bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterization model of silicon dioxide melting based On image analysis
Authors: Zheng Ting , Li Shangze , Zhang Luyan
Published: May 2022

The silicon dioxide is the hardest part to melt among the iron tailing components, the melting behavior of iron tailing can be represented by the melting behavior of silicon dioxide. Estimating the real-time melting rate of silicon dioxide in the time sequence provide guidance for the tailing addition and heat compensation in the process of slag cotton preparation, also indirectly improved the direct fiber forming technology of blast furnace slag. The position of silicon dioxide particles in the high-temperature molten pool during the melting process is changing constantly, using a strong weighted distance centroid algorithm to rack the centroid position of silicon dioxide particles during the melting process, and present the motion trail of centroid of silicon dioxide. In the paper, extracting indexes which represent the edge outline characteristics of silicon dioxide during the melting process of silicon dioxide using Snake active contour algorithm combined with Sobel operator, include shape, perimeter and area. Using the extracted skeleton characteristics, a three-dimensional skeleton generation model is created. From the skeleton data, estimating the volume of silicon dioxide and determine the parameter formula for the actual melting rate of silicon dioxide. The silicon dioxide melting rate at each moment is calculated by numerical simulation. The results of the Hough test circle and the silicon dioxide melting rate are verified. The rationality of the model is further determined.
RETRACTED: LCBP-STGCN: A local cube binary pattern spatial temporal graph convolutional network for micro-expression recognition
Authors: Wang Yan , Han Jianfeng , Guo Ziqi
Published: May 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Pseudo grey metabolic Markov model and its application in urban rainfall prediction
Authors: Luo Dang , Ma Yan
Published: May 2022

Purpose: The purpose of this paper is to propose a pseudo-grey metabolic grey Markov model to deal with the prediction issue in which the original sequences are oscillation sequences. Design/methodology/approach: First, the original sequences were processed with the accelerated advection transformation and the weighted mean generation transformation to make them smoother. Then, the mean GM (1, 1) model was applied to the multi-step prediction of the pre-processed data sequences. Finally, with the help of the optimal partitioning method, the pseudo-grey metabolic Markov model was used to correct the prediction results and determine the final prediction values. Findings: The results demonstrate that the accuracy of this model is significantly higher than that of the traditional grey Markov model, which further verifies the rationality of the proposed model. Therefore, scientific and reasonable prediction of urban rainfall is of great theoretical significance and application value for the government and decision-making departments to formulate drought prevention and disaster mitigation measures. Originality/value: The model in this paper not only provides new ideas for the data preprocessing problem of the grey Markov model, but also solves the problem of errors due to individual subjectivity in state interval division. It provides a novel idea for the development of grey prediction models. The rationality and validity of the model are illustrated by taking the Zhengzhou City of Henan Province as examples.
RETRACTED: Mode choice behaviours of commuters using multinomial logit model and soft computing technologies: A case study analysis
Authors: Rajanandhini V.M. , Elangovan G.
Published: May 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Preventive track maintenance model using fuzzy weight convolution neural network for metro rail system
Authors: Prabhakaran Priyanka , Subbaiyan Anandakumar , Bhaskaran Priyanka , Velusamy Sampathkumar
Published: May 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Improving self-organizing recursive fuzzy neural network’s performance with Boston matrix
Authors: Yang Shuaishuai , Cong Qiumei , Yu Wen , Yang Jian , Song Jian
Published: May 2022

Aiming at the problem that fuzzy neural network (FNN) is difficult to be adjusted automatically its structure when there is no the threshold of loss function, as well as the problem that the neuron number of the regularization layer of FNN is adjusted by self-organizing algorithm when the structure of FNN is not stable yet, a structural design strategy of self-organizing recursive FNN based on the Boston matrix (SORFNN-BOSTON) is proposed. Compared with other self-organizing algorithms, the method used in this paper does not need to set the threshold of loss function. In addition to the indicators representing the importance of neurons in most self-organizing algorithms, the change rate is used to represent the change of the parameters of the neural network. The change rate is used to determine when the relevant parameters are stable, which further improves the reliability of the neuron adjustment process. Through the simulation of predicting Mackey-Glass time sequence, the final number of neurons in the hidden layer and the testing error are 6 and 0.110 respectively. Comparisons with other self-organizing algorithms show that the testing error decreased by 76.6% at most and 13.3% at least, which proves the practicability of the method.
RETRACTED: Wavelet neural network and complete ensemble empirical decomposition method to traffic control prediction
Authors: ShirMohammadi Mohammad Mehdi , Esmaeilpour Mansour
Published: May 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Artificial intelligence model driven by transfer learning for image-based medical diagnosis
Authors: Okuwobi Idowu Paul , Ding Zhixiang , Wan Jifeng , Ding Shuxue
Published: May 2022

Artificial intelligent (AI) systems for clinical-decision support are an important tool in clinical routine. It has become a crucial diagnostic tool with adequate reliability and interpretability in disease diagnosis and monitoring. Undoubtedly, these models are faced with insufficient data challenges for training, which often directly determines the model’s performance. In order word, insufficient data for model training leads to inefficiency in the model built. To overcome this problem, we propose an AI-driven model by transfer learning in accurate diagnosis for medical decision support. Our approach leverages the shortage of data with a pretrained model by training the neural network with a fraction of the new dataset. For this purpose, we utilized the VGG19 network as the backbone network to support our model in integrating known features with the newly learned features for accurate diagnosis and decision making. Integrating this trained model speeds up the training phase and improve the performance of the proposed model. Experimental results show that the proposed model is effective and efficient in diagnosing different medical diseases. As such, we anticipated that this diagnosis tool will ultimately aid in facilitating early treatment of these treatable diseases, which will improve clinical out-comes.
An advanced electrical vehicle charging station using adaptive hybrid particle swarm optimization intended for renewable energy system for simultaneous distributions
Authors: Albert Johny Renoald , Selvan P. , Sivakumar P. , Rajalakshmi R.
Published: May 2022

A proposed hybrid approaches are incorporated in Electric Vehicle (EV) fast charging station (FCS) using (RES). Hybrid approach is improved by Adaptive Hybrid Particle Swarm Optimization (AHPSO) named as AHWPSO, moreover the proposed work Grey Wolf Optimization (GWO) is assist with adaptive hybridize PSO algorithm. Therefore, an overall pricing cost should be reduced maximum Electric Vehicle Charging Station (EVCS) with minimal installation. This simulation work is verified an adaptive time varying weightage parameters to increase the AHWPSO particle diversity factor. Proposed algorithm is incorporated with improve the novelty, and compared the results are recent version of PSO used for EVCS. Its increase the charging ability, energy loss minimization, voltage deviation reduction, and cost minimization. A distribution micro-grid capacity and demand are tested. Similarly, low to peak period energy variations are controlled by proposed algorithm with reduced capacitor bank. Overall control algorithm code is executed buy MATLAB/Simulink platform, the performance of this work listed, and compare to the existing approaches with achievement of maximum efficiency.
Developing an Integrated Model for Heart Disease Diagnosis (IM-HDD) using ensemble classification methods
Authors: Mohammed Parves , Jabeen Begum S.
Published: May 2022

In present scenario, Heart Disease has become the vital cause of mortality and diagnosis of heart diseases is a great confrontation in the field of medical data analysis. Data Mining is an efficient technique for processing and analyzing larger databases for deriving hidden knowledge appropriately. Hence, it is incorporated in medical data analysis for assisting in effective decision making and disease predictions. With that concern, this paper concentrates on framing an Integrated Model for Heart Disease Diagnosis (IM-HDD) using the advanced data mining conceits. The model considers the significant features of patient data that are available in benchmark datasets. Here, the main objective of the proposed model is to enhance the classification accuracy of patient data on classes under NORMAL and ABNORMAL. For enhancing the classification accuracy, the proposed integrated model utilizes the algorithms such as Decision Tree Algorithm, Naive Baye’s Classification and Ensemble Classifiers called Random Forest and Bagging. Further, performance evaluation is performed for analyzing the proposed work. For that, images from UCI repository are utilized and the comparative analysis shows that the proposed work produces better results than the existing models compared.
Primitive detection of Alzheimer’s disease using neuroimaging: A progression model for Alzheimer’s disease: Their applications, benefits, and drawbacks
Authors: Senthilkumar T. , Kumarganesh S. , Sivakumar P. , Periyarselvam K.
Published: May 2022

Alzheimer’s disease (A.D.) is the most widespread type of Dementia, and it is not a curable neurodegenerative disease that affects millions of older people. Researchers were able to use their understanding of Alzheimer’s disease risk variables to develop enrichment processes for longitudinal imaging studies. Using this method, they reduced their sample size and study time. This paper describes the primitive detective of Alzheimer’s diseases using Neuroimaging techniques. Several preprocessing methods were used to ensure that the dataset was ready for subsequent feature extraction and categorization. The noise was reduced by converting and averaging many scan frames from real to DCT space. Both sides of the averaged image were filtered and combined into a single shot after being converted to real space. InceptionV3 and DenseNet201 are two pre-trained models used in the suggested model. The PCA approach was used to select the traits, and the resulting explained variance ratio was 0.99The Simons Foundation Autism Research Initiative (SFARI)—Simon’s Simplex Collection (SSC)—and UCI machine learning datasets showed that our method is faster and more successful at identifying complete long-risk patterns when compared to existing methods.
New Insights and Implications of Natural Killer Cells in Parkinson’s Disease
Authors: Menees Kelly B. , Lee Jae-Kyung
Published: May 2022

Parkinson’s disease (PD) is the second most common neurodegenerative disease and is characterized by the loss of dopaminergic neurons in the substantia nigra and the abnormal aggregation and accumulation of the alpha-synuclein (α-syn) protein into Lewy bodies. It is established that there is an association between inflammation and PD; however, the time course of the inflammatory process as well as the immune cells involved are still debated. Natural killer (NK) cells are innate lymphocytes with numerous functions including targeting and killing infected or malignant cells, antimicrobial defense, and resolving inflammation. NK cell subsets differ in their effector function capacities which are modulated by activating and inhibitory receptors expressed at the cell surface. Alterations in NK cell numbers and receptor expression have been reported in PD patients. Recently, NK cell numbers and frequency were shown to be altered in the periphery and in the central nervous system in a preclinical mouse model of PD. Moreover, NK cells have recently been shown to internalize and degrade α-syn aggregates and systemic NK cell depletion exacerbated synuclein pathology in a preclinical mouse model of PD, indicating a potential protective role of NK cells. Here, we review the inflammatory process in PD with a particular focus on alterations in NK cell numbers, phenotypes, and functions.
A practice brief: Virtual supports in ACE-IT’s inclusive higher education program
Authors: Lambert Aliza , Lau Stephanie , Camden Jaclyn
Published: May 2022

BACKGROUND: During the onset of COVID-19, universities across the country shifted to virtual modalities. For inclusive postsecondary education programs, this shift required developing new strategies to continue highly individualized supports for students with ID/DD. Navigating this shift demanded collaboration and communication between program staff and students. OBJECTIVE: The purpose of this practice brief is to share strategies used in the 2020-2021 academic school year for VCU ACE-IT in College. In this practice brief, ACE-IT staff reflect on practices to support virtual work and school so other inclusive postsecondary education programs can replicate innovative supports. METHODS: To prepare this practice brief, program staff reviewed program materials and identified programmatic changes that occurred during the 2020-2021 academic year. Program materials included student academic and career case notes, employment shift notes, staff meeting agendas, communications between staff and college instructors, and program training materials. RESULTS: Program staff implemented a variety of strategies to improve organization and communication between students, program staff, college faculty, and employers. Many of these systems have been retained since the height of the COVID-19 pandemic. CONCLUSION: Alternative formats for work and school continue to evolve. It is critical for inclusive postsecondary education programs to integrate virtual supports into their practices so students can prepare to enter the pandemic and post-pandemic workforce.
Targeted motivational interviewing techniques assist the process of verbal de-escalation in vocational rehabilitation
Authors: Buckley Cecilia Pohs , Powers Brady Foster
Published: May 2022

BACKGROUND: In response to a request for training by a state vocational rehabilitation unit on verbal de-escalation for staff, the authors searched the literature on de-escalation best practices specifically in the context of vocational rehabilitation. There was a paucity of literature on the topic. To meet the training request for the state vocational rehabilitation staff, the authors paired the psychometrically validated English Modified De-Escalating Aggressive Behaviour Scale (EMDABS) best practices with motivational interviewing (MI) techniques to support verbal de-escalation. OBJECTIVE: The objective of this article is to describe the best practices of the EMDABS and how certain MI techniques and attitudes can support verbal de-escalation efforts by staff in the vocational rehabilitation process. METHODS: The authors searched literature on de-escalation best practices specifically in the context of vocational rehabilitation. RESULTS: The authors found the psychometrically validated EMDABS best practices paired with MI techniques are potential useful tools to support verbal de-escalation in the process of vocational rehabilitation. CONCLUSION: MI techniques and the EMDABS best practices are useful tools for vocational rehabilitation and employment services staff. Research is needed regarding the applicability of these techniques and practices across the full range of vocational rehabilitation clients.
A new screening test for idiopathic normal pressure hydrocephalus using bimanual coordination: A preliminary study
Authors: Umemori Takuma , Higuchi Takahiro , Nakamura Takayoshi , Nakayama Yasuhide , Fujita Goro , Okuyama Yumi , Kobayashi Kazushige , Abo Masahiro
Published: May 2022

BACKGROUND: The clinical spectrum of idiopathic normal pressure hydrocephalus (iNPH) comprises the triad of gait disturbance, cognitive impairment, and urinary incontinence. However, motor abnormalities involving the upper extremities in iNPH patients have few quantitative studies. OBJECTIVE: The present study was designed to quantitatively assess bimanual tapping tasks in iNPH patients and to compare with the control groups. METHODS: The subjects were divided into three groups: iNPH patients, older healthy group, and younger healthy group. The tasks were three synchronization finger-to-thumb tapping tasks with the auditory stimuli specified at 1 Hz by metronome: unilateral, bimanual simultaneous, and bimanual alternate. Two-way ANOVA was used to compare the outcomes of the three errors (absolute error: AE, variable error: VE, and constant error: CE) for tapping cycles. RESULTS: In the iNPH group, the absolute and variable errors increased in bimanual alternate tapping task with statistical significance (AE: p < 0.05 and VE: p < 0.05). There were no significant differences in errors between the older and young healthy groups (AE: p = 0.62, CE: p = 1.00 and VE: p = 0.31). CONCLUSIONS: We could quantitatively evaluate the bimanual coordination on iNPH patients using the bimanual alternate tapping task, potentially useful for evaluating patients unable to walk.
Juvenis de Tilápias-do-Nilo alimentados com diferentes níveis de inclusão da moringa (Moringa oleifera) na dieta sob avaliação econômica
Authors:   Universidade Estadual do Piauí, Santos Denise Costa dos , Freitas Adyel Kenned Souza ,   Universidade Estadual do Piauí, Ferreira Antônio Hosmylton Carvalho ,   Universidade Estadual do Piauí, Lopes Jonathas Araújo ,   Universidade Estadual do Piauí, Silva João Victor da ,   Universidade Estadual do Piauí, Cunha Ary Machado da ,   Universidade Estadual do Piauí
Published: May 2022

The objective was to evaluate levels of inclusion not yet tested of moringa leaf flour in the diet of Nile tilapia juveniles, under economic analysis. The experimental design was completely randomized, with four levels of inclusion of moringa leaf meal (0%, 5%, 10% and 15%) and five repetitions, with 15 fish with an initial weight of 13.31 ± 0.74 in a 100-liter aquarium as an experimental unit, lasting 30 days. It was observed that the inclusion of this bran in the diet is not feasible, because as this ingredient was included, the feed increased and the profit decreased through the activity.
Research to advance our understanding of off-target dicamba movement in United States agriculture
Authors:   , Oseland Eric
Published: May 2022

The commercialization of dicamba-resistant (DR) crops and subsequent increase in post-emergent applications of dicamba has contributed to millions of acres of dicamba injury to sensitive plant species since 2016. The research presented in this dissertation is designed to provide a better understanding of the environmental conditions and transport mechanisms that influence dicamba volatility and off-target movement and also evaluate the spectral response and yield effects following dicamba and 2,4-D exposure in sensitive soybean. The first study evaluates the effect of soil pH on the volatility of dicamba products. In this study, three commercially-available and one experimental dicamba formulation were applied to trays containing soil at 5 distinct pH values. These trays were placed near sensitive soybean plants to evaluate dicamba volatility. The results of this research found that dicamba applied to soil with lower pH had a higher likelihood of volatilization. The experimental formulation, dicamba choline, had a reduction in volatility compared to the other formulations tested. The second study evaluates the potential of atmospheric accumulation and subsequent rainwater scavenging as a mechanism for dicamba off-target movement. Weekly combined rainwater and dry deposition samples were collected from 12 regions of Missouri. The results of this research found that it is common for dicamba to accumulate in the atmosphere in Missouri and that regional adoption of DR crops is largely responsible for detected concentrations. Stable atmospheric conditions also increased detected concentrations. Lastly, the levels of dicamba detected in regions of Missouri with the highest DR trait adoption were sufficient to cause injury symptoms to sensitive soybean. The final study evaluated the utility of UAV (unmanned aerial vehicle) mounted sensors to predict end of season yield loss in soybean following sub-lethal 2,4-D and dicamba exposure. The results of this research determined that the normalized difference red-edge index was the most consistent vegetative index for predicting end of season yield loss in soybean.
The Combined Effect of Aerobic Exercise and α-Pinene on Pentylenetetrazole-Induced Seizure in Male Rats
Authors:   Department of Physical Education and Sport Sciences, Faculty of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran., Lotfinesab Sadegh , Doulah Abdolhassan ,   Department of Biology, Faculty of Basic Sciences, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran., Rafieirad Maryam ,   Department of Biology, Faculty of Basic Sciences, Izeh Branch, Islamic Azad University, Izeh, Iran.
Published: May 2022

Background: Seizure is due to the abnormal electric activity of neurons in the brain. Because of the side effects of synthetic drugs, plant medicines can be used instead to control seizures. Objectives: This study aimed to investigate the effect of aerobic exercise and α-pinene on pentylenetetrazole-induced seizures in mature male rats. Materials & Methods: A total of 40 Wistar male rats (weight: 200-250 g) were divided into five groups: control (receiving normal saline), positive control (receiving 1 mg/kg diazepam as an antiepileptic drug), aerobic exercise (receiving five sessions of exercise per week, each session for 30 min), α-pinene (receiving 200 mg/kg for 4 weeks), and aerobic exercise plus α-pinene. Thirty minutes after the intervention, 85 mg/kg Pentylenetetrazole (PTZ) was intraperitoneally administered to the rats in all experimental groups, and their seizure-related behaviors were observed and recorded. Results: Combined use of α-pinene and aerobic exercise significantly increased the delay of onset of seizure (P<0.05) and decreased the duration of the tonic-clonic seizure (P<0.001) and the total duration of seizure P<0.001) compared to the control group. Conclusion: The findings showed that the use of α-pinene together with exercise can have preventive effects against pentylenetetrazole-induced seizures in mature male rats through their antioxidant activity.
Chemiluminescence Detection in the Study of Free-Radical Reactions. Part 2. Luminescent Additives That Increase the Chemiluminescence Quantum Yield
Authors: Romodin Leonid A.
Published: May 2022

The present review examines the use of chemiluminescence detection to evaluate the course of free radical reactions in biological model systems. The application of the method is analyzed by using luminescent additives that enhance the luminescence thanks to a tripletsinglet transfer of the electron excitation energy from radical reaction products and its emission in the form of light with a high quantum yield; these additives are called chemiluminescence enhancers or activators. Examples of these substances are provided; differences between the so-called chemical and physical enhancers are described; coumarin derivatives, as the most promising chemiluminescence enhancers for studying lipid peroxidation, are considered in detail. The main problems related to the use of coumarin derivatives are defined, and possible ways of solving these problems are presented. Intrinsic chemiluminescence and the mechanism of luminescence accompanying biomolecule peroxidation are discussed in the first part of the review.
Immunogenic Cell Death in Cancer Therapy
Authors: Troitskaya Olga S. , Novak Diana D. , Richter Vladimir A. , Koval Olga A.
Published: May 2022

Apoptosis plays a crucial role in chemotherapy-induced cell death. The conventional theory holding that apoptosis needs to be immunologically silent has recently been revised, and the concept of immunogenic cell death (ICD) has been proposed. This review describes the main features of ICD induction. These ICD markers are important for the effectiveness of anticancer therapy, as well as for basic research into cell death regulation. The mechanism of the vaccination effect of dying cancer cells undergoing ICD has been fully described, including the activation of specific antitumor response after re-challenge by the same living tumor cells. This review also discusses the whole set of molecular events attributing cell death to immunogenic type: the exposure of calreticulin and the heat shock protein HSP70 to the outer surface of the cell membrane and the release of the nuclear protein HMGB1 and ATP into the extracellular space. ICD inducers of various nature (chemotherapy drugs, cytotoxic proteins, and oncolytic viruses), as well as physical methods, are classified in the current review.
Tandem Exon Duplications Expanding the Alternative Splicing Repertoire
Authors: Ivanov Timofei M. , Pervouchine Dmitriy D.
Published: May 2022

Tandem exon duplications play an important role in the evolution of eukaryotic genes, providing a generic mechanism for adaptive regulation of protein function. In recent studies, tandem exon duplications have been linked to mutually exclusive exon choice, a pattern of alternative splicing in which one and only one exon from a group of tandemly arranged exons is included in the mature transcript. Here, we revisit the problem of identifying tandem exon duplications in eukaryotic genomes using bioinformatic methods and show that tandemly duplicated exons are abundant not only in the coding parts, but also in the untranslated regions. We present a number of remarkable examples of tandem exon duplications, identify unannotated duplicated exons, and provide statistical support for their expression using large panels of RNA-seq experiments.
3D Models of Cellular Spheroids As a Universal Tool for Studying the Cytotoxic Properties of Anticancer Compounds In Vitro
Authors: Sogomonyan Anna S. , Shipunova Victoria O. , Soloviev Vladislav D. , Larionov Vladislav I. , Kotelnikova Polina A. , Deyev Sergey M.
Published: May 2022

The aim of this work is to develop a 3D cell culture model based on cell spheroids for predicting the functional activity of various compounds in vivo. Agarose gel molds were made using 3D printing. The solidified agarose gel is a matrix consisting of nine low-adhesive U-shaped microwells of 2.3 3.3 mm for 3D cell spheroid formation and growth. This matrix is placed into a single well of a 12-well plate. The effectiveness of the cell culture method was demonstrated using human ovarian carcinoma SKOVip-kat cells stably expressing the red fluorescent protein Katushka in the cytoplasm and overexpressing the membrane-associated tumor marker HER2. The SKOVip-kat cell spheroids were visualized by fluorescence microscopy. The cell concentration required for the formation of same-shape and same-size spheroids with tight intercellular contacts was optimized. To verify the developed model, the cytotoxicity of the targeted immunotoxin anti-HER2 consisting of the anti-HER2 scaffold DARP 9_29 and a fragment of the Pseudomonas aeroginosa exotoxin, DARP-LoPE, was studied in 2D and 3D SKOVip-kat cell cultures. The existence of a difference in the cytotoxic properties of DARP-LoPE between the 2D and 3D cultures has been demonstrated: the IC50 value in the 3D culture is an order of magnitude higher than that in the monolayer culture. The present work describes a universal tool for 3D cultivation of mammalian cells based on reusable agarose gel molds that allows for reproducible formation of multicellular spheroids with tight contacts for molecular and cell biology studies.
Features of Ivan Ohiienko's language style
Authors:   Kamyanets-Podilskіy National Ivan Ohііеnko University, Yaremchuk Inna
Published: May 2022

The article analyzes the peculiarities of the language style of the outstanding Ukrainian scientist, Professor Ivan Ohiienko. Ivan Ohiienko is known to have made a great contribution to the development of the stylistics of the Ukrainian language.An important contribution to the normalization of the stylistics of the Ukrainian lan-guage is «Ukrainian Stylistic Dictionary: A Textbook for the Study of Literary Language» by Ivan Ohiienko. The dictionary contains a number of stylistic instructions, materials for historical understanding of spelling and literary variants of grammatical forms.It is an established fact that many normative words suggested by Ivan Ohiienko were accepted by modern stylistics. The scientist considered purity, uniqueness, correctness, cla-rity of form, richness of forms, and color to be the main features of any literary language. Ivan Ohiienko’s magazine «Ridna Mova» came to be considered as a fi nd for studying the author’s style. At the same time, the analysis of the material of his scien-tifi c achievements allows modern linguists to solve current linguistic issues.It is concluded that Ivan Ohiienko’s language style is relatively autologous and at the same time expressive. Ivan Ohiienko’s language is characterized by considerable refl ec-tions laden with emotional expressiveness, which manifests itself in emotionally-colored appeals and pleas, digressions, rhetorical questions, and exclamatory intonations.Our research shows that the emotionality and expressiveness of Ivan Ohiienko’s language are enhanced due to the use of syntactic means of expression: apiopesis, and grammatical parallelism.Attention is drawn to the fact that Ivan Ohiienko’s language style is characte-rized by expressiveness, which produces a pragmatic eff ect on the reader. The author infl uences the development of events in the text; shows a negative or positive attitude, raises questions of life truths and thus aff ects the understanding, awareness of the problem by the reader. Figurative components in I. Ohiienko’s texts are used to infl u-ence the emotional sphere of the addressee, they inform, persuade, and encourage
Ukrainian recruiting song: the concept of death through the prism of I. Ohiienko's ideas
Authors:   Kryvyi Rih State Pedagogical University, Melnyk Nataliia
Published: May 2022

The article addresses to ideological and artistic concept of death in artistic fi eld of ukrainian folk recruit songs from the standpoint of I. Ohiienko’s ideas.The spotlight is given to refl ection of tragic disposition of an individual at the recruit songs cycle. The refl ection defi nes the role of death concept as a key meaning making notion. Understanding of death by the subject of lyrical narrative is based on foundation of ukrainian mythology, that emerged in pre-Christian period.According to nowadays classifi cation of semantic levels of death concept (fatal, total and heroic), the components of folk image of fatal death represented in recruit sinning are stressed on.The attention is accentuated on tight bound of death image with traditional myth-ological image of Fate. Their ideological and artistic functions in the text matter of composition are defi ned. Recruit song represents the understanding of tragic events related to draft, duty, war as manifestation of fatal miserable fate often of certain individual from the very birth. Semantic couple death/ funeral, is traditional for recruit (soldier) sinning gets new meanings, recited by grim reality. The motive of recruit (soldier) death at war (foreign land), the lack of traditional syllabic of funerals broadens to the motive of lonely mother’s death, son’s absence at the funeral, that changes spatial coordinates (not foreign land but homeland).Military duty that requires killing of others, is considered by folk consciousness as a sin (although executed against one’s will), which will surely be paid off (death). That’s why the motive of death as a redemption for the awful sin of killing is broad-ened in compositions of mentioned subject. In conclusion the concept of death in social and household sinning of recruit cycle is one of the most important notions that determinate ideological gist of com-positions. Recruitment, military duty are associated in the consciousness of subject of the song with awful end. Tragic disposition of lyric narrative hero reinforces by understanding of impossibility of traditional funeral that is crucial part of general picture of human existence, its image of death and life.
Memperkuat Kelembagaan Pemerintah Desa Untuk Menjamin Keberlangsungan Ekosistem Wilayah
Authors: Sigit Wibawanto
Published: May 2022

The regional ecosystem has now reached a stage that is prone to damage. This is caused by the growth of development and changes in people's lifestyles who do not care about environmental sustainability. Environmental health is now seen as a result of changing civilizations and is no longer something that needs to be controlled. This thinking now does not only occur in urban communities, but also occurs in rural communities. Involving the government as the controller and person in charge of change requires improvement from the institutional aspect, including the lowest government, namely the government. By having the ability to manage the government, it is hoped that they will be able to repair the damage to the ecosystem that has been happening in their respective regions. Strongly managed institutions regarding environmental sustainability will ensure that the regional ecosystem will be well maintained.
Program Edukasi Literasi Digital Dan Pendampingan Masyarakat Dalam Mengatasi Dampak Pandemi Di Desa Manisharjo, Kabupaten Sukoharjo
Authors: Agustyarum Pradiska Budi
Published: May 2022

KKN Tematik merupakan wadah bagi dosen dan mahasiswa untuk mengabdikan ilmu dan teknologi yang telah diperoleh di kampus untuk diterapkan di masyarakat. Tujuan utama merespon pemulihan sosial dari dampak pandemi Covid-19 yang melanda Desa Manisharjo. Program yang dilaksanakan berfokus pada pemulihan psikologis anak, pemahaman tentang kesehatan dan pemberdayaan masyarakat. Hasil dari pelaksanaan kegiatan utama adalah Sosialisasi Mengatasi Kecanduan Gadget dan Bijak Menggunakan Media Sosial untuk Orang Tua, Literasi Digital Bijak dalam Penggunaan Media Sosial untuk Anak, Bimbingan Belajar “wajib belajar 1 jam”, mendongeng, Pola Hidup Bersih dan Sehat (PHBS) di Puskesmas Terpadu Lansia dan Balita, Pemeriksaan Kesehatan Gratis dan Sosialisasi Stunting, Pemulihan Kegiatan Keagamaan melalui Pengajaran Al-Quran. Selain kegiatan utama, banyak kegiatan lain yang juga didukung yang mampu mendorong pemulihan kondisi pasca-Covid-19. Tindak lanjut kegiatan KKN Tematik dapat disarankan untuk fokus pada pemberdayaan masyarakat desa Manisharjo fokus pada Usaha Kecil Menengah (UKM).
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENGGUNAAN TEKNOLOGI MOBILE PAYMENT PADA GENERASI BABY BOOMERS DI INDONESIA
Authors: Fauziridwan Meydy
Published: May 2022

The use of technology today is enjoyed by all generations, but the baby boomers generation is the one who can have minimal knowledge of technology. The baby boomer generation itself is people who were born in 1946 – 1964. The purpose of this study is to determine the factors that influence mobile payment technology in the baby boomer generation.

This research is a quantitative research and the respondents in this study were 160 respondents. In this study, samples were taken by non-probability sampling, namely by purposive sampling technique. Based on the data analysis, it is known: (1) perceived usefulness has a positive and significant effect on behavioral intention to use, (2) perceived ease of use has a positive and significant effect on behavioral intention to use, (3) perceived risk has a negative and significant effect on behavioral intention to use (4) social influence has a positive and significant effect on behavioral intention to use.
PERAN SOCIAL IDENTIFICATION DAN PERCEIVED VALUE DALAM MEMEDIASI HUBUNGAN SOCIAL MEDIA MARKETING ACTIVITIES DAN PURCHASE INTENTION
Authors: Mahyuzar Heri
Published: May 2022

Penelitian ini bertujuan untuk menganalisis peran Social Identification dan Perceived Value dalam memediasi hubungan Social Media Marketing Activities dan Purchase Intention. Populasi pada penelitian ini adalah semua pengguna media sosial di Indonesia. Adapun sampel penelitian yang digunakan pada penelitian ini sebanyak 116 responden yang dipilih berdasarkan purposive sampling. Teknik pengumpulan data dalam penelitian ini menggunakan metode survey dengan cara mengirimkan kuesioner. Alat analisis yang digunakan adalah SEM (Structural Equation Modeling).

Berdasarkan analisis yang telah dilakukan diperoleh bahwa secara parsial Social Media Marketing Activities berpengaruh positif signifikan terhadap Social Identification, Perceived Value dan Purchase Intention. Social Identification berpengaruh positif signifikan terhadap Purchase Intention. Perceived Value berpengaruh positif signifikan terhadap Purchase Intention.
Pengaruh Net Profit Margin, Debt to Equity Ratio dan Price Book Value Terhadap Harga Saham pada Perusahaan Minyak dan Gas Yang Terdaftar pada BEI Periode 2017 – 2020
Authors: Azhar Dzulfiqor
Published: May 2022

Penelitian ini bertujuan untuk menganalisa dan mengetahui pengaruh net profit margin, debt to equity ratio, dan  price to book value terhadap harga saham pada perusahaan minyak dan gas yang terdaftar pada BEI periode 2017 – 2020. Sampel dalam penelitian ini terdiri dari 8 perusahaan sektor minyak dan gas pada periode 2017 – 2020. Pengambilan sample menggunaka teknik purposive sampling. Teknik analisis data yang digunakan adalah regresi linier berganda. Hasil penelitian menunjukan bahwa secara parsial net profit margin berpengaruh signifikan negatif terhadap harga saham. Debt to equit ratio, dan price to book value secara parsial tidak ada pengaruh signifikan terhadap harga saham. Net profit margin, debt to equity ratio, dan price to book value secara simultan berpengaruh terhadap harga saham pada perusahaan minyak dan gas yang terdaftar pada BEI periode 2017 – 2020.
Pengaruh Product Features, Advertising Attractiveness, dan Celebrity terhadap Keputusan Penggunaan Platform Media Sosial Tiktok
Authors: Utami Dyah Putri , Trifiyanto Kabul
Published: May 2022

Penelitian ini bertujuan untuk mengetahui pengaruh product features, advertising attractiveness dan celebrity terhadap keputusan penggunaan platform media sosial TikTok. Teknik pengumpulan data dalam penelitian ini dilakukan dengan menyebar kuesioner kepada 100 orang responden pengguna platform media sosial TikTok dengan menggunakan purposive sampling sebagai teknik pengambilan sampel. Teknik analisis data yang digunakan dalam penelitian ini yaitu menggunakan analisis deskriptif dan analisis statistik yang meliputi uji instrumen, uji asumsi klasik, analisis regresi linear berganda, uji hipotesis, dan uji koefisien determinasi dengan menggunakan bantuan program SPSS 25 for windows. Hasil penelitian ini menunjukkan bahwa variabel product features, advertising attractiveness, dan celebrity secara parsial dan secara simultan berpengaruh signifikan terhadap keputusan penggunaan platform media sosial TikTok. Berdasarkan hasil uji koefisien determinasi (R2) diperoleh nilai Adjusted R Square sebesar 0,584 artinya bahwa variabel keputusan penggunaan (dependent) yang dijelaskan oleh variabel independent product features, advertising attractiveness, dan celebrity dalam penelitian ini adalah sebesar 58,4% sedangkan 41,6% dipengaruhi oleh variabel lain yang tidak dijelaskan dalam penelitian ini.
Pengaruh Kecerdasan Emosional dan Perceived Organizational Support Terhadap Organizational Citizenship Behavior dengan Komitmen Organisasi Sebagai Variabel Intervening
Authors: Fatmawati Anjar , Azizah Siti Nur
Published: May 2022

Penelitian ini bertujuan untuk menganalisis pengaruh kecerdasan emosional dan perceived organizational support terhadap organizational citizenship behavior dengan komitmen organisasi sebagai variabel intervening pada BPS Kabupaten Kebumen. Populasi dalam penelitian ini adalah Pegawai Negeri Sipil (PNS) di BPS Kabupaten Kebumen yang berjumlah 47 orang. Metode pengambilan sampel yang digunakan adalah sampel jenuh sehingga jumlah seluruh populasi digunakan untuk dijadikan sampel. Pengumpulan data dilakukan melalui wawancara dan penyebaran kuesioner. Analisis data yang digunakan adalah uji validitas dan reliabilitas, uji asumsi klasik yang terdiri dari uji multikolinieritas, uji heteroskedastisitas, dan uji normalitas, uji hipotesis terdiri dari uji t, dan uji koefisien determinasi, analisis korelasi, uji sobel, dan analisis jalur. Hasil analisis menunjukan bahwa kecerdasan emosional berpengaruh positif dan signifikan terhadap komitmen organisasi pada pegawai BPS Kabupaten Kebumen. Perceived organizational support berpengaruh positif dan signifikan terhadap komitmen organisasi. Kecerdasan emosional tidak berpengaruh langsung terhadap organizational citizenship behavior. Perceived organizational support berpengaruh positif dan signifikan terhadap organizational citizenship behavior. Komitmen organisasi berpengaruh positif dan signifikan terhadap organizational citizenship behavior. Penelitian ini juga berhasil membuktikan bahwa kecerdasan emosional berpengaruh terhadap organizational citizenship behavior yang dimediasi oleh komitmen organisasi. Komitmen organisasi juga dapat memediasi pengaruh perceived organizational support terhadap organizational citizenship behavior.
Pengaruh Perceived Trust dan Perceived Risk Terhadap Behavioral Intention dengan Perceived Ease of Use sebagai Variabel Intervening
Authors: Meida Laela , Trifiyanto Kabul
Published: May 2022

Penelitian ini bertujuan untuk mengetahui pengaruh perceived trust dan perceived risk terhadap behavioral intention melalui perceived ease of use sebagai variabel intervening. Populasi dalam penelitian ini adalah masyarakat di Kabupaten Kebumen yang pernah menggunakan Fitur Shopee PayLatter. Sampel penelitian sebanyak 100 orang dengan metode accidentiial sampling. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif. Analisis data mengunakan analisis jalur dengan progam SPSS 25 dan sobel test. Hasil penelitian ini menunjukan bahwa perceived trust dan perceived risk berpengaruh terhadap perceived ease of use. Selanjutnya perceived risk tidak berpengaruh terhadap behavioral intention, sedangkan perceived trust dan perceived ease of use berpengaruh dan signifikan terhadap behavioral intention. Serta perceived ease of use dapat memediasi antara variabel perceived trust dan perceived risk terhadap behavioral intention.
Pengaruh Kompensasi, Lingkungan Kerja Non Fisik dan Person-Job Fit Terhadap Kepuasan Kerja Karyawan
Authors: Priyatin Priyatin , Helmy Irfan
Published: May 2022

Penelitian ini bertujuan untuk mengetahui pengaruh Kompensasi, Lingkungan Kerja Non Fisik dan Person-Job Fit terhadap Kepuasan Kerja Pada Perawat Tetap di RSU Permata Medika Kebumen. Sampel dalam penelitian ini sebanyak 43 responden dengan menggunakan teknik pengambilan sampel yaitu teknik non probability sampling yaitu sampel jenuh sebanyak 43 perawat tetap.. Metode pengumpulan data dengan kuisioner dengan metode analisis statistika, dilakukan uji validitas, reliabilitas, multikolenieritas, heterokedastisitas, normalitas dan analisis regresi. Sikap responden dengan skalaa likert dan data diolah dengan alat bantu SPSS for windows versi 22. Hasil penelitian menunjukkan bahwa Kompensasi berpengaruh terhadap Kepuasan Kerja, Lingkungan Kerja Non Fisik berpengaruh terhadap Kepuasan Kerja, Person-Job Fit berpengaruh terhadap Kepuasan Kerja, dan Kompensasi, Lingkungan Kerja Non Fisik, Person-Job Fit secara bersama-sama berpengaruh terhadap Kepuasan Kerja Perawat tetap di RSU Permata Medika Kebumen. Hasil pengujian ini menunjukkan bahwa nilai R square sebesar 0,577 artinya sebesar 57,7% variabel Kepuasan Kerja dapat dijelaskan oleh variabel Kompensasi, Lingkungan Kerja Non Fisik dan Person-Job Fit, sedangkan sebesar 42,3% (100% - 57,7%) dapat dijelaskan oleh variabel lain yang tidak ada dalam model penelitian ini.
Pengaruh Price Earning Ratio, Profitabilitas dan Ukuran Perusahaan Terhadap Nilai Perusahaan dengan Struktur Modal Sebagai Variabel Moderasi
Authors: Wansani Setiyaning Dwi , Mispiyanti Mispiyanti
Published: May 2022

Nilai perusahaan tercermin dalam harga saham perusahaan yang tercermin dalam daya tawar saham. Pertumbuhan perusahaan merupakan salah satu indikator atau pengukuran tentang bagaimana perusahaan berkembang atau tumbuh dalam periode tertentu. Penelitian ini dilakukan untuk menguji pengaruh price earning ratio, profitabilitas dan ukuran perusahaan terhadap nilai perusahaan dengan struktur modal sebagai variabel moderasi pada perusahaan sub sektor otomotif dan komponen yang terdaftar di BEI tahun 2018-2020. Teknik penentuan sampel adalah menggunakan purposive sampling. Populasi pada penelitian ini sebanyak 13 perusahaan dengan jumlah sampel sebanyak 12 perusahaan. Penelitian ini menggunakan data triwulan dengan jumlah data 144 sampel dan menggunakan SPSS 25 sebagai alat uji statistik untuk menguji uji statistik deskriptif, uji asumsi klasik, uji hipotesis, uji regresi linier berganda dan uji residual. Hasil penelitian menunjukkan bahwa price earning ratio, profitabilitas dan ukuran perusahaan berpengaruh positif terhadap nilai perusahaan. Struktur modal memperlemah hubungan antara price earning ratio, profitabilitas dan ukuran perusahaan terhadap nilai perusahaan.
EVALUASI PROGRAM PRAKTEK KERJA INDUSTRI (PRAKERIN) DI SMK NEGERI 3 GORONTALO
Authors: Yuningsih Sri
Published: May 2022

Tujuan penelitian ini adalah untuk mengetahui: (1)  evaluasi komponen masukan program praktek kerja industri di SMK Negeri 3 Gorontalo, (2) evaluasi komponen proses program praktek kerja industri di SMK Negeri 3 Gorontalo, (3) evaluasi komponen produk program praktek kerja industri di SMK Negeri 3 Gorontalo.Metode yang digunakan dalam penelitian ini adalah metode deskriptif dengan model evaluasi Stake meliputi aspek masukan, proses, dan produk Program Praktek Kerja Industri (Prakerin). Sumber data dalam penelitian ini adalah sumber data primer dan data sekunder. Data dikumpulkan melalui observasi, wawancara, dokumentasi dan angket.Temuan hasil penelitian adalah pertama, hasil evaluasi terhadap komponen masukan prakerin di SMK Negeri 3 Gorontalo berada pada kategori tinggi. Kedua, hasil evaluasi terhadap komponen masukan prakerin di SMK Negeri 3 Gorontalo berada pada kategori tinggi. Ketiga, hasil evaluasi terhadap komponen masukan prakerin di SMK Negeri 3 Gorontalo berada pada kategori tinggi.Kesimpulan penelitian ini adalah (1) hasil evaluasi terhadap komponen masukan Praktek Kerja Industri di SMK Negeri 3 Gorontalo meliputi aspek: rekruitmen siswa baru, persyaratan administrasi siswa baru, latar belakang pendidikan guru dan instruktur, kurikulum prakerin, kalender pendidikan, fasilitas dan bahan praktek, dan pembiayaan. (2) Hasil evaluasi terhadap komponen proses program Prakek Kerja Industri di SMK Negeri 3 Gorontalo difokuskan pada aspek: peguasaan dalam penyiapan Adm./pembelajaran, penguasaan guru produktif dalam kegiatan pembelajaran, interaksi dengan siswa, administrasi naskah kerjasama, tempat prakerin, kompetensi instruktur, dan kesesuaian kompetensi siswa dengan tempat prakerin. (3) Hasil evaluasi komponen produk Program Praktek Kerja Industri di SMK Negeri 3 Gorontalo difokuskan pada aspek prestasi akademik siswa, hasil ujian nasional, dan keterserapan lulusan di dunia kerja.