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Introduction: Variations in the Mandibular Canal (MC) can be categorised based on shape (oval, round, or pear-shaped) and may include various accessory canals, such as bifid, trifid, or temporal crest canals. These variations are clinically significant because if, they are overlooked, they can lead to various complications. While both 2 Dimensional (2D) and 3D imaging modalities can evaluate these variations, Cone Beam Computed Tomography (CBCT) offers superior resolution, reduced radiation exposure, and a comprehensive 3D view. Aim: To analyse the prevalence and variations of the MC, as well as its diameter and length among the Indian population. Materials and Methods: A retrospective observational study was conducted in the Department of Oral Medicine and Radiology at Rajarajeswari Dental College and Hospital, Ramohalli Cross, Mysuru Road, Bengaluru, Karnataka, India over a period of six months from October 2023 to April 2024. Total of 190 CBCT images were randomly collected from the CBCT archives, spanning ages 16 to 75 years. The length and diameter of the MC were measured using CBCT tools. The prevalence of variations in the MC was determined according to the classification provided for bifid and trifid canals. The Chi-square test was employed to compare the anatomical variations of the MC based on age and gender, while an independent Student’s t-test was used to compare the mean length and mean diameter based on age groups and gender. Results: The mean age of the study population was 37.96±14.63 years. Among the 190 images, 105 (55.3%) belonged to males and 85 (44.7%) belonged to females. The frequency of bifid canals was comparatively higher than that of trifid and temporal crest canals, with incidence rates of 14.7%, 3.7%, and 5.3%, respectively, showing no significant association with age or gender. Females exhibited a bilateral reduction in vertical diameter (mean difference of 0.37 mm compared to males at 0.40 mm). The mean length of the MC was notably longer on the left-side among males (mean MC length on the left-side: 69.36 mm compared to the right-side: 67.64 mm). Conclusion: The present study highlights the importance of understanding variations in the MC. CBCT imaging enhances the comprehension of MC anatomy, facilitating accurate diagnostic and treatment strategies in dentistry and maxillofacial surgery.

Excessive and uncontrolled use of the Internet leads to Internet addiction and negatively affects the physical and mental health of adolescents. Normalization of the Internet and electronic gadgets during the COVID-19 pandemic increased the vulnerability of adolescents to developing behavioral dependency on Internet use. Intervention is needed to protect the formative years and to grow as responsible net users. Aim To study the effectiveness of psychoeducational module-based community intervention on Internet addiction in adolescents. Method This was a quasiexperimental study with pre- and post-test design. The study subjects were homogeneous and purposively selected single group from a secondary school in a city in southern India. Group intervention was executed for 5 to 6 hours with a prevalidated psychoeducation module on Internet addiction. The intervention focused on the prevention and control of Internet addiction. The level of Internet addiction was measured by using Kimberly Young’s Internet Addiction Test-20. Results Of the total of 144 subjects, 72% were males and 28% were females. All were 14–16 years of age and were well versed with Internet gadgets and smartphone use and self-reported the use of the Internet/gadgets for at least 2 hours a day for recreational purposes. Descriptive analysis and RMANOVA show interventions were significantly effective (P < 0.001). Among total participants, the Internet addiction found at preintervention was 44.75 ± 19.69, with a postintervention at first month of 34.73 ± 16.14 and a postintervention at second month of 28.84 ± 13.98; reduced duration of Internet use was significant (P < 0.001) at postintervention. Conclusion The psychoeducation module-based group intervention in community school settings is well accepted and effective on Internet addiction in adolescents.

Introduction: Unprovoked seizures are common events in children, occurring as single episodes or recurring, as seen in epilepsy. The First Unprovoked Seizure (FUS) poses diagnostic challenges and raises concerns about aetiology, the initiation of anti-seizure medication and prognosis. The roles of Electroencephalogram (EEG) and neuroimaging in the diagnosis and management of FUS are debated. While EEGs play a crucial role in identifying seizure onset and epilepsy syndromes, neuroimaging aids in diagnosing underlying pathologies. Despite recommendations for routine EEGs in evaluating FUS, the role of neuroimaging remains less defined. Aim: To characterise the clinical profile of children presenting with FUS and investigate the relationship between clinical features, EEG findings and neuroimaging findings. Additionally, it explores the aetiology of FUS based on patterns of neuroradiological abnormalities and EEG changes. Materials and Methods: A cross-sectional study was conducted from April 2021 to July 2022 in the Paediatric Intensive Care Unit (PICU) and Paediatric Ward at Government TD Medical College, Alappuzha, Kerala, India. A total of 72 children aged beyond the neonatal period up to 12 years who were admitted with FUS at a tertiary care centre over an 18-month period were included in the study. Clinical data were recorded and standard techniques were used to perform EEGs and Magnetic Resonance Imaging (MRI) on all subjects. Results: The minimum age of participants in the study was two months, with a median age of 3.9 years. Among the 72 participants, most were in the infantile age group, with 23 (31.94%) falling into this category. The most frequently observed seizure type was generalised onset, with 47 (65.28%) cases. EEG irregularities were noted in 25 (34.72%) subjects, while 21 (29.16%) showed MRI abnormalities. Most frequent EEG abnormalities included generalised spike-and-wave discharges in 7 (28%) cases and modified hypsarrhythmia in 6 (24%) cases. The MRI scans revealed ischaemic changes and cerebral dysgenesis, each occurring in 7 out of 21 cases. A considerable proportion of children with abnormal EEGs had abnormal neuroimaging findings. Conclusion: The study recommends that both EEG and MRI should be included as part of the routine evaluation for children presenting with FUS. In cases with abnormalities in EEG, the detection rate of abnormalities through MRI was statistically significant. Additionally, MRI should be performed even when the EEG results are normal.

Abstract Formyl peptide receptors (FPR), part of the G-protein coupled receptor superfamily, are pivotal in directing phagocyte migration towards chemotactic signals from bacteria and host tissues. Although their roles in acute bacterial infections are well-documented, their involvement in immunity against tuberculosis (TB) remains unexplored. Here, we investigate the functions of Fpr1 and Fpr2 in defense against Mycobacterium tuberculosis (Mtb), the causative agent of TB. Elevated levels of Fpr1 and Fpr2 were found in the lungs of mice, rabbits and peripheral blood of humans infected with Mtb, suggesting a crucial role in the immune response. The effects of Fpr1 and Fpr2 deletion on bacterial load, lung damage, and cellular inflammation were assessed in a murine TB model utilizing hypervirulent strain of Mtb from the W-Beijing lineage. While Fpr2 deletion had no impact on disease outcome, Fpr1-deficient mice demonstrated improved bacterial control, especially by macrophages. Bone marrow-derived macrophages from these Fpr1 −/− mice exhibited an enhanced ability to contain bacterial growth over time. Contrarily, treating genetically susceptible mice with Fpr1-specific inhibitors caused impaired early bacterial control, corresponding with increased Mtb persistence in necrotic neutrophils. Furthermore, ex vivo assays revealed that Fpr1 −/− neutrophils were unable to restrain Mtb growth, indicating a differential function of Fpr1 among myeloid cells. These findings highlight the distinct and complex roles of Fpr1 in myeloid cell-mediated immunity against Mtb infection, underscoring the need for further research into these mechanisms for a better understanding of TB immunity.

Abstract Lung cancer remains the leading cause of cancer mortality, despite declining smoking rates. Previous lung cancer GWAS have identified numerous loci, but separating the genetic risks of lung cancer and smoking behavioral susceptibility remains challenging. Here, we perform multi-ancestry GWAS meta-analyses of lung cancer using the Million Veteran Program cohort (approximately 95% male cases) and a previous study of European-ancestry individuals, jointly comprising 42,102 cases and 181,270 controls, followed by replication in an independent cohort of 19,404 cases and 17,378 controls. We then carry out conditional meta-analyses on cigarettes per day and identify two novel, replicated loci, including the 19p13.11 pleiotropic cancer locus in squamous cell lung carcinoma. Overall, we report twelve novel risk loci for overall lung cancer, lung adenocarcinoma, and squamous cell lung carcinoma, nine of which are externally replicated. Finally, we perform PheWAS on polygenic risk scores for lung cancer, with and without conditioning on smoking. The unconditioned lung cancer polygenic risk score is associated with smoking status in controls, illustrating a reduced predictive utility in non-smokers. Additionally, our polygenic risk score demonstrates smoking-independent pleiotropy of lung cancer risk across neoplasms and metabolic traits.

Accurate lung cancer classification in magnetic resonance imaging (MRI) remains challenging due to the difficulty in detecting cancerous patterns. In response, this study introduces an attention-based VGG19 neural network for enhanced classification performance. Leveraging the VGG19 architecture's deep learning capabilities, our model incorporates attention mechanisms to selectively emphasize salient features during training. The attention-based approach addresses the challenge of discerning subtle patterns indicative of malignancy, significantly improving classification accuracy. We train and evaluate the model on a diverse dataset, ensuring its capacity to generalize across various patient cases. The attention mechanism proves effective in prioritizing critical regions within MRI scans, enhancing sensitivity and specificity in lung cancer detection. Additionally, we employ gradient analysis to interpret the decision-making process, providing valuable insights into influential features. Results demonstrate the proposed model's superiority over baseline approaches, showcasing its efficacy in inaccurate lung cancer classification. The attention-based VGG19 neural network not only advances classification capabilities but also offers interpretability crucial for gaining trust in automated diagnostic systems. This research contributes a robust solution to a pressing medical imaging challenge, holding promise for practical implementation in clinical settings to support radiologists in timely and accurate lung cancer diagnosis.

Abstract Background The importance of evidence-informed health policymaking is widely recognized. However, many low- and middle-income countries lack evidence-informed mental health policies due to insufficient data, stigma or lack of resources. Various policies address adolescent mental health in India, but published knowledge on their evidence-informed nature is limited. In this paper, we report results of our analysis of the role of evidence in adolescent mental health policymaking in India. Methods This paper reports findings from the document analysis of key policy documentation (n = 10) and in-depth interviews with policy actors including policymakers, researchers, practitioners and intermediaries (n = 13). Framework analysis was used, informed by the components of a conceptual framework adapted from the literature: actors, policy and evidence processes, nature of evidence itself and contextual influences. Results Results show that adolescent mental health policies in India were generally evidence-informed, with more key evidence becoming generally available from 2010 onwards. Both formal and informal evidence informed mental health policies, particularly agenda-setting and policy development. Mental health policymaking in India is deemed important yet relatively neglected due to competing policy priorities and structural barriers such as stigma. Use of evidence in mental health policymaking reflected differing values, interests, relative powers and ideologies of policy actors. Involvement of government officials in evidence generation often resulted in successful evidence uptake in policy decisions. Policy actors often favoured formal and quantitative evidence, with a tendency to accept global evidence that aligns with personal values. Conclusions There is a need to ensure a balanced and complementary combination of formal and informal evidence for policy decisions. Evidence generation, dissemination and use for policy processes should recognize evidence preferences by key stakeholders, while prioritizing locally available evidence where possible. To help this, a balanced involvement of policy actors can ensure complementary perspectives in evidence production and policy agendas. This continued generation and promotion of evidence can also help reduce societal stigma around mental health and promote mental health as a key policy priority.

Abstract H-bonded liquid crystals (HBLCs) are newly synthesized with PyBF viz., (4-pyridyl)-benzylidene-4′-fluoro aniline as the proton acceptor which is non-mesogenic and alkyloxy benzoic acids viz., nOBAs (n = 3, 12) as the mesogenic proton donors. The H-bond formed is confirmed by FTIR spectroscopy. Polarizing Optical Microscopy confirmed the H-bonded compound’s mesomorphic textures, and the thermal analysis is carried out using a Differential Scanning Calorimeter. The influence of fluorine atom on mesomorphic stability is studied. The nonlinear optical properties of the H-bonded compound is studied using DFT theoretical approach. This work supports the SDG-9 of the United Nations. Graphical abstract

Background and Aim: Individuals exposed to heavy metals are known to experience physiological and biochemical changes, which raise questions regarding possible health effects. In our earlier research, significant concentrations of vanadium (V), mercury (Hg), cadmium (Cd), and arsenic (As) were found in food and medical packaging materials. This study aimed to evaluate the cognitive, physiological, and biomarker effects of select heavy metal exposure in Wistar rats. Materials and Methods: Over a 13-week period, five groups of rats (six rats per group, with both males and females) were assessed to study the effects of oral exposure to V, Hg, Cd, and As. The study focused on evaluating physiological, cognitive, and biochemical markers, with the results compared to those of a control group. Results: Comparing all groups of rats treated with heavy metals, the study revealed significant deficits in learning and spatial orientation (water maze test); rats treated with V, Cd, and Hg showed signs of depression. Rats treated with As also showed signs of hyperactivity, which may indicate a connection to attention-deficit hyperactivity disorder (rat tail suspension test). The groups exposed to different heavy metals varied in their physiological (water and food intake, urine and feces output) and biochemical responses (enzyme-linked immunosorbent assay, prostate-specific antigen, T3, T4, thyroid-stimulating hormone, carcinoembryonic antigen, and blood glucose analysis), with Hg exhibiting the strongest impacts. Rats given Hg showed signs of hypothyroidism, such as increased food intake and weight gain. Conclusion: This study clarifies the complex relationships between exposure to heavy metals and various biological systems, shedding light on their potential health impacts. The findings provide insight into the effects of heavy metals on neural and thyroid tissues, as well as their propensity to cause cellular dedifferentiation. However, the study has certain limitations, such as the relatively short duration of exposure and the use of only a few selected biomarkers. Future research should focus on long-term exposure studies, incorporate a broader range of biomarkers, and explore the underlying mechanisms at a molecular level to better understand the full spectrum of health risks associated with heavy metal exposure.

Abstract Background India has the highest number of estimated deaths from cervical cancer globally, with most cases attributed to Human papillomavirus (HPV). The World Health Organization recommends primary HPV vaccination for girls ages 9–14, with catch-up vaccination for young women ≥ 15 if feasible. India authorized a new, inexpensive HPV vaccine in 2022; given anticipated vaccine expansion, we conducted a mixed-methods study exploring acceptability of HPV catch-up vaccination for young emerging adult women in rural Mysore, India. Methods Between September 2022-April 2023, participants were recruited with assistance from community health workers. In the qualitative phase, gender-stratified, audio-recorded focus group discussions (FGDs) were conducted in Kannada with emerging adults ages 18–26. FGDs were transcribed, translated, and analyzed using rapid approach to identify key HPV vaccination attributes. In the quantitative phase, a conjoint analysis was conducted to assess the impact of seven vaccination attributes on likelihood to vaccinate (LTV). Women ages 18–26 ranked LTV in eight hypothetical vaccination scenarios, and the relative impact of each attribute on LTV was calculated. All participants received education about cervical cancer, HPV, and HPV vaccination. Results Fifty-two young adults (female = 31, male = 21) participated in seven FGDs, and 101 women participated in the conjoint analysis. Average age of the 153 participants was 22.5 years, 66.7% had married, and all had completed high school. Only 17.9% had heard of cervical cancer, and 2.7% knew of the HPV vaccine. FGDs identified seven HPV vaccination attributes: cost, vaccination location, family support, peer influence, dose number, side effects, and risk of acquiring HPV. In the conjoint analysis, all attributes except dose number significantly impacted LTV. Family support (impact score = 19.37, p

Abstract Despite the amplified vector-control measures, sporadic-epidemic outbreaks of dengue incidence occurred in Delhi, intermittently. This study aimed to identify the major individual, household, and community level predictors of dengue cases in the hot-spots of Delhi. Primary survey data was collected from the selected sample of 347 households, at the South- West district of Delhi. This survey has interviewed the head of the household to collect the information of dengue incidences within last one year and household information related to socio-economic, demographic, environmental factors, such as housing pattern, density, water storage containers, drainage and garbage collection site and method, mosquito protection measures and awareness. Among 347 households, 54 households had reported dengue cases, and 69 individuals had reported dengue cases in last one year. Garbage and water collection site and methods, drainage and household type, household monthly income, indoor bamboo plants, construction site (within 500 m), presence of tertiary care hospital, were the significant predictors of dengue incidences in Delhi. In conclusion, strategic control measures and intense social interventions such as household and community awareness, promotion of healthy practices should be promoted to control the dengue incidences.

Abrasive water suspension jet (AWSJ) machining on carbon fiber-reinforced polymer (CFRP) composite-based orthopedic implants yielded insightful results based on experimental data and subsequent statistical validations. Underwater AWSJ cutting consistently outperformed free air cutting, with numerical findings demonstrating its superiority. For instance, at #100 abrasive size and 5 mm standoff distance (SOD), the material removal rate (MRR) peaked at 2.44 g/min with a kerf width of 0.89 mm and a surface roughness (SR) of 9.25 µm. Notably, the increase in abrasive size correlated with higher MRR values, such as achieving 2.15 g/min at #120 grit and 3 mm SOD. Furthermore, optimization techniques like the Taguchi method and response surface methodology (RSM) were applied to refine machining parameters. These methodologies enhanced MRR, exemplified by achieving 2.10 g/min with #120 abrasive size and 5 mm SOD in underwater cutting conditions. The research explored the impact of key process parameters, namely, the speed, feed, and SOD on the MRR, kerf width, and SR in both free air cutting and underwater cutting conditions, which is one of the novel research endeavors in the domain of abrasive jet machining of composites.

The application of extracellular vesicles, particularly exosomes (EXs), is rapidly expanding in the field of medicine, owing to their remarkable properties as natural carriers of biological cargo. This study investigates utilization of exosomes derived from stromal cells of tumor adjacent normal tissues (NAF-EXs) for personalized medicine, which can be derived at the time of diagnosis by endoscopic ultrasound. Herein, we show that exosomes (EXs) derived from NAFs demonstrate differential bio-physical characteristics, efficient cellular internalization, drug loading efficiency, pancreatic tumor targeting and delivery of payloads. NAF-derived EXs (NAF-EXs) were used for loading ormeloxifene (ORM), a potent anti-cancer and desmoplasia inhibitor as a model drug. We found that ORM maintains normal fibroblast cell phenotype and renders them incompatible to be triggered for a CAF-like phenotype, which may be due to regulation of Ca2+ influx in fibroblast cells. NAF-EXs-ORM effectively blocked oncogenic signaling pathways involved in desmoplasia and epithelial mesenchymal transition (EMT) and repressed tumor growth in xenograft mouse model. In conclusion, our data suggests preferential tropism of NAF-EXs for PDAC tumors, thus imply feasibility of developing a novel personalized medicine for PDAC patients using autologous NAF-EXs for improved therapeutic outcome of anti-cancer drugs. Additionally, it provides the opportunity of utilizing this biological scaffold for effective therapeutics in combination with standard therapeutic regimen.

Background: Clinical laboratories function to deliver accurate, reliable, and timely reported results which are used in decision-making, diagnosis, and monitoring. Sigma metrics help to assess analytic methodologies and provide benchmarks for laboratories to design protocols for internal quality control (IQC), address poor assay performance, and assess the efficiency of existing laboratory processes. Thus, this study was undertaken to estimate the coefficient of variation (CV%), bias%, and total allowable error (TEa) of quality control (QC) samples using EM 200, to compare the TEa using Clinical Laboratories Improvement Act (CLIA) guidelines, and to analyze the sigma metrics of level 1 QC samples. Aims and Objectives: The aims and objectives of the study are to estimate the CV%, Bias%, TEa of QC samples using EM 200, to compare the TEa using CLIA guidelines, and to analyze the sigma metrics of level 1 QC samples. Materials and Methods: A cross-sectional study was carried out in the Central Biochemistry Lab, Karwar Institute of Medical Sciences, Karwar. IQC data level 1 of 15 analytes was analyzed using EM200 for 3 months. CV% is calculated from internal quality data, whereas bias% is obtained from an external quality assurance program. Sigma metrics were calculated using bias% and CV%. TEa was calculated and compared with CLIA guidelines. Results: We have < 3 sigma values (unstable, unacceptable) for urea, creatinine, BID, serum glutamic oxaloacetic transaminase, serum glutamate pyruvate transaminase (SGPT), protein, cholesterol, calcium, 3–6 (ideal) for glucose, uric acid, total bilirubin, alkaline phosphatase, albumin, high-density lipoprotein, and >6 (excellent) for triglycerides. TEa observed less than or close to CLIA suggests quality requirement met, and TEa observed more than CLIA (urea, creatinine, BID, SGPT, protein, and calcium) suggests methodologies need evaluation. Conclusion: Sigma metrics help to assess analytical methodologies and augment laboratory performance. Each and every laboratory can use sigma metrics as a guideline for QC strategy and a self-assessment tool for proper functioning.

Background: Tobacco use is one of the major causes of preventable deaths and diseases in India. Standard treatment used in tobacco use disorder can be broadly categorized as nicotine replacement therapy (NRT) and nonnicotine pharmacotherapy. Aims: The aim of this study was to compare the outcome of tobacco cessation in subjects using the smoked form of tobacco, using tablet bupropion or NRT, and to assess various factors influencing the outcome. Settings and Design: Twelve-week follow-up study was conducted in patients of tobacco use disorder attending the outpatient department of psychiatry in a tertiary care teaching institute for a duration of 12 months, after permission from the institutional ethical committee. Materials and Methods: Hundred subjects were taken as per the inclusion criteria. After obtaining the general sociodemographic data, the severity of tobacco dependence was assessed by Fagerstrom Scale at baseline, 2 weeks, 4 weeks, 8 weeks, and 12 weeks after assigning intervention (tablet bupropion or NRT) of their choice. Statistical Analysis Used: SPSS software is used for statistical analysis. Pearson correlation, analysis of variance, and multiple regression analysis were done and P < 0.05 was considered to be significant. Results and Conclusion: NRT works better in all groups of patients having mild, moderate, or severe tobacco dependence, whereas bupropion works better in groups of patients having moderate-to-severe tobacco dependence.

Because hair loss is a common concern for many individuals, potential regenerative therapies of hair follicles have been extensively researched. Induced pluripotent stem cells (iPSCs) are a promising avenue for hair follicle regeneration. This review explores current iPSC-based approaches and highlights their potential applications and challenges in hair restoration. The principles of iPSC technology, iPSC differentiation into hair follicle precursor cells, and potential clinical implications for hair follicle regeneration are also discussed. This overview of iPSCs and their applications aims to contribute to our understanding of their role in hair restoration and potential future therapeutic applications.

Abstract The inequitable distribution of economic resources and exposure to adversity between racial groups contributes to mental health disparities within the United States. Consideration of the potential neurodevelopmental consequences, however, has been limited particularly for neurocircuitry known to regulate the emotional response to threat. Characterizing the consequences of inequity on threat neurocircuitry is critical for robust and generalizable neurobiological models of psychiatric illness. Here we use data from the Adolescent Brain and Cognitive Development Study 4.0 release to investigate the contributions of individual and neighborhood-level economic resources and exposure to discrimination. We investigate the potential appearance of race-related differences using both standard methods and through population-level normative modeling. We show that, in a sample of white and Black adolescents, racial inequities in socioeconomic factors largely contribute to the appearance of race-related differences in cortical thickness of threat neurocircuitry. The race-related differences are preserved through the use of population-level models and such models also preserve associations between cortical thickness and specific socioeconomic factors. The present findings highlight that such socioeconomic inequities largely underlie race-related differences in brain morphology. The present findings provide important new insight for the generation of generalizable neurobiological models of psychiatric illness.

Abstract Given high costs of Oncotype DX (ODX) testing, widely used in recurrence risk assessment for early-stage breast cancer, studies have predicted ODX using quantitative clinicopathologic variables. However, such models have incorporated only small cohorts. Using a cohort of patients from the National Cancer Database (NCDB, n = 53,346), we trained machine learning models to predict low-risk (0-25) or high-risk (26-100) ODX using quantitative estrogen receptor (ER)/progesterone receptor (PR)/Ki-67 status, quantitative ER/PR status alone, and no quantitative features. Models were externally validated on a diverse cohort of 970 patients (median follow-up 55 months) for accuracy in ODX prediction and recurrence. Comparing the area under the receiver operating characteristic curve (AUROC) in a held-out set from NCDB, models incorporating quantitative ER/PR (AUROC 0.78, 95% CI 0.77–0.80) and ER/PR/Ki-67 (AUROC 0.81, 95% CI 0.80–0.83) outperformed the non-quantitative model (AUROC 0.70, 95% CI 0.68–0.72). These results were preserved in the validation cohort, where the ER/PR/Ki-67 model (AUROC 0.87, 95% CI 0.81–0.93, p = 0.009) and the ER/PR model (AUROC 0.86, 95% CI 0.80–0.92, p = 0.031) significantly outperformed the non-quantitative model (AUROC 0.80, 95% CI 0.73–0.87). Using a high-sensitivity rule-out threshold, the non-quantitative, quantitative ER/PR and ER/PR/Ki-67 models identified 35%, 30% and 43% of patients as low-risk in the validation cohort. Of these low-risk patients, fewer than 3% had a recurrence at 5 years. These models may help identify patients who can forgo genomic testing and initiate endocrine therapy alone. An online calculator is provided for further study.

Introduction Air pollution presents a major public health threat to India, affecting more than three quarters of the country’s population. In the current project, GEOHealth Health Effects of Selected Environmental Exposomes Across the Life CourSe–India, we aim to study the effect of environmental exposomes—fine particulate matter (PM2.5), nitrogen dioxide (NO2), ozone (O3) and extremes of temperature—on multiple health outcomes using a modified life course approach. The associated training grant aims to build capacity in India to address the unique environmental health problems.Methods and analysis The project aims to (A) Develop exposure assessments in seven cities, namely Delhi, Chennai, Sonipat, Vizag, Pune, Hyderabad and Bikaner, for: (1) A fine-scale spatiotemporal model for multiple pollutants (PM2.5, NO2, O3, temperature); (2) Combined ground monitoring and modelling for major chemical species of ambient PM2.5 at seven cities; and (3) Personal exposure assessment in a subsample from the six cities, except Pune, and (B) Conduct health association studies covering a range of chronic non-communicable diseases and their risk factors leveraging a unique approach using interdigitating cohorts. We have assembled existing pregnancy, child, adolescent, adult and older adult cohorts across India to explore health effects of exposomes using causal analyses. We propose to use Bayesian kernel machine regression to assess the effects of mixtures of all pollutants including species of PM2.5 on health while accounting for potential non-linearities and interactions between exposures. This builds on earlier work that constructed a fine spatiotemporal model for PM2.5 exposure to study health outcomes in two Indian cities.Ethics and dissemination Ethical clearance for conduct of the study was obtained from the Institutional Ethics Committee (IEC) of the Centre for Chronic Disease Control, and all the participating institutes and organisations. National-level permission was provided by the Indian Council of Medical Research. The research findings will be disseminated through peer-reviewed publications, policy briefs, print and social media, and communicating with the participating communities and stakeholders. Training of Indian scientists will build the capacity to undertake research on selected adverse environmental exposures on population health in India.

Herbal products and their formulations have a large market at the global level. A significant portion of the worldwide population relies upon herbal treatment. Their apparent non-toxic and cost-effective nature appeals to the population and drives researchers to pursue them for drug development. However, due to the lack of scientific evidence, their conventional preparation, poor regulation and control make these an unseen threat to the people. There has been a long-standing argument that allopathic medicines are better than herbal medicines due to their specificity and precision. To compete with modern medicines, a concept of science-based phytopharmaceutical drugs was introduced through a draft amendment notified to the Drugs and Cosmetics 1940 and Rules 1945. The amendment has introduced a definition for botanicals and their scientific evaluation for quality safety and efficacy by the Central Drugs Standard and Control Organization (CDSCO) office as a marketing authorization requirement. The present article discusses the advantages and challenges faced in the development of phytopharmaceuticals, and how they differ from dietary supplements and herbal drugs. It also gives consolidated information on Phytopharmaceuticals and their regulatory and Pharmacopoeial status with an exemplary PPI monograph – Aegle marmelos. The plant selection was done based on extensive research using the PRISMA approach. A detailed view of the opportunities and challenges provided by phytopharmaceuticals is explained in the present review.

The concept of neurodiversity embraces the idea that there are many different ways of perceiving, thinking about and responding to the world around us. Yet, many countries – including India, with its vast population – still struggle with this concept. Societal perceptions and stereotypes surrounding neurodiversity, often fuelled by ignorance and misinformation, contribute to the marginalisation and exclusion experienced by neurodivergent individuals. This article discusses the challenges and opportunities that neurodivergent students in Indian higher education face, highlighting the urgent need for systemic change to co-create a more inclusive and equitable learning environment.

Summary: Background: We measured the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and re-infections in an adult community-based cohort in southern India. Methods: We conducted a 2-year follow-up on 1229 participants enrolled between May and October 2021. Participants provided vaccination histories, weekly saliva samples, and blood samples at 0, 6, 12, and 24 months. Salivary reverse transcription polymerase chain reaction (RT-PCR) and Meso-Scale Discovery panels were used for SARS-CoV-2 detection and anti-spike, anti-nucleocapsid immunoglobulin G quantification. Whole genome sequencing was performed on a subset of positive samples. SARS-CoV-2 infection incidence was measured across Pre-Omicron (May–December 2021), Omicron-I (December 2021–June 2022), and Omicron-II (July 2022–October 2023) periods. Findings: In total, 1166 (95%) participants with 83% seropositivity at baseline completed the follow-up, providing 2205 person-years of observation. Utilizing both RT-PCR and serology we identified 1306 infections and yielded an incidence rate of 591.3 per 1000 person-years (95% confidence interval, 559.6–624.3), which peaked during Omicron-I at 1418.1 per 1000 person-years (95% confidence interval, 1307.4–1535.6). During Omicron-I and II, neither prior infection nor vaccination conferred protection against infection. Overall, 74% of infections were asymptomatic. Interpretation: Integrated RT-PCR and serology revealed significant SARS-CoV-2 infection frequency, highlighting the prevalence of asymptomatic cases among previously infected or vaccinated individuals. This underscores the effectiveness of combining surveillance strategies when monitoring pandemic trends and confirms the role of non-invasive sampling in ensuring participant compliance, reflecting national transmission patterns. Funding: The study was funded by the Bill and Melinda Gates Foundation.

Introduction: Fixed lingual bonded retainers offer the comfort of aesthetics and reduced tissue irritation after orthodontic treatment but are wrought with frequent bond failures. Numerous techniques have been used to adapt the retainer to the lingual surface of the lower anterior teeth, but research on customised lower lingual retainers is scarce. Aim: To evaluate and compare the Shear Bond Strength (SBS), Adhesive Remnant Index scores (ARI), and precision fit of a novel Computer-aided Designing-Computer-aided Machining/Manufacturing (CAD-CAM) fabricated retainer and conventional retainers. Materials and Methods: This invitro study was conducted at the Department of Orthodontics, and Dentofacial Orthopaedics, SRM Dental College, Ramapuram, Chennai-89 from June 2022 to February 2023. It included a total of 360 human mandibular anterior teeth were collected and embedded in acrylic blocks in groups of six to simulate the mandibular anterior arch form. A total of 60 retainers made of braided Stainless Steel (SS) wires, co-axial wires, customised through CAD/CAM technology were evaluated. The retainers were bonded to the lingual aspect of the teeth using composite resin. A universal testing machine was used for testing SBS. Precision fit was observed using Exocad software. Statistical analysis included one-way Analysis of Variance (ANOVA) for SBS, Kruskal-Wallis for ARI score, and Mann-Whitney U test for precision fit. Results: The CAD-CAM retainers had a more precise fit when compared to conventional retainers (p=0.009). SBS was highest for CAD-CAM fabricated retainer and lowest in the co-axial retainer, and this finding was statistically significant (p

Abstract Several bacteria of environmental and clinical origins, including some human-associated strains secrete a cross-kingdom signaling molecule indole-3-acetic acid (IAA). IAA is a tryptophan (trp) derivative mainly known for regulating plant growth and development as a hormone. However, the nutritional sources that boost IAA secretion in bacteria and the impact of secreted IAA on non-plant eukaryotic hosts remained less explored. Here, we demonstrate significant trp-dependent IAA production in Pseudomonas juntendi NEEL19 when provided with ethanol as a carbon source in liquid cultures. IAA was further characterized to modulate the odor discrimination, motility and survivability in Drosophila melanogaster. A detailed analysis of IAA-fed fly brain proteome using high-resolution mass spectrometry showed significant (fold change, ± 2; p ≤ 0.05) alteration in the proteins governing neuromuscular features, audio-visual perception and energy metabolism as compared to IAA-unfed controls. Sex-wise variations in differentially regulated proteins were witnessed despite having similar visible changes in chemo perception and psychomotor responses in IAA-fed flies. This study not only revealed ethanol-specific enhancement in trp-dependent IAA production in P. juntendi, but also showed marked behavioral alterations in flies for which variations in an array of proteins governing odor discrimination, psychomotor responses, and energy metabolism are held responsible. Our study provided novel insights into disruptive attributes of bacterial IAA that can potentially influence the eukaryotic gut-brain axis having broad environmental and clinical implications.

Abstract Background The moderate deep inspiratory breath hold (mDIBH) is a modality famed for cardiac sparing. Prospective studies based on this are few from the eastern part of the world and India. We intend to compare the dosimetry between mDIBH and free-breathing (FB) plans. Methods Thirty-two locally advanced left breast cancer patients were taken up for the study. All patients received a dose of 50 Gy in 25 fractions to the chest wall/intact breast, followed by a 10-Gy boost to the lumpectomy cavity in the case of breast conservation surgery. All the patients were treated in mDIBH using active breath coordinator (ABC). The data from the two dose volume histograms were compared regarding plan quality and the doses received by the organs at risk. Paired t-test was used for data analysis. Results The dose received by the heart in terms of V5, V10, and V30 (4.55% vs 8.39%) and mean dose (4.73 Gy vs 6.74 Gy) were statistically significant in the ABC group than that in the FB group (all p-values < 0.001). Also, the dose received by the LADA in terms of V30 (19.32% vs 24.87%) and mean dose (32.99 Gy vs 46.65 Gy) were significantly less in the ABC group. The mean treatment time for the ABC group was 20 min, while that for the free-breathing group was 10 min. Conclusions Incorporating ABC-mDIBH for left-sided breast cancer radiotherapy significantly reduces the doses received by the heart, LADA, and left and right lung, with no compromise in plan quality but with an increase in treatment time.

Abstract Bi-allelic pathogenic variants in PRKN are the most common cause of autosomal recessive Parkinson’s disease (PD). 647 patients with PRKN-PD were included in this international study. The pathogenic variants present were characterised and investigated for their effect on phenotype. Clinical features and progression of PRKN-PD was also assessed. Among 133 variants in index cases (n = 582), there were 58 (43.6%) structural variants, 34 (25.6%) missense, 20 (15%) frameshift, 10 splice site (7.5%%), 9 (6.8%) nonsense and 2 (1.5%) indels. The most frequent variant overall was an exon 3 deletion (n = 145, 12.3%), followed by the p.R275W substitution (n = 117, 10%). Exon3, RING0 protein domain and the ubiquitin-like protein domain were mutational hotspots with 31%, 35.4% and 31.7% of index cases presenting mutations in these regions respectively. The presence of a frameshift or structural variant was associated with a 3.4 ± 1.6 years or a 4.7 ± 1.6 years earlier age at onset of PRKN-PD respectively (p

Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can impact the data being processed. Thus, safeguarding sensitive data from being exposed to illegitimate users is crucial to avoiding uncertainties and maintaining the overall quality of the service offered. Most existing edge security models have considered attacks during data analysis as an afterthought. In this paper, an overview of edge data analytics in healthcare, traffic management, and smart city use cases is provided, including the possible attacks and their impacts on edge data analytics. Further, existing models are investigated to understand how these attacks are handled and research gaps are identified. Finally, research directions to enhance data analytics at the edge are presented.

Background: Colon cancer is rising among younger population than elder people. About 50% of colon cancer cases attributed to dietary factors. Monosodium glutamate (MSG) widely used taste enhancer prevalent in fast foods and processed items. Objectives: The study investigated into the potential toxic and carcinogenic role of MSG in male Wistar rats of 1–3 months old and compared the effects with the Dimethyl hydrazine (DMH): by observing survival probability, estimation of serum biochemical parameters, and analysis for colon beta catenin protein expression. Methods: Rats were grouped into control, DMH (s.c), low- and high dose MSG (LDMSG, HDMSG) (p.o). Survival rate statistically calculated using Kaplan-Meier plots and Log-rank tests. Biochemical analyses were done using standard protocols and one-way ANOVA were performed for data analysis. Beta catenin protein expressions were studied using immunohistochemistry and western blotting. Results: Our study emphasizes that high dose MSG consumed male Wistar rats cause high decline in survival rate compared to low dose MSG and DMH. Estimated serum biochemical parameters showed significantly increased oxidative stress, altered liver and kidney function markers, alongside elevated serum sodium, total cholesterol, triglycerides, LDL, and inflammatory markers. Observed, colon polyps formed in DMH and MSG rats. Rat’s colon immunohistochemistry study expressed β- catenin whereas Western blotting results confirmed the altered β- catenin and β-catenin phosphorylation ratios in cytosol and nuclear region were elevated in DMH-induced colon cancer (p value of 0.0002), MSG low dose (p value of 0.003) and high dose (p value of 0.01) statistically significant. These findings highlights declined survival probabilities and pronounced oxidative stress markers, organ function changes, disrupted lipid profiles, and increased nuclear β-catenin expression reveals the potential toxic and carcinogenic role of MSG is influencing colon cancer development in male Wistar rat models. Conclusion: Based on the results, the study underscores the potential toxic and carcinogenic role of MSG, particularly at neoplastic stages of colon cancer in male Wistar rat models.

The Smart Home Energy Management System (SHEMS) presents an innovative solution for optimizing energy consumption in residential settings by harnessing the synergy between Internet of Things (IoT) technology and Machine Learning (ML) algorithms. SHEMS offers a comprehensive suite of functionalities including monitoring, controlling, and optimizing energy usage while identifying wastage within smart homes. Its architecture comprises IoT sensors for data acquisition, an IoT gateway for preprocessing and storing data, and an Energy Management System (EMS) empowered by ML infrastructure for feature extraction and data transformation. Notably, the incorporation of the Gradient Boosting (GB) mechanism imbues SHEMS with intelligence, enabling it to analyze intricate datasets, detect patterns, and make data-driven decisions regarding energy optimization. Through ML capabilities, SHEMS adapts to dynamic usage patterns, predicts future consumption trends, and identifies opportunities for energy savings. Facilitating seamless data flow from sensors to the EMS, advanced ML techniques drive intelligent decision-making for enhanced energy efficiency. Additionally, SHEMS provides users with actionable insights and user-friendly interfaces for informed energy management, promising significant improvements in energy efficiency, cost reduction, and sustainability. The results showcase the effectiveness of the Gradient Boosting (GB) algorithm in predicting energy consumption for smart homes, with a score of 0.95, RMSE of 6.8, and MAE of 5.2. The Gradient Boosting algorithm consistently outperforms other ML algorithms, including Simple Linear Regression, Decision Tree Regression, Random Forest Regression, K-nearest neighbor Regression, and Support Vector Machine Regression.

Proteins are usually composed of carbon, nitrogen, hydrogen, oxygen, and sulfur, resulting in too many amino acid molecules with interlinked peptide bonds. A careful analysis of other protein-rich choices is required because of the depletion of conventional protein resources and the need to meet the dietary demands of the increasing global population. The prime motive for creating concentrates and isolates from a protein source is to increase the concentration of proteins by removing non-protein constituents, allowing the use of a lower amount of protein for food formulation to provide specific nutritional and functional properties. Protein concentrates are a possible alternative that come from a range of sources, including dairy products, plants, and insects. Their extraction strategies, which range from conventional solvent extraction to cutting-edge approaches, such as membrane separation and enzyme-assisted procedures, provide opportunities to maximize yield, maintain nutritional value, and reduce environmental impact. These concentrates are used in the food sector to improve dietary profiles, formulate functional foods, and meet growing demand for plant-based and alternative protein sources. This review advances our understanding of this crucial element in the search for nutrient-dense and sustainable protein sources by clarifying their origins, extraction techniques, and uses.

Among the various types of recently released composite materials, particle-reinforced metal matrix composites (MMCs), in particular aluminum as the matrix material, have been shown to provide substantial industrial benefits in the automotive and aerospace sectors. The current research focused on the corrosion behavior of an Al7075 hybrid composite in 0.1 M hydrochloric acid (HCl) and 3.5% NaCl media at different temperatures. Electrochemical techniques, such as Tafel polarization (TP) and electrochemical impedance spectroscopy (EIS), were employed to study the corrosion behavior in the respective solutions. The results showed that the corrosion rate of the studied specimen increased from 31.77 to 47.61 mmy−1 in 0.1 M HCl and from 0.26 to 1.28 mmy−1 in 3.5% NaCl with increasing temperature. The corrosion current density of the Al7075 hybrid composite in 0.1 M HCl is on the order of 10−3 Acm2, and that in 3.5% NaCl is on the order of 10−5 Acm2. This confirms the increased rate of composite corrosion in the 0.1 M HCl medium compared to that in the 3.5% NaCl medium. A suitable mechanism was proposed for the corrosion of the Al7075 hybrid composite in both media.

Background: Polysubstance dependence has emerged as a clinically distinct entity from monosubstance dependence, yet its impact on patients’ wives is understudied. Wives of substance-dependent men face a tremendous burden in their social lives, leading to faulty coping and burden of care. Comparative studies between monosubstances and polysubstances are lacking. Aims: This study compared the burden of care and coping styles between wives of monosubstance- and polysubstance-dependent men. Materials and Methods: A comparative analysis was performed between wives of 70 monosubstance-dependent and 70 polysubstance-dependent patients. The burden of care was assessed by the Burden Assessment Schedule (BAS), whereas coping styles were assessed using the Brief Coping Orientation to Problems Experienced (Brief COPE) Inventory. Results: Both groups faced a moderate burden of care, which was significantly higher in wives of polysubstance abusers as compared to monosubstance abusers (U = 366.50, P < 0.01). The difference was mainly seen in their impact on well-being and relationships with others. Avoidant coping was significantly higher in wives of polysubstance abusers (U = 341.00, P < 0.01), whereas emotion-focused and problem-solving coping styles were equally represented. Avoidant and problem-solving coping styles positively correlated with the burden of care (P < 0.01). Conclusion: The burden of care and avoidant coping strategies are higher in wives of polysubstance-dependent men. An increased burden of care is associated with increased use of both avoidant coping and problem-solving coping.

The export of agrochemicals and their transformation products (TPs) following their application in the agricultural fields poses a threat to water quality. Future changes in climatic conditions (e.g. extreme weather events such as heavy rainfall or extended dry periods) could alter the degradation and mobility of agrochemicals. In this research, we use an integrated modelling framework to understand the impact of extreme climate events on the fate and transport of the agrochemical S-Metolachlor and two of its TPs (M-OXA, Metolachlor Oxanilic Acid and M-ESA, Metolachlor Ethyl Sulfonic Acid). This is done by coupling climate model outputs to the Zin-AgriTra agrochemical reactive transport model in four simulation scenarios. 1) Reference (2015–2018), 2) Very dry (2038–2041), 3) Very wet (2054–2057) and 4) High temperature (2096–2099) conditions of a selected RCP8.5 based regional climate scenario. The modelling framework is tested on an agricultural catchment, Wulka, in Burgenland, Austria. The model results indicate that 13–14 % of applied S-Metolachlor is retained in the soil, and around 85 % is degraded into TPs in the different scenarios. In very dry and high-temperature scenarios, degradation is higher, and hence, there is less S-Metolachlor in the soil. However, a large share of formed M-OXA and M-ESA are retained in the soil, which is transported via overland and groundwater flow, leading to a build-up effect in M-OXA and M-ESA river concentrations over the years. Though a small share of S-Metolachlor and TPs are transported to rivers, their river export is affected by the intensity and amount of rainfall. The very wet and high-temperature scenarios show higher S-Metolachlor and TP concentrations at the catchment outlet due to higher river discharge. The reference scenario shows higher river peak concentrations associated with higher overland flow caused by measured hourly rainfall compared to disaggregated daily precipitation data in the other scenarios.

Background Malnourished pregnant women are at increased risk of micronutrient deficiency. We assessed the vitamin B12 status in both malnourished and normally nourished pregnant women and their neonates. Additionally, we studied the association between maternal B12 levels, cord B12 levels and neonatal anthropometry. Methods This cross-sectional study enrolled 63 malnourished and 63 normally nourished mothers and neonates. Maternal and cord blood samples were collected at the time of delivery for estimation of vitamin B12 levels. Maternal and cord vitamin B12 levels were compared using the Mann–Whitney U test. Neonatal anthropometry was correlated with maternal and cord B12 levels using Spearman’s correlation. Data were analyzed using SPSS version 25. Results Mean maternal age was 26.58 yrs. The median cord B12 levels were lower than the maternal B12 levels. Maternal B12 levels showed a strong positive correlation with cord B12 levels (rho = 0.879; p < 0.001). Maternal (p < 0.001) and cord (p < 0.001) vitamin B12 levels were significantly lower in the malnourished group than in the normally nourished group. In malnourished group, 66.8% mothers and 95.2% neonates were Vitamin B12 deficient, whereas 1.5% mothers and 4.7% neonates were vitamin B12 deficient in normally nourished group. In the malnourished group, maternal B12 levels were positively correlated with birth weight (rho 0.363, p = 0.003) and length (rho 0.330, p =0.008), whereas cord B12 levels were positively correlated with birth weight in the normally nourished group. (rho 0.277 p= 0.028) Conclusion High rates of vitamin B12 deficiency were observed in malnourished mothers and neonates. There was a positive correlation between birth weight, length, and maternal vitamin B12 levels in malnourished mothers. These findings emphasize the need to address maternal malnutrition and vitamin B12 deficiency to improve neonatal health.

Introduction: Central venous stenosis (CVS) is a significant and frequently encountered problem in managing hemodialysis (HD) patients. Venous hypertension, often accompanied by severe symptoms, undermines the integrity of the HD access circuit. In CVS, dialysis through an arteriovenous (AV) fistula is usually inefficient, with high recirculation rates and prolonged bleeding after dialysis. Interventions for central vein stenosis in patients with AV access are typically performed with a direct puncture of the fistula outflow vein or taking access from the femoral vein, jugular vein, axillary vein, and basilic vein. Commonly encountered complications with taking access from the fistula vein-puncture site bleeding, hematoma, pseudoaneurysm, thrombosis of arteriovenous fistula; complications noted with femoral vein access are groin hematoma, lower limb deep-vein thrombosis, need for patient immobilization, and groin compression. An alternative approach is to use the outflow vein tributary, such as the cephalic vein tributary, as an access to avoid these potential complications. Aim and Objective: The objective of this study was to evaluate the feasibility and clinical outcomes of central vein and cephalic vein arch angioplasty, utilizing an outflow vein tributary as access, for managing symptomatic CVS in dialysis patients with upper limb vascular access and significant ipsilateral limb edema. Methodology: In a Prospective interventional study conducted at 2 Tertiary care Institutes between 2022 and 2023, a total of 34 patients underwent central vein and cephalic arch angioplasty utilizing an outflow vein tributary as access. Follow-up duration varied among patients. Results: During a 1-year period, a total of 34 patients (20 male and 14 female) underwent interventions for central vein stenosis using a tributary of the outflow vein as an access. These interventions encompassed lesions in the SVC, innominate vein, subclavian vein, cephalic arch, and multisegmental disease. The technical success rate for endovascular treatment stood at 88%. However, in four patients, we encountered difficulties in crossing the lesion despite employing additional access from the great saphenous vein (GSV). Notably, in 23 cases, the entire procedure was successfully completed using access from the tributary vein, whereas in seven patients, supplementary access was obtained from the right GSV. Importantly, none of the patients experienced access site complications. Conclusion: The use of tributary veins as access allows for the use of wide bore sheaths without encountering complications when addressing central vein pathology. Our findings indicate that employing outflow vein tributaries as access for endovascular treatment is both safe and effective in managing central venous disease.

BackgroundVascular dementia (VaD) is a complex neurodegenerative disorder. We previously found that treatment of VaD in middle-aged male rats subjected to multiple microinfarction (MMI) with AV-001, a Tie2 receptor agonist, significantly improves cognitive function. Age and sex affect the development and response of VaD to therapeutic intervention. Thus, the present study investigated the therapeutic effect of AV-001 on VaD in aged female rats subjected to MMI.MethodsFemale 18-month-old Wistar rats were subjected to MMI by injecting either 1,000 (low dose, LD-MMI) or 6,000 (high dose, HD-MMI) cholesterol crystals of size 70–100 μm into the right internal carotid artery. AV-001 (1 μg/Kg, i.p.) was administered once daily after MMI for 1 month, with treatment initiated 1 day after MMI. A battery of behavioral tests to examine sensorimotor and cognitive functions was performed at 21–28 days after MMI. All rats were sacrificed at 1 month after MMI.ResultsAged female rats subjected to LD-MMI exhibit severe neurological deficits, memory impairment, and significant white matter (WM) and oligodendrogenesis injury in the corpus callosum compared with control rats. HD-MMI in aged female rats induces significant anxiety- and depression-like behaviors, which were not detected in LD-MMI aged female rats. Also, HD-MMI induces significantly increased WM injury compared to LD-MMI. AV-001 treatment of LD-MMI and HD-MMI increases oligodendrogenesis, myelin and axon density in the corpus callosum and striatal WM bundles, promotes WM integrity and attenuates neurological and cognitive deficits. Additionally, both LD-MMI and HD-MMI rats exhibit a significant increase, while AV-001 significantly decreases the levels of inflammatory factors in the cerebrospinal fluid (CSF).ConclusionMMI reduces oligodendrogenesis, and induces demyelination, axonal injury and WM injury, and causes memory impairment, while HD-MMI induces increased WM injury and further depression-like behaviors compared to LD-MMI rats. AV-001 has a therapeutic effect on aged female rats with MMI by reducing WM damage and improving neuro-cognitive outcomes.

Aims Psychiatrists frequently diagnose mood disorders in children. However, there is a limited understanding of clinical history and phenomenology of mood disorders in these phases of lifespan, and phenomenological variations in those with and without neurodevelopmental disorders (NDD). The primary objective of the study was to study, comparatively, the phenomenology in children clinically diagnosed with mania, depression and mixed affective disorder. The second objective was to study the phenomenological differences in diagnosed cases of mood disorder children with and without neurodevelopmental disorders. Methods We conducted a semi-qualitative study of the clinical history and phenomenology in 120 children recruited from a tertiary care child and adolescent psychiatry service. Children with current diagnosis of depression, mania or mixed affective state, age less than 18 years, and appropriate consent/assent were included. Children with comorbid neurological disorders, any underlying organicity, or those currently in remission from their mood episode were excluded. Descriptive summaries were calculated for socio-demographic, clinical and phenomenological data. Chi Square test was used to examine statistical differences in prevalence of various phenomena across the clinical diagnostic groups. Results The most common clinical diagnosis was depression (58.3%) followed by mania (25.8%) and mixed affective state (15%). Irritable mood and emotional dysregulation were equally distributed among the three diagnostic groups. With a high prevalence of comorbid NDDs in the sample, we compared phenomena between groups with and without NDDs. In cases of depression, suicidal ideas and guilt feelings were expressed in 61% and 80% of these participants without comorbid NDD (n = 45) respectively, which was significantly high as compared with those with NDD (n = 67). The symptoms of disinhibition (78.9%), impulsivity (84.2%) and emotional dysregulation (10.5%) were more frequently seen in participants with neurodevelopmental disorder. Dissociative and obsessive phenomena were present in about a quarter of our study sample, similarly across mania, depression and mixed state. Conclusion Mental status examination of mood disorders in children suggests considerable phenomenological overlap with irritable mood, emotional and behavioural dysregulation, dissociative symptoms, obsessive symptoms, sleep disturbances, nightmares and hyperarousal seen in mania, depression and mixed states. These phenomena may, therefore, not be suitable in differentiating these clinical diagnoses. Children with NDDs may report lesser cognitive phenomena of depression, and the clinician may have to rely on the affective and behavioural manifestations of depression in clinical decision-making.

We termed the Pál type interpolation problem as PTIP. Here we studied the regularity of (0,1)-PTIP and (0,2)-PTIP, where we omitted a real or complex node from a set of zeros of polynomials with complex coefficients.

Summary: Most cells in solid tumors are exposed to oxygen levels between 0.5% and 5%. We developed an approach that allows collection, processing, and evaluation of cancer and non-cancer cells under physioxia, while preventing exposure to ambient air. This aided comparison of baseline and drug-induced changes in signaling pathways under physioxia and ambient oxygen. Using tumor cells from transgenic models of breast cancer and cells from breast tissues of clinically breast cancer-free women, we demonstrate oxygen-dependent differences in cell preference for epidermal growth factor receptor (EGFR) or platelet-derived growth factor receptor beta (PDGFRβ) signaling. Physioxia caused PDGFRβ-mediated activation of AKT and extracellular regulated kinase (ERK) that reduced sensitivity to EGFR and phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) inhibition and maintained PDGFRβ+ epithelial-mesenchymal hybrid cells with potential cancer stem cell (CSC) properties. Cells in ambient air displayed differential EGFR activation and were more sensitive to targeted therapies. Our data emphasize the importance of oxygen considerations in preclinical cancer research to identify effective drug targets and develop combination therapy regimens.

The article presents a secure edge computing model that utilizes machine learning for intrusion detection and isolation. It addresses the security challenges arising from the rapid expansion of IoT and edge computing. The proposed Intrusion Detection System (IDS) combines Linear Discriminant Analysis (LDA) and Logistic Regression (LR) to swiftly and accurately identify intrusions without alerting neighboring devices. The model outperforms existing solutions with an accuracy of 96.56%, precision of 95.78%, and quick training time (0.04 s). It is effective against various types of attacks, enhancing the security of edge networks for IoT applications. • The methodology employs a hybrid model that combines LDA and LR for intrusion detection. • Machine learning techniques are used to analyze and identify intrusive activities during data acquisition by edge nodes. • The methodology includes a mechanism to isolate suspected devices and data without notifying neighboring edge nodes to prevent intruders from gaining control over the edge network.

Lipoma is a benign, growing tumour of mesenchymal origin composed of mature fat cells and adipocytes. They can occur in the subcutaneous layer or at intramuscular or intermuscular sites. Oral lipoma, a benign tumour of mesenchymal origin composed of mature adipocytes and usually surrounded by a thin fibrous connective tissue capsule, is rare and mostly found on the buccal mucosa and tongue. Hereby, the authors present a case of Chondroid Lipoma (CL), a very rare subtype of lipoma involving the ventral surface of the tongue in a 50-year-old female patient. The Chondroid Lipoma, a variant of lipoma, is extremely rare in the oral and maxillofacial region containing both embryonal fat and cartilage.

Abstract Trauma-related intrusive memories (TR-IMs) are hallmark symptoms of posttraumatic stress disorder (PTSD), but their neural correlates remain partly unknown. Given its role in autobiographical memory, the hippocampus may play a critical role in TR-IM neurophysiology. The anterior and posterior hippocampi are known to have partially distinct functions, including during retrieval of autobiographical memories. This study aimed to investigate the relationship between TR-IM frequency and the anterior and posterior hippocampi morphology in PTSD. Ninety-three trauma-exposed adults completed daily ecological momentary assessments for fourteen days to capture their TR-IM frequency. Participants then underwent anatomical magnetic resonance imaging to obtain measures of anterior and posterior hippocampal volumes. Partial least squares analysis was applied to identify a structural covariance network that differentiated the anterior and posterior hippocampi. Poisson regression models examined the relationship of TR-IM frequency with anterior and posterior hippocampal volumes and the resulting structural covariance network. Results revealed no significant relationship of TR-IM frequency with hippocampal volumes. However, TR-IM frequency was significantly negatively correlated with the expression of a structural covariance pattern specifically associated with the anterior hippocampus volume. This association remained significant after accounting for the severity of PTSD symptoms other than intrusion symptoms. The network included the bilateral inferior temporal gyri, superior frontal gyri, precuneus, and fusiform gyri. These novel findings indicate that higher TR-IM frequency in individuals with PTSD is associated with lower structural covariance between the anterior hippocampus and other brain regions involved in autobiographical memory, shedding light on the neural correlates underlying this core symptom of PTSD.

Abstract Microplastics have been noticed as widespread in an aquatic environment at the microscale. They have nonstop increased due to the increase in the production of synthetic plastics, population and poor waste management. They are ubiquitous in nature and slowly degrade in water and soil. They are emerging pollutants that have received interest from public audiences and research communities. They have great stability and can adsorb various other pollutants like pesticides, heavy metals, etc. After entering the freshwater environment, microplastics can be stored in the tissue of organisms and stay for a long time. They can generate a serious threat to freshwater ecosystems and can cause physical damage to organisms. Visual identification, Raman spectroscopy, pyrolysis–gas chromatography–mass spectrometry (Pyro–GC–MS), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and combined methods are the commonly known methods for the quantification and identification of microplastics. The detected concentration of microplastics depends on the sampling method, locations and identification techniques. The authors assessed the sources, transport, impacts, identification and characterization, and treatment of microplastics in freshwater environments in detail. The authors are also giving some recommendations for the minimization of the MPs from the freshwater environment. This review article will provide the baseline facts for the investigators to do more research on microplastic pollution in the future. Graphical Abstract

A 45-year-old male patient with clinically suspected schizophrenia was referred for an MRI brain to look for organicity. An incidental lesion was noted on the right side of the tubercinerium with suspicious findings of osteolipoma. T1 and T2 weighted sequences showed a hyper-intense lesion suggestive of fatty intensity or hemorrhage. A homogenous blooming artefact was seen on gradient imaging suggestive of a calcific/hemorrhagic element. The referring clinician was conveyed the findings asking about the need for further imaging by CT. The patient was started on antipsychotics for schizophrenia. One week later, a CT head was obtained, which showed a fatty density lesion with a smooth, peripheral rim of hyperdensity. The HU value matched rim calcification suggesting radiological diagnosis of osteolipoma. The patient was kept under close observation and no specific therapy was guided to this lesion. The patient was responding well to pharmacotherapy (in terms of control of symptoms) confirming osteolipoma as an incidental finding. This case report establishes the role of adequate imaging in subtle brain lesions which may mimic primary lesion-producing neurological symptoms. The importance of clinical judgment and follow-up in guiding suitable therapy is also highlighted.

Background and Aims: Single-shot erector spinae plane block (ESPB) provides excellent analgesia in mastectomy in the immediate post-operative period but is not sufficient to maintain for prolonged duration. This study compares the efficacy of programmed intermittent bolus (PIB) versus continuous infusion (CI) techniques after ESPB by placing a catheter for mastectomy. Methods: After ethical approval and patient consent, ESPB was performed at the T4 level in 50 patients with an initial bolus of 20 mL 0.375% ropivacaine and a catheter placed 30 min before surgery. In the postoperative period, they were randomised to Group I - intermittent bolus of 20 mL 0.2% ropivacaine every 4 h for 24 h and Group C - continuous infusion of 0.2% ropivacaine at 5 mL/h for 24 h. The primary outcome was the 24-h fentanyl consumption by patient-controlled analgesia device. Data was analysed using Stata 14.0. Results: Group I patients had reduced post-operative fentanyl consumption {mean [standard deviation (SD)]: 166 (139.17) μg vs 332 (247.96) μg, P = 0.002} and lower median NRS scores (1 h: 3 vs 5), (2 h: 3 vs 5), (4 h: 3 vs 5), (6 h: 4 vs 5) with a higher mean (SD) Quality of Recovery-15 score {134.4 (8.53) vs 127 (12.89), P = 0.020} compared to Group C, respectively. The 24-h dermatomal sensory coverage was more comprehensive in Group I compared to Group C. Conclusion: The PIB technique after ESPB provides decreased postoperative opioid consumption, better post-operative analgesia and quality of recovery compared to the CI technique in patients undergoing mastectomy.

Background: Thyroid disorders are prevalent worldwide, with India being at high risk for iodine deficiency disorders. Fine-needle aspiration cytology (FNAC) is a first-line diagnostic tool for evaluating thyroid nodules, which has significantly reduced the number of thyroid surgeries performed. Objective: The objective of the study was to evaluate the role of FNAC in the diagnosis of thyroid swellings. Materials and Methods: Diagnostic evaluation study of patients with thyroid swelling whose FNAC is carried out over a period of 1 year. The patient's demographic and clinical details, as well as relevant investigations, were obtained. FNAC results were classified into four groups: benign, suspicious for malignancy, malignant, and unsatisfactory/insufficient for diagnosis. Based on FNAC results, 22 patients underwent thyroid surgery, and the specimens were examined histologically. The study assessed the sensitivity and specificity of FNAC by comparing cytological diagnosis with histopathological diagnosis. Results: Out of 228 patients with thyroid swelling, 190 (83.34%) were females and 38 (16.66%) were males. Average age of presentation was 39.89 years. Clinically, 108 (47.36%) cases presented with the diffuse involvement of the thyroid gland. FNAC results showed 201 (88.15%) were benign, 15 (6.57%) were malignant, and 12 (5.26%) were unsatisfactory. Colloid goiter was the most common thyroid lesion found on FNAC. Among 22 cases that underwent surgery, 17 were benign and 5 were malignant on histopathology examination. The sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were 100%, 94.44%, 80%, 100%, and 95.45%, respectively. Conclusion: FNAC is a simple, quick, and useful first-line tool for evaluating thyroid swelling and can help differentiate neoplastic from non-neoplastic lesions. It also helps surgeons in decision-making and patient management.

Abstract Background There are over 700 Scheduled Tribes (ST) living in 30 Indian states. As with other indigenous groups across the world, Indian ST have some of the poorest infant and child health outcomes of any communities in India. A child born to an ST family is 19% more likely to die in the first month of life and has a 45 percent risk of dying in their first year compared with other Indian populations. Research suggests that early conception, high fertility, and low use of family planning methods are large contributors to these disparities. Methods A cross sectional survey in Kannada was conducted among 303 pregnant tribal women in Mysore, India after obtaining informed consent. Univariate and multivariable analyses were carried out to determine the demographic and psychosocial factors associated with knowledge of contraceptive methods using Stata 14.0. Results There was widespread knowledge about female sterilization, while only 39.3% of women reported hearing about one or more forms of temporary contraception, and 36.3% knew where to get them. The largest proportion of women had heard about copper-T (33.0%), followed by oral contraceptive pills (23.8%), condoms (11.9%), and injectables (4.6%). Only 2.7% of women reported ever using any form of temporary contraception. Results from the multivariable logistic regression indicated that knowledge of at least one form of temporary contraception was linked to higher age (adjusted odds ratio[AOR]: 1.09; 95% CI: 1.02, 1.17), greater number of years of marriage (AOR: 0.90; 95% CI: 0.85, 0.96), and last birth in a government facility (AOR: 3.67; 95% CI: 1.99, 6.82). Conclusions The study revealed poor knowledge and utilization of temporary contraceptive methods among a tribal population in rural Mysore, India. Interventions aiming to increase knowledge of contraceptive options are important for birth spacing in this population and should target younger women and those without contact with government health facilities.