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Abstract Phloem is the primary conduit for transporting photosynthates and signaling molecules in plants, facilitating communication between various plant organs. As an ancient vascular tissue, phloem transports sugars, proteins, and hormones from source tissues to sinks over long distances. However, this vital transport system also serves as a battlefield where plants and pathogens compete for survival. The phloem’s nutrient-rich environment offers pathogens a secure habitat, protecting them from external threats while providing ample metabolic resources. Phloem-feeding insects, bacteria, fungi, and viruses exploit this system to access nutrients, leading to widespread diseases and yield losses. These insects can also transmit pathogens, such as viruses, which can evade the plants’ defense systems, causing systemic damage throughout the transport network. This review describes the mechanisms by which pathogens invade and colonize the phloem, the plant’s defense strategies, and their dynamic interactions. Understanding the phloem’s structural intricacies, physiological functions, and defense mechanisms provides a foundation for comprehending phloem–pathogen interactions. Insights into these interactions at the molecular level are crucial for developing innovative and effective disease management strategies. Genomics, proteomics, and bioinformatics advances have elucidated the interactions between phloem defenses and pathogen offenses. Finally, this review discusses integrated disease management strategies to counteract these pathogens, paving the way for improving plant health and resilience.

Abstract This paper presents a novel approach to agricultural disease diagnostics through the integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) systems, specifically targeting the detection of wheat rust. Wheat rust is a pervasive and destructive disease that significantly impacts wheat production worldwide. Traditional diagnostic methods often require expert knowledge and time-consuming processes, making rapid and accurate detection challenging. We drafted a new, WheatRustDL2024 dataset (7998 images of healthy and infected leaves) specifically designed for VQA in the context of wheat rust detection and utilized it to retrieve the initial weights on the federated learning server. This dataset comprises high-resolution images of wheat plants, annotated with detailed questions and answers pertaining to the presence, type, and severity of rust infections. Our dataset also contains images collected from various sources and successfully highlights a wide range of conditions (different lighting, obstructions in the image, etc.) in which a wheat image may be taken, therefore making a generalized universally applicable model. The trained model was federated using Flower. Following extensive analysis, the chosen central model was ResNet. Our fine-tuned ResNet achieved an accuracy of 97.69% on the existing data. We also implemented the BLIP (Bootstrapping Language-Image Pre-training) methods that enable the model to understand complex visual and textual inputs, thereby improving the accuracy and relevance of the generated answers. The dual attention mechanism, combined with BLIP techniques, allows the model to simultaneously focus on relevant image regions and pertinent parts of the questions. We also created a custom dataset (WheatRustVQA) with our augmented dataset containing 1800 augmented images and their associated question-answer pairs. The model fetches an answer with an average BLEU score of 0.6235 on our testing partition of the dataset. This federated model is lightweight and can be seamlessly integrated into mobile phones, drones, etc. without any hardware requirement. Our results indicate that integrating deep learning with VQA for agricultural disease diagnostics not only accelerates the detection process but also reduces dependency on human experts, making it a valuable tool for farmers and agricultural professionals. This approach holds promise for broader applications in plant pathology and precision agriculture and can consequently address food security issues.

The global wheat production faces significant challenges due to major rust-causing fungi, namely Puccinia striiformis f. sp. tritici, P. triticina, and P. graminis f. sp. tritici, responsible for stripe, leaf, and stem rust diseases, respectively. The evolutionary relationship between wheat (host) and Puccinia (pathogen) renders existing wheat resistance ineffective over time. The most viable solution to this issue lies in the development of new resistant wheat varieties. However, achieving this requires a comprehensive understanding of wheat's defense mechanisms against ever-evolving pathogens. Transcriptomics emerges as a powerful tool for analyzing gene activity at the molecular level. Over the last decade, this technique has transformed our comprehension of the wheat-rust interaction. Transcriptomics has unveiled a compelling ''biphasic model'' of gene expression in wheat infected with rust fungi, delineating two distinct phases of defense activation. Moreover, it has illuminated the intricate signaling pathways, hormonal interactions, and diverse defense mechanisms employed by wheat. These mechanisms encompass the oxidative burst, reinforcement of cell walls, and controlled cessation of photosynthesis, all aimed at combatting the invading pathogen. However, the utility of transcriptomics extends beyond elucidating defense strategies; it enables the identification of novel genes linked to resistance or susceptibility. By unraveling the functions of these genes, researchers can uncover new avenues for breeding resistant wheat varieties, arming wheat with the molecular arsenal necessary to prevail in the ongoing battle against rust fungi. This review represents a pioneering effort in exploring transcriptomic techniques and accumulated data to present a comprehensive overview of the wheat-Puccinia interaction at the system-wide level.

Abstract Methyl-TROSY nuclear magnetic resonance (NMR) spectroscopy is a powerful technique for characterising large biomolecules in solution. However, preparing samples for these experiments is demanding and entails deuteration, limiting its use. Here we demonstrate that NMR spectra recorded on protonated, uniformly 13C labelled samples can be processed using deep neural networks to yield spectra that are of similar quality to typical deuterated methyl-TROSY spectra, potentially providing information for proteins that cannot be produced in bacterial systems. We validate the methodology experimentally on three proteins with molecular weights in the range 42–360 kDa. We further demonstrate the applicability of our methodology to 3D NOESY spectra of Escherichia coli Malate Synthase G (81 kDa), where observed NOE cross-peaks are in good agreement with the available structure. The method represents an advance in the field of using deep learning to analyse complex magnetic resonance data and could have an impact on the study of large biomolecules in years to come.

This article presents and describes a dataset for the bills of materials for the buildings constructed with mass timber (MT), structural steel (SS), and reinforced concrete (RC), which are generated using Athena's Impact Estimator for Buildings (IE4B) software to conduct a whole building life-cycle assessment (WBLCA). These data are associated with the research article Environmental Impact Assessment of Mass Timber, Structural Steel, and Reinforced Concrete Buildings Based on the 2021 International Building Code Provisions [1]. This dataset was utilized to estimate their environmental impacts but can be used to estimate the costs of buildings constructed with MT, SS, and RC building materials. These data could be replicated using the same layout, system boundaries, reference study period (RSP), and building assemblies’ information as used in the published work [1]. This dataset is related to conceptual design of a building with 11 apartment units per floor. However, a detailed design that includes the analysis of interior architectural finishes such as internal partitions within the units, kitchen and washroom fixtures, internal doors, flooring, and so on, could be developed and analyzed to obtain a more comprehensive estimates of life cycle assessment. This dataset was originally developed to compare the environmental impacts of structural materials selection for three common framing typologies.

This study presents the design, fabrication, and experimental analysis of Multiple Effect Distillation (MED) plant with four effects (4+C system). A total of 15 experiments were conducted, systematically categorized based on feed water temperature. Baby fire tube boiler producing 25 kg/h steam were installed with plant for experimental study. The investigation focused on distillate output, Gain Output Ratio, Overall Heat Transfer Coefficient, and the cost of distillate. Investigation demonstrates a notable increase in distillate output and Gain Output Ratio as the feed water temperature increases. Furthermore, improvements in the Overall Heat Transfer Coefficient with higher temperatures was observed. Notably, the cost of distillate decreased from $2.5/m³ to $1.5/m³ as the temperature increased. Findings suggest that 80 °C feed water temperature optimizes distillate output and Gain Output Ratio. Beyond this temperature, a decrease in distillate production occurs due to reduced latent heat of vaporization. The economic analysis reveals a trade-off between distillate output and cost, emphasizing the importance of optimizing feed water temperature. The inlet temperature was maintained at 115 ± 0.3 °C, while the boiler pressure remained at 5 bar. In the pilot plant configuration, MED system operating at 80 °C generated a daily water output of 438.93 L/day. The associated cost for producing fresh water was1.65 $/m3, and the system achieved a maximum Gain output ratio of 1.95.

This study evaluates the biocontrol efficacy of three bacterial strains (Pseudomonas fluorescens DTPF-3, Bacillus amyloliquefaciens DTBA-11, and Bacillus subtilis DTBS-5) and two fungal strains (Trichoderma harzianum Pusa-5SD and Aspergillus niger An-27) antagonists, along with their combinations at varying doses (5.0, 7.5, and 10.0 g/kg of seeds), against wheat powdery mildew. The most effective dose (10 g/kg seeds) was further analyzed for its impact on induced resistance and plant growth promotion under greenhouse conditions. The study measured defense enzyme activities, biochemical changes, and post-infection plant growth metrics. All tested microbial antagonists at 10 g/kg significantly reduced PM severity, with B. subtilis strain DTBS-5 outperforming others in reducing PM severity and achieving the highest biocontrol efficacy. It was followed by B. amyloliquefaciens strain DTBA-11 and P. fluorescens strain DTPF-3, with the fungal antagonists showing no significant effect. Wheat crops treated with B. subtilis strain DTBS-5 exhibited substantial increases in defense-related enzyme activities and biochemicals, suggesting an induced resistance mechanism. The study found a 45% increase in peroxidase (POD) activity, a 50% increase in catalase (CAT) activity, a 30% increase in phenolic content, and a 25% increase in soluble protein content in the wheat plants treated with microbial antagonists. The study highlights the effectiveness of microbial antagonists, particularly B. subtilis strain DTBS-5, in managing wheat PM through biocontrol, induced resistance, and enhanced plant growth, offering a sustainable alternative to chemical treatments.

Background: Although fast-track treatment pathways are well established in colorectal surgeries, their role in oesophageal resections has not been well studied. This study aims to prospectively evaluate the short-term outcomes of enhanced recovery after surgery (ERAS) protocol in patients undergoing minimally invasive oesophagectomy (MIE) for oesophageal malignancy. Patients and Methods: We studied a prospective cohort of 46 consecutive patients from January 2019 to June 2022 who underwent MIE for oesophageal malignancy. The ERAS protocol mainly consists of pre-operative counselling, pre-operative carbohydrate loading, multimodal analgesia, early mobilisation, enteral nutrition and initiation oral feed. Principal outcome measures were the length of post-operative hospital stay, complication rate, mortality rate and 30-day readmission rate. Results: The median (interquartile range [IQR]) age of patients was 49.5 (42, 62) years, and 52.2% were female. The median (IQR) post-operative day of intercoastal drain removal and initiation of oral feed was 4 (3, 4) and 4 (4, 6) days, respectively. The median (IQR) length of hospital stay was 6 (6.0, 7.25) days, with a 30-day readmission rate of 6.5%. The overall complication rate was 45.6%, with a major complication (Clavien–Dindo ≥3) rate of 10.9%. Compliance with the ERAS protocol was 86.9%, and the incidence of major complications was associated with failure to follow the protocol (P = 0.000). Conclusions: ERAS protocol in minimally invasive oesophagectomy is feasible and safe. This may result in early recovery with shortened length of hospital stay without an increase in complication and readmission rates.

Abstract Background Nematode egg parasitic fungus, Purpureocillium lilacinum is the most effective biocontrol agent and has been widely used commercially in many countries for the management of root-knot nematode, Meloidogyne incognita. Availability of indigenous potential strains specific to an agro ecosystem is very crucial for their successful commercial exploitation for suppression of nematode population. Hence, an attempt was made to isolate, characterize, evaluate and identify potential indigenous strains of P. lilacinum from pulse ecosystem for root-knot nematode management in chickpea. Results The fungal colony was initially white and when spore was formed it turned into pink colour in 72 to 96 h. Hyphae was hyaline and septate, conidiophore was blunt, and phialides were with wide base and long neck bearing round to oval conidia in chains. Molecular identification of the species, P. lilacinum was carried out based on ITS1-5.8S-ITS2 region of the genomic DNA. In vitro bioassay of cultural filtrates on juvenile mortality revealed that maximum percentage of mortality was observed in IIPR-Pl-11 (88.36%). Spectrophotometric assay on chitinolytic activity showed that the strain IIPR-Pl-11 produced significantly high chitinolytic activity, chitinase enzyme and total protein content (0.139, 51.1 and173.75 µg/ml at 5days); (0.245, 90.1 and 272.67 µg/ml at 10 days) and (0.273, 100.4 and 306.25 µg/ml), respectively, at 15 days of culturing in colloidal chitin-enriched medium C. 2D gel electrophoresis of the crude chitinase suspension showed the presence of chitinase (32, 46 kDa size) in the sample from chitinase-induced medium C. In vitro bioassay of the cultural filtrates of the fungus grown in chitin-enriched medium C on inhibition on egg hatching revealed that the highest percent inhibition on egg hatching showed by IIPR-Pl-8 strain at 5 days of inoculation (42.6%) and IIPR-Pl-11 at 10 and 20 days of inoculation (62.80 and 93.50%), respectively. In vivo pot experiment revealed that among all strains, IIPR-Pl-11 was efficient in promoting plant growth very effectively by reducing gall number (41.3 per plant), egg mass (28.3 per plant) and soil population (284.3 per 200cc of soil) compared to control. Conclusion P. lilacinum strain IIPR-Pl-11 was the highest potential strain from pulse rhizosphere for the management of root-knot nematode, M. incognita in chickpea.

Abstract Background The gram pod borer (Helicoverpa armigera Hubner), Bihar hairy caterpillar (Spilosoma obliqua Walker), tobacco caterpillar (Spodoptera litura Fabricius) and root knot nematode (Meloidogyne incognita (Kofoid and White) Chitwood) are the major insect pest and nematodes infesting mungbean, urdbean and other legumes. Bacillus thuringiensis (Bt) is a promising biocontrol agent that helps in managing the above pest. Deploying Bt biopesticides instead of chemical pesticides in legume cultivation enhances the soil health substantially. The present study envisages morphological, molecular cum biochemical characterization, entomotoxicity and nematotoxicity potential of four indigenous Bt strains (Ak2.IIPR, F8.IIPR, F5.IIPR and F6.IIPR) along with HD1 (standard check from BGSC). Results The SEM micrograph analysis of above four Bt strains along with F1.IIPR revealed the presence of different combinations of insecticidal crystal proteins, viz. cuboidal crystal (CC), bipyramidal crystal (BC), spherical crystal (SC) and irregularly pointed crystal (IC). This was further confirmed by PCR amplification of Cry1, Cry2Aa, Cry2Ac, VIP3A and chi36 gene-specific primers and their phylogenetic analysis. F8.IIPR and Ak2.IIPR recorded the highest toxicity index against second-instar S. obliqua larvae (292.56 and 174.55), H. armigera (150.00 and 113.65) and S. litura (210.71 and 114.19) based on probit analysis. F5.IIPR (91.67%) and F8.IIPR (89.00%) recorded the highest juvenile mortality against M. incognita, followed by Ak2.IIPR (70.33%). The protein profiling of supernatant of terrific broth inoculated with F8.IIPR indicated the presence of VIP3A and Cry1I. Conclusion The present study concluded that F8.IIPR and Ak2.IIPR were potential Bt strains isolated from Indo-Gangetic plains which is having both entomocidal and nematicidal properties. Further, these strains were deposited at national repository, ICAR-NBAIM with the following accession no.: NAIMCC-SB-065 and NAIMCC-SB-066, respectively. These strains can be formulated as microbial biopesticide.

Mechanistic understanding of antibiotic persistence is a prerequisite in controlling the emergence of MDR cases in Tuberculosis (TB). We have reported that the cholesterol-induced activation of VapC12 ribonuclease is critical for disease persistence in TB. In this study, we observed that relative to the wild type, mice infected with ΔvapC12 induced a pro-inflammatory response, had a higher pathogen load, and responded better to the anti-TB treatment. In a high-dose infection model, all the mice infected with ΔvapC12 succumbed early to the disease. Finally, we reported that the above phenotype of ΔvapC12 was dependent on the presence of the TLR4 receptor. Overall, the data suggests that failure of a timely resolution of the early inflammation by the ΔvapC12 infected mice led to hyperinflammation, altered T-cell response and high bacterial load. In conclusion, our findings suggest the role of the VapC12 toxin in modulating the innate immune response of the host in ways that favor the long-term survival of the pathogen inside the host.

Nematophagous fungi are the best alternatives to chemical nematicides for managing nematodes considering environmental health. In the current study, activity of metabolites from ten isolates of Purpureocillium lilacinum (Thom) Luangsa-ard (Hypocreales: Ophiocordycipitaceae) and two isolates of Paecilomyces variotii Bainier (Eurotiales: Trichocomaceae), were examined to inhibit the hatching of Meloidogyne incognita (Kofoid & White) Chitwood (Tylenchida: Heteroderidae) eggs. At 100%, 50%, and 25% concentrations, respectively, the culture filtrate of the isolate P. lilacinum 6887 prevented 97.55%, 90.52%, and 62.97% of egg hatching. Out of all the isolates, Pl 6887, Pl 6553, and Pl 2362 showed the greatest results in the hatching inhibition experiment.Gas chromatography-mass spectrometry (GC-MS) analysis revealed a variety of nematicidal compounds from different isolates. A total of seven nematicidal compounds, including four very potent nematicidal fatty acids were found in the isolate Pl 6553. Secondary metabolites of the same isolate possess the highest M. incognita juvenile mortality, i.e., 43.33% and 92% after 48 hrs of treatment at 100 and 200 ppm concentrations, respectively. Significant difference was observed in juvenile mortality percentage among the isolate having highest and lowest nematicidal compounds. Nematicidal fatty acids like myristic and lauric acid were found for the first time in P. lilacinum. Multiple vacuole-like droplets were found inside the unhatched eggs inoculated with the culture filtrate of isolate Pl 6887, and also in the juveniles that perished in the ethyl acetate extract of isolate Pl 6553.

Abstract Background Hypoproliferative anemia is a frequently encountered adverse event in cancer patients receiving immune checkpoint inhibitors (ICI). Secondary pure red cell aplasia (PRCA) is a rare but recognized immune related adverse event. With the burgeoning use of ICIs, the association of secondary PRCA with an underlying lymphoproliferative disorder is often overlooked. Case presentation We report a case of a 67-year-old non-Hispanic Caucasian male with metastatic castrate resistant prostate cancer, who developed severe transfusion dependent anemia with reticulocytopenia while receiving treatment with olaparib and pembrolizumab. His bone marrow findings demonstrated erythroid hypoplasia, in addition to a CD5-negative, CD10-negative monotypic B-cell population and a somatic MYD88L265P mutation. With a presence of an IgM-paraprotein, he was diagnosed with Waldenström macroglobulinemia (WM) with secondary PRCA and treated with 6 cycles of bendamustine and rituximab. He achieved a complete response with this regimen and was transfusion independent. Conclusion In this case, underlying WM was uncovered through systematic investigation of anemia caused by ICI therapy. This report highlights the possibility of a lymphoproliferative disorder in patients with concerns for PRCA with prior ICI exposure. If identified, treating the underlying lymphoproliferative disorder is highly efficacious in the management of the secondary PRCA.

Preservation of perishable food produce is a major concern in the cold chain supply system. Development of an energy-efficient on-farm cold storage facility, hence, becomes essential. Integration of thermal storage into a vapor compression refrigeration (VCR)-driven cold room is a promising technology that can reduce power consumption and act as a thermal backup. However, designing a latent heat energy storage heat exchanger encounters challenges, such as low thermal conductivity of phase change materials (PCMs) and poor heat exchanger efficiencies, leading to ineffective charging–discharging cycles. The current study investigates the effect of the integration of a Phase Change Material (PCM) in terms of the selection of the PCM, the optimal positioning of the PCM heat exchanger, and the selection of heat exchanger encapsulation material. Numerical analysis was undertaken using 3D Experience software (version: 2024x.D31.R426rel.202403212040) by creating a 3D model of a 3.4 m3 micro-cold storage unit to understand the inner temperature distribution profile. Further, the experimental setup was developed, and tests were conducted, during which the energy consumption of 1.1 kWh was recorded for the total compressor run time of 1 h. Results indicated that an improved cooling effect was achieved by positioning the PCM trays on the wall opposite the evaporator. It is seen that a temperature difference in the range of 5 to 7 °C exists between the phase change temperature of PCM and the optimal storage temperature depending on the encapsulation material. Hence, PCM selection for thermal storage applications would have an important bearing on the material and configuration of the PCM encapsulation.

Abstract Waste collection in developing nations faces multi-fold challenges, such as resource constraints and real-time changes in waste values, while finding the optimal routes. This paper attempts to address these challenges by modeling real-time waste values in smart bins and Collection Vehicles (CV). Further, waste value prioritized routes for coordinated CV, during various time intervals are modeled in a multi-agent environment for finding good routes. The CV, as agents, implement the formulated linear program to maximize the collected waste while minimizing the distance to the central depot. The city of Chandigarh, India, was divided into regions and the model was implemented to achieve significantly better performance in terms of waste collected in less distance and total bins covered when compared to the existing scenario. The stakeholders can use the outcomes to effectively plan the resources for better collection practices, which will have a positive impact on the environment.

The multifaceted role of vitamin C in human health intrudes several biochemical functions that are but not limited to antioxidant activity, homoeostasis, amino acid synthesis, collagen synthesis, osteogenesis, neurotransmitter production and several yet to be explored functions. In absence of an innate biosynthetic pathway, humans are obligated to attain vitamin C from dietary sources to maintain its optimal serum level (28 μmol/L). However, a significant amount of naturally occurring vitamin C may deteriorate due to food processing, storage and distribution before reaching to the human gastrointestinal tract, thus limiting or mitigating its disease combating activity. Literature acknowledges the growing prevalence of vitamin C deficiency across the globe irrespective of geographic, economic and population variations. Several tools have been tested to address vitamin C deficiency, which are primarily diet diversification, biofortification, supplementation and food fortification. These strategies inherit their own advantages and limitations. Opportunely, nanotechnology promises an array of delivery systems providing encapsulation, protection and delivery of susceptible compounds against environmental factors. Lack of clear understanding of the suitability of the delivery system for vitamin C encapsulation and fortification; growing prevalence of its deficiency, it is a need of the hour to develop and design vitamin C fortified food ensuring homogeneous distribution, improved stability and enhanced bioavailability. This article is intended to review the importance of vitamin C in human health, its recommended daily allowance, its dietary sources, factors donating to its stability and degradation. The emphasis also given to review the strategies adopted to address vitamin c deficiency, delivery systems adopted for vitamin C encapsulation and fortification.

The characteristics of terrestrial droughts are closely linked to simultaneous fluctuations in climatic factors, notably influenced by sea surface temperature (SST). This study explores the response of vegetation photosynthesis, indicated by solar-induced chlorophyll fluorescence (SIF), in India during the summer monsoon period (JJAS) under drought conditions. Notably, statistically significant associations between SST variations in the tropical Indian Ocean and land-based drought responses (precipitation, temperature, soil moisture, and SIF) were observed, which were attributed to atmospheric teleconnections. The positive phases of El Niño and the Indian Ocean Dipole (IOD) significantly impacted SST, triggering severe droughts in India in 2009 and 2015. The results revealed that positive SST anomalies weaken monsoon flow during the onset period, reducing moisture transmission to the Indian subcontinent. In 2009, the precipitation anomaly showed severe drought conditions (

Abstract India is a hotspot of the COVID-19 crisis. During the first wave, several lockdowns (L) and gradual unlock (UL) phases were implemented by the government of India (GOI) to curb the virus spread. These phases witnessed many challenges and various day-to-day developments such as virus spread and resource management. Twitter, a social media platform, was extensively used by citizens to react to these events and related topics that varied temporally and geographically. Analyzing these variations can be a potent tool for informed decision-making. This paper attempts to capture these spatiotemporal variations of citizen reactions by predicting and analyzing the sentiments of geotagged tweets during L and UL phases. Various sentiment analysis based studies on the related subject have been done; however, its integration with location intelligence for decision making remains a research gap. The sentiments were predicted through a proposed hybrid Deep Learning (DL) model which leverages the strengths of BiLSTM and CNN model classes. The model was trained on a freely available Sentiment140 dataset and was tested over manually annotated COVID-19 related tweets from India. The model classified the tweets with high accuracy of around 90%, and analysis of geotagged tweets during L and UL phases reveal significant geographical variations. The findings as a decision support system can aid in analyzing citizen reactions toward the resources and events during an ongoing pandemic. The system can have various applications such as resource planning, crowd management, policy formulation, vaccination, prompt response, etc.

Abstract Facial aesthetic surgery is an emerging branch worldwide. India, a torchbearer country in facial plastic surgery, has seen tremendous growth in medical technology, resources, and clientele over the past century. This study aims to study past practices and current trends in facial plastic surgery and aesthetic procedures in India by individually addressing commonly performed nonsurgical procedures (Botox, Kybella [Allergan, Irvine, CA], fillers, threads, micro-focused ultrasound, and nonsurgical hair restoration), and surgical procedures (rhinoplasty, blepharoplasty, hair transplant, and facelift). It also aims to further elaborate on the scope of facial aesthetics and make recommendations on prospects in the field. A structured scoping review and a subsequent evidence-based synthesis were done following an extensive literature search on various databases such as PubMed (National Institutes of Health, Bethesda, MD), LILACS (Latin American and Caribbean Center on Health Sciences Information, São Paulo, Brazil), MEDLINE (National Library of Medicine, Bethesda, MD), EMBASE (Elsevier, Amsterdam, the Netherlands), and Cochrane (Wiley, Hoboken, NJ). The initial search yielded 703 articles, out of which 20 were found to be relevant to the present study and discussed. It was found that there is an upward trend in the growth of facial plastic surgery in India, and a gradual shift in patient attitude toward nonsurgical aesthetic procedures was seen. This article affirms the growth of facial aesthetic surgery in India by highlighting the recent development and trends in the practices of surgeons. It also addresses the shortcomings in the current administration and makes recommendations to fill the existing loopholes in plastic surgery. Level of Evidence: 5

The COVID-19 pandemic will subside only through the emergence and distribution of an efficacious vaccine. The two main aspects that should be maintained in equilibrium: the dire necessity for speedy vaccine research and the need for safeguarding the research subjects, which is of utmost concern in research ethics. This opens up a discussion of what norms to follow during the clinical trials while developing the vaccine. As of now, various companies like Moderna, Pfizer, University of Oxford, Astra-Zeneca and so on have moved beyond the safety, efficacy and immunogenic studies. This narrative review explores and discusses the key principles of ethics: a principle of autonomy, beneficence, non-maleficence, and justice along with its ten general expanded principles. Furthermore, it delves into the different types of vaccines, their mechanisms, side effects, limitations, and advantages.

Takayasu arteritis is a chronic multisystem vasculitis which has been known to be associated with myriad of ophthalmological manifestations. Steroids and immunomodulators are the mainstay of medical management in early stages of disease. We report the case of a 15-year-old girl with complaints of diminution of vision in both the eyes. Her ophthalmic examination suggested a diagnosis of Takayasu retinopathy with posterior ischemic optic neuropathy in her left eye and ocular ischemic syndrome in the right eye. Digital subtraction angiography revealed a significant narrowing of major vessels originating from the arch of aorta and the left vertebral artery. She underwent left subclavian artery and left vertebral artery balloon angioplasty followed by left vertebral artery stenting. Her vision improved significantly postprocedure, suggesting that endovascular intervention in the later stages of disease is a promising treatment modality for Takayasu retinopathy.

Objectives: The Sexual and Gender Minorities (SGM) have been subject to disparities in healthcare. This study gauges and compares the demeanor of oral health task force in privately-funded and government-funded dental schools of India towards SGM cohorts. Study design: A descriptive, cross-sectional, point prevalent study was conducted following standard statements of the STROBE guidelines and using the Medical Condition Regard Scale (MCRS). It was conducted among the clinical oral health taskforce hailing from private-funded and government-funded institutes. Methods: One-way ANOVA test computed differences in mean MCRS scores among the undergraduates, postgraduates and faculty. Independent t-test compared responses of participants from private institutions and government institutions using SPSS version 17 statistical software. Results: All the respondents were mostly but not completely satisfied to work with SGM patients (MCRS score ​= ​4.55 ​± ​1.114) indicative of some underlying hesitance. Though everyone had a positive regard, undergraduates and those from private institutions felt more compassionate and showed greater willingness to put in extra efforts to help them feel at ease (P-value

In a millimeter wave (mmWave) network, user association– the process of deciding as to which base station (BS) a given user should associate with– is a crucial process, which affects the throughput and delay performance seen by users in the network and the amount of load at each BS. In the existing research literature, the stability region of a user association policy, i.e., the set of user arrival rates for which the user association policy stabilizes the network, has not been analytically characterized for any user association policy for mmWave networks. In this paper, we study the user association problem in mmWave networks and compare the performances of four user association policies: Signal to Noise Ratio (SNR) based, Throughput based, Load based and Mixed. All these policies are simple, easy to implement, distributed, and online. We use a Continuous Time Markov Chain (CTMC) model and Lyapunov function techniques to analytically characterize the stability region of each of the above four user association policies; our analysis provides several insights into the performances of the policies. We also evaluate the performances of the above four user association policies in a large mmWave network, in which link qualities fluctuate with time and users are mobile, via detailed simulations. Our results show that the Throughput based policy outperforms the other three user association policies in terms of stability region as well as average throughput, average delay, fairness and energy efficiency performance.

PURPOSE: The purpose of the study was to evaluate the corneal biomechanical properties in patients post kidney transplant and to compare them with healthy age-matched control. MATERIALS AND METHODS: In this cross-sectional study, 68 patients with kidney transplant (study group) and 68 healthy individuals (control group) were analyzed with ocular response analyzer measurements. Only the right eye of each participant was assessed for corneal hysteresis (CH), corneal resistance factor (CRF), corneal-compensated intraocular pressure (IOPcc), and Goldmann-correlated intraocular pressure (IOPg). RESULTS: The mean CH in the study group was 9.70 ± 1.62 mmHg which was significantly lower than the control group with the mean CH of 10.60 ± 1.49 mmHg (P = 0.001). The mean IOPcc was 18.17 ± 4.00 mmHg and 16.00 ± 3.94 mmHg in the study and control groups, respectively (P = 0.002). CRF and IOPg were not significantly different between groups. CONCLUSION: CH and IOPcc are altered in kidney transplant patients.

Background: Osteoarthritis (OA) of the peripheral joints is frequently related with physical disability and decline in health-related quality of life, deciphering into a significant burden on people and humankind. Although IA corticosteroid injections are being in clinical use, their long-term effects on knee OA are least studied and documented. Hence, the study was done with the aim of assessing the effect of intra-articular (IA) injection of corticosteroid in patients with OA of the knee. Methods: This prospective observational study was conducted over a period of 6 months between 40 years and 75 years with Grade I and II OA of the knee admitted under the Department of Orthopaedics, Tertiary Care Hospital, Belgaum. Patients' affected knee was injected with 80 mg of triamcinolone after the examination, and follow-ups had done at 2 weeks, 6 weeks, 3 months, and 6 months. The standard pro forma used were Visual Analog Scale (VAS), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Knee Injury and Osteoarthritis Outcome Score (KOOS). Results: The mean age of the participants was 58.96 ± 9.58, ranging from 40 to 75 years, with a slightly higher proportion of females. The proportion of Grade 1 and Grade II OA was 24% and 76%, respectively, and 54.7% had right-sided involvement. The difference between pre Rx: Pre intervention VAS score VAS score and follow-up periods at 2 weeks, 6 weeks, 3 months, and 6 months was statistically significant with respect to VAS scale, KOOS scale, and WOMAC scale (P < 0.001). Conclusion: there was no major adverse effect of corticosteroid injections, and it showed significant improvement in patients. There is a need to conduct large-scale well-controlled clinical trials with an appropriate control group, to be able to document the relative efficacy and safety of IA steroid injection.

Purpose: Hormone Replacement Therapy (HRT) is important for gender reassignment procedures for transgender persons in India. The study explores practices of male-to-female transgenders to access HRT for feminization procedures in Maharashtra, India. Methods: The first participant for this qualitative exploratory study was recruited from a community-based organization. Further participants were recruited using snowball sampling until data saturation was reached. In-depth interviews (IDI) were conducted over video platforms after written/audio-visual consent of the participants. The recorded interviews were transcribed into verbatim. The data, after each interview, were analyzed through thematic content analysis using inductive approach. The prevalent practices were identified from relevant phrases, sentences, and terms of the transcripts and were labeled and coded. Results: The study reported lack of acceptance and support from family for HRT. Some participants were abandoned or chose to run from their homes and undergoing transition without family support. Participants reported accessing HRT over-the-counter and practiced self-medication due to lack of affordability, scarcity of trained doctors and persisting stigma and discrimination at healthcare facilities. Those who self-medicated were following similar drug regimens administered to their peers or self-adjusted doses on the basis of physical achievements. Participants of Hijra kinships were dependent on their leaders to avail HRT services. Conclusions: There is a need to develop standard HRT guidelines for feminization procedures and include HRT services in health programs. There is a necessity to train healthcare professionals and establish a center of excellence for these procedures in Maharashtra.

Human Histone Deacetylases (HDACs) regulate gene expression and are important drug targets. Here, the authors combine NMR measurements, enzymatic assays and molecular dynamics simulations and show that HDAC8 samples a catalytically active and an inactive state and further demonstrate that mutations and ligand binding alter the populations of the two states, which is of interest for inhibitor design.

Introduction: This observational study with the random sampling was done to locate maximum discomfort and pain experienced with three different nickel–titanium (NiTi) arch wires during the initial leveling and aligning phase of orthodontic treatment in moderate crowding in mandibular arch, and variations in pain and discomfort level associated with area, gender, and age. Materials and Methods: This observational survey was conducted on a sample of 60 orthodontic patients (20 in each group of arch wire) taking little’s irregularity (moderate 4–6 mm) crowding as criteria. The survey has started on the day of bonding along with three different types of initial arch wires (Superelastic NiTi, thermoelastic NiTi, or conventional NiTi), On the same day of bonding appointment and arch wire insertion, all participants were given the Modified Mc Gill pain questionnaire with the Visual Analog Scale and asked to fill and submit to the investigator on their next appointment positively. Results: The results were statistically insignificant in relation to the objectives of an observational study. Conclusion: Any of the three arch wires independent of age, gender, and area can be used by orthodontist during initial leveling and alignment phase of the treatment since the pain and discomfort level for all of them are same.

Non-orthogonal multiple access (NOMA) is being widely considered as a potential candidate to enhance the spectrum utilization in beyond fifth-generation (B5G) communications. In this article, we derive closed-form expressions for the ergodic rate and outage probability of a multiple-antenna-assisted NOMA-based cooperative relaying system (CRS-NOMA). We present the performance analysis of the system for two different receive diversity schemes- selection combining (SC) and maximal-ratio combining (MRC), in Nakagami-$m$ fading. We also evaluate the asymptotic behavior of the CRS-NOMA to determine the slope of the ergodic rate and diversity order. Our results show that in contrast to the existing CRS-NOMA systems, the CRS-NOMA with receive diversity outperforms its orthogonal multiple access (OMA) based counterpart even in the low-SNR regime, by achieving higher ergodic rate. Diversity analysis confirms that the CRS-NOMA achieves full diversity order using both SC and MRC schemes, and this diversity order depends on both the shape parameter $m$ and the number of receive antennas. We also discuss the problem of optimal power allocation for the minimization of the outage probability of the system, and subsequently use this optimal value to obtain the ergodic rate. An excellent match is observed between the numerical and the analytical results, confirming the correctness of the derived analytical expressions.

Background: Incorporation of information technology (IT) advancements in health care has gained wide acceptance in the last two decades. Developed countries have successfully incorporated this in their health-care system, thus improving health care. However, only a limited application of IT is seen in developing countries. Aim: The aim of the study was to assess the knowledge and utilization of computers among health-care professionals in Mumbai, India. Methodology: A cross-sectional questionnaire study was conducted among dental, medical, Ayurveda, and homeopathy practitioners. A total of 1000 respondents (250/group) were included in the study. The first section of the questionnaire sought sociodemographic information of respondents, and the second section sought information on the level to which health-care practitioners apply computers to tasks at their places of work, accessibility of the Internet, views regarding the cost of a computer, and the problems associated with the medical recording system at their places of work. Data were entered into Microsoft Excel and analyzed using SPSS version 17. P ≤ 0.05 was considered statistically significant. Results: Two hundred and fifty participants in each profession were included in the study. The age ranged between 23 and 65 years. Majority (>80%) of the participants had knowledge about word processing program and slide preparation for presentation. On comparison, knowledge was more in medical and dental professionals (P = 0.04). Almost 80% were in the opinion that electronic system for records is better than paper-based recording system, but majority of them reported lack of such facility at their workplace. Knowledge and utilization was higher among the doctors having postgraduate qualification compared to undergraduates (P = 0.002). Conclusion: The study showed average knowledge but lack of utilization of computers by health-care professionals in routine practice. More research should be done into the factors that play an important role in computer use among health-care professionals in developing societies.

The phenomenon of heat stress leading to ferroptosis-like cell death has recently been observed in bacteria as well as plant cells. Despite recent findings, the evidence of ferroptosis, an iron-dependent cell death remains unknown in microalgae. The present study aimed to investigate if heat shock could induce reactive oxygen species (ROS) and iron-dependent ferroptotic cell death in Chlamydomonas reinhardtii in comparison with RSL3-induced ferroptosis. After RSL3 and heat shock (50 °C) treatments with or without inhibitors, Chlamydomonas cells were evaluated for cell viability and the induction of ferroptotic biomarkers. Both the heat shock and RSL3 treatment were found to trigger ferroptotic cell death, with hallmarks of glutathione–ascorbic acid depletion, GPX5 downregulation, mitochondrial dysfunction, an increase in cytosolic calcium, ROS production, lipid peroxidation, and intracellular iron accumulation via heme oxygenase-1 activation (HO-1). Interestingly, the cells preincubated with ferroptosis inhibitors (ferrostatin-1 and ciclopirox) significantly reduced RSL3- and heat-induced cell death by preventing the accumulation of Fe2+ and lipid ROS. These findings reveal that ferroptotic cell death affects the iron homeostasis and lipid peroxidation metabolism of Chlamydomonas, indicating that cell death pathways are evolutionarily conserved among eukaryotes.

Aim: This study aims to assess the prevalence of dental fluorosis and its association with dental caries, oral health behaviors, oral-health-related quality of life and parents’ perceptions among preschool children in the 3–5-year-old preschool children living in the Belagavi district of Karnataka, a non-endemic fluorosis region. Methods: A descriptive cross-sectional questionnaire-based study was conducted among 1200 individuals of the preschool population from 48 government-sponsored child-care development centers in Belagavi, Karnataka, over a three-month period. They were examined following the Dean’s fluorosis index (1942) and dmft (decayed, missed, and filled) scores of the participants were also recorded. Parents’ perception of oral health was assessed using the self-administered Early Childhood Oral Health Impact Scale (ECOHIS). SPSS software (version 20) was used for statistical analysis. Chi-square test computed categorical data. One-way ANOVA test was used for multiple group comparisons. p < 0.05 was considered statistically significant. Results: Of the 1200 children examined, 10 (0.83%) children exhibited dental fluorosis. Of the 10 children having fluorosis, six had fluorosis present on two or more of their primary teeth, and four had fluorosis on four or more teeth. The mean dmft score was 3.01 ± 1.38 to 3.60 ± 1.72 in 3–5-year-old children, respectively, with statistical significance difference (p < 0.001). The mean score of oral health-related quality of life was 10.74 ± 2.06, which was significantly correlated to the child’s age and parents’ education level (p < 0.05). Conclusion: The study shows a negligible amount of prevalence of dental fluorosis in the non-endemic fluorosis residential district. It also elucidates that children from lower and lower-middle socioeconomic status are more prone to suffer from dental fluorosis as compared to other groups. The mean score of ECOHIS increased proportionally with the caries experience, indicating a significant relationship between the dmft and ECOHIS score. Deciduous dentition fluorosis is often neglected, especially in areas that are not considered endemic for fluorosis and with only optimum fluoride levels in their groundwater, which supports the disease’s nature as multi-factorial and shows that a broader perspective is of prime importance to assess, diagnose, and prevent dental fluorosis among the preschoolers, thereby appraising their overall health and hygiene status.

BACKGROUND: This exploratory study was done to assess the multidimensional perfectionism trends among various core and allied health care professionals in a major Indian metropolitan city of western India. Unlike other scales, here we considered both individual and intersubjective components of perfectionism by introducing three trait dimensions – self-oriented perfectionism, other-oriented perfectionism, and socially prescribed perfectionism. MATERIALS AND METHODS: A cross-sectional descriptive type of study was conducted with total sample consisting of 500 participants with the main motive of evaluation and comparison of the multidimensional perfectionism among interns of the core and allied health care professionals from fields of medicine, dentistry, ayurveda, and homeopathy residing in the major Indian metropolitan cities of western India. RESULTS: This study showed that under the self-oriented domain, highest mean score is of medical faculty (73.97). In other-oriented domain, dental (62.62) and homeopathy (62.38) professionals have almost similar mean. Lowest being of ayurveda (61.65) compared to the highest score of the medical fraternity (67.62). In the socially prescribed domain, medical professionals (65.53) have the highest mean though it is the lowest mean value of the medical faculty compared to other two domains. Chi-square test is applied to the data for the questions among all the three domains. Correlation has been deduced by applying Pearson's correlation to the collected data from the study. The degree of correlation between self-oriented with self-oriented is 1, self-oriented with other-oriented is 0.763, and that of self-oriented with socially oriented is 0.678. CONCLUSION: Medical professionals scoring maximum in self-oriented perfectionism compared to other two domains reflect their extreme personal standards. Medical professionals are followed by dental professionals in self oriented perfectionism who are demanded of perfection in their routine practice. Ayurveda and homeopathy professionals scored better in other-oriented and socially prescribed perfectionism attributing to their sentiments of fulfilling the expectations and demands of others.

BACKGROUND: Since the outbreak of the pandemic, the release of the COVID (Corona Virus Disease)-19 vaccine was highly anticipated. Nevertheless, vaccine availability does not symbolize the end of pandemic due to ongoing vaccine hesitancy and anti-vaccination movements. The objective of this study is to evaluate COVID-19 vaccine acceptance among pregnant and lactating individuals in Maharashtra state, India. MATERIALS AND METHODS: A descriptive cross-sectional study was conducted via a hybrid approach using various digital portals such as Whatsapp, telegram, and physical distribution to those who did not have access to smartphone devices. A probability proportional sampling strategy was deployed. A pre-validated structured self-administered questionnaire tool designed by Freeman et al. 2020 (Oxford COVID-19 vaccine hesitancy scale) was used, which consisted of seven close-ended targeted and focused questions. Analysis of several survey items and vaccine acceptance was conducted using the Chi-square test. RESULTS: Analysis revealed that 58% of individuals were willing to take vaccines after government approval and 26% of individuals showed hesitancy toward vaccination. When compared, lactating individuals showed less vaccine hesitancy (22%) than pregnant individuals (27%). The maximum vaccine hesitancy was observed in the third trimester of pregnancy (29.5%). CONCLUSIONS: Trust in vaccines is a crucial factor and is dependent on the ability of the government in promoting vaccines through effective communication; this can be one of the reasons for the high level of acceptance and awareness toward COVID-19 vaccination in this study.

Purpose: The purpose of this study is to determine the corneal biomechanical properties in patients with connective tissue disorders (CTDs) and compare them with age-matched healthy control. Materials and Methods: In this cross-sectional study, 62 patients (study group) with CTDs and 44 healthy patients (control) were analyzed by Ocular Response Analyzer (Reichert Inc., Depew, N. Y., USA) and Corneal Pachymetry (SP-2000, Tomey, Nagoya, Japan). The right eye of all patients was assessed for corneal hysteresis (CH), corneal resistance factor (CRF), corneal-compensated intraocular pressure (IOPc), and Goldmann-correlated intraocular pressure (IOPg), and central corneal thickness (CCT). Results: Mean CH (9.54 ± 1.66 mm Hg [study group] and 10.62 ± 1.21 mm Hg [control]; P = 0.013) and mean CRF (9.95 ± 1.47 mm Hg [study group] and 10.76 ± 1.25 mm Hg [control]; P = 0.040) were significantly different between groups. Mean IOPc, IOPg, and CCT were not significantly different between groups. In the subgroup analysis of study cases (oral steroid versus nonsteroid therapy) of CTDs, CRF which was significantly lower in steroid (9.25 mm Hg) compared nonsteroid therapy (10.20 mm Hg) (P = 0.045), whereas, other parameters such as CCT, CH, IOPc, and IOPg were comparable between the two groups (P ≥ 0.05). Conclusion: CH is altered in CTDs which may be an independent risk factor for glaucoma and might underestimate intraocular pressure so CH is an important consideration in patients with CTDs.s

Plant disease has long been one of the major threats to world food security due to reduction in the crop yield and quality. Accurate and precise diagnosis of plant diseases has been a significant challenge. Cost-effective automated computational systems for disease diagnosis would facilitate advancements in agriculture. The objective of this paper is to explore computer vision based Artificial Intelligence method for automating the identification of yellow rust disease and improve the accuracy of plant disease identification. The dataset of 2000 images of wheat leaf were collected in the real life experimental conditions of ICAR-Indian Agricultural Research Institute, New Delhi in the crop season during January-April, 2019. Based on our experiment, we propose a deep learning-based approach to detect healthy leaves and yellow rust infected leaves in the wheat crop. The experiments are implemented in python with PyCharm IDE, utilizing the Keras deep learning library backend with TensorFlow. The proposed model achieves 97.3% testing accuracy and 98.42% as the training accuracy. The accuracy of the developed model can be improved further by training it with larger size of the dataset in future. In future, accuracy of computer vision based AI models can be improved by using the larger size training datasets. Also, these models can be used for providing automatic advisory services to the farmers, thereby, adding much needed assistance to the overloaded extension experts.

Urdbean (Vigna mungo L. Hepper) is one of the important pulse crops. Its cultivation is not so popular during summer seasons because this crop is unable to withstand excessive heat stress beside lack of humidity in the atmosphere. Therefore, a panel of 97 urdbean diverse genotypes was assessed for yield under stress and non-stress conditions with an aim to identify heat tolerant genotypes. This study identified 8 highly heat tolerant and 35 highly heat sensitive genotypes based on heat susceptibility index. Further, physiological and biochemical traits-based characterization of a group of six highly heat sensitive and seven highly heat tolerant urdbean genotypes showed genotypic variability for leaf nitrogen balance index (NBI), chlorophyll (SPAD), epidermal flavnols, and anthocyanin contents under 42/25°C max/min temperature. Our results showed higher membrane stability index among heat tolerant genotypes compared to sensitive genotypes. Significant differences among genotypes for ETR at different levels of PAR irradiances and PAR × genotypes interactions indicated high photosynthetic ability of a few genotypes under heat stress. Further, the most highly sensitive genotype PKGU-1 showed a decrease in different fluorescence parameters indicating distortion of PS II. Consequently, reduction in the quantum yield of PS II was observed in a sensitive one as compared to a tolerant genotype. Fluorescence kinetics showed the delayed and fast quenching of Fm in highly heat sensitive (PKGU 1) and tolerant (UPU 85-86) genotypes, respectively. Moreover, tolerant genotype (UPU 85-86) had high antioxidant activities explaining their role for scavenging superoxide radicals (ROS) protecting delicate membranes from oxidative damage. Molecular characterization further pinpointed genetic differences between heat tolerant (UPU 85-86) and heat sensitive genotypes (PKGU 1). These findings will contribute to the breeding toward the development of heat tolerant cultivars in urdbean.

Extrahepatic portal venous obstruction (EHPVO) usually presents with upper gastrointestinal bleed in the first decade of life. Symptomatic portal hypertensive biliopathy is seen in a minority of patients with EHPVO. With use of endoscopic intervention, biliary drainage is maintained in these patients. Various procedural complications have been linked while performing endoscopic retrograde cholangiography and stenting; however, these are managed conservatively. Here, we are highlighting a case of EHPVO with symptomatic portal biliopathy in which the patient bled from paracholedochal collateral after biliary stenting and was managed successfully with a multidisciplinary approach.

Wolfram syndrome (WFS) is a rare neurodegenerative disorder characterized by young-onset diabetes mellitus, central diabetes insipidus, optic nerve atrophy, and hearing loss. The ophthalmic association of this order has been limited to optic nerve atrophy. We report here a case of WFS and its disease course with childhood glaucoma as a rare ophthalmic manifestation which has been reported just once earlier. The patient had young-onset diabetes mellitus (insulin dependent), diabetes insipidus, and optic-disc pallor suggestive of partial optic atrophy. However, hearing assessment was normal at the time of presentation and in due course of disease. Glaucoma is one of the rare possible ocular manifestations of WFS which should be highly considered while evaluating patient with this disorder.

The use of Calotropis plant is widespread in the Indian system of Medicine (Ayurveda) and for religious purpose as an offering to Hindu god. Having an advantage of growing abundantly in unfavorable and harsh atmosphere, this shrub is easily found in many Indian states. We report here a case, in which a young boy developed severe corneal edema in both eyes following the application of Calotropis latex over the scalp area for the treatment of alopecia as prescribed by some Ayurveda practitioner. Patient responded well with the treatment including topical steroids with a complete resolution of corneal edema and persistent endothelial cell loss at the end of 6 weeks. This case report highlights the possibility of Calotropis-induced corneal endothelial toxicity while using it as an Ayurveda remedy and its management. Public education is must regarding this particularly in India where the use and availability of Calotropis shrub is widespread.

We encountered a 73-year-old patient who presented with right upper abdominal pain and jaundice. On evaluation, he was found to have cholelithiasis with choledocholithiasis. Endoscopic retrograde cholangiography was attempted, but during the procedure, the wire snapped and the dormia basket got retained in the common bile duct (CBD). Laparoscopic CBD exploration was performed and the basket with calculus was found impacted in the lower CBD. The basket was disengaged by holding its tip through another dormia introduced through choledochoscope and basket with all calculi retrieved. Clearance of CBD was ascertained with choledochoscopy and CBD was closed primarily. He did well in the post-operative period and was discharged on the 5th post-operative day. At 1-year follow-up, the patient was doing well. Laparoscopic CBD exploration is a feasible and safe option for the retained dormia basket. We utilised the 'dormia with dormia technique' to retrieve the impacted basket which has not been reported before.

Abstract Using a dynamical model (VECTRI) for malaria transmission that accounts for the influence of population and climatic conditions, malaria transmission dynamics is investigated for a highly endemic region (state of Odisha) in India. The model is first calibrated over the region, and subsequently numerical simulations are carried out for the period 2000–2013. Using both model and observations we find that temperature, adult mosquito population, and infective biting rates have increased over this period, and the malaria vector abundance is higher during the summer monsoon season. Regionally, the intensity of malaria transmission is found to be higher in the north, central and southern districts of Odisha where the mosquito populations and the number of infective bites are more and mainly in the forest or mountainous ecotypes. We also find that the peak of the malaria transmission occurs when the monthly mean temperature is in the range of ~28–29 °C, and monthly rainfall accumulation in the range of ~200–360 mm.

A completely randomized design was applied on pomegranate arils for several post-harvest treatments before the packaging in polypropylene boxes for 15 days at (5 ± 1 °C, 95 ± 2% RH): control (untreated), Aloe vera gel (10% or 20%), 10% Aloe vera + rosehip oil (0.25% or 0.50%), 20% Aloe vera + rosehip oil (0.25% or 0.50%), 10% Aloe vera + cinnamon oil (0.25% or 0.50%), and 20% Aloe vera + cinnamon oil (0.25% or 0.50%). Aloe vera in combination with cinnamon oil resulted in an enhanced shelf life (15 d) compared to the uncoated arils (control). The Aloe vera + cinnamon oil coating led to the retention of total phenolics, anthocyanin, ascorbic acid, and antioxidant activity in context to the quality attributes. Moreover, this coating showed minimal change in the color, total soluble solids, titratable acidity, firmness, delayed ethylene production, respiration rate, and physiological weight loss. Also, A. vera + cinnamon oil coatings significantly (p < 0.05) inhibited the total counts of mesophilic aerobics, coliforms, and yeast and mold. Organoleptic attributes, including color, flavor, aroma, texture, and purchase acceptability were higher for the arils that were treated with 10% A. vera + 0.25% cinnamon oil; thus, this highly economical and easily available coating material can be formulated and used commercially to extend the shelf life and enhance the profit of the producers and/or processors.