Author: "S. Anitha" / Language: english - Searchworks@Jio Institute Digital Library Search Results

227 results on '"S. Anitha"'

1. A novel approach to macular edema detection: DeepLabv3+ segmentation and VGG with vision transformer classification

Author: C. Kotteeswari, V. Chandrasekaran, and S. Anitha
Subjects: Macular edema, DeepLabv3+, deep learning, VGG, vision transformer, segmentation, Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5
Abstract: The domain of deep learning has seen significant advancements, particularly in the context of detecting macular edema from images of the retina, in recent times. This study introduces an innovative model for identifying macular edema, employing two deep learning models: Deeplabv3 + and VGG with a vision transformer. The Deeplabv3 + model is used to segment the macula region in the retinal images. The segmented macula region is then fed into the VGG for feature extraction with a vision transformer model for detection. This approach leverages the strengths of both models in detecting accurately and efficiently. The Deeplabv3 + model can accurately segment the macula region, which is crucial for accurate detection. The VGG combined with a vision transformer model proves highly efficient in detecting even subtle changes in the macular region, signifying the existence of macular edema. The results of our experiments with the dataset show that the proposed method outperforms current cutting-edge techniques. With an outstanding precision rate of 99.53%, the suggested approach firmly solidifies its superiority. The results highlight the effectiveness of the proposed technique in precisely and effectively detecting pathological fluid accumulation in retina images. This ability can have a substantial influence on the early detection and management of eye disorders.
Published: 2024
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2. High order sliding mode observer-based fault-tolerant control scheme for DFIG in wind energy applications with model predictive controller

Author: Sarika S and S. Anitha Janet Mary
Subjects: High order sliding mode observer (HOSMO), doubly-fed induction generators (DFIG), model predictive controller (MPC), wind turbine (WT), Control engineering systems. Automatic machinery (General), TJ212-225, Automation, T59.5
Abstract: This research presents a novel fault-tolerant predictive power control method for a Doubly-fed induction generator (DFIG) used in wind turbine control systems. Due to the proposed control mechanism, the system can continue to function effectively despite open-circuit or short-circuit faults in the insulated-gate bipolar transistors (IGBTs) of the MPC controller. Depending on the type of problem and its location, the tolerant IGBT overcomes power oscillations and limits the power converter's potential switching states. By monitoring the optimal generator speed, wind turbine control systems strive to maximize power output. For wind turbines operating in the partial-load area, a fault-tolerant model predictive control strategy is recommended in order to achieve control goals despite disturbances, uncertainties, sensor, and actuator difficulties. A high order sliding mode observer (HOSMO) is used to evaluate both the actual states and sensor-faults at the same time. A high order sliding mode (HOSM) control strategy based on the MPC controller is used to regulate the speed of wind turbines in order to harness the wind's maximum power.
Published: 2024
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3. Coagulase-negative Staphylococci – A True Pathogen in Bloodstream Infections and their Resistance Patterns in a Tertiary Care Hospital

Author: S. Anitha, S. Sijimol, K. Akila, M. Kamal Raj, Sekhar Ambuja, S. Senthamarai, S. Sivasankari, and V.J. Subha
Subjects: coagulase-negative staphylococci (cons), blood culture, true pathogen, Microbiology, QR1-502
Abstract: Coagulase-negative staphylococci (CoNS) are primary skin commensals that have long been considered contaminants even when grown in blood cultures. This group of organisms has been recently recognized as a potential causative pathogen of septicemia. This increase has been attributed to the increased use of intravascular and prosthetic devices. Hence, we aimed to estimate the prevalence of CoNS as a true pathogen in adult and pediatric blood cultures along with their antibiotic susceptibility patterns. A total of 1076 adult and 611 pediatric blood cultures were subjected to an automated BacT/ALERT continuous monitoring system. Isolated CoNS were considered true pathogens if they met the diagnostic, clinical, and laboratory criteria. Antimicrobial susceptibility testing for pathogenic CoNS was carried out using the Kirby-Bauer disk diffusion method and interpreted as per CLSI 2021. CoNS were considered true pathogens in 23 (42.5%) of 54 adults and 12 (41.3%) of 29 pediatric CoNS isolated from blood cultures. Methicillin-resistant CoNS was detected in 66% and 70% of adult and pediatric cultures, respectively. All the CoNS isolates were sensitive to vancomycin and linezolid. Coagulase-negative staphylococci (CoNS) can either be a contaminant or a true pathogen, whose discrimination based on clinical and laboratory indices plays a pivotal role in the management of patients with sepsis.
Published: 2024
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4. Smart phone based automated diabetic retinopathy detection system

Author: S. Anitha and S. Priyanka
Subjects: Diabetic retinopathy, Convolution neural network, TensorFlow, Deep learning, Flutter, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4
Abstract: One of the major causes of blindness across individuals of various age groups and genders is Diabetic Retinopathy (DR). It is mainly caused by Diabetes. The symptoms of DR include seeing an increased number of floaters, blurry vision, vision that changes from blurry to clear sometimes, seeing dark areas in the field of vision, poor night vision and so on. A patient who has been diagnosed with diabetes for a long time is prone to DR. This paper proposes a robust, deep learning based mobile application to address the said issue. The rationale behind the development of the mobile application is to detect DR in far-flung areas, which do not have regular access to healthcare facilities. An input image captured by an ophthalmoscope when fed to the mobile application can give result within a few seconds. The model utilizes convolution neural networks build upon the VGG model. The proposed system quantifies the “confidence level” with a high accuracy of 96 %. Another feature of the proposed system is that it can work offline without any network connectivity, thus making it more useful in remote areas. The application further has a user friendly and intuitive interface.
Published: 2024
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5. Plithogenic Cubic Vague Sets

Author: S. Anitha and A. Francina Shalini
Subjects: cubic vague set, plithogenic fuzzy cubic vague set, plithogenic intuitionistic fuzzy cubic vague set, plithogenic neutrosophic cubic vague set, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95
Abstract: To measure the level of accuracy of crisp, fuzzy, intuitionistic fuzzy sets and neutrosophic set various mathematical tools are available. The generalization of these four sets is Plithogenic set. In this paper, for the first time we introduce the concept of plithogenic cubic vague set and its generalization, plithogenic fuzzy cubic vague set, plithogenic intuitionistic fuzzy cubic vague set, plithogenic neutrosophic cubic vague set. It is the combination of cubic vague set and plithogenic set. It aims to address the problems involving multiple attribute decision making. This concept is suitable and the accuracy of the result is precise as the set is described by more value of attributes. An attribute value v has a corresponding (fuzzy, intuitionistic fuzzy, neutrosophic) degree of appurtenance d(x,v) of the element x to the set P, with respect to some given criteria. Its corresponding internal and external sets are also discussed with examples. Further, P-union, P-intersection as well as R-union and R-intersection are introduced for plithogenic cubic vague sets which acts as a tool to study some of their properties. Some examples of the newly developed concepts in our everyday life is offered in this article.
Published: 2023
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6. A Demand Forecasting Model Leveraging Machine Learning to Decode Customer Preferences for New Fashion Products

Author: S. Anitha and R. Neelakandan
Subjects: Electronic computers. Computer science, QA75.5-76.95
Abstract: Demand forecasting for new products in the fashion industry has always been challenging due to changing trends, longer lead times, seasonal shifts, and the proliferation of products. Accurate demand forecasting requires a thorough understanding of consumer preferences. This research suggests a model based on machine learning to analyse customer preferences and forecast the demand for new products. To understand customer preferences, the fitting room data are analysed, and customer profiles are created. K-means clustering, an unsupervised machine learning algorithm, is applied to form clusters by grouping similar profiles. The clusters were assigned weights related to the percentage of product in each cluster. Following the clustering process, a decision tree classification model is used to classify the new product into one of the predefined clusters to predict demand for the new product. This demand forecasting approach will enable retailers to stock products that align with customer preferences, thereby minimising excess inventory.
Published: 2024
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7. Trust management based multidimensional secure cluster with RSA cryptography algorithm in WSN for secure data transmission

Author: S. Anitha, S. Saravanan, and A. Chandrasekar
Subjects: Cluster, Trust management scheme, RSA cryptography, WSN, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4
Abstract: WSNs are now widely used for information gathering and transmission using WSN. Due to its low cost and simple communication, this type of network is widely used in many applications. Although hierarchical routing protocols may handle a variety of applications, choosing a Cluster Head (CH) and balancing network overload are difficult problems. This recommended strategy provides LEACH Protocol based on Novel Trust Management with Cryptographic RSA algorithm (NTM-LEACH-RSA) to extend the lifetime of network and to consume less energy. Here the proposed methodology includes two aspects for improving Security in WSN. Using the suggested NTM-LEACH technique, cluster formation and cluster head election are carried out in the first phase. Here, the threshold function value, the distance and density between nearby nodes, and the trust value are used to elect the cluster head. Based on the energy domain and the distance domain, the threshold function value is estimated in this case. The RSA cryptography technique is employed in the second phase to protect data transmission and guarantee data integrity. By using simulation tools, the proposed NTM-LEACH-RSA methodology's performance analysis is estimated. In comparison to other algorithms currently in use, it also offers higher performance results.
Published: 2023
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8. Targeting potential receptor molecules in non-small cell lung cancer (NSCLC) using in silico approaches

Author: C. Kirubhanand, J. Merciline Leonora, S. Anitha, R. Sangeetha, K. T. Nachammai, K. Langeswaran, and S. Gowtham Kumar
Subjects: lochnericine, quantum chemical calculations, molecular docking, molecular dynamics, anticancer study, non-small lung cancer, Biology (General), QH301-705.5
Abstract: Introduction: Non-Small Cell Lung Cancer is the most prevalent type of cancer in lung cancer. Chemotherapy, radiation therapy, and other conventional cancer treatments have a low success rate. Thus, creating new medications is essential to halt the spread of lung cancer.Methods: In this study bioactive nature of lochnericine against Non-Small Cell Lung Cancer (NSCLC) was analyzed using various computational approaches such as quantum chemical calculations, molecular docking, and molecular dynamic simulation. Furthermore, the MTT assay shows the anti-proliferation activity of lochnericine.Results and Discussion: Using Frontier Molecular Orbital (FMO), the calculated band gap energy value associated with bioactive compounds and the molecule’s potential bioactivity is confirmed. The H38 hydrogen atom and O1 oxygen atom in the molecule are effectively electrophilic, and potential nucleophilic attack sites were confirmed through analysis of the Molecular electrostatic potential surface. Furthermore, the electrons within the molecule were delocalized, which confers bioactivity on the title molecule and was authorized through Mulliken atomic charge distribution analysis. A molecular docking study revealed that lochnericine inhibits non-small cell lung cancer-associated targeted protein. The lead molecule and targeted protein complex were stable during molecular dynamics simulation studies till the simulation period. Further, lochnericine demonstrated remarkable anti-proliferative and apoptotic features against A549 lung cancer cells. The current investigation powerfully suggests that lochnericine is a potential candidate for lung cancer.
Published: 2023
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9. Looking through the lens of a sexual assault examiner: novel trends and approaches in forensic photography

Author: Renjulal Yesodharan, Tessy Treesa Jose, M. Nirmal Krishnan, S. Anitha, and Vinod C. Nayak
Subjects: SANE, SAFE, Forensic science, Forensic photography, Colposcopy, E-consent, Law in general. Comparative and uniform law. Jurisprudence, K1-7720, Medicine (General), R5-920
Abstract: Abstract Background Sexual violence is cancerous, and it malignantly affects all strata of our community regardless of age, gender, race, ability, and social status. Excellent healthcare service requires professionals who can do a sexual assault examination, collect medico-legal evidence, take photographs of patients' anatomy that was involved in the assault and document what is there and where it is in relation to the victims or perpetrators body or other parts of the crime scene, whether or not it is connected to the crime. Main text The objective of this article to orient the professions to the novel trends and approaches in forensic photography, namely e-consent, digital cameras and their accessories, dedicated forensic software, and photographic protocols and procedures. Conclusion The inadequate and improper collection, preservation and presentation of evidence can lead to crime scene errors and fewer conviction rates. Training in forensic photography is vital and a game-changer in the sexual assault examination.
Published: 2021
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10. Self- blowing non-isocyanate polyurethane foam: Synthesis, characterization and properties

Author: S. Anitha, G Unnikrishnan, and K.S. Santhosh Kumar
Subjects: Cyclic carbonate, Foaming, Closed cell structure, Temperature dependent FTIR, Adhesion, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract: Polyurethane (PU) foams are inevitable for many applications from comfort materials or energy saving to aerospace. Today, greener routes for their production have gained thoughtful attention among the scientific community by avoiding mainly the use of toxic isocyanates. An easily scalable process for the realization of self-blown isocyanate-free PU (poly (hydroxy urethane)-PHU) foams by exploiting suitable amines and cyclic carbonates is demonstrated in this work. The foaming is attributed to the release of CO2, from the reaction of cyclic carbonate of resorcinol diglycidyl ether (RDGCC) with amine terminated oligomeric phenyl hydroxy amine (AOPHA), where a parallel reaction of the hydroxyl groups and amino groups with the cyclic carbonate groups are competing during polymerization and culminate in poly (hydroxy urethane) foam. The released gas was confirmed as CO2 from GC–MS and temperature dependent FTIR. The realized flexible PHU foam is thermally stable (>250 ℃) with adhesive strength between Al-Al as 1.5 to 2.0 MPa, and with a closed cell structure possessing a density of 480 kg/m3.
Published: 2022
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11. Wear Investigation of Aluminum Alloy Surface Layers Fabricated through Friction Stir Welding Method

Author: S. Vijayakumar, S. Anitha, R. Arivazhagan, Ashebir Dingeto Hailu, T. V. Janardhana Rao, and Hari Prasadarao Pydi
Subjects: Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract: In this research paper, an effort was made to investigate the dry sliding wear rate of friction stir welded AA6262/AA5456 composite performed by the Taguchi approach. Wear experiments are carried out by selecting suitable process parameters such as load (LD), sliding speed (SS), and sliding distance (SE) to recognize the individual and combination effects of parameters. Orthogonal array L27 mode is applied to make numbers of experiments to find the extreme and minimum wear amount. The experimental works are conducted on Pin on Disc (POD) apparatus and measured the weight of samples before and after test for calculating wear rate (WR) and then various analyses are performed such as ANOVA, interaction plot between parameters, and regression model with support of MINITAB software. The results revealed that maximum wear rate is found as 0.01215 mm3/Nm at LD of 50 N, SE of 600 m, and SS of 4 m/s, whereas minimum 0.00414 mm3/Nm at the grouping process parameters which are LD of 30 N, SE of 400 m, and SS of 6 m/s. From the observation of ANOVA, the most significant factor is identified as load, followed by sliding distance, sliding speed, and combination of each parameter. The load is considered as main parameter which contributes about 83.75% to achieve the maximum wear rate of developed AA6262/5456 composites. The contribution of sliding distance and speed are 3.75% and 1.85%, respectively.
Published: 2022
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12. A Narrative Review: In-vitro Methods for Assessing Bio-Accessibility/Bioavailability of Iron in Plant-Based Foods

Author: N. Sulaiman, D. I. Givens, and S. Anitha
Subjects: in-vitro, iron, bioavailability, bio-accessibility, INFOGEST, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456
Abstract: In-vitro measurement has the advantage of rapid and convenient method of screening the iron bioavailability within the range of plant-based foods. It is important to do preliminary screening as it provides information which will be useful to identify promising plant sources of iron before moving to human trials. A review on in-vitro methods of bio-accessibility and bioavailability of iron in plant-based foods including fruits, vegetables, cereals and legumes is entailed here. The review will focus on in-vitro methods of iron bioavailability in plant-based foods and the effects of inhibitors and processing on the iron bioavailability. The variation of the methods and updates on a recent INFOGEST method used to measure the bioavailability of iron in plant-based foods will also be discussed.
Published: 2021
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13. Biosynthesis of Silver Nanoparticles Using Azadirachta indica and Their Antioxidant and Anticancer Effects in Cell Lines

Author: S. Anitha Kumari, Anita K. Patlolla, and P. Madhusudhanachary
Subjects: Azadirachta indica, green synthesis, silver nanoparticles, DPPH, MTT, Mechanical engineering and machinery, TJ1-1570
Abstract: In the present study, silver nanoparticles (Ag-NPs) were synthesized using Azadirachta indica extract and evaluated for their in vitro antioxidant activity and cytotoxicity efficacy against MCF-7 and HeLa cells. The silver nanoparticles (Ag-NPs) were formed within 40 min and after preliminary confirmation by UV-visible spectroscopy (peak observed at 375 nm), they were characterized using a transmission electron microscope (TEM) and dynamic light scattering (DLS). The TEM images showed the spherical shape of the biosynthesized Ag-NPs with particle sizes in the range of 10 to 60 nm, and compositional analysis was carried out. The cytotoxicity and antioxidant activity of various concentrations of biosynthesized silver nanoparticles, Azadirachta indica extract, and a standard ranging from 0.2 to 1.0 mg/mL were evaluated. The 2,2-Diphenyl-1-picrylhydrazyl (DPPH) activity of the biosynthesized Ag-NPs and aqueous leaf extract increased in a dose-dependent manner, with average IC50 values of the biosynthesized Ag-NPs, aqueous leaf extract, and ascorbic acid (standard) of 0.70 ± 0.07, 1.63 ± 0.09, and 0.25 ± 0.09 mg/mL, respectively. Furthermore, higher cytotoxicity was exhibited in both the MCF-7 and HeLa cell lines in a dose-dependent manner. The average IC50 values of the biosynthesized Ag-NPs, aqueous leaf extract, and cisplatin (standard) were 0.90 ± 0.07, 1.85 ± 0.01, and 0.56 ± 0.08 mg/mL, respectively, with MCF-7 cell lines and 0.85 ± 0.01, 1.76 ± 0.08, 0.45 ± 0.10 mg/mL, respectively, with HeLa cell lines. Hence, this study resulted in an efficient green reductant for producing silver nanoparticles that possess cytotoxicity and antioxidant activity against MCF-7 and HeLa cells.
Published: 2022
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14. Complicated urinary tract infection by Trichosporon loubieri

Author: T. Premamalini, S. Anitha, S.V. Rajyoganandh, H. Veena, and Anupma J. Kindo
Subjects: Medicine (General), R5-920, Biology (General), QH301-705.5
Abstract: We report two cases of complicated Urinary Tract Infection, one with nephrostomy tube left in-situ and other with bladder outlet obstruction, caused by Trichosporon loubieri. Both patients responded well to antifungal treatment along with change/removal of catheters. In both the cases, correct identification of T. loubieri was done by IGS1 sequencing. Prompt identification and timely management headed to good clinical outcome. Hence, clinicians should be aware of T. loubieri as an emerging fungi causing human infections. Keywords: Trichosporon loubieri, Urinary tract infection, Nephrostomy tube, Bladder outlet obstruction, IGS1 sequencing
Published: 2019
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15. Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano

Author: H. M. Mohan, S. Anitha, Rifai Chai, and Sai Ho Ling
Subjects: Electronic computers. Computer science, QA75.5-76.95
Abstract: The history of medicine shows that myocardial infarction is one of the significant causes of death in humans. The rapid evolution in autonomous technologies, the rise of computer vision, and edge computing offers intriguing possibilities in healthcare monitoring systems. The major motivation of the work is to improve the survival rate during a cardiac arrest through an automatic emergency recognition system under ambient intelligence. We present a novel approach to chest pain and fall posture-based vital sign detection using an intelligence surveillance camera to address the emergency during myocardial infarction. A real-time embedded solution persuaded from “edge AI” is implemented using the state-of-the-art convolution neural networks: single shot detector Inception V2, single shot detector MobileNet V2, and Internet of Things embedded GPU platform NVIDIA’s Jetson Nano. The deep learning algorithm is implemented for 3000 indoor color image datasets: Nanyang Technological University Red Blue Green and Depth, NTU RGB + D dataset, and private RMS dataset. The research mainly pivots on two key factors in creating and training a CNN model to detect the vital signs and evaluate its performance metrics. We propose a model, which is cost-effective and consumes low power for onboard detection of vital signs of myocardial infarction and evaluated the metrics to achieve a mean average precision of 76.4% and an average recall of 80%.
Published: 2021
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16. Influence of Concrete Type and Acidic Environment on the Behaviour of Concrete Filled Steel and FRP Tubes

Author: Manikanta Kopuri, N A G K and Priyadharshani, S. Anitha
Published: 2024
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17. SURVEY ON CLUSTERING ALGORITHM AND SIMILARITY MEASURE FOR CATEGORICAL DATA

Author: S. Anitha Elavarasi and J. Akilandeswari
Subjects: Clustering, Categorical Data, Time Complexity, Similarity Measure, Data Mining Tools, Computer engineering. Computer hardware, TK7885-7895
Abstract: Learning is the process of generating useful information from a huge volume of data. Learning can be either supervised learning (e.g. classification) or unsupervised learning (e.g. Clustering) Clustering is the process of grouping a set of physical objects into classes of similar object. Objects in real world consist of both numerical and categorical data. Categorical data are not analyzed as numerical data because of the absence of inherit ordering. This paper describes about ten different clustering algorithms, its methodology and the factors influencing its performance. Each algorithm is evaluated using real world datasets and its pro and cons are specified. The various similarity / dissimilarity measure applied to categorical data and its performance is also discussed. The time complexity defines the amount of time taken by an algorithm to perform the elementary operation. The time complexity of various algorithms are discussed and its performance on real world data such as mushroom, zoo, soya bean, cancer, vote, car and iris are measured. In this survey Cluster Accuracy and Error rate for four different clustering algorithm (K-modes, fuzzy K-modes, ROCK and Squeezer), two different similarity measure (DISC and Overlap) and DILCA applied for hierarchy and partition algorithm are evaluated.
Published: 2014

18. Effect of irrigants using ultrasonics on intracanal calcium hydroxide removal – an in vitro comparative evaluation

Author: S. Anitha Rao and N. Manasa
Subjects: Smear clear, Calcium hydroxide, Root canal irrigants, Dentistry, RK1-715
Abstract: Aim: To evaluate the efficacy of various irrigating solutions on calcium hydroxide (Apex cal and RC cal) removal with the use of ultrasonics. Methods: The root canals of 120 single-rooted maxillary central incisors were prepared using the stepback technique. The teeth were decoronated and split longitudinally. After filling, the two halves of roots were reassembled with sticky wax and each group was further divided into four subgroups according to the irrigating solution: Smear Clear, 10% citric acid, 5% EDTA and 3% NaOCl. Evaluation for cleanliness was done under a microscope with ×12.5 magnification. Statistical analysis was done with Kruskal Wallis and Mann Whitney tests at 5% level of significance. Results: There was no statistically significant difference (p>0.05) for calcium hydroxide (Apex Cal and RC Cal) removal by different irrigants. There were more residues in the apical groove than in the coronal groove (p
Published: 2015
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19. Schizophyllum Commune a Causative Agent of Fungal Sinusitis: A Case Report

Author: T. Premamalini, B. T. Ambujavalli, S. Anitha, L. Somu, and Anupma J. Kindo
Subjects: Infectious and parasitic diseases, RC109-216
Abstract: We present a case of maxillary sinusitis caused by Schizophyllum commune, in a 50-year-old female. The patient presented with nasal obstruction, purulent nasal discharge from right side of the nose, cough, headache, and sneezing. Computed tomography revealed extensive opacity of the right maxillary sinus as well as erosion of the nasal wall and maxillary bone. Functional endoscopic sinus surgery was done, and fungal debris present on right side of the maxillary sinus was removed and sent to laboratory. Potassium hydroxide (KOH) examination of the nasal discharge showed hyaline, septate hyphae. Primary isolation on Sabouraud's dextrose agar (SDA) yielded a white woolly mould. Banana peel culture after 8 weeks showed macroscopically visible fan-shaped fruiting bodies. Lactophenol cotton blue (LPCB) mount of the same revealed hyaline septate hyphae, often with clamp connections. Identification was confirmed by the presence of clamp connections formed on the hyphae and by vegetative compatibility with known isolates.
Published: 2011
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20. The use of ultrasonication in producing potato-based milk, and to determine its proximate composition

Author: S, Anitha. and A, Manivannan.
Published: 2023
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21. Processing of functional yogurt-like product from potato milk supplemented with probiotic bacteria and evaluation of its proximate composition

Author: S, Anitha and A, Manivannan
Published: 2023
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22. Ultrasound-assisted preparation of potato milk and optimizing the formulation via response surface methodology

Author: S, Anitha and A, Manivannan
Published: 2023
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23. Nutritional evaluation of potato milk produced by ultrasonication–A functional alternative for bovine milk

Author: S, Anitha and A, Manivannan
Published: 2023
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24. Structural exploration of interactions of (+) catechin and (−) epicatechin with bovine serum albumin: Insights from molecular dynamics and spectroscopic methods

Author: S., Anitha, V., Saranya, R., Shankar, and V., Sasirekha
Published: 2022
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25. High order sliding mode observer-based fault-tolerant control scheme for DFIG in wind energy applications with model predictive controller.

Author: S., Sarika and Janet Mary, S. Anitha
Subjects: FAULT-tolerant control systems, WIND power, INSULATED gate bipolar transistors, PREDICTION models, INDUCTION generators
Abstract: This research presents a novel fault-tolerant predictive power control method for a Doubly-fed induction generator (DFIG) used in wind turbine control systems. Due to the proposed control mechanism, the system can continue to function effectively despite open-circuit or short-circuit faults in the insulated-gate bipolar transistors (IGBTs) of the MPC controller. Depending on the type of problem and its location, the tolerant IGBT overcomes power oscillations and limits the power converter’s potential switching states. By monitoring the optimal generator speed, wind turbine control systems strive to maximize power output. For wind turbines operating in the partial-load area, a fault-tolerant model predictive control strategy is recommended in order to achieve control goals despite disturbances, uncertainties, sensor, and actuator difficulties. A high order sliding mode observer (HOSMO) is used to evaluate both the actual states and sensor-faults at the same time. A high order sliding mode (HOSM) control strategy based on the MPC controller is used to regulate the speed of wind turbines in order to harness the wind’s maximum power. [ABSTRACT FROM AUTHOR]
Published: 2024
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26. Tuning the Morphology and State of Aggregation of Fullerene C60 using Non-ionic Surfactants

Author: Ramakanth, Illa, Kolenčík, Marek, Rao, M. Srinivasa, Sunil, B. Ratna, Vijayasree, U., Durgababu, G., Devi, S. Anitha, Šebesta, Martin, and Siva, T.
Published: 2021
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27. A Cross-Sectional Study on Magnitude of Post-Partum Depression and Factors Associated with it among Postnatal Mothers Visiting a Tertiary Care Setting in Mangalore, Karnataka.

Author: Begum, Shahina, S., Anitha, and Sushantha
Subjects: POSTPARTUM depression, EDINBURGH Postnatal Depression Scale, TERTIARY care, DEPRESSION in women, UNWANTED pregnancy
Abstract: Introduction: Postnatal period is a vulnerable time for women, with 85% experiencing mood disturbances due to physical and emotional changes. Depression, being one such common occurrence is known to have large impact on morbidities of mother and child. Hence it is crucial to know the factors effecting post-partum depression (PPD). Aims: To assess the burden of postpartum depression and factors associated with it. Materials and methods: The cross-sectional study was conducted in a private tertiary care hospital on women in their postnatal period (6 – 8 weeks). Data was collected using pretested semi-structured questionnaire, and depression was assessed using Edinburgh Postnatal Depression Scale; data was analyzed using SPSS. Results: Around 34% had probable depression. Risk factors were found be: those having lower educational status, semi/unskilled occupation, non-nuclear family, lower SES, complications in present / past pregnancy, multiple gestation, unwanted pregnancy, pressure for female child, poor relationship with family members including husband’s absence during delivery. Conclusion: Prevalence of depression in postnatal women is high. Modifiable psychosocial factors have a close association with PPD, which constitute the potential factors of intervention. [ABSTRACT FROM AUTHOR]
Published: 2024
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28. Empirical Evaluation of Coding and Inter Pixel Redundancy in still Image Compression.

Author: S., Anitha and J., Kavitha
Subjects: IMAGE compression, GRAYSCALE model, JPEG (Image coding standard), PIXELS
Abstract: The main aim of this research work is to compress grayscale images efficiently using prediction and intensity-based image compression algorithms. Image compression is useful for removing the duplication in an image to store and transmit the data in an efficient form. This research work analyzes four new schemes for gray scale lossy image compression. Among the four schemes considered, two compressive approaches are designed for Prediction Based Image Compression (PBIC) level implementation. Third approach is designed for Intensity Based Image Compression (IBIC). Finally, the previously designed PBIC and IBIC schemes lead to an Integrated Encoder. All the considered method performances are analyzed using the performance metrics. These results are compared with JPEG 2000 which is a extensively used benchmark compression encoder. The outcome of all the proposed methods is also compared with modern encoders. [ABSTRACT FROM AUTHOR]
Published: 2024
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29. Removing Coding and Inter Pixel Redundancy in Image Compression.

Author: S., Anitha and J., Kavitha
Subjects: IMAGE compression, DIGITAL images, PIXELS, DIGITAL technology, SINGULAR value decomposition
Abstract: The Digital image plays an important role in today’s digital world. Storing and transmitting digital images efficiently is a challenging job. There are lots of techniques for reducing the size of digital pictures. This paper adapts the following method. The digital technique is separated into high and low resolutions. The low intensity and high intensity pixels single-handedly is dense and decompressed using three diverse algorithms to hit upon out the occurrence of low down intensity pixels in the picture. Totally six algorithms are experienced by means of benchmark images and the most excellent scheme is selected for concluding compression. A Comparison is made between the results obtained using these techniques and those obtained using JPEG 2000. [ABSTRACT FROM AUTHOR]
Published: 2024
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30. Dead Men Do Even Tell Filled Tales.

Author: Rao, S. Anitha, Rao, G. Venkateshwar, Chandrasekhar, V., Chowdary, Kolli Tejaswi, and Sana, Shaik
Subjects: FORENSIC dentistry, CONE beam computed tomography, DENTAL pulp, OPERATIVE dentistry, DENTAL materials, DEAD, DENTAL pulp cavities
Abstract: Background: Dental identification of deceased individual is a core task in the forensic dentistry. The accurate recording of clinical procedures has become more important over the time because of the increasing trends of lawsuits worldwide. Advances in imaging, root canal anatomy and restorative materials have been consistently emerging in present research and practice. Hence, the purpose of this paper is to provide an update on interrelationship between restorative dentistry and forensic personal identification. Aim: To observe the effects of predetermined incineration temperatures (400 and 800) on unrestored and restored teeth with different restorative materials, and its effect on length of tooth and volume of the pulp under Stereomicroscope and CBCT. Materials and Methods: 48 extracted premolar teeth were divided into 2 groups based on predetermined temperatures and subdivided into 4 subgroups based on restorative material used. Subgroup i- Unrestored teeth, Subgroup ii- class I Amalgam restoration, Subgroup iii- class I Amalgomer restoration and Subgroup iv- class I Cention restoration. The Antemortem and postmortem records were compared using Stereomicroscope and CBCT. Results: Teeth exposed to incineration at different temperatures will be analyzed under Stereomicroscope and CBCT. [ABSTRACT FROM AUTHOR]
Published: 2024
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31. Cytopathological pattern of cervical pap smears: A retrospective descriptive study at a tertiary care centre in a South Indian state.

Author: S., Anitha, Bhagavan, Veena K. R., and Divya, Venati
Subjects: *PAP test, *INDIAN women (Asians), *TERTIARY care, *PRECANCEROUS conditions, *BACTERIAL vaginitis, *CERVICAL intraepithelial neoplasia
Abstract: Background: Cervical cancer ranks as the 2nd most frequent cancer among women in India. Papanicolaou (Pap) smear test is the mainstay of cervical cancer screening. Objective: To estimate the prevalence of cervical epithelial abnormalities and to evaluate the pattern of cervical Pap smear cytology at a tertiary care centre. Materials and Methods: This is a hospital based retrospective descriptive study conducted among the patients who previously attended OPD of Department of Obstetrics and Gynaecology between the period of May 2022 and May 2023 and included evaluation of all the pap smears (the Bethesda system 2014) reported during this time period. Results: In the present study, 1318 cases were analysed during the study period. 34 smears (2.57%) were found to be unsatisfactory for evaluation and 1267 (96.13%) were NIEL/NIEM. 5 smears (0.37%) were found to be ASC-US, 7 smears (0.53%) were found to be ASC-H, 2 smears (0.15%) were found to be HSIL and 4 smears (0.30%) were found to be reported with Squamous cell carcinoma. Among the smears which reported infections, bacterial vaginosis was the most common one. Conclusion: It was reported that premalignant and malignant lesions of cervix are not much common in our setting. [ABSTRACT FROM AUTHOR]
Published: 2024

32. PREPARATION AND ANALYSIS OF NUTRITIONAL AND ANTIOXIDANT PROFILE OF LEMON (CITRUS LIMON) PEEL POWDER.

Author: ABBIHAL, GANGUBAI P., HULAMANI, SAVITA, and S., ANITHA
Subjects: LEMON, ANTIOXIDANT analysis, POWDERS, FOOD additives, POLYPHENOLS
Published: 2024
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33. Toxicity Evaluation of Silver Nanoparticle in the Kidneys of Wistar Rats.

Author: Patllola, Anita K., Kumari, S. Anitha, and Lusk, Zada
Subjects: SILVER nanoparticles, TOXICITY testing, KIDNEY physiology, BIOCHEMISTRY, HISTOPATHOLOGY, LABORATORY rats
Abstract: This study aimed to evaluate the nephrotoxic effects of silver nanoparticles (AgNPs) in Wistar rats using biochemical, oxidative stress and histopathological changes. Three groups of six rats were orally administered AgNPs once a day for 28 days with doses of 100, 500, 1000 mg/kg bodyweight. A control group was administered with deionized water. Blood and kidneys were collected 24 hours after the last treatment following standard protocols. The activities of creatinine and blood urea nitrogen against AgNP-induced toxicity was determined in the serum by colorimetric microplate assay. Various activity levels of oxidative stress including, Catalase (CAT), Superoxide dismutase (SOD), Glutathione peroxidase (GPx) and Lipid hydroperoxides (LPO) were evaluated in the kidney tissue. Scanning (SEM) and transmission electron microscopy (TEM) was used to determine the histopathological evaluation of the kidneys. A significant increase in the levels of serum creatinine, blood urea nitrogen, CAT and LPO, were noted in AgNPs exposed rats compared to that in control rats. In contrast, decreased activities of SOD and GPx in a dose-dependent manner was observed in AgNPs exposed rats relative to control rats. SEM and TEM study showed significant morphological alterations in kidneys of AgNPs exposed rats in accordance with the biochemical markers. The results of the study demonstrate that AgNPs might be nephrotoxic, and its toxicity is mediated through oxidative stress mechanism. [ABSTRACT FROM AUTHOR]
Published: 2023

34. Brain Tumor Detection Based on Amended Convolution Neural Network Using MRI Images.

Author: M., Mohanasundari, V., Chandrasekaran, and S., Anitha
Subjects: CONVOLUTIONAL neural networks, BRAIN tumors, MAGNETIC resonance imaging, IMAGE segmentation, FEATURE extraction
Abstract: Brain tumors are one of the most threatening malignancies for humans. Misdiagnosis of brain tumors can result in false medical intervention, which ultimately reduces a patient's chance of survival. Manual identification and segmentation of brain tumors from Magnetic Resonance Imaging (MRI) scans can be difficult and error-prone because of the great range of tumor tissues that exist in various individuals and the similarity of normal tissues. To overcome this limitation, the Amended Convolutional Neural Network (ACNN) model has been introduced, a unique combination of three techniques that have not been previously explored for brain tumor detection. The three techniques integrated into the ACNN model are image tissue preprocessing using the Kalman Bucy Smoothing Filter to remove noisy pixels from the input, image tissue segmentation using the Isotonic Regressive Image Tissue Segmentation Process, and feature extraction using the Marr Wavelet Transformation. The extracted features are compared with the testing features using a sigmoid activation function in the output layer. The experimental findings show that the suggested model outperforms existing techniques concerning accuracy, precision, sensitivity, dice score, Jaccard index, specificity, Positive Predictive Value, Hausdorff distance, recall, and F1 score. The proposed ACNN model achieved a maximum accuracy of 98.8%, which is higher than other existing models, according to the experimental results. [ABSTRACT FROM AUTHOR]
Published: 2023
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35. Statistical Model Identification and Variable Selection for Prediction of Heat Exchanger Fouling

Author: S. Anitha Kumari, A. Vimala Starbino, B. Priya Esther, and Albert Alexander Stonier
Subjects: Article Subject, General Mathematics, General Engineering
Abstract: Fly ash generated during boiler combustion are carried away with hot flue gas and deposited over the heat exchanger surfaces. This study was motivated by the decline in the thermal efficiency of the heat exchangers in thermal power plants due to ash fouling. The paper discusses a new computational procedure that has been attempted to identify the best statistical model for predicting heat exchanger fouling and also to choose the most strongly linked covariates. In this context, three different statistical models including multiple linear regression, sliced inverse regression, and random forests regression are used to estimate the cleanliness factor of the heat exchanger. The variables and model are chosen solely on the basis of analytical procedures. Heat exchanger metal tube temperature that highly influences the cleanliness factor is selected using a measure of importance based on random perturbations. Metal temperature above a threshold is selected as a strongly linked covariate. The R package modevarsel is used here to perform the statistical analysis. The value of root mean square error for the cleanliness factor from sliced inverse regression and random forest is 0.0002, indicating that as more feasible in predicting ash fouling.
Published: 2023
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36. Looking through the lens of a sexual assault examiner: novel trends and approaches in forensic photography

Author: Vinod C. Nayak, M. Nirmal Krishnan, Tessy Treesa Jose, S. Anitha, and Renjulal Yesodharan
Subjects: Medicine (General), Health (social science), media_common.quotation_subject, Forensic photography, Criminology, Pathology and Forensic Medicine, Through-the-lens metering, Presentation, R5-920, Crime scene, E-consent, health care economics and organizations, media_common, Sexual violence, social sciences, K1-7720, SAFE, Forensic science, Law in general. Comparative and uniform law. Jurisprudence, Colposcopy, SANE, Conviction, Psychology, Law, Social status
Abstract: Background Sexual violence is cancerous, and it malignantly affects all strata of our community regardless of age, gender, race, ability, and social status. Excellent healthcare service requires professionals who can do a sexual assault examination, collect medico-legal evidence, take photographs of patients' anatomy that was involved in the assault and document what is there and where it is in relation to the victims or perpetrators body or other parts of the crime scene, whether or not it is connected to the crime. Main text The objective of this article to orient the professions to the novel trends and approaches in forensic photography, namely e-consent, digital cameras and their accessories, dedicated forensic software, and photographic protocols and procedures. Conclusion The inadequate and improper collection, preservation and presentation of evidence can lead to crime scene errors and fewer conviction rates. Training in forensic photography is vital and a game-changer in the sexual assault examination.
Published: 2021

37. Estimating irrigation water requirement in rice by integration of satellite data and agrometeorological indices in Palakkad, Kerala.

Author: RAJU, CHINNU, K., AJITH, B., AJITHKUMAR, S., ANITHA, and V., DIVYA VIJAYAN
Subjects: WATER requirements for crops, IRRIGATION water, NORMALIZED difference vegetation index, IRRIGATION scheduling, SUSTAINABLE agriculture, EVAPOTRANSPIRATION
Abstract: The sustainability of irrigated agriculture is jeopardized by catastrophic climate change, with projected forecasts indicating that by 2025, one out of every four people on the planet will be experiencing extreme water scarcity. In this context, an attempt was made for scheduling irrigation at a regional scale combining satellite data and agrometeorological indices over major rice growing tracts of Palakkad district in Kerala. Normalized Difference Vegetation Index (NDVI) product of MODIS (MOD13Q1) with a temporal resolution of 16 days and a spatial resolution of 250 m was utilized to establish a relationship with crop coefficient (Kc) of rice during the Mundakan rice season (September-October to December-January) of 2020-21 and 2021-22 in 30 ground truth locations. The results revealed that NDVI values have strong relationship with Kc values with an R2 value of 0.82. Crop coefficient (Kc) maps developed using satellite derived NDVI provided Kc values at a regional scale during different stages of crop growth and it helped to estimate crop evapotranspiration with greater accuracy. Based on this crop water demands maps depicting the spatial and temporal distribution of irrigation requirement were generated for the whole study area. These maps can be used as a tool for the estimation of the crop water requirement of a rice field if the geographical coordinates of the location are known. The total crop water requirements estimated during Mundakan season 2020-21 and 2021-22 in Palakkad district were in the range of 611-976 mm and 560-897 mm respectively. Integration of remote sensing & agrometeorological techniques has scope for regional-scale crop water requirement estimation in a cost-effective and time-bound manner. [ABSTRACT FROM AUTHOR]
Published: 2023
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38. Role of Early Fasciotomy and Skin Cover in the Management of Acute Electrical Burns of the Upper Limbs - A Prospective Case Series.

Author: Madala, Rajasekhar, A., Subodh Kumar, Chikte, Baliram, E., Mahender, and S., Anitha
Subjects: ELECTRICAL burns, ELECTRICAL injuries, FASCIOTOMY, PLASTIC surgery, HIGH voltages, MEDICAL schools
Abstract: Background: Electrical burn injuries are still amongst the highest accident-related morbidities. Aim: To assess the demographic profile as well as to study outcomes of early fasciotomy in salvage acute electrical burns involving upper limbs. Materials and Methods: The present study was a prospective case series study conducted in Department of Plastic and Reconstructive Surgery at Gandhi Medical College and Hospital, Secunderabad, from January 2020 to January 2022. Total 20 study subjects were evaluated. Electrical burn injury was assessed at the time of admission. Data was analyzed by using coGuide software, V.1.01. Results: In the study population, 55% belonged to age group of 30 years. Male predominance with 75% compared to female. Accidents 40% were major cause of injury. In majority, 65% of the cases fasciotomies were done within 48 hrs of electrical burn injuries. Conclusion: The results of the study concluded that younger generation is more prone to electrical burn injuries and males were majorly affected. Unsafe work areas and accidents are main reasons for injuries. High voltage affected the study population compared to low voltage. Amputations were required in fingers and below elbow. Early fasciotomy, repeated debridement's, definitive skin cover (SSG/flap) have helped in reducing the morbidity and improving the quality of life of the patient. [ABSTRACT FROM AUTHOR]
Published: 2023

39. Assessing Emotional Intelligence: Academic Performance & Overall Personality Development

Author: Devi, S. Anitha
Published: 2012

40. The Impact of Participative Decision-Making on Organizational Commitment: A Study among Employees of Mobile Telecom Companies in Yemen

Author: S Anitha and Salah Sanad
Subjects: business.industry, media_common.quotation_subject, Regression analysis, Organizational commitment, Participative decision-making, Originality, Linear regression, Capital city, Positive relationship, Participative Decision Making, Employee participation, Organizational Commitment, Telecom Companies, Yemen. [Keywords], Psychology, Telecommunications, business, Practical implications, media_common
Abstract: Purpose: The study aimed at examining the relationship between participative decision-making and organizational commitment among employees working in mobile telecom companies in Yemen. Approach/Methodology/Design: This study is descriptive-analytical. The study population comprised the employees working at the four mobile telecom companies in Sana'a, Yemen's capital city (Yemen Mobile, Sabafon, MTN and Y-Telecom). One hundred twenty questionnaires were collected and were valid for the data analysis. Different statistical tools, including regression analysis and correlation coefficients, were applied, and data were analyzed using SPSS. Findings: The regression analysis output shows a significant positive relationship between participative decision-making and affective commitment (β = 0.48, p < 0.001). Furthermore, the regression analysis shows a significant positive relationship between participative decision making and continuance commitment (β = 0.59, p < 0.001). In addition, the significance of regression analysis tested using the regression coefficients shows a significant positive relationship between participative decision-making and normative commitment (β = 0.72, p < 0.001). Practical Implications: The study recommends that the companies managers need to motivate and inspire their employees to actively participate in the decision-making process to enhance their level of organizational commitment. Originality/value: The study presents evidence from a new setting where insufficient analysis has been performed to investigate the direct relationship between the variables tested.
Published: 2021

41. Blockchain based Privacy Preserving Student's Certificate Storage, Distribution and Verification.

Author: Shaji, Athulya C. and V. S., Anitha
Subjects: CLOUD storage, SUPPLY chains, PRIVACY, BLOCKCHAINS, STORAGE, PUBLIC key cryptography, TRUST
Abstract: The blockchain is a chain of blocks with each block header containing a hash of its preceding block. Blockchain technology transforms the existing centralized system, trusting the third party, into a decentralized system that can exchange or store information within a trustless environment while preserving privacy and security. The transactions and data stored in the blockchain are not pursuant to the control of any mediator. The technology is now widely used in medical records, education, supply chain, and IoT. The paper implements a prototype model of a decentralized application for an education record verification and sharing system. In the current education system, institutions manage their data on a centralized server. Students are handed over a certificate as a hard copy at the end of the course. In this scenario, corroborating the authentication of a hard copy is very difficult because counterfeiting the original certificate is effortless. In this paper, we introduce a blockchain-based proposal to substantiate the authenticity of transcripts and share them. Blockchain-based applications can hasten the transcript corroboration and sharing process by transforming the centralized approach into a decentralized one. The users of the blockchain-based system get lifelong authorized access to their transcripts and can share them with other institutes or organizations. We use IPFS blockchain-based decentralized cloud for storage, it can minimize the cost up to 86% and proxy re-encryption provide secure exchange without compromising the complexity. [ABSTRACT FROM AUTHOR]
Published: 2023

42. Effectiveness of three chemical solutions on gutta-percha cones by rapid sterilization technique: A scanning electron microscope study

Author: T Muralidhar, Muppala Nikhitha Chowdary, S Anitha Rao, and CS Soonu
Subjects: Scanning electron microscope, Root canal, gutta-percha, Chloride, Aloe vera, chemistry.chemical_compound, Immunology and Microbiology (miscellaneous), medicine, hermetic seal, Dentistry (miscellaneous), biology, Chloride crystal, Sterilization (microbiology), Gutta-percha, surface topography, biology.organism_classification, lcsh:RK1-715, medicine.anatomical_structure, chemistry, Sodium hypochlorite, lcsh:Dentistry, Glutaraldehyde, Oral Surgery, Anatomy, Biomedical engineering, medicine.drug
Abstract: Objectives: It is prudent to produce most sterile root canal system and to maximize the most hermetical seal so gutta percha cones are used gutta-percha (GP) cones are used to obliterate the root canal space, prevention of contamination becomes a problem. Hence, the aim of this study was to identify the presence of surface topography, crystallization, and subsequent removal of sodium hypochlorite, glutaraldehyde, and aloe vera crystals on GP cones after rapid sterilization technique – this was a scanning electron microscope (SEM) study. Materials and Methods: GP points of size 80 and 2% taper were divided into four groups depending on the type of agents used for sterilization. Four groups were as follows: Group 1 – control group, Group 2 – aloe vera, Group 3 – glutaraldehyde, and Group 4 – NaOCL. About 10 GP points of each group were immersed for 2 min in different concentrations and observed under SEM to evaluate surface topography and presence of chloride crystals. Statistical analysis was carried out using Chi-square test, Kruskal–Wallis test and Mann–Whitney U-test to compare the results between the groups. All the data were expressed as mean ± standard deviation, and the difference of P < 0.05 or more was considered significant. Results: Aloe vera found to be an effective medium in decontaminating GP cones compared to glutaraldehyde and NaOCL (sodium hypochlorite). Conclusion: The use of sterile GP cones for the obliteration of root canals is of prime importance, and aloe vera group shows no changes in surface topography and the presence of chloride crystal formation compared to the control group. Hence, it is prudent to produce the most sterile root canal system, maximizing most hermetical seal possible.
Published: 2019

43. Biosynthesis of Silver Nanoparticles Using Azadirachta indica and Their Antioxidant and Anticancer Effects in Cell Lines.

Author: Kumari, S. Anitha, Patlolla, Anita K., and Madhusudhanachary, P.
Subjects: SILVER nanoparticles, NEEM, CELL lines, ANTINEOPLASTIC agents, TRANSMISSION electron microscopes, HELA cells, CISPLATIN
Abstract: In the present study, silver nanoparticles (Ag-NPs) were synthesized using Azadirachta indica extract and evaluated for their in vitro antioxidant activity and cytotoxicity efficacy against MCF-7 and HeLa cells. The silver nanoparticles (Ag-NPs) were formed within 40 min and after preliminary confirmation by UV-visible spectroscopy (peak observed at 375 nm), they were characterized using a transmission electron microscope (TEM) and dynamic light scattering (DLS). The TEM images showed the spherical shape of the biosynthesized Ag-NPs with particle sizes in the range of 10 to 60 nm, and compositional analysis was carried out. The cytotoxicity and antioxidant activity of various concentrations of biosynthesized silver nanoparticles, Azadirachta indica extract, and a standard ranging from 0.2 to 1.0 mg/mL were evaluated. The 2,2-Diphenyl-1-picrylhydrazyl (DPPH) activity of the biosynthesized Ag-NPs and aqueous leaf extract increased in a dose-dependent manner, with average IC50 values of the biosynthesized Ag-NPs, aqueous leaf extract, and ascorbic acid (standard) of 0.70 ± 0.07, 1.63 ± 0.09, and 0.25 ± 0.09 mg/mL, respectively. Furthermore, higher cytotoxicity was exhibited in both the MCF-7 and HeLa cell lines in a dose-dependent manner. The average IC50 values of the biosynthesized Ag-NPs, aqueous leaf extract, and cisplatin (standard) were 0.90 ± 0.07, 1.85 ± 0.01, and 0.56 ± 0.08 mg/mL, respectively, with MCF-7 cell lines and 0.85 ± 0.01, 1.76 ± 0.08, 0.45 ± 0.10 mg/mL, respectively, with HeLa cell lines. Hence, this study resulted in an efficient green reductant for producing silver nanoparticles that possess cytotoxicity and antioxidant activity against MCF-7 and HeLa cells. [ABSTRACT FROM AUTHOR]
Published: 2022
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44. Influence of smoking on autonomic functions in light and heavy smokers measured by heart rate variability.

Author: G., Sanjaya, Taklikar, Raju H., Gitte, Rashmi Narayanrao, and K. S., Anitha
Subjects: HEART beat, SMOKING, ATRIAL arrhythmias
Published: 2022
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45. IN VITRO MICROPROPAGATION OF ENDEMIC TAXON CURCUMA KARNATAKENSIS AND STUDY OF ITS ANTIBACTERIAL ACTIVITY.

Author: S., Ravikiran, a, Sujani K., S., Anitha, and N., Manjunath
Subjects: ANTIBACTERIAL agents, BUTYRIC acid, CURCUMA, BIOLOGICAL extinction, ACETIC acid, NAPHTHALENE
Abstract: Micropropagation is the true-to-type propagation of a selected genotype using in vitro culture techniques. Curcuma karnatakensis is a small herb endemic to Karnataka and belongs to the Zingiberaceae family. C. karnatakensis, with its small distribution area in Karnataka, is prone to any kind of threat that could lead to species extinction, hence tissue culture technique is proposed as a conservation measure for rapid propagation and ex situ conservation. An attempt was made to grow C. karnatakensis on MS culture with different growth regulators like benzyl adenine, kinetin, indole butyric acid and naphthalene acetic acid at different concentrations (1,2,3,4,5 μg mL-1) and (0.5,1,1.5 µg mL-1) and in different proportion using rhizome sprouts as ex- plant. The best result was obtained in benzyl adenine and indole butyric acid at ratio 4:1 and in kinetin and indole butyric acid at ratio 3:1. The secondary metabolites and antimicrobial activity from micro propagated plant was compared with naturally grown plant. [ABSTRACT FROM AUTHOR]
Published: 2022
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46. More Crop per Drop : A Myth of Groundwater Irrigation

Author: S, Anitha and Chandrakanth, M. G.
Subjects: ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Environmental Economics and Policy, InformationSystems_MISCELLANEOUS
Abstract: Session ID 4840, Paper# 19117
Published: 2021
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47. Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study

Author: Dmitri, Nepogodiev, Joana Ff Simoes, Elizabeth, Li, Maria, Picciochi, James, C Glasbey, Glauco, Baiocchi, Ruth, Blanco-Colino, Daoud, Chaudhry, Ehab, Alameer, Kariem, El-Boghdadly, Funmilola, Wuraola, Dhruva, Ghosh, Rohan, R Gujjuri, Ewen, M Harrison, Herman, Lule, Haytham, Kaafarani, Mohammad, Khosravi, Irmgard, Kronberger, Sezai, Leventoğlu, Harvinder, Mann, Kenneth, A Mclean, Mengistu Gebreyohanes Mengesha, Maria Marta Modolo, Faustin, Ntirenganya, Lisa, Norman, Oumaima, Outani, Riinu, Pius, Peter, Pockney, Ahmad Uzair Qureshi, April Camilla Roslani, Sohei, Satoi, Catherine, Shaw, Aneel, Bhangu, Omar, M Omar, Waheed-Ul-Rahman, Ahmed, Leah, Argus, Alasdair, Ball, Edward, P Bywater, Amanpreet, Brar, Brett, E Dawson, Irani, Duran, Muhammed, Elhadi, Conor, S Jones, Sivesh, K Kamarajah, James, M Keatley, Samuel, Lawday, Ella, J Marson, Riinu, Ots, Irène, Santos, Elliott, H Taylor, Isobel, M Trout, Chris, Varghese, Mary, L Venn, William, Xu, Irida, Dajti, Arben, Gjata, Salah Eddine Oussama Kacimi, Luis, Boccalatte, Daniel, Cox, Philip, Townend, Felix, Aigner, Irmgard Elisabeth Kronberger, Elgun, Samadov, Amer, Alderazi, Kamral, Hossain, Greg, Padmore, Gabrielle van Ramshorst, Ismaïl, Lawani, Anis, Cerovac, Samir, Delibegovic, Gustavo Mendonça Ataíde Gomes, Igor Lima Buarque, Muhammad, Gohar, Mihail, Slavchev, Chukwuemeka, Nwegbu, Arnav, Agarwal, Janet, Martin, Joshua, Ng-Kamstra, Maricarmen, Olivos, Wenhui, Lou, Dong-Lin, Ren, Jose Andres Calvache, Carlos, J Perez Rivera, Ana Danic Hadzibegovic, Tomislav, Kopjar, Jakov, Mihanovic, Pablo Mijahil Avilés Jiménez, Nikolaos, Gouvas, Jaroslav, Klat, René, Novysedlák, Nicolas, Amisi, Peter, Christensen, Alaa, El-Hussuna, Sylvia, Batista, Eddy, Lincango-Naranjo, Sameh, Emile, Danilo Alfonso Arévalo Sandoval, Hailu, Dhufera, Samuel, Hailu, Mengistu, G Mengesha, Joonas, H Kauppila, Alexis, P Arnaud, Zaza, Demetrashvili, Markus, Albertsmeier, Hans, Lederhuber, Markus, W Löffler, Daniel Kwesi Acquah, Bernard, Ofori, Stephen, Tabiri, Symeon, Metallidis, Georgios, Tsoulfas, Maria-Lorena, Aguilera-Arevalo, Gustavo, Recinos, Tamás, Mersich, Dániel, Wettstein, Gabriele, Kembuan, Peiman Brouki Milan, Mohammad Hossein Khosravi, Masoud, Mozafari, Ahmed, Hilmi, Helen, Mohan, Oded, Zmora, Gaetano, Gallo, Francesco, Pata, Gianluca, Pellino, Yuki, Fujimoto, Naoto, Kuroda, Mohamad, K Abou Chaar, Faris, Ayasra, Ildar, Fakhradiyev, Intisar Hisham Said Hamdun, Jang, Jin-Young, Mohammad, Jamal, Lina, Karout, Aiste, Gulla, Fanjandrainy, Rasoaherinomenjanahary, Luc Hervé Samison, Iran Irani Durán Sánchez, Diana Samantha Gonzalez, Laura, Martinez, María José Martínez, Alejandra, Nayen, Antonio Ramos-De la Medina, Jade, Nunez, Pueya Rashid Nashidengo, Rakesh, Shah, Ashish Lal Shrestha, Pascal, Jonker, Schelto, Kruijff, Milou, Noltes, Pieter, Steinkamp, Deborah, Wright, Lukman, Abdur-Rahman, Adesoji, Ademuyiwa, Adewale, Adisa, Babatunde, Osinaike, Justina, Seyi-Olajide, Omolara, Williams, Emmanuel, Williams, Sofija, Pejkova, Zainab Al Balushi, Raza, Sayyed, Mustafa Abo Mohsen, Sadi, A Abukhalaf, Moises, Cukier, Hugo, Gomez-Fernandez, Sebastian Shu Yip, Ximena Paola Vasquez Ojeda, Marie Dione Sacdalan, Piotr, Major, José, Azevedo, Miguel, F Cunha, Ahmad, Zarour, Eduard-Alexandru, Bonci, Ionut, Negoi, Sergey, Efetov, Viktor, Kochetkov, Andrey, Litvin, Jc Allen Ingabire, Georges, Bucyibaruta, Ntirenganya, Faustin, Sosthene, Habumuremyi, Alphonsine, Imanishimwe, Haragirimana Jean de Dieu, Emmanuel, Munyaneza, Isaie, Ncogoza, Abdourahmane, Ndong, Dejan, Radenkovic, Min Hoe Chew, Frederick, Koh, James, Ngu, Arpád, Panyko, Uros, Bele, Jurij Aleš Košir, Hassan, Daoud, Ana Maria Minaya Bravo, Umesh, Jayarajah, Dakshitha, Wickramasinghe, Mohammed Elmujtba Adam Essa Adam, Martin, Rutegård, Malin, Sund, Michel, Adamina, Eleftherios, Gialamas, Karoline, Horisberger, Muhammad, Alshaar, Abel, Huang, Varut, Lohsiriwat, Shane, Charles, Haithem, Jlassi, Arda, Isik, Hervé Monka Lekuya, Slava, Kopetskyi, Hayder, Alsaadi, Sattar, Alshryda, Osaid, Alser, Brittany, Bankhead-Kendall, Kerry, Breen, Hassan, Mashbari, Fernando Bonilla Cal, Hamza, Al-Naggar, Mayaba, Maimbo, Dennis, Mazingi, Tom, Abbott, Melika, Akhbari, Ruth, Benson, Shivam, Bhanderi, Bruce, Biccard, Edward, Caruana, Sohini, Chakrabortee, Reema, Chapatwala, Ainhoa, Costas-Chavarri, Andreas, K Demetriades, Anant, Desai, Salomone Di Saverio, Thomas, Drake, John, Edwards, Jonathan, Evans, Marco, Fiore, Samuel, Ford, Christina, Fotopoulou, Alexander, Fowler, Kaori, Futaba, Ian, Ganly, Harelimana Grace James, Ewen, Griffiths, Alessandro, Gronchi, Peter, Hutchinson, Gabriella Yael Hyman, Joseph, Incorvia, Ritu, Jain, Michael, Jenkinson, Tabassum, Khan, Stephen Richard Knight, Angelos, Kolias, Søren, Kudsk-Iversen, Tsun Yu Kwan, Elaine, Leung, Julio, Mayol, Siobhan, Mckay, John, G Meara, Emily, Mills, Susan, Moug, Akshay, Patel, Roberto, Perinotti, Henry, E Rice, Keith, Roberts, Andrew, Schache, Richard, Shaw, Neil, Smart, Matthew, Stephens, Grant, D Stewart, Ella, Teasdale, Peter, Vaughan-Shaw, Raghavan, Vidya, Naomi, Wright, Natalie, Zimmelman, Ervis, Agastra, Dariel, Thereska, Sergio Martin Lucchini, Veronica, Laudani, Carina, Chwat, Ivana Ines Pedraza Salazar, Diana Alejandra Pantoja Pachajoa, Agustin, Duro, José Alfredo Calderón Arancibia, Giuliana, D'Aulerio, Nagendra, Dudi-Venkata, Natasha, Egoroff, Shebani, Farik, Natalie, Lott, Jana-Lee, Moss, Sarah, Rennie, Lorwai, Tan, Uyen Giao Vo, David, Watson, David, Watters, Tim, Bright, Paul, Hollington, Xuanyu, Zhou, Hidde, M Kroon, Anthony, Farfus, John, Barker, Eleanor, Watson, Sean, Stevens, Haider, Latif, Amanda Caroline Dawson, Alwin, Chuan, Vijayaragavan, Muralidharan, Enoch, Wong, Travis, Ackermann, Maurizio, Pacilli, Russell, Hodgson, Alexander, Heriot, Peter, Choong, Wendy, Brown, Surjit, Lidder, Justin, Yeung, Luke, Traeger, Guillermo, Regalo, Ralph, Gourlay, Sarit, Badiani, Cherry, Koh, Soni, Putnis, Fayza, Haider, Ashrarur Rahman Mitul, Niels, Komen, Bert, 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Philemon, Leung, Andrew, Lindberg, Juan Mata Gutierrez, Kelly, Mayson, Adam, Meneghetti, Drew, Phillips, John, Street, Carolina Carvajal Calderón, Daniel Alejandro Donoso Pizarro, Esteban, Fernández, Ángela, Molero, Nastassja, Mutarello, Jorge Núñez Lucic, Katherine Ochoa Gaete, Catalina Ruiz Lopez, Rina, Sepúlveda, Camila, Ulloa, Mauricio, Barreda, Matias, Dallaserra, Matías Günther Wood, Mauricio Sandoval Tobar, Francisco, Garcia-Huidobro, Jimena, Dona, Carolina Soto Diez, Daniel, Igor, Javier, Mena, José Tomás Reyes, Catalina Arredondo Soto, Jose, Campos, Javier, Gonzalez, Barbara, Rivera, Jaime, Altamirano-Villarroel, David, Cohn, Luis Marin de Amesti, Pedro, Recabal, Camilo, Sandoval, Bruno Catoia Fonseca, Monica, Contador, Andres, Hodali, Camila, Pincheira, Andrea Ramos Mantilla, Claudio Salas Garrido, Janina, Torres, Marco, Valenzuela, Zehua, Chen, Jiankun, Hu, Jin, Tao, Kun, Yang, Yuexin, Zhang, Yuan, Chen, Wang, Cunchuan, Wah, Yang, Xueli, Bai, Tingbo, Liang, Tao, Ma, Ning, Pu, Hanlin, Yin, Camilo, Caicedo, Diego Felipe Tellez Beltran, Alejandro, Escobar, Carolina Perez Granados, Lisbeth Alexandra Urueña Pinzon, Carlos, Bonilla, Diana, Santana, Oscar, Serrano, Andrea, Garcia, Fernando Giron Luque, Nasly, G Patino-Jaramillo, Laura Giselle Contreras Baquero, Nestor Augusto Muñoz Botero, Jhoana Andrea Murillo Castellanos, Andrea Juliana Vega Calvera, Lina, M Acosta Buitrago, Maria Paz Bohórquez-Tarazona, Paulo Andrés Cabrera Rivera, J Felipe Casas, Valeria Cormane Alfaro, Julian, Corso, Bayron, Guerra, Albert Franz Guerrero-Becerra, Akram Kadamani Abiyomaa, Felix Ramon Montes, Manuel Santiago Mosquera Paz, Camilo Andrés Polanía Sandoval, Natalia, Quintana, Carlos Fernando Roman Ortega, Carlos, Santacruz, Manuela, Téllez, Camilo Alejandro Velandia Sánchez, Fernando, Arias-Amézquita, Luis Felipe Cabrera Vargas, Natalia Cortes Murgueitio, Elkin, Escorcia, Kemel Ahmed Ghotme Ghotme, Jorge Luis Gomez-Mayorga, Alvaro Felipe Guerrero Vergel, Gabriel, Herrera-Almario, Eduardo, Londono-Schimmer, Juan, A Mejia, Guillermo, Monsalve, Camilo, Rodriguez, Juan Nicolas Rodriguez Niño, Luis Martín Rodríguez Ortegón, Daniel, Sanabria, Andres, Alvarez, Arnulfo, Andrade, Javier, Ardila-Montealegre, David, Baquero, Edgar Mauricio Barrios Vidales, María Alejandra Caicedo Giraldo, María Camila Carvajal, Maria, Castillo, Maria Carolina Castillo Florez, María Angelica Cendales, Danny Conde Monroy, Henry, Cortes, Mario, Daniel, Jairo De la Peña, Elena Leonor Delgado-Nieto, Hernando, Espitia, Carlos Figueroa Avendaño, Edgar Oswaldo Hernandez Burgos, Andres, Isaza-Restrepo, German, Londono, Margarita Maria Maldonado, Andrea, Montenegro, Juan Carlos Navarro, Jorge, Navarro-Alean, Katherine Parra Abaunza, Eliana, Pulido, Erika, M Ramírez Amaya, Carlos Eduardo Rey Chaves, Natalia Andrea Rivera Rincón, William Mauricio Riveros Castillo, Lizeth Rodriguez Sanchez, Wilson, Rubiano, Maria, Russi, Juan Carlos Sabogal Olarte, Javier Mauricio Salgado Tovar, Maria Juliana Sanchez, David Mauricio Solano Varela, Paula Torres Gomez, Marcial, Trillos, Ana María Vargas Patiño, Felipe, Vargas-Barato, Juan Pablo Villate Leon, María Alejandra Wagner Useche, Jesus, Acosta, Adriana, Almeciga, Luis Becerra Mendez, Rafael Jose Beltran, Ana, Bonilla, Miguel, Buitrago, Marino, Cabrera, Pedro Hernando Calderon Quiroz, Diego, Camacho-Nieto, Carlos Andrés Carvajal Fierro, Sergio Cervera Bonilla, Sandra, Diaz, Helena, Facundo, Jorge, Forero, Mauricio Garcia Mora, Karena Victoria Garcia Tirado, German Fabian Godoy Perez, Felipe, Gonzalez, Oscar, Guevara, Jairo Alonso Hernandez, David Ricardo Herrera Mora, Juan David Lalinde, Carlos, Lehmann, Eduardo Leon Llanos, Byron Eduardo Lopez De Mesa Lopez, Ivan, Mariño, Monica, Medina, Raúl Eduardo Pinilla Morales, Angela, Puerto, Andrea, Quintero-Ortíz, Juliana Rendón Hernández, Elio Fabio Sánchez Cortés, Alvaro Eduardo Sánchez Hernández, Raul, Suarez, Oscar, Suescun, Marco, Vanegas, Rodolfo, Varela, Jorge Luis Velez Bernal, David, Viveros-Carreño, Daniela Camargo Gómez, Angelica, Fletcher, Abel, Merchan, Euler Javier Burbano Luna, Indira, Cujiño, Mauricio Velasquez Galvis, Lina Maria Vergara Galliadi, Orlando Abonia Gonzalez Abonia Gonzalez, Maria Fernanda Acuna Saravia, Roberto, Arroyave, Jose Maria Barreto Angulo, Francisco Javier Bonilla-Escobar, Uriel, Cardona, Ivan Castañeda Giacometto, José Luis Castillo, Diego Fernando Castillo-Cobaleda, Diego Jose Caycedo Garcia, Brenda Marcela Coll Tello, Juan Carlos Dueñas-Ramirez, Oscar Andres Escobar Vidarte, Luis, Figueroa, Herney, Garcia-Perdomo, Alden, Gomez, Laura, Gomez, Alejandro, Gomez, Ana María Grande-Gil, David, Guarin, Natalia, Guzman, Enrique Herrera Castañeda, Marisol, Hinaoui, Anuar Armando Idrobo Escobar, Christian Kammerer Kammerer, Sergio, Leon, Carlos Antonio Llanos Lucero, Angie, López, Alexander Maximiliano Martinez-Blanco, Antonio José Montoya Casella, Ricardo Andres Niño Corredor, Sebastian, Ordoñez, Diego Alfredo Palta Uribe, Andrea Carolina Perea Serna, July, Ríos, Gabriel, Ríos-Samper, Juan David Rivera Garcia, Juan Camilo Salcedo Moreno, John, Sandoval, Guillermo Alberto Sarmiento Ramirez, Paola Andrea Tabares Romero, Ricardo, Urzola, Iliana Maria Valdes-Duque, Miguel, Velasquez, Lina Maria Villegas, James, Zapata-Copete, José Omar Zorrilla Lara, Mauricio Zuluaga Zuluaga, Alejandra Echeverri Moreno, Juan Sebastian Figueroa, Adolfo Enrique Gómez Ortiz, Maria Fernanda Gonzalez Mosos, Alejandro, González-Orozco, Juan Jose Jaramillo Roncancio, María Camila Leyva Martínez, Monica, Mosos, Juan Sebastian Ramirez, Henry Andrés Rodríguez, Juan David Saavedra Henao, María Alejandra Torrado Varón, Leidy Natalia Idarraga Ramírez, Lorena, Ocampo, Monica Cardona Marin, Ana Maria Marin Gonzalez, David Alejandro Mejia, Luis Emiro Vanegas, Yicel Alvarez Martinez, Sandra Aruachan Vesga, Dayana Vanessa Baron Fuentes, Alejandra Caballero Salas, Gustavo Antonio Martinez Estrada, Kelly Viloria Campo, Juan Antonio Corralez Alvarez, Cesar David Galindo Regino, Angela Maria Giraldo Velasquez, Carlos Enrique Melo Moreno, Jorman, H Tejada, Jesus Hernan Tovar, German Alirio Tovar, Edison Alexander Benavides Hernández, Claudia Milena Orozco-Chamorro, Gustavo Adolfo Angel, Christian Ali Buesaquillo, Victor David Olave Montaño, Andrés, Sánchez-Gómez, Daniela Patricia Escalante Ureche, Jairo Martinez Garrido, Eben-Ezer, Genda, Fabrice, Eboma, Kristina, Bitunjac, Karlo, Grulović, Marijana, Vučković, Goran, Šantak, Emanuel, Borovic, Ana Bosak Versic, Damir, Hasandić, Natasa Poldan Grabar, Suzana Srsen Medancic, Lucija, Brkic, Sara, Cokarić, Petra Pavic Palac, Zeljka, Samac, Josipa, Tomić, Marija, Vrdoljak, Ivan, Bacic, Bernarda, Bakmaz, Nikolina Bratošević Vučičić, Domagoj, Brzic, Samir, Canovic, Emilio, Dijan, Maja Grgec Dragicevic, Robert, Karlo, Suzana, Konjevoda, Petra, Kovačević, Ivan, Kovačić, Frane, Markulić, Luka, Matak, Domagoj, Morović, Gordan, Perišić, Andrea, Simic, Neven, Skitarelić, Matea, Veršić, Vanja, Žufić, Matea, Zuzul, Srdan Ante Anzic, Iva, Carevic, Dubravka Heli Litvic, Duska, Markov-Glavas, Tatjana Savic Jovanovic, Goran, Augustin, Jerko, Biloš, Bojan, Biočina, Vedrana, Biosic, Dino, Bobovec, Iva, Botica, Boris, Bumber, Petra, Čerina, Katarina Duric Vukovic, Hrvoje, Gasparovic, Lucija, Gatin, Kresimir, Grsic, Ika Gugić Radojković, Ivan, Jelčić, Zeljko, Kastelan, Juraj, Kolak, Tomislav, Kulis, Kristian, Kunjko, Marjan, Maric, Marcel Marjanović Kavanagh, Borna, Milicic, Trpimir, Morić, Miram, Pasini, Luka, Penezić, Drago, Prgomet, Ratko, Prstacic, Andreja, Prtorić, Rudolf, Radojković, Ivan, Romić, Tomislav, Sečan, Dora Škrljak Šoša, Juraj, Slipac, Mislav, Tomic, Jurica, Zedelj, Toni, Zekulić, Zoran, Zimak, Mia, Lorencin, Ivica, Luksic, Matija, Mamic, Norberto Miranda Espinsa, Ailén Sánchez Cruz, Stavros, A Antoniou, Michael, Kakas, Yiannis, Panayiotou, Heyam, Almezghwi, Kalbim, Arslan, Hasan, Besim, Ali, Özant, Necdet, Özçay, Georgios, Kokkinos, Panayiotis, Papatheodorou, Ioanna, Pozotou, Olga, Stavrinidou, Anneza, Yiallourou, Lukáš, Burda, Michal, Dosoudil, Lubomir, Martinek, Wladyslaw, B Gawel, Milan, Lerch, Matúš, Peteja, Jan, Žatecký, Toman, Daniel, Martin, Formánek, Veronika, Javurkova, Markéta, Kepičová, Nicole, Macečková, Petr, Matousek, Ondrej, Simetka, Petr, Vavra, Karol, Zelenik, Jan, Černý, Sami, Khan, Robert, Lischke, Martin, Přibyl, Temoore, Younus, Yenuksha, Amarasena, Karel, Klíma, Setareh, Pirmorad, Zuzana, Hotová, Aleš, Mladěnka, Nulvin, Bozo, Julie Lykke Harbjerg, Louise, Hviid, Helle, Ø Kristensen, Mira, Mekhael, Mette Fugleberg Nielsen, Laerke, Paulsen, Saija, Sinimäki, Louise Zinck Mogensen, Peter, Bonde, Anders Lyng Ebbehøj, Anne-Sophie, Fenger, Aleksander Fjeld Haugstvedt, Christine Hangaard Hansen, Maria Lovisa Jönsson, Lars, N Jorgensen, Peter-Martin, Krarup, Anne-Louise, Lihn, Christian, Meyhoff, Helena, Otte, Anas Ould Si Amar, Henrik, Palm, Nis, Schlesinger, Henry, Smith, Ida, Tryggedsson, Anne Reiss Axelsen, Jens Kristian Baelum, Mark Bremholm Ellebaek, Signe Bremholm Ellebaek, Anders, Hogh, Maria, Acosta, Yancy, Acosta, Pedro, Baez, Luis Alfredo Betances, Luis Rodolfo Bonilla, Daniel, Cabreja, Wilton Cabrera Cruz, María Mabel Collado Expósito, Aldo, Crespo, Octavio, Cruz-Pineda, Claudio Samuel D'óleo García, Pedro, Díaz, Remberto, Escoto, Jatnna, Figueroa, Luis, Garcia, U Garcia-Dubus Rodriguez, Humberto, Gomez, Adrian, Grullon, Fatherin, Guerrero, Lillian, Guzman, Thelma Rocío Jiménez Mosquea, Engels, Lazala, Ariela, Lopez, Leeany Maletta Francisco, Jhomayri, Mercado, Herisardy, Munoz, Jeffrey, Paulino, Maricely Ambar Perez Fernandez, Rudeily, Reyes, Lilia Rosa Reyes Guilamo, Ruben, Rivas, Claudia Alejandra Rivas Torres, Ada, Rodríguez, Madelin Tamar Rosario Villa, Eleazar, Santana, Joel, Soto, Nassin, Tactuk, Cristina Kristel Tonos Sardiñas, Raul, Ubinas, Jose, Victoria, Aaron, Villegas, Ricardo, Acra-Tolari, Larissa, Beltran, Luis Fernand Betances, Alejandro, Blaubach, Denisse Idalia Campos Mejía, Nathalia, Capellan, María Fernanda Cedeño Bruzual, Saray Cordero Spencer, Gabriella Cuevas Lantigua, Luis De Jesus, Gabriela, Díaz, Pedro Pablo Díaz Vásquez, Karla, Disla, Jesús Antonio Echavarría Uceta, Paola Irina Eusebio Jimenez, Damaris, Fernandez, Marlin Fernandez Camilo, Jiomar Manuel Figueroa Germosen, Maruel, Fortunato, Leyla Gabriel Fernández, Alicia German Dihmes, Héctor, Herrera, Elizabeth Leon Cuevas, Jose Alejandro Mata, Mirian Mateo De La Cruz, Dolores Mejia De la Cruz, Marcos, Mirambeaux, Fabio Ortiz De La Cruz, Henry, Paulino, Gabriela, Pelletier, Merycarla, Pichardo, Rodriguez Pumarol Próspero Enrique, Julio, Rivas, Ann Stephany Sanchez Marmolejos, Roman Santana Santana, Irina Suero Almanzar, María Magdalena Vásquez Sánchez, Nicolás, Campuzano, José Ricardo Negrete Ocampo, Maria, Armas, Alvaro Santiago LeMarie Guerra, Gustavo León Vizcaya, Omar Ahmed Abdelwahab, Ahmed, O Elmehrath, Mohammed Ezzat Mostafa, Gamal, Amira, Ibrahim, Sallam, Mohamed, Sherief, Ahmed, Abdelmajeed, Mostafa, Abdou, Ahmed Abo Shanab, Aya, Abodeeb, Roger, Aboelkhel, Nour Eldin Abosamak, Amna Abou Bakr, Samar, Aboubakr, Yossof, Abouelnagah, Omar, Aboumadawy, Dina, Adel, Nermeen, Afifi, Sara, Ahmed, Abedelrahman, Ahmed, Mohamed Al Sayed, Abdelrahman, Alberkamy, Mohamed, Aldahma, Ahmed, Ali, Mostafa, Ali, Mohamed Amin Bakr, Alaa, Anter, Doaa, Asal, Fouad, Ashoush, Olfat, Ashraf, Abdel Rahman Ashraf, Rewan, Atta, Salma, Badr, Mohamed, Bahaaeldin, Mostafa, Bastawesy, Sara, Darwish, Rasha El Kharashy, Ziad, Elassar, Seifeldin, Elbadawy, Dina, Elkhity, Alromisaa, Elsaka, Manal, Elsayed, Mostafa Elsayed Elsayed Hewalla, Mohamed, Elshafey, Youssof, Eshac, Fares, Eshac, Amr, Essameldin, Moataz, Ewedah, Yara, Ezz, Mohamed, Farag, Inas, Gadelkarim, Ziyad, Gadelrab, Dina, Gamal, Mira, Ghaly, Nathalie, Girgis, Omar, Gouda, Nancy, H El Goweini, Nour, Hafez, Youssef, Hafez, Abdelkader Hamed Abdin, Rodina, Hanno, Aliaa, Hassanin, Mohamed, Hassanin, Hanan, M Hemead, Abdelrahman, Hemida, Maher, Hosain, Ahmed, Hossam, Hamza Hussein Aly Salama Aly, Mohamed, Ibrahim, Abdelrahman, Ibrahim, Nourhan, Ibrahim, Noha Mohamed Salah Ibrahim Moussa Hamouda, Monica, Iskander, Islam, Khalifa, Mostafa, Kotb, Nada, Mahmoud, Alaa Mahmoud Abo Shabana, Nora, Mamdouh, Maram, Metwalli, Khaled, Metwally, Mahmoud, Moghazy, Moustafa, Mohamed, Mohamed, Mourad, Esraa, Moustafa, Kamilia, Mubarek, Nour Eldin Nader, Ahmed, Nasser, Samaa, Omar, Mostafa Shehata Qatora, Mohamed, Ragab, Marawan, Ragal, Dina, Ramadan, Rana, Ramadan, Sara, Ramadan, John, Romany, Ahmed, Sabry, Yasmeen, Said, Sara, Salamah, Ahmed Mostafa Saleh, Mona Saleh Mesbah Mohamed Elkaffas, Alaa, Salem, Hashem, Salim, Ahmed, Samih, Ahmed Samir Abdelaal, Ahmed, Shaheen, Yassmeen Sharafeldin Mohammed, Abdelrahman, Shehata, Mohamed, Shemeis, Karim, Shenit, Mennatallah, Sheta, Asmaa, Soffar, Yousef, Tanas, Ahmed, Tarek, Nermin, Yehia, Omar Khaled Mohamed Eid, Ammar Yasser Abdulfattah, Ahmed, Elsaghir, Mohamed Fouad Elganainy, Omar Ibrahim Elsayed, Omar, Elmandouh, Omar, Hamam, Mostafa Ahmed Shehata, Areej, A Abdelaziz, Ahmed, M Abbas, Wael Abd El-Ghani, Hossam Aldein, S Abd Elazeem, Mustafa Abd Elsayed, Ahmed Yassien Abd-Elkariem, Shimaa, Abdalla, Mahmoud, Abdel-Aleem, Khaled, Abdelazeem, Mahmoud, Abdelfattah, Mohammed, Abdelhafez, Mohamed, M Abdelkarem, Ali, Abdelraouf, Lamess, Abdullaha, Hossam, Abubeih, Moaiad Eldin Ahmed, Nagm Eldin Abu Elnga Ahmed, Ahmed, Ahmed, Sarah Ahmed Saad, Sherif, Alaa, Ali, Alhussaini, Abdelrahman Ahmed Abdelrahman Ali, Ibrahim, Ali, Wagdi, Ali, Mohamed Ali Mohamed, Mohamed, Ashraf, Muhammad, Bassiouni, Mohamed, G El-Adawy, Mohammad, El-Sharkawi, Hussein, Elkhayat, Khaled, Elmaghraby, Shady, Elsdfy, Mohamed, Elsharkawy, Almoutaz, Eltayeb, Mohamed Esmat Mohamed, Esraa, Essam, Mahmoud, Fahd, Osama, Farouk, Rabea, Gadelkareem, Ahmed, Ghoneim, Mohammed Hamada Takrouney, Ahmed, Hamdan, Abd El-Rahman Hamed, Ahmad, Hasan, Mohamed Abdelghafor Hassanin, Islam, Hawal, Kerollos, Henes, Mohamed Omar Herdan, Helal, F Hetta, Omar, Ibrahem, Mostafa, Ibrahim, Islam, H Ibrahim, Mahmoud, Kamel, Mohamed, Khallaf, Shrouk, M Elghazaly, Abobakr, Mahfouz, Osman, Mahmoud, Wesam, Mahran, Doha, Mahrous, Abadeer, Marsis, Ayman, Mohamed, Aliae Mohamed Hussein, Amr Mohamed Sayed, Mahmoud, M Mohammed, Ahmed, Mokhtar, Fatma, A Monib, Ahmed, Nageeb, Mariam Albatoul Nageh, Mohammed, Nageh, Nehal Gamal Omar, Abdelrahman, Ragab, Abdelrahman, Ramadan, Abdallah Rashad Temerik, Aya, Sabry, Hadeer, Safwat, Omar, Salah, Ahmed Elhussiny Salah Mahmoud, Ahmed, Saleh, Mahmoud, Sallam, Ahmed, Samir, Reem, Sayad, Esraa, Sayed, Ahmed, S Sedik, Mohammed, Shahine, Antonios, Soliman, Wael, Soliman, Mohamed Gamal Taher, Randa, Wanees, Ebrahim Ahmed Yousof, Ahmed, Youssef, Omar Zein Elabedeen, Ahmed Emad Sayed Hassan, Shrouk Abdel Fattah, Ahmed, Abostate, Samar, Ali, Saad Ali Saad Salama, Mohamed, Allam, Ahmed, Alsadek, Ebrahim, Arafa, Ahmed, Barakat, Mohammed El Sherpiny, Gehad, Elbehairy, Mahmoud, Eleisawy, Abdelrahman, Elgendy, Rewan, Elhawary, Sherif, Eltregy, Mahmoud, Hamdy, Gehad, Hassan, Aya, Khalifa, Ahmed, Mahmoud, Ahmed Mohamed Altukhy, Kareem, Noah, Yasser, Noureldin, Mostafa, Nowar, Moustafa, Saad, Ahmed Saad Elsaeidy, Khaled Saad Elsaeidy, Hesham, Sabry, Mostafa, Sameh, Ahmed Tarek Said-Elnaby, Mohamed, Zahed, Mohamed, Zahran, Abdelrahman, Zaid, Ahmed Zaki Zoghary, Mohamed, Atef, Ahmed, Mohamed, Mohamed, Youssef, Mahmoud Hossameldin Saad Abdelhamid, Emad, Alazab, Ahmed, K Awad, Amr, Darwesh, Lobna El Fiky, Ibrahim, Elgarhy, Mohamed Adel Nassef, Mahmoud, Shaban, Mahmoud Mohamed Mohamed Shalaby, Abdelrahman, Wahba, Omar Youssif Omar Fouad, Menan, Elsadek, Dalia, Gad, Ahmed, Abdelsamed, Abdulhakeem, Bayomy, Mohamed, Elsalhy, Ahmed, Fahim, Ahmed, Seleim, Eman, Afifi, Fatma Alzahraa Gamal, Mennatullah, Gamal, Omnia, Eldesouky, Mohamed Hatem Elmetwalli Eldwini Eldwini, Mostafa Medhat Fahmy Fahmy, Ahmed, Hussein, Abdallah, Ouf, Omar, Sami, Salem, Shaat, Abdullah Wael Mostafa Khalil Bahi, Abdurhman, Atea, Ibrahim, Gamal, Mohamed El Kassas, Wael, Omar, Ahmed, Tawheed, Saeid, Al-Oribi, Nuran Khaled Aly, Mahmoud, Elfiky, Alaa Eldine Elmaghraby, Abdulrahman, Elrahmany, Motaz, Elsherbeeny, Youssef, Helmy, Ahmed, Nabil, Ahmed Samir Farahat, Mostafa, Soliman, Amr, Wassef, Abdelrahman, Abdelrahman, Seif, Elsaban, Galal, Ghaly, Rana, Hamdy, Hamada, Mondy, Lubna, Abdallah, Abdelrhman Kz Darwish, Mohamed, Rabea, Mohammed, A Azab, Alzhraa Salah Abbas, Marwa, El-Deeb, Mohamed, Fawzy, Maher, Ibraheem, Abdelrahman, Bakry, Sarah, Elnems, Randa, Elsheikh, Mohamed Ibrahim Gbreel, Mahmoud, Hafez, Mohamed, Jammal, Khaled, M Hamam, Abdelrahman, M Makram, Omar Mohamed Makram, Salma, Rabie, Sherine Yousery Askalany, Mokhtar Mohamed Ibrahim Abushanab, Abdulrahman, Eid, Mohammed Refaat Ibrahiem Amin El Ghalid, Ahmed Adel Abdelaty, Elsayed, A Fayad, Asmaa, Radwan, Moataz, Sallam, Ahmad, Shokry, Ahmed Mohamed Farouk, Ahmed, Elfallal, Hossam, Elfeki, Mohamed, Elsaeed, Mahmoud, Elsaid, Amany, 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Brolo, Ana Lucia Lemus, Jennifer, Greenberg, Krisna Mishel Morales Chew, José Rodrigo Oliva, María Alejandra De León Lima, Ismar Lopez Muralles, Felipe, Solares, Gaby, Ajcip, Claudia, Anton, Jose, Cojulun, Mario-Andrés, Flores, Noriega, José, Carlos Adolfo Marroquín Paiz, Steffanía, Morales, Ramiro, Najera, Eduardo Quiñónez Lorenzana, Pablo, Rivera, Lesly, Rodas, Victor, Santos, Dianne, Sosa, Natalia, Ybarra, José David Pérez Cajti, Carlos, Régil, Walter, A Osorio, Rember Rosales Arriola, Luis-Fernando, Talé-Rosales, Danilo, Herrera, Servio Tulio Torres Rodríguez, Sergio Alejandro Villeda, Joshua, Anicetti, Andrea Michelle Lowey Medina, Javier, Ardebol, Kathia, Barillas, Francis De Leon, Salvador, Recinos, Miguel-Angel, Marroquin-Alpirez, Yessica, Yax, Sophie, Hon, Yuk Ho Liu, Alex Qinyang Liu, Shirley, Liu, Hei Tung Natalie Chiu, Chi Man Tom Chow, Victor, Hau, Ho Wai Ip, Brian, Mak, Chung Ying Mok, Dennis, Ng, Yin Yu Eva Siu, Kiu Fung Wong, Jingya Jane Pu, Yu-Xiong, Su, Kit Ying 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Santhosh Kumar Sampengere Annayappa, Tulika, Agrawal, Premkumar, Anandan, Aditya, Baindur, Manjunath, Bd, Savitha, C, S Anitha, G, Sandeep, Harigond, K Tejeswini, K, Venkatesh, Kesarla, Mallikarjuna, Manangi, B Hareesh, P, Jyothi K, R Ranjan, Athish, Shetty, Santhosh Shivashankar Chikkanayakanahalli, Tanvi, Sunil, Shreya, Syamala, Kavya, Tharanath, Aditya, Atal, Niranjana, Rajagopal, S Srinath, B, Vinod, Nk, L Thirumanikandan, P, Nitu, Mishra, Sushruta, Shrivastava, Rekha, Wadhwani, Reyaz, Ahmad, Zainab Ahmad Haq, Prateek, Behera, Ritika, Dhurwe, Rehan, Haq, Vaibhav, Jain, Anuj, Jain, Sunaina, Karna, Kameshwarachari, Pushpalatha, Sumit, Raj, John Ashutosh Santoshi, Pooja, Singh, Virendra, Verma, Vaishali, Waindeskar, Moorat Singh Yadav, Zaheda, Aziz, Koyel, Chakraborty, Preetam, Chappity, Gurudip, Das, Debajyoti, Datta, Saubhagya Kumar Jena, Madhabananda, Kar, Susanta, Khuntia, Pankaj, Kumar, Ravi, Kumar, Aswathi, Kv, Abhijeet, Mishra, Swastik, Mishra, Yash, Mittal, Dillip, Muduly, 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Reddy Voppuru, Anushri, Soni, Gira, Soni, Junaid, Alam, Dinesh, Bagaria, Minu, Bajpai, Akshay Kumar Bisoi, Arvind, Chaturvedi, Sandeep, Chauhan, Narendra, Choudhary, Rajendra Singh Chouhan, Sunil, Chumber, Kamran, Farooque, Vasubabu, Gudala, Amit, Gupta, Mohit, Joshi, Apoorva, Kabra, Shashank Sharad Kale, Abhinav, Kumar, Subodh, Kumar, Dhruv, Mahajan, Rajesh, Malhotra, P Ramesh Menon, Biplap, Misra, Samarth, Mittal, Rajinder, Parshad, Pratyusha, Priyadarshini, Sushma, Sagar, Pradeep Brijkishor Sharma, Vijay, Sharma, Vivek, Trikha, Mayank, Tyagi, Kuldeep, Bansal, Kalyan, Varma, Anurag, Mishra, Rajdeep, Singh, Rohit, Bhardwaj, Abhishek, Mittal, Sabarirajan, Ponnusamy, Gyan Ranjan Singh, Isha, Tuli, Pramod, Bhor, Sanjay, Dhar, Sachin, Kale, Manisha, Aggarwal, Himani, Gupta, Gurleen, Kaur, Ajinkya, Deshpande, Anup, Gadekar, Tanmay, Jaysingani, Taufiq, Panjwani, Rakesh, Patil, Narendra, Vaidya, Sunil Kumar Vishwakarma, Utkarsha, Wayal, Debnarayan, Dutta, Rajnish, Arora, Mohit, Dhingra, 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Matteo, Filardo, Marika Sharmayne Milani, Franco, Ragni, Andrea de Manzoni Garberini, Edoardo, Baldini, Diana, Carpaneto, Michele, Cauteruccio, Corrado, Ciatti, Luigi, Conti, Serena, Gattoni, Pietro, Maniscalco, Gerardo, Palmieri, Calogero Puma Pagliarello, Giuseppe, Caristo, Raffaele, Galleano, Michele, Malerba, Marcello, Calabrò, Francesca, Farnesi, Elia Giuseppe Lunghi, Andrea, Muratore, Nicoletta Sveva Pipitone Federico, Joel Reuben Abel, Lorenzo, Andreani, Darienzo, Antonio, Vittorio, Aprile, Riccardo, Balestri, Giacomo, Benettini, Stefano, Berrettini, Luca, Bruschini, Massimo, Chiarugi, Federico, Coccolini, Simone, Colangeli, Camilla, Cremonini, Lodovica Cristofani Mencacci, Iacopo, Dallan, Silvia De Santi, Gregorio Di Franco, Lorena Di Girolami, Giacomo, Fiacchini, Niccolò, Furbetta, Stylianos, Korasidis, Marco, Lucchi, Andrea, Morandi, Luca, Morelli, Serena, Musetti, Carlo Maria Neri, Matteo, Palmeri, Miriana, Picariello, Francesco, Porcelli, Marco, Puccini, Nicolo, Roffi, 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Bianchi, Giuseppe, Bianco, Alberto, Biondi, Paola, Campennì, Valerio, Cozza, Sabatino, D'Archi, Domenico, D'Ugo, Veronica De Simone, Marta Di Grezia, Sofia Di Lorenzo, Federica, Ferracci, Valeria, Fico, Gianluca, Franceschini, Pietro, Fransvea, Giulio, Gasparini, Luca, Gordini, Antonio La Greca, Francesco, Litta, Celestino Pio Lombardi, Angelo Alessandro Marra, Angelo, Parello, Marco Maria Pascale, Romeo, Patini, Gilda, Pepe, Roberto, Persiani, Caterina, Puccioni, Carlo, Ratto, Fausto, Rosa, Gianmarco, Saponaro, Lorenzo, Scardina, Tedesco, Silvia, Giuseppe, Tropeano, Maria, Benevolo, Daniele, Bugada, Flaminia, Campo, Maria Gabriella Dona, Valentina, Manciocco, Paolo, Marchesi, Riccardo, Mastroianni, Francesco, Mazzola, Silvia, Moretto, Raul, Pellini, Gerardo, Petruzzi, Barbara, Pichi, Giuseppe, Simone, Gabriele, Tuderti, Jacopo, Zocchi, Luigi Marino Cosentino, Andrea, Sagnotta, Roberta, Angelico, Vittoria, Bellato, Michela, Campanelli, Marzia, Franceschilli, Michele, Grande, Giorgio, Lisi, Tommaso Maria Manzia, Lorenzo, Petagna, Bruno, Sensi, Giuseppe, Sica, Leandro, Siragusa, Giuseppe, Tisone, Marco, Assenza, Barbara, Binda, Massimo, Biondi, Gioia, Brachini, Placido, Bruzzaniti, Mauro, Casagrande, Flavia, Ciccarone, Pierfranco Maria Cicerchia, Bruno, Cirillo, Daniele, Crocetti, Giancarlo, D'Ambrosio, Vito, D'Andrea, Francesca De Felice, Giorgio De Toma, Carlo Della Rocca, Giulia, Duranti, Pietro, Familiari, Enrico, Fiori, Giovanni Battista Fonsi, Alessandro, Frati, Stefania La Rocca, Filippo La Torre, Pierfrancesco, Lapolla, Giovanni, Marruzzo, Simona, Meneghini, Andrea, Mingoli, Andrea, Picchetto, Antonella, Polimeni, Diego, Ribuffo, Maurizio, Salvati, Antonio, Santoro, Paolo, Sapienza, Luigi, Simonelli, Valentino, Valentini, Martina, Zambon, Giuseppa, Zancana, Emma, Zuppi, Simone, D'Annunzio, Cosimo De Nunzio, Silvia, Fiorelli, Mohsen, Ibrahim, Chiara, Loffredo, Domenico, Massullo, Cecilia, Menna, Rocco, Monica, Massimiliano, Pelli, Erino Angelo Rendina, Leonardo, Teodonio, Andrea, Tubaro, Giulio, Argenio, Giulio, Accarino, Accarino, Giancarlo, Antonio Nicola Giordano, Luca, Cardinali, Elisa, Sebastiani, Grazia, Travaglini, Erika, Andreatta, Emanuele Luigi Giuseppe Asti, Daniele, Bernardi, Luigi, Bonavina, Caterina, Froiio, Andrea, Lovece, Chiara, Copelli, Alfonso, Manfuso, Pasquale Di Maio, Marco, Giudice, Oreste, Iocca, Rosario, Cennamo, Tommaso, Cornali, Francesco Di Marzo, Cristian, Altana, Francesco, Bussu, Giampiero, Capobianco, Anna Giacomina Carta, Sandro, Ciccarello, Maria Laura Cossu, Pietrina, Cottu, Giacomo De Riu, Salvatore, Dessole, Francesco, Dessole, Salvatora, Dettori, Carlo, Doria, Alessandro, Fancellu, Claudio, F Feo, Giorgio Carlo Ginesu, Giuliana, Giuliani, Marco Giuseppe Iannuccelli, Massimo, Madonia, Roberto, Mancino, Olindo, Massarelli, Gianfranco, Meloni, Fabio, Milia, Andrea, Mulliri, Teresa, Perra, Marco, Petrillo, Antonio, Piras, Franco, Piredda, Francesco, Pisanu, Alberto, Porcu, Davide, Rizzo, Angelino, Sanna, Antonio Mario Scanu, Fabrizio, Scognamillo, Damiano, Soma, Anna Rita Tanca, Alessandro, Tedde, Matteo, Tedde, Luigi Angelo Vaira, Andrea Bartalini Cinughi de Pazzi, Osvaldo Carpineto Samorani, Daniele, Fusario, Luigi, Marano, Gaia, Oldrà, Anna Lisa Pesce, Stefania Angela Piccioni, Luca, Resca, Vincenzo, Ricchiuti, Franco, Roviello, Vinno, Savelli, Alberto, Abrate, Pierpaolo, Bordoni, Lorenzo, Bosio, Guglielmo, Clarizia, Francesco, Fleres, Marco, Franzini, Antonio, Fratto, Pierluigi, Giumelli, Alessandro, Grechi, Alessandro, Longhini, Fabrizio, Lorusso, Elisa, Scarnecchia, Federica, Scolari, Alessandro, Spolini, Vincenzo, Maiuri, Matteo, Papandrea, Arturo, Roncone, Lorenzo, Conti, Andrea, Rizzi, Marco, Rovagnati, Alberto, Brolese, Tommaso, Cai, Francesco Antonio Ciarleglio, Francesca, Dalprà, Gianni, Malossini, Liliana, Mereu, Irene, Tamanini, Saverio, Tateo, Giovanni, Viel, Enrico, Battistella, Paolo Boscolo Rizzo, Cristoforo, Fabbris, Marco, Massani, Giacomo, Spinato, Roberta, Tutino, Ugo, Grossi, Alessandro, Iacomino, Simone, Novello, Maurizio, Romano, Serena, Rossi, Giulio, Santoro, Giacomo, Zanus, Sokol, Trungu, Giada, Aizza, Gabriele, Bellio, Selene, Bogoni, Marina, Bortul, Biagio, Casagranda, Sara, Cortinovis, Nicolò de Manzini, Davide, Drigo, Paola, Germani, Manuela, Mastronardi, Lucia, Paiano, Silvia, Palmisano, Pier Luigi Filosso, Francesco, Guerrera, Matteo, Marro, Mauro, Rinaldi, Enrico, Ruffini, Stefano, Salizzoni, Laura, Bardelli, Mattia, Berselli, Giacomo, Borroni, Eugenio, Cocozza, Matteo, Desio, Bottazzoli, Elisa, Giuseppe, Ietto, Valentina, Iori, Domenico, Iovino, Lorenzo, Livraghi, Valentina, Marchionini, Stefano, Megna, Emma Amal Nahal, Mara, Palumbo, Valeria, Quintodei, Alessandra, Zullo, Lucrezia, D'Alimonte, Giovanni, Pirozzolo, Chiara, Vignotto, Tommaso, Campagnaro, Andrea, Caravati, Simone, Conci, Carlotta De Cristofaro, Gabriele, Gecchele, Tommaso, Giuliani, Jacopo, Graziosi, Alfredo, Guglielmi, Salvatore, Paiella, Corrado, Pedrazzani, Tommaso, Pollini, Simone, Rattizzato, Andrea, Ruzzenente, Roberto, Salvia, Giulia, Turri, Matilde, Bacchion, Giovanni, Butturini, Andrea, Casaril, Alessandro, Giardino, Harmony, Impellizzeri, Marco, Inama, Frigerio, Isabella, Gianluigi, Moretto, Marco De Zuanni, Enrica, Deiana, Mario, Guglielmo, Alessandro, Broglia, Claudia, Casarini, Caterina Costanza Zingaretti, Marta, Bonaldi, Giovanni, Cesana, Francesco, Mastriale, Stefano, Olmi, Matteo Uccelli Yasuyuki Fukami, Takuya, Saito, Tsuyoshi, Sano, Naoki, Hirai, Kazuyoshi, Hirota, Tetsuya, Kushikata, Tasuku, Oyama, Junichi, Saito, Katsuhiko, Ishibashi, Mizue, Kamiyama, Kyongsuk, Son, Kentaroh, Tarao, Takayuki, Yamada, Toshiya, Shiga, Chisaki, Aze, Yoshihiko, Deguchi, Hirotoshi, Hasegawa, Tatsuki, Hoshino, Yasushi, Innami, Hiroyuki, Inoue, Shingo, Ito, Takeshi, Nomura, Tomomi, Ogihara, Reina, Okada, Takashi, Ouchi, Yuri, Sekiya, Keikoku, Tachibana, Emi, Takano, Masae, Yamamoto, Shuko, Matsuda, Yuka, Matsuki, Kenji, Shigemi, 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Mubaydeen, Husam, Sarayrah, Mohammad Abdel Elah, A Tarawneh, Mohammad Yousef Karasneh, Amany, Zurgan, Mohammad, Alassaf, Sayel, H Alzraikat, Justin, Z Amarin, Ahmed, Hijjawi, Haya, H Suradi, Louay, Y Zaghlol, Ahmad, Abdalah, Ghaida, Abdallah, Ammar Abu Tarieh, Tareq, Abu-Libdeh, Faisal, Abualteen, Murad Al Abdallah, Zakaria Al Bdour, Seif Al Dahabrh, Farah, Al-Kasaji, Zaid Al-Sheikh Ali, Mohammad, Al-Thaher, Tareq, Alnajjar, Mohannad, Alqedrh, Mohammad, Alsaleh, Mohammad, Alzaatreh, Ghandi, Amayreh, Yazeed, Ayasra, Ahmad, Eid, Ibrahim, Ghayada, Khaled Moh'd Ahmed Hasanein, Anas, Hassouneh, Raid, Hijazeen, Majedah, Hmeidan, Ahmed, Khaled, Barihan, Khasawneh, Omar, Kifayeh, Yasser, Lafi, Jasem, Seba, Qusai, Semrin, Fda, Sma, Mohammad, Theab, Haitham, Tumeh, Muna Aba Zaid, Alaa, Abazeed, Bader, Abbad, Osaid, Abbadi, Nizar, Abu-Ishkerih, Malk, Al-Osta, Reham, Al-Zyadat, Bashar Omar Falah Alawneh, Majd, Alhattab, Mohd Mujahed Alkurdieh, Ziad, Awwad, Mohammad, Hammouri, Hamzeh, Hussein, 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Rakotoarisoa, Maharo, Ramifehiarivo, Solonirina Harinarindra Ranaivoson, Hajamihamina Marina Parfaite Randriantsoa, Narindra Njarasoa Mihaja Razafimanjato, Jeannie Ba Razafindrahita, Solofoarimanana, Solofoarimanana, Guillaume Odilon Tsiambanizafy, Rakotonaivo Mamisoa Judicaël, Corinne Eulalie Solo, Tojomamy Herinjaka Ralaizafindraibe, Fanonjomahasoa Safiry Andofenohasina, Hanta, Rasataharifetra, Vanona Barijaona Razafindraibe, Angelin Sablon Herinirina, Andre, Das, Thanga, Ganapathy, Yohesuwary, Gunarasa, Kalyani, Mariapan, Maathichsudhaar, Muniandy, Mohd Firdauss Osman, Mohd Azem Fathi Mohammad Azmi, Jien Yen Soh, Wan Zainira Wan Zain, Andee Dzulkarnaen Zakaria, Zaidi, Zakaria, Kheng Hooi Chan, Firdaus, Hayati, Syamim, Johan, Jin Jiun Mah, Ratha Krishnan Sriram, Sentilnathan, Subramaniam, Nur Shahirah Binti Muhammad Shahimi, Khairul Hazim Hamdan, Mohd Razali Ibrahim, Guhan, Muthkumaran, Ju Ann Tan, Mohana Raj Thanapal, Dayang Anita Abdul Aziz, Mae-Lynn, Bastion, Mohd Hairul Nizam Harun, Farrah-Hani, Imran, Norshamsiah Md Din, Ayesha Mohd Zain, Mushawiahti, Mustapha, Syed, Nabil, Ainal Adlin Naffi, Abd Jabar Nazimi, Roszalina, Ramli, Bee Hong Soon, Pavin, Bal, Joo Qing Cheng, Mohd Rusdi Draman, Ahmad Nazran Fadzli, Sakina, Ghauth, Weipin, Hung, Suniza, Jamaris, Peng Soon Koh, Sivakumar, Krishnasamy, Yeong Sing Lee, Yew Toong Liew, Jeffery Zk Lim, Raymond Chung Siang Lim, Hiong Chin Lim, Siti Farhan Moh Pauzi, Shireen Anne Nah, Ashvin Krishna Nair, Doris Sin Wen Ng, Yuki Julius Ng We Yong, Kamarajan, Ramayah, Rahmah, Saaid, Anand, Sanmugam, Mee Hoong See, Kanesh Kumaran Seevalingam, Neha, Sethi, Srihari, Singaravel, Syeda Nureena Syed Jafer Hussain Zaidi, Chu Yik Tang, Li Ying Teoh, Kian Boon Wong, Ruben, Xavier, Ahmad Shuib Yahaya, Norhafiza, Ab, Rahman, Islah Munjih Ab, Rashid, Mohd Fahmi Abd Aziz, Mohd Norhisham Azmi Abdul Rahman, Nasser Muhammad Amjad, Shahidah Che Alhadi, Faisal, Elagili, Mohd Nazli Kamarulzaman, Azmi Md Nor, Ahmad Faidzal Othman, Mohd Yusof Sainal, Mat Salleh Sarif, Richelle, Chua, Aini Fahriza Ibrahim, Abdul Rauf Bin Ahmad, Yii Ling Lau, Ka Yee Liew, Kandasami, Palayan, Hui Yu Wong, Jasiah, Zakaria, Nor Azimah Abd Aziz, Norazila Abdul Rahim, Noorneza Abdul Rahman, Bahiyah, Abdullah, Mohamed Faizal Bin Sikkandar, Fatin, Firman, Nik Mohd Hazleigh, Intan Kartika Kamarudin, Shahril, Khalid, Mohd Fairudz Mohd Miswan, Akmal Zulayla Mohd Zahid, Norasyikin, Mustafa, Kadhim, Obaid, Mohd Yusoff Bin Yahaya Yahaya, Ahmad Ramzi Yusoff, Predrag, Andrejevic, Jeremy Borg Myatt, Svetlana, Brincat, Clifford, Caruana, Kurt Lee Chircop, Francesca, Chircop, Daniel Mario Chircop, Charles, Cini, Viktoria, Czok, Melanie, Farrugia, Gabriella, Grima, Fatimah Mj Hassan Almukhariq, Esther, Muscat, Darryl, Pisani, Mohsin Hassan Khan Roshan, Nicholas, Schembri, Mohamed, Shoukry, Neville, Spiteri, Gilbert, Tanti, Ziad Aboharp Hasan, Alberto Bazan Soto, Cedillo Rodrìguez Jonathan Rubén, Gustavo Esteban Lugo Zamudio, David Gerardo Miranda Gómez, José Alfredo Pérez Meave, Victor Pinto Angulo, Antonio Rojas Aguilar, Erik Efrain Sosa Duran, Alejandro Vàzquez Perez, Diego, Arroyo, Jose, Corona-Cruz, Hector, Martinez-Said, Heriberto, Medina-Franco, Manuel, Mendez, Teresa Moreno, Y Suárez Ma, Dolores Orta Díaz, Martha Patricia Pérez de León Vázquez, Angélica Azucena Soto Carvajal, Fidel Soto Hernández, Juan Ignacio Stenner, Adriana Valenzuela López, Mauricio Rene Hernandez, Rey Jesus Romero, Aldo Bernal Hernandez, Ana Olivia Cortes-Flores, Carlos Jose Zuloaga Fernandez Del Valle, Carlos Andres Colunga Tinajero, Jaime, Orozco-Perez, Laura Gabriela Peña Balboa, Guillermo, Yanowsky-Reyes, Víctor Hugo Alcalá Torres, Francisco José Barbosa Camacho, Irma Valeria Brancaccio Perez, Miguel Angel Calderon-Llamas, Aldo Camacho Gomez, Edgar-Joaquin, Cortes-Torres, Esteban, Cueva-Martinez, Oscar Durán Anguiano, Isaac Esparza Estrada, Roberto, Fierro-Rizo, Paola Flores Becerril, Clotilde Fuentes Orozco, Miguel García Castillo, Alejandro Gonzalez 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Antonio Galindo Nava, Blanca, Santos, Juan Roberto Torres Cisneros, Katya, Bozada-Gutiérrez, Jose Jesus Herrera, Mucio Moreno Portillo, Francisco Pérez López, Mario, Trejo-Avila, Carlos Valenzuela Salazar, Maria Regina Alvarez, Fernando, Cordera, Marco Antonio de la Rosa Abaroa, Antonio, Gómez-Pedraza, Roberto, Hernandez, Antonio, Maffuz-Aziz, José Antonio Posada, Carlos Robles Vidal, Jose-Luis, Beristain-Hernandez, Blas Eduardo Quintero Sada, Nicolás Uxmal Soruco Heredia, Ernesto, Anaya, Ricardo, Arceo-Olaiz, Bernardo Gutiérrez Sougarret, Sonia Lopez Flores, Francisco, J Ochoa Carrillo, Raymundo Alfredo Pérez Uribe, Ludwigvan Adriano Bustamante Silva, Arianne, I Lupián-Angulo, Christian Enrique Soulé Martínez, Francisco César Becerra García, Ernesto Javier Guerrero Casillas, Edgar, Uribe, Nereida Esparza Arias, J Mindy Hernández-Nava, David, Isla-Ortiz, Javier, Melchor-Ruan, Esmeralda Romero Bañuelos, Rosa, Salcedo-Hernández, Diana, Vilar-Compte, Paola Zinser Peniche, Jorge, L Aguilar 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Mendoza Pedraza, Monica Noguez Castillo, Jose Anatolio Resendiz, Oscar Alejandro Sánchez García, Laura Elena Fernandez Rios, Pamela, Frigerio, Iset, Garcia, Gloria Isela Mendoza Frías, Emmanuel, Moreno, Raquel, Quiroga, Alejandra Anzures Mendoza, Arantza Govela Hinojosa, Aldo, Izaguirre, Luis Hdez Miguelena, Jose Manuel Luna Vazquez, Indalecio Barcelata Rodriguez, Raul Ramos Mange, Carlos Reyes Utrera, David Zarate Saenz, Miguel Angel Zavala Gonzalez, Francisco Andrade González, Ludivina, Cortes, David, Roman, Aaron, Sanchez, Radu, Gurghiș, Gheorghe, Rojnoveanu, Marin, Vozian, Petru, Caraja, Gheorghe, Croitor, Roman, Mosneaga, Sarnai, Erdene, Lundeg, Ganbold, Sergelen, Orgoi, Soyombo, Orsoo, Altanchimeg, Sainbayar, Erdene, Sandag, Burmaa, Sanjaa, Rita Ait Benhamou, Abdessamad El Azhari, Bennis, Ghita, Sara, Lhassani, Sidi Mamoun Louraoui, Mounir, Rghioui, Sarra, Saaf, Taha, Gadouali, Iltimass, Gouazar, Moniba, Korch, Ahmed, Letrache, Amina, Louari, Anas, Zamame, Samia, Ousouss, Meryem, 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Alexander, Borgstein, Suzanne, Gisbertz, Sarah, Mikdad, Mark van Berge Henegouwen, Roel, Bakx, Marc, Besselink, Daniel Hl Lemmers, Anne-Jasmin, Roelofs, Paul van Amstel, Claire van Helsdingen, Ludi, Smeele, Niels, Harlaar, Frederik, Jonker, Sjirk van der Burg, Justin, Y van Oostendorp, Saranda, Ombashi, Tim van der Voort, Martijn van Geldorp, Lisanne, Posma-Bouman, Hans Donald de Boer, Annette, Olieman, Henriette, Smid-Nanninga, Jean-Paul P, M De Vries, Rianne, Hogenbirk, Tyche, Derksen, Josephine, Franken, Steven, Oosterling, Peter, Nolte, Jelle van der List, Ian, Alwayn, Okker, Bijlstra, Andries, Braat, Ruth, Bulder, Michèle de Kok, Robin, Faber, Ben, Goudsmit, Jaap, Hamming, Sven, Mieog, Alexander, Vahrmeijer, Fenna E, M van de Leemkolk, Joost van der Vorst, Jan van Schaik, Merel, Verhagen, Kim, Albers, Larsa, Gawria, Harry Van Goor, Michiel, Warle, Tessa, M van Ginhoven, Charlotte, Viëtor, Evert-Jan, Boerma, Lara, Lallitsch, Donald, Schweitzer, Wouter, Leclercq, Julie, Sijmons, 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Uros, Bumbasirevic, Zoran, Dzamic, Boris, Kajmaković, Bogomir, Milojevic, Nebojša, Prijović, Marko, Zivkovic, Aleksandar, Lazic, Nebojsa, Mitrovic, Dejan, Stevanovic, Marko, Buta, Ana, Cvetkovic, Igor, Djurisic, Merima, Goran, Zorka, Inic, Andjela, Ivezić, Nikola, Jeftic, Marko, Jevric, Vladimir, Jokic, Milan, Kocic, Zoran, Kozomara, Ivan, Markovic, Srdjan, Nikolic, Nada, Santrac, Nevena, Savković, Igor, Spurnic, Dobrica, Stevic, Dejan, Stojiljkovic, Jovana, Tripkovic, Nikola, Vucic, Milan, Zegarac, Tatjana, Dejanovic, Vladimir, Djukic, Srdjan, Marinković, Miljan, Milanovic, Nemanja, Pijanovic, Milena, Radosavljevic, Predrag, Savic, Dejan, Stojakov, Rastko, Živić, Sinisa, Ducic, Mikan, Lazovic, Jovana, Bojičić, Vladica, Cuk, Jovan, Juloski, Aleksandar, Karamarkovic, Marko, Kenic, Bojan, Kovacevic, Igor, Krdzic, Vladan, Milutinović, Vladimir, Djan, Velicko, Trajkovic, Dragana, Zivkovic, Aleksandar, Đermanović, Danica, Golijanin, Dejan, Lukic, Zoran, Radovanovic, Dragana, Radovanovic, 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Raquel Angulo Artal, Luis, Barbier, Guillermo, García-Operé, Marta, Jiménez-Jiménez, Héctor, Marín, Mikel, Oñate, Luis Antonio Pascua-Gómez, María Alexandra Pesántez Peralta, Ibabe Villalabeitia Ateca, Ladislao Cayetano Paniagua, Joan, Camí, Pablo, Collera, Martínez, David, Carlos Javier Gómez Díaz, Jordi Querolt Coll, M Dolors Rosines Cubells, Cristina Soto Montesinos, Guillermo, Triana, Marina, Xicola, Alfonso, Alias, Albert, Baduell, Mariano, Balaguer-Castro, María Pilar Camacho Carrasco, Marina Cámara Vallejo, Borja Campuzano Bitterling, Guillem, Claret, Francisco, J Cuesta-González, Alberto Di Somma, Joaquim Enseñat Nora, Neus, Fabregas, Ada Ferrer Fuertes, Abel, Ferrés, Cesar, Ginesta, Jose Juan Gonzalez Sanchez, Isabel, Gracia, Jhon Alexander Hoyos Castro, Montsant, Jornet-Gibert, Xavier, Morales, Alejandra, Mosteiro-Cadaval, Leire, Pedrosa, José Poblete Carrizo, Marina, Renau-Cerrillo, Luis Alberto Reyes Figueroa, Pedro Roldan Ramos, Jordi Rumià Arboix, Marta, Sabater-Martos, Josep, M Segur, Thomaz, E Topczewski, Jorge, Torales, Ramon, Torné, Pere, Torner, Ricard, Valero, Marian, Vives-Barquiel, Eulalia, Ballester, Alberto Basterra Rincon, Vitiello, Giulia, Belén Martin Arnau, Marta, Gil, Silvia, Martin, Monica, Serrano-Navidad, Mauricio Agüero Mariño, Núria Casanova Torrequebrada, Berta Fabregó Capdevila, Adrián López Campillo, Gemma, Mancebo, Ester, Miralpeix, Blanca, Montcusí, Marina, Munarriz, Ariadna, Salvadó, Josep, M Sole-Sedeno, Clara Téllez Marquès, Ana Centeno Álvarez, Ruth Lopez Gonzalez, Luisana Riba Combatti, Andrea Sanz Llorente, Miguel Bejarano Serrano, Blanca Capdevila Vilaró, Maria Coronas Soucheiron, Mario Cuesta Argos, Irene de Haro Jorge, Yaiza Galvañ Félix, Luis, García-Aparicio, Rebeca, Leal, Albert Malet Contreras, Irene, Martínez-Padilla, Clara, Massaguer, Ines Moraleda Gudayol, María Elena Muñoz Fernández, Paco, Parri, Cristina Pérez Costoya, Javier, Rojas-Ticona, Leopoldo Tapia Moral, Francisco, Vicario, Francesc Angles Crespo, David Bosch Garcia, Berta, Escudero, Carlos Garcia Cardona, Sergi, Bellmunt-Montoya, Javier de la Torre, Úrsula, Acosta, Iago Alvarez Saez, Eva Andreu Riobello, Fernando Ascanio Gosling, Jose, Bagan, Irene, Brana, Bartomeu, Caimari, Marta Cicuendez López Ocaña, Anna, Conesa, Alba de Pablo García-Cuenca, Natalija, Dediulia, Francesc, Duran-Valles, Jordi Giralt López de Sagredo, Maria Jose Gomez-Jurado, Ernesto, Guerra-Farfan, Juan Sebastian Guillén, María Guisasola Rabés, Viviana Andrea Hernández Angel, Maria Jurado Ruiz, Yuri, Loaiza, Manuel, Lopez, Susana, Manrique, Maria Dolores Mateo Arzo, Joan, Minguell-Monyart, Enric Miret Alomar, Sonia Monreal Clua, Víctor Morales Ariza, Clara Morales Comas, Judith, Murillo, Jose Maria Nieto Rodriguez, Elena Vilardell Ortiz, Jorge, Pamias, Montserrat Pascual Pascual Arellano, Remei Perera Sarri, Aleix Pons Bartroli, Nil, Prat, Alfredo Pueyo Ferrer, Rosa Pujol Pina, Jordi, Raurich-Leandro, Maria José Reche Padilla, Joaquín Rivero Déniz, Natalia, 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Alexia Victoria Paluso Montero, Natalia Pérez Romero, Adriana, Poch, Jaime Rodríguez de Alarcón, Adriana Ruano Campos, Rebeca Ruiz Roman, Patricia Saez Carlin, Cristina Sánchez Del Pueblo, Lidia Sotillo Valenzuela, Armando, Galvan, Miguel Ángel García Ureña, Enrique, González, Manuel Medina Pedrique, Alvaro Robin Valle de Lersundi, Carlos San Miguel, Juan, Aragón-Chamizo, Monica, Ballon, Jose, M Barrio, Beatriz Castro Catalan, Laura Cebolla Rojas, Renan Carlo Colombari, Miguel Cuende Diez, Paula Dujovne Lindenbaum, Oscar, Gil-de-Sagredo, Silvia Kayser Mata, Pablo Lozano Lominchar, Yeniffer Tatiana Moreno Salazar, Angela, Moreno-Gutierrez, Melanie, Morote, Uxue, Murgoitio, Nikolas Palma Caucig, Lucía Polanco Pujol, Alejandro, Prosperi, María Belén Ramírez Senent, Diego Fernando Ruiz Chiriboga, Mercedes, Sanz, Maria, Tudela, María Adrien Lara, Raquel, Alarza, Isabel Alonso Sebastian, Mariano Artés Caselles, Laura, Calles-Sastre, Marcos Casas Sánchez, Aritz Equisoain Azcona, Lucía, 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Barbara, Algar-Yañez, Gutiérrez, Bérénice, Olga De La Varga-Martínez, Paula, Fernandez-Valdes-Bango, Sandra Maria Gadin-Lopez, José María Martínez-Gómiz, Elena, Nieto-Moreno, Ana, Nieto-Moreno, Montserrat Ocampos Hernandez, Maria Laura Pelegrina-Lopez, Alicia Ruiz Escobar, Elena, Sáez-Ruiz, Beatriz, Vazquez-Rivero, Antonio, Lara, Belén Vielva Del Campo, Fernando Alcaide Matas, Simbad, Costas-Ochoa, José María García Pérez, Elizabeth, Marmol, Paula Troncoso Pereira, Maria Del Pilar Concejo Cutoli, Juan Ramón Gómez López, Juan Carlos Martín Del Olmo, Paloma Guillamot Ruano, Javier Páramo Zunzunegui, Antonio Albarracín Marín Blázquez, Alfonso, Aliaga-Sanchez, Marta María Arroyo Domingo, Miriam Artés Artés, Ana Isabel Avellaneda Camarena, Aida, Blaya, Emny Rochell Bobadilla Romero, Pedro Vicente Fernández-Fernández, Lorena Galindo Iñiguez, Víctor Javier García Porcel, Clara Giménez Francés, Antonio Javier Gomez Poveda, Rebeca Gonzalez Celdran, Francisco Miguel González Valverde, Laura 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López, Ruth Marquina González, Tania, Pastor, Adrián Recio Ayesa, Ana Paula Riverola Aso, Carballo, Rodríguez, Araceli, Rodrìguez, Maria Inmaculada Ruiz Montesinos, Patricia, Torres, Jose, Undabeitia, Ainara, Villafruela, Maria Barrionuevo Ramos, David, Blanco, Marta, Calderón, Eva Corral Rubio, Angel, Cuadrado-García, Daniela, Cubek, Ignacio, Fariña, Maria Fernandez LLorente, Natalia Flores Amador, Mariana García Virosta, Luis Garcia-Sancho Tellez, Adelina Gonzalez Martinez, María, Hernandez, Rubén Herreros Ruiz-Valdepeñas, Carmen Jimenez Sanchez, Eduardo Llamazares Cobo, María, López, Javier, López-Martin, Teresa Martínez Marivela, Luis Miguel Martinez Parra, Paloma Maté Mate, Paloma, Medrano, Manuel Moriche Carretero, Sara Núñez O'Sullivan, Manuel Ortega Oria de Rueda, María Begoña Pastor Nieto, Clara, Pérez, Antonio, L Picardo, Remedios Revilla Amores, Carmen Rodríguez Haro, Jose Alberto Rojo López, Fatima Sanchez Cabezudo Noguera, Cristina, Sanz, Daniel Serralta de Colsa, Cristina Valor Garcia, Marta Velasco Martinez, Iván Andújar Lara, Aranzazu, Calero-Lillo, Enrique, López-Ruiz, Alberto Díaz García, Alejandro Menéndez Moreno, Luis Eduardo Pérez-Sánchez, Ángela, Pascual, Miguel Adeba García, Marta Alonso Fernández, Javier Alvarez Gama, Roberto, Ballestero, Loreto Berjon De La Vega, Paola Calleja Hermosa, Mariana, Carrillo-Rivas, Alfonso, Casado, Andrea, Cerveró, Bonifacio Cimadevilla Calvo, Patricia Corriols Noval, Paloma de la Dehesa Cueto-Felgueroso, Miren Jasone Diez Zapirain, José Estevez Tesouro, José Antonio Fernández-Dívar Sánchez, Lucia Garcia Alcalde, Juan García Cardo, Tito García Moreno, Daniel, García-López, Belen Garcia-Montesinos Perea, Miren Gonzalez Benito, Rocio, Gonzalez-Aguado, Miguel Ángel Gordo Vega Gordo-Vega, Jose, Gutierrez-Banos, Jaime Jimeno Fraile, Yolanda Jubete Castañeda, Patricia Lopez Gomez, Antonia Jesús López López, David Mato Mañas, Carmelo, Morales-Angulo, Dieter, Morales-Garcia, Sara, Naranjo, Jose Luis Rabago, Jose Manuel Rabanal, Rocio Revuelta Zorrilla, Adriana Reyes Echeverría, Juan Carlos Rodríguez-Sanjuán, Juan Ramón Sanz, Isabel Simal Badiola, Guillermo, Tejón, Enrique Toledo Martínez, Raquel Varea Malo, Begoña, Fadrique, Tania, Funes, Elena González Revilla, Isaias, Alarcón, Daniel Aparicio Sánchez, Pablo Beltran Miranda, Carmen, Cepeda-Franco, María Josefa Cuevas López, Sandra, Dios-Barbeito, Virginia María Durán Muñoz-Cruzado, Carlos Gonzalez De Pedro, Rosa, M Jimenez-Rodriguez, Francisco, Manresa-Manresa, Gabriel, Marin, Cristobalina, Martin-Garcia, Sara, Martínez-Núñez, Juan Manuel Martos Martinez, Lucas, Mengíbar, Felipe Pareja Ciuro, Eduardo Perea Del Pozo, Veronica Pino Diaz, José, Pintor-Tortolero, Claudia, Quintero-Pérez, Maria Luisa Reyes Diaz, Mercedes Rubio Manzanares Dorado, Alejandro Sanchez Arteaga, Ana, Senent-Boza, Luis, Tallon-Aguilar, Jose, Tinoco-Gonzalez, Luis-Cristobal, Capitan-Morales, Juan Cintas Catena, Javier, Valdes-Hernandez, María Del Campo Lavilla, Alina López De Fernández, Miriam Abellan Lucas, Alba Diaz Padillo, Maria Gómez Romero, Linda Grace Puerto Tamayo, El Mostafa El Yaqine Er Raoudi, Melody García Domínguez, María Ángeles Gascón Domínguez, Marta González Pérez, Alba Hernáez Arzoz, Joana San Anton, Cristian, Ruminot, Hander Guillermo Acosta Diaz, Daniella, Laguado, Kristina, Aghababyan, Alba, Jr, Enrique, Artigues, Rocío, Belda, Miguel, Beltran, Jose Ignacio Blanes, Elena Campos Carot, Miriam, Cantos, Laura, Costa, Carolina Ferrer Gomez, José María Gallego Sánchez, Oscar, Gil-Albarova, Juan, Gilabert-Estellés, Emilio Lopez Alcina, Isabel López Sánchez, Severiano Marin Bertolin, Carolina, Martinez-Perez, Antonio Melero Abellán, Claudia Mulas Fernández, Beatriz, Novoa, Ruth, Nuñez, Pablo Renovell Ferrer, Guijarro-Jorge, Ricardo, Carolina Soledad Romero Garcia, Miguel Sanfeliu Giner, Silvia, M West, Enrique, Zapater, Ignacio, Miranda, Ana, Monís, Alejandro Roselló Añón, María José Sangüesa, Jorge Sanz Romera, Marcos, Adrianzén, Maria Barrios Carvajal, Mireia, Bauzá, Ana Benítez Riesco, Jose Antonio Carbonell Lopez, María-Carmen, Fernández-Moreno, Ricardo Gadea Mateo, Francisco, Garcia, Maris Luisa García-Pérez, Luisa Paola Garzon, Ana, Izquierdo, Maria Lapeña Rodríguez, Carlos, León-Espinoza, Fernando, Lopez, Rosa Martí Fernández, Sara Martínez Castro, Berta Monleón López, Isabel Mora Oliver, David, Moro-Valdezate, Ernesto Muñoz Sornosa, Sara Palomares Casasús, Leticia Pérez Santiago, Mara Albert Fort, Reyes, Balanzá, Lorena Bermell Marco, Carla Carratalá Pérez, Claudia Pilar Clemente Tomas, Marta, Córcoles, Jose Ángel Diez Ares, Carlos Domingo Del Pozo, Nuria Estellés Vidagany, Gonzalo, Garrigos, Mar Gimeno Gimeno Vicente, Blanca Alastrue Giner, Segundo, Gomez-Abril, Paloma, Gonzalez, Paula Gonzálvez Guardiola, Guillermo Sebastian Martínez Fernández, Charo Martínez García, Lucía, Martínez-Costa, Luz María Moratalla Charcos, Sergio Navarro Martínez, Carmen, Payá-Llorente, Álvaro Pérez Rubio, Nuria, Peris, Eduardo Picazo Pineda, Jordi Planelles Gómez, Francisco Ripoll Vidal, Andrea, Roca, Enrique, Salmerón-González, Raquel Segura Roselló, Ramon Trullenque Juan, Cristina Verdejo Gimeno, Jose Miguel Zaragozá García, Gema Zomeño Bravo, Marcos Bruna Esteban, Hanna, Cholewa, Milton de Jesus, Matteo, Frasson, Luis Oliver García, Héctor, J Aguado, Antonio Jose Alonso Villalba, Francisco, Ardura, Carmen Elena Badillo Bercebal, María Bedate Núnez, Alvarez-Ramos Begoña Aranzazu, Juan Beltrán de Heredia, Hugo, Bermejo, Juan Berrocal Cuadrado, Maria Bragado González, Juan, Bustamante-Munguira, Raul Calvo Gonzalez, Yolanda, Carrascal, Ana Belén Casas Marcos, María Carmen Cervera, Sergio Chávez Valladares, Ángel Cilleruelo Ramos, Susana, Cortes, Jesús, Crespo-Sanjuán, María, Cuaresma, Luis Antonio Cuellar Martin, Carlos Ferreras García, Alvaro, Fuentes-Martín, Abel, Ganso, Elena García García, Luis, Garcia-Florez, Virginia, Garcia-Virto, Juan, Gatón, Julio Alberto Gobernado Tejedor, Tania Gómez Sanz, Jose Ignacio González Martín, María Begoña Gregorio Crespo, Ana Herranz Arriero, Jose, Herreros, Marta Ibáñez Nieto, César, Infante, Carlos, Jezieniecki, Moises, Juarez, Gregorio de Jesus Labrador Hernandez, Ana Patricia Legido Morán, Ricardo León Fernández, Alejandro, Leon-Andrino, Almudena, Llorente, Maria Lopez Pais, Mauricio Loucel Bellino, Sergio, Martin, Miguel Angel Martin-Ferrero, Gonzalo Martinez Municio, Elvira Mateos Alvarez, José María Matilla, Luis María Merino Peñacoba, Mario, Montes-Manrique, Fernando Natal Álvarez, David, C Noriega, Henar Nuñez Del Barrio, Francisco Javier Ortiz de Solórzano Aurusa, Lucía, Pañeda, Victoria Pascual Escudero, Miguel Pascual Samaniego, Adela, Pereda, Marta Pérez Febles, Laura, Pesquera, Maria, Plata, Emma Puertas Ruiz, Mario, Rodriguez-Lopez, Alejandro Romero de Diego, Ana, Ruano, María Ruiz Soriano, Cristina Sánchez Torralvo, Silvia Santiago Maniega, Bárbara, Segura-Méndez, Clarisa Simon Perez, José, Soro-García, Paula Suárez Mansilla Suárez-Mansilla, Jeancarlos Trujillo Díaz, Mª Esther Valsero Herguedas, Andrea Vazquez Fernandez, Eduardo Velasco García, Ana, Zabalza, Álvaro Zamora Horcajada, Fernando Acebes García, Enrique Asensio Díaz, Martín, Bailón, Alejandro David Bueno Cañones, Alvaro Centeno Velasco, Ekta Choolani Bhojwani, Fernando Labarga Rodríguez, Sara, Mambrilla, Pablo, Marcos-Santos, Toledano, Miguel, David Pacheco Sánchez, Baltasar, Pérez-Saborido, Pilar, Pinto, Katherine, Plua, Javier Sanchez Gonzalez, Vicente, Simo, Rosalía Velasco López, Sandra Veleda Belanche, Fabiola Eugenia Michel Campos, Iciar Muñoz Lindez, Maria, Balluerca, Maite, Camuera, Pablo, Helguera, Imanol, Herrero, Patricia Paunero Vazquez, María, Sánchez-Rubio, Isami, Soeda, María Dolores Arribas Del Amo, Vicente Manuel Borrego Estella, Estefania, Casas, Néstor Castán Villanueva, Daniel Delfau Lafuente, Elena Delgado Blanco, María, Domingo, Ismael Gil Romea, Azucena, Gonzalo, Emilio Lagunas Lostao, Noelia Lete Aguirre, Yaiza Martinez Lahoz, Jesús Víctor Pérez-Tierra Ruiz, Maria Del Mar Soriano, Isabel Valero Lázaro, Esmeralda Carnicer Escusol, Guillermo Pola Bandres, Juan Luis Blas Laina, Beatriz, Cros, Patricio Andrés Freile Pazmiño, David, Garcia-Aguilera, Ana Mejía Casado, Ana, Nogués, Issa Talal El-Abur, Carlos, Yánez, Isabel Gascon Ferrer, Carlos, Gracia-Roche, Ursula María Jariod Ferrer, María Victoria Simón Sanz, Tomas, Uson, Waseem, Ahamed, Sumudu, Jayasinghe, Eranda, Karunadasa, Prathibha, Nelihela, Sujeewa Priyantha Bandara Thalgaspitiya, Dickson, Wickramarathna, Nagenthiram, Harivallavan, Pirashanthan, Nagarasa, Eranga, Perera, Kanapathipillai, Piratheep, Vithranage Srimantha Dewsiri Rodrigo, Meera, Thayalan, Rajendram, Thayaparren, Arulprashanth, Arulanantham, Kanishka De Silva, Gagana, Ganga, Anuja Nadeeshan Kumarasinghe, Mahanada, Udukala, Koculen, Vimaleswaran, Prashanthan, Yogarajah, Ravindri, Jayasinghe, Probhodana, Ranaweera, Mohamed, Rishard, Dharmabandhu, N Samarasekera, Sanjeewa, Seneviratne, Sivasuriya, Sivaganesh, Chamal, Fernando, Nishantha, Mendis, Balasingam, Balagobi, Balasupramaniam, Sathesan, Lanka, Dasanayake, Malitha, Patabendige, Wickramasooriya, Dj, Kugarajh, Ganeshapillai, Sathyamoorthy, Prasanna, Dileepa, Ediriweera, Sumudu, Kumarage, Asanka, Jayawardane, Athula, Kaluarachchi, Pituwala Liyanage Adithya Sirisena, Abubakr, Abubakr, Hozifa, Mohamed, Ismail, Mustafa, Mogahid, Sharfeldein, Samir, Ismail, Reem, Musa, Monira, Sarih, Mussab, Abaker, Eman Adam Abdalla, Mohamad, Abdelbagi, Alsafe, Adlan, Ahmed, Alnaeem, Safa, Atyah, Yasir, Awad, Rsheeda, Dawelbait, Mohamed El Hag, Ibrahim, Elbashir, Sami, Eldirdiri, Samwal, Eldirdiri, Mohammed Eltahier Abdalla Omer, Lana Abdalgadir Ahmed Mohamed, Hiba Hassan Rehmtallah Ahmed, Mohammed Balla Yousif Balla, Abdulmoiz, Aljafari, Abdulmalek, Aljafari, Elsagad, Mohamed, Abdulkader, Mohammad, Abdulkader, Shaar, Mohamed Nafea Shaar, Maab Hussein Yousif Elhafiz, Mohammed Husien Yosif Elhafiz, Abubakr Ali Mohammed Alhassan Humidan, Almigdad, Ali, Hisham, Eljack, Mohamedyasin, Elrashid, Manhal, Ahmed, Albrra, Alhag, Douaa, Ali, Mohammed Ahmed Babikir, Imad, Bakheit, Hytham K, S Hamid, Sami, Mohamed, Walid, Shaban, Nidhal, Siddig, Mohamed, Suliman, Rihab Yasir Abdelmagid, Abubaker, Yassin, Omer, Abbas, Eltahir, Abdelrahim, Muhammed, Ahmed, Mohamed, Elobaid, Adil, Hashim, Ali, Mohamed, Omer, Mohamed, Khalid, Osman, Abdallah, Yousif, Safaa, Abdulaal, Marwa, Elsadig, Mohammed, Hussain, Malaz Amir Ataalmanan, Doha Amir AtaAlmanan, Tebyan Amir AtaAlmanan, Alaa, Elgaili, Maria, Mohamed, Usra, Omara, Alkhansa, Osman, Amna, Osman, Safaa, Saad, Abdelkareem, Ahmed, Ali Adil Ali Karar, Aya, Alhassan, Mohanad, Alsidig, Mohamed, Eljack, Mohammed Ibrahim Mohammed Ali, Awad Kamal Awad Osman, Liena, Mohamed, Samah Ibrahim Omer Mohamed Osman Mohamed Osman, Altayeb, Mohammed, Ayman, Mohammed, Khadija, Muhmmed, Eltahir, Musa, Egbal Sahal Abdelmajed, Khalid Z M, Y Hamid, Omnia M, M Yousif, Mahmoud, Saleh, Osman, Bashir, Yassein, Elhussein, Omar, Madani, Eva, Angenete, Jennifer, Park, Lars, Gillberg, Monir, Jawad, Linas, Pieteris, Yousif, Saeed, Sergej, Safonov, Martin, Spångfors, Henrik, Andersson, Hans, Bahlmann, Karin Björnström Karlsson, Michelle, Chew, Lara, Daham, Lina De Geer, Helen, Didriksson, Gunilla, Gagnö, Carina, Jonsson, Anna, Oscarsson, Pamela, Buchwald, Mathilde, Delorme, Marie-Louise, Lydrup, Shahin, Mohseni, Arvid, Pourlotfi, Souheil, Reda, Kajsa, Anderin, Nina, Blomme, Josefin, Segelman, Malin, Simlund, Anders, Thorell, Fredrik, Wogensen, Daniel, Danielsson, Peter, Elbe, Rebecka, Hultgren, Boel, Hynning, Fredrik, Klevebro, Karin, Lind, Ebba, K Lindqvist, Carl, Montan, Ernesto, Sparrelid, Clara Svenberg Lind, Jeremy, Wales, Andreas, Älgå, Martin, Nordberg, Emil, Pieniowski, Ioannis, Gkekas, Niklas, Löfgren, Karolina, Niska, Robert, Zürner, Silvio, Däster, Otto, Kollmar, Savas, Soysal, Stephanie, Taha-Mehlitz, Athanasios, Tampakis, Dominik Valentin Flury, Marie, Heyne-Pietschmann, Gregor Jan Kocher, Ana, M Calinescu, Barbara, Wildhaber, Markus, Gass, Jürg, Metzger, Andreas, Scheiwiller, Lukas, Briner, Oliver, Dwidar, Steven, Grandjean, Pietro, Ricciardi, Alexandra, Calmels, Christodoulou, Michel, Morena, Antonilli, Dimitrios, Christoforidis, Alessandra, Cristaudi, Jacopo, Galafassi, Maria Luisa Gasparri, Francesco, Mongelli, Martino, Munini, Andrea, Papadia, Sotirios Georgios Popeskou, Alex, Alfieri, Thomas, Bächler, Matteo, Giardini, Christian, Gingert, Laura, Guglielmetti, Inna, Meyer, Tobias, Müller, Daniel, Schöni, Folco, Solimene, Frank, Weidner, Marco, Bueter, Daniel, Gero, Amelie, Müller, Carmen, Portenkirchner, Andreas, Thalheimer, Jeannette, Widmer, Ahmad, Hmaideh, Alaa, Kour, Saleem, Swaes, Omar, Alannaz, Ramez, Aljasem, Ezeddin, Dabbagh, M Wafa Hamoud Alhussein, Amr, Hamza, Mazen, Mohammad, Abd El-Fattah Mouhandes, Mohamad, Shareeda, Mohammad Nour Shashaa, Mousa, Sifat, Sheraa, Tahhan, Rahaf, Toutounji, Mohamed, Abdulrahman, Albaraa, Abdulsalam, Ziad Al Jarad, Hala, Alayyoubi, Dina, Alfarra, Ahmad, Alhamid, Mahmoud, Alnasser, Mulham, Gharib, Ruwaid, Gharib, Obaida, Kabel, Osama, Kherallah, Abdulqader, Klaho, Mohamed Shukri Najjar, Ahmad, Razouk, Joud, Shiekhoni, Wael, Alkhaleel, Amira, Almosa, Mohammad, Aloulou, Maen, Alzaeem, Khaled, Arnaout, Muhamad Zakaria Brimo Alsaman, Mohamad, Estanbouli, Hanadi, Hawa, Ahmad Nbrass Kabawi, Ghina, Maarawi, Yehia, Mashhadany, Sana Shaikh Torab, Waleed, Abd, Tayma Abd Alghafour, Hani, Abdalnour, Nazeeh Al Aktaa, Marwan Al Aliwy, M Maher Al Arje, Tasneem Al Najjar, Ahmad, Al-Mouakeh, Ahmad, Aldakhil, Aos, Alhamid, Hasan, Alhasan, Mohamad Shadi Alkarrash, Jumaa, Alkhamis, Sara, Alshekh, Ahmad Yamen Arnaout, Oula, Azizeh, Mohammed, Dalaleh, Aghyad, Danial, Zain, Douba, Raghad, Ghadri, Mohammad Maen Ghannam, Anas, Ghawi, Luma Haj Kassem, M Yasser Halwani, Shahed, Hamadieh, Mohammad, Hanino, Ala Aldeen Hasan, Haya, Jawish, Nasr Ullah Kabbani, Saadullah, Kabbany, Mohamad, Kadi, Lama, Kadoura, Ahmad Amir Kayali, Ammar, Kayyali, Aya, Kelzia, Amana, Kezze, Abdullah, Khalaf, Maymona, Khayata, Mohammad Nour Kitaz, Mohammad, Kour, Raghad, Makki, Ruqaya, Masri, Joseph, Masri, Noor, Masri, Muhammad, Mazketly, Shiar, Mustafa, Ezzeldin, Nashed, Yaman Qoudra Danial, Hasan, Raslan, Rima, Salem, Mohammed Asaad Salem, Thabet Sayed Bakir, Manaf, Sharabaji, Majd Sheikh Alganameh, Duaa Sheikh Kadro, Joudy, Shurbatji, Mohammad Noor Sultan, Dana, Sultan, Hala, Swied, Bakri Tarras Jarkas, Tayf, Toutounji, Fadi, Ward, Rama, Zazo, Aya, Zazo, Zainab, Zeino, Mohamed, Alaktaa, Wael, Alsado, Hala, Fares, Nouran, Hawa, Hamza, Ibrahim, Abdulmonem, Kawas, Mourad, Niazi, Bayan, Toutounji, Mohammad, Abdow, Mohamad, Ahmad, Tareq, Ahmad, Rawan Al Azhar, Hiba Al Hage Diab, Rahaf Al Mulke, Mohammad, Al-Jadaan, Ahmad, Alhussein, Zahra, Alnajem, Omar, Alneser, Bayan, Alsaid, Elias, Azar, Lubna, Bakr, Ammar, Hamza, Yara, Houdifa, Sami, Jomaa, Samer, Kefo, Hiba, Mardini, Alaa, Mohammad, Fadi, Rayya, Fatima, Razzouk, Mohannad, Saleh, Anwar, Shamandi, Ammar Youzkatli Alkhatib, Omar Abdul Salam, Dany, Ajami, Mohammad, Alhamid, Ahmad, Alkhaledi, Danny, Hadidi, Massa, Jabra, Mamdouh, Kallas, Antoine, Laktine, Joelle, Naem, Naya, Naoum, Ghena Mohammed Fawaz Ashour, Ahmad, Alhouri, Deema, Fallouh, Ahmad, N Mohammad, Ahmad, Rmman, Ali, Slitin, Christine, Tanos, Ibrahim, Wakim, Hanaa, Zahrawi, Majd, Abouassi, Layth, Abouassi, Ayham, Aboutrab, Basel, Ahmad, Ahmad Mustafa Ahmad, Aya, Ahmad, Afaf, Ahmad, Mohamad, Alabras, Mohammad, Albasheer, Ola, Alkasser, Mhd Khaled Alkasser, Ali, Alkhdor, Marah, Azkoul, Mohammad Karam Chaaban, Haya, Deeb, Basel, Jazieh, Basel, Kouz, Youssef, Kozah, Raied, Mohamad, Ammar, Mohammad, Mhd Zied Nasri, Mohammed Mouaz Shebani, Mohammed, Shwin, Alaa, Sommaq, Amal, Youssef, Tala Al Asadi, Suhad, Alkhateb, Rasha Khalil Alsayyad, Roula, Altom, Mhd Amin Alzabibi, Batoul, Bakkar, Hlma, Ismail, Salma Khadem Alsrouji, Sara, Melhem, Mohamad, Sankari, Mosa, Shibani, Noura, Shujaa, Ibrahim, Adham, Salma, Al-Houssami, Maram, Balouli, Yazan, Rahmeh, Simon, Yanni, Sally, Yousef, Aline, Ahmad, Marah, Ali, Abdulrahman, Almjersah, Aya, Almoustafa, Hiba, Dahhan, Bashar Haj Hassan, Alaa, Hamdan, Salah, Hammed, Rawan, Harfoush, Rama, Hasan, Natalie, Jarkas, Moufid, Mahfoud, Ahmed, Moussa, Alaa, Sulaiman, Siba, Suliman, Yu-Ning, Hu, Jun-Neng, Roan, Meng-Ta, Tsai, Yi-Chen, Wang, Thammawat, Parakonthun, Nicha, Srisuworanan, Voraboot, Taweerutchana, Somcharoen, Saeteng, Sophon, Siwachat, Apichat, Tantraworasin, Danielle, Dimsoy, Shane, Khan, Akash, Ramsaroop, Shivanand, Ramsubhagh, Karim, Ayed, Oussama, Baraket, Mohamed Hedi Ghalloussi, Abbassi, Imed, Nahla, Kechiche, Waad, Farhat, Ammar, Houssem, Erdal Birol Bostanci, Volkan, Oter, Erol, Pişkin, Cihangir, Akyol, Sibel, Demirel, Mehmet Ali Koç, Can, Konca, Özge, Yanık, Basak, Bolukbasi, Huseyin, Gobut, Emre, Gülçek, Kerim, Karabulut, Ramazan, Kozan, Farshad, Noori, Elif, Özeller, Can, Şahin, Ali, Yalcinkaya, Mesut, Yavaş, Aydın, Yavuz, Utku, Akgor, Omer, Cennet, Hilmi Anil Dincer, Murat, Gultekin, Nazlı, Orhan, Mustafa, Oruç, Serdar, Culcu, Lütfi, Doğan, Cemil, Yüksel, Alp, Yildiz, Aybala, Yildiz, Perihan, Ekmekçi, Baturay Kansu Kazbek, Ülkü Ceren Köksoy, Deniz Serim Korkmaz, Zeynep Şahan Çetinkaya, Elif Aybeniz Yildirim, Hakan, Yilmaz, Metin, Yığman, Nasuh Utku Dogan, Selen, Doğan, Mehmet, Sakinci, Ozgen, Isik, Murat, Şen, Tuncay, Yılmazlar, Utku, Özgen, Ugur, Sungurtekin, Yener, Aydin, Ilker, Ince, Ali Bilal Ulas, Hüseyin Cahit Yalçın, Mehmet, Kaplan, Tuğba, Kaplan, Elif Tugce Kaplan, Afag, Aghayeva, Bilgi, Baca, Inci, Sahin, Zumrud, Aliyeva, Akif Enes Arikan, Erman, Aytac, Onur, Dülgeroğlu, Volkan, Ozben, Cihan, Uras, Emre, Sivrikoz, Ismail Ahmet Bilgin, Bahadır, Bozkırlı, Güralp Onur Ceyhan, Ismail, Hamzaoglu, Halil, Kara, Tayfun, Karahasanoğlu, Olus, Api, Mehmet, Ceyhan, Aylin Pelin Cil, Telce Aysen Gurbuz, Cumhur, B Lent Urman, Ahmet, Akbas, Yunus Emre Aktimur, Yuksel, Altinel, Fikret, Calikoglu, Serdar, 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Malaz, Abbakar, Vanessa, Badas, Radu, Chirvasuta, Joe, Drybrough, Alexandra, Hamshere, Annabelle, Harrison, Rebecca, Ireson, Nelson, Kamali, Abigail, Lau, Sumant, Luhana, Luisa, Macdonald, Barbara, Ribeiro, Alistair, Savage, Tanisha, Sharma, Paul, Swift, Rachel, Taute, Stephanie, Alford, Chase, Elswick, J Quentin Clemens, John Michael DiBianco, Anna, Faris, Mark, Hemmila, Giulia, I Lane, Lena, Napolitano, Jane, J Wong, Shelly, Abramowicz, Dina, Amin, Steven, Roser, Daniel, Beswick, Elisa, Birnbaum, Khaled, Campa, Carolyn, Chabuz, Brandon, Chapman, Nicole, Christian, Marco Del Chiaro, Adam, Dyas, Anna, Gergen, Anne, Getz, Ana, Gleisner, Ryan, Griffin, Laura, Harmon, Scott, Hirsch, Victoria, Huynh, Juan Pablo Idrovo, Laura, Leonard, Helen, Madsen, Robert, Mcintyre, Robert, Meguid, Kenny, Rodriguez, Richard, Schulick, Christopher, Scott, Lauren, Steward, Camille, Stewart, Malcolm, Su, Sarah, Tevis, Daniel, Thieu, Shane, Urban, Catherine, Velopulos, Jon, Vogel, Thomas, Vogler, Kristen, Vossler, Michael, Weyant, Franklin, Wright, Erika, Bengtson, Mary, Bokenkamp, Hannah, Chacon, W Drew Fielder, Alex, Haynes, Charlotte, Heron, Charles, Hill, Cole, Holan, Hannah, Kay, Brian, Kelley, Sabino, Lara, Kathryn, Mcelhinney, E Charles Osterberg, Sharmila, Paul, Christopher, Riley, Ayane, Rossano, Romil, Shah, Ifeoluwa, Shoyombo, Pooja, Srikanth, Pedro, Teixeira, Marc, Trust, Marian, Williams-Brown, Benjamin, Bigelow, Ijezie, Ikwuezunma, Amit, Jain, Harsha, Malapati, Ivy, Mannoh, Adam, Margalit, Sarah, Rapaport, Srikrishna Vangipuram Suresh, Dominique, Vervoort, Lekha, Yesantharao, Zhang, Bo, Hossam, Abdou, Megan, Anders, Jose, Diaz, Michael, Mazzeffi, Peter, Rock, Salim, Afshar, Andrea, Balthazar, Laura, Carlson, Karen, Carver, Michael, Kurtz, Craig, D McClain, Meena, Nathan, Caleb, Nelson, Nathalie, Roy, Rachel, Saunders, Amir, Taghinia, Vivian, Williams, Allison, Brown, Zara, Cooper, Joshua, Jolissaint, David, Mahvi, Barbara, Okafor, Chandrajit, Raut, Vanessa, Roxo, Ciersten, Burks, Allen, Zhou, Djanira, Fernandes, Maha, Haqqani, Nicolette, Jabbour, David, Novikov, Joseph, Sabra, Paul, Tornetta, Lauren, Tracy, Keianna, Vogel, Joanna, Wang, Shawn, Wang, Shaun, Wason, Emily, Berner, Ander Dorken Gallastegi, Mohamad El Moheb, Anthony, Gebran, Marilyn, Heng, Santiago Lozano Calderon, Michael, Mctague, Christopher, Melnic, Andy, Park, Anna, Goldenberg-Sandau, Rebecca, Platoff, Lisa, Shea, Debra, Manning, Romeeka, Perkins, Samuel, Ross, Kyle, Thompson, Grace, Chang, Dustin, Dehart, Jared, Ourieff, Rosalinda, Alvarado, Anuradha, Bhama, Daniel, Deziel, Amir, Dorafshar, Henry, Govekar, Brian, Gulack, Dana, Hayden, George, Kokosis, Andrea, Madrigrano, Keith, Millikan, Jonathan, Myers, Cristina, O'Donoghue, Philip, Omotosho, Sam, Pappas, Srikumar, Pillai, Thea, Price, Scott, Schimpke, Ami, Shah, Deana, Shenaq, Nicole, Siparsky, Alfonso, Torquati, Peter, Tsambarlis, Srinivas, Vourganti, Al-Faraaz, Kassam, Ralph, Quillin, Mauro, Bravo, Elyad, Ekrami, Kai, Li, Alparslan, Turan, Cassie, Decker, Elizabeth, A Hennessy, Thomas, Schroeppel, Zachery, Stillman, Gary, Schwartz, Salah, Aoun, James, Caruso, Clay, Burlew, Julie, Clark, Kendyll, Gartrelle, David, Kwon, Kristin, Colling, Andrew, Barbas, Raquel, Bartz, Sarah, K Dotters-Katz, Tressa, Ellett, Etienne, Flamant, Hesham, Gabr, Dilraj, Grewal, George, Kasotakis, David, Kerr, Vijay, Krishnamoorthy, Alexander, Lazarides, Justin, Ma, Sachin, Mehta, Lucy, Meyer, Courtney, Mitchell, Demetrios, Moris, Diego, Schaps, Zohal, Ghulam-Jelani, Motasem, Refaat, Torre, Soderlund, Amna, Ali, Airi, Katoh, Krista, Kaups, Leigh Ann O'Banion, Yazen, Qumsiyeh, Jessica, Simpkins-Fresno, Murad, Almasri, Gauri, Kulkarni, Hisham, Marwan, Mohammad, Mehdi, Rasaq, Olaosebikan, Camilo, Velasquez, Rodrigo, Arrangoiz, Jeronimo Garcialopez De Llano, Adrian, Legaspi, Maria Fernanda Mijares Olivo, Amit, Sastry, Vanitha, Vasudevan, Hector, Garcia-Chavez, Atif, Iqbal, Yesenia, Rojas-Khalil, Malke, Asaad, Charles, Butler, Cameron, Gaskill, Patrick, Hensley, Jose, Karam, Matthew, Katz, Huan, Nguyen, Alberto, Pieretti, Christina, L Roland, Perel, Baral, D David Beahm, German, Berbel, Andres, Bur, Shea, Carver, Austin, Findley, Christopher, A Guidry, Megan, Hedlund, Corey, Hounschell, Sean, Kumer, Kelsey, E Larson, Derek, Marlor, Madhuri, Reddy, Scott, Turner, Alissa, Urich, Alexander, Cavalea, Brian, Daley, Bailey, Humphreys, Rachel, Savoy, Mary, Leech, Andrew, Loehrer, Kari, Rosenkranz, Avi, Bhavaraju, Nolan, Bruce, Lyle, Burdine, Kyle, Kalkwarf, Mary, Kimbrough, Garrett, Klutts, Joseph, Margolick, Tamara, Osborn, Anna, Privratsky, Matthew, Roberts, Jennifer, Baker, Peyman, Benharash, Ronald, W Busuttil, Robert, B Cameron, Joseph, Dinorcia, Joseph, Hadaya, Farnaz, Haji, Lien, Hua-Feng, Catherine, Juillard, Minna, Lee, Garrett, Salzman, Gregory, Senofsky, Richard, J Shemin, Jeannie, Shen, Carlie, Thompson, Areti, Tillou, Elizabeth, Bruenderman, Samuel, Carson, Clayton, Ellis, Farid, Kehdy, Robert C, G Martin 2nd, Tyler, 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Batko, Anthony, Colon, Sofia, Gabrilovich, Carma, Goldstein, Christina, Gory, Janmejay, Hingu, Brian, Leoce, Anh, Nguyen, Guergana, Panayotova, Ruchi, Ram, Deviney, Rattigan, Jerette, Schultz, Sara, Solar, John, Stein, Grace, Tsui, Elizabeth, Warnack, Apostolos, Gaitanidis, Leon, Naar, Robert, Sinyard, Sophia, Angelides, Laura, Fitzmaurice, Alexander, Himstead, Mehraneh, Jafari, Zeljka, Jutric, Kari, Kansal, Lydia, Kirillova, Isabella, Kuo, Kapila, Patel, Erika Linmey Tay Lasso, Maki, Yamamoto, Maleeha, Ahmad, Steven, Chang, Gary Alan Bass, Benjamin, Braslow, Daniel, Dempsey, Caoimhe, Duffy, Daniel, Holena, Jonathan, Imran, John, Keogh, Cara, Lorenzi, Niels, Martin, Mark, Seamon, Lauren, Huckaby, Katrina, Morgan, Caroline, Rieser, Lauren, Rosenblum, Cindy, Teng, J Michael DiMaio, Mohanad, Hamandi, Mary, Hoffman, Allison, T Lanfear, Michael, Connolly, Benjamin, Hall, Tareq, Kheirbek, Elizabeth, Renaud, Kevin, Behm, Judy, Boughey, Kristin Cardiel Nunez, Sean, Cleary, Mihai, Dumbrava, Travis, Grotz, James, Jakub, Rahul, Kanade, David, Larson, Sherief, Shawki, Dennis, Wigle, Haradeen, Dhillon, Avni, Suri, Leonardo Weber Graeff, Ahmed, Elshabrawy, Grace Ihsiu Todd, Mark, Davies, Yan, Qi, Walter, Biffl, Kathryn, Schaffer, Sarah, Averbach, Terry, Curry, Alexandra, Schwartz, Mary Kathryn Abel, Veronica, Andaya, Kristina, Benirschke, Katherine, Bigay, Marissa, Boeck, Lee-Lynn, Chen, Lee-May, Chen, Huey-Lan, Chern, Amanda, Compadre, Patricia, Conroy, Alexa, Glencer, Patrick, Ha, Barbara Cs Hamilton, Johannes, R Kratz, Rondall, Lane, Rex, H Lee, Brenda, Nunez-Garcia, Richard, O'Donnell, Doruk, Ozgediz, Paul, Park, Ankit, Sarin, Ipsit, Shah, Bonnie, Sheu, Madhulika, Varma, Katherine, Wai, Rosanna, Wustrack, Mary Jue Xu, Melissa, Zimel, Pedro, Escobar, Meredid Maldonado Santiago, Mohammad, Azam, Asad, Choudhry, Eric, Hammond, William, Marx, Jihad, Abbas, Somya, Al-Embideen, Carol, Angel, Bailea, Bobich, Raul, Bosio, Gregory, Georgiadis, Tahir, Jamil, Maria, Kenner, Meghan, Lark, Tamara, Maghathe, Sonia, Masih, Gabriel, Naimy, Kristin, O'Mara-Gardner, Emily, Rady, Roberta, Redfern, Jack, Sample, Joseph, Sferra, Kaitlyn, Sharp, Jessica, Shoemaker, Stephen, Stanek, John, Stengle, Hibba, Sumra, Jeffrey, M Sutton, Faris, Azar, Anne, Fischer, Jaymie, Henry, Lawrence, Lottenberg, Mario, Rueda, Sasha, Thiel, Adel, Bozorgzadeh, John, Kelly, Armando Salim Munoz Abraham, Erin, Scott, Camila, Haro, Andrés, Pouy, Gastón, Acuña, Sofia, Álvarez, Ana Carmen Carbajal, Fabiola, Castedo, Diego, Pereiranuñez, Helena, Sobrero, Josefina, Tarigo, Rafat, Al-Saban, Fatima, Al-Eryani, Siham Al Maqtari, Sahar, Al-Maqtari, Mahmmoud, Abdualqader, Majed, Aeed, Ghadeer Al Sanany, Anwaar Al Dhafif, Buthina Al Jarmozi, Saba, Al-Ameri, Awsan, Al-Dhaheri, Dhyia Alhuq Al-Surimi, Amira, Alakhdury, Sabreen, Alashmali, Zainab, Alattas, Manar, Alduba'Ai, Hamdan, Aldumaini, Wafa, Alhaddad, Abdelrahman, Alharazi, Nawal, Alhemyari, Adnan, Alhumaida, Maniee, Aljabri, Hassan, Almarashi, Zuhoor, Almohanady, Marwa, Alodine, Nooraldin, Alqasemi, Basma, Alqudaimi, Ansam Mohammed Ghaleb Alrobaiee, Mohammed, Alsabri, Radfan, Alsalal, Ramzi, Alsayadi, Musaed, Alsayadi, Reem, Alshaipani, Ebrahim, Alsharabi, Nora, Atiah, Hadeel, Bajjah, Muhib, Esmael, Asma, Ghallab, Rana, Ghannam, Adwa'A, Hamid, Lina, Hashem, Sara, Saif, Shaima, Sayad, Nawras, Shaban, Amatallah Hadi Shamsan, Sarah, Shream, Amal, Shukri, Shahd, Zeid, Nabila, Abdullah, Abdulrahman Faisal Al-Garadi, Ahmed, M Ali Al-Radhi, Norhan, Naji, Shaima'A, Nasser, Areej Taha Al Anaib, Ebrahim, Abdurab, Fadhl Al Muhtadi, Amer, Al-Hebbah, Ahmed, Al-Madhrahi, Shehab, Al-Mahdi, Sakhr Abdulhakeem Al-Maswari, Ayman, Al-Oqabi, Zakarya Abdullah Al-Zaazaai, Karim, Al-Zazay, Ali, Alafif, Asem, Albzzaz, Lina, Alqalisi, Mohammed, Alrezami, Haneen, Alshargabi, Mokhtar, Alshargabi, Hossam, Ghanem, Kareem, Saeed, Rasheed, Shalabi, Fareed, Showqi, Miriam, Maimbo, Catherine, Mkandawire, Mulaya, Mubambe, Theresa, Nkole, Vanessa, Savopoulos, Patricia, Shinondo, Chabwera, Shumba, Penias, Tembo, Shelton, Chivanga, Ngqabutho, Dube, Handsome, Dube, Daniel, Dzinotyiwei, Ronald, Makanda, Moses, Mangena, Partson, Maphosa, Derek, Matsika, Proud, Mawere, Nkosikhona, Moyo, Assel, Moyo, Arnold, Muguwu, Simbarashe, Mungazi, Garikai, Mwale, Gamuchirai, Ndabvonga, Mambote Crispin Olivier Ntoto, Hardlife, Ranganai, Ernesto Sánchez Castillo, Oltah, Tshuma, Grace, Gwini, Vimbai Moyana Muguto, Gilbert, Moyo, Trust, Mushawarima, Tinashe, Shoko, Rorisang, Jamela, Marvellous, Machiri, Eric, Shumba, Antony, Chengahomwe, Yemurai, Bikwa, Maxwell, Chimhina, Jeremy, Marume, Kudzayi, Munanzvi, Precious G, T Mutambanengwe, Federico, Ferrari, Marco, Fontanella, Franco, Odicino, Romano, Vito, Nepogodiev D, Emanuele Cammarata, Sofia Campanella, Daniela Canzonieri, Adriana Cordova, Federico De Michele, Ettore Dinoto, Mara Franza, Leo Licari, Daniele Matta, Domenico Mirabella, Felice Pecoraro, Roberto Pirrello, Pierfrancesco Pugliese, Fernando Rosatti, Giuseppe Salamone, Francesca Toia, Massimiliano Tripoli, Nepogodiev, D, Rosati, R, Surgery, Medicine and Pharmacy academic/administration, Basic (bio-) Medical Sciences, Surgical clinical sciences, Faculty of Medicine and Pharmacy, Gastroenterology, Medical Oncology, Clinical sciences, Breda, João, ARD - Amsterdam Reproduction and Development, Paediatric Surgery, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, AGEM - Endocrinology, metabolism and nutrition, Graduate School, Tytgat Institute for Liver and Intestinal Research, Laura Alberici, Filippo Antonacci, Alessandro Arena, Angela Belvedere, Fabio Bernagozzi, Paolo Bernante, Pietro Bertoglio, Lorenzo Bianchi, Maria Bisulli, Barbara Bonfanti, Safia Boussedra, Jury Brandolini, Crescenzo Cacciapuoti, Stefano Cardelli, Riccardo Casadei, Matteo Cescon, Alessandro Cipolli, Riccardo Cipriani, Alfredo Conti, Luca Contu, Francesco Costa, Niccolo’ Daddi, Eugenia De Crescenzo, Pierandrea De Iaco, Alessandra De Palma, Massimo Del Gaudio, Anna Nunzia Della Gatta, Giampiero Dolci, Giulia Dondi, Matteo Droghetti, Sergio Nicola Forti Parri, Elena Garelli, Chiara Gelati, Giuliana Germinario, Federico A. Giorgini, Carlo Ingaldi, Elio Jovine, Kenji Kawamukai, Antonio Lanci Lanci, Raffaele Lombardi, Maria Elisa Lozano Miralles, Claudio Marchetti, Michele Masetti, Francesco Minni, Daniele Morezzi, Daniele Parlanti, Alice Pellegrini, Anna Myriam Perrone, Anna paola Pezzuto, Marco Pignatti, Gianluigi Pilu, Valentina Pinto, Gilberto Poggioli, Silvana Bernadetta Puglisi, Diego Raimondo, Matteo Ravaioli, Claudio Ricci, Sara Ricciardi, Francesco Ricotta, Roberta Rizzo, Angela Romano, Matteo Rottoli, Riccardo Schiavina, Renato Seracchioli, Matteo Serenari, Margherita Serra, Piergiorgio Solli, Gioia Sorbi, Mario Taffurelli, Marta Tanzanu, Achille Tarsitano, Marco Tesei, Gabriele Vago, Tommaso Violante, Simone Zanotti, Tommaso Frisoni, leonardo solaini, giorgio ercolani, Fruscio, R, Ornaghi, S, Collaborative, Covidsurg, Collaborative, Globalsurg, Palmisano, Silvia, de Manzini, Nicolo', Žundienė, Laura, Dulskas, Audrius, Kuliavas, Justas, Čekauskas, Albertas, Kielaitė-Gulla, Aistė, Poškus, Tomas, Strupas, Kęstutis, Želvys, Arūnas, COVIDSurg Collaborative, GlobalSurg Collaborative, Department of Surgery, HUS Abdominal Center, Simoes, Jff, Li, E, Picciochi, M, Glasbey, Jc, Baiocchi, G, Blanco-Colino, R, Chaudhry, D, Alameer, E, El-Boghdadly, K, Wuraola, F, Ghosh, D, Gujjuri, Rr, Harrison, Em, Lule, H, Kaafarani, H, Khosravi, M, Kronberger, I, Leventoglu, S, Mann, H, Mclean, Ka, Mengistu, Gm, Modolo, Mm, Ntirenganya, F, Norman, L, Outani, O, Pius, R, Pockney, P, Qureshi, Au, Roslani, Ac, Satoi, S, Shaw, C, Bhangu, A, Omar, Om, Ahmed, Wur, Argus, L, Ball, A, Bywater, Ep, Brar, A, Dawson, Be, Duran, I, Elhadi, M, Jones, C, Kamarajah, Sk, Keatley, Jm, Lawday, S, Marson, Ej, Ots, R, Santos, I, Taylor, Eh, Trout, Im, Varghese, C, Venn, Ml, Xu, W, Dajti, I, Gjata, A, Kacimi, Seo, Boccalatte, L, Cox, D, Townend, P, Aigner, F, Kronberger, Ie, Samadov, E, Alderazi, A, Hossain, K, Padmore, G, van Ramshorst, G, Lawani, I, Cerovac, A, Delibegovic, S, Gomes, Gma, Buarque, Il, Gohar, M, Slavchev, M, Nwegbu, C, Agarwal, A, Martin, J, Ng-Kamstra, J, Olivos, M, Lou, Wh, Ren, Dl, Calvache, Ja, Rivera, Cjp, Hadzibegovic, Ad, Kopjar, T, Mihanovic, J, Jimenez, Pma, Gouvas, N, Klat, J, Novysedlak, R, Amisi, N, Christensen, P, El-Hussuna, A, Batista, S, Lincango-Naranjo, E, Emile, S, Sandoval, Daa, Dhufera, H, Hailu, S, Mengesha, Mg, Kauppila, Jh, Arnaud, Ap, Demetrashvili, Z, Albertsmeier, M, Lederhuber, H, Loffler, Mw, Acquah, Dk, Ofori, B, Tabiri, S, Metallidis, S, Tsoulfas, G, Aguilera-Arevalo, Ml, Recinos, G, Mersich, T, Wettstein, D, Kembuan, G, Milan, Pb, Khosravi, Mh, Mozafari, M, Hilmi, A, Mohan, H, Zmora, O, Gallo, G, Pata, F, Pellino, G, Fujimoto, Y, Kuroda, N, Abou Chaar, Mk, Ayasra, F, Fakhradiyev, I, Hamdun, Ih, Jin-Young, J, Jamal, M, Karout, L, Gulla, A, Rasoaherinomenjanahary, F, Samison, Lh, Sanchez, Iid, Gonzalez, D, Martinez, L, Martinez, Mj, Nayen, A, and Ramos-De la Medina, A
Subjects: Male, Vascular damage Radboud Institute for Health Sciences [Radboudumc 16], MULTICENTER, infectious diseases, 0302 clinical medicine, 030202 anesthesiology, Anesthesiology, Cirugía, 80 and over, Prospective Studies, Young adult, Child, Lung, Aged, 80 and over, COVID-19, delay, SARS-CoV-2, surgery, timing, SARS‐CoV‐2 infection, Operative, Child, Preschool, Pneumonia & Influenza, Infection, Cohort study, Human, medicine.medical_specialty, Clinical Sciences, Sars-cov-2, GlobalSurg Collaborative, Settore MED/28 - MALATTIE ODONTOSTOMATOLOGICHE, 03 medical and health sciences, Clinical Research, Biodefense, Correspondence, Humans, PULMONARY COMPLICATIONS, CRIANÇAS EM IDADE PRÉ-ESCOLAR, Aged, Science & Technology, Cirurgia, Prevention, Infant, Odds ratio, Pneumonia, Prospective Studie, Clinical research, Surgery, Human medicine, 610 Medizin und Gesundheit, 1109 Neurosciences, Internationality, Settore MED/29 - CHIRURGIA MAXILLOFACCIALE, Settore MED/18 - CHIRURGIA GENERALE, Adolescent, Adult, Cohort Studies, Female, Middle Aged, Surgical Procedures, Operative, Time, Young Adult, Practice Guidelines as Topic, gastroenterology, Medicine and Health Sciences, 030212 general & internal medicine, Prospective cohort study, Mortality rate, Covid19, Infectious Diseases, Patient Safety, medicine.symptom, 6.4 Surgery, Life Sciences & Biomedicine, 610 Medicine & health, COVID-19, SARS-CoV-2, delay, surgery, timing, Asymptomatic, NO, COVIDSurg Collaborative, Vaccine Related, All institutes and research themes of the Radboud University Medical Center, medicine, Mortalitat, ddc:610, Mortality, Preschool, LS7_4, Surgical Procedures, business.industry, Neurosciences, Evaluation of treatments and therapeutic interventions, 1103 Clinical Sciences, 3126 Surgery, anesthesiology, intensive care, radiology, Reconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10], Anesthesiology and Pain Medicine, Emerging Infectious Diseases, Good Health and Well Being, Mortalidad, Cohort Studie, business
Abstract: Peri-operative SARS-CoV-2 infection increases postoperative mortality. The aim of this study was to determine the optimal duration of planned delay before surgery in patients who have had SARS-CoV-2 infection. This international, multicentre, prospective cohort study included patients undergoing elective or emergency surgery during October 2020. Surgical patients with pre-operative SARS-CoV-2 infection were compared with those without previous SARS-CoV-2 infection. The primary outcome measure was 30-day postoperative mortality. Logistic regression models were used to calculate adjusted 30-day mortality rates stratified by time from diagnosis of SARS-CoV-2 infection to surgery. Among 140,231 patients (116 countries), 3127 patients (2.2%) had a pre-operative SARS-CoV-2 diagnosis. Adjusted 30-day mortality in patients without SARS-CoV-2 infection was 1.5% (95%CI 1.4-1.5). In patients with a pre-operative SARS-CoV-2 diagnosis, mortality was increased in patients having surgery within 0-2 weeks, 3-4 weeks and 5-6 weeks of the diagnosis (odds ratio (95%CI) 4.1 (3.3-4.8), 3.9 (2.6-5.1) and 3.6 (2.0-5.2), respectively). Surgery performed ≥ 7 weeks after SARS-CoV-2 diagnosis was associated with a similar mortality risk to baseline (odds ratio (95%CI) 1.5 (0.9-2.1)). After a ≥ 7 week delay in undertaking surgery following SARS-CoV-2 infection, patients with ongoing symptoms had a higher mortality than patients whose symptoms had resolved or who had been asymptomatic (6.0% (95%CI 3.2-8.7) vs. 2.4% (95%CI 1.4-3.4) vs. 1.3% (95%CI 0.6-2.0), respectively). Where possible, surgery should be delayed for at least 7 weeks following SARS-CoV-2 infection. Patients with ongoing symptoms ≥ 7 weeks from diagnosis may benefit from further delay. ispartof: ANAESTHESIA vol:76 issue:6 pages:748-758 ispartof: location:England status: published
Published: 2021

48. IoT-Smart Surgical System Treatment to Augment Safety for Hospital Management.

Author: Sangeetha, A., Rajathi, S. Anitha, P., Josephin Sharmila, Berlin, M. A., and Srinivasan, V. Prasanna
Subjects: *HOSPITAL administration, *INTERNET of things, *CHATBOTS, *ACCESS to information, *INFORMATION retrieval
Abstract: Based on the smart IoT, an intelligent surgical reporting system was created and implemented. The adoption of the system to write and retrieve data by health care staff saves time spent preparing forms and lowers the occurrence of mistakes, consequently enhance patient outcomes and care quality. Furthermore, this method enables all of the gathered information during the procedure to be accurately preserved and disseminated. This approach also reduced the cost of printing surgical record sheet and health-care record sheets and may be utilised as a knowledge repository for future procedures. The surgical information will save health care staff' time by constantly storing their personal information. In order to facilitate access to the information we have also used the voice-based information access. A chat bot is also trained on the surgical data which aids as a knowledge base on the surgeries. [ABSTRACT FROM AUTHOR]
Published: 2022

49. Under Ground Cable Fault Detection Using Machine Learning Algorithm

Author: P.I.D.T. Baladuraikannan, D. Pandiaraj, P. Anitha, and S. Anitha
Subjects: Machine learning algorithm, ARDUINO controller, load sensor, IOT
Abstract: In this project work is to detect the location of fault in underground cable lines from the base station in km using an ARDUINO controller and also a Machine Learning Algorithm. The concept uses in this paper is Ohm’s law which states that current flow through the cable depends on the length of fault occur in the cable. The prototype is modeled with a set of load sensors representing cable length in km and fault creation is made by a load sensor at every known distance to cross check the accuracy of the same. In case of fault, the voltage across load sensor changes accordingly, which is then fed to a programmed ARDUINO that further displays fault location in distance. The fault occurring distance, phase, and time is displayed on LCD. IOT is used to display the location information over Internet using GSM MODULE., {"references":["1.\tKalia R.R., Abrol P. Design and implementation of wireless live wire fault detector and protection in remote areas. EEE. 2014, 97(17)","2.\tClegg B. Underground Cable Fault Location. New York: McGraw- Hill. 1993.","3.\tChoi M.S., Lee D.S., Yang X. A line to ground fault location algorithm for underground cable system. KIEE Trans. Power Eng. Jun. 2005, 267–273p.","4.\tBascom E.C. Computerized underground cable fault location expertise. In Proc. IEEE Power Eng. Soc. General Meeting, Apr. 10–15, 1994, 376–382p.","5.\tMaxwell L.C. A Treatise on Electricity and Magnetism, Oxford: Clarendon, 1892, 3(2), 68–73p."]}
Published: 2020
Full Text: View/download PDF

50. Photoinduced hinge-like molecular motion: studies on xanthene-based cyclic azobenzene dimers

Author: Nagamani, S. Anitha, Norikane, Yasuo, and Tamaoki, Nobuyuki
Subjects: Azo compounds -- Atomic properties, Azo compounds -- Chemical properties, Benzene -- Atomic properties, Benzene -- Chemical properties, Biological sciences, Chemistry
Abstract: The synthesis, X-ray crystal analysis, photochemical and thermal studies of a xanthene based cyclic azobenzene dimer and its precursor is described. The X-ray crystal structures of the trans-trans isomer (open) and the cis-cis isomer (closed) provide unambiguous proof for the hinge-like molecular motion in the class of molecules.
Published: 2005

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