bluuebunny/crossref_metadata_2025 huggingface dataset:
Red Currant (Ribes rubrum L.) Fruit Waste Extract and Juice as Potential Spasmolytic Agents
Authors: Cvetković Maja , Miladinović Bojana , Branković Suzana , Randjelović Milica , Živanović Slavoljub , Kitić Nemanja , Milutinović Milica , Jovanović Miloš , Stojanović Dušica , Nikšić Haris , Šavikin Katarina , Kitić Dušanka
Published: January 2025

Red currant (Ribes rubrum L.) berries are rich in bioactive compounds and exhibit nutritive and protective features. This research examined the content of secondary metabolites of the red currant variety Redpoll lyophilized juice and waste extract and their antioxidative and spasmolytic effects. The flavonol and anthocyanin contents of the samples were determined using high-performance liquid chromatography. The antispasmodic effects were assessed in in vitro conditions, and the potential impact of the samples and possible action mechanisms were revealed. The results showed the prevalence of cyanidin-3-O-glucoside as the dominant anthocyanin with higher content in the juice sample. Quercetin content, as the prevalent flavonol, was higher in the waste sample. The berry juice showed a greater ability for scavenging free radicals, whereas the waste better inhibited lipid peroxidation. The juice was a superior antispasmodic agent for spontaneous, KCl-, CaCl2-, BaCl2-, histamine-, and acetylcholine-induced ileal contractions. This first evaluation of the red currant variety Redpoll lyophilized juice and waste extract indicated the beneficial effects of juice as an antioxidant and spasmolytic agent. Therefore, this red currant juice sample could be designated for the prevention or treatment of gastrointestinal disorders.
Differential Stress Responses to Rice Blast Fungal Infection Associated with the Vegetative Growth Phase in Rice
Authors: Koyama Takuma , Tezuka Takumi , Nagano Atsushi J. , Murakami Jiro , Yoshikawa Takanori
Published: January 2025

During vegetative growth, plants undergo various morphological and physiological changes in the transition from the juvenile phase to the adult phase. In terms of stress resistance, it has been suggested that plants gain or reinforce disease resistance during the process of maturation, which is recognized as adult plant resistance or age-related resistance. While much knowledge has been obtained about changes in disease resistance as growth stages progress, knowledge about changes in plant responses to pathogens with progressing age in plants is limited. In this study, we experimentally compared rice blast resistance in rice leaves sampled from plants at different growth phases. The results indicate differential infection progression and fungal status depending on growth stage. Transcriptome analysis following blast fungus infection revealed that several genes involved in the defense response were upregulated in both the juvenile and intermediate stage, but the expression changes of many genes were growth phase-specific. These findings highlight differences in rice leaf stress responses to blast infection at different growth stages.
Characteristics of Ash Accumulation and Alkali Metal Migration in Coal-Fired Power Station Boilers Under Low-Load Combustion
Authors: Peng Ao , Lu Hao , Zhao Wenjun , Morvan Herve , Zhu Mengxin
Published: January 2025

This study aims to investigate the characteristics of ash accumulation and slagging in boilers during low- and medium-load operation and to analyse the migration pattern of alkali metals in high-alkali coal. In this paper, the ash accumulation characteristics and slagging trend of the furnace interior under a 500 MW load were investigated using numerical simulation by comparing the ash accumulation and slagging characteristics under two different burner configurations, and analysing the slagging trend of the furnace with upper burner arrangement and lower burner arrangement by taking the deposition location on the furnace wall and the deposition rate and the temperature of the furnace wall as the indices. The existing formation of sodium in Jundong coal at different temperatures was investigated using computational methods; SiO2, Al2O3, and kaolin were doped separately; and the migration and transformation characteristics of their different additives on the sodium-based compounds in Jundong coal were explored. The results showed that, under a 500 MW load, the size of the tangent circle formed in the furnace by commissioning the upper burner condition was larger than the lower burner, and the main combustion zone was larger than the lower burner. The ash accumulation of coal ash particles in the boiler was mainly concentrated in the hearth region, and the deposition rate was higher at the height regions of 10 m and 25 m in the hearth. The solid-phase NaCl transition temperature was reduced to 350 °C after the doping of SiO2 in Jundong coal, and the doping of Al2O3 inhibited the transition of solid-phase NaCl, promoted the generation of gas-phase NaCl, and had certain inhibitory effects on the generation of sodium-based silica–aluminium compounds, the content of which at all temperatures was inversely proportional to the proportion of doping. The doping of kaolin promotes the transformation of solid-phase NaCl and inhibits the generation of gas-phase NaCl.
Processing and Shelf Life of Cold Brew Organic Coffee
Authors: Soares Eduardo Alessandro , Bento Giovanni Ponzo , Nogueira Letícia Carmelindo , Arismendes Thainá Leonardo Calia , de Oliveira Machado Carolina Lollato , Guerra Eloiza Leme , Verruma-Bernardi Marta Regina , Petrus Rodrigo Rodrigues
Published: January 2025

The cold brew method consists of soaking roasted and ground coffee beans either in cold or ambient water (4–23 °C) for up to 24 h. Using this technique, a drink with a unique sensory profile is obtained. This study was conducted to determine the shelf life of a cold brew organic coffee drink (pH~5.0) made from organic beans subjected to three roast levels: light, medium and dark. The drink was pasteurized at 90 °C/30 s, ultra-clean filled into high-density polyethylene bottles, and stored at 4 °C in the dark. Physicochemical, enzymic tests, instrumental color analysis, and microbiological and sensory assays were carried out. The product remained microbiologically stable under refrigeration for all roast levels; however, the beverage made from light roasted beans failed at the beginning of the study, in contrast to the those prepared from medium and dark roasts, which achieved 150 days of shelf life.
Development of Vitamin C-Enriched Oral Disintegration Films Using Chia Mucilage
Authors: Palezi Simone Canabarro , Latorres Juliana Machado , Fernandes Sibele Santos , Martins Vilásia Guimarães
Published: January 2025

Oral disintegration films (ODFs) offer a convenient alternative for administering active compounds with quick absorption, no need for water, customizable formulation, and promising pharmaceutical applications. This study aimed to develop chia mucilage films as a new polymer to carry vitamin C. Chia mucilage was extracted using the method of immersing the seeds in water, separated by vacuum filtration and using a sieve to remove the mucilaginous gel, then centrifuged and finally freeze-dried, with the mucilage obtained being used to produce films using the casting technique. The formulations included a control and a 1% vitamin C variant, with glycerol as a plasticizer. The produced films showed high solubility, pH close to the oral and a disintegration time of 53.17 s for the formulation with 1% vitamin C. The presence of vitamin C in the polymer matrix, as well as the interactions between them, were confirmed by DSC and FTIR spectra. On the first day of storage, after 1 min of reaction at 30 °C, the vitamin C concentration obtained was 477.50 mg/g, while at 40 °C was 411.28 mg/g. After 35 days of storage, the films showed a reduction in vitamin C concentration. Chia mucilage proved to be a promising polymer in the production of ODFs carrying vitamin C.
Valorization of Bauxite Residue for Use as Adsorbent for Reactive Blue Removal: Regeneration Evaluation
Authors: do Nascimento Tatiane Maria , Gambarra Francimarcio Geraldo da Silva , Rodrigues Meiry Gláucia Freire
Published: January 2025

In recent years, there has been increasing concern regarding the widespread occurrence of dyes in aquatic environments, due to their harmful effects on both water quality and human health. This investigation uses bauxite residue as a cost-effective sorbent to eradicate the hazardous reactive blue (RB) dye from aqueous solutions. The reusability potential of bauxite residue was also evaluated. The bauxite residue was characterized by X-ray diffraction, Cation Exchange Capacity, Chemical analysis, FTIR, and Analysis of particle size and particle distribution. The RB dye adsorption parameters revealed that the removal efficiency and adsorption capacity of bauxite residue was 100% and 186.01 mg/g, respectively, under the following adsorption conditions: adsorbent dosage of 0.5 mg/L, initial pH of 2, dye concentration of 50 mg/g, and reaction temperature of 25 °C. Furthermore, the adsorption of RB dye on bauxite residue followed the pseudo-second-order kinetic and Freundlich isotherm models. After one adsorption cycle, the adsorption capacity of bauxite residue for reactive RB removal reached 186.01 mg/g. The regeneration study revealed that the bauxite residue remained 99% of its original condition following the water regeneration cycle.
Sustainable Fruit Preservation Using Algae-Based Bioactive Coatings on Textile Packaging
Authors: Shabbir Zoha , Javed Kashif , Khan Imran Ahmad , Khan Asfandyar , Saleem Muhammad Junaid
Published: January 2025

This study explores the potential of using natural textile packaging infused with algae-based coatings as an eco-friendly alternative to traditional plastic packaging for extending fruit shelf life. Traditional plastic packaging is known to release harmful chemicals into both food and the environment, which underscores the need for safer, more sustainable alternatives. This study investigates algae from three distinct groups—green, red, and brown algae—renowned for their rich bioactive compounds that exhibit natural preservative properties. Algae powders were prepared via immersion in purified water, boiling, and mixing with gum arabic to form a gelatinous coating solution. The algae coating was applied to knitted fabric, which was then crafted into bags for storing fruits such as tomatoes and apples. Over 21 days, the texture, weight loss, and juice content of the fruits stored in algae-coated bags were monitored and compared to those stored in uncoated packaging. The results showed that fruits in algae-coated packaging demonstrated significantly less weight loss and retained better texture. In terms of weight, the combination of red, green, and brown algae-coated packaging demonstrated the lowest reduction in weight for tomatoes (4.2%) and apples (3.8%) after 21 days, outperforming uncoated packaging, which exhibited reductions of 11.2% and 10.8%, respectively. These findings support the potential of algae-coated textile packaging to reduce reliance on conventional plastics while maintaining fruit quality during storage.
Evaluation of HY-2B SMR Sea Surface Temperature Products from 2019 to 2024
Authors: Liu Ping , Zhao Yili , Zhou Wu , Wang Shishuai
Published: January 2025

Haiyang 2B (HY-2B), the second Chinese ocean dynamic environment monitoring satellite, has been operational for nearly six years. The scanning microwave radiometer (SMR) onboard HY-2B provides global sea surface temperature (SST) observations. Comprehensive validation of these data is essential before they can be effectively applied. This study evaluates the operational SST product from the SMR, covering the period from 1 January 2019 to 31 August 2024, using direct comparison and extended triple collocation (ETC) methods. The direct comparison assesses bias and root mean square error (RMSE), while ETC analysis estimates the random error of the SST measurement systems and evaluates their ability to detect SST variations. Additionally, the spatial and temporal variations in error characteristics, as well as the crosstalk effects of sea surface wind speed, columnar water vapor, and columnar cloud liquid water, are analyzed. Compared with iQuam SST, the total RMSE of SMR SST for ascending and descending passes are 0.88 °C and 0.85 °C, with total biases of 0.1 °C and −0.08 °C, respectively. ETC analysis indicates that the random errors for ascending and descending passes are 0.87 °C and 0.80 °C, respectively. The SMR’s ability to detect SST variations decreases significantly at high latitudes and near 10°N latitude. Error analysis reveals that the uncertainty in SMR SSTs has increased over time, and the presence of crosstalk effects in SMR SST retrieval has been confirmed.
Infrared Dim Small Target Detection Algorithm with Large-Size Receptive Fields
Authors: Wang Xiaozhen , Han Chengshan , Li Jiaqi , Nie Ting , Li Mingxuan , Wang Xiaofeng , Huang Liang
Published: January 2025

Infrared target detection has a wide range of application value, but due to the characteristics of infrared images, infrared targets are easily submerged in the complex background. Therefore, in complex scenes, it is difficult to effectively and accurately detect infrared dim small targets. For this reason, we design an infrared dim small target (IDST) detection algorithm containing Large-size Receptive Fields (LRFNet). It uses the Residual network with an Inverted Pyramid Structure (RIPS), which consists of convolutional layers that become progressively smaller, so it can have a larger effective receptive field and can improve the robustness of the model. In addition, through the Attention Mechanisms with Large Receptive Fields and Inverse Bottlenecks (LRIB), it can make the network better localize the region where the target is located and improve the detection effect of the model. The experimental results show that our proposed algorithm outperforms other state-of-the-art algorithms in all evaluation metrics.
Enhanced Neural Architecture for Real-Time Deep Learning Wavefront Sensing
Authors: Li Jianyi , Liu Qingfeng , Tan Liying , Ma Jing , Chen Nanxing
Published: January 2025

To achieve real-time deep learning wavefront sensing (DLWFS) of dynamic random wavefront distortions induced by atmospheric turbulence, this study proposes an enhanced wavefront sensing neural network (WFSNet) based on convolutional neural networks (CNN). We introduce a novel multi-objective neural architecture search (MNAS) method designed to attain Pareto optimality in terms of error and floating-point operations (FLOPs) for the WFSNet. Utilizing EfficientNet-B0 prototypes, we propose a WFSNet with enhanced neural architecture which significantly reduces computational costs by 80% while improving wavefront sensing accuracy by 22%. Indoor experiments substantiate this effectiveness. This study offers a novel approach to real-time DLWFS and proposes a potential solution for high-speed, cost-effective wavefront sensing in the adaptive optical systems of satellite-to-ground laser communication (SGLC) terminals.
Design of Microstrip Antenna Integrating 24 GHz and 77 GHz Compact High-Gain Arrays
Authors: Zhu Junli , Liu Jingping
Published: January 2025

The swift advancement of contemporary communication technology, along with the development of radar systems, has raised the requirements for antenna systems. In this work, an integrated array antenna operating in the 24 GHz and 77 GHz frequency bands is proposed. The microstrip antenna array element uses a width reduction approach to reduce its volume by 39.82%. By using corner series feeding, a 3 × 3 planar array is created. The arrays operating at 77 GHz and 24 GHz can produce gains of 14.19 dBi and 15.34 dBi, respectively, with sidelobe levels of less than −9.14 dB and −12.85 dB and cross-polarization levels of −29.26 dB and −40.52 dB. This design reduces the volume of the array, eliminates the need for a complex feeding network, minimizes feeding losses, and enhances the antenna’s gain, all while maintaining good sidelobe levels and cross-polarization performance. These improvements hold significant potential for broader application. Moreover, the simulation and measurement results are in close agreement.
Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network
Authors: Hu Xu , Pang Na , Guo Haibo , Wang Rui , Li Fei , Li Guo
Published: January 2025

Aeromagnetic surveying technology detects minute variations in Earth’s magnetic field and is essential for geological studies, environmental monitoring, and resource exploration. Compared to conventional methods, residence time difference (RTD) fluxgate sensors deployed on unmanned aerial vehicles (UAVs) offer increased flexibility in complex terrains. However, measurement accuracy and reliability are adversely affected by environmental and sensor noise, including Barkhausen noise. Therefore, we proposed a novel denoising method that integrates Particle Swarm Optimization (PSO) with Wavelet Neural Networks, enhanced by a dynamic compression factor and an adaptive adjustment strategy. This approach leverages PSO to fine-tune the Wavelet Neural Network parameters in real time, significantly improving denoising performance and computational efficiency. Experimental results indicate that, compared to conventional wavelet transform methods, this approach reduces time difference fluctuation by 23.26%, enhances the signal-to-noise ratio (SNR) by 0.46%, and improves sensor precision and stability. This novel approach to processing RTD fluxgate sensor signals not only strengthens noise suppression and measurement accuracy but also holds significant potential for improving UAV-based geological surveying and environmental monitoring in challenging terrains.
Determination of Vibration Properties and Reliable Frequency Estimation for Synchronous Vibrations Through Improved Blade Tip Timing Techniques Without a Once-per-Revolution Sensor
Authors: Sasakaros Marios , Mann Luca , Schafferus Markus , Wirsum Manfred
Published: January 2025

Synchronous vibrations, which are caused by periodic excitations, can have a severe impact on the service life of impellers. Blade Tip Timing (BTT) is a promising technique for monitoring synchronous vibrations due to its non-intrusive nature and ability to monitor all blades at once. BTT generally employs a Once-per-Revolution (OPR) sensor that is mounted on the shaft for blade identification and deflection calculation. Nevertheless, OPR sensors can be unreliable, as they may be affected by shaft vibrations, and their implementation can be restricted by space constraints. Moreover, the low number of BTT sensors typically leads to under-sampled deflection signals, which consequently hinders the estimation of the vibration frequencies due to aliasing problems. For this reason, BTT is commonly accompanied by strain gauge (SG) measurements on some blades. In this paper, improved BTT techniques are presented, which enable the determination of vibration properties of synchronous vibrations without the need for an OPR sensor and ensure a reliable frequency assessment. Specifically, the blades are identified by unique characteristics resulting from manufacturing tolerances, while the blade deflections are calculated through a novel method, which relies on the impeller’s circumferential position. The proposed method enables accurate OPR-free calculation of blade deflections, by accounting for speed variations within a revolution and considering the actual blade positions on the impeller. By completely eliminating the need for an OPR sensor, the accuracy of BTT is enhanced, as the blade deflections are no longer affected by shaft vibrations, while speed variations within a revolution can be accounted for. Moreover, the implementation possibilities of BTT are improved, allowing its application in systems, where an OPR sensor cannot be instrumented due to space constraints. Subsequently, the vibration frequencies are accurately estimated, by employing an improved Multi-Sampling method based on Non-Uniform Fast Fourier Transform. This approach enables the blind analysis of BTT measurements and can identify multiple vibration frequencies. The proposed method expands the capabilities of BTT through a reliable assessment of vibration frequencies from under-sampled BTT signals. Therefore, it is no longer necessary to accompany BTT measurements with SG measurements for frequency identification. Finally, the vibration properties are determined using regression models. The proposed BTT techniques are validated through comparison with SG measurements as well as a commercial BTT system, using experimental data from a test bench of a turbocharger used for marine applications. The vibrations were recorded under real operating conditions, thus demonstrating the industrial applicability of the proposed BTT evaluation procedure.
Estimation of 1 km Dawn–Dusk All-Sky Land Surface Temperature Using a Random Forest-Based Reanalysis and Thermal Infrared Remote Sensing Data Merging (RFRTM) Method
Authors: Dong Yaohai , Zhang Xiaodong , Hu Xiuqing , Shang Jian , Zhao Feng
Published: January 2025

All-sky 1 km land surface temperature (LST) data are urgently needed. Two widely applied approaches to derive such LST data are merging thermal infrared remote sensing (TIR)–passive microwave remote sensing (PMW) observations and merging TIR reanalysis data. However, as only the Moderate Resolution Imaging Spectroradiometer (MODIS) is adopted as the TIR source for merging, current 1 km all-sky LST products are limited to the MODIS observation time. Therefore, a gap still remains in terms of all-sky LST data with a higher temporal resolution or at other times (e.g., dawn–dusk time). Under this background, this study merged the observations of the Medium Resolution Spectrum Imager (MERSI-LL) on board the dusk–dawn-orbit Fengyun (FY)-3E satellite and Global Land Data Assimilation System (GLDAS) data to estimate dawn–dusk 1 km all-sky LST using a random forest-based method (RFRTM). The results showed that the model had good robustness, with an STD of 0.62–0.86 K of the RFRTM LST, compared with the original MERSI-LL LST. Validation against in situ LST showed that the estimated LST had an accuracy of 1.34–3.71 K under all-sky conditions. In addition, compared with the dawn–dusk LST merged from MERSI-LL and the Special Sensor Microwave Imager/Sounder (SSMI/S), the RFRTM LST showed better performance in accuracy and image quality. This study’s findings are beneficial for filling the gap in all-sky LST at high spatiotemporal resolutions for associated applications.
Practices in Integrating Workplace Learning into Upper Secondary Education
Authors: Peterson Birgit , Loogma Krista , Aasa Maret
Published: January 2025

In recent years, Estonian employers, upper secondary schools, and other stakeholders have devised various new collaborative measures to effectively integrate workplace learning (WPL) and school education. These efforts are aimed at enhancing the key competences of students. However, the educational purpose and effectiveness of the various initiatives are unknown. The main aim of this research is to explore what kinds of practises are applied in Estonian upper secondary schools to integrate formal education and WPL, and the experiences and requirements of schools and employers in this area. The empirical study is based on individual and focus group interviews conducted with upper secondary school teachers, head teachers, and employers. A phenomenological approach and inductive thematic analysis were used to examine current practises. The results of the study show that workplace learning is integrated into school learning mainly for the development of key competences and career competencies. An important part of the learning process is reflecting on experiences implemented via institutional cooperation. In core or foundation subjects, especially STEM subjects, the topics of work life or recognition of work experience are rarely encountered in school.
Investigation of Grid-Tied Photovoltaic Power Plant on Medium-Voltage Feeder: Palestine Polytechnic University Case Study
Authors: Maghalseh Maher , Iqteit Nassim , Alqadi Haitham , Ajib Salman
Published: January 2025

The conventional unidirectional power flow model of centralized energy grids is being revolutionized by integrating renewable energy sources, particularly photovoltaic (PV) systems, to meet the escalating demand for electricity while ensuring sustainability. However, this integration challenges the efficiency and performance of power systems and impacts various parameters, including power quality, voltage profile, power factor, power loss, and load flow. This paper investigates the effects and performance of a grid-tied PV system integrated into the conventional power system, focusing on the Palestine Polytechnic University (PPU) 230 kWp PV plant as a real-world case study. Simulations conducted using ETAP software revealed that integrating the PV system resulted in a slight increase in the voltage level at the main bus of the PPU feeder, with an increase of 0.03% at the medium-voltage level. Additionally, the voltage level at the Point of Common Coupling (PCC) increased by 0.51% with a PV penetration level of only 14.7%, which remains within the acceptable range according to IEEE 1547 standards. These findings underscore the minimal impact of the PV system on the voltage profile and highlight the system’s ability to maintain power quality and efficiency even with the addition of renewable energy sources. The daily load profiles were studied with and without the PV system, providing a comprehensive analysis of its effects on the grid.
A Tool for a Fast and Accurate Evaluation of the Energy Production of Bifacial Photovoltaic Modules
Authors: d’Alessandro Vincenzo , Daliento Santolo , Dhimish Mahmoud , Guerriero Pierluigi
Published: January 2025

In this work, we propose a simulation tool designed for the analysis and optimization of bifacial photovoltaic (PV) modules, which are currently under the spotlight in the renewable energy scenario. The tool is conceived to support researchers and engineers by providing fast and accurate predictions of the PV module yield under various operating and environmental conditions. For a chosen geographical site, the impact of module orientation, tilt, albedo, sky conditions, ambient temperature, and so on can be effortlessly determined. In case of nonuniformity across the cells dictated by localized architectural shading, dirt, bird drops, and defects, a circuit-based cell-level approach can be activated to compute the module production. An extensive simulation campaign is performed by assuming that the panels are installed in Naples without loss of generality. Results are shown to give detailed insights into the performance of bifacial modules, thus providing unambiguous guidelines for their correct installation. Further analyses are conducted to demonstrate the tool capability to quantify the detrimental influence of a poorly-irradiated cell on the backside, as well as of cracked cells.
Electrocardiographic Assessment of National-Level Triathletes: Sinus Bradycardia and Other Electrocardiographic Abnormalities
Authors: Climstein Mike , Graham Kenneth S. , Stapelberg Michael , Walsh Joe , DeBeliso Mark , Adams Kent , Sevene Trish , Harris Chad
Published: January 2025

Background: High-intensity endurance training induces specific cardiac adaptations, often observed through electrocardiographic (ECG) changes. This study investigated the prevalence of ECG abnormalities in national-level Australian triathletes compared to sedentary controls. Methods: A cross-sectional observational study was conducted involving 22 triathletes and 7 sedentary controls. Standard 12-lead ECGs assessed resting heart rate, ECG intervals, and axis deviation. Peak oxygen consumption was evaluated in triathletes to correlate with ECG indices and left ventricular mass, derived via echocardiography. Results: Triathletes exhibited significantly lower resting heart rates (53.8 vs. 72.1 bpm, −34%, p = 0.04), shorter QRS durations (0.088 vs. 0.107 ms, −21.6%, p = 0.01), and longer QT intervals (0.429 vs. 0.358 ms, +16.6%, p = 0.01) compared to controls. Sinus bradycardia was present in 68.2% of triathletes, with varying severity. First-degree atrioventricular block was identified in 13.6% of athletes, and left ventricular hypertrophy was confirmed in 18 triathletes via echocardiography. A significant positive relationship was identified between VO2peak and left ventricular mass (r = 0.68, p = 0.003). Conclusions: National-level triathletes exhibited ECG and structural cardiac adaptations consistent with high-intensity endurance training. Echocardiography is recommended for the accurate identification of LVH. These findings highlight the need for comprehensive cardiac evaluation in athletes to distinguish between physiological and pathological adaptations.
Optimization of Microgrid Dispatching by Integrating Photovoltaic Power Generation Forecast
Authors: Zhang Tianrui , Zhao Weibo , He Quanfeng , Xu Jianan
Published: January 2025

In order to address the impact of the uncertainty and intermittency of a photovoltaic power generation system on the smooth operation of the power system, a microgrid scheduling model incorporating photovoltaic power generation forecast is proposed in this paper. Firstly, the factors affecting the accuracy of photovoltaic power generation prediction are analyzed by classifying the photovoltaic power generation data using cluster analysis, analyzing its important features using Pearson correlation coefficients, and downscaling the high-dimensional data using PCA. And based on the theories of the sparrow search algorithm, convolutional neural network, and bidirectional long- and short-term memory network, a combined SSA-CNN-BiLSTM prediction model is established, and the attention mechanism is used to improve the prediction accuracy. Secondly, a multi-temporal dispatch optimization model of the microgrid power system, which aims at the economic optimization of the system operation cost and the minimization of the environmental cost, is constructed based on the prediction results. Further, differential evolution is introduced into the QPSO algorithm and the model is solved using this improved quantum particle swarm optimization algorithm. Finally, the feasibility of the photovoltaic power generation forecasting model and the microgrid power system dispatch optimization model, as well as the validity of the solution algorithms, are verified through real case simulation experiments. The results show that the model in this paper has high prediction accuracy. In terms of scheduling strategy, the generation method with the lowest cost is selected to obtain an effective way to interact with the main grid and realize the stable and economically optimized scheduling of the microgrid system.
Truly Sustainable Responsibility: A New Research Direction Building on Environmental Management, Corporate Social Responsibility, and Corporate Sustainability
Authors: Kaivo-oja Jari , Ainamo Antti
Published: January 2025

Many advances have recently been made across three key streams of sustainability research: (1) environmental management (EM), (2) corporate social responsibility (CSR), and (3) corporate sustainability (CS)—the focus of this Sustainability Special Issue [...]
Nature Tourism and Mental Well-Being: Insights from a Controlled Context on Reducing Depression, Anxiety, and Stress
Authors: Avecillas-Torres Imelda , Herrera-Puente Sebastián , Galarza-Cordero Miguel , Coello-Nieto Fernanda , Farfán-Pacheco Karina , Alvarado-Vanegas Byron , Ordóñez-Ordóñez Stephany , Espinoza-Figueroa Freddy
Published: January 2025

Recent studies have underscored the importance of tourism in enhancing individuals’ mental well-being through engagement with nature. This article examines the impact of nature-based tourism on alleviating symptoms of depression, anxiety, and stress among a group of 67 university students who exhibited extremely severe levels of these disorders. Participants were assessed both before and after a nature tourism experience in the Tinajillas Río Gualaceño Protected Forest, Ecuador. Mental health changes were evaluated using the DASS-21 scale, with assessments conducted pre- and post-activity, revealing significant reductions in depression, anxiety, and stress levels, with large and clinically relevant effect sizes. However, a 6-month follow-up indicated that these long-term benefits diminished and no longer held clinical significance, suggesting the need for more frequent interventions to sustain positive effects. This study concludes that nature-based tourism serves as an effective non-pharmacological intervention for improving mental well-being in the short term, although its sustainability requires continuous interaction with nature. These findings provide empirical support for nature-based tourism as a mental health strategy and highlight the importance of integrating it into public health policies and tourism management strategies.
Exploration of Influencing Factors and Generation Mechanism of EPFRs in Polycyclic Aromatic Hydrocarbon-Contaminated Soil
Authors: Liu Yaning , Su Guijin , Xu Yulin , Peng Jiahua , Meng Jing , Li Qianqian , Shi Bin
Published: January 2025

Environmentally persistent free radicals (EPFRs) are a new class of pollutants that have been identified as potential environmental contaminants due to their persistence and ability to generate reactive oxygen species (ROS) that cause oxidative stress in living organisms. This study investigates the formation and behavior of EPFRs during the photodegradation of organic pollutants, emphasizing the role of metal ions, precursor concentration, and environmental conditions. Results show that light exposure significantly enhances pollutant degradation rates, EPFR yield, and formation speed, though it simultaneously shortens EPFR lifespan due to reactive oxygen species (ROS) generation. In dark conditions, EPFR formation is slower but results in more stable radicals. Metal ions play a pivotal role, with Cu(II) exhibiting the highest EPFR generation capacity due to its strong electron-accepting properties, surpassing Zn(II) and Na(I), highlighting that metal ions with greater oxidizing potential enhance EPFR formation. The precursor, as both reaction product and reactant, plays a dual role in EPFR formation. Individual compounds like anthracene (ANT) yield stable carbon-centered radicals, while mixtures of polycyclic aromatic hydrocarbons (PAHs) produce more complex radical spectra. The study of the influencing factors and transformation mechanisms of EPFR generation in soil can provide a more comprehensive understanding of the environmental behavior of new pollutants, provide a scientific basis for sustainable development, and be of great significance for the assessment and management of environmental risks and the protection of the ecological environment.
Fuel Replenishment Problem of Heterogeneous Fleet in Initiative Distribution Mode
Authors: Li Jin , Song Hongying , Liu Huasheng
Published: January 2025

Petrol, a vital energy source for residents’ consumption and economically sustainable operation, generates substantial distribution demand. To reduce distribution costs, we propose a fuel replenishment problem using a heterogeneous fleet based on the initiative distribution mode. In this mode, the distribution center determines both the delivery orders of customers and the distribution plan. We develop a mathematical model with minimal operational costs, including transport, employment, and penalty costs. A Two-stage heuristic algorithm K-IBKA based on time-space clustering is proposed, which also combines the advantages of the butterfly optimization algorithm in quick convergence and hierarchical mutation strategy in population diversity. The results demonstrate that: (1) Heterogeneous truck distribution exhibits better cost advantages compared to homogeneous distribution, reducing total costs by 13.07%; (2) Compared to passive distribution mode, the total cost of the initiative distribution mode is reduced by 11.03% and 41.80%, respectively, through small and large-scale instances. (3) Compared with the unimproved BKA, ALNS, and GA, the total cost calculated by K-IBKA is reduced by 37.68%, 35.30%, and 27.26%, respectively, thus demonstrating the contribution of this work to reducing the cost of petrol distribution and achieving sustainable development of distribution.
Study on the Influence of Two-Step Filling Mechanic Characteristics on the Stability of Single-Side Exposed Cemented Backfill
Authors: Li Yao , Mei Dan , Hu Xingyu , Luo Binyu
Published: January 2025

This study analyzed the influence of the mechanical properties of two-step backfill on the stability of mining sites. The study focused on the one-step adhesive backfill of segmented backfill mining in a mine in Shandong Province, where the front wall was exposed and the back wall was compressed. A three-dimensional mechanical model of the front wall exposed, back wall compressed cemented filling material considering the mechanical properties of the two-step weakly cemented filling material was established through theoretical analysis. On this basis, considering the influence of different mechanical properties (elastic modulus, internal friction angle, cohesion, and Poisson’s ratio) of two-step weakly cemented filling on one-step cemented filling, FLAC 3D 6.00.60 numerical simulation software was used to study the influence of various factors on the horizontal displacement distribution of cemented filling under single-sided exposure conditions using numerical simulation methods. The results show that the adhesive filling material exposed on one side is subjected to lateral pressure from adjacent weak adhesive filling materials, and its stability is affected by the contact area and mechanical properties of the weak adhesive filling material. Increasing the elastic modulus of the two-step weak adhesive filling material from 100 MPa to 500 MPa can reduce the maximum horizontal displacement of the one-step adhesive filling material from 116 mm to 32 mm, a decrease of about 72%. Similarly, increasing the cohesive force from 0.09 MPa to 0.21 MPa can reduce displacement from 96 mm to 33 mm, a decrease of 66%. Improving the mechanical properties of the two-step weakly cemented filling material can reduce the tendency of tailings to slide and collapse, and can reduce the lateral pressure applied by the cemented filling material. The horizontal displacement law of the two-step cemented filling material with front wall exposure and rear wall compression is basically similar under different mechanical properties of the one-step weakly cemented filling material. In the vertical direction, as the height of the filling material increases, the horizontal displacement first slowly increases to the maximum value and then slowly decreases. As the mechanical properties of the two-step weakly cemented filling increase, the horizontal displacement of the one-step cemented filling decreases.
Existence and Uniqueness of a Solution of a Boundary Value Problem Used in Chemical Sciences via a Fixed Point Approach
Authors: Ishtiaq Umar , Jahangeer Fahad , Garayev Mubariz , Popa Ioan-Lucian
Published: January 2025

In this paper, we present Proinov-type fixed point theorems in the setting of bi-polar metric spaces and fuzzy bi-polar metric spaces. Fuzzy bi-polar metric spaces with symmetric property extend classical metric spaces to address dual structures and uncertainty, ensuring consistency and balance. We provide different concrete conditions on the real-valued functions Ω,Π:0,∞→R for the existence of fixed points via the (Ω,Π)-contraction in bi-polar metric spaces. Further, we define real-valued functions Ω,Π:(0,1]→R to obtain fixed point theorems in fuzzy bi-polar metric spaces. We apply Ω,Π fuzzy bi-polar version of a Banach fixed point theorem to show the existence of solutions. Furthermore, we provide some non-trivial examples to show the validity of our results. In the end, we find the existence and uniqueness of a solution of integral equations and boundary value problem used in chemical sciences by applying main results.
A Dual-Stage Processing Architecture for Unmanned Aerial Vehicle Object Detection and Tracking Using Lightweight Onboard and Ground Server Computations
Authors: Ntousis Odysseas , Makris Evangelos , Tsanakas Panayiotis , Pavlatos Christos
Published: January 2025

UAVs are widely used for multiple tasks, which in many cases require autonomous processing and decision making. This autonomous function often requires significant computational capabilities that cannot be integrated into the UAV due to weight or cost limitations, making the distribution of the workload and the combination of the results produced necessary. In this paper, a dual-stage processing architecture for object detection and tracking in Unmanned Aerial Vehicles (UAVs) is presented, focusing on efficient resource utilization and real-time performance. The proposed system delegates lightweight detection tasks to onboard hardware while offloading computationally intensive processes to a ground server. The UAV is equipped with a Raspberry Pi for onboard data processing, utilizing an Intel Neural Compute Stick 2 (NCS2) for accelerated object detection. Specifically, YOLOv5n is selected as the onboard model. The UAV transmits selected frames to the ground server, which handles advanced tracking, trajectory prediction, and target repositioning using state-of-the-art deep learning models. Communication between the UAV and the server is maintained through a high-speed Wi-Fi link, with a fallback to a 4G connection when needed. The ground server, equipped with an NVIDIA A40 GPU, employs YOLOv8x for object detection and DeepSORT for multi-object tracking. The proposed architecture ensures real-time tracking with minimal latency, making it suitable for mission-critical UAV applications such as surveillance and search and rescue. The results demonstrate the system’s robustness in various environments, highlighting its potential for effective object tracking under limited onboard computational resources. The system achieves recall and accuracy scores as high as 0.53 and 0.74, respectively, using the remote server, and is capable of re-identifying a significant portion of objects of interest lost by the onboard system, measured at approximately 70%.
Robotic Systems for Hand Rehabilitation—Past, Present and Future
Authors: Gherman Bogdan , Zima Ionut , Vaida Calin , Tucan Paul , Pisla Adrian , Birlescu Iosif , Machado Jose , Pisla Doina
Published: January 2025

Background: Cerebrovascular accident, commonly known as stroke, Parkinson’s disease, and multiple sclerosis represent significant neurological conditions affecting millions globally. Stroke remains the third leading cause of death worldwide and significantly impacts patients’ hand functionality, making hand rehabilitation crucial for improving quality of life. Methods: A comprehensive literature review was conducted analyzing over 300 papers, and categorizing them based on mechanical design, mobility, and actuation systems. To evaluate each device, a database with 45 distinct criteria was developed to systematically assess their characteristics. Results: The analysis revealed three main categories of devices: rigid exoskeletons, soft exoskeletons, and hybrid devices. Electric actuation represents the most common source of power. The dorsal placement of the mechanism is predominant, followed by glove-based, lateral, and palmar configurations. A correlation between mass and functionality was observed during the analysis; an increase in the number of actuated fingers or in functionality automatically increases the mass of the device. The research shows significant technological evolution with considerable variation in design complexity, with 29.4% of devices using five or more actuators while 24.8% employ one or two actuators. Conclusions: While substantial progress has been made in recent years, several challenges persist, including missing information or incomplete data from source papers and a limited number of clinical studies to evaluate device effectiveness. Significant opportunities remain to improve device functionality, usability, and therapeutic effectiveness, as well as to implement advanced power systems for portable devices.
Biological and Social Predictors of HIV-1 RNA Viral Suppression in ART Treated PWLH in Sub-Saharan Africa
Authors: Gandla Sindhuri , Nakka Raja , Khan Ruhul Ali , Bose Eliezer , Ghebremichael Musie
Published: January 2025

HIV remains a significant health issue, especially in sub-Saharan Africa. There are 39 million people living with HIV (PLWH) globally. Treatment with ART improves patient outcomes by suppressing the HIV RNA viral load. However, not all patients treated with ART suppress the HIV RNA viral load. This research paper explores the potential predictors of VL suppression in ART-treated PLWH. We used retrospective data from the 4820 ART-treated participants enrolled through population-based surveys conducted in Zambia and Malawi. We applied several machine learning (ML) classifiers and used the top classifiers to identify the predictors of VL suppression. The age of participants ranged from 15 to 64 years, with a majority being females. The predictive performance of the various ML classifiers ranged from 64% to 92%. In our data from both countries, the logistic classifier was among the top classifiers and was as follows: Malawi (AUC = 0.9255) and Zambia (AUC = 0.8095). Thus, logistic regression was used to identify the predictors of viral suppression. Our findings indicated that besides ART treatment status, older age, higher CD4 T-cell count, and longer duration of ART were identified as significant predictors of viral suppression. Though not statistically significant, ART initiation 12 months or more before the survey, urban residence, and wealth index were also associated with VL suppression. Our findings indicate that HIV prevention programs in the region should integrate education on early ART initiation and adherence in PLWH.
Gravitational Algebras and Applications to Nonequilibrium Physics
Authors: Cirafici Michele
Published: January 2025

This note aims to offer a non-technical and self-contained introduction to gravitational algebras and their applications in the nonequilibrium physics of gravitational systems. We begin by presenting foundational concepts from operator algebra theory and exploring their relevance to perturbative quantum gravity. Additionally, we provide a brief overview of the theory of nonequilibrium dynamical systems in finite dimensions and discuss its generalization to gravitational algebras. Specifically, we focus on entropy production in black hole backgrounds and fluctuation theorems in de Sitter spacetime.