bluuebunny/crossref_metadata_2025 huggingface dataset:
Real-Time Control of Thermal Synchronous Generators for Cyber-Physical Security: Addressing Oscillations with ANFIS
Authors: Khamees Ahmed , Altınkaya Hüseyin
Published: October 2024

This paper introduces a novel real-time ANFIS controller, specifically designed for thermal synchronous generators, to mitigate the risks associated with cyber-physical attacks on power systems. The controller integrates the dynamic model of the turbine’s thermomechanical components, such as the boiler and heat transfer processes, within the synchronous generator. In contrast to previous studies, this model is designed for practical implementation and addresses often-overlooked areas, including the interaction between electrical and thermomechanical components, real-time control responses to cyber-physical attacks, and the incorporation of economic considerations alongside technical performance. This study takes a comprehensive approach to filling these gaps. Under normal conditions, the proposed controller significantly improves the management of industrial turbines and governors, optimizing existing control systems with a particular focus on minimizing generation costs. However, its primary innovation is its ability to respond dynamically to local and inter-area power oscillations triggered by cyber-physical attacks. In such events, the controller efficiently manages the turbines and governors of synchronous generators, ensuring the stability and reliability of power systems. This approach introduces a cutting-edge thermo-electrical control strategy that integrates both electrical and thermomechanical dynamics of thermal synchronous generators. The novelty lies in its real-time control capability to counteract the effects of cyber-physical attacks, as well as its simultaneous consideration of economic optimization and technical performance for power system stability. Unlike traditional methods, this work offers an adaptive control system using ANFIS (Adaptive NeuroFuzzy Inference System), ensuring robust performance under dynamic conditions, including interarea oscillations and voltage deviations. To validate its effectiveness, the controller undergoes extensive simulation testing in MATLAB/Simulink, with performance comparisons against previous state-of-the-art methods. Benchmarking is also conducted using IEEE standard test systems, including the IEEE 9-bus and IEEE 39-bus networks, to highlight its superiority in protecting power systems.
Block Freeze Concentration Processes for Goat Milk Aiming at the Elaboration of an Innovative Functional Fermented Milk
Authors: Canella Maria Helena Machado , Prestes Amanda Alves , Esmerino Erick Almeida , Hernández Eduard , Cruz Adriano Gomes da , Pimentel Tatiana Colombo , Prudencio Elane Schwinden
Published: October 2024

The development of functional dairy products has increasingly become a focus of the dairy industry, with goat milk gaining prominence due to its nutritional properties and digestibility. This study aimed to evaluate the effects of freeze concentration processes on skimmed goat milk, observing its potential prebiotic effects and impacts on the physical, chemical, microbiological, rheological, and sensory profiles of fermented milk, using the Preferred Attributes Elicitation (PAE) methodology. Skimmed goat milk was initially concentrated using the gravitational block freeze concentration technique. A fermented milk containing probiotics (FM1) was produced from this concentrate. In addition, two other samples were developed: one with skimmed goat’s milk, 6% inulin, and probiotics (FM2) and another using whole goat’s milk with probiotics as a control (FM3). The results indicated that the freezing concentration process resulted in a concentrate with 14.70 ± 0.06 g 100 g−1 of total solids. Among the three types of fermented milk, FM1 presented the highest values of total solids and titratable acidity. Regarding color, both FM1 and FM2 tended towards yellowish and greenish tones, while FM3 presented a greater luminosity. During storage, all fermented milks maintained their probiotic properties. The freeze concentration process increased the viscosity of FM1, a characteristic also evidenced in the sensory evaluations using PAE. In contrast, FM2 presented a rheological behavior similar to that of the control (FM3). Regarding sensory acceptance, FM1 had lower acceptance regarding aroma, being described as having notes of “goat flavor” and “acid” and being “salty”. The PAE methodology proved effective in characterizing the sensory qualities of the products, providing valuable information for developing new dairy products. These results offer an important theoretical basis for the industrial production of functional dairy products based on goat’s milk, helping to evaluate quality characteristics and optimize manufacturing processes.
Valorization of Residual Fractions from Defatted Rice Bran Protein Extraction: A Carbohydrate-Rich Source for Bioprocess Applications
Authors: Vieira Valquiria Silva , Peron-Schlosser Bianca , Conde Maria Beatriz Martins , Canan Cristiane , Colla Luciane Maria , Colla Eliane
Published: October 2024

Defatted rice bran (DRB) is the by-product of rice bran oil extraction and presents approximately 66% carbohydrates and 15% proteins, a composition with the potential to integrate biorefinery systems. This study aimed to investigate the feasibility of residual fractions from ultrasound-assisted protein extraction from DRB as sources of carbohydrates in bioprocesses. First, DRB was exposed to protein extraction in an alkaline medium assisted by ultrasound. The residual fractions, including the precipitate from the extraction process (P1) and the supernatant from protein precipitation (S2), were combined and autoclaved to gelatinize the starch. Enzyme activity tests showed that a temperature of 70 °C was optimal for the simultaneous application of α-amylase and amyloglucosidase (AMG). To study enzymatic hydrolysis, a Full Factorial Design (FFD) 22 was employed, with α-amylase and AMG concentrations ranging from 0.12 to 0.18 mL∙L−1 and a substrate concentration (P1/S2 ratio) between 30 and 70 g∙L−1, resulting in a maximum of 18 g∙L−1 of reducing sugars (RS). Fermentation assays with Saccharomyces cerevisiae demonstrated that the hydrolysate of the residual fractions was effective for ethanol production (8.84 g∙L−1 of ethanol; YP/S: 0.614 gethanol∙gRS−1; η: 120.24%), achieving results comparable to control media (with sucrose as the substrate), indicating its potential for application in bioprocesses. These outcomes highlight a promising technological approach for utilizing DRB in integrated biorefineries.
Sustainability and Environmental Performance in Selective Collection of Residual Materials: Impact of Modulating Citizen Participation Through Policy and Incentive Implementation
Authors: Fontaine Laurie , Legros Robert , Frayret Jean-Marc
Published: October 2024

The effective management of urban waste represents a growing challenge in the face of demographic evolution and increased consumption. This study explores the impacts of municipal strategic decisions on household waste management behaviours and sustainability performance outcomes through agent-based modelling. Using data from Gatineau and Beaconsfield in Quebec, Canada, the model is calibrated and validated to represent diverse urban contexts. Our analysis demonstrates that reducing collection frequency leads to notable increases in participation rates, reaching 78.2 ± 5.1% for collections every two weeks and 96.5 ± 8.3% for collections every five weeks. While this reduction improves bin filling levels, it concurrently decreases the recovery of recyclable materials by 2.8% and 19.5%, significantly undermining the environmental benefits of the recycling program. These findings highlight a complex interplay between collection frequency, citizen participation behaviour, waste stream characteristics, and overall environmental performance. While reducing collection frequency initially appears beneficial, it leads to operational challenges and increased CO2 emissions due to reduced material recovery. The research emphasises the need for tailored holistic waste management strategies that optimise performance outcomes while minimising environmental impacts. By understanding these dynamics, municipalities can develop more effective waste management policies that promote sustainability.
Broadband Waveguide Chip Design with Phase Measurement Function for Enhancing Optical Interferometric Imaging
Authors: Li Yan , Yu Qinghua , Zhang Chuang , He Yan , Sun Shengli
Published: October 2024

The waveguide chip with a phase measurement function has garnered significant attention in the field of imaging optics, emerging as a crucial component in optical interferometric imaging systems. Enhancing the working bandwidth of these waveguide chips is essential for improving the imaging quality of interferometric systems. However, most existing designs primarily focus on narrow bands, with no reported research on broadband designs. This paper introduces a novel broadband waveguide chip design that incorporates a phase measurement function. We explore the fundamental structure and working principle of this innovative design. Fabricated on a silicon substrate, the chip features a silicon dioxide cladding layer and a germanium-doped silicon dioxide core layer, strategically optimized for performance. Utilizing the Beam Propagation Method (BPM), we conduct detailed simulations to determine the optimal device parameters. The simulation results demonstrate the effectiveness of our design, showing a phase measurement deviation of approximately 5° at a center wavelength of 1550 nm across a 300 nm wavelength range. The loss of the device is approximately 0.8 dB. These findings provide a solid foundation for future experimental implementations and fabrications, offering both a theoretical framework and technical reference for advancing the practical use of broadband waveguide chips with phase measurement functions in optical interferometric imaging.
Characteristics and Source Analysis of Ozone Pollution in Tianjin from 2013 to 2022
Authors: Dong Shuo , Ma Pengfei , Yang Xingchuan , Luo Nana , Chen Linhan , Wang Lili , Song Hanyang , Zhao Shaohua , Zhao Wenji
Published: October 2024

This study has analyzed ozone pollution in Tianjin from 2013 to 2022, focusing on the relationships between ozone distribution, meteorological conditions, and precursor substances. A method for identifying high-value areas of ozone precursors using the Ozone Sensitivity Factor (FNR) has been introduced. Results show that the average ozone concentration in Tianjin has been 100.608 µg/m3, with an annual growth rate of 2.84 µg·m⁻3·yr⁻¹. Tianjin has ranked among the top provinces and urban agglomerations in China for both ozone concentration and growth rate. Ozone levels have peaked in summer, followed by spring, autumn, and winter, while the growth rate has been highest in spring. This indicates that ozone pollution extends from summer into spring and autumn. An analysis of six ozone pollution events reveals significant regional transmission impacts from northern Hebei and Inner Mongolia, contributing over 30%, with additional significant contributions from southern and southwestern Hebei and western Shandong. In terms of controlling ozone precursors, high-HCHO-value areas have been identified. The correlation between areas of high HCHO values and ground-level ozone concentrations was 0.56339 during the ozone season and 0.2214 during the non-ozone season, both of which improved identification accuracy to varying degrees, suggesting that targeting precursor emissions in these areas could enhance pollution mitigation efforts.
An Exploratory Study of a Choreographic Approach to Golf Swing Dynamics: Bridging Biomechanics and Laban Movement Analysis
Authors: Kim Wangdo , Vette Albert H. , Ottes Wanda , Wahl Colleen
Published: October 2024

This study introduces an innovative integration of Laban Movement Analysis (LMA) with biomechanical principles to examine the golf swing dynamics from an ecological perspective. Traditionally, LMA focuses on the qualitative aspects of movement, often isolated from external influences. This research bridges that gap by investigating how golfers manage and adapt to the inertial forces of the club throughout the swing. Using motion tracking sensors and screw theory, we analyzed the spatial movement pattern in the Kinesphere (mapped as an icosahedron) and related it to force dynamics in the Effort Cube through the inertia tensor. The results showed significant differences between skilled and novice golfers in terms of how efficiently they align their movements with the club’s inertia. Skilled golfers demonstrated smoother Instantaneous Screw Axes (ISAs) and better synchronization with inertia forces, while novice golfers exhibited more abrupt deviations. These findings suggest that integrating qualitative movement descriptors with biomechanical models provides deeper insights into swing efficiency, performance improvement, and injury prevention. This combined framework offers a novel method to enhance both qualitative and quantitative analysis of golf swings.
Comparison of Subdural and Intracortical Recordings of Somatosensory Evoked Responses
Authors: Rettore Andreis Felipe , Meijs Suzan , Nielsen Thomas Gomes Nørgaard dos Santos , Janjua Taha Al Muhamadee , Jensen Winnie
Published: October 2024

Micro-electrocorticography (µECoG) electrodes have emerged to balance the trade-off between invasiveness and signal quality in brain recordings. However, its large-scale applicability is still hindered by a lack of comparative studies assessing the relationship between ECoG and traditional recording methods such as penetrating electrodes. This study aimed to compare somatosensory evoked potentials (SEPs) through the lenses of a µECoG and an intracortical microelectrode array (MEA). The electrodes were implanted in the pig’s primary somatosensory cortex, while SEPs were generated by applying electrical stimulation to the ulnar nerve. The SEP amplitude, signal-to-noise ratio (SNR), power spectral density (PSD), and correlation structure were analysed. Overall, SEPs resulting from MEA recordings had higher amplitudes and contained significantly more spectral power, especially at higher frequencies. However, the SNRs were similar between the interfaces. These results demonstrate the feasibility of using µECoG to decode SEPs with wide-range applications in physiology monitoring and brain–computer interfaces.
Onsite Seismic Monitoring Behavior of Undamaged Dams During the 2023 Kahramanmaraş Earthquakes (M7.7 and M7.6)
Authors: Bayraktar Alemdar , Akköse Mehmet , Ventura Carlos E. , Yang Tony Y. , Hökelekli Emin
Published: October 2024

On 6 February 2023, two major earthquakes struck Türkiye, with their epicenters in the Pazarcık (M7.7; focal depth: 8.6 km) and Elbistan (M7.6; focal depth: 7 km) districts of Kahramanmaraş city. Most of the dams in the earthquake region remained structurally safe and stable. However, 17 dams in Türkiye and 1 dam in Syria were damaged during the 2023 Kahramanmaraş earthquakes. The main objective of this study was to better understand the real seismic behaviors of the dams during the two mainshocks and significant aftershocks. An earthfill dam, a concrete-faced rockfill dam (CFRD), and a roller-compacted concrete (RCC) dam constructed in the disaster area were selected to identify the real seismic behaviors of different types of dams during strong earthquakes. Acceleration records measured at the crest, right and left abutments, and foundations of the selected dams during the 2023 Kahramanmaraş earthquakes were taken into account to determine the real seismic behavior of the dams before, during, and after the earthquakes. The results of this investigation provide valuable insights into the real seismic behaviors of different types of dams in the vicinity of fault lines during strong earthquakes.
Study of Five-Hundred-Meter Aperture Spherical Telescope Feed Cabin Time-Series Prediction Studies Based on Long Short-Term Memory–Self-Attention
Authors: Peng Shuai , Li Minghui , Song Benning , Yu Dongjun , Luo Yabo , Yang Qingliang , Feng Yu , Yu Kaibin , Li Jiaxue
Published: October 2024

The Five-hundred-meter Aperture Spherical Telescope (FAST), as the world’s most sensitive single-dish radio telescope, necessitates highly accurate positioning of its feed cabin to utilize its full observational potential. Traditional positioning methods that rely on GNSS and IMU, integrated with TS devices, but the GNSS and TS devices are vulnerable to other signal and environmental disruptions, which can significantly diminish position accuracy and even cause observation to stop. To address these challenges, this study introduces a novel time-series prediction model that integrates Long Short-Term Memory (LSTM) networks with a Self-Attention mechanism. This model can hold the precision of feed cabin positioning when the measure devices fail. Experimental results show that our LSTM-Self-Attention model achieves a Mean Absolute Error (MAE) of less than 10 mm and a Root Mean Square Error (RMSE) of approximately 12 mm, with the errors across different axes following a near-normal distribution. This performance meets the FAST measurement precision requirement of 15 mm, a standard derived from engineering practices where measurement accuracy is set at one-third of the control accuracy, which is around 48 mm (according to the accuracy form the official threshold analysis on the focus cabin of FAST). This result not only compensates for the shortcomings of traditional methods in consistently solving feed cabin positioning, but also demonstrates the model’s ability to handle complex time-series data under specific conditions, such as sensor failures, thus providing a reliable tool for the stable operation of highly sensitive astronomical observations.
A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data
Authors: Xiao Xinhui , Wang Zepeng , Zhang Haiping , Luo Yuan , Chen Fanghuai , Deng Yang , Lu Naiwei , Chen Ying
Published: October 2024

The deflection control of the main girder in suspension bridges, as flexible structures, is critically important during their operation. To predict the vertical deflection of existing suspension bridge girders under the combined effects of stochastic traffic loads and environmental temperature, this paper proposes an integrated deflection interval prediction method based on a Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), a probability density estimation layer, and bridge monitoring data. A time-series training dataset consisting of environmental temperature, vehicle load, and deflection monitoring data was built based on bridge health monitoring data. The CNN-LSTM combined layer is used to capture both local features and long-term dependencies in the time series. A Gaussian distribution (GD) is adopted as the probability density function, and its parameters are estimated using the maximum likelihood method, which outputs the optimal deflection prediction and probability intervals. Furthermore, this paper proposes a method for identifying abnormal deflections of the main girder in existing suspension bridges and establishes warning thresholds. This study indicates that, for short time scales, the CNN-LSTM-GD model achieves a 47.22% improvement in Root Mean Squared Error (RMSE) and a 12.37% increase in the coefficient of determination (R2) compared to the LSTM model. When compared to the CNN-LSTM model, it shows an improvement of 28.30% in RMSE and 6.55% in R2. For long time scales, the CNN-LSTM-GD model shows a 54.40% improvement in RMSE and a 10.22% increase in R2 compared to the LSTM model. Compared to the CNN-LSTM model, it improves RMSE by 38.43% and R2 by 5.31%. This model is instrumental in more accurately identifying abnormal deflections and determining deflection thresholds, making it applicable to bridge deflection early-warning systems.
Comparative Characteristics of Immunochromatographic Test Systems for Tylosin Antibiotic in Meat Products
Authors: Barshevskaya Lyubov V. , Sotnikov Dmitriy V. , Zvereva Elena A. , Dzantiev Boris B. , Zherdev Anatoly V.
Published: October 2024

Tylosin (TYL) is a macrolide antibiotic widely used in animal husbandry. Due to associated health risks, there is a demand for sensitive methods for mass screening of TYL in products of animal origin. This article describes the development of lateral flow immunoassays (LFIAs) for TYL detection using direct (anti-TYL antibodies conjugated with nanoparticles) and indirect antibody labeling (anti-species antibodies conjugated with nanoparticles and combined with native anti-TYL antibodies). The choice of LFIA conditions, such as concentrations of hapten–protein conjugates, specific antibodies, and gold nanoparticle (GNP) conjugates with antibodies, as well as incubation time of reagents and the concentration of detergent in the sample buffer, is presented. The achieved limits of TYL detection using LFIAs with indirect labeling were 0.8 ng/mL (visual) and 0.07 ng/mL (instrumental), compared to 4 ng/mL (visual) and 0.4 ng/mL (instrumental) for the case of direct labeling. The sensitivity of the LFIA using the indirect format was up to seven times higher, allowing the determination of the target analyte at low concentrations. TYL detection in ground meat using LFIA with indirect antibody labeling ranged from 76–119%.
Applying the Theory of Planned Behavior to Understand Ecotourism Behavior: The Role of Human–Land Coordination and Self-Mastery
Authors: Fu Yixuan , Zhao Jun
Published: October 2024

Ecotourism, which promotes environmental conservation and brings social and economic benefits through conscious and harmonious interactions between humans and nature, has become a principal tool for achieving these objectives. Sustainable tourism can only be supported with tourists realizing the elements of attraction toward ecotourism. This study analyzes the roots of ecotourism behavior using the Theory of Planned Behavior (TPB), specifically determining the roles of ecotourism tendency, attitude, human–land coordination stress, and sense of self-control in influencing tourists’ intention and behavior toward ecotourism. This study used a cross-sectional design, requiring 847 participants to complete a standardized questionnaire assessing their behavior toward ecotourism, attitudes, and perceptions. Reliability testing, descriptive statistics, regression analysis, and factor analysis were used to analyze the datasets to discover major factors relating to ecotourism intention behavior. A consequent outcome is that ecotourism attitude and self-determination are the significant drivers of ecotourism desire, while behavioral norms only impact ecotourism attitude and selflessness. The study concluded that the subjective perception of tourists and their behavior control ability are the ones that affect their ecotourism behavior more than other factors. The findings suggest that enhancing tourists’ ecotourism attitude, sense of self-control, and awareness of human–place coordination can significantly promote ecotourism behaviors. These results highlight the importance of comprehensive regional ecotourism analysis, robust environmental education, and promoting normative behaviors to foster sustainable tourism practices. To validate these findings, further research should focus on longitudinal studies and clinical trials to standardize integrated ecotourism strategies and explore the underlying mechanisms influencing ecotourism behavior.
Considering Carbon–Hydrogen Coupled Integrated Energy Systems: A Pathway to Sustainable Energy Transition in China Under Uncertainty
Authors: Lu Anjie , Zhou Jianguo , Qin Minglei , Liu Danchen
Published: October 2024

The low-carbon construction of integrated energy systems is a crucial path to achieving dual carbon goals, with the power-generation side having the greatest potential for emissions reduction and the most direct means of reduction, which is a current research focus. However, existing studies lack the precise modeling of carbon capture devices and the cascaded utilization of hydrogen energy. Therefore, this paper establishes a carbon capture power plant model based on a comprehensive, flexible operational mode and a coupled model of a two-stage P2G (Power-to-Gas) device, exploring the “energy time-shift” characteristics of the coupled system. IGDT (Information Gap Decision Theory) is used to discuss the impact of uncertainties on the power generation side system. The results show that by promoting the consumption of clean energy and utilizing the high energy efficiency of hydrogen while reducing reliance on fossil fuels, the proposed system not only meets current energy demands but also achieves a more efficient emission reduction, laying a solid foundation for a sustainable future. By considering the impact of uncertainties, the system ensures resilience and adaptability under fluctuating renewable energy supply conditions, making a significant contribution to the field of sustainable energy transition.
Industrial Symbiosis and Circular Economy Practices Towards Sustainability in Forest-Based Clusters: Case Studies in Southern Brazil
Authors: Simioni Flávio José , Soares Juliana Ferreira , Rosário Jeane de Almeida do , Sell Luiza Garcia , Bertol Eduardo , Souza Fabio Murilo Padilha , Santos Júnior Edvaldo Pereira , Coelho Junior Luiz Moreira
Published: October 2024

This study aimed to investigate how Industrial Symbiosis (IS) built around thermoelectric power plants (TPPs) located in forest-based clusters in the southern plateau region of the state of Santa Catarina, Brazil, can stimulate the adoption of circular economy (CE) practices. Data were collected to identify the presence of forest-based clusters and the purchase and sale of logs, processed wood, and forest residues from companies within the clusters, and to investigate CE practices using the ReSOLVE framework adopted in two TPPs, which used residues and black liquor as fuel. The results indicate that the nature of the forest-based activities enhances the formation of clusters, especially when TPPs use forest residues for energy production with IS intensified in this process. Brazil has 140 TTPs that use forest biomass with the capacity to generate 5.5 million wK. Three clusters were identified in the study region with purchase and sale, respectively, of logs (78.6 and 100%), processed wood (75 and 66.7%), and wood residues (45.5 and 83.3%) within the region. The case studies indicated the strong occurrence of CE practices in the cases analyzed that contribute to four of the Sustainable Development Goals (SDG) proposed by the United Nations (7, 8, 9, and 12).
Recycling Fly Ash into Lightweight Aggregate: Life Cycle Assessment and Economic Evaluation of Waste Disposal
Authors: Eom Ji Young , Yang Seong Jun , Lee Myung Jin , Yang Yu Ra , Wie Young Min , Lee Ki Gang , Lee Kang Hoon
Published: October 2024

This study analyzed environmental impacts and economic feasibility to evaluate whether recycling fly ash, which has rarely been addressed in previous studies, as a raw material for lightweight aggregates can be a sustainable waste management alternative. This study presents a comparative analysis of three disposal scenarios: landfill disposal, recycling as cement raw material, and recycling as lightweight aggregate raw material. Nine environmental impacts were assessed through life cycle assessment (LCA): acidification, global warming, eutrophication, photochemical oxidation, stratospheric ozone depletion, human toxicity, freshwater aquatic ecotoxicity, marine aquatic ecotoxicity, and terrestrial ecotoxicity. The results showed that the landfill disposal scenario posed the greatest threat to global warming, eutrophication, and marine aquatic ecotoxicity, while the cement scenario had the greatest impact on stratospheric ozone depletion, human toxicity, and other ecotoxicity items while recycling as lightweight aggregate showed the lowest environmental impacts in most items except acidification and photochemical oxidation. Life cycle costing (LCC) analysis was also performed to compare the economic aspects of each scenario. The lightweight aggregate scenario is more energy-intensive and costly, but it has significant economic benefits due to the significant revenues from the products produced. Therefore, even though the cost is high, this scenario is considered economically advantageous. This study highlights that recycling fly ash into lightweight aggregate reduces environmental impacts, provides economic benefits, and is a better alternative to landfilling and recycling cement raw materials. It will also contribute to promoting sustainable practices of fly ash recycling.
Numerical Simulation Investigation of Wind Field Characteristics and Acceleration Effects over V-Shaped Hills
Authors: Yao Jianfeng , Tu Zhibin , Xu Haiwei
Published: October 2024

Wind energy resources play an important role in sustainable development, and the accelerating effect of wind has been found in V-shaped hills, which informs the siting of wind turbines in this type of terrain. The wind field around the V-shaped hill was simulated using the CFD method. The impact of wind angle, hill pinch angle, and the distance between the hills on the wind field around the V-shaped hill was investigated. Wind acceleration effects at specific locations were studied and analyzed, and these findings were compared with established codes. It was observed that the wind speed at the hill’s top under each wind angle is significantly higher compared to other areas. Additionally, the acceleration ratio at the top generally exhibits a decreasing trend with increasing height. If the wind angle is 15° and the pinch angle is greater than or equal to 15°, or if the distance between the hills is less than or equal to 50 m, the wake zone will gradually transition from two to one. The distance between the hills minimally affects the acceleration ratio at the mid-height and top of the hill. Several codes exhibit inconsistency in specifying acceleration effects in hilly terrain. The findings in this paper align most closely with the American code at the base of the hill. At the hill’s top, the American code is the lowest above 100 m, while the Chinese code is the highest below 100 m. The findings in this paper fall between those of the Japanese and Australian codes. The formulas for the variation in wind speed acceleration ratio at typical locations with respect to height and the angle between the hills are provided.
Hazard Identification and Risk Assessment During Simultaneous Operations in Industrial Plant Maintenance Based on Job Safety Analysis
Authors: Kwon Sung-Jin , Choi So-Won , Lee Eul-Bum
Published: October 2024

The risk of accidents during simultaneous operations (SIMOPS) in plant maintenance has been increasing. However, research on methods to prevent such accidents has been limited. This study aims to develop a novel framework, hazard identification and risk assessment of simultaneous operations (HIRAS), for identifying and evaluating potential hazards during concurrent tasks. The framework developed herein is expected to be an effective safety management tool that can help prevent accidents during these operations. To this end, the job location and hazard information in job safety analysis (JSA) were standardized into four attributes. The standardized information was then synchronized spatially and temporally to develop a HIRAS model that identifies and assesses the impact of hazards between operations. The model was tested using 40 JSA documents corresponding to maintenance operations at Company P, a South Korean steel-making company. The model was tested in two scenarios: one with planned operations and the other with unplanned operations in addition to planned operations. The performance evaluation results of the first scenario showed an F1-score of 98.33%. In this case, a recall of 97.52% means that the model identified 97.52% of the hazard-inducing factors. The second scenario was compared with the results of a review by six subject matter experts (SMEs). The comparison of the results identified by the SMEs and the model showed an accuracy of 89.3%. This study demonstrates the potential of JSA, which incorporates the domain knowledge of workers and can be used not only for individual tasks but also as a safety management tool for surrounding operations. Furthermore, by improving the plant maintenance work environment, it is expected to prevent accidents, protect workers’ lives and health, and contribute to the long-term sustainable management of companies.
Association Between Socio-Demographic Characteristics and Household Food Waste Behaviors Among University Students in Italy: The UniFoodWaste Study
Authors: Stacchini Lorenzo , Nucci Daniele , Romano Nicoletta , Villa Maria , Passeri Chiara , Ferranti Roberta , Gianfredi Vincenza
Published: October 2024

Food waste is a growing environmental, economic, and social challenge worldwide. This study aimed to assess the association between various socio-demographic characteristics and household food waste behaviors among university students in Italy. A cross-sectional study was conducted using a validated, online, anonymous, and voluntary-based questionnaire distributed among university students in Milan, Italy. Linear regression analyses were performed to explore the association between socio-demographic factors and anti-household food waste behaviors (preventive practice, abilities scores, and parental guidance). A total of 2779 students participated in the survey. Students residing outside Lombardy exhibited higher preventive practice scores (β = 0.11, p = 0.030). Regular smoking was negatively associated with preventive practice (β = −0.22, p < 0.001) and abilities scores (β = −0.11, p = 0.009). Cohabitation with a partner positively impacted abilities scores (β = 0.23, p = 0.007). Larger family sizes and students in scientific fields showed higher scores for parents’ guidance (β = 0.18, p < 0.001). Frequent use of food delivery apps correlated with lower scores across all categories, while anti-food waste apps had a positive effect. Socio-demographic factors significantly influence food waste behaviors among university students. Tailored public health policies and educational programs addressing these factors could effectively reduce food waste.
How Financial Development Heterogeneity, Macroeconomic Volatility, Domestic Investment, and Digital Economy Are Driving Sustainable Economic Growth in Africa
Authors: Ibrahim Ridwan Lanre , Alomair Abdulrahman , Al Naim Abdulaziz S.
Published: October 2024

The roles of finance are well stipulated in the various indicators of the sustainable development goals (SDGS). However, the extant literature still finds conflicting outcomes of the finance-led growth. Hence, this study redirects empirical evidence by unbundling the effects of financial development on sustainable economic growth into aggregated and disaggregated, focusing on seven robust indicators (financial development index, financial institution index, depth, and access, and financial market index, depth, and access) in selected African countries from 1995 to 2021. Similarly, the intervening roles of government expenditure, digital economy, domestic investment, human capital, macroeconomic volatility, and trade openness are evaluated based on advanced estimators. Findings show that the seven indices of financial development drive sustainable economic growth in Africa both in the long and short runs. Similarly, government expenditure, digital economy, and human capital promote sustainable economic growth both in the short- and long-term periods. The driving effects of domestic investment are only noticeable in the long run. Conversely, trade openness and macroeconomic instability are noted to be growth-deterring. Policy insights that support sustainable economic growth in Africa emanate from the outcomes.
Pedestrian Accessibility Analysis of Sidewalk-Specific Networks: Insights from Three Latin American Central Squares
Authors: Stefanidis Roussetos-Marios , Bartzokas-Tsiompras Alexandros
Published: October 2024

Limited research from the Global South has examined pedestrian accessibility to key destinations, particularly while considering efficient and practical sidewalk-specific conditions. This study employs a case-based approach, scrutinising walking access to three central squares, Mexico City’s Zocalo, Lima’s Plaza San Martin, and Buenos Aires’ Plaza de la República, within a 10-min walking radius. Geographic Information Systems (GIS) and Google Street View (GSV) were leveraged to conduct a virtual street audit, assessing six microscale features influencing the walking experience (kerb ramps, pavement continuity, sidewalk width, well-maintained sidewalks, active uses, and green spaces). These data facilitated the construction of a genuine pedestrian network and allowed the assessment of three-tiered pedestrian accessibility models that comprised easy access, comfortable routes, and vibrant walks. The findings reveal significant spatial inequities in pedestrian access. About 10% of buildings near Mexico City’s and Lima’s central squares lack pedestrian accessibility due to inadequate and interrupted sidewalk and crosswalk infrastructure, disproportionately impacting those with mobility limitations. Conversely, Buenos Aires exhibits better pedestrian facilities, with accessible, comfortable, and lively routes reaching approximately 20% of buildings surrounding the Plaza de la República. These results underscore the significant disparities in street infrastructure and networks within these historic neighbourhoods, emphasising the imperative for more inclusive, pedestrian-friendly urban planning in Latin American cities.
Polyhexamethylene Guanidine Phosphate Induces Restrictive Ventilation Defect and Alters Lung Resistance and Compliance in Mice
Authors: Park Yoon Hee , Jeong Sang-Hoon , Lee Hong , Nam Yoon-Jeong , Lee Hyejin , Lee Yu-Seon , Choi Jin-Young , Park Su-A , Choi Mi-Jin , Park Hayan , Kim Jaeyoung , Kim Eun-Yeob , Baek Yong-Wook , Lim Jungyun , Kim Sua , Kim Je-Hyeong , Lee Ju-Han
Published: October 2024

Polyhexamethylene guanidine phosphate (PHMG-p), a major ingredient of humidifier disinfectants, is known to induce inflammation, interstitial pneumonitis, and fibrosis in the lungs. While its histopathologic toxicities have been studied in rodents, research on pulmonary function test (PFT) changes following PHMG-p exposure is limited. This study aimed to investigate the acute and chronic effects, as well as the dose and time response, of PHMG-p on the lungs in mice using PFT and histopathologic examinations. In the single instillation model, mice received PHMG-p and were sacrificed at 2, 4, and 8 weeks. In the five-time instillation model, PHMG-p was administered five times at one-week intervals, and mice were sacrificed 10 weeks after the first instillation. Results showed that PHMG-p exposure reduced lung volume, increased resistance, and decreased compliance, indicating a restrictive ventilation defect. Histopathologic examination showed increases in lung inflammation and fibrosis scores. Changes in several lung volume and compliance parameters, as well as histopathology, were dose-dependent. Lung resistance and compliance parameters had significant correlations with lung inflammation and fibrosis scores. PHMG-p exposure in mice resulted in a restrictive ventilation defect with altered lung resistance and compliance, along with histopathologic lung inflammation and fibrosis.
Environmental and Occupational Exposure to Chemical Agents and Health Challenges I—What Message Can Bring to Regulatory Science?
Authors: Ladeira Carina
Published: October 2024

Human beings live in constant contact with chemical agents—mainly through environmental exposure—and also derived from the occupational settings [...]
Polyethylene Terephthalate Microplastic Exposure Induced Reproductive Toxicity Through Oxidative Stress and p38 Signaling Pathway Activation in Male Mice
Authors: Li Tianyang , Bian Bohao , Ji Rihao , Zhu Xiuwen , Wo Xiaohui , Song Qiankun , Li Zhigang , Wang Feifei , Jia Yuqiao
Published: October 2024

Polyethylene terephthalate (PET) is a type of polymer plastic that is often used to make plastic bags, bottles, and clothes. However, the waste of such plastic products is decomposed into microplastics (MPs), which are plastic fragments smaller than 5 mm, by various external forces such as wind, UV radiation, mechanical wear, and biodegradation. PET MPs have been widely detected in the environment and human tissue samples; however, the toxicity and mechanism of PET MPs in mammals are still unclear. In this study, we investigated the male reproductive toxicity of PET MPs and their underlying mechanism. A total of 80 male mice were orally exposed to 0.01, 0.1, and 1 mg/d of PET MPs (with a diameter of 1 μm) for 42 days. The results showed that 1 μm PET MPs induced different degrees of pathological damage to testicular tissues, decreased sperm quality, and increased the apoptosis of spermatogenic cells via oxidative stress and p38 signaling pathway activation. To further illustrate and verify the mechanistic pathway, oxidative stress was antagonized using N-acetylcysteine (NAC), and the activation of the p38 signaling pathway was blocked using SB203580. The results revealed that the male reproductive injury effects after exposure to PET MPs were significantly ameliorated. Specifically, the testicular tissue lesions were relieved, the sperm quality improved, and the apoptosis of spermatogenic cells decreased. These results demonstrated that PET MP exposure induced male reproductive toxicity through oxidative stress and the p38 signaling pathway. This study provides new insights into the reproductive toxicity of MPs in males, as well as valuable references for public health protection strategies.
Current Technologies in Snake Venom Analysis and Applications
Authors: Roman-Ramos Henrique , Ho Paulo Lee
Published: October 2024

This comprehensive review explores the cutting-edge advancements in snake venom research, focusing on the integration of proteomics, genomics, transcriptomics, and bioinformatics. Highlighting the transformative impact of these technologies, the review delves into the genetic and ecological factors driving venom evolution, the complex molecular composition of venoms, and the regulatory mechanisms underlying toxin production. The application of synthetic biology and multi-omics approaches, collectively known as venomics, has revolutionized the field, providing deeper insights into venom function and its therapeutic potential. Despite significant progress, challenges such as the functional characterization of toxins and the development of cost-effective antivenoms remain. This review also discusses the future directions of venom research, emphasizing the need for interdisciplinary collaborations and new technologies (mRNAs, cryo-electron microscopy for structural determinations of toxin complexes, synthetic biology, and other technologies) to fully harness the biomedical potential of venoms and toxins from snakes and other animals.
Trends in Medicare Utilization and Reimbursement for Traumatic Brain Injury: 2003–2021
Authors: Inzerillo Sean , Jones Salazar
Published: October 2024

Traumatic brain injury (TBI) is a significant public health issue among Medicare beneficiaries, with many specialties reporting consistent annual decreases in utilization and reimbursement. This study investigates the trends in Medicare utilization and rates of reimbursement for neurosurgical procedures related to TBI from 2003 to 2021, aiming to provide insights into the economic aspects of TBI care. Utilizing the Medicare Part B National Summary Data files, we analyzed 14 neurosurgical procedures over the 18-year period, assessing the changes in procedural volume and mean reimbursement per procedure, adjusted for inflation to the 2021 USD using the Consumer Price Index. From 2003 to 2021, TBI-related neurosurgical interventions showed a total percent change of −15.39% in procedural volume and −3.11% in inflation-adjusted mean reimbursement per procedure. Linear regression analyses indicated a significant downward trend in the overall procedural volume (p < 0.001) but no significant trend in the inflation-adjusted mean reimbursement rates (p = 0.585). Subgroup analyses did not reveal significant changes in the reimbursement rates for decompressive craniotomy/craniectomy, cranioplasty, intracranial pressure management, and traumatic fracture/penetration procedures. Our study indicates a significant decrease in neurosurgical TBI procedural volumes, while reimbursement rates remained stable when adjusted for inflation, highlighting the need for policy adjustments to ensure adequate resources for TBI care.
Community Mobilisation for Human Sample Collection in Sensitive Communities: Experiences from Granular Mapping of Schistosomiasis and Soil-Transmitted Helminths in Ekiti State, South West, Nigeria
Authors: Agbana Temitope , Omotade Omolade , Aderogba Moses , Bell David , Solomon Jacob , Animashaun Saheed , Alabi Peace , Ajayi Oladimeji , Akinwumi Adebowale , Popoola Samuel , Bunda Alex , Diehl Jan-Carel , Vdovine Gleb , Makau-Barasa Louise
Published: October 2024

Community mobilisation is a vital process for raising awareness and increasing participation in healthcare interventions, research, and programmes that require human sample collection and mass management. In this report, we present the community mobilisation approach undertaken for the implementation of the operational mapping and assessment of granular schistosomiasis and soil-transmitted helminths in Ekiti State, Nigeria. The mobilisation was conducted in 177 communities/wards of the 16 local government areas. A total of 15,340 urine and stool samples were collected in 34 days. The efficacy and success of the strategy were evaluated through the following three performance metrics: community compliance rate, the participant response rate at the community level, and the overall compliance response rate of the four most sensitive LGAs. Community compliance was 93.7% as sample collection was denied in nine communities and two other communities demanded the return of the collected samples despite our mobilisation effort because of cultural bias and myths that connect the collection of stool and urine samples to ritual activities in the local context. The participant response rate at the community level was 86.7%. Three of the four sensitive LGAs (based on previous assessment programmes) demonstrated satisfactory compliance rates of 100%, while a response rate of 64.0% was computed for one of the LGAs. We believe our approach contributed to effective community mobilisation and awareness and that the developed model has the potential to improve participation rates in large healthcare assessments and intervention programmes.