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27 pages, 3191 KB  
Article
Business Process Optimization for a Greener Future: The Russian Experience in Operational Management
by Nadezhda Shmeleva, Tatyana Tolstykh, Tatiana Guseva, Tatiana Khoroshilova and Denis Lazarenko
Sustainability 2026, 18(8), 3691; https://doi.org/10.3390/su18083691 - 8 Apr 2026
Abstract
The relevance of this study is driven by the need to develop new mechanisms and tools aimed at improving the technological, resource, and economic efficiencies of industrial businesses while minimizing their negative environmental impacts and enhancing their environmental performances. Although such approaches as [...] Read more.
The relevance of this study is driven by the need to develop new mechanisms and tools aimed at improving the technological, resource, and economic efficiencies of industrial businesses while minimizing their negative environmental impacts and enhancing their environmental performances. Although such approaches as the theory of constraints, the concept of sustainable development, and principles of Best Available Techniques have garnered attention individually, their combined, interdisciplinary application to the streamlining of business processes in industry has not yet been fully explored. The purpose of this study is to demonstrate the advisability of managing business processes based on the principles of resource efficiency enhancement by preventing irrational resource consumption, production losses, pollution and waste in the context of the Sustainable Development Goals. This article analyzes the current state of research business process optimization for a greener future. The proposed methodological approach is based on ranking business processes according to their levels of resource efficiency. Business process engineering and an evaluation of its outcomes in terms of resource efficiency were conducted using a case study of a building materials manufacturer in Northwest Russia. Various business management scenarios were developed to improve resource efficiency through process engineering initiatives. The findings of this study can inform the development of strategic approaches for building materials manufacturers as they transition toward sustainable development. Full article
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14 pages, 592 KB  
Article
Evaluation of Inpatient Surveillance After High-Energy Accident Without Apparent Serious Injury: Retrospective Analysis of Necessary Interventions and Their Predictors
by Andreas Gather, Alexandra Braun, Matthias K. Jung von Landenberg, Paul Alfred Gruetzner and Philipp Raisch
J. Clin. Med. 2026, 15(8), 2831; https://doi.org/10.3390/jcm15082831 - 8 Apr 2026
Abstract
Background/Objectives: Patients involved in high-energy accidents (HEAs) are frequently admitted for inpatient surveillance despite normal clinical examination and imaging, although the yield of this practice is uncertain. This study evaluated the frequency and nature of clinical events, interventions during surveillance and missed injuries [...] Read more.
Background/Objectives: Patients involved in high-energy accidents (HEAs) are frequently admitted for inpatient surveillance despite normal clinical examination and imaging, although the yield of this practice is uncertain. This study evaluated the frequency and nature of clinical events, interventions during surveillance and missed injuries in such low-risk patients and explored potential predictors. Methods: Retrospective study at a Level I trauma center including patients ≥18 years admitted between January 2022 and September 2023 solely due to HEA mechanism, without apparent injury requiring inpatient treatment. Baseline characteristics, clinical presentation, imaging findings, and laboratory values were extracted. Outcomes included additional diagnostics, new diagnoses, therapeutic interventions, and missed injuries. Patients with eventful and uneventful stays were compared using univariate statistical tests. Results: Among 363 included patients, 86.0% experienced an uneventful stay. Fifty-one patients (14.0%) had an eventful stay, most commonly requiring additional radiological examinations (8.5%) or blood tests (6.9%). New diagnoses occurred in 6.6%, and 6.1% received additional therapeutic interventions. Missed injuries were detected in 3.9%, including two potentially life-threatening injuries (0.6%). No robust predictors for missed injuries were identified. Established predictors of missed injuries from broader trauma populations were absent in this selected low-risk cohort. However, individuals after bicycle accidents were significantly more likely to experience any event during their stay (p = 0.009). Conclusions: Inpatient surveillance of patients without apparent injury after HEAs has a low overall yield but occasionally identifies clinically significant conditions. As no reliable predictors for adverse events were found, selective admission remains challenging. Hybrid models combining short-term observation with structured outpatient reassessment may represent a resource-efficient alternative for low-risk patients. Full article
(This article belongs to the Special Issue Assessment and Treatment of Trauma Patients)
19 pages, 313 KB  
Review
Cognitive Diagnosis Computerized Adaptive Testing (CD-CAT) for Adolescent Internet Gaming Disorder: A Conceptual Assessment Framework
by Min Jia and Jing Liu
Behav. Sci. 2026, 16(4), 558; https://doi.org/10.3390/bs16040558 - 8 Apr 2026
Abstract
Internet Gaming Disorder (IGD) has become a major behavioral health concern among adolescents, yet current assessment tools remain limited. These tools often fail to capture the disorder’s complex symptom variations and lack clinical interpretability. This study, taking an interdisciplinary approach that combines clinical [...] Read more.
Internet Gaming Disorder (IGD) has become a major behavioral health concern among adolescents, yet current assessment tools remain limited. These tools often fail to capture the disorder’s complex symptom variations and lack clinical interpretability. This study, taking an interdisciplinary approach that combines clinical psychology and psychometrics, summarizes recent progress in understanding adolescent IGD and the development of its assessment methods. We compare the diagnostic criteria of the DSM-5 TR and ICD-11 and argue that the nine DSM-5 TR criteria are particularly suited for transformation into distinct diagnostic attributes due to their detailed and actionable nature. We then review the strengths and weaknesses of Classical Test Theory (CTT), Item Response Theory (IRT), and Cognitive Diagnostic Models (CDMs) in assessing IGD. The review emphasizes the limitations of total-score and single latent-trait approaches in capturing the disorder’s multidimensional symptoms. Based on these insights, we propose a conceptual assessment framework, Cognitive Diagnosis Computerized Adaptive Testing (CD-CAT), that integrates CDMs with computerized adaptive testing. Rather than presenting an empirically validated system, this framework offers a theoretically grounded proposal that specifies the key components, logical relationships, and methodological pathways necessary for advancing precision assessment of adolescent IGD. CD-CAT uses a system of attributes and a Q-matrix based on the DSM-5 TR criteria to efficiently classify IGD symptoms in adolescents, reducing the number of items required while enhancing clinical relevance. Lastly, we discuss the theoretical contributions of the proposed framework, acknowledge its limitations as a conceptual proposal, and outline directions for future empirical research. Full article
11 pages, 1247 KB  
Article
Retrieving Seasonal Disaster Records from Early-19th-Century Diaries
by Nagai Shin, Taku M. Saitoh and Chifuyu Katsumata
Data 2026, 11(4), 80; https://doi.org/10.3390/data11040080 (registering DOI) - 8 Apr 2026
Abstract
Disaster records retrieved from historical diaries are valuable for examining past seasonal variations in disaster occurrence. We extracted 154 fire and 103 flood records between 1807 and 1838 from the Zayu-Nichiroku (the Kakuson Diaries), written by KANEKO Kakuson in Kanazawa, Japan. We analyzed [...] Read more.
Disaster records retrieved from historical diaries are valuable for examining past seasonal variations in disaster occurrence. We extracted 154 fire and 103 flood records between 1807 and 1838 from the Zayu-Nichiroku (the Kakuson Diaries), written by KANEKO Kakuson in Kanazawa, Japan. We analyzed the seasonal probability of these events using the Poisson distribution. The probability of fire peaked between March and June, while that of floods was highest in June, July, and September. These trends align well with the current climate in Kanazawa, where low humidity and strong winds elevate fire risk, while prolonged rainfall and localized heavy precipitation during the rainy and typhoon seasons increase flood risk. However, extracting disaster records from historical diaries involves uncertainties stemming from omitted entries, the loss of archival material, ambiguous descriptions, unique local recording bias, and short-term missing records. To reduce these uncertainties, we should employ an interdisciplinary approach utilizing multiple historical sources and probabilistic analyses of disaster occurrence. Full article
(This article belongs to the Section Information Systems and Data Management)
25 pages, 1800 KB  
Review
Autoencoders in Natural Language Processing: A Comprehensive Review
by Moussa Redah and Wasfi G. Al-Khatib
Computers 2026, 15(4), 232; https://doi.org/10.3390/computers15040232 - 8 Apr 2026
Abstract
Autoencoder-based models have become a fundamental component of unsupervised and self-supervised learning in natural language processing (NLP), enabling models to learn compact latent representations through input reconstruction. From early denoising autoencoders to probabilistic variational autoencoders (VAEs) and transformer-based masked autoencoding, reconstruction-driven objectives have [...] Read more.
Autoencoder-based models have become a fundamental component of unsupervised and self-supervised learning in natural language processing (NLP), enabling models to learn compact latent representations through input reconstruction. From early denoising autoencoders to probabilistic variational autoencoders (VAEs) and transformer-based masked autoencoding, reconstruction-driven objectives have played a significant role in shaping modern approaches to text representation and generation. This review provides a comprehensive analysis of the evolution of autoencoder architectures and training objectives in NLP, and synthesizes applications of VAEs across language modeling, controllable text generation, machine translation, sentiment modeling, and multilingual representation learning. Although previous surveys have examined deep generative models or representation learning in NLP, there remains a lack of a unified review that systematically connects classical autoencoder variants, variational formulations, and modern transformer-based masked autoencoders within a single conceptual framework. To address this gap, this work consolidates architectural developments, training objectives, and major application domains under a reconstruction-based learning perspective, offering a structured comparison of modeling choices, datasets, and evaluation practices. Our analysis highlights the strengths and limitations of existing approaches, discusses the ongoing influence of autoencoder-style learning in NLP, and outlines future research directions focused on improving training stability, designing more structured latent spaces, and enhancing multilingual representation learning. Full article
24 pages, 1837 KB  
Article
Purpose-Driven Smart Specialization (S3+P): A Multilevel Model for Sustainable Regional Development
by Maria Luísa Silva, María Isabel Sánchez-Hernández, Marc Jacquinet and Paulo Neto
Systems 2026, 14(4), 409; https://doi.org/10.3390/systems14040409 - 8 Apr 2026
Abstract
Smart Specialization Strategy (S3) has become a central instrument of European Union Cohesion Policy, yet its implementation has revealed recurring limitations, including formalistic Entrepreneurial Discovery Processes, weak multilevel coordination, generic priorities, and evaluation systems focused mainly on innovation outputs. This paper examines how [...] Read more.
Smart Specialization Strategy (S3) has become a central instrument of European Union Cohesion Policy, yet its implementation has revealed recurring limitations, including formalistic Entrepreneurial Discovery Processes, weak multilevel coordination, generic priorities, and evaluation systems focused mainly on innovation outputs. This paper examines how shared purpose can be incorporated into S3 in ways that improve both developmental direction and implementation quality across levels. The study adopts a conceptual research design based on a critical synthesis of literature and a model-building procedure, complemented by an illustrative regional application. The main result is the Purpose-Driven Smart Specialization (S3+P) framework, a multilevel model linking individual, organizational, territorial, and macro-policy dimensions through five catalytic mechanisms: plasticity, temporality, identity, memory, and relational networks. The paper also proposes a six-step policy cycle and an indicator logic that broadens evaluation beyond conventional innovation metrics. The analysis suggests that purpose can strengthen directionality, coherence, and legitimacy in regional strategy while preserving the place-based and discovery-oriented rationale of S3. The framework contributes to current debates on the renewal of smart specialization for more sustainable and coordinated regional development. Full article
(This article belongs to the Section Systems Practice in Social Science)
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13 pages, 219 KB  
Article
Interruption: From Theology to Anthropology—And Back Again?
by Lieven Boeve
Religions 2026, 17(4), 463; https://doi.org/10.3390/rel17040463 - 8 Apr 2026
Abstract
Joel Robbins wishes to renew anthropological theory from a transformative dialogue with theology. There, he looks for actors’ categories which may assist him in anthropologically interpreting his ethnographical data on Christian life. One of these categories is the notion of interruption which he [...] Read more.
Joel Robbins wishes to renew anthropological theory from a transformative dialogue with theology. There, he looks for actors’ categories which may assist him in anthropologically interpreting his ethnographical data on Christian life. One of these categories is the notion of interruption which he borrows, among others from my theological work, in order to describe the radical conversion of the Urapmin and, more broadly, radical change in religion. In my contribution, I first examine how Robbins uses the category of interruption to enrich his anthropological theory. In a second and third part, I explain how I have conceived of interruption in my theological work and, afterwards, how that concept itself has gained significance from a transformative dialogue with philosophy. Finally, I evaluate Robbins’ use of the category of interruption and engage in conversation with him again about how the interaction between theology and anthropology can be mutually interruptive. The twofold lesson to be drawn from this interdisciplinary dialogue appears to be (a) that our categories, vocabularies and approaches are caught up in a ceaseless game of borrowing and reinterpretation between disciplines and language games and (b) that we—each in our own discipline—have every interest in allowing our own theory formation to be interrupted by dialogue with other disciplines. Full article
(This article belongs to the Special Issue Theology and Anthropology: A Critical Discussion)
18 pages, 5662 KB  
Article
Synthesis and Biological Evaluation of Isomeric Artemisinin Trimers as Novel Antitumor Agents
by Zejin Zhang, Along Li, Bingying Jiang, Typhaine Bejoma, Yongxi Zhao, Fujiang Guo, Yajuan Li, Huiyu Li and Qingjie Zhao
Molecules 2026, 31(8), 1228; https://doi.org/10.3390/molecules31081228 - 8 Apr 2026
Abstract
While artemisinin and its derivatives demonstrate broad antitumor potential, the stereochemical influence on the bioactivity of higher-order artemisinin assemblies remains inadequately characterized. Herein, we report the synthesis, chromatographic separation, and structural elucidation of four stereoisomeric artemisinin trimers, followed by systematic evaluation of their [...] Read more.
While artemisinin and its derivatives demonstrate broad antitumor potential, the stereochemical influence on the bioactivity of higher-order artemisinin assemblies remains inadequately characterized. Herein, we report the synthesis, chromatographic separation, and structural elucidation of four stereoisomeric artemisinin trimers, followed by systematic evaluation of their antitumor efficacy against MCF-7 and MDA-MB-231 breast cancer cell lines. All trimers exhibited potent cytotoxicity against MCF-7 cells (IC50 < 0.09 μM), with trimer 6a (β, β, β) demonstrating robust antitumor activity in both in vitro and in vivo xenograft models. Remarkably, pronounced stereochemistry-dependent activity emerged against MDA-MB-231 cells: 6a displayed approximately 100-fold greater potency than 6b (β, β, α) and 6.6-fold superiority over gemcitabine. Mechanistic investigations revealed that 6a downregulates Cyclin D1, CDK4, and CDK6 expression, thereby inducing G0/G1 phase cell cycle arrest. These findings underscore the pivotal role of stereochemical configuration in modulating artemisinin trimer bioactivity and provide rational guidance for structure-based design of artemisinin-derived anticancer therapeutics. Full article
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33 pages, 4394 KB  
Article
Spatial Qualities as a Shared Analytical Language: A Multi-Scalar Framework for Collaborative Studio Education
by Vanja Spasenović and Ana Nikezić
Architecture 2026, 6(2), 55; https://doi.org/10.3390/architecture6020055 - 8 Apr 2026
Abstract
Spatial qualities are central to architectural reasoning; yet, in studio-based education, they often remain implicit rather than structured as a shared analytical framework. This study examines how a multi-scalar taxonomy of spatial qualities can function as a collaborative analytical language in studio-based architectural [...] Read more.
Spatial qualities are central to architectural reasoning; yet, in studio-based education, they often remain implicit rather than structured as a shared analytical framework. This study examines how a multi-scalar taxonomy of spatial qualities can function as a collaborative analytical language in studio-based architectural education. Situated in Košanćićev venac and Dorćol, two historically layered areas of Belgrade’s old town, this study integrates expert spatial analysis with a student questionnaire administered across bachelor and master study levels. Empirical testing was conducted to evaluate structural coherence, conceptual differentiation and the distribution of spatial qualities across detail, architectural and urban drawing scales. The findings indicate consistent internal stability, clear differentiation among constructs and statistically significant cross-scale articulation. Form- and composition-related qualities showed high usability, while interpretative constructs were more variable. Master-level students demonstrated greater engagement with cognitive and interpretative constructs, indicating a shift toward more conceptually grounded design reasoning without affecting overall structural coherence. These results suggest that spatial qualities can operate as a level-independent analytical language, supporting inclusive participation, shared interpretation and structured dialogue within the design studio. By positioning spatial qualities as a collaborative pedagogical framework, this study contributes to interdisciplinary communication and more equitable engagement in architectural education. Full article
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20 pages, 2131 KB  
Article
Academic Perceptions of Sea Turtle Conservation in Sinaloa, Mexico: Evidence from an Exploratory Factor Analysis
by Manuel Alejandro Avendaño Leon, Héctor José Peinado Guevara, Jorge Saul Ramirez Perez, Víctor Manuel Peinado Guevara, Luz Isela Peinado Guevara, Ingmar Sosa Cornejo, Jesús Alberto Peinado Guevara, Jaime Herrera Barrientos, Andrea Alejandra Padilla Lafarga and Alejandro Urias Camacho
Sustainability 2026, 18(8), 3666; https://doi.org/10.3390/su18083666 - 8 Apr 2026
Abstract
Marine turtles are key species for the stability of coastal and oceanic ecosystems; however, their conservation faces increasing pressures derived from climate change and anthropogenic activities. This study analyzes the perception of the academic and scientific community in biology, environmental sciences, and marine [...] Read more.
Marine turtles are key species for the stability of coastal and oceanic ecosystems; however, their conservation faces increasing pressures derived from climate change and anthropogenic activities. This study analyzes the perception of the academic and scientific community in biology, environmental sciences, and marine sciences regarding marine turtle conservation along the coast of Sinaloa, Mexico. A quantitative cross-sectional survey-based study with an exploratory approach was employed, using a Likert-scale questionnaire administered to 358 participants. The instrument demonstrated adequate internal consistency (α = 0.836; ω = 0.827). An exploratory factor analysis (EFA) using principal component extraction identified four components explaining 55.51% of the total variance, corresponding to four dimensions: (1) commitment to conservation, (2) environmental and climatic impacts on reproductive processes, (3) key factors and threats in the reproductive cycle, and (4) conservation practices and knowledge. Results suggest a general tendency toward agreement on the ecological importance of marine turtles and the threats affecting their reproductive success, particularly climate-related and habitat degradation factors. However, greater variability was observed in perceptions related to applied practices and technical knowledge, indicating differences in perceptions related to the implementation of conservation strategies. These findings suggest the potential relevance of strengthening applied training, interdisciplinary collaboration, and knowledge transfer mechanisms to enhance the effectiveness of conservation initiatives in priority nesting areas of Sinaloa. Full article
(This article belongs to the Section Sustainability, Biodiversity and Conservation)
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13 pages, 251 KB  
Article
In Vitro Ruminal Fermentation and Gas and Methane Production of Eragrostis curvula Supplemented with Searsia lancea Leaf or Silage Meal
by Morokolo J. Molele, Khanyisile R. Mbatha, Sanele T. Jiyana, Francuois L. Müller and Thamsanqa D. E. Mpanza
Methane 2026, 5(2), 12; https://doi.org/10.3390/methane5020012 - 8 Apr 2026
Abstract
Livestock represent a key asset in the livelihood of smallholder farmers and play a critical role in the social dynamics and nutritional security of resource-poor communities. However, within these resource-poor communities, livestock productivity remains low. This is often due to seasonal changes in [...] Read more.
Livestock represent a key asset in the livelihood of smallholder farmers and play a critical role in the social dynamics and nutritional security of resource-poor communities. However, within these resource-poor communities, livestock productivity remains low. This is often due to seasonal changes in the quantity and quality of available feed from the natural veld, which in turn also contributes to methane production. This study aimed to evaluate the effects of supplementing Eragrostis curvula hay with Searsia lancea leaf or silage meal on in vitro fermentation efficiency and gas and methane production. Therefore, an in vitro study using a semi-automated pressure transducer technique was conducted on grass hay alone (control) and grass hay supplemented with 15% or 30% of either S. lancea leaf or silage meal. The dietary treatments were arranged in a complete randomized design, with each treatment replicated four times. Total gas and methane production was recorded at 3, 6, 12, 24 and 48 h using a pressure transducer attached to a data logger. After incubation, samples were collected to determine volatile fatty acids. Supplementing grass hay with 15% S. lancea leaf meal increased gas production by 76%, 52%, 32% and 12% in the first 24 h of incubation. Similarly, increasing the supplementation level to 30% increased gas production by 75%, 63%, 45% and 14%. However, supplementing grass hay with silage meal at 15% significantly reduced gas production by 37% during the first 3 h of incubation, whereas supplementation at 30% had no effect. Supplementing grass hay with S. lancea meals effectively reduced methane production at 24 and 48 h. Grass hay supplemented with 15% or 30% silage meal reduced methane by 46% and 39% at 24 h, while at 48 h, methane was reduced by 39% and 49%, respectively. Supplementing grass hay with S. lancea meals, however, did not affect volatile fatty acids. In conclusion, S. lancea can be strategically used as a supplementary feed source to modulate the rumen ecosystem by attenuating enteric methane production. Further studies are required to determine the effect of S. lancea on rumen microbial composition and its metabolic function. Full article
12 pages, 2152 KB  
Article
Age-Related Decline in Intestinal Villus Length: A Cross-Sectional Study on the Human Gut
by Francisco Vara-Luiz, Carolina Palma, Ivo Mendes, Francisco Piçarra, Ana Elisa Teles, Filipe Nogueira, Inês Costa-Santos, Gonçalo Nunes, Marta Patita, Irina Mocanu, Sara Pires, Tânia Meira, Ana Vieira, Pedro Pinto-Marques, Paulo Mascarenhas, Iryna Leskiv, Daniel Gomes-Pinto and Jorge Fonseca
Nutrients 2026, 18(8), 1172; https://doi.org/10.3390/nu18081172 - 8 Apr 2026
Abstract
Background/Objectives: There is widespread agreement that age is a significant predictor of impaired response to nutritional support. This is generally attributed to anabolic resistance, with impaired absorption considered irrelevant/non-existent. However, animal models demonstrate age-related structural changes in the intestinal mucosa that may [...] Read more.
Background/Objectives: There is widespread agreement that age is a significant predictor of impaired response to nutritional support. This is generally attributed to anabolic resistance, with impaired absorption considered irrelevant/non-existent. However, animal models demonstrate age-related structural changes in the intestinal mucosa that may reduce absorptive capacity. We aimed to evaluate potential histological changes in the duodenal mucosa associated with aging. Methods: We conducted a single-center observational cross-sectional study. Ambulatory younger (18–45 years) and older (≥70 years) adults referred for upper endoscopy were included and underwent duodenal biopsies. Those biopsies were analyzed and compared for histological/histomorphometric changes, including villus length. Clinical and laboratory data were also recorded. Results: One hundred patients were included (46 men/54 women), 50 aged 18–45 years and 50 aged ≥70 years. There were no duodenal endoscopic changes. The median villus length was 0.35 mm (IQR 0.32–0.41 mm) in older people, lower than in younger adults (0.57 mm; IQR 0.47–0.68 mm) (p < 0.001). In a multivariable regression model including age, sex, and Charlson comorbidity index, age remained inversely associated with villus length (p < 0.001). Older participants also exhibited lower hemoglobin, iron, folate, vitamin B12, albumin and vitamin D levels, despite normal inflammatory markers. Conclusions: Aging is associated with histological changes in the intestinal mucosa, including villus shortening. These findings support the concept of mucosal aging as a distinct biological process. Villus shortening may reflect reduced absorptive surface area and could contribute to age-related nutritional vulnerability, although its functional implications remain to be determined. Full article
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22 pages, 2903 KB  
Review
Agent Technology for Agricultural Intelligence: Methodological Framework and Applications
by Yinuo Li, Jiayuan Wang, Zhouli Yuan and Haiyu Zhang
Electronics 2026, 15(8), 1547; https://doi.org/10.3390/electronics15081547 - 8 Apr 2026
Abstract
Agricultural intelligent agent technology features autonomy in multimodal perception, scalability for cross-scenario collaboration and adaptability via closed-loop optimization, serving as a core technological pillar for industrial intelligent upgrading and refined production management. This paper systematically elucidates its technical essence and methodological framework, focusing [...] Read more.
Agricultural intelligent agent technology features autonomy in multimodal perception, scalability for cross-scenario collaboration and adaptability via closed-loop optimization, serving as a core technological pillar for industrial intelligent upgrading and refined production management. This paper systematically elucidates its technical essence and methodological framework, focusing on five key aspects: multimodal heterogeneous data perception and fusion, scenario-oriented knowledge modeling and dynamic memory, intelligent decision-making and planning, embodied artificial intelligence, and closed-loop feedback optimization. On this basis, the paper outlines its core agricultural applications in four domains: crop cultivation, efficient utilization of agricultural resources, intelligent upgrading of agricultural technologies and equipment, and collaborative governance of the entire agricultural industry chain. From an interdisciplinary “AI + Agriculture” perspective, the paper further analyzes its future development directions, aiming to provide insights for improving agricultural intelligent agent technologies and promoting their industrial application to accelerate agricultural intelligent transformation. This study constructs a three-dimensional integrated methodological framework encompassing technological analysis, application mapping and trend forecasting, systematically summarizes its agricultural application scenarios and technological evolution characteristics, enriches the theoretical system and methodological construction of agricultural intelligent agent research, and provides a reusable analytical paradigm for agricultural intelligent agent research and practice. Full article
(This article belongs to the Section Artificial Intelligence)
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12 pages, 5004 KB  
Article
Nonvolatile Reconfigurable Synthetic Antiferromagnetic Devices Induced by Spin-Orbit Torque for Multifunctional In-Memory Computing
by Mingxu Song, Jiahao Liu and Zhihong Zhu
Nanomaterials 2026, 16(7), 444; https://doi.org/10.3390/nano16070444 - 7 Apr 2026
Abstract
The proliferation of intelligent edge devices demands compact, low-power hardware capable of dynamically switching between sensing, logic, and learning tasks—a versatility that traditional multi-chip solutions fundamentally lack. Here, we demonstrate a reconfigurable spin–orbit torque (SOT) device based on an FeTb/Ru/Co synthetic antiferromagnetic (SAF) [...] Read more.
The proliferation of intelligent edge devices demands compact, low-power hardware capable of dynamically switching between sensing, logic, and learning tasks—a versatility that traditional multi-chip solutions fundamentally lack. Here, we demonstrate a reconfigurable spin–orbit torque (SOT) device based on an FeTb/Ru/Co synthetic antiferromagnetic (SAF) heterostructure. By modulating the input current amplitude, the device dynamically switches between two distinct operating modes: saturation and activation. In the saturation regime (>80 mA), deterministic magnetization reversal enables Boolean logic operations (AND, NOR). In the activation regime (<80 mA), gradual, non-volatile conductance modulation emulates synaptic plasticity. Benefiting from the strong antiferromagnetic coupling and near-zero net magnetization of the SAF structure, all operations are achieved without external magnetic fields. This single-device, dual-mode reconfigurable architecture establishes a new paradigm for high-density, low-power, multifunctional in-memory computing units, with promise for advancing adaptive edge computing chips. Full article
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17 pages, 47282 KB  
Article
Differential Effects of Curcumin and Cordycepin on Oral Squamous Cell Carcinoma Cells: ROS-Mediated Cytotoxicity and Real-Time Morphological Analysis
by Bianca Voicu Balasea, Miruna-Silvia Stan, Radu Radulescu, Ana Cernega, Kersti Alm, Monica Musteanu, Florentina Rus, Alexandra Ripszky and Silviu Mirel Pituru
Molecules 2026, 31(7), 1221; https://doi.org/10.3390/molecules31071221 - 7 Apr 2026
Abstract
Oral squamous cell carcinoma (OSCC) remains a major clinical challenge, highlighting the need for novel therapeutic strategies. Natural bioactive compounds such as curcumin (Cu) and cordycepin (Co) have shown anticancer potential; however, their effects on cancer cell morphology and behavior remain incompletely characterized. [...] Read more.
Oral squamous cell carcinoma (OSCC) remains a major clinical challenge, highlighting the need for novel therapeutic strategies. Natural bioactive compounds such as curcumin (Cu) and cordycepin (Co) have shown anticancer potential; however, their effects on cancer cell morphology and behavior remain incompletely characterized. This study assessed the individual and combined effects of Cu and Co on oral squamous cell carcinoma cells (OECM-1) and normal human gingival epithelial cells (HGEpiC) over 24 and 48 h. Metabolic activity, membrane integrity, oxidative stress, apoptosis, and inflammatory responses were evaluated using MTT, LDH, ROS-H2O2, caspase 3/7, and NO assays. Label-free digital holographic microscopy enabled real-time monitoring of morphology, motility, and proliferation. Both compounds induced ROS-mediated cytotoxicity, but responses were notably more pronounced in OECM-1 than in HGEpiC cells. Real-time morphological profiling revealed distinct response patterns: Co primarily exerted cytostatic effects, whereas Cu induced cell shrinkage, impaired motility, and inhibited cell division. The combination treatment (CC) largely reflected Cu-driven morphological and functional changes, with Co coexisting without counteracting Cu’s effects. Taken together, these findings reveal compound-specific mechanisms of action for Cu and Co in OSCC therapy. Full article
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