bluuebunny/crossref_metadata_2025 huggingface dataset:
Investigating Engineering Instructor Characteristics Associated with English Medium Instruction and Their Influence on Intrinsic Motivation
Authors: Almusharaf Norah , Bailey Daniel , Rodrigue Hugo
Published: January 2023

This study explores how instructors view the current state of English medium instruction (EMI) in terms of the existence of EMI engineering courses, how EMI influences instructor motivations, and how motivation constructs influence the intrinsic motivation to teach EMI courses. Explanatory variables regarding intrinsic motivations included the use of the Korean language (L1) when teaching EMI courses, EMI teacher self-efficacy, EMI teacher anxiety, and perceived student benefits for English acquisition when attending EMI courses. The influence of demographic variables (i.e., age, teaching experience, experience living overseas, and second-language proficiency) on intrinsic motivation was also identified. Ultimately, a cross-sectional research design was conducted with a group of 54 engineering professors at a South Korean university. Mean score and correlation analyses provided an initial view of the data. Multiple linear regression analysis was used to determine the explanatory variables’ influence on the intrinsic motivation to teach EMI courses. Several significant relationships in the model were identified. The results showed that the surveyed professors have high self-efficacy in teaching EMI courses, which corresponds with low anxiety levels. Furthermore, the professors reported the frequent and varied strategic use of their first language, L1 (i.e., Korean), when teaching EMI courses. Generally, professors with low self-efficacy in their English will use their own language (L1) more frequently than their more confident counterparts. Self-efficacy, anxiety, and the perceived benefits for students were significant predictors of their intrinsic motivation to teach EMI courses. The pedagogical implications are briefly discussed, and methods for preparing the EMI course instructors are recommended.
A Comprehensive Assessment of Sustainable Development of Urbanization in Hainan Island Using Remote Sensing Products and Statistical Data
Authors: Liang Anning , Yan Dongmei , Yan Jun , Lu Yayang , Wang Xiaowei , Wu Wanrong
Published: January 2023

In the “2030 Agenda for Sustainable Development” proposed by the United Nations, there are several Sustainable Development Goals (SDGs) related to the sustainable development of urbanization. Therefore, this paper combines remote sensing products and statistics data; uses the entropy weight method to construct a comprehensive assessment framework for the sustainable development of urbanization in Hainan Island based on 11 SDGs; and conducts a spatial and temporal analysis of Hainan Island from 2011 to 2020. The assessment scores of the study area are distributed spatially in a pattern that scores high in the north and south and low in the middle and west. In terms of SDGs’ progress, each region faces its own challenges and needs to develop under its own status. For Wuzhishan City and Ding’an County, which scored low in the assessment, newly increased fixed assets, per capita public green areas and the rate of science and technology expenditures to local government expenditures are the main factors affecting the assessment scores.
Analysis and Comparison of Bio-Oils Obtained by Hydrothermal Liquefaction of Organic Waste
Authors: Kulikova Yuliya , Krasnovskikh Marina , Sliusar Natalia , Orlov Nikolay , Babich Olga
Published: January 2023

This paper presents an analysis of bio-oil quality depending on the type of input biomass, the process conditions and the catalytic systems used. Analysis of various catalytic system choices showed the prospects of using nickel and iron metal salts as homogeneous catalysts given that their use provided increases of 24.5% and 22.2%, respectively, in the yield of light-boiling bio-oil fractions (with a boiling point of up to 350 °C). Composition analysis of the bio-oils carried out using gas chromatography and nuclear magnetic resonance spectroscopy showed that fatty acids are the predominant group of substances in bio-oils produced from sewage sludge. Bio-oil synthesized from bark and wood waste contains phenolic alcohols and a limited range of cyclic hydrocarbons as the main components. In bio-oil produced from macroalgae, oxygen and nitrogen compounds of the piperazinedione and amides type are predominant. The sulfur and nitrogen content in all types of bio-oils is at an acceptable level. The results allow researchers to assert that organic waste processing enables production of sufficiently high-quality fuel, which can then be jointly processed with natural oil. Bio-oil produced from secondary sludge has the best quality, characterized by a high content of low-weight aliphatic compounds (with a boiling point of up to 350 °C), along with insignificant levels of nitrogen, sulfur and oxygen.
The Differences in the Impact of Economic Structure Adjustment on the Ecological Carrying Capacity of County Education—A Case Study of Chongqing, China
Authors: Wang Wenxin , Yang Xia , Gan Xia , Yang Chang , Gong Xiangwen , Chen Si
Published: January 2023

Basic education is a foundation-laying project of national quality education. Improving the ecological carrying level of basic education is of great practical significance to the coordinated and sustainable development of regional society and economy. Based on the panel data of Chongqing from 2011 to 2017, combined with the DPSIR theoretical model, a comprehensive evaluation index system was conducted, and the spatial and temporal evolution characteristics of ecological carrying capacity of county education in Chongqing was explored by using statistical analysis and spatial analysis methods. The multiple linear regression model was used to analyze differences in the impact of economic structure adjustment on the ecological carrying capacity of county education. It was found that the level of ecological carrying capacity of county education in Chongqing showed a steady upward trend in terms of time sequence, and all the five subsystems showed the characteristics of steady development, but the influence of each subsystem on the overall carrying capacity was different. From the formation mechanism, Chongqing’s educational ecological carrying capacity is the result of a multi-factor complex system, and there are obvious differences in the influencing factors at different development stages. Therefore, it is necessary to narrow the regional differences of education ecological carrying capacity, promote the coordinated development of education among regions, and take multiple measures to effectively ensure the high quality and sustainable development of county education in Chongqing.
Investigating a New Method-Based Internal Joint Operation Law for Optimizing the Performance of a Turbocharger Compressor
Authors: Huang Rong , Ni Jimin , Fan Houchuan , Shi Xiuyong , Wang Qiwei
Published: January 2023

A well-matched relationship between the compressor and turbine plays an important role in improving turbocharger and engine performance. However, in the matching of turbocharger and engine, the internal operation relationship between compressor and turbine is not considered comprehensively. In order to fill this gap, this paper proposed the internal joint operation law (IJOL) method based on the internal operating characteristics of the compressor and turbine using a combination of experimental and simulation methods. On this basis, the optimization method of the compressor was proposed. Firstly, according to the basic conditions of turbocharger, the compressor power consumption and the turbine effective power at a fixed speed were solved. Secondly, the power consumption curve of the compressor and the effective power curve of the turbine were coupled to obtain the power balance point of the turbocharger. Then, the internal joint operating point was solved and coupled to obtain the IJOL method. Finally, the IJOL method was used to optimize the blade number and the blade tip profile of the compressor. The simulation results showed that for the blade number, the 8-blade compressor had the best overall performance. For the blade tip profile, compared with the original compressor, the surge performance of the impeller inlet diameter reduced by 3.12% was better than that of the original compressor. In addition, in order to compare this to engine performance with different compressor structures, a 1D engine model was constructed using GT-Power. The simulation results showed that the maximum torque of the engine corresponding to the impeller designed by the IJOL method was 4.2% higher than that of the original engine, and the minimum brake specific fuel consumption was 3.1% lower. Therefore, compared with the traditional method, the IJOL method was reasonable and practical.
A New Procedure for Combining UAV-Based Imagery and Machine Learning in Precision Agriculture
Authors: Fragassa Cristiano , Vitali Giuliano , Emmi Luis , Arru Marco
Published: January 2023

Drone images from an experimental field cropped with sugar beet with a high diffusion of weeds taken from different flying altitudes were used to develop and test a machine learning method for vegetation patch identification. Georeferenced images were combined with a hue-based preprocessing analysis, digital transformation by an image embedder, and evaluation by supervised learning. Specifically, six of the most common machine learning algorithms were applied (i.e., logistic regression, k-nearest neighbors, decision tree, random forest, neural network, and support-vector machine). The proposed method was able to precisely recognize crops and weeds throughout a wide cultivation field, training from single partial images. The information has been designed to be easily integrated into autonomous weed management systems with the aim of reducing the use of water, nutrients, and herbicides for precision agriculture.
Experimental Method to Estimate the Density of Passengers on Urban Railway Platforms
Authors: Aguayo Paulo , Seriani Sebastian , Delpiano Jose , Farias Gonzalo , Fujiyama Taku , Velastin Sergio A.
Published: January 2023

The platform–train interface (PTI) is considered a complex space where most interactions occur between passengers boarding and alighting. These interactions are critical under crowded conditions, affecting the experience of traveling and therefore the quality of life. The problem is that urban railway operators do not know what the density at the PTI is in real time, and therefore it is not possible to obtain a measure of the personal space of passengers boarding and alighting the train. To address this problem, a new method is developed to estimate the density of passengers on urban railway platforms using laboratory experiments. In those experiments, the use of computer vision is attractive, through the training of neural networks and image processing. The experiments considered a mock-up of a train carriage and its adjacent platform. In the boarding process, the results showed that the density using Voronoi polygons reached up to a 300% difference compared to the average values of density using Fruin’s Level of Service. However, in the case of alighting, that difference reached about 142% due to the space available for wheelchair users who needed assistance. These results would help practitioners to know where passengers are located at the PTI and, therefore, which part of the platform is more congested, requiring the implementation of crowd management measures in real time. Further studies need to include other types of passengers and different situations in existing stations.
Life Cycle Assessment of Natural Zeolite-Based Warm Mix Asphalt and Reclaimed Asphalt Pavement
Authors: Martinez-Soto Aner , Calabi-Floody Alejandra , Valdes-Vidal Gonzalo , Hucke Andrea , Martinez-Toledo Camila
Published: January 2023

Today, an important part of paved surfaces in the world uses asphalt mixtures. This practice increases the use of aggregates and fossil fuels, the availability of which is limited. Most of the studies referring to asphalt mixtures reported and compared the mechanical performances without detailing the environmental impacts of the different technologies proposed. The objective of this study was to present and compare through a life cycle assessment using a “cradle-to-gate” approach of different types of asphalt mixtures designed for the same performance, hot mix asphalt (HMA) as a control sample, and warm mix asphalt (WMA) using natural zeolite, Evotherm® and reclaimed asphalt material (RAP) in different proportions. The analysis was performed using SimaPro 9 software, using the ReCiPe method version 1.11. For the comparison of the environmental impacts, 1 ton of asphalt mixture was used as a functional unit. The most relevant results show that the use of natural zeolite or Evotherm® helps to reduce environmental impacts. In the global warming impact category, the decrease between the standard HMA and a mix with RAP and natural zeolite was 8%, while in the fossil fuel depletion, the decrease was 13%.
Energy Management Strategy for Optimal Sizing and Siting of PVDG-BES Systems under Fixed and Intermittent Load Consumption Profile
Authors: Khenissi Imene , Guesmi Tawfik , Marouani Ismail , Alshammari Badr M. , Alqunun Khalid , Albadran Saleh , Rahmani Salem , Neji Rafik
Published: January 2023

Advances in PV technology have given rise to the increasing integration of PV-based distributed generation (PVDG) systems into distribution systems to mitigate the dependence on one power source and alleviate the global warming caused by traditional power plants. However, high power output coming from intermittent PVDG can create reverse power flow, which can cause an increase in system power losses and a distortion in the voltage profile. Therefore, the appropriate placement and sizing of a PVDG coupled with an energy storage system (ESS) to stock power during off-peak hours and to inject it during peak hours are necessary. Within this context, a new methodology based on an optimal power flow management strategy for the optimal allocation and sizing of PVDG systems coupled with battery energy storage (PVDG-BES) systems is proposed in this paper. To do this, this problem is formulated as an optimization problem where total real power losses are considered as the objective function. Thereafter, a new optimization technique combining a genetic algorithm with various chaotic maps is used to find the optimal PVDG-BES placement and size. To test the robustness and applicability of the proposed methodology, various benchmark functions and the IEEE 14-bus distribution network under fixed and intermittent load profiles are used. The simulation results prove that obtaining the optimal size and placement of the PVDG-BES system based on an optimal energy management strategy (EMS) presents better performance in terms of power losses reduction and voltage profile amelioration. In fact, the total system losses are reduced by 20.14% when EMS is applied compared with the case before integrating PVDG-BES.
New Approaches to Project Risk Assessment Utilizing the Monte Carlo Method
Authors: Senova Andrea , Tobisova Alica , Rozenberg Robert
Published: January 2023

An environment of turbulence in the market in recent years and increasing inflation, mainly as a result of the post-COVID period and the ongoing military operation in Ukraine, represents a significant financial risk factor for many companies, which has a negative impact on managerial decisions. A lot of enterprises are forced to look for ways to effectively assess the riskiness of the projects that they would like to implement in the future. The aim of the article is to present a new approach for companies with which to assess the riskiness of projects. The basis of this is the use of the new Crystal Ball software tool and the effective application of the Monte Carlo method. The article deals with the current issues of investment and financial planning, which are the basic pillars for effective management decisions with the goal of sustainability. The article has verified a methodology that allows companies to make effective investment decisions based on assessing the level of risk. For practical application, the Monte Carlo method was chosen, as it uses sensitivity analysis and simulations, which were evaluated for two types of projects. Both simulations were primarily carried out based on a deterministic approach through traditional mathematical models. Subsequently, stochastic modeling was performed using the Crystal Ball software tool. As a result of the sensitivity analysis, two tornado graphs were created, which display risk factors according to the degree of their influence on the criterion value. The output of this article is the presentation of these new approaches for financial decision-making within companies.
Neuroscience Scaffolded by Informatics: A Raging Interdisciplinary Field
Authors: Papageorgiou Ismini E.
Published: January 2023

Following breakthrough achievements in molecular neurosciences, the current decade witnesses a trend toward interdisciplinary and multimodal development. Supplementation of neurosciences with tools from computer science solidifies previous knowledge and sets the ground for new research on “big data” and new hypothesis-free experimental models. In this Special Issue, we set the focus on informatics-supported interdisciplinary neuroscience accomplishments symmetrically combining wet-lab and clinical routines. Video-tracking and automated mitosis detection in vitro, the macromolecular modeling of kinesin motion, and the unsupervised classification of the brain’s macrophage activation status share a common denominator: they are energized by machine and deep learning. Essential clinical neuroscience questions such as the estimated risk of brain aneurysm rupture and the surgical outcome of facial nerve transplantation are addressed in this issue as well. Precise and rapid evaluation of complex clinical data by deep learning and data mining dives deep to reveal symmetrical and asymmetrical features beyond the abilities of human perception or the limits of linear algebraic modeling. This editorial opts to motivate researchers from the wet lab, computer science, and clinical environments to join forces in reshaping scientific platforms, share and converge high-quality data on public platforms, and use informatics to facilitate interdisciplinary information exchange.
Fresh Product Supply Chain Analysis in Cauca, Colombia — A Hass Avocado System Dynamics Approach
Authors: Anacona Mopan Yesid Ediver , Rubiano-Ovalle Oscar , Paz Helmer , Solis Pino Andrés Felipe , Chong Mario , Luna Ana
Published: January 2023

In recent years, agriculture has become an essential activity in Colombia, despite the challenges faced by farmers due to low yields and insufficient resources to improve their main activities, such as irrigation systems, agricultural practices, and industrial machinery. This Hass avocado approach has been addressed in previous research considering system dynamics simulation to evaluate farmers’ behavior strategies and improve their competitiveness. However, these studies typically examine a single strategy effect and avoid multiple integrated strategies. Other studies focused on the complex interactions between different factors in the production chain and their feedback effects on farmers’ productivity and cash flow. For these reasons, this research provides a comprehensively dynamic model and evaluates long-term strategies and their effects on supporting and improving small farmers’ productivity and profitability. A system dynamics methodology was used to model complex systems processing Hass avocado farmer association data and explore their effects on competitiveness for long-term sustainable and profitable agriculture. This research proposes optimal scenarios for small farmers, including strategies such as low-interest credit access, logistics practices, and government technical support. The scenarios provide a proactive tool for decision makers and promote rural farmers’ development, aligning high-quality fresh product supply and demand.
Hematological and Clinical Features Associated with Initial Poor Treatment Outcomes in Visceral Leishmaniasis Patients with and without HIV Coinfection in Gondar, Northwest Ethiopia
Authors: Ademe Muluneh , Osorio Yaneth , Howe Rawliegh , Atnafu Saba , Mulaw Tadele , Fikre Helina , Travi Bruno L. , Hailu Asrat , Melby Peter C. , Abebe Tamrat
Published: January 2023

Ethiopia is among the countries with a high leishmaniasis burden. In this retrospective review, we aimed to determine hematological and clinical features associated with initial poor treatment outcomes of visceral leishmaniasis (VL) patients. The majority of VL cases in this study had leucopenia (94.3%), thrombocytopenia (87.1%), and anemia (85.9%). HIV coinfection was present in 7.0% (n = 23) of VL cases. At the center, VL patients without HIV coinfection were treated with sodium stibogluconate and paromomycin combination, whereas HIV coinfected cases were treated with AmBisome and miltefosine combination therapy. End-of-treatment cure rates among HIV-positive and HIV-negative visceral leishmaniasis cases, respectively, were 52.2% and 96.9%. Case fatality rates were 34.8% and 2.7% in HIV-positive and HIV-negative cases, respectively. Overall, non-survivors in this study were more likely to have HIV (55.0% vs. 4.1%, p < 0.001), sepsis (15.0% vs. 1.4%, p = 0.019), and dyspnea (40.0% vs. 2.7%, p < 0.001) at admission. In this regard, particular attention to the management of superimposed disease conditions at admission, including sepsis, HIV, and dyspnea, is needed to improve VL patients’ treatment outcomes. The inadequacy of the current treatments, i.e., AmBisome and miltefosine combination therapy, for HIV coinfected visceral leishmaniasis patients requires further attention as it calls for new treatment modalities.
Molecular Evolution of RNA-Dependent RNA Polymerase Region in Norovirus Genogroup I
Authors: Zhou Nan , Huang Yue , Zhou Lu , Li Mingma , Jin Hui
Published: January 2023

Norovirus is the leading viral agent of gastroenteritis in humans. RNA-dependent RNA polymerase (RdRp) is essential in the replication of norovirus RNA. Here, we present a comprehensive evolutionary analysis of the norovirus GI RdRp gene. Our results show that the norovirus GI RdRp gene can be divided into three groups, and that the most recent common ancestor was 1484. The overall evolutionary rate of GI RdRp is 1.821 × 10−3 substitutions/site/year. Most of the amino acids of the GI RdRp gene were under negative selection, and only a few positively selected sites were recognized. Amino acid substitutions in the GI RdRp gene accumulated slowly over time. GI.P1, GI.P3 and GI.P6 owned the higher evolutionary rates. GI.P11 and GI.P13 had the faster accumulation rate of amino acid substitutions. GI.P2, GI.P3, GI.P4, GI.P6 and GI.P13 presented a strong linear evolution. These results reveal that the norovirus GI RdRp gene evolves conservatively, and that the molecular evolutionary characteristics of each P-genotype are diverse. Sequencing in RdRp and VP1 of norovirus should be advocated in the surveillance system to explore the effect of RdRp on norovirus activity.
Intensive Care during the COVID-19 Pandemic
Authors: Wang Ying , Jin Yuefei , Yang Haiyan
Published: January 2023

The novel coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in a sudden sharp rise in hospitalizations for pneumonia with multiorgan disease [...]
Modelling of the Innate and Adaptive Immune Response to SARS Viral Infection, Cytokine Storm and Vaccination
Authors: Leon Cristina , Tokarev Alexey , Bouchnita Anass , Volpert Vitaly
Published: January 2023

In this work, we develop mathematical models of the immune response to respiratory viral infection, taking into account some particular properties of the SARS-CoV infections, cytokine storm and vaccination. Each model consists of a system of ordinary differential equations that describe the interactions of the virus, epithelial cells, immune cells, cytokines, and antibodies. Conventional analysis of the existence and stability of stationary points is completed by numerical simulations in order to study the dynamics of solutions. The behavior of the solutions is characterized by large peaks of virus concentration specific to acute respiratory viral infections. At the first stage, we study the innate immune response based on the protective properties of interferon secreted by virus-infected cells. Viral infection down-regulates interferon production. This competition can lead to the bistability of the system with different regimes of infection progression with high or low intensity. After that, we introduce the adaptive immune response with antigen-specific T- and B-lymphocytes. The resulting model shows how the incubation period and the maximal viral load depend on the initial viral load and the parameters of the immune response. In particular, an increase in the initial viral load leads to a shorter incubation period and higher maximal viral load. The model shows that a deficient production of antibodies leads to an increase in the incubation period and even higher maximum viral loads. In order to study the emergence and dynamics of cytokine storm, we consider proinflammatory cytokines produced by cells of the innate immune response. Depending on the parameters of the model, the system can remain in the normal inflammatory state specific for viral infections or, due to positive feedback between inflammation and immune cells, pass to cytokine storm characterized by the excessive production of proinflammatory cytokines. Finally, we study the production of antibodies due to vaccination. We determine the dose–response dependence and the optimal interval of vaccine dose. Assumptions of the model and obtained results correspond to the experimental and clinical data.
The Effects of Respiratory Vaccine Type and Timing on Antibody Titers, Immunoglobulins, and Growth Performance in Pre- and Post-Weaned Beef Calves
Authors: Matty Jeff M. , Reddout Cassidy , Adams Jordan , Major Mike , Lalman David , Biggs Rosslyn , Salak-Johnson Janeen L. , Beck Paul A.
Published: January 2023

In order to examine the effects of vaccine type and timing of crossbred beef calves (n = 151) were assigned to one of three BRD vaccination protocols stratified by breed of sire, sex, and date of birth, which included: (1) KM—a pentavalent killed viral (KV) vaccine at 2 to 3 months of age (D 0) and a pentavalent modified-live viral (MLV) vaccine at weaning (D 127); (2) MM—MLV on D 0 and revaccinated on D 127 or (3) WN—MLV at weaning and D 140. Vaccination treatment did not affect performance nor BRSV serum-neutralizing antibody titers. Serum-neutralizing antibody titers to BVDV-1 were greatest for the MM through D 154. However, following booster (KM) or initial vaccination (WN) at D 127, titers increased for the other treatment groups to higher values (KM) by the end of the study. Delay of initial vaccination until weaning may have delayed specific antibody response in the WN group and skewed the immune response towards a Th-1 or cell-mediated response. Overall, the inclusion of an MLV in the vaccine protocol resulted in a more robust antibody response, and the timing of vaccination may affect the onset of efficacious and robust vaccine responses.
Assessing Groundwater Evolution with a Combined Approach of Hydrogeochemical Modelling and Data Analysis: Application to the Rhodope Coastal Aquifer (NE Greece)
Authors: Tziritis Evangelos , Sachsamanoglou Ekaterini , Aschonitis Vassilis
Published: January 2023

Assessing the hydrogeochemical evolution of groundwater is a challenging task, which is further exacerbated when considering the multiple geogenic and anthropogenic impacts that affect its quality and the hydraulic interactions between different aquifer bodies. This study combined hydrogeochemical modelling and data analysis to assess this complex hydrogeological regime. Before modelling, the groundwater samples were clustered using a multivariate statistical method (hierarchical cluster analysis (HCA)). Then, the Geochemist Workbench (GWB) software was applied to model the hydrogeochemical groundwater evolution, including the dominant ion exchange process, and to explain the changes in groundwater chemistry towards its flow. The input data consisted of five key parameters from seventy-seven sampling points collected in two periods (accounting for the start and the end of the irrigation period). A data analytical approach based on the optimal mixing ratios between the interacting groundwater systems and recharge inputs was also performed as part of the methodological approach. It revealed a progressively temporal-dependent behaviour of the aquifer system during the irrigation period, resulting in seasonal changes in the hydrodynamic conditions and depletion of the upper aquifer layers. Specifically, the aquifer system was confirmed to undergo cation exchange as the dominant geochemical process that increases calcium concentrations. The complex hydrogeological regime was further evaluated by assessing the mixing ratios of the different aquifer layers. Hence, the aquifer system (bulk samples) was mixed with the irrigation water by 71% and 97% and with the lateral recharge by 76% and 29% for the beginning and at the end of the irrigation period, respectively. Overall, the joint assessments were confirmed by the hydrogeochemical status of the end-members and the modelling approach and explained the sequential changes in groundwater chemistry due to the dominant ion-exchange process and the mixing of different water bodies. The proposed methodological approach proved that it could be used as an exploratory and preliminary method for capturing the temporal dynamics in complex groundwater systems and supporting groundwater resource management.
State of Health Estimation Method for Lithium-Ion Batteries via Generalized Additivity Model and Transfer Component Analysis
Authors: Lin Mingqiang , Yan Chenhao , Zeng Xianping
Published: January 2023

Battery state of health (SOH) is a momentous indicator for aging severity recognition of lithium-ion batteries and is also an indispensable parameter of the battery management system. In this paper, an innovative SOH estimation algorithm based on feature transfer is proposed for lithium-ion batteries. Firstly, sequence features with battery aging information are sufficiently extracted based on the capacity increment curve. Secondly, transfer component analysis is employed to obtain the mapping that minimizes the data distribution difference between the training set and the test set in the shared feature space. Finally, the generalized additive model is investigated to estimate the battery health status. The experimental results demonstrate that the proposed algorithm is capable of forecasting the SOH for lithium-ion batteries, and the results are more outstanding than those of several comparison algorithms. The predictive error evaluation indicators for each battery are both less than 2.5%. In addition, satisfactory SOH estimation results can also be obtained by only relying on a small amount of data as the training set. The comparative experiments using traditional features and different machine learning methods also testify to the superiority of the proposed algorithm.
Design of a High Performance Fiber-producing Machine
Authors: Fábián Hunor , Gergely Attila
Published: January 2023

The aim of this work is to design a high-productivity, continuously operating fiber producing device utilizing the centrifugal force to yield polymeric nanofibers. The requirements for the design were 1) to provide a capillary-to-collector distance of 50–200 mm that could be adjusted automatically, 2) allow the rotational speed of the spinneret to be changed in the range of 0–25000 1/min and have continuous feeding. The equipment will form the basis of several research topics, such as the creation and study of solid dispersions of drugs, the development of pressure sensors, and the creation of porous filter membranes.
Analysis of the Harmful Effects of UV Radiation Generated During Welding
Authors: Schramkó Márton , Kafi Abdallah , Kovács Tünde Anna
Published: January 2023

Arc welding produces several harmful health effects on the welder. The authors aimed to determine the intensity of ultraviolet (UV) radiation as a function of distance from the welding. The research focused on the UV radiation generated during the arc welding process as it is a widely used process in industrial practice today. During the experiment, several tests were performed on the gas metal arc welding process (GMAW). This procedure is also used automated in the industry, so research can help to designate a specific safety zone in an industrial area so that there is no need to separate the welder robot with a curtain, but at the same time be able to move around them. Where the production is not fully automated yet, it highlights the problems which cause possible damage to health and helps create safer working conditions.
Réflexions sur le dictionnaire thématique : Le Russe contemporain, des mots à l'expression
Authors: Enderlein Évelyne
Published: January 2023

The Russian­French Thematic Dictionary of Contemporary Words and Expressions (Le Russe contemporain, des mots à l’expression, Lexique thématique) edited by Évelyne Enderlein. The article describes the structure and content of this thematic dictionary. It presents the most up to date vocabulary, expressions and syntax that are relevant to all spheres of political, economic and social life. The purpose is to help medium and advanced level users to understand, speak, and write on all these topics.
Design of Solid Electrolytes with Fast Ion Transport: Computation-Driven and Practical Approaches
Authors: Tufail Muhammad Khurram , Zhai Pengbo , Jia Mengyang , Zhao Ning , Guo Xiangxin
Published: January 2023

For next-generation all-solid-state metal batteries, the computation can lead to the discovery of new solid electrolytes with increased ionic conductivity and excellent safety. Based on computational predictions, a new proposed solid electrolyte with a flat energy landscape and fast ion migration is synthesized using traditional synthesis methods. Despite the promise of the predicted solid electrolyte candidates, conventional synthetic methods are frequently hampered by extensive optimization procedures and overpriced raw materials. It is impossible to rationally develop novel superionic conductors without a comprehensive understanding of ion migration mechanisms. In this review, we cover ion migration mechanisms and all emerging computational approaches that can be applied to explore ion conduction in inorganic materials. The general illustrations of sulfide and oxide electrolyte structures as well as their fundamental features, including ion migration paths, dimensionalities, defects, and ion occupancies, are systematically discussed. The major challenges to designing the solid electrolyte and their solving strategies are highlighted, such as lattice softness, polarizability, and structural disorder. In addition to an overview of recent findings, we propose a computational and experimental approach for designing high-performance solid electrolytes. This review article will contribute to a practical understanding of ion conduction, designing, rapid optimization, and screening of advanced solid electrolytes in order to eliminate liquid electrolytes.
Arkhe ve Töz Kavramı Üzerine: Thales, Anaksimandros ve Anaksimenes
Authors: YARDIMCI Alper Bilgehan , GÜDÜCÜ Fatma
Published: January 2023

Bu makalede, Milet Okulu doğa filozoflarının ontolojileri çerçevesinde töz hakkındaki görüşlerine yer verilmektedir. Buna göre, öncelikle, töz kavramının felsefi tartışmalarda neden farklı şekillerde ele alındığını açıklamak için kavramın kökeni ve çeşitli anlamlarına yönelik tespitler aktarılmaktadır. Bu tespitlerden hareketle, Thales, Anaximandros ve Anaximenes'in her şeyin ilk ilkesi (arkhe) arayışında ulaştıkları sonuçların töz olarak kabul edilebileceği ve onların farklı nitelikte olan bu tözlerinin felsefi töz kavramının çeşitli özelliklerine atıfta bulunduğu ortaya konulmaktadır. Nihai olarak, makalenin amacı Miletli filozofların töze ilişkin kavrayışlarının birbirine paralel olduğunu, ancak töze atfettikleri özelliklerin farklılaştığını ve bu noktada Anaksimenes’in töz kavrayışının diğer düşünürlere oranla daha kapsayıcı olduğunu ortaya koymaktır.
Examining the Effect of Out-of-Class Activities on Core Competency Development of Undergraduate Students: Focusing on Differential Effect of First-Generation College Students
Authors:   INSTITUTE FOR EDUCATIONAL RESEARCH, Jeon Seokjean , Paik Chanyoung , Lee Seungmin , Rhee Byung Shik
Published: January 2023

This study aimed to examine the effect of undergraduate students’ participation in out-of-class activities on the development of core competencies. Multiple regression analysis was performed on 1,827 undergraduate students from the 7th and 8th waves of the Korean Education Longitudinal Survey 2005 of the Korean Educational Development Institute. Samples were divided into two groups according to whether they were first-generation college students and group analysis was performed. This study found that student-faculty interactions had a significant effect on the development of core competencies of students. Second, the effect of student-faculty interactions on communicative competency and self-management competency was significant only in the first-generation college students. Based on the findings, institutional policy implications for enhancing core competencies of undergraduate students in general, first-generation college students in particular were discussed.
Fistula Karotid-Kavernosa Spontan Bilateral
Authors: Pratidina Dining , Hidayat M
Published: January 2023

Pendahuluan : Fistula karotid-kavernosa (carotid cavernous fistule/CCF) adalah adanya komunikasi abnormal antara arterial karotis dengan sinus kavernosus. CCF dibagi menjadi high-flow dan low-flow, spontaneous dan trauma, serta direk dan indirek. Penatalaksanaan konservatif efektif pada pasien CCF indirek, spontan, dan low flow.
Tujuan : Untuk melaporkan kasus CCF bilateral yang indirek, spontan, dan low flow
Presentasi Kasus : Perempuan, 55 tahun datang ke poliklinik Neurooftalmologi pada 17 April 2018 dengan oftalmoplegi, protusio, penurunan penglihatan, dan kemerahan kedua mata sejak 2 minggu terakhir tanpa riwayat trauma. Terdapat edem palpebra dan kemosis bilateral. VODS 6/9. Terdapat esotropia OD dengan oftalmoparesis ke superolateral and inferior. TIO OS 26 mmHg dengan oftalmoplegia. GDP 300 mg/dl, kolesterol 239 mg/dl, dan trigliserida 291 mg/dl. CT angiografi menunjukkan dilatasi vena oftalmika superior bilateral dan terdapat hubungan antara arteri karotis interna dan sinus kavernous. Pasien didiagnosis CCF spontan bilateral, diterapi dengan kompresi manual arteri karotis interna, timolol 2x sehari pada mata kiri, dan metformin 3x500mg.
Hasil : Setelah 2-3 bulan terdapat perbaikan yaitu VODS 6/6 dan hilangnya edem palpebra serta kemosis. Terdapat juga perbaikan gerak ocular, hanya tersisa abduksi pada mata kiri. GDP: 109mg/dl, kolesterol: 187mg/dl, dan trigliserida: 193mg/dl.
Kesimpulan : CCF indirek sering terjadi spontan dan dikaitkan dengan penyakit sistemik. CCF indirek ini umumnya dapat sembuh dengan penatalaksanaan konservatif.
Resolusi Neuroretinitis dengan Terapi Ciprofloxacin
Authors: Syauqie Muhammad
Published: January 2023

Pendahuluan : Neuroretinitis merupakan suatu sindrom klinis yang ditandai dengan penurunan visus unilateral akut dengan makulopati eksudatif berupa hard exudates yang tersusun dalam pola bintang di sekitar fovea. Pada artikel ini, penulis mempresentasikan suatu kasus neuroretinitis yang memperlihatkan outcome yang baik setelah pemberian terapi ciprofloxacin.
Presentasi kasus : Seorang pasien perempuan, umur 18 tahun, datang dengan keluhan utama berupa penglihatan mata kiri kabur. Visus mata kiri saat presentasi awal yaitu 1/300 dan pada funduskopi hanya didapatkan edema papil nervus optik disertai perdarahan peripapil. Pasien diberikan metilprednisolon intravena secara intravena selama 3 hari namun tidak didapatkan perbaikan gejala klinis. Pada follow up hari keempat, muncul gambaran macular star pada funduskopi yang khas untuk neuroretinitis dan diberikan terapi ciprofloxacin. Setelah pemberian ciprofloxacin selama 2 minggu didapatkan perbaikan visus menjadi 5/60 dengan visus akhir pada follow up bulan ketiga menjadi 6/12.
Kesimpulan : Meskipun neuroretinitis bersifat self-limited tapi pada kasus ini pemberian ciprofloxacin mempercepat perbaikan visus dan resolusi dari edema papil nervus optik dan makula. Tiga bulan pasca presentasi awal juga tidak menunjukkan adanya sekuele berupa gangguan penglihatan warna atau penurunan sensitivitas kontras.
A dual-mode miniature wireless system for lensless CMOS-based bioimaging devices
Authors: Treepetchkul Thanaree , Siwadamrongpong Ronnakorn , Tan Renzo Roel P. , Takehara Hironari , Haruta Makito , Tashiro Hiroyuki , Sasagawa Kiyotaka , Ohta Jun
Published: January 2023

In this paper, a miniature wireless system for use in conjunction with original lensless CMOS-based imaging devices is developed for in vivo imaging experiments. The system mainly comprises an image sensor, a microcontroller, and a Bluetooth Low Energy module for wireless data transmission. In addition to the hardware suitable for studies imposing freely-moving conditions, image sampling and processing features are implemented. Results demonstrate readiness for imaging in vivo, with adequate data transfer speed for a 12 × 12 pixel region of interest with an area of 180 × 180 μm2.
Efficient optimization approach for designing power device structure using machine learning
Authors: Yamano Hayate , Kovacs Alexander , Fischbacher Johann , Danno Katsunori , Umetani Yusuke , Shoji Tetsuya , Schrefl Thomas
Published: January 2023

Low power-loss semiconductor devices are necessary to achieve a carbon-neutral society. The optimization of device structures is known as a time-consuming process. In this work, we investigated an optimization approach with the help of machine learning. We applied an active learning scheme to optimize a gallium oxide Schottky barrier diode structure and demonstrated how this approach helps to reduce the number of time-consuming simulations for the optimization process. For the investigated work, the active learning strategy almost reduced the number of simulations by a factor of 2 in contrast to the conventional genetic optimization. In addition, we also demonstrated that machine learning models can be used to estimate the performance variations caused by process variations. This approach can also contribute to reducing the number of simulations and speeding up the structure design process.
Gate-tunable plasticity in artificial synaptic devices based on four-terminal amorphous gallium oxide memristors
Authors: Ikeuchi Taishi , Hayashi Yusuke , Tohei Tetsuya , Sakai Akira
Published: January 2023

This paper reports on the demonstration of gate-tunable plasticity in artificial synaptic devices based on four-terminal planar memristors with amorphous gallium oxide as a memristive material. Reproducible resistance switching properties were obtained by applying voltages to the four terminals, indicating two-dimensional modulation of oxygen vacancy distribution. Based on the resistive switching properties, gate-tunable synaptic plasticity was successfully implemented by assigning read/write and gate roles to two pairs of diagonally arranged electrodes. Multilevel modulation of conductance change efficiency was demonstrated, mimicking neural functions of both excitatory principal neurons and inhibitory interneurons required for homeostatic plasticity in biological neural networks.
Stokes linewidth narrowing by stimulated Brillouin scattering in liquid media
Authors: Wang Jianping , Bai Zhenxu , Hun Xuanning , Chen Bin , Cui Can , Qi Yaoyao , Ding Jie , Yan Bingzheng , Wang Yulei , Lu Zhiwei
Published: January 2023

As an effective means to obtain a narrow-linewidth laser, stimulated Brillouin scattering (SBS) has not only the advantages of pulse compression but also controllable Stokes linewidth output. However, most research thus far has been focused on continuous-wave lasers, with little emphasis on short-pulse lasers. This work demonstrates that the Brillouin gain linewidth and pump power density are the primary factors affecting the linewidth of the Stokes pulse. As the pump power density increases, the Stokes linewidth tends to narrow and approaches the pump linewidth. This is the first study to reveal that the pump linewidth is the limiting factor in narrowing the Stokes linewidth. The Stokes linewidths of different liquid media were compared, and it was found that media with a wide Brillouin gain linewidth can be used to obtain lasers with a wider range of linewidths.
Analisis Pengaruh Kebijakan Keuangan Terhadap Profitabilitas dengan Kebijakan Penurunan Tarif PPh Badan Sebagai Variabel Moderasi
Authors: Anggraini Riztari , Rokhmawati Andewi , Nurmayanti Poppy
Published: January 2023

This study aims to examine the effect of financial management policies on profitability. Apart from that, the effect of each independent variable on the dependent was tested with a decrease in corporate income tax rates as a moderating variable. The population in this study are manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2020. There are 96 samples that meet the following criteria; manufacturing companies whose 2019 and 2020 financial statements are available on the IDX, manufacturing companies that do not suffer losses and manufacturing companies that do not have interest write-off income on debt restructuring. This research was analyzed using Multiple Regression Analysis. The results of this study state that the dividend distribution policy has a positive effect on profitability, an increase in debt has a negative effect on profitability, an increase in investment has a positive effect on profitability, a decrease in corporate income tax rates is not able to moderate the effect of dividend distribution policies on profitability, a decrease in corporate income tax rates can strengthen the effect of funding policy on profitability, lower corporate income tax rates weakened the effect of funding policy on profitability.
Analisis Faktor yang Mempengaruhi Pebisnis Menggunakan Media Sosial Instagram Sebagai Sarana Promosi
Authors: Sibtiyah Shobah , Latief Muhammad Jamil
Published: January 2023

Online business competition (E-Commerce) in the business ecosystem has been massive because of its promising market potential. Instagram is a type of social media that is present in the community and seems to be used optimally as a marketing tool. But the debate about what factors stimulate business people to use it as a promotional medium is still being debated. So this study aims to determine what factors influence businessmen in using Instagram as a means of promotion. The study population came from businessmen who were confirmed to have business Instagram accounts in the East Jakarta area, non-probability sampling technique was used and obtained an observation sample of n = 33. Multiple linear regression analysis was used as an analytical knife with the independent variables Low Cost (X1), Feature Reliability (X2), and Target Consumers (X3), as well as the dependent variable of businessmen's decisions (Y). The results of the research H1 and H2 are accepted (X1 and X2 have an effect on Y), H3 is rejected (X3 has no effect on Y), H4 is accepted (X1, X2, and X3 simultaneously affect Y), and the R2 value is 60.2%. The research implication suggests that business people who use Instagram should pay attention to these factors in order to optimize promotions.