Search Results (556)

Advances in sensing technologies are increasingly transforming cutting operations by enabling data-driven condition monitoring, predictive maintenance, and process optimization. This review surveys recent developments in sensing modalities for cutting systems, including vibration sensors, acoustic emission sensors, optical and vision-based systems, eddy-current sensors, force sensors, and emerging hybrid/multi-modal sensing frameworks. Each sensing approach offers unique advantages in capturing mechanical, acoustic, geometric, or electromagnetic signatures related to tool wear, process instability, and fault development, while also showing modality-specific limitations such as noise sensitivity, environmental robustness, and integration complexity. Recent trends show a growing shift toward hybrid and multi-modal sensor fusion, where data from multiple sensors are combined using advanced data analytics and machine learning to improve diagnostic accuracy and reliability under changing cutting conditions. The review also discusses how artificial intelligence, Internet of Things connectivity, and edge computing enable scalable, real-time monitoring solutions, along with the challenges related to data needs, computational costs, and system integration. Future directions highlight the importance of robust fusion architectures, physics-informed and explainable models, digital twin integration, and cost-effective sensor deployment to accelerate adoption across various manufacturing environments. Overall, these advancements position advanced sensing and hybrid monitoring strategies as key drivers of intelligent, Industry 4.0-oriented cutting processes. Full article

Introduction: Rectal colonization by carbapenemase-producing carbapenem-resistant Enterobacterales (CP-CRE) is a risk factor for subsequent infections, which are associated with high mortality rates. Methods: A cross-sectional study was conducted. Rectal swabs were collected from 297 patients within 48 h of admission to eight high-prevalence CP-CRE hospital departments, with follow-up swabs taken weekly for up to 4 weeks. Species identification, antimicrobial susceptibility testing, and genetic detection of carbapenemases were performed. The genetic relationship among isolates was assessed using ERIC-PCR, combined with epidemiological data, to investigate subsequent infections. Results: Fecal carriage of CP-CRE was detected in 15.5% (46/297) of patients- All carbapenemases were metallo-betalactamases, with dominance of NDM-producing Klebsiella pneumoniae. NDM + VIM-producing Escherichia coli were also detected. Among carriers, 26.1% were colonized by two different CRE species, and 86.9% had a history of prior hospitalization. Molecular analysis revealed clonal expansion, suggesting outbreaks among colonized patients. Additionally, 17.4% (8/46) of colonized patients developed an infection, which was significantly associated with urinary catheter use (p = 0.040), mechanical ventilation (p = 0.044), and surgical procedures (p = 0.040). Conclusions: rectal colonization by CP-CRE in hospitalized patients is a serious epidemiological concern, with evidence of clonal spread and subsequent infection in colonized patients. NDM-producing K. pneumoniae was also predominant, detecting co-production of NDM + VIM in E. coli. These findings underscore the urgent need to implement epidemiological surveillance cultures to improve the prevention and control of CP-CRE infections in Cuban hospitals. Full article

Background/Objectives: Acute health events in institutionalized older adults often lead to avoidable hospital referrals, requiring rapid, accurate remote decision-making. Telemedicine has become a key tool to improve assessment and care continuity in nursing homes. This study aimed to evaluate outcomes associated with telemedicine-supported management of acute events in residential care facilities for older adults and to develop a deep learning model to classify episodes and predict hospital referrals. Methods: A quasi-experimental study analyzed 5202 acute events managed via a 24/7 telemedicine system in Vitalia nursing homes (January–October 2024). The dataset included demographics, comorbidities, vital signs, event characteristics, and outcomes. Data preprocessing involved imputation, normalization, encoding, and dimensionality reduction via Truncated SVD (200 components). Given the imbalance in referral outcomes (~10%), several resampling techniques (SMOTE, SMOTEENN, SMOTETomek) were applied. A deep feedforward neural network (256–128–64 units with Batch Normalization, LeakyReLU, Dropout, AdamW) was trained using stratified splits (70/10/20) and optimized via cross-validation. Results: Telemedicine enabled the resolution of approximately 90% of acute events within the residential setting, reducing reliance on emergency services. The deep learning model outperformed traditional algorithms, achieving its best performance with SMOTEENN preprocessing (AUC = 0.91, accuracy = 0.88). The proposed model achieved higher overall performance than baseline classifiers, providing a more balanced precision–specificity trade-off for hospital referral prediction, with an F1-score of 0.63. Conclusions: Telemedicine-enabled acute care, strengthened by a robust deep learning classifier, offers a reliable strategy to enhance triage accuracy, reduce unnecessary transfers, and optimize clinical decision-making in nursing homes. These findings support the integration of AI-assisted telemedicine systems into long-term care workflows. Full article

Background/Objectives: Neonates with hypoxic–ischemic encephalopathy (HIE) are born in delivery facilities with different levels of neonatal care. The objective of this study was to investigate differences in the incidence of HIE and postnatal management between different levels of neonatal care in delivery facilities. Methods: This is a retrospective, multi-center cohort study of neonates with moderate-to-severe HIE receiving therapeutic hypothermia (TH) in the Canton of Zurich, Switzerland, registered in the Swiss National Asphyxia and Cooling Register between 2015 and 2023. Incidences of HIE receiving TH were calculated for all delivery facilities according to the national levels of neonatal care on site (Level I—basic; Level IIB—intermediate (no Level IIA facility in the Canton of Zurich); Level III—intensive neonatal care). Perinatal characteristics and variables on transport and outcomes were compared between neonates born in Level I and Level IIB facilities (the majority of the HIE population) and reported for neonates born in all other facilities (for completeness). Results: A total of 173 neonates (79 (45.7%) born in Level I; 80 (46.2%) in Level IIB; 9 (5.2%) in Level III; 5 (2.9%) in birthing centers) were admitted to a neonatal cooling center to receive TH. The average number of annual cases of HIE receiving TH per facility was 0.67 (0.11–1.50) in Level I and 2.22 (0.22–3.11) in Level IIB facilities (p = 0.088), respectively. There was no difference in Apgar score, worst pH (within 60 min after birth) and the severity of encephalopathy between neonates born in Level I and Level IIB facilities. Neonatal transport team requests were initiated earlier in Level I facilities (median 12 vs. 34 min of life, p < 0.001). There was no difference in age at initiation of TH (median 3 vs. 3 h, p = 0.431) and the time when target temperature was reached (median 4 vs. 4 h, p = 0.431) between neonates born in Level I and Level IIB facilities. Conclusions: The level of neonatal care available in delivery facilities influenced the management of neonates with HIE receiving TH. Full article

Introduction. Sleep is an essential component in the recovery, performance, and injury prevention processes of soccer players. Associated psychological variables, such as the balance between stress and recovery, have been less explored, despite their potential influence on rest and injury vulnerability. This study aims to examine the relationship between sleep quality, quantity, and chronotype and injury risk in soccer players, also incorporating the modulating role of stress and recovery. Method. A PRISMA systematic review was conducted using searches in ScienceDirect, PubMed, Ovid, EBSCO, MDPI, Springer Nature Link, SPORTDiscuss (full text), and Dialnet. Original studies and reviews on sleep and its relationship with sports injuries in soccer players or comparable athletic populations were included. Eighteen studies were selected that addressed sleep indicators (quality, quantity, chronotype), injury incidence, and, to a lesser extent, measures of stress and recovery using instruments such as the RESTQ-Sport or wellness questionnaires. Results. There is evidence of an association between poor sleep quality or quantity and an increased risk of injury or illness. Chronotype is an emerging variable of interest, although still insufficiently researched. Regarding stress and recovery, direct evidence is limited, although studies that address this issue show that an imbalance between these two dimensions negatively impacts sleep quality and increases susceptibility to injury. Conclusions: Sleep and the stress–recovery balance are key and interdependent factors in the risk of injury in soccer players. Future research should consider including these variables to further understand the mechanisms underlying the injury process and optimize prevention and recovery strategies. Full article

Phosphate-solubilizing rhizobacteria associated with the Solanum tuberosum L. cultivar ‘Superchola’ were isolated and characterized to improve our understanding of plant growth promotion in agricultural systems. Bacteria were isolated by serial dilutions, and the morphology of the colonies was characterized on nutrient agar culture medium. In addition, morphological identification was achieved by Gram staining. The ability to solubilize phosphate was assessed in Pikovskaya agar culture medium, while molecular identification involved the amplification of the partial 16S rRNA gene using the polymerase chain reaction. In the Píllaro canton, the highest number of colony-forming units per gram of soil was recorded at 9.72 × 10⁹. Among the isolated strains, 62% exhibited circular morphology, 92% had a smooth texture, and 85% displayed entire margins. Notably, 83% of the isolates were Gram-negative, with 50% exhibiting a bacillary form. The most effective phosphate solubilizers were from the Mocha canton, particularly the isolate CC-FCAGP-BSF6, which showed superior solubilization capacity. Molecular identification revealed bacterial isolates from four genera, i.e., Bacillus, Pseudomonas, Lysinibacillus, and Paenibacillus. These strains exhibited significant phosphate solubilization in vitro and resulted in increased leaf area (0.21–0.49, p = 0.038), fresh mass (0.46–0.87, p = 0.014), dry mass (0.092–0.096, p = 0.047), and leaf area index (0.14–0.33, p = 0.026) in the S. tuberosum cultivar ‘Superchola’ in vitro plants. This study identifies bacterial species associated with the rhizosphere of S. tuberosum in Ecuador and highlights their potential for promoting plant growth and solubilizing phosphates. Full article

Fouling is a major challenge in membrane-based filtration processes, leading to higher operating and capital costs. Developing new membranes with better fouling resistance has always been a research focus in the membrane field. In particular, designing functional surfaces which mitigate fouling is an effective approach. We successfully fabricated membranes with a graphene functional layer using a single-step laser irradiation known as laser-induced graphene (LIG) on the membrane surface. The LIG ultrafiltration (UF) membranes were prepared by directly lasing poly(ether sulfone) (PES) membrane substrates. Scanning electron microscopy demonstrated the successful ablation of the PES membranes with controlled thickness. Water filtration tests confirmed that the permeance increased by 240% as the laser power increased from 2.4 to 3.2 W; the membrane lased with the highest ablation power (LIG-P8) displayed a high water permeance of ~400 L m⁻² h⁻¹ bar⁻¹ and a corresponding bovine serum albumin (BSA) rejection of 92.5%. Fouling experiments using BSA, humic acid (HA), and sodium alginate showed better permeance recovery ratios (78–90%) with LIG membranes compared to the neat PES membrane (65–68%). LIG membranes were also evaluated for antibioufouling filtration tests, which showed exceptional biofilm resistance and potent antibacterial killing effects when treated with Staphylococcus aureus. Applied external voltage and contact time were the key variables to optimize the antibiofouling properties of the LIG UF membranes. Full article

Algal biofuels have been investigated as an alternative to fossil fuels and first-generation biofuels for transportation in the United States since the 1970s. Yet after five decades of development, scalability and implementation remain limited—largely due to persistent barriers such as low biomass productivity, modest lipid yields, and energy-intensive processing methods. These technical challenges significantly constrain the feasibility of large-scale commercialization despite substantial research and investment. To evaluate progress toward commercial viability, this study harmonized energy inputs and outputs across 508 observations on the production of algal biofuel energy return on energy investment (EROEI) in the United States. While bioethanol achieves an EROEI of (2.8) and oil (8.7), the analysis produced a mean EROEI of 1.01—essentially the break-even point—irrespective of system boundaries. Life-cycle analysis results showed that hydrothermal liquefaction in algal diesel production yielded a slightly higher mean EROEI (0.67) than transesterification (0.51), yet both showed net energy losses. Co-products were found to increase EROEI values, particularly when recycled into production processes. Collectively, these findings indicate that research and development to date has not produced a technology with net energy gains sufficient for commercial viability. For this reason, algal biofuels show little potential to alleviate the ongoing decline in the EROEI of petroleum and are not a promising renewable energy option for reducing greenhouse gas emissions from the transportation sector. They also show little promise for alleviating the land use, food vs. fuel and other controversies that have plagued first and second-generation biofuels. Full article

Geomagnetic disturbances are an emerging sustainability challenge for modern, low-carbon and highly interconnected power systems, affecting both grid stability and market performance. We develop a deep causal neural network that fuses geomagnetic observatory measurements with national operational indicators and, via counterfactual inference, traces shock and no-shock trajectories to estimate instantaneous and cumulative impacts. Using Switzerland as a case, shocks significantly change national load, canton-level consumption, cross-border flows, and balancing prices. East–west disturbances have stronger effects than north–south, highlighting the role of grid topology. At the regional scale, the canton of Aargau shows pronounced cumulative consumption responses, revealing spatial heterogeneity. In cross-border exchanges, imports rise after shocks while exports contract and transit flows decline; balancing prices increase markedly, suggesting that market mechanisms can amplify physical stress into economic impacts. The approach goes beyond correlation and exposure metrics by providing system-level, decision-relevant effect sizes. The main contributions are as follows: (i) a deep causal framework that identifies and quantifies the causal effects of geomagnetic disturbances on grid operations and prices; (ii) topology-linked empirical evidence of directional and spatial asymmetries across national, canton-level, and cross-border indicators; and (iii) actionable levers for system operation and market design. These findings inform risk-aware reserve procurement, topology-aware dispatch, and cross-border coordination in highly interconnected, low-carbon grids, helping to enhance reliability, maintain affordability, and facilitate clean-energy integration. Full article

Cherimoya is a fruit tree native to the Andean regions of South America, also in Central America, prized for its flavor, nutritional properties, and medicinal potential. Despite its economic relevance, in situ assessments of phenotypic diversity are limited, particularly in southern Ecuador, a key center of domestication. This study evaluated the morphological and ecogeographic diversity of 270 native trees across eight cantons in Loja province, Ecuador, using 34 qualitative and quantitative descriptors of leaves, flowers, fruits, and seeds. High phenotypic variability was observed, with coefficients of variation exceeding 40% for key traits, including mature fruit weight (48.15%), pulp weight (55.33%) and pulp-to-seed ratio (64.23%). Principal component analysis revealed three major axes of variation associated with productivity, floral morphology, and organoleptic quality. Cluster analysis identified four groups, with one distinguished by a favorable pulp-to-seed ratio and sugar–acid content. Species distribution modeling, which included bioclimatic and soil variables, showed that Gonzanamá, Quilanga and Espíndola possess the highest ecological suitability for cherimoya. These findings highlight priority areas for in situ conservation and phenotype selection, providing a foundation for sustainable use, genetic improvement, and the preservation of locally adapted germplasm to support climate-resilient agricultural systems. Full article

Background/Objectives: Cardiovascular disease (CVD) and cerebrovascular disease (CeVD) remain leading causes of death in the United States, with Mississippi consistently reporting some of the nation’s highest mortality rates. Despite earlier national declines, recent evidence suggests stagnation or increases, particularly in high-burden regions. This study examined short-term trends in CVD and CeVD mortality in Mississippi between 2018 and 2022, stratified by age, sex, and race. Methods: Mortality data for adults aged ≥45 years were obtained from the Mississippi Statistically Automated Health Resource System (MSTAHRS). Age-adjusted mortality rates were calculated per 100,000 population and standardized to the 2000 U.S. population. Joinpoint regression was used to estimate annual percent change (APC) and average annual percent change (AAPC) with 95% confidence intervals (CIs). Analyses were stratified by sex, and within each racial group (White, Black, Other), mortality trends were further examined across age categories (45–54, 55–64, 65–74, 75–84, ≥85 years). Results: Cardiovascular mortality increased significantly among White women in midlife (ages 45–74), while “Other race” men in early midlife and “Other race” women in the oldest age group showed steep increases. Although Black adults did not experience significant changes over time, their mortality rates remained consistently higher than those of White adults. Conclusions: Progress in reducing cardiovascular and cerebrovascular mortality in Mississippi has reversed in several subgroups, particularly midlife White women and smaller racial populations. These findings mirror national stagnation and pandemic-related disruptions, highlighting the urgent need for equity-focused prevention, improved healthcare access, and targeted interventions addressing structural determinants of health. Full article

Gastrointestinal (GI) endoscopy is a daily procedure in clinical practice but contributes substantially to healthcare’s environmental footprint. Data on sustainability policies in Switzerland, however, remain scarce. This study aimed to assess the implementation of sustainability practices among members of the Swiss Society of Gastroenterology (SGG-SSG). We conducted a web-based cross-sectional survey between September 2023 and January 2024, targeting all 463 practicing Swiss gastroenterologists listed in the latest SGG-SSG roster. The survey comprised eleven questions covering four domains: respondent demographics; waste and single-use device management and procurement; digitalization; and work–life balance. A total of 161 respondents participated (response rate: 34.8%). Less than half (45.1%) reported waste sorting, while policies for single-use device reduction (23.5%) and waste minimization initiatives (27.8%) were even less common. Nearly half (48.8%) reported including sustainability considerations in procurement policies. In contrast, 52.8% reported having policies to promote work–life balance, and 88.2% reported policies requiring the use of electronic health records, reflecting significant progress in digitalization. While procurement and digitalization efforts are more widely implemented, further coordinated action is needed. Future research should investigate professional attitudes, institutional barriers, and strategies to enhance the adoption of environmentally responsible practices in GI endoscopy. Furthermore, professional societies (particularly SGG-SSG), hospital administrators, and cantonal health authorities must coordinate to establish national standards, integrate sustainability into accreditation, and implement incentives and accountability to reduce the environmental impact of GI endoscopy without compromising quality of care. Full article

High-performance induction-hardened bearing steels are prone to quench cracking during manufacturing, causing significant material and energy waste. Understanding the physics behind microcracking is essential to the design of alloys and processes with reduced cracking behaviour. However, conventional quench crack analysis methods provide information only on crack severity and neither link martensite microstructure to microcrack formation or provide meaningful insights on the origins of microcracking. Therefore, this work introduces a new crack quantification method that assesses various crack features, including crack length, location within a martensite plate, crack angle to the plate midrib, and the distance from the induction-hardened surface. It is found that microcrack severity changes with the distance from the induction-hardened surface, peaking at ∼1 mm in depth, with a maximum density of approximately 1000 cracks per mm². In addition, microcracks are mostly seen in the martensite plates rather than at the austenite–martensite interface, with the majority lying perpendicular to the midrib. Approximately 50% of the interfacial cracks are oriented at an angle less than 10 °C to the martensite midrib and are mainly located around the midpoint of the interface. Martensite plates having interfacial cracks are mostly 10–20 μm long, whereas martensite plates with internal cracks are mostly 20–30 μm long. The new method helps build quantitative links between microcracking and martensite morphology to study the mechanisms of cracking and the role of the initial microstructure in more detail. Full article

In this work, we address a special challenge for a generative adversarial network, which is to reveal images encoded using dynamic S-boxes based on a cryptographically secure pseudo-random number generator. S-boxes are generated by the logistic function with two time series with delays, resulting in a robust coding. A conditional generative adversarial network (cGAN) designed for image translation is used. Experiments were performed on datasets where image intensity levels varied between 256, 128, 64, 32, and 16 while keeping the image size constant. The main findings can be summarized as follows: a cGAN can be trained to reveal images encoded by S-boxes; the quality of the translated images improves as the number of intensity levels decreases, with images with 16-intensity levels being the sharpest and sharpness decreasing as intensity levels increase; and in an experiment where the input and output images were reversed, cGAN was found to learn to encode images according to the S-boxes method. It was found that a double translation, consisting of first encoding a real image by the reverse experiment and then a second translation to reveal the encoded image, recovered the original image. The translated training and test images resulting from these experiments were evaluated using binary analysis and metrics derived from the confusion matrix. Full article

Fuel cell electric vehicles (FCEVs) rely on a battery system to manage transient load demands and to recover braking energy. In recent years, hybrid topologies that also integrate supercapacitors have gained considerable attention, since they can improve system efficiency, driving dynamics, and component lifetime. Supercapacitors, thanks to their much higher power density compared to conventional batteries, are particularly promising for adoption in FCEVs. Most studies in the literature, however, evaluate these architectures under standardized homologation driving cycles. While such cycles provide a common benchmark for comparison, they generally exhibit less energy-intensive profiles and therefore do not fully capture the real operating demands of a vehicle. For this reason, the present work investigates the use of batteries and supercapacitors in FCEVs under an actual urban driving mission, where the route includes an experimentally measured altitude profile. This approach allows for a more realistic assessment of energy requirements. Furthermore, the analysis carried out in this study considers different powertrain configurations: the exclusive use of a battery, the sole use of a supercapacitor, and a hybrid combination of both systems. These scenarios are evaluated both for an FCEV that can only be refueled with hydrogen and for a plug-in hybrid version of the vehicle that can also recharge its battery from an external charging station. Full article