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Abstract Characterization of a productive oil/gas well blowout through seismological methods is relatively uncommon. In this paper, we conduct an in-depth seismic evaluation of one of the world’s most significant onshore oil well blowout incidents, which occurred in 2020 at the Baghjan oil field in Assam, northeast India. We show that the blowout and related on-site activities generated distinct signals that can be distinguished by their spectral characteristics, temporal variation in geometric spreading, and sharp attenuation of daytime noise in comparison to the nighttime. A micro-earthquake potentially triggered by the blowout was also detected. Furthermore, we show how seismic data can be used to reasonably estimate blowout gas exit velocity and flame height. Our results demonstrate that a detailed characterization and spatiotemporal variation of blowout activity can be successfully captured through seismic monitoring, opening new opportunities for hazard mitigation and cost-effective disaster management for such catastrophic events.

Abstract Indian hedgehog (Ihh) is a member of the developmentally regulated morphogens, the hedgehog gene family. The Hh protein family was initially discovered in Drosophila and has since been widely investigated in both Drosophila and higher animals. Ihh exhibited a dynamic spatiotemporal expression pattern in the mammalian uterus and ovaries. The downstream targets of the Ihh signaling pathway include PTCH-1, SMO, and COUP-TFII. Ihh is a progesterone-responsive gene that plays an important function in the female reproductive system; conditional ablation results in infertility due to failed embryo implantation. The literature addressing Ihh’s functions and ways of action is expanding, as is the number of processes that use it in cell signaling as well as physiology. Even while our grasp of the path has expanded tremendously, we still have many gaps in our knowledge. This review will address the discovery, evolution, mechanisms, and manifestations of Ihh especially in mammalian reproduction.

Objective: This study endeavored to assess the lipid profile and atherogenic lipid indexes in children with transfusion-dependent thalassemia (TDT) and to compare them with matched healthy children. Method: The study group consisted of a total of 72 TDT patients aged 3 to14 years, while the control group had 83 age- and sex-matched healthy children. The fasting lipid profile and lipid indexes were estimated and the atherogenic index of plasma (AIP), Castelli's risk indexes I and II, atherogenic coefficient were calculated and compared between the two groups. Result: Compared to the control group, the mean LDL, HDL and cholesterol levels were significantly lower among the case group (p-value < 0.001). The mean VLDL and triglycerides were significantly higher in the case group (p-value < 0.001). Lipid indexes, including the atherogenic index of plasma (AIP), Castelli's risk indexes I and II and atherogenic coefficients were significantly higher in TDT children. Conclusion: Dyslipidemia and increased risk of atherosclerosis were found in TDT children, as they had elevated atherogenic lipid indexes. Our study underlines the importance of the routine use of these indexes in TDT children. Future studies should focus on lipid indexes in this high-lipid group of children so that preventive strategies can be planned accordingly.

Introduction: Ultrasonography (USG) serves as a crucial diagnostic tool in emergency settings, extending beyond the assessment of the acute abdomen to encompass a wide range of acute conditions involving both superficial and deep soft tissue components of the body. Aim: To analyse the demographic profile and diagnostic findings associated with emergency USG requisitions at a tertiary care centre. Materials and Methods: A retrospective observational descriptive study was conducted in the Department of Radiodiagnosis at Tomo Riba Institute of Health and Medical Sciences (TRIHMS), Naharlagun, Arunachal Pradesh, India. Data from all emergency on-call ultrasound cases performed at TRIHMS from June 18, 2022, to June 17, 2023, were collected from the ultrasound room. A total of 258 cases of emergency ultrasounds were conducted. The age, sex and findings of emergency USG were analysed. Results were expressed in terms of frequency and percentages. Results: Among a total of 258 cases, 175 (67.8%) were females and 83 (32.2%) were males. The mean age of the participants was 29.02±11.03 years. The distribution pattern by age revealed that the most common age group was 21 to 30 years, encompassing a total of 106 patients (41.1%), with 84 females and 22 males. A total of 71 cases were registered for obstetrics and gynaecology conditions, constituting 27.5% of the total. Conclusion: Although USG is requested for many emergency conditions in the hospital, the acute abdomen remains the foremost indication for an emergency USG call.

Background: Male sexual dysfunction (MSD) is a common occurrence in diabetic patients, which is not routinely assessed in clinical settings. Aim: The aim of the study was to assess the prevalence of MSD and hypogonadism in young type 2 diabetes mellitus (T2DM) patients aged between 20 and 40 years and its association with duration, glycaemic control and complications of diabetes. Settings and Design: This is a cross-sectional study involving 70 men with T2DM of 20–40 years of age visiting the endocrinology department in a tertiary care centre. This study was conducted from November 2021 to March 2023. Materials and Methods: Seventy subjects satisfying inclusion criteria were included in the study and assessed using the International Index of Erectile Function-15 questionnaire, intravaginal ejaculation latency time, androgen deficiency in ageing male questionnaire, hormonal parameters (Luteinising Hormone, Follicle stimulating hormone, Testosterone and sex hormone-binding globulin) and penile Doppler. Statistical Analysis Used: The statistical analysis was done using SPSS version 21. A P < 0.05 is considered statistically significant. Data were checked for normality using Kolmogorov–Smirnov and Shapiro–Wilk tests. For determining statistical significance between continuous variables with non-normal data, the Mann–Whitney U test and Kruskal–Wallis tests were used. Pie charts, bar diagrams and scatter plots were used for descriptive statistics. Frequency, percentage, means, median, range and standard deviation were used for all quantitative data. The Chi-square test was used to find a significant association between categorical variables. Results: Sixty per cent of men had at least one form of MSD. Hypoactive sexual desire disorder (HSDD) - 44.28% was the most common MSD, followed by erectile dysfunction (ED) - 42.85% and ejaculatory disorders - 18.57%. Penile Doppler was done in 15 patients, of whom 9 patients had normal Doppler, venous incompetence was present in 3, followed by mixed (arterial and venous) in 2 and arterial insufficiency in 1 subject. Hypogonadism was present in 27.14% of men and secondary hypogonadism was the most common cause (84.21%). There was a significant association between neuropathy and ED and between hypogonadism and HSDD. There was also a significant association between fasting plasma glucose, post-prandial plasma glucose and MSD. Conclusion: MSD is common in young T2DM men, which should be given due importance in clinical practice to improve their quality of life. Glycaemic control is of utmost importance in these men.

This study investigates the epidemiology of subclinical mastitis, focusing on prevalence, risk factors, bacterial pathogens, virulence factors, antimicrobial sensitivity, and detection of methicillinresistant Staphylococcus aureus (MRSA) bacterial isolates in organized and unorganized dairy farms of Kamrup and adjoining districts of Assam. The overall prevalence of bovine subclinical mastitis was found to be 43.81% using the California Mastitis Test (CMT). Risk factor analysis revealed that age-wise, the highest prevalence was noted in the 4-6 years age group (51.95%) and at 4th lactation (60.40%). Significant associations were found between mastitis prevalence and various factors including age, breed, lactation number, stage of lactation, quarter-wise distribution, farm type, management system, and season. A total of 185 bacterial isolates were obtained, predominantly Staphylococcus spp. (143), with notable occurrences of Streptococcus spp. (22), Escherichia coli (14), and Enterococcus faecalis (6). Staphylococcus aureus emerged as the primary etiological agent, with 81.82% of isolates producing coagulase and 45.45% producing hemolysin, while 54.0% of Staphylococcus aureus isolates tested positive for the protein A (spa) gene. Antimicrobial sensitivity testing revealed enrofloxacin, gentamicin, and ceftriaxone as the most effective antibiotics, with penicillin-G demonstrating the least efficacy. Methicillin resistance was detected in 11.96% of Staphylococcus aureus isolates phenotypically and in 2.56% genotypically (mecA) revealing the emergence of MRSA which is important from a public health point of view. These findings highlight the prevalence of subclinical mastitis, the predominance of Staphylococcus aureus as the causative agent, and the emergence of antimicrobial resistance, which warrants effective control measures and antimicrobial management in dairy farming practices.

Abstract Introduction and background The musculoskeletal pain (MSK) develops at an early age and pains in adolescence dispose to subsequent pain episodes in adulthood. High physical fitness levels in childhood and adolescence are linked to favorable health outcomes. This study has evaluated the prevalence of musculoskeletal pain among school students. Additionally, it examines the existing physical fitness of those children and explores potential associations between musculoskeletal pain and physical fitness. Methods A cross sectional study was conducted in the Guwahati urban area, a capital city of North East India, in different schools. The mean and standard deviation of age was 9.49 ± 2.53. Prevalence of MSK pain was determined by the Faces Pain Scale–Revised and pediatric Gait Arm Leg Spine (pGALS) assessment, whereas physical fitness was assessed by Fitnessgram test battery. Statistical analysis Paired “t” test and logistic regression analysis were used. The level of significance was set at 0.05 for all tests performed, and 95% confidence intervals (CIs) were used in all cases. Results The percentage of musculoskeletal pain is 38.28% where female school students have 40.33% and the male students have 36.52%. The odd ratio of 0.934 (CI = 0.916–0.972) was found between pain occurrence and aerobic capacity. The odd ratio of 0.72 (CI = 0.704–0.761) was found between the chances of pain onset and abdominal strength and endurance. The odd ratio of 0.859 (CI = 0.831–0.899) was found between pain occurrence and trunk extensor muscle strength and endurance. Conclusion The prevalence of the musculoskeletal pain in school students is found to be 38.28%. The incidence of musculoskeletal pain and the physical fitness of a child has a significant relationship, with children who have poor physical fitness being more likely to develop musculoskeletal pain.

Abstract Background Carbon dots (CDs) derived from Citrus aurantifolia represent a promising platform for advanced cancer therapy and diagnostics (theranostics). These CDs are synthesized through a sustainable and cost-effective hydrothermal method, utilizing fruit juice as a green carbon source. Despite the potential, research on the synthesis of citrus-based CDs, especially regarding their red fluorescence emission, which is crucial for enhanced tissue penetration and biomedical efficacy, remains limited. Results In this study, CDs were successfully synthesized from C. aurantifolia fruit, yielding nanoparticles below 5 nm in size (PDI 0.231 ± 0.04). Characterization revealed favorable optical properties, including excitation-dependent fluorescent behavior with prominent red emission under higher excitation wavelengths, a quantum yield of 8.17%, and stable photoluminescence. Chemical composition analysis using XPS, FTIR, and XRD confirmed the purity and structure of the CDs. To explore their biomedical application, CDs were co-loaded with curcumin into liposomes. The formulations had a mean size of 177.2 ± 3.6 nm (PDI 0.270 ± 0.012), demonstrated efficient drug entrapment (60.32 ± 2.24%), and exhibited rapid release kinetics, with 90.21 ± 2.16% of the drug release within 8 h. In vitro studies using A549 lung cancer cells demonstrated superior cellular uptake and cytotoxicity of Cur-CD-loaded liposomes compared to curcumin alone (Cur-Suspension), achieving IC50 values of 0.093 ± 0.011 µg/ml and 0.016 ± 0.006 µg/ml, respectively. Conclusion This research underscores C. aurantifolia as a viable natural source for green CD synthesis. The obtained CDs with red fluorescence emission, optimized through reaction conditions and excitation wavelengths, hold promise for enhanced biological applications, particularly in the realm of lung cancer therapy. The findings advocate for further exploration and refinement of citrus-based CDs as versatile theranostic agents, capitalizing on their sustainable origins and potent biomedical properties. The combination of citrus-derived CDs with curcumin loaded into liposomal formulations represents a potent theranostic strategy for lung cancer treatment, leveraging the unique properties of CDs and their potential for targeted and effective therapy. Graphical abstract

Abstract Focal cortical dysplasia type II (FCD-II) is a prominent cortical development malformation associated with drug-resistant epileptic seizures that leads to lifelong cognitive impairment. Efficient MRI, followed by its analysis (e.g., cortical abnormality distinction, precise localization assistance, etc.) plays a crucial role in the diagnosis and supervision (e.g., presurgery planning and postoperative care) of FCD-II. Involving machine learning techniques particularly, deep-learning (DL) approaches, could enable more effective analysis techniques. We performed a comprehensive study by choosing six different well-known DL models, three image planes (axial, coronal, and sagittal) of two MRI modalities (T1w and FLAIR), demographic characteristics (age and sex) and clinical characteristics (brain hemisphere and lobes) to identify a suitable DL model for analysing FCD-II. The outcomes show that the DenseNet201 model is more suitable because of its superior classification accuracy, high-precision, F1-score, and large area under the receiver operating characteristic (ROC) curve and precision–recall (PR) curve.

Invasive lobular carcinoma (ILC) is the second most common special subtype of invasive breast carcinoma comprising 5–15%. ILC defines as invasive carcinoma comprising non-cohesive single-file linear pattern in fibrous stroma. The aim of the study was to evaluate the histomorphological features and immunohistochemical analysis of ILC. A total of 19 cases were encountered from March 2020 to February 2024 out of 129 breast cancers. The sociodemographic profiles and clinicopathological parameters of the patients were studied with special emphasis on their morphology and hormone receptor status. The mean age of patients is 42.8 years. Out of 19 cases, 84.2% showed feature of classic type, 5.2% of tubule-lobular, and 10.5% of pleomorphic lobular carcinoma. The majority of cases (63.2%) showed histologic Grade 2, and 10.5% showed Grade 3. On immunohistochemistry examination, 79% were estrogen receptor (ER) and progesterone receptor (PR) positive with 10.5% of cases was human epidermal growth factor receptor 2/neu (HER2/neu) positive. Our study showed higher cases of classic type ILC, mostly of histologic Grade 2; higher ER-PR receptor positivity and HER2/neu negativity.

The current investigation aims at to examine the effect of radiation absorption, heat generation and Dufour number on MHD Casson fluid flow past an exponentially accelerated vertical plate in a porous medium with chemical reaction. The governing equations for momentum, energy and concentration are solved by implementing the Laplace transformation method. Skin friction, rate of heat transfer and rate of mass transfer expressions are also extracted and depicted in tabular form. Investigation simulates that Casson parameter diminished the fluid velocity, whereas energy flux due to a mass concentration gradient improves the temperature field of the flow problem. In addition to this, temperature field is observed to be developed under the influence of radiation absorption and heat generation. Furthermore, the effects of different non-dimensional parameters on velocity field, temperature fluid and species concentration are exhibited graphically.

Diabetes mellitus (DM) is a complex and heterogeneous group of chronic metabolic diseases causing dreaded complications increasing human sufferings, and a costly disease to manage in low/middle-income countries, which is burdensome for the most vulnerable populations, cause financial strain on individuals and family members. The purpose of the study was to analyze the price variability of different brands of sodium glucose co-transporter 2 inhibitors (SGLT2i) and dipeptidyl peptidase 4 inhibitors (DPP4i) and their combinations. The present study was an observational analytical one. The highest and lowest price of each SGLT2i and DPP4i in the same strength marketed by different pharmaceutical companies, were collected from Current Index of Medical Specialties (Jan–April 2023), Indian Drug Review (IDR 2023), Drug Today (April – July 2023) drug manuals. Calculations were done in Indian Rupees per 10 tablets/capsules. For each drug, the cost ratio and percentage of price variation (PPV) were calculated. Among DPP4i, sitagliptin 50 mg has a maximum cost ratio (5.30) and PPV (1083.66%), while sexagliptin 2.5 mg has minimal cost ratio (1.55) and PPV (55.08%). Among SGLT2i, dapagliflozin 5 mg had the highest cost ratio (10.79) and PPV (978.79%) and remogliflozin100 mg had the lowest cost ratio (1.57) and PPV (56.94%) and among combinations dapagliflozin 10 mg+ metformin 500 mg has the highest cost ratio (6.66) and PPV (565.75%), while empagliflozin 12.5 mg + metformin 500 mg has the lowest cost ratio (1.04) and PPV (4.00%). Current study shows large differences in cost ratio as well as PPV between brands. To reduce the financial burden and treatment adherence, physicians must prescribe less expensive drugs. Keywords: Cost analysis, Cost ratio, Percentage of price variation, Diabetes mellitus

The Bornadi Wildlife Sanctuary (BWS) boasts a variety of habitats, including forest, riparian, degraded forest, and transitional zones located near human settlements and cropland. From 2019 to 2022, a thorough avian survey was conducted using the point count method, covering all habitats and seasons. The study documented 227 avian species from 65 families and 18 orders. Of the bird species observed, 72.3% were resident, and 27.7% were migratory. Over the study period, one Endangered species, three Vulnerable, and six Near Threatened species were recorded based on their IUCN Red List status. The avian diversity pattern in BWS is influenced by a variety of factors, including forest contiguity and heterogeneous habitat. Proper evaluation and management of habitats are essential for the recovery and preservation of fragile environments susceptible to decline in the region.

Background: Psychological reactions after any catastrophe can vary from person to person and from disaster to disaster depending upon the level of exposure, the extent of loss, coping mechanisms, and social support available at that time. Objective: The objective of this study was to examine mental health-related issues experienced by emerging adults as a result of flooding in various localities of Assam, which are considered to be as worst affected areas. Materials and Methods: It was a cross-sectional research study and was conducted among the emerging adults of flood-affected areas of Assam amid the issues of ongoing floods between June and July 2022. The convenience sampling method was used in the selection of emerging adults in the age group of 18–25 years, residing in Assam during flooding situations. To measure psychological distress, the Depression, Anxiety, and Stress Scale was used. Additionally, to measure an individual's perception of general health, environmental quality of life, and people's perception of the overall quality of life, the World Health Organization Quality of Life-BREF Scale was used. Results: The findings show that a significant difference was not found between emerging adults who had flood issues on their property and those who had not gone through in the domain of depression (Mann–Whitney U = 1644.0, p=.85), anxiety (Mann–Whitney U = 1657.0, p=.91), and stress (Mann–Whitney U = 1634.0, p=.81). Significant group difference was seen in the environmental quality of life (Mann–Whitney U = 945.5, p

Context: Age-related decline in memory function is a universal phenomenon. However, several factors are known to affect memory decline associated with aging. Aim: The present research aimed to study the differences between young adults and older adults in neurocognitive functions. It also aimed to examine the relative contribution of aging and executive functions to memory performance. Subjects and Methods: The sample consisted of two groups: 43 young adults and 40 older adults. Participants were selected from the community using purposive sampling. Each participant underwent screening using the Edinburgh Handedness Inventory, Modified Mini Screen, and Global Cognitive Screen. A detailed neuropsychological assessment was individually conducted using standardized measures of executive functions, processing speed, episodic memory, and semantic memory. We examined group differences between younger and older participants using the Mann Whitney U test. Additionally, we investigated the contributions of age, processing speed, and executive function to memory through stepwise multiple regression analysis. Results: Analysis of the results suggests significantly worse performance by older participants compared to younger participants on learning and memory (p

Background: Immunization with Bacille Calmette–Guerin (BCG) vaccine, used worldwide for years, for the prevention of tuberculosis, rarely leads to complications like regional lymphadenitis. There is controversy regarding the management of BCG lymphadenitis. We share our experience regarding the management and course of this rare complication in nine infants. Clinical Description: Over a period of 24 months, 9 infants, who had received BCG vaccination after birth, presented to us between 1 and 3 months of age, with left-sided supraclavicular swellings. The infants were otherwise thriving well, with no constitutional symptoms. On examination, the infants were stable with normal systemic examination. Local examination revealed all the swellings to be supraclavicular lymphadenopathies, two of them being suppurative. Thus, the infants fulfilled the clinical criteria for BCG regional lymphadenitis. Management and Outcome: Fine-needle aspiration cytology from the swellings of all infants was consistent with BCG lymphadenitis. Two of the smears were positive for acid-fast bacilli. Besides percutaneous pus aspiration in two infants, no other intervention was done in any of the infants, and no antibiotics nor antitubercular treatment was administered. With observation and regular follow-up, the lymphadenopathies resolved over time in all the infants. Conclusion: This case series creates awareness regarding the benign, self-resolving nature of BCG regional lymphadenitis, which may be followed conservatively without any medical or surgical intervention.

Docetaxel (DTX) and betulinic acid (BA) co-encapsulated poly-lactic co-glycolic acid (PLGA) nanoparticles (NPs) were developed for enhanced lung cancer activity in vitro. Poly (lactic-co-glycolic acid) (PLGA) was used as an encapsulating polymer along with polyvinyl alcohol (PVA) as a stabilizing base to formulate NPs with the double-emulsion solvent evaporation method to study the size and potential, along with the surface morphology and in vitro release, of NPs. Cell culture studies like in vitro cellular uptake, apoptosis, and cell cycle arrest were performed in an in vitro cytotoxicity study to access the NP’s effect in the A549 human lung cancer cell line. The emulsification solvent evaporation technique produced smooth spherical nanoparticles of small sizes with a relatively narrow size distribution (147.2 ± 12.29 nm). On the A549 cell line, the formulation showed higher cytotoxicity (6.43 ± 0.11, 4.21 ± 0.32, and 1.17 ± 0.23 µmol for 24, 48, and 72 h, respectively) compared to the free drug due to an increase in vitro cellular uptake. Apoptosis and cell cycle analysis also confirmed the effectiveness of the prepared NPs. In vitro studies have proven the tumor-targeting potential of DTX-BA-NPs in A549 cell lines and could be future medication for lung cancer treatment.

The fourth industrial revolution, in short Industry 4.0 is the next stage in the digitization of the industrial sector and is being driven by disruptive trends including the growth of data and connectivity, analytics, human-machine interaction, and advancements in robotics. For the past ten years, Industry 4.0 consistently addressed both the industry’s strengths and weaknesses. Industry 4.0 is limited by the higher productivity that smart manufacturing systems provide. The new version of Industry 4.0 is termed Industry 5.0 and it refers to the fifth industrial revolution and is an emerging concept that builds on the advancements of Industry 4.0. Thus, industry 5.0 is an extension and further advancement of Industry 4.0, which focuses on automation, connectivity, and data exchange in manufacturing processes. Industry 5.0 introduces a new level of human-machine collaboration and emphasizes the importance of human creativity and skills alongside advanced technologies. This study discusses the opportunities and directions of future mathematical research towards Industry 5.0.

Abstract Carbon-based nanodots have garnered recent interest for their simple synthesis and versatile utility, ranging from biomedical to (opto) electronic applications, evolving into a tunable and biocompatible material. Here, for the first time, a biochar (lotus leaf) derived carbon nanodots was synthesized through hydrothermal carbonization. The synthesized hollow spherical biochar was engineered via functionalization by grafting –SO3H active sites. The attained catalyst was broadly analyzed by XRD, FTIR, TGA, BET, SEM–EDX, TEM, and XPS analysis after which it was applied for the acetalization reaction of crude glycerol (a biodiesel by-product) to form solketal, a potential fuel additive to valorize the large waste stream generated from biodiesel industry. Employing the RSM-CCD methodology, the experimental matrix was executed, and subsequent data were scrutinized through multiple regressions to model a quadratic equation. Under specific reaction parameters—a reaction duration of 14 min, a molar ratio of 7.5:1, and a catalyst loading of 5.7 wt.%, maximum solketal yield (95.7%) was attained through the ultrasonication method. Finally, to conclude, life cycle cost analysis (LCCA) for solketal production was studied here which determined the overall cost of solketal production per kilogram to be 0.719 USD ($), indicating high commercial applicability.

Abstract Nanocomposite hydrogels (NHs) have emerged as a groundbreaking tool in biomedical applications, offering remarkable versatility and efficacy. Integrating a wide range of nanoparticles, including carbon-based, polymeric, ceramic, and metallic nanomaterials, within hydrogel networks results in nanocomposites with superior properties and tailored functionalities. Recent research has highlighted their potential to address key challenges in drug delivery, cancer therapy, tissue regeneration, biosensing, and wound healing, outstanding to their biocompatibility and bioavailability. Nanohydrogels demonstrate significant promise in drug delivery systems and biological sensors, providing sustained therapeutic activity at targeted sites. This reduces the frequency of drug administration and minimizes the harmful side effects. In the healthcare sector, they have applications ranging from cancer therapy to aesthetic corrections and are a leading topic in tissue regeneration research. This comprehensive review of Biomedical Applications investigates the latest advancements in NHs, focusing on their classification, unique properties, and diverse applications. By identifying the future research prospects and existing gaps, this review aims to highlight the therapeutic and diagnostic potential of nanocomposite hydrogel technology, covering the way for further advancement in the field. Graphical Abstract

Purpose – This research aimed to capture undergraduate students' experiences in the transition from face-to-face (F2F) learning to online learning. This study explored their perceptions regarding the effectiveness of online learning in their academic lives, challenges encountered and suggestions for enhancing online learning in the post-COVID-19 era. Design/methodology/approach – This study employed a concurrent mixed-methods research design and selected 118 undergraduate students using a multistage random sampling technique from four colleges in Assam. Standardized questionnaires and open-ended interview schedules were used. Findings – Undergraduate students reported a positive attitude and satisfaction with online learning, valuing its adaptability to their schedules, its role as a motivating factor for self-learning, its effect on making them more technically proficient and enhancing their communication skills to articulate their thoughts. However, the challenges identified by the students have the potential to overshadow the promises of online learning. This research provided more constructive suggestions under the themes of “content delivery”, “systemic and infrastructural issues”, “pedagogy” and “capacity building” to enhance their experiences with online learning. Practical implications – Our research findings would assist educational institutions in adopting innovative approaches for simpler and more efficient online learning experiences post-COVID-19 pandemic. Institutions should prepare themselves and design dual-mode courses for F2F and online learning. Originality/value – The paper addressed a relevant topic in this era of online learning by examining undergraduate students’ viewpoints that added complementary information to the current body of literature on online learning in rural India. The insights gleaned from their experiences would be beneficial for the development of best practices for online learning in the coming decades.

Background: The COVID-19 pandemic has brought about widespread effects on communities on a global scale, with impacts varying among different demographics. This study focuses on a unique cohort of COVID-19-positive patients from Arunachal Pradesh, a region in northeast India with a substantial indigenous population. This study aims to delve into the features and consequences of COVID-19 in this indigenous population within this distinct demographic region, with a special focus on assessing the effects on tribal communities. Out of a total of 1627 COVID-19 positive cases, 1392 belonged to various tribes of Arunachal Pradesh, categorized as the indigenous population of the region. Our research primarily focuses on examining the biochemical and inflammatory indicators that forecast the clinical results of COVID-19 patients, specifically within both indigenous and non-indigenous groups. Methods: Biochemical markers, including hematological parameters, liver and kidney function biomarkers, D-DIMER, and inflammatory markers, were assessed along with immune-inflammatory ratios: neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR). Differences in biomarker levels and ratios across disease severities were analyzed, and significant data were observed using descriptive statistics. Results: Elevated levels of Ferritin (CRP, IL-6, D-DIMER, Creatinine, Urea, AST/SGOT, and ALT/SGPT) were associated with increasing disease severity in COVID-19 cases, reflecting increased inflammation, multi-organ dysfunction, and coagulopathy in the severe COVID-19 category amongst the indigenous population. The data showed an aligned report with the non-indigenous population of India when compared with various other studies (using a Spearman rank correlation test). Similarly, an increase in the neutrophil-to-lymphocyte ratio (NLR) and a declining shift in the lymphocyte-to-monocyte ratio (LMR) indicated deregulated immune responses and systemic inflammation in the severe category of COVID-19. Conclusion: This population-based study from northeast India offers important perspectives into the pathophysiology of COVID-19 and its link with disease severity among indigenous and non-indigenous populations.

Abstract Images captured in low-light environments are severely degraded due to insufficient light, which causes the performance decline of both commercial and consumer devices. One of the major challenges lies in how to balance the image enhancement properties of light intensity, detail presentation, and colour integrity in low-light enhancement tasks. This study presents a novel image enhancement framework using a detailed-based dictionary learning and camera response model (CRM). It combines dictionary learning with edge-aware filter-based detail enhancement. It assumes each small detail patch could be sparsely characterised in the over-complete detail dictionary that was learned from many training detail patches using iterative $${{\ell}}_{1}$$ ℓ 1 -norm minimization. Dictionary learning will effectively address several enhancement concerns in the progression of detail enhancement if we remove the visibility limit of training detail patches in the enhanced detail patches. We apply illumination estimation schemes to the selected CRM and the subsequent exposure ratio maps, which recover a novel enhanced detail layer and generate a high-quality output with detailed visibility when there is a training set of higher-quality images. We estimate the exposure ratio of each pixel using illumination estimation techniques. The selected camera response model adjusts each pixel to the desired exposure based on the computed exposure ratio map. Extensive experimental analysis shows an advantage of the proposed method that it can obtain enhanced results with acceptable distortions. The proposed research article can be generalised to address numerous other similar problems, such as image enhancement for remote sensing or underwater applications, medical imaging, and foggy or dusty conditions.

Abstract This manuscript introduces an innovative multi-stage image fusion framework that adeptly integrates infrared (IR) and visible (VIS) spectrum images to surmount the difficulties posed by low-light settings. The approach commences with an initial preprocessing stage, utilizing an Efficient Guided Image Filter for the infrared (IR) images to amplify edge boundaries and a function for the visible (VIS) images to boost local contrast and brightness. Utilizing a two-scale decomposition technique that incorporates Lipschitz constraints-based smoothing, the images are effectively divided into distinct base and detail layers, thereby guaranteeing the preservation of essential structural information. The process of fusion is carried out in two distinct stages: firstly, a method grounded in Bayesian theory is employed to effectively combine the base layers, so effectively addressing any inherent uncertainty. Secondly, a Surface from Shade (SfS) method is utilized to ensure the preservation of the scene's geometry by enforcing integrability on the detail layers. Ultimately a Choose Max principle is employed to determine the most prominent textural characteristics, resulting in the amalgamation of the base and detail layers to generate an image that exhibits a substantial enhancement in both clarity and detail. The efficacy of our strategy is substantiated by rigorous testing, showcasing notable progressions in edge preservation, detail enhancement, and noise reduction. Consequently, our method presents significant advantages for real-world applications in image analysis.

Abstract Extracting gas from unconventional shale reservoirs with low permeability is challenging. To overcome this, hydraulic fracturing (HF) is employed. Despite enhancing shale gas production, HF has drawbacks like groundwater pollution and induced earthquakes. Such issues highlight the need for ongoing exploration of novel shale gas extraction methods such as in situ heating through combustion or pyrolysis to mitigate operational and environmental concerns. In this study, thermally immature shales of contrasting organic richness from Rajmahal Basin of India were heated to different temperatures (pyrolysis at 350, 500 and 650 °C) to assess the temperature protocols necessary for hydrocarbon liberation and investigate the evolution of pore structural facets with implications for CO2 sequestration in underground thermally treated shale horizons. Our results from low-pressure N2 adsorption reveal reduced adsorption capacity in the shale splits treated at 350 and 500 ºC, which can be attributed to structural reworking of the organic matter within the samples leading to formation of complex pore structures that limits the access of nitrogen at low experimental temperatures. Consequently, for both the studied samples BET SSA decreased by ∼58% and 72% at 350 °C, and ∼67% and 68% at 500 °C, whereas average pore diameter increased by ∼45% and 91% at 350 °C, and ∼100% and 94% at 500 °C compared to their untreated counterparts. CO2 adsorption results, unlike N2, revealed a pronounced rise in micropore properties (surface area and volume) at 500 and 650 ºC (∼30%–35% and ∼41%–63%, respectively for both samples), contradicting the N2 adsorption outcomes. Scanning electron microscope (SEM) images complemented the findings, showing pore structures evolving from microcracks to collapsed pores with increasing thermal treatment. Analysis of the SEM images of both samples revealed a notable increase in average pore width (short axis): by ∼4 and 10 times at 350 °C, ∼5 and 12 times at 500 °C, and ∼10 and 28 times at 650 °C compared to the untreated samples. Rock-Eval analysis demonstrated the liberation of almost all pyrolyzable kerogen components in the shales heated to 650 °C. Additionally, the maximum micropore capacity, identified from CO2 gas adsorption analysis, indicated 650 °C as the ideal temperature for in situ conversion and CO2 sequestration. Nevertheless, project viability hinges on assessing other relevant aspects of shale gas development such as geomechanical stability and supercritical CO2 interactions in addition to thermal treatment.

42% of all fatalities worldwide resulting from non-communicable diseases (NCD) are attributable to cardiovascular illnesses. The availability of several brands and generic medications causes a wide range in the pricing at which they are sold. This study was conducted to raise awareness among health care workers and patients about the cost difference between different brands of the same hypolipidemic drug, so that, if possible, a cheaper effective brand can be prescribed to ensure better patient adherence. Maximum retail price (MRP) of various hypolipidemic drugs of same strength and dosage forms manufactured by different pharmaceutical companies were obtained from various online and offline sources. The maximum and minimum cost of 10 tablets/capsules were noted. The cost ratio and percentage cost variation were calculated for single drug and fixed dose combinations. The ceiling price (as per DPCO) of hypolipidemics (as per national list of essential medicines) was compared with their maximum cost. Maximum cost variation observed in case of single drug was Atorvastatin 10mg (3043.9393%), and in case of FDC was seen in Rosuvastatin 10mg + Aspirin75mg (561.341%). This study led us to the conclusion that the majority of hypolipidemic medications should be governed by DPCO in order to lessen the economic load of healthcare services on the Indian population. Keywords: Pharmacoeconomic, Cost variation, Hypolipidemic, Statins

Introduction: Cortisol secretion is regulated by circadian rhythm, which is influenced by zeitgebers like light. In India, the entire country operates under a single time zone, Indian Standard Time, which may not align with the local sunrise timing across different regions. Aims: This study aimed to compare the basal serum cortisol levels between 06:00 AM and 09:00 AM in Guwahati, Assam, where sunrise occurs earlier compared with the western part of the country. A cross-sectional pilot study was conducted from December 2022 to June 2023 in a tertiary care hospital in Guwahati. Methods: Serum cortisol samples were collected at 06:00 AM and 09:00 AM from 25 healthy adult participants once in winter and again in summer. Descriptive statistics and paired Student’s t-tests were used. Results: The mean serum cortisol levels at 06:00 AM in winter, summer and overall were 13.2, 13.4 and 13.3 μg/dL, respectively. At 09:00 AM, the mean serum cortisol levels in winter, summer and overall were 8.2, 7.7 and 8.0 μg/dL, respectively. Significant differences were observed between the 06:00 AM and 09:00 AM cortisol levels in both winter and summer (P

Introduction: The presentation of macroprolactinomas and response to treatment may vary according to age, sex and tumour characteristics. To analyse clinical phenotype, biochemical and radiological characteristics of macroprolactinomas presenting to a tertiary care centre. A retrospective observational study from January 2018 to December 2022. Methods: Thirty diagnosed cases (18 females, 12 males) of macroprolactinomas were included and followed up for one year. Results: The most common presentation was headache (73%), visual disturbances (50%), galactorrhoea (33.3%) and loss of libido (26.6%) along with menstrual cycle disturbances (94%), and infertility (55%) in females. Duration of symptoms (2.22 ± 2.87 vs 4.61 ± 3.4 years), tumour size (4.8 ± 2.09 vs 2.75 ± 1.24 cm) and prolactin levels (5153.5 ± 4755.3 vs 1803.5 ± 3785.5 ng/ml) were different significantly between males and females. Good response to medical therapy was observed in 84% of the treatment-naive patients. Conclusion: Macroprolactinomas in males present with shorter duration of symptoms, larger size, higher prolactin levels and more resistant tumours, emphasizing the need for early diagnosis and aggressive management. Medical therapy remains the treatment of choice irrespective of gender.

Introduction: Insulinomas are rare, usually sporadic, and typically benign pancreatic neuroendocrine tumours. Pre-operative localization is challenging and evidence on comparative analysis of anatomic and scintigraphic modalities for pre-operative tumour localization is limited, even in contemporary series. Methods: The current study was designed to study the clinical features and management challenges of insulinomas managed at a tertiary care centre. Clinical features, diagnosis, imaging techniques, surgical procedures, and outcomes details were collated. Pre-operative imaging techniques (CT/MRI, nuclear scintigraphy) were compared with intraoperative and histopathological findings to assess their accuracy of localization. Results: Thirty-seven patients (15 females [42%]; median age 36 years [IQR 28–49]) were included in the study. In four patients (10.8%), the tumour occurred in the setting of multiple endocrine neoplasia type 1 (MEN 1) while the remaining were sporadic. The sensitivity of pre-operative localization was 61.5% (multiphasic CT), 66.6% (multiphasic MRI), 100% (68Ga Exendin-4 PET-CT), and 91.6% (EUS). Three patients with normal multiphasic CT had localization on 68Ga Exendin-4 PET-CT. The positive predictive value (PPV) of both Exendin-PET-CT and EUS was similar at 91.6% and 91.6%, respectively. All patients (except one with nesidioblastosis), who underwent enucleation or partial pancreatic resection, were cured. Conclusion: 68Ga Exendin-4 PET-CT based is a non-invasive imaging modality that has high sensitivity and PPV and can be used as a first-line imaging modality. The overall prognosis of these tumours is good with high cure rates attained following surgical resection.

Background: Subclinical involvement of nerves may sometimes be present much before the overt clinical manifestations become apparent. Protein gene product (PGP) 9.5, a ubiquitin-C-terminal hydrolase, has been widely used as a marker to study the involvement of peripheral nerve fibers in many diseases. Aim and Objectives: To evaluate the change in cutaneous nerve fiber staining and distribution from pre-treatment and post completion of multidrug therapy through the expression of PGP9.5 and to assess PGP9.5 as a marker of treatment response. Materials and Methods: In this prospective single-center observational study, skin biopsy was taken in patients with leprosy, having areas of nerve function impairment (NFI), based on findings of nerve conduction studies (NCSs), but not having lesions or impaired tactile or thermal impairment clinically. The thin nerve fiber density in the clinically normal skin in areas supplied by nerve showing changes of sensory neuropathy was evaluated to study the density of the fibers. A second biopsy was taken at the end of treatment from a site near the previous site to assess the changes in intra-epidermal nerve fiber staining and distribution. Results: Thirty-three patients were recruited in the present study (24 males and 9 females). Pre-treatment, 27 patients had abnormal NCSs, while six patients did not have any evidence of neuropathy on NCSs. Staining for nerve fibers using PGP9.5; in the epidermis was positive in five patients pre-treatment and 11 patients post treatment (P = 0.181). Staining in the dermis revealed positivity in 14 pre-treatment, which increased to 18 post treatment (P = 0.342). Adnexae showed positivity in five patients pre-treatment and increased to 17 post treatment (P = 0.005). Conclusion: A reduced PGP9.5 staining in the epidermal, dermal, and adnexal regions was seen in leprosy patients, which improved post treatment. Thus, PGP9.5 may serve as a marker of NFI and treatment response.

Despite progress in Sustainable Development Goal 6, which envisages clean water and sanitation for all, enormous disparities in access to water and sanitation services between and within countries continue to be a significant challenge. Evidence on the spatial heterogeneity of water, sanitation, and hygiene practices among the Scheduled Tribe (ST) population is limited in India. This study estimates the spatial heterogeneity in ST people's access to improved water and sanitation facilities and its correlates at the district level. Geospatial techniques like Moran's I, univariate and bivariate local indicator of spatial association, and spatial regression models were carried out for 707 districts covered in the fifth round of the National Family Health Survey, 2019–21. Stata was used for descriptive analysis, and ArcMap and GeoDA were used for spatial analysis. Only about half of ST households had access to improved water and sanitation facilities in India. Spatial heterogeneity across districts was evident, with 130 districts from Uttarakhand, Himachal Pradesh, Punjab, Haryana, Delhi, Sikkim, Arunachal Pradesh, Nagaland, Mizoram, and some portion of Karnataka forming the hot spots. Gender and age of the household head, family type, and region were significantly associated with improved water and sanitation facilities among ST households. HIGHLIGHTS Only 50% of the ST households had access to improved water and sanitation.; Spatial heterogeneity across districts was evident in ST household's access to improved water and sanitation.; There were 130 hot and 131 cold spots in tribal-dominated highland and plateau zones.; Gender and age of the household head, family type, and region were associated with improved water and sanitation facilities among ST households.;

Introduction: Supportive supervision is crucial for enhancing healthcare quality by improving internal relationships, resolving issues, and optimizing resources. Recent evidence from India shows it enhances immunization coverage and strengthens the local health system. Objective: To evaluate routine immunization services in terms of input and process through supportive supervision and compare service delivery between two quarters.Method: This cross-sectional study, conducted between July 2021 and February 2022, assessed the delivery of routine immunization services by frontline workers (FLWs) within Village Health Sanitation and Nutrition Day (VHSND) sessions in Assam. Five districts were selected to represent each zone of the state. Micro-plans for VHSND sessions were reviewed to visit 25-30 sessions per district based on operational feasibility. Data collected by district coordinators using a standardized checklist assessed logistics and service delivery. Statistical analysis included quarterly group comparisons using Chi-square and Fisher's exact tests (p < 0.05 significance). The findings were shared in district-level review meetings to facilitate corrective actions by all stakeholders.Results: A total of 140 VHSND sites were assessed. Paracetamol was available at 123 sites (87.9%), and updated due list was present at 120 sites (85.7%). However, Vitamin A was available at 26 sites (18.6%), ORS and Zinc were at 11 sites (7.9%) and 14 sites (10.0%), respectively. The presence of Anganwadi Workers (AWWs) at VHSND sites increased significantly from 61.2% in the first quarter to 76.7% in the second quarter (p = 0.04). Adherence to micro plans among Accredited Social Health Activists (ASHAs) was high, rising from 97.0% in the first quarter to 100% in the second quarter. Record-keeping also improved, with headcount survey documentation increasing from 83.6% in the first quarter to 95.9% in the second quarter (p = 0.01). Conclusion: The study highlighted improvements in logistics, documentation, and ASHA performance under supportive supervision. Continued focus on essential supplies and educational materials, alongside effective supervision and further research, is crucial for enhancing child health outcomes.

The unique structural and biological diversity found in plants renders them a distinctive and sustainable source for discovering new antibacterial, antifungal and antiparasitic compounds. In the present study, antimicrobial and antibiofilm properties of essential oils of citrus varieties of Northeast India were studied against selected foodborne pathogens using both in vitro and in silico approaches. These essential oils showed significant antimicrobial and antibiofilm activities against foodborne pathogens. i.e. Bacillus cereus MTCC430 and Yersinia enterocolitica MTCC859. It was observed that the treatment with essential oil disturbed the membrane integrity of the pathogens, thereby causing the release of nucleic acids. This study also postulated that active compounds of the essential oils interact with different target proteins of the pathogens and provide an explanation for the mechanisms of antimicrobial and antibiofilm action of the essential oils of citrus varieties against foodborne pathogens.

Background: There has been an increasing trend for the development of natural formulations for plaque control using medicinal plants as an adjunct, which can be a feasible alternative as these are widely available, cost-effective, and have fewer side effects. Aim: The evaluation of the effects of medicinal plant extracts in chronic periodontitis (CP). Materials and Methods: This study was carried out in two phases; first the antibacterial activity of two medicinal plant extracts was tested on periodontal pathogens, thereafter, a clinical assessment was carried out on subjects with CP. Forty-five individuals suffering from CP were randomized into three different groups; Group A: Scaling and root planing (SRP) along with Piper longum rinse, Group B: SRP along with mixture of Tinospora cordifolia and P. longum rinse, Group C: SRP along with chlorhexidine (CHX) (control group). The clinical parameters (gingival index [GI], plaque index, gingival bleeding index [BI], probing pocket depth [PPD], and clinical attachment level [CAL]) were recorded at baseline and months 1 and 3. The intra- and intergroup comparison of clinical parameters for all groups at different time intervals was performed. Results: At the end of the trial, all the three groups showed a statistically significant reduction when compared to baseline for all the clinical parameters. In intergroup comparison, statistically significant reduction in GI, PPD, and CAL for both Group A and Group C was seen at 3 months as compared to Group B. Comparable reduction was seen between Group A and C for all the clinical parameters. Reduction in plaque and gingival BI was seen to be highest in Group A. Conclusion: P. longum can be effectively utilized as an additive to mechanical periodontal treatment in comparison to CHX mouthwash for CP patients.

Background: Temporomandibular disorder (TMD) presents as a multifaceted condition that impacts the temporomandibular joint (TMJ), the masticatory muscles, and other related structures. The role of occlusal factors in TMD etiology has been a subject of debate, necessitating further investigation. Aim: This questionnaire-based research aimed to explore the relationship between occlusal discrepancies and their role in TMD. Materials and Methods: The study involved 126 volunteers, comprising 69 females and 57 males, aged between 15 and 40 years, who had no previous history of systemic, musculoskeletal, or neurological disorders. To assess the degree of TMD, the researchers utilized the Fonseca questionnaire, and extra-oral and intra-oral examinations were done to check for occlusal discrepancy which was then classified according to the criteria of Angle’s classification in all three planes along with functional TMJ examination. Results: 55.5% of the population had some of the symptoms of TMJ disorders. Clinical examination showed that 45.2% of the population had tenderness on palpation. Variation of mouth opening was 37.72 ± 0.401 (±1.06%), the right lateral excursive movements were 6.88 ± 0.177 (±2.57%), and left lateral excursive movements were 6.6 ± 0.228 (±3.46%) respectively. The presence of “clicking” or “popping” was noted in 55 (43.6%) participants. Conclusion: The findings suggest that occlusal factors may significantly affect TMD development and symptomatology. Cases with occlusal discrepancies in multiple planes exhibited a significantly high prevalence of signs and symptoms related to TMD.

ABSTRACT: Uterine infections in cattle and buffaloes cause severe economic loss to farmers and phytoremediation emerges as a promising alternative to synthetic antimicrobials to combat this issue. Herein, we investigated the precise mechanism of antibacterial action of Prosopis juliflora leaves (PJ) extract against a clinical isolate of E. coli with special reference to its anti-biofilm activity. PJ extract exhibited promising in vitro antibacterial action with 54.55% inhibition of bacterial biofilm production and decreased the multilayer growth of biofilms and free-living cells by influencing the integrity of cell walls as evidenced by scanning electron microscopy. Furthermore, it was observed that the damaged cell wall of the bacteria prevented the formation of clusters and prevented it from maintaining its normal morphology in the presence of the extract. Taken together, it may be inferred that PJ extract can be used to treat uterine infections as an alternative to synthetic antimicrobials; nevertheless, further investigations are warranted to ascertain its effectiveness in vivo.

The paper tries to analyze the impacts of erosion on the livelihood and vulnerability statusof the char dwellers of Assam, India. The study employs both quantitative and qualitative methodologies, choosing one district from each of Assam's agro-climatic zones across the Brahmaputra valley as a representative of the state's char regions. As a qualitative tool, the study uses the participatory rural appraisal (PRA) technique and as quantitative tool the study uses Vulnerability as Uninsured Exposure to Risk (VER) econometric model.394 char households were surveyed through a semi-structured schedule. For each village selected for the study, a combined social-resource map was created using the PRA method in order to determine the severity of the erosion issue in the char regions. The VER model is used to empirically examine the relationship between char land erosion and the well-being of char inhabitants. The study reveals that erosion of the char land has serious, detrimental impacts on the livelihood and economic well-being of the char residents and thereby make the char dwellers vulnerable. The study makes recommendations of both structural and non-structural adaptation practices to minimize the effects of erosion on char dwellers livelihood.

Background: Chronic myeloid leukemia (CML) is a hematologic malignancy characterized by excessive growth of myeloid cells and their progenitors. The incidence of CML is approximately 1–2/100,000 population per year. Aims and Objectives: The aims and objectives of the study are to determine the clinicopathological features of patients with CML and their risk stratification by the Sokal score at a tertiary care hospital in North-East India. Materials and Methods: This was a single-center prospective study conducted for 5 years (2018–2022). A total of 109 cases diagnosed with CML by qualitative analysis of BCR-ABL1 transcript reverse transcription-polymerase chain reaction were included in the study. The Sokal score was calculated using previously published formulae to classify the patients into different risk groups. The outcome (dead or alive) of CML patients was compared with their individual risk groups using Fisher’s exact test. Results: Out of 109 CML patients, 73 were males and 36 were females. At the end of the study, 85 patients were alive whereas 24 died. The mean age at presentation was 42.08±15.06 years. The pediatric age group comprises 1.84% of total cases. The percentages of death were higher (79.17%) in patients aged 18–59 years, followed by 20.83% in ≥60 years age group, whereas no death was recorded in the pediatric age group (

Background: Autoimmune hemolytic anemia (AIHA) is a group of hematological disorders where there is autoantibody mediated destruction of red blood cells. It can be life threatening if not appropriately treated. Early diagnosis and work up and timely multipronged management is the key to success. Case report: We report four cases of diverse etiology - one each of post SARS-CoV-2 AIHA, idiopathic AIHA, drug-induced AIHA and common variable immunodeficiency (CVID) associated Evans syndrome. All were treated with steroids as the first line agent while the child with CVID required additional immunosuppressive therapy. Conclusion: This case series re-emphasizes the need to look for diverse etiologies in AIHA. The role of whole exome sequencing is discussed for a definitive diagnosis if accessible in selected cases.

Leachate-contaminated water (LCS) poses significant health risks due to its heavy metal content and altered physicochemical properties. This study examined the physicochemical parameters and heavy metal levels in LCS and assessed its reproductive toxicity, genotoxicity, and cytotoxic effects in exposed mice. Groups of mice (n = 5) were orally administered 100 μL of 30 % and 70 % LCS (v/v) twice daily for 35 days. Drinking water served as a negative control, and cyclophosphamide (Cyp) (20 mg/kg bw) as a positive control. On day 36, the mice were weighed, sacrificed, and their testicular weight, sperm count, sperm morphology, viability, acrosome integrity, and serum testosterone were examined. Oxidative stress in the testes, histopathological changes, and serum markers for liver and kidney function (SGOT, SGPT, and creatinine) were also assessed. Genotoxic effects were evaluated using a micronuclei (MN) assay. Analysis of the leachate showed altered physicochemical parameters and elevated heavy metal levels. Exposure to LCS led to a significant decrease in relative testis weight, sperm count, normal sperm morphology, viability, acrosome integrity, and serum testosterone levels. It also caused a notable increase in MDA levels and a decrease in catalase (CAT), superoxide dismutase (SOD), and glutathione (GSH) levels, along with histological changes in the testes of LCS-treated mice compared to controls. Additionally, there was a significant rise in MN formation in RBCs and elevated levels of liver enzymes and creatinine, indicating liver and renal toxicity. Histological alterations in the liver and kidneys were also observed in LCS-exposed mice. These findings suggest that LCS induces reproductive toxicity, genotoxicity, and cytotoxicity in male subjects.

Bacteria are living microorganisms that play an essential role in the biodegradation process. They can break down and detoxify harmful substances, thereby mitigating environmental contamination through natural means. The Gompertz and Logistic models are two growth models commonly utilized to examine population growth in biological systems. In this study, we have modified these models to investigate the growth of Escherichia Coli K2 bacteria. The mathematical parameters have been substituted with biologically meaningful parameters, and five new estimation methods have been introduced to evaluate the model parameters using standard growth data for E. Coli K2. The best method is selected based on a standardized criterion used in this study. The proposed methods demonstrate strong performance, and the estimated parameters are both logically coherent and biologically relevant.

Large language models (LLMs) have become transformative tools in areas like text generation, natural language processing, and conversational AI. However, their widespread use introduces security risks, such as jailbreak attacks, which exploit LLM’s vulnerabilities to manipulate outputs or extract sensitive information. Malicious actors can use LLMs to spread misinformation, manipulate public opinion, and promote harmful ideologies, raising ethical concerns. Balancing safety and accuracy require carefully weighing potential risks against benefits. Prompt Guarding (Prompt-G) addresses these challenges by using vector databases and embedding techniques to assess the credibility of generated text, enabling real-time detection and filtering of malicious content. We collected and analyzed a dataset of Self Reminder attacks to identify and mitigate jailbreak attacks, ensuring that the LLM generates safe and accurate responses. In various attack scenarios, Prompt-G significantly reduced jailbreak success rates and effectively identified prompts that caused confusion or distraction in the LLM. Integrating our model with Llama 2 13B chat reduced the attack success rate (ASR) to 2.08%. The source code is available at: https://doi.org/10.5281/zenodo.13501821.

Background This review aims to explore advances in the field of cerebral palsy (CP) focusing on machine learning (ML) models. The objectives of this study is to analyze the advances in the application of ML models in the field of CP and to compare the performance of different ML algorithms in terms of their effectiveness in CP identification, classifying CP into its subtypes, prediction of abnormalities in CP, and its management. These objectives guide the review in examining how ML techniques are applied to CP and their potential impact on improving outcomes in CP research and treatment. Methodology A total of 20 studies were identified on ML for CP from 2013 to 2023. Search Engines used during the review included electronic databases like PubMed for accessing biomedical and life sciences, IEEE Xplore for technical literature in computer, Google Scholar for a broad range of academic publications, Scopus and Web of Science for multidisciplinary high impact journals. Inclusion criteria included articles containing keywords such as cerebral palsy, machine learning approaches, outcome response, identification, classification, diagnosis, and treatment prediction. Studies were included if they reported the application of ML techniques for CP patients. Peer reviewed articles from 2013 to 2023 were only included for the review. We selected full-text articles, clinical trials, randomized control trial, systematic reviews, narrative reviews, and meta-analyses published in English. Exclusion criteria for the review included studies not directly related to CP. Editorials, opinion pieces, and non-peer-reviewed articles were also excluded. To ensure the validity and reliability of the findings in this review, we thoroughly examined the study designs, focusing on the appropriateness of their methodologies and sample sizes. To synthesize and present the results, data were extracted and organized into tables for easy comparison. The results were presented through a combination of text, tables, and figures, with key findings emphasized in summary tables and relevant graphs. Results Random forest (RF) is mainly used for classifying movements and deformities due to CP. Support vector machine (SVM), decision tree (DT), RF, and K-nearest neighbors (KNN) show 100% accuracy in exercise evaluation. RF and DT show 94% accuracy in the classification of gait patterns, multilayer perceptron (MLP) shows 84% accuracy in the classification of CP children, Bayesian causal forests (BCF) have 74% accuracy in predicting the average treatment effect on various orthopedic and neurological conditions. Neural networks are 94.17% accurate in diagnosing CP using eye images. However, the studies varied significantly in their design, sample size, and quality of data, which limits the generalizability of the findings. Conclusion Clinical data are primarily used in ML models in the CP field, accounting for almost 47%. With the rise in popularity of machine learning techniques, there has been a rise in interest in developing automated and data-driven approaches to explore the use of ML in CP.

Introduction: The hilum of the kidney leads into a central renal sinus filled with the renal pelvis and renal vessels. The classical arrangement of the structures present is the renal vein, renal artery, and renal pelvis, from anterior to posterior. Previous studies have shown many variations in the arrangement of the structures in the renal hilum; however, there is a lack of literature on this topic in the North-east region of India, where many communities and tribes reside. Aim: To evaluate both the classical and anatomical variations in the arrangement of the renal hilar structures in human cadavers. Materials and Methods: The present study was a cadaveric cross-sectional study conducted in the Department of Anatomy at Assam Medical College, Assam, India, involving 160 specimens from 80 cadavers, both adult and foetal (≥36 weeks), from July 2013 to June 2014. Among these, 15 were adult cadavers and 65 were perinatal cadavers (11 male and 4 female adults; 28 male and 37 female perinates). The relations of the structures, i.e., renal artery, renal vein, and renal pelvis present in the renal hilum, were studied in an anterior-posterior manner after meticulous dissection. Results: In the present study, the majority of specimens exhibited hilar structures arranged in a VAP pattern (67 kidneys, 41.88%), with a higher occurrence on the left-side (37 kidneys, 23.1%) compared to the right-side (30 kidneys, 18.7%). This was followed by a VAPA pattern (28 kidneys, 17.5%). Variations in the arrangement of hilar structures other than the classical arrangement were observed in more than 59% (93 kidneys) of the specimens. It was noted that the anterior and posterior divisions of the renal artery and the anterior and posterior tributaries of the renal vein occupied the pre-hilar and hilar regions rather than the main trunks. Conclusion: It was observed that the arrangement of the structures present in the renal hilum exhibits a wide spectrum of variations. Knowledge of these variations may be beneficial not only for anatomists but also for urologists and radiologists, as it may help prevent or at least minimise the incidence of intraoperative injuries and post-operative complications. Urological procedures such as nephrectomy and renal transplant operations require careful dissection and separate ligation of the renal vessels present in the renal hilum to prevent arteriovenous fistula and massive haemorrhage. Prior knowledge of unusual arrangements of the hilar structures may assist surgeons in avoiding inadequate ligation of vessels and minimising complications.

According to the Food and Agriculture Organization (FAO), around 33 % of the world's food, equivalent to 1.3 billion tonnes, is wasted annually as of 2019. This wastage is disproportionately high in developed regions like Europe and North America, where individuals discard an average of 95–115 kg per annum, compared to 6–11 kg in parts of Asia and North Africa. Kitchen waste, comprising 30–40 % of Municipal Solid Waste (MSW), significantly contributes to environmental degradation and greenhouse gas emissions if not properly managed. To address these issues, an integrated waste management approach is being adopted, focusing on recycling resources from uncooked kitchen waste. Three different types of organic waste; uncooked kitchen waste, sawdust, and fresh cow dung/digestate, which also served as an inoculum, have been considered to optimize the quality and effectiveness of biofertilizers. In-vessel reactor composting, studied under controlled conditions, digestate in a 7.5:1.5:1 ratio as an effective inoculum, showed promising results in physio-chemical parameters compared to other trials. Additionally, using fresh cow dung as an inoculum led to significant bioaccumulation of pollutants, suggesting its potential for bioremediation purposes. These findings highlight the importance of innovative waste management strategies in reducing food waste, mitigating environmental impact, and promoting sustainable resource utilization.

Abstract Opencast coal mining produces trash of soil and rock containing various minerals, that are usually dumped nearby the abandoned sites which causes severe environmental concern including the production of acid mine drainage (AMD) through oxidation pyrite minerals. The current study entailed assessing the potential production of AMD from an opencast coal mining region in Northeast part of India. In order to have a comprehensive overview of the AMD problem in Makum coalfield, the physico-chemical, geochemical, and petrological characteristics of the coal and overburden (OB) samples collected from the Makum coalfield (Northeast India) were thoroughly investigated. The maceral compositions reveal that coal features all three groups of macerals (liptinite, vitrinite, and inertinite), with a high concentration of liptinite indicating the coal of perhydrous, thereby rendering it more reactive. Pyrite (FeS2) oxidation kinetics were studied by conducting the aqueous leaching experiments of coal and (OB) samples to interpret the chemical weathering under controlled laboratory conditions of various temperature and time periods, and to replicate the actual mine site leaching. Inductively coupled plasma-optical emission spectroscopy (ICP-OES) was operated to detect the disposal of some precarious elements from coal and OB samples to the leachates during our controlled leaching experiment. The Rare earth element (REE) enrichment in the samples shows the anthropogenic incorporation of the REE in the coal and OB. These experiments reveal the change in conductivity, acid producing tendency, total dissolved solid(TDS), total Iron(Fe) and dissolved Sulfate(SO4 2−) ions on progress of the leaching experiments. Moreover, the discharge of FeS2 via atmospheric oxidation in laboratory condition undergoes a significant growth with the rise of temperature of the reaction systems in the environment and follows pseudo first order kinetics. A bio-remediative strategies is also reported in this paper to mitigate AMD water by employing size-segregated powdered limestone and water hyacinth plant in an indigenously developed site-specific prototype station. Apart from neutralisation of AMD water, this eco-friendly AMD remediation strategy demonstrates a reduction in PHEs concentrations in the treated AMD water.

This article aims to identify potential sites for agricultural use in the state of Manipur of north east India by employing the analytic hierarchy process in a geographic information system environment in conjunction with the use of remote sensing and soil data. Within the analytic hierarchy process, each terrain variable underwent a pairwise comparison and criteria weights were assigned according to their relative importance. Eight variables were selected and used in land suitability analysis for agriculture. It was found that Manipur had 57% (12,660 km2) of its total geographical area suitable for agriculture. However, 8126 km2 (37%) and 1374 km2 (6%) of the total geographical area was currently and permanently unsuitable land respectively. The distribution of suitable land varied greatly, with highly, moderately and marginally suitable land covering only 8%, 16% and 33% respectively of the total geographical area. The highly suitable agricultural land is predominantly concentrated in the Imphal valley (70%), though 90% of moderately suitable and 96% of marginally suitable land also exist in the hills. The hilly areas constitute 96% and 97% respectively of currently unsuitable and permanently unsuitable land in the state. Suitable land comprises of land with low to medium altitude, gentle to moderate slopes, soil of fine or acceptable quality, and with minimal flood risk. Unsuitable lands tend to be diametrically opposite to these attributes with steep hill slopes. The nature of distribution of land suitability types influences the agricultural pattern in Manipur. Agriculture in the hill areas comprises mainly of shifting cultivation on hill slopes, whereas in the valley region it is irrigated and permanent. This analysis of Manipur has a wider applicability since the shifting cultivation-irrigated agriculture combination is similar to that which exists across much of the highlands of South East Asia.