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Local and illegal exploitation of wildlife is particularly widespread in highly populated and bio-diverse countries such as India. In such countries, illicit utilization practices and how these are perceived among local communities are commonly not well-documented. Due to a lack of data, and environmental education measures to protect ecosystems and biodiversity, the extent of this exploitation appears immense and often goes unnoticed. Therefore, in 2019, a series of awareness workshops targeting the conservation of wildlife focused on monitor lizards (Varanidae) was conducted in five districts of West Bengal, India. The environmental awareness workshops were conducted through PowerPoint slide presentations and questionnaires collecting baseline data from the participants regarding their perceptions and relationships to the three species of Varanus recorded for West Bengal. Our findings reveal specific human attitudes and varying local utilization patterns of monitor lizards. This study was the first to communicate and spread awareness in the study areas about why the conservation of local wildlife such as Varanus species is important for ecosystems and human well-being based on the ‘Nature Contributions to People Concept’.

Abstract Background Pemetrexed is combined with cisplatin to treat cancer. Whether pemetrexed-cisplatin combination chemotherapy exacerbates cisplatin nephrotoxicity is unclear. Here, we investigated kidney injury in mice administered a non-lethal low-dose regimen of pemetrexed or cisplatin alone and compared it with a pemetrexed-cisplatin combination. Methods Mice were randomly divided into four groups and administered intraperitoneally the experimental drugs solubilized in captisol (sulfobutylether β-cyclodextrin). Group 1 received captisol, Group 2 pemetrexed (10 mg/kg), Group 3 cisplatin (1 mg/kg), and Group 4 pemetrexed (10 mg/kg) plus cisplatin (1 mg/kg). The mice were treated every other day for two weeks, three times per week. Glomerular filtration rate (GFR) was determined on the third day after the last treatment, followed by a necropsy. Results Whereas the relative kidney weight was comparable in the control vs. pemetrexed or cisplatin alone group, it was significantly increased in the combination group. Mice treated with cisplatin and pemetrexed-cisplatin combination exhibited reduced GFR. The pemetrexed-cisplatin combination caused significant increases in the plasma or urinary levels of kidney injury biomarkers, renal lipid peroxidation, and nitrosative stress compared with pemetrexed or cisplatin alone. Histopathology revealed that pemetrexed or cisplatin alone had minimal effects on the kidneys. By contrast, the pemetrexed-cisplatin combination caused tubular degeneration, dilatation, and granular casts. Live-cell imaging showed that the pemetrexed-cisplatin combination caused more severe apoptosis of primary renal epithelial cells than individual concentrations. Conclusions These findings suggest that combining pemetrexed and cisplatin causes oxidative kidney damage at individual doses that do not cause significant nephrotoxicity. Hence, the renal function of patients undergoing treatment with the pemetrexed-cisplatin combination needs extensive monitoring.

Background: Clinical presentation of coronavirus disease 2019 (COVID-19) mimics many respiratory ailments. Aim: The aim of this study was to explore the psychosocial impact of COVID-19 and subsequent state-imposed lockdown on patients presenting with respiratory complaints. Methodology: This was a prospective study on 82 outpatients at a tertiary care institute from North India during the period of strict lockdown. Baseline assessment was conducted using socioclinical pro forma, COVID-19-related questionnaire, lockdown-related questionnaire, and General Health Questionnaire-12 (GHQ-12) Hindi version. Reassessment was done twice: immediately and 41–45 days after relaxation of strict lockdown. Quality of life (QOL) at first and second follow-up versus the prelockdown times (Score A and Score C) and first follow-up versus unlockdown (Score B) was noted. Results: Psychological distress was experienced in 45.1% and 17.1% of patients at baseline and first follow-up (P < 0.001). Clinical symptoms, worry for COVID-19, negative thoughts, and total score (lockdown) decreased significantly at first follow-up. The mean C score was significantly better than the mean A score (P < 0.001). Baseline and follow-up psychological distress was significantly more in those with poorer values of total score (lockdown) and its domains. On logistic regression, follow-up GHQ-12 correlated positively with Domain 2 (P = 0.027; odds ratio [OR] = 0.7) and “worry for COVID” (P = 0.017; OR = 10.136). Conclusion: Persons presenting with respiratory complaints and experiencing “worry for COVID-19” at the start of the lockdown were more likely to also experience psychological distress, which decreased significantly but persisted for prolonged periods even after relaxation in lockdown. Policymakers, while indulging in mental health planning in pandemics, should not ignore this issue of development and perpetuation of psychological distress in such otherwise “psychologically normal” individuals.

Background: Linear scleroderma (LS) is a variant of localized scleroderma, which is termed as “en coup de sabre” (ECDS) when it involves the head and/or face. Although mainly a dermatological condition, extracutaneous manifestations have been infrequently reported. Clinical Description: A 13-year-old boy presented with fever, altered sensorium with seizures, right hemiparesis, and right-sided upper motor neuron type of facial palsy. He was noticed to have a depression in the left frontoparietal area of the scalp with skin changes. Management and Outcome: The child was initially managed along the lines of acute encephalitis supported with mechanical ventilation. Brain imaging revealed tiny calcification in the left temporal and parietal lobes with altered signal intensities ipsilateral to the scalp lesion. Suspecting an association with the overlying scalp skin lesion, biopsy of the skin lesion was done which confirmed LS. The erythrocyte sedimentation rate was elevated and the antinuclear antibody was positive. The child was started on pulse methylprednisolone following which encephalopathy improved facilitating extubation. Later, he was started on subcutaneous methotrexate and he improved on follow-up. Conclusion: This case creates awareness regarding the association between neurological manifestations and LS EDCS, which responds favorably to immunosuppressives and methotrexate.

Abstract Groundwater is the most salient and utilitarian water resource for living organisms. However, major parts of the Ken River Basin (KRB) in Central India are grappling with the overexploitation of groundwater resources, primarily due to extensive agricultural activities, raising problems in achieving Sustainable Development Goals (SDGs) 2 and 6. This study focused on delineating groundwater potential zones (GPZ) by employing remote sensing and GIS-based thematic datasets, complemented by the application of the Analytic Hierarchy Process (AHP). The thematic layers consisting of geomorphology, precipitation, geology, soil texture, lineament density, slope, LULC, and drainage density were considered and further weights were allocated with respect to their water storing capacity and characteristics to groundwater occurrences to develop GPZs. The zones were generated by classifying overlayed maps into four categories namely, very low, low, moderate, and high. The key findings indicated that 13.84%, 62.34%, 23.37%, and 45% of areas were found under high, moderate, low, and very low GPZs respectively. Furthermore, the zonation map was validated with 48 boreholes’ yield, which revealed a noteworthy 77.08% borewells in concurrence with predicted zones. Area Under the Receiver Operating Characteristic (AUROC) curve showcased a commendable 70.1% accuracy using the ROC curve. These results were highly beneficial in formulating sustainable groundwater management plans and policies, contributing towards the attainment of targets outlined in SDGs 2 and 6, particularly in regions resembling the KRB.

Abstract Objectives The clinical activity score (CAS) and European severity scale (ESS) are established clinical tools to assess thyroid eye disease (TED) but are limited in terms of subjectivity and their reliability in non-Caucasian individuals, and can underestimate significant disease in the posterior orbit. Preliminary data from pilot studies have shown that diffusion-weighted imaging (DWI) using extraocular muscle (EOM) apparent diffusion coefficient (ADC) measurements may provide complementary information in TED. This study expands on previous research to assess for correlations between clinical scores and EOM-ADCs in stratifying disease activity and severity in a large patient cohort from an ethnically diverse population. Methods A retrospective review of TED clinics between 2011 and 2021 identified 96 patients with a documented CAS and ESS and an orbital MRI that included DWI. From regions of interest manually placed on EOM bellies, the highest ADC was computed for each patient and analysed for correlations and associations with CAS and ESS using Spearman Rank correlation and Mann–Whitney U tests, and any potential discriminatory cut-offs using Receiver Operator Curve analyses. A p-value

Practical reason is the use of reason to decide how to act and perform in a social reality. When someone deliberates about what to do, one puts all the reasons for the action, and then all the reasons against the action will determine the outcome of the action. In that situation, we can describe that practical action with reason because we will determine reason with the weight of different reasons not on the weighing reasons. In this paper, we analyze that reasons have weight against the theory that weights of reasons have no role in a theory of reasoning, and defend that reasons have weight with the evidence of practical reasons. The aim of this paper is to argue that weight of reasons has a role in the process of reasoning. In every situation of life, we can use have reason and weight of reason according to the practical situation of life.

Abstract Background Identifying the risk indicators of parental dental anxiety (PDA) and oral health literacy (OHL) can help oral healthcare professionals recognise challenges in this field. Armed with the appropriate information, they can effectively engage with parents to build trust and promote early and regular child dental visits. Objectives This study aimed to investigate the association between PDA and OHL with the sociobehavioural characteristics of families, self-reported child oral health (presence of ≥ 1 untreated decayed teeth) and the dental visit patterns amongst children living in Al Jouf Province, Kingdom of Saudi Arabia. Subjects and methods A total of 430 parents with children aged ≥ 14 years were invited using a systematic random sampling method. PDA was assessed using the Dental Anxiety Scale-Revised (DAS-R) scale, and parents’ OHL was measured using the Rapid Estimate of Adult Literacy in Dentistry-30 (REALD-30). The relationships amongst participant characteristics, PDA and OHL were evaluated through the Chi-square and ANOVA. Additionally, binary regression analysis was conducted to identify predictor variables associated with PDA and OHL. A P value of 12 months ago (AOR = 34.94; P

Abstract Background Cleft lip and palate (CLP) are among the most common congenital anomaly that affects up to 33,000 newborns in India every year. Nasoalveolar moulding (NAM) is a non-surgical treatment performed between 0 and 6 months of age to reduce the cleft and improve nasal aesthetics prior to lip surgery. The NAM treatment has been a controversial treatment option with 51% of the cleft teams in Europe, 37% of teams in the USA and 25 of cleft teams in India adopting this methodology. This treatment adds to the already existing high burden of care for these patients. Furthermore, the supporting evidence for this technique is limited with no high-quality long-term clinical trials available on the effectiveness of this treatment. Method The NAMUC study is an investigator-initiated, multi-centre, single-blinded randomized controlled trial with a parallel group design. The study will compare the effectiveness of NAM treatment provided prior to lip surgery against the no-treatment control group in 274 patients with non-syndromic unilateral complete cleft lip and palate. The primary endpoint of the trial is the nasolabial aesthetics measured using the Asher McDade index at 5 years of age. The secondary outcomes include dentofacial development, speech, hearing, cost-effectiveness, quality of life, patient perception, feeding and intangible benefits. Randomization will be carried out via central online system and stratified based on cleft width, birth weight and clinical trial site. Discussion We expect the results from this study on the effectiveness of treatment with NAM appliance in the long term along with the cost-effectiveness evaluation can eliminate the dilemma and differences in clinical care across the globe. Trial registration ClinicalTrials.gov CTRI/2022/11/047426 (Clinical Trials Registry India). Registered on 18 November 2022. The first patient was recruited on 11 December 2022. CTR India does not pick up on Google search with just the trial number. The following steps have to be carried out to pick up. How to search: ( https://ctri.nic.in/Clinicaltrials/advsearch.php —use the search boxes by entering the following details: Interventional trial > November 2022 > NAMUC).

Oculopalatal tremor (OPT) is a complex neurological disorder characterized by acquired oscillatory nystagmus synchronized with tremors of the soft palate and other muscles. The article discusses the pathology, clinical manifestations, and diagnostic methods of OPT. A comprehensive literature search was conducted in PubMed and Google Scholar using keywords and relevant articles were studied and analysis was done. Vertical pendular nystagmus is the hallmark, while other muscles such as the neck, head, larynx, and diaphragm may be affected. The pathophysiology is due to lesions of the Guillain–Mollaret triangle (GMT), which causes hypertrophy of the inferior olivary. Neuroimaging reveals hypertrophy of the inferior olivary medulla, which aids in diagnosis. Drug treatments such as gabapentin and memantine can reduce nystagmus, although the visual quality may not permanently improve. The study explores the complexity of the pathophysiology and clinical presentation of OPT. New treatments that target abnormal neuronal connections with drugs such as quinine or mefloquine are being investigated. The potential of deep brain stimulation (DBS) remains uncertain, with promising aspects but limited efficacy. A synergy of technology and treatment is proposed to advance OPT treatment. Future studies will aim to clarify the nuances of responses to OPT and may include a comparative study of medication and DBS. OPT is mainly caused by a disruption in GMT/dentato-rubro-olivary pathway, presenting with tremor, and nystagmus is diagnosed with magnetic resonance imaging. Gabapentin and memantine have proved to be effective in improving the condition except for visual changes.

Abstract Dendranthema grandiflora is an important cut flower with high economic importance in the floriculture industry. Identification of stable and high yielding genotypes of Dendranthema grandiflora, hence becomes paramount for ensuring its year-round production. In this context, the genotype by environment interaction effects on 22 chrysanthemum hybrids across six test environments were investigated. The experiment was conducted using Randomized Complete Block Design with three replications for 6 years and data on various agro-morphological and yield-contributing traits were evaluated. Our analysis revealed significant mean sum of squares due to environmental, genotypic and genotype by environment interaction variations for all examined traits. A 2D GGE biplot constructed using first two principal components computed as 59.2% and 23.3% of the differences in genotype by environment interaction for flower yield per plant. The GGE biplot identified two top-performing genotypes, G2 and G5, while the AMMI model highlighted genotypes G17, G15, G6, G5, and G2 as the best performers. Genotype G17 ranked highest for multiple traits, while G2 displayed high mean flower yield as well as stability across all environments. According to AEC line, genotypes G2 and G5 exhibited exceptional stability, whereas genotypes G4, G18 and G19 demonstrated lower stability but maintained high average flower yields. Hence, our findings provide valuable insights into chrysanthemum hybrids that were not only best performing but also hold promise to meet the growers demand of the cut flower industry and can be recommended for large scale commercial cultivation.

Abstract Collective spin-wave excitations, magnons, are promising quasi-particles for next-generation spintronics devices, including platforms for information transfer. In a quantum Hall ferromagnets, detection of these charge-neutral excitations relies on the conversion of magnons into electrical signals in the form of excess electrons and holes, but if the excess electron and holes are equal, detecting an electrical signal is challenging. In this work, we overcome this shortcoming by measuring the electrical noise generated by magnons. We use the symmetry-broken quantum Hall ferromagnet of the zeroth Landau level in graphene to launch magnons. Absorption of these magnons creates excess noise above the Zeeman energy and remains finite even when the average electrical signal is zero. Moreover, we formulate a theoretical model in which the noise is produced by equilibration between edge channels and propagating magnons. Our model also allows us to pinpoint the regime of ballistic magnon transport in our device.

Abstract Alzheimer’s disease (AD) is a neurodegenerative disorder that mostly affects old aged people. Its symptoms are initially mild, but they get worse over time. Although this health disease has no cure, its early diagnosis can help to reduce its impacts. A methodology SMOTE‐RF is proposed for AD prediction. Alzheimer's is predicted using machine learning algorithms. Performances of three algorithms decision tree, extreme gradient boosting (XGB), and random forest (RF) are evaluated in prediction. Open Access Series of Imaging Studies longitudinal dataset available on Kaggle is used for experiments. The dataset is balanced using synthetic minority oversampling technique. Experiments are done on both imbalanced and balanced datasets. Decision tree obtained 73.38% accuracy, XGB obtained 83.88% accuracy and RF obtained a maximum of 87.84% accuracy on the imbalanced dataset. Decision tree obtained 83.15% accuracy, XGB obtained 91.05% accuracy and RF obtained maximum 95.03% accuracy on the balanced dataset. A maximum accuracy of 95.03% is achieved with SMOTE‐RF.

IntroductionAtopic dermatitis (AD) is a chronic inflammatory skin disorder that affects millions worldwide, presenting challenges in managing symptoms and quality of life. Current treatments include topical corticosteroids (TCS), but novel approaches, such as Janus kinase (JAK) inhibitors, show promise. Baricitinib, a selective JAK1 and JAK2 inhibitor, targets cytokines involved in AD and offers potential benefits beyond traditional therapies.MethodsA systematic review and meta-analysis of randomized controlled trials (RCTs) was performed to evaluate the efficacy and safety of baricitinib in treating moderate-to-severe AD. We followed PRISMA guidelines and assessed data from PubMed, Cochrane Central, ScienceDirect, and ClinicalTrials.gov up to August 2024. The analysis included trials comparing baricitinib to placebo, with or without TCS, evaluating outcomes such as Investigator's Global Assessment (IGA) scores, Eczema Area and Severity Index (EASI) scores, and safety profiles.ResultsSix RCTs involving 2,595 participants met the inclusion criteria. Baricitinib demonstrated significant improvements in IGA scores, EASI scores, Dermatology Life Quality Index (DLQI), and other outcome measures compared to placebo. The efficacy was consistent across different dosages (1 mg, 2 mg, 4 mg) and whether baricitinib was used with or without TCS. Safety analyses revealed a significant increase in treatment-emergent adverse events (TEAEs), particularly with the 2 mg and 4 mg dosages and with TCS.ConclusionBaricitinib, both alone and in combination with TCS, significantly improves symptoms and quality of life in patients with moderate-to-severe AD, with efficacy consistent across dosages. The safety profile is overall acceptable, though a significant increase in TEAEs was observed, particularly with higher dosages and when used with TCS. Ongoing monitoring of TEAEs is recommended, and future trials with longer follow-up periods are suggested to better understand long-term outcomes.

The initiation of the first crack mainly determines the criteria for glass failure. However, the extended consequences of cracking, with the formation of multiple cracks merging, result in fallout conditions under varying thermal loads that become more critical. Point-supported glass arrangements are globally used in high-rise and energy-efficient buildings for architectural ingenuity aimed at a low budget. However, the formation of cracks due to thermal load resulting in glass breakage could infuriate the overall fire dynamics of the enclosed area. Therefore, experimental study and prediction of glass failure become very crucial. The present experimental study focuses on finding the most critical parameter that may quantify the cause of glass failure and further breakage in fallout conditions under varying thermal loads. 45 experiments were carried out on float glass of 300 × 300 mm2 with 4 mm, 6 mm, 8 mm, 10 mm, and 12 mm with continuous fuel supply arrangements. Critical parameters analysed were the time of crack initiation, glass temperature at the time of cracking, maximum temperature difference at glass failure, and thermal strain caused by the temperature difference on the glass surface. The range of minimum and maximum temperature difference recorded on the glass surface for the present study was between 30–35°C and 55–60°C at the breakage time for all the experiments. The Maximum temperature difference measured was 56.99°C on the 12 mm glass surface, and the corresponding maximum thermal strain found was 482 × 10−6 mm/mm. The maximum heat release rate was found to be approximately 200 kW. Maximum heat flux was found in the range of 10.33 kW/m2 to 21.14 kW/m2. A correlation was also developed using the least square method for all the thicknesses, which is well correlated with the glass thickness per unit length.

The aim of this study is to optimize fly ash utilization by combining lime, gypsum, and quarry dust in various proportions to develop fly ash lime gypsum quarry dust (FLGQ) bricks with dimensions of 230 mm × 110 mm × 70 mm, as a potential alternative to traditional bricks. The investigation analysed the compressive strength, split tensile strength, water absorption, density, and initial rate of absorption of FLGQ bricks across different mixes. Mix 9 (M9), comprising of 35% fly ash, 10% lime, 25% gypsum, and 30% quarry dust, exhibited a 15% higher compressive strength (7.2 MPa) and 12% higher split tensile strength (0.85 MPa) compared to the superior conventional brick. Water absorption for M9 was reduced by 18%, enhancing the durability. Prediction models for compressive and split tensile strengths were developed using regression analysis, achieving over 92% accuracy when compared to experimental data at 28 and 56 days. Additionally, a positive correlation was observed between the 14th, 28th, and 56th days results, reinforcing the reliability of predictions in brick compressive strength. These research findings indicate that M9 is superior and more sustainable alternative to traditional bricks, with significant improvements in key performance metrics.

Genotyping is the process of determining the genetic makeup of an organism by examining its DNA sequences using various genetic markers. It has been widely used in various fields, such as agriculture, biomedical and conservation research, to study genetic diversity, inheritance, the genetic basis of disease-associated traits, evolution, adaptation, etc., Genotyping markers have evolved immensely and are broadly classified as random markers (RFLP, RAPD, AFLP, etc.) and functional markers (SCoT, CDDP, SRAP, etc.). However, functional markers are very limited in genotype studies, especially in animal science, despite their advantages in overcoming the limitations of random markers, which are directly linked with phenotypic traits, high specificity, and similar logistic requirements. The current review surveyed the available random and functional markers for genotyping applications, focusing on livestock including plant and microbe domains. This review article summarises the application, advantages, and limitations of developed markers and methods for genotyping applications. This review aims to make the reader aware of all available markers, their design principles, and methods, and we discuss the marker inheritance patterns of RLFP and AFLP. The review further outlines the marker selection for particular applications and endorses the application of functional markers in genotyping research.

IntroductionAnimal models play a vital role in pharmaceutical research and development by supporting the planning and design of later clinical studies. To improve confidence and reliability of first in human dose estimates it is essential to assess the comparability of animal studies with the human situation. In the context of large molecules, it is particularly important to evaluate the cross-species-translatability of parameters related to neonatal fragment crystallizable receptor (FcRn) binding and target mediated drug disposition (TMDD), as they greatly influence distribution and disposition of proteins in the body of an organism.MethodsPlasma pharmacokinetic data of the therapeutic protein efalizumab were obtained from literature. Physiologically based pharmacokinetic (PBPK) models were built for three different species (rabbit, non-human primate (NHP), human). Target binding was included in the NHP and human models. The assumption of similar target turnover and target-binding in NHP and human was explored, to gain insights into how these parameters might be translated between species.ResultsEfalizumab PBPK models were successfully developed for three species and concentration-time-profiles could be described appropriately across different intravenously administered doses. The final NHP and human models feature a common set of parameters for target turnover and drug-target-complex internalization, as well as comparable target-binding parameters. Our analyses show that different parameter values for FcRn affinity are crucial to accurately describe the concentration-time profiles.DiscussionBased on the available data in rabbits, NHP and humans, parameters for FcRn affinity cannot be translated between species, but parameters related to target mediated drug disposition can be translated from NHP to human. The inclusion of additional pharmacokinetic (PK) data including different efalizumab doses would further support and confirm our findings on identifying TMDD and, thus, binding kinetics of efalizumab in NHPs. Furthermore, we suggest that information on target expression and internalization rates could make it possible to develop comprehensive human PBPK models with minimal animal testing. In this project, we compared the pharmacokinetics of a therapeutic protein in rabbit, NHP and human using an open PBPK modeling platform (Open Systems Pharmacology Suite, http://www.open-systems-pharmacology.org). Our findings could support similar translatory studies for first in human dose predictions in the future.

This study investigates the Quincke rolling phenomenon of snowman-shaped colloidal particles. These chiral rollers exhibit individual and collective dynamic states that depend upon the population and driving field strength. In addition to the previously identified dynamic states, such as spinning and vortex states, we identify the standing and bounded motion of the particles. The bounded motion involves the confined orbiting of particles around the center of mass due to hydrodynamic interactions at low particle area fractions. Our findings provide valuable insights into the behavior of active systems and the fabrication of active materials, emphasizing emergent order and adaptability as key guiding principles.

The necessity of motors is proliferating in almost all the modern era applications as the motors play a significant role in lessening the manual labour and minimizing the consumption of time. As the consequence of having many meriting measures like minimal expenditure, substantial efficacy, massive robustness, and uncomplicated structure, the Permanent Magnet Brushless DC (PMBLDC) motor is preferred in this present study. For the target of achieving ripple-free operation, a Bridgeless High-Resolution Pulse Width Modulation (HR PWM) converter is instigated as a replacement of traditional Diode Bridge Rectifier (DBR) in this paper, which assists in procuring the aim of Power Factor Correction (PFC). The regulation of converter output is obtained with the assistance of the Adaptive Cascaded Fuzzy Controller, which optimizes and retains the output as constant. The optimized output is then fed to the motor through a Voltage Source Inverter (VSI). Eventually, the Grey Wolf Optimization (GWO) tuned PI controller is magnificently implemented to manage motor speed regulation without any interruptions or uncertainties. Hence, the introduced approach performs well in ripple suppression, PFC, and torque regulation processes. The utilized converter provides improvised results with the efficiency of 97 %, The entire work is validated through MATLAB simulation and FPGA Spartan 6E in hardware.

Desertification processes in arid, semi-arid, and dry sub-humid conditions have been enhanced in recent decades. The geospatial database and associated satellite data can be effectively employed for regional planning to address desertification and land degradation. In this study, the Mediterranean Desertification and Land Use (MEDALUS) model has been used to map environmentally sensitive areas due to desertification in the Satara and Sangli districts of Maharashtra, India. This was achieved by combining Landsat-8 multispectral data, Census data, soil data, and climatic variables like temperature, rainfall, and evapotranspiration. The algorithm of MEDALUS is the geometric mean of four indicators, namely soil quality index (SQI), climate quality index (CQI), vegetation quality index (VQI), and socio-economic quality index (SEQI). The findings indicated that the majority of the study area comes under the potential category of desertification (60.32%) followed by fragile (27.87%) and critical (11.81%). Areas with a high propensity for desertification were found over the low to very low climatic quality and moderate to high soil quality including lower socio-economic quality. The lower socio-economic quality is mainly due to high to very high population density (>100 people/km2), low to moderate illiteracy rate (

Diaryliodonium(III) salts are versatile reagents that exhibit a range of reactions, both in the presence and absence of metal catalysts. In this study, we developed efficient synthetic methods for the preparation of aryl(TMP)iodonium(III) carboxylates, by reaction of (diacetoxyiodo)arenes or iodosoarenes with 1,3,5-trimethoxybenzene in the presence of a diverse range of organocarboxylic acids. These reactions were conducted under mild conditions using the trimethoxyphenyl (TMP) group as an auxiliary, without the need for additives, excess reagents, or counterion exchange in further steps. These protocols are compatible with a wide range of substituents on (hetero)aryl iodine(III) compounds, including electron-rich, electron-poor, sterically congested, and acid-labile groups, as well as a broad range of aliphatic and aromatic carboxylic acids for the synthesis of diverse aryl(TMP)iodonium(III) carboxylates in high yields. This method allows for the hybridization of complex bioactive and fluorescent-labeled carboxylic acids with diaryliodonium(III) salts.

This research delves into the untapped potential of phosphorous and zinc solubilizing rhizobacteria, known as Zn-P isolates, from wheat rhizosphere inceptisols. A total of thirty rhizosphere soil samples were collected, resulting in recovery of forty unique bacterial isolates. After initial screening, out of forty isolates, recovered on the basis of halozone formation on the nutrient agar medium. four were subjected to biochemical and further molecular identification. Four isolates, identified as Bacillus subtilis (Zn-P-1), Pseudomonas aureginosa (Zn-P-2), Staphylococcus aureus (Zn-P-3), and Methylobacterium organophyllum (Zn-P-4) through a set of 16S rRNA primers, forward (5́- GGATGAGCCCGCGGCCTA-3́) and reverse (5́- CGGTGTGTACAAGGCCCGG-3́), exhibited superior solubilization efficiency of phosphorous and zinc These strains were evaluated via in vitro and pot culture assays. The study found that Zn-P-1 demonstrated the highest zinc solubilization (134.87 mg/l) when ZnO was used as the zinc source as compared to ZnCO3 and Zn-EDTA as also highest at 72.32 mg/l in CaH2PO4 and lowest at 14.44 mg/l with KH2PO4 using P sources, thus highlighting the role of Bacillus in zinc and phosphorous activity with substrate type. The inoculation of tri-calcium phosphate (TCP) and ZnCO3, along with Bacillus and Methylobacterium, led to increased phosphorous and zinc solubilization, uptake, and use efficiency, marking these rhizobacteria as potentially beneficial for nutrient enhancement and PGPR activities in wheat crops grown in inceptisols.

Attention-deficit/hyperactivity disorder (ADHD) describes a heterogeneous condition that has negative consequences for brain neurodevelopment. ADHD individuals have a variety of traits, including inattention, impulsiveness, and hyperactivity. The collection of articles on ADHD was found in Google Scholar, PubMed, and Research Gate and has been selected for consideration based on evidence that, with early therapy and diagnosis, there is potential to change connections between neurons and improve symptoms. Cognitive behavioral therapy is one of the proven, evidence-based therapies for ADHD in teenagers. This review’s main objective is to examine FDA-approved therapy alternatives for ADHD that are both clinical and non-clinical drugs. The dopaminergic and noradrenergic systems in the frontal cortex, as well as the dopaminergic system in the basal ganglia, are the targets of these therapies in children and adolescents. The study also outlines current research problems and gaps in the available data while offering insights into ongoing initiatives to produce new ADHD treatments.

Physiologically based pharmacokinetic (PBPK) modelling is an important tool to predict drug disposition in the body. Rabbits play a pivotal role as a highly valued small animal model, particularly in the field of ocular therapeutics, where they serve as a crucial link between preclinical research and clinical applications. In this context, we have developed PBPK models designed specifically for rabbits, with a focus on accurately predicting the pharmacokinetic profiles of protein therapeutics following intravenous administration. Our goal was to comprehend the influence of key physiological factors on systemic disposition of antibodies and their functional derivatives. For the development of the systemic PBPK models, rabbit physiological factors such as gene expression, body weight, neonatal fragment crystallizable receptor (FcRn) binding, target binding, target concentrations, and target turnover rate were meticulously considered. Additionally, key protein parameters, encompassing hydrodynamic radius, binding kinetic constants (KD, koff), internal degradation of the protein-target complex, and renal clearance, were represented in the models. Our final rabbit models demonstrated a robust correlation between predicted and observed serum concentration-time profiles after single intravenous administration in rabbits, covering IgG, Fab, F(ab)2, Fc, and Fc fusion proteins from various publications. These pharmacokinetic simulations offer a promising platform for translating preclinical findings to clinical settings. The presented rabbit intravenous PBPK models lay an important foundation for more specific applications of protein therapeutics in ocular drug development.

Biopolymer-modified cementitious repair material (CXT) is a composite material designed to enhance the properties of traditional cementitious materials through the incorporation of biopolymers. CXT is formed by blending cement (C) with biopolymers such as xanthan gum (XG) and additives like tartaric acid (TA), which improve the material’s performance characteristics. This study investigates the effects of varying dosages of XG, TA contents, and curing durations on the performance characteristics of CXT. We evaluated key performance indicators, including the flowability, workability, setting time, compressive strength, and shrinkage. The optimal formulation XG 1:2 TA0.6 achieved a maximum compressive strength of 25 N·mm−² and a flexural strength of 9.4 N·mm−², with negligible shrinkage. The results showed rapid early strength development, with the material reaching over 77% of its final compressive strength within the first 14 days. These findings highlight the potential of CXT for crack-repair applications, offering improved workability, accelerated setting times, and reduced environmental impact compared to traditional repair materials. This study provides valuable insights for optimizing the formulation of CXT for enhanced performance in real-world applications.

Aluminium alloy is one of the widely used lightweight materials and is utilized in the production of a wide variety of components. The AA8026 properties enhancements through optimizing the synthesizing parameters through the Taguchi route is the aim of this investigation. Thereby establishing control over the stir casting process to alter the wear and microhardness of AA8026 aluminium alloy by hybrid reinforcement. There were 16 samples of AA8026 + Zr2O3/TiO2 composite prepared as per Taguchi L16 orthogonal array. The process parameters varied four levels such as stirring time from 15 min to 30 min, quantity of reinforcement from 3 wt% to 12 wt%, molten temperature from 750 °C to 900 °C, and stirring speed from 450 rpm to 600 rpm. The fabricated samples are investigated for microhardness and wear properties. From the analysis, it is inferred that stirring speed is highly influenced by wear and microhardness properties. The results exemplify that 0.086 mm3/m was minimum wear and 180.2 HV was maximum microhardness achieved.

This research intends to formulate Ocimum sanctum mediated pure and transition metal (Co2+/Cu2+/Zn2+) doped magnesium oxide nanoparticles (MgO NPs). The cubic structure of so synthesized MgO NPs was confirmed by XRD analysis. As per UV–visible spectral analysis, band gap (Eg) is tuned upon doping; doping with Co, Cu and Zn, their respective Eg are 1.65 eV, 1.96 eV and 3.66 eV in relation to MgO, Eg = 3.50 eV. The average particle size decreased from 17 nm for MgO NPs to 8–13 nm for doped MgO NPs, based on TEM analysis. EDX and XPS analysis verified the presence of Mg, O and dopants, Co, Cu and Zn in synthesized NPs. SEM investigations showed that NPs are agglomerated and spherical. Zn–MgO NPs outperform Co/Cu doped MgO NPs in their photocatalytic efficacy and comparative degradation of methyl orange (MO) and malachite green (MG) dyes confirmed that they are more efficient in degrading MG. Antibacterial investigation revealed that Cu and Zn doped MgO NPs are efficient antibacterial agents against B. subtilis and E. coli than MgO NPs. In this study, Co–MgO NPs were ineffective as antibacterial agents. S. aureus was found resistant to all NPs. Using the DPPH radical scavenging technique, these biosynthesized nanoparticles displayed 62–69 % antioxidant activity.

This study assesses the aerosol optical depth (AOD) from historical simulations (2003–2014) and future climate scenarios (2015–2100) of the Coupled Model Intercomparison Project Phase 6 (CMIP6) over the Middle East and North Africa (MENA) region. Multi-model mean (MME) AOD statistics are generated as the average of those from the five best-performing CMIP6 models, which reproduce observational climate statistics. These models were selected based on the validation of various climate metrics, including strong pattern correlations with observations (>0.8). The resulting MME reproduces the observed AOD seasonal cycle well. The observed positive trends (summer and annual) over the Arabian Peninsula (AP) and negative trends (winter) over North Africa are well captured by MME, as regional meteorological drivers associated with observed AOD trends, with few discrepancies. Crucially, the MME fails to capture the AOD trends over North West Africa (NWA). For MENA and NWA regions, two high-emission scenarios, SSP370 and SSP585, project a continuous rise in the annual mean AOD until the end of the century. In contrast, the low-emission scenarios, SSP126 and SSP245, project a decreasing AOD trend. Interestingly, the projected future AOD area-averaged over the AP region varies significantly across all four scenarios in time. Notably, a substantial decrease of about 8–10% in the AOD is projected by the SSP126, SSP245, and SSP585 scenarios at the end of the century (2080–2100) relative to the current period. This projected decrease in annual-mean AOD, including the frequency of extreme AOD years under SSP585, is potentially associated with a concurrent increase in annual-mean rainfall over the AP.

Due to the dearth of extremely capable, sensitive, and stable catalysts, the efficient detection and catalytic removal of 4-nitrophenol (4-NP) in industrial wastewater remains a serious challenge. The detection and determination of 4-nitrophenol (4-NP) presence in the environment is a matter of paramount importance because it is a high-priority hazardous pollutant that can affect people, animals, and plants. Here, we present a promising and economically viable green synthetic route for fabricating CuFe2O4 and CuFe2O4@Ag hybrid nanocomposites from the leaf extract of Senna didymobotrya. The UV–Vis, FTIR, XRD, FE-SEM, EDXA, BET and VSM analysis were performed to characterize the synthesis of CuFe2O4@Ag nanocomposite. To evaluate the electrocatalytic capacity of CuFe2O4@Ag, electrochemical sensing stratergy was performed with cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The modified CuFe2O4@Ag glassy carbon electrode (GCE) (CuFe2O4@Ag/GCE) demonstrated a linear response in the range of 0.01-15 μg/ml (71 nm-107 μM) and the ability to detect 4-NP at low concentration (0.006 μg/ml (43 nM)). Due to the increased surface area of CuFe2O4@Ag/GCE by ̴ 1.5-fold, a greater cathodic current response (-16 μA/cm2) at a low potential of -0.81 V was observed compared to CuFe2O4/GCE alone for the detection of 4-NP. Additonally, CuFe2O4@Ag showed excellent reduction ability towards 4-NP using NaBH4 with an efficiency of 96.4 % which was higher than the CuFe2O4 (only 87.3 %) in 12 min due to the synergistic relationship among Ag NPs and CuFe2O4 nanostructures. The outcomes from this study shows that the bi-functional electrocatalyst holds vast potential for environmental remediation.

The secondary and tertiary alcohols of terpenes were synthesized from aldehydes, and ketones using allyl magnesium chloride by the continuous metal flow reactor method. The flow process was conducted using metal plate reactors of 10 ml capacity in the presence of solvent mixtures, instead of large amounts of pure solvent like tetrahydrofuran. The products were isolated, and confirmed using gas chromatography and Nuclear magnetic resonance techniques respectively. Subsequently, the optimization studies were conducted to obtain mild, and economical reaction conditions, by varying the amount of allyl magnesium chloride, temperature, pressure, retention time, and flow rates. A comparison between batch processes and flow processes proved the advantages of the flow process in terms of reproducibility and product yield without the requirement of excess reagents compared to the batch process. The product yield was found to be excellent (60–97 %) and reproducible at (1–50) gram scale through flow process. The scope of the reaction was studied by synthesizing terpene alcohols using different carbonyl compounds at optimized reaction conditions, which resulted in high product yield. This research addresses a crucial gap in terpene alcohol synthesis, offering a scalable and environmentally friendly approach with broad applicability.

Abstract This work develops a hybrid active power filter (HAPF) in this article to operate in conjunction with the energy storage system (ESS), wind power generation system (WPGS), and solar energy system (SES). It employs three level shunt voltage source converters (VSC) connected to the DC-bus. Optimization of the gain values of the fractional-order proportional integral derivative controller (FOPIDC) and parameter values of the HAPF is achieved using the Jaya grey wolf hybrid algorithm (GWJA). The primary objectives of this study, aimed at enhancing power quality (PQ), include: (1) ensuring swift stabilization of DC link capacitor voltage (DCLCV); (2) reducing harmonics and improving power factor (PF); (3) maintaining satisfactory performance under different combinations of loads like EV charging load, non linear load and solar irradiation conditions. The proposed controller's performance is evaluated through three test scenarios featuring different load configurations and irradiation levels. Additionally, the HAPF is subjected to design using other optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), and ant colony optimization (ACO) to assess their respective contributions to PQ improvement.

Regular monitoring of physical activities is essential in mitigating the risks associated with diseases like heart problems, obesity, and diabetes. Recent studies have emphasized the significance of Human Activity Recognition (HAR) in tracking physical movements, which aids in enhancing healthcare. The detection of activities could be done by analyzing different patterns and interpreting the signal trends, and variations in the individual performance of activities can lead to inconsistent sensor signals. To address these challenges, this work utilizes Inertial Measurement Unit (IMU) data, converts it into spectrograms through time and frequency analysis, and primarily employs the short-time Fourier transform (STFT) technique. This strategy specifically implements Ghost Neural Network with Fire-Hawk Optimizer (GNet-FHO) to analyze both time-related characteristics from the spectrograms and distinct spatial attributes of each spectrogram. It also effectively identifies spatial correlations among various spectrogram types. Through this method, there is a remarkable improvement in the feature extraction and thereby enhances the accuracy in identifying human activities. Feature selection is done with the help of the FHO, and it is better than the Adam optimizer in context of robust global optimization, effective handling of complex landscapes also the performance is analyzed using the evaluation metrics. Experimental results exhibit that GNet-FHO outperforms other existing algorithms, establishing its efficacy as a lightweight model for human activity recognition. According to our findings, the algorithms demonstrated a success rate of 99.01% and 98.97% when applied to the WISDM smartwatch and smartphone dataset. Additionally, achieved a success rate of 97.6% on the MOTION SENSE dataset and 95.21% on the UCI-HAR dataset. Notably, these findings outperformed those published in previous research that used the identical datasets.

The growing necessity for sustainable agriculture in the face of escalating global food demands and climate change underscores the importance of optimizing crop water usage. Current methodologies for estimating crop water requirements, primarily relying on traditional remote sensing and empirical models, face limitations in precision, adaptability to diverse crop types, and dynamic environmental conditions. This paper introduces an innovative machine learning model designed to accurately estimate crop water requirements and optimize irrigation scheduling using remote sensing data samples. The model’s robustness stems from its sophisticated pre-processing technique, employing a Grey Wolf Optimized (GWO)-based Non-Local Means (NLM) algorithm for denoising images sourced from various remote sensing technologies. Subsequently, these refined images undergo a transformation into multidomain features through the integration of a Vision Transformer, Fourier, Entropy, Color Map, and Gabor Maps. This multi-faceted approach ensures a comprehensive analysis of the data, capturing intricate details pertinent to crop water requirements. A key innovation in our model is the implementation of the Dual Elephant Herding Optimization (DEHO) Process. This optimizer adeptly selects features by minimizing intra-class differences and maximizing inter-class variance, thereby enhancing the model’s discriminative capabilities. The selected features are then classified into distinct irrigation schedule classes using a Deep Dyna Q Graph Convolutional Network (DDQGCN). This network not only augments the efficiency of classifying images from diverse sources but also bolsters the model’s capability to adapt to varying crop types and environmental conditions. The efficacy of the proposed model is further augmented by incorporating vector autoregressive moving average with eXogenous inputs (VARMAx) algorithms. This addition enables the conversion of output into temporal features, facilitating precise predictions of soil quality and the dynamic adjustment of irrigation schedules. Empirical testing of this model across different geographies on mango, rice, and cotton crops demonstrated significant improvements over existing methods. The model exhibited an 8.5% increase in precision, 8.3% in accuracy, 4.9% in recall, 5.5% in Area Under the Curve (AUC), and 4.5% in specificity, alongside a 3.5% reduction in response delays. Particularly noteworthy is the model’s enhanced pre-emption capabilities, reflected in a 2.9% higher precision of pre-emption, 2.5% greater accuracy, 1.5% increased recall, 2.4% higher AUC of pre-emption, 1.5% improved specificity, and a 1.9% reduction in delay compared to existing methodologies.

This article presents a comprehensive design framework and realization approach for a state-of-the-art, compact, ultra-lightweight, highly efficient, cost-effective S-band gallium-nitride (GaN) dual transmit/receive (T/R) module. The T/R module design considers the behavioral model of commercial off-the-shelf (COTS) microwave monolithic integrated circuits (MMIC), insertion characteristics of passive components, and microwave traces. A field programmable gate array (FPGA) based controller board generates the required T/R module controls, timing signals, and DC voltage bias sequencing for the various components. A thermal equivalent circuit model uses thermal conductivity and MMIC/passive components’ heat dissipation to determine the thermal margin for the safe operation of the devices. The thermal analysis determines the most critical competent of the T/R module and cooling mechanism for safe operation. The T/R module is realized using multilayer digital and microwave printed circuit board (PCB) technology and leverages advanced surface mount technology (SMT) manufacturing for low-cost volume production with high repeatability and reliability. In the presented design, two T/R modules are housed in a single thermally efficient Aluminium 6061-T6 enclosure, allowing the sharing of power and control circuits between the two modules to achieve the compact shape and size of the module. The T/R module is realized and evaluated for transmit and receive parameters, i.e., output power, receiver gain, noise figure, power consumption heat dissipation, power added efficiency, band-pass filter response, attenuator and phase shifter error, pulse width, duty cycle, and control timing parameters. The measured results of the T/R module are compared with state-of-the-art T/R modules available in open literature, matching or exceeding the performance. A passive golden reference unit (GRU) is used for mass production of factory-calibrated (phase-matched) T/R modules, which eliminates the requirement of periodic field calibration of the active phased array antenna (assuming uniform aging and environmental factors for produced T/R modules).

Introduction: Oral cancer is a global health challenge. In India, there is a huge burden on the healthcare system. The prevalence of oral cancer globally and in India, coupled with the specific risk factors associated with the Indian population, necessitates targeted research to improve early detection and treatment outcomes. The present study analysed 93 patients with oral cancer over 5 years to determine the incidence corresponding to different stages of the disease. Materials and Methods: This retrospective cross-sectional study reviewed medical records from the hospital database. The epidemiological data included age, gender, tobacco habit, duration of tobacco use, site of the lesions, stages of cancer and the treatment provided. We analysed the relationship of epidemiological characteristics with age by the Chi-square test. The statistical test significance level was set at P < 0.05. Results: The incidences of oral cancer each year range from 8% to 12%. A male patient over 40 years of age was most affected by oral cancer 42 (45.16%). The most affected sites were buccal mucosa 36 (38.70%) and alveolus 33 (35.48%) amongst patients over 40 years of age. The predominant stage for the majority of cancer cases was Stage IV, accounting for 49 cases (52.68%). Additionally, the largest lesions, exceeding 4 cm in size, were observed in 64 cases (68.81%), and these instances were predominantly found in patients aged 40 years or older. Chewing tobacco emerged as a significant contributing factor to cancer, affecting 41 cases (42.08%), particularly among those with a habit duration exceeding 10 years, representing 48 cases (51.61%) in patients aged 40 years or older. Conclusion: There is an urgent need to spread awareness of oral cancer, followed by extensive screening in India. Tobacco in India is not only used widely but also associated with cultural relevance, and it is the need of the hour to implement the tobacco policy to reach out evenly to all communities.

Introduction: Paediatric maxillofacial trauma poses a significant threat to children and their well-being, with increasing incidence globally, particularly in developing nations. This study, conducted over 5 years at a private medical college and hospital in Varanasi, Uttar Pradesh, analysed 225 cases of paediatric maxillofacial injuries, providing a comprehensive overview of incidence, challenges and management strategies. Materials and Methods: The male predominance (2:1 ratio) aligns with existing literature, emphasising the higher susceptibility of boys to traumatic injuries. A concerning 40% of cases involved a loss of consciousness, underscoring the severity of these incidents. Timely medical attention is crucial, as revealed by the finding that approximately 20% of patients sought help more than 24 h after the incident. Results: Head injuries, identified in 35 patients, exhibited a positive correlation with delayed admission times, emphasising the need for prompt evaluation, especially for potential intracranial complications. The study explored causes, with self-falls being the most prevalent (45%), while child abuse instances were absent. Age-specific patterns were noted, emphasising the need for targeted preventive measures. Soft-tissue injuries (58% of cases) were dominated by lacerations and abrasions, with age-specific correlations providing insights for clinicians. Hard-tissue injuries, including dentoalveolar and mandibular fractures (229 cases), showcased a prevalence of displaced fractures, primarily managed conservatively. Surgical interventions, especially open reduction and internal fixation, were common for mandibular fractures. Conclusion: This study contributes nuanced insights into paediatric maxillofacial trauma, informing clinical practices and guiding preventive strategies. Statistically significant associations between various factors offer a foundation for evidence-based practices, ultimately aiming to reduce morbidity and mortality rates in the paediatric population.

In recent years, the research has focused firmly on Autonomous Aerial Vehicles (AAVs) owing to their vast array of potential applications, to aid those applications this study presents a technical approach for source localization and landing trajectory identification for Autonomous Aerial Vehicle (AAV) landing, leveraging computer vision and photogrammetry techniques. The proposed method aims to achieve accurate and robust localization of the landing target area and precise determination of the AAV’s landing trajectory. The source localization module utilizes a computer vision system equipped with onboard cameras and advanced image processing algorithms. The system captures images of the target area and performs feature extraction and matching to estimate the position of the landing target. Additionally, the A* algorithm serves as a pivotal tool in deriving an optimized trajectory by harnessing the relative positions of the Autonomous Aerial Vehicle (AAV) and the designated landing target.

OBJECTIVE: To assess eosinopenia and neutrophil to lymphocyte ratio in patients admitted with COVID-19 infection and correlate with pneumonia severity. METHODOLOGY: This prospective observational study was conducted at Covid HDU of Dr. Ruth KM Pfau Civil Hospital, Karachi, from October - December 2021. Data was collected using convenience sampling. The inclusion criteria were patients between 18-70 years with symptoms suggestive of COVID-19 and positive RT-PCR. Patients with negative RT-PCR with alternate diagnosis, history of using a corticosteroid, pancreatic or esophageal malignancy, and recent burn were excluded. Data analysis was done using SPSS version 23. RESULTS: Out of 141 patients, 66(46%) were classified as non-severe covid and 75(53.9%) as severe covid pneumonia. A significant association between eosinopenia and COVID severity was observed. The NLR was significantly increased in severe COVID patients compared to non-severe patients. Similarly, eosinophil was decreased considerably in severe covid compared to non-severe patients (p-value

In this paper, we introduce and rigorously define a novel class of difference sequence spaces, denoted by wI(M,∆vu,r)αβ, w0I(M,∆vu,r)αβ, w∞I(M,∆vu,r)αβ, and w∞(M,∆vu,r)αβ. These spaces are constructed through the application of the concept of I-convergence of sequences, combined with a Musielak–Orlicz function of order (α, β). The primary focus of our work is to thoroughly investigate the algebraic and topological properties of these defined sequence spaces. We explore their linearity, examine their structure within the framework of paranormed spaces, and analyze various other algebraic characteristics pertinent to these spaces. In addition, we examine the topological nature of these sequence spaces, identifying the conditions under which they exhibit specific topological properties. A significant part of our study is dedicated to examining the inclusion relationships between these sequence spaces, thereby providing a comprehensive understanding of how these spaces are interrelated. Our analysis contributes to the broader field of functional analysis and sequence space theory, offering new insights and potential applications of these advanced mathematical constructs.

We developed a novel chromogenic reagent and sensor by selective approach, for the detection and identification of dichlorvos, which we tested with the thin layer chromatography method. For the first time, we reported in situ-generated glyoxal as a hydrolysis product, which then interacts with isoniazid to produce a yellow-colored cyclic compound. We used well-known spectroscopic techniques to confirm the chemical identity of the final product. We initially investigated the reaction using a variety of approaches, followed by attempts to establish the reaction mechanism using Density Functional Theory by Gaussian software.

Background & Aims: Maintenance of abstinence in alcohol-related liver disease (ARLD) is a major unmet therapeutic need. Digital therapeutics can deliver ongoing behavioural therapy, in real-time, for chronic conditions. The aim of this project was to develop and clinically test AlcoChange, a novel digital therapeutic for ARLD. Methods: AlcoChange was developed using validated behaviour change techniques and a digital alcohol breathalyser. This was an open-label, single-centre study. Patients with ARLD, ongoing alcohol use (within 1 month) and possession of a suitable smartphone were eligible. Patients were recruited from inpatient and outpatient settings, and received AlcoChange therapy for 3 months. The primary outcome was reduction in alcohol use from baseline to 3 months, measured by timeline follow-back. Secondary outcomes included: (i) compliance with the AlcoChange app, (ii) alcohol-related and all-cause hospital re-admissions up to 1 year, (iii) qualitative analysis to determine factors associated with compliance. Results: Sixty-five patients were recruited, of whom 41 completed the study per protocol. Patients compliant with the intervention (>60 logins over 3 months) had a significant reduction in alcohol use from baseline compared to non-compliant patients (median [IQR]: -100% [100% to -55.1%] vs. -57.1% [-95.3% to +32.13%], p = 0.029). The proportion attaining abstinence at 3 months was higher in the compliant group (57.1% vs. 22.2%, p = 0.025). The compliant group had a significantly decreased risk of subsequent alcohol-related re-admission up to 12 months (p = 0.008). Qualitative analysis demonstrated that receiving in-app feedback and the presence of a health-related ‘sentinel event’ were predictors of compliance with the intervention. Conclusions: Use of the novel digital therapeutic, AlcoChange, was associated with a significant reduction in alcohol use and an increase in the proportion of patients with ARLD attaining abstinence. Definitive randomised trials are warranted for this intervention. Impact and implications: Alcohol-related liver disease (ARLD) is an increasing health problem worldwide. The main cause of death and disability in ARLD is ongoing alcohol consumption, but few patients receive medications or talking therapy to maintain abstinence. This study demonstrated that a digital therapeutic, linked to a smartphone, may help reduce alcohol consumption and alcohol-related hospital admissions in these patients. If validated in larger, randomised, trials, digital therapeutics may have a role in the primary and secondary prevention of complicatons from ARLD.

In this current investigation, we elucidated the microwave-assisted green synthesis of 90:10, 80:20, and 70:30 CuO–Co3O4 nanocomposites (NCs) from Ipomoea carnea leaf extract, manifesting their remarkable antibacterial, photocatalytic, and antioxidant capabilities. The spectroscopic techniques of XRD, SEM, EDX, TEM, FTIR, and UV–visible spectroscopy were employed to validate the formation of the synthesized NCs. SEM and TEM images revealed distinctive snowball-rod and distorted spherical structures in the synthesized nanocomposites, with average particle sizes of 33.36, 26.17, and 29.10 nm. The estimated energy band gap values were 1.20, 1.40, and 1.50 eV for the respective nanocomposites. The well diffusion method was utilized to explore the zone of inhibition (ZOI) against bacteria, namely Bacillus subtilis, Staphylococcus aureus, and Escherichia coli. The nanocomposites, specifically the 90:10 and 80:20 CuO–Co3O4 blends, exhibited a noteworthy Zone of Inhibition (ZOI) during testing against B. subtilis, with approximate values of 34.76 ± 0.23 and 33.33 ± 0.32 mm, respectively. Furthermore, the photocatalytic potential has been investigated against the dyes Malachite green (MG) and Congo red (CR). Notably, the 90:10 NCs displayed an exceptional photodegradation rate of 97.69 % for MG and 95 % for CR within a mere 45 min. Moreover, the 70:30 NCs exhibited a commendable radical scavenging activity of approximately 97.53 % at a concentration of 800 μg/mL, while ascorbic acid, used as a standard, displayed a scavenging activity of 98.63 %. These investigations unveil the environmentally friendly, innovative, and cost-effective attributes of CuO–Co3O4 NCs derived from Ipomoea carnea leaf extract, which demonstrated excellent antibacterial, photocatalytic, and antioxidant properties.

The present investigation was undertaken at the Hybrid Rice plot of TCA, Dholi, and Muzaffarpur, and molecular analysis was conducted in the Molecular Laboratory of Postgraduate Dept. of Genetics & Plant Breeding, RPCAU, and Bihar to generate heterosis studies for 18 traits and molecular characterization using SSR markers. The experimental material comprised 31 three-line rice hybrids and 3 commercial checks evaluated in the RBD design. Among the tested varieties, Rajendra Sweta performed best in terms of grain yield per plant. Two rice hybrid genotypes, namely, IR68897A × KMR-3R and Rajendra-3A × RRR–4, exhibited superior standard heterosis over all three tests for trait grain yield per plant. By utilizing 12 primer pairs, a total of 33 shared alleles and 13 unique alleles were produced as amplified products. Among the 12 primers, seven primers were found to be comparatively informative for all nineteen hybrids and eleven parents. Only five primers, namely, MRG2894, RM515, RM520, RM538, and RM555, were able to confirm the hybridity (F1) with the respective parental lines.