Search Results (1,702)

Hemotherapy in small ruminants is indicated for several acute and chronic conditions; however, its clinical use is often limited by the difficulty in identifying suitable donors, particularly regarding blood volume availability and hematologic compatibility. Xenotransfusion in small ruminants with bovine blood may represent a practical alternative in emergency situations involving severe anemia when homologous donors are unavailable. This study evaluated the clinical, hematologic, biochemical, and blood gas responses of sheep subjected to acute blood loss followed by bovine whole blood xenotransfusion. Six healthy adult castrated male sheep (mean body weight 44.3 ± 7.2 kg) underwent removal of 40% of their estimated total blood volume. Parameters were assessed before hemorrhage induction (T0) and at times T30, T6h, T12h, T24h, T48h, T72h, T96h, T5d, T6d, T7d, T8d and T16d after transfusion. Acute blood loss significantly reduced packed cell volume and erythrocyte count at T0 (p < 0.05). After xenotransfusion, packed cell volume increased at T30min, T6h, and T12h and remained stable until T72h (p < 0.05), with progressive erythrocyte recovery and sustained macrocytosis. Total leukocyte count remained unchanged, whereas platelets increased at T7D (p < 0.05). Total protein decreased at T0 and subsequently increased. Transient elevations in urea, creatinine, glucose, pO₂, and SO₂ were observed (p < 0.05), without acid–base imbalance. Clinical parameters progressively stabilized, and no severe transfusion reactions occurred. Bovine whole blood xenotransfusion may represent a promising therapeutic alternative for sheep subjected to acute blood loss under the experimental conditions evaluated in this study. The procedure was associated with improvements in clinical, hematological, and biochemical parameters, and no severe transfusion reactions were observed during the monitoring period. These findings support the potential clinical applicability of this approach as an emergency intervention in situations where homologous donors are not readily available. Full article

Accurately monitoring physical activity, including stationary cycling on an exercise bike, is important in managing chronic diseases and rehabilitation after lower limb surgery. This study aimed to validate a new smartphone-based sensor application (the BeSAFE+) for activity recognition and step counting across five phone placements, using the SENS Motion^® system as a reference standard, and observed activity time as ground truth. In a laboratory-based study, 20 participants performed walking, brisk walking, running, high- and low-intensity cycling, sitting, standing, and lying activities while carrying five smartphones placed in the front and back trouser pockets, a backpack, a running armband, and a fanny pack, and wearing the activity tracker. The front pocket placement had the most accurate classification during cycling activities (89–93%) versus SENS Motion^® (96–98%). For other activities, the highest overall classification accuracy was achieved with the phone in the back pocket. Overall, the SENS Motion^® activity tracker demonstrated higher classification accuracy than most smartphone placements across all activities, except for running. Nevertheless, several smartphone placements and Application Programming Interface (API) approaches achieved activity recognition and step count estimates that were not significantly different from the SENS Motion^® activity tracker, indicating that smartphone-based activity recognition can be valid under specific conditions. Full article

Cr-based composite coatings with superior wear resistance are in growing demand for high-performance applications in the automotive, aerospace, and general manufacturing sectors. In this study, an Al10Cu alloy produced via powder metallurgy was coated with a chromium/nanodiamond (Cr/ND) composite layer using an electrodeposition process to enhance its tribological performance. The coatings were characterized using scanning electron microscopy, energy-dispersive X-ray spectroscopy, and X-ray diffraction. The resulting Cr/ND layer exhibited a uniform thickness of 73.5–76.2 μm and markedly improved surface hardness (809.4 HV), representing a 15-fold increase over the uncoated alloy (53.6 HV). Pin-on-disk tribological testing under dry sliding conditions showed complete elimination of detectable mass loss (0.00 mg vs. 0.55 mg for uncoated) within the measurement system resolution, indicating excellent resistance to both abrasive and adhesive wear. XRD analysis revealed the formation of a hexagonal close-packed Cr₂H phase with incorporated nanodiamond particles. To capture and predict the temporal evolution of the friction coefficient, a customized dual-layer long short-term memory neural network—optimized with a look-back window of 3 timesteps and ReLU-activated dense layers—was implemented. The model achieved superior predictive performance on the coated system, with validation and test R² values of 0.9973 and 0.9965, respectively, demonstrating enhanced modeling accuracy for surface-engineered materials. These findings demonstrate a significant advancement in wear protection for aluminum alloys and introduce a robust data-driven approach for real-time friction prediction in engineered surfaces. Full article

A novel approach for detecting preliminary signals designating upcoming entrance of a loaded system to the critical stage of impending fracture is assessed. The approach is based on the analysis of a time series of the cumulative number of acoustic events, the amplitude of which exceeds the respective average value of all the events recorded during loading. Using the “sliding window” technique, the average slope of the evolution of this time series is quantified, either against conventional or natural time (the latter provides a more detailed view of the stage before macroscopic fracture, during which the “information” gathered is very densely packed in a short interval). For the needs of this study, data from a previously published experimental protocol are exploited. The protocol comprised notched, beam-shaped specimens, made of either plain or fiber-reinforced concrete, under three-point bending. It is concluded that the slope of the evolution of the above time series systematically attains a value equal to unity slightly before the applied load attains its peak value. The results of the present analysis are in qualitative agreement with the respective ones based on either the instantaneous frequency of generation of acoustic events or the Euclidean distance between the sources of acoustic signals. Full article

Lymphoma is the most common neoplastic disease in cats; however, lomustine has been insufficiently evaluated as a first-line chemotherapeutic agent. This study assessed treatment response, survival, and progression-free interval (PFI) in cats with intermediate-to-large cell lymphoma treated with lomustine and prednisolone as first-line therapy. Twenty-eight cats with cytologically or histopathologically confirmed lymphoma received lomustine (10 mg/cat every 3 weeks) and prednisolone until disease progression or unacceptable toxicity. All cats were feline leukemia virus- and feline immunodeficiency virus-negative, with a mean age of 9.93 years; alimentary lymphoma was most common (75%). Treatment responses included complete response (CR, 5/28), partial response (5/28), stable disease (11/28), and progressive disease (7/28). The median PFI for all cats was 51 days, and the median survival time was not reached during the study period. No significant associations were identified between PFI or survival and age, sex, packed cell volume, drug dosage, tumor size, or tumor location. Cats achieving CR showed significantly prolonged PFI compared with cats with other responses (median, 561 vs. 42 days; p = 0.0004), and overall survival was also significantly longer (p = 0.0009). These findings may serve as a clinically meaningful guide for the use of lomustine and prednisolone in the treatment of feline lymphoma. Full article

Pregnancy (HP), defined as the coexistence of intrauterine and ectopic gestations, is a rare condition, especially in spontaneous conception, but it is a life-threatening obstetric emergency when rupture occurs, with a reported maternal mortality rate of 0.03%. Diagnosis is often delayed because confirmation of an intrauterine pregnancy can mask clinical signs of a concurrent ectopic gestation. Early recognition and prompt surgical intervention are therefore critical to maternal safety and preservation of intrauterine viability. This case highlights the diagnostic challenges and successful management of a spontaneous ruptured heterotopic pregnancy. Case presentation: A 34-year-old Middle Eastern woman, gravida 4, with a spontaneous conception, presented with sudden severe lower abdominal pain and signs of acute hemoperitoneum (hypotension, tachycardia, and marked peritoneal signs). Transvaginal ultrasound demonstrated a viable intrauterine pregnancy at 9 weeks 4 days gestation, together with a ruptured left tubal ectopic pregnancy of similar gestational age. The patient underwent urgent laparoscopic left salpingectomy with evacuation of approximately 1200 mL of intraperitoneal blood and clots. Postoperatively, she developed significant anemia (hemoglobin drop from 11.2 g/dL on admission to 6.5 g/dL) requiring transfusion of four units of packed red blood cells. Serial ultrasonographic follow-up confirmed ongoing viability of the intrauterine pregnancy, which ultimately resulted in a live birth at term. Progressive resolution of the postoperative pelvic hematoma was also noted. Conclusions: Ruptured heterotopic pregnancy remains a diagnostic and therapeutic challenge. This case, along with a synthesis of the contemporary literature, demonstrates that a high clinical index of suspicion, timely ultrasound diagnosis, and immediate minimally invasive surgical management are paramount. Furthermore, rigorous postoperative monitoring and resuscitation, including targeted transfusion, are essential to achieve maternal stabilization while allowing continuation of a viable intrauterine pregnancy, with reported live birth rates exceeding 70% following timely intervention. Full article

Engineering drawings are fundamental to industries such as oil and gas, construction, and manufacturing. However, current practices relying on manual design or rigid parametric templates often suffer from inefficiency and layout inconsistencies. To address these issues, the layout task is formulated as the Orthogonal Rectangle Packing Problem with Multiple Configurations and Complex Constraints (ORPPMC). The Deep Reinforcement Learning for Multi-Configuration Drawing Layout (DRL-MCDL) framework is proposed, which integrates the Pointer Network for Drawing Element Sequencing (PN-DES) with the Target-Type-Matching-based Multi-Pattern Positioning Strategy (TTM-MPPS). Within this framework, PN-DES employs deep reinforcement learning and feature fusion to combine element attributes with layout configurations for optimal sequence inference, while TTM-MPPS performs precise positioning in accordance with industrial rules to ensure strict adherence to aesthetic requirements. Ablation experiments validate the contribution of each module. Experimental results on real-world engineering drawings demonstrate that DRL-MCDL achieves a Feasibility Rate (FR) exceeding 98.5% on standard instances (12–40 elements), significantly outperforming traditional methods. Furthermore, it maintains a high inference efficiency with an Average Time (AT) of less than 0.3 s, striking an optimal balance between layout quality and computational speed. Full article

Lossless image compression is pivotal for deep-space exploration. Considering the requirements of deep-space exploration for a high compression ratio and real-time processing, traditional image compression algorithms have garnered significant attention. However, existing algorithms struggle with real-time processing speed and compression degradation in high-noise regions, failing to meet the throughput demands of next-generation sensors. To address these challenges, this paper proposes a high-throughput and noise-resilient lossless image compression architecture, named HT-NRC, for deep-space CMOS cameras. First, to overcome the throughput bottleneck, we introduce a parallel processing method, which is built on index-based dispatch and Reorder mechanism. This is achieved by dynamically distributing pixel streams into parallel cores and utilizing a Reorder Buffer for sequence restoration. Second, to mitigate low compression efficiency in noisy backgrounds, we present a Heterogeneous Dual-Path Coding scheme. This system adaptively separates structural information for predictive coding and stochastic noise for raw packing with Bit-Plane Slicing (BPS) strategy. The proposed architecture was implemented on a Xilinx Virtex-7 FPGA (Xilinx, Inc., San Jose, CA, USA). Operating at 100 MHz, the system achieves a processing throughput of 414.7 Mpixel/s and a high average compression ratio under deep-space image datasets, while consuming an estimated total on-chip power of only 2.1 W. Experimental results show that our proposed method substantially outperforms existing baseline methods. Specifically, compared to the optimized serial JPEG-LS implementation processing one pixel per clock cycle, our parallel architecture achieves an approximately 314.7% increase in processing throughput. Full article

Thermochemical heat storage technology serves as an effective approach for efficient recovery and cross-seasonal storage of low-grade waste heat. However, traditional packed-bed heat exchange methods in industrial applications are prone to material contamination and performance degradation due to impurities in waste heat gases. To address this, this study proposes and constructs a thermochemical heat storage system based on moving-bed indirect heat exchange, using magnesium sulfate heptahydrate (MgSO₄·7H₂O) as the heat storage medium. The system investigates its desorption and heat storage characteristics within the moving bed. A small-scale moving-bed experimental platform was established, incorporating a vacuum-assisted system to promptly remove water vapor generated during desorption. The experimental system examines the effects of different operating parameters (e.g., inlet water temperature and flow rate) on particle temperature fields, desorption rates, and overall heat transfer performance. Results demonstrate that MgSO₄·7H₂O exhibits excellent heat storage stability and reaction controllability in the medium-low temperature range (60–95 °C). Increasing inlet water temperature and flow rate enhances desorption processes, but high temperatures also lead to increased temperature gradients, reducing waste heat recovery rates. Practical applications require optimizing the balance between heat transfer enhancement and desorption time. Compared to conventional heat storage particles, the moving-bed system using magnesium sulfate heptahydrate achieves approximately 30% higher overall heat transfer coefficient. Compared to traditional packed beds, the moving-bed heat exchange method demonstrates superior heat transfer uniformity and storage efficiency. This study validates the feasibility of the “moving-bed + thermochemical heat storage + vacuum desorption” technology under non-clean heat source conditions, providing experimental evidence and technical references for efficient industrial waste heat recovery and high-density storage. Full article

Efficient ortho–para hydrogen conversion is essential to suppress spontaneous heat release and boil-off losses during cryogenic liquid hydrogen storage and pre-liquefaction processes. In this study, a novel catalyst-filled wavy plate-fin heat exchanger (CFHE) is proposed to simultaneously enhance heat transfer and ortho–para hydrogen conversion under cryogenic conditions. Compared with conventional straight-fin configurations, the wavy-fin structure introduces controlled flow perturbations and increased specific surface area, thereby intensifying transport processes. Three-dimensional computational fluid dynamics (CFD) simulations, using the SST k–ω turbulence model, coupled with an ortho–para hydrogen conversion kinetic model were performed to quantitatively investigate the effects of key geometric parameters and catalyst loading on hydrogen conversion, heat transfer, and pressure drop within a Reynolds number range of 941–1577 and a temperature range of 35–20 K. Within the same CFHE configuration, the para-hydrogen fraction remains nearly unchanged without catalyst but increases significantly with catalyst loading. However, the catalyst reduces the global average Colburn j-factor by about 25%. Despite higher friction losses, the outlet–inlet temperature difference decreases to about 0.866 times that of the non-catalyst case, indicating improved temperature uniformity. A comprehensive performance index e, integrating heat transfer enhancement, flow resistance, and conversion efficiency, was introduced and optimized using a genetic algorithm. The optimized CFHE achieves an outlet para-hydrogen fraction exceeding 95% of the thermodynamic equilibrium value while maintaining hydrogen entirely in the gaseous phase to avoid catalyst deactivation. Overall, the catalyst-packed wavy channel configuration demonstrates superior conversion efficiency, enhanced thermal uniformity, and improved overall performance compared with straight-fin structures, providing quantitative design guidance for high-performance heat exchangers in cryogenic hydrogen liquefaction systems. Full article

Vehicle recharge time is a key barrier to widespread adoption of battery electric trucks, where megawatt class charging could be used to achieve refueling times comparable to internal combustion vehicles. This work presents the design and validation of a megawatt-capable rechargeable energy storage system (144 kWh, 40P384S) together with a physics-based modeling framework for safe 1 MW operation. The pack architecture is reconfigurable, enabling nominal 750 V (80P192S) propulsion mode as well as 1125 V and 1500 V charging modes compatible with the Megawatt Charging System (MCS). An equivalent circuit model is developed to relate cell-level parameters to pack-level power, heat generation, and temperature rise, providing guidance on feasible charge profiles and thermal limits. A Simulink-based digital twin of the reconfigurable pack is then used to analyze sensitivity to current sensor mismatch and to verify protection logic for multiple bus voltage configurations. Finally, pack tests up to 1 MW confirm the model-predicted operating envelope and illustrate practical constraints imposed by charger voltage and pack resistance. The combined hardware and modeling approach provides a reusable platform for studying extreme fast charging of medium- and heavy-duty BEV packs-class charging -capable rechargeable energy storage system (144 kWh, 40P384S) together with a physics-based modeling framework for safe 1 MW operation. The pack architecture is reconfigurable, enabling nominal 750 V (80P192S) propulsion mode as well as 1125 V and 1500 V charging modes compatible with the Megawatt Charging System (MCS). An equivalent-circuit model is developed to relate cell-level parameters to pack-level power, heat generation, and temperature rise, providing guidance on feasible charge profiles and thermal limits. A Simulink-based digital twin of the reconfigurable pack is then used to analyze sensitivity to current–sensor mismatch and to verify protection logic for multiple bus-voltage configurations. Finally, pack tests up to 1 MW confirm the model-predicted operating envelope and illustrate practical constraints imposed by charger voltage and pack resistance. The combined hardware and modeling approach provides a reusable platform for studying extreme fast charging of medium- and heavy-duty BEV packs. Full article

Fresh market blueberry (Vaccinium spp.) fruits are fragile and experience numerous impacts during harvest, packing, and shipping. Mechanical harvest of southern highbush blueberries (SHB) is being increasingly implemented due to rising costs and limited availability of labor. As new commercial cultivars become available, questions arise among growers as to their suitability for mechanical harvest. Early spring harvests in growing areas in the southeastern U.S. routinely occur when ambient temperatures exceed 30 °C. A series of experiments was conducted over a decade to determine the effects of mechanical impacts on fruit quality. These experiments employed a 60 cm drop height to induce bruising under three scenarios encountered during commercial harvest and handling. (1) Harvest interval: Nonimpacted ‘Star’ and ‘Sweetcrisp’ fruits had higher soluble solids content to titratable acidity ratios (SSC:TA) after a 7-day interval (Harvest 2) as compared with those from the initial Harvest 1. Impacted ‘Star’ blueberries from Harvest 2 were 70–100% softer during 14-d storage at 1 °C/85% relative humidity than those from Harvest 1, whereas ‘Sweetcrisp’ fruits were less affected by the harvest delay (30–40% increase in soft fruit). (2) Pulp temperature at impact: There were no differences in bruise severity for ‘Meadowlark’, ‘Colossus’, or ‘Sentinel’ due to pulp temperature at impact. Overall, impacted fruits consistently exhibited greater weight loss (3% to 9%), were softer, and had more severe bruising compared with nonimpacted controls. (3) Delays between harvest and impact: Delay-to-impact (5 or 24 h) did not affect weight loss for ‘Meadowlark’ (0.57% to 0.62%) during 4 d of storage at 5 °C. ‘Colossus’ and ‘Sentinel’, held overnight at 22 °C, lost approximately 35% to 45% more fresh weight after the 24 h delay to impact compared with those fruits with the 5 h delay to impact. Impacted blueberries exhibited significantly more severe bruising (38.5% to 84.4%) than control fruits (1.0% to 8.3%). ‘Sentinel’ was softer at harvest than the other cultivars and had the highest amount of severe bruising (82.7%), followed by ‘Meadowlark’ (52.67%) and ‘Colossus’ (42.57%). Flavor profiles varied by cultivar, with SSC:TA ratios ranging from 18 (‘Colossus’) to 21 (‘Meadowlark’) to 44 (‘Sentinel’). Immediately after impact at 15 °C, 20 °C, or 30 °C, the respiration rate (RR) for ‘Meadowlark’ increased as compared with the control fruit. RR for fruits at 5 °C or 10 °C remained fairly constant during the 8 h measurement period. These findings highlight the interactions of harvest interval, pulp temperature, and delay to impact on the postharvest quality of several commercially grown, SHB cultivars over this extended period of time. These three factors must be considered in order to develop effective strategies for mechanical harvest under the warm spring conditions encountered in the subtropical growing conditions in the southeastern U.S.A. Full article

Instant noodle fortification with fish-derived proteins enhances nutritional value; however, the effects of catfish powder (CFP) combined with different drying methods and barrier packaging on prolonged storage stability remain unknown. This study incorporated 10% (w/w) CFP into wheat flour-based instant noodles processed by tray drying or deep-fat frying, yielding four treatments: control tray-dried (CD), control fried (CF), CFP tray-dried (TD), and CFP fried (TF). Samples were packed in metallized low-density polyethylene (M-LDPE) and evaluated every 15 days over 180 days. CFP fortification increased protein and mineral content, which remained stable throughout storage. CFP incorporation and frying elevated lipid oxidation, whereas tray drying improved oxidative stability. Drying methods influenced moisture attributes, product structure, rehydration behavior, and color; tray-dried noodles retained higher lightness and hardness, whereas fried noodles showed faster water uptake. Cooking performance remained largely stable, with gradual shifts noticed in CF and TF samples over time. Microbiological quality remained acceptable, with no pathogens detected. Multivariate analysis identified the drying method as the primary driver of quality differentiation, with storage time intensifying oxidation and color divergence. Overall, tray drying with M-LDPE packaging is recommended to optimize the nutritional and storage stability of CFP-fortified instant noodles. Full article

Background/Objectives: Nurse–mother communication is central to maternal participation in Neonatal Intensive Care Units (NICUs), yet high acuity and workflow rhythms can compress dialogue and weaken shared understanding. This study used Communication Accommodation Theory and the Transactional Model of Stress and Coping to explain multilevel drivers of communication barriers and to co-produce feasible improvement strategies. Methods: A dyadic qualitative design was conducted across four Level III NICUs. Data were triangulated from 37 semi-structured interviews (18 mothers and 19 nurses, recruited through purposive maximum-variation sampling), approximately 40 h of non-participant observation, and 12-unit documents. A team-based codebook thematic analysis was applied, integrating observational logs with interview and document data to refine patterns and mechanisms. Results: A context-produced pattern of interactional compression was identified. Mothers contributed 2 or fewer speaking turns in 21/30 logged bedside encounters and were present in 13/16 observed round episodes, speaking in 5/13 of those episodes. Interpretability and language access gaps were common: unexplained technical terms occurred in 24/46 logged interactions; teach-back prompts occurred in 7/18 education encounters; professional interpreters were present in 3/9 language-discordant events. Three participation configurations described coping-linked engagement: threat–compression (n = 8), convergence-to-coping (n = 6), and resource-scaffolded participation (n = 4). In co-production, stakeholders co-produced (i.e., collaboratively identified and prioritized) three mechanism-targeted changes: protected post-round question-and-answer time incorporating teach-back, standardized visual “mini-packs,” and 24/7 interpreter access. Conclusions: Nurse–mother communication in NICUs can be structurally compressed by workload rhythms and uneven interpretability supports. Co-produced organizational scaffolds may expand opportunities for accommodation, comprehension verification, and equitable maternal participation. Full article

It is of great significance to clarify the evolution law and control mechanism of fracture conductivity in different production stages for the efficient development of coalbed methane. However, research on fracture conductivity in coal–rock remains limited, and the existing models are inadequate for predicting fracture conductivity with a consideration of staged proppant crushing. To address this gap, long-term conductivity tests were conducted on deep coal–rock under varying closure pressures and proppant gradation ratios. Within a coupled computational fluid dynamics and discrete element method (CFD-DEM) framework, a particle substitution scheme was integrated with the energy-based breakage model (Tavares breakage model) to develop a fracture conductivity predictor that incorporates proppant crushing and captures the time-dependent kinetics of proppant breakage during fracture conductivity evaluation. The model’s predictions align well with the experimental data, with an average error of less than 5%. The results indicate that fracture conductivity evolution can be delineated into three stages according to particle-breakage characteristics, (i) proppant pack compaction, (ii) the primary crushing of coarse proppant grains, and (iii) the secondary crushing of proppant fines, and the contributions of these three stages to the total conductivity loss are approximately 60%, 30%, and 10%, respectively. At a low closure pressure, fracture conductivity varies markedly among proppant packs with different particle sizes; once the closure pressure exceeds 40 MPa, the proppant pack enters the fines-breakage stage, and the conductivity differences among various particle size blends become marginal. Furthermore, a semi-empirical prediction model incorporating a composite crushing factor (CCF) was developed based on the Kozeny–Carman relationship, enabling a rapid evaluation of fracture conductivity in deep coal–rock fractures. Overall, these results provide a practical basis for fracture conductivity prediction and hydraulic fracturing parameter optimization in coal–rock reservoirs. Full article