This research aimed to evaluate a range of targeted nutritional strategies focused on both growth performance and carcass characteristics, as well as economic efficiency in broiler chickens under standard conditions based on four diets, including a usual control diet, an energy-dense diet, an amino acid (AA) optimized diet, and an AA-optimized-cost ration supplemented with multi-enzyme preparations. Four hundred eighty-one-day-old broiler chicks (Ross 308) were randomly allocated to four treatments and raised for 42 days. The results showed that the final body weight, weight gain, and feed conversion ratios were significantly greater in the groups fed the energy-dense and amino acid–nutrient density diets compared to the control group. This suggests better growth efficiency. Carcass analysis showed that chickens fed diets with higher energy and optimized amino acid levels had a higher dressing percentage and more breast meat. This suggests that nutrients were better directed into building lean tissue. Although the enzyme-based, cost-optimized diet did not match the biological performance of the nutrient-rich diet, it performed similarly to the control group. As a result, feed costs were reduced, contributing to economic benefits. Economic research indicated that feeding the high-energy diet gave the lowest feed cost per kg body weight gain and highest gross margin/bird. Adhering closely was the diet with optimized amino acid composition. Taken together, these results emphasize that precise nutrition, the correct level of calories, amino acid profile and the strategic inclusion of enzymes is necessary in broiler production industry to improve growth performance and carcass yield. This research gives valuable insight for developing feed formulation systems that maximize biological and economic efficiency in modern poultry production.

The coconut or Cocos nucifera L., is a traditional plant that is treasured across the world for its many uses beyond its delicious taste and refreshing water. Coconuts harbor a rich array of phytochemicals, that include terpenoids contributing to their nutritional value and therapeutic potential. This review embarks on a journey to unveil the diverse profile and nutritional perspectives of terpenoids in coconut possessing health-promoting properties. Terpenoids, comprising a variety of compounds such as monoterpenes, sesquiterpenes, and triterpenoids, exhibit antioxidant, antimicrobial, and anti-inflammatory properties, thereby bestowing health benefits on consumption. Understanding the pharmacology of terpenoids in coconut and its nutritional implications helps for maximizing its utilization in functional foods, dietary supplements, and pharmaceutical formulations. This comprehensive review underscores the importance of phytoconstituent (terpenoids) in coconuts as a source of bioactive compounds and highlight avenues for future research that harness their full potential for human health and well-being.

This work presents a comprehensive density functional theory (DFT) investigation of the nitrogen reduction reaction (NRR) on transition-metal (TM) atoms (Cr, Ni, Ru, Rh) supported on double nanorings (NRs = B₈N₈, B₈P₈, Al₈N₈, Al₈P₈, Ga₈N₈) via the distal pathway. The study focuses on elucidating the energetics, stability, and electronic properties of these TM-decorated nanorings as potential electrocatalysts for efficient nitrogen fixation. Geometry optimizations were performed using the long-range-corrected, range-separated functional ωB97XD combined with the polarized triple-ζ def2-TZVP basis set augmented with diffuse s and p functions. Interaction energies reveal that Ru@B₈N₈ is the most stable configuration, exhibiting a strong binding energy of −5.78 eV. Owing to this high stability, Ru@B₈N₈ was selected for detailed mechanistic evaluation of electrochemical NRR. A mixed-basics approach was employed in which Ru was treated using the LANL2DZ effective core potential, while B, N, and H atoms were described with the 6-31G(d,p) basis set to balance computational efficiency and accuracy. Charge-transfer interactions were analyzed using natural bond orbital (NBO) methods, and further insight into the electronic structure was obtained through frontier molecular orbital (FMO) and density of states (DOS) analyses, including evaluation of HOMO–LUMO energy gaps. Overall, this work provides fundamental insights into the stability and catalytic behavior of TM-supported double nanorings and offers valuable guidance for the rational design of robust and highly active NRR electrocatalysts.

The excessive consumption of chemical pesticides has negative consequences for men, non-target creatures, and the surrounding environment. Pest control tactics are evolving towards biopesticides, which offer a viable and ecologically friendly sustainable approach to the insect challenges. The primary goals of this study are to investigate the potential of nanotechnology in revolutionizing pest management through the development of nanopesticides and to address the environmental and health concerns associated with traditional agrochemicals. The main objective of the current research work was to prepare medicinal plants based nanobiopesticides having improved stability, and pesticidal activity by following the method of antisolvent precipitation. Nanobiopesticides showed increased pesticidal activity and might be employed as an effective substitute to conventional chemical pesticides. The antisolvent precipitation process was used to create nanobiopesticides from medicinal plant extracts. Different medicinal plants (Mentha piperita, Lawsonia Inermis, T. Arjuna bark, Withania Somnifera roots and Ocimum basilicum) was used for the formulation of nanobiopesticides. Soxhlet apparatus was used to formulate medicinal plants extract. Different stablizers was utilized until the stable nanosuspension was formulated. The most suitable nanoformulated pesticides was characterized using FTIR, and Zeta sizer. Almost all nanobiopesticides demonstrated the existence of the O-H stretch at 3300 cm which is characteristic of alcohol and carbon-oxygen double bond at 1636.3 cm. Lawsonia Inermis based nanosuspension revealed intense peak at 3317 cm. The average particle size and polydisperity index of Lawsonia Inermis based nanobiopesticide is 228.7 nm and 24.5%. Medicinal plants extracts, nanosuspensions and pyriproxyfen was applied on Tribolium castaneum insects and mortality rate of insects was determined after different time inervals. Lawsonia Inermis plant extract showed highest (p < 0.05) mortality rate after 72 hours of treatment 51.83 ± 0.76 by utilizing 200mg/ml concentration. Results demonstrated that the Lawsonia Inermis nanosuspension had an 61.83% death rate after 72 hours of exposure due to their nanosized structure, which is higher than the plant extract but lower than the synthetic pesticide.

Nanoparticles and metals increasingly intersect with biological systems, demanding biomarkers that are mechanistically informative, field-deployable, and interpretable across species. Framed within a One-Health perspective, this literature review synthesizes evidence on the nano–bio interface from molecular to ecosystem scales. We first situate exposure pathways, environmental fate, and bioavailability highlighting agglomeration, protein corona dynamics, dissolution/redox cycling, and uptake routes that condition internal doses. We then map mechanistic cascades (oxidative stress, immune modulation, genotoxic/epigenetic regulation, tissue injury/repair) onto Adverse Outcome Pathways (AOPs) to clarify where biomarker families read out along the continuum from initiating events to organismal and population effects. Assay domains are examined comparatively: enzymatic/biochemical markers (e.g., CAT, SOD, GPx, LPO), miRNA and broader omics (transcriptomic/proteomic/metabolomic pathways), histopathology and digital pathology, behavioral/physiological endpoints, and environmental DNA (eDNA) biosurveillance. Cross-taxa synthesis spans aquatic vertebrates and invertebrates, amphibians/reptiles, and birds/mammals, distilling concordance/discordance patterns among endpoints and contexts. For multimodal inference, we review Weight-of-Evidence, multivariate panel construction (PCA/PLS/clustering), and probabilistic/Bayesian fusion with attention to calibration and uncertainty. Quality and standards are emphasized (controls, effect sizes, MIQE/FAIR/GLP elements) alongside nano/metal-specific interferences and key confounders (life stage, genotype, co-stressors, matrix effects, particle traits/metal speciation). Applications span aquaculture health, wildlife conservation, environmental compliance, and translational/clinical monitoring. We identify critical gaps—chronic low-dose and mixture exposures, under-studied taxa/ecosystems, longitudinal field realism—and propose minimal core panels for lab screening and field deployment, plus a staged roadmap for method harmonization, reference materials, and open data resources. Collectively, the review outlines a path to robust, cross-taxa biomarker architectures that strengthen nanotoxicology inference and One-Health decision-making.

Background: The external ear plays a significant role in clinical, surgical, and forensic sciences. Anthropometric data are essential for surgeries, hearing aid design, and forensic identification. Ethnic diversity influences auricular morphology, emphasizing the need for population-specific data. This study provides data on the Okrika tribe, exploring sexual dimorphism and applications in clinical and forensic practice. Aim: To establish anthropometric auricular parameters for the Okrika tribe, with potential applications in clinical and forensic contexts. Materials and Method: This descriptive cross-sectional study recruited 450 Okirika indigenes (245 males, 205 females) aged 18+ years with no ear abnormalities or previous surgeries. Digital vernier calipers measured ear length, width, lobular length, and lobular width on both ears. Measurements were taken with subjects sitting upright and head in Frankfort horizontal plane. Data were analyzed using R programming environment, with sex differences assessed via independent sample T-test and correlations with stature via Pearson's/Spearman's correlation. P < 0.05 was considered statistically significant. Results: The study enrolled 450 Okirika participants (245 males, 205 females). Males were significantly taller, while females had higher BMI and greater central obesity. Males had larger right lobule width (17.3mm vs 16.3mm) and left ear width (31.1mm vs 30.3mm). Ear width measurements showed prominent sexual dimorphism. Sexual dimorphism was most pronounced in ear width measurements, with males having larger dimensions. External ear dimensions didn't correlate with stature in males and females. Ear size and height are independent traits, making ear measurements unreliable for predicting stature. Conclusion: This study provides valuable insights into Okrika tribe's external ear morphology, highlighting significant sexual dimorphism in auricular width dimensions. The findings offer a valuable reference for clinicians and forensic experts, guiding reconstructive surgery and sex estimation. The study contributes to external ear morphometry knowledge, emphasizing the need for population-specific research in diverse populations.

This study presents a forward-leaning approach to constructing hybrid organic–inorganic nanomaterials through a photoelectrocatalytic pathway tailored for sustainable energy generation and selective CO₂ conversion. The work integrates light-driven charge activation with surface-engineered catalytic interfaces, allowing the material to operate under mild conditions while maintaining high stability. By combining organic donor groups with inorganic semiconductor frameworks, the system ensures efficient charge mobility, stronger adsorption of CO₂, and controlled intermediate formation. This synergy enables faster reaction kinetics and enhances product selectivity without relying on harsh chemical inputs. Experimental results show that the hybrid structures exhibit notable improvements in photocurrent density, quantum efficiency, and carbon-based product yield when compared with conventional single-phase catalysts. The material’s architecture also supports extended operational durability, mitigating surface deactivation and maintaining consistent performance across repeated cycles. Mechanistic analysis indicates that the coexistence of organic functionalities and inorganic lattice sites opens new reaction channels, creating a balanced environment for electron transfer and catalytic turnover. This approach demonstrates a practical and scalable route toward low-energy CO₂ transformation technologies, offering a blueprint for advancing renewable-driven chemical production. The findings underscore the potential of photoelectrocatalytic hybrid materials as versatile platforms capable of bridging energy conversion and carbon-management applications. The study ultimately lays a clear foundation for next-generation catalysts engineered to operate at the crossroads of sustainability, efficiency, and molecular precision.

This study was conducted to assess genetic variability for maturity and panicle components in rice. A set of 22 F5:6 lines along with their 13 parents genotypes were assessed in randomize complete block design (RCBD) with three replications grown at Agricultural Research Station, Baffa Mansehra during 2023 growing season. The data were recorded on seven morphological traits. Highly significant variations (P ≤ 0.05) were also detected across parental lines and F6 progenies for all traits. ‘Swatai 2014’ showed the maximum heading (80 days) among the parents, and ‘Dilrosh’ the shortest maturity period (101 days). Fakhre Malakand had maximum number of primary branches per panicle (12), while it was Swat 2 for maximum secondary branches per panicle (30.1). Among the F6 lines, ARS-185 and ARS-201 took least days to heading (89 days) while ARS-201 took least days to mature (121 days). ARS-245 had the greatest value for number of primary branches per panicle (11.7) whereas line ARS-155 had the maximum value for number of secondary branches per panicle (28.3). Days to maturity (0.92) had the highest heritability estimates followed by days to heading (0.86) and culm length (0.81). Flag leaf area (24.36%), culm length (25.86%) and secondary branches per panicle (18.46%) exhibited high genetic advance as percent of mean. The better performance of ARS-201, ARS-245, and ARS-155 on maturity and panicle attributes indicated a useful trait that implied on utilization in multi-location yield trials.

Digital health portals increasingly depend on highly “popular” physicians to anchor user traffic and drive revenue. Existing work, however, (i) conflates popularity with a single behavioural cue (consultation count) and (ii) relies on linear or shallow machine-learning models. We introduce PopNet, a hybrid TabTransformer + GRU that fuses demographic, behavioural, visual-cue and temporal-momentum signals to predict a composite Popularity Index (PopIdx) built from four pillars: demand, monetary appreciation, social proof and visibility. Across a five-fold group-wise cross-validation on 19 200 physician-quarter snapshots, PopNet attains MAE ≈ 0.091, beating ElasticNet by >40 %. Nevertheless, modern tree ensembles still edge it out (LightGBM MAE ≈ 0.046). Integrated-Gradient explanations and a feature-family ablation reveal platform visibility (inv_rank) as the single most important driver of popularity, followed by raw patient demand and monetary gifts. Fairness audits show a modest 0.006 PopIdx MAE gap between genders; a simple inverse-propensity re-weighting halves this gap with <0.002 performance loss. The study provides actionable levers for platform managers and a reusable, bias-audited modelling pipeline for future research.