Search Results (957)

A critical obstacle in cardiac cell therapy is the unpredictable and poorly understood initial electrophysiological integration of grafted cardiomyocytes into the host tissue, a process that dictates therapeutic success and arrhythmic risk. Current models fail to capture the earliest stages of functional coupling formation. Here, we employed a tailored bioengineering platform, where single cardiomyocytes were stabilized on minimalist electrospun polycaprolactone (PCL) nanofibers, to model the “graft–host” interface and study the dynamics of excitation wave transmission in real-time. Using high-speed optical mapping enhanced by a custom SUPPORT neural network, we achieved the first quantitative insights into the efficiency of nascent intercellular contacts. We determined that within the first 3 h, these initial connections are 39–44 times less effective at conducting excitation than mature contacts within the native monolayer, explaining the observed partial (46%) synchronization of grafted cells. This work provides the first direct measurement of the functional deficit during the initial minutes and hours of graft integration. It establishes that simple, inert polymer fibers can act as a catalytic scaffold to enable this fundamental biological process, offering a powerful strategy to deconstruct and ultimately control the integration of engineered tissues (or cells) for safer cell therapies. Full article

Efficient interaction between PHP (Hypertext Preprocessor) applications and MySQL databases is essential for the performance of modern web systems. This study systematically compares the two most widely used PHP APIs for working with MySQL databases—MySQLi (MySQL Improved extension) and PDO (PHP Data Objects)—under identical experimental conditions. The analysis covers execution time, memory consumption, and the stability and variability of results across different types of SQL (Structured Query Language) queries (simple queries, complex JOIN, GROUP BY/HAVING). A specialized benchmarking tool was developed to collect detailed metrics over several hundred repetitions and to enable graphical and statistical evaluation. Across the full benchmark suite, MySQLi exhibits the lowest mean wall-clock execution time on average (≈15% overall). However, under higher query complexity and in certain connection-handling regimes, PDO prepared statement modes provide competitive latency with improved predictability. These results should be interpreted as context-aware rankings for the tested single-host environment and workload design, and as a reusable benchmarking framework intended for replication under alternative deployment models. Statistical analysis (Kruskal–Wallis and Mann–Whitney tests) confirms significant differences between the methods, while Box-plots and histograms visualize deviations and the presence of outliers. Unlike earlier studies, this work provides a controlled and replicable benchmarking environment that tests both MySQLi and PDO across multiple API modes and isolates the impact of native versus emulated prepared statements. It also evaluates performance under complex-query workloads that reflect typical reporting and analytics patterns on the ClassicModels schema. To our knowledge, no previous study has analyzed these factors jointly or provided a reusable tool enabling transparent comparison across PHP–MySQL access layers. The findings provide empirical evidence and practical guidelines for choosing the optimal API depending on the application scenario, as well as a tool that can be applied for further testing in various web environments. Full article

Epipolythiodioxopiperazines (ETPs), characterized by a diketopiperazine (DKP) core bridged by disulfide or polysulfide bonds, exhibit exceptional structural diversity and functional adaptability. This review comprehensively explores their multifaceted properties, covering chemical structural characteristics, therapeutic application potential, and ecological functional value. Structural diversity arises from variations in the core DKP scaffold, sulfur bridge connectivity patterns, and additional modifications. Biosynthesis involves initial DKP assembly, enzyme-catalyzed sulfur incorporation and oxidation to form the signature sulfur bridge of ETPs, diversification by tailoring enzymes, and distinct regulatory mechanisms. ETPs possess diverse biological activities, including cytotoxicity, antitumor activity, antimicrobial properties, and immunomodulatory functions. From an ecological standpoint, ETPs mediate fungal–host interactions and influence competition and symbiosis within fungal communities. Furthermore, this review also addresses the current challenges and outlines future research directions. In summary, as a class of significant compounds spanning the fields of chemistry, biology, medicine, and ecology, ETPs deserve focused attention for their research value and application prospects. Full article

The rapid advancement of artificial intelligence has driven a surge in demand for computing power. As the core computing infrastructure, data centers have expanded in scale, escalating electricity consumption and magnifying a regional mismatch between computing capacity and energy resources: facilities are concentrated in the energy-constrained East, while the renewable-rich West possesses vast, untapped hosting capacity. Focusing on cross-regional data-center migration under the “Eastern Data, Western Computing” initiative, this study constructs a tripartite evolutionary game model comprising the Eastern Local Government, the Western Local Government, and data-center enterprises. The central government is modeled as an external regulator that indirectly shapes players’ strategies through policies such as energy-efficiency constraints and carbon-quota mechanisms. First, we introduce key parameters—including energy efficiency, carbon costs, green revenues, coordination subsidies, and migration losses—and analyze the system’s evolutionary stability using replicator-dynamics equations. Second, we conduct numerical simulations in MATLAB 2024a and perform sensitivity analyses with respect to energy and green constraints, central rewards and penalties, regional coordination incentives, and migration losses. The results show the following: (1) Multiple equilibria can arise, including coordinated optima, policy-failure states, and coordination-impeded outcomes. These coordinated optima do not emerge spontaneously but rather depend on a precise alignment of payoff structures across central government, local governments, and enterprises. (2) The eastern regulatory push—centered on energy efficiency and carbon emissions—is generally more effective than western fiscal subsidies or stand-alone energy advantages at reshaping firm payoffs and inducing relocation. Central penalties and coordination subsidies serve complementary and constraining roles. (3) Commercial risks associated with full migration, such as service interruption and customer attrition, remain among the key barriers to shifting from partial to full migration. These risks are closely linked to practical relocation and connectivity constraints—such as logistics and commissioning effort, and cross-regional network latency/bandwidth—thereby potentially trapping firms in a suboptimal partial-migration equilibrium. This study provides theoretical support for refining the “Eastern Data, Western Computing” policy mix and offers generalized insights for other economies facing similar spatial energy–demand asymmetries. Full article

In recent years, the relationship between the gut microbiota and gastrointestinal tumors has become a growing focus in tumor biology research. Ferroptosis, an iron-dependent form of programmed cell death, serves as a crucial link mediating the interaction between the two. This review begins by clarifying the intricate connections among the gut microbiota, ferroptosis, and gastrointestinal tumors. It then systematically summarizes the mediating role of ferroptosis, focusing on iron metabolism, lipid peroxidation, and amino acid metabolism, in facilitating host–microbiota interactions. From a metabolic standpoint, particular emphasis is placed on how the gut microbiota affects ferroptosis in various gastrointestinal tumors, including gastric, pancreatic, liver, and colorectal tumors, through the use of metabolites such as lipopolysaccharides (LPSs), short-chain fatty acids (SCFAs), bile acids (BAs), vitamins, glutamine (Gln), and tryptophan derivatives. A deeper understanding of this complex regulatory network reveals new mechanisms for the development and progression of digestive tract tumors. This insight could inform the development of novel therapeutic strategies targeting the gut microbiota–ferroptosis axis. Additionally, these findings point to the potential clinical value of pursuing this research direction. Full article

Host-modulating therapies and oral microbiome-targeted approaches are emerging options in periodontal care and are especially relevant for patients undergoing immunotherapy for hematologic malignancies. Immune dysregulation induced by immune checkpoint inhibitors or CAR-T cell therapy may worsen periodontal inflammation and alter the composition and functions of the oral microbiota. Beyond these, other immunomodulatory treatments commonly employed in hematologic malignancies—including monoclonal antibodies (e.g., rituximab, daratumumab), immunomodulatory drugs (e.g., lenalidomide, thalidomide), cytokine-based therapies (e.g., interferon-α), and targeted small-molecule inhibitors (e.g., BTK inhibitors, JAK inhibitors) may also influence periodontal homeostasis and oral microbial ecology by altering neutrophil function, cytokine profiles, and mucosal immune surveillance. The oral microbiota is functionally connected with the intestinal microbial ecosystem through the oral–gut axis, by periodontal pathogens may colonize the gut and modulate systemic immune responses, with potential repercussions on the efficacy and safety of immunotherapy. This narrative review examines the mechanisms and clinical applicability of host-modulating therapies, including subantimicrobial-dose doxycycline, omega-3 fatty acids, and microbiome-targeted interventions, such as oral probiotics, prebiotics and other antimicrobials in patients treated with immunotherapy. Full article

Background: The gut microbiota plays a fundamental role in metabolic and immune homeostasis through the production of short-chain fatty acids (SCFAs). These metabolites influence mitochondrial biogenesis, muscle energetics, epithelial barrier stability, and inflammatory regulation via G-protein-coupled receptors, AMPK–PGC-1α signaling, and epigenetic remodeling. Objective: This review synthesizes current evidence on the gut–muscle–immune axis, emphasizing how dietary fermentable substrates, microbial cross-feeding interactions, and structured exercise modulate SCFA production and shape host physiological adaptation. Methods: We integrated findings from human and animal studies, multi-omic analyses, metabolomic and microbiome research, and exercise physiology to outline mechanistic links between microbial metabolism and systemic resilience. Results: Key mechanistic pathways connecting dietary fiber fermentation to mitochondrial function, redox regulation, immune homeostasis, and metabolic plasticity are summarized. We further present the Targeted Gut Protocol 2.0, a conceptual 12-week framework combining fiber-diversity targets, lactate-guided exercise periodization, biomarker monitoring, and adaptive feedback mechanisms to enhance endogenous SCFA availability. Conclusions: SCFA-driven metabolic plasticity provides an integrative model through which lifestyle behaviors can modulate host physiology. Future research should prioritize standardized sampling approaches, causal inference methods, multi-omic integration, and AI-supported personalization to refine mechanistic understanding and strengthen translational potential. Full article

To achieve the optimal energy allocation between the auxiliary power unit (APU) and battery of connected automated range-extended electric vehicle (CAR-EEV), the hierarchical eco-driving control with dynamic game energy management were investigated and the optimization design of APU working mode was carried out from a multi-objective perspective. Initially, the acceleration and speed of the host vehicle were adjusted in real time, based on the driving status of the preceding vehicle, and the ecological driving speed was obtained in the adaptive car-following eco-driving mode. The dynamic game energy management strategy was proposed, leveraging the real-time interactive information between the vehicle and the traffic environment, and intelligently allocating and scheduling the energy flow within the powertrain. Dynamic game optimization was adopted to achieve dynamic decision-making and control optimization on whether to switch the APU operating speed or not. The multi-objective optimization analyses are carried out based on the weight coefficient matrix. The hierarchical dynamic game energy management strategy based on eco-driving speed (HDGEMS) is implemented through dynamic games and exhibits excellent performance. This strategy enables dynamic adjustment of power distribution between the APU and the battery, thereby allowing the APU to operate efficiently under optimal operating conditions. Meanwhile, it effectively reduces secondary charging losses and the dynamic switching time of the APU, and ultimately achieves energy optimization. Eventually, the results of simulation and experimental thoroughly indicated that economy improvement, emission reduction, and battery life enhancement of CAR-EEV were effectively kept in balance under the control of the proposed HDGEMS with intelligent optimization mode. New research ideas and technical directions are provided for the field of EMS, which is expected to promote technological progress in the industry. Full article

The article analyses the hosting capacity of low-voltage (LV) power grids for connecting distributed energy sources (DER), mainly photovoltaic installations (PV), considering technical limitations imposed by power system operating conditions. The main objective of the research was to develop a simple equation that enables the quick estimation of the maximum power of an energy source that can be safely connected at a given point in the network without causing excessive voltage rise or overloading the transformer and line cable. The analysis was performed on the basis of relevant calculation formulas and simulations carried out in DIgSILENT PowerFactory, where a representative low-voltage grid model was developed. The network model included four transformer power ratings (40, 63, 100, and 160 kVA) and four cable cross-sections (25, 35, 50, and 70 mm²), which made it possible to assess the impact of these parameters on grid hosting capacity as a function of the distance from the transformer station. Based on this, the P_HCI indicator was developed to determine the hosting capacity of a low-voltage network, using only the transformer rating and the length and cross-section of the line for the calculations. A comparison of the results obtained using the proposed equation with detailed calculations showed that the approximation error does not exceed 15%, which confirms the high accuracy and practical applicability of the proposed approach. Full article

Amphibian microbial communities are known to be shaped by host physiology and environmental factors, yet the relative roles of sexual dimorphism and tissue specialization remain poorly understood. Using 16S rRNA gene sequencing, we compared the gastrointestinal and integumentary microbiomes of a monomorphic Chinese frog population, Odorrana schmackeri, inhabiting identical montane streams. Our results showed distinct phylogenetic stratification between niches: Proteobacteria dominated both environmental microbiota and O. schmackeri gut and skin microbiotas but with differential sub-phylum specialization. The soil microbiota was dominated by unclassified_Vicinamibacteraceae, the water microbiota was Limnohabitans-dominated, the skin microbiota was dominated by Bordetella, and the gut microbiota was led by Acinetobacter. Alpha diversity analysis revealed significant tissue- and environmental-based divergences but no sexual differentiation, a pattern confirmed by beta diversity assessments showing stronger microbial community separation by tissue and environmental compartmentalization than by sex. Functional metagenomic prediction indicated convergent enrichment of metabolic pathways across host-associated and environmental communities. These results suggest that microbial community structure in O. schmackeri is principally governed by tissue-specific ecological selection pressures rather than host sexual characteristics. Our findings enhance understanding of microbiome assembly rules in vertebrate ectotherms and identify potential connections between microbiota in different ecological niches. Full article

The rapid rise in variable renewable energy sources such as wind and solar introduces significant volatility and uncertainty into electricity grids, underscoring the critical need for increased system flexibility to ensure stability and reliability. Long-duration energy storage (LDES) technologies are emerging as essential solutions for meeting needs by enabling the storage and dispatch of energy over extended periods—from several hours to days or even weeks. The existing literature and system studies focus predominantly on centralized LDES providing seasonal arbitrage under idealized “copper plate” grid assumptions, while the broader distribution grid services and the specific role of distributed LDES and its benefits to the distribution grid remain largely underexplored. This paper presents a structured literature review on studies published between 2015 and 2025 that explicitly address grid-connected LDES at the distribution level. The review synthesizes the portfolio of services provided by distributed LDES—ranging from seasonal arbitrage, curtailment reduction, and hosting capacity enhancement to T&D deferral, resilience, and hydrogen co-products—and compares techno-economic characteristics, modeling approaches, and optimization objectives across studies. On this basis, the review identifies the main research gaps and contribution areas and gives direction for future research. Full article

Background: This study reports on a community engagement knowledge-translation world café hosted in British Columbia, built on the research project “Enhancing cancer navigation for newly diagnosed, treated and post-treatment of people living with breast cancer in interior region”. The aim was to co-create a knowledge translation initiative with community stakeholders to enhance interdisciplinary approaches to psychosocial oncology. Methods: This study drew on implementation science and the consolidated framework for implementation research, which emphasize the importance of creating partnerships between researchers and engaging people for whom the research is meant to be of use—knowledge users and service users. Guided world café and purposeful sampling were used to engage a diverse range of stakeholders. Eighty stakeholders participated in this study from April 2023 to April 2024. Thematic analysis was conducted through familiarization, coding, theme development, review, definition, and reporting. Results: Eleven key themes emerged, including compassionate connection, time as a healing gift, empowering health literacy, informed compassion, holistic support ecosystem, empowering patient navigators, shared decision-making, empowering partnerships, digital–physical synergy, person-centered transformation, and accountability and collaboration. Conclusions: The key findings highlighted the need for continuous professional development for primary care providers, integrating patient-reported outcomes in electronic health records, leveraging digital health tools, and establishing community-engaged psychosocial oncology hubs to enhance care in rural communities. Recommendation: Recommendations include ongoing professional learning, embedding patient voices and lived experiences into care planning through digital tools, and empowering rural and diverse communities through inclusive and accessible cancer models of care. Full article

Hulun Lake, a UNESCO Biosphere Reserve, faces mounting threats from extreme climate events and anthropogenic pressures, highlighting the need for robust biodiversity monitoring. Environmental DNA (eDNA) has emerged as a promising tool for aquatic biomonitoring, yet different bioinformatic pipelines—such as Amplicon Sequence Variant (ASV) and Operational Taxonomic Unit (OTU) clustering—may yield divergent results. This study compares ASV and OTU clustering approaches in eDNA metabarcoding alongside traditional capture-based surveys to assess fish diversity in Hulun Lake. Across all methods, we identified 43 taxa (40 species), including the critically endangered Acheilognathus hypselonotus and vulnerable Choi’s spiny loach (Cobitis choii). While eDNA methods detected 2~3 times more species than in nets (13 species), strong methodological correlations (p < 0.001) were observed between net frequencies and eDNA-derived relative abundances (based on both ASV and OTU datasets using 4th-root and log transformations). Clustering analysis of capture-based data revealed four distinct ecological zones: the areas near tourist facilities, Wuerxun River inflow region, Wulan Nuoer Lake (connected via the Wuerxun River), and the Lake Centre. Significant spatial variation (p < 0.05) between these four zones was found in eDNA datasets, whereas nets captured more heterogeneous patterns, consistent with previous studies. Community structures were shaped by both generalists (e.g., Cyprinus carpio, Hemiculter bleekeri) and habitat specialists such as Amur catfish (Silurus asotus). The Lake Centre hosted a unique assemblage, likely due to reduced human disturbance. Overall, both eDNA clustering methods outperformed capture-based survey in detecting species richness and offered semi-quantitative insights. However, discrepancies between ASV and OTU approaches were evident in resolving fine-scale community differences. We recommend an integrated monitoring strategy that combines the sensitivity of eDNA with the abundance resolution of net captured to inform spatially targeted conservation and habitat protection in this vulnerable ecosystem. Full article

The exploration potential, storage capacity, and exploitability of the deep shale-gas reservoirs are governed by various characteristics of their pore networks. Conventional methods cannot fully capture these features across scales, highlighting the need for an integrated, multi-technique approach. In this study, pore structure and connectivity of the Wufeng–Longmaxi Formation (Luzhou Block) were investigated using Scanning Electron Microscopy (SEM) with the Mosaic Acquisition and Positioning System (MAPS), ImageJ (ImageJ 2.14.0)-based pore analysis, Mercury Intrusion Porosimetry (MIP), and Nuclear Magnetic Resonance (NMR). Based on the samples from eight reservoir layers of Wufeng-WF and Longmaxi-LM1₁^1–7, shale pore connectivity was classified into three grades. Grade A layers, with connected pore volumes above 0.0067 cm³/g and porosity exceeding 1.75%, showed trimodal NMR pore-size distributions and strong connectivity among micro, meso, and macropores. Grade B layers exhibited bimodal pore distributions, moderate pore connectivity (0.0057–0.0067 cm³/g; 1.55–1.75% porosity), and sponge-like organic pores with isolated mineral pores. Grade C layers, with connected pore volumes below 0.0057 cm³/g, showed poor connectivity and unimodal NMR responses. Connected pores (1–100 nm) contributed 20–35% of total pore volume, reflecting the strong heterogeneity of the formation. Interconnected inorganic mineral-hosted pores were found to link locally connected organic pores, forming continuous pore networks. The qualitative and quantitative identification of the pore connectivity of shale reservoirs with MAPS, MIP, and NMR approach provides a robust framework for evaluating shale pore connectivity and identifying high-quality reservoir targets. Full article

Food has a massive influence on the gut microbiota and is one of the most useful therapeutic levers in disease. Recent developments have highlighted how macronutrient balance, food format, and functional ingredients can regulate microbial diversity, metabolism, and host physiology in companion animals such as dogs and cats. This narrative review condenses evidence on the bidirectional gut microbiota–diet connection and on nutritional therapy for gastrointestinal, metabolic, renal, hepatic, and immune-mediated disorders. Protein-based diets including high or hydrolyzed protein, omega-3 acids, fermentative fiber, and probiotics can positively affect microbial composition, stimulate short-chain fatty acid synthesis, and enhance intestinal barrier functions. Conversely, excess fats or refined carbohydrates may cause dysbiosis, inflammation, and metabolic imbalances. Numerous studies have shown that therapeutic nutrition—e.g., low-protein renoprotective, hepatoprotective antioxidants, and allergen-elimination diets—holds enormous potential for treatment. In addition, fecal microbiota transplantation (FMT) can be used as an additive therapy for resistant gastrointestinal illnesses. Despite these developments, constraints remain in terms of standardization, study duration, and species-specific data, especially for cats. This review underscores dietary modification as a clinically actionable tool for microbiota-targeted therapy and calls for integrative, multi-omics research to translate microbiome modulation into precision nutrition for companion animals. Full article