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Abstract Although single‐stage inverters are popular for simpler design they face difficulties in shoot‐through mode operation. Insufficient DC voltage regulation and complicated LC network are principal drawbacks of these topologies. A new split source inverter (SSI) can solve problems with single‐stage inverters. In this paper, SSI replaced the voltage source inverter (VSI) of a shunt active power filter (SAPF) which alleviates power quality (PQ) issues in power system. Furthermore, a VSI‐based SAPF faces challenges to maintain consistent voltage across DC‐link capacitor, exactly compensating current generation, and switching loss reduction in inverter. This study examined efficacy of two inverter‐based SAPFs considering a modified synchronous reference frame approach for generating reference current; fuzzy logic controller for regulating DC‐link voltage; and adaptive fuzzy hysteresis current controller for generating switching pulses. Ideal and non‐ideal sources were considered when running the simulations for various load circumstances. The proposed SSI‐based SAPF with an advanced control approach can eradicate source current harmonics to 0.52% and 0.45% under ideal source conditions, and 0.65% and 0.54% under non‐ideal source conditions for non‐linear loads. Similarly, the ripples in the DC‐link voltage are also reduced to 2–3 V for the ideal case and 4–5 V for non‐ideal case.

Menopause, occurring typically between the ages of 45 and 55 years, marks the end of a woman’s reproductive years and is characterized by the cessation of menstruation and a significant decline in estrogen and progesterone production. These hormonal changes impact various aspects of health, including oral health. This review explores the clinical implications of menopause on oral health and outlines preventive strategies. Hormonal changes during menopause can lead to xerostomia (dry mouth), periodontal disease, burning mouth syndrome (BMS), oral mucosal changes, altered taste sensation, and osteoporosis-related oral health issues. Xerostomia results from decreased salivary flow, increasing the risk of dental caries and oral infections. Periodontal disease is exacerbated by estrogen deficiency, leading to bone loss and increased tooth mobility. BMS, characterized by a chronic burning sensation, and oral mucosal atrophy are linked to hormonal fluctuations. In addition, altered taste perception and osteoporosis further complicate oral health management. Effective prevention and management strategies include regular dental checkups, good oral hygiene practices, and tailored treatments such as fluoride treatments, saliva substitutes, and hormone replacement therapy. Nonpharmacological approaches such as stress management and lifestyle modifications also play a role. This review emphasizes the importance of a multidisciplinary approach, involving dental and medical professionals, to address the complex oral health challenges faced by menopausal women. Understanding the underlying mechanisms and implementing evidence-based preventive measures can significantly enhance the oral health and overall well-being of menopausal women.

Abstract Wearable assistive devices are vitally important for tetraplegic individuals to provide valuable insights into their intended directives tailored to tongue motions in wireless healthcare industries. The flexible differentially driven extraoral antenna and rectenna measurement system are developed to enable differential sensing and monitoring of the set of unique tongue gestures for extraoral tongue drive system (eTDS) applications in three frequency bands of Industrial, Scientific, and Medical (ISM) (915.0 MHz, 2400 MHz, and 5800 MHz). The performance analysis is carried out using the heterogeneous human head model. The differential rectifier is coplanarly integrated with the differential extraoral antenna on the same 0.254 mm thin and 9.5 mm wider Rogers RT/ Duroid 6010 LM substrate. The footprint of the fabricated differential rectenna is 0.135 $$\:{\varvec{\lambda\:}}_{\varvec{g}}\times\:$$ 0.082 $$\:{\varvec{\lambda\:}}_{\varvec{g}}$$ $$\:\times\:$$ 0.002 $$\:{\varvec{\lambda\:}}_{\varvec{g}}$$ where the planar size of differential rectifier is 15.75 $$\:\:\times\:$$ 2.5 mm2. The fabricated systems are situated closely to an artificial head model. The maximum conversion efficiency achieved at 2400 MHz and 5800 MHz is 83.45% and 74.8%, respectively, for 11 dBm of RF input power. Further, the link analysis, including interfacing circuit losses, was carried out theoretically at 915 MHz. Thus, the proposed differential extraoral systems can be employed to acquire and transmit the user intentions in eTDS inspired healthcare applications.

Abstract Background Helicopter Emergency Medical Services (HEMS) in the United Kingdom (UK) deliver enhanced care to high-acuity, critically ill and injured patients. To enable patients to meet the HEMS team who treated them, many services within the UK have developed or are in the process of developing a Patient and Family Aftercare Service (PFAS). This study aims to evaluate whether the introduction of PFAS mitigates anxiety associated with patient aftercare visits. Methods A service evaluation of anxiety in HEMS team members before and after patient aftercare visits were conducted. The study was carried out between 1 September 2023, and 31 October 2023, and patient visits were undertaken between March 2022 and July 2023. An electronic survey was distributed to the respondents who provided informed consent for participation. The survey comprised the validated generalised anxiety disorder anxiety scale (GAD-7) and five additional contextualised statements developed through the wider PFAS. Anonymised data were collected using REDCap, a secure electronic database and was analysed in R programming. Free-text comments were reported by content analysis, placed into themes, and discussed with a narrative to complement the quantitative analysis. Results Of the 33 recipients, 25 completed the questionnaire. Between the pre- and post-aftercare visits, a statistically significant difference was found between scores for GAD-7 (0.004, p

Abstract High‐resolution climate projections are valuable resources for understanding the regional impacts of climate change and developing appropriate adaptation/mitigation strategies. In this study, we developed a 10‐km gridded hydrometeorological dataset over India by dynamic downscaling of the bias‐corrected Community Earth System Model (CESMv1) climate projections under RCP8.5 scenario using the state‐of‐the‐art Weather Research and Forecasting (WRF) model. The downscaled CESM dataset (DSCESM) is archived in the World Data Center for Climate (WDCC) portal at three temporal resolutions (daily, monthly and monthly climatology) for current (2006–2015), mid‐century (2041–2050) and end‐century (2091–2100) periods. The dataset includes 2‐m air temperature, total accumulated precipitation, wind speed, relative humidity, sensible and latent heat fluxes, along with surface shortwave and outgoing longwave radiation. All the DSCESM variables were evaluated against reanalysis data and station observations for the period 2006–2015. This dataset can help us quantitatively understand regional climate change in India. It can also be used in conjunction with agricultural, hydrological, fire and other application models for climate change impact assessment on various sectors to help develop effective adaptation/mitigation strategies.

Abstract Background Higher educational attainment is important for economic wellbeing and associated with better health and longevity. Previous research focused on intelligence, socioeconomic status and mental health or individual risk behaviours as predictors of educational attainment, but the role of multiple domains of adolescent risk behaviours is less clear. This study examined the association between multiple domains of risk behaviour in adolescence and educational attainment by 22 years-of-age. Methods Young people (Generation 2, Gen2) and their parents (Generation 1, Gen1) participating in the Raine Study completed questionnaires at years 1, 5, 8, 10 (Gen1 only), 14, 17 (both) and 22 (Gen2 only). The Raine Study is an ongoing longitudinal study initiated in Perth, Western Australia, between 1989 and 1991. The 1,102 Gen2 participants who responded to questions about highest educational attainment were included in this study. The association between Gen2 self-reported risk behaviours (including age at commencement of drinking alcohol, smoking, sexual intercourse and drug use) and educational attainment (defined as self-reported years of completed high school: ≤10, 11, 12 or tertiary education (> 12)) at year 22, after adjusting for mother’s age and combined parental education level, participant sex, and family income, educational performance and adolescent mental health, was explored using ordinal regression models and presented as odds ratios (OR) with 95% confidence intervals (CI). Results Ordinal models suggested that never smoking or starting older than 18 compared with smoking before age 15 (OR 2.02, 95%CI: 1.28–2.14); first drinking alcohol between 15 and 17 years compared with younger than 15 (OR 1.52, 95%CI: 1.08–2.14); and, first sexual intercourse aged ≥ 18 years compared with under 15 (OR 1.67, 95%CI: 1.08–2.57) were associated with higher levels of educational attainment at 22-year follow-up. Additionally, lower (“better”) behavioural scores increased the odds of higher levels of attainment. Conclusions Absence of health risk behaviours at a younger age or later commencement was associated with higher educational attainment. Evidence-based interventions that address the societal influences underpinning risk behaviours in adolescents may support longer school retention.

Congenital eye disorders are an important cause of childhood blindness. They can be due to defective development of ocular tissues during the intrauterine life, which can result from adverse genetic, environmental factors, teratogens, or chromosomal anomalies in the developing embryo. We report three such cases with congenital retinal disorders where even surgical intervention would result in a poor visual outcome. Preconceptional genetic counseling of prospective parents can maximize the chances of the couple having a healthy baby. Premarital counseling for consanguinity and screening for carriers of genetic diseases can help prevent many congenital diseases. Proper diagnosis and early intervention may provide a favourable outcome.

Glioblastoma multiforme (GBM) is an infrequent type of brain cancer. The prevalence of GBM is very low, that is, 10 per 100,000 cases. It is, however, the most belligerent and malignant type of brain cancer, which is often fatal. Patients having GBM show notably poor prognosis. GBM can occur at any age, but oftentimes, it is seen in older adults. Despite advancements in the field of medicine and research for the specific medicament for GBM, no refinement has been seen in the survival rates in the past three decades. We performed an advanced search in Google Scholar database between January 2003 and December 2023 using the keywords such as “brain cancer,” “glioma,” “brain tumor,” and “glioblastoma multiforme”. This search resulted in 673 articles related to the recent and advanced information of GBM. However, 101 contemporary and relevant articles were shortlisted for final review based on the most recent information about GBM such as its categorization, clinical manifestation, etiology, pathogenesis, diagnosis, treatment, and recurrence. From these articles, relevant information was used and presented in this comprehensive narrative review to briefly outline the clinical manifestation, pathogenesis, genetic study, etiology, diagnosis, and treatment of GBM with the latest advancements.

Abstract Protein–protein interaction (PPI) prediction is vital for interpreting biological activities. Even though many diverse sorts of data and machine learning approaches have been employed in PPI prediction, performance still has to be enhanced. As a result, we adopted an Aquilla Influenced Shark Smell (AISSO)-based hybrid prediction technique to construct a sequence-dependent PPI prediction model. This model has two stages of operation: feature extraction and prediction. Along with sequence-based and Gene Ontology features, unique features were produced in the feature extraction stage utilizing the improved semantic similarity technique, which may deliver reliable findings. These collected characteristics were then sent to the prediction step, and hybrid neural networks, such as the Improved Recurrent Neural Network and Deep Belief Networks, were used to predict the PPI using modified score level fusion. These neural networks’ weight variables were adjusted utilizing a unique optimal methodology called Aquila Influenced Shark Smell (AISSO), and the outcomes showed that the developed model had attained an accuracy of around 88%, which is much better than the traditional methods; this model AISSO-based PPI prediction can provide precise and effective predictions.

Background and Aims: The second-generation supraglottic airway device is conventionally inserted blindly, which might result in suboptimal placement. Limited literature exists on under-vision insertion techniques, particularly in paediatric patients. The primary objective of this study was to compare the oropharyngeal leak pressure (OPLP) between the blind insertion of the LMA Blockbuster® and the Miller laryngoscope-guided insertion in children. Secondary outcomes included the number of insertion attempts, haemodynamic disturbances, insertion time and airway complications. Methods: This randomised controlled trial study enroled 100 patients aged 1–4 years undergoing elective surgery. Patients were randomised into blind insertion (Group A) or Miller laryngoscope-guided insertion (Group B) of the LMA Blockbuster®. The primary outcome measure was OPLP. Insertion time, haemodynamic changes and postoperative complications were also assessed. The Chi-square, Fisher’s exact and t-test were applied appropriately, with the significance level set at P < 0.05. Results: Significantly higher mean OPLP was observed in Group B compared to Group A - 27.9 [standard deviation (SD): 1.58] cmH2O versus 25.94 (SD: 0.63) cmH2O [mean difference (MD): 1.96 (95% confidence interval {CI}: 1.48, 2.44; P < 0.001)]. Mean insertion time was longer in Group B, that is, 11.9 (SD: 1.91) s versus 8.7 (SD: 0.6) s [MD: 3.2 s; (95% CI: 2.63, 3.76; P < 0.001)]; however, the difference was not clinically relevant. First-attempt insertion, haemodynamic stability and postoperative complications were comparable (P > 0.05). Conclusion: Miller laryngoscope-guided under-vision insertion of LMA Blockbuster® improves alignment with epiglottic structures compared to blind insertion.

Abstract Single-cell RNA sequencing (scRNA-seq) can resolve transcriptional features from individual cells, but scRNA-seq techniques capable of resolving the variable regions of B cell receptors (BCRs) remain limited, especially from widely-used 3′-barcoded libraries. Here, we report a method that can recover paired, full-length variable region sequences of BCRs from 3′-barcoded scRNA-seq libraries. We first verify this method (B3E-seq) can produce accurate, full-length BCR sequences. We then apply this method to profile B cell responses elicited against the capsular polysaccharide of Streptococcus pneumoniae serotype 3 (ST3) by glycoconjugate vaccines in five infant rhesus macaques. We identify BCR features associated with specificity for the ST3 antigen which are present in multiple vaccinated monkeys, indicating a convergent response to vaccination. These results demonstrate the utility of our method to resolve key features of the B cell repertoire and profile antigen-specific responses elicited by vaccination.

Abstract During their development, amphibians undergo various physiological processes that may affect their susceptibility to environmental pollutants. Naturally occurring fluctuations caused by developmental events are often overlooked in ecotoxicological studies. Our aim is to investigate how biomarkers of oxidative stress are modulated at different stages of larval development in the Amazonian amphibian species, Physalaemus ephippifer. The premetamorphosis, prometamorphosis and metamorphic climax stages were used to analyze total antioxidant capacity (ACAP), glutathione S-transferase (GST) activity, lipid peroxidation (LPO) levels and the expression of genes nrf2, gst, gsr (glutathione reductase) and gclc (glycine-cysteine ligase, catalytic subunit). Although there was no difference in ACAP and the genes expression among the studied stages, individuals from the premetamorphosis and prometamorphosis showed higher GST activity than ones under the climax. LPO levels were highest in individuals from the metamorphic climax. The present study suggests that the oxidative status changes during ontogeny of P. ephippifer tadpoles, especially during the metamorphic climax, the most demanding developmental phase. Variations in the redox balance at different developmental stages may lead to a divergent response to pollution. Therefore, we recommend that studies using anuran larvae as biomonitors consider possible physiological differences during ontogeny in their respective analyses.

A new species of the genus Sphecodes, i.e. Sphecodes solanensis sp. nov. is described from India. Also, two species of the genus, namely Sphecodes binghami Blüthgen 1924 and Sphecodes hakkarensis Warncke 1992 are recorded for the first time from India. An annotated checklist with valid names of the genus, synonyms, and seven new regional records within India is also included.

Background: Non-neoplastic, reactive proliferation of Langerhans cells is observed in leukemias, pseudo-lymphomas, carcinomas, etc. Juvenile myelomonocytic leukemia (JMML) is a rare myelodysplastic/myeloproliferative neoplasm with a few overlapping clinical features to Langerhans cell histiocytosis (LCH). JMML involving the lymph nodes may show the proliferation of Langerhans cells. Case report: A two year old boy presented with fever, hepatosplenomegaly and elevated total leukocyte count with monocytosis. Bone marrow revealed dysplasia in erythroids and myeloids. Axillary lymph node showed sheets of macrophages in sinuses and paracortical areas (S100, CD68 and CD 1a positive) admixed with eosinophils, mimicking LCH. Molecular analysis revealed somatic heterozygous, missense mutation in PTPN11 exon 3, a known pathogenic hot spot mutation in JMML. Conclusion: The treatment and prognosis of JMML and LCH are different. JMML may have a clinical and morphological overlap with LCH and hence can be misdiagnosed. This paper highlights the similarities and differences between the two diseases with a case illustration.

Rectal thermometers are commonly used to assess animal health, but non-invasive methods like thermal imaging are gaining popularity for their ease. This study explores using infra-red thermography to measure eye temperatures as a proxy for body temperature in buffaloes. Among 280 adult female buffaloes, rectal temperature averaged 38.26 ± 0.38 °C, while eye temperature averaged 36.99 ± 0.47 °C. Statistical analysis showed a significant positive correlation (0.674, p

Background and Aims: Labor pain is consistently ranked high on the various pain rating scales, when compared to other painful life experiences, and the experience of labor during the process of childbirth is both complex and subjective. Though patient-controlled epidural analgesia (PCEA) using dilute concentrations of local anesthetics (LAs) has been a popular method to control labor pain, yet the optimal dose and regimen for PCEA remain ambiguous. So, the present study was undertaken to evaluate the safety and efficacy of three different concentrations of ropivacaine for labor analgesia using PCEA. Materials and Methods: Seventy-five healthy nulliparous women who gave voluntary consent for labor analgesia using PCEA were randomly assigned to three groups to receive three different ropivacaine concentrations (0.0625%, 0.1%, and 0.125%) with adjuvant fentanyl 2 μg/ml, after double-blinding. Analgesic efficacy, neuraxial blockade, vital parameters, neonatal outcomes, maternal satisfaction, and side effects were assessed. Primary outcome was total dose of ropivacaine consumed in milligrams. Results: Number of pain breakthroughs (Visual Analog Score >4) and PCEA demand and rescue boluses were found to be statistically more in group 0.0625% (P < 0.01), followed by group 0.1% and were the least in 0.125%. Still, total drug consumed in milligrams was significantly less in 0.0625% group. Maternal satisfaction was comparable among the three groups (P = 0.33). There was no significant difference in maternal side effects and neonatal APGAR scores among the three groups. Conclusion: When three different concentrations of ropivacaine, that is, 0.0625%, 0.1%, and 0.125%, are used for labor analgesia, the use of 0.125% ropivacaine leads to higher total amount of ropivacaine consumed. Despite the lower efficacy in terms of breakthrough pain episodes observed with a 0.0625% ropivacaine concentration for labor analgesia, maternal satisfaction remained consistent across all three doses of ropivacaine. PCEA demand and rescue boluses for the lowest concentration, that is, 0.0625%; and did not affect maternal satisfaction with the management of labor pain.

Abstract Efforts to enhance the accuracy of protein sequence classification are of utmost importance in driving forward biological analyses and facilitating significant medical advancements. This study presents a cutting-edge model called ProtICNN-BiLSTM, which combines attention-based Improved Convolutional Neural Networks (ICNN) and Bidirectional Long Short-Term Memory (BiLSTM) units seamlessly. Our main goal is to improve the accuracy of protein sequence classification by carefully optimizing performance through Bayesian Optimisation. ProtICNN-BiLSTM combines the power of CNN and BiLSTM architectures to effectively capture local and global protein sequence dependencies. In the proposed model, the ICNN component uses convolutional operations to identify local patterns. Captures long-range associations by analyzing sequence data forward and backwards. In advanced biological studies, Bayesian Optimisation optimizes model hyperparameters for efficiency and robustness. The model was extensively confirmed with PDB-14,189 and other protein data. We found that ProtICNN-BiLSTM outperforms traditional categorization models. Bayesian Optimization’s fine-tuning and seamless integration of local and global sequence information make it effective. The precision of ProtICNN-BiLSTM improves comparative protein sequence categorization. The study improves computational bioinformatics for complex biological analysis. Good results from the ProtICNN-BiLSTM model improve protein sequence categorization. This powerful tool could improve medical and biological research. The breakthrough protein sequence classification model is ProtICNN-BiLSTM. Bayesian optimization, ICNN, and BiLSTM analyze biological data accurately.

Abstract The diagnosis of prostate cancer using histopathology is reliant on the accurate interpretation of prostate tissue sections. Current standards rely on the assessment of Haematoxylin and Eosin (H&E) staining, which can be difficult to interpret and introduce inter-observer variability. Here, we present a digital pathology atlas and online resource of prostate cancer tissue micrographs for both H&E and the reinterpretation of samples using a novel set of three biomarkers as an interactive tool, where clinicians and scientists can explore high resolution histopathology from various case studies. The digital pathology prostate cancer atlas when used in conjunction with the biomarkers, will assist pathologists to accurately grade prostate cancer tissue samples.

Abstract The convergence of artificial intelligence (AI), big data (DB), and Internet of Things (IoT) in Society 5.0, has given rise to Marketing 5.0, revolutionizing personalized customer experiences. In this study, a systematic literature review was conducted to examine the integration of predictive modelling and sentiment analysis within the Marketing 5.0 domain. Unlike previous research, this study addresses both aspects within a single context, emphasizing the need for a sentiment-based predictive approach to the buyers’ journey. This review explores how predictive and sentiment models enhance customer experience, inform business decisions, and optimize marketing processes. This study contributes to the literature by identifying areas of improvement in predictive modelling and emphasizes the role of a sentiment-based approach in Marketing 5.0. The sentiment-based model assists businesses in understanding customer preferences, offering personalized products, and enabling customers to receive relevant advertisements during their purchase journey. The paper’s structure covers the evolution of traditional marketing to digital marketing, AI’s role in digital marketing, predictive modelling in marketing, and the significance of analyzing customer sentiments in their reviews. The Prisma-P methodology, research questions, and suggestions for future work and limitations provide a comprehensive overview of the scope and contributions of this review.

Abstract Cybertwin (CT) is an innovative network structure that digitally simulates humans and items in a virtual environment, significantly influencing Cybertwin instances more than regular VMs. Cybertwin-driven networks, combined with Mobile Edge Computing (MEC), provide practical options for transmitting IoT-enabled data. This research introduces a hybrid methodology integrating deep learning with Cybertwin-driven resource allocation to enhance energy-efficient workload offloading and resource management in MEC networks. Offloading work is essential in MEC networks since several applications require significant resources. The Cybertwin-driven approach considers user mobility, virtualization, processing power, load migrations, and resource demand as crucial elements in the decision-making process for offloading. The model optimizes job allocation between on-premises and distant execution using a task-offloading strategy to reduce the operating burden on the MEC network. The model uses a hybrid partitioning approach and a cost function to optimize resource allocation efficiently. This cost function accounts for energy consumption and service delays associated with job assignment, execution, and fulfilment. The model calculates the cost of several segmentation and offloading procedures and chooses the lowest cost to enhance energy efficiency and performance. The approach employs a deep learning architecture called “CNN-LSTM-TL” to accomplish energy-efficient task offloading, utilizing pre-trained transfer learning models. Batch normalization is used to speed up model training and improve its robustness. The model is trained and assessed using an extensive mobile edge computing public dataset. The experimental findings confirm the efficacy of the proposed methodology, indicating a 20% decrease in energy usage compared to conventional methods while achieving comparable or superior performance levels. Simulation studies emphasize the advantages of incorporating Cybertwin-driven insights into resource allocation and workload-offloading techniques. This research enhances energy-efficient and resource-aware MEC networks by incorporating Cybertwin-driven techniques.

El desarrollo emocional de los estudiantes es un aspecto crucial en su proceso educativo que impacta directamente su rendimiento académico. Este estudio tuvo como objetivo determinar la relación entre el desarrollo emocional y el logro académico en estudiantes universitarios. Se utilizó un método hipotético-deductivo con un diseño no experimental correlacional. Participaron 100 estudiantes, a quienes se les aplicó un cuestionario con una confiabilidad de 0.853 y se registraron sus notas para evaluar el logro académico. Los resultados, basados en la correlación de Spearman de 0.788 con una significancia de 0.000 (menor a 0.05), indican que existe una relación directa entre el desarrollo emocional y el logro académico. Esto sugiere que los esfuerzos para mejorar el desarrollo emocional de los estudiantes podrían ser beneficiosos para su desempeño académico.

Prader–Willi syndrome (PWS) is a rare orphan disease and complex genetic neurodevelopmental disorder, with a birth incidence of approximately 1 in 10,000–30,000. Management of people with PWS requires a multi-disciplinary approach, ideally through a multi-disciplinary team (MDT) clinic with community support. Hypotonia, poor feeding and faltering growth are characteristic features in the neonatal period, followed by hyperphagia and risk of rapid weight gain later in childhood. Children and adolescents (CA) with PWS usually display developmental delay and mild learning disability and can develop endocrinopathies, scoliosis, respiratory difficulties (both central and obstructive sleep apnoea), challenging behaviours, skin picking, and mental health issues, especially into adulthood. This consensus statement is intended to be a reference document for clinicians managing children and adolescents (up to 18 years of age) with PWS. It considers the bio-psycho-social domains of diagnosis, clinical assessment, and management in the paediatric setting as well as during and after transition to adult services. The guidance has been developed from information gathered from peer-reviewed scientific reports and from the expertise of a range of experienced clinicians in the United Kingdom and Ireland involved in the care of patients with PWS.

Introduction: Recurrent seizures of cerebral origin with episodes of sensory, motor, or autonomic expression, with or without loss of consciousness, are typical symptoms of epilepsy, a chronic neurological condition. As a voltage-dependent calcium channel antagonist, magnesium inhibits calcium ion release, which reduces neuronal excitability in hypomagnesemia. It is well recognised that the most frequently prescribed Anti-epileptic Drugs (AEDs), namely carbamazepine, phenytoin, and phenobarbital, have adverse effects on lipid profiles. Aim: To compare the levels of serum magnesium and serum lipid profiles in patients with epileptic seizures and healthy controls. Materials and Methods: The present cross-sectional study included 50 clinically diagnosed patients with epileptic seizures, aged between 18-60 years, and 50 age and sex-matched healthy controls visiting the Department of Neurology, Mahatma Gandhi Medical College (MGMC), Jaipur, Rajasthan, India from October 2019 to March 2020. A 5 mL venous blood sample was collected for biochemical investigations such as serum magnesium, serum Total Cholesterol (TC), serum Triglycerides (TG), serum High Density Lipoprotein cholesterol (HDL-C), serum Low Density Lipoprotein cholesterol (LDL-C), and serum Very Low Density Lipoprotein cholesterol (VLDL-C) and assayed. Student’s t-test was applied, and a p-value of

The aim of direct pulp caping (DPC) is to support the formation of mineralized tissue and encourage pulp healing by placing a dental biomaterial directly over the exposed pulp. The era of vital pulp therapy has been influenced by the introduction of various pulp-capping materials. Emphasis has shifted from the “doomed” organ concept of an exposed pulp to one of hope and recovery; this comprehensive review thus discusses the ability of different direct pulp-capping materials to form a dentin bridge. Furthermore, this review will discuss the quality and quantity of dentinal bridge formation by different pulp-capping agents.

Este estudio empírico es un adelanto de la implementación de plan de reposición de medidores y diseño de método para perfiles de consumo y tablas de caudales de contadores de ¾”, 1” y 2” en Aguas de Cartagena S.A. Persigue explicar lo logrado en cuanto al análisis de subcontaje y sobredimensionamiento en los aparatos de medición de los diámetros indicados, bajo método propio ad hoc, además expone una revisión aproximada de la literatura. Se concluye en el cierre que, analizar la experiencia empresarial es novedosa y pertinente.

Abstract Background Fatty acid uptake can be measured using PET and 14-(R,S)‐[18F]fluoro‐6‐thia‐heptadecanoic acid ([18F]FTHA). However, the relatively rapid rate of [18F]FTHA metabolism significantly affects kinetic modeling of tissue uptake. Thus, there is a need for accurate chromatographic methods to analyze the unmetabolized [18F]FTHA (parent fraction). Here we present a new radiometabolite analysis (RMA) method, with comparison to a previous method for parent fraction analysis, and its use in a test-retest clinical study under fasting and postprandial conditions. We developed a new thin-layer chromatography (TLC) RMA method for analysis of [18F]FTHA parent fraction and its radiometabolites from plasma, by testing stationary phases and eluent combinations. Next, we analyzed [18F]FTHA, its radiometabolites, and plasma radioactivity from subjects participating in a clinical study. A total of 17 obese or overweight participants were dosed with [18F]FTHA twice under fasting, and twice under postprandial conditions and plasma samples were obtained between 14 min (mean of first sample) and 72 min (mean of last sample) post-injection. Aliquots of 70 plasma samples were analyzed using both methods, enabling head-to-head comparisons. We performed test-retest and group comparisons of the parent fraction and plasma radioactivity. Results The new TLC method separated seven [18F]FTHA radiometabolite peaks, while the previous method separated three. The new method revealed at least one radiometabolite that was not previously separable from [18F]FTHA. From the plasma samples, the mean parent fraction value was on average 7.2 percentage points lower with the new method, compared to the previous method. Repeated [18F]FTHA investigations on the same subject revealed reproducible plasma SUV and parent fractions, with different kinetics between the fasted and postprandial conditions. Conclusions The newly developed improved radio-TLC method for [18F]FTHA RMA enables accurate parent fraction correction, which is required to obtain quantitative data for modelling [18F]FTHA PET data. Our test-retest study of fasted and postprandial conditions showed robust reproducibility, and revealed clear differences in the [18F]FTHA metabolic rate under different study settings. Trial registration EudraCT No: 2020-005211-48, 04Feb2021; and Clinical Trials registry NCT05132335, 29Oct2021, URL: https://classic.clinicaltrials.gov/ct2/show/NCT05132335 .

Abstract Background The objective of this study was to evaluate the safety, tolerability, pharmacokinetics, and pharmacodynamics of PF‑06835375, a potent selective afucosyl immunoglobulin G1 antibody targeting C-X-C chemokine receptor type 5 (CXCR5) that potentially depletes B cells, follicular T helper (Tfh) cells, and circulating Tfh-like (cTfh) cells, in patients with systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). Methods This first-in-human, multicenter, double-blind, sponsor-open, placebo-controlled Phase 1 study recruited patients aged 18–70 years with SLE or RA. In Part A, patients received single doses of intravenous PF-06835375 (dose range: 0.03–6 mg) or placebo in six sequential single ascending dose (SAD) cohorts. In Part B, patients received repeat doses of subcutaneous PF-06835375 (dose range: 0.3–10 mg) or placebo on Days 1 and 29 in five multiple ascending dose (MAD) cohorts. Tetanus/Diphtheria (Td) and Meningococcal B (MenB/Trumenba™) vaccines were administered at Day 4 (Td and MenB) and Week 8 (MenB only) to assess PF-06835375 functional effects. Endpoints included treatment-emergent adverse events (TEAEs), pharmacokinetic parameters, pharmacodynamic effects on B and cTfh cells, and biomarker counts, vaccine response, and exploratory differential gene expression analysis. Safety, pharmacokinetic, and pharmacodynamic endpoints are summarized descriptively. The change from baseline of B and Tfh cell-specific genes over time was calculated using a prespecified mixed-effects model, with a false discovery rate

Introduction: Primary Dysmenorrhoea (PD) is a common disorder in both young and adult females which is characterised by cramps that start immediately before or at the beginning of menstruation in the lower abdomen and are spasmodic and painful in nature, without any pelvic pathology. PD has a serious detrimental effect on quality of life and productivity in terms of health. Need of the Study: To the best of author’s knowledge, there is no specific scale meant to extensively assess the overall physical, social, psychological and nutritional status of females with PD and evaluate the quality of life, therefore, a comprehensive tool is required to resolve these issues and capture a comprehensive overview of the typical distress encountered during menstruation. Aim: To develop the items and domains, estimate its content and concurrent validity as well as assess intra-rater and test-retest reliability of the scale, which comprehensively assesses physical, social, psychological and nutritional status of females with PD and determine their quality of life. Materials and Methods: The present study is a cross-sectional study, that will be conducted at General Outpatient Department (OPD), Maharishi Markandeshwar Institute of Physiotherapy and Rehabilitation, Maharishi Markandeshwar Deemed to be University, Mullana, Ambala, Haryana, India from April 2023 to March 2024. It consists of three phases. First phase comprises of the scale development procedure which includes generation of domains and items. Second phase is to validate the scale. This phase includes content validation through Delphi method as well as evaluation of criterion (concurrent) validity. Third phase consists of assessing intra-rater and test-retest reliability of the scale.

This article addresses the two analytical methods, i.e., the new iterative transform method (NITM) and the homotopy perturbation transform method (HPTM), along with an Aboodh transform (AT), to approximate the nonlinear system of two-dimensional (2D) time-fractional Navier-Stokes (TFNS) equations. We take the time-fractional derivative in the form of Atangana-Baleanu (AB). The article's suggested examples examine the accuracy and efficacy of the proposed methods, while the graphs demonstrate their potential and effectiveness. The article also provides demonstrations of uniqueness and convergence. The aforementioned techniques are straightforward and support a high rate of convergence, which helps in understanding the dynamics of fractional nonlinear systems.

Background: Postpartum hemorrhage (PPH) is defined by the World Health Organization as blood loss of ≥500 mL within 24 h of delivery. Globally, hemorrhage accounts for 27.1% of maternal deaths, making it the leading direct cause of maternal death. PPH has been identified in more than two-thirds of reported hemorrhage-related deaths, causing 38% of maternal deaths in India. Tranexamic acid, an antifibrinolytic, has been used to control bleeding after PPH is identified. Materials and Methods: Antenatal women admitted for elective cesarean section were randomized into two arms: the case group (received one gram of tranexamic acid 20 min prior to skin incision) and the control group (received a placebo), each group consisting of 36 participants. Clinical Trials Registry – India (CTRI) registration number – CTRI/2021/02/031579. Results: The mean (±standard deviation [SD]) intraoperative blood loss in the case group was 241.25 (±67.83) mL, and in the control group, it was 344.92 (±146.67) mL (P = 0.001), while postoperative blood loss did not differ significantly between the groups (P = 0.1470). In terms of the difference in hemoglobin, there was a significant difference between the two groups (P = 0.001). No significant maternal or neonatal side effects were found. Conclusion: Preoperative tranexamic acid, when given in elective cesarean section, significantly reduces intraoperative blood loss.

C4 crops have more efficient photosynthetic pathways that enable their higher photosynthetic capacities as well as nitrogen and water use efficiencies than C3 crops. Previous research has demonstrated that the genomes of C3 species include and express every gene needed for the C4 photosynthesis pathway. However, very little is known about the dynamics and evolutionary history of such genetic evolution in C4 plants. In this study, the genes encoding five key photosynthetic pathway enzymes in the genomes of C3 (rice), C4 (maize, sorghum, and foxtail millet), and CAM (pineapple) crops were identified and compared systematically. The numbers of genes in these photosynthetic enzymes were highest in the C4 crops like sorghum and foxtail millet, while only eight genes were identified in the CAM plant. However, 16 genes were identified in the C3 crop rice. Furthermore, we performed physical, chemical, gene structure and, cis-element analyses to obtain complete insights into these key genes. Tissue-specific expressions showed that most of the photosynthetic genes are expressed in the leaf tissues. Comparisons of the expression characteristics confirmed that the expression patterns of non-photosynthetic gene copies were relatively conserved among the species, while the C4 gene copies in the C4 species acquired new tissue expression patterns during evolution. Additionally, multiple sequence features that could affect C4 gene expressions and subcellular localization were found in the coding and promoter regions. Our research also highlights the variations in how different genes have evolved within the C4 photosynthetic pathway, and we confirmed that specific high expressions in the leaves and right distribution within the cells were crucial for the development of the C4 photosynthetic abilities. The findings of this study are expected to aid in understanding the evolutionary process of the C4 photosynthetic pathway in grasses as well as offer insights for modifying the C4 photosynthetic pathways in wheat, rice, and other significant C3 cereal crops.

The role of interleukin-18 (IL-18) and inflammasomes in chronic inflammatory airway diseases, such as asthma and chronic obstructive pulmonary disease (COPD), has garnered significant attention in recent years. This review aims to provide an overview of the current understanding of IL-18 biology, the associated signaling pathways, and the involvement of inflammasome complexes in airway diseases. We explore the multifaceted role of IL-18 in asthma pathophysiology, including its interactions with other cytokines and contributions to both T2 and non-T2 inflammation. Importantly, emerging evidence highlights IL-18 as a critical player in severe asthma, contributing to chronic airway inflammation, airway hyperresponsiveness (AHR), and mucus impaction. Furthermore, we discuss the emerging evidence of IL-18’s involvement in autoimmunity and highlight potential therapeutic targets within the IL-18 and inflammasome pathways in severe asthma patients with evidence of infections and airway autoimmune responses. By synthesizing recent advancements and ongoing research, this review underscores the importance of IL-18 as a potential novel therapeutic target in the treatment of severe asthma and other related conditions.

Introduction: Osteoporosis and low bone mass affect millions of people worldwide, leading to severe consequences ranging from disability to mortality. This study aimed to determine the prevalence and risk factors of osteoporosis among postmenopausal women in a district of Nepal. Methods: An analytical cross-sectional study involving postmenopausal women from Nuwakot, Dhading, and Rasuwa districts in Nepal was conducted at Trishuli Hospital, Nuwakot. Ethical approval was taken from the Institutional Review Board of Nepal Health Research Council (Reference number: 1768). The prevalence of osteoporosis was determined, and the associated factors were analyzed using multivariate logistic regression. Dual-Energy X-ray Absorptiometry (GE-Lunar Prodigy) was used to measure Bone Mineral Density (g/cm2) at the proximal femur and lumbar spine. Various factors related to osteoporosis were also analyzed. Results: There were 384 postmenopausal women and the prevalence of osteoporosis was 82 (21.35%; 95% CI: 17.25%-25.45%)e. The mean age of female with osteoporosis was 67.52±8.84 years and that without osteoporosis was 55.70±7.69 years (p

Over the past decade the medical profession has witnessed patient and family aftercare becoming increasingly rooted within a patient-centric approach. Furthermore, there has been strong consensus within the Helicopter Emergency Medical Service (HEMS) sector for a Patient and Family Aftercare Service (PFAS) at Air Ambulance Charity Kent Surrey Sussex to further support an individual's experience from their core primary retrieval, through to the rehabilitation experience. This patient narrative highlights key interconnections between HEMS and an aftercare team that are important to the patient experience. Firstly, the clinical team provide prompt and expert medical intervention, which is crucial in managing critical injury and illness at the scene of an injury. Secondly, the narrative explores the emotional support provided by the healthcare professionals. Thirdly, the role of the support network, comprising of family, friends, and the wider community is discussed as integral for both physical and emotional rehabilitation post-incident. Furthermore, the narrative highlights that ongoing engagement from PFAS is important to continued rehabilitation and enhanced quality of life.

COVID-19 lockdowns had a negative impact on training practices and other fitness- and coaching-related aspects across many sports disciplines. This study analyzed the relationship between different training routines and performance, as well as the prevalence of musculoskeletal injuries (MI) in young gymnasts following the onset of the COVID-19 pandemic. The sample consisted of 67 artistic gymnasts (AG) from Campo Grande, MS, Brazil, aged 8 to 17 years. Participants were divided into two groups: G1, which included gymnasts in remote training, and G2, comprising gymnasts in face-to-face training. Subjects were assessed for anthropometric variables, flexibility, muscle power, and sensorimotor stability, and completed a questionnaire to record MI cases. A total of 34 MI cases were reported by 23 participants (34.3%), with the majority affecting the lower limbs. Eight individuals reported at least two retrospective MI cases. Additionally, G2 demonstrated higher muscle power, greater flexibility, and improved sensorimotor stability. Face-to-face training conditions were associated with at least a tenfold increase in the likelihood of MI. Weekly training time (exposure) was linked to a ~9% increase in lower limb MI, while factors such as age, dynamic balance, and training were directly associated with MI occurring during floor exercises.In conclusion, although regular face-to-face training was linked to enhanced motor performance, it was also associated with a higher prevalence of MI, particularly in the lower limbs. Floor exercises were the primary circumstances under which injuries occurred.

Diffuse large B cell lymphomas (DLBCL) are highly aggressive tumors. Their genetic complexity and heterogeneity have hampered the development of novel approaches for precision medicine. Our study aimed to develop a personalized therapy for DLBCL by utilizing the CRISPR/Cas system to induce knockouts (KO) of driver genes, thereby causing cancer cell death while minimizing side effects. We focused on OCI-LY3 cells, modeling DLBCL, and compared them with BJAB cells as controls. Analysis of whole exome sequencing revealed significant mutations in genes like PAX5, CD79B, and MYC in OCI-LY3 cells. CRISPR/Cas9-mediated KO of these genes resulted in reduced cancer cell viability. Subsequent single and dual gRNA targeting of PAX5 mutations inhibited proliferation specifically in OCI-LY3 cells. Moreover, dual gRNA targeting of PAX5 and MYC induced chromosomal rearrangements, reducing cell proliferation substantially. However, targeting single intronic mutations did not affect cell viability, highlighting the importance of disrupting protein function. Targeting multiple mutations simultaneously addresses intra-tumoral heterogeneity, and the transient delivery of CRISPR/Cas9 allows for permanent gene disruption. While challenges such as incomplete editing efficiency and delivery limitations exist, further optimization may enhance therapeutic efficacy. Overall, our findings demonstrate the efficacy of CRISPR/Cas9 in targeting oncogenic mutations, opening avenues for precision medicine in DLBCL treatment.

In the current era, environmental factors are well established as major causative agents for all cancers especially lung and breast cancer. We sought to review the current available literature on the topic pertaining to gynaecologic cancers. Although a few factors are well established in literature, others need more research to conclude.

In humans and Drosophila melanogaster, the functional convergence of the endosomal sorting complex required for transport (ESCRT) machinery that is in charge of selecting ubiquitinated proteins for sorting into multivesicular bodies, and the retromer, that is the complex responsible for protein recycling to the plasma membrane and Golgi apparatus. ESCRT and retromer complexes are codependent for protein sorting recycling, degradation, and secretion. In this article, we studied the EhVps35 C isoform (referred to as EhVps35), that is the central member of the Entamoeba histolytica retromer, and its relation with the ESCRT machinery during sorting and protein recycling events and their involvement virulence. Our findings revealed that EhVps35 interacts with at least 300 proteins that participate in multiple cellular processes. Laser confocal and transmission electronic microscopy images, as well as secretion assays, revealed that EhVps35 is secreted in vesicles together with EhVps23 and EhADH (both ESCRT machinery proteins). In addition, immunoprecipitation, immunofluorescence, and molecular docking assays revealed the relationship among EhVps35 and other ESCRT machinery proteins. Red blood cell stimulus increased EhVps35 secretion, and the knockdown of the Ehvps35 gene in trophozoites reduced their capacity to migrate and invade tissues. This also impacts the cellular localization of ubiquitin, EhVps23 (ESCRT-I), and EhVps32 (ESCRT-III) proteins, strongly suggesting their functional relationship. Our results, taken together, give evidence that EhVps35 is a key factor in E. histolytica virulence mechanisms and that it, together with the ESCRT machinery components and other regulatory proteins, is involved in vesicle trafficking, secretion, migration, and cell proliferation.

La comprensión de las causas, desarrollo y tratamiento de la enfermedad de Huntington representan un reto para el personal médico, porque requiere una adecuada interpretación del plano genético, histológico y fisiopatológico del sistema nervioso. Entender a esta enfermedad neurodegenerativa no solo como un proceso resultado de una alteración genética, sino como un complejo modificado en red, de características morfológicas y fisiológicas de diferentes poblaciones celulares, permitirían generar una interpretación y abordaje puntual de la patología. El siguiente articulo describe las características celulares y metabólicas más relevantes de la enfermedad de Huntington buscando brindar al lector un reconociendo más integral de la enfermedad.

Efficient energy management is crucial given 2024's 4.1% worldwide electricity demand increase. This urgency emphasizes the necessity for various, sustainable energy sources in distribution grids. Short-term load prediction approaches using probabilistic power generation and energy storage are crucial for energy usage prediction. Urban energy planners use simulation, probability optimization and modelling to create sustainable energy systems. This study offers a novel hybrid model for smart grids: short-term energy load prediction using transfer learning (TL) and optimized lightGBM (OLGBM). Our two-phase solution tackles Short-term Load Forecasting complexities. First, aberrant supplements and quick deviation selection eliminate missing values and identify key features during data pre-processing. Second, TL-OLGBM learns dynamic time scales and complex data patterns with Bayesian optimization of hyperparameters to improve forecasting accuracy. Additionally, our architecture easily combines the newest Smart and Green Technology, enabling energy system innovation. Comparative performance research shows that our technique outperforms similar models in mean absolute percentage error, accuracy and root mean square error. This hybrid model is a reliable short-term energy load forecast solution that fits the dynamic terrain of smart and green technology integration in modern energy systems.

Natural rubber latex (NRL), obtained from Hevea brasiliensis, comprises particles of long-chain poly(cis-1,4-isoprene) molecules. It is a naturally occurring, biocompatible polymer that acts as a stable matrix for precise drug release. Amikacin sulfate (AS) is a broad-spectrum semi-synthetic aminoglycoside antibiotic frequently used to treat Gram-negative bacterial infections. This study focuses on developing amikacin sulfate-loaded NRL (AS-NRL) films, characterizing their physicochemical properties, evaluating their antibacterial and antibiofilm activities, and assessing their cytocompatibility. The AS-NRL films were prepared using a casting method. Their physicochemical properties were characterized by fourier transform infrared spectroscopy (FTIR), mechanical testing, scanning electron microscopy (SEM), and static contact angle assessments. The antibacterial and antibiofilm efficacy of the films was evaluated against strong biofilm-forming, multi-drug resistant (MDR) strains of Klebsiella spp. and Pseudomonas spp., isolated from indwelling urinary catheters (IUCs). This investigation confirmed that amikacin sulfate was effectively incorporated into the natural rubber latex films. Surface topography analysis by SEM also confirmed the presence of amikacin sulfate on the film surface. All films possessed sufficient elasticity for catheterization. The antibacterial and antibiofilm assays confirmed the ability of the AS-NRL films to control bacterial growth and minimize biofilm formation, supported by live/dead staining assays and SEM imaging. NRLA4 films retained antibacterial activity after leaching in artificial urine for 21 days against all tested bacterial strains. The AS-NRL films showed cytocompatibility in vitro. This work demonstrates that AS-NRL films are promising biomaterials for developing urinary catheters, potentially reducing CAUTI and the undesirable side effects of high-dose antibiotics.

Mangrove ecosystems and associated microorganisms are always a source of curiosity for researchers. Pigment producing bacteria were isolated from the mangrove soil in Kadamakkudi, Cochin, Kerala. The bacteria were biochemically identified and by 16 S rRNA gene sequence. The pigments extracted had been tested for antibiofilm activity against food pathogens Pseudomonas aeruginosa (NCIM 2863), Klebsiella pneumoniae (NCIM 5215), and Escherichia coli (NCIM 2343). Antibiofilm activity was further confirmed by fluorescent and scanning electron microscopy. Six yellow-orange pigmented bacteria (KDR2, KDR3, KDR7, KDR8, KDR14 and KDS1) were isolated. KDR2 was identified as Cellulosimicrobium funkei, KDR7 and KDS1 as Cytobacillus depressus, KDR8 as Bacillus aquimaris, and KDR3 and KDR14 as Halobacillus sp. All of these organisms are known to be extremophiles. The UV-Visible absorption spectrum of all the pigments ranged from 400 nm to 550 nm with different absorbance maxima. All the pigments showed antibiofilm activity against the food pathogens tested.

ABSTRACT: Purpose: The impact of the COVID-19 pandemic on antimicrobial resistance (AMR) is largely studied in healthcare settings. There is a need to understand the fluctuations in AMR during pandemic at the community level. With urinary tract infection (UTI) being one of the most common infections in the community, the AMR profile of community-acquired UTI (CA-UTI) is considered representative AMR at the community level. Methods: The study was taken in a cohort of patients with a clinical diagnosis of CA-UTI. The four study sites represented different community health centres in India. Escherichia coli isolates were analysed phenotypically and genotypically for AMR pre-COVID (October 2019–February 2020) and in the first (March 2020–February 2021) and second waves of COVID-19 (March 2021–December 2021). Results: E. coli was the predominant uropathogen (229, 82%). Increased susceptibility to nitrofurantoin was observed during the pandemic. Reduced susceptibility to first-line oral antibiotics and carbapenems was seen during the second wave, and an increased minimum inhibitory concentration (MIC50) to beta-lactams and fluoroquinolones was seen during the pandemic. Genomic analysis of E. coli isolates showed some AMR genes (aacC1, aacC4, SHV, QepA) only during the second wave. Conclusion: One good outcome of the pandemic was increased susceptibility to nitrofurantoin, while drawback was a significant decrease in susceptibility to oral antibiotics during the second wave and increased MIC50 of some antibiotics. Decreased susceptibility to last-resort carbapenems and the occurrence of various AMR genes during the second wave of the pandemic are of great concern.

Abstract The snowline exhibits significant seasonal shifts upward and downward, reflecting the ever-changing dynamics of the seasons and being influenced by climate variations, which can vary annually. These fluctuations profoundly impact the cryosphere, biota, and ecosystem processes in high mountain regions. Despite the critical role of snowline variations, comprehensive information on how actual climate variability affects snow cover trends in the central mountain range of the western Himalayas is scarce. In the 'Pindari' region of the Uttarakhand district, India, which is part of the Himalayas, these challenges are exacerbated by the unchecked growth of anthropogenic activities and the broader impacts of climate change. This study analyses snowline variations in the Pindari glacial region from 1972 to 2018. The findings revealed that the snowline elevation significantly shifted upward between 1972 and 2018. Notably, this research revealed a decrease in snow-covered areas of approximately 5.01 km2 over the course of 46 years. This decrease is attributed to a direct response to the increasing number of high-temperature events that occurred during this extended period. This study emphasizes the urgent need for conservation measures in the study region and similar high mountains to combat global warming and safeguard the snowline, which serves as a visible proxy indicator to safeguard high-altitude Himalayan glaciers.

Abstract Coconut snowball (Naru/ Ladoo) is a conventional Indian sweet made out of coconut endosperm and sugar/ jaggery. However, coconut snowball has a limited shelf-life (3–4 weeks) and lose their textural properties with time in refrigerated conditions, due to the presence of high amounts of saturated fatty acids. This present study is aimed to utilize tender endosperm (Talsas/ Nungu) of Palmyra palm (Borassus flabellifer) as an ingredient for coconut snowball to improve its nutritional and sensory attributes. In this study, the optimum cooking time, amount of coconut, and Talsas endosperm obtained through Box-Behnken model were 22.5 min, 52.25% and 22.5%, respectively. Fortification increased the levels of total polyphenol content, total flavonoid content, ferric reducing antioxidant activity, and 2, 2′-Azinobis (3-ethylbenzothiazoline-6 sulfonic acid) radical scavenging property by 45.39%, 3.25-fold, 6.68-fold and 2.34-fold, respectively. HPLC analysis of Naru samples revealed the presence of six polyphenols (kaemferol, myricetin, gallic acid, protocatechuic acid, quercetin, rutin). Additionally, in-vitro lipid digestibility, lipid oxidation studies microbiological analysis, and sensory studies were conducted to determine the role of Talsas endosperm substitution in coconut snowball. Based on these experiments, it can be concluded that fortification of Coconut Naru with Talsas endosperm significantly enhanced its nutritional profile, antioxidant capacity, sensory characteristics, and shelf life by only up to 75 days.

Abstract The difficulty of collecting maize leaf lesion characteristics in an environment that undergoes frequent changes, suffers varying illumination from lighting sources, and is influenced by a variety of other factors makes detecting diseases in maize leaves difficult. It is critical to monitor and identify plant leaf diseases during the initial growing period to take suitable preventative measures. In this work, we propose an automated maize leaf disease recognition system constructed using the PRF-SVM model. The PRFSVM model was constructed by combining three powerful components: PSPNet, ResNet50, and Fuzzy Support Vector Machine (Fuzzy SVM). The combination of PSPNet and ResNet50 not only assures that the model can capture delicate visual features but also allows for end-to-end training for smooth integration. Fuzzy SVM is included as a final classification layer to accommodate the inherent fuzziness and uncertainty in real-world image data. Five different maize crop diseases (common rust, southern rust, grey leaf spot, maydis leaf blight, and turcicum leaf blight along with healthy leaves) are selected from the Plant Village dataset for the algorithm’s evaluation. The average accuracy achieved using the proposed method is approximately 96.67%. The PRFSVM model achieves an average accuracy rating of 96.67% and a mAP value of 0.81, demonstrating the efficacy of our approach for detecting and classifying various forms of maize leaf diseases.

Abstract Background Antimicrobial resistance (AMR) is a pressing global health concern driven by inappropriate antibiotic use, which is in turn influenced by various social, systemic, and individual factors. This study, nested within FIND’s AMR Diagnostic Use Accelerator clinical trial in Nepal, aimed to (i) explore the perspectives of patients, caregivers, and healthcare workers (HCWs) on antibiotic prescription adherence and (ii) assess the impact of a training and communication (T&C) intervention on adherence to antibiotic prescriptions. Methods Using qualitative, semi-structured interviews, pre-intervention and Day 7 follow-up components, and the Behaviour Change Wheel process, we investigated the facilitators of and barriers to the use and misuse of antibiotic prescriptions. Results Results of the study revealed that adherence to antibiotic prescriptions is influenced by a complex interplay of factors, including knowledge and understanding, forgetfulness, effective communication, expectations, beliefs and habits, attitudes and behaviours, convenience of purchasing, trust in medical effectiveness, and issues of child preferences. The T&C package was also shown to play a role in addressing specific barriers to treatment adherence. Conclusions Overall, the results of this study provide a nuanced understanding of the challenges associated with antibiotic use and suggest that tailored interventions, informed by behaviour frameworks, can enhance prescription adherence, may be applicable in diverse settings and can contribute to the global effort to mitigate the rising threat of AMR.