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Abstract This study presents a novel numerical approach for approximating the solution of third-order pseudo-parabolic partial differential equations (PDEs), which exhibit both parabolic and hyperbolic characteristics. The proposed method employs a cubic trigonometric tension B-spline collocation technique for spatial discretization, offering greater flexibility and accuracy compared to traditional spline methods. For time discretization, the finite difference method (FDM) is used, ensuring computational efficiency. Unlike many existing methods, our approach is tailored to handle the complexity of third-order equations while maintaining stability and accuracy over large-scale problems. The method’s unconditional stability is confirmed through a detailed von Neumann stability analysis, making it particularly robust for long-term simulations. Two illustrative examples are presented to demonstrate the method’s superior accuracy and flexibility in handling complex boundary conditions, as well as its ability to manage large-scale problems without requiring restrictive time steps. Compared to the existing methods, the combination of trigonometric tension B-splines with FDM proves to be a powerful and reliable tool for solving higher-order pseudo-parabolic equations.

Abstract Background The accumulation of β-amyloid (Aβ) peptides into insoluble plaques is an early pathological feature of Alzheimer’s disease (AD). BACE1 is the sole β-secretase for Aβ generation, making it an attractive therapeutic target for AD therapy. While BACE1 inhibitors have been shown to reduce Aβ levels in people with AD, clinical trials targeting BACE1 have failed due to unwanted synaptic deficits. Understanding the physiological role of BACE1 in individual cell types is essential for developing effective BACE inhibitors for the treatment of AD. Recent single-cell RNA transcriptomic assays revealed that oligodendrocytes are enriched with genes required for generating Aβ. However, the contribution of oligodendrocytes to amyloid plaque burden in AD and the side effects of oligodendrocyte-specific Bace1 deletion remain to be explored. Methods We generated an oligodendrocyte-specific Bace1 knockout model (Bace1 fl/fl ;Olig2-Cre) to monitor potential disruptions in myelination using standard electron microscopy. Long-term potentiation (LTP) was monitored to measure synaptic integrity. We crossed the Bace1 fl/fl ;Olig2-Cre model with heterozygous App NL−G−F/wt knock-in AD mice to generate AD mice lacking oligodendrocyte Bace1 (Bace1 fl/fl ;Olig2-Cre; App NL−G−F/wt ) and examined amyloid plaque number and insoluble Aβ levels and gliosis in these animals. Single nuclei RNA sequencing experiments were conducted to examine molecular changes in response to Bace1 deficiency in oligodendrocytes in the wild type or APP knock-in background. Results Bace1 deletion in oligodendrocytes caused no change in myelin thickness in the corpus callosum but a marginal reduction in myelin sheath thickness of the optic nerve. Synaptic strength measured by LTP was not different between Bace1 fl/fl ;Olig2-Cre and age-matched Bace1 fl/fl control animals, suggesting no major effect on synaptic plasticity. Intriguingly, deletion of Bace1 in 12-month-old heterozygous AD knock-in mice (Bace1 fl/fl ;Olig2-Cre; App NL−G−F/wt mice) caused a significant reduction of amyloid plaques by ~ 33% in the hippocampus and ~ 29% in the cortex compared to age-matched AD mice (Bace1 fl/fl ;App NL−G−F/wt ). Insoluble Aβ1–40 and Aβ1–42 levels were reduced comparably while more astrocytes and microglia were observed in surrounding amyloid plaques. Unbiased single-nuclei RNA sequencing results revealed that deletion of oligodendrocyte Bace1 in APP NL−G−F/wt knock-in mice increased expression of genes associated with Aβ generation and clearance such as ADAM10, Ano4, ApoE, Il33, and Sort1. Conclusion Our results provide compelling evidence that the amyloidogenic pathway in oligodendrocytes contributes to Aβ plaque formation in the AD brain. While specifically targeting BACE1 inhibition in oligodendrocytes for reducing Aβ pathology in AD is likely challenging, this is a potentially explorable strategy in future studies.

Abstract Background The extent of natural salt-laden groundwaters used for irrigation is increasing worldwide, which is a fast-emerging threat to agroecosystems and global food security. The salt buildup in the soil is linked to deteriorated soil chemical, physical, and biological health and decreased land productivity. Alkali waters with high residual sodium carbonate (RSC) is one of the severe poor-quality waters that deteriorate soil. We evaluated soil microbial dynamics and soil health at critical growth stages of rice crop receiving two-decade-long irrigation with three levels of alkali water and two reclamation strategies. These included good-quality water (GQW), alkali water (ALKW) with an RSC concentration of 5 me L⁻1 (ALKW1), ALKW with an RSC concentration of 10 me L⁻1 (ALKW2), ALKW2 treated to neutralize RSC to 5 me L⁻1 using gypsum (CaSO4·2H2O; ALKW2 + GYP), and ALKW2 treated with sulfuric acid (H2SO4; ALKW2 + SA). Eleven microbial parameters were used to develop a soil microbial activity index (SMAI), and eight soil health indicators were correlated with changes in SMAI and crop productivity. Results The SMAI peaked under good-quality water (GQW) conditions (0.84–0.89), while the lowest values were recorded under ALKW2 (0.06–0.18). Neutralized alkali waters, ALKW2 + SA and ALKW2 + GYP, significantly improved SMAI with corresponding values of 0.25–0.35 and 0.13–0.32, respectively. SMAI across all stages correlated positively (R 2 = 0.91–0.98) with rice yield. Microbial activity varied with the crop growth stage, peaking at tillering. Gypsum application alone, aimed at neutralizing alkalinity from an RSC of 10 to 5 me L⁻1, proved insufficient in bringing the SMAI up to the ALKW1 (RSC level of 5 me L⁻1). Conclusions The application of dilute sulfuric acid demonstrated better results in restoring the soil microbial activity index than gypsum amendment; however, sulfuric acid treatment depends on native calcium carbonate (CaCO3) dissolution for its effectiveness. It may not suffice for soil stability improvement in the long term, especially when native CaCO3 is low. Therefore, integrating gypsum and dilute sulfuric acid for RSC neutralization is worthwhile; however, further assessment is needed to confirm their combined impact on soil biochemical and physical properties.

Abstract This study introduces an approach to validate sampling points for air monitoring in environments where operations generate significant airborne particulate radioactivity. A case study of repair works in a nuclear spent fuel reprocessing facility is used to synthesis and demonstrate the methodology. We use the probability distribution of air activity measurements and the correlation between two sampling points near high particulate generating operations and the ventilation ducts. The methodology developed in this paper can be applied in task-related air monitoring scenarios for validation of sampling points. This will augment internal exposure control measures during works involving physical entries in areas with high potential of escalation of air activity (e.g., during major repairs, during decommissioning of nuclear facilities etc.) and to evaluate the sufficiency of respiratory protection.

Abstract This study presents nanostructured composite Bi2MoO6/MXene heterostructure by using hydrothermal method for photodegradation of the congo-red dye and also for energy storage devices. X-ray diffractometer (XRD), High Resolution Transmission Electron Microscopy (HRTEM), Field emission scanning electron microscope (FESEM) and X-ray photoelectron spectroscopy (XPS), Brunauer-Emmett-Teller (BET) were performed to examine the structural properties along with surface area and porosity of the material. Due to addition of MXene the larger surface area and improved pore size help to quickly break down additional organic pollutants by adsorbing them. The band gap of Bi2MoO6/MXene nanostructured composite reduced to 2.4 eV suggesting transfer of electrons from VB to CB. Bi2MoO6/MXene exhibits a high (92.3%) photocatalytic degradation rate for a duration of 16 min which was verified using UV-visible spectroscopy, also scavenger test was conducted to ascertain the reactive agent along with the degradation pathway was confirmed by LCMS. Elemental content was also established by using inductively coupled plasma mass spectrometry (ICP-MS). For estimating energy storage capacity cyclic voltammetry (CV) was performed. It was observed Bi2MoO6/MXene nanostructured composite electrodes had specific capacitance of 642.91Fg− 1, power density of 1.24 kWkg− 1, and energy density of 22.32 Whkg− 1 at a current density of 5Ag− 1 also it exhibited 64.42% capacity retention having current density 20 Ag− 1 throughout 10,000 Galvanostatic charge discharge (GCD) cycles. High electrical conductivity of Bi2MoO6/MXene electrode was again examined by Electrochemical impedance spectroscopy (EIS). These findings demonstrate the potential of Bi2MoO6/MXene nanostructured composites in both photodegradation and energy storage applications.

A 58-year-old male with good past health presented with headache and visual disturbance for 1 month. Computed tomography (CT) and magnetic resonance imaging (MRI) were performed, showing a large aggressive midline mass with epicenter at the skull base and sellar-suprasellar region. There was marked heterogenous enhancement and intratumoral calcifications. It demonstrated clivus erosion, sphenoid sinus invasion, cavernous sinus invasion and optic chiasm compression. The imaging features were considered to be consistent with clival chordoma and the patent underwent emergent endoscopic transsphenoidal surgical excision. The difficult operation found an unexpected highly vascularized tumor and histopathology of the excision showed clear cell renal cell carcinoma metastasis. Subsequent work up of the patient with positron emission tomography—computed tomography (PET-CT) confirmed suspicion of the primary tumor, arising from left kidney. This case demonstrates an underestimated differential diagnosis of a large aggressive skull base mass as the first initial clinical presentation of metastatic disease.

Devices that are employed in applications related to the Internet of Things (IoT) are constrained by limited energy resources. Consequently, ensuring a continuous supply of energy while also maintaining uninterrupted connectivity within IoT units (IoTUs) is of great importance. In this particular context, we present a scheme that facilitates both, the transfer of wireless power and the transmission of information for IoTUs along with the capability of harvesting solar energy. This scheme is further supported by the utilization of unmanned aerial vehicles (UAV) and the deployment of reconfigurable intelligent surfaces (RIS) for communication purposes. To be more precise, initially, IoTUs obtain energy from the UAV through the process of wireless power transmission (WPT). Subsequently, in the second stage, the UAV retrieves data from the IoTUs using transmitting information. In order to simplify the complexity of the communication issue, we assume that a solar-powered UAV remains stationary at a predetermined altitude. Our objective is to maximize the energy efficiency (EE) of the entire network by coordinating the scheduling of IoTU energy harvesting (EH) and UAV trajectory optimization. We suggest a multi-agent federated reinforcement learning (MFRL) algorithm that maximizes EE through parameter optimization in order to achieve this goal. By utilizing the collective experiences of several agents and reducing energy usage, this algorithm also improves the overall performance of the system. The proposed technique achieves 96.3% and 97.5% accuracy in communication rounds and RIS elements, with a 9−33% increase in EE compared to the best-performing benchmark scheme. The suggested approach outperforms the benchmark algorithms in terms of EE, trajectory optimization, and learning accuracy, according to simulation findings.

Topical sunscreens decrease the quantity of ultraviolet (UV) light from the sun reaching the skin by either blocking or scattering it and help protect the skin from dyspigmentation, photoaging, DNA damage, and photocarcinogenesis, especially in photosensitive individuals. The significant role played by visible light and infrared light in skin pigmentation and photoaging has been recognized in recent years. The majority of broad-spectrum sunscreens protect against UV-B (290–320nm) and UV-A (320–400nm) radiation. Allergic reactions to sunscreens were relatively uncommon compared to their widespread use in the last more than four decades. With growing awareness of problems associated with excessive sunlight exposure, their use has increased exponentially, especially that of cosmetics and other personal grooming products containing UV filters. In recent years, sunscreen agents have been commonly identified as causing allergic contact dermatitis and photodermatitis. Thus, allergic contact dermatitis, photo-irritation, photo-allergenicity, and photo-toxicity (acute/subacute effects) are of immediate concern in the assessment of topical sunscreens for their optimal use. Sunscreen chemicals such as p-aminobenzoic acid (PABA) and PABA esters, the cinnamates, benzophenones, oxybenzone, and dibenzoylmethane that absorb UV radiation are common contact sensitizers capable of producing both allergic contact dermatitis and photodermatitis. The excipients in sunscreen formulations by themselves may also cause allergic reactions. Herein, we review potential allergens, clinical evaluation, and management aspects of topical sunscreen contact sensitivity for their optimal use in clinical practice.

Objective: To identify the clinical, laboratory, and radiological markers that could predict a positive GeneXpert result in patients suspected of tuberculous meningitis. Methods: In this prospective, observational study, patients with tuberculous meningitis were systematically evaluated. Various clinical, laboratory [including cerebrospinal fluid (CSF) microscopy, culture, and GeneXpert], and neuroimaging factors were examined. All participants were administered anti-tuberculous treatment and corticosteroids. A six-month follow-up was done to evaluate the outcome. Results: Of the 116 patients studied, 54 (46.6%) tested positive for GeneXpert, while 62 (53.4%) were negative. Third cranial nerve involvement (OR 3.71, 95% CI 1.052-13.09, P=0.04) and the presence of basal exudates on neuroimaging (OR 5.22, 95% CI 2.03-13.42, P=0.001) emerged as independent predictive factors for a positive GeneXpert result. A positive CSF GeneXpert result (P=0.002) and drug resistance (P=0.004) were significantly linked to adverse outcomes. Additionally, a high score on the Medical Research Council stage III (OR 5.64, 95% CI 1.18-26.87, P=0.03) and elevated CSF cell counts (OR 1.002, 95% CI 1.00-1.001, P=0.03) were identified as independent predictors of poor prognosis. Conclusions: Third cranial nerve involvement and the presence of basal exudates were significant indicators of a positive GeneXpert result. MRC stage III disability and elevated CSF cell counts predicted poor outcomes.

Background: Drug-resistant tuberculosis (DR-TB) significantly increases the risk of depression, yet research on mental health in this population remains limited. Aim: This meta-analysis aimed to evaluate the prevalence of depression among multidrug-resistant TB (MDR-TB) patients, emphasizing the necessity for integrated mental health care. Methods: A systematic search across PubMed, Cochrane, EBSCOhost, and Google Scholar identified 536 articles, which were screened for eligibility after removing duplicates. Prevalence data were analyzed using R programming, with back-transformation applied to enhance accuracy. The methodological quality of the included studies was assessed with the JBI Critical Appraisal Checklist, and the study protocol is registered in PROSPERO (CRD42023449156). Results: Ultimately, twelve studies involving 3,258 participants were included in the analysis. The pooled prevalence of depression among MDR-TB patients was found to be 54% (95% CI: 42%-65%). Although substantial heterogeneity was noted (I² = 72%; P < 0.01), excluding one study (Walker et al.) due to high Cook’s distance revised the prevalence to 55% (95% CI: 43%-68%), with reduced heterogeneity (I² = 68%; P < 0.01). Subgroup analyses indicated minimal variability among studies using the Hamilton Depression Rating Scale (52%, 95% CI: 40%-64%) and substantial variability among those employing the Patient Health Questionnaire (54%, 95% CI: 30%-79%). Funnel plot analysis and Egger’s test revealed no significant publication bias (P = 0.2105). Conclusion: This study highlights a high prevalence of depression among MDR-TB patients, underscoring the urgent need for integrated mental health care strategies tailored for this vulnerable population. Further research is essential to refine these strategies effectively.

Abstract Autologous transplantation remains the standard of care for eligible multiple myeloma (MM) patients, yet optimal CD34+ cell dose remains unclear. We conducted a retrospective study on MM patients undergoing upfront transplant between 2005 and 2021 and divided them into low (≤2.5 × 106 cells/kg) and high (>2.5 × 106 cells/kg) CD34+ dose groups. We included 2479 patients, 95 in the low CD34+ group and 2384 in the high CD34+ group. Patients in the low CD34+ group were older (63.2 vs 61.1 years, p = 0.013), more often had R-ISS III (19% vs 9%, p = 0.014), received plerixafor (60% vs 35%, p 2.5 × 106 cells/kg. Multivariable analysis affirmed that CD34+ >2.5 × 106 cells/kg was associated with better PFS (HR 0.71, p = 0.008) and OS (0.59, p 2.5 × 106 cells/kg remained a predictor of better OS (0.42, p 2.5 × 106 cells/kg was associated with improved survival, without any additional benefit at incrementally higher doses.

Abstract The family of pro-inflammatory and pro-angiogenic chemokines including Interleukin-8 (IL-8, aka CXCL8) and its homologues (CXCL1,2,3,5,6, and 7) exhibit promiscuous binding and activation of several G-protein-coupled receptors (i.e., CXCR2, CXCR1, and the atypical chemokine receptor (ACKR1)). A high proportion of their biological activity is attributed to CXCR2 activation, thus many CXCR2 inhibitors are in clinical trials for several chronic diseases. However, CXCR2 inhibition is often only investigated acutely in these trials or in Cxcr2 −/− mice grown in gnotobiotic conditions. Since humans do not live in germ-free environments, our first goal is to highlight novel retinal and systemic observations in Cxcr2 −/− mice grown in non-gnotobiotic conditions that suggest potential harmful consequences of long-term CXCR2 deficiency or blockade. Beyond confirmation of circulating blood/immune cell-related phenotypes, we report novel findings in Cxcr2 −/− mice including: (1) delayed dye transit to the retinal vasculature, (2) alterations in the density and distribution of retinal vessels, astrocytes and microglia, (3) decreased electroretinogram a- and b-wave amplitudes, (4) reduced visual acuity, and (5) increased polymorphonuclear cell accumulation in vascular lumina abutting venular walls in the retina and in vital non-ocular tissues (lung and liver). Furthermore, PheWAS of CXCR2 CXCR1, and ACKR1 gene variants using data from UK Biobank participants suggest clinical associations with both retinal and vascular disease phenotypes. We conclude that chronic CXCR2 deficiency in mice contributes to functional damage to the retina and that the long-term safety of CXCR1/2 inhibitors designed for chronic use in humans should be explored before clinical adoption to safeguard sight and overall vascular health.

Introduction: Herpes Zoster (HZ) is a very painful and debilitating condition caused by the reactivation of the Varicella Zoster Virus (VZV). HZ is characterised by a maculopapular or vesicular rash, usually accompanied by pain that is unilateral and restricted to dermatomes. Post-herpetic Neuralgia (PHN) is defined as pain that persists for more than 90 days after the onset of the HZ rash. Aim: To evaluate the analgesic efficacy of a lidocaine patch in PHN. Materials and Methods: This prospective interventional study conducted at the Department of Anaesthesiology and Critical Care, Pt. BD Sharma, PGIMS, Rohtak, Haryana, India, from February 2020 to March 2021. The study included a total of 24 patients (single group), with a male-to-female ratio of 11:13, aged between 18 and 75 years, all with a Visual Analogue Scale (VAS) score greater than 4. An evaluation of patient pain scores using the VAS and the total number of lidocaine patches used per week for four weeks or until the VAS declined to four was conducted. After obtaining informed and written consent, a medicated 5% lidocaine patch was applied to cover the appropriate area for a minimum period of 12 hours, followed by removal for the next 12 hours. This application continued until the VAS declined to four or up to a maximum of four weeks. The level of significance was set at p≤0.05. Results: In the present study, a total of 24 patients were included. The mean age was 59.5±12.85 years, with 54.2% being female and 45.8% male. The VAS scores at baseline were 8.71±0.999, which reduced to 7.08±1.349 at the end of one week, 5.67±0.007 at the end of two weeks, 4.25±0.442 at the end of three weeks and 3.58±0.830 at the end of four weeks. The VAS scores were significantly lower in all patients over the four weeks (p=0.001). The total number of patches used was 1.88±0.338 at one week, 1.46±0.509 at two weeks, 1.04±0.204 at three weeks and 1.00 at four weeks. The total amount of patches used was significantly reduced over the four weeks (p=0.001). No side-effects related to the lidocaine patch were noted. Conclusion: The 5% lidocaine patch demonstrated good tolerability with a minimal risk of systemic adverse drug reactions and is an effective modality for relieving moderate to severe pain. It is concluded that the 5% lidocaine patch is very effective in the treatment of PHN.

Abstract Textile wastewater poses a significant environmental challenge, primarily due to the presence of diverse contaminants, especially textile dyes. Untreated release of these effluents directly into aquatic systems can lead to esthetic degradation, eutrophication, reduced photosynthetic activity, and accumulation of hazardous substances. Although conventional treatment methods are employed for reducing the contaminant load in effluents, they often are less efficient, thus prompting the exploration of innovative alternatives. Current review highlights myco-remediation as an inexpensive, promising and environmentally sustainable solution. Fungi, with their diverse decontamination mechanisms such as biosorption, biotransformation, and immobilization, prove effective in reducing heavy metals, persistent organic pollutants, and emerging contaminant levels present in these effluents, However, more research effort is needed to apply the biodegradation strategy to decompose completely the “forever chemicals” per‐ and polyfluorinated alkyl substances. Fungi play a key role in degrading and decolorizing textile dyes due to their biocatalytic activity mediated by the production of oxidative enzymes, such as laccases, lignin peroxidases, and manganese peroxidases, as well as their dye adsorption capabilities. This comprehensive review concentrates on fungi-based remediation of textile wastewater effluents, including the mechanisms they employ. While most studies concentrate on effluent treatment, this review also explores the concurrent utilization of biomass and growth kinetics for efficient reduction in pollutant concentrations. Further, the current work showed data on optimization of growth conditions such as pH, temperature and nutrient requirements that lead to efficient effluent decontamination.

Abstract Chronic kidney disease (CKD) affects ~10% of the population and cardiovascular disease is its commonest complication. Despite treatment, patient outcomes remain poor and newer therapies are urgently needed. Here, we investigated the systemic and renal effects of apelin in CKD. In a randomized, double-blind, placebo-controlled, crossover study, 24 subjects (12 patients with CKD and 12 matched healthy subjects) received pyroglutamated apelin-13 ([Pyr1]apelin-13, 1 nmol/min and 30 nmol/min) or matched placebo on two separate visits. Systemic and renal hemodynamics were monitored throughout. The co-primary endpoints were change in systemic vascular resistance index and renal blood flow. Secondary endpoints were change in blood pressure, cardiac output, pulse wave velocity, glomerular filtration rate, natriuresis, free water clearance and urinary protein excretion. In both health and CKD, 30 nmol/min [Pyr1]apelin-13 reduced mean arterial pressure by ~4%, systemic vascular resistance by ~12%, and increased cardiac index by ~10%, compared to placebo (p

Abstract Neuropsychology plays an important role in optimizing epilepsy management, but there are no practice guidelines for low‐ and middle‐income countries with emerging services. The National Epilepsy Surgery Support Activity Network (NESSAN), a national working group that supports and optimizes epilepsy surgery programs in India, explored the present status of pre‐ and post epilepsy surgery neuropsychological assessment practices across India as an initial step in developing national evidence‐based test guidelines. An online survey was conducted using two questionnaires, one for neurologists and the second for neuropsychologists and speech–language pathologists working in epilepsy surgery centers. The questions to neurologists covered the setting, description, and nature of the neuropsychology services provided for adults and children as part of the epilepsy surgery program, and their perceptions about the importance and indications for neuropsychological assessment in epilepsy surgery. The questions to neuropsychologists inquired about their qualifications and training, pre‐ and postsurgical assessment procedures, and domain‐specific cognitive tests and scales for mood, quality of life, and language evaluations. Forty‐three centers responded, and neuropsychology services were available at three fourth of the centers, but a dedicated full‐time neuropsychologist was available in only 16% of centers. Ninety percent of the neurologists considered neuropsychological evaluation an indispensable part of presurgical evaluation. However, only a few of them believed that the results influenced their decision about the extent of resection and ruling against surgery. The survey found considerable heterogeneity in terms of qualifications and training of neuropsychologists, evaluation procedures, test protocols, and normative data that will need to be harmonized to ensure uniform practice across the country. We believe that the results from this survey provide a road map for implementing measures to minimize existing inadequacies and harmonize neuropsychology services in India and as well as in other countries with emerging neuropsychology services. Plain Language Summary Neuropsychological assessment is an integral part of the pre‐ and post epilepsy surgery evaluations. In India, the National Epilepsy Surgery Support Activity Network (NESSAN), a body of multidisciplinary professionals, conducted a survey to examine existing neuropsychology practices. The responses from 43 centers across the country revealed considerable heterogeneity in tests and few trained and qualified neuropsychologists. In low‐ and middle‐income countries (LMIC) with emerging neuropsychology services, there is a need to have uniform test protocols, specialized training, and guidelines for optimizing neuropsychology services across all the epilepsy surgery centers.

Background: This study aims to identify factors influencing medical students' academic performance and develop a simplified action plan to prevent academic failure. Materials and Methods: A prospective educational intervention utilized Ron Fry’s Questionnaire to assess seven performance factors (concentration, comprehension, test anxiety, organizational skills, writing skills, computer skills, and system of taking notes in class) among medical students. Standard solutions with individualized action plans including intention statements, constant reminders, identifying reasons for test anxiety, and organizing oneself were offered based on these factors to create individualized action plans. Pre- and post-study test scores were compared using paired T-tests, and feedback was collected. Results: A total of 117 students participated, showing significant improvement in post-study marks (p = 0.00015). 31.6% of students improved and avoided failure post-study. 99% of students believed such interventions could benefit future batches in early performance identification. Conclusions: Utilizing Ron Fry’s questionnaire to identify performance factors and offering support in the form of standard solutions, may collectively enhance academic performance and reduce academic failure.

Background: Tuberculosis (TB) is caused due to the infection of Mycobacterium tuberculosis (MTB) and it can infect the various parts of the human body. The disease is highly prevalent and is the second most common cause of death worldwide after COVID-19. Apart from sputum specimen, it is exceedingly difficult to diagnose due to its paucibacillary nature. The current study was intended to evaluate the accuracy of Smart Sure™ MTB and multidrug-resistant-TB (MDR-TB) kits (Genetix Biotech Asia Pvt. Ltd., India) with Xpert ultra and Mycobacterium growth indicator tube (MGIT) culture on nonsputum specimens from TB suspects. Methods: A total of 205 nonsputum specimens were received between October 2023 and May 2024 at Intermediate Reference Laboratory, Department of Medicine, All India Institute of Medical Sciences, New Delhi, India. Xpert ultra and Smart Sure™ MTB and MDR-TB tests were done directly on samples. However, processed specimens were used for MGIT culture and drug-susceptibility testing (DST). Invalid and MGIT contaminated specimens were excluded from the final calculation. Results: Overall, sensitivity and specificity of Smart Sure™ MTB screening kit was 71.59% and 98.28%, respectively, with Xpert ultra and 68.35% and 90.83%, respectively, with MGIT culture. While comparing with both Xpert ultra and MGIT-DST to detect rifampicin (RIF) resistant, Smart Sure™ MDR-TB kits showed sensitivity of 75.0% and 100% of specificity. However, for isoniazid (INH) resistance, Smart Sure™ MDR-TB kits showed 100% of sensitivity and specificity with MGIT-DST. Conclusion: For the detection of MTB and its drug-resistance patterns (RIF and INH) in the specimens other than sputum, Smart Sure™ MTB and MDR-TB kits could play a vital role in TB endemic countries. While comparing the set-ups and skilled staffs, it required almost same as compared with previously approved WHO diagnostics used in resource-limited countries.

Abstract Background This paper examines the frequency of suicidal behaviors (suicidal ideation or attempt) among a sample of Syrian refugee women living in non-camp settings in Jordan. We asked several questions surrounding suicide and examined the associations between post-traumatic stress disorder (PTSD), social connectedness, post-displacement stressors and suicidal behaviors. Methods Participants (n = 507) were recruited using a clinic-based systematic sampling from four health clinics throughout Jordan in 2018. We used a multivariable logistic regression to examine the hypothesis of whether positive screening for PTSD (PCL-5), social isolation (have no friends or family members available to help), and greater number of post-displacement stressors (PMLD Checklist) is associated with suicidal behaviors. Results Approximately one-tenth (9.86%) of participants surveyed reported suicidal behaviors (suicidal ideation or attempt) in the past six months. Our hypothesis was partially supported. In the adjusted multivariable analyses, screening positive for PTSD [OR:4.02 (95% CI:1.33, 12.15)] increased odds of suicidal behaviors, while having one friend or family member available to help when in need [OR:0.31 (95% CI:0.13, 0.78)] decreased odds of suicidal behaviors. We did not find any associations between the number of post-displacement stressors and suicidal behaviors in the multivariable model. Conclusion Agencies and practitioners addressing suicidal behaviors among Syrian refugee women should provide interventions that aim to reduce PTSD symptoms and social isolation. Potential intervention includes screening for mental health symptoms and suicidal behaviors during routine visits with service providers, as well as providing proper mental health and psychosocial support services according to the mapping of available services.

Abstract At the beginning of the COVID-19 pandemic in the US, traffic sharply fell due to social distancing policies in many locations. Correspondingly, many regions observed an increase in traffic volume (traffic recovery) as the pandemic eased in 2022. We examine how vaccination rates influence traffic recovery in Los Angeles County (LAC), controlling for differences in case counts, demographics, and socioeconomic factors across areas with different vaccination rates. We use arterial road sensor data as a proxy for the traffic volume within each ZIP code, alongside their respective demographic and socioeconomic characteristics. We find that a higher vaccination rate is statistically significantly associated with a larger traffic recovery, a finding that remains consistent across all explored models. This implies that an increased vaccination rate could reduce the public’s perception of the risks of disease infection, leading to a larger traffic recovery. Moreover, we found that variables including population, income, race, work industry, and commuting preferences were correlated with vaccination rates. This highlights potential inequalities based on race, income, and industry sectors in the COVID-19 vaccination and a return to normal traffic flow.

Abstract This paper explores the historical context and current dynamics of the transboundary water issues between India and China. Both countries share multiple transboundary river basins, with the Brahmaputra River being one of the most significant. The importance of the Brahmaputra River to both nations goes beyond just providing resources. It has implications for national security, regional stability, and human livelihoods. However, China's upstream control over the river and its extensive dam-building projects have raised concerns in downstream India and Bangladesh about potential impacts on water availability, agriculture, and livelihoods. The river system is critical for the socioeconomic well-being of millions of people, yet the competing demands for water resources have led to geopolitical tensions. The paper highlights China's strategic use of water resources, including plans for large-scale dams, which India views as a potential threat to its water security. It also underscores the importance of a nuanced understanding of hydropolitics, emphasizing the need for human security, particularly water security, in addressing these challenges. It argues that while "water wars" are unlikely, "water tensions" are significant and must be addressed through comprehensive bilateral agreements and collaborative efforts.

Abstract Black ice is responsible for dangerous road-related incidents that can cause collisions and harm vehicle drivers and pedestrians. Visual examination and weather forecasts are two standard traditional methods for detecting black ice on roads, but they are often inaccurate and may not deliver the vehicle driver with up-to-date information on road conditions. The evolution of Industry 4.0 enabling technologies such as wireless sensor network (WSN), Internet of Things (IoT), cloud computing, and machine learning (ML) has been capable of detecting events in real time. This study aims to analyse the integration of the WSN, IoT, ML, and image processing for black ice detection. The qualitative research method is followed in this study, where the problems of black ice detection are studied. Following this, the role of Industry 4.0 enabling technologies is analyzed in detail for black ice detection. According to the study, we can detect black ice using different methods, but some methods need to be refined if we talk about the prediction. By merging different technologies, we can improve the overall architecture and create an algorithm that works with images and physical variables like temperature, humidity, due point, and road temperature, which were responsible for black ice formation, and predict the chances of black ice formation by training the system.

Abstract Existing research on sensory processing sensitivity (SPS) focuses majorly on populations involving children, those with Autism Spectrum Disorder, and those belonging to the Western countries. This study aims to contribute in bridging this gap by exploring the mediating role of Depression, Anxiety, Stress on the relationship between SPS and coping strategies in the general population, while also assessing the prevalence of these variables. Data was collected from a convenience sample of 107 participants (mean age = 20.6 years, 57.9% females). Participants’ responses were recorded for the Highly Sensitive Person Scale (HSPS), the Depression, Anxiety, Stress Scale (DASS-21), and the Coping Strategies Inventory-Short Form (CSI-SF). Correlational and mediation analyses of SPS, coping strategies and Depression, Anxiety and Stress were done. In the sample, 31.78% of individuals were found to be Highly Sensitive Persons (HSPs). The findings revealed significant relationships between SPS, Depression, Anxiety, Stress and coping strategies. Depression and Anxiety were observed to be significant mediators. While SPS as a trait may not be inherently modifiable, our results on its association with emotion-focused disengagement coping provide insight into target dysfunctional patterns for effective management of depression, stress, and anxiety. Further research is warranted to enhance the applicability of this study.

Abstract Wind speed and direction variations across the rotor affect power production. As utility‐scale turbines extend higher into the atmospheric boundary layer (ABL) with larger rotor diameters and hub heights, they increasingly encounter more complex wind speed and direction variations. We assess three models for power production that account for wind speed and direction shear. Two are based on actuator disc representations, and the third is a blade element representation. We also evaluate the predictions from a standard power curve model that has no knowledge of wind shear. The predictions from each model, driven by wind profile measurements from a profiling LiDAR, are compared to concurrent power measurements from an adjacent utility‐scale wind turbine. In the field measurements of the utility‐scale turbine, discrete combinations of speed and direction shear induce changes in power production of −19% to +34% relative to the turbine power curve for a given hub height wind speed. Positive speed shear generally corresponds to over‐performance and increasing magnitudes of direction shear to greater under‐performance, relative to the power curve. Overall, the blade element model produces both higher correlation and lower error relative to the other models, but its quantitative accuracy depends on induction and controller sub‐models. To further assess the influence of complex, non‐monotonic wind profiles, we also drive the models with best‐fit power law wind speed profiles and linear wind direction profiles. These idealized inputs produce qualitative and quantitative differences in power predictions from each model, demonstrating that time‐varying, non‐monotonic wind shear affects wind power production.

In Ayurveda, every individual is believed to possess a unique entity known as Prakriti, which distinguishes them from others physically, physiologically, and psychologically. This entity also determines an individual's response to a particular stimulus, and it is believed that such responses are not solely determined by genetics. The present research aims to validate the Ayurvedic concept of Prakriti from a modern molecular perspective to strengthen the personalized and precise treatment approach. A study was conducted to investigate the role of the KCNJ11gene in the susceptibility of individuals to type 2 diabetes mellitus (T2DM) with their metabolic status. The research involved allele mining on three major Prakriti groups - Vata, Pitta, and Kapha - in 112 patients with T2DM and 112 healthy individuals. The KCNJ11 gene, responsible for insulin secretion membrane pore formation, was analyzed to determine the susceptibility of different Prakriti types to T2DM. The MutPred tool predicted the molecular cause of disease-related amino acid substitution. According to the study, only Pitta and Kapha Prakriti were diagnosed with diabetes, while all three Prakriti types were present in the control group of healthy individuals. A protein model was prepared, and the changes resulting from mutations were observed for each group in their protein sequence, both as synonymous and non-synonymous mutations. Ultimately, these changes contributed to the manifestation of T2DM. Based on the findings, it appears that Prakriti groups may experience changes in protein function due to nonsynonymous mutations and differences in amino acids at the protein level.

Coal continues to be one of the most important primary energy sources and is a major contributor to economic growth, especially in the developing world. Coal fines are an unavoidable by-product of coal extraction. Fine coal is classified as waste when it is too difficult or uneconomical to process and thus disposed of into waste ponds. This leads to environmental liability and loss of valuable high-quality product. There have been numerous studies regarding the efficient processing of fine coal particles, to realise the full economic potential whilst reducing the product's environmental risks. Fluidization is commonly used in the processing of powders or fine particles since it enables continuous powder handling and promotes good particulate mixing. However, the fluidization of fine particles is challenging due to the propensity for channelling, clustering and elutriation. Enhanced fluidization methods have been used to overcome these problems. Several methods that have been employed include electric or magnetic fields, mechanical vibrations, centrifugal forces, introduction of foreign particles, the use of microjets and the use of acoustic sound waves. This study considered the use of in-situ ultrasound as a new alternative enhanced fluidization technique. The overall aim of this research project was to quantitatively determine the improvement in the fluidization behaviour of fine coal particles, under the influence of ultrasound. This new technique helped prevent channel formation, and bed cracking, and improvement in fluidization regimes were observed. Decreasing minimum fluidization velocities were observed for increasing ultrasonic intensities, across various bed heights. The addition of the ultrasound correction factor was able to improve the prediction capability of the model that was developed for the minimum fluidization velocity. The reduction in minimum fluidization velocity shows promise for reduced energy consumption, and increased production throughput, of the fine coal particle processing industry. Overall the novel application of ultrasound improved the quality and operability of the fluidization of fine coal particles.

Phase change materials (PCMs) are important constituents for the storage of thermal energy available from the sun. It acts as a bridge between energy demand and supply while reducing the mismatch. Organic and inorganic constituents have been used for a long time for thermal energy storage applications. In recent years, the focus has been shifted to eutectics. A eutectic is a minimum melting substance of two or more constituents. It has the advantage of having a sharp melting temperature and possessing high volumetric heat storage density. The eutectics possess a wide range of temperatures and have the properties of all of their constituents. At present organic-organic, organic-inorganic, and organic-inorganic eutectics are widely studied. In the present paper, various eutectic PCMs for low and medium temperature ranges have been analyzed. Their thermophysical properties and thermal stability and reliability concerning thermal cycling have been thoroughly discussed. The melting temperature lies in the range of −23.50 °C to 80 °C and the latent heat of fusion can be as high as 280 kJ/kg. Thermal cycle tests of up to 30000 have been conducted by various research groups, but at least 300 melt/freeze cycles are recommended so that they can be stable for a year of application. The organic eutectic PCMs are found stable in terms of deviation in melting temperature with the maximum deviation in latent heat of fusion observed was ± 20 %. The inorganic eutectic PCMs are somewhat unstable having a large deviation in melting temperature and latent heat of fusion. The low thermal conductivity of organic eutectics can be eliminated with suitable nanoparticle additives. The leakage issue can be eliminated by providing shape stabilization to the PCMs. These PCMs are suitable for various photovoltaic/thermal, buildings, textiles, solar water heating, solar air heaters, and heat recovery systems applications.

ABSTRACTProlonged and excessive use of chemical fertilizers has resulted in serious harm to soil health and ecosystems. This study aimed to reduce the cultivation costs for apricot trees, nearly 1/3rd of which are spent on fertilizers. The research was conducted on fully grown apricot trees of the cultivar “New Castle,” in the Solan district of Himachal Pradesh, India. The experiment consisted of fourteen treatment combinations evaluated in triplicate and statistically analyzed using a randomized block design (RBD). Results revealed that treatment T12 [50% Nitrogen (Calcium Nitrate) + 50% Nitrogen (Urea) + Azotobacter + Phosphate Solubilizing Bacteria + Vermicompost] resulted in the highest percent increase in tree trunk girth (6.82%), highest leaf chlorophyll content (3.00 mg g−1 fresh weight), leaf area (58.29 cm), fruit set (61.00%) and total yield (61.9 kg tree−1). In terms of nutrient status, T12 had the highest leaf N (2.95%), leaf K (2.60%), soil N (386.33 kg ha−1), soil P (51.00 kg ha−1) and soil organic carbon (1.81%). The highest net return and profit over recommended dose of fertilizers (RDF) was also recorded in treatment T12. The results of this study show that judicious fertilizer use along with integrated organic manure and bio-fertilizers can reduce cultivation costs, improve soil health, and increase fruit production with minimum ecosystem damage.

Background: Skin conditions form a major bulk of diseases in the community. With a disproportionately low number of dermatologists in the country, and a greatly unequal distribution between urban versus rural areas, ineffective treatment and mismanagement of skin conditions are, however, commonplace. Objective: To develop standard treatment workflows (STWs) for certain skin diseases for use by clinicians at primary, secondary, and tertiary care centers. Methodology: Seven members, from various academic institutes across the country, were selected for formulation of the STWs. They were provided logistic and technical support by the ICMR, Department of Health Research (DHR), and WHO India office. Multiple rounds of online and physical discussions were performed to identify topics that would be most useful in the management of skin diseases for the health care personnel (HCP) and subsequently to frame the STW content. Results: The selected diseases included acne and rosacea, alopecia, bacterial skin infections, cutaneous adverse drug reactions, dermatophytosis, eczema/dermatitis, immunobullous dermatoses, psoriasis, scabies, varicella and herpes, vitiligo, and urticaria. There was one separate module on rational use of topical corticosteroids. The STWs for these conditions have been finalised and are available as physical posters in health centers and can also be accessed online and through mobile applications. Conclusion: Thirteen STW modules have been prepared with a view to optimize management of skin diseases at various levels of health care system of the country.

Background: Mechanical thrombectomy (MT) for arterial ischemic stroke, although established in adults, is not endorsed routinely for children. The procedure is even rare in children with stroke involving posterior circulation. Here we describe, a child with ischemic stroke due to thrombotic occlusion in the posterior circulation, which was successfully treated with MT. Clinical Description: A 12-year-old boy presented with sudden-onset vertigo, imbalance, slurring of speech, inability to stand, associated with headache and vomiting for 8 hours, without any associated fever, trauma, or seizures. On initial examination, his National Institute of Health Stroke Scale (NIHSS) score was 8. Other systems were within normal limits and there was no cutaneous rash. Management and Outcome: Investigations revealed a normal complete hemogram, lipid profile, serum homocysteine, fibrinogen, and D-dimer levels along with a normal hemoglobin electrophoresis profile. The electrocardiography, two-dimensional echocardiography were normal and even antinuclear antibodies, antiphospholipid antibodies were negative. Magnetic resonance imaging (MRI) of the brain demonstrated multiple acute infarcts in bilateral cerebellar hemispheres, pons, and right anterior thalamus. Noncontrast MR angiography (MRA) of the head and digital subtraction angiography showed distal basilar artery cutoff and right vertebral artery dominance. As the NIHSS score worsened to 10, a MT with solitaire was done (after 12 hours of onset of symptoms), and reperfusion was achieved in two passes. The child showed remarkable improvement in NIHSS score to 2 by 5 days. At discharge, the child had residual mild ataxia. Despite investigations, the cause of thrombosis remained unknown. Conclusion: Our case highlights that in case of significant large arterial occlusion with rapid worsening of symptoms, MT may be considered, even if it involves posterior circulation, and the child presents beyond the usual window of 4–6 hours.

Abstract This study explores the practical applications of artificial intelligence (AI) in medical imaging, focusing on machine learning classifiers and deep learning models. The aim is to improve detection processes and diagnose diseases effectively. The study emphasizes the importance of teamwork in harnessing AI’s full potential for image analysis. Collaboration between doctors and AI experts is crucial for developing AI tools that bridge the gap between concepts and practical applications. The study demonstrates the effectiveness of machine learning classifiers, such as forest algorithms and deep learning models, in image analysis. These techniques enhance accuracy and expedite image analysis, aiding in the development of accurate medications. The study evidenced that technologically assisted medical image analysis significantly improves efficiency and accuracy across various imaging modalities, including X-ray, ultrasound, CT scans, MRI, etc. The outcomes were supported by the reduced diagnosis time. The exploration also helps us to understand the ethical considerations related to the privacy and security of data, bias, and fairness in algorithms, as well as the role of medical consultation in ensuring responsible AI use in healthcare.

Background: Thyroid dysfunction evaluation during pregnancy is important for the mother’s health, obstetric outcomes, and the child’s cognitive development. This study is conducted to know various thyroid disorders that can occur during antenatal and their impact on mother and fetus outcomes. Materials and Methods: This observational research was conducted over two years at a tertiary center in Western Rajasthan, India. Seven hundred and seventy-two low-risk singleton pregnant patients who met the inclusive criteria were recruited. The estimation of T3, T4, and TSH was done along with a routine investigation in antenatal women. Antenatal having abnormal thyroid profiles were then analyzed for mother and fetus problems. Results: The prevalence of thyroid dysfunction in antenatal women is 16.5%. Subclinical hypothyroidism (SCH) was seen in 12.5% of cases, overt hypothyroidism in 3.36%, and subclinical hyperthyroidism in only 0.51% of cases. Anti-TPO was positive in 46 (41.44%) women with hypothyroidism and 1 (25%) with hyperthyroidism. Compared to euthyroid women, women with overt hypothyroid (19.23% vs 3.1%, P = 0.002) and subclinical hypothyroid (9.27% vs 3.1%, P = 0.003) were found to be associated with a higher risk of hypertensive disease. Concerning fetal outcomes. There was a high risk for preterm (12.37% v/s 4.9%, P = 0.004) and fetal growth retardation (FGR) in patients with SCH (7.21% v/s 3.1%, P = 0.04). Conclusion: Considering the significant influence of thyroid disorders on mother and fetus outcomes, the screening for thyroid during pregnancy should be considered universally, particularly in developing countries with high prevalent rates, such as India.

Abstract This research addresses the scalable and inexpensive synthesis of α-Fe2O3via hydrothermal method without any precipitating agent as well as the enhancement of solar driven photocatalytic and H2 production through doping different chromium proportions. Competency of α-Fe2O3, both pure and doped with chromium, to function as photocatalyst was evaluated by its interaction with multiple dyes, which was real-time monitored utilizing (Internet of Things) IoT technique. By adding chromium, the rate of deterioration increased substantially from 15 to 94% for TB under sunlight in a remarkably brief 20 min by employing a very small amount of Cr0.8Fe1.2O3 (0.3 g/L), as evidenced by high degree of mineralization i.e. 85% and LC-HRMS. Also, the rapid breakdown of Trypan Blue (TB) was indicated by BOD5/COD ratio. Moreover, Cr-doped α-Fe2O3 displays excellent H2 production (~ 132 μmol h−1 g−1) as compared to α-Fe2O3. This work highlights the potential utilization of Cr-doped α-Fe2O3 for the purification of industrial waste water and green energy harvesting.

This study examines how COVID-induced and general attitudes toward Asians have changed over the course of the pandemic using nationally representative survey experiments in 2020 and 2022. First, we measured COVID-induced anti-Asian attitudes as the effect of a treatment reminding respondents of the pandemic on whether respondents would be willing to live or work with someone who is East or South Asian. The results suggest that the COVID-19 treatment worsened attitudes toward East and South Asians in the social domain and toward East Asians in the economic domain in 2020, but not in 2022. Second, we measured change in general attitudes toward Asians by comparing the control group responses in 2020 and 2022. The results demonstrate that, over the same period, general attitudes toward Asians have not improved despite growing attention toward anti-Asian biases. This finding underscores the persistence of general negative attitudes toward Asians beyond the immediate context of the pandemic and the ongoing imperative to actively address deeply ingrained biases against Asians.

Abstract The judiciary is a foundation of democracy, upholding the rule of law and protecting rights. Efficient court administration is vital for public trust, justice, and timely proceedings. Currently, courts face challenges such as inconsistencies, adjournments, and absence of transparency, undermining the justice system. Traditional manual processes and paper-based documentation cause significant backlogs, slow resolutions, and limited public access. As case volumes and complexities rise, modernizing court administration through digital transformation is progressively critical. Currently, many countries are integrating technologies in the courts for its administration and other activities. In recent years, courts and judges have been subjected to pressure to improve performance, uplifting judicial effectiveness to a top priority. Subsequently, several countries have integrated simplification and digitization strategies in judicial initiatives to enhance court efficiency. Switzerland’s Justitia 4.0 and Brazil’s PJE are notable initiatives that focused to strengthen court administration through digitalization. These aspects motivated this study to examine the detailed integration of industry 4.0 technologies such as the Internet of things, cloud computing, blockchain, big data analytics, robotics, drones, Metaverse, digital twins, and artificial intelligence for court administration with digitalized infrastructure. According to the study, integrating these technologies in less complex cases helps minimize expenditures and save time, making to resolve cases conveniently, efficiently, and superiorly. The study also identified the challenges and issues associated with industry 4.0 technologies such as evidence gathering, evidence preservation, robot judges for pre-judgment analysis, and judgment delivery, which future studies need to be explored.

Abstract Disease-monitoring in large vessel vasculitis (LVV) is challenging. Simultaneous 18F-fluorodeoxyglucose positron emission tomography with magnetic resonance imaging (PET/MRI) provides functional assessment of vascular inflammation alongside high-definition structural imaging with a relatively low burden of radiation exposure. Here, we investigate the ability of PET/MRI to monitor LVV disease activity longitudinally in a prospective cohort of patients with active LVV. We demonstrate that both the PET and MRI components of the scan can distinguish active from inactive disease using established quantification methods. Using logistic-regression modelling of PET/MRI metrics, we devise a novel PET/MRI-specific Vasculitis Activity using MR PET (VAMP) score which is able to distinguish active from inactive disease with more accuracy than established methods and detects changes in disease activity longitudinally. These findings are evaluated in an independent validation cohort. Finally, PET/MRI improves clinicians’ assessment of LVV disease activity and confidence in disease management, as assessed via clinician survey. In summary, PET/MRI may be useful in tracking disease activity and assessing treatment-response in LVV. Based on our findings, larger, prospective studies assessing PET/MRI in LVV are now warranted.

Abstract Background For centuries, plants have been used in the folk medicine of various cultures for their healing properties. It is amazing how nature has provided us with such powerful remedies. Oxalis corniculata (O. corniculata) has always been used traditionally for its medicinal attributes. In Asia, this herbaceous plant is used for treating many gastrointestinal disorders, such as diarrhea and dysentery. In African folk medicine, on the other hand, this herb is used for respiratory diseases, skin diseases, and fever. Main body Scientific research has revealed numerous pharmacological potentials of this plant, including antitumor, antimicrobial, antioxidant, anti-inflammatory, and hepatoprotective properties. In addition, studies have indicated that the extract of this plant protects against oxidative stress, inflammation, and various diseases, including cancer and diabetes. Phytochemical analysis of O. corniculata revealed various relevant compounds, including phenolic acids, flavonoids, and alkaloids, which are responsible for its therapeutic properties. Conclusion The various constituents of this plant have significant ethnomedicinal potential. The plant is a possible source of extracts and chemical compounds with pharmacological activity. In the future, O. corniculata could have an effective role in the development of modern drugs. The objective of this review is to summarize the current knowledge on the medicinal potential of O. corniculata, including its bioactive compounds, mechanisms of action, and therapeutic applications. Graphical abstract

Abstract Treatment-induced ototoxicity and accompanying hearing loss are a great concern associated with chemotherapeutic or antibiotic drug regimens. Thus, prophylactic cure or early treatment is desirable by local delivery to the inner ear. In this study, we examined a novel way of intratympanically delivered sustained nanoformulation by using crosslinked hybrid nanoparticle (cHy-NPs) in a thermoresponsive hydrogel i.e. thermogel that can potentially provide a safe and effective treatment towards the treatment-induced or drug-induced ototoxicity. The prophylactic treatment of the ototoxicity can be achieved by using two therapeutic molecules, Flunarizine (FL: T-type calcium channel blocker) and Honokiol (HK: antioxidant) co-encapsulated in the same delivery system. Here we investigated, FL and HK as cytoprotective molecules against cisplatin-induced toxic effects in the House Ear Institute - Organ of Corti 1 (HEI-OC1) cells and in vivo assessments on the neuromast hair cell protection in the zebrafish lateral line. We observed that cytotoxic protective effect can be enhanced by using FL and HK in combination and developing a robust drug delivery formulation. Therefore, FL-and HK-loaded crosslinked hybrid nanoparticles (FL-cHy-NPs and HK-cHy-NPs) were synthesized using a quality-by-design approach (QbD) in which design of experiment-central composite design (DoE-CCD) following the standard least-square model was used for nanoformulation optimization. The physicochemical characterization of FL and HK loaded-NPs suggested the successful synthesis of spherical NPs with polydispersity index 75%), drugs loading (~ 10%), stability (> 2 months) in the neutral solution, and appropriate cryoprotectant selection. We assessed caspase 3/7 apopototic pathway in vitro that showed significantly reduced signals of caspase 3/7 activation after the FL-cHy-NPs and HK-cHy-NPs (alone or in combination) compared to the CisPt. The final formulation i.e. crosslinked-hybrid-nanoparticle-embedded-in-thermogel was developed by incorporating drug-loaded cHy-NPs in poloxamer-407, poloxamer-188, and carbomer-940-based hydrogel. A combination of artificial intelligence (AI)-based qualitative and quantitative image analysis determined the particle size and distribution throughout the visible segment. The developed formulation was able to release the FL and HK for at least a month. Overall, a highly stable nanoformulation was successfully developed for combating treatment-induced or drug-induced ototoxicity via local administration to the inner ear. Graphical Abstract

Abstract With an aging population and an increase in chronic sickness, healthcare systems are under increasing pressure. Internet of Things (IoT) technology has recently garnered a lot of interest for its ability to alleviate this burden. The IoT is a network of interconnected wireless digital devices that can gather, transmit, and store data automatically, without the need for human or computer intervention. In order to better anticipate health problems, diagnose, treat, and monitor patients in and out of the hospital, the IoT offers numerous advantages that could streamline and improve health care delivery. As a matter of urgency, decision-makers and heads of state around the world are enacting policies to provide healthcare services through the use of technology. Thanks to recent advancements in the IoT, healthcare has been able to evolve at a rapid pace. Research on Internet IoT uses in healthcare and newly developed emergency equipment are summarized in this article.

Background: We aimed to assess the utility of B-type natriuretic peptide (BNP) and 6-min walk test (6 MWT) together as predictors of re-hospitalization and mortality in acute decompensated heart failure (ADHF) patients. Methods: This prospective, observational, comparative study was conducted at a tertiary care center in India between October 2016 and March 2018. Patients (aged≥18 years) with ADHF and left ventricular systolic dysfunction were included in this study. The study group (N = 100 patients) consisted of patients undergoing a second BNP test along with the 6 MWT at the time of discharge and at 3-months of discharge. The control group (N = 100 patients) consisted of patients who did not undergo these tests at discharge and/or at 3-months of discharge. Study endpoints were re-hospitalization within 6-months, and in-patient and 6-month mortality. Results: Total 200 patients diagnosed with ADHF were enrolled. Mean age was 53.46 ± 10.12 years in the study group and 52.98 ± 9.88 years in the control group. ROC analysis of BNP level to predict re-hospitalization revealed AUC of 0.935 (p

Tree–crop interaction studies help to determine the effects of trees on the production and yield of agricultural crops and could help indecisions on suitable crops and tree combinations to increase the overall production from agroforestry systems. Different varieties of agricultural crops might show different responses against the phytotoxic effects of Bauhinia species. This study was conducted to observe the phytotoxicity of two Bauhinia spp., i.e., Bauhinia retusa and Bauhinia variegata, on some Triticum aestivum varieties, i.e., VL-892, VI-829, VL-616, UP-2572, and UP-1109.The leaves and bark of these two species were harvested from the natural population for these experiments. On average, germination and radicle and plumule length of wheat varieties were significantly (p > 0.05) reduced by the leaf and bark extracts of both Bauhinia species. The effect of leaf and bark extracts of both Bauhinia species on seed germination percent of different wheat varieties revealed that the bark and leaf extracts showed maximum toxicity for germination percentage, and minimum influence was observed in radicle and plumule length. However, bark extracts were more toxic as compared to leaf extracts. Under leaf and bark extract concentrations, the VL 829 wheat variety showed stimulatory effects in germination and radicle and plumule growth under both Bauhinia species. On average, radicle and plumule growth of the test crop was increased with an increasing concentration of leaf and bark extract of B. variegata up to 50%, and thereafter, a decrease in radicle and plumule length was recorded. The VL 829 and UP 1109 varieties showed the lowest allelopathic effects and could be grown under both Bauhinia species with minimum yield loss.

Mitral annular disjunction (MAD) is defined as a separation between the mitral annulus and the left ventricular myocardium and is most often seen in association with mitral valve prolapse (MVP). MAD has been linked to ventricular arrhythmias in adults, independent of MVP. However, it has rarely been reported in children. We, hereby, report two cases of MAD associated with a large atrial septal defect (ASD). Thus far, there are no consensus guidelines for the management of MAD. The additional association of large ASD further complicates the decision-making in these patients. To the best of our knowledge, this is the first report of the association of MAD with ASD. We further discuss the challenges in the management of this condition.

Abstract After India gained independence in 1947, notable advancements in healthcare and socio-economic sectors resulted in a remarkable population surge, consequently driving substantial expansion in built-up areas throughout the country. The consequences of the rapid and unplanned expansion are adverse in the Himalayas where earthquake, landslides, flash floods are frequent. The already established hill stations saw a rapid surge in tourism and subsequent urbanization. This study delves into assessing the urban suitability of such hill stations namely Nainital, Shimla, and Darjeeling. The surge in tourism led to alarming population growth with haphazard urbanization which is often severely affected by growing natural hazards. The aim of this study is to assess the urbanization suitability of the regions based on multiple factors that affects the choice of suitable place for urban growth. We employed the GIS based Multi-Criteria Decision-Making Approach (MCDMA) considering geological, socio-economical, ecological, and prohibitive factors using the Analytical Hierarchy Process (AHP) method. The obtained land-use suitability maps for urbanization show that in Nainital the most suitable area for urbanization is the foothills of the Himalayas whereas in Shimla it is around the central and southern part. The northern part and the eastern boundary of Darjeeling are the most suitable area for urbanization. Upon comparing the already existing built-up areas with the AHP derived site suitability results we found that the Darjeeling district is most vulnerable as almost half of the built-up area (49%) lies within a very low to moderate suitable zone. Our findings show that Darjeeling has the highest amount of suitable land for urbanization as the bare ground in the region is not suitable for agriculture. Interestingly, the farmlands in Nainital show highest suitability when urbanization is considered. This brings out a serious problem in urbanization trend and it is observed throughout the world. Thus, more careful research is needed ensuring proper land use and food security for the growing population. This study lays a foundational understanding of challenges associated to urbanization in a tectonically active mountain range.

Abstract Rhinoviruses (RVs) cause upper respiratory tract infections and pneumonia in children and adults. These non-enveloped viruses contain viral coats of four capsid proteins: VP1, VP2, VP3, and VP4. The canyon on VP1 used cell surface receptor ICAM-1 as the site of attachment and for the internalization of viruses. To date, there has been no drug or vaccine available against RVs. In this study, bioactive natural compounds of rosemary (Salvia rosmarinus L.), which are known for their pharmacological potential, were considered to target the VP1 protein. A total of 30 bioactive natural compounds of rosemary were taken as ligands to target viral proteins. The PkCSM tool was used to detect their adherence to Lipinski’s rule of five and the ADMET properties of the selected ligands. Further, the CB-Dock tool was used for molecular docking studies between the VP1 protein and ligands. Based on the molecular docking and ADMET profiling results, phenethyl amine (4 methoxy benzyl) was selected as the lead compound. A comparative study was performed between the lead compound and two antiviral drugs, Placonaril and Nitazoxanide, to investigate the higher potential of natural compounds over synthetic drugs. Placonaril also targets VP1 but failed in clinical trials while Nitazoxanide was examined in clinical trials against rhinoviruses. It was discovered from this study that the (4 methoxy benzyl) phenethyl amine exhibited less toxicity in comparison to other tested drugs against RVs. More research is needed to determine its potential and make it a good medication against RVs.

Abstract Multiple myeloma management requires a balance between maximizing survival, minimizing adverse events to therapy, and monitoring disease progression. While previous work has proposed data-driven models for individual tasks, these approaches fail to provide a holistic view of a patient’s disease state, limiting their utility to assist physician decision-making. To address this limitation, we developed a transformer-based machine learning model that jointly (1) predicts progression-free survival (PFS), overall survival (OS), and adverse events (AE), (2) forecasts key disease biomarkers, and (3) assesses the effect of different treatment strategies, e.g., ixazomib, lenalidomide, dexamethasone (IRd) vs lenalidomide, dexamethasone (Rd). Using TOURMALINE trial data, we trained and internally validated our model on newly diagnosed myeloma patients (N = 703) and externally validated it on relapsed and refractory myeloma patients (N = 720). Our model achieved superior performance to a risk model based on the multiple myeloma international staging system (ISS) (p

Abstract Background Vitiligo is an auto-immune progressive depigmentation disorder of the skin due to loss of melanocytes. Genetic risk is one of the important factors for development of vitiligo. Preponderance of vitiligo in certain ethnicities is known which can be analysed by understanding the distribution of allele frequencies across normal populations. Earlier GWAS identified 108 risk alleles for vitiligo in Europeans and East Asians. In this study, 64 of these risk alleles were used for analysing their enrichment and depletion across populations (1000 Genomes Project and IndiGen) with reference to 1000 Genomes dataset. Genetic risk scores were calculated and Fisher’s exact test was performed to understand statistical significance of their variation in each population with respect to 1000 Genomes dataset as reference. In addition to SNPs reported in GWAS, significant variation in allele frequencies of 1079 vitiligo-related genes were also analysed. Two-tailed Chi-square test and Bonferroni’s multiple adjustment values along with fixation index (≥ 0.5) and minimum allele frequency (≥ 0.05) were calculated and used to prioritise the variants based on pairwise comparison across populations. Results Risk alleles rs1043101 and rs10768122 belong to 3 prime UTR of glutamate receptor gene SLC1A2 are found to be highly enriched in the South Asian population when compared with the ‘global normal’ population. Intron variant rs4766578 (ATXN2) was found to be deleted in SAS, EAS and AFR and enriched in EUR and AMR1. This risk allele is found to be under positive selection in SAS, AMR1 and EUR. From the ancillary vitiligo gene list, nonsynonymous variant rs16891982 was found to be enriched in the European and the Admixed American populations and depleted in all others. rs2279238 and rs11039155 belonging to the LXR-α gene involved in regulation of metalloproteinase 2 and 9 (melanocyte precursors) were found to be associated with vitiligo in the North Indian population (in earlier study). Conclusion The differential enrichment/depletion profile of the risk alleles provides insight into the underlying inter-population variations. This would provide clues towards prioritisation of SNPs associated with vitiligo thereby elucidating its preponderance in different ethnic groups.

Abstract Extra-pulmonary TB (EPTB) is difficult to diagnose due to paucibacillary nature of disease. Current study evaluated accuracy of Truenat MTB and MTB-Rif Dx (TN), for detection of Mycobacterium tuberculosis and resistance to rifampicin. Samples were collected from 2103 treatment naive adults with presumptive EPTB, and tested by smear microscopy, liquid culture (LC) (MGIT-960) and GeneXpert MTB/RIF (GX) (Microbiological Reference Standards, MRS). TN results were compared to MRS and Composite Reference Standards (CRS, Microbiology, histopathology, radiology, clinical features prompting decision to treat, response to treatment). CRS grouped patients into 551 confirmed, 1096 unconfirmed, and 409 as unlikely TB. TN sensitivity and specificity was 73.7% and 90.4% against GX. Against LC, Overall sensitivity of GX was 67.6%, while that of TN was 62.3%. Highest sensitivity by TN was observed in pus samples (89%) and highest specificity (92%) in CSF samples, similar to GX. TN sensitivity was better in fluid and biopsy samples and slightly inferior for lymph node aspirates compared to GX. TN sensitivity for RIF resistance detection was slightly superior to GX. TN and GX results were further compared to Clinical Reference Standards. TN detected 170 TB patients initiated on treatment missed by GX, while GX detected 113 such patients missed by TN. Of 124 samples with RIF resistance discordance between GX and TN, GX reported 103/124 as sensitive, 3/124 as indeterminate and 18 as resistant (13/18 samples had low/very low DNA load) while TN reported RIF resistance indeterminate in 103/111 low/very low DNA load samples. Due to paucibacillary nature of EPTB samples, culture yield was poor and phenotypic drug susceptibility testing failed to resolve the discordance. The study establishes TN at par with GX and can be utilized for quick and accurate diagnosis of EPTB.