Search Results (1,110)

Climate change is increasing the frequency of heat stress events in dairy farming, adversely affecting milk production, milk composition, cow behavior, and animal health. However, many previous studies relied on distant weather-station data and low-frequency milk recording systems, limiting the assessment of short-term and delayed heat stress responses. Therefore, the aim of this study was to combine dense longitudinal data from automatic milking systems (AMS) with continuously recorded on-farm meteorological measurements to investigate the immediate and lagged effects of heat stress on Holstein dairy cows. The study included 386,587 AMS visit records from 790 cows on three commercial dairy farms in Germany, corresponding to up to 127,310 cow-day records collected between August 2022 and August 2025. Temperature–humidity index (THI) values were calculated based on dense on-farm temperature and relative humidity records and were evaluated for multiple lag periods prior to AMS recordings. Linear mixed models were applied to infer the effects of THI on production, physiological, behavioral, and milking process traits. Increasing THI was associated with reduced daily milk yield, altered milk fat and protein percentages, decreased AMS visit frequency, prolonged milking intervals, and increased milk temperature. For contemporaneous THI, an increase from THI 50 to THI 70 corresponded to model-estimated declines of −0.86 kg in daily milk yield, −0.20% in milk fat content and −0.06% in milk protein content, −0.12 daily AMS visits, and +1.14 °C in milk temperature. The strongest associations were generally observed for prompt and short-term lagged THI windows. In contrast, longer lag periods were associated with weaker and less distinct trait responses. Rather than merely confirming the established decline in milk yield under heat stress, the integrated and temporally resolved analysis revealed trait-specific response patterns across production, behavioral, physiological, health-related, and milking-process traits. In particular, milk temperature and voluntary AMS attendance showed pronounced associations with contemporaneous and short-term THI, demonstrating the value of combining AMS-derived phenotypes with high-resolution on-farm climate data for heat stress monitoring. Full article

Carbon nanoparticles (CNPs) have attracted considerable attention for biomedical applications owing to their excellent biocompatibility, tunable optical properties, and low toxicity. In this study, we report a simple, rapid, and cost-effective one-pot bottom-up synthesis of fluorescent carbon nanoparticles using propanoic acid as a novel liquid carbon precursor. Unlike conventional approaches that often require high temperatures, lengthy reaction times, or complex procedures, the proposed method enables efficient nanoparticle synthesis under mild thermal conditions. The use of propanoic acid enabled carbonization under relatively mild conditions, yielding nanoparticles with excellent aqueous dispersibility. Following the synthesis of CNPs using propanoic acid as the carbon precursor, the nanoparticles were treated with ethylenediamine (EDA) as a nitrogen source and surface-passivating agent, yielding nitrogen-doped carbon nanoparticles (NCNPs). The resulting NCNPs exhibited approximately fourfold higher fluorescence intensity than the undoped CNPs. The NCNPs exhibited strong visible photoluminescence with a dominant emission band in the green spectral region (490–540 nm), which is advantageous for cellular imaging due to reduced background interference and improved imaging selectivity. Furthermore, the NCNPs demonstrated high aqueous solubility, cellular permeability, and excellent photostability under the in vitro imaging conditions investigated. The bioimaging capability of the NCNPs was evaluated using human lung fibroblasts and lung cancer cells. Confocal fluorescence microscopy revealed efficient cellular uptake and successful nuclear labeling without observable photobleaching and morphological alterations. These findings demonstrate the feasibility of using propanoic acid-derived NCNPs as fluorescent probes for cellular imaging and suggest their potential for future applications in bioimaging, biosensing, and related biomedical research. Further studies are warranted to evaluate their long-term biological safety and performance. Full article

The increasing prevalence of antimicrobial resistance in bacteria highlights the need for alternative membrane-active compounds with favorable safety profiles. β-Caryophyllene (BCP), a bicyclic sesquiterpene, has demonstrated antimicrobial effects; however, its biological responses in Gram-negative bacteria and associated membrane interactions remain insufficiently characterized. In this study, the growth inhibitory effect of BCP against E. coli ATCC 25922 was evaluated through OD595 growth kinetics, while hemocompatibility was assessed using sheep erythrocytes, and cannabidiol (CBD) was included as a comparative control. To investigate membrane-associated effects, differential scanning calorimetry (DSC) was performed using DPPE/DPPG (8:2) bilayers as a simplified phospholipid membrane model. BCP inhibited bacterial growth with an IC₅₀ of 0.83 mg/mL and exhibited low hemolytic activity (2.92% at 1 mg/mL). DSC analyses revealed concentration-dependent shifts in phase transition temperature and reductions in transition enthalpy (ΔH kJ/mol) 36% and 82% for BCP-5 and CBD-10 according to the control, indicating alterations in lipid organization and membrane thermotropic behavior. In contrast, CBD showed greater growth inhibitory potency (IC₅₀ of 0.042 mg/mL) but more pronounced disruption of membrane organization. Overall, these findings suggest that BCP exhibits moderate growth inhibition associated with membrane related effects and low hemolytic activity, providing insights into the relationship between physicochemical properties, membrane interactions, and biological responses. Full article

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with ectopic fat accumulation and alterations in adipose tissue function. However, the relationships of structural and thermogenic adipose imaging markers with hepatic steatosis remain incompletely understood. This study aimed to jointly evaluate the cross-sectional associations of epicardial adipose tissue (EAT) thickness and infrared thermography (IRT)-derived brown adipose tissue (BAT)-related thermogenic activity with controlled attenuation parameter (CAP)-defined hepatic steatosis severity in adults with suspected MASLD. Methods: In this cross-sectional study, 207 adults undergoing clinical evaluation for suspected MASLD underwent transient elastography to obtain the controlled attenuation parameter (CAP) for hepatic steatosis assessment. EAT thickness was measured by transthoracic echocardiography, and BAT-related thermogenic activity was assessed by infrared thermography using the supraclavicular-to-chest temperature difference (ΔTemp). Associations of these adipose imaging phenotypes with CAP were evaluated using correlation analyses, sequential multivariable linear regression models, and BAT-stratified analyses. Results: EAT thickness increased progressively across CAP-defined steatosis grades (p < 0.001) and was positively correlated with CAP (r = 0.637, p < 0.001), whereas ΔTemp decreased with increasing steatosis severity and was inversely correlated with CAP (ρ = −0.277, p < 0.001). In sequential multivariable regression models, EAT thickness remained independently associated with CAP across adjustments for age, sex, body mass index, metabolic variables, and ΔTemp (standardized β = 0.559–0.623; all p < 0.001). Both EAT thickness and ΔTemp were independently associated with CAP in the fully adjusted model, with a stronger association for EAT thickness (standardized β = 0.559 vs. −0.167; p < 0.001 and p = 0.004, respectively). Stratified analyses demonstrated consistent associations between EAT thickness and CAP across both BAT-low and BAT-high activity groups. Conclusions: Greater EAT thickness and lower IRT-derived ΔTemp were independently associated with greater CAP-defined hepatic steatosis severity, with EAT thickness showing the stronger standardized association. These complementary structural and thermogenic imaging correlates warrant prospective evaluation to clarify their directionality and clinical relevance. Full article

Background and Clinical significance: Potassium is one of the most frequently measured laboratory parameters used to assess a patient’s clinical status and is also one of the analytes most commonly affected by preanalytical errors. Case Presentation: A potassium test was ordered for a 63-year-old male patient. The result obtained was 6.4 mmol/L, indicating hyperkalemia, and a medical consultation was recommended in the laboratory report. As the potassium result was inconsistent with the patient’s clinical status, a new blood sample was analyzed the next day. This yielded a result that was 1.3 mmol/L (20%) lower. A detailed interview with the patient and the staff responsible for blood sample collection revealed that the spurious hyperkalemia was most likely caused by prolonged storage of the blood sample in a refrigerator implemented because of high ambient temperatures. Further analysis demonstrated that after storage of blood samples at low temperature, potassium concentration increased significantly on average by 5% and 20% at the 4 h and 8 h time points, respectively. Conclusions: Low temperature and prolonged blood sample storage before analysis significantly affect potassium results. Since even a slight alteration in potassium levels can have a severe impact on a patient’s health and may require immediate action, obtaining accurate potassium results requires ensuring appropriate conditions for sample storage and transport, and proper sample handling. This is particularly important in laboratories serving large geographical areas, where prolonged storage and transportation of blood samples can considerably extend the preanalytical phase. Full article

A one-dimensional Thue–Morse graphene photonic crystal (1D TMGPC) composed of alternating identical dielectric layers and graphene sheets is proposed, in which two distinct graphene chemical potentials are arranged according to a Thue–Morse quasi-periodic sequence. Using the transfer matrix method, we demonstrate that this structure effectively modulates terahertz waves and generates multiple abundant photonic bandgaps at both 20 K and 300 K. Notably, a novel splitting of low-frequency bandgaps produces two additional omnidirectional and polarization-insensitive bandgaps centered at approximately 1.45 THz and 1.95 THz. By analyzing the dispersion relations, reflection phase, photonic density of states, and electric field distributions, the boundary-driven modulation mechanism associated with the quasi-periodic chemical potential is elucidated. Furthermore, the proposed structure exhibits excellent multi-dimensional tunability. The bandgap properties can be dynamically tuned via the electrical control of graphene chemical potentials without altering the physical geometry. Structural tailoring provides an additional degree of freedom, as increasing the Thue–Morse sequence order induces passband splitting. Additionally, increasing the number of repeating periods yields comb-like multi-channel narrowband filtering responses. At a cryogenic temperature of 20 K, two distinct multi-channel narrowband comb filtering responses appear in the frequency ranges of 1.20–1.33 THz and 4.10–4.80 THz, with a minimum full width at half maximum (FWHM) of 1.10 GHz. At a room temperature of 300 K, the higher-frequency comb filtering response remains in the range of 4.10–4.80 THz, with a minimum FWHM of 5.70 GHz. Moreover, we evaluate the performance and stability of the structure when employed as filters and electro-optic switches, thereby providing useful insights for terahertz applications. With its simple geometry, abundant bandgaps, and flexible electro-structural tunability, the proposed 1D TMGPC is highly promising for broadband and electrically tunable terahertz devices. Full article

Computational fluid dynamics (CFD)-driven optimization of engineering systems is often constrained by high computational cost, particularly when surrogate models must be constructed from limited simulation samples. Although surrogate-assisted multi-objective optimization can substantially reduce CFD evaluations, local prediction errors in decision-sensitive Pareto regions may alter feasibility classification and engineering recommendations near active constraints. To address this issue, this study proposes a Pareto-active-region-guided sequential surrogate modeling framework (PAR-SSM) for multi-objective optimization of liquid-cooled battery thermal management systems. Starting from 15 face-centered central composite design (FCCD) samples, the framework selectively introduces additional high-fidelity CFD evaluations into Pareto-active and constraint-sensitive regions, yielding a 21-sample refined surrogate model. Rather than uniformly improving global prediction accuracy, PAR-SSM directs the limited CFD budget toward regions where surrogate errors can directly influence engineering decisions. After model freezing, three independent Fluent cases were used exclusively for validation, yielding mean absolute deviations of 0.098 °C for maximum temperature and 0.341 °C for temperature difference, while also revealing residual feasibility risk near active constraint boundaries. Application to an autonomous underwater vehicle (AUV) battery module showed that the N = 3 configuration dominated the nominally constrained Pareto set and provided a favorable thermal–hydraulic trade-off under low auxiliary energy consumption. Overall, PAR-SSM provides a decision-oriented strategy for balancing computational cost and optimization credibility in CFD-intensive, constrained multi-objective design. Full article

To mitigate high-temperature VOC emissions and reduce construction temperatures in recycled asphalt, a USP warm mix additive was introduced into waste soybean oil (WSO) recycled asphalt. This study systematically investigates the effects of USP content (1%, 3%, 5%, and 7%) and construction temperature (140 °C and 160 °C) on VOCs emission characteristics, inhibition mechanisms, and rheological performance. The results show that USP reduces total VOC emissions, with the key inhibition effect achieved at 5% USP. At 160 °C, the VOCs inhibition rate reached 39.5% at 5% USP, while at 140 °C it increased to 80.8%; the findings suggest that lower temperatures enhance the inhibitory effect. The results show USP cuts emissions via physical mechanisms. However, the significant FTIR and DSC analyses suggest that VOC reduction appears to be primarily governed by physical mechanisms, including phase-change cooling, physical encapsulation, and migration retardation, without altering the chemical structure of asphalt. Moreover, the important rheological results indicate that although USP slightly decreases the high-temperature complex modulus and rutting factor, the evidence demonstrates that it improves the percent recovery (R_0.1 from 53% to 66%; R_3.2 from 21% to 40%) and low-temperature crack resistance through decreased stiffness S and increased m-value. In light of these significant findings, the study demonstrates that USP exhibits a multi-performance balance, appearing to reduce VOC emissions and improve workability while moderately weakening high-temperature deformation resistance. Notwithstanding the reduced high-temperature resistance, the key evidence could demonstrate that USP enhances elastic recovery and low-temperature performance in the results. The optimal USP content appears to be 5%, providing the critical compromise between emission reduction and pavement performance for WSO recycled asphalt. Full article

Bulk compressibility of reservoir rocks can be characterized dynamically or statically, and both vary with burial depth due to increasing temperature and pressure. To quantify these effects, cyclic hydrostatic compression tests are conducted on two reservoir sandstones under confining pressure up to 50 MPa at three temperatures (30 °C, 70 °C, and 110 °C). Experimental results show that static bulk compressibility is consistently larger than dynamic values across all tested conditions. As confining pressure increases, static compressibility decreases more sharply than dynamic compressibility, leading to a gradual reduction in their discrepancy. In contrast, temperature exerts a weaker yet more complex influence. Elevated temperature increases dynamic bulk compressibility, but has opposite effects on static compressibility upon loading versus unloading: it reduces static compressibility upon hydrostatic loading but enhances it upon unloading. This complex temperature dependence is attributed to thermally induced stress, which resists hydrostatic compression during loading but assists decompression during unloading. The influence of thermal stress is more pronounced at low confining pressures. These findings highlight that temperature not only alters the magnitude of static compressibility but also introduces path-dependent asymmetry between loading and unloading, which has important implications for reservoir geomechanics, subsidence prediction, and production-induced compaction in high-temperature environments. Full article

Soybean meal protein, a byproduct of soybean processing, has limited functional properties such as emulsifying performance, which restricts its application in foods. Given that high-temperature extrusion tends to cause excessive denaturation and irreversible aggregation, this study aimed to investigate the effects of relatively low extrusion temperatures (85–105 °C) on the structural and functional properties of soybean meal protein. The results showed that extrusion altered the molecular structure and functional characteristics of the protein. With increasing extrusion temperature, the β-sheet content increased while the α-helix content decreased in the secondary structure, and tertiary structural rearrangements occurred, with hydrophobic groups being exposed and subsequently buried. At 95 °C, the protein formed a relatively porous and loose microstructure and exhibited the strongest surface hydrophobicity, water-holding capacity, oil-holding capacity, and emulsifying properties; at 100 °C and above, excessive aggregation occurred, pore structure collapsed, and functional properties declined. Meanwhile, extrusion generally reduced protein solubility. Therefore, 95 °C is identified as the optimal extrusion temperature under the conditions of this study. In addition, this study reveals the correlation between structural reconstruction and functional changes of soybean meal protein, providing a theoretical basis for its high-value utilization and application in the food industry. Full article

The Taiwan loach (Paramisgurnus dabryanus ssp. Taiwan) is a popular cultured fish in southern China due to its rich nutritional content and rapid growth. Oxidative stress and homeostatic imbalance induced by low temperature are among the key factors restricting its large-scale aquaculture. Therefore, it is of great significance to investigate the oxidative stress damage and the adaptive mechanisms employed by this species in response to low temperature. In this study, the water temperature was lowered from 24 °C to 8 °C at a rate of 2 °C/h. Afterwards, the temperature was held at 8 °C for two durations: 12 h and 48 h. Antioxidant indices indicated that the Taiwan loach suffered from oxidative stress damage at the 12 h stage, but the antioxidant enzyme defense system was not fully activated. As the cold stress extended to 48 h, the activities of total superoxide dismutase (T-SOD), glutathione peroxidase (GSH-Px) and catalase (CAT) increased significantly (p < 0.01). Histological observations revealed that the livers exhibited cellular vacuolation, sinusoid congestion and karyolysis under cold stress. Transcriptomic data revealed that the Taiwan loach underwent adaptive alterations in response to low temperature through diverse pathways. We speculate that, at low temperature, the Taiwan loach may, on the one hand, regulate lipid metabolism to maintain cell membrane fluidity and meet energy demands, and, on the other hand, reprogram protein synthesis and processing to avert the overaccumulation of misfolded proteins. In addition, it also adopts a strategy of lysine and polyamine accumulation. This study provides a novel theoretical basis for breeding cold-tolerant varieties of Taiwan loach and optimizing overwintering aquaculture management. Full article

The Yiyuan jade from Luanchuan County, Henan Province (Central China), has been known since the Neolithic period and provides a scientific reference for tracing the provenance of jade artifacts from nearby Neolithic sites. In this study, the mineralogical characteristics and color genesis of the Yiyuan jade were investigated using petrography, XRD, SEM–EDS, FTIR, UV–Vis–NIR, and EPR spectroscopy. The jade occurs in four color varieties and is petrologically classified as serpentine–bearing dolomitic marble formed by Neoproterozoic gabbroic magma intrusion and subsequent low–temperature alteration. The color variations correspond to distinct mineral assemblages. White jade is dominated by calcite and dolomite; bluish–black jade by antigorite, clinochlore, and chamosite; bluish–white jade contains intermediate proportions of these phases; and green jade consists mainly of epidote and actinolite. The bluish color intensity shows a quantitative correlation with the green mineral content. Bluish–white appears when antigorite and clinochlore together account for 5%–40%, bluish–black when they exceed 40%, and bluish–gray when chamosite exceeds 10%. The bluish–black coloration is controlled by the dense fibrous interwoven microstructure of antigorite rather than by Fe or other elemental chromophores. These distinctive features serve as diagnostic criteria for identifying bluish–black jade materials from Neolithic sites in the Luanchuan region. Full article

Climate change is altering energy-demand patterns through changing temperatures and heating and cooling requirements. Long-term energy-demand projections are essential for energy security, infrastructure planning, and preparing net-zero energy systems. However, integrated assessments of climate-sensitive electricity and gas demand trajectories in the UK under long-term climate-forcing pathways and net-zero transition assumptions remains limited. To address this gap, this study develops a scenario-based machine-learning framework to jointly project electricity and gas demand in the UK up to 2050 under climate-forcing pathways. CMIP6 daily temperature projections at 0.25° resolution are used to calculate Heating Degree Days and Cooling Degree Days under low-, intermediate-, and high-forcing pathways, labelled RCP2.6, RCP4.5, and RCP8.5. These indicators are used as inputs to Random Forest models for electricity and gas demand. By 2050, electricity demand under RCP8.5 is 4.1% higher than under RCP2.6, while gas demand is 6.8% lower. Under the net-zero adjustment, gas demand declines because of the assumed 75% reduction in gas use, while electricity demand rises as part of displaced gas demand shifts to electricity. Adjusted electricity demand differs by 2–3 TWh between the highest- and lowest-warming pathways, while adjusted gas demand differs by 7–8 TWh. The framework jointly assesses climate-sensitive electricity and gas demand and links these projections to net-zero gas-reduction and electrification assumptions. The results support electricity-capacity and storage planning, electrification strategies, hydrogen infrastructure investment, and decisions on the future role of gas networks in UK energy-security planning under changing climate and transition conditions across Britain. Full article

Accurate wellbore-pressure prediction is essential for safe drilling and pressure management in ultra-deep wells, where high temperature and pressure strongly alter drilling-fluid rheology. Existing rheological-parameter models are often calibrated for specific fluids and narrow temperature–pressure ranges, limiting their use in ultra-deep-well hydraulics. We measured three water-based drilling fluids at temperatures and pressures up to 210 °C and 206.5 MPa, compared seven rheological models, and developed a multidimensional evaluation method considering global fitting accuracy, extreme-condition performance, low-shear-rate representation, absolute shear-stress deviation, and model complexity. Using ambient-condition Herschel–Bulkley (H-B) parameters as baselines, we proposed a temperature–pressure (T-P)-coupled correction model requiring fluid-specific calibration to predict H-B parameters over the tested range. The fluids exhibited temperature-induced thinning, pressure-induced thickening, and shear-thinning behavior. The H-B model showed the best overall performance, with mean R² values above 0.997 and mean absolute percentage errors below 2.5% for all fluids. Substituting the corrected parameters into the H-B equation yielded mean shear-stress errors no greater than 4.04%. Field validation showed that the T-P-coupled model reduced the mean circulating-pressure-loss error from 2.72% to 0.78%. This approach provides practical inputs for rheology estimation and circulating-pressure calculation in ultra-deep wells under wide temperature and pressure conditions. Full article

Lethal foodborne illness outbreaks represent a critical intersection of public health surveillance, environmental health, and forensic toxicology. When acute gastrointestinal syndromes lead to sudden death, traditional postmortem investigation techniques are often hindered by tissue autolysis and the overgrowth of putrefactive microflora, which complicate conventional microbiological assays. This review establishes a comprehensive framework for chemical forensics by evaluating the utility of stable isotope analysis (SIA) as a supportive, probabilistic chemical proxy to complement traditional epidemiological investigations of postmortem food contamination sources. Following JBI scoping review guidelines and the PRISMA-ScR reporting framework, data from 42 peer-reviewed articles (2000–2026) were charted and synthesized to map natural isotopic variations (δ¹³C, δ¹⁵N, δ¹⁸O, δ²H and δ³⁴S) across both forensic decedents and environmental reservoirs. The findings outline a structured, multi-tissue diagnostic cascade governed by biological metabolic turnover rates: unabsorbed gastric chyme provides a direct chemical match to contaminated source food items within a hyper-acute 0–6 h window; high-turnover visceral matrices (liver, blood plasma) shift to reflect acute exposure profiles within 1–7 days; and continuously fixed keratinized matrices (hair, nails) archive multi-month dietary and transcontinental transit histories. Furthermore, compound-specific isotope analysis (CSIA) of individual amino acids offers unprecedented structural resolution, utilizing the carbon discrimination metric (Δ¹³C_glu-phe) to differentiate pristine agricultural signatures from endogenous metabolic distortions while biochemically verifying pre-mortem physiological stress and hyper-catabolic muscle wasting. Taphonomic thresholds were explicitly defined, establishing that bulk visceral soft tissues remain isotopically stable (±0.3‰) for up to 48 h at room temperature (~21 °C) before microbially induced nitrogen enrichment (δ¹⁵N > +2.8‰) alters native profiles, whereas hair and nail keratin maintain absolute isotopic stability for over 180 days postmortem. When pristine multi-isotope signatures are coupled with mandatory chloroform–methanol lipid extraction and processed through spatial Bayesian assignment models, geographic provenance tracking via environmental isoscapes achieves a predictive accuracy of 97%. This review introduces a standardized environmental health protocol designed to harmonize field environmental sampling with medical autopsies. This protocol provides a legally robust strategy for investigating unresolved lethal foodborne illness case-outbreaks, particularly those involving pediatric mortalities linked to the consumption of counterfeit or fraudulent food products in low- and middle-income countries. Furthermore, it aims to strengthen national and municipal legal frameworks and international biosecurity enforcement. Full article