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Comparing polymer matrix composites with conventional composites, such as continuous fiber-reinforced composites, shows a considerable increase in strength and fracture toughness. In this study, compression molding was used to create hybrid (carbon and silk fabric-reinforced) and carbon fabric-reinforced epoxy matrix composites using a hand layup process. This article discusses the evaluated flexural strength (FS) and plane strain Mode-I fracture toughness of composite materials. The impact of carbon fabric reinforcement on the fracture toughness of these composites was assessed using the obtained results. It was found that the addition of silk fabric reinforcement decreased the hybrid composite’s plane strain Mode-I fracture toughness. Fracture toughness and FS are higher in carbon fabric-reinforced composite than in hybrid composite.

Background: The cardiovascular disease (CVD) risk prediction charts, updated by the World Health Organization for 21 regions in 2019. These charts—lab and non-lab versions—estimate a person’s overall CVD risk; the non-lab version is intended for low-resource environments. Objectives: Using the “non-lab” and “lab” versions of the WHO CVD risk prediction charts, we sought to estimate the burden of ten-year risk of a fatal or non-fatal CVD event in a tertiary care hospital of Puducherry and to assess the agreement between them. Materials and Methods: We included 255 doctors working in a tertiary care hospital in Puducherry. Age, gender, systolic blood pressure, and smoking status are all factors used in both charts. Moreover, a lab chart requires a person’s total cholesterol and diabetes mellitus status, whereas a non-lab chart requires a person’s body mass index. Proportions (95% confidence intervals) were used to portray the population at various CVD risk levels. Using Cohen’s Kappa, the degree of agreement between the lab and non-lab charts was assessed (k). Results: The majority of the study participants had 20% in both the charts, which shows the better health-seeking behaviour of doctors. A good level of agreement was shown by the 95.2% (95%CI = 91.7 – 97.4 ) concordance in the risk categorization between the two charts (k = 0.934). Conclusion: When data are available and there is strong agreement between non-lab and lab-based charts, it is practical to apply WHO-updated CVD risk prediction charts.

Abstract Background: Follicle-stimulating hormone receptor (FSHR) and luteinizing hormone/choriogonadotropin receptor (LHCGR) are integral to ovarian function, facilitating follicle development and maturation through their respective hormonal interactions. The influence of receptor polymorphisms on the outcomes of freeze-all cycles remains unclear. Objective: This study investigates the impact of FSHR N680S and LHCGR N312S polymorphisms on clinical outcomes in freeze-all cycles. Materials and Methods: Women undergoing controlled ovarian stimulation for assisted reproductive technology participated in this study. They were administered a gonadotropin-releasing hormone antagonist protocol, with recombinant follicle-stimulating hormone (rFSH) dosages adjusted according to age, body mass index, antral follicle count, and individual hormonal responses. Additionally, human menopausal gonadotropin dosages were tailored based on the LHCGR N312S genetic variant. Results: Analysis revealed no significant differences in age, body mass index, antral follicle count, or marital status across the genotypes of FSHR N680S and LHCGR N312S. However, notable differences were observed in the rFSH dosage required daily and in total among the FSHR polymorphism genotypes. Genotypes of the LHCGR polymorphism correlated with fewer stimulation days. A significant interaction was observed between the 2 polymorphisms concerning total rFSH dosage. Conclusion: The presence of serine in the FSHR polymorphism was associated with higher rFSH dosage requirements. Both FSHR N680S and LHCGR N312S polymorphisms significantly influenced clinical pregnancy and live birth outcomes in freeze-all cycles, underscoring the potential of a pharmacogenomic approach to optimize hormone supplementation in controlled ovarian stimulation protocols during assisted reproductive technology treatments.

Aim: Arthritis is a degenerative condition characterized by the progressive deterioration of the knee joint, leading to aches, rigidity, and decreased mobility. Total knee arthroplasty (TKA) surgery is performed to alleviate pain for restoring activity in these patients. TKA is carried out due to natural wear of the cartilage and meniscus or by sudden impact at the knee joint area. The surgical procedure involves careful planning, precise bone cuts, and insertion of artificial components made of metal alloys and high-density polyethylene. However, conventional manufacturing of customized knee implants involves time and cost. This work aims to present the application of three-dimensional (3D) printing for developing individualized knee implants for TKA and the challenges faced during it. Methods: Morphometry of the knee joint varies among different populations, including Indian and Western, which pose challenges during the surgery as accurate alignment and implant sizing are crucial for optimal outcomes. A female patient’s pre-surgery computed tomography (CT) scan is considered to identify the disease and to find region of interest (ROI) such as knee joint. Process involves converting scanned data to a file format for 3D printing via computer-aided design (CAD). Results: The patient’s CT scan data is processed to obtain the CAD models of knee joint and standard triangulation language (STL) file. Additional geometries and noise present near the region are removed to get ROI. Open loops and overlapping triangles are rectified in the STL file. Based on the morphometry of the bone, resection is done to obtain the CAD models of knee implants. 3D printing of the knee joint and implant prototypes is then obtained using fused deposition modelling (FDM). Line layers on the printed implant prototype are seen. Conclusions: Patient-specific 3D printed knee joint implant prototypes are successfully obtained using FDM. Challenges faced during the work are successfully worked out.

Abstract The rising risk of diabetes, particularly in emerging countries, highlights the importance of early detection. Manual prediction can be a challenging task, leading to the need for automatic approaches. The major challenge with biomedical datasets is data scarcity. Biomedical data is often difficult to obtain in large quantities, which can limit the ability to train deep learning models effectively. Biomedical data can be noisy and inconsistent, which can make it difficult to train accurate models. To overcome the above-mentioned challenges, this work presents a new framework for data modeling that is based on correlation measures between features and can be used to process data effectively for predicting diabetes. The standard, publicly available Pima Indians Medical Diabetes (PIMA) dataset is utilized to verify the effectiveness of the proposed techniques. Experiments using the PIMA dataset showed that the proposed data modeling method improved the accuracy of machine learning models by an average of 9%, with deep convolutional neural network models achieving an accuracy of 96.13%. Overall, this study demonstrates the effectiveness of the proposed strategy in the early and reliable prediction of diabetes.

Masonry is the oldest building material, yet it is also the least understood due to the non-linear and composite nature of masonry, which consists of brick units, mortar, and unit-mortar contact. In this paper, the response of a two-dimensional masonry wall with a window opening subjected to an in-plane lateral pushover loading is simulated by varying the interface properties of brick such as crushing, elastic, cracking, and shear properties. The simplified micro-modeling technique with the Engineering Masonry model for bricks and linear stiffness properties for the interfaces in the bed and head joints is employed to investigate the geometric nonlinear behavior of the masonry wall. The pushover curves obtained from the numerical simulations indicate that there is a significant influence on the lateral load response of the wall due to elastic, crushing, and shear parameters while the cracking parameters have less impact on the ductile capacity of the structure. Moreover, the study is also extended to examine the effect of bond patterns such as English, Stretcher, Flemish, and Header bond with varied aspect ratios of 1,1.5 and 0.75. In all four bond patterns, it was observed that the walls with lower aspect ratios exhibited higher strength. Further, in comparison to the other bond patterns, walls with the Flemish bond pattern demonstrated higher strengths at both lower and higher aspect ratios.

Background: Effective communication between doctor-patient is essential to provide high-quality health care. The introduction of communication skills is a promising step at an undergraduate level by National Medical Commission (NMC) that improve students’ attitude towards patient care. Objectives: The study objective was to assess the student’s attitude and their perception towards learning communication skills. Methods: A total of 122 students participated in the study who were pursuing second-year MBBS in a Medical college located in Telangana State. A Questionnaire related to attitude towards Communication Pharmacology (Communication Skills Attitude Scale), their interest in the topic of choice and reason for their interest in communication pharmacology was given. Using the Likert scale, scores were given ranging from 13 to 65 and the median values of responses were taken for positive and negative attitudes. Results: The study results showed that the median value of positive response for girls was 56 and for boys was 52 whereas for a negative response was 25 and 27 respectively. There was no significant (p>0.05) difference was observed in the tested groups. The majority of the students opted for empathy-related communication skills as their interest (30.33%) and opined that it will help to build future communication skills (31.33%). Conclusion: It was concluded that students have a more positive attitude towards communication pharmacology and girls have shown more interest in these types of skills.

Labor trafficking in marijuana production remains a concealed epidemic within the expanding cannabis industry. This abstract brings attention to the systemic exploitation of vulnerable individuals engaged in cultivating, harvesting, and processing cannabis. It explores the factors contributing to labor trafficking, including demand for cheap labor, inadequate regulation, and the vulnerability of the workforce. By compiling published cases, both in peer-reviewed literature and the media, this perspective piece investigates the extent of health issues experienced by labor-trafficked victims. These include chronic pain from repetitive tasks, respiratory problems due to exposure to pesticides and other toxic substances, musculoskeletal injuries, malnutrition, and mental health disorders stemming from trauma and extreme stress. Additionally, this perspective article examines the factors contributing to poor health outcomes of labor-trafficked victims, including hazardous working conditions, lack of access to healthcare, and physical and psychological abuse. Addressing the health challenges faced by labor-trafficked victims in the cannabis industry requires multidimensional solutions: awareness among healthcare providers, comprehensive medical services, and mental health support. Furthermore, collaborative efforts among government agencies, healthcare providers, labor organizations, and the cannabis industry are essential in preventing trafficking and addressing the health disparities faced by labor-trafficked victims.

Introduction: Tuberculous meningitis remains the most severe and devastating form of tuberculosis with relatively severe morbidity and mortality. Risk factors for TB meningitis have not focused on the role of the BCG vaccine or social and food insecurity which are known to have a role in pulmonary TB. Methods: We prospectively conducted a Case-Control study among 65 patients with TB meningitis and 41 controls with other forms of meningitis. We evaluated the role of the BCG vaccine, the Household Food Insecurity Access Scale (HFIAS) and the Social Readjustment Rating Scale (SRRS) to look for food and social stress respectively. We also evaluated the known risk factors for TB meningitis including age, HIV co-infection, alcoholism, malignancies, use of immunosuppression, head injury among others. A bivariate followed by multivariate regression analysis was performed. Results: The presence of BCG scar was seen in 64.6 percent of patients with Tuberculous meningitis and 61.0 percent of control (P= 0.71). There was no difference in the size of the scars (P= 0.45) . Household food insecurity using the Household Food Insecurity Access Scale (HFIAS) ( a positive answer in any of the 9 items) was present in 16.9% of the patients in the TBM group and in 14.6% of the patients in the control group. (P= 0.75). Social stress assessed using the Social Readjustment Rating Score (< 150 suggest no social stress, 150 – 300 moderate social stress,> 300 high social stress) showed that a majority of the patients in both the groups reports no social stress. Only 9.8% of patients in the TBM group and 18.5% in the control group reports moderate presence of social stress whereas none of the patients had severe social stress. Logistic regression analysis suggested that only higher BMI was associated with lesser incidence of Tuberculous meningitis, odds ratio 0.83 (95% confidence interval of 0.73 – 0.930) and individuals performing clerical and unskilled and under-skilled jobs- odds ratio 0.13 (95% confidence interval of 0.02 – 0.93) had lower risk for TB Meningitis. Conclusions: In our sample of TB meningitis patients the BCG vaccine, food insecurity nor social stress appear to be risk factors. Bigger BMI and certain occupations appear to be possibly protective.

Abstract Symptoms-based detection of SARS-CoV-2 infection is not a substitute for precise diagnostic tests but can provide insight into the likely level of infection in a given population. This study uses symptoms data collected in the Global COVID-19 Trends and Impact Surveys (UMD Global CTIS), and data on variants sequencing from GISAID. This work, conducted in January of 2022 during the emergence of the Omicron variant (subvariant BA.1), aims to improve the quality of infection detection from the available symptoms and to use the resulting estimates of infection levels to assess the changes in vaccine efficacy during a change of dominant variant; from the Delta dominant to the Omicron dominant period. Our approach produced a new symptoms-based classifier, Random Forest, that was compared to a ground-truth subset of cases with known diagnostic test status. This classifier was compared with other competing classifiers and shown to exhibit an increased performance with respect to the ground-truth data. Using the Random Forest classifier, and knowing the vaccination status of the subjects, we then proceeded to analyse the evolution of vaccine efficacy towards infection during different periods, geographies and dominant variants. In South Africa, where the first significant wave of Omicron occurred, a significant reduction of vaccine efficacy is observed from August-September 2021 to December 2021. For instance, the efficacy drops from 0.81 to 0.30 for those vaccinated with 2 doses (of Pfizer/BioNTech), and from 0.51 to 0.09 for those vaccinated with one dose (of Pfizer/BioNTech or Johnson & Johnson). We also extended the study to other countries in which Omicron has been detected, comparing the situation in October 2021 (before Omicron) with that of December 2021. While the reduction measured is smaller than in South Africa, we still found, for instance, an average drop in vaccine efficacy from 0.53 to 0.45 among those vaccinated with two doses. Moreover, we found a significant negative (Pearson) correlation of around − 0.6 between the measured prevalence of Omicron in several countries and the vaccine efficacy in those same countries. This prediction, in January of 2022, of the decreased vaccine efficacy towards Omicron is in line with the subsequent increase of Omicron infections in the first half of 2022.

Devices referred to as FACTS are utilized extensively in the process of making power system more secure. The UPFC, which contains both shunt and series correction, is one of the FACTS devices that is considered to be among the most successful. The placement of the FACTS device and the values that are selected for its parameters both have a role in determining how successful the device is in reducing security risks. In this study, the ACO approach is presented as a means of optimally positioning UPFC in order to improve the consistency of the power system in the occurrence of single contingencies, also known as an N-1 contingency. In order to guarantee the integrity of the system, the simulation is run on test systems based on the IEEE 6 bus and the IEEE 14 bus, taking into account line overloads and voltage destructions on the bus. This strategy has a two-pronged approach. In the beginning, a N-1 contingency test is carried out based on the severity ranking, and after that, an ACO algorithm is used to install UPFC in the ideal location in order to reduce the severity. In order to further verify the suggested method, the results are matched with the traditional NLP-IP method. This comparison reveals that the new strategy is better in terms of assuring the safety of power systems.

During B cell development in bone marrow, large precursor B cells (large Pre-B cells) proliferate rapidly, exit the cell cycle, and differentiate into non-proliferative (quiescent) small Pre-B cells. Dysregulation of this process may result in the failure to produce functional B cells and pose a risk of leukemic transformation. Here, we report that AT rich interacting domain 5B (ARID5B), a B cell acute lymphoblastic leukemia (B-ALL) risk gene, regulates B cell development at the Pre-B stage. In both mice and humans, we observed a significant upregulation of ARID5B expression that initiates at the Pre-B stage and is maintained throughout later stages of B cell development. In mice, deletion of Arid5b in vivo and ex vivo exhibited a significant reduction in the proportion of immature B cells but an increase in large and small Pre-B cells. Arid5b inhibition ex vivo also led to an increase in proliferation of both Pre-B cell populations. Metabolic studies in mouse and human bone marrow revealed that fatty acid uptake peaked in proliferative B cells then decreased during non-proliferative stages. We showed that Arid5b ablation enhanced fatty acid uptake and oxidation in Pre-B cells. Furthermore, decreased ARID5B expression was observed in tumor cells from B-ALL patients when compared to B cells from non-leukemic individuals. In B-ALL patients, ARID5B expression below the median was associated with decreased survival particularly in subtypes originating from Pre-B cells. Collectively, our data indicated that Arid5b regulates fatty acid metabolism and proliferation of Pre-B cells in mice, and reduced expression of ARID5B in humans is a risk factor for B cell leukemia.

Relative benefits over traditional manufacturing processes have made fused deposition modeling (FDM)-based 3D printing as prevalent among various fields and sectors. However, the mechanical traits of 3D-printed FDM parts are still a matter of research that primarily depends upon the material used. In addition to acrylonitrile butadiene styrene (ABS) material, another sustainable polymer used in the FDM is polylactic acid (PLA). This study evaluated the compressive strength of 3D-printed PLA specimens consistent with ASTM D695 standard. The test specimens were simulated in ANSYS software to assess the compression strength and deformation of the specimens. Five ASTM specimens were additively manufactured on a Makerbot printer with a 0.3 mm layer resolution, 100% infill rate, 215°C extrusion temperature and standard build speed. The specimens were conditioned in line with ASTM D695 standard. The compressive strengths of the specimens measured on a universal testing machine were correlated with the simulated results. The compressive strength of the specimens was found to be close to the standard strength.

In general, the industries utilize more rotating machines and the efficient functioning of these machines is vital for the smooth operation of industrial processes. Further, the detection and identification of motor issues in a timely manner is crucial to prevent unexpected downtime and expensive repairs. In this work, a novel approach is proposed to monitor and assess the condition of motors in real-time by analyzing the environmental parameters using sensors which are capable of measuring temperature and humidity, to gather data about the operating environment of motors in industrial settings. Also, by continuously monitoring these environmental factors, deviations from optimal conditions can be detected, allowing for proactive maintenance actions to be taken. The proposed system consists of a network of temperature and humidity sensors strategically placed in proximity to the motors being monitored. Further, these sensors collect temperature and humidity data at regular intervals and transmit them to an Internet of Things (IoT) cloud platform. Finally, the data are analyzed using a fuzzy logic decision-making algorithm and are compared against predefined threshold values to determine if the motor is operating within acceptable conditions. This work appears to be of high industry relevance since automated notifications or alerts are to be sent to maintenance personnel when abnormal conditions are detected.

Alcoholic fatty liver disease (AFLD) is characterized by lipid accumulation and inflammation and can progress to cirrhosis and cancer in the liver. AFLD diagnosis currently relies on histological analysis of liver biopsies. Early detection permits interventions that would prevent progression to cirrhosis or later stages of the disease. Herein, we have conducted the first comprehensive time‐course study of lipids using novel state‐of‐the art lipidomics methods in plasma and liver in the early stages of a mouse model of AFLD, i.e., Lieber‐DeCarli diet model. In ethanol‐treated mice, changes in liver tissue included up‐regulation of triglycerides (TGs) and oxidized TGs and down‐regulation of phosphatidylcholine, lysophosphatidylcholine, and 20‐22‐carbon‐containing lipid‐mediator precursors. An increase in oxidized TGs preceded histological signs of early AFLD, i.e., steatosis, with these changes observed in both the liver and plasma. The major lipid classes dysregulated by ethanol play important roles in hepatic inflammation, steatosis, and oxidative damage. Conclusion: Alcohol consumption alters the liver lipidome before overt histological markers of early AFLD. This introduces the exciting possibility that specific lipids may serve as earlier biomarkers of AFLD than those currently being used.

Abstract Bacteria-mediated cancer-targeted therapy is a novel experimental strategy for the treatment of cancers. Bacteria can be engineered to overcome a major challenge of existing therapeutics by differentiating between malignant and healthy tissue. A prerequisite for further development and study of engineered bacteria is a suitable imaging concept which allows bacterial visualization in tissue and monitoring bacterial targeting and proliferation. Optoacoustics (OA) is an evolving technology allowing whole-tumor imaging and thereby direct observation of bacterial colonization in tumor regions. However, bacterial detection using OA is currently hampered by the lack of endogenous contrast or suitable transgene fluorescent labels. Here, we demonstrate improved visualization of cancer-targeting bacteria using OA imaging and E. coli engineered to express tyrosinase, which uses L-tyrosine as the substrate to produce the strong optoacoustic probe melanin in the tumor microenvironment. Tumors of animals injected with tyrosinase-expressing E. coli showed strong melanin signals, allowing to resolve bacterial growth in the tumor over time using multispectral OA tomography (MSOT). MSOT imaging of melanin accumulation in tumors was confirmed by melanin and E. coli staining. Our results demonstrate that using tyrosinase-expressing E. coli enables non-invasive, longitudinal monitoring of bacterial targeting and proliferation in cancer using MSOT.

Objective: Adipose tissue is the largest endocrine organ. When activated by cancer cells, adipocytes secrete adipocytokines and release fatty acids, which are then transferred to cancer cells and used for structural and biochemical support. How this metabolic symbiosis between cancer cells and adipocytes affects skeletal muscle and thermogenesis during cancer cachexia is unknown. Cancer cachexia is a multiorgan syndrome and how the communication between tissues is established has yet to be determined. We investigated adipose tissue secretory factors and explored their role in crosstalk of adipocytes, muscle, and tumor during pancreatic cancer cachexia. Methods: We used a pancreatic cancer cachexia mouse model generated by syngenic implantation of pancreatic ductal adenocarcinoma (PDAC) cells (KPC) intraperitoneally into C57BL/6 mice and Lcn2-knockout mice. For in vitro studies, adipocytes (3T3-L1 and primary adipocytes), cachectic cancer cells (Panc0203), non-cachectic cancer cells (Du145 cells), and skeletal muscle cells (C2C12 myoblasts) were used. Results: To identify molecules involved in the crosstalk of adipose tissue with muscle and tumors, we treated 3T3-L1 adipocytes with conditioned medium (CM) from cancer cells. Upon screening the secretomes from PDAC-induced adipocytes, several adipocytokines were identified, including lipocalin 2 (Lcn2). We investigated Lcn2 as a potential mediator of cachexia induced by adipocytes in response to PDAC. During tumor progression, mice exhibited a decline in body weight gain, which was accompanied by loss of adipose and muscle tissues. Tumor-harboring mice developed drastic hypothermia because of a dramatic loss of fat in brown adipose tissue (BAT) and suppression of the thermogenesis pathway. We inhibited Lcn2 with an anti-Lcn2 antibody neutralization or genomic ablation in mice. Lcn2 deficiency significantly improved body temperature in tumor-bearing mice, which was supported by the increased expression of Ucp1 and β3-adrenergic receptor in BAT. In addition, Lcn2 inhibition abrogated the loss of fat and muscle in tumor-bearing mice. In contrast to tumor-bearing WT mice, the corresponding Lcn2-knockout mice showed reduced ATGL expression in iWAT and decreased the expression of muscle atrophy molecular markers MuRF-1 and Fbx32. Conclusions: This study showed that Lcn2 is causally involved in the dysregulation of adipose tissue–muscle-tumor crosstalk during pancreatic cancer cachexia. Therapeutic targets that suppress Lcn2 may minimize the progression of cachexia.

Abstract Digital rock is an emerging area of rock physics, which involves scanning reservoir rocks using X-ray micro computed tomography (XCT) scanners and using it for various petrophysical computations and evaluations. The acquired micro CT projections are used to reconstruct the X-ray attenuation maps of the rock. The image reconstruction problem can be solved by utilization of analytical (such as Feldkamp–Davis–Kress (FDK) algorithm) or iterative methods. Analytical schemes are typically computationally more efficient and hence preferred for large datasets such as digital rocks. Iterative schemes like maximum likelihood expectation maximization (MLEM) are known to generate accurate image representation over analytical scheme in limited data (and/or noisy) situations, however iterative schemes are computationally expensive. In this work, we have parallelized the forward and inverse operators used in the MLEM algorithm on multiple graphics processing units (multi-GPU) platforms. The multi-GPU implementation involves dividing the rock volumes and detector geometry into smaller modules (along with overlap regions). Each of the module was passed onto different GPU to enable computation of forward and inverse operations. We observed an acceleration of $$\sim 30$$ ∼ 30 times using our multi-GPU approach compared to the multi-core CPU implementation. Further multi-GPU based MLEM obtained superior reconstruction compared to traditional FDK algorithm.

Disinformation has endangered the most vulnerable communities within our world. The anti-trafficking movement in particular has been adversely impacted by disinformation tactics advanced through the QAnon campaign. QAnon's extremist messaging exacerbates gendered, racist, and xenophobic manifestations of trafficking victimization as well as problematic responses to trafficking that underpin historic structural inequities built into the United States' response to trafficking. We describe an overview of mechanisms used by the QAnon campaign to spread disinformation and illustrate how these mechanisms adversely affect the anti-trafficking movement. Given the critical role of healthcare providers in both the identification and connection to care for trafficked persons, as well as their susceptibility to disinformation, we provide several recommendations for the health sector to leverage their educational and advocacy power to combat trafficking disinformation while addressing the root causes of human trafficking.

Background : Obesity has a strong association with the risk of developing cognitive impairment and dementia at a later age. Brain-derived neurotrophic factor (BDNF) and its receptor appear to be important components in cognitive function and are also involved in energy homeostasis. The level of circulating BDNF and its association with cognition has yet to be delineated clearly. In this work we studied the association of circulating BDNF with cognition among the adult obese population. Methods : The study involved 132 healthy participants between 18 and 40 years of age and of both sexes. The participants were categorized into an obesity group (n=66) and a non-obese group (n=66) based on their body mass index (Asian criteria). The level of cognitive performance was assessed by the event-related potentials P300 (ERPs-P300), mini-mental state examination (MMSE), both visual and auditory reaction times (VRT and ART, respectively), and other pen and paper tests related to memory and executive function. Serum BDNF, glycemic and lipid profiles were estimated. Results : We found significant differences in the ERPs-P300 latency (P

Targeted therapy aiming at the metastatic signal pathway, such as that triggered by receptor tyrosine kinase (RTK), for the prevention of tumor progression is promising. However, RTK-based targeted therapy frequently suffered from drug resistance due to the co-expression of multiple growth factor receptors that may raise compensatory secondary signaling and acquired mutations after treatment. One alternative strategy is to manipulate the common negative regulators of the RTK signaling. Among them, Raf kinase inhibitory protein (RKIP) is highlighted and focused on this review. RKIP can associate with Raf-1, thus suppressing the downstream mitogen-activated protein kinase (MAPK) cascade. RKIP also negatively regulates other metastatic signal molecules including NF-κB, STAT3, and NOTCH1. In general, RKIP achieves this task via associating and blocking the activity of the critical molecules on upstream of the aforementioned pathways. One novel RKIP-related signaling involves reactive oxygen species (ROS). In our recent report, we found that PKCδ-mediated ROS generation may interfere with the association of RKIP with heat shock protein 60 (HSP60)/MAPK complex via oxidation of HSP60 triggered by the tumor promoter 12-O-tetradecanoyl-phorbol-13-acetate. The departure of RKIP may impact the downstream MAPK in two aspects. One is to trigger the Mt→cytosol translocation of HSP60 coupled with MAPKs. The other is to change the conformation of HSP60, favoring more efficient activation of the associated MAPK by upstream kinases in cytosol. It is worthy of investigating whether various RTKs capable of generating ROS can drive metastatic signaling via affecting RKIP in the same manner.

Présentations have proved to be an effective way of communication in today’s world. Effective présentations are essential as they express one’s idea or analysis in professional meetings. A keyboard or a remote-controlled physical device is generally used to operate the presentations. The display can be performed using hand gestures by utilizing the features provided by Computer Vision (CV). The slides in the presentation can be navigated using specific hand gestures for each operation, like navigating forward or backward in slides. This model also allows the user to virtually draw on the screen in real-time by using their hands. So this model helps eliminate the use of a physical device and is cost-effective. This automation results in a software product that works as an efficient controller. Using this, the user can operate the slides efficiently without any physical contact. This automated model is cost-effective, easy to use, and doesn't require any physical device. This can also see tremendous market potential as presentations have become necessary in every field today. Many features and gestures can be added to further development of this model.

Abstract Retrograde vaporization effects on oil production are nearly unprecedented to reservoir engineering community, and its relation to formation damage should be explored. For this purpose, this paper elucidates the importance and role of this phenomenon and its phase change heat transfer (PCHT) on fines migration and subsequent, permeability damage in porous rocks bearing oil and gas. Initially, a fine particle energy conversion equation was successfully acquired by combining fine particle mass balance and general energy equations. Moreover, the computational fluid dynamic model (CFD) was adopted for performing numerical modeling. A 2D CFD model using FEA-Comsol 5.0 version was used to simulate the retrograde vaporization of reservoir fluids. Pore walls are designed as non-adiabatic, and therefore, a modified Dittus-Boelter mass transfer model is provided for a fine particle detachment under PCHT. Hence, from the simulation results it was observed that there is a high degree of heat release during reservoir fluid phase change that is from oil to gas for decreasing pressure and increasing saturation time. This heat transfer from the oil and gas influxes contributes in the expulsion and migration of in situ fines in porous media. Also, an increasing rate of enthalpy was achieved that produces a non-isentropic flow, which is required to mobilize the fines in porous medium, and a satisfactory phase transition simulation outputs were obtained and presented as well. Altogether, these factors play a significant role in the fine particle eviction from the pore chamber, thereby plugging in the pore throat and consequently, decreasing the well productivity during transient flow.

Bacterial outer membrane vesicles (OMVs) are increasingly used as carriers for drug delivery. Here the authors encapsulate biopolymer melanin into OMVs, extending their use to optoacoustic imaging both in vitro and in vivo, and demonstrate the potential of this tool for photothermal therapy applications.

Contrast enhancement in optoacoustic (photoacoustic) imaging can be achieved with agents that exhibit high absorption cross-sections, high photostability, low quantum yield, low toxicity, and preferential bio-distribution and clearance profiles. Based on advantageous photophysical properties of croconaine dyes, we explored croconaine-based nanoparticles (CR780RGD-NPs) as highly efficient contrast agents for targeted optoacoustic imaging of challenging preclinical tumor targets. Initial characterization of the CR780 dye was followed by modifications using polyethylene glycol and the cancer-targeting c(RGDyC) peptide, resulting in self-assembled ultrasmall particles with long circulation time and active tumor targeting. Preferential bio-distribution was demonstrated in orthotopic mouse brain tumor models by multispectral optoacoustic tomography (MSOT) imaging and histological analysis. Our findings showcase particle accumulation in brain tumors with sustainable strong optoacoustic signals and minimal toxic side effects. This work points to CR780RGD-NPs as a promising optoacoustic contrast agent for potential use in the diagnosis and image-guided resection of brain tumors.

Hand gesture recognition is one of the most effective modes of interaction between humans and computers due to being highly flexible and user-friendly. A real-time hand gesture recognition system should aim to develop a user-independent interface with high recognition performance. Nowadays, convolutional neural networks (CNNs) show high recognition rates in image classification problems. Due to the unavailability of large labeled image samples in static hand gesture images, it is a challenging task to train deep CNN networks such as AlexNet, VGG-16 and ResNet from scratch. Therefore, inspired by CNN performance, an end-to-end fine-tuning method of a pre-trained CNN model with score-level fusion technique is proposed here to recognize hand gestures in a dataset with a low number of gesture images. The effectiveness of the proposed technique is evaluated using leave-one-subject-out cross-validation (LOO CV) and regular CV tests on two benchmark datasets. A real-time American sign language (ASL) recognition system is developed and tested using the proposed technique.

The fidelity and quality of reconstructed images in optoacoustic mesoscopy (OPAM) can be significantly improved by considering the spatial impulse response (SIR) of the employed focused transducer into reconstruction. However, the traditional method fully taking the SIR into account can hardly meet the data-intensive requirements of high resolution OPAM because of excessive memory and time consumption. Herein, a modified back-projection method using a space-variant filter for full-frequency correction of the SIR is presented, and applied to the OPAM system with a sphere-focused transducer. The proposed method can readily manage the large datasets of the OPAM and effectively reduce the extra time consumption. The performance of the proposed method is showcased by simulations and experiments of phantoms and biological tissue. The results demonstrate that the modified back-projection method exhibits better image fidelity, resolution and contrast compared to the common and weighted back-projection methods that are not or not fully accounting for the SIR.

Using the same ultrasound detector, hybrid optoacoustic-ultrasound (OPUS) imaging provides concurrent scans of tissue slices or volumes and visualizes complementary sound- and light-based contrast at similar resolutions. In addition to the benefit of hybrid contrast, spatial co-registration enables images from one modality to be employed as prior information for improving an aspect of the performance of the other modality. We consider herein a handheld OPUS system and utilize structural information from ultrasound images to guide regional Laplacian regularization-based reconstruction of optoacoustic images. Using phantoms and data from OPUS scans of human radial and carotid arteries, we show that ultrasound-driven optoacoustic inversion reduces limited-view artefacts and improves image contrast. In phantoms, prior-integrated reconstruction leads to a 50 % higher contrast-to-noise ratio (CNR) of the image than standard reconstruction, and a 17 % higher structural similarity (SSIM) index. In clinical data, prior-integrated reconstruction detects deep-seated radial arteries with higher CNR than the standard method at three different depths. In this way, the prior-integrated method offers unique insights into atherosclerotic carotid plaques in humans (with p

Both chronic kidney disease (CKD) and hypothyroidism are associated with decreased serum irisin level. The presence of hypothyroidism may influence serum irisin level in CKD patients. The objective of this study was to evaluate the effect of hypothyroidism on serum irisin level in patients with nondiabetic CKD. Two hundred nondiabetic CKD patients aged between 18 and 65 years with glomerular filtration rate

Background: The prevalence of both islet cell and adrenal autoimmunity among Asian Indian hypothyroidism patients with Hashimoto's thyroiditis (HT) is lacking in literature. Objectives: The objective of this study was to assess the proportion of Addison's disease (AD) and type 1 diabetes mellitus (T1DM) in patients with HT. Materials and Methods: The patients with hypothyroidism due to HT were included in this study over 2 years. Primary hypothyroidism was defined as high serum thyroid-stimulating hormone (>5.5 mIU/L) with or without low thyroxine level. HT was defined by the presence of high thyroid peroxidase antibody (Ab) titer (>35 IU/ml). Autoimmune markers of AD and T1DM, i.e., adrenal (21-hydroxylase) Ab, glutamic acid decarboxylase (GAD) Ab, and insulinoma-associated antigen-2 (IA-2) Ab were measured among them. In addition, 250 μg adrenocorticotropic hormone (ACTH) stimulation test was done in patients with adrenal Ab. Similarly, beta cell function was assessed in patients with GAD and/or IA-2 Ab. Results: Out of 150 patients screened, 136 patients were included in this study. Seven patients had adrenal Ab while 15 had IA-2 Ab. The GAD Ab was not present in any of the patients in the study. ACTH stimulation test was done in four of seven patients with adrenal Ab and beta cell function was assessed in 8 of 15 patients with islet cell Ab. All patients with adrenal Ab had normal adrenal function and 1 out of 15 with IA-2 Ab developed diabetes mellitus during follow-up. Conclusions: Either adrenal or islet cell Ab was found in 16% Asian Indian hypothyroidism patients with HT.

Purpose: The study was aimed to compare and evaluate the changes in the impact strength of heat cure denture base resins when treated using denture cleansers. Methodology: Study was conducted with sample size of 40 and dimesion 65 mm length, 10 mm width, and 3 mm thickness as per the ISO 1567. Distilled water has been used as control group, in which 10 samples were immersed of 40 samples. Of remaining 30 samples, 10 were treated with Clinsodent, 10 were treated with VI-Clean, and 10 were treated with Clanden denture cleansers. The impact strength of these specimens from each group was tested with the help of Charpy-type pendulum impact strength tester. The energy absorbed to fracture the specimens was recorded, and impact strength was calculated and was analyzed using Kruskal–Wallis ANOVA and Mann–Whitney test. Results: Impact strength of samples was significantly reduced after immersion in denture cleansers Clinsodent, VI-Clean, and Clanden solutions when compared to control group. Conclusion: Clinsodent, VI-Clean, and Clanden denture cleansers decrease the impact strength of heat cure denture base resin after immersion. Hence, the study concludes that denture cleansers should be used with caution and advised to follow manufacturer's instructions.

Integrins play an important role in tumor progression, invasion and metastasis. Therefore we aimed to evaluate a preclinical imaging approach applying ανβ3 integrin targeted hybrid Fluorescence Molecular Tomography/X-ray Computed Tomography (FMT-XCT) for monitoring tumor progression as well as early therapy response in a syngeneic murine Non-Small Cell Lung Cancer (NSCLC) model. Lewis Lung Carcinomas were grown orthotopically in C57BL/6 J mice and imaged in-vivo using a ανβ3 targeted near-infrared fluorescence (NIRF) probe. ανβ3-targeted FMT-XCT was able to track tumor progression. Cilengitide was able to substantially block the binding of the NIRF probe and suppress the imaging signal. Additionally mice were treated with an established chemotherapy regimen of Cisplatin and Bevacizumab or with a novel MEK inhibitor (Refametinib) for 2 weeks. While μCT revealed only a moderate slowdown of tumor growth, ανβ3 dependent signal decreased significantly compared to non-treated mice already at one week post treatment. ανβ3 targeted imaging might therefore become a promising tool for assessment of early therapy response in the future.

Background: Vitamin D which is involved in the maintenance of bone mineral homeostasis has been found to portray various pleiotropic effects. Although it has been widely accepted that serum 25-hydroxy Vitamin D level above 30 ng/ml is considered optimal for the biological actions of Vitamin D, there is a need to explore the levels of Vitamin D reported among Indians from various regions of the country. Hence, this systematic review aims to appraise the status of Vitamin D levels reported from apparently healthy Indians across various parts of India. Methodology: A comprehensive literature search was carried out to identify the range of Vitamin D levels among apparently healthy individuals from various parts of India, with the search term “Vitamin D and India” in the search portals of PubMed, Google Scholar, Indmed, and ScienceDirect. A total of 2998 articles were retrieved by the above search strategy, of which only forty studies fulfilled the criteria to be included in the systematic review. Studies done in various states were compiled under the respective zones based on the classification of Indian zones as specified in Zonal maps of India. Results: The level of Vitamin D from all the forty included studies ranged from 3.15 ± 1.4 to 52.9 ± 33.7 ng/ml. The effect size of Vitamin D level was higher in the South Zone compared to other zones. Conclusion: The present study shows that Vitamin D deficiency is prevalent among apparently healthy Indians living in different regions of India, irrespective of their exposure to sunlight.

Objective: To investigate the ethanolic extract and its fractions of Hyptis suaveolens (H. suaveolens) for antinociceptive and central nervous system depressant effects. Methods: Dried and coarsely powdered aerial parts of plant material were extracted in 80% aqueous ethanol. Further extract was fractionated using solvents of varying polarity. Analgesic properties was assessed using acetic acid-induced writhing and hot plate test and locomotor activity were performed in mice using hole board test. Results: The petroleum ether and ethyl acetate extracts had produced significant analgesic properties and were found to be maximum when tested at 400 mg/kg. Both extracts significantly increased the latency time in hot plate test and the action was antagonised by naloxone. The naloxone was not able to alter H. suaveolens induced antinociceptive effect in writhing test. Conclusions: From the point of central nervous system depressant and good protective effect on chemical and thermal pain stimuli, it indicates that H. suaveolens might have resulted from activation of opioid and/or peripheral receptors.

Objectives: The study was aimed to capture the effect of using injection pads as a tool in educating the diabetic patients who were on insulin. The attitude and practice of the patients in storage of insulin vials and disposal of insulin syringes were also assessed. Materials and Methods: A facility based Quasi-experimental study was carried out among the diabetic patients on insulin, attending diabetic clinic in endocrinology OPD in a tertiary care hospital, Puducherry. One to one intervention was given to the study participants or their attendants (who were involved in injecting insulin), by a trained investigator regarding all the steps of insulin administration. The insulin administration practices before and immediately after the intervention was assessed using a checklist. Results: In total 91 patients were included for the study with mean (SD) age of 53.9 (10.6) years and of them 76% were females. The attitude and practices of the study participants, such as hand washing before handling insulin, checking the expiry date, storage of insulin, inspection of injection site, rolling and cleaning the vial, withdrawal of the syringe up to the required dose, pushing the plunger after inserting the syringe into the vial, checking and removal of air bubbles, cleaning the injection site and allow to dry and injection technique improved significantly after the intervention (P < 0.05). Conclusion: This study findings shows that using injection pads for educating patients helps them to practise better insulin administration. The findings from the study can be applied in routine care and has to be explored further in diabetic patient management.

Background: Steroid replacement without thyroxine supplementation normalizes thyroid function test (TFT) in some but not all Addison's disease patients with primary hypothyroidism. Both autoimmune and nonautoimmune mechanisms contribute to this improvement in TFT. However, the documentation of the change in thyroid autoimmunity after cortisol replacement is very limited in the literature. The aim of this study was to determine the effect of steroid replacement on TFT and anti-thyroid peroxidase antibody (anti-TPO-Ab) titer in Addison's disease with primary hypothyroidism. Materials and Methods: This observational study was conducted in a tertiary care center in South India. Six Addison's disease patients with primary hypothyroidism, who were only on steroid replacement, were included in the study. Low serum cortisol (22 pmol/L) and/or hyperpigmentation of skin/mucous membranes was considered as the diagnostic criteria for Addison's disease. Primary hypothyroidism (both overt and subclinical) was defined as high thyroid stimulating hormone (TSH) with/without low free thyroxine (fT4). TFT and anti-TPO-Ab were performed before and after steroid replacement in all of them. Results: Poststeroid replacement, there was a normalization of TSH in all but one subjects. In overt hypothyroidism patients, fT4 also normalized. The improvement in TFT was not associated with decreasing titer of the anti-TPO-Ab in all six patients. However, there was a significant difference in TSH after steroid replacement compared to the baseline status. Conclusions: The concept of normalization of primary hypothyroidism with cortisol replacement in patients with Addison's disease should be recognized to avoid iatrogenic thyrotoxicosis caused by thyroxine replacement. Both autoimmune and nonautoimmune mechanisms contribute to these alterations.

In the design of multi-loop Networked Control Systems (NCSs), wherein each control system is characterized by heterogeneous dynamics and associated with a certain set of timing specifications, appropriate metrics need to be employed for the synthesis of control and networking policies to efficiently respond to the requirements of each control loop. The majority of the design approaches for sampling, scheduling, and control policies include either time-based or event-based metrics to perform pertinent actions in response to the changes of the parameters of interest. We specifically focus in this article on Age-of-Information (AoI) as a recently-developed time-based metric and threshold-based triggering function as a generic Event-Triggered (ET) metric. We consider multiple heterogeneous stochastic linear control systems that close their feedback loops over a shared communication network. We investigate the co-design across the NCS and discuss the pros and cons with the AoI and ET approaches in terms of asymptotic control performance measured by Linear-Quadratic Gaussian (LQG) cost functions. In particular, sampling and scheduling policies combining AoI and stochastic ET metrics are proposed. It is argued that pure AoI functions that generate decision variables solely upon minimizing the average age irrespective of control systems dynamics may not be able to improve the overall NCS performance even compared with purely randomized policies. Our theoretical analysis is validated through several simulation scenarios.

Alpha7 nicotinic acetylcholine receptors (α7nAChRs) are interesting not only because of their physiological effects, but because this receptor requires chaperones to traffic to cell surfaces (measured by alpha-bungarotoxin [αBGT] binding). While knockout (KO) animals and antibodies that react across species exist for tmem35a encoding the protein chaperone NACHO, commercially available antibodies against the chaperone RIC3 that allow Western blots across species have not been generally available. Further, no effects of deleting RIC3 function (ric3 KO) on α7nAChR expression are reported. Finally, antibodies against α7nAChRs have shown various deficiencies. We find mouse macrophages bind αBGT but lack NACHO. We also report on a new α7nAChR antibody and testing commercially available anti-RIC3 antibodies that react across species allowing Western blot analysis of in vitro cultures. These antibodies also react to specific RIC3 splice variants and single-nucleotide polymorphisms. Preliminary autoradiographic analysis reveals that ric3 KOs show subtle αBGT binding changes across different mouse brain regions, while tmem35a KOs show a complete loss of αBGT binding. These findings are inconsistent with effects observed in vitro, as RIC3 promotes αBGT binding to α7nAChRs expressed in HEK cells, even in the absence of NACHO. Collectively, additional regulatory factors are likely involved in the in vivo expression of α7nAChRs.

Processing of fish in aquaculture generates considerable amounts of by-products that remain underused and/or unexploited. We evaluated the nutritive content of fish by-products (head, gills, intestines, trimmings, bones, and skin) from meagre and gilthead sea bream fish species reared in Greece in order to estimate their nutritional value for future development of high added-value products. The proximate composition of the fish samples (total protein, total lipid, ash, moisture, and macro-element content) was determined using the Association of Official Analytical Chemists (AOAC) and International Organization for Standardization (ISO) official methods. The content of fatty acids was determined using capillary gas chromatography, and the protein profile was estimated employing scientific orbitrap mass spectrophotometer methodology. The nutrient composition of fish by-products presented fluctuations among the different by-products. Skin was the most significant protein source, trimmings and bones were high in calcium, and the head, intestines, and bones were a good source of lipids. The most abundant lipid acids found in by-products were oleic, palmitic, linoleic, and eicosenoic acids, whereas the most abundant proteins were adenosine triphosphate (ATP) synthase subunit epsilon, mitochondrial nicotinamide adenine dinucleotide (NADH) dehydrogenase, and mitochondrial cytochrome b-c1 complex subunit 8. These data suggest that by-products constitute valuable sources of nutrients and could therefore be exploited in accordance with the principles of a circular economy.

Introduction: More than 20,000 pacemakers are implanted each year in India and the numbers are growing annually. Despite this growing numbers, there is no national registry in India who collects or tracks data of implanted devices. Aim: The present study aimed to provide a small fraction of demographic profile of patients who underwent Permanent Pacemaker (PPM) implantation at our premises, one of the largest tertiary care centres in South-east Asia. Materials and Methods: This was a single centre, retrospective study. Patients who underwent pacemaker implantation between December 1999 and February 2014 were included in this study. The data were extracted from a prospectively maintained database, 1551 patients were included in this study. The data analysis was based on patient’s age, gender, indication of PPM implantation, surgical parameters and modes of pacing and pacing parameters. Data were analysed with SPSS. Results: Of the PPM implantation procedures, 56.8% were performed on males and the mean age of population was 60.1 years. The prime indication for pacemaker implantation was degenerative complete heart block (68.3%) followed by sick sinus syndrome (9.0%). Of the total population, 68.3% patients acquired single chamber PPM and 55.9% patients received VVI pacemakers followed by DDDR pacemakers (20.8%). Conclusion: More number of pacemakers was implanted to male patients than female and there was no major age difference between genders. Degenerative complete heart block was the prime indication for PPM implantation. Single chamber devices were used significantly more than the dual chamber devices.

A 78-year-old female with a past medical history of alcoholic cirrhosis was hospitalised with recurrent lower gastrointestinal bleeding due to rectal ulcers. The ulcers were successfully treated with cautery and placement of clips. However, a recurrent large right-sided pleural effusion without apparent ascites and dyspnea were found incidentally during the hospitalisation. The initial fluid analysis was exudate based on Light’s criteria with high protein. The fluid analysis was repeated five days later, after rapid reaccumulation which revealed transudates. Other causes of pleural effusion like heart failure, renal failure or primary pulmonary diseases were excluded. Hepatic hydrothorax was considered and the patient was started with the treatment of Furosemide and Spironolactone. The atypical presentation of hepatic hydrothorax may disguise the diagnosis and delay the treatment. Therefore, for a patient with recurrent, unexplained unilateral pleural effusions, even with atypical fluid characterisation and in the absence of ascites, hepatic hydrothorax should still remain on the top differential with underlying cirrhosis to ensure optimal treatment.