bluuebunny/crossref_metadata_2025 huggingface dataset:
Morphological Characteristics and Development Rate of Gullies in Three Main Agro-Geomorphological Regions of Northeast China
Authors: Wang Zhengyu , Shi Mingchang , Guo Mingming , Zhang Xingyi , Liu Xin , Chen Zhuoxin
Published: August 2024

Gully erosion poses a significant global concern due to its role in land degradation and soil erosion, particularly pronounced in Northeast China’s diverse agro-geomorphic regions. However, there is a lack of comprehensive studies on gully characteristics, development rates, and the topographic threshold of gully formation in these areas. To address this gap, we selected three different agro-geomorphic watersheds, named HL (Hailun), ML (Muling), and YKS (Yakeshi), with areas of 30.88 km2, 31.53 km2, and 21.98 km2, respectively. Utilizing high-resolution (2.1 m, 2 m) remote sensing imagery (ZY-3, GF-1), we analyzed morphological parameters (length, width, area, perimeter, etc.) and land use changes for all permanent gullies between 2013 and 2023. Approximately 30% of gullies were selected for detailed study of the upstream drainage area and gully head slopes to establish the topographic threshold for gully formation (S = a·A−b). In HL, ML, and YKS, average gully lengths were 526.22 m, 208.64 m, and 614.20 m, respectively, with corresponding widths of 13.28 m, 8.45 m, and 9.32 m. The gully number densities in the three areas were 3.14, 25.18, and 0.82/km2, respectively, with a gully density of 1.65, 5.25, and 0.50 km km−2, and 3%, 5%, and 1% of the land has disappeared due to gully erosion, respectively. YKS exhibited the highest gully head retreat rate at 17.50 m yr−1, significantly surpassing HL (12.24 m yr−1) and ML (7.11 m yr−1). Areal erosion rates were highest in HL (277.79 m2 yr−1) and lowest in YKS (105.22 m2 yr−1), with ML intermediate at 243.36 m2 yr−1. However, there was no significant difference in gully expansion rate (0.37–0.42 m yr−1) among the three areas (p > 0.05). Differences in gully development dynamics among the three regions were influenced by land use, slope, and topographic factors. The topographic threshold (S = a·A−b) for gully formation varied: HL emphasized drainage area (a = 0.052, b = 0.52), YKS highlighted soil resistance (a = 0.12, b = 0.36), and the parameters a and b of ML fell within the range between these of HL and YKS (a = 0.044, b = 0.27). This study has enriched the scope and database of global gully erosion research, providing a scientific basis for gully erosion prevention and control planning in Northeast China.
GNSS/LiDAR/IMU Fusion Odometry Based on Tightly-Coupled Nonlinear Observer in Orchard
Authors: Sun Na , Qiu Quan , Li Tao , Ru Mengfei , Ji Chao , Feng Qingchun , Zhao Chunjiang
Published: August 2024

High-repetitive features in unstructured environments and frequent signal loss of the Global Navigation Satellite System (GNSS) severely limits the development of autonomous robot localization in orchard settings. To address this issue, we propose a LiDAR-based odometry pipeline GLIO, inspired by KISS-ICP and DLIO. GLIO is based on a nonlinear observer with strong global convergence, effectively fusing sensor data from GNSS, IMU, and LiDAR. This approach allows for many potentially interfering and inaccessible relative and absolute measurements, ensuring accurate and robust 6-degree-of-freedom motion estimation in orchard environments. In this framework, GNSS measurements are treated as absolute observation constraints. These measurements are tightly coupled in the prior optimization and scan-to-map stage. During the scan-to-map stage, a novel point-to-point ICP registration with no parameter adjustment is introduced to enhance the point cloud alignment accuracy and improve the robustness of the nonlinear observer. Furthermore, a GNSS health check mechanism, based on the robot’s moving distance, is employed to filter reliable GNSS measurements to prevent odometry crashed by sensor failure. Extensive experiments using multiple public benchmarks and self-collected datasets demonstrate that our approach is comparable to state-of-the-art algorithms and exhibits superior localization capabilities in unstructured environments, achieving an absolute translation error of 0.068 m and an absolute rotation error of 0.856°.
A Novel Out-of-Control Action Plan (OCAP) for Optimizing Efficiency and Quality in the Wafer Probing Process for Semiconductor Manufacturing
Authors: Yeo Woonyoung , Chang Yung-Chia , Chen Liang-Ching , Chang Kuei-Hu
Published: August 2024

The out-of-control action plan (OCAP) is crucial in the wafer probing process of semiconductor manufacturing as it systematically addresses and corrects deviations, ensuring the high quality and reliability of semiconductor devices. However, the traditional OCAP involves many redundant and complicated processes after failures occur on production lines, which can delay production and escalate costs. To overcome the traditional OCAP’s limitations, this paper proposes a novel OCAP aimed at enhancing the wafer probing process in semiconductor manufacturing. The proposed OCAP integrates proactive measures such as preventive maintenance and advanced monitoring technologies, which are tested and verified through a comprehensive experimental setup. Implementing the novel OCAP in a case company’s production line reduced machine downtime by over 24 h per week and increased wafer production by about 23 wafers per week. Additionally, probe test yield improved by an average of 1.1%, demonstrating the effectiveness of the proposed method. This paper not only explores the implementation of the novel OCAP but also compares it with the traditional OCAP, highlighting significant improvements in efficiency and production output. The results underscore the potential of advanced OCAP to enhance manufacturing processes by reducing dependency on human judgment, thus lowering the likelihood of errors and improving overall equipment effectiveness (OEE).
A Novel Cross-Domain Mechanical Fault Diagnosis Method Fusing Acoustic and Vibration Signals by Vision Transformer
Authors: Chu Zhenyun , Xing Shuo , Han Baokun , Wang Jinrui
Published: August 2024

Changes in operating conditions often cause the distribution of signal features to shift during the bearing fault diagnosis process, which will result in reduced diagnostic accuracy of the model. Therefore, this paper proposes a dual-channel parallel adversarial network (DPAN) based on vision transformer, which extracts features from acoustic and vibration signals through parallel networks and enhances feature robustness through adversarial training during the feature fusion process. In addition, the Wasserstein distance is used to reduce domain differences in the fused features, thereby enhancing the network’s generalization ability. Two sets of bearing fault diagnosis experiments were conducted to validate the effectiveness of the proposed method. The experimental results show that the proposed method achieves higher diagnostic accuracy compared to other methods. The diagnostic accuracy of the proposed method can exceed 98%.
Handheld Near-Infrared Spectroscopy for Undried Forage Quality Estimation
Authors: Yamada William , Cherney Jerry , Cherney Debbie , Runge Troy , Digman Matthew
Published: August 2024

This study investigates the efficacy of handheld Near-Infrared Spectroscopy (NIRS) devices for in-field estimation of forage quality using undried samples. The objective is to assess the precision and accuracy of multiple handheld NIRS instruments—NeoSpectra, TrinamiX, and AgroCares—when evaluating key forage quality metrics such as Crude Protein (CP), Neutral Detergent Fiber (aNDF), Acid Detergent Fiber (ADF), Acid Detergent Lignin (ADL), in vitro Total Digestibility (IVTD)and Neutral Detergent Fiber Digestibility (NDFD). Samples were collected from silage bunkers across 111 farms in New York State and scanned using different methods (static, moving, and turntable). The results demonstrate that dynamic scanning patterns (moving and turntable) enhance the predictive accuracy of the models compared to static scans. Fiber constituents (ADF, aNDF) and Crude Protein (CP) show higher robustness and minimal impact from water interference, maintaining similar R2 values as dried samples. Conversely, IVTD, NDFD, and ADL are adversely affected by water content, resulting in lower R2 values. This study underscores the importance of understanding the water effects on undried forage, as water‘s high absorption bands at 1400 and 1900 nm introduce significant spectral interference. Further investigation into the PLSR loading factors is necessary to mitigate these effects. The findings suggest that, while handheld NIRS devices hold promise for rapid, on-site forage quality assessment, careful consideration of scanning methodology is crucial for accurate prediction models. This research contributes valuable insights for optimizing the use of portable NIRS technology in forage analysis, enhancing feed utilization efficiency, and supporting sustainable dairy farming practices.
Mapping the Future of Green Gold: GIS-Based Insights into Optimal Olive-Cultivation Areas in Jordan Amidst Climate Change
Authors: Sarayrah Hind , Hayek Wissam , Farhan Ibrahim , Wahsha Mohammad
Published: August 2024

This study harnesses Geographic Information Systems (GISs) and the Analytical Hierarchy Process (AHP) to identify optimal areas for olive cultivation in Jordan amidst the challenges of climate change. Recognizing the olive tree’s economic, environmental and cultural significance in the Mediterranean, this research focuses on the impact of altered climatic conditions, such as rising temperatures, shifting precipitation patterns and increased weather extremes, over the period from 1994 to 2021. By integrating climatic and topographical data, including factors such as altitude, slope, aspect and temperature variations, a multi-criteria analysis pinpoints regions suitable for sustainable olive agriculture. The methodology combines GIS-based spatial analysis with AHP to assess the suitability of various regions for olive farming, taking into account the complex interplay between climate and topography. This approach allows for the evaluation of potential agricultural zones under both current and projected climate scenarios, highlighting northern and western Jordan as areas with the highest suitability due to favorable precipitation and temperature conditions. The results of this study are vital for strategic agricultural planning, offering insights that can help enhance the resilience of olive production against climate variability. By identifying regions with optimal growing conditions and suggesting adaptive strategies, this research aims to support policymakers, agricultural developers and farmers in making informed decisions that ensure the sustainable future of olive farming in Jordan.
Impact of Heterogeneous Soil Conditions on the Life Cycle Assessment of a Multi-Storey Reinforced Concrete Structure
Authors: Studziński Robert , Ścigałło Jacek , Ratajczak Maria , Ciesielczyk Katarzyna
Published: August 2024

This article discusses the design of reinforced concrete structures taking into account non-uniform soil conditions, as well as aspects of sustainable engineering. To achieve this, the soil-structure interaction was explicitly introduced into the numerical model of the investigated structure which meets serviceability and the ultimate limit state conditions defined in the relevant Eurocode standards. In the numerical experiment, non-uniform soil conditions, type of foundation (isolated footing, foundation plate), material parameters and size of the cross section of the elements (columns and beams) were analysed. The introduced heterogeneous soil profiles, determined by defining a parametrised, in terms of mechanical properties, spatial model of the layered soil, resulted in nonuniform settlement of the investigated structure. A global analysis of the three-dimensional reinforced concrete structure was carried out taking into account geometric nonlinearity with imperfections and material nonlinearity with creep. The displacement maps of the structure and the risk of collapse due to nonuniform settlement were established. Furthermore, an environmental so called life cycle assessment was performed for each variant analysed of the investigated structure. The innovative nature of the research is based on a joint approach to the problem of soil-structure interaction and the assessment of the carbon footprint of reinforced concrete buildings. This made it possible to determine how the varying soil conditions and different types of foundation affect the amount of material consumed and the carbon footprint associated with the production of reinforced concrete structures.
Trade Liberalization and Pollutant Emissions: Micro Evidence from Chinese Manufacturing Firms
Authors: Zhang Yiming , Ye Zuoliang , Gan Kaijun
Published: August 2024

Trade liberalization has enabled China to become a global manufacturing hub. However, an increasing focus on pollutant emissions has accompanied China’s rapid economic growth. This paper uses the Annual Survey of Industrial Firms and the Annual Energy Survey of Industrial Firms from 1998 to 2007 to identify the effects of trade liberalization in final goods and intermediate goods on pollutant emissions of Chinese manufacturing enterprises. The difference-in-difference method is used to analyze the data, with China’s accession to the World Trade Organization serving as an exogenous policy shock that brought trade liberalization. The paper’s findings indicate the following: (1) Trade liberalization has reduced the tariffs on final goods, which has led to a notable reduction in the intensity of pollutant emissions from Chinese manufacturing firms. (2) Trade liberalization in intermediate goods, meanwhile, has led to a significant increase in the pollutant emission intensity of manufacturing firms. However, the emission reduction effect observed in final goods is more pronounced. (3) The difference-in-difference-in-difference method was used to examine the heterogeneity of the pollutant emission effect of trade liberalization across manufacturing firms. Our analysis revealed that trade liberalization has significantly enhanced the pollutant emission intensity of state-owned enterprises while exhibiting no significant effect on foreign invested enterprises. Furthermore, trade liberalization has intensified pollutant emissions among exporting firms.
Audience-Oriented Information Intervention Approach to Food Waste Behavior: An Application in Chinese University Canteens
Authors: Gong Shunlong , Liu Chaoyue , Cui Ying , Xiao Xiaolan , Feng Yu , Bai Li
Published: August 2024

Information intervention is often used to reduce food waste in restaurants and canteens. Existing studies have overlooked the target audience’s psychological and behavioral characteristics during message design, resulting in erratic intervention outcomes. This study proposes an audience-oriented information intervention approach that integrates goal systems theory and information feedback paradigms. The cornerstone underlying this approach is the elaboration of release-type and feedback-type intervention messages. Our approach offers a procedure to determine the optimal message-based intervention program. This study empirically applied the approach to intervene in food waste behavior among 1141 Chinese university students in canteens. A between-subjects design quasi experiment was conducted to explore the effect of information intervention, and the results showed that the downward comparative feedback-type message at the ordering stage performed the best. Findings offer practical guidance for reducing food waste in various consumption scenarios and useful inputs for encouraging green consumption behavior.
Leveraging Machine Learning for Designing Sustainable Mortars with Non-Encapsulated PCMs
Authors: Cunha Sandra , Parente Manuel , Tinoco Joaquim , Aguiar José
Published: August 2024

The development and understanding of the behavior of construction materials is extremely complex due to the great variability of raw materials that can be used, which becomes even more challenging when functional materials, such as phase-change materials (PCM), are incorporated. Currently, we are witnessing an evolution of advanced construction materials as well as an evolution of powerful tools for modeling engineering problems using artificial intelligence, which makes it possible to predict the behavior of composite materials. Thus, the main objective of this study was exploring the potential of machine learning to predict the mechanical and physical behavior of mortars with direct incorporation of PCM, based on own experimental databases. For data preparation and modelling process, the cross-industry standard process for data mining, was adopted. Seven different models, namely multiple regression, decision trees, principal component regression, extreme gradient boosting, random forests, artificial neural networks, and support vector machines, were implemented. The results show potential, as machine learning models such as random forests and artificial neural networks were demonstrated to achieve a very good fit for the prediction of the compressive strength, flexural strength, water absorption by immersion, and water absorption by capillarity of the mortars with direct incorporation of PCM.
Enhancing Sustainable Supply Chain Management through Digital Transformation: A Comparative Case Study Analysis
Authors: Stroumpoulis Asterios , Kopanaki Evangelia , Chountalas Panos T.
Published: August 2024

This study investigates the critical role of information systems and digital transformation in advancing sustainable supply chain management. Companies are increasingly adopting sustainable policies to protect the environment, enhance societal wellbeing, and drive economic development. By digitalizing their processes, they achieve significant operational improvements and boost business performance. Information systems are now integral to supply chains, supporting diverse processes and facilitating excellence in digital transformation and sustainable development. However, research in this area has been limited, focusing primarily on the environmental pillar. This study aims to explore the relationship between supply chain digitalization and the adoption of comprehensive sustainability practices. The research employs a qualitative methodology, including a comparative case study analysis of a modern 3PL company, a retailer, and a producer of construction materials. The findings reveal that the strategic integration of digital transformation and sustainable policies within organizational contexts is vital for enhancing business performance and achieving operational excellence. Effective use of information systems and resources enables companies to amplify their economic, social, and environmental impact, fostering an environmentally friendly image, strengthening societal relationships, and increasing market share. This study underscores the importance of a holistic approach to sustainability, driven by information systems and Industry 4.0 technologies, positioning companies as leaders in sustainable supply chain management.
An Estimation of Biomass Potential and Location Optimization for Integrated Biorefineries in Germany: A Combined Approach of GIS and Mathematical Modeling
Authors: Heck Raphael , Rudi Andreas , Lauth David , Schultmann Frank
Published: August 2024

Establishing the utilization of lignocellulosic biomass in integrated biorefineries can reduce environmental impacts and dependency on imported raw materials by substituting fossil-based products. Whereas energetic biomass utilization is common, chemical utilization is still poorly established, primarily due to the lack of feedstock availability. Hence, literature-based estimation and geographical mapping of biomass potentials are key to implementing successful production networks for biobased chemicals. Using the example of Germany, a geographical information system (GIS) analysis was conducted to allocate residual biomass potentials spatially. Based on the obtained GIS data model, a facility location optimization model was developed. The results of a location-allocation analysis for innovative biorefineries, which are integrated with biogas plants, showed an optimal location network for maximizing the amount of residue biomass covered. In a promising model scenario, each biorefinery has a maximum catchment radius of 23 km and a minimum input of 94,500 tonnes of dry matter per year (t DM/a) (31.5 kt DM/a × 3), allowing only existing biogas locations as locations for biorefineries. The results show that a mix of lignocellulosic residual biomass in certain areas can sustainably satisfy the demand for running 69 decentralized, integrated and multi-feed small-to-mid-scale biorefineries in Germany.
AI-Driven Risk Management and Sustainable Decision-Making: Role of Perceived Environmental Responsibility
Authors: Khalid Jamshed , Chuanmin Mi , Altaf Fasiha , Shafqat Muhammad Mobeen , Khan Shahid Kalim , Ashraf Muhammad Umair
Published: August 2024

Risk management driven by AI has the potential to play an important role in sustainable decision-making by offering predictive insights and scenario modeling capabilities. This proactive approach empowers top management to align informed decisions in accordance with sustainability goals while optimizing resource allocation and mitigating risks. While existing research examined the benefits of AI risk management, this study addresses the underexplored question of how AI risk management impacts sustainable decision-making, particularly when considering the mediating role of perceived environmental responsibility. A structural equation modeling (SEM) technique was employed on a dataset comprising 428 senior managers from the Pakistani construction sector. The results revealed that AI-driven risk management is highly relevant to sustainable decision-making. Further, perceived environmental responsibility was found to have a partial mediating effect. These results hold a significant promise for organizations seeking to integrate AI for environmental sustainability goals. The findings of the study enhance the understanding of how AI-driven risk management is a driving mechanism empowering decision-makers to make more sustained decisions in the construction sector.
Analysis of the Decoupling between Urban Economic Development and Transportation Carbon Emissions in China: Empirical Evidence from 284 Cities
Authors: Zhao Peng , Zhao Jiannan , Yang Qi , Zhang Shuai , Tian Beisi
Published: August 2024

The proposal of China’s “double carbon target” means that China is trying to realize the decoupling between economic development and carbon emissions. Based on the dual perspectives of velocity decoupling and quantitative decoupling, this paper systematically analyzes the decoupling state between transportation carbon emissions and economic development in 284 Chinese cities from 2006 to 2020 by using the Tapio decoupling model and the environmental Kuznets curve model. The results show the following: (1) From the perspective of velocity decoupling, most China’s cities have initially realized the decoupling state of transportation carbon emissions and urban economic development, entering the stage of weak decoupling, but not yet into the stage of strong decoupling, which indicates the decoupling level still needs to be improved. In space, the regions with high decoupling levels show the spatial differentiation characteristics of more in the east and middle, and less in the west. (2) From the perspective of quantitative decoupling, the relationship between urban transportation carbon emissions and economic development presents an inverted U-shaped EKC curve in China, and all cities have basically not crossed the inflection point and not entered the absolute decoupling state, but are in the trend of evolving to the quantitative decoupling state. This conclusion also verifies the view that velocity decoupling is generally in the weak decoupling stage. (3) The quantitative decoupling analysis also shows that urban population density, urban road density and per capita private car ownership all can worsen transportation carbon emissions, while public transport efficiency is the key driving forces for industrial carbon emission reduction. This study will help policymakers and practitioners to better understand the decoupling relationship between urban economic development and transportation carbon emissions in China, so as to formulate a strategy that fits China’s characteristics to achieve the “double carbon target” for transportation sector.
Feasibility of Adjunct Therapy with a Robotic Hand Orthosis after Botulinum Toxin Injections in Persons with Spasticity: A Pilot Study
Authors: Ranzani Raffaele , Razzoli Margherita , Sanson Pierre , Song Jaeyong , Galati Salvatore , Ferrarese Carlo , Lambercy Olivier , Kaelin-Lang Alain , Gassert Roger
Published: August 2024

Upper-limb spasticity, frequent after central nervous system lesions, is typically treated with botulinum neurotoxin type A (BoNT-A) injections to reduce muscle tone and increase range of motion. However, performing adjunct physical therapy post-BoNT-A can be challenging due to residual weakness or spasticity. This study evaluates the feasibility of hand therapy using a robotic hand orthosis (RELab tenoexo) with a mobile phone application as an adjunct to BoNT-A injections. Five chronic spastic patients participated in a two-session pilot study. Functional (Box and Block Test (BBT), Action Research Arm Test (ARAT)), and muscle tone (Modified Ashworth Scale (MAS)) assessments were conducted to assess functional abilities and impairment, along with usability evaluations. In the first session, subjects received BoNT-A injections, and then they performed a simulated unsupervised therapy session with the RELab tenoexo in a second session a month later. Results showed that BoNT-A reduced muscle tone (from 12.2 to 7.4 MAS points). The addition of RELab tenoexo therapy was safe, led to functional improvements in four subjects (two-cube increase in BBT as well as 2.8 points in grasp and 1.3 points in grip on ARAT). Usability results indicate that, with minor improvements, adjunct RELab tenoexo therapy could enhance therapy doses and, potentially, long-term outcomes.
Characteristics of Powerful Radio Galaxies
Authors: Singh Chandra B. , Williams Michael , Garofalo David , Rojas Castillo Luis , Taylor Landon , Harmon Eddie
Published: August 2024

Mature radio galaxies such as M87 belong to a specific subclass of active galaxies (AGN) whose evolution in time endows them with five distinguishing characteristics, including (1) low excitation emission, (2) low star formation rates, (3) high bulge stellar-velocity dispersion, (4) bright stellar nuclei, and (5) weak or nonexistent merger signatures. We show how to understand these seemingly disparate characteristics as originating from the time evolution of powerful radio quasars and describe a new model prediction that tilted accretion disks in AGN are expected to occur in bright quasars but not in other subclasses of AGN. The picture we present should be understood as the most compelling evidence for counter-rotation as a key element in feedback from accreting black holes.
Phylodynamic and Epistatic Analysis of Coxsackievirus A24 and Its Variant
Authors: Cheng Chia-Chi , Chu Pei-Huan , Huang Hui-Wen , Ke Guan-Ming , Ke Liang-Yin , Chu Pei-Yu
Published: August 2024

Coxsackievirus A24 (CV-A24) is a human enterovirus that causes acute flaccid paralysis. However, a Coxsackievirus A24 variant (CV-A24v) is the most common cause of eye infections. The causes of these variable pathogenicity and tissue tropism remain unclear. To elucidate the phylodynamics of CV-A24 and CV-A24v, we analyzed a dataset of 66 strains using Bayesian phylodynamic approach, along with detailed sequence variation and epistatic analyses. Six CV-A24 strains available in GenBank and 60 CV-A24v strains, including 11 Taiwanese strains, were included in this study. The results revealed striking differences between CV-A24 and CV-A24v exhibiting long terminal branches in the phylogenetic tree, respectively. CV-A24v presented distinct ladder-like clustering, indicating immune escape mechanisms. Notably, 10 genetic recombination events in the 3D regions were identified. Furthermore, 11 missense mutation signatures were detected to differentiate CV-A24 and CV-A24v; among these mutations, the F810Y substitution may significantly affect the secondary structure of the GH loop of VP1 and subsequently affect the epitopes of the capsid proteins. In conclusion, this study provides critical insights into the evolutionary dynamics and epidemiological characteristics of CV-A24 and CV-A24v, and highlights the differences in viral evolution and tissue tropism.
Sheep Displayed No Clinical and Parasitological Signs upon Experimental Infection with Babesia aktasi
Authors: Ulucesme Mehmet Can , Ozubek Sezayi , Aktas Munir
Published: August 2024

Our survey in the Mediterranean region of Türkiye revealed high prevalence of Babesia aktasi in goats, while no molecular evidence of the parasite was found in sheep grazing in the same pasture. We hypothesized that the parasite may not be infectious to sheep. To test this hypothesis, the present study was designed to evaluate the susceptibility of Akkaraman sheep breed to B. aktasi infection. Fifteen mL of fresh blood infected with B. aktasi was injected into immune-suppressed lambs (n = 5). The recipient lambs were monitored daily for clinical signs of babesiosis over 30 days, and blood was collected for microscopic and molecular diagnostic evaluation. The lambs did not display clinical and parasitological signs of babesiosis. Two out of five recipient lambs were nested PCR-negative for B. aktasi over 30 days post infection. Out of the remaining three lambs, two were PCR positive on the first day, and one recipient was positive until the fourth day post infection. DNA sequencing confirmed that the PCR positivity in the recipient lambs originated from the inoculum. These findings revealed that immune-suppressed sheep do not appear to be susceptible to infection with B. aktasi that is lethal to immune-suppressed indigenous goats.
Application of HKELM Model Based on Improved Seahorse Optimizer in Reservoir Dissolved Oxygen Prediction
Authors: Guo Lijin , Hu Xiaoyan
Published: August 2024

As an important part of environmental science and water resources management, water quality prediction is of great importance. In order to improve the efficiency and accuracy of predicting dissolved oxygen (DO) at the outlet of a reservoir, this paper proposes an improved Seahorse Optimizer to enhance the hybrid kernel extreme learning machine model for water quality prediction. Firstly, the circle chaotic map is used to initialize the hippocampus population to improve the diversity and quality of the population, and then the sine and cosine strategy is used to replace the predation behavior of the hippocampus to improve the global search ability. Finally, the lens imaging reverse learning strategy is used to expand the search range and prevent it from falling into the local optimal solution. By introducing two kernel functions, a global kernel function (Poly) and a local kernel function (RBF), a new hybrid kernel function extreme learning machine is formed by linearly combining these two kernel functions. The parameters of this HKELM are optimized with the improved Seahorse Optimizer, and the water quality prediction model of CZTSHO-HKELM is constructed. The simulation results show that the operating efficiency and prediction accuracy of the model are better than those of the ELM, CZTSHO-ELM, CZTSHO-KELM, and SHO-HKELM models, with the correlation coefficients increased by 5.5%, 3.3%, 3.4%, and 7.4%, respectively. The dissolved oxygen prediction curve is close to the actual dissolved oxygen change, which can better meet the requirements of reservoir water quality prediction. The above method can be applied to further accurately predict the water quality of the reservoir.
Gestión pedagógica docente para el desarrollo de competencias investigativas
Authors: Chipana Rodríguez Virginia Nieves , Santa María Relaiza Héctor Raúl
Published: August 2024

Esta investigación tuvo como objetivo determinar la influencia de la gestión pedagógica docente en el desarrollo de competencias investigativas. Se empleó un paradigma positivista y se realizó una investigación básica, de tipo no experimental, transeccional, con un nivel explicativo y enfoque cuantitativo, prospectivo y de corte transversal. La muestra, seleccionada de forma probabilística, estuvo compuesta por 192 estudiantes de secundaria. Los resultados mostraron un alto grado de gestión pedagógica docente (79%) en comparación con las competencias investigativas (82.6%). El análisis mediante el modelo logístico, con un valor de X² de 5.792 y un valor p = 0.016, inferior a 0.05, evidenció una influencia leve y significativa de la gestión pedagógica en las competencias investigativas. Se concluye que una gestión pedagógica alta influye positivamente en el desarrollo de competencias investigativas.
THE RESEARCH OF CREEPAGE DEPORMATION STEAM PIPELINES OF STEEL 12KH1MF
Authors: Markina Mariya , Amosov Nikolay
Published: August 2024

Reliability of open steam pipelines is highly important for modern heat power plants. The majority of steam turbines use steam at supercritical parameters, so high-temperature strength of the pipelines must provide safe and effective work. This paper purpose is to explore creepage deformation of open steam pipelines (12KH1MF) which transfer steam from steam generators to steam turbines. The main index of this research is creepage. Also the research considers elastic and plastic deformation. During the research isochronal curves of creepage and creepage deformation of tension characteristic diagram was fulfilled. Usage of creepage isochronal curve gives a possibility to present information as graphical dependence.
Measurement of oxidative stress-related markers in gastro-intestinal damages in Bulgarian pediatric patients
Authors:   Pediatrics Department, Medical Faculty, Trakia University, 11 Armeiska Str., 6000 Stara Zagora, Bulgaria, Panayotova M. , Penkova M. ,   Gastroenterology Department, Medical Faculty, Trakia University, 11 Armeiska Str., 6000, Stara Zagora, Bulgaria
Published: August 2024

Cow's milk allergy (CMA), affects ~2 - 7.5% of the infants, and results in an immunological response to casein and α-/β-lactalbumins such as: skin rashes, respiratory and gastrointestinal disturbances. Inflammatory bowel disease (IBD), affecting adolescents, is sustained by an impaired immune/ inflammatory response against intestinal microorganisms. Reactive oxygen/nitrogen (ROS/RNS) overproduction in the gastrointestinal tract damages the mucosa in CMA and IBD. The aim of the present study was to determine ROS/RNS and oxidative disturbances in the intestinal mucosa influence in CMA and IBD. We investigated the levels of advanced protein (OPC), protein carbonyls (PCC), nitric oxide (•NO) and total antioxidant capacity (TAC) in blood serum in CMA and IBD patients. The results showed a significant increase in PCC (p < 0.0001), OPC (p < 0.0001), and increased •NO deposition (p < 0.001) and TAC (p < 0.0001) that likely induce oxidative damage in CMA versus IBD patients. In conclusion, the ROS/RNS accumulation, and oxidative damage to the protein skeleton in the colonic mucosa play a key role in the CMA and IBD pathophysiology, especially in the initiation, duration and maintenance of mucosal inflammation.
Secondary metabolites from tobacco and different natural herbs, extracted by maceration with polar solvents
Authors:   Tobacco and Tobacco Products Institute, Agricultural Academy, Markovo 4108, Bulgaria, Kirkova D. , Docheva M. ,   Tobacco and Tobacco Products Institute, Agricultural Academy, Markovo 4108, Bulgaria, Stoyanova L. ,   Tobacco and Tobacco Products Institute, Agricultural Academy, Markovo 4108, Bulgaria,   Department of Organic Chemistry, University of Plovdiv “Paisii Hilendarski”, 24 Tsar Asen Str., 4000 Plovdiv, Bulgaria, Stremski Y. ,   Department of Organic Chemistry, University of Plovdiv “Paisii Hilendarski”, 24 Tsar Asen Str., 4000 Plovdiv, Bulgaria, Statkova-Abeghe S. ,   Department of Organic Chemistry, University of Plovdiv “Paisii Hilendarski”, 24 Tsar Asen Str., 4000 Plovdiv, Bulgaria, Petrova V. ,   Department of Organic Chemistry, University of Plovdiv “Paisii Hilendarski”, 24 Tsar Asen Str., 4000 Plovdiv, Bulgaria, Kochev Y. ,   Tobacco and Tobacco Products Institute, Agricultural Academy, Markovo 4108, Bulgaria
Published: August 2024

Tobacco (N. tabacum L.) is an annual plant belonging to the family Solanaceae, genus Nicotiana. The first information of the use of tobacco as a medicinal plant data back to 1492. After the isolation of the alkaloid nicotine from tobacco leaves in 1828 and the establishment of its addictive effect, the medical world ceased to use tobacco as a treatment. Several centuries later, scientific research has resumed and it is again directed towards a detailed study of the biologically active substances in tobacco and its alternative use in medicine, bio-engineering and biotechnology. Organic tobacco is a new industrial plant product that is grown on certified bio fields, without using conventional fertilizers and plant protection preparations. The nicotine content is significantly lower than that of tobacco grown under conventional conditions. It is of interest to study the quantitative and qualitative composition of some secondary metabolites in organic tobacco extracts, like total phenolic content, obtained by maceration with different polar solvents, and the comparison with selected medicine plants extracts - thyme, hawthorn, horsetail, nettle, and dandelion. Our research found that bio tobacco has a high content of phenolic acids close to the content of phenolic acids in thyme and is higher than that of the medicinal plants horsetail, dandelion, hawthorn and nettle. Bio tobacco extracts have high antioxidant activity determined by ABTS, DPPH, HPSA, FRAP, CUPRAC methods, similar to that of thyme extracts activty. Bio tobacco extracts have significantly higher antioxidant activity than hawthorn, nettle, horsetail and dandelion extracts.
Phenothiazine Schiff bases containing chlorine: synthesis, characterization and antimicrobial study
Authors:   Department of Chemical, Food and Biotechnologies, “Angel Kanchev” University of Ruse, Razgrad Branch, 47 Aprilsko Vastanie Blvd., 7200 Razgrad, Bulgaria, Nikolova I. , Kostova I. ,   Faculty of Plant Protection and Agroecology, Department of Chemistry and Phytopharmacy, Agricultural University – Plovdiv, 12 Mendeleev Blvd., 4000 Plovdiv, Bulgaria, . Marinov M ,   Faculty of Plant Protection and Agroecology, Department of Chemistry and Phytopharmacy, Agricultural University – Plovdiv, 12 Mendeleev Blvd., 4000 Plovdiv, Bulgaria
Published: August 2024

This article presents the synthesis, structural and spectral (IR and NMR) characterization of some new phenothiazine Schiff bases containing chlorine. The target compounds (Figs. 1a-1d) were obtained as a result of the reaction between 2- amino-6-(10H-phenothiazin-10-yl)-1H-benzo[de]isoquinoline-1,3(2H)-dione and the corresponding chlorobenzaldehydes. The antimicrobial activity of the synthesized Schiff bases was evaluated against Gram-positive bacteria Staphylococcus aureus and Bacillus subtilis, Gram-negative bacteria Escherichia coli, Pseudomonas aeruginosa and Salmonella abony, yeasts Saccharomyces cerevisiae and Candida albicans, molds Aspergillus brasiliensis and Fusarium moniliforme.
Origins and Molecular Mechanisms Underlying Renal Vascular Development
Authors: Nishimura Yusuke , Hanada Sanshiro
Published: August 2024

Kidneys play a crucial role in maintaining homeostasis within the body, and this function is intricately linked to the vascular structures within them. For vascular cells in the kidney to mature and function effectively, a well-coordinated spatial alignment between the nephrons and complex network of blood vessels is essential. This arrangement ensures efficient blood filtration and regulation of the electrolyte balance, blood pressure, and fluid levels. Additionally, the kidneys are vital in regulating the acid-base balance and producing hormones involved in erythropoiesis and blood pressure control. This article focuses on the vascular development of the kidneys, summarizing the current understanding of the origin and formation of the renal vasculature, and the key molecules involved. A comprehensive review of existing studies has been conducted to elucidate the cellular and molecular mechanisms governing renal vascular development. Specific molecules play a critical role in the development of renal vasculature, contributing to the spatial alignment between nephrons and blood vessels. By elucidating the cellular and molecular mechanisms involved in renal vascular development, this study aims to advance renal regenerative medicine and offer potential avenues for therapeutic interventions in kidney disease.
العبوات العصرية للمنتجات وأثرها السلبي على العلامات التجارية المرتبطة بحنين المستهلك إلى الماضي
Authors: سلطان عبدالله جواد
Published: August 2024

هدف الدراسة: تهدف الدراسة إلى اختبار مدى تأثير التغييرات العصرية في عبوات المنتجات لعلامات تجارية مرتبطة بالحنين إلى الماضي على موقف المستهلكين تجاه العلامة التجارية والإعلان والكلام المتناقل بينهم والنوايا الشرائية. تصميم/منهجية/طريقة الدراسة: استخدمت منهجية التجربة المختبرية في عرض إعلانين لحالتين مختلفتين؛ حيث ظهر في أحدهما عبوات عصرية (غير مرتبطة بالحنين إلى الماضي) وفي الأخرى عبوات لها طابع قديم (مرتبطة بالحنين إلى الماضي) لعلامة تجارية في الكويت متخصصة في بيع منتجات الألبان. عينة وبيانات الدراسة: أُجريت الدراسة على عينة ملائمة، قوامها 393 فرداً من طلاب البكالوريوس من جامعة حكومية في الكويت. نتائج الدراسة: وجدت الدراسة بأن ردة فعل المشاركين في حالة العبوات العصرية (مقارنة بالعبوات ذات الطابع القديم) كانت أقل إيجابية بالنسبة لموقفهم تجاه العلامة التجارية والإعلان والكلام المتناقل بينهم والنوايا الشرائية. الجدير بالذكر أن النتائج السلبية التي كانت لها دلالة إحصائية اقتصرت على المشاركين الذين كانوا يستهلكون المنتجات المشار إليها في هذه الدراسة في مرحلة طفولتهم ويقومون أيضا باستهلاكها حاليا. علاوة على ذلك وجدت الدراسة أن الرابط بين المتغيرات المستقلة والمتغيرات التابعة هو مستوى ارتباط المستهلك بالإعلان، باستثناء النوايا الشرائية للمستهلك؛ حيث إن ارتباط المستهلك له علاقة جزئية فقط.أصالة الدراسة: تعد هذه الدراسة الوحيدة من نوعها التي تهدف إلى اختبار مدى تأثير التغييرات العصرية لعبوات المنتجات المرتبطة بالحنين إلى الماضي على ردة فعل المستهلكين، والوحيدة التي تستخدم عبوات المنتجات كعامل مؤثر على إحساس الأشخاص بالحنين إلى الماضي في تجربة مختبرية. حدود وتطبيقات الدراسة: عندما تقوم العلامات التجارية المرتبطة بالحنين إلى الماضي على تغيير عبوات منتجاتها بصورة كبيرة فإن لذلك عواقب سلبية على ردة فعل المستهلكين في السوق. ومن الأفضل تغيير العبوات بطريقة تدريجية واستخدام برامج ترويجية (مثلاً بيع المنتجات ذات الطابع القديم لفترة محدودة)؛ لتذكير المستهلكين بمرحلة طفولتهم المرتبطة بمنتجات العلامة التجارية.
Beyond The Brew: Crafting Kopi Kenangan Purchase Decisions Through Store Atmosphere, Promotions, And Service Quality
Authors: Fatkar Budiastuti , Zasafani Deny , Atrisia Marchela Indah , Astuti Sherly
Published: August 2024

The culinary business competition holds significant popularity among Indonesian individuals, particularly within the food and beverage industry. Coffee shops have been undergoing significant expansion and can now be found in numerous locations. One notable example of this growth is Kopi Kenangan, which has emerged as one of the largest coffee shop chains. The primary objective of this study is to examine the impact of store atmosphere, promotions, and service quality on consumer purchasing behaviour at the Curug branch of Kopi Kenangan in Tangerang City. The target group for this study comprises individuals who have engaged in transactions at the Curug Tangerang Branch of Kopi Kenangan between December 2022 and June 2023. This study employed a non-probability sampling approach, specifically utilising the incidental sampling technique. The overall sample size consisted of 125 respondents. This study employs the technique of multiple linear regression analysis, utilising the statistical software SPSS 26 for Windows. The findings of the study indicate that factors such as store atmosphere, promotions, and service quality have a partial and simultaneous impact on consumer purchase decisions. For those involved in the coffee industry, this study's managerial implications may be useful.
To Study on “Assessing the Impact of Hybrid Work Versus On-site Work Mode” with Respect to Employees
Authors: Lakshmi J , Archana G R
Published: August 2024

During the covid and after the covid, the emerge of remote work and hybrid model, changed most of the employee’s interest. Now, recent years the employers want their employees back to office, the switching towards hybrid work and traditional office-based work seriously impacted employees in different ways. This study to assess the impact of hybrid work versus On-site work, within a single IT company employee. By focusing on the company employees, this study tries to find in-depth comprehension, of how well these models of work affect the productivity of employees, work-life balance, Job Satisfaction, Mental health and collaboration and communication. This study collects the quantitative data through structured surveys from 100 employees. The collected data was processed using SPSS tool for analysis such as ANOVA, Regression and Correlation). This study also inspects the demographics variables such as age, experience, gender etc. to distinguish and distinct impacts among the various employee groups. Through data analysis, the study aims to provide actionable understanding for employers seeking to optimize work arrangements. These understanding helps the employers to make informed decisions to enhance the employee productivity, satisfaction and well-being, collaboration and communication, eventually contributes to the company’s overall success in the evolving work landscape.
State regulation of pilgrimage travel in the Russian Empire in the first half of the 19th century
Authors: Житенёв С.Ю.
Published: August 2024

В статье рассматриваются вопросы государственного регулирования паломнических путешествий в Российской Империи и за рубеж в первой половине XIX в. Представлены основные правовые документы, на основании которых русским людям можно было легально осуществлять поездки к святым местам России и Вселенского Православия в этот период. Освещается деятельность русских дипломатических учреждений по организации помощи богомольцам из России в Османской империи.

The article discusses the issues of state regulation of pilgrimages in the Russian Empire and abroad in the first half of the XIX century. The main legal documents are presented, on the basis of which Russian people could legally travel to the holy places of Russia and Ecumenical Orthodoxy during this period. The author considers the activities of Russian diplomatic institutions in organizing assistance to pilgrims from Russia in the Ottoman Empire.
In memory of Dmitry Fedorovich Kravchenko – friend and teacher
Authors: Окороков А.В.
Published: August 2024

Автор посвятил статью памяти своего друга и учителя Д.Ф.Кравченко. Он рассказывается о первой подводной археологической экспедиции, проходившей в 1980 г. на Черном море у мыса Панагия, в которой познакомился с этим известным путешественников, исследователем Арктики и подводного Мира.

The author devoted an article in memory of his friend and teacher D.F. Kravchenko. He describes the first underwater archaeological expedition, which took place in 1980 in the Black Sea near Cape Panagia, where he met with the famous traveler, explorer of the Arctic and the underwater world.
Camps of the Russian army and navy: Gallipoli, Lemnos, Bizerta, Kabakja, Chatalja, Sanjak Tepe, Chilingir
Authors: Окороков А.В.
Published: August 2024

В статье рассматривается история учреждения и изготовления особого нагрудного знака «в память пребывания Русской армии в военных лагерях на чужбине и флота в Бизерте в 1920-1921 гг.».

The article deals with the history of the establishment and manufacture of a special badge "in memory of the stay of the Russian army in military camps in foreign countries and the fleet in bizert in 1920-1921."