Search Results (8,056)

ChatGPT, or Chat Generative Pre-trained Transformer, developed by OpenAI, is a versatile chatbot known for generating human-like text responses. Since its launch in November 2022, it has sparked interest and debate. This bibliometric study aimed to explore ChatGPT-related publications using the Web of Science database from 2023 to June 2024. Original articles in English were retrieved on 24 June 2024, using the topic field “ChatGPT”. Citation records were analyzed using bibliometrix 4.1 and VOSviewer 1.6.20. Between January 2023 and 24 June 2024, 3231 original articles on ChatGPT were published in 1404 journals, with an average citation rate of 5.6 per article. The United States led with 877 articles, followed by China and India. The University of California System, Harvard University, and the State University System of Florida were the most prolific institutions. Keyword co-occurrence network analysis revealed the interdisciplinary nature of ChatGPT research, particularly contributions in healthcare, education, and technology. In conclusion, this bibliometric analysis identified critical areas of ChatGPT research focus, such as applications in educational settings and its ethical implications. These findings are crucial for fostering further advancements that leverage ChatGPT’s capabilities while mitigating its risks. Full article

A new statistical control chart denoted as CHEWMA (Cultural Heritage EWMA) is proposed for microclimate monitoring in preventive conservation. This tool is a real-time detection method inspired by the EN 15757:2010 standard, serving as an alternative to its common adaptations. The proposed control chart is intended to detect short-term fluctuations (STFs) in temperature (T) and relative humidity (RH), which would enable timely interventions to mitigate the risk of mechanical damage to collections. The CHEWMA chart integrates the Exponentially Weighted Moving Average (EWMA) control chart with a weighting mechanism that prioritizes fluctuations occurring near extreme values. The methodology was validated using RH time series recorded by seven dataloggers installed at the Alava Fine Arts Museum, and, from these, seventy simulated time series were generated to enhance the robustness of the analyses. Sensitivity analyses demonstrated that, for the studied dataset, the CHEWMA chart exhibits stronger similarity to the application of EN 15757:2010 than other commonly used real-time STF detection methods in the literature. Furthermore, it provides a flexible option for real-time applications, enabling adaptation to specific conservation needs while remaining aligned with the general framework established by the standard. To the best of our knowledge, this is the first statistical process control chart designed for the field of preventive conservation of cultural heritage. Beyond assessing CHEWMA’s performance, this study reveals that, when adapting the procedures of the European norm by developing a new real-time approach based on a simple moving average (herein termed SMA-FT), a window of approximately 14 days is more appropriate for STF detection than the commonly assumed 30-day period in the literature. Full article

After 70 years of clinical practice with antipsychotics in the treatment of some specific serious mental disorders, much information has been accumulated considering their efficiency as a first-line evidence-based schizophrenia therapy, but also on their adverse effects within the range from minor to life-threatening issues. In this paper, we highlight motor impairment as a frequent limiting factor. Despite the diversity of side effects following antipsychotics usage, many of those who suffer share the same pathophysiological background issues, such as oxidative damage, neuroinflammation, apoptosis, and neurodegeneration (observed in the brain regions involved in motor control). The obvious need to solve these limitations is facing restraints in clinical studies due to the ethical issues. Therefore, it seems reasonable to address the importance of preclinical investigations to overcome the adverse effects of antipsychotics. For that purpose, we analyzed the antipsychotics-induced dyskinesia seen in rodent models, with a special focus on attempts to highlight the benefits of antioxidant supplementation. Our analysis has revealed that antioxidant supplementation, with various antioxidant-rich compounds, confirms the clear neuroprotective effects of the therapy of this iatrogenic dyskinesia. Given their accessibility and safety, it seems that the administration of antioxidant-rich compounds in various forms, as an adjuvant therapy, may be beneficial in patients by lowering the risk of secondary Parkinsonism. Also, it seems that the strategy for further investigations in this field of preclinical studies should be standardized and should include more antipsychotics employed in the clinical practice. Full article

The diagnosis of overflow risk has always been an important area of research in drilling operations in the field of oil and gas engineering. In the face of the limitations and lag of traditional overflow diagnosis methods, the practical application effect of existing models and methods is not obvious, and there is no integration of the physical model and the intelligent algorithm model for overflow diagnosis, this paper proposes a method of adaptive weight fusion of physical model and intelligent algorithm model diagnosis results. Based on the fusion of the physical model and the intelligent algorithm model, an overflow diagnosis model of managed pressure drilling is established. The research results show that the fusion model in this paper can combine the accuracy weight of the physical model and the intelligent algorithm model for the intelligent diagnosis of overflow risk, which improves the mechanization and interpretability of the model and diagnosis results while ensuring accuracy and efficiency. And the intelligent algorithm model used in the fusion model is superior to other algorithm models. The overflow diagnosis accuracy of the fusion model on the test set samples reaches more than 98%, and the accuracy of the validation set is 94.25%. The content of this study provides guidance for drilling overflow diagnosis and model fusion methods. Full article

Ensuring the accurate prediction, prevention, and control of coal bursts in isolated working faces is crucial for ensuring safe mining operations. Coal bursts are typically caused by the accumulation of stress and energy released in coal seams and the overlying strata. This study focuses on the 76 isolated working faces at Shanxi Wuyang Mine, employing a combination of theoretical analysis, numerical simulation, and field monitoring. Through theoretical analysis, the study examines the influence of the spatial structure of the overlying strata on support stress and develops corresponding estimation functions. Additionally, bearing strength calculation formulas under varying confining pressures are derived. Numerical simulations are used to validate the effectiveness of borehole stress relief, while field monitoring further confirms the accuracy of the proposed model, leading to the development of the “overall–local” coal burst prediction method. The results demonstrate that the proposed method effectively assesses coal burst risks and, based on different coal burst types, recommends borehole stress relief and roof deep-hole blasting as primary mitigation strategies. These methods were successfully applied to the 76 isolated working faces at Wuyang Mine, yielding conclusions of overall stability with localized instability. This study provides new insights into coal burst prediction theory and offers practical guidance for preventive engineering in isolated working faces, demonstrating substantial engineering applicability. Full article

Rising uncertainty in the business environment has coincided with a significant increase in unethical behaviors within organizations, posing substantial financial and reputational risks. Unethical conduct is estimated to cost organizations around the world more than USD 4.5 trillion per year, impacting corporate financial stability, investor confidence, and market integrity. Traditional risk assessment and predictive models, which rely on historical data, often fail to account for behavioral responses to uncertainty, creating blind spots in financial risk management and economic forecasting. This paper advances the literature by applying experimental methodologies to investigate the underlying emotional, fear-based mechanisms (namely short-term focus and self-concern) impacting decision-making under uncertainty. By utilizing two distinct types of experimental studies (comprising three studies in total), we empirically examine how uncertainty influences the types of unethical behaviors that are prevalent in today’s organizations. Our findings contribute to the fields of financial risk management and behavioral economics by offering evidence-based insights into the psychological drivers of unethical decision-making. We conclude with managerial implications, outlining proactive strategies to mitigate the financial and operational risks associated with individuals’ responses to uncertainty. Full article

In high-mountain canyon regions, many settlements are located on large, deep-seated ancient landslides. The deformation characteristics, triggering mechanisms, and long-term developmental trends of these landslides significantly impact the safety and stability of these communities. However, the deformation mechanism under the influence of human engineering activities remains unclear. SBAS-InSAR (Small Baseline Subset-Interferometric Synthetic Aperture Radar) technology, UAV LiDAR, and field surveys were utilized in this study to identify a large ancient landslide in the upper Jinsha River Basin: the Zhongxinrong landslide. It extends approximately 1220 m in length, with a vertical displacement of around 552 m. The average thickness of the landslide mass ranges from 15.0 to 35.0 m, and the total volume is estimated to be between 1.48 × 10⁷ m³ and 3.46 × 10⁷ m³. The deformation of the Zhongxinrong landslide is primarily driven by a combination of natural and anthropogenic factors, leading to the formation of two distinct accumulation bodies, each exhibiting unique deformation characteristics. Accumulation Body II-1 is predominantly influenced by rainfall and road operation, resulting in significant deformation in the upper part of the landslide. In contrast, II-2 is mainly affected by rainfall and river erosion at the front edge, causing creeping tensile deformation at the toe. Detailed analysis reveals a marked acceleration in deformation following rainfall events when the cumulative rainfall over a 15-day period exceeds 120 mm. The lag time between peak rainfall and landslide displacement ranges from 2 to 28 days. Furthermore, deformation in the high-elevation accumulation area consistently exhibits a slower lag response compared to the tensile deformation area at lower zones. These findings highlight the importance of both natural and anthropogenic factors in landslide risk assessment and provide valuable insights for landslide prevention strategies, particularly in regions with similar geological and socio-environmental conditions. Full article

Rice cultivated in cadmium (Cd)-polluted acidic paddy soil poses important health risks in China. Mitigating Cd accumulation in rice is of crucial importance for food safety and human health. In this study, using Chuangliangyou 669 as the ratoon rice variety, a field experiment was conducted in paddy fields with severe Cd pollution (Cd concentration > 1.0 mg kg⁻¹). The aim was to explore the impacts of different nitrogen (N) fertilizer levels (N1-180 kg hm⁻², N2-153 kg hm⁻², N3-126 kg hm⁻²) and planting densities (D1-20 cm × 20 cm, D2-16.7 cm × 16.7 cm) in the main crop on the yield and Cd accumulation characteristics of ratoon rice. The results showed that reducing the amount of N fertilizer would lead to a decrease in the yield of ratoon rice, while increasing the planting density could increase the yield, mainly by increasing the effective panicle. Among the various combined treatments, the yields of N1M2 and N2M2 were relatively high. The planting density had no significant impact on the Cd concentration, translocation factor and bioaccumulation factor of ratoon rice. The Cd concentration in various tissues of ratoon rice decreased significantly with the reduction in N fertilizer application. Reducing N fertilizer application could increase the pH, reduce the concentration of available Cd in the soil and consequently reduce the Cd bioaccumulation factor of various tissues of ratoon rice and the Cd translocation factor from roots and stems to brown rice. Considering both the yield and the Cd concentration in brown rice, N2M2 was the optimal treatment of reducing N and increasing density, which could maintain a relatively high yield while significantly reducing the Cd concentration. Full article

In open innovation projects (OIPs), project members from different participating organizations often have dual social identifications, namely, project identification and organizational identification. While such dual identifications may align or conflict in shaping collaborative behaviors, their micro-level psychological mechanisms and performance implications remain underexplored, as prior research predominantly adopts a firm-centric perspective. This study examines how dual social identifications affect OIP performance. The investigation considers mediating role of knowledge collaboration and the moderating role of resource interdependence. Data were collected through a questionnaire survey targeting the OIPs in major high-tech industrial development zones in China. The results show that project identification drives participating organizations to collaborate deeply (e.g., sharing core expertise) and broadly (e.g., involving diverse partners), both of which boost OIP performance. By contrast, organizational identification prioritizes expanding collaboration breadth over deep collaboration, which risks superficial engagement. Too many partners initially help but eventually harm OIP performance, whereas deeper collaboration consistently improves OIP performance. In addition, resource interdependence strengthens the positive effects of project identification on breadth and depth of knowledge collaboration but does little for organizational identification. This study extends social identity theory to the open innovation field and offers novel insights into practices of social psychological reality in OIPs, revealing how dual identifications interact with resource interdependence to shape OIP performance. Additionally, it offers actionable strategies for balancing knowledge collaboration breadth and depth while leveraging resource interdependence in OIP governance. Full article

Functional foods represent an emerging trend in the food industry. Fortifying foods with bioactive ingredients results in health benefits and reduces the risk of disease. Encapsulation techniques protect sensitive ingredients from degradation due to heat, light, moisture and other factors. Among encapsulating materials, milk whey proteins are particularly attractive due to their availability, GRAS status and remarkable ligand-binding ability. Whey protein was once considered a by-product in the dairy industry but is now seen as a promising resource given its natural role as a nutrient carrier. This work reviews the encapsulation systems that employ whey proteins in the food industry. The structural features of β-lactoglobulin (β-LG), the main protein constituent of milk whey, are presented in the context of its ligand-binding properties. Different types of encapsulation systems using whey proteins are discussed, focusing on the recent advances in stable formulations of bioactives using whey protein, alone or in hybrid systems. Whey proteins are a valuable asset capable of binding sensitive bioactive compounds such as vitamins, polyphenols and antioxidants and forming stable complexes that can be formulated as nanoparticles, nanofibrils, emulsions and other micro- and nanostructures. Developing scalable, solid and stable encapsulation systems is identified as a main challenge in the field. Full article

The advent of the New Space Era has significantly accelerated the development of space equipment systems using commercial off-the-shelf components. Field Programmable Gate Arrays are increasingly favored for their ability to be easily modified, which substantially reduces both development time and costs. However, their high susceptibility to space radiation poses a considerable risk of mission failure, potentially compromising system reliability in harsh space environments. To mitigate this vulnerability, the implementation of fault-tolerant mechanisms is essential. In this study, we applied eight distinct fault-tolerant mechanisms to various circuits and conducted a comparative analysis between two different categories: hardware redundancy and informational redundancy. This comparison was based on consistent criteria, specifically the Architectural Vulnerability Factor and resource consumption. Utilizing statistical fault injection tests and specialized software, we quantitatively measured structural vulnerability, power consumption, delay, and area. The results revealed that while the Hamming Code achieved the lowest structural vulnerability, it resulted in approximately fourfold increases in resource consumption. Conversely, Triple Modular Redundancy provided high reliability with relatively minimal resource usage. This research elucidates the trade-offs between reliability and resource overhead among different fault-tolerant mechanisms, highlighting the critical importance of selecting appropriate mechanisms based on system requirements to optimize the balance between reliability and resource utilization. Our analysis offers new insights essential for optimizing fault-tolerant mechanisms in space applications. Future work should explore more complex circuit architectures and diverse fault models to refine the selection criteria for fault-tolerant mechanisms tailored to real-world space missions. Full article

The frequent occurrence of floods puts additional pressure on people to change their activities and alter land use practices, consequently making exposed lands more vulnerable to floods. It is thus crucial to investigate dynamic changes in flood exposures and conduct quantitative evaluations of flood risk-reduction strategies to minimize damage to exposed items. This study quantitatively assessed dynamics of flood exposure and flood risk, and evaluated the effectiveness of flood control measures in the Bengawan Solo River basin, Indonesia. The Water and Energy Budget-Based Rainfall–Runoff–Inundation Model was employed for flood simulation for different return periods, and then dynamics of flood exposures and flood risk were assessed. After that, the effectiveness of flood control measures was quantitively evaluated. The results show that settlement/built-up areas and population are increasing in flood-prone areas. The flood-exposed paddy field and settlement areas for 100-year flood were estimated to be more than 950 and 212.58 km², respectively. The results also show that the dam operation for flood control in the study area reduces the flood damage to buildings, contents, and agriculture by approximately 21.2%, 20.9%, and 25.1%, respectively. The river channel improvements were also found effective to reduce flood damage in the study area. The flood damage can be reduced by more than 60% by implementing a combination of a flood control dam and river channel improvements. The findings can be useful for planning and implementing effective flood risk reduction measures. Full article

Natural functional plant oils (FPOs) have been widely exploited due to their abundant biological activities. However, when exposed to oxygen, light, moisture, and heat, some limitations such as oxidative deterioration, impaired flavor, loss of nutritional value and volatile compounds, and decreased shelf life hinder the widespread application of FPOs in the food industry. Notably, the microencapsulation technique is one of the advanced technologies, which has been used to maintain the biological and physicochemical properties of FPOs. The present review provided a comprehensive overview of the nutrient compositions and functionality of FPOs, preparation techniques for microcapsules, and applications of microencapsulated FPOs (MFPOs) in the food industry. FPOs obtained from a wide range of sources were abundant in bioactive compounds and possessed disease risk mitigation and improved human health properties. The preparation methods of microencapsulation technology included physical, chemical, and physicochemical methods, which had the ability to enhance oxidative stability, functional, shelf life, and thermostability properties of FPOs. In this context, MFPOs had been applied as a fortification in sausage, meat, bakery, and flour products. Overall, this work will provide information for academic fields and industries the further exploration of food and nutriment products. Full article

Emerald ash borer (EAB, Agrilus planipennis Fairmaire) is an Asian woodborer that is a destructive pest of ash (Fraxinus spp.) trees throughout North America and in parts of Asia and Europe. It has killed hundreds of millions of ash trees worldwide in the past two decades and has shown some ability to infest novel hosts, most notably white fringetree (Chionanthus virginicus L.). Here, I review the evidence that this beetle can succeed on cultivated olive (Olea europaea L), a close relative of white fringetree. Studies and observations thus far indicate that, while young trees are largely resistant to EAB larval development, adults will oviposit on olive trees, can feed on their foliage and produce viable eggs, and that larger, older and possibly stressed trees have the potential to support larval development to the adult stage in the field. Emerald ash borer will soon interact with cultivated olive trees in the wild in parts of the U.S. and in Europe, and the realized risk to olives by this beetle will be revealed. Full article

Global warming alters freeze–thaw process frequency and intensity, impacting soil carbon cycles. Four soils from a 12-year straw return experiment were used: S0 (no straw), S1 (low rate of addition), S2 (medium rate), and S3 (high rate). Ten treatments with or without temporary straw addition at different rates were conducted to explore their effects on soil microbial biomass carbon (MBC) and dissolved organic carbon (DOC) under laboratory and field freeze–thaw conditions. Compared to constant temperature, the freeze–thaw process under laboratory conditions reduced MBC (5.79%~29.9%), whereas this trend was mitigated or reversed under field conditions. The alleviating effect of straw addition on the decrease in MBC was greater in S0 than in S1, S2, and S3 by an average of 31.7%. Medium rate straw application (S2 8 t/ha) provided appropriate labile C levels, enhancing microbial activity while keeping DOC low and reducing C loss risk. The results revealed discrepancies in freeze–thaw effects on soil labile OC between laboratory and field conditions, the mitigation of freeze–thaw impacts on MBC by straw addition, and the appropriate straw return rate in Liaohe Plain. Therefore, proper nutrient management can maintain and regulate microbial activity and soil labile C in areas with freeze–thaw cycles. Full article