Abstract: The growing adoption of electric vehicles (EVs) and the rapid expansion of public charging infrastructure pose new challenges and opportunities for energy systems, particularly in urban settings. This study presents an optimization-based evaluation of different EV charging strategies including direct charging, average-based methods, smart charging, and vehicle-to-grid (V2G) at public parking lots using real-world charging session data. This data-driven model is set to optimize the public EV charging of vehicles in Gothenburg, without sacrificing on the energy requirement while minimizing charging costs for the operators. Results indicate that direct charging scenarios lead to significantly higher peak loads (up to 1286 kW) and costs (around 370 k€), highlighting their inefficiency under unmanaged operation. In contrast, smart charging reduces peak loads by approximately 47% and overall costs by around 74%, showcasing its potential for cost-effective grid-friendly operation. Two different V2G scenarios were tested based on the impact of discharged power accounted for in peak costs, though it enables energy discharge back to the grid, the benefits remain modest under current assumptions due to tight operational constraints and limited incentives. The study emphasizes the value of smart optimization and appropriate market design in enhancing the flexibility and cost efficiency of public EV charging systems.

Abstract: Cranial cruciate ligament (CrCL) rupture in cats is less common than in dogs, and its optimal treatment remains a subject of debate. The aim of this study was to evaluate the application of cranial tibial wedge osteotomy technique (CTWO) as a dynamic stabilization technique in cats with CrCL rupture, describing the technical aspects and clinical outcomes obtained. Five cases with a confirmed diagnosis of CrCL rupture between 2020 and 2024 were included in this study. All patients were treated with CTWO using specific osteosynthesis locking plates for this technique in dogs and a complementary cerclage wire. Radiographic rechecks were performed at 8 and 12 weeks postoperatively and clinical evaluations were performed 24 hours, 8 weeks, 12 weeks and six months postoperatively in every patient. Successful and complete bone healing of the tibial osteotomy was observed in every case. No intraoperative or postoperative complications related to implants or soft tissues were recorded. All cats achieved a complete functional recovery without lameness at the last recheck six months after surgery. The technique was performed without significant technical difficulties, providing adequate stability and favorable clinical outcomes in all cases. Although the use of a cranial tibial wedge osteotomy in combination with a tibial plateau leveling osteotomy (TPLO) was reported by Hoot et al to treat a cruciate ligament rupture in a cat presenting a deformity of the proximal tibia (Hoot et al), to the authors´ knowledge the use of the cranial tibial wedge osteotomy as single technique to treat the CrCL rupture in cats has not been previously reported in the literature. These preliminary results support the use of CTWO as an effective surgical alternative for the treatment of CrCL rupture in cats. However, further studies with a larger number of cases and a longer follow-up are required to evaluate better its clinical application, outcomes and influence on osteoarthritis progression in the long term.

Abstract: The Jiaduoling area is located in the northern segment of the Southwest Sanjiang Metallogenic Belt, a region characterized by complex geological structures and abundant mineral resources. This study systematically identifies the spatial correlation between subsurface magnetic bodies and tectonic structures by utilizing 1:50,000 high-precision aeromagnetic data. Advanced processing techniques—including upward continuation, vertical derivatives, total gradient modulus, and Euler deconvolution—were integrated to refine the structural framework and clarify the mechanisms of fault-controlled mineralization.The results indicate that the aeromagnetic anomaly pattern is predominantly governed by NW-trending faults. Specifically, the deep-seated major fault F1 (with a calculated depth exceeding 3 km) served as the primary migration channel for ore-forming fluids, while secondary faults created localized ore-hosting spaces. Physical property analysis reveals a significant magnetic contrast, where Mesozoic intermediate-acid magmatic rocks act as the essential source for mineralization, providing both material and thermal energy for the formation of porphyrite-type iron deposits.Based on these findings, a three-dimensional "aeromagnetic anomaly-structural framework-mineralization" correlation model was established. Finally, two high-potential metallogenic prospective zones (P1 and P2) were delineated, providing precise geophysical evidence and strategic guidance for regional mineral exploration and the targeting of concealed ore bodies.

Abstract: The Zeta-Minimizer Theorem establishes a variational foundation for the Riemann zeta function by minimizing a phase functional derived from the compressibility factor. Starting from the classical virial expansion, the theorem performs an exact exponential resummation that yields the Euler product form of ζ(s) over a finite helical basis. In a symmetric measure space equipped with non-proper Archimedean conical helices, four geometric constraints—rational signed cosines, positive integer representation dimensions, non-zero integer differences, and prime-modulated exponential decays—force primes to emerge as indivisible cycles in the representation graph, via Hilbert’s irreducibility theorem and Maschke’s theorem. Corollaries include the deductive proof of the Riemann Hypothesis (non-trivial zeros spectrally centered on Re⁡(s)=1/2), stacked phases as stratified orbifolds, emergent layered geometries, bounded prime descent, and dimensional resistance. The three axioms abstract thermodynamic equilibrium conditions purely: strict concavity of entropy on measures, non-vanishing spectral Gibbs minima, and covariance with flux conservation. Number-theoretic structures, complex numbers, polynomials, and quantization itself appear as projected artifacts of the underlying variational optimization. Applications range from atomic stratification (quantized shells arising from phase jumps) and angular-momentum tensors to the fine-structure constant (emergent from cycle sums with β=5 leaps) and covariant mappings to arbitrary conjugate variables via category-theoretic functors and renormalization-group universality. By demoting elementary mathematical constructs to derived descriptions of thermodynamic optimization on the helical manifold, ZMT provides a unified deductive framework for analytic number theory, algebraic geometry, and spectral theory.

Abstract: This paper proposes a decentralized data trading approach based on the Automated Market Maker (AMM) mechanism, aiming to break through the bottlenecks in data trading efficiency and fairness via the collaborative innovation of market-oriented pricing mechanisms and automated trading processes. We focus on constructing an automatic pricing and matching mechanism based on liquidity pools. Subsequently, mathematical modeling and simulations reveal slippage generation mechanisms in data liquidity pools under trading shocks and imbalances. To address these issues, a novel dual slippage optimization mechanism integrating dynamic trade splitting and alternating order sorting is proposed, which decomposes orders into sub-orders and reorganizes their timing, establishing a dynamic equilibrium model. Experiments show the method reduces average slippage amplitude from 2.1% to 0.5% and representing a 76.2% reduction, significantly enhancing price stability and market efficiency. This research explores the mechanism of applying AMM to data asset trading and overcomes AMM's limitations, providing a theoretical and empirical foundation for building low-cost, high-fairness data trading systems through mechanism innovation and technical optimization.

Abstract: Controls are fundamental to ensuring accuracy and reliability in molecular diagnostics, yet their roles are often oversimplified or conflated with broader quality assurance frameworks. As molecular testing expands from centralized laboratories to point-of-care (POC) and over the counter (OTC) settings, the design, implementation, and interpretation of controls must evolve to address diverse operational environments and clinical risks.This review introduces a comprehensive framework for understanding control strategies in molecular diagnostics, integrating internal, external, and orthogonal controls within a tiered, risk-based testing model. We categorize diagnostic systems into three tiers—screening (OTC/POC), confirmatory laboratory testing, and reference-level or adjudication testing—and examine how control requirements scale with analytical complexity, user variability, and clinical impact. Across these tiers, controls serve distinct but complementary roles, including verification of assay functionality, mitigation of contamination, maintenance of cross-platform consistency, and resolution of diagnostic uncertainty. We further analyze common failure modes in molecular diagnostics, including sample-related errors, inhibition, contamination, and interpretation challenges, and map how specific control strategies mitigate these risks. Regulatory perspectives from the U.S. Food and Drug Administration (FDA), Clinical Laboratory Improvement Amendments (CLIA), International Organization for Standardization (ISO), and World Health Organization (WHO) guidelines are discussed, highlighting the shift toward risk-based and context-dependent control design rather than rigid, one-size-fits-all requirements.Importantly, we address the balance between control burden and clinical utility, emphasizing that excessive control implementation may increase system complexity without proportionate gains in diagnostic value particularly in decentralized settings. Emerging trends, including artificial intelligence (AI)-assisted diagnostics and decentralized molecular platforms, are also explored as transformative approaches to enhancing control integration and result validation.We propose that a tier-adaptive, risk-based control framework is essential for next-generation molecular diagnostics, enabling accurate, scalable, and user-centered testing systems. This perspective supports the development of robust diagnostic platforms that maintain analytical integrity while improving accessibility and real-world performance.

Abstract: Background: Missing data, particularly progression-driven dropout, introduces substantial bias in longitudinal oncology studies, directly impacting response classification based on RECIST criteria. While machine learning–based imputation methods are increasingly used, their performance is rarely evaluated in a clinically interpretable framework centered on patient-level endpoints such as Best Overall Response (BOR). Methods: We propose a clinically grounded evaluation RECIST 1.1 framework focused on patient-level response classification. Longitudinal tumor trajectories were simulated for 270 patients (1:1 HER2+ and HER2−) across nine follow-up visits using both Gompertz and Stein–Fojo growth models. Realistic missingness was introduced through a combination of random mechanisms and progression-driven dropout. Two machine learning imputation methods, long short-term memory (LSTM) and MissForest, were evaluated under both direct (MAR-based) and Non-responder imputation strategies. Performance was assessed using BOR classification metrics, including accuracy and Cohen’s kappa. Result: Across both simulation frameworks, imputation substantially improved BOR classification performance. Under the Gompertz model, accuracy increased from 0.83–0.87 with direct imputation to 0.93–0.98 with non-responder imputation, with corresponding kappa improvements from 0.71–0.79 to 0.89–0.97. Similar trends were observed under the Stein–Fojo model (accuracy: 0.82–0.84 vs. 0.91–0.96; kappa: 0.69–0.72 vs. 0.86–0.94). Among the evaluated methods, MissForest combined with non-responder imputation demonstrated the most stable and consistently high performance across simulation settings. In contrast, LSTM exhibited greater variability, particularly under complex missingness patterns. Conclusion: Imputation strategies aligned with clinical estimands, such as non-responder imputation, substantially improve patient-level response classification. This study establishes a clinically interpretable evaluation framework linking machine learning–based imputation to RECIST-based endpoints, supporting more robust and regulator-relevant handling of patient-level interpretability under missing data in oncology trials.

Abstract: Cardiogenic shock secondary to acute myocardial infarction complicated by mechanical failure remains associated with high mortality despite advances in cardiac surgery and mechanical circulatory support. We report the case of a 42-year-old patient with poste-rior papillary muscle rupture leading to severe mitral regurgitation, managed with emergency surgical intervention and extracorporeal membrane oxygenation. The pa-tient, with a history of Type I Bipolar Disorder under long-term lithium therapy and chronic Cannabis use, presented in critical condition with cardiogenic shock (Killip IV), acute pulmonary edema, and ST-segment elevation myocardial infarction in the in-fero-posterior territory. Coronary angiography revealed right coronary artery occlusion and involvement of an obtuse marginal branch. Emergency mitral valve replacement with a mechanical prosthesis and aortocoronary bypass were performed. Due to failure to wean from cardiopulmonary bypass, central veno-arterial ECMO was initiated. The postoperative course was complicated by hemodynamic instability and recurrent peri-cardial collections requiring repeated surgical interventions and conversion to periph-eral ECMO. Multiorgan dysfunction developed, including hepato-renal failure requiring hemofiltration, neurological injury, respiratory impairment, and neuropsychiatric complications. Despite these challenges, progressive recovery was achieved under in-tensive multidisciplinary management. This case emphasizes the importance of early surgical correction and tailored ECMO support in managing post-infarction mechanical complications.

Abstract: Artificial intelligence is fast expanding in clinical research and medicinal development. In response, a considerable governance literature has arisen, characterised by ambitious theoretical frameworks but persisting gaps in practical implementation. This critical analysis assesses the underlying assumptions, organisational constraints, and institutional flaws that undermine responsible AI governance in healthcare and clinical research. The analysis combines findings from AI ethics, organisational governance, computational toxicology, clinical trial methodology, and patient safety science. The core thesis is that, despite significant agreement among governments, corporations, and academia on stated objectives, the responsible AI field has persistently failed to bridge the gap between normative goals and organisational realities. In clinical settings, this failure has direct consequences for patient safety. The analysis is structured around five interconnected critiques: the conceptual inadequacy of the performance-centric evaluation paradigm, which conflates statistical reliability with clinical safety; the inadequacy of explainability methods as substitutes for genuine accountability; the practical unimplementability of principled administrative frameworks in most healthcare research institutions; and the characterisation of regulatory fragmentation as a political economy. Drawing on a large body of research, the review suggests that solving the governance gap in clinical AI requires facing more fundamental assumptions than current studies acknowledges.

Abstract: The transition toward sustainable biorefinery processes requires efficient strategies for lignocellulosic biomass deconstruction and valorization. In this study, an integrated enzymatic system combining fungal holocellulases and laccases with a bacterial galactolipase was developed and evaluated. The consortium, composed of Trametes hirsuta GMA-01, Mycothermus thermophilus CBS 619.91, and Burkholderia lata BL02, was produced using agro-industrial substrates and applied to the hydrolysis of different lignocellulosic biomasses. The incorporation of galactolipase activity enhanced saccharification yields for leaf-derived substrates, reaching up to 292.0 mg/g for spinach leaves and 236.0 mg/g for corn straw, compared to fungal systems alone. This effect is associated with the selective hydrolysis of membrane-associated galactolipids, improving substrate accessibility to holocellulolytic enzymes. Proteomic analysis and structural modeling identified the BL02 enzyme as a versatile ester hydrolase with features compatible with accommodating bulky polar substrates. In addition, the enzyme catalyzed the synthesis of sugar fatty acid esters with conversion yields above 50% for glucose and xylose in binary solvent systems. These findings support the role of galactolipases as accessory enzymes and highlight their potential application in integrated and sustainable biorefinery processes.

Abstract: Tropical lignocellulosic residues offer regionally abundant feedstocks for lignin-containing nanocellulose composites, but their value cannot be inferred from biomass origin or bulk lignin content alone. This review reframes the field as an interphase engineering problem, distinguishing between residual-lignin nanofibrils, redeposited-lignin systems, lignin-nanoparticle assemblies, compatibilized thermoplastic hybrids, and all-lignocellulosic sheets. The evidence is weighted according to feedstock geography, lignin state, nanocellulose morphology, moisture history, shaping route, and application-relevant testing. The synthesis indicates that tropicality matters through ash, extractives, contamination, water retention, storage stability, and processing logistics. Mill-concentrated residues, especially oil palm streams and sugarcane bagasse, offer the most credible near-term platforms because wet preprocessing and fractionation can be integrated locally. Decentralized residues, including pineapple leaf fiber and banana pseudostem, remain promising only when stabilization and contamination control are solved near the source. Finely distributed lignin often enhances UV shielding, antioxidant response, oil resistance, and selective wetting, whereas coarse or redeposited lignin often compromises fibrillation, transparency, and interphase continuity. Packaging layers, paper-like structures, coatings, and selected porous media emerge as high-confidence product windows; thermoplastics are medium-confidence, and biomedical, additive-manufacturing, and nano-reactor claims remain conditional.

Abstract: Terminal glial cells (TGCs) are integral components of cutaneous end-organ com-plexes (CEOCs) and have traditionally been regarded as structural and trophic elements. However, increasing evidence suggests their involvement in mechanosensation and mechanotransduction. This study aimed to investigate the expression of mechanosensitive ion channel-related proteins in TGCs and axons of human Meissner and Pacinian cor-puscles from glabrous skin at different anatomical sites. Using immunohistochemistry and immunofluorescence, we analysed the distri-bution of ASICs, ENaC subunits, PIEZO channels, and TRP family members. Axonal terminals showed widespread expression of these proteins, including PIEZO1/2, ASIC2, TRPC6, and TRPV4, consistent with their role in mechanotransduction. In contrast, TGCs displayed a more restricted and heterogeneous profile. ASIC2 and TRPV4 were con-sistently detected in Meissner corpuscles, whereas PIEZO1/2 and TRPA1 showed site-dependent expression. In Pacinian corpuscles, TGCs were positive for ASIC2, PIE-ZO2, TRPA1, and TRPV4. Notably, TRPA1 expression in TGCs is reported here for the first time. These findings support the idea that TGCs may modulate mechanosensory input, although their functional role remains to be elucidated.

Abstract: During the continuous casting of high-titanium steel, traditional fluorine-containing mold fluxes are prone to causing fluoride contamination, equipment corrosion, and intensified slag-metal interface reactions. There is an urgent need to develop highly adaptable fluorine-free mold flux systems. In this study, titanium-containing blast furnace slag was used as the primary base material, while borax, soda ash, and witherite were selected as fluoride-substituting mineral raw materials. The effects of these mineral raw materials on the melting properties, crystallization behavior, crystalline phases, and microstructure of fluorine-free mold fluxes were systematically investigated, and an optimized mold flux design suitable for continuous casting of high-titanium steel was further developed. The results indicate that borax significantly reduces the melting temperature and viscosity and markedly suppresses the growth of crystalline phases such as calcium borosilicate, nepheline, and perovskite by weakening the polymerization degree of the silicate network, thereby substantially decreasing the crystallization ability of the mold flux. Soda ash primarily acts as a strong fluxing and network-depolymerizing agent, promoting the formation of low-polymerized structural units. It also enhances the tendency toward ordered atomic arrangement, thereby markedly increasing nepheline precipitation and the overall crystallization ratio. Witherite exerts a relatively mild effect on slag structure and phase evolution; its moderate addition helps synergistically reduce the melting point, viscosity, and crystallization ratio, thereby supporting performance stability. The optimized fluorine-free mold flux, designed on the basis of these findings, maintains a suitable initial crystallization temperature and critical crystallization cooling rate while exhibiting lower melting temperature, viscosity, and crystallization ratio than conventional fluorine-bearing flux. Moreover, the introduction of TiO2 reduces the chemical potential difference between Ti in the molten steel and the fluorine-free mold flux, thereby slowing down the rate of slag-metal interface reactions and improving compositional stability. The research results provide a theoretical basis for the industrial design of environmentally friendly mold fluxes for high-titanium steel and for improving billet quality.

Abstract: The outermost region of the Solar System is called Oort cloud which is the Solar systems’ reservoir of long-period comets that extends to distances up to 200 000 au from the Sun. Long-period comets can be injected towards the inner Solar System due to galactic tides and passing stars. While galactic tides are effective on long time scales, perturbations of stellar flybys are short-term effects that have not only occurred in the past. Gaia observations confirmed that the solar system will experience a close flyby of the K-type star Gliese 710 in about 1.3 Myrs. This star will probably pass at a distance of about 10500 au to the Sun. When crossing the Oort cloud this 0.6 solar mass star will perturb the long-period comets especially those objects that are close to Gliese 710’s trajectory. In this numerical investigation, we use our recently developed GPU based N-body code GANBISS and study the orbits of some hundred million test-comets for the time of the stellar flyby which takes about 64000 years. The simulations show that the stellar passage generates cometary streams - which either transport comets into the inner solar system or scatter a huge amount of comets into interstellar space.

Abstract: Sulforaphane (SFN), a bioactive compound sourced from cruciferous vegetables, offers significant antioxidant and anti-inflammatory benefits yet, its stability in animal feed is a challenge. Nanotechnology-based encapsulation, specifically ionic gelation, has demonstrated efficacy in improving the stability and bioavailability of SFN. This review examines the application of natural polymers such as chitosan and alginate in ionic gelation for the encapsulation of SFN. It also discusses how these polymers can prevent SFN from degrading while traversing the digestive tract. Encapsulated SFN has shown enhanced nutritional absorption, elevated immune responses, and reduced oxidative stress in animals. However, challenges persist in identifying optimal methods for encapsulating various species, including enhancing encapsulation effectiveness, particle size, and controlled release mechanisms. Additionally, regulatory concerns regarding the safety and environmental impacts of nanoparticles in feed must be addressed. Future research should focus on improving encapsulation techniques and ensuring the safe application of SFN-loaded nanocarriers in livestock feed.

Abstract: Cardiovascular disease is the leading cause of death in women, yet prevention and management have historically relied on male-centered models. Sex and gender critically influence risk, clinical presentation, and outcomes. Depression, anxiety, and psychosocial stress, more prevalent in women, act as key amplifiers of cardiovascular risk. We conducted a clinically oriented narrative review based on a broad, non-systematic search of major databases, integrating evidence selected for relevance and methodological robustness to clarify biological and psychosocial mechanisms linking mental health and cardiovascular disease in women. Affective disorders and stress contribute to cardiovascular risk through interconnected pathways, including hormonal fluctuations, autonomic and neuroendocrine dysregulation, inflammation, endothelial dysfunction, and heightened platelet reactivity. These mechanisms interact with gender-related exposures such as caregiving burden, occupational stress, and interpersonal violence. Stress-related phenotypes, including mental stress, induced ischemia and takotsubo syndrome, exemplify the heart-brain axis and its clinical implications. Incorporating mental health into cardiovascular risk assessment is essential for precision prevention in women. A women-centered approach should include systematic psychosocial evaluation, multidisciplinary care, and tailored strategies to improve risk control, adherence, and outcomes.

Abstract: Silver nanoparticles (AgNPs) have attracted significant attention due to their remarkable antimicrobial, antibacterial, and catalytic properties, enabling widespread applications in consumer products, biomedical fields, and environmental systems. Conventional chemical and physical synthesis routes, however, often involve toxic reagents and generate hazardous byproducts, raising environmental and health concerns. In response, green synthesis approaches employing biological entities such as plant extracts, bacteria, and fungi have emerged as sustainable and eco-friendly alternatives. These methods utilize natural reducing and stabilizing agents, minimizing toxicity while enhancing biocompatibility. This review comprehensively examines green-mediated synthesis strategies for AgNP-based composites, highlighting their physicochemical properties and functional performance. Additionally, the potential toxicity and environmental implications of AgNPs are critically discussed. Particular emphasis is placed on their applications in environmental remediation, including water purification, pollutant degradation, and antimicrobial treatments. Overall, green-synthesized AgNP composites offer a promising pathway toward sustainable nanotechnology for environmental pollution control.

Abstract: The absence of an indigenous pure chicken breed in Nigeria has a serious negative impact on both the global and domestic economy, as well as per Capita protein consumption and income of their farmers. Moreso the poultry global gene pool is about to loss some fitness traits, due to the fact that they it was raised from very few population. With only 3 poultry breeding companies namely Aviagen, Hendrix and Cobb vantress principally supplying world exotic chicken the importance of a new chicken breed originating from an entirely different gene pool, like Nigerian chicken gene population can never be over emphasized. It is therefore pertinent that the Nigeria's rich natural resources (local chicken) be genetically modified to a Pure Elite Layer Breed to meet FAO 's prediction of Nigeria's potential for global food security Interestingly FAO has predicted the significant role of Nigerian livestock resources in global animal protein insecurity FAO (2022). Responding to this global call Nigerian local genetic breeders at the University of Nigeria Nsukka, in the past decade began selective breeding of the Nigerian local chickens through estimation of genetic parameters of growth and reproductive traits among the inbred chicken ( Ohaghenyi et al 2025, Ohaghenyi et al 2021, Nwankwo 2023, Okoye 2023, Ohagenyi and Okochi 2023, Ohaghenyi and Ezeugwu 2021.). Moreover (Ogbu et al 2019, Agbo et al 2 Corollary the comparative study of the inbred chicken and layer chicken will both provide a concrete information on the genetic progress made so far among the inbred chicken. The objective of this study is the genetic evaluation of reproductive traits of layer birds and Awka Elite chicken (genetically improved inbred chickens) raised in South Eastern Nigeria. The foundation stocks was grouped into 2 categories the layer birds and the genetically improved inbred chicken. They where fed with stater crumbs from day 1 to 8 weeks.l, and they where fed with finisher feeds from 8 to 16 weeks. And we continued with layer mash. Eggs were collected daily with egg crates and stored in a cool and airy room . Parameters that was measured include Reoroductive Traits and Egg internal Qualities The experiment was carried out using Completely Randomized Design (CRD) with the statistical mode] as follows; Xij= μ + Ti + Σij A one-way analysis of variance (ANOVA) was conducted to determine whether there were significant differences in Reproductive Traits and Egg internal Quality among the different chicken genotypes. The analysis compared the mean values of the experimental groups. It is evident from the findings of this study that the Awka Elite Inbred chicken was superior to the Exotic Layer in Albumen weight and Haugh unit. One Sire family (H62) of the Awka was superior to Exotic egg, however the average egg weight of EXOTIC eggs was 1.1g heavier, though not significant (p>0.05).The superior performance of the H62 family implies more homogeneous meat genes as a result of mating of related ancestors over several. Hence more suitable for development of broiler lines.The INBRED achieved similar weight with: more albumen (+1.4g); Larger yolk (+1.0g); Heavier shell (+0.3g). This suggests Awka Elite eggs may be more nutrient-dense per gram. The external egg quality namely Shell thickness and weight were nearly identical. Egg shape (length/width) showed minor variation, which was not meaningful. This research concludes that Selective breeding of local chickens, which expedited significant gains in performance,(growth and egg) traits has resulted in the origin of a new species, known as the Awka Elite Breed. This research breakthrough suggests that Nigeria now has the potential to develop elite poultry, hence reducing reliance on imported Parent stock. Partnership: It is recommended that Partnership from the US, UK, China and Africa to enable the Researchers supply this superior Pure chicken breed to Commercial and Rural farmers all over the world. .018, Udeh et al 2024 ) selectively bred the heavy ecotype chicken.

Abstract: Tropical forests are facing escalating deforestation, while forest degradation, driven by a complex interplay of human-induced factors, emerges as an additional and compounding threat. In this context, regulated selective logging persists as an alternative to conciliate forest protection and economic development. This study synthesizes current knowledge on the impacts of logging, focusing on research trends, geographic distribution, ecological topics, and key variables like logging intensity, time since logging, and number of logging cycles. Since the 1970s, 641 papers listed on the Scopus platform have demonstrated a sharp increase in publication activity over the past five years, followed by a tendency toward stabilization. Papers were concentrated in Brazil and Malaysia, with few papers coming from other countries, particularly from Africa. Notably, 47% of the studies did not report logging intensity, and one-third focused almost exclusively on its impacts on forest physical structure, damage, or biomass—leaving a wide range of other topics largely unexplored until 2022. We refer to 13 topics with less than 20 studies in total, such as nutrient cycling, non-timber forest products, biological invasion, and key biological taxa. Herbs, epiphytes, fish and amphibians were among the least investigated taxa across the regions. Furthermore, when controlling variables like region and logging intensity, most ecological topics had fewer than five dedicated studies. Research remains largely restricted to similar scenarios: first-cycle logging in old-growth forests, leaving substantial knowledge gaps. As logging operations are expected to increase, we argue for a (1) mandatory long-term monitoring in logging regulations; (2) public access to monitoring data, reports and information related to regulated logging; (3) a global platform to exchange experience as long-term monitoring, better practices, silvicultural approaches and sustainability assessment; (4) alignment among regulatory and certification agencies on sustainability standards; (5) capacity building initiatives; and (6) long-term experiments devoted to logging sustainability and better practices.

Abstract: Human language continuously generates patterned mechanical vibrations, yet the cellular consequences of such structured sound remain largely unexplored. Here, we investigate whether acoustic vibration with different degrees of temporal and spectral organization modulates actin cable architecture and polarity in the non auditory eukaryote Saccharomyces cerevisiae. Using a direct contact stimulation setup, yeast cells expressing ABP140- GFP were exposed to sustained tonal sound, broadband white noise, or brief consonant like acoustic bursts designed to isolate speech relevant temporal structures without semantic content. Sustained tonal stimulation, characterized by rhythmic continuity and harmonic coherence similar to vowel like components of speech, increased ABP140- GFP signal intensity,actin branching and actin length and significantly enhanced shmoo formation. In contrast, broadband noise disrupted actin organization and suppressed shmooing, while transient consonant like bursts produced no measurable structural effects. These results indicate that language related acoustic structure, specifically sustained and coherent mechanical vibration, can modulate cytoskeletal organization in yeast, supporting the view of sound and speech as biologically active mechanical inputs rather than purely communicative signals.