bluuebunny/crossref_metadata_2025 huggingface dataset:
Degree of plasticity of wheat winter varieties in different ecotypes
Authors:   Dnipro State Agrarian and Economic University, Shevchenko O. O. , Vashchenko V. V. ,   Dnipro State Agrarian and Economic University, Lobko T. K. ,   Dnipro State Agrarian and Economic University
Published: August 2023

Topicality. Over the past decades, a breeding program of leading scientific institutions has been implemented to improve soft winter wheat varieties in terms of yield, grain weight per main spike, degree of plasticity and genotypic effect. These characteristics demonstrate the ability of varieties to adapt to environmental changes. Purpose. To determine the degree of plasticity, level of stability, breeding value of modern varieties of soft winter wheat developed by leading scientific institutions. Materials and Methods. During 2020-2022, 15 varieties of soft winter wheat were examined in the crop rotation of the Breeding and Seed Production Department of the Dnipro State Agrarian and Economic University. Accounting and observations were carried out according to the methodology of state variety testing. Ecological plasticity was determined by the methodology of the Plant Production Institute named after V. Ya. Yuriev of NAAS according to the OSGE application package Tlite Systems gr. Results. The presented varieties have the sum of ranks 2 and 3 for the trait "grain weight per main spike", which indicates their high plasticity due to the stability of genetic potential realisation and their greater adaptation to the growing conditions in the northern subzone of the Steppe of Ukraine. The level of stability, plasticity and breeding value of varieties in different conditions of growing seasons was determined. The varieties Smuhlianka, Podolianka, Peremoha, Ihrysta, Komertsiina, Korusna and Yednist showed the highest level of plasticity. This allows us to predict the realisation of plasticity under sufficient moisture supply during the growing season and a slight decrease it under drought. Conclusions. The stability, plasticity, and breeding value for 15 varieties of soft winter wheat were determined. Under changing environmental conditions, authors revealed the possibility of their genetic potential for yield and ecological plasticity over the years due to the high stability of the genetic effect of the trait. The breeding value of modern varieties in terms of adaptability was confirmed to use them as a source material and introduce into production in conditions of unstable and insufficient moisture supply. Key words: yield, grain weight of the main spike, genotypic effect, stability, breeding value
Energy productivity of common bicolour sorghum (Sorghum bicolor (L.) Moenh) and soryz (Sorghum orysoidum) depending on seeding rates
Authors:   The Institute of Bioenergy Crops and Sugar Beet of NAAS, Pravdyva L. A.
Published: August 2023

Topicality. Recently, attention is being increasingly focused on the search for energy resources produced from renewable energy sources, namely from plant raw materials. There are increasingly relevant studies on the influence of elements of cultivation technology, in particular, seeding rates, on the formation of productivity of common bicolour sorghum and soryz used for biofuel production. There are increasingly relevant studies on the influence of elements of cultivation technology, in particular, seeding rates, on the formation of productivity of common bicolour sorghum and soryz used for biofuel production. In the eastern Forest-Steppe of Ukraine, the productivity of these crops largely depends on the variety, environmental conditions and elements of cultivation technology. Optimisation of seeding rates is one of the ways to increase grain and biomass yield and biofuel and energy output. Purpose. Our research aimed to determine the impact of sowing rates on the energy productivity of common bicolour sorghum and soryz in the conditions of the eastern Forest Steppe of Ukraine. Methods. In 2016–2020, the research was carried out at the Ivanivka Research and Breeding Station of the Institute of Bioenergy Crops and Sugar Beet of NAAS in the unstable moisture zone of the eastern Forest-Steppe of Ukraine The experimental design included: factor A – varieties Dniprovskyi 39 (common bicolour sorghum) and Samaran 6 (soryz); factor B - seeding rates: 1) 150 ths. pcs/ha; 2) 200 ths. pcs/ha; 250 ths. pcs/ha. Results. It was found that the different seeding rates have an impact on grain and biomass yield of sorghum and soryz, respectively, and on the estimated yield of bioethanol from grain, solid fuel yield from aboveground mass and total energy output. The maximum grain and biomass yield was obtained at a seeding rate of 200 ths. pcs/ha and was 6.8 and 39.2 t/ha for common bicoloured sorghum of Dniprovskyi 39 variety and 5.9 and 36.1 t/ha for soryz of Samaran 6 variety. Conclusions. Dneprovsky 39 variety provided the highest output of bioethanol (2.24 t/ha) and energy (56.04 GJ/ha), and Samaran 6 variety – 1.95 t/ha and 48.63 GJ/ha, respectively. Sorghum has the highest output of solid fuel and energy – 9.06 t/ha and 147.6 GJ/ha, and soryz – 8.34 t/ha and 135.93 GJ/ha, respectively. For the production of biofuel and energy resources, the cultivation of common bicolour sorghum with a seeding rate of 200 ths. pcs/ha is more efficient. Key words: variety, yield, grain, biomass, bioethanol, solid fuel, energy
The Tactics of the Search
Authors: Aron Ioan
Published: August 2023

Among the factors that directly contribute to the success of a search, a central place is occupied by psychological factors, factors whose knowledge, by the judicial body, is absolutely necessary. The exact outline of the issue of psychology implies, from the very beginning, emphasizing the distinction between the psychology of the person conducting the search and the psychology of the search. This distinction is imposed by the fact that we are in front of a procedural act, somewhat similar (of course on psychological grounds) to listening to the accused or the defendant. In this "duel", we can see that not only the criminal investigation body seeks to notice the way of thinking and behavior of the searched person, but also the searched person, especially if he is a well-versed person, will try to put himself in the position of the person coming to search, when he hides the objects.
Romanian Diplomacy around the Second World War
Authors: Murzea Cristinel-Ioan
Published: August 2023

The consequences of the rivalry between the winning and the losing powers of the First World War would become more acute at the end of the fourth decade of the 20th century in the context of the obvious revengeful tendencies of Germany and its acolytes to the expense of maintaining a climate of peace and international security. The Romanian diplomatic circles were forced to undergo endeavors and specific actions in order to obtain, from the powers which guaranteed the „Versailles system” increased guarantees for the protection of our independence and integrity in the new international context, actions which were doomed to fail given the peaceful and non-confrontational tendencies of France and England; thus, Romania had to elaborate a new approach in regard to economic and political-diplomatic relations.
Social Learning Reflected in Younger Generations’ Lives. Case Study: The Bobo Clown Experiment and The Famous Youtuber Og Mcskillet
Authors: Batranu-Pintea V. , Coman C.
Published: August 2023

This paper aims to discuss and thoroughly analyze, aided using content analysis, and make use of certain theoretical support available regarding primary social learning, approximately how many and what certain events in a child’s life can affect his or her behavior. We discuss how Albert Bandura’s experiment involving the Bobo Clown doll revealed some troubling aspects no matter their age or even intellectual capacities. All these behaviors can, unfortunately, irreversibly affect a child’s harmonious development, both psychologically as well as emotionally. Virtual liberty also poses a threat in this case. This article proposes to take a deeper look into this phenomenon, constructing a base that starts early historically.
Dissertation Research on Pedagogy: Situation, Problems, Resources
Authors: Vesna E. B. , Serikov V. V.
Published: August 2023

In the article the situation and trends in the development of dissertations in pedagogy have being analyzed, positive trends and reasons for the low quality of individual dissertations is indicated. The authors focus on methodological “omissions” that reduce the scientific value of dissertations. Authors include to that the construction by dissertators of key theoretical and methodological premises of the study – a research question, a hypothesis, a concept, novelty, a model of the process under study, an experimental substantiation of the conclusions, which reflect the “deficiencies” of the methodological culture of authors, the specifics of pedagogical research are not taken into account. The authors try to explain why these “conclusions” often cause mistrust among practicing teachers. Constructive recommendations for conducting a dissertation research are also made in the article.
Charakter prawny umowy kredytu bankowego. Uwagi na tle artykułu 487 § 2 Kodeksu cywilnego
Authors: Skowerski Szymon
Published: August 2023

Wraz ze wzrostem pozytywnie rozpatrywanych przez sądy powództw konsumentów-kredytobiorców o stwierdzenie nieważności umów tzw. „kredytów frankowych”, banki (kredytodawcy) poszukują sposobów na wstrzymanie się ze swoim świadczeniem powstałym po „upadku” umowy. Jeden z prawnych instrumentów umożliwiających dłużnikowi-wierzycielowi wstrzymanie się ze swoim świadczeniem do czasu uzyskania kontr świadczenia stanowi ustawowe prawo zatrzymania (ius retentionis) z art. 496 Kodeksu cywilnego. Problem pojawia się jednak z zakwalifikowaniem umowy kredytu bankowego jako umowy wzajemnej. Celem artykułu jest próba odpowiedzi na pytanie czy umowę o kredyt bankowy można zakwalifikować jako umowę wzajemną oraz wskazanie pomiędzy którymi ze świadczeń z niej wynikających istnieje więź synallagmatyczna, zaś w konsekwencji czy można w przypadku wzajemnych rozliczeń stron stosować art. 496 Kodeksu cywilnego?
The EE-COV-SSI Method for the Exact Identification of Model Order in Modal Analysis
Authors: Zhang Yafei , Wang Youming
Published: August 2023

The covariance-driven stochastic subspace modal parameter identification method has been widely used in the field of engineering structures. Effective determination of the model order of the structural system is the key to applying this method to identify the modal parameters. It is particularly difficult to determine the model order for unstable systems affected by noise disturbances and computational errors. In order to effectively determine the model order, an exponential eigenvalue entropy incremental covariance-driven stochastic subspace identification (EE-COV-SSI) algorithm is proposed. The condition number of the state matrix is used to determine the degree of perturbation of the response signal to the system stability. Meanwhile, the identification accuracy of the modal parameters is reflected by calculating the modal frequency coefficient of variation. Finally, the method is applied to the modal analysis of a four-story frame structure. The results show that the method can accurately identify the model order and improve the identification accuracy of the modal parameters.
Multi-Dimensional Resource Allocation Algorithm for End-to-End Network Slicing
Authors: Zhao Jihong , Zhu Zhaoyang , Huang Zihao , Wang Beibei
Published: August 2023

With the rapid development of 5G networks, the emerging 5G mobile system is expected to serve a large number of users with differentiated performance requirements. Different application scenarios have differentiated resource and quality of service requirements. To optimize the allocation of network multidimensional resources, an allocation algorithm to maximize multi-dimensional resource utilization is proposed for the resource optimization problem of Enhanced Mobile Broadband (eMBB) and Ultra-Reliable and Low Latency Communication (URLLC) network slices. The algorithm combines communication, computing and storage resources to provide a solution for multi-dimensional resource allocation. And it is able to guarantee the high speed demand of users in eMBB slices and the low latency demand of users in URLLC slices. The resource problem for multiservice slicing is modelled as a non-linear mixed integer programming problem. Combining the augmented Lagrange algorithm and the branch-and-bound method to solve the problem, the optimal resource allocation strategy is obtained. It is demonstrated that the proposed algorithm can improve the system throughput, increase the resource utilization, improve the rate of eMBB class services and reduce the delay of URLLC class services compared with other algorithms.
A Spatial-Temporal Feature-Fusion Model Based on Graph Convolution Network for Traffic Flow Forecasting
Authors: Shen Hao , He Min
Published: August 2023

With the rapid development of urban traffic, traffic forecasting has been attracting widespread attention. Accurate traffic forecaster can bring a convenient travel experience for the drivers and help the officers to direct traffic. Based on graph convolutional network, we propose a spatiotemporal feature fusion model named STFF-GCN to extract more valuable features from temporal segments by considering different periodic and spatial dependencies. Meanwhile, we use parallel dilated causal convolutions as residual connections to capture the relationship from long-term time series more easily. Experiments on the datasets of PEMS show that STFF-GCN outperforms other baseline models, which illustrates the effectiveness of our model.
Research on Time Series Imputation Based on Generative Adversarial Network
Authors: Xiao Wenjuan , Lv Hui
Published: August 2023

Time series data is collected in chronological order to represent how the collected data changes over time. This type of data is susceptible to interference from external factors that ultimately make the data missing. Missing data will cause the lack of some historical information, and it is not conducive to the development of downstream tasks. In recent years, Generative Adversarial Networks (GAN) GAN is widely used in image processing tasks and has achieved good results, which can also be applied to time series generation and interpolation tasks. We analyze the types of time series data missing, the structure of general GAN, and compare three models such as E2GAN, BIGAN and MBGAN, focusing on the comparison of the model composition of generator and discriminator, so as to provide ideas for the subsequent optimization application of GAN in time series data imputation.
Bibliometric Analysis of Occupational Health and Safety in Relation to Dynamic System
Authors: Febiyani Anastasia , Suhardi Bambang , Laksono Pringgo Widyo , Prastawa Heru
Published: August 2023

A popular analysis used to explore scientific data today is to use bibliometric analysis. Bibliometric analysis will be carried out by exploring data taken from scopus indexed journals. in addition, visualizing the program is done using the help of the VOSviewer application. The purpose of bibliometric analysis in this study is to determine the development of research related to program coordination. Specifically, this article discusses the development of literature, publication trends, authors, keywords used in the span of the last 10 years (2012–2022). Data were collected from the Scopus database using the keywords “occupational health and safety” “system dynamic” and “system thinking”. The results showed that the results of data exploration showed the number of publications per year from 2012–2022 as many as 67 citations. Salmon, P.M. is a researcher who has the greatest productivity in these keywords. Then, the country that publishes the most articles with related keywords is Australia.
Ergonomic Improvement to Reduce the Risk of Musculoskeletal Disorders (MSDS) in a Furniture Production Workshop
Authors: Cama Machado Diego , Casas Rodrigo Briayan , Taquía Gutierrez José
Published: August 2023

The present research work has the purpose of simulating an ergonomic improvement in the furniture production workshop for the areas that show a higher risk of musculoskeletal disorders. In this sense, ergonomics methods and instruments such as the Nordic questionnaire were used to measure the body areas, due to the increase in cases of MSDs related to physical work in the upholstery sector. These disorders develop due to the lack of an adequate ergonomic design and the lack of early identification that prioritizes the well-being of workers. Thus, NIOSH, RULA and OWAS methodologies were applied to evaluate the level of risk and lifting index before and after. These values were contrasted with Ergosoft Pro and 3DSSPP software to validate the design proposal. Thus, the risk level was reduced from a value of 4 to 1 and the uplift index from 3.8 to 0.99. In addition, artificial intelligence was employed through the application of Open Pose to achieve the estimation of the arm angles in real time.
The Health Management Design of ASRTU Micro-Satellite Attitude Control System
Authors: Zou R. , Wu F. , Chen X.Q. , Xi R.C. , Zhang J.Y.
Published: August 2023

The ASRTU Micro-satellite is a 12U CubeSat managed by Harbin Institute of Technology. In order to meet the needs of ASRTU micro-satellite mission, a health management method suitable for this mission is proposed for the attitude control system. Firstly, according to the main performance indicators of the ASRTU micro-satellite attitude control system, the configuration of sensors and actuators and the attitude operation mode are designed. And the system-level health management strategy is given according to the priority order design of the sensor. Secondly, the equipment-level health management strategy is formed based on the output data. And a cross-detection strategy for the magnetic torquer utilizing multiple data and extended state observer was designed. Finally, three types of faults are set for the star sensor to simulate and verify the proposed health management strategy.
A Design of a Performance and Rewards Management System for Healthcare BPO Call Center- Non-Voice Agent
Authors: Blancaflor Eric B. , Jayag John Eduard B. , Rances Sean Mikael G. , Marquez Aaron John S.
Published: August 2023

The call center industry within the Philippines has been seen continuously growing throughout the years to the point that it overtook India as the world’s call center capital. Non-voice agents are a type of call center agent that do tasks that do not require them to talk on the phone or answer to any queries, yet they are still able to help the business. Performance management is often done within the industry as it helps the manager understand what areas the employees are having difficulty in and if coaching is necessary. However, with the number of agents that they are handling, it makes it difficult for the manager to pull up files and keep track of their agents. Therefore, a platform that monitors and manages the performance of their agents in an efficient and easier manner is needed. The study aims to develop a web application to be used by the chosen Healthcare IT BPO call center manager in monitoring and tracking the performance assessments, eligibility for monthly and annual rewards, and the amount of subsequent disciplinary actions for their non-voice agents. The researchers utilize PHP and MySQL in developing the web application. The system was stress tested which showed that it was capable of handling multiple hosts and functionality tested which showed that all its functions were working properly. 85.55 or “Excellent” was the score given by the respondents who used the application after calculating the results of the survey. The study concludes that the system developed for the company provided a platform to effectively manage their recording and assessment of agent’s performance and eligibility for rewards.
Defect Detection of Solar Panel Based on DenseNet Network
Authors: Song Xiaoyu , Liu Yanan
Published: August 2023

At different stages of solar panel production, there may be shadows, microcracks and other defects. This will have a influence on the conversion efficiency of turning light energy into electric energy of the battery. For the sake of enhancing the efficiency of solar cell, it is certainly worth detecting the defects of the battery. For the sake of accurately detecting the defects of solar panels, a detection method based on Dense U-Net is came up with. This method can prevent the problem of gradient from disappearing in the process of feature transfer by introducing dense connection network. The results show that this method can produce good results in defect detection.
All-Ceramic Split Ring Resonator for Wireless High-Temperature Sensing
Authors: Wang Bo , Gao Fei
Published: August 2023

This research proposes a new alumina ceramic-based wireless passive temperature sensor. Using screen printing techniques, a new split ring resonator is created on an alumina ceramic substrate. In this design, both the substrate material and the sensitive material are alumina ceramic, and the size of the split ring resonator design is adjusted and optimized to improve the sensitivity of temperature detection. By measuring the insertion loss of electromagnetic waves (S21), the resonant characteristics of the sensor can be obtained with the change in temperature, so as to achieve the purpose of sensing the current ambient temperature. The simulation results show that the variation range of the dielectric constant is 9.8 to 11 at 200 °C–1000 °C, the resonant frequency of the sensor decreases from 5.9 GHz to 5.55 GHz, and the temperature measurement sensitivity is 0.438 MHz/°C. The high-temperature sensor has the characteristics of being wireless, passive, flat and low-profile; it has high sensitivity and strong anti-interference ability; it can adapt to a variety of high-temperature and harsh working environments and can also be widely used in the military, aerospace traffic and manufacturing.
Machine Scheduling Approach for the Sustainable Development of a Residential-Industrial Area
Authors: Wanphian Thunwa , Rerkjirattikal Pavinee , Olapiriyakul Sun
Published: August 2023

Mixed land use for industrial and residential purposes is becoming even more common in urbanizing areas. Without well-planned settlements and sufficient public health protection, residents can expose to a range of health risks caused by the pollution of nearby industrial facilities. In this circumstance, production scheduling with the awareness of public health issues is vital to the well-being of residents and the sustainable development of the surrounding areas. This research proposes an identical machine scheduling approach that helps in achieving manufacturing goals while at the same time being able to resolve sustainable development issues for the local communities. A multi-objective mixed-integer programming model is formulated to minimize the electricity cost and total weighted earliness and tardiness penalty. A multi-criteria fuzzy decision-making technique is used to select the solutions with satisfactory non-processing energy consumption (NEC) and total disturbance noise. The analysis results show that the proposed machine scheduling approach can be used to reach the low noise disturbance solution that is satisfactory on other criteria as well. The proposed approach is the very first attempt to consider all the sustainability dimensions and the sustainable development of a residential-industrial area.
A FPGA Embedded DSP Supporting Parallel Multiple Low Bit-Width Multiply-Accumulate Operations
Authors: Wang Miao , Huang Zhihong , Cai Gang , Wang Junxuan
Published: August 2023

With the continuous development of big data and hardware computing platforms, deep learning has been substantially applied in many intelligent scenarios. Recent studies have shown that using low bit-width networks in deep learning inference can effectively improve the overall performance of accelerator by reducing the computational ability requirements while maintaining the recognition accuracy of accelerator. Among them, low bit-width convolutional operations such as 8bit and 4bit are widely used in applications such as graph recognition. FPGA chip is the core key device of digital system, due to the excellent reconfigurability of FPGA, it has become one of the mainstream platforms in the field of deep learning accelerator. The current mainstream FPGAs are composed of higher bit-width multipliers due to the need to adapt to different computing application requirements, and the DSP module resources are used to perform low bit-width convolutional operations, which only occupy part of the multiplier bit-width, thus wasting a large amount of hardware on chip resources. Therefore, this paper proposes a DSP architecture of using large bit-width multipliers to compute low bit-width multiplications in parallel, so that the new DSP can realize double 8bit and 4bit multiply-accumulate operations without adding multipliers, and can support any combination of signed and unsigned data operations. The design is based on the commercial Stratix IV DSP architecture, and the overall circuit is designed with SMIC 14nm standard CMOS process. The experimental results show that when calculating the same number of 4-bit and 8-bit multiply-accumulate operations, the resource consumption area of the improved DSP is reduced by 43.5% and the speed is increased by 48%.
Balancing Medical Student Workloads Through Bi-Objective Scheduling Optimization
Authors: Dusadeerungsikul Puwadol Oak , Kaewsaitiam Thitirat , Eamkhum Theerawit , Chottiwattakawanit Nakaris
Published: August 2023

During the clinical years, medical students frequently experience physical and mental health problems, which are exacerbated by their work schedules. To address this issue, we develop a bi-objective mathematical model in this study. The two objectives of the model are 1) balancing the workload of each student group and 2) minimizing the deviation of workload among student groups. In addition, the mathematical model includes constraints on ward rotation and ward sequencing. The constraints require students to visit all wards in order to complete their clinical curriculum, and in some wards, students must rotate in a specific order to ensure an effective learning experience. To validate the developed model, the CPLEX solver is utilized in the experiments. The experimental results indicate that the developed model reduces the time required to generate student work schedules and improves the work schedule’s quality.
Borderline phyllodes tumor arising in ectopic breast tissue in the axilla: Report of a rare case with brief review of literature
Authors: Hassan Mohammad Jaseem , Ahmed Saqib , Siddiqui Bushra , Akhtar Kafil , Anees Afzal , Arif Sayeedul Hasan , Hasan Mahboob
Published: August 2023

Development of a neoplasm in an ectopic breast is uncommon, while the development of phyllodes tumor in an ectopic breast in the axilla is even rarer. We report a rare case of a 51-year-old female who presented with a complain of swelling and pain in the right axilla with no associated complaints in other organs. Magnetic resonance imaging suggested a possibility of metastatic lymphadenopathy. Complete excision of the right axillary mass was performed and sent for histopathological examination which was examined thoroughly and sections were given. On microscopic examination, stromal proliferation in a leaf-like pattern with mild stromal atypia and focal permeation of borders were seen, and a diagnosis of Ectopic borderline phyllodes tumor in axilla was made, which is extremely rare and needs to be differentiated from its close differentials like fibroadenoma and periductal stromal sarcoma.
Diffuse and Localized Functional Dysconnectivity in Schizophrenia: a Bootstrapped Top-Down Approach
Authors: Coluzzi Davide , Baselli Giuseppe
Published: August 2023

Schizophrenia is a brain disorder leading to detached mind’s normally integrated processes. Hence, the exploration of the symptoms in relation to functional connectivity (FC) had great relevance in the field. Connectivity can be investigated on different levels, going from global features to single edges between pairs of regions, revealing diffuse and localized dysconnection patterns. In this context, schizophrenia is characterized by a different global integration with reduced connectivity in specific areas of the brain, part of the Default Mode Network (DMN). However, the assessment of FC presents various sources of uncertainty. This study proposes a multi-level approach for more robust group-comparison. FC data between 74 AAL brain areas of 15 healthy controls (HC) and 12 subjects with chronic schizophrenia (SZ) were used. Multi-level analyses were carried out by the previously published SPIDER-NET tool. Graph topological indexes were evaluated to assess global abnormalities. Robustness was augmented by bootstrapped (BOOT) data and the stability was evaluated by removing one (RST1) or two subjects (RST2). The DMN subgraph was extracted and specifically evaluated. Changes relevant to the overall local indexes were also analyzed. Finally, the connection weights were explored to enhance common strongest activations/deactivations. At a global level, expected trends of the indexes were found and the significance of modularity (p = 0.043) was not confirmed by BOOT (p = 0.133). The robustness assessment tests (both RST1 and RST2) highlighted more stable results for BOOT compared to the direct data testing. Conversely, significant results were found in the analysis at lower levels. The DMN highlighted reduced connectivity and strength as well as increased deactivation in the SZ group. At local level, 13 areas were found to be significantly different (p < 0.05) in the groups, highlighting a greater divergence in the frontal lobe. These results were confirmed analyzing the single negative edges, suggesting inverted connectivity between prefronto-temporal areas. In conclusion, multi-level analysis supported by BOOT is highly recommended when analyzing FC, especially when diffuse and localized dysconnections must be investigated in limited samples.
Novel evaluation model of teaching quality based on the improved IVIF-BWM and IVIFWMSM
Authors: Lin Youping , Wang Wenxin , Chen Yanling , Li Feng
Published: August 2023

The evaluation of teaching quality plays a crucial role in promoting the improvement of education quality and ensuring the healthy development of education. This study presents a novel teaching quality evaluation model based on improved interval-valued intuitionistic fuzzy Best-Worst method (IVIF-BWM) and interval-valued intuitionistic fuzzy weighted Maclaurin symmetric mean operators (IVIFWMSM). The study is divided into three parts. Firstly, to derive the optimal interval-valued intuitionistic fuzzy weights of criteria, we develop an improved IVIF-BWM by establishing a goal programming model based on the multiplicative consistent interval-valued intuitionistic fuzzy preference relation(IVIFPR), and then we propose the new consistency index (CI) and the consistency ratio (CR) under interval-valued intuitionistic fuzzy environment to verify the reliability of the derived results. Secondly, with regard to the importance and interaction relationships among criteria, IVIFWMSM is used to aggregate evaluation values of alternatives on each evaluation criteria in multi-criteria decision making process. Finally, the proposed teaching quality evaluation model is applied to a case of teaching quality evaluation in higher education and a comparison study with other existing methods are performed. The results demonstrate that the proposed teaching quality evaluation model not only overcomes the shortcomings of previous methods, but also is more accuracy, effective and reasonable for dealing with the teaching quality evaluation under the intuitionistic fuzzy environments.
Evolution of cooperation in spatial public goods game based on heterogenous social preferences and dynamic punishment
Authors: Du Kang , Fan Ruguo , Xue Hu , Wang Yitong , Bao Xuguang
Published: August 2023

The mechanism of promoting cooperation in the public goods game has always been concerned by scholars. However, most of the existing studies are based on the premise that participants are self-interested. In order to explore why some sellers on e-commerce platforms voluntarily maintain the platform’s reputation, we incorporate heterogeneous social preferences of sellers into the spatial public goods game. We find that heterogeneous social preferences can enhance cooperation by improving collective rationality. Specifically, the altruistic preference of sellers can greatly reduce free-riding behavior, while the inequality aversion preference has a little inhibitory effect. Interestingly, when the benefit of maintaining the platform’s reputation is relatively high, the reciprocal preference can inhibit cooperation, but it can promote cooperation when the benefit is relatively small. This is due to the existence of some loosely connected but stable cooperative or defective clusters of sellers in e-commerce platforms. Furthermore, we propose a dynamic punishment mechanism to punish free riders. We observe that the dynamic punishment mechanism is more effective than the static punishment mechanism in solving the second-order free-riding problem faced by punishers. Increasing the enhancement factor of public goods is identified as a fundamental approach to mitigating this problem.
Brain tumor segmentation and classification with hybrid clustering, probabilistic neural networks
Authors: Javeed M.D. , Nagaraju Regonda , Chandrasekaran Raja , Rajulu Govinda , Tumuluru Praveen , Ramesh M. , Suman Sanjay Kumar , Shrivastava Rajeev
Published: August 2023

The process of partitioning into different objects of an image is segmentation. In different major fields like face tracking, Satellite, Object Identification, Remote Sensing and majorly in medical field segmentation process is very important to find the different objects in the image. To investigate the functions and processes of human boy in radiology magnetic resonance imaging (MRI) will be used. MRI technique is using in many hospitals for the diagnosis purpose widely in finding the stage of a particular disease. In this paper, we proposed a new method for detecting the tumor with enhanced performance over traditional techniques such as K-Means Clustering, fuzzy c means (FCM). Different research methods have been proposed by researchers to detect the tumor in brain. To classify normal and abnormal form of brain, a system for screening is discussed in this paper which is developed with a framework of artificial intelligence with deep learning probabilistic neural networks by focusing on hybrid clustering for segmentation on brain image and crystal contrast enhancement. Feature’s extraction and classification are included in the developing process. Performance in Simulation of proposed design has shown the superior results than the traditional methods.
Early detection and identification of white spot syndrome in shrimp using an improved deep convolutional neural network
Authors: Ramachandran L. , Mohan V. , Senthilkumar S. , Ganesh J.
Published: August 2023

White Spot Syndrome Virus (WSSV) is a major virus found in shrimp that causes huge economic loss in shrimp farms. A selective diagnostic approach for WSSV is required for the early diagnosis and protection of farms. This work proposes a novel recognition method based on improved Convolutional Neural Network (CNN) namely Dense Inception Convolutional Neural Network (DICNN) for diagnoses of WSSV disease. Initially, the process of data acquisition and data augmentation is carried out. The Inception structure is then used to improve the performance of multi-dimensional feature extraction. As a result, the proposed work has the highest accuracy of 97.22% when compared to other traditional models. The proposed work is targeted to Litopenaeus Vannamei (LV), and Penaeus Monodon (PM) diversities for major threats detection of White Spot Syndrome (WSS). Performance metrics related to accuracy have been compared with other traditional models, which demonstrate that our model will efficiently recognize shrimp WSSV disease.
Research on unmanned transfer vehicle path planning for raw grain warehousing
Authors: Zhang Boqiang , Gao Tianzhi , Chen Yanbin , Jin Xin , Feng Tianpei , Chen Xinming
Published: August 2023

A large number of grain machinery and vehicle equipment are usually required in the raw grain storage phase, and these objects together form the path planning map environment for the unmanned grain transfer vehicle. After using LiDAR to build a map of the environment for path planning, these dense and cluttered obstacles tend to affect the path planning effect making the unmanned transfer vehicle create a crossing from the impenetrable dense obstacles. To address this problem, this paper firstly deals with obstacles by fusing the DBSCAN clustering algorithm and K-means clustering algorithm, clustering obstacles, and extracting the cluster centroid and boundary points of each obstacle class to avoid the above situation. Secondly, the specific A* algorithm is improved, the search field way of the A* algorithm is optimized, and the optimized 5×5 field search way is used instead of the traditional 3×3 field search way of A* to improve the node search efficiency of the algorithm. Finally, the repulsion function of the artificial potential field algorithm is added to the A* heuristic function as a safety function to increase the obstacle avoidance capability of the A* algorithm. After verification, the improvement can operate better in the dense and cluttered obstacle environment.
Development of a new body weight estimation method using head CT scout images
Authors: Kondo Tatsuya , Umezu Manami , Kondo Yohan , Sato Mitsuru , Kanazawa Tsutomu , Noto Yoshiyuki
Published: August 2023

BACKGROUND: Imaging examinations are crucial for diagnosing acute ischemic stroke, and knowledge of a patient’s body weight is necessary for safe examination. To perform examinations safely and rapidly, estimating body weight using head computed tomography (CT) scout images can be useful. OBJECTIVE: This study aims to develop a new method for estimating body weight using head CT scout images for contrast-enhanced CT examinations in patients with acute ischemic stroke. METHODS: This study investigates three weight estimation techniques. The first utilizes total pixel values from head CT scout images. The second one employs the Xception model, which was trained using 216 images with leave-one-out cross-validation. The third one is an average of the first two estimates. Our primary focus is the weight estimated from this third new method. RESULTS: The third new method, an average of the first two weight estimation methods, demonstrates moderate accuracy with a 95% confidence interval of ±14.7 kg. The first method, using only total pixel values, has a wider interval of ±20.6 kg, while the second method, a deep learning approach, results in a 95% interval of ±16.3 kg. CONCLUSIONS: The presented new method is a potentially valuable support tool for medical staff, such as doctors and nurses, in estimating weight during emergency examinations for patients with acute conditions such as stroke when obtaining accurate weight measurements is not easily feasible.
SIKAP DAN PERILAKU KONSUMEN DALAM PEMBELIAN KERIPIK CABE IKA DI KOTA DUMAI
Authors: Islami Nadira , Muwardi Didi , Novian
Published: August 2023

Kota Dumai merupakan salah satu daerah sentra produksi keripik cabe. Banyak terdapat keripik cabe yang dijual di Kota Dumai. Beredarnya berbagai produk keripik cabe yang ditawarkan membuat konsumen memiliki banyak pilihan dalam membeli. Salah satu keripik cabe yang disukai masyarakat adalah keripik cabe IKA. Penelitian ini bertujuan untuk menganalisis sikap dan perilaku konsumen dalam pembelian keripik cabe IKA di Kota Dumai. Penelitian dilaksanakan di Kota Dumai dengan menggunakan metode purposive sampling dengan kriteria konsumen yang berbelanja minimal 1x dan usia sampel ≥ 25 tahun. Jumlah sampel adalah 96 sampel. Data dianalisis dengan model sikap, model norma subjektif dan model perilaku menggunakan theory of reasoned action. Hasil penelitian menunjukkan bahwa secara keseluruhan sikap konsumen terhadap atribut keripik cabe IKA bernilai 12,07. Artinya konsumen memiliki sikap baik dan merasa puas dengan atribut yang ada pada keripik cabe IKA. Perilaku konsumen dalam pembelian keripik cabe IKA di Kota Dumai bernilai 500,151. Artinya perilaku konsumen dalam melakukan pembelian keripik cabe IKA adalah baik.

Dumai City is one of the chili chip production centers. There are many chili chips sold in Dumai City. The circulation of various chili chip products offered makes consumers have many choices in buying. One of the chili chips that people like is the IKA chili chips . This study aims to analyze the attitudes and behavior of consumers in purchasing chili IKA chips in the city of Dumai. The research was carried out in the city of Dumai using the method purposive sampling with the criteria of consumers who shop at least once and sample age ≥ 25 years. The number of samples is 96 samples . The data were analyzed using the attitude model, the subjective norm model and the behavioral model using the theory of reasoned action . The results showed that the overall attitude of consumers towards the attributes of chili IKA chips worth 12.07. This means that consumers have a good attitude and are satisfied with the attributes of the IKA chili chips. Consumer behavior in purchasing IKA chili chips in Dumai City is worth 500.151. This means that consumer behavior in purchasing IKA chili chips is good.
PERSEPSI MASYARAKAT TERHADAP PANGAN LOKAL SAGU DI KECAMATAN GAUNG ANAK SERKA
Authors: Afiza Yeni , Nurul Hayatun , Novitasari Rifni
Published: August 2023

Sagu merupakan salah satu komoditas pangan lokal komoditas alternatif yang sangat potensial untuk dikembangkan sebagai bahan pangan lokal karena memiliki beberapa keunggulan ketersediaannya sangat besar, rantai distribusinya pendek, kualitas gizinya baik serta tumbuh sesuai kondisi agroekologi setempat. Penelitian dilakukan pada Bulan Januari 2023. Penentuan lokasi penelitian dilakukan secara sengaja pada daerah sentra produksi sagu yakni Desa Teluk Sungka dan Desa Teluk Pantaian Kecamatan Gaung Anak Serka dengan jumlah responden 100 orang. Hasil penelitian menunjukkan bahwa persepsi masyarakat terhadap pangan lokal sagu adalah sangat baik dengan skor 447.

Sago is one of the alternative local food commodities that has the potential to be developed as a local food ingredient because it has several advantages: very large availability, short distribution chain, good nutritional quality and grows according to local agroecological conditions. The research was conducted in January 2023. The determination of the research location was carried out deliberately in the sago production center areas, namely Teluk Sungka Village and Teluk Pantaian Village, Gaung Anak Serka District, with 100 respondents. The results showed that the public's perception of local sago food was very good with a score of 447.
PENGARUH PENDAPATAN, BIAYA ADMINISTRASI UMUM DAN AKTIVA TETAP TERHADAP LABA PADA PT. BELILAS PERMAI INDRAGIRI
Authors: HAPSILA ANGGA , ASTARINA IVALAINA , DEWI PUSPA , REMOFA YUDHA , YASPITA HASANAH
Published: August 2023

Penelitian dilaksanakan untuk menguji dan menganalisis pengaruh pendapatan, biaya administrasi umum dan aktiva tetap terhadap laba pada PT. Belilas Permai Indragiri. Penelitian ini menggunakan data sekunder, penulis mengolah data dengan menggunakan aplikasi Statistical Pacage for the Social Sciences (SPSS) versi 24. Hasil penelitian secara simultan pendapatan, biaya administrasi dan aktiva tetap berpengaruh terhadap laba. Secara parsial pendapatan dan biaya administarsi umum berpengaruh terhadap laba sedangkan aktiva tetap secara parsial tidak berpengaruh terhadap laba
PENGARUH PENDAPATAN DAN PAJAK TERHADAP LABA BERSIH PADA PT. BHARTI NOORGRAHA SEJATI
Authors: HERMANTO HERMANTO , REMOFA YUDA , CORRINA FATTI
Published: August 2023

Penelitian ini dilakukan untuk menguji pengaruh pendapatan dan pajak terhadap laba bersih pada PT. Bharti Noorgraha Sejati. Metode penelitian menggunakan kuantitatif dengan sumber data sekunder, data diolah menggunakan bantuan program IBM SPSS versi 21. Hasil penelitian menunjjukan pendapatan dan pajak secara simultan berpengaruh terhadap laba bersih pada PT. Bharti Noorgraha Sejati, pendaptan dan pajak secara parsial berpengaruh terhadap laba bersih pada PT. Bharti Noorgraha Sejati
An Unsolved Dilemma: Contracted vs. In-House Guarding
Authors: Tiszolczi Balázs Gergely
Published: August 2023

There are questions in the field of physical security that are hard to answer. One such existing dilemma is whether to choose contracted or in-house guarding. Deploying security officers is a must in almost every security system to appropriately handle system-related risks, so most security managers meet this problem during their careers. Since there is no “one size fits all” solution to this problem, in this article, various points of view are shown to help security professionals decide between the two types of service when the question is on the table.
Characteristics of Migration from Ukraine to Hungary in the Last Decade
Authors: Urbán Ferenc
Published: August 2023

The article analyses the changing characteristics of migration from Ukraine to Hungary, also looking at the period before 2010, but mainly at the period between 2010 and 2022. Migration from Ukraine has undergone a number of changes during the period under study due to the socio-economic processes in Ukraine and the war that has broken out in the meantime. Of course, changes in the legal and economic characteristics of Hungary have also had an impact on migration between the two countries. In the course of the analysis, the article takes stock of the changes in legislation and social processes that have taken place and illustrates the impact of these changes on migration with statistical data, highlighting forced migration triggered by the war. The data show that migration from Ukraine has been one of the most important factors influencing the overall migration process in Hungary.
A Brief History of the Evolution of the Hungarian Police Anti-Terror Units (1987–2010)
Authors: Kiss Dávid
Published: August 2023

This paper will attempt to cover the history and evolution of the Hungarian anti-terror capability and the evolution of the dedicated Hungarian police anti-terror units from 1987 up to 2010 from a historical perspective. By using interviews and memoires of former unit members, contemporary manuals and media sources, and presenting the legal background, this paper will attempt to highlight the historical significance, the cultural heritage, and the tactical methodology behind the evolution of the Hungarian stance on terrorism and anti-terrorism from its most acute aspect, the boots on the ground and the operators behind the orders. This paper also includes a brief history and description on the different uniforms, equipment and weapon systems, highlighting the changes in tactical approaches, and varying opportunities in obtaining or developing more modern and advanced technology.