Multidisciplinary Digital Publishing Institute (Switzerland)
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Temporal Variability of Bioindicators and Microbial Source-Tracking Markers over 24 Hours in River Water
No full textWith increasing contamination in aquatic ecosystems, effective monitoring is crucial to preserve biodiversity and protect public health. This study quantified bioindicators (red swamp crayfish (Pcla), Genji-firefly (Lcr2), Ayu fish (Paa), and caddisfly (Sma)), microbial source tracking markers (ruminants (BacR), pigs (Pig2Bac), and humans (gyrB)), and a fecal indicator bacterium (Escherichia coli (sfmD)) using quantitative PCR on river water samples collected every 2 h between 21 and 22 July 2023 (from the Omo and Bingushi Rivers in Yamanashi Prefecture, Japan). Initially, the optimal filter sizes of 1.0, 0.65, and 0.22 µm were evaluated, where the 0.65 µm filter yielded higher Paa concentrations (Kruskal–Wallis test, p < 0.05) and was used subsequently. BacR and Paa exhibited 100% detection in the Omo (13/13) and Bingushi (13/13) Rivers with concentrations of 5.0 log10 and 5.5 log10 copies/L, respectively. These concentrations were used to assess 24 h temporal variability, but no significant fluctuations or cyclical trends between morning, afternoon, evening, and night were observed in either river. The BacR–Paa pair exhibited perfect positive detection correlation (Φ = 1.0) and complete similarity (Jaccard Index = 1.0), but a moderate negative correlation of mean concentrations highlights the importance of considering habitat overlaps and behavioral synchronicity
Alternative to Groundwater Drip Irrigation for Tomatoes in Cold and Arid Regions of North China by Rainwater Harvesting from Greenhouse Film
No full textGroundwater resources are scarce in the cold and arid regions of north China. Moreover, regional water resource replenishment without external sources remains difficult. This water deficit has become a major factor restricting the sustainable development of regional vegetable production. The effective utilization of rainwater harvesting for irrigated agricultural production is necessary to suppress droughts and floods in farming under the semi-arid climate of this area in order to both guarantee a stable supply of vegetables to the market in south and north China and promote the balanced development of regional agriculture–resource–environment integration. In this study, based on continuous simulation and Python modeling, we simulated and analyzed the water supply and production effects of irrigation with harvests and stored rainwater on tomatoes under different water supply scenarios from 1992 to 2023. We then designed and tested a water-saving and high-yield project for rainwater-irrigated greenhouses in 2024 and 2025 under natural rainfall conditions in northwestern Hebei Province based on the reference irrigation scheme. The water supply satisfaction rate, water demand satisfaction rate, and volume of water inventory of tomato fields under different water supply scenarios increased with the rainwater tank size, and the corresponding drought yield reduction rate of tomato decreased. Under the actual rainfall scenarios in 2024 and 2025, a 480 m2 greenhouse with a 14.4 m3 rainwater tank for producing tomatoes irrigated with rainwater drip from the greenhouse film collected 127.7 and 120.5 m3 of rainwater, respectively. The volume of the rainwater tank was exceeded 8.3 and 8.0 times, and up to 93.8% and 95.0% of the irrigated groundwater was replaced; additionally, the average yield of the small-fruited tomato ‘Beisi’ was 50,076.6 kg·hm−2 and 48,110.2 kg·hm−2, reaching 96.1% and 92.3% of the expected yield. Conclusion: The irrigation strategy based on the innovative “greenhouse film–rainwater harvesting–groundwater replenishment” model developed in this study has successfully achieved a high substitution rate of groundwater for greenhouse tomato production in the cold and arid regions of north China while ensuring stable yields by mitigating drought and waterlogging risks. This model not only provides a replicable technical framework for sustainable agricultural water resource management in semi-arid areas but also offers critical theoretical and practical support for addressing water scarcity and ensuring food security under global climate change
From Play to Performance: Cultural–Pedagogical Frictions in Transmedia Edutainment in Hong Kong Higher Education
No full textDespite growing interest in transmedia edutainment, its limits—especially those experienced by students embedded in non-western educational cultural settings—remain underexamined. This article offers a theoretically grounded and empirically supported analysis of the cultural–pedagogical frictions shaping transmedia edutainment in Hong Kong higher education, focusing on students whose learning dispositions have been historically and institutionally formed by examination-oriented meritocracy and instrumentalist epistemologies. Using a mixed qualitative design combining focus-group interviews and classroom ethnographic observations, we show why implementation efforts frequently stalled and how they were ultimately absorbed by a prevailing neoliberal–Confucian educational culture that moralizes achievement and standardizes value recognition. Drawing on a Bourdieusian framework, we interrogate how students’ educational illusio—animated by content instrumentalism, grade-oriented compliance, and meritocratic time-discipline—recasted multimodal engagement as instrumentalized participation optimized for legibility, security, and risk minimization. Moving beyond prevailing emphases on technological access or digital divides, we foreground habitus–field incongruence as the mechanism structuring ambivalent participation and deculturation from the intended ethos of creativity, critical inquiry, and collaborative participation. We conclude by calling for culturally responsive pedagogical shifts necessary for cultivating more genuine participatory cultures in transmedia learning environments
Severity Scores in SARS-CoV-2 Infection—A Comprehensive Bibliometric Review and Visualization Analysis
No full textBackground/Objectives: Discovered in 2019, COVID-19 spread rapidly worldwide, leading from mild forms of the disease to critical forms or death, predominantly among vulnerable patients. Severity scores help clinicians in stratifying the risk of complications and death among patients diagnosed with SARS-CoV-2 infection. Methods: This study aims to identify the severity scores used in this type of infection, while bibliometric analysis carried out provided a comprehensive overview of global research patterns, trends, and cooperation in scientific literature on the chosen topic. Results: We conducted a literature screening to identify severity scores used in SARS-CoV-2 infection. Scores including CURB-54, COVID-GRAM, NEWS, APACHE II, SOFA, qSOFA, CALL, MuLBSTA, ISARIC 4C, and PADUA were identified with different performance indices. Conclusions: There were different results obtained depending on the geographical area of applicability, patient groups analyzed, and individual patient characteristics
Potential Novel Genotype of “Bopivirus B” from Sheep in Türkiye: Epidemiology and Molecular Characterization
No full textVarious microbial agents have been found in the feces of both humans and animals, especially in newborns. While some of these agents are recognized as causing diarrhea, the role of others, specifically bopiviruses of the family Picornaviridae, in diarrhea remains uncertain. In this study, we conducted an analysis of 214 fecal samples from cattle (n = 114), sheep (n = 82), and goats (n = 18) with diarrhea, collected from farms across 17 different provinces in Türkiye. All samples were tested using RT-PCR targeting the 3D(RdRp) region of bopiviruses, and two samples from sheep (2.4%) tested positive. The 7303 nt-long complete coding sequence of Bopivirus/Sheep/KS-1M/2024/TUR and partial 3D(RdRp), VP3, and 2A-2C sequences of Bopivirus/Sheep/ANK-K30/2017/TUR were determined by additional RT-PCR, 3′RACE-PCR reactions and Sanger sequencing. Both strains show close sequence and phylogenetic relationship to members of species “Bopivirus B” of genus Bopivirus. Bopivirus/Sheep/KS-1M/2024/TUR is most closely related to a sheep Bopivirus B strain (sheep/14-73/2018/ITA) from Italy, but the phylogenetic separation, the low sequence identities and high p-distance values in VP1 to existing genotypes of “B1” and “B2” suggest that both strains could belong to novel genotypes (“B3” and “B4”) in species “Bopivirus B”, although additional closely related sequences are necessary for proper typing
Flexural Fracture Behavior and Mechanical Properties of SAP-PVA Fiber-Reinforced Concrete
No full textTo investigate the fracture behavior of super-absorbent polymer (SAP) internally cured polyvinyl alcohol (PVA) fiber-reinforced concrete (SAP-PVAC), three-point bending tests were carried out. This study systematically examined the effects of (1) PVA fiber content and (2) initial crack-depth-to-beam-height ratios (a0/D) on the failure modes, fracture toughness (KIC), and residual flexural tensile strength (fR,1) of SAP-PVAC beams. The test results demonstrate that SAP particles have a weakening effect on concrete strength (reduce about 6%). Still, the addition of PVA fibers can effectively improve the crack-resistance performance of SAP-PVAC and significantly increase the residual flexural tensile strength by 4.5–42%. The softening performance of the concrete is affected by the initial crack-height ratio. An increase in a0/D leads to an obvious increase in the crack opening displacement but has little impact on the fracture toughness, while the fracture energy shows a downward trend. SEM microscopic analysis reveals that the synergistic effect of SAP and PVA fibers exhibits a positive promoting effect on the toughening and crack resistance of SAP-PVAC specimens. These results establish a theoretical framework for SAP-PVAC fracture assessment and provide actionable guidelines for its shrinkage-crack mitigation structure engineering applications
Taste of Things to Come: Craving Responses to Ingestion of and Mouth Rinse with a Sugary Drink in Connection with Food Cues and Associations with Continuous Interstitial Glucose Measurement in a Healthy Population
No full textBackground/Objectives: Food cravings are common with high-palatability foods that are high in sugar and/or fat. Food cues can strongly induce food craving, and heightened food cue reactivity is associated with eating disorders and obesity. Sweet taste signalling is suggested to be an important regulator of appetite and food intake, with sensory-metabolic mismatch potentially relevant for the food craving experience. This study investigated the interaction between taste and food cues and food craving in healthy people with and without ingestion of a sugary drink. Methods: This study had a randomised crossover design with 47 healthy individuals who participated in two experimental trials. Fasted individuals were exposed to food cues, and food craving pre- and post-exposure was measured via a newly validated method using handgrip force as a response modality. This was followed either by ingestion (ingestion trial) or mouth rinse (mouth rinse trial) of a sugary drink and reassessment of food cue craving responses. Continuous interstitial glucose monitoring was performed using a glucose sensor inserted into the upper arm, and a blood sample for leptin levels was taken. Results: A strong food craving response to food cues was bound to the fasted state, while ingestion of a sugary drink blunted food cue reactivity and reduced craving levels. Mouth rinse induced a stable increase in food craving, which reached a maximum after food cues. Interstitial glucose levels over the after-trial periods (incremental area under the curve, iAUC) were significantly higher for the rinse trial day than for the ingestion trial day, which may suggest higher carbohydrate/sugar intake after the rinse trial, while craving levels were associated with iAUC in the rinse trial. Conclusions: Outcomes indicate that taste/flavour in connection with food cues may generate an error signal experienced as food craving, whereas receipt of sugars, with concomitant physiological responses, reduces the signal and diminishes food craving. These results highlight the importance of sensory-metabolic mismatch in the food craving experience
A SIEM-Integrated Cybersecurity Prototype for Insider Threat Anomaly Detection Using Enterprise Logs and Behavioural Biometrics
No full textInsider threats remain a serious concern for organisations in both public and private sectors. Detecting anomalous behaviour in enterprise environments is critical for preventing insider incidents. While many prior studies demonstrate promising results using deep learning on offline datasets, few address real-time operationalisation or calibrated alert control within a Security Information and Event Management (SIEM) workflow. This paper presents a SIEM-integrated prototype that fuses the Computer Emergency Response Team Insider Threat Test Dataset (CERT) enterprise logs (Logon, Device, HTTP, and Email) with behavioural biometrics from the Balabit mouse dynamics dataset. Per-modality one-dimensional convolutional neural network (1D CNN) branches are trained independently using imbalance-aware strategies, including downsampling, class weighting, and focal loss. A unified 20 × N feature schema ensures train–serve parity and consistent feature validation during live inference. Post-training calibration using Platt and isotonic regression enables analyst-controlled threshold tuning and stable alert budgeting inside the SIEM. The models are deployed in Splunk’s Machine Learning Toolkit (MLTK), where dashboards visualise anomaly timelines, risky users or hosts, and cross-stream overlaps. Evaluation emphasises operational performance, precision–recall balance, calibration stability, and throughput rather than headline accuracy. Results show calibrated, controllable alert volumes: for Device, precision ≈0.70 at recall ≈0.30 (PR-AUC = 0.468, ROC-AUC = 0.949); for Logon, ROC-AUC = 0.936 with an ultra-low false-positive rate at a conservative threshold. Batch CPU inference sustains ≈70.5 k windows/s, confirming real-time feasibility. This study’s main contribution is to demonstrate a calibrated, multi-modal CNN framework that integrates directly within a live SIEM pipeline. It provides a reproducible path from offline anomaly detection research to Security Operations Centre (SOC)-ready deployment, bridging the gap between academic models and operational Cybersecurity practice
Mammary Intraductal Gene Electroporation (MIGE): A Novel Non-Viral Gene Delivery Method Targeting Murine Mammary Epithelial Cells
No full textThe mammary gland is a valuable model in cancer research and developmental biology. Gene delivery techniques are crucial for mammary tissue research to understand how genes function and study on diseases such as cancer. Viral vector-based approaches provide a high degree of transduction efficiency, but they raise safety and immunogenicity concerns, whereas non-viral vector-based approaches are considered safer and have lower immunogenicity than viral methods. Unfortunately, non-viral gene delivery has rarely been applied to the mammary glands because it is technically challenging. Here, we developed a novel method for in vivo transfection of epithelial cells lining murine mammary glands via intraductal injection of plasmid DNA using a breath-controlled glass capillary and subsequent electroporation (EP) of the injected area. Female mice were transfected with plasmids harboring the enhanced green fluorescent protein (EGFP) gene. Widespread EGFP fluorescence was observed in the mammary epithelial cells of the ducts and adipocytes adjacent to the ducts. As this in vivo gene delivery method is simple, safe, and efficient for gene transfer to the mammary glands, we named this technique “Mammary Intraductal Gene Electroporation” (MIGE). The MIGE method is a useful experimental tool for studies on mammary gland development and differentiation as well as breast cancer research
Polymeric Hydrogels Loaded with ZnO Nanoparticles as Promising Tools for Tacking Viral Skin Disorders
No full textZinc oxide nanoparticles (ZnO NPs) have attracted growing interest in several fields, including topical biomedical applications, due to their stability, biocompatibility and therapeutic potential. In this study, chitosan (Ch), gelatin (G) and arabic gum (AG) were combined to formulate hydrogels loaded with different ZnO NP concentrations. The main aim is to assess the synergy between the properties of biopolymers and ZnO moieties in terms of antiviral activity. ZnO NPs were synthesized via co-precipitation. Hydrogels were prepared using the freeze–thaw method, and the loading of 2.5, 5 and 7.5% w/w of ZnO NPs with respect to Ch was promoted by ultrasonication. The structural, morphological, surface and thermal properties of hydrogels loaded with ZnO NPs (HZ 2.5, HZ 5 and HZ 7.5) and the control matrix (H) were characterized using FTIR spectroscopy, confirming the successful incorporation and interaction of ZnO NPs with the polymeric network. Low ZnO NP concentrations enhanced the swelling degree of the hydrogels (from 1044% to 1253%), improving their thermal stability and solubility (96 h vs. 48 h HZ 7.5 and 14 h in the case of H). This behavior could be ascribed to the aggregation of ZnO NPs with increasing amounts, which was verified through FESEM. Virucidal activity was tested against herpes simplex virus type 1 (HSV-1) and bovine coronavirus (BCoV), demonstrating a substantial enhancement when the ZnO NPs are added independently of the concentration. An almost 100% viral inhibition was recorded when the HZs were analyzed, whereas the H matrix showed an inhibition of about 40% against the same virus. Antioxidant activity was evaluated via the DPPH free radical inhibition method, revealing an improvement with the loading of NPs