bluuebunny/crossref_metadata_2025 huggingface dataset:
Antidepressant Activity of Agarwood Essential Oil: A Mechanistic Study on Inflammatory and Neuroprotective Signaling Pathways
Authors: Zhang Shunan , Chen Xiqin , Wang Canhong , Sun Yuanyuan , Gong Bao , Li Dan , Wu Yulan , Liu Yangyang , Wei Jianhe
Published: February 2025

Background: Depression ranks among the most severe mental health conditions, and poses a burden on global health. Agarwood, an aromatic medicinal plant, has shown potential for improving mental symptoms. As a common folk medicine, agarwood has been applied as an alternative method for mental disorders such as depression through aromatherapy. Previous studies have found that the therapeutic effects of agarwood aromatherapy are primarily related to its volatile components. This study aimed to examine the antidepressant properties and underlying mechanisms of agarwood essential oil (AEO), a collection of the volatile components of agarwood utilized through aromatherapy inhalation and injection administration in mice. Methods: A lipopolysaccharide (LPS)-induced inflammatory depression model was used to evaluate the effects of AEO inhalation and injection on depression-like symptoms. Behavioral assessments included the open-field, tail suspension, and forced swimming tests. Western blot (WB) and ELISA techniques were used to further verify the mechanistic insights. Results: In the LPS-induced depression-like model, AEO inhalation and injection significantly improved depression-like symptoms, decreased immobility duration in both the tail suspension and forced swimming tests in model mice, and reduced the levels of inflammatory cytokines IL-1β, IL-6, and TNF-α. WB experiments demonstrated that AEO inhibited the NF-κB/IκB-α inflammatory pathway and activated the BDNF/TrkB/CREB pathway in the hippocampus of the LPS-depression model mice. Notably, AEO extracted by hydrodistillation was more effective in alleviating LPS-induced depressive-like behaviors than using supercritical CO2 fluid extraction. Conclusions: Both the inhalation and the injection administration of AEO exerted notable antidepressant effects, potentially associated with reducing inflammation levels in the brain, downregulating inflammatory NF-κB/IκB-α, and upregulating the neuroprotective BDNF/TrkB/CREB signaling pathway. In the future, it is necessary to further determine the pharmacodynamic components, key targets and specific molecular mechanisms of AEO’s antidepressant effects so as to provide more support for the neuroprotective research of medicinal plants.
Chemical Profiling and In Vitro Evaluation of Bioactive Properties of Evernia prunastri Extract: Implications for Therapeutic Applications
Authors: Stojković Dejan , Živković Jelena , Bolevich Stefani , Bolevich Sergey , Zengin Gokhan , Gašić Uroš , Soković Marina
Published: February 2025

Evernia prunastri (L.) Ach. (Parmeliaceae), an edible lichen commonly known as oakmoss, was traditionally used by Egyptians to make bread. In this study, the ethyl-acetate (EtOAc) extract of E. prunastri was investigated for its potential therapeutic applications in diabetes mellitus, Alzheimer’s and Parkinson’s diseases, oxidative stress, and bacterial infections. The extract exhibited significant in vitro enzyme inhibition activities, including anti-amylase and anti-glucosidase activities linked to diabetes and anti-cholinesterase and anti-tyrosinase activities associated with Alzheimer’s and Parkinson’s diseases. The antioxidant activity was evaluated through multiple assays, including free radical scavenging (DPPH and ABTS), reducing power (CUPRAC and FRAP), metal chelation, and phosphomolybdenum methods, demonstrating strong oxidative stress relief potential. The antibacterial properties were also confirmed through antibacterial testing, showing efficacy against a range of bacterial strains. Total phenolic and flavonoid contents were quantified, while the chemical profile of the EtOAc extract was determined by LC-HRMS/MS analysis. The chemical composition was predominantly characterized by depsides (evernic acid and atranorin), phenolic acids (orsellinic acid), and dibenzofurans, revealing a diverse array of bioactive secondary metabolites. The extract demonstrated a broad spectrum of biological activities, including enzyme inhibition, antioxidant effects, and antibacterial properties. This study highlights the potential of E. prunastri as a functional food, providing a rich source of bioactive compounds with numerous health-promoting effects, and it suggests its relevance in therapeutic applications for chronic diseases such as diabetes, Alzheimer’s, and bacterial infections.
Assessment of the Influence of Antisolvent 3D Printing Conditions on the Mechanical and Biological Properties of Poly(lactic-co-glycolic) Acid Scaffolds
Authors: Mironov Anton V. , Trifanova Ekaterina M. , Bukharova Tatyana B. , Vasilyev Andrey V. , Chernomyrdina Viktoria O. , Nedorubova Irina A. , Kuznetsova Valeriya S. , Dunaev Andrey G. , Popov Vladimir K. , Kulakov Anatoly A. , Losev Fedor F. , Goldshtein Dmitry V.
Published: February 2025

This paper describes an evaluation of the mechanical and biological properties of highly porous, biocompatible poly(lactic-co-glycolic acid) (PLGA) scaffolds produced using the antisolvent 3D printing technique under various forming conditions. The dependence of the scaffolds’ microstructure, PLGA molecular weight distribution, and cell adhesion properties on temperature and injection nozzle diameter was evaluated. All samples consisted of fibers with different inner polymer distributions formed by specific radial, highly porous structures with a mean pore length of less than 50 μm and a diameter below 10 μm. The microstructure formed using a nozzle with a diameter of 160 μm showed a moderate correlation with printing temperature, while for the 330 μm nozzle, there was no significant difference in microstructures formed at different temperatures. Scaffolds produced at lower temperatures of 4 °C with a thin nozzle showed better compression load characteristics in terms of strength. In contrast, a larger nozzle allowed the production of a PLGA structure with improved elasticity. A 10–17% change in the molecular weight of PLGA was observed during printing, but no influence on biological properties was found. All types of PLGA scaffolds tested demonstrated good biocompatibility and promoted cell adhesion compared to the control.
Optimal Scheduling of Integrated Energy System Based on Carbon Capture–Power to Gas Combined Low-Carbon Operation
Authors: Sun Shumin , Xing Jiawei , Cheng Yan , Yu Peng , Wang Yuejiao , Yang Song , Ai Qian
Published: February 2025

In this paper, an IES optimal cooperative scheduling method based on a master–slave game is proposed considering a carbon emission trading (CET) and carbon capture system (CCS) combined operation with power to gas (P2G). We analysed the behaviour of integrated energy system operators (IESO) and energy suppliers (ES) when the system is operating in different states. This paper first introduces the structure of IES and the mathematical model of the game frame. Secondly, mixed integer linear programming and particle swarm optimization (MILP–PSO) are used. The final simulation results show that in the main scenario, IESO and ES have an income of CNY 181,900 and CNY 279,400, respectively, and the actual carbon emission is 106.75 tons. The overall income is balanced, and the carbon emission is in the middle. The results provide a reference value for operators and users to make decisions.
Assessing the Transferability of Models for Predicting Foliar Nutrient Concentrations Across Maize Cultivars
Authors: Shen Jian , Huang Yurong , Chen Wenqian , Li Mengjun , Tan Wei , Wang Ronghui , Deng Yujia , Gong Yingting , Ai Shaoying , Liu Nanfeng
Published: February 2025

Fresh sweet and waxy maize (Zea mays) are valuable specialty crops in southern China. Hyperspectral remote sensing offers a powerful tool for detecting maize foliar nutrients non-destructively. This study aims to investigate the capability of leaf spectroscopy (SVC HR-1024i spectrometer, wavelength range: 400–2500 nm) to retrieve maize foliar nutrients. Specifically, we (1) explored the effects of nitrogen application rates (0, 150, 225, 300, and 450 kg·N·ha−1), maize cultivars (GLT-27 and TGN-932), and growth stages (third leaf (vegetation V3), stem elongation stage (vegetation V6), silking stage (reproductive R2), and milk stage (reproductive R3)) on foliar nutrients (nitrogen, phosphorus, and carbon) and leaf spectra; (2) evaluated the transferability of the regression and physical models in retrieving foliar nutrients across maize cultivars. We found that the PLSR (partial least squares regression), SVR (support vector machine regression), and RFR (random forest regression) regression model accuracies were fair within a specific cultivar, with the highest R2 of 0.60 and the lowest NRMSE (normalized RMSE = RMSE/(Max − Min)) of 17% for nitrogen, R2 of 0.19 and NRMSE of 21% for phosphorous, and R2 of 0.45 and NRMSE of 19% for carbon. However, when these cultivar-specific models were used to predict foliar nitrogen across cultivars, lower R2 and higher NRMSE values were observed. For the physical model, which does not rely on the dataset, the R2 and NRMSE for foliar chlorophyll-a and -b (Cab), carotenoid (Cxc), and equivalent water thickness (EWT) were 0.76 and 15%, 0.67 and 34%, and 0.47 and 21%, respectively. However, the prediction accuracy for foliar nitrogen, expressed as foliar protein in PROSPECT-PRO, was lower, with an R2 of 0.22 and NRMSE of 27%, which was comparable to that of the regression models. The primary reasons for this limited transferability were attributed to (1) the insufficient number of samples and (2) the lack of strong absorption features for foliar nutrients within the 400–2500 nm wavelength range and the confounding effects of other foliar biochemicals with strong absorption features. Future efforts are needed to investigate the physical mechanisms underlying hyperspectral remote sensing of foliar nutrients and incorporate transfer learning techniques into foliar nutrient models.
From Data to Insights: Modeling Urban Land Surface Temperature Using Geospatial Analysis and Interpretable Machine Learning
Authors: Hoang Nhat-Duc , Tran Van-Duc , Huynh Thanh-Canh
Published: February 2025

This study introduces an innovative machine learning method to model the spatial variation of land surface temperature (LST) with a focus on the urban center of Da Nang, Vietnam. Light Gradient Boosting Machine (LightGBM), support vector machine, random forest, and Deep Neural Network are employed to establish functional relationships between urban LST and its influencing factors. The machine learning approaches are trained and validated using remote sensing data from 2014, 2019, and 2024. Various explanatory variables representing topographical and spatial characteristics, as well as urban landscapes, are used. Experimental results show that LightGBM outperforms other benchmark methods. In addition, Shapley Additive Explanations are utilized to clarify the impact of the factors affecting LST. The analysis outcomes indicate that while the importance of these variables changes over time, urban density and greenspace density consistently emerge as the most influential factors. LightGBM attained R2 values of 0.85, 0.92, and 0.91 for the years 2014, 2019, and 2024, respectively. The findings of this work can be helpful for deeper understanding of urban heat stress dynamics and facilitate urban planning.
Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV
Authors: Peng Cheng , Qiao Guanyu , Ge Bing
Published: February 2025

Unknown variables in the environment, such as wind disturbance during a flight, affect the accurate trajectory of multi-rotor UAVs. This study focuses on the intelligent supervisory neurocontrol of trajectory tracking for a nonplanar twelve-rotor UAV to address this issue. Firstly, a twelve-rotor UAV is developed with a nonplanar structure, which makes up for the defects of conventional multi-rotors with weak yaw movement. A characteristic model of the twelve-rotor UAV is devised so as to facilitate intelligent controller design without losing model information. For the purpose of achieving accurate and fast trajectory tracking and strong self-learning ability, an intelligent composite controller combining adaptive sliding-mode feedback control and dynamic cascade spiking neural network (DCSNN) supervisory feedforward control is proposed. The novel dynamic cascade network structure is constructed to better adapt to changing data and unstable environments. The weight learning algorithm and dynamic cascade structure learning algorithm work together to ensure network stability and robustness. Finally, comparative numerical simulations and twelve-rotor UAV prototype experiments verify the superior tracking control performance, even outdoors with wind disturbances.
Multi-Mode Hand Gesture-Based VR Locomotion Technique for Intuitive Telemanipulation Viewpoint Control in Tightly Arranged Logistic Environments
Authors: Jeong Jaehoon , Choi Haegyeom , Lee Donghun
Published: February 2025

Telemanipulation-based object-side picking with a suction gripper often faces challenges such as occlusion of the target object or the gripper and the need for precise alignment between the suction cup and the object’s surface. These issues can significantly affect task success rates in logistics environments. To address these problems, this study proposes a multi-mode hand gesture-based virtual reality (VR) locomotion method to enable intuitive and precise viewpoint control. The system utilizes a head-mounted display (HMD) camera to capture hand skeleton data, which a multi-layer perceptron (MLP) model processes. The model classifies gestures into three modes: translation, rotation, and fixed, corresponding to fist, pointing, and unknown gestures, respectively. Translation mode moves the viewpoint based on the wrist’s displacement, rotation mode adjusts the viewpoint’s angle based on the wrist’s angular displacement, and fixed mode stabilizes the viewpoint when gestures are ambiguous. A dataset of 4312 frames was used for training and validation, with 666 frames for testing. The MLP model achieved a classification accuracy of 98.4%, with precision, recall, and F1-score exceeding 0.98. These results demonstrate the system’s ability to address the challenges of telemanipulation tasks by enabling accurate gesture recognition and seamless mode transitions.
Addressing Soil Fertility Challenges in Arid Agriculture: A Two-Year Evaluation of Combined Soil Organic Amendments Under Saline Irrigation
Authors: Oueriemmi Houda , Zoghlami Rahma Inès , Le Guyader Elie , Mekki Fatma , Suidi Yosra , Bennour Ali , Moussa Mohamed , Sbih Mahtali , Saidi Sarra , Morvan Xavier , Ouessar Mohamed
Published: February 2025

Background: Soil salinity poses a significant threat to agricultural lands by adversely affecting soil properties, crop productivity, and, consequently, global food security. This study evaluated the effects of date palm waste compost (C), applied alone or combined with biochar (BCC) or Ramial chipped wood (RCWC), on soil properties and barley yield under arid and saline conditions. Methods: A field experiment was performed in a completely random design with three replications. In addition to the unamended soil (control), treatments with compost (C), biochar + compost (BCC) and Ramial chipped wood + compost (RCWC) were tested. We monitored soil physico-chemical parameters, straw biomass, grain yield, and soluble sugar levels over two crop seasons. Results: All treatments enhanced soil fertility. However, the sodium adsorption ratio (SAR) and the cation ratio of soil structural stability (CROSS) increased in soils amended with compost alone in the second crop year. Barley (Hordeum vulgare L.) cultivated in soil amended with C and BCC produced 28% and 37% more dry biomass, respectively, in the second year, while no significant effects were observed in the first year. This may be attributed to the higher availability of nutrient content (N and P) in soils during the second year. In the first year, plants amended with BCC exhibited the highest accumulation of sucrose and fructose, with increases of up to 39% and 66%, respectively. Conclusions: Compost application did not affect barley yield during the first crop year, highlighting limited effects on soil fertility. However, C and BCC improved barley yield in the second year after application. No synergistic effect was observed between biochar, Ramial chipped wood, and compost. Future Perspective: Further studies should focus on the long-term effects of organic soil management, including salinity issues, to support sustainable agriculture in arid regions.
A Novel Sensitivity Analysis Framework for Quantifying Permafrost Impacts on Runoff Variability in the Yangtze River Source Region
Authors: Chang Jiaxuan , Sang Xuefeng , Zhang Yun , Jia Yangwen , Qu Junlin , Zheng Yang , Ding Haokai
Published: February 2025

In the context of global climate change, understanding cryosphere degradation and its impact on water resources in alpine regions is crucial for sustainable development. This study investigates the relationship between permafrost degradation and runoff variations in the Source Region of the Yangtze River (SRYR), a critical water tower for sustainable water supply in Asia. We propose a novel method for assessing permafrost sensitivity, which establishes the correlation between cryosphere changes and hydrological responses, contributing to sustainable water resource management. Our research quantifies key uncertainties in runoff change attribution, providing essential data for sustainable decision making. Results show that changes in watershed characteristics account for up to 20% of runoff variation, with permafrost degradation (−0.02 sensitivity) demonstrating a greater influence than NDVI variations. The findings offer critical insights for the development of sustainable adaptation strategies, particularly in maintaining ecosystem services and ensuring long-term water security under changing climate conditions. This study offers a scientific basis for climate-resilient water management policies in high-altitude regions.
The Impact of Undertaking Industrial Relocation on Green Innovation Efficiency in the Yellow River Basin: A Two-Stage Analysis from an Innovation Value Chain Perspective
Authors: Mao Jinhuang , Liu Yang
Published: February 2025

As an important economic and ecological barrier in China, the Yellow River Basin faces dual challenges of an excessive environmental burden and insufficient innovation efficiency during the process of industrial relocation. This paper divides green innovation into two stages: technological R&D and commercialization, and employs a two-stage data envelopment analysis model to measure the green innovation efficiency of 64 cities in the Yellow River Basin’s urban agglomerations from 2004 to 2021. The results indicate that undertaking regional industrial relocation has a positive impact on green innovation efficiency, but while boosting the efficiency of commercialization, it negatively affects R&D efficiency, leading to an imbalance in green innovation development. Industrial relocation mainly exerts heterogeneous effects on each stage of green innovation efficiency by hindering industrial upgrading, generating dispersive effects, and creating technological spillover effects. Meanwhile, infrastructure development and intellectual property protection play a moderating role. This study provides valuable insights for promoting high-quality development and sustainable green innovation in the Yellow River Basin.
Strengthening the Adoption of Copernicus Services in Latin America: Capacity Building Experiences in Ecuador and Bolivia
Authors: Santos Fabián , Di Lucchio Luisa , Barrera Manuel Múgica
Published: February 2025

The Copernicus program, an initiative by the European Union, offers open-access Earth observation data and high-level products through its services. However, these services are less well known in Latin America, underscoring the need to strengthen capacity-building efforts. In this context, this research examines the design and implementation of training workshops in Ecuador and panel discussions in Bolivia, focusing on the role of Copernicus Services in addressing regional challenges related to Environmental, Food Security, Climate Change, Security, and Risk Management through geospatial technologies. By tailoring training sessions in Ecuador to enhance stakeholders’ capabilities and conducting panel discussions in Bolivia to promote these services among public entities, this research highlights the successes and challenges of these initiatives. We emphasize the importance of flexible event design, alignment with local contexts, and the integration of interactive methodologies to enhance stakeholder engagement and learning outcomes. Additionally, differences and similarities between the event formats are discussed in terms of purposes and objectives, audience engagement, content delivery, attendance, and post-event outcomes. Finally, we outline the convergences and divergences in strategic priorities for future Copernicus Services training initiatives in both countries.
Carbon-Negative Organic Beef Production: Upcycling Food Processing By-Products and Food Leftovers
Authors: Tsutsumi Michio , Aoyama Jiro , Hanzawa Takashi
Published: February 2025

A substantial amount of food processing by-products and food leftovers are managed as waste, while conventional beef production in Japan relies heavily on imported concentrate feed, leading to considerable environmental impacts. Hanzawa Ranch in Kushiro, Hokkaido, Japan, is a pioneering organic beef farm that utilizes only food processing by-products and food leftovers alongside farm-grown organic forage. This study conducted a life cycle assessment to evaluate the environmental impacts of organic beef production at Hanzawa Ranch (Hanzawa system) compared to the conventional Japanese beef production method. The objective was to determine the extent to which environmental load was reduced by using upcycled feed from food processing by-products and food leftovers. The system boundaries included feed production, transportation, processing, animal management, enteric fermentation, excreta, and its management. Additionally, the analysis for the Hanzawa system included the impacts of landfill avoidance by upcycling food processing by-products and food leftovers into feed. The functional unit was 1 kg of cold beef steer carcass. The assessment focused on contributions to climate change, acidification, eutrophication, and energy consumption. The environmental impacts of the Hanzawa system were 174%, 45%, 20%, and 80% lower for climate change, acidification, eutrophication, and energy consumption, respectively, compared to the conventional Japanese beef production system. The greenhouse gas emissions of the Hanzawa system were negative, attributed to the substantial benefits of diverting food processing by-products and food leftovers from landfill management by upcycling them into feed. Moreover, as no additional processing was required for upcycling in the Hanzawa system, this approach further reduced the environmental impacts of feed production across all assessed categories. Consequently, we conclude that carbon-negative beef can be produced using upcycled feed. Our findings suggest that livestock production plays a crucial role in advancing a circular bioeconomy and contributing to sustainable development.
Current Development of Therapeutic Vaccines in Lung Cancer
Authors: Flores Banda Jesus Salvador , Gangane Sanjana , Raza Fatima , Massarelli Erminia
Published: February 2025

Cancer vaccines have a potential to change the current landscape of immunotherapy research and development. They target and neutralize specific tumor cells by utilizing the body’s own immune system which offers a promising modality in treating various cancers including lung cancer. Historically, prior vaccination approaches specifically towards lung cancer have posed several challenges but also potential with early phase I/II trials showing improved overall survival. With better understanding of the body’s immune system as well as advancements in vaccine development, the use of vaccines to target lung cancer cells in both non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) has shown promise but also challenges in the setting of advanced stage cancers, tumor resistance mechanisms, immune evasion, and tumor heterogeneity. The proposed solution is to enroll patients in the early stages of the disease, rather than waiting until progression occurs. Additionally, future efforts will focus on the targeted identification of specific and novel tumor neo-antigens. This review offers discussion and analysis of both completed and ongoing trials utilizing different strategies for vaccine development in relation to treating lung cancer as well as current challenges faced.
Generation of Vaccine Candidate Strains That Antigenically Match Classical Swine Fever Virus Field Strains
Authors: Kobayashi Maya , Huynh Loc Tan , Ogino Saho , Hew Lim Yik , Koyasu Miki , Kamata Hikaru , Hiono Takahiro , Isoda Norikazu , Sakoda Yoshihiro
Published: February 2025

Background: Classical swine fever virus (CSFV) is genetically categorized into three genotypes. A live-attenuated vaccine strain GPE−, currently used in Japan, belongs to genotype 1 and is genetically distinct from the field strains circulating in Japan, which belong to genotype 2. This study aimed to understand the antigenicity of recent field isolates in Japan and develop new vaccine candidates that antigenically match field strains. Methods: The serum samples of 20 pigs vaccinated with GPE− were subjected to a serum neutralizing test (SNT) using one of the field strains, CSFV/wb/Jpn-Mie/P96/2019 (Mie/2019). For the antigenic matching, vGPE−/HiBiT/Mie E2 was generated by replacing the viral glycoprotein E2, the main target of the neutralizing antibody, with that of Mie/2019. Additionally, vGPE−/HiBiT/Mie E2/PAPeV Erns was generated by further substituting glycoprotein Erns with that of pronghorn antelope pestivirus (PAPeV) since Erns is not important as a vaccine immunogen and can be replaced by that of other pestiviruses to provide an immunological marker. The efficacy of vGPE−/HiBiT/Mie E2/PAPeV Erns was further evaluated by the challenge experiments in pigs. Results: The SNT titers of serum sample against Mie/2019 were 6.1-fold lower than that against vGPE−. The generated recombinant viruses showed closer antigenicity to Mie/2019 than vGPE−. The challenge study confirmed that vGPE−/HiBiT/Mie E2/PAPeV Erns provided clinical and virological protection against a field CSFV equivalent to vGPE−. Conclusions: This study demonstrated that swapping the E2 encoding region with the prevalent field CSFVs is a promising strategy to achieve antigenic matching between the vaccine and field strains.
Current State of Lake Kotokel (Eastern Cisbaikalia, Russia): Hydrochemical Characteristics, Water Quality, and Trophic Status
Authors: Shiretorova Valentina G. , Nikitina Elena P. , Bazarsadueva Selmeg V. , Taraskin Vasilii V. , Budaeva Olga D. , Nimbueva Nadezhda B. , Shirapova Galina S. , Pintaeva Evgeniya Ts. , Zhigzhitzhapova Svetlana V. , Radnaeva Larisa D. , Garmaev Endon Zh.
Published: February 2025

Lake Kotokel, the largest lake on the eastern shore of Lake Baikal, has historically served as an important fishery and recreational resource. However, it underwent an ecological crisis and a Haff disease outbreak in 2008–2009. Hydraulic engineering interventions were subsequently implemented, and the lake was closed to tourism and fishing for an extended period. This study provides the first comprehensive analysis of Lake Kotokel’s water level fluctuations from 1985 to 2022 and evaluates hydrochemical data collected between 2015 and 2024. A comparative assessment of the seasonal variability in Lake Kotokel’s condition during 2023–2024 and 2008–2009 was conducted using various water quality indices, including the Russian Specific Combinatorial Water Pollution Index (SCWPI) and Basic Anthropogenic Load Index (ALI), as well as the international National Sanitation Foundation Water Quality Index (NSF-WQI) and Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI). Trophic state indices, such as Carlson’s Trophic State Index (CTSI) and the Trophic Index (TRIX), were also applied. The analysis revealed a seasonal decline in water quality, transitioning from pure (“excellent”) and “light eutrophic” index classifications in spring to polluted (“marginal”) and “hypertrophic” index classifications in summer and autumn. This study demonstrated that a combination of unfavorable factors, including significant lake-level fluctuations, prolonged high temperatures during the vegetative period, and the discharge of fracture-vein waters, led to a sharp decline in water quality and an increase in the lake’s trophic status. Elevated levels of iron, manganese, COD, pH, and ammonium detected in water samples in 2024, alongside incidents of fry mortality in spring and summer and intense algal blooms, raise concerns as they may signal a potential recurrence of Haff disease in the lake.
Assessment of the Effects and Contributions of Natural and Human Factors on the Nutrient Status of Typical Lakes and Reservoirs in the Yangtze River Basin
Authors: Zeng Yangbo , Wang Ziteng , Zhao Qianyu , Huang Nannan , Li Jiayue , Wang Jie , Sun Fuhong
Published: February 2025

This study investigated the relative contributions of natural and anthropogenic factors to the nutrient status of 33 representative lakes and reservoirs in the Yangtze River Basin. Using national water quality monitoring data, remote sensing imagery, Geographic Information System, (GIS), Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and Redundancy Analysis (RDA), we analyzed the Spatiotemporal differences of total nitrogen (TN), total phosphorus (TP), the ratio of TN to TP (TN/TP), trophic level index (TLI), and habitat quality (HQ). Results revealed significant spatial heterogeneity in lake nutrient status, with upstream reservoirs exhibiting better water quality than their midstream and downstream counterparts. Over time, there is a decreasing trend in nutrient loads in lakes and reservoirs, yet the risk of eutrophication remains high. The middle and lower reaches of lakes and reservoirs face more severe eutrophication pressure. The contribution rates of natural factors and human activities to TN and TP in lakes and reservoirs are 19.1% and 35.0%, respectively. The main driving factors are livestock and poultry breeding volume, habitat quality, and urbanization, with contribution rates of 13.0%, 9.8%, and 0.2%, respectively. The contribution rates of natural factors and human activities to TN/TP and TLI of lakes and reservoirs are 19.8% and 15.5%, respectively. Actual Evapotranspiration (7.8%), habitat quality (7.3%), and hydraulic retention time (3.1%) were key drivers for the shifts of TN/TP and TLI. Management strategies should therefore control agricultural nitrogen fertilizer inputs upstream, industrial and agricultural non-point source pollution in the midstream, and enhanced wastewater treatment alongside population density and economic development control in the downstream areas. This research provides a crucial scientific basis for the ecological environment protection and sustainable utilization of water resources in the Yangtze River Basin.
Art Heals: The Role of Art Therapy in the Modern World
Authors:   journalist, Moscow, Vorobyova Natalya
Published: February 2025

Art therapy is a type of psychotherapy, a creative process that uses various artistic methods
to express feelings, emotions, and experiences. Art therapy especially helps people
who find it difficult to express their emotional state in everyday life, to talk about their
feelings, about what worries and disturbs them. It helps to realize their internal state, to
understand what a person is really experiencing, what worries them, what they do not dare
to talk about.
Presence of Salmonella spp., Listeria monocytogenes and Staphylococcus aureus in halloumi sold in Northern Cyprus
Authors: Işın Mahan Fatma , Ulusoy Beyza Hatice , Kaya Yıldırım Fatma , Hecer Canan
Published: February 2025

Halloumi is an important part of the Cyprus dairy sector and consumed by a large volume of public. The microbiologic safety of the cheese is important in terms of public health. In this study, the presence of Salmonella spp., Listeria monocytogenes and Staphylococcus aureus on 1072 samples that collected for two years, their distribution according to the seasons and the effect of the seasons on the microbial load were investigated. As the result of the study, Salmonella spp. and L. monocytogenes could not be detected in any of the halloumi samples, while S. aureus was detected. It was determined that 39 (3.64%) of the halloumi samples contained S. aureus above 1x103 cfu/g, 43 of them between 1x101 and 1x103 cfu/g, and 990 of them below 1x101 cfu/g. It has been observed that the most intense contamination above 1x103 cfu/g is formed in the spring season. In order to eliminate the food safety problem caused by S. aureus, first of all, the development of good manufacturing practices in farms, making the cold milk application cover all farms should be provided. On the other hand, within the framework of food safety from farm to fork, the end-product should be delivered to the consumer without breaking the cold chain.
VISUALIZATION OF MEDICAL IMAGES IN THE DIAGNOSIS OF KIDNEY PATHOLOGY AND UROLITHIASIS
Authors: Zueva L.F. , Simonov K.V. , Kruglyakov A.S.
Published: February 2025

The study is devoted to the development of methods for analysis and visualization of medical images when solving diagnostic problems of urolithiasis based on modern tools and computer technologies. The use of modern methods of processing and analyzing visual data based on the shearlet transform significantly improves the results of diagnosis and treatment of patients with urolithiasis. This is due to the clarification of prognostic criteria (localization, size, structure, density of the stone, functional state of the upper urinary tract, etc.) in the preoperative period. The use of the developed computational technique as an effective support for texture analysis methods of CT images allows us to detail the indications and predict the effectiveness of various treatment approaches in urology. The experimental material presented in the work shows that the shearlet transform is an effective tool for analyzing the internal geometric features of the studied objects of interest on CT images which uses anisotropic and directional window functions when solving clinical and experimental problems. The computational technique of texture (geometric) analysis and visualization of CT images has shown its effectiveness by providing the ability to select basic shearlet transform algorithms which make it possible to increase the accuracy of identifying linear and circular structures as well as the visual quality of images of the studied clinical objects by 10-15%.
Analisis Kelayakan Usaha Pada Unit Usaha Simpan Pinjam Di Desa Induk Kecamatan Bantan Kabupaten Bengkalis
Authors: Maharani Desy , Sri Wahyuni Endang
Published: February 2025

This study aims to analyze the business feasibility of the Unit Usaha Simpan Pinjam (USP) in Induk Village, Bantan District, Bengkalis Regency, with a focus on assessing the potential for reinvestment from a financial and non-financial perspective. The research method used is a qualitative approach, with primary and secondary data collection through a purposive sampling technique that targets USPs with high capital. The investment feasibility analysis was conducted by reviewing non-financial aspects, including legal, socioeconomic and environmental aspects, market and marketing, and management and human resources. Financial aspects were analyzed using investment evaluation tools such as Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period (PP), and Profitability Index (PI). The results showed that the USP in Desa Induk is feasible from both non-financial and financial aspects. The positive NPV, PI of more than 1, and reasonable PP indicate that the investment is profitable. However, the IRR of only 11% is still below the Minimum Acceptable Rate of Return (MARR) of 13.25%, indicating a need to improve operational efficiency. Nonetheless, the main objective of the USP development focuses more on improving the economic welfare of village communities rather than solely achieving financial returns.The USP development strategy includes a sustainable approach that is oriented towards improving the welfare of the villagers.
Analisis Strategi Pemerintah Desa Dalam Pencapaian Sustainable Development Goals (Sdgs) Desa Di Kecamatan Rupat
Authors: Aryani  , Sri Wahyuni Endang
Published: February 2025

This study analyzes village government strategies in achieving the Sustainable Development Goals (SDGs) in Rupat District, focusing on villages Teluk Lecah and Pancur Jaya. The aim of this research is to evaluate the adjustment of programs, strategies, challenges, and recommendations for these villages in achieving the SDGs. The method used is qualitative with data collection techniques through observation, interviews, and documentation. The results show that the strategies implemented by the village government include infrastructure improvement, local economic development, and social programs. However, this implementation of these strategies still faces various challenges, such as limitations in human resources (HR) and finances, as well as a lack of coordination and community participation. The recommendations proposed include enhancing HR capacity, strengthening coordination between governments, increasing community participation, allocating adequate budgets, and systematic monitoring and evaluation. This research provides a comprehensive overview of the efforts, challenges, and strategies that need to be considered by the village government in Rupat District in achieving sustainable development goals.
ẢNH HƯỞNG CỦA BỘT TẢO (Spirulina platensis) LÊN TĂNG TRƯỞNG, HIỆU QUẢ SỬ DỤNG THỨC ĂN VÀ MÀU SẮC CƠ THỂ TÔM THẺ CHÂN TRẮNG (Litopenaeus vannamei)
Authors: Trần Thị Lan Phương  , Dương Thị Thu Quyên
Published: February 2025

Nghiên cứu sử dụng bột tảo Spirulina làm thức ăn cho tôm thẻ chân trắng (L. vannamei) (6,05 g/con). Để đánh giá ảnh hưởngcủa thức ăn lên sinh trưởng và sắc tố cơ thể, hai thí nghiệm đã được bố trí thực hiện. Ở thí nghiệm 1, tôm thẻ chân trắng được nuôi trong bể 500 L với 350 L nước 16,5±1,5 ppt có sục khí. Thí nghiệm được bố trí ngẫu nhiên với ba lần lặp lại. Tôm nuôi 70 con/bể trong 60 ngày. Các nghiệm thức gồm nghiệm thức 100% bột cá (đối chứng) và nghiệm thức bổ sung 10% tảo trong thức ăn. Kết quả nghiên cứu cho thấy việc bổ sung 10% Spirulina vào thức ăn giúp tôm cải thiện được tăng trưởng, hiệu quả sử dụng thức ăn và sắc tố cơ thể. Thí nghiệm 2 được thực hiện để đánh giá thời gian sử dụng tảo trong thức ăn lên màu sắc tôm. Tôm (L. vanameii) (0,45 g) được bố trí 90 con vào bể 0,5 m3 trong 02 tháng và cho ăn thức ăn viên (45% Cp). Quá trình bố trí nuôi và cho ăn như thí nghiệm 1. Sau đó, nghiên cứu phối trộn thêm 10% tảo Spirulia và cho tôm ăn trong ba tuần. Kết quả cho thấy việc bổ sung 10% tảo vào thức ăn trong 21 ngày giúp khắc phục hiện tượng nhạt màu trên tôm. Các thí nghiệm cho thấy tảo Spirulina mang lại lợi ích cả về dinhdưỡng và màu sắt cho tôm nuôi.
Machine Learning Approaches for Depression Detection on Social Media: A Systematic Review of Biases and Methodological Challenges.
Authors: Cao Yuchen , Dai Jianglai , Wang Zhongyan , Zhang Yeyubei , Shen Xiaorui , Liu Yunchong , Tian Yexin
Published: February 2025

The global rise in depression necessitates innovative detection methods for early intervention. Social media provides a unique opportunity to identify depression through user-generated posts. This systematic review evaluates machine learning (ML) models for depression detection on social media, focusing on biases and methodological challenges throughout the ML lifecycle. A search of PubMed, IEEE Xplore, and Google Scholar identified 47 relevant studies published after 2010. The Prediction model Risk Of Bias ASsessment Tool (PROBAST) was utilized to assess methodological quality and risk of bias. Significant biases impacting model reliability and generalizability were found. There is a predominant reliance on Twitter (63.8%) and English-language content (over 90%), with most studies focusing on users from the United States and Europe. Non-probability sampling methods (approximately 80%) limit representativeness. Only 23% of studies explicitly addressed linguistic nuances like negations, crucial for accurate sentiment analysis. Inconsistent hyperparameter tuning was observed, with only 27.7% properly tuning models. About 17% did not adequately partition data into training, validation, and test sets, risking overfitting. While 74.5% used appropriate evaluation metrics for imbalanced data, others relied on accuracy without addressing class imbalance, potentially skewing results. Reporting transparency varied, often lacking critical methodological details. These findings highlight the need to diversify data sources, standardize preprocessing protocols, ensure consistent model development practices, address class imbalance, and enhance reporting transparency. By overcoming these challenges, future research can develop more robust and generalizable ML models for depression detection on social media, contributing to improved mental health outcomes globally.
Bartleby
Authors: Augustyniak Piotr
Published: February 2025

Tekst stanowi interpretację noweli Hermana Melville’a Kopista Bartleby. Historia z Wall Street. Celem nie jest tu jednak sama wykładnia noweli, ale poprzez nią ekspozycja i problematyzacja społeczno-ontologicznej struktury dzisiejszego świata, której dominantą jest kapitalizm. Nowela Melville’a, czytana przez pryzmat wybranych idei filozoficznych, pozwala w sposób inspirujący pokazać jego istotę, a zarazem dramatyzm sytuacji kogoś, kto zdecyduje się z niego wyłamać. Z lekcji Melville’a wynika, że nie wystarczy tu polityczno-społeczne działanie. To, co pozwala wyrwać się spod władania kapitalizmu, ociera się o samounicestwienie i wymaga sięgnięcia do metafizycznych fundamentów świata i naszej w nim egzystencji.
EFEKTIVITAS PROGRAM KELUARGA HARAPAN DI DESA WADUNGASIH KECAMATAN BUDURAN KABUPATEN SIDOARJO
Authors: Reni Allysa Putri Faradina  , Lailul Mursyidah
Published: February 2025

The following study aims to describe and evaluate the Effectiveness of the Family Hope Program in Wadungasih Village. This study uses a qualitative descriptive method with data collection techniques through observation, interviews, and documentation studies. The informants were selected by purposive sampling, consisting of Beneficiary Families (KPM) and PKH Companions of Wadungasih Village as those responsible for the Family Hope Program. The informant selection technique used in the following research is purposive sampling, namely technique. The data analysis model used is the Miles Huberman analysis model (1984) which includes data collection, data reduction, data presentation, and conclusion. The results of the study indicate that the effectiveness of the Family Hope program in Wadungasih Village, Buduran District, Sidoarjo Regency has not fully achieved its goals because, in the implementation of the Family Hope Program, the Apparatus is still unable to implement the program properly in understanding the program—inaccuracy of targets in receiving PKH assistance. PKH Companions still have several obstacles that prevent them from achieving these goals. This makes the effectiveness of the family hope program in Wadungasih Village not yet effective.
Un attentato attenta solo alla vita di qualcuno?
Authors: Di Carlo Miriam
Published: February 2025

Alcuni lettori ci chiedono perché il sostantivo attentato, nonostante etimologicamente indichi il solo tentativo di recare danno a qualcuno o a qualcosa, possa riferirsi a un crimine effettivamente realizzato.
Analisis Faktor-Faktor Yang Mempengaruhi Kepuasan Konsumen Minuman Kopi Di Tomoro Coffee
Authors: Andini Nanda , Ana Nurmalia  , Yossie Yumiati
Published: February 2025

Tren nongkrong dikedai kopi membuat bisnis kedai kopi memiliki kemajuan yang sangat pesat. Tomoro Coffee yang terletak di Padang Jati, Kota Bengkulu menjadi salah satu kedai kopi yang populer dengan menawarkan minuman kopi yang dapat menyesuaikan kebutuhan pecinta kopi. Tujuan dari penelitian ini adalah untuk mengidentifikasi faktor-faktor yang mempengaruhi kepuasan konsumen terhadap minuman kopi Tomoro Padang Jati, Kota Bengkulu. Metode penelitian yang digunakan adalah metode deskriptif kuantitatif dan regresi linear berganda. Penentuan sampel menggunakan teknik purposive sampling dengan metode standar eror untuk proporsi atau presentase Hasil penelitian menunjukkan bahwa secara parsial terdapat pengaruh positif dan signifikan dari variabel kualitas produk, harga, citra merek dan inovasi produk terhadap kepuasan konsumen pada minuman Kopi Tomoro Coffee Padang Jati, Kota Bengkulu. Maka dapat disimpulkan kualitas produk, harga, citra merek dan inovasi produk pada Kopi Tomoro Coffee Padang Jati, Kota Bengkulu terbukti dapat meningkatkan kepuasan konsumen. Secara parsial tidak terdapat pengaruh positif dan signifikan dari variabel kualitas pelayanan dan emosional terhadap kepuasan konsumen pada minuman Kopi Tomoro Coffee Padang Jati, Kota Bengkulu. Maka dapat disimpulkan bahwa variabel kualitas pelayanan dan emosional tidak mempengaruhi kepuasan konsumen secara langsung. Dengan Adjusted R Square (R2 ) sebesar 0,645 atau 64,5%, penelitian ini menegaskan pentingnya variabel-variabel tersebut dalam meningkatkan kepuasan pelanggan di Tomoro Coffee Padang Jati, Kota Bengkulu.
Nilai Tambah Pengolahan Kopi Biji Salak Sebagai Alternatif Pangan Fungsional Di Desa Harapan Kabupaten Bengkulu Tengah
Authors: Kurniati Novitri , Mutmainnah Elni , Wahyuni Selvi
Published: February 2025

Salak yang banyak yang dimanfaatkan adalah daging buah   yang dijadikan berbagai jenis kuliner makanan  dan kulit salak dijadikan  pupuk,  sedangkan  biji salak pada kualifikasi tertentu dijadikan sebagai bibit dan sisanya di buang dan tidak ada pengolahan lanjut.
Usaha V- Rini di Desa Harapan Kecamatan Pondok Kelapa Kabupaten Bengkulu Tengah Provinsi Bengkulu memanfaatkan biji salak menjadi produk yang memiliki nilai jual cukup tinggi  dengan cara mengolah biji salak menjadi bubuk kopi salak.  Penelitian ini bertujuan untuk menganalisis nilai tambah yang diperoleh dari pengolahan biji salak menjadi bubuk kopi salak.  Metode penelitian menggunakan studi kasus pada usaha V-Rini Kabupaten Bengkulu Tengah. Teknik analisis data menggunakan  metode nilai tambah Hayami. Hasil penelitian menunjukkan bahwa nilai tambah pengolahan  kopi biji salak  sebesar Rp 57.738,014/kg dengan rasio nilai tambah kopi  biji salak sebesar 83,2%.
Kata Kunci : Nilai Tambah,  Kopi Biji Salak