bluuebunny/crossref_metadata_2025 huggingface dataset:
Pulse­forming network with damping resistors
Authors:   State University of Telecommunications, Rudenko N. V.
Published: January 2023

The paper is dealing with the processes in pulse-forming networks, which are used in pulse modulators of different radio-technical installations. It is stressed, that the main problem that the designers of the pulse-forming networks face is to secure required form of the pulse under conditions of the network discharge over the matched load. In the previous paper, to improve the form of this pulse, it was proposed to use damping resistor connected in parallel to the first inductance. In this case, it was demonstrated that under optimal choice of the network damping resistor and the first capacitor parameters, maximum relative deviation of the modulator pulse amplitude from the expected value decreases approximately 12 times. In the current paper, to study possibilities of the further decrease of the relative deviation of the pulse amplitude from the expected value, it is proposed to also use damping resistor connected in parallel to the second inductance of the network. To perform the mentioned research, the previously developed computer simulation model was perfected with account of adding to the network diagram of the damping resistor in parallel with the second inductance. Trials of the improved computer simulation model with two damping resistors proved that while connecting the resistor in parallel to the second network inductance and tuning the value of the capacitor of the network, relative deviation of the pulse amplitude from the expected value decreases from 0.8 to 0.5 per cent. This pulse form amelioration appears to be sufficiently big, taking into account negligible cost of the elements that are added to the pulse-forming network. Proposed and researched with the help of developed and improved computer simulation model pulse-forming network can be used in pulse modulators of different radio-technical installations, in telecommunication networks and radiolocation. This is especially relevant for those pulse modulators that feed power amplifiers sensitive to the deviation of the voltage of the pulse power supply.
Assessment of digital channels of communication with defined reliability characteristics
Authors:   State University of Telecommunications, Shmigel B. O.
Published: January 2023

In the classical theory of telecommunications, an indicator of reliability is the probability of an information bit error. In modern international standards and recommendations, there is a hierarchy of quality indicators of the communication channel based on measurements, which is not related to the classical theory of noise immunity. The procedures for measuring the quality indicators of information transmission are possible only when using an already existing telecommunication system. The use of the classical theory of noise immunity makes it possible to provide for the correspondence of the energy parameters to the necessary quality indicators for the future communication system. The research aims to develop a unified methodology to assess the quality of communication channels and combine the classical theory of telecommunications with international recommendations and standards. To find the relationship between them, we analyzed existing methods of assessing the quality of communications channels, developed an algorithm for assessing the quality parameters and analyzed the characteristics of the channel. The methodology helps to assess the level of compliance of the quality parameters of information transmission through the channels of existing digital telecommunication systems with the requirements of international standards and recommendations. It is possible to research the behavior of quality indicators and optimize the operation of existing and design new digital communication channels according to the criteria of the quality of information transmission in accordance with the requirements of international standards and recommendations.
ASSESSMENT OF AGROECOLOGICAL STATE OF ARABLE LANDS OF FOREST-STEPPE ZONE OF RIVNE REGION
Authors: Klуmenko Mykola , Klуmenko Oleksandr , Dolzhenchuk Viktor , Onyshchuk Nataliia
Published: January 2023

Assessment of agroecological state of arable lands of forest-steppe zone of Нoshcha district, Symoniv Village Council was carried out. Agroecological state of forest-steppe arable lands has undergone essential changes for the forty-five year period of their exploitation. These changes can be divided into three periods: the first one (between 1965 to 1990) – the growth of their fertility level, the second (between 1990 to 1995) – relatively stable level of fertility, and the third (between 1996 to 2010) – gradual decrease of their fertility. According to complex estimаtion of agroecological state prevailing majority of forest-steppe areas of Rivne region are referred to category unsufficiently fit for formation there special raw zones with integrated index randing from 0,40 to 0,49 and arable lands of Нoshcha region are qualified as unsufficiently fit (0,44-0,47) andpartly unfit (0,20-0,38). It is ascertained that arable lands of Symoniv Village Council according to integrated agroecological index within the period between 2001 to 2005 are estimated as the category of unsufficiently fit (0,58) and  within the period between 2016 to 2020 as unfit (0,35).
EFFICIENCY OF USING NON-TRADITIONAL TYPES OF FERTILIZERS OF MELIORANTS ON RADIOACTIVELY CONTAMINATED SOILS
Authors: Turchуna Kateryna , Brezhуtska Olena , Stetsiuk Liudmyla
Published: January 2023

When organizing agricultural production in territories where the contamination of products does not lead to exceeding the limits of individual radiation doses, the collective criterion is the collective dose of population exposure. In such cases, the optimization of the structure of agricultural production is aimed at achieving a minimum flow of radioactive cesium into the body of the population with food. In the distant post-аccident period, the challenge is to ensure the costeffective production of agricultural products with the lowest possible concentration of radionuclides in specific envirоnmental conditions. Measures to reduce the concentration of radionuclides in products below the established standards are taken taking into account their economic feasibility. It is possible to achieve reduction of the radionuclide migration intensity through the implementation of nature conservation measures, maintenance of soil-protective systems of agriculture with contour-reclamation organization of the territory, use of machines and technologies that enhance the barrier function of naturallandscapes. he article shows the influence of local raw materials (phosphorites, limestone, glauconite, sapropel), as fertilizers and ameliorants, on the grain yield of oats and lupine. It is proved that the use of non-traditional types of fertilizers and ameliorants contribute to increasing the bio-productivity of soddy-weakly podzolic sandy soil, as well as reduce the content of radionuclides in grain. According to the results of the studies, it can be concluded that the use of local raw materials (phosphorites, glauconite sands, limestone, sapropel) as ameliorants and fertilizers for growing crops is an effective agricultural method, especially on radioactivelycontaminated lands. In addition, it should be noted that the use of ameliorants is cost-effective, which provides a cost recovery.
GEOECOLOGICAL STATUS OF LOCAL TERRITORIES AS A PREREQUISITE FOR THE DEVELOPMENT OF RURAL UNITED TERRITORIAL COMMUNITIES OF THE WEST POLISSІA REGION
Authors: Lyko Dariia , Mudrak Oleksandr , Lyko Serhii , Portukhaі Oksana , Мартинюк Vitalii , Zubkovуch Ivan , Yakuta Olha
Published: January 2023

The geoecological status of the territory of the Kozyn Rural United Territorial Community (RUTC) has been analyzed by the following indicators: the structure of the land fund, emissions of pollutants into the air, water use and drainage, solid household waste, the percentage of conservation of the territory. The agrochemical points of the most widespread agricultural produсtion groups of soils, according to which they belong to the V and VI groups and characterized by average quality, are considered. Cartographic models of forest and agricultural land, plowed land, the ratio of ecologically-stabilized lands (ESL) to anthrоpogenicallytransformed lands (ATL) have been constructed. A significant excess of ATL over ESL was found (87.99% / 12.01%), which confirms a very high level of transformation of landscape complexes. The coefficient of economic development of the territory is calculated, which indicates the critical geo-ecological state of the RUTC.According to the results of the SWOT analysis, the weaknesses of theecological block of the sustainable development model of the Kozyn rural (RUTC) were identified, which included: high level of inclusion in the economic circulation of land resources, which threatens the balance of development of agroecosystems; high level of transformation of landscape complexes; a small percentage of forested areas; imperfect solid waste management system; lack of centralized cleaning of drainage systems; insufficient percentage of protected areas in accordance with the requirements of the European environmental legislation.
THE INFLUENCE OF BRAND AMBASSADOR, TRUST, PRICE AND PRODUCTS ON PURCHASE DECISIONS AT SHOPEE INDONESIA (CASE STUDY ON PEKANBARU STUDENTS)
Authors: Gusdaputra Damra , Afwa Awliya , Asril Asril , Anggraini Nia
Published: January 2023

ABSTRACTShopee is a popular online shopping platform in Indonesia. This platform offers a wide range of products from various sellers, including products specifically targeted towards students. This research was conducted to find out whether there is an Influence of Brand Ambassador, Trust, Price and Product on Purchasing Decisions (case study in Pekanbaru students). The object of this study is Shopee Indonesia with an active student population of universities in Pekanbaru (UNRI, UIR, UMRI, UNILAK and UIN) who have worked at Shopee Indonesia with a sample of 198 people. The sampling technique, namely by  using simple random sampling  using snowball sampling data collection techniques,  the results of this study show that Brand Ambassador and  Trust do not have  a significant effect on purchasing decisions at Shopee Indonesia by Pekanbaru students, while Prices and Products have a significant influence on purchasing decisions on Shopee Indonesia by Pekanbaru students. This research is conducted due to the shift in Indonesian society's shopping behavior, from traditional shopping behavior to digitalization with online buy and sell transactions. The implication of the results of this research is the importance of Shopee providing quality products at prices that meet the desires and target market.Keywords: Brand Ambassador, Trust, Pricing, Products, and Purchasing Decisions
Fish as a Resource and a Curiosity in International Exhibitions at the End of the Nineteenth Century
Authors: Lajus Julia
Published: January 2023

Fish and other water edible animals are the most numerous wild creatures that still are perceived as natural resource. Their individuality in perception by humans is mostly not recognised. In this paper I would like to discuss how fish were displayed and perceived at the World Fairs and specialised Fisheries Exhibitions that were quite numerous between 1880 and the beginning of the First World War. Among them the Great International Fisheries Exhibition in London in 1883 was the most significant and abundant and provided much material that remains not well studied by historians. Many fishing nations provided booklets and other materials for the exhibitions; the reception of the displays was discussed in scientific and popular publications and public media that included also visual materials. Why did fish become the object of such interest to the general public? What kind of stories were different nations and regions trying to tell through these displays and publications? How did fish link and divide people, especially the experts? Fisheries, as a sector of the economy, united archaic technologies and culture with the call for progress and modernisation. In addition, interest was concentrated around animals from whom humans felt removed at a large distance but who mystified them by their diversity in shape, colours, movement and, finally, taste.
Retrospective Action Research on Facilitating Equitable Learning Outcomes in a Diverse Class
Authors: Janse van Rensburg Ariane
Published: January 2023

In a South African class with complex diversity, certain student groupings were not performing equitably in relation to their potential. An Educational Action Research (AR) process of designing multiple, integrated practice changes over three years successfully redressed disparities, but the full impact of interventions could only be analysed in retrospect. Combining empirical observations with subsequent data collection to produce a theorised model, a transferable methodology using quantitative triangulation was designed to overcome the challenges of a rigorous retrospective AR study. This article discusses the integrated teaching interventions and the application of retrospective AR methodology.
Defending against adversarial attacks on graph neural networks via similarity property
Authors: Yao Minghong , Yu Haizheng , Bian Hong
Published: January 2023

Graph Neural Networks (GNNs) are powerful tools in graph application areas. However, recent studies indicate that GNNs are vulnerable to adversarial attacks, which can lead GNNs to easily make wrong predictions for downstream tasks. A number of works aim to solve this problem but what criteria we should follow to clean the perturbed graph is still a challenge. In this paper, we propose GSP-GNN, a general framework to defend against massive poisoning attacks that can perturb graphs. The vital principle of GSP-GNN is to explore the similarity property to mitigate negative effects on graphs. Specifically, this method prunes adversarial edges by the similarity of node feature and graph structure to eliminate adversarial perturbations. In order to stabilize and enhance GNNs training process, previous layer information is adopted in case a large number of edges are pruned in one layer. Extensive experiments on three real-world graphs demonstrate that GSP-GNN achieves significantly better performance compared with the representative baselines and has favorable generalization ability simultaneously.
Effects of environmental control before sleeping on autonomic nervous activity and sleep: A pilot study
Authors: Matsuhisa Yuko , Ide Kazuhiro , Nakamura Toru , Kunugida Yuki , Yamamura Takuya , Komazawa Makoto , Masuda Koichi , Kataoka Yosky
Published: January 2023

Sleep disorders are one of the causes that impair our quality of life, and adjustment of autonomic nervous activity can improve the sleep quality. The authors examined the effects on the sleep quality with adjustment of autonomic nervous activity by individually optimizing complex environment before sleep. Sixteen subjects underwent an environment optimization experiment during the day and subsequent sleep experiment (9 days/individual) and the ratio of low-frequency to high-frequency (LF/HF) components of heart rate variability was measured during the experiment. The LF/HF decreased under optimal conditions by 19% compared to the control conditions. Next, the effects of optimal conditions before sleep on the sleep quality were evaluated. Based on the index for the sleep quality (light sleep index), effect of the optimal environment conditions before sleep was not clearly observed for all subjects. Clustering analysis was evaluated to analyze the cause deeply. As a result, for the group of experiment subjects who did not feel nervous about the experiment, the light sleep index was decreased under optimal conditions by 29% compared to the control conditions. It was found that the effect on such stimuli could disappear in the subjects who were nervous about the experiment.
Life Cycle Assessment of Wastewater Treatment in a Refinery with Focus on the Desalting Process
Authors: Kouacou Koimbla Francine Josée , Ouattara Adama , Assémian Alain Stéphane , Yao Kouassi Benjamin
Published: January 2023

During refining operations, desalting wastewater provides 10-30% of the total wastewater volumes and contains 40-70% of the pollutants in the wastewater treatment unit. Desalting consists of removing impurities from the crude oil with washing water. The discharge of treated water into the receptor environment is controlled according to standards regulation. However, due to human health and environmental risks, a multi-criteria and multi-stage analysis must be carried out. This present study aims to identify critical sources of wastewater treatment impacts from desalting operations. Life cycle assessment (LCA) with LCIA methods namely Recipe, CML-IA, TRACI, and USETOX were used in Gabi Software. According to this study, fossil fuel-based, electricity generation is the major contributor to negative output flows with about 99%. Emissions of CO2, CO, NOx, SOx, and COV during electricity generation influence the global warming potential through the greenhouse effect, acidification potential that causes acid rains, and photochemical oxidation potential relative to smog. Uncertainty relative to toxicity results does not allow conclusive points to be made. The inclusion of the desalting process in LCA of wastewater treatment is relevant for a comprehensive analysis. The preliminary results obtained during this work will be used in future LCAs in Africa to develop an environmental assessment database.
Measurement of Tritium Activity Concentrations in Water Samples of Al-Amara City in Misan Province-Iraq, using Liquid Scintillation Counter
Authors: Al-Sudani Zahraa A. Ismail , Fleifil Sawsan S. , Mohammed Mazin
Published: January 2023

This research work aims to measure the concentration of tritium activity in the Tigris river and samples of tap water collected from different places of Al-Amara city in Misan province using a Tri-Carb 3110TR liquid scintillation counter (LSC) and to calculate an annual effective dose due to the ingestion of water samples. The mean values of the tritium activity concentrations measured in the water samples were 0.562 ± 0.126 Bq/L (4.763 ± 1.075TU) and 0.521 ± 0.060 Bq/L (4.422 ± 0.512TU) for Tigris River and tap water samples, respectively. The mean annual effective doses are given to the infants, children and adults because of the intake of the tritium were (252.95 ± 57.116) ×10–5 μSv/y and (234.81 ± 27.222) ×10–5 μSv/y, (354.13 ± 79.962) ×10–5 μSv/y and (328.734 ± 38.111) ×10–5 μSv/y, and (738.614 ± 166.778) ×10–5 μSv/y and (685.645 ± 79.489) ×10–5 μSv/y for Tigris river and tap water samples, respectively. The results indicated that the concentrations of tritium activity in measured water samples have been found below the limit of 100 Bq/L, which is the recommended measure by the European Commission for drinking water, and the recommended annual effective dose by the World Health Organization for the members of the public was much less than the individual dose criterion of 100 μSv/y. Hence, the waters of the Tigris river and tap in the study area (Al-Amara city) are not threatened to cause health risks because of tritium concentration.
Triple attention feature enhanced pyramid network for facial expression recognition
Authors: Fang Jian , Lin Xiaomei , Liu Weida , An Yi , Sun Haoran
Published: January 2023

The purpose of facial expression recognition is to capture facial expression features from static pictures or videos and to provide the most intuitive information about human emotion changes for artificial intelligence devices to use effectively for human-computer interaction. Among the factors, the excessive loss of locally valid information and the irreversible degradation trend of the information at different expression semantic scales with increasing network depth are the main challenges faced currently. To address such problems, an enhanced pyramidal network model combining with triple attention mechanisms is designed in this paper. Firstly, three attention mechanism modules, i.e. CBAM, SK, and SE, are embedded into the backbone network model in stages, and the key features are sensed by using spatial or channel information mining, which effectively reduces the effective information loss caused by the network depth. Then, the pyramid network is used as an extension of the backbone network to obtain the semantic information of expression features across scales. The recognition accuracy reaches 96.25% and 73.61% in the CK+ and Fer2013 expression change datasets, respectively. Furthermore, by comparing with other current advanced methods, it is shown that the proposed network architecture combining with the triple attention mechanism and multi-scale cross-information fusion can simultaneously maintain and improve the information mining ability and recognition accuracy of the facial expression recognition model.
Optimization of fuzzy K-objective fractional assignment problem using fuzzy programming model
Authors: Gomathi S.V. , Jayalakshmi M.
Published: January 2023

The assignment problem is one of the core combinatorial optimization problems in the optimization branch, and the theory and applications of fractional programming have made great strides in recent years. Usually, the possible coefficient values of linear fractional programming and real-world problems are frequently only known to the decision in vague or uncertain terms. Hence, it would be more acceptable to interpret the coefficients for as fuzzy numerical information. In this paper, a fuzzy bi-objective fractional assignment (FBOFAP) has been formulated. A problem has been defined. Here, triangular shapes are used to indicate the parameters. The fuzzy problem is turned into a typical crisp problem through α-cut using a fuzzy number and then the compromise solution is generated by fuzzy programming.
Dengue larvae detection and tracking using CNN and kalman filtering
Authors: Sandhu Muhammad Abdullah , Amin Asjad
Published: January 2023

During the last decade, dengue fever has emerged as a life-threatening disease. Dengue fever is caused by the bite of the dengue mosquito, and it spreads rapidly especially in the rainy season due to the availability of water carriers inside and outside the living vicinity. In this work, we propose an automated model for dengue larvae detection and tracking using Convolutional Neural Network (CNN) and Kalman filters. Despite substantial literature available on object tracking, no model has been proposed for dengue larvae. We started our work by collecting water areas and dengue larvae datasets as no public datasets were available. Our water areas dataset has 30 videos of different containers and environments. The dengue larvae dataset has 50 short videos of dengue larvae having different locations, backgrounds, and textures. In the first step, we used CNN to detect water areas, and the detected water area is then processed for the detection and tracking of larvae. Next, we propose a Kalman filter-based workflow for dengue larvae detection and tracking. A Gaussian Mixer Model with background subtraction is applied for foreground and object detection. Then we used Kalman filters to track the moving larvae in the experimental videos. The proposed model shows excellent results considering the small size of larvae and the challenging dataset. Subjective and objective experimental results clearly show the superior performance of the proposed model. The feedback received from the health authorities has been encouraging and the work is expected to facilitate the health department in eliminating the dengue.
Blind image deconvolution via an adaptive weighted TV regularization
Authors: Xu Chenguang , Zhang Chao , Ma Mingxi , Zhang Jun
Published: January 2023

Blind image deconvolution has attracted growing attention in image processing and computer vision. The total variation (TV) regularization can effectively preserve image edges. However, due to lack of self-adaptability, it does not perform very well on restoring images with complex structures. In this paper, we propose a new blind image deconvolution model using an adaptive weighted TV regularization. This model can better handle local features of image. Numerically, we design an effective alternating direction method of multipliers (ADMM) to solve this non-smooth model. Experimental results illustrate the superiority of the proposed method compared with other related blind deconvolution methods.
Applying the ICF codes, flag model and C-OAR-SE in the development of return-to-work assessment scale for stroke survivors
Authors: Ibikunle Peter O. , Rhoda Anthea , Smith Mario R. , Useh Ushotanefe
Published: January 2023

BACKGROUND: The Return-to-Work Assessment Scale (RAS) was developed in 2021 by Ibikunle et al. to assess return-to-work among post-stroke survivors. OBJECTIVE: The aim of this study was to describe how the conceptual (flag model and ICF) and theoretical framework (C-OAR-SE) were used in developing the RAS. METHOD: The development of the RAS consisted of three phases: (i) Initial item generation (ii) Face and content validity (iii) Psychometric testing. With each phase embracing the flag model, international classification of functioning, disability and health (ICF) and the C-OAR-SE an acronym for the six aspects of the theory: ‘C’ [construct definition], ‘OAR’ [object representation, attribute classification, and rater entity identification], and ‘SE’ [selection of item type and answer scale, as well as, enumeration]. RESULTS: A triangulated approach drawn on three separate theories and models. Phase one was developed by using the flag model which provided the semi-structured open ended questions that materialized into the draft instrument while phases two and three were developed using the ICF and the C-OAR-SE. The scale consists of two sections, A and B. Section A comprises general information about post-stroke survivors, which would not be scored, while section B includes three parts that are important to consider when deciding to return-to-work. CONCLUSION: An instrument called RAS was developed, an excellent, internally consistent, as well as reliable tool that has demonstrated good group and structural validity.
Examining psychosocial factors associated with receiving workplace accommodations among people with disabilities
Authors: Dong Shengli , Eto Olivia , Liu Lu , Villaquiran Alanis
Published: January 2023

BACKGROUND: People with disabilities experience challenges in obtaining workplace support including job accommodations. OBJECTIVE: This study examined the impacts of psychosocial factors affecting the likelihood of an employee with disability receiving an accommodation and subsequent effects on job satisfaction and job performance. METHODS: This study recruited 596 participants from multiple national and state agencies serving persons with disabilities in U.S. A mediation model was conducted to examine the impacts of psychosocial factors (i.e., self-efficacy, positive affect, negative affect, workplace support, Americans with Disabilities Act (ADA) knowledge, accommodation knowledge, and work goal) on receiving accommodation, and the impacts of receiving accommodations on job satisfaction and job performance. The indirect effects of the psychosocial factors on job satisfaction and job performance via receiving accommodations were examined using the Delta method. RESULTS: Among all the examined direct effects, only the effect from workplace support to receiving accommodations and the effect from receiving accommodations to job satisfaction were significant. Nevertheless, indirect effects were non-significant, indicating that all the psychosocial factors had no indirect effect (via receiving accommodation) on job satisfaction and job performance. CONCLUSION: The findings reveal the significance of workplace support on employees’ likelihood of receiving accommodations, and subsequent association between accommodation receipt and job satisfaction. Rehabilitation professionals need to provide adequate training to employers to facilitate inclusive and supportive workplace environments.
Correction of motion artifact in CL based on MAFusNet
Authors: Jia Tong , Shi Liu , Wei Cunfeng , Shi Rongjian , Liu Baodong
Published: January 2023

Computed laminography (CL) is one of the best methods for nondestructive testing of plate-like objects. If the object and the detector move continually while the scanning is being done, the data acquisition efficiency of CL will be significantly increased. However, the projection images will contain motion artifact as a result. A multi-angle fusion network (MAFusNet) is presented in order to correct the motion artifact of CL projection images considering the properties of CL projection images. The multi-angle fusion module significantly increases the ability of MAFusNet to deblur by using data from nearby projection images, and the feature fusion module lessens information loss brought on by data flow between the encoders. In contrast to conventional deblurring networks, the MAFusNet network employs synthetic datasets for training and performed well on realistic data, proving the network’s outstanding generalization. The multi-angle fusion-based network has a significant improvement in the correction effect of CL motion artifact through ablation study and comparison with existing classical deblurring networks, and the synthetic training dataset can also significantly lower the training cost, which can effectively improve the quality and efficiency of CL imaging in industrial nondestructive testing.
A population-based model for rationing COVID-19 vaccine
Authors: Cawthorpe David
Published: January 2023

BACKGROUND 
As COVID-19 vaccines develop, methods for identifying vulnerability within groups to prioritized vaccination remain un-established. This paper presents a novel approach based on population-based analysis of viral pneumonia vulnerability, as an example.

METHODS
The analysis employed an anonymous, 16-year, population dataset (n = 768,460) consisting of International Classification of Diseases (ICD-9) diagnoses, demographics, and dates identifying those with viral pneumonia and permitting linkage of these individuals to all their associated diagnoses for calculation of odds ratios and proportions of disorders before and after the index viral pneumonia diagnosis.

RESULTS
Females and males had results of differing magnitude. For those with viral pneumonia, the mean number of diagnoses was greater in both the subsample and whole sample, with associated diagnoses arising about 4 years on average before the viral pneumonia index diagnosis. Within the subsample, compared to those without, the temporal analysis revealed distinct over-representation for those with viral pneumonia at visit one and over the first fifty visits. Further, those with viral pneumonia had diagnoses not represented in the group without viral pneumonia. 

CONCLUSIONS
The population-based analysis of temporal hyper-morbidity may be a viable and economical approach to identifying viral pneumonia vulnerability. The approach presented in this paper may provide an economical means of identifying vulnerability to COVID-19 in regions where comparable data are available for analysis. Rational approaches may optimize vaccination and help to limit the spread of the disease and to some extent alleviate the health service burden.
Differences in Regional Productivity and Imbalance in Regional Growth
Authors: Javakhishvili-Larsen Nino , Zhang Jie
Published: January 2023

This paper focuses on the relationships between regional productivity and regional economic growth. Historical data show the difference in regional productivity in both geographical and sectoral dimensions. Using a modelling approach, the paper tests the regional spillover effects among three types of municipalities in two selected sectors. The results show that, firstly, there are different impacts on different types of regions; secondly, the spillover of impacts differ with respect to regional spillovers and sectoral spillovers; thirdly, the economic structure and the linkage between the regions also play a role in regional spillovers. Imbalanced growth between the regions is revealed.
UMMA KALADA SEBAGAI RUANG SAKRAL DAN MEDIA PENDIDIKAN MORAL SUKU KALINDAKANA WEELEWO KATODALOBO SUMBA BARAT DAYA MENURUT PEMIKIRAN MIRCEA ELIADE
Authors: Adon Mathias , Renda Martinus
Published: January 2023

This research focuses on exploring the meaning of umma kalada religiosity as a sacred space for the Kalindakana Weelewo Katodalobo Sumba Barat Daya tribe in the light of Mircea Eliade's thoughts. This study aims to make the concept of the umma kalada sacred space a moral education medium. This research was born from the author's awareness that umma kalada is not only a traditional house but also has high religious meaning and value so that it can direct the Kalindakana Weelewo Katodalobo tribe to achieve the fullness of life as civilized human beings in their relationships with others, nature and with the Holy One. This research used the interview and observation methods of the umma kalada, Kalindakana Weelewo Katodalobo, Southwest Sumba, NTT from 17-21 September 2021 as well as a literature study in the light of Mircea Eliade's thoughts. In other words, The concept of sacred space in Mircea Eliade's thought becomes a framework for understanding the concept of umma kalada religiosity. Therefore, exploring the concept of the sacred space of umma kalada in the light of Mircea Eliade's thoughts can help to understand the concept of religiosity of the Kalindakana Weelewo Katodalobo tribe and can be used as a medium for moral education. So this research emphasizes the importance of appreciating and exploring the religious traditions of ethnic groups because each religious tradition has beautiful character and wisdom values about how living together is regulated and preserved.
Preauricular Incision Approach as a Management of Zygomaticomaxillary Complex Fracture Reduction: A Case Report
Authors: Wibowo Ickman Setoaji , Adiantoro Seto , Marwansyah Eka , Maifara Dian
Published: January 2023

Introduction: A zygomatico maxillary complex fracture is a facial bone fracture that commonly occurs as a centrally and laterally protruding zygomatic area. The effective surgical approach and exact reduction of the displaced fracture is the most important task in the treatment of a zygomatic fracture, from the aesthetic point of view. Determination of surgical approach and the fixation point of zygomatic arch fracture is one of the most challenging procedure. The purpose of this case report is to find out that the preauricular incison approach is one of the effective methods for reduction of zygomaticomaxillary complex fracture.
Case Report: A 53 years old male patient presented with right zygomatico maxillary complex fractures. Diagnosis of right side tetrapod zygomatico maxillary complex fracture deformity was done by clinical examination and confirmed by computed tomography which included 3-D reconstruction view. The authors performed 4-point fixation using the preauricular approach to counter the disadvantages of the coronal approach. The results and usefulness of preauricular approach with 4-point fixation are reported in this study.
Conclusion: Preauricular incision is an effective surgical approach for the reduction of zygomatic arch fracture. 4-point fixation using the easier-to-manipulate preauricular approach would be more useful than the conventional method that uses the coronal approach. Satisfactory reduction that showed exact correction was observed. In an outpatient follow-up, no complication such as nonunion or malunion was found, and facial symmetry was also shown. In addition, the preauricular scar was hardly observed.
Keywords: zygomaticomaxillary complex fracture, preauricular incision, reduction, fixation
A Rare Case of Scar Edometriosis - Case Report
Authors: Sridhar Dr. L , Reddy K. Dr. Abhilash , Dhoorjati Dr. Bhaswanth , Phadnis Dr. Rohit
Published: January 2023

Background: Scar endometriosis is a rare condition seen in post LSCS or hysterectomy or obstetric procedure, where functional endometrial tissue is seen outside uterine cavity.

Case: A 34 year old female presented with cyclic pain during menstruation at the Pfannenstiel incision at the scar site, associated with 5 * 5 cm lump in the parietal abdominal plan. On clinical examination and investigations, preoperatively, it was suggestive of scar endometriosis. After excision, HPE confirmed to be scar endometriosis with 2 cm clear margins.

Discussion: Scar endometriosis is a very rare disorder whose incidence was reported to be 0.03–0.45%. Clinical suspicion of scar endometriosis is very important in the patients with chronic pain at scar site, which is usually missed and can often lead to longterm morbidity of the patients. With histopathological confirmation it becomes absolutely necessary to prove iatrogenic implantation theory which is well accepted.

Conclusion: Clinical suspicion of scar endometriosis depending on clinical presentation and history of previous obstetric procedure   is important for surgeons and excision of the lesion with good margins is the treatment of choice to prevent chronic morbidity in patients due to pain and recurrent surgery.
Dynamics of changes in milk productivity of brown Swiss cows of local breeding in the conditions of Armenia
Authors: Muradyan A. M. , Solovyova O. I. , Minasyan L. M. , Chitchyan Zh. T. , Ruzanova N. G.
Published: January 2023

Relevance. In the Republic of Armenia, the leading branch of animal husbandry is cattle breeding. More than 95 % of the milk and 60% of the meat are obtained from cattle breeding. In order to further develop cattle breeding in the republic within the framework of various state and commercial programs, since 2007, Holstein, Brown Swiss, Simmental and Jersey heifers have been imported from European countries. In this regard, the study of adaptive and productive qualities of not only imported, but also received from them animals of the first generation is relevant.   Methods. Experimental studies were carried out on the number of dairy cows in the leading livestock farm of OOO “Agroholding “Armenia”” near the city of Spitaka. The processing of the research results was carried out using the method of variation statistics. The article substantiates the age-related changes in the indicators of milk productivity of the daughters of the Brown Swiss breed of the first generation, obtained from mothers imported from Germany, at I; II and III lactation (2016–2021). The farm has a system of keeping cows year-round stall, with loose-box method of keeping. Cows are fed and milked twice a day. The study determined the milk yield, the fat and protein content in milk (monthly control milking), the live weight of cows (by weighing), the lactation coefficient and milk yield repeatability coefficients.   Results. According to the results of the research, Brown Swiss cows obtained from imported mother cows had sufficiently high indicators of milk productivity and live weight, which naturally increased with age. In cows, milk yield from I to III lactation was 6845; 7630 and 8450 kg, respectively, the fat and protein content in milk was 4.08; 4.03; 4.0 % and 3.2; 3.16; 3.12 %, live weight was 550; 595 and 630 kg, and the milk coefficient was 12.4; 12.8 and 13.4.
Perfil Clínico-Epidemiológico do Câncer Colorretal na Região Oeste do Paraná, Brasil, 2016-2018
Authors: Pucci Marcella Dellatorre , Dasenbrock Angela , Tanzawa Carolina Kosako , Santos Mauricio Bedim dos
Published: January 2023

Introdução: O câncer colorretal é a neoplasia mais frequente do trato gastrointestinal, sendo a segunda principal causa de morte por câncer no mundo. Objetivo: Traçar um perfil clínico-epidemiológico do câncer colorretal na Região Oeste do Paraná (Brasil), entre 2016 e 2018. Método: Estudo observacional analítico do tipo transversal, construído a partir da análise de resultados de exames anatomopatológicos, realizados entre 2016 a 2018. Realizaram-se análises por estatística descritiva, teste de associação qui-quadrado e U de Mann-Whitney. Adotou-se nível de significância de 5%. Resultados: A análise de 509 laudos positivos para câncer colorretal permitiu identificar o predomínio de pacientes do sexo masculino e a idade média de diagnóstico de 62 anos. A malignidade mostrou-se mais incidente na faixa etária de 61 a 70 anos (29,9%), e considerável número de casos ocorreu em pacientes abaixo de 50 anos (19,6%). Houve predomínio em cólon esquerdo e do tipo histológico adenocarcinoma infiltrativo moderadamente diferenciado. Verificou-se associação entre topografia da doença e sexo, com maior predominância do sexo feminino para tumores do cólon direito e do sexo masculino para tumores do cólon esquerdo (p=0,0081). Conclusão: A partir deste estudo, delineia-se um perfil clínico-epidemiológico do câncer colorretal na Região Oeste do Paraná, com maior incidência da doença em homens, sexagenários, além de predomínio de tumores em cólon esquerdo e do tipo adenocarcinoma infiltrativo moderadamente diferenciado. Tais achados são relevantes considerando a possibilidade de aplicação assertiva de protocolos internacionais de rastreio do câncer nessa população.
PENGARUH PENERAPAN METODE PEMBELAJARAN JARAK JAUH TERHADAP HASIL BELAJAR SISWA DI SD NEGERI 5 RANOMEETO, KAB. KONAWE SELATAN
Authors: Ilham Muhammad , Agus Imaludin , Kadir Sitti Fatimah , Nursagita Yuni
Published: January 2023

Distance learning, which is the only alternative to learning during the pandemic, is faced with various problems that arise in the field. This research was conducted to examine the portrait of distance learning at SD Negeri 5 Ranomeeto and to see the effect of the use of distance learning methods on student learning outcomes at the school. This study employed quantitative research with a survey approach. The total population was 40 students with a saturated sampling technique. Data on distance learning conditions at SDN 5 Ranomeeto were collected through interview and observation methods. Meanwhile, data on distance learning methods were collected using a questionnaire, and data on learning outcomes was obtained from students' daily test scores. Data analysis was carried out by means of qualitative descriptive analysis and inferential statistical analysis consisting of classical assumption test, while hypothesis testing used a simple linear regression test. The results of this study indicate that distance learning at SD Negeri 5 Ranomeeto utilizes the WhatsApp application. This learning provides a lot of time for students to take part in learning, but parents consider that the use of the WhatsApp application in distance learning is less effective and students quickly feel bored participating in learning. The distance learning method has a significant effect on student learning outcomes with the t-count value greater than the t-table value (8.818 > 2.024).
PENGEMBANGAN MODUL PEMBELAJARAN TEMATIK PENDEKATAN BUDAYA LOKAL BANTEN PADA SUB TEMA TUMBUHAN SAHABATKU
Authors: Nursobah Siti , Habudin Habudin , Mansur Mansur
Published: January 2023

This study aims to determine the development of a thematic learning module for the sub-theme of my friend plant with a local Banten culture approach to increase the knowledge of students in grade VI SD Negeri Karundang 1 Serang City. The type of research used is research development / R & D using the 4D model of S. Thiagarajan. 4D development has 4 stages, namely Define, Design, Develop, and Disseminate. The developed media was validated by material experts and media experts using an assessment rubric before conducting initial trials on students. Based on the assessment of material experts, that the product is very feasible for field trials with a score of 109 with a percentage of 87.2% (very feasible) and the assessment of media experts, that the product is very feasible for field trials with a score of 86 with a percentage of 86% (very worthy). The results of the development trial get the average number of students' knowledge of 76.6 (effective). Overall, the media for the My Friends Plants Sub-thematic Learning Module with a Banten Local Culture Approach to Increase Students' Knowledge in Grade VI SD Negeri Karundang 1 Serang City is very feasible and effective to be used as one of the learning media in teaching and learning activities in schools.
PENGEMBANGAN MEDIA KOMIK BRILIAN BERBASIS PEMBELAJARAN MULTILITERASI
Authors: Rizkiyani Nurafiah , Syachruroji Ahmad , Setiawan Sigit
Published: January 2023

Penelitian ini bertujuan untuk mengembangkan produk pembelajaran berupa Komik Brilian berbasis pembelajaran Multiliterasi kelas IV Sekolah Dasar. Tempat penelitian pengembangan ini di SD Negeri Kembangan utara 09.Adapun subjek dari penelitian ini adalah peserta didik kelas IV Sekolah Dasar. Model penelitian yang digunakan adalah model Penelitian dan Pengembangan (Research & Development) dari Sugiyono (2015). Sedangkan teknik pengumpulan data melalui wawancara, studi pendahuluan, pengumpulan angket, dan dokumentasi. Media Komik Brilian telah melewati tahap validasi dengan perolehan nilai presentase rata-rata dari tim ahli media sebesar 90,75% dengan kategori “Sangat Layak”, tim ahli materi sebesar 93% dengan kategori “Sangat Layak”, tim ahli bahasa sebesar 90,85% dengan kategori “Sangat Layak”. Pada uji coba terbatas kelas IV D diperoleh nilai presentase rata-rata respon siswa sebesar 96,7% dengan kategori “Sangat Baik”. Berdasarkan perolehan nilai tersebut, menunjukkan bahwa pengembangan media Komik Brilian berbasis Pembelajaran Multiliterasi dinyatakan layak untuk dikembangkan serta digunakan pada Peserta Didik kelas IV Sekolah Dasar dan dapat dipertanggungjawabkan secara keilmuan.
Analysis of Principal’s Leadership at Unesa Lab School
Authors: Nusantara Widya , Roesminingsih MV. , Widyaswari Monica
Published: January 2023

Principals have an essential role in realizing schools that excel, excel, and even. A school principal's ability is not only in carrying out his role as a leader and manager but also, more importantly, as a motivator, innovator, and supervisor, including the principal in the Unesa Lab School Environment. This study aims to analyze the performance of school principals in carrying out their functions as innovators, motivators, and supervisors. The research method uses descriptive quantitative. Research respondents included school principals and educators at Lab school Unesa  Junior High School (JHS) 1, Unesa Lab school JHS 2, and Unesa Lab school Unesa Lab school JHS 3. The analysis technique used percentages. The results of this study indicate that the principal's leadership is carried out optimally. The data shows that the principal of Unesa Lab school JHS 1 has a score of 4.31, Unesa Lab school JHS 2 has a score of 4.30, and Unesa Lab school JHS 3 has a score of 4.55. In general, the principal's leadership in carrying out the functions of innovator, motivator, and supervisor has been excellent, and this must be maintained and even improved. For this reason, the principal must have the ability to receive and provide information to subordinates and their environment. As innovators, Principals have tips for establishing a harmonious relationship with a new climate of ideas, and they must also be able to integrate every activity. In carrying out his function as a motivator, the principal must be able to encourage a strong will and will with enthusiasm and confidence for teachers, staff, and students in carrying out their respective duties. The principal's supervisory function can be seen in composing and implementing educational supervision programs and taking advantage of the results.