bluuebunny/crossref_metadata_2025 huggingface dataset:
Multimodal Data Fusion for Precise Lettuce Phenotype Estimation Using Deep Learning Algorithms
Authors: Hou Lixin , Zhu Yuxia , Wang Mengke , Wei Ning , Dong Jiachi , Tao Yaodong , Zhou Jing , Zhang Jian
Published: November 2024

Effective lettuce cultivation requires precise monitoring of growth characteristics, quality assessment, and optimal harvest timing. In a recent study, a deep learning model based on multimodal data fusion was developed to estimate lettuce phenotypic traits accurately. A dual-modal network combining RGB and depth images was designed using an open lettuce dataset. The network incorporated both a feature correction module and a feature fusion module, significantly enhancing the performance in object detection, segmentation, and trait estimation. The model demonstrated high accuracy in estimating key traits, including fresh weight (fw), dry weight (dw), plant height (h), canopy diameter (d), and leaf area (la), achieving an R2 of 0.9732 for fresh weight. Robustness and accuracy were further validated through 5-fold cross-validation, offering a promising approach for future crop phenotyping.
Chemical Composition, In Silico Investigations and Evaluation of Antifungal, Antibacterial, Insecticidal and Repellent Activities of Eucalyptus camaldulensis Dehn. Leaf Essential Oil from ALGERIA
Authors: Barboucha Ghozlane , Rahim Noureddine , Boulebd Houssem , Bramki Amina , Andolfi Anna , Salvatore Maria Michela , Masi Marco
Published: November 2024

This study investigated the phytochemical profile and evaluated the antimicrobial and insecticidal properties of Eucalyptus camaldulensis Dehn. essential oil (EC-EO) from Algeria, using in vitro and in silico approaches. The yield of EC-EO was 0.27%, with gas chromatography-mass spectrometry (GC-MS) revealing spathulenol (58.24%), cryptone (17.22%), and o-cymene (15.53%) as the major compounds. EC-EO exhibited notable antibacterial activity, particularly against Salmonella typhimurium (14 ± 1.00 mm) and Staphylococcus aureus (14.5 ± 0.50 mm). It also showed effective antifungal activity against Penicillium sp. (11.5 ± 0.49 mm), Candida albicans (11.2 ± 0.29 mm), and Aspergillus fumigatus (9.8 ± 0.27 mm). Insecticidal assays against Tribolium castaneum were conducted using contact toxicity, fumigation toxicity, and repellent activity methods. The median lethal concentration (LC50) for contact toxicity was 0.011 μL/insect after 72 h, while the fumigation test had an LC50 of 122.29 μL/L air. Repellent activity tests showed percentage repellency (PR) values exceeding 80% after 6 h. The molecular geometry and electronic properties of the main compounds were studied using density functional theory (DFT) calculations. In addition, the interaction mode and binding affinity of these molecules with three key enzymes involved in antimicrobial activity, DNA gyrase, dihydrofolate reductase (DHFR) and Tyrosyl-tRNA synthetase (TyrRS), were explored by molecular docking.
Beyond Essential Oils: Diterpenes, Lignans, and Biflavonoids from Juniperus communis L. as a Source of Multi-Target Lead Compounds
Authors: Jojić Alina Arabela , Liga Sergio , Uţu Diana , Ruse Graţiana , Suciu Liana , Motoc Andrei , Şoica Codruța Marinela , Tchiakpe-Antal Diana-Simona
Published: November 2024

Common Juniper (Juniperus communis L.) is a gymnosperm that stands out through its fleshy, spherical female cones, often termed simply “berries”. The cone berries and various vegetative parts (leaves, twigs and even roots) are used in traditional phytotherapy, based on the beneficial effects exerted by a variety of secondary metabolites. While the volatile compounds of Juniperus communis are known for their aromatic properties and have been well-researched for their antimicrobial effects, this review shifts focus to non-volatile secondary metabolites—specifically diterpenes, lignans, and biflavonoids. These compounds are of significant biomedical interest due to their notable pharmacological activities, including antioxidant, anti-inflammatory, antimicrobial, and anticancer effects. The aim of this review is to offer an up-to-date account of chemical composition of Juniperus communis and related species, with a primary emphasis on the bioactivities of diterpenes, lignans, and biflavonoids. By examining recent preclinical and clinical data, this work assesses the therapeutic potential of these metabolites and their mechanisms of action, underscoring their value in developing new therapeutic options. Additionally, this review addresses the pharmacological efficacy and possible therapeutic applications of Juniperus communis in treating various human diseases, thus supporting its potential role in evidence-based phytotherapy.
Genetic Basis of Tillering Angle from Other Plants to Wheat: Current Progress and Future Perspectives
Authors: Chen Xiaohong , Lei Tingshu , Yan Yuming , Sun Mengyu , Zhong Tao , Wu Baolin , Liu Hanxi , Zhang Chao , Sun Fengli , Xi Yajun
Published: November 2024

Plant architecture is an important agronomic trait that impacts crop yield. The tiller angle is a critical aspect of the plant’s structural organization, which is influenced by both internal and external factors. The genetic mechanisms underlying the tiller angle have been extensively investigated in other plants. However, research on wheat is relatively limited. Additionally, mechanics has emerged as a connection between biochemical signaling and the development of three-dimensional biological forms. It not only reveals how physical interactions at the cellular level influence overall morphogenesis but also elucidates the interplay between these mechanical processes and molecular signaling pathways that collectively determine plant morphology. This review examines the recent advancements in the study of tillering angle in wheat and other plants. It discusses progress in research ranging from observable characteristics to the regulation of genes, as well as the physiological and biochemical aspects, and the adaptability to environmental factors. In addition, this review also discusses the effects of mechanical on plant growth and development, and provides ideas for the study of mechanical regulation mechanism of tillering angle in wheat. Consequently, based on the research of other plants and combined with the genetic and mechanical principles, this approach offers novel insights and methodologies for studying tillering in wheat. This interdisciplinary research framework not only enhances our understanding of the mechanisms underlying wheat growth and development but may also uncover the critical factors that regulate tillering angle, thereby providing a scientific foundation for improving wheat yield and adaptability.
Comprehensive Investigation of Epoxy Adhesives for Structural Applications in Saudi Arabia: Mechanical Performance, Environmental Impacts, and Analysis on Health
Authors: Almutairi Ahmed D.
Published: November 2024

Epoxy adhesives possess excellent mechanical properties, durability, and stability in harsh environments, making them suitable for producing engineering materials. This study selects four commercially available epoxy adhesives in Saudi Arabia: Epotec YD 128; Sikadur®-52 LP; Sikadur®-31 CF; and Sikadur®-42 MP Slow. Firstly, a comparison of their storage, application, and service temperatures was made, detailing the hazard identification and prevention measures established in accordance with the Occupational Safety and Health Administration (OSHA) guidelines. Subsequently, test samples of the four adhesives were produced, and tensile, compressive, and shear tests were conducted to compare their fundamental mechanical properties. Finally, a gas analyzer assessed the major harmful gases emitted by these epoxy adhesives 120 min after mixing the epoxy resins and curing agents. The results show that Sika 42 exhibits the highest tensile and compressive strengths among other types of adhesives, reaching 75.7 MPa and 133.8 MPa, respectively. It also has the longest pot life of 48 min at elevated temperatures (40 °C), making it suitable for the climatic conditions in Saudi Arabia. However, as a three-component adhesive, its application is complex and associated with the most identified hazards. Sika 31 presents a tensile modulus of up to 10.4 GPa, at least 3.8 times higher than the other adhesives, making it practical for controlling tensile deformation. Additionally, its ultimate shear strain reaches 10.7%, at least 6.6 times higher than the other samples, highlighting its suitability for constructing ductile bonds. After mixing of epoxy resins with curing agents, the presence of NO2 and SO2 were detected. However, no harmful gases were detected after 120 min, possibly due to the complete curing of the adhesives.
A Two-Way Street: How Are Yeasts Impacted by Pesticides and How Can They Help Solve Agrochemical Contamination Problems?
Authors: Pritsch Eduardo J. P. , Schutz Danielli , de Oliveira Camila G. , Camargo Aline F. , Cabrera Liziara C. , dos Santos Angela A. , Mossi Altemir J. , Treichel Helen , Alves Sérgio L.
Published: November 2024

Plant-associated yeasts play significant ecological roles within the microbiomes of soils and pollinating insects. In previous studies, we have shown that yeasts can assist pollinators in locating nectar, which is crucial for their nutrition and the reproduction of many angiosperms. Additionally, in soil, yeasts can also act as plant growth promoters. Given the importance of yeasts for plant development, this review first explores the biochemical processes underlying the ecological role of these microorganisms in soil, insects, and in direct association with plants. Based on this premise, we discuss the influence of these relationships on agricultural production, the biological mechanisms through which pesticides negatively affect yeast cells, and how these microorganisms can tolerate widely used agrochemicals. Finally, we address key studies in the literature that support the potential of these microorganisms as bioremediation agents. In this context, we emphasize different experiences with both indigenous and genetically engineered yeasts, which may display enzymes in their surfaces that convert pesticides into less harmful or nontoxic molecules. Our review indicates that yeasts can be effectively harnessed in organic agriculture to promote plant growth and bioremediate contaminated soil or food.
Research on Well Selection Method for Intermittent Pumping in Oil Wells Based on the Analytic Network Process and Fuzzy Logic
Authors: He Yanfeng , Xu Shilin , Wang Xiang , Wang Rongrong , Chu Xianxiang
Published: November 2024

In the later stages of oilfield development, the decline in oil well production and the increase in development costs, attributed to issues such as insufficient liquid supply, necessitate the implementation of intermittent pumping measures. However, current methods for selecting these wells lack comprehensiveness in the decision-making process. This article proposes a novel method for selecting intermittent pumping wells utilizing the analytic network process (ANP) and fuzzy logic. Initial surveys identified the main factors influencing intermittent pumping effectiveness. The ANP was employed to screen and integrate six core factors, including submergence depth and water cut. Subsequently, a fuzzy-logic-based model was developed, incorporating trapezoidal and rectangular membership functions to establish detailed correlations among the factors. The model’s efficacy was validated and tested using real-world data from the oilfield. Results indicate that the model’s assessments of intermittent pumping wells align closely with professional engineering judgments. This approach not only provides clear guidance for well selection but also demonstrates high scalability and adaptability across different oilfields by adjusting membership functions, thereby showcasing significant practical value.
Dry Cold Forging of High Strength AISI316 Wires by Massively Nitrogen Supersaturated CoCrMo Dies
Authors: Aizawa Tatsuhiko , Fukuda Tatsuya , Shiratori Tomomi
Published: November 2024

The plasma immersion nitriding system was utilized to make massive nitrogen supersaturation (MNS) to CoCrMo disc and die substrates at 723 K for 21.6 ks. The top layer thickness in the multi-layered MNSed layer was 20 μm. Its nitrogen solute content reached 5 mass% on average after SEM-EDX analysis. The surface hardness was 1300 HV1N (HV0.1), which was much higher than the bare CoCrMo with 450 HV1N. The original polycrystalline structure was modified to be a multi-layered microstructure, which consisted of the nanograined MNSed top layer, the buffer layer with a thickness of 5 μm, and the column–granular structured layer with their textured crystallographic orientations. The BOD (ball-on-disc) testing was employed to describe the frictional sliding behavior under the applied loads of 5 N and 10 N and the sliding velocity of 0.1 m/s against the AISI316 ball. The friction coefficient was held constant by 0.68 on average. The CNC (Computer Numerical Control) stamping system was employed to upset the fine-grained 1.0 mm thick AISI316 wire up to 70% in reduction in thickness. The friction coefficient at RT was estimated to be 0.05. A round, fine-grained AISI316 wire was shaped into a thin plate with a thickness of 0.3 mm in cold and dry.
Dynamic Response Control Strategy for Parallel Hybrid Ships Based on PMP-HMPC
Authors: Song Enzhe , Liu Zhijiang , Yao Chong , Sun Xiaojun , Yang Xuchang , Bao Minghui
Published: November 2024

With increasingly stringent emission regulations, various clean fuel engines, electric propulsion systems, and renewable energy sources have been demonstratively applied in marine power systems. The development of control strategies that can effectively and efficiently coordinate the operation of multiple energy sources has become a key research focus. This study uses a modular modeling method to establish a system simulation model for a parallel hybrid ship with a natural gas engine (NGE) as the prime mover, and designs an energy management control strategy that can run in real time. The strategy is based on Pontryagin’s minimum principle (PMP) for power allocation, and is supplemented by a hybrid model predictive control (HMPC) method for speed-tracking control of the power system. Finally, the designed strategy is evaluated. Through simulation and hardware-in-the-loop (HIL) experimental validation, results compared with the Rule-based strategy indicate that under the given conditions, the SOC final value deviation from the initial value is reduced from 11.5% (in the reference strategy) to 0.39%. The system speed error integral is significantly lower at 39.06, compared to 2264.67 in the reference strategy. While gas consumption increased slightly by 2.4%, emissions were reduced by 3.2%.
Analytical Assessment of the Quality of Dietary Supplements and Cosmetic Products Containing Xanthohumol by Thin-Layer Chromatography Along with the Estimation of Its Antioxidant Potential
Authors: Dymek Iwona , Apola Anna , Żandarek Joanna , Starek Małgorzata , Dąbrowska Monika
Published: November 2024

Xanthohumol, a prenylated chalcone in the flavonoid group, naturally occurs in many plants and exhibits antioxidant, anticancer, anti-inflammatory, antibacterial, and antiviral effects. The growing interest in xanthohumol due to its potential therapeutic properties has led to the increase in the pool of products available on the market. The novelty of this study is the proposal of a rapid and cost-effective procedure useful for performing quality control on products containing xanthohumol in the form of dietary supplements and cosmetics as well as testing their stability. For this purpose, the thin-layer chromatography method with densitometric detection was used, which was validated in accordance with ICH (International Conference on Harmonization) guidelines. The mobile phase was toluene, 1,4-dioxane, and glacial acetic acid (37:10:1.5 v/v/v), and TLC silica gel 60 F254 plates were used as the stationary phase. The validation process assessed linearity, with a correlation coefficient (r) of 0.9987. The calculated LOD (limit of detection) and LOQ (limit of quantification) values were 3.82 and 11.57 ng/spot, respectively. Accuracy was evaluated by determining percentage recovery at three concentration levels (80, 100, and 120%), with an average recovery of 100% and RSD below 1%, confirming good accuracy. Precision was indicated by an RSD of less than 2.20%. The average content of xanthohumol in dietary supplements ranged from about 8 to 29% of the content declared by the manufacturers. The stability tests showed that XN decomposes most slowly in water (t0.5 = 10.86 h) compared with acidic (t0.5 = 10.80 h) and alkaline solutions (t0.5 = 7.39 h), as well as in the presence of an oxidizing agent (t0.5 = 18.38 h), at all tested temperatures, which is confirmed by the calculated kinetic parameters. In the tests of antioxidant capacity, xanthohumol shows significantly higher radical scavenging capacity than vitamin C in the entire range of analyzed concentrations (0.03–2.40 mmol/L).
Application of an Improved State Feedback Control in the Selective Catalytic Reduction Denitrification Systems of Coal Power Units Under Variable Load Conditions
Authors: Cao Xiguo , Zhang Yongtao , Hu Heng , Fan Xiaochao , Jiang Jiading
Published: November 2024

Selective catalytic reduction (SCR) flue gas denitrification systems are inherently complex, typically embodying characteristics of non-linearity, significant time delays, and susceptibility to multiple disturbances. In the context of coal power units engaging in deep load cycling and rapid frequency adjustment, conventional proportional-integral-derivative (PID) control struggles to meet the demands of effective control. This study introduces a control strategy that incorporates a “state observer + Linear Quadratic Regulator (LQR) state feedback + Improved Quantum Genetic Algorithm (IQGA) optimized PID”. Initially, local linear mathematical models of an SCR denitrification system at 340 MW, 450 MW, and 540 MW loads were used to design state observer and LQR state feedback control parameters for each operational condition. At a single load point, the IQGA was employed to optimize the outer loop PID parameters, followed by simulation experiments of load increases and decreases between 340 MW and 540 MW. The results demonstrated that, compared to two other strategies, the proposed approach reduced the overshoot by a minimum of 1.5% and shortened the adjustment time by 31.7% under conditions of step disturbances and internal perturbations. Throughout variable operational conditions, the strategy consistently exhibited minimal output fluctuations, rapid adjustment capabilities, strong disturbance rejection, and robust stability. This algorithm proves to be an effective method for controlling NOx concentrations, offering insights for precise ammonia injection control in future applications.
A Model-Driven Approach to Extract Multi-Source Fault Features of a Screw Pump
Authors: Wen Weigang , Qin Jingqi , Xu Xiangru , Mi Kaifu , Zhou Meng
Published: November 2024

Screw pumps’ faulty working conditions affect the stability of oil production. At project sites, different sensors are used simultaneously to collect multi-dimensional signals; the data fault labels and location are not clear, and how to comprehensively use multi-source information in effective fault feature extraction has become an urgent issue. Existing diagnostic methods use a single signal or part of a signal and do not fully utilize the acquired signal, which makes it difficult to achieve the required accuracy of diagnostic results. This paper focuses on the model-driven approach to extract multi-source fault features of screw pumps. Firstly, it constructs a fault data model (FDM) by analyzing the fault mechanism of the screw pump. Secondly, it uses the FDM to select an effective data set. Thirdly, it constructs a multi-dimensional fault feature extraction model (MDFEM) to extract featured signal features and data features, for which we also comprehensively used multi-source signals in effective fault feature extraction, while other traditional methods only use one or two signals. Finally, after feature selection, unsupervised fault diagnosis was achieved by using the k-means method. After experimental verification, the method can comprehensively use multi-source information to construct an effective data set and extract multi-dimensional, effective fault features for screw pump fault diagnosis.
Control the Working Process of the Rotor System with Tilting Pad Bearing
Authors: Čereška Audrius
Published: November 2024

Various processes take place in rotor systems with tilting pad bearings. It is important not only to control but also to manage these processes. Due to the instability of the oil film layer in a bearing with inclined pads, oil whirl/whip can occur. Such whirl/whip destabilize the operation of the rotor system. Additional elastic elements between the tilt pads suppress oil whirl/whip and thus reduce rotor vibration excitation. By identifying the working zones of such bearings where oil whirl and whip occur, the problems of rotor rotation instability can be solved. In order to determine the effectiveness of the elastic elements between the tilting pads, research was conducted. A special stand with diagnostic equipment was used for the tests. The clearance between the rotor and the bearing was 50 μm. During the research, the rotor rotation speed was varied from 0 to 5000 rpm. After conducting the research, stable and unstable rotor working zones were determined (Zone I: 0 to 1938 rpm; Zone II: 1938–3923 rpm; Zone III: 3923–5000 rpm). Based on the obtained research results, it is possible to control the working process of the rotor system.
Production, Characterization and Application of Biosurfactant for Cleaning Cotton Fabric and Removing Oil from Contaminated Sand
Authors: Silva Renata R. , Caldas Maria C. F. , Lima Carlos V. A. , Meira Hugo M. , Sarubbo Leonie A. , Luna Juliana M.
Published: November 2024

Biosurfactants are a group of environmentally friendly amphiphilic molecules that are applicable in numerous industries as essential biotechnology products, such as food production, cleaning products, pharmacology, cosmetics, pesticides, textiles and oil and gas fields. In this sense, and knowing the potential of these biomolecules, the aim of this work was to produce a biosurfactant, characterize it regarding its chemical and surfactant properties and investigate its potential in the removal of contaminants and in the cleaning of cotton fabrics. The biosurfactant was initially obtained from the cultivation of the microorganism Candida glabrata UCP 1002 in medium containing distilled water with 2.5% residual frying oil, 2.5% molasses and 2.5% corn steep liquor agitated at 200 rpm for 144 h. The biosurfactant reduced the surface tension of water from 72 to 29 mN/m. The toxicity potential of the biosurfactant was evaluated using Tenebrio molitor larvae and demonstrated non-toxicity. The biosurfactant was applied as a degreaser of engine oil on cotton fabric, and showed 83% (2× CMC), 74% (1× CMC) and 78% (1/2× CMC) oil removal. Therefore, the biosurfactant produced in this work has promising surfactant and emulsifying properties with potential for application in various industrial segments.
The Heteropolyacid-Catalyzed Conversion of Biomass Saccharides into High-Added-Value Products and Biofuels
Authors: Silva Márcio Jose da , da Silva Andrade Pedro Henrique
Published: November 2024

The industrial processes used to produce paper and cellulose generate many lignocellulosic residues. These residues are usually burned to produce heat to supply the energy demands of other processes, increasing greenhouse gas emissions and resulting in a high environmental impact. Instead of burning these lignocellulosic residues, they can be converted into saccharides, which are feedstock for high-value products and biofuels. Keggin heteropolyacids are efficient catalysts for obtaining saccharides from cellulose and hemicellulose and converting them into bioproducts or biofuel. Furfural, 5-hydroxymethylfurfural, levulinic acid, and alkyl levulinates are important platform molecules obtained from saccharides and raw materials in the biorefinery processes used to produce fine chemicals and biofuels. This review discusses the significant progress achieved in the development of the processes based on heteropolyacid-catalyzed reactions to convert biomass and their residues into furfural, 5-hydroxymethylfurfural, levulinic acid, and alkyl levulinates in homogeneous and heterogeneous reaction conditions. The different modifications that can be performed to a Keggin HPA structure, such as the replacement of the central atom (P or Si) with B or Al, the doping of the heteropolyanion with metal cations, and a proton exchange with metal or organic cations, as well as their impact on the catalytic activity of HPAs, are detailed and discussed herein.
The Ascorbic Acid-Modified Fenton System for the Degradation of Bisphenol A: Kinetics, Parameters, and Mechanism
Authors: Wu Yanlin , Gu Jiawei , Fang Zhongyi , Shan Yuang , Guan Jie
Published: November 2024

Bisphenol A (BPA) has been extensively used in the commercial production, especially the production of plastic products. It has endocrine-disrupting effects and poses potential risks to health, which is also related to the development of various diseases. Nevertheless, using conventional biological treatment techniques has proved challenging in fully breaking down this particular hazardous substance. The degradation ability of the target substance was explored by investigating the effect of an ascorbic acid (Vc)-modified Fenton-like system. The results showed that the degradation rate of the modified system reached 74.6% after 20 min, which was much higher than the 9.1% degradation rate without Vc. Under different ratios of Vc and Fe(III), when the ratios were 1:1 and 1/2:1, the reaction efficiency was the best, and the degradation rate exceeded 83%. When pH = 6.5 and the ratio of Vc to Fe(III) was 1:1, the optimal conditions were achieved, and 83.5% of the BPA could be degraded within 60 min. The results of the quenching experiment provided evidence that •OH was the main reactive oxidizing species (ROS). Analysis of the BPA degradation pathway and the product toxicity evaluation revealed a reduction in the acute/chronic toxicity of BPA from toxic/very toxic to non-harmful/harmful levels. The presented evidence demonstrates that Vc significantly enhances the performance of the modified Fenton-like system and has definite potential for application.
An Intelligent Kick Detection Model for Large-Hole Ultra-Deep Wells in the Sichuan Basin
Authors: Wang Xudong , Wu Pengcheng , Chen Ye , Zhang Ergang , Ye Xiaoke , Huang Qi , Peng Chi , Fu Jianhong
Published: November 2024

The Sichuan Basin has abundant deep and ultra-deep natural gas resources, making it a primary target for exploration and the development of China’s oil and gas industry. However, during the drilling of ultra-deep wells in the Sichuan Basin, complex geological conditions frequently lead to gas kicks, posing significant challenges to well control and safety. Compared to traditional kick detection methods, artificial intelligence technology can improve the accuracy and timeliness of kick detection. However, there are limited real-world kick data available from drilling operations, and the datasets are extremely imbalanced, making it difficult to train intelligent models with sufficient accuracy and generalization capabilities. To address this issue, this paper proposes a kick data augmentation method based on a time-series generative adversarial network (TimeGAN). This method generates synthetic kick samples from real datasets and then employs a long short-term memory (LSTM) neural network to extract multivariate time-series features of surface drilling parameters. A multilayer perceptron (MLP) network is used for data classification tasks, constructing an intelligent kick detection model. Using real drilling data from ultra-deep wells in the SY block of the Sichuan Basin, the effects of k-fold cross-validation, data dimensionality, various imbalanced data handling techniques, and the sample imbalance ratio on the model’s kick detection performance are analyzed. Ablation experiments are also conducted to assess the contribution of each module in identifying kick. The results show that TimeGAN outperforms other imbalanced data handling techniques. The accuracy, recall, precision, and F1-score of the kick identification model are highest when the sample imbalance ratio is at 1 but decrease as the imbalance ratio increases. This indicates that maintaining a balance between positive and negative samples is essential for training a reliable intelligent kick detection model. The trained model is applied during the drilling of seven ultra-deep wells in Sichuan, demonstrating its effectiveness and accuracy in real-world kick detection.
Growth Optimizer Algorithm for Economic Load Dispatch Problem: Analysis and Evaluation
Authors: Shaban Ahmed Ewis , Ismaeel Alaa A. K. , Farhan Ahmed , Said Mokhtar , El-Rifaie Ali M.
Published: November 2024

The Growth Optimizer algorithm (GO) is a novel metaheuristic that draws inspiration from people’s learning and introspection processes as they progress through society. Economic Load Dispatch (ELD), one of the primary problems in the power system, is resolved by the GO. To assess GO’s dependability, its performance is contrasted with a number of methods. These techniques include the Rime-ice algorithm (RIME), Grey Wolf Optimizer (GWO), Elephant Herding Optimization (EHO), and Tunicate Swarm Algorithm (TSA). Also, the GO algorithm has the competition of other literature techniques such as Monarch butterfly optimization (MBO), the Sine Cosine algorithm (SCA), the chimp optimization algorithm (ChOA), the moth search algorithm (MSA), and the snow ablation algorithm (SAO). Six units for the ELD problem at a 1000 MW load, ten units for the ELD problem at a 2000 MW load, and twenty units for the ELD problem at a 3000 MW load are the cases employed in this work. The standard deviation, minimum fitness function, and maximum mean values are measured for 30 different runs in order to evaluate all methods. Using the GO approach, the ideal power mismatch values of 3.82627263206814 × 10−12, 0.0000622209480241054, and 5.5893360695336 × 10−7 were found for six, ten, and twenty generator units, respectively. The GO’s dominance over all other algorithms is demonstrated by the results produced for the ELD scenarios.
False-Positive Malaria Rapid Diagnostic Test Likely Due to African Tick Bite Fever: A Case Report
Authors: Zewude Rahel T. , Ahmad Syed Zain , Joseph Tom , Boggild Andrea K.
Published: November 2024

Background and Clinical Significance: Fever in the returning traveler is a medical emergency warranting prompt exclusion of potentially life-threatening infections such as malaria. Case Presentation: We describe a case of a febrile returned traveler to South Africa whose prompt initial diagnostic work-up was notable for a false-positive malaria rapid diagnostic test (RDT), and who nevertheless responded quickly to oral atovaquone-proguanil, despite an ultimate diagnosis of African tick bite fever. Subsequent RDT and malaria thick- and thin-film blood examination failed to corroborate a diagnosis of malaria and all other microbiological testing other than rickettsial serology remained non-contributory. Conclusions: The case presented highlights important points regarding diagnostic test performance characteristics and premature diagnostic closure.
The Development of a High-Throughput Homonuclear Decoupling HSQC NMR Platform for the Determination of 10 Sex Hormones in Animal-Source Food and Medicines
Authors: Wang Bing , Liu Qing-Zhi , Yang Jing-Ya , Du Yu-Jie , Liu Nai-Shuo , Cui Wei-Liang , Yuan Man , Zhang Yong , Wang Jing-Qi , Wang Dong-Liang , Wang Shu-Qi
Published: November 2024

Owing to their endocrine disruption effect, the hormone levels in animal-source food and medicines need to be efficiently and accurately quantified by a reliable analytical method. In the current study, by using a homonuclear decoupling and heteronuclear single quantum correlation (HSQC) experiment, coupled with non-uniform sampling (NUS) that was used to shorten the experimental time, we developed a method to quantify 10 hormone residues in animal-source products. This method was validated following the guidelines of USP–NF 2022. The application of the homonuclear decoupling (HD) technique to conventional HSQC yielded 2D spectra that exhibited excellent signal separation and specificity. For all the tested hormones, good linearity with correlation coefficients of more than 0.99 was observed in the linear range of 0.2–6 mg/0.6 mL. Satisfactory precision and recoveries of spiked animal samples were also obtained. Finally, the method was applied in residue determination of 10 hormones in real animal-source samples at the ug/g level.
Injuries in Female Futsal Players: A Systematic Review
Authors: Fernández-Galván Luis Miguel , Hernández Santana Carlos , López-Nuevo Carlos , Sánchez-Infante Jorge
Published: November 2024

Background: Injuries represent one of the most challenging scenarios for both athletes and teams. The aim of this systematic review was to examine the incidence and epidemiological data of injuries in female futsal players. Methods: A systematic search was conducted using PubMed, Scopus, SportDiscus, and Web of Science databases, and subsequently, nine studies were selected. Results: The most frequently damaged area is the ankle (28.15%), followed by the thigh (19.99%), knee (18.41%), and groin (17.26%), according to an analysis of nine studies, seven of which included data on professional futsal players and four of which included amateurs. Elite (28.62%) and amateur futsal players (27.06%) experience ankle injuries almost equally, whereas amateurs suffer thigh injuries (29.41%) far more often than elite athletes (13.71%). The most common injuries are strains (27.05%) and sprains (40.6%), with amateurs suffering from sprains more frequently (51%) than elite athletes (36.44%) and elite athletes suffering from strains more frequently (29.4%) than amateurs (20%). Conclusions: Ankle injuries are the most prevalent in female futsal players, with amateurs particularly prone to sprains. Based on these results, professionals in this field may identify injury patterns that could guide future prevention efforts specifically tailored to female futsal players.
Advancing Sustainable Agriculture: Potential of Life Story Strategies of Solitary and Gregarious Microgastrinae Parasitoids (Hymenoptera: Braconidae) to Enhance Biological Control
Authors: Žikić Vladimir , Fernández-Triana José L. , Trajković Aleksandra , Lazarević Maja
Published: November 2024

The life history strategies of solitary and gregarious Microgastrinae parasitoids are both valued for their potential in biological control, but they have rarely been directly compared to fully understand their roles in integrated pest management (IPM) programs. This paper provides a detailed comparison of these two strategies, focusing on critical traits, such as host specialisation, mating behaviour, and the mechanisms used to overcome host immune defences. Instead of treating these strategies holistically, the study isolates and examines each trait while also identifying synergistic interactions and their underlying causes. Key IPM success factors, including parasitism efficiency, host acceptance, and susceptibility to natural enemies, are defined to assess the effectiveness of each strategy. The results show that while gregarious parasitoids tend to have broader host ranges and higher fecundity, solitary parasitoids offer greater host specificity and reduced vulnerability to predators. Despite both strategies receiving similar overall performance scores, this study identifies monophagy as a particularly significant factor, offering insight into why some IPM programs succeed more effectively than others under seemingly identical environmental conditions. This study highlights host specificity and ecological adaptability as essential for effective, sustainable pest management, supporting the integration of both parasitoid types to enhance IPM efficacy.
Beyond Numbers: Challenges in Measuring SDG4 Targets—Serbia’s Perspective
Authors: Matović Stefana , Demirović Bajrami Dunja , Gajić Tamara , Lakić Milica , Martinov Darko , Šuput Srđan , Radosavac Adriana , Đervida Ružica
Published: November 2024

Achieving the targets and indicators outlined in Sustainable Development Goal 4 (SDG 4) presents significant global challenges, particularly in countries like Serbia, where diverse socio-economic contexts and policy planning shape educational outcomes. SDG4 focuses on providing inclusive and fair access to quality education for everyone and encourages lifelong learning opportunities for people of all ages. It comprises ten specific targets. This paper focuses on the complexities and challenges associated with measuring five of these targets, which were not analyzed in Serbia’s official report on SDGs. By using Serbia as a case study, the paper systematically examines national policies, educational data, and assessment frameworks, identifying persistent barriers that impede progress toward the SDG4 objectives. A comparative analysis was conducted to better understand Serbia’s progress in achieving these targets. This analysis compares Serbia’s performance with that of neighboring countries in the region as well as with more developed nations. Methodological limitations in data collection and monitoring further complicate efforts to accurately assess SDG 4 indicators. Through specific examples of non-measurable indicators, the paper illustrates these challenges and explores potential strategies for improving measurement accuracy and policy effectiveness. By evaluating Serbia’s experience, this study offers insights that are valuable for finding ways to start measuring targets that currently lack data, considering the close deadline for achieving the goals.
The Impact of Business Model Sustainability on the Financial Performance of Ukraine’s Leading Companies Before the Military Conflict
Authors: Pimenow Sergiusz , Pimenowa Olena , Prus Piotr
Published: November 2024

With today’s global challenges such as geopolitical instability, environmental threats and social crises, corporate sustainability and transparency are becoming key elements of efficient governance. This study aims to examine the impact of the sustainability of business models of the largest Ukrainian enterprises on their financial results in the period before the military conflict started. This study tested the hypothesis that in the Ukrainian context, corporate sustainability and transparency have an insignificant positive impact on the efficiency of the implementation of business models of enterprises. The author’s methodology made it possible to assess the sustainability of the business models of 40 enterprises by calculating an integral indicator for 21 areas with significant ESG issues and classify enterprises according to the levels of sustainability and efficiency of their business models using a specially developed scale. Correlation and regression analyses were used to quantify the degree of influence of corporate sustainability and transparency. The results of the analyses demonstrated a weak positive correlation between financial results and sustainability and transparency indicators, which emphasizes the need to develop a unified methodology to assess corporate sustainability for Ukrainian enterprises that can be adapted for countries with transition economies and similar political landscapes. This study makes a theoretical contribution by proposing an approach to assessing corporate sustainability based on integral indicators. This article is of interest to stakeholders involved in sustainable development, outlines directions for further research to support socially responsible business practices of enterprises, and emphasizes the need for further empirical research on factors affecting corporate sustainability and transparency.
Self-Assessment Guide to Quality in Accessible Virtual Education: An Expert Validation
Authors: Timbi-Sisalima Cristian , Sánchez-Gordón Mary , Otón-Tortosa Salvador , Mendoza-González Ricardo
Published: November 2024

The evaluation of quality in education has gained greater relevance, especially after the COVID-19 pandemic, which enhanced virtual learning and further highlighted the need for inclusive, equitable, and quality education in line with SDG 4. It has become indispensable to have evaluation models and tools supported by empirical validation to ensure their applicability and reliability in diverse educational contexts. This study addresses this need by validating a self-assessment guide designed to evaluate the quality of virtual education from an accessibility perspective. The validation process involved three phases: a preliminary phase with 4 experts to identify areas for improvement in the structure, clarity, and relevance of the content; an extended phase with 20 experts to evaluate reliability and validity; and a pilot study implemented in four higher-education institutions to verify the guide’s applicability in real environments. Reliability and validity were assessed using standard psychometric techniques, confirming high internal consistency and content validity, although some areas required clarity adjustments. The findings indicate that this guide can serve as a robust tool for institutions aiming to advance accessible and high-quality virtual education, directly supporting SDG 4’s commitment to inclusive education.
Factors Influencing the Sustainability of Food Tourism Destinations: Evidence from the World Heritage Site of Guilin
Authors: Long Biyue , Yusof Noor Suhaila , Azmy Muna Maryam
Published: November 2024

This study examines the sustainability factors critical to developing food tourism within World Heritage Sites (WHSs), leveraging the unique natural, social, and cultural resources inherent to these locations. Using Guilin as a case study, this quantitative research collects data from diverse stakeholders, including catering operators, government officials, service providers, tourists, and residents. Critical factors identified as essential for sustaining food tourism include destination marketing, visitor experience, destination image, stakeholder engagement, core food products, and government support, with destination marketing emerging as the most influential. This study proposes a framework of sustainability factors shaping food tourism development in WHSs. The findings challenge the traditional reliance on physical resources for WHS tourism, broaden understanding of food tourism in these heritage sites, and offer strategic insights for comparable destinations in Southeast Asia.
From Conventional to Organic Agriculture: Influencing Factors and Reasons for Tea Farmers’ Adoption of Organic Farming in Pu’er City
Authors: Li Hao , Yang Shuqi , Yan Juping , Gao Wangsheng , Cui Jixiao , Chen Yuanquan
Published: November 2024

As the global pursuit of sustainable agricultural practices continues, organic farming is gaining increasing attention. In Pu’er, one of China’s major tea-producing regions, the factors influencing tea farmers’ willingness to adopt organic agriculture have not yet been fully studied. This study integrates the diffusion of innovations theory and the theory of planned behavior, using field surveys to thoroughly analyze the key factors and reasons affecting tea farmers in Pu’er in adopting organic farming practices. The findings indicate that perceptions of the economic benefits of organic farming are the primary drivers of farmers’ willingness to adopt. Experience with organic agriculture training and positive views on environmental and health benefits also significantly enhance the willingness to adopt organic farming. Contrary to common assumptions, education level, age, and household income have minimal influence on adoption willingness. However, low-income families that rely on tea cultivation are more inclined to adopt organic farming. Policymakers should prioritize economic incentives, strengthen training support, and enhance the promotion of the benefits of organic agriculture, while simplifying certification processes and expanding market channels to facilitate the transition of tea farmers to organic agriculture. This study offers insights into the sustainable tea industry and organic farming promotion.
Anticipatory Thinking as a Key Competence in Management for Sustainability: The Results of Research Among Polish Teenagers
Authors: Mróz Anna , Ocetkiewicz Iwona
Published: November 2024

It seems that the need to change the existing lifestyle of contemporary societies has never been more urgent. According to experts, the optimal model of sustainable development assumes that change can occur if the global society obtains and develops competencies defined as key to sustainable development. These competencies include anticipatory thinking, which allows us to envisage the results of our decisions and actions from multiple perspectives. Anticipatory thinking is extremely important at many levels in the context of sustainable management, including human resource management, economic management, environmental management, and natural resource management. This paper attempts to answer the question about the level of anticipatory thinking declared by Polish students living in rural and urban areas. This study was conducted among 877 students aged 13–20 years from the Małopolska region (southern Poland). A correlational research design was adopted, in which the method used was a survey, and the technique was a self-assessment test. We investigated which selected sociodemographic characteristics of the teenage respondents were related to a high, moderate, or low level of anticipatory thinking. Girls showed a lower level of anticipatory thinking, whereas age and education level were not significantly correlated with the level of this competence.
Latest Research on the Theme of “Sustainability, Challenges, and Opportunities to Optimize Building Performance”
Authors: Amirkhani Mehdi , Martek Igor
Published: November 2024

In the face of escalating climate change, rapid urbanization, and dwindling natural resources, the imperative for sustainable practices within the construction and architectural sectors has never been more critical [...]
Impact of Regional Disparities in Social Capital and Its Components on Quality of Life
Authors: Murgaš František , Tirpáková Anna , Petrovič František
Published: November 2024

According to the prevailing opinion, social capital is one of the most robust indicators of quality of life (QoL). We ask whether this insight applies to Slovakia, as well, on the basis of understanding social capital not as one holistic concept but as a set of interrelated components, which are trust, networks, and norms. The paper has two goals, the first of which is to determine the amount of social capital, its components, and QoL, as well as its spatial disparities, at a district level. In this case, the goal is to determine the quantity of the investigated variables. The data source is the World Value Survey, Round 7, in which Slovakia also participated. The second goal is to find out how social capital and its components affect the QoL in individual districts. In other words, we would like to determine the quality of the impact of social capital and its components on the QoL. The result is the knowledge that social capital as a whole reaches significantly lower values than the QoL and is not a predictor of the QoL in Slovakia. At the same time, however, disparities in the impact of social capital and its components on the QoL have high values. This knowledge challenges the understanding of holistic social capital as a robust indicator of QoL.