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Purpose This study aims to assess the impact of participation in self-help group (SHG) on the psychological empowerment of rural tribal women. Design/methodology/approach Primary data was collected using multistage random sampling from the rural women of Jharkhand, India. The propensity score matching method was adopted using the psmatch2 command in STATA. Findings The results show a significant positive change in women’s self-esteem, self-confidence, self-efficacy, autonomy, knowledge and skills, reduction in agony and quality of life after participation in SHG. This reveals that participation in SHG has a significant positive impact on the psychological empowerment of rural tribal women. Originality/value Despite the numerous studies on rural women’s empowerment, there is little evidence of literature focusing on the impact of participation in SHG on psychological empowerment, specifically in the tribal context. This study primarily focuses on women belonging to the scheduled tribe category of Jharkhand, one of the poorest states of India.

Cereal grains are frequently attacked by microorganisms and insects during storage and processing, which negatively affects their quality, safety, and market value. Therefore, protecting stored grains from microbial contamination is crucial for food industries, farmers, public health associations, and environmental agencies. Due to the negative impact of synthetic gray chemicals, antimicrobial plant-based essential oils (EOs) can serve as alternative, safer, environmentally friendly preservatives that can prolong the shelf life of cereals. However, high volatility, low solubility, hydrophobicity, and quick oxidation limit their practical applicability. Using nanotechnology for the nanoencapsulation of EOs into polymeric matrices allows sustained release and ensures targeted delivery without significantly altering the organoleptic attributes of cereals, making EOs a new-generation green preservative. This ultimately overcomes the challenges of practical applications. The application of nanoencapsulated EOs in grain storage provides an effective and novel defense against microbes, insects, and other contaminants. Hence, the current review thoroughly examines the preservative potential of nanoencapsulated EOs in terms of antimicrobial and insecticidal efficacy for protecting stored cereal grains. It also highlights the challenges encountered during application and the safety concerns of using nanoencapsulated EOs in protecting cereal grains during post-harvest storage.

Implementation of monitoring strategy for increasing the efficiency of groundwater pollutant source characterization is often necessary, especially when only inadequate and arbitrary concentration measurement data are initially available. Two main parameters that need to be estimated for efficient and accurate characterization of groundwater pollution sources are: location of the source and the time when the source became active. Complexities involved with the explicit estimation of the time of start and source activity have not been addressed so far in previous studies. The main complexity arises due to the fact that the spatial location and time of activity are inter-related. Therefore, specifying one and solving for the other simplifies the source characterization problem. Hence, in this study, both the source location and time of initiation are treated as unknowns. The developed methodology uses dynamic time warping distance in the linked simulation-optimization model to address some complex issues in designing a monitoring network to efficiently estimate source characteristics including the time of first activity of unknown groundwater source. Performance of the developed methodology is evaluated on illustrative contaminated aquifer. These evaluation results demonstrate the potential use of the developed methodology.

Purpose. Since February 2020, the world has been overwhelmed by the SARS-CoV-2 outbreak, and several patients suffered interstitial pneumonia and respiratory failure requiring mechanical ventilation, threatening the capability of healthcare systems to handle this amount of critical cases. Intravenous immunoglobulins (IVIG) possess potential immunomodulatory properties beneficial for COVID-19 patients, yet evidence supporting IVIG as adjunctive therapy remains sparse. This study evaluated the outcomes of adjunctive IVIG with the standard of care (SoC) in moderate-to-severe COVID-19 patients. Methods. This randomized study included 59 moderate-to-severe COVID-19 patients with known comorbidities. One arm (n = 33) received high-dose IVIG (400 mg/kg/day) within 48 hours for five days alongside SoC, while the other arm (n = 26) received SoC, comprising steroids, enoxaparin, and remdesivir. The primary endpoint was clinical improvement, as measured by the National Early Warning Score 2 (NEWS2) and discharged/death proportions. Secondary outcomes included IVIG safety, hospitalization duration, changes in oxygen saturation, inflammatory markers, IgG titer, CTSS (CT severity score), and radiological findings. Results. There was an improvement in the NEWS2 at the end of treatment in the IVIG arm (5.67 vs. 5.96). A significant absolute effect improvement (Day 1 vs. Day 9) was seen in serum LDH, D-dimer, hs-CRP, IL-6, CTSS, procalcitonin, respiratory rate, and chest radiographic findings. SARS-CoV-2 IgG titer increased significantly in the IVIG arm. There was a statistically significant reduction in mortality in the IVIG group (5 vs. 10). Conclusion. IVIG was a safe and effective adjunctive therapy to SoC treatment in moderate-to-severe COVID-19 patients needing ventilatory support. Furthermore, studies are required to validate our findings. This trial is registered with CTRI/2021/05/033622.

Major depressive disorder (MDD) is widely prevalent and one of the leading causes of disability. Treatment outcomes remain suboptimal with 1 in 3 patients with MDD responding inadequately to commonly used antidepressants. Pimavanserin, an atypical antipsychotic that modulates serotonergic neurotransmission by selectively binding to serotonin receptor (2A and 2C) subtypes and without dopaminergic activity, may have the potential as an adjunctive treatment for MDD. In a phase 2 trial (n=203), addition of pimavanserin, as compared to placebo, to stable treatment with antidepressants was associated with greater reduction in 17-item Hamilton Depression Rating Scale score [HAMD, least square means (95% confidence interval) of -1.7 (-0.03, -3.37), p=0.039]. Furthermore, treatment with pimavanserin was associated with significantly greater improvement in specific symptoms associated with depression such as impaired sexual function, anxiety, sleepiness, and irritability. However, the availability of pimavanserin for clinical care of patients with MDD remains uncertain. Top-line results of phase 3 studies (n=298) that were announced by the sponsor found similar reductions in HAMD (mean baseline-to-week-5 reduction of 9.0 and 8.1, p=0.296) and rates of adverse events (58.1% and 54.7%) with addition of pimavanserin and placebo respectively to stable treatment with antidepressants. Given the potential benefit for specific symptoms such as impaired sexual function, anxiety and sleep/wakefulness disturbances, future studies that enrich for these symptoms may be needed to clarify the utility of adjunctive pimavanserin in treatment of patients with MDD.

Background Cocaine and methamphetamine use disorders (CcUD/MtUD) have serious public health, medical, and psychiatric consequences. Yet, there are no U.S. Food and Drug Administration (FDA) approved treatments available. The STIMULUS study is a multi-site trial, sponsored by the National Drug Abuse Treatment Clinical Trials Network (CTN), that aims to investigate the feasibility and preliminary efficacy of repetitive transcranial magnetic stimulation (rTMS) as a potential treatment for moderate to severe CcUD/MtUD. Methods The study is a double-blind, sham-controlled trial seeking to recruit 160 participants with a current moderate to severe CcUD or MtUD diagnosis, randomized to receive active rTMS (10-Hz stimulation at 120% motor threshold over the left dorsolateral prefrontal cortex) or sham. Feasibility is assessed by a target of at least 20 treatment sessions administered within an 8-week period. Additionally, the study aims to evaluate the efficacy of rTMS in reducing stimulant use and craving, the impact of rTMS on mood, anxiety, sleep, and other measures, and the utility of electroencephalography as a treatment response biomarker. Discussion Studies exploring rTMS for stimulant use disorders remain limited by small sample sizes, as well as great heterogeneity in defined study population, treatment parameters, retention in treatment, and number of sessions. In this paper, we highlight key study design decisions, such as safety, sham procedure, and schedule flexibility. Conclusion We hope that the data collected will lay the groundwork for a robust randomized controlled trial of rTMS as a therapeutic intervention for individuals with CcUD/MtUD. Trial registration http://www.ClinicalTrials.gov . Identifier: NCT04907357. Trial data set https://clinicaltrials.gov/study/NCT04907357?tab=table . Protocol Version 7.0, 11/10/2023.

Recent developments in wireless sensor networks include their applications in safety, medical monitoring, environment monitoring and many more. Limited battery energy and efficient data delivery are most considered constraints for sensor nodes. Depletion of node battery ceases functioning of the node. The network lifetime can be enhanced with the help of Multi-Layer protocol (ML-MAC). This paper presents a practical approach including 3-dimensional deployment of sensor nodes and analyzes two different types of networks – homogeneous and heterogeneous WSNs. To analyze various QoS parameters, two types of nodes are considered in a heterogeneous network. The performance of both the networks is compared through simulations. The results show that ML-MAC performs better for a 3D heterogeneous WSNs.

PurposeThe present study investigates the role of social capital in promoting sustainable livelihood amongst indigenous women in India. The study further analyses the mediation effect of women entrepreneurship between social capital and livelihood promotion.Design/methodology/approachStructure equation modeling has been used to empirically examine the effect of social capital in promoting sustainable livelihood. The study has collected 612 samples from indigenous women entrepreneurs across Sundargarh and Koraput districts in Odisha.FindingsThe result highlighted the extensiveness of indigenous women entrepreneurs, who utilized their social capital to improve enterprise performance and livelihood conditions. It is witnessed that social capital has a direct and positive effect on uplifting the living standards of indigenous women. Furthermore, women entrepreneurship mediates the relationship between social capital and livelihood promotion of indigenous women.Practical implicationsThe decision-makers, policy practitioners and government agencies must encourage more women's self-help groups to participate in entrepreneurial activities by utilizing social capital through government welfare programs.Originality/valueThe present study adds value to the existing literature on social capital, women entrepreneurship and sustainable livelihood by measuring the importance of social capital in achieving sustainable livelihood. This study will add knowledge to the existing theories and literature of social capital on its use and importance towards the benefit of society.

Purpose This study aims to investigate the impact of financial inclusion in promoting sustainable livelihood among indigenous women entrepreneurs. Moreover, the study has also examined the mediating role of microentrepreneurship between financial inclusion and sustainable livelihood. Design/methodology/approach Structure equation modeling has been used to analyze the mediating effect of microentrepreneurship between financial inclusion and sustainable livelihood development. In total, 598 samples of indigenous women across the Sundargarh and Mayurbhanj districts in Odisha are used for the statistical data analysis in the study. Findings The results showed that financial inclusion has direct and indirect effect on promoting sustainable livelihood among indigenous women. The results also highlighted that microentrepreneurship significantly mediates the relationship between financial inclusion and sustainable livelihood. Practical implications The Government of India should formulate policies on financial inclusion by reviewing the findings of this study. In addition, to increase the base of microenterprises and the achievement of sustainable livelihood in rural regions, more focus should be given toward the promotion of inclusive finance among indigenous women in India. Originality/value The present idea has not been discussed or explored earlier among the indigenous communities in the Indian context. So, the study will benefit the marginalized groups of women in promoting their livelihood sustainably.

Time synchronization between sensor nodes to reduce the end-to-end delay for critical and real time data monitoring can be achieved by cautiously monitoring the mobility of the mobile sink node in underwater wireless sensor networks. The Alive-in-Range Medium Access Control (ARMAC) protocol monitors the delay of sensitive, critical and real-time data. The idea evolves as it involves reduction in duty cycle, precise time scheduling of active/sleep cycles of the sensors, monitoring the mobility of the sink node with the selection of appropriate queues and schedulers. The model for the path loss due to attenuation of electromagnetic wave propagation in the sea water is explained. The three-path reflection model evaluating reflection loss from the air-water and watersand interfaces as a function of distance between sensors and water depth is introduced. The algorithms for effective path determination and optimum throughput path determination are elaborated. The results verify that implementation of the Alive-in-Range MAC protocol has reduced the total number of packets dropped, the average queue length, the longest time in queue, the peak queue length and the average time in queue significantly, making it relevant for critical and real-time data monitoring.