bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH PENGGUNAAN MEDIA AUDIO VISUAL TERHADAP MENULIS KARANGAN DESKRIPSI PADA SISWA KELAS VII SMP NEGERI 32 PALEMBANG
Authors: Salsabila Salsabila , Hetilaniar Hetilaniar , Masnunah Masnunah
Published: August 2023

The purpose of this study was to determine the influence of the use of audio media on writing descriptive text essays for class VII students of SMP Negeri 32 Palembang. The ability of students in descriptive text material for class VII students of SMP Negeri 32 Palembang is still lacking because the interest in learning or the media used is not varied. The focus of this study is to identify whether there is an effect of using audio-visual media on writing descriptive text essays. The results of this study indicate that the use of audio-visual media has an effect on writing descriptive essays in class VII students of SMP Negeri 32 Palembang. It can be seen from the results of the T test that the significance value of the variable is 0.002≤0.05. This means that there is a significant effect of learning audio-visual media on the ability to write descriptive text for class VII students of SMP Negeri 32 Palembang. So it can be concluded that audio-visual media has a significant influence on the ability to write descriptive text so that it can achieve good and optimal learning.
Keywords: Audio Visual Media, Writing Essay Description
Оptimization of fertilizer and foliar feeding winter rape (Brassica napus L.) in the Western Polissia
Authors:   Institute of Agriculture of Western Polissia NAAS, Kurach A. V. , Lukashchuk L. Ya. ,   Institute of Agriculture of Western Polissia NAAS, Zlotenko O. Yu. ,   Institute of Agriculture of Western Polissia NAAS, Gen S. P. ,   Institute of Agriculture of Western Polissia NAAS
Published: August 2023

Topicality. Significant changes in market conditions and disruptions in the sown area structure in Ukraine require to search for optimal and cost-effective systems of fertilisation and crop management for modern varieties and hybrids of winter rape. The application of sulphur fertilisers, ammonium nitrate in early spring fertilisation and foliar feeding with growth stimulants and microfertilisers improves winter rape growth and development, yield structure and productivity. Purpose. To develop innovative agrotechnical practices involving the compound fertilizers, microfertilizers, growth stimulants, aimed to realize the high yield potential of winter rape in the Western Polissia. Methods. The research was carried out at the Institute of Agriculture of Western Polissia on a typical low-humus light loamy chernozem. General scientific methods and analyses were used to compare the factors under study: field method was used to determine the fertiliser efficiency; visual, measuring and weighing method; laboratory method; comparative and calculation method; statistical method. The results. It was found that on winter rape crops, the best degree of overwintering was 85.5–88.8 % and 83.0–86.0 % for fertilisation with N35P90K120 + N85S40 + N30 and N35S60K90 + N85, compared to N35P60K90 + N85, where these indicators are within 77.3–77.7 %. The highest survivability of plants during the growing season was 98.4–98.6 %, when N35P90K120 + N85S40 + N30 was applied together with foliar feeding (Huliver Stymul + Avanhard Silicon Bio (1.0 + 1.0 l/ha) and Huliver Stymul + Avanhard P Phosphorus + Potassium (1.0 + 0.6 l/ha) in the rosette phase and the beginning of budding. The largest number of pods per plant is 121.5–124.0 pcs, the number of seeds per pod is 24.1–24.7 pcs, the thousand seed weight – 4.54–4.56 g was observed for fertilisation with N35P90K120 + N85S40 + N30 with two foliar feeding with Huliver Stymul + Avanhard Silicon Bio (1.0 + 1.0 l/ha) and Huliver Stymul + Avanhard P Phosphorus + Potassium (1.0 + 0.6 l/ha). The maximum yield of 4.45 t/ha was obtained with fertiliser of N35P90K120 + N85S40 + N30 and foliar feeding with Huliver Stymul + Avanhard P Phosphorus + Potassium (1.0 + 0.6 l/ha). Conclusions. It was found that early spring application of ammonium sulphate N35S40 and ammonium nitrate N50–85 kg/ha was an effective method to increase the winter rape yield to 4.45 t/ha, the increase in yield due to fertilisation varied within 5.1–15 %. When foliar feeding with a growth stimulator and microfertilisers was applied two times in the spring rosette and flower budding stage, the yield increase ranged from 2.8 to 16.5 %. Key words: winter rape, fertilization system, foliar feeding, productivity
Violation of the Right to Private and Family Life in Case of Lack of Official Recognition of Same-sex Relationships
Authors: Spirchez Georgeta-Bianca
Published: August 2023

The present study focuses on presenting the positive obligations of the signatory states of the European Convention on Human Rights, under Art. 8 of the Convention, to provide a legal framework enabling same-sex couples to enjoy adequate legal protection of their relationship. In order to achieve the proposed research objective, we considered the most recent cases before the European Court of Human Rights, namely the case of Buhuceanu et al. against Romania, respectively the case of Fedotova against Russia.
Optimizing transaction data performance in database management systems
Authors:   Universitas Islam Negeri Alauddin Makassar, Hartono Nahrun , Masyhur Zulkarnaim ,   Universitas Islam Negeri Alauddin Makassar
Published: August 2023

One indicator of the quality of an information system is the speed of data processing. A database's most common data processing operations are adding, displaying, changing, and deleting data. The amount of data stored in the database significantly impacts the performance of data processing and, therefore, the performance of information systems. The update command changes some or all of the data in a table. The update command works by retrieving the data in the table to be changed, entering the new data in a form, and then sending it back to the database. The update command is often combined with a condition specifying which data rows must be changed. This research is an experimental study that compares the use of the update command with a stored procedure to the use of the update command without a stored procedure. The results showed that the average processing time for the update command with the stored procedure was 348.896 milliseconds for the minimum data category, 266.462 milliseconds for the medium data category, and 279.543 milliseconds for the maximum data category. The average processing time for the update command without a stored procedure was 297.132 milliseconds for the minimum data category, 747.670 milliseconds for the medium data category, and 1256.273 milliseconds for the maximum data category. These results suggest that the update command with a stored procedure is more efficient than the one without a stored procedure. This is because the stored procedure can pre-compile the SQL statement, which reduces the time it takes to execute the statement.
First Successes and Failures of Universities Participating in “Leadership in the Region and/or Industry” Track of the “Priority 2030” Program
Authors: Guseva A. I. , Kalashnik V. M. , Kaminsky V. I. , Kireev S. V.
Published: August 2023

The article presents the results of quantitative indicators analysis of the main activities of three groups of universities participating in the “Priority 2030” program of the “Leadership in the region and/or industry” track (hereinafter referred to as the territorial and industrial track) during the first year of their development programs implementation. The Displaced Ideal Method was used in the research. Dynamics of indicators series of special and basic parts has being analyzed for universities groups in 2017-2021. The strengths and weaknesses of the universities groups of the territorial and industrial track are revealed. It was established that the special indicators values achieved by universities during the first year had a significant impact on the assessment of the Council for universities development programs support in frame of Priority-2030 Project, which taking into account the performances of the universities teams led to significant changes in the groups composition of the studied track – more than half of universities changed their positions. A number of reasons were considered that led to a change in universities’ positions in the groups of the researched track.
Research Culture of Russian University Students
Authors: Ambarova P. A. , Shabrova N. V. , Kemmet E. V. , Mikhailova A. N.
Published: August 2023

The article is devoted to the summarizing results of the sociological study of the re- search culture of students (February-April 2023, n=3,032 people). The aim of the article was to iden- tify its features and contradictions in the conditions of modern Russian universities. The productivity of the theoretical and methodological framework for studying this problem, developed on the basis of L.N. Kogan’s approach, is argued. The article proposes to consider the research culture as a way of developing the essential forces of students and to identify its structural elements such as cognitive, axiological and praxeological. In accordance with the theoretical and methodological approach, the characteristic of the research culture of students is given. The results of the survey allowed us to conclude that the majority of students have an interest in science and scientific knowledge as values, and at the same time – about the formation of a critical assessment of the risks that research produces among students who are active in scientific terms. The problem areas of students’ research competencies that prevent the “seamless” integration of student and “adult” science, including meth- odological and organizational ones, have been identified. Such problematic features of the praxe- ological block of students’ research culture as their low involvement in publication practices and tol- erance to unethical research practices are shown. The significant influence of teachers and scientific mentors performing activating and socializing functions on the formation of the research culture of students is substantiated. The practical significance of the research lies in a comprehensive under- standing of the state of the research culture of students of Russian universities, identifying factors that influence (positively or negatively) its formation and development. On this basis, it is possible to develop scientifically based programs for the academic development of students, especially in terms of its scientific track.
Adaptive path planning for unknown environment monitoring
Authors: Gomathi Nandhagopal , Rajathi Krishnamoorthi
Published: August 2023

The purpose of this paper is to offer a unique adaptive path planning framework to address a new challenge known as the Unknown environment Persistent Monitoring Problem (PMP). To identify the unknown events’ occurrence location and likelihood, an unmanned ground vehicle (UGV) equipped with a Light Detection and Ranging (LIDAR) and camera is used to record such events in agriculture land. A certain level of detecting capability must be the distinct monitoring priority in order to keep track of them to a certain distance. First, to formulate a model, we developed an event-oriented modelling strategy for unknown environment perception and the effect is enumerated by uncertainty, which takes into account the sensor’s detection capabilities, the detection interval, and monitoring weight. A mobile robot scheme utilizing LIDAR on integrative approach was created and experiments were carried out to solve the high equipment budget of Simultaneous Localization and Mapping (SLAM) for robotic systems. To map an unfamiliar location using the robotic operating system (ROS), the 3D visualization tool for Robot Operating System (RVIZ) was utilized, and GMapping software package was used for SLAM usage. The experimental results suggest that the mobile robot design pattern is viable to produce a high-precision map while lowering the cost of the mobile robot SLAM hardware. From a decision-making standpoint, we built a hybrid algorithm HSAStar (Hybrid SLAM & A Star) algorithm for path planning based on the event oriented modelling, allowing a UGV to continually monitor the perspectives of a path. The simulation results and analyses show that the proposed strategy is feasible and superior. The performance of the proposed hyb SLAM-A Star-APP method provides 34.95%, 27.38%, 33.21% and 29.68% lower execution time, 26.36%, 29.64% and 29.67% lower map duration compared with the existing methods, such as ACO-APF-APP, APFA-APP, GWO-APP and PSO-APP.
Optimal Selection of Manufacturing Configurations Using Object-Oriented and Mathematical Data Models
Authors: Torayev Agajan , Wang Zi , Martínez-Arellano Giovanna , Chaplin Jack C. , Sanderson David , Ratchev Svetan
Published: August 2023

In this work, we optimize manufacturing configurations, i.e., the set of necessary assets, using the known capabilities and capacities of manufacturing equipment. In particular, the work provides an Object-Oriented data model and the translation of the Object-Oriented data model into a Mathematical data model for efficiently utilizing optimization algorithms. The main contribution is developing an optimization strategy for adapting to varying demand periods with the requested capability and capacity. The proposed methodology is validated in optimizing the planning for small-box hinged product assemblies in aerospace manufacturing, which can be assembled in a reconfigurable environment with common pick and place, drilling, fastening, and inspection procedures.
Empirical Findings on the Status Quo of Industrial Production Management Systems in the Context of Advancing Digitalization
Authors: Schmid Stefan , Winkler Herwig
Published: August 2023

Since the framework conditions of manufacturing companies change dynamically, production control must react to this and be adaptive and dynamically designed. Our article addresses the status quo of industrial production management systems in the context of advancing digitization. The aim is to examine the extent to which traditional systems for controlling and optimizing production systems have been supplemented by Industry 4.0 concepts. In the course of the scarcity of resources and the shortage of labor, the human factor is once again taking a central role. Against this background, the interaction between users / humans and artificial intelligence applications will be the main focus. The result should give an indication on whether or how this connection must be considered in the future and whether this interaction will play a central role. Furthermore, the possibilities and limitations of AI-based production control systems should be clarified. In addition, the questions of what can and what should artificial intelligence do in the context of production control arise. The findings will be the basis for future considerations of a smart production management system, which can be used for decision support as well as for auto-control.
Improvement of an Assembly Line in the Automotive Industry: A Case Study in Wiring Harness Assembly Line
Authors: Jebbor Ikhlef , Benmamoun Zoubida , Hachimi Hanaa , Raouf Youssef , Haqqi Mehdi , Akikiz Mehdi
Published: August 2023

Today industrial companies are subject to major and profound changes. It is constantly confronted with a world of ruthless competition that continually aims to improve quality, cost, and lead time. Each company works to satisfy the requirements of its customers and to do this, it continually improves its performance and controls its manufacturing processes from the reception of raw materials from the suppliers to the shipment of the final product to the customer. In this paper, the study focuses on the assembly area of an electrical wiring harness production line and adopts a Lean Manufacturing approach to reduce the time waste and improve the efficiency of this line of engine wiring harness using Line balancing and the work allowed an eliminate of Waiting Muda and increase the efficiency.
Reconfigurable Digital Twin Framework for Manufacturing Systems
Authors: Cai Hongxia , Wang Han , Rong Zhiqiang , Bian Yunqi , Chen Xiaoyu
Published: August 2023

Nowadays, modern manufacturing systems are becoming increasingly complex. They are exposed to more frequent and unpredictable risks of change and disruption, both external and internal. Reconfiguration is an important way for the manufacturing system to maintain stability, so we propose a reconfigurable digital twin system to enable it to cope with increasing uncertainty and instability. This paper investigates a unified description template for digital twin foundation components, enabling the fusion of digital objects at the layer of foundation components. On this basis, the methods for adjustment of internal and external changes are proposed. Also, a rapid development and simulation method based on reconfiguration strategies and similarity matching algorithms is proposed to support the reconfiguration of the digital twin. Finally, the proposed architecture is illustrated and validated with a case study of a manufacturing workshop for intelligent navigation vehicles.
Establishment and Implement of Digital Twin Model for an Intelligent Workshop
Authors: Guo Chaozhong , Li Xiang , Zhao Lizhong , Yan Jihong
Published: August 2023

For multi-variety and small batches production, great challenges have been brought to production organization and management of workshops. This paper proposes an establishment and implement framework of digital twin model for intelligent workshops, which mainly consists of four layers. The production behavior and rules of production factors in the workshop are digitally established. Interconnection and communication scheme between each layer are designed and established. At the application level of the digital twin model, the Automated Guided Vehicle (AGV) intelligent scheduling algorithm based on genetic algorithm is combined with Augmented Reality (AR) technology in order to realize visual intelligent scheduling of workshop logistics. And the efficiency of logistics scheduling can be improved. The validity of the proposed framework is verified in an actual production workshop.
Capacitated Vehicle Routing Problem with Delivery Options: Private or Shared Location
Authors: Saker Amira , Iijima Junichi , Ali Islam , Eltawil Amr
Published: August 2023

Last-mile delivery costs are increasingly growing due to the rapid growth in E-commerce and the proliferation of online shopping especially after COVID-19 crisis. Integrating shared location delivery systems with home delivery has been a new trend in tackling last mile delivery challenges. This paper studies the Capacitated Vehicle Routing Problem with Delivery Options (CVRPDO). In this problem, customers can choose between picking up their requests from a shared location or receiving them at their homes within a preferred time window. The problem is formulated mathematically to minimize the total delivery costs considering the customers’ preferences. Results include comparisons between delivery costs in the standard Capacitated Vehicle Routing Problem (CVRP) and those in the CVRPDO. Results demonstrate that the CVRPDO outperforms the CVRP by a considerable margin for varied-size instances providing a justification for substantial investment in establishing shared locations for delivery.
An Integrated k-Means Clustering and Bi-Objective Optimization Approach for External Trucks Scheduling in Container Terminals
Authors: Talaat Ahmed , Iijima Junichi , Gheith Mohamed , Eltawil Amr
Published: August 2023

This paper introduces an approach for optimal scheduling of external trucks in container terminals. The proposed approach integrates the k-means clustering algorithm with a bi-objective optimization model. The k-means clustering algorithm matches the export and import containers into tuples, reducing the number of empty trips. The optimization model objectives are: minimizing the deviation from the trucking companies’ preferred arrival times and minimizing the total truck turnaround times, while considering several essential aspects, such as yard resources capacity, congestion level, and trucking companies’ preferences. The results depict that the proposed approach reduces the total number of required trips by 31.58% and provides the decision-makers with a tradeoff between the total truck turnaround time and the deviation from the trucking companies’ preferred pickup time window.
Reconstruction of Convex Sets from One or Two X-rays
Authors: Gerard Yan
Published: August 2023

We consider a class of problems of Discrete Tomography which has been deeply investigated in the past: the reconstruction of convex lattice sets from their horizontal and/or vertical X-rays, i.e. from the number of points in a sequence of consecutive horizontal and vertical lines. The reconstruction of the HV-convex polyominoes works usually in two steps, first the filling step consisting in filling operations, second the convex aggregation of the switching components. We prove three results about the convex aggregation step: (1) The convex aggregation step used for the reconstruction of HV-convex polyominoes does not always provide a solution. The example yielding to this result is called the bad guy and disproves a conjecture of the domain. (2) The reconstruction of a digital convex lattice set from only one X-ray can be performed in polynomial time. We prove it by encoding the convex aggregation problem in a Directed Acyclic Graph. (3) With the same strategy, we prove that the reconstruction of fat digital convex sets from their horizontal and vertical X-rays can be solved in polynomial time. Fatness is a property of the digital convex sets regarding the relative position of the left, right, top and bottom points of the set. The complexity of the reconstruction of the digital convex sets which are not fat remains an open question.
On Taxicab Distance Mean Functions and their Geometric Applications: Methods, Implementations and Examples
Authors: Vincze Csaba , Nagy Ábris
Published: August 2023

A distance mean function measures the average distance of points from the elements of a given set of points (focal set) in the space. The level sets of a distance mean function are called generalized conics. In case of infinite focal points the average distance is typically given by integration over the focal set. The paper contains a survey on the applications of taxicab distance mean functions and generalized conics’ theory in geometric tomography: bisection of the focal set and reconstruction problems by coordinate X-rays. The theoretical results are illustrated by implementations in Maple, methods and examples as well.1
Optimized deep belief network and unsupervised deep learning methods for disease prediction
Authors: Shenbagavalli S.T. , Shanthi D.
Published: August 2023

Due to the vast amount of patient health data, automated healthcare systems still struggle to classify and diagnose various ailments. Learning redundant data also reduces categorization accuracy. A Deep Belief Network (DBN) has been used to precisely extract the most important aspects from clinical data by ignoring irrelevant/redundant features. Due of many learning variables, training is complicated. Similarly, the hybrid model has been employed by ensemble Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) to categorize diseases. But, its efficiency depends on the proper choice of kernels and hyper-parameters. Therefore, this paper develops an efficient feature extraction and classification model for healthcare systems. First, several medical data related to the patient’s health are collected. Then, an Optimized DBN (ODBN) model is presented for maximizing the accurateness of DBN by optimizing the learning variables depends on the Ant Lion Optimization (ALO) algorithm. With learning ODBN, the most relevant features are extracted with reduced computational complexity. After that, the CNN-LSTM with Unsupervised Fine-tuned Deep Self-Organizing Map (UFDSOM)-based classifier model is designed to categorize the extracted features into categories of illnesses. In this novel classifier, dropout normalization and parameter tuning processes are applied to avoid overfitting and optimize the hyper-parameters, which results in a less training period. In the end, studies utilizing publically accessible datasets show that the ODBN with CNN-LSTM-UFDSOM system outperforms classical models by 98.23%.
Outlier detection for incomplete real-valued data via rough set theory and granular computing
Authors: Zhao Zhengwei , Yang Genteng , Li Zhaowen , Yu Guangji
Published: August 2023

Outlier detection is an important topic in data mining. An information system (IS) is a database that shows relationships between objects and attributes. A real-valued information system (RVIS) is an IS whose information values are real numbers. People often encounter missing values during data processing. A RVIS with the miss values is an incomplete real-valued information system (IRVIS). Due to the presence of the missing values, the distance between two information values is difficult to determine, so the existing outlier detection rarely considered an IS with the miss values. This paper investigates outlier detection for an IRVIS via rough set theory and granular computing. Firstly, the distance between two information values on each attribute of an IRVIS is introduced, and the parameter λ to control the distance is given. Then, the tolerance relation on the object set is defined according to the distance, and the tolerance class is obtained, which is regarded as an information granule. After then, λ-lower and λ-upper approximations in an IRVIS are put forward. Next, the outlier factor of every object in an IRVIS is presented. Finally, outlier detection method for IRVIS via rough set theory and granular computing is proposed, and the corresponding algorithms is designed. Through the experiments, the proposed method is compared with other methods. The experimental results show that the designed algorithm is more effective than some existing algorithms in an IRVIS. It is worth mentioning that for comprehensive comparison, ROC curve and AUC value are used to illustrate the advantages of the proposed method.
An improved Interval-valued intuitionistic fuzzy MCGDM for the evaluation of agricultural products live-streaming e-commerce platform
Authors: Su Jiafu , Wang Dan , Xu Baojian , Zhang Fengting , Ling Xu
Published: August 2023

A crucial step for agricultural product merchants to achieve profitable and sustainable development in the live-streaming e-commerce age is evaluating the risk of the agricultural products live-streaming e-commerce platform. However, there isn’t much reliable research available right now on the risk evaluation of platforms. Therefore, this study suggests an improved risk evaluation method based on interval-valued intuitionistic fuzzy multi-criteria group decision-making (MCGDM). This method determines the decision-maker weight for the risk criterion according to the levels of professionalism of the decision-makers in the risk criterion and uses the VIse Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to rate the risk of the alternative agricultural products live-streaming e-commerce platforms. The viability and dependability of the approach described in this work are demonstrated using a case study. The strengths and weaknesses of this approach are illustrated by a comparative analysis. With the help of this paper, agricultural product merchants will be able to identify the live-streaming e-commerce platform that carries the least amount of overall risk and work toward the paper’s stated objectives of sustainable development in addition to developing and enhancing theoretical research findings in the field.
Cloud infrastructure availability optimization using Dragonfly and Grey Wolf optimization algorithms for health systems
Authors: Saini Monika , Maan Vijay Singh , Kumar Ashish , Saini Dinesh Kumar
Published: August 2023

Cloud infrastructure provides a real time computing environment to customers and had wide applicability in healthcare, medical facilities, business, and several other areas. Most of the health data recorded and saved on the cloud. But the cloud infrastructure is configured using several components and that makes it a complex structure. And the high value of availability and reliability is essential for satisfactory operation of such systems. So, the present study is conducted with the prominent objective of assessing the optimum availability of the cloud infrastructure. For this purpose, a novel stochastic model is proposed and optimized using dragonfly algorithm (DA) and Grey Wolf optimization (GWO) algorithms. The Markovian approach is employed to develop the Chapman-Kolmogorov differential difference equations associate with the system. It is considered that all failure and repair rates are exponentially distributed. The repairs are perfect. The numerical results are derived to highlight the importance of the study and identify the best algorithm. The system attains its optimum availability 0.9998649 at population size 120 with iteration 700 by GWO. It is revealed that grey wolf optimization algorithm performed better than the Dragonfly algorithm in assessing the availability, best fitted parametric values and execution time.
Enhanced Lion Optimization Algorithm and deep belief network for intrusion detection with SDN enabled IoT networks
Authors: Suresh Babu D. , Ramakrishnan M.
Published: August 2023

A severe problem that regularly affects cloud systems are intrusions. Ignore how the expansion of Internet of Things (IoT) devices will result in enormous intrusions. To distinguish intrusions from authorized network activity, detection is a crucial procedure. An Enhanced Lion Optimization Algorithm (ELOA) is utilized in this research, IoT intrusion detection system. Intrusions are classified using the Deep Belief Network (DBN) and an SDN controller technique. The proposed ELOA-based Intrusion Detection System uses the optimal weight in DBN to train the neurons to categorize the data in a network as normal and attacked during the training phase. In the testing step that follows training, data from nodes are examined, and by contrasting the training results, they are categorized as normal and attacked data. By using the proposed ELOA and DBN algorithms, our intrusion detection system can successfully identify intrusions. Based on the creation of blacklists for detecting IoT intrusions, the (SDN) Software Defined Networking controller can effectively prohibit harmful devices. In order to demonstrate that the proposed ELOA finds network intrusions more successfully, its performance is compared to that of other existing techniques. The node sizes of the algorithms are run and evaluated for 1000, 2000, 3000, 4000, and 5000 respectively. At highest node 5000, the Proposed ELOA and DPN have precision, recall, f-score and accuracy becomes as 97.8, 96.22, 97.5 and 98.67 respectively.
Can Digital Mobility Assessment Enhance the Clinical Assessment of Disease Severity in Parkinson’s Disease?
Authors: Kirk Cameron , Zia Ur Rehman Rana , Galna Brook , Alcock Lisa , Ranciati Saverio , Palmerini Luca , Garcia-Aymerich Judith , Hansen Clint , Schaeffer Eva , Berg Daniela , Maetzler Walter , Rochester Lynn , Del Din Silvia , Yarnall Alison J.
Published: August 2023

Background:

Real-world walking speed (RWS) measured using wearable devices has the potential to complement the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS III) for motor assessment in Parkinson’s disease (PD).

Objective:

Explore cross-sectional and longitudinal differences in RWS between PD and older adults (OAs), and whether RWS was related to motor disease severity cross-sectionally, and if MDS-UPDRS III was related to RWS, longitudinally.

Methods:

88 PD and 111 OA participants from ICICLE-GAIT (UK) were included. RWS was evaluated using an accelerometer at four time points. RWS was aggregated within walking bout (WB) duration thresholds. Between-group-comparisons in RWS between PD and OAs were conducted cross-sectionally, and longitudinally with mixed effects models (MEMs). Cross-sectional association between RWS and MDS-UPDRS III was explored using linear regression, and longitudinal association explored with MEMs.

Results:

RWS was significantly lower in PD (1.04 m/s) in comparison to OAs (1.10 m/s) cross-sectionally. RWS significantly decreased over time for both cohorts and decline was more rapid in PD by 0.02 m/s per year. Significant negative relationship between RWS and the MDS-UPDRS III only existed at a specific WB threshold (30 to 60 s, β= – 3.94 points, p = 0.047). MDS-UPDRS III increased significantly by 1.84 points per year, which was not related to change in RWS.

Conclusion:

Digital mobility assessment of gait may add unique information to quantify disease progression remotely, but further validation in research and clinical settings is needed.
How Do Academicians Publish More Research Papers for Their Promotion and Positions? A Scrutiny of CV
Authors: Amose Dr.T
Published: August 2023

The high number of publications by academicians raises doubts about how it is possible within their service period. Even if they start publishing work from their date of birth, it is still considered impossible. Therefore, this article emphasizes the scrutiny of CVs and reveals that academicians usually accomplish their work with the support of scholars/researchers. It seems that the work is typically not done solely by the efforts of academicians themselves. As a result, governments should take necessary steps to evaluate the CVs of academicians in the promotion and appointment process for higher positions.
PENGARUH INSENTIF DAN LOYALITAS TERHADAP KINERJA DRIVER GOJEK DI KOTA PEKANBARU
Authors: PUTRA RUDI SYAF , OKTAMADE DION , AZHARI INTAN PUTRI
Published: August 2023

This study aims to analyze the effect of incentives and loyalty on the performance of Gojek drivers in Pekanbaru City. The independent variables used are incentives and loyalty. While the dependent variable used is performance. This study uses a quantitative approach with multiple linear regression analysis models and the company population of all Gojek drivers in Pekanbaru City. The number of samples used in this study were 380 respondents. The results show that incentives have a positive effect on performance and loyalty has a positive effect on performance. Then incentives and loyalty simultaneously affect the performance of Gojek drivers in Pekanbaru City.
PENGARUH LIKUIDITAS DAN STRUKTUR MODAL TERHADAP PROFITABILITAS PADA PERUSAHAAN PERBANKAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2019-2021
Authors: SUMARNI RANI , GUSTINA IRA , NURFITRIANI NURFITRIANI
Published: August 2023

This research was conducted at banking companies listed on the Indonesia Stock Exchange for the 2019-2021 period with the aim of knowing the effect of liquidity and capital structure on profitability. The research population carried out by researchers is banking companies listed on the Indonesia Stock Exchange for the 2019-2021 period. The sample selection was carried out using purposive sampling method, and a sample of 32 companies was obtained. The type of data used is secondary data. Secondary data is data in the form of annual reports obtained from the IDX Website, namely www.idx.co.id during the 2019-2021 period. The data analysis method used in this study is multiple linear regression, with the classical assumption tests used are data normality tests, autocorrelation, multicollinearity, and heteroscedasticity tests. Descriptive statistics are used to see the profile of the research and provide an overview of the object to be studied through sample data and make generally accepted conclusions. The results of this study indicate that the t test (partial test) of liquidity has an effect on profitability. While the capital structure has no effect on profitability. The f test (simultaneous test) can be concluded that the variables of liquidity and capital structure simultaneously affect profitability.
Is It Appropriate to Use Restorative Justice in Cases of Domestic Violence?
Authors: Schmidt Laura
Published: August 2023

Domestic violence (DV) is sometimes called a hidden crime because in many cases victims do not report the offence to the police. DV includes child abuse, intimate partner violence and elder abuse and comes in many forms, such as physical, sexual, emotional or financial abuse. Using restorative justice (RJ) methods in cases of DV is a highly controversial topic.4 However, in many countries around the world restorative practices are used in these cases with appropriate safeguarding in place. The aim of this article is to explore the different types of RJ methods and the different types of DV cases where these methods might be used with the potential benefits and challenges being discussed. Relevant articles and case studies were analysed to present previously conducted research on the topic of DV and RJ. The available literature shows that certain RJ practices are appropriate in certain types of DV cases but they need to be evaluated on an individual basis as these types of cases are very complex and need to be screened thoroughly before any kind of intervention. However, in addressing the concerns surrounding the use of RJ in DV cases, it is vital to listen to the victims themselves, by first giving them a voice. In conclusion, professionals working with victims and offenders of DV cases need to work more closely with others who work in RJ in order to make the process safer and to utilise the potential benefits of the process.
The Relationship between the Framing of Speeding Messages and Changes in Attitude of Generation Z Respondents
Authors: Uricska Erna
Published: August 2023

Police communication with the public is a vital process, and it should be considered a key area of research in the digital era. Until the 2000s, police messages reached the community through traditional media channels. Nowadays, there is an opportunity for e-community policing: to identify problems in the online sphere, propose solutions and improve police-community relations through the appropriate use of social networking sites. This study is a pioneering one as no research has yet been carried out that analysed the visual effects of Hungarian police communication on social media. The observed sample was collected by systematic sampling and, using the perspective of emotions as frames, a questionnaire survey was conducted among Generation Z members to investigate the elicited emotions and their persuasive effects. The aim of this empirical research is to demonstrate that visuals created by the police may be of particular importance in crime prevention.
Inside Victims, Outside Offenders: A Case Study on Crime Reporting
Authors: Füstös Mónika
Published: August 2023

In political and media rhetoric throughout Europe, migrants and refugees are often linked to crime; especially to gender-based crimes. This paper, focusing on Hungary, examines whether media discourses perpetuate this image and to what extent do other attributes of offenders (such as ethnicity and class) influence the way the media represent those involved in rape cases. The 720 articles sampled for this study were analysed using qualitative content analysis and critical discourse analysis, with Lindgren and Lundström’s model on inside victims/offenders and outside victims/offenders and Nils Christie’s theory on ideal victims being applied to the findings. Results show that the media in Hungary is more likely to grant victim status to those who are insiders (Hungarian, white, middle class) when their offenders are outsiders (migrant, Roma, lower class), while socially marginalised offenders are automatically externalised. The paper also shows that marginalised people are externalised collectively, while insiders are externalised individually. The application of Christie’s theory further strengthens the relational hypothesis that the ideal (or outsider) offender makes the ideal victim.
The Relationship Between Organizational Justice and Job Burnout in Pre-hospital Emergency Nurses
Authors:   Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran., Yousefi Zhila , Feizollahzadeh Hossein ,   Department of Medical Surgical Nursing, Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran., Khodadadi Esmail ,   Iranian Social Security Organization, Urmia, Iran.
Published: August 2023

Background: Personnel working in emergency departments are exposed to a lot of burnout due to their nature and occupational factors; therefore, it is very important to pay attention to the factors that cause and aggravate burnout. In the meantime, the existence of organizational justice is an important principle in employee efficiency that can also affect the quality of employee services. Therefore, this study was conducted to investigate the relationship between organizational justice and burnout in emergency department personnel of Tabriz hospitals in 2019. Materials and Methods: The present study is a descriptive cross-sectional correlational study that was performed on 140 pre-hospital emergency personnel in Tabriz, Iran in 2021. The sampling method was census. Data were collected using a three-part questionnaire including participants’ personal demographic information form, Niehoff and Moorman organizational justice questionnaire, and Maslach burnout inventory (MBI). For data analysis, SPSS software, version 22 was used through descriptive statistics and analytical statistics. The significance level was considered at 0.05. Results: The results showed that the level of organizational justice and job burnout of participants was in the moderate range. Also, the results of the correlation statistical test showed that there was a significant reverse relationship between organizational justice and job burnout of pre-hospital emergency personnel (P<0.05). Conclusion: The findings of this study showed that organizational justice is not very desirable from the perspective of pre-hospital emergency personnel and their sense of burnout can be largely related to this situation. Therefore, based on the findings of the present study, it is suggested that managers and officials of pre-hospital medical centers and emergencies by adopting new administrative policies and creating a favorable organizational climate based on human dignity can take positive steps to improve organizational justice and reduce job burnout.
Prevalence of Low Back Pain and Some Related Factors in the Iranian Field Staff of Prehospital Emergency Medical Services
Authors:   Nursing Care Research Center, School of Nursing and Midwifery, Semnan University of Medical Sciences, Semnan, Iran., Shirzad Cibni Vahid , Nobahar Monir ,   Nursing Care Research Center, School of Nursing and Midwifery, Semnan University of Medical Sciences, Semnan, Iran., Ghorbani Raheb ,   Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Published: August 2023

Background: It is widely accepted that musculoskeletal injuries, especially in the lumbar region, are among the most common complaints of people working in emergency medical services (EMS). This study aimed to determine the prevalence of low back pain (LBP) and its associated factors in the field staff of prehospital EMS in northern Iran. Materials and Methods: This cross-sectional descriptive correlational study was conducted in 2019 on 156 men selected by convenience sampling from the population of field staff of prehospital emergency medical centers in Gilan, Iran. The participants completed a questionnaire of demographic information and the numerical rating scale. Data analysis was performed in SPSS software, version 24 using unvaried logistic regression at 5%, and multiple logistic regression at 10% significance level. Results: Of all the participants, 69.9% (n=109) had LBP. The multiple logistic regression analysis showed that workers with a higher number of calls per shift (90% CI, 1.01%-1.32%, OR=1.15, P=0.088), low income (P=0.016), history of underlying diseases (90% CI, 1.40%-54.12%, OR=8.71, P=0.051), level of education with bachelor’s degree or higher (P=0.077) were more likely to have LBP. Conclusion: The prevalence of LBP in the field staff of prehospital EMS was remarkably high. The most important factors that predispose these workers to LBP were the number of calls per shift, income level, history of underlying diseases, and bachelor’s degree or higher level of education. The findings can be used to develop guidelines for reducing the prevalence of LBP among the field staff of prehospital EMS.
Exploring Strategies for College Students' Mental Health Education in the Context of New Media
Authors: Fan Jiashuang
Published: August 2023

Implementing mental health education for college students is an important aspect of achieving the educational goal of fostering virtue and cultivating people in universities in the new era. It has great significance for enhancing universities' humanistic care and improving college students' self-awareness. Under the new media perspective, the mental health education of college students can achieve online classes and popularization, which can significantly improve the quality and level of mental health education. However, it is worth noting that there are still issues in the current mental health education for college students, such as insufficient attention from students, insufficient frequency of effective interaction between teachers and students, and inadequate construction of mental health teachers. In the context of new media, university teachers need to center on new media technology to establish a scientifically sound mental health education system. They should comprehensively utilize the advantages of network technology to enhance the effectiveness of mental health education, thereby laying a solid foundation for the mental health and robust growth of college students.
Implementing Content Based Instruction in University English Classrooms in Mainland China
Authors: Ma Xinyu
Published: August 2023

CBI (Content Based Instruction) teaching is to transform a single language skill teaching method into a teaching method that integrates content and language as a whole. The main aim of this research is to know the actual implementation of the CBI model in university English classrooms in mainland China through scientific research methods. It will look at the perceived effectiveness of the CBI model and the challenges of implementing the CBI model. Based on the research purpose, this research explores the following research questions: how much students and teachers understand the basic concepts of CBI; the benefits and challenges of implementing CBI teaching methods in university English classrooms in mainland China. A review of selected literature briefly examines Input Hypothesis and Zone of Proximal Development. The data comes from questionnaires and in-depth interviews. The results seem to show that CBI can effectively improve students' English level, but there are many problems in the specific implementation process. The evaluation of CBI pedagogy needs to start from the perspective of teachers and students. It also emphasized the importance of the basic concepts of CBI. This research will help those students and teachers in the Chinese universities who would like to adopt CBI model and also the people who want to know the real situation of CBI model in the English classroom in China universities.