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9 pages, 1406 KiB  
Proceeding Paper
Disaster-Based Mobile Learning System Using Technology Acceptance Model
by John A. Bacus
Eng. Proc. 2025, 103(1), 5; https://doi.org/10.3390/engproc2025103005 (registering DOI) - 6 Aug 2025
Abstract
Recently, the usage of mobile phone-based games has increased due to the growing accessibility and convenience they provide. Using a descriptive-quantitative design, a disaster-based mobile application was developed in this study to enhance disaster literacy among the private senior high schools in science, [...] Read more.
Recently, the usage of mobile phone-based games has increased due to the growing accessibility and convenience they provide. Using a descriptive-quantitative design, a disaster-based mobile application was developed in this study to enhance disaster literacy among the private senior high schools in science, technology, engineering, and mathematics (STEM) education in Davao City, the Philippines. The developed application was provided together with survey questionnaires to 364 students randomly selected from different schools in Davao City usingF a simple random sampling method. The technology acceptance (TAM) model was used to explain how users accepted the new technology. The mobile application was designed with features in four disaster scenarios—fire, flood, volcano, and earthquake. The results revealed a high acceptance, with an average score of the perceived usefulness (PE) of 4.52, perceived ease of use (PEOU) of 4.44, and a behavioral intention (BI) of 4.12. The students accepted the application to enhance disaster risk reduction and management. Aligned with SDG 4 and SDG 11, the application can be used to equip users with the knowledge to respond to disasters and ensure community resilience. Full article
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24 pages, 1074 KiB  
Article
Effective BIM Curriculum Development for Construction Management Program Transformation Through a Change Management Lens
by Ki Pyung Kim, Rob Freda and Seoung-Wook Whang
Buildings 2025, 15(15), 2775; https://doi.org/10.3390/buildings15152775 (registering DOI) - 6 Aug 2025
Abstract
Integrating BIM curriculum into traditional construction management (CM) programs is essential to meet the increasing industry demand for BIM-ready graduates. However, academia struggles with BIM curriculum integration due to unfamiliar emerging BIM technologies, and the increased workload associated with curriculum transformation. Disciplines including [...] Read more.
Integrating BIM curriculum into traditional construction management (CM) programs is essential to meet the increasing industry demand for BIM-ready graduates. However, academia struggles with BIM curriculum integration due to unfamiliar emerging BIM technologies, and the increased workload associated with curriculum transformation. Disciplines including nursing, health science, and medical overcame the same challenges using the ability-desire-knowledge-ability-reinforcement (ADKAR) change management model, while CM programs have not explored this model for BIM curriculum development. Thus, this research introduces the ADKAR change management lens to BIM curriculum development by proposing a practically modified and replicable ADKAR model for CM programs. Focus group interviews with 14 academics from the UK, USA, Korea, and Australia, revealed establishing a sense of urgency by appointing a BIM champion is the most critical step before the BIM curriculum development. Instant advice demystifying uncertain BIM concepts is recognised the most effective motivation among academia. Well-balanced BIM concept integrations is ‘sine qua non’ since excessively saturating BIM aspects across the program can dilute students’ essential domain knowledge. Students’ evaluation over the BIM curriculum were collected through a six-year longitudinal focus group interviews, revealing that progressive BIM learnings scaffolded from foundational concepts to advanced applications throughout their coursework is the most valuable. Full article
(This article belongs to the Section Construction Management, and Computers & Digitization)
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15 pages, 1458 KiB  
Article
Effect of Precipitation Change on Desert Steppe Aboveground Productivity
by Yonghong Luo, Jiming Cheng, Ziyu Cao, Haixiang Zhang, Pengcuo Danba, Jiazhi Wang, Ying Wang, Rong Zhang, Chao Zhang, Yingqun Feng and Shuhua Wei
Biology 2025, 14(8), 1010; https://doi.org/10.3390/biology14081010 (registering DOI) - 6 Aug 2025
Abstract
Precipitation changes have significant impacts on biodiversity and ecosystem productivity. However, the effects of precipitation changes on species diversity have been the focus of most previous studies. Little is known about the contributions of different dimensions of biodiversity (species, functional, and phylogenetic diversity) [...] Read more.
Precipitation changes have significant impacts on biodiversity and ecosystem productivity. However, the effects of precipitation changes on species diversity have been the focus of most previous studies. Little is known about the contributions of different dimensions of biodiversity (species, functional, and phylogenetic diversity) in linking long-term precipitation changes to ecosystem functions. In this study, a randomized design was conducted in the desert steppes of Ningxia, which included three treatments: natural rainfall, precipitation reduced by 50%, and precipitation increased by 50%. After 4 years of treatment, the effects of precipitation changes on aboveground productivity and its underlying mechanisms were explored. The results showed that (1) reduced precipitation significantly decreased phylogenetic diversity and species diversity, but had no significant effect on functional diversity; (2) reduced precipitation significantly decreased aboveground productivity, while increased precipitation significantly enhanced aboveground productivity; and (3) changes in precipitation primarily regulated aboveground productivity by altering soil nitrogen availability and the size of dominant plant species. This study provides important theoretical and practical guidance for the protection and management of desert steppe vegetation under future climate change. Full article
(This article belongs to the Section Ecology)
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28 pages, 1211 KiB  
Review
Phosphorus in Salmonid Aquaculture: Sources, Requirements, and System-Level Implications
by Vegard Øvstetun Flo, Torbjørn Åsgård and Odd-Ivar Lekang
Fishes 2025, 10(8), 388; https://doi.org/10.3390/fishes10080388 (registering DOI) - 6 Aug 2025
Abstract
This review provides a comprehensive synthesis of phosphorus (P) dynamics relevant to salmonid aquaculture, with a particular focus on Atlantic salmon. It explores the global P cycle, the chemical forms of P in aquatic systems, and the implications of P sourcing, processing, and [...] Read more.
This review provides a comprehensive synthesis of phosphorus (P) dynamics relevant to salmonid aquaculture, with a particular focus on Atlantic salmon. It explores the global P cycle, the chemical forms of P in aquatic systems, and the implications of P sourcing, processing, and availability in aquafeeds. The review distinguishes between digestibility and availability of P, summarizes requirement studies, and evaluates the contribution of marine, animal, vegetable, and inorganic sources to dietary P. It also examines how aquaculture system design, particularly recirculating aquaculture systems (RASs), influences P accumulation and emissions. By integrating nutritional, physiological, and environmental perspectives, this review offers a uniquely holistic view of P efficiency and sustainability in salmonid aquaculture. Full article
(This article belongs to the Section Sustainable Aquaculture)
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10 pages, 713 KiB  
Article
Pulse Steroid Therapy for Severe Acute Respiratory Distress Syndrome: A Propensity Score-Matched Analysis
by Yasumasa Kawano, Junichi Maruyama, Mitsuaki Nishikimi, Hisatomi Arima, Yuhei Irie, Shinichi Morimoto, Kentaro Muranishi, Maiko Nakashio and Yoshihiko Nakamura
J. Clin. Med. 2025, 14(15), 5547; https://doi.org/10.3390/jcm14155547 (registering DOI) - 6 Aug 2025
Abstract
Background/Objectives: Low-dose corticosteroids have gained popularity in the treatment of acute respiratory distress syndrome (ARDS); however, the efficacy of high-dose corticosteroids as pulse steroid therapy remains controversial. This study aimed to evaluate the efficacy of pulse steroid therapy in patients with severe ARDS [...] Read more.
Background/Objectives: Low-dose corticosteroids have gained popularity in the treatment of acute respiratory distress syndrome (ARDS); however, the efficacy of high-dose corticosteroids as pulse steroid therapy remains controversial. This study aimed to evaluate the efficacy of pulse steroid therapy in patients with severe ARDS requiring venovenous (V-V) extracorporeal membrane oxygenation (ECMO), where enhanced anti-inflammatory effects may be beneficial. Methods: Using data from the J-CARVE registry, which included patients with severe ARDS managed with V-V ECMO across 24 Japanese hospitals between January 2012 and December 2022, we identified 373 patients treated with corticosteroids. The patients were divided into two groups: pulse steroid therapy and non-pulse steroid therapy. Propensity score matching was performed, and all-cause hospital mortality and ECMO-free days within 28 days were compared between groups. Pulse steroid therapy was defined as methylprednisolone at a dose of 1000 mg/day. Results: After matching, 48 patients were included in each group. The all-cause hospital mortality rates were 41.7% (20/48) in the pulse steroid group and 47.9% (23/48) in the non-pulse steroid group, with no significant difference (odds ratio, 1.28; 95% confidence interval: 0.53–3.12, p = 0.68). The median ECMO-free days were 9.5 (interquartile range [IQR]: 0–17.3) in the pulse steroid group and 3 (IQR: 0–17) in the non-pulse steroid group, showing no significant difference (p = 0.69). Conclusions: Pulse steroid therapy did not improve all-cause hospital mortality or ECMO-free days in patients with severe ARDS who required V-V ECMO. Full article
(This article belongs to the Section Emergency Medicine)
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14 pages, 1122 KiB  
Article
Revisiting Cytoreductive Nephrectomy in Metastatic Renal Cell Carcinoma: Real-World Evidence of Survival Benefit with First-Line Immunotherapy and Targeted Therapy Regimens
by Sri Saran Manivasagam, Alireza Aminsharifi and Jay D. Raman
J. Clin. Med. 2025, 14(15), 5543; https://doi.org/10.3390/jcm14155543 (registering DOI) - 6 Aug 2025
Abstract
Background: Renal cell carcinoma (RCC) is a common malignancy with a rising global incidence. While cytoreductive nephrectomy (CRN) was historically a cornerstone in the management of metastatic RCC (mRCC), its role has been questioned following pivotal trials such as CARMENA and SURTIME. [...] Read more.
Background: Renal cell carcinoma (RCC) is a common malignancy with a rising global incidence. While cytoreductive nephrectomy (CRN) was historically a cornerstone in the management of metastatic RCC (mRCC), its role has been questioned following pivotal trials such as CARMENA and SURTIME. With the advent of immune checkpoint inhibitors (ICIs) and targeted therapies, the contemporary relevance of CRN coupled with first-line immunotherapy and targeted therapy combination regimens warrants re-evaluation. Methods: This retrospective cohort study utilized the TriNetX research network to identify patients aged 18–90 years diagnosed with mRCC between 2005 and 2024 who received first-line systemic therapies. Patients were stratified into two cohorts based on receipt of CRN status within one year of diagnosis. Propensity score matching (1:1) was done to adjust baseline characteristics. Kaplan–Meier survival analysis and Cox proportional hazards modeling were used to compare five-year overall survival between the groups. Results: Among 5960 eligible patients, 1776 (888 CRN matched to 888 who did not) formed the cohort of analysis. The CRN group demonstrated significantly higher five-year survival (57.7% vs. 45.0%, p < 0.0001) with a hazard ratio of 1.56 (95% CI: 1.33–1.83). Subgroup analyses showed consistent survival benefits across all four NCCN-recommended first-line regimens—Axitinib + Pembrolizumab: 64.0% (CRN) vs. 53.3% (no CRN), p = 0.01; Cabozantinib + Nivolumab: 50.1% vs. 40.4%, p = 0.004; Lenvatinib + Pembrolizumab: 37.4% vs. 22.8%, p = 0.012; Nivolumab + Ipilimumab: 56.4% vs. 46.1%, p = 0.005. Conclusions: In the era of modern immunotherapy and targeted agents, CRN remains associated with improved survival in patients with mRCC receiving NCCN-recommended first-line regimens. These findings support the continued evaluation of CRN as a component of multimodal therapy, particularly in patients with favorable risk profiles. Full article
(This article belongs to the Section Nephrology & Urology)
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19 pages, 1185 KiB  
Article
PredictMed-CDSS: Artificial Intelligence-Based Decision Support System Predicting the Probability to Develop Neuromuscular Hip Dysplasia
by Carlo M. Bertoncelli, Federico Solla, Michal Latalski, Sikha Bagui, Subhash C. Bagui, Stefania Costantini and Domenico Bertoncelli
Bioengineering 2025, 12(8), 846; https://doi.org/10.3390/bioengineering12080846 (registering DOI) - 6 Aug 2025
Abstract
Neuromuscular hip dysplasia (NHD) is a common deformity in children with cerebral palsy (CP). Although some predictive factors of NHD are known, the prediction of NHD is in its infancy. We present a Clinical Decision Support System (CDSS) designed to calculate the probability [...] Read more.
Neuromuscular hip dysplasia (NHD) is a common deformity in children with cerebral palsy (CP). Although some predictive factors of NHD are known, the prediction of NHD is in its infancy. We present a Clinical Decision Support System (CDSS) designed to calculate the probability of developing NHD in children with CP. The system utilizes an ensemble of three machine learning (ML) algorithms: Neural Network (NN), Support Vector Machine (SVM), and Logistic Regression (LR). The development and evaluation of the CDSS followed the DECIDE-AI guidelines for AI-driven clinical decision support tools. The ensemble was trained on a data series from 182 subjects. Inclusion criteria were age between 12 and 18 years and diagnosis of CP from two specialized units. Clinical and functional data were collected prospectively between 2005 and 2023, and then analyzed in a cross-sectional study. Accuracy and area under the receiver operating characteristic (AUROC) were calculated for each method. Best logistic regression scores highlighted history of previous orthopedic surgery (p = 0.001), poor motor function (p = 0.004), truncal tone disorder (p = 0.008), scoliosis (p = 0.031), number of affected limbs (p = 0.05), and epilepsy (p = 0.05) as predictors of NHD. Both accuracy and AUROC were highest for NN, 83.7% and 0.92, respectively. The novelty of this study lies in the development of an efficient Clinical Decision Support System (CDSS) prototype, specifically designed to predict future outcomes of neuromuscular hip dysplasia (NHD) in patients with cerebral palsy (CP) using clinical data. The proposed system, PredictMed-CDSS, demonstrated strong predictive performance for estimating the probability of NHD development in children with CP, with the highest accuracy achieved using neural networks (NN). PredictMed-CDSS has the potential to assist clinicians in anticipating the need for early interventions and preventive strategies in the management of NHD among CP patients. Full article
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20 pages, 2104 KiB  
Article
Landscape Heterogeneity and Transition Drive Wildfire Frequency in the Central Zone of Chile
by Mariam Valladares-Castellanos, Guofan Shao and Douglass F. Jacobs
Remote Sens. 2025, 17(15), 2721; https://doi.org/10.3390/rs17152721 (registering DOI) - 6 Aug 2025
Abstract
Wildfire regimes are closely linked to changes in landscape structure, yet the influence of accelerated land use transitions on fire activity remains poorly understood, particularly in rapidly transforming regions like central Chile. Although land use change has been extensively documented in the country, [...] Read more.
Wildfire regimes are closely linked to changes in landscape structure, yet the influence of accelerated land use transitions on fire activity remains poorly understood, particularly in rapidly transforming regions like central Chile. Although land use change has been extensively documented in the country, the specific role of the speed, extent, and spatial configuration of these transitions in shaping fire dynamics requires further investigation. To address this gap, we examined how landscape transitions influence fire frequency in central Chile, a region experiencing rapid land use change and heightened fire activity. Using multi-temporal remote sensing data, we quantified land use transitions, calculated landscape metrics to describe their spatial characteristics, and applied intensity analysis to assess their relationship with fire frequency changes. Our results show that accelerated landscape transitions significantly increased fire frequency, particularly in areas affected by forest plantation rotations, new forest establishment, and urban expansion, with changes exceeding uniform intensity expectations. Regional variations were evident: In the more densely populated northern areas, increased fire frequency was primarily linked to urban development and deforestation, while in the more rural southern regions, forest plantation cycles played a dominant role. Areas with a high number of large forest patches were especially prone to fire frequency increases. These findings demonstrate that both the speed and spatial configuration of landscape transitions are critical drivers of wildfire activity. By identifying the specific land use changes and landscape characteristics that amplify fire risks, this study provides valuable knowledge to inform fire risk reduction, landscape management, and urban planning in Chile and other fire-prone regions undergoing rapid transformation. Full article
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14 pages, 982 KiB  
Article
Effectiveness of a Learning Pathway on Food and Nutrition in Amyotrophic Lateral Sclerosis
by Karla Mônica Dantas Coutinho, Humberto Rabelo, Felipe Fernandes, Karilany Dantas Coutinho, Ricardo Alexsandro de Medeiros Valentim, Aline de Pinho Dias, Janaína Luana Rodrigues da Silva Valentim, Natalia Araújo do Nascimento Batista, Manoel Honorio Romão, Priscila Sanara da Cunha, Aliete Cunha-Oliveira, Susana Henriques, Luciana Protásio de Melo, Sancha Helena de Lima Vale, Lucia Leite-Lais and Kenio Costa de Lima
Nutrients 2025, 17(15), 2562; https://doi.org/10.3390/nu17152562 (registering DOI) - 6 Aug 2025
Abstract
Background/Objectives: Health education plays a vital role in training health professionals and caregivers, supporting both prevention and the promotion of self-care. In this context, technology serves as a valuable ally by enabling continuous and flexible learning. Among the various domains of health education, [...] Read more.
Background/Objectives: Health education plays a vital role in training health professionals and caregivers, supporting both prevention and the promotion of self-care. In this context, technology serves as a valuable ally by enabling continuous and flexible learning. Among the various domains of health education, nutrition stands out as a key element in the management of Amyotrophic Lateral Sclerosis (ALS), helping to prevent malnutrition and enhance patient well-being. Accordingly, this study aimed to evaluate the effectiveness of the teaching and learning processes within a learning pathway focused on food and nutrition in the context of ALS. Methods: This study adopted a longitudinal, quantitative design. The learning pathway, titled “Food and Nutrition in ALS,” consisted of four self-paced and self-instructional Massive Open Online Courses (MOOCs), offered through the Virtual Learning Environment of the Brazilian Health System (AVASUS). Participants included health professionals, caregivers, and patients from all five regions of Brazil. Participants had the autonomy to complete the courses in any order, with no prerequisites for enrollment. Results: Out of 14,263 participants enrolled nationwide, 182 were included in this study after signing the Informed Consent Form. Of these, 142 (78%) completed at least one course and participated in the educational intervention. A significant increase in knowledge was observed, with mean pre-test scores rising from 7.3 (SD = 1.8) to 9.6 (SD = 0.9) on the post-test across all courses (p < 0.001). Conclusions: The self-instructional, technology-mediated continuing education model proved effective in improving participants’ knowledge about nutrition in ALS. Future studies should explore knowledge retention, behavior change, and the impact of such interventions on clinical outcomes, especially in multidisciplinary care settings. Full article
(This article belongs to the Section Geriatric Nutrition)
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14 pages, 541 KiB  
Review
Foreign Language Syndrome: Neurological and Psychiatric Aspects
by Ansam Eghzawi, Ali Madha and Rany Aburashed
Neurol. Int. 2025, 17(8), 122; https://doi.org/10.3390/neurolint17080122 (registering DOI) - 6 Aug 2025
Abstract
Foreign Language Syndrome (FLS) is a rare neuropsychiatric condition characterized by the sudden, involuntary use of a non-native language, with concurrent loss or suppression of the native language. Distinct from Foreign Accent Syndrome (FAS), FLS often arises acutely following anesthesia, brain injury, or [...] Read more.
Foreign Language Syndrome (FLS) is a rare neuropsychiatric condition characterized by the sudden, involuntary use of a non-native language, with concurrent loss or suppression of the native language. Distinct from Foreign Accent Syndrome (FAS), FLS often arises acutely following anesthesia, brain injury, or psychological stress. Although neuroimaging typically reveals no structural pathology, functional disconnection within bilingual language control systems has been hypothesized. Case reports suggest contributions from both neurological disruptions—such as transient cortical dysfunction—and psychiatric mechanisms, including dissociation and conversion phenomena. This review synthesizes the clinical features, diagnostic strategies, neurocognitive models, and psychiatric interpretations of FLS. It emphasizes the importance of multidisciplinary evaluation and treatment and outlines prognosis patterns. The need for longitudinal follow-up, functional imaging studies, and centralized case databases is highlighted to better understand the pathophysiology and clinical management of this enigmatic syndrome. Full article
(This article belongs to the Section Brain Tumor and Brain Injury)
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18 pages, 7706 KiB  
Review
The Role of Imaging in Ventricular Tachycardia Ablation
by Pasquale Notarstefano, Michele Ciabatti, Carmine Marallo, Mirco Lazzeri, Aureliano Fraticelli, Valentina Tavanti, Giulio Zucchelli, Angelica La Camera and Leonardo Bolognese
Diagnostics 2025, 15(15), 1973; https://doi.org/10.3390/diagnostics15151973 (registering DOI) - 6 Aug 2025
Abstract
Ventricular tachycardia (VT) remains a major cause of morbidity and mortality in patients with structural heart disease. While catheter ablation has become a cornerstone in VT management, recurrence rates remain substantial due to limitations in electroanatomic mapping (EAM), particularly in cases of deep [...] Read more.
Ventricular tachycardia (VT) remains a major cause of morbidity and mortality in patients with structural heart disease. While catheter ablation has become a cornerstone in VT management, recurrence rates remain substantial due to limitations in electroanatomic mapping (EAM), particularly in cases of deep or heterogeneous arrhythmogenic substrates. Cardiac imaging, especially when multimodal and integrated with mapping systems, has emerged as a critical adjunct to enhance procedural efficacy, safety, and individualized strategy. This comprehensive review explores the evolving role of various imaging modalities, including echocardiography, cardiac magnetic resonance (CMR), computed tomography (CT), positron emission tomography (PET), and intracardiac echocardiography (ICE), in the preprocedural and intraprocedural phases of VT ablation. We highlight their respective strengths in substrate identification, anatomical delineation, and real-time guidance. While limitations persist, including costs, availability, artifacts in device carriers, and lack of standardization, future advances are likely to redefine procedural workflows. Full article
(This article belongs to the Special Issue Advances in Diagnosis and Treatment of Cardiac Arrhythmias 2025)
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25 pages, 77176 KiB  
Article
Advancing Energy Management Strategies for Hybrid Fuel Cell Vehicles: A Comparative Study of Deterministic and Fuzzy Logic Approaches
by Mohammed Essoufi, Mohammed Benzaouia, Bekkay Hajji, Abdelhamid Rabhi and Michele Calì
World Electr. Veh. J. 2025, 16(8), 444; https://doi.org/10.3390/wevj16080444 (registering DOI) - 6 Aug 2025
Abstract
The increasing depletion of fossil fuels and their environmental impact have led to the development of fuel cell hybrid electric vehicles. By combining fuel cells with batteries, these vehicles offer greater efficiency and zero emissions. However, their energy management remains a challenge requiring [...] Read more.
The increasing depletion of fossil fuels and their environmental impact have led to the development of fuel cell hybrid electric vehicles. By combining fuel cells with batteries, these vehicles offer greater efficiency and zero emissions. However, their energy management remains a challenge requiring advanced strategies. This paper presents a comparative study of two developed energy management strategies: a deterministic rule-based approach and a fuzzy logic approach. The proposed system consists of a proton exchange membrane fuel cell (PEMFC) as the primary energy source and a lithium-ion battery as the secondary source. A comprehensive model of the hybrid powertrain is developed to evaluate energy distribution and system behaviour. The control system includes a model predictive control (MPC) method for fuel cell current regulation and a PI controller to maintain DC bus voltage stability. The proposed strategies are evaluated under standard driving cycles (UDDS and NEDC) using a simulation in MATLAB/Simulink. Key performance indicators such as fuel efficiency, hydrogen consumption, battery state-of-charge, and voltage stability are examined to assess the effectiveness of each approach. Simulation results demonstrate that the deterministic strategy offers a structured and computationally efficient solution, while the fuzzy logic approach provides greater adaptability to dynamic driving conditions, leading to improved overall energy efficiency. These findings highlight the critical role of advanced control strategies in improving FCHEV performance and offer valuable insights for future developments in hybrid-vehicle energy management. Full article
(This article belongs to the Special Issue Power and Energy Systems for E-Mobility, 2nd Edition)
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23 pages, 394 KiB  
Article
Integrated ERP Systems—Determinant Factors for Their Adoption in Romanian Organizations
by Octavian Dospinescu and Sabin Buraga
Systems 2025, 13(8), 667; https://doi.org/10.3390/systems13080667 (registering DOI) - 6 Aug 2025
Abstract
This study examines the factors influencing the adoption of enterprise resource planning (ERP) systems within Romanian organizations. The objective is to develop a comprehensive framework for ERP adoption decisions, thereby advancing the field of knowledge and offering managerial insights. To accomplish this research [...] Read more.
This study examines the factors influencing the adoption of enterprise resource planning (ERP) systems within Romanian organizations. The objective is to develop a comprehensive framework for ERP adoption decisions, thereby advancing the field of knowledge and offering managerial insights. To accomplish this research goal, a questionnaire is envisioned, employing various research hypotheses, and distributed to a representative sample. Quantitative econometric regression analysis is employed, considering potential factors such as user training and education, competitive pressures, user involvement and participation, decentralized ERP features, top management support, data quality, the quality of the ERP system, cost and budget considerations, and business process reengineering. Of the 12 factors analyzed, 9 were found to be relevant in terms of influence on the decision to adopt ERP systems, in the context of the Romanian market. The other three factors were found to be irrelevant, thus obtaining results partially different from other areas of the world. By validating the hypotheses and answering the research questions, this work addresses a research gap regarding the lack of a comprehensive understanding of the influencing factors that shape the adoption process of ERP systems in Romania. Full article
(This article belongs to the Special Issue Management Control Systems in the Era of Digital Transformation)
16 pages, 4197 KiB  
Review
Conformational Dynamics and Structural Transitions of Arginine Kinase: Implications for Catalysis and Allergen Control
by Sung-Min Kang
Life 2025, 15(8), 1248; https://doi.org/10.3390/life15081248 (registering DOI) - 6 Aug 2025
Abstract
Arginine kinase is a key phosphagen kinase in invertebrates that facilitates rapid ATP regeneration by reversibly transferring phosphate groups between phosphoarginine and ADP. Structural studies have shown that the enzyme adopts distinct conformations in its ligand-free and ligand-bound states, known as the “open” [...] Read more.
Arginine kinase is a key phosphagen kinase in invertebrates that facilitates rapid ATP regeneration by reversibly transferring phosphate groups between phosphoarginine and ADP. Structural studies have shown that the enzyme adopts distinct conformations in its ligand-free and ligand-bound states, known as the “open” and “closed” forms, respectively. These conformational changes are crucial for catalytic activity, enabling precise positioning of active-site residues and loop closure during phosphoryl transfer. Transition-state analog complexes have provided additional insights by mimicking intermediate states of catalysis, supporting the functional relevance of the open/closed structural model. Furthermore, studies across multiple species reveal how monomeric and dimeric forms of arginine kinase contribute to its allosteric regulation and substrate specificity. Beyond its metabolic role, arginine kinase is also recognized as a major allergen in crustaceans. Its structural uniqueness and absence in vertebrates make it a promising candidate for selective drug targeting. By integrating crystallographic data with functional context, this review highlights conserved features and species-specific variations of arginine kinase that may inform the design of inhibitors. Such molecules have the potential to serve both as antiparasitic agents and as novel therapeutics to manage crustacean-related allergic responses in humans. Full article
(This article belongs to the Section Proteins and Proteomics)
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18 pages, 11555 KiB  
Article
Impacts of Land Use and Hydrological Regime on the Spatiotemporal Distribution of Ecosystem Services in a Large Yangtze River-Connected Lake Region
by Ying Huang, Xinsheng Chen, Ying Zhuo and Lianlian Zhu
Water 2025, 17(15), 2337; https://doi.org/10.3390/w17152337 (registering DOI) - 6 Aug 2025
Abstract
In river-connected lake regions, both land use and hydrological regime changes may affect the ecosystem services; however, few studies have attempted to elucidate their complex influences. In this study, the spatiotemporal dynamics of eight ecosystem services (crop production, aquatic production, water yield, soil [...] Read more.
In river-connected lake regions, both land use and hydrological regime changes may affect the ecosystem services; however, few studies have attempted to elucidate their complex influences. In this study, the spatiotemporal dynamics of eight ecosystem services (crop production, aquatic production, water yield, soil retention, flood regulation, water purification, net primary productivity, and habitat quality) were investigated through remote-sensing images and the InVEST model in the Dongting Lake Region during 2000–2020. Results revealed that crop and aquatic production increased significantly from 2000 to 2020, particularly in the northwestern and central regions, while soil retention and net primary productivity also improved. However, flood regulation, water purification, and habitat quality decreased, with the fastest decline in habitat quality occurring at the periphery of the Dongting Lake. Land-use types accounted for 63.3%, 53.8%, and 40.3% of spatial heterogeneity in habitat quality, flood regulation, and water purification, respectively. Land-use changes, particularly the expansion of construction land and the conversion of water bodies to cropland, led to a sharp decline in soil retention, flood regulation, water purification, net primary productivity, and habitat quality. In addition, crop production and aquatic production were higher in cultivated land and residential land, while the accompanying degradation of flood regulation, water purification, and habitat quality formed a “production-pollution-degradation” spatial coupling pattern. Furthermore, hydrological fluctuations further complicated these dynamics; wet years amplified agricultural outputs but intensified ecological degradation through spatial spillover effects. These findings underscore the need for integrated land-use and hydrological management strategies that balance human livelihoods with ecosystem resilience. Full article
(This article belongs to the Section Ecohydrology)
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