This article examines Ling Ma’s short story “G” from Bliss Montage by focusing on invisibility as a literary device through which female bodily freedom, friendship, and self-erasure are simultaneously imagined. In the story, G is a drug that makes its users invisible. At first, invisibility appears as a fantasy of bodily release: the narrator feels light, unburdened, and temporarily free from the visual discipline attached to femininity. Yet the story gradually complicates this fantasy. The ritual of taking G requires the removal of makeup, clothing, and personal objects, revealing how the female body is normally organized through visibility, surfaces, and social evaluation. As the narrator and Bonnie move through restaurants, streets, stores, and Central Park, invisibility allows them to disturb consumer spaces and ordinary social order, but it also produces anxiety about disconnection and disappearance. Their need to hold hands shows that the invisible body still requires relational anchoring. The final movement from “gravity” to “ghost” transforms G from a tool of escape into a sign of self-erasure. Through close reading informed by feminist theories of the body and visibility, this article argues that “G” presents invisibility as an ambivalent condition: it grants a temporary freedom from being seen, but also exposes the risk of becoming socially, physically, and affectively ungraspable.

Antimicrobial resistance, strict regulations on the use of antibiotics in livestock and consumer preference for sustainable livestock products have once again drawn attention to the role of medicinal plants as complementary or alternate means of treatment in the veterinary field. This review consolidates evidence from 151 peer-reviewed articles in order to critically analyze the possibilities in the use of phytomedicines in the context of One Health through an analysis of its therapeutic possibilities, disease management roles and even the conservation aspect. The history and ethnobotany behind the use of plants in animal therapy is explored, along with the pharmacology behind the major bioactive principles alkaloids, flavonoids, terpenoids, essential oils and tannins discussing their mode of action that include cell membrane disruption, efflux-pump inhibitors, quorum-sensing inhibitors and immune modulation. Specific examples exist from studies involving species across livestock, companion and aquatic animals as well as captive and free-ranging wildlife that show antimicrobial, antiparasitic anti-inflammatory and wound healing properties, among others, with multi-target effects suggesting a possible approach for minimizing resistance development. The review highlights the trade-offs associated with the exploitation of botanical resources, focusing on conservation practices through cultivation efforts and community management, as well as current barriers to the development of plant medicine, which include lack of standardization, pharmacokinetic information, clinical studies and regulation. The review highlights that for moving forward from using veterinary phytotherapeutics in an empirical way to applying them scientifically, there is a need for concerted efforts toward conducting proper clinical trials, pharmacology research on animals, toxicity testing and regulation of the use of medicinal plants.

This study compares the impact of migration on rural employment in Nigeria and India from 2005 to 2023, exploring its impact on the global economy. Using a dynamic panel Generalized Method of Moments (GMM) model with the Arellano-Bond estimator, the analysis covers 34 observations across two countries, sourced from the World Bank, Nigeria’s National Bureau of Statistics, and India’s Periodic Labour Force Survey. Rural employment rate is the dependent variable, with migration rate as the key independent variable, alongside controls for rural population, foreign direct investment (FDI), and agricultural output. Findings indicate that, a 1% increase in migration reduces rural employment by 1.5% (p < 0.05), driven by labor supply declines in Nigeria (1.2% to 1.6%) and India (0.4% to 0.55%). Rural population and agricultural output positively influence employment, while FDI shows a negative effect due to urban bias. Globally, Nigeria’s remittances (6% of GDP) and India’s urban productivity enhance international labor markets and supply chains, contributing to a $2 trillion economy. Policy recommendations include rural job creation through agricultural technology, economic zones in India, remittance-funded entrepreneurship in Nigeria, and FDI targeting rural development.

The transition toward carbon-neutral chemical manufacturing requires catalytic systems that can convert abundant waste molecules into value-added chemicals under mild, renewable-energy-driven conditions. Single-atom electrocatalysts (SAECs), featuring isolated metal centers anchored on tailored supports, offer maximum atom utilization, tunable coordination environments, and well-defined active sites for complex multielectron reactions. This review critically examines the emerging role of artificial intelligence in accelerating the discovery, optimization, and mechanistic understanding of SAECs for carbon dioxide electroreduction and green ammonia synthesis through nitrate conversion. First, fundamental design principles are discussed, including metal–support interactions, coordination engineering, electronic-structure modulation, and stability limitations. Next, machine learning, density functional theory integration, high-throughput screening, explainable descriptors, and self-driving laboratory concepts are evaluated as tools for rational catalyst development. Particular emphasis is placed on CO₂ valorization pathways toward CO, formate, hydrocarbons, and alcohols, together with nitrate-to-ammonia conversion as a sustainable nitrogen-recycling strategy. Advanced in situ/operando characterization, performance benchmarking, selectivity control, and degradation mechanisms are also assessed. Finally, this review highlights current barriers related to data quality, catalyst durability, reactor design, product separation, techno-economic feasibility, and industrial scale-up. The article provides a forward-looking framework for integrating AI, atomically precise catalysis, and renewable electrosynthesis in future sustainable chemical manufacturing.

Background: Preterm neonates with perinatal asphyxia are at high risk of seizures, yet optimal first-line anticonvulsant therapy remains uncertain. Phenobarbitone has traditionally been used but carries significant adverse effects, while levetiracetam offers a potentially safer alternative. This study compared the efficacy and safety of levetiracetam versus phenobarbitone in preterm neonates with post-asphyxial seizures. Methods: This open-label randomized controlled trial enrolled 72 preterm neonates (31 to <37 weeks gestation) with convulsions due to perinatal asphyxia (HIE stage II/III). Neonates were randomized to receive either intravenous levetiracetam (20 mg/kg loading, 10 mg/kg/dose 12 hourly maintenance) or phenobarbitone (20-40 mg/kg loading, 5 mg/kg/day maintenance). Primary outcomes included seizure control, time to seizure cessation and adverse effects. Results: Seizure control with monotherapy was significantly higher in the levetiracetam group (72.22%) compared to phenobarbitone (44.44%) (p=0.004). The need for additional anticonvulsants was substantially lower in the levetiracetam group (27.78% vs. 55.6%, p=0.004). Seizure control within 12 hours was achieved in 83.33% of levetiracetam-treated neonates versus 50.0% in the phenobarbitone group (p=0.039). Adverse effects occurred significantly less frequently with levetiracetam (5.56% vs. 27.78%, p=0.024), with somnolence being the most common adverse effect in both groups. Conclusion: Levetiracetam demonstrated superior efficacy with more rapid seizure control and a significantly better safety profile compared to phenobarbitone in preterm neonates with post-asphyxial seizures. These findings support levetiracetam as a favorable first-line agent in this vulnerable population.

Advanced multifunctional nanomaterials are emerging as versatile platforms for addressing interconnected energy and environmental challenges through tunable composition, high surface area, engineered interfaces, and nanoscale reactivity. This review critically examines the design, synthesis, functionalization, and application of metal, metal oxide, carbon-based, polymeric, porous, two-dimensional, and hybrid nanomaterials. Particular emphasis is placed on green synthesis, renewable precursors, low-impact fabrication, waste-derived feedstocks, scalability, and life-cycle sustainability. The role of surface functionalization, heteroatom doping, defect engineering, heterostructure formation, and interfacial charge transfer in controlling catalytic, optical, electrochemical, and adsorption properties is systematically discussed. Applications in heterogeneous catalysis, photocatalytic hydrogen production, carbon dioxide conversion, pollutant degradation, rechargeable batteries, supercapacitors, and emerging flexible storage devices are evaluated using structure–property–performance relationships. The review also explores nanomaterial-enabled water purification, membrane separation, antimicrobial treatment, and chemical, electrochemical, optical, and gas sensing, including integrated remediation–sensing platforms for real-time monitoring. Current barriers involving toxicity, agglomeration, instability, poor selectivity, recovery, reproducibility, standardization, and industrial scale-up are identified. Finally, future directions highlight artificial-intelligence-guided discovery, operando characterization, circular material design, self-healing systems, and safe, economical deployment, establishing a unified roadmap for sustainable multifunctional nanotechnology across energy conversion, storage, environmental remediation, and chemical detection under realistic operating conditions and across diverse environmental matrices worldwide.

This study examines the influence of transformational leadership style and regulatory policies on banking performance in South Sudan, using Cooperative Bank, Ecobank, and the National Bank of Egypt in Juba as case studies. The study was motivated by persistent challenges affecting the banking sector, including macroeconomic instability, shortages of foreign and local currency, liquidity constraints, weak regulatory enforcement, inadequate corporate governance, and declining customer confidence. Specifically, the study sought to examine the influence of transformational leadership on banking performance, assess the effect of regulatory policies on commercial bank performance, and determine the relationship between transformational leadership, regulatory policies, and banking performance. Guided by transformational leadership and institutional theories, the study adopted a positivist paradigm and a quantitative cross-sectional survey design. Data were collected from a sample of 96 employees selected from a target population of 157 using structured questionnaires. The collected data were analyzed using the Statistical Package for the Social Sciences (SPSS) Version 26 through descriptive statistics, Pearson Product-Moment Correlation, and Multiple Linear Regression Analysis. The findings revealed strong, positive, and statistically significant relationships among transformational leadership, regulatory policies, and banking performance, with Pearson correlation coefficients ranging from 0.556 to 0.970 at p < 0.01. Transformational leadership practices, including strategic vision, employee motivation, innovation, and organizational commitment, significantly enhanced banking performance. Likewise, regulatory policies relating to Basel III compliance, corporate governance, risk management, and regulatory oversight significantly improved profitability, operational efficiency, institutional stability, and asset quality. The study concludes that transformational leadership and effective regulatory policies are complementary drivers of banking performance are critically required. It recommends strengthening leadership development, regulatory compliance, corporate governance, and risk management frameworks to enhance institutional resilience and promote sustainable banking sector growth in South Sudan.

Background: Rogamarga is one of the fundamental principles in Ayurveda that describes the pathway or site of disease manifestation. Madhyama Rogamarga comprises of Marma, Asthi, and Sandhi. It encompasses a wide spectrum of clinical conditions mainly involving vital structures, bones, joints, movement, and functional activity. Although classical texts describes diseases associated with Madhyama Rogamarga, clinical evidences regarding the predominance of individual symptoms/manifestations remains limited. Objective: To identify and assess the most predominant clinical manifestations in participants affected with Madhyama Rogamarga diseases. Materials and Methods: A cross-sectional observational study was conducted among patients attending the OP, IP & Medical camps of Sri Sri College of Ayurvedic Science and Research Hospital, Cuttack, Odisha. Eligible participants were assessed using structured questionnaire developed following an extensive review of Ayurvedic literature and validated by experts of Ayurveda Siddhanta and Samhita. A total of 511 participants were screened, out of which 320 were identified with Madhyama Rogamarga involvement. Clinical manifestations were analysed using descriptive statistics, and frequencies and the percentages were calculated. Results: Among the 320 participants with Madhyama Rogamarga involvement, Sthambha was observed as predominant manifestation (61.3%), followed by Cheshtanasha (42.8%), Shotha (26.3%), Janusandhi Shula (25.6%), and Katishula (23.1%). Sthambha was seen a nearly comparable distribution between mild (31.6%) and moderate (29.7%) grades. Conclusion: Sthambha was the most predominant clinical manifestation among participants affected with Madhyama Rogamarga, followed by Cheshtanasha, Shotha, Janusandhi Shula, and Katishula. Systematic assessment of these clinical manifestations helps for a clearer clinical understanding and characterization of Madhyama Rogamarga.

Background and Clinical Significance: Low NIHSS strokes with large vessel occlusion (LVO) may initially appear benign despite a substantial risk of early neurological deterioration (END). Nearly one-quarter of patients with mild ischemic stroke have underlying LVO. The role of reperfusion therapies in this setting remains controversial, making therapeutic decision making particularly challenging. Case Presentation: A 41-year-old woman presented with acute left hemiparesis upon awakening. Initial neurological examination revealed a National Institutes of Health Stroke Scale (NIHSS) score of 6. CT angiography demonstrated M1 occlusion of the right middle cerebral artery (MCA). However, complete spontaneous resolution of the neurological deficits occurred within minutes, resulting in an NIHSS score of 0. MRI performed 6.5 hours after symptom discovery revealed a small right insular infarction with persistent distal M1 occlusion. Cardiac investigations revealed atrial fibrillation associated with severe rheumatic mitral stenosis. Considering the complete clinical recovery and uncertain benefit-risk balance of reperfusion therapy, conservative management with early anticoagulation was chosen. The patient was discharged with a modified Rankin Scale (mRS) score of 1, which remained stable at 3-month follow-up. Conclusion: Minor strokes associated with LVO remain a major therapeutic dilemma because the indication for reperfusion therapy remains debated. Current evidence suggests that management should be individualized and guided by clinical presentation, advanced imaging findings, and predictive markers of early neurological deterioration.

The Purpose of the study was to find out the effects of exercise order in a resistance training exercise session on selected speed related variables among women athletes. For this purpose, forty-five (N=45) women athletes who were participated in the inter collegiate athletic meet in Bharathidasan University, Tiruchirappalli, Tamil Nadu, India during the year 2025-2026 were randomly selected as subjects. The age of the subjects was ranged from 18 and 21 years. The subjects were divided into three groups of fifteen in each (n=15). Group-I underwent Large and Progressed toward Small Muscle group Exercises (LG-SM) and Group-II underwent Small and Advanced to Large Muscle group Exercises (SM-LG) and group –III was act as the Control group (CG). Experimental groups underwent their training programme for 12 weeks in addition to the training program designed by the college curriculum. The control group was no underwent any specific training. Speed, Stride Length and Acceleration Speed were selected as dependent variables. Speed and Stride Length were assessed by 50 Meters Sprint Test; and Acceleration Speed was measured by 30 Meters Acceleration Sprint Test. The data collected data from the three groups prior to and immediately after the training programme on the selected criterion variables were statistically analyzed with dependent ‘t’ test and Analysis of Covariance (ANCOVA). Whenever the ‘F’ ratio for adjusted posttest means was found to be significant, Scheffe’s test was followed as a post hoc test to determine which of the paired mean differences were significant. In all the cases 0.05 level of confidence was fixed as a level of confidence to test the hypotheses. The results of the study showed that there was a significant difference was found among the experimental groups. Small and advanced to large muscle group exercises (SM-LG) group is found to be better than other groups in developing Speed, Stride Length and Acceleration Speed.

Background: Anaemia is a common and clinically significant complication of chronic kidney disease (CKD) that contributes to cardiovascular morbidity and accelerated disease progression. Diabetes mellitus (DM), a leading cause of CKD has been independently associated with a higher prevalence and greater severity of anaemia. Objective: To compare the prevalence and severity of anaemia between diabetic and non-diabetic CKD patients and to identify independent predictors of moderate-to-severe anaemia in this population. Methods: This comparative cross-sectional study was conducted in the Department of Nephrology, Tangail Medical College and Hospital, Tangail, Bangladesh, from June 2024 to May 2025. A total of 348 patients with CKD were enrolled, including 174 diabetic CKD patients and 174 age- and sex-comparable non-diabetic CKD patients. Anaemia was defined according to World Health Organization (WHO) sex-specific hemoglobin (Hb) cut-offs (<13 g/dL in males and <12 g/dL in females) and further classified as mild, moderate or severe. Data were analyzed and compared by statistical tests. Results: Diabetic CKD patients were significantly older (59.2±10.2 versus 55.8±11.7 years; p= 0.005) and had a more advanced CKD stage distribution (56.9% versus 42.5% in Stage 4-5; p<0.001). Mean hemoglobin was significantly lower in the diabetic group (10.04±1.89 versus 11.16±2.04 g/dL; p<0.001), and anaemia was significantly more prevalent (87.4% versus 71.3%; p<0.001), with a significant shift toward moderate-to-severe grades (48.9% versus 27.6%; p<0.001). Diabetic status remained an independent predictor of moderate-to-severe anaemia after adjustment for CKD stage, age and disease duration [adjusted odds ratio (AOR) 2.24, 95% CI 1.36–3.68; p= 00.001], with CKD Stage 4-5 the strongest predictor (AOR 6.32, 95% CI 3.81–10.48; p<0.001). Conclusion: Diabetic CKD patients demonstrated significantly higher prevalence and severity of anaemia than non-diabetic CKD patients, which is independent of CKD stages. Routine, regular hemoglobin screening should be incorporated into the clinical management of diabetic CKD patients.

This review synthesizes evidence on the effectiveness of the World Athletics Kids’ Athletics Programme in improving motor competence, physical fitness and psychosocial outcomes among school-aged children (typically aged 6–12 years). The results indicate consistent positive effects of the programme on running speed, agility and object control skills compared to standard physical education or no intervention, with small-to-medium effect sizes. Evidence for improvements in cardiorespiratory fitness and upper-body strength was less robust, with mixed findings. Psychosocially, the programme demonstrated moderate improvements in enjoyment of physical activity and perceived athletic competence, but no significant effects on long-term behavioural outcomes such as sustained participation. Heterogeneity in intervention duration (4–24 weeks), delivery agents (teachers vs. coaches), and outcome measures limited the comparability of some findings. Overall, the World Athletics Kids’ Athletics Programme appears effective for enhancing selected motor and physical fitness components and fostering positive attitudes towards running-based activities in the short term, though longer-term and psychosocial impacts remain less certain. High-quality, cluster-randomized trials with follow-up assessments are needed to strengthen the evidence base.

Social media has become deeply integrated into students’ daily lives, extending beyond social use into informal academic practices, including self-assessment. This study examines how EFL students at a university use social media to assess their own academic abilities, the extent to which they engage in academic social comparison through these platforms, and the difficulties they encounter in doing so. A mixed-methods approach was employed, using an online questionnaire comprising closed and open-ended questions administered to 133 students. Quantitative findings revealed that the majority of students used social media for academic self-assessment on a frequent basis, with YouTube and WhatsApp emerging as the most commonly used platforms. While social comparison was a common practice among students, it was not strongly associated with increased motivation or academic confidence. Qualitative findings further revealed that students primarily used social media for comprehension checks, language practice, and peer feedback, while also reporting challenges related to distraction, unreliable information, and negative social comparison. These findings suggest that social media functions as an informal, self-directed space for academic self-assessment, one that offers meaningful opportunities for reflection and feedback but also carries risks that may undermine effective learning if left unaddressed. The study is limited by its focus on EFL students at a single university and its reliance on self-reported data, and future research should extend to larger, more diverse samples across multiple institutions and disciplines. The findings nonetheless highlight the need for greater digital literacy support and suggest that educators consider ways to intentionally integrate informal social media practices into formal academic guidance.

Withaferin A (WA), a bioactive compound derived from the Ashwagandha plant, has been recognized for its anticancer properties. We tested various concentrations of WA, Fluvastatin (FLU), and their combinations (ranging from 0 to 160 µM) for their potential regulatory effects on colon cancer cells (Caco-2 cell line) and non-tumorigenic colon cells (NCM-460). Our results showed that at lower concentrations (around10 µM), WA significantly impacted colon cancer cells, showing minimal toxicity to normal cells (NCM-460). However, at higher concentrations, FLU selectively inhibited cancer cell proliferation, with noticeable toxicity to both cancerous and normal cells. Additionally, WA treatment led to a time and dose-dependent decrease in the production of IL-1β and TNF-α. Along with these effects, the downregulation of ERK and EGF gene expression was observed across all treatments. Additionally, docking analysis revealed the potential regulatory role of WA and its interaction with aspartate aminotransferase, in comparison to the docking data for FLU, which serves as a standard inhibitor for aspartate aminotransferase. These findings suggest that WA can inhibit cell proliferation signaling by targeting ERK and EGF, thereby promoting programmed cell death (PCD) in treated cells. These data also demonstrate that WA, whether alone or in combination with other compounds, can regulate the production of pro-inflammatory cytokines in treated cells.

Background: Artificial intelligence (AI), particularly convolutional neural networks (CNNs) and vision transformers (ViTs), is transforming dental radiographic diagnosis across multiple clinical domains. Methods: A narrative review searched PubMed, PubMed Central, BMC Oral Health, and Google Scholar for systematic reviews, meta-analyses, and original studies published between 2019 and 2025, covering ten domains: caries detection, periapical lesion identification, alveolar bone loss, peri-implant assessment, tooth detection and segmentation, cone-beam computed tomography (CBCT) analysis, vertical root fracture (VRF) detection, cephalometric landmark analysis, dental anomaly detection, and AI-versus-clinician comparison. Results: Pooled sensitivity was 0.94 and specificity 0.91 for caries detection on bitewing radiographs. Periapical AI sensitivity was 92.9% with specificity of only 58.6%, yielding a positive predictive value of 15.3%. Peri-implant bone loss assessment achieved AUC of 0.94. Vision transformers outperformed CNNs in 58% of dental imaging studies. VRF detection accuracy ranged from 75% to 97.8%. Cephalometric landmark detection rate reached 98.29%. AI diagnosed radiographs in 1.5 seconds versus 53.8 seconds for clinicians. ANSI/ADA Standard 1110-1:2025 provides the first formal dental AI validation framework. Conclusions: AI achieves substantial and reproducible diagnostic accuracy across dental radiographic tasks. High false-positive rates, demographic dataset bias, limited multi-centre external validation, and regulatory gaps must be resolved before broad clinical implementation.