bluuebunny/crossref_metadata_2025 huggingface dataset:
A text image generation model based on deep learning
Authors: Wang Jing
Published: July 2023

The traditional text-image confrontation model utilizes a convolutional network in the discriminator to extract image features, yet this fails to involve the spatial relationship between underlying objects, resulting in a poor-quality generated image. To remedy this, a capsule network is proposed to improve the model. The convolutional network in the discriminator is replaced with a capsule network, thereby improving the robustness of the images. Through experiments on the Oxford-102 and CUB datasets, it has been found that the new model can effectively improve the quality of generated text-image. The FID value of the generated flower image decreased by 14.49%, and the FID value of the generated bird image decreased by 9.64%. Additionally, the Inception Score of images generated on the Oxford-102 and CUB datasets increased by 22.60% and 26.28%, respectively, indicating that the improved model generated richer and more meaningful image features.
Metaverse-oriented visual art quality enhancement strategies: a field architecture design and fuzzy assessment theory perspective
Authors: Xinyi Zhang
Published: July 2023

Visual art was originally measured by viewing and appreciating graphic works, and there was no previous research into ways to improve the quality of visual art. With the rapid development of visual arts and technology, the question of how to improve quality has become an urgent one. As the most cutting-edge and hottest concept in the international arena today, the development and application of metaverse technology has widely drawn the close attention of various industries, including management, economy, education, and art. However, there is no in-depth and clear research on the concept of metaverse in the field of art, especially in the field of visual art. We believe that the creation of visual art in the context of metaverse will be an important direction for art development in the future, and can also greatly contribute to the improvement of the quality of metaverse visual art presentation. Therefore, we focus on the issue of visual art quality assessment in our research, and propose a theory and method of metaverse-oriented future visual art quality assessment. The method focuses on the G1-entropy value method to calculate the weights in visual arts, combines qualitative research with quantitative research, and proposes the improvement path and countermeasures for visual arts. In summary, our research aims to address the theoretical approaches to the design of the metaverse field architecture and the assessment of art quality for the future introduction of the metaverse. The main contributions of our research are focused on the following three aspects: 1. The construction of the visual art field architecture draws on the functional requirements analysis method of system science simulation, considering that the entire visual art metaverse field architecture is constructed at three levels: the bottom data support layer, the middle technical support layer and the upper technical application layer. 2. The G1-entropy combination weighting method is used to derive the importance ranking of visual art quality indicators and identify key factors, and to derive suggestions for quality improvement based on the key indicator factors. More importantly, we also build a field architecture for future-oriented visual arts in this study, which bridges the gap in the structural design of visual arts after the introduction of the future concept. Our present study makes a great contribution to the application of visual art quality enhancement, focusing on the analysis of new concepts and the improvement of old methods, building a new scene of organic combination of new technologies and traditional visual art, with practical research theoretical support for the promotion and progress of the disciplinary field.
Data enhancement and multi-feature learning model for pest classification
Authors: Zhao Shulin , Sun Xiaoting , Gai Lingyun
Published: July 2023

Plant diseases and pests are primary factors that can negatively affect crop yield, quality, and profitability. Therefore, the accurate and automatic identification of pests is crucial for the agricultural industry. However, traditional methods of pest classification are limited, as they face difficulties in identifying pests with subtle differences and dealing with sample imbalances. To address these issues, we propose a pest classification model based on data enhancement and multi-feature learning. The model utilizes Mobile Inverted Residual Bottleneck Convolutional Block (MBConv) modules for multi-feature learning, enabling it to learn diverse and rich features of pests. To improve the model’s ability to capture fine-grained details and address sample imbalances, data enhancement techniques such as random mixing of pictures and mixing after region clipping are used to augment the training data. Our model demonstrated excellent performance not only on the large-scale pest classification IP102 dataset but also on smaller pest datasets.
Evaluation of critical factors for the successful implementation of the Internet of Things based on PFN-Best Worst Method
Authors: Li Eryang , Feng Xiangqian , Wei Cuiping
Published: July 2023

Internet of Things (IoT) technology now has a new purpose and relevance as a result of the digitalization wave. In this setting, businesses start to plan how they will use IoT technology. But some critical factors can prevent the successful deployment of IoT, and businesses must get beyond these critical factors if they want to do so. The literature review, system literature review, and Delphi technique are used to identify 15 critical factors. These critical factors are then divided into four categories: organization, technology, process, and environment. The PFN-weighted power harmonic operator is proposed with the aim of more effectively obtaining assessment data from experts and lessening the inaccuracy of outcomes caused by information loss. The best and worst method (BWM) is used to determine the ideal weight of critical factors. Results indicate that the primary critical factors to the effective adoption of the Internet of Things are talent, resource limitations, integration complexity, technical operations, equipment power consumption, technical dependability, and data governance. This research will benefit corporate managers in recognizing the significance of the effective deployment of the Internet of Things, identifying major critical factors to this achievement, and making decisions to remove these factors. Thus, an organization may support the effective adoption of the animal Internet of Things.
Fuzzy analytical network techniques for selecting suitable temporary refuge sites in Paez, Colombia
Authors: Segura Dorado Jhon , Anacona Mopan Yesid Ediver , Solis Pino Andrés Felipe , Paz Orozco Helmer
Published: July 2023

Colombia exhibits a considerable incidence rate of natural disasters because of its location within the intertropical zone, which exposes it to various meteorological and geological phenomena, including the Nevado del Huila volcano. The identification of suitable areas for the installation of temporary shelters is critical for managing these disasters. However, the task of identifying such locations is a complex problem that involves multiple criteria. This study uses a fuzzy systems approach to identify suitable sites for establishing temporary shelters in the Paez municipality during natural disasters, considering the essential criteria determined by experts through pairwise comparisons. The study results indicate that responsiveness is the most significant criterion, followed by area profile. Using these criteria, it identified a specific locality in the Paez municipality as suitable for establishing temporary shelters during natural disasters caused by volcanic phenomena. The findings were compared with those obtained from existing scientific literature and validated by experts in natural disasters. The methodological process described in this study provides a valuable tool for public entities to make informed decisions concerning natural disasters in indigenous territories caused by volcanic phenomena.
Risk assessment method for large-section tunnel using neutrosophic numbers similarity measure based on arcsine function
Authors: Liu Shaohua , Xia Caichu , Ye Jun
Published: July 2023

In large-section tunnel engineering, there is uncertain and inconsistent information in risk factors, due to complex geological, irregular hydrological conditions, limited survey technology, and inexperience of construction technicians. However, it is difficult for existing risk assessment methods to consider and express this uncertain information comprehensively, which will affect the accuracy of tunnel risk assessment. Hence, this paper develops a method of neutrosophic numbers similarity measure based on arcsine function to address the expression of uncertain information in the risk factors of large-section tunnel. The uncertain information in risk factors is considered comprehensively and the comprehensive weight of tunnel risk factors is calculated by the analytic hierarchy process and the entropy weight method in this method, in order to provide a reference for similar tunnels.
RETRACTED: Drilling rod target segmentation recognition based on an improved GAN
Authors: Luo Jiangnan , Cai Jinyu , Li Jianping , Gao Jiuhua , Zhou Feng , Chen Kailang , Liu Lei , Hao Mengda
Published: July 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Study on factors influencing coal emergency reserve center siting decision and countermeasures: evidence from China
Authors: Kai Wei
Published: July 2023

In this study, we focus on the analysis of factors influencing the siting decision of coal emergency reserve centers. Specifically, we first draw on the quality function deployment theory in marketing to logically integrate the ideas of this study. On this basis, we adopted an interdisciplinary fuzzy decision-making method, namely the G1-entropy method, to quantitatively evaluate the research of this paper. Thereafter, we constructed a three-level index system based on the characteristics of the coal emergency reserve site selection, and used the G1-entropy value method to calculate the weights of the indicators in the coal emergency reserve center siting decision index system and obtain the results. Our research findings have found that the three key indicators of coal conventional reserve, emergency coal transportation methods, and emergency response time play a crucial role in the decision-making of coal emergency reserve center location. Therefore, we propose specific countermeasures and suggestions for these three key indicators. Our study can provide support for the government to better select the location of emergency coal reserves, better improve the national energy layout, and provide support for relevant decision makers on how to better reserve coal. The location of the emergency coal reserve center can better play the role of strategic reserve to stabilize the market function, effectively respond to the impact of various events on the energy market, and can make corresponding suggestions to the construction of the national energy security reserve system.
Density peak clustering based on improved dung beetle optimization and mahalanobis metric
Authors: Zhang Hang , Liu Yongli , Chao Hao
Published: July 2023

The density peak clustering algorithm (DPC) quickly divides each cluster based on high-density peak points and shows better clustering performance. In order to address the issue that the local density is constrained by the preset cut-off distance in DPC and the Euclidean distance cannot capture the possible correlation between different features, a DPC algorithm based on improved dung beetle optimization (IDBO) and Mahalanobis metric is proposed, called IDBO-MDDPC. The IDBO algorithm enhances the ball dung beetle individual by incorporating nonlinear dynamic factors to increase the search and development capabilities of the algorithm and by incorporating an adaptive cosine wave inertial weight strategy to more precisely determine the optimal position of the thief dung beetle in order to improve the convergence speed and accuracy of the algorithm. The IDBO algorithm is simulated on eight benchmark functions, and the results demonstrate that it is superior to other comparison algorithms in terms of convergence speed and accuracy. In the DPC algorithm, the Mahalanobis metric is used to capture the correlation between features to improve clustering performance. The IDBO algorithm is integrated with the DPC algorithm, and the F-Measure evaluation index is used to design the objective function so that the optimal value of the cut-off distance can be automatically selected. In order to evaluate the efficiency of the algorithm, three sets of artificially synthesized datasets and five sets of UCI standard datasets were chosen for studies. Experimental results show that the IDBO-MDDPC algorithm can automatically determine a better cut-off distance value and ensure higher clustering accuracy.
Parkinson’s Progression Markers Initiative: A Milestone-Based Strategy to Monitor Parkinson’s Disease Progression
Authors: Brumm Michael C. , Siderowf Andrew , Simuni Tanya , Burghardt Elliot , Choi Seung Ho , Caspell-Garcia Chelsea , Chahine Lana M. , Mollenhauer Brit , Foroud Tatiana , Galasko Douglas , Merchant Kalpana , Arnedo Vanessa , Hutten Samantha J. , O’Grady Alyssa N. , Poston Kathleen L. , Tanner Caroline M. , Weintraub Daniel , Kieburtz Karl , Marek Kenneth , Coffey Christopher S. ,   on behalf of the Parkinson’s Progression Markers Initiative
Published: July 2023

Background:

Identifying a meaningful progression metric for Parkinson’s disease (PD) that reflects heterogeneity remains a challenge.

Objective:

To assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones.

Methods:

Using data from the Parkinson’s Progression Markers Initiative (PPMI) de novo PD cohort, we monitored 25 milestones across six domains (“walking and balance”; “motor complications”; “cognition”; “autonomic dysfunction”; “functional dependence”; “activities of daily living”). Milestones were intended to be severe enough to reflect meaningful disability. We assessed the proportion of participants reaching any milestone; evaluated which occurred most frequently; and conducted a time-to-first-event analysis exploring whether baseline characteristics were associated with progression.

Results:

Half of participants reached at least one milestone within five years. Milestones within the cognitive, functional dependence, and autonomic dysfunction domains were reached most often. Among participants who reached a milestone at an annual follow-up visit and remained active in the study, 82% continued to meet criteria for any milestone at one or more subsequent annual visits and 55% did so at the next annual visit. In multivariable analysis, baseline features predicting faster time to reaching a milestone included age ( p < 0.0001), greater MDS-UPDRS total scores ( p < 0.0001), higher GDS-15 depression scores ( p = 0.0341), lower dopamine transporter binding ( p = 0.0043), and lower CSF total α-synuclein levels ( p = 0.0030). Symptomatic treatment was not significantly associated with reaching a milestone ( p = 0.1639).

Conclusion:

Clinically relevant milestones occur frequently, even in early PD. Milestones were significantly associated with baseline clinical and biological markers, but not with symptomatic treatment. Further studies are necessary to validate these results, further assess the stability of milestones, and explore translating them into an outcome measure suitable for observational and therapeutic studies.
Autism – A brief update
Authors: Skjeldal Ola Hunsbeth , Isaksen Jørn
Published: July 2023

Autism is a group of neurodevelopmental disorders that involve definite impairments in social interactions, disturbance in language, and a stereotyped pattern of behaviour. These clinical features are described as the core symptoms. The condition represents a very large number of diseases and syndromes that are individually rare. Therefore, most people will refer to autism in the plural – autisms.

The prevalence of autism has increased incredibly in the last three decades. However, although the number of people diagnosed with autism has increased, this is not the same as saying that there is an increase in the number of cases of autism. Most likely, many children and adults 40–50 years ago had autistic behaviour that went under other diagnoses.

The cause of the autistic features has been thoroughly discussed for many years and has been the subject of many research activities. The dominant view today is that genetic and environmental factors mainly cause autism. In this article we want to give a brief status quo of the clinic, epidemiology and causes of autism.
Effect of Employees' Commitment on Customer Satisfaction of Banks in Africa
Authors: Lambert Edward , Deyganto Kanbiro Orkaido
Published: July 2023

This article was set out investigate influence of employees' commitment on customer satisfaction in African banks. Researchers mixed research method. Sample size of 310 was selected from the eleven largest commercial banks operating in Africa. The primary data have been collected through the structured questionnaire using Google forms. The ordered logistic regression model was employed to predict the effect of independent variables on the response variable which is customer satisfaction. The analysis of regression model was showed that affective employees’ commitment, continuance employees’ commitment, and normative employees’ commitment has a positive influence on customer satisfaction. The Africa banks should work straightforward to improve customer satisfaction by considering staff commitment as the seeping stone.
Decoding the Correlation Coefficient: A Window into Association, Fit, and Prediction in Linear Bivariate Relationships
Authors: Hosseini S A Hamed
Published: July 2023

This article examines the relationship between the correlation coefficient (r) and the regression slope in a linear bivariate relationship. The article emphasizes that the coefficient of determination should not be interpreted solely as a measure of fit, as it also signifies the association and prediction of change. The estimation of the percentage of variation in Y for a given change in X is explored, as well as the role of the correlation coefficient in prediction. The limitations of using r alone for prediction are discussed, and the importance of considering standard deviations is emphasized. The article concludes by suggesting further acknowledging the misuse and broader potential of correlation in understanding causality and predictability.
AKUNTANSI SOSIAL: DALAM PERSPEKTIF BELIS PERNIKAHAN MASYARAKAT MANGGARAI BARAT
Authors: Hilnicputro Wizaldy Fabiano
Published: July 2023

Problems related to accounting in an increasingly modern era today are of course also very many in relation to the series of management of these inputs, processes and outputs. When viewed more specifically in terms of accounting itself, it is actually not only about business matters. One of the problems that are rarely known together is the accounting treatment in terms of culture or customs. The buying process of the West Manggarai community basically does not have a clear and written standard of price rules and regulations, but the rules and price fixing are implied which have been going on for generations and are habitual. The main data collection technique in phenomenological studies is in-depth interviews with research subjects. The determination of belis prices in West Manggarai district is obtained through several stages such as the domain analysis stage, taxonomic analysis and component analysis that will be used to analyze the questions posed. This research proves that the price itself does not only have a final goal in the form of material or other things related to theories in accounting, especially the most important element in forming the price, but there are still many other important elements in determining it, one of which is culture. Price has a different meaning when viewed from various perspectives of the West Manggarai community, including the price as an appreciation, the price as a male and female family bond, and the price as a form of gratitude
Aplikasi Pemesanan Menu Makanan dan Minuman pada K&Y Coffee berbasis Android
Authors: Asfaroni Farid , Amalia Rahayu
Published: July 2023

Penelitian ini bertujuan untuk membuat aplikasi pemesanan menu makanan dan minuman pada K&Y Coffee berbasis android. Saat ini K&Y Coffee masih menggunakan cara manual sederhana dalam proses pemesanan menu. Dimana pihak kafe dan pelanggan masih menggunakan pena dan kertas sebagai media pemesanan. Cara tersebut masih belum efisien, dimana pelanggan masih menunggu dan mengantri untuk proses pemesanan serta pemilik kafe masih kesusahan dalam memonitoring pemesanan, mengeloa menu dan melihat laporan penjualan. Oleh karena itu penggunaan teknologi informasi akan sangat membantu dalam proses pemesanan. Dalam penelitian ini, metode yang digunakan adalah pemilihan jenis data, yaitu data primer yang diperoleh dari observasi, studi pustaka dan wawancara. Sedangkan metode yang digunakan dalam pembangunan sistem ini adalah metode Extreme Programming. Implementasi dari penelitian ini menggunakan Android Studio dengan bahasa pemrograman Java, Kotlin, PHP (Hypertext Preprocessor). Database yang digunakan adalah My SQL (My Structured Query Language) dan UML (Unified Modeling Language) sebagai alat untuk merancang sistem serta pengujian dari sistem ini menggunakan BlackBoxTesting. Hasil dari penelitian ini adalah sebuah sistem yang akan memudahkan pemilik kafe dalam mengelola menu dan melihat laporan penjualan serta memudahkan karyawan dan pelanggan dalam proses pemesanan menu.
Payment Tutoring System Reengineering Using Business Process Reengineering
Authors: Purwanto Hari Lugis , Pranata Kurriawan Budi
Published: July 2023

The payment system at the Smartindo Tutoring Institute. Although it has used a web-based system that is integrated with the academic system, the existing system has not been able to run properly. So, it is forced to make adjustments in the business processes of payment section. System changes are carried out using the BPR (Business Process Reengineering) method so that the system change process can be in accordance with the needs and is able to transform conventional systems into digital systems by reducing unnecessary steps. The aim of this research is to produce a new payment system based on process optimization using the BPR method. There are 4 stages of BPR that will be carried out in this research including identify processes, review update analyze as-is, design to-be, test & implement to-be. The results of these system changes resulted in a new system that showed a better level of throughput efficiency. The old system has been identified only has a throughput efficiency value of 48.39%. After analyzing and making changes to the process, the new system produces a better level of efficiency, reaching 100%. The results of better efficiency cannot be separated from the success in reducing the stages that are considered no longer needed in the workflow of the new payment system.
Pengembangan Sistem ERP Modul Inventory Management Pada Kantor Perwakilan PT. BGA Group
Authors: Prasetyaningrum Eka , Setyawan Benny
Published: July 2023

Memasuki era industry 4.0, perusahaan dituntut untuk dapat bertahan dengan segala macam resiko yang dihadapi. PT. Bumitama Gunajaya Agro Group merupakan salah satu perusahaan perkebunan dan pabrik kelapa sawit di Kalimantan Tengah. PT. BGA Group memiliki kantor perwakilan yang berada di Kota Sampit. Dalam pengelolaan inventory barang pada Kantor Perwakilan di PT. BGA Group telah terkomputerisasi tetapi belum terintegrasi dengan baik. Untuk pendataan permintaan barang dari kebun,  pendataan vendor,  barang masuk dan keluar,  serta pengiriman barang masih harus didata satu persatu kedalam Microsoft Excel. Oleh karena itu diperlukan adanya sebuah sistem yang dapat mempermudah karyawan dalam melakukan permintaan, pencatatan bahkan pencarian data yang dibutuhkan, sehingga ERP modul Inventory dapat menjadi sebuah solusi. Untuk metode pengembangan sistem menggunakan metode Agile dengan pengujian Black Box. Berdasarkan hasil pengujian maka dengan adanya sistem inventory dapat membuat pekerjaan menjadi lebih mudah dan mampu mempersingkat waktu dalam proses pengelolaan data perusahaan.
ТЕОРЕТИКО-ПРАВОВІ ПІДХОДИ ДО ВИЗНАЧЕННЯ ПОНЯТТЯ «ЮРИДИЧНИЙ МЕНЕДЖМЕНТ»: СТАН І ПЕРСПЕКТИВИ
Authors: Шевчук Лариса Миколаївна
Published: July 2023

Стаття присвячена теоретико-правовому дослідженню змісту поняття «юридичний менеджмент» з урахуванням якісно оновлених сучасних підходів до регулятивного й управлінського впливів на основні процеси людського буття. Наголошено на відсутності єдності у підходах науковців до змісту та визначення поняття «юридичний менеджмент». Констатовано, що вчені, як правило, аналізують різні напрями менеджменту, висвітлюють його роль та значення у тих чи інших сферах чи в діяльності окремих структур. Акцентовано увагу на необхідності розмежування понять «юридичний менеджмент» та «менеджмент юридичної практики / юридичної фірми». Аргументовано необхідність врахування при визначенні змістовного наповнення поняття «юридичний менеджмент» трьох основних форм реалізації норм права: дотримання, виконання та використання. Доведено, що формулювання визначення юридичного менеджменту з врахуванням тільки знання й дотримання управителями норм права необґрунтовано звужує зміст цієї категорії, не враховує відповідні положення теорії права та не узгоджується із реальною діяльністю суб’єктів у цій сфері. Запропоновано розглядати юридичний менеджмент як систему управлінських відносин та дій, які базуються не лише на знанні та дотриманні управителями норм права, але й на їх виконанні та використанні як ще двох (поряд із дотриманням) основних формах реалізації норм права. Зроблено висновок, що в сучасній науці, враховуючи якісно нові вимоги, які нині висуваються до організації та здійснення регулятивного й управлінського впливів на основні процеси людського буття, саме такий підхід дозволяє більш повно розкрити сутність юридичного менеджменту, його змістовне наповнення, а це, у свою чергу, сприятиме удосконаленню термінологічного визначення названого поняття й активізації подальших наукових досліджень у цьому напрямі.
ВИКОРИСТАННЯ ГРАНТОВИХ ІНСТРУМЕНТІВ ДЕРЖАВНОЇ ПРОГРАМИ ПІДТРИМКИ ПІДПРИЄМНИЦТВА ЄРОБОТА ДЛЯ ПОСИЛЕННЯ КОНКУРЕНТОСПРОМОЖНОСТІ БІЗНЕСУ НА ПРИКЛАДІ ММСП: ПЕРСПЕКТИВИ І ТРУДНОЩІ
Authors: Кобеля-Звір Мар’яна
Published: July 2023

У статті розглянуто основні можливості з підвищення конкурентоспроможності бізнесу, що виникають внаслідок залучення грантових інструментів державної програми підтримки підприємництва єРобота, яка розпочала свою дію в липні 2022 року. Окреслено основні переваги урядової грантової підтримки для відкриття власної справи та перспективи розвитку вже існуючого бізнесу. Розглянуто перспективи відкриття нового бізнесу на прикладах підприємців, які вже отримали грантове фінансування від державної програми єРобота на: придбання обладнання, меблів, закупівлю ліцензійного програмного забезпечення, свійських тварин та птиці, багаторічних насаджень, саджанців, посівного матеріалу, сировини, матеріалів, товарів та послуг, пов’язаних із реалізацією бізнес-плану, лізинг обладнання, послуги маркетингу та реклами, оренду нежитлового приміщення та обладнання. Продемонстровано історії успіху підприємств, які скористалися грантовою підтримкою урядової програми за напрямком «Власна справа» та «Новий рівень». Проаналізовано процес залучення грантових ресурсів представниками малого та середнього бізнесу України, визначено основні труднощі на шляху реалізації грантових проектів. Наголошено на основних причинах таких труднощів. Зокрема: не можливість розпочати вчасно заплановану проектну діяльність і, як наслідок, - підвищення цін на товари й послуги, а також необхідність здійснювати заміну контрагентів, виникнення непередбачуваних витрат під час реалізації грантового проекту та необхідність дофінансування з альтернативних джерел. Підсумовано, що історії грантоотримувачів демонструють підвищення конкурентоспроможності бізнесу в різних сферах: роздрібній та оптовій торгівлі, виробничій та переробній сфері, сфері послуг. Попри ряд труднощів, які виникають у процесі реалізації грантових проектів, підприємцям вдається суттєво покращувати свої бізнес-процеси, зберігати та створювати нові робочі місця, виходити на новий рівень прибутковості, що можна вважати одним із суб’єктивних індикаторів досягнення позитивного ефекту від процесу залучення державних грантів.
КУЛЬТУРНІ ДЕТЕРМІНАНТИ ЕВОЛЮЦІЇ ГАСТРОНОМІЧНИХ СПЕЦІАЛІТЕТІВ: ДО ПИТАННЯ ФОРМУВАННЯ ГАСТРОНОМІЧНОГО БРЕНДУ ПОДІЛЛЯ
Authors: Церклевич В.С. , Онищук М.І. , Шпаковський С.М.
Published: July 2023

Статтю присвячено розгляду культурних детермінант еволюції гастрономічних спеціалітетів Поділля – базової складової гастрономічного бренду туристичної дестинації. Представлено анотований огляд праць українських та зарубіжних вчених, що становлять науково-методичний, культурологічний базис гастрономічних практик. Обґрунтовано виняткову роль культури як засадничої складової розвитку гастрономічного туризму, функцію їжі як національного ідентифікатора, гастрономічну культуру як значиму складову національної культури. Схарактеризовано трендовість гастрономічного туризму, центральним компонентом якого є гастрономічні спеціалітети, як результат суперечностей між: глобалізацією та пошуком автентичності, їжею як об’єктом раціонального споживання і культурною функцією їжі як ідентифікатора національної ідентичності. Керуючись авторськими визначеннями дефініцій “гастрономічний спеціалітет” та “новий гастрономічний спеціалітет”, представлено локальні досвіди створення нових гастрономічних спеціалітетів у межах Подільського регіону (Вінницька, Хмельницька області). Продемонстровано досвід створення концепції гастрономічного спеціалітету-продукту (вишня) закладами ресторанного бізнесу в контексті формування гастрономічного бренду туристичної дестинації (Вінниця). Описано процес створення нових гастрономічних спеціалітетів-страв (зокрема, журеку з зіньківською ковбасою) як інструменту просування гастрономічного туризму в ресторані ніші “local food” (на прикладі закладу ресторанного господарства “Ресторація Шпігеля”, Хмельницький). Схарактеризовано інгредієнти та ключові ідеї створення нових гастрономічних спеціалітетів фахівцями “Ресторації Шпігеля” на основі таких традиційних страв, як журек, борщ, вареники, хліб. Представлено окремі результати пілотного дослідження історико-культурних детермінант еволюції подільських гастрономічних спеціалітетів у категоріях: 1. “страва” (зіньківська “чорна” ковбаса); 2. “продукт” (хрін) за параметрами: світові гастрономічні традиції; етично-релігійні імперативи; історико-культурний генезис та сучасність. Стаття підготовлена з використанням матеріалів, присвячених культурній складовій гастрономічної спадщини Речі Посполитої, напрацьованих для інформаційного порталу “Culture.pl” (видання Інституту Адама Міцкевича (Варшава, Польща) та в співпраці з Хмельницьким обласним науково-методичним центром культури і мистецтва (Хмельницький, Україна).
МОТИВАЦІЯ ПЕРСОНАЛУ ПІДПРИЄМСТВ В УМОВАХ СУЧАСНИХ ВИКЛИКІВ
Authors: Прохоровська С.А.
Published: July 2023

Запорукою успішного функціонування підприємств, посилення їх конкурентоспроможності на ринку є мотивований персонал. Система мотивації повинна зацікавлювати керівників підприємств та стимулювати працівників до постійного розвитку. Впровадження нових та нестандартних підходів до мотивації персоналу дозволяє залучити нових висококваліфікованих фахівців та значно підвищити лояльність штатних працівників. Встановлено, що найефективнішою є така система мотивації персоналу, що поєднує в собі матеріальну та нематеріальну мотивацію, а також штрафи і покарання. Для розвитку системи мотивації персоналу необхідно розробляти довгострокові програми щодо: формування сучасної культури та іміджу компанії; соціальні програми для працівників та їх сімей; створення ефективних стимулів для високопродуктивної праці; розробки та створення спеціальних систем управління мотивацією праці.
PROBLEMS OF DIGITALIZATION OF THE ECONOMY AND THE USE OF DIGITAL PLATFORMS: PRACTICAL ASPECTS AND RECOMMENDATIONS
Authors:   Dnipropetrovsk State University of Internal Affairs, Fisunenko Nadiia
Published: July 2023

The study is devoted to the issues of globalization shifts, transformational processes, the development of modern scientific economic thought and the progressivity of changes, the issue of solving the problem of digitalization of the economy of the countries of the world, taking into account the potential use of modern digital platforms and systems at various stages of management decision-making, to ensure a high level of competitiveness of the country's economy remains urgent one of the fundamental ones in modern practice. The article provides a deep and detailed analysis of the current state of digital transformation in the countries of the world. The main aspects of the digitalization of the economy of the countries of the world in the conditions of rapid changes in the influence of European integration processes are revealed from the standpoint of practical experience. A comprehensive analysis of the available indicators of the digitalization of the economy was conducted based on the research materials of foreign and domestic scientists, which are revealed through three relevant components: «Global Index of Electronic Government Development», «Index of Network Readiness» and «Index of Development of Information and Communication Technologies». The synergistic combination of the specified constituent elements creates prerequisites for the progressive potential development and formation of the digital economy, ensuring the use of digital platforms of various levels and models, making quick balanced strategic management decisions by company management. The main directions of the development of the digital economy of the countries of the world are considered and highlighted, the main principles of digitalization of the country's economy are determined (taking into account the transformational economic shifts in the economies of the countries of the world. The positive aspects of the development of the digital economy are proposed and characterized, which create prerequisites for the formation of a progressive long-term strategic plan for the economic development of the country with the aim of ensuring a high level of its competitiveness and achieving growth in economic indicators.
An Advanced Statistical Method for Point Process Modelling With Missing Event Histories
Authors: Lin Peiyuan , Yuan Xianxun (Arnold)
Published: July 2023

Researchers are always challenged in developing history-dependent point process models for recurrence events such as system failures when the early event history is missing. The raison d’être in most cases is the estimation of model parameters. Even for simple renewal point processes, the model estimation is difficult since the distribution of backward recurrence time is not explicitly given, except for the limiting distribution case. To fill the gap, this article establishes an effective statistical method for parameter estimation for history-dependent point process models with partial missing history. The proposed method addresses the missing history issue through a data augmentation (DA) technique integrated with a Markov Chain Monte Carlo (MCMC) simulation technique. The key novelty is the creation of an acceptance/rejection criterion to assure the validity of the augmented missing history. Next, the augmented and observed histories are combined to form a ‘complete’ history which is in turn used for model estimation. The estimated parameters are then used to generate new missing history. An iterative procedure is implemented to warrant stationary distributions for the estimates after burn-in. The validity and efficiency of the proposed method are demonstrated using two simulation studies and one real-life case study of modelling municipal water pipe failures from different model estimation perspectives.
Progression of Decomposed Local-Effect Action Theories
Authors: Soutchanski Mikhail
Published: July 2023

In many tasks related to reasoning about consequences of a logical theory, it is desirable to decompose the theory into a number of weakly related or independent components. However, a theory may represent knowledge that is subject to change, as a result of executing actions that have effects on some of the initial properties mentioned in the theory. Having once computed a decomposition of a theory, it is advantageous to know whether a decomposition has to be computed again in the newly changed theory (obtained from taking into account changes resulting from execution of an action). In this article, we address this problem in the scope of the situation calculus, where a change of an initial theory is related to the notion of progression. Progression provides a form of forward reasoning; it relies on forgetting values of those properties, which are subject to change, and computing new values for them. We consider decomposability and inseparability, two component properties known from the literature, and contribute by studying the conditions (1) when these properties are preserved and (2) when they are lost wrt progression and the related operation of forgetting. To show the latter, we demonstrate the boundaries using a number of negative examples. To show the former, we identify cases when these properties are preserved under forgetting and progression of initial theories in local-effect basic action theories of the situation calculus. Our article contributes to bridging two different communities in knowledge representation, namely, research on modularity and research on reasoning about actions. 
TAX AVOIDANCE PADA PERUSAHAAN SEKTOR PERTAMBANGAN DI INDONESIA.
Authors: Dayani Luluk , Suryandari Dhini
Published: July 2023

Penelitian ini bertujuan untuk melakukan pengujian secara empiris pengaruh Corporate Social Responsibility (CSR), leverage, dan profitabilitas terhadap tax avoidance. Populasi yang digunakan pada penelitian ini adalah perusahaan sektor pertambangan yang terdaftar di Bursa Efek Indonesia (BEI) selama tahun 2016-2020. Pengambilan sampel menggunakan teknik purposive sampling sehingga menghasilkan jumlah sampel sebanyak 10 perusahaan dengan total unit analisis sebanyak 50. Teknik pengumpulan data dalam penelitian ini menggunakan teknik dokumentasi. Data yang diperoleh bersumber dari www.idx.co.id atau website resmi masing-masing sampel perusahaan. Analisis data menggunakan regresi linier berganda dengan program komputer Microsoft Excel dan SPSS versi 24. Hasil penelitian ini membuktikan CSR tidak berpengaruh terhadap tax avoidance, leverage berpengaruh negatif siginifikan terhadap tax avoidance, sedangkan profitabilitas berpengaruh positif signifikan terhadap tax avoidance. Berdasarkan hasil penelitian dapat disimpulkan bahwa tax avoidance dapat dipengaruhi oleh leverage dan profitabilitas.

Kata Kunci: Corporate Social Responsibility (CSR), Profitabilitas, Leverage, Tax Avoidance.
منهج الإمام جمال الدين الصفدي في توظيف الدخيل من خلال تفسيره "كشف الأسرار وهتك الأستار": دراسة تحليلية نقدية
Authors: Mohammed Salmeen Abdullah Bin Snh  , Abdelali Bey Zekkoub  , Yousef Mohammed Abdo
Published: July 2023

One of the most significant books of interpretation that warrants thorough study is "Revealing Secrets and Breaking the Curtains." This is because Imam al-Safadi's approach is distinguished by his acceptance of reason and transmission as two fundamental guides in religion. Despite his belief that the Torah and the Bible have been distorted, he delves into them, underscoring the urgency of studying his approach. The research aims to elucidate al-Safadi's methodology in introducing the concept of intrusion in his interpretation through "Uncovering Secrets and Breaking the Curtains." Furthermore, it seeks to highlight the key advantages and disadvantages of dealing with intrusion in interpretation. The study employs both an inductive analytical method and a deductive approach, leading to several noteworthy findings. Imam Safadi's interpretation holds a prominent position among the most important works of interpretation. It is characterized by an abundance of scholarly material, encompassing a vast array of benefits consolidated within one book. Notably, Imam al-Safadi demonstrates keen interest in the Israelites, referring to them extensively, and incorporates numerous texts from the Torah and the Gospels. However, there is a relative scarcity of narrations from the Prophet, as well as from the Salaf, including the Companions and the Followers. It is strongly recommended that students and researchers pay attention to the importance of this topic. They should embark on preparatory research that examines the chapters and verses of the Noble Qur'an. By conducting rigorous investigations and actively disseminating their findings among Muslims, the society can benefit and advance. Emphasizing the significance of Imam al-Safadi's interpretation is crucial due to its wealth of substantial benefits and its scholarly distinction.
من جهود المرأة في تفسير القرآن في العصر الحديث
Authors: Afaf Abdul Ghafoor Hameed  , Lukman bin Mat Sin Muhammad
Published: July 2023

In the modern era, several women have made significant contributions to the interpretation of chapters of the Holy Quran. Prominent among them are Bint a Shati', Zainab Alghazali, and Hannan Lahham. A notable milestone was reached in the late nineties with the publication of "Al-Mubsur Linoor Al-Quran" (Sightings of the Light of Al-Quran) by Naa'la Sabree, providing a comprehensive interpretation of all the chapters of the Holy Quran. Recently, two other interpretations by women have been published, namely "Tayseer Al-Tafseer" (Facilitating the Interpretation) by Fawqyyah Alsharbeeni and "Al-Lu'lu' Wa Al-Marjan Fi Tafseer Al-Quran" (Pearls and Corals in the Interpretation of Al-Quran) by preacher Kareeman Hamza. These interpretations form the core focus of this research. The first part of this research includes a brief introduction to the life of the interpreter Fawqqyah, a justification for her writing the book, a description of the book itself, followed by references and the attributes of her interpretation. The second chapter centers around the second interpreter, Kareeman, and follows the same approach as the first chapter. Both interpretations showcase the capacity of women to engage in scholarly research in Islamic Studies and their ability to author comprehensive interpretations of the Holy Quran, a domain that was previously exclusive to men. These interpretations remain aligned with the original interpretations while adapting to the needs of the contemporary era, aiming to guide and promote integrity within the Islamic community. Fawqyyah's interpretation stands out for its concise and precise title, offering ease and clarity to readers. On the other hand, Kareeman's book excels in its literary style of Dawah or preaching, utilizing the necessary resources of interpretations. It provides explicit details on scientific miracles, draws comparisons between the Quran and other sacred books, and presents engaging narratives. We hope that these two interpretations mark the beginning of further fruitful efforts that guide the new generation in their contemporary age, fostering a deeper understanding of the Holy Quran and its timeless wisdom.
Overview of Asymmetric Warfare Strategy and International Relations in the Syrian War 2011
Authors: Wibowo Haryanto
Published: July 2023

This article focuses on analyzing the Asymmetric War carried out by the parties involved in the Syrian War. The actors analyzed were the state, the opposition, and the pro-revolutionary parties. With a qualitative approach, this study emphasizes content analysis methods. The framework of this research departs from the conflict in Syria which can be analyzed by the theory of Asymmetric Warfare by Rod Thornton and the theory of International Relations. The research results show that the conflict in Syria is part of Asymmetric Warfare, i.e. the support of military forces by foreign countries in the Syrian War conflict is urgently needed by each side (pro-revolutionary and pro-regime). In addition, viewed from international relations was a continuation of the Cold War launched by a great power country between Russia and the United States. It is therefore essential to undertake a thorough investigation of the current evolution of Modern War, particularly Asymmetric War.
Cyberwarfare between the United States and China 2014 -2022: in Retrospect
Authors: Ardita Nadia Dian , Prakoso Septyanto Galan , Putra Ferdian Ahya Al , Sulistiobudi Arif , Satria Randhi
Published: July 2023

The development of security in the context of international politics and international relations has developed from time to time. Nowadays, the practice of security done by a country's government can be imbued with the advancement of technological innovation, dubbed cyber-influenced. Hence the term cyber-security is often used to indicate the association of information technology with security. The United States and China, as two competing big-power countries, also actively utilize cyber-security over the years. This article will describe the cyberwarfare between The United States and China, focusing from 2014 until 2022. A qualitative descriptive method is used, complemented by cyber security and state sovereignty concepts to analyze the case. Results indicate that both countries are involved in cyberwarfare based on defensive reasoning. The fact that both countries are referred to as great powers in international politics also complicates the case, as they have a high-tension nature of the relationship.
The Role of the Yogyakarta Community Early Warning Forum in Supporting the National Defense
Authors: Kusumaningtyas Daru Putri , Isnaini Firda Nur
Published: July 2023

This study aims to explain the role of the Yogyakarta City Government in forming the Community Early Warning Forum (Forum Kewaspadaan Dini Masyarakat or FKDM) in supporting the national defense. The city of Yogyakarta currently has various problems that, if not detected early on, will threaten Indonesia. To anticipate existing threats, the Yogyakarta City Government established the FKDM. The formation of FKDM in Yogyakarta is by the policies, strategies, and development of national defense capabilities listed in the Defense White Paper. So, FKDM plays an important role in supporting national defense and preventing threats. This study uses a qualitative method. The results of the study found that Yogyakarta City's FKDM has played a role in supporting national defense, namely by carrying out early vigilance even though in carrying out its role Yogyakarta City's FKDM has not been maximized because of its capabilities and capacity. Members of FKDM and classification of threats in a report format that is not by the non-military threats listed in the national defense posture book. Because Yogyakarta City FKDM has not been optimal in carrying out its role, it is necessary to classify the types of threats according to the national defense posture book; retraining members of Yogyakarta City FKDM as well as sub-district FKDM and village FKDM in Yogyakarta City regarding the forms of threats; to maximize the use of the Lapak Deni application, it is necessary to consider age when recruiting FKDM members; as well as the need for additional personnel from the teaching staff by the Regulation of the Minister of Home Affairs of the Republic of Indonesia Number 46 of 2019 concerning Amendments to Minister of Home Affairs Regulation Number 2 of 2018 concerning Early Alertness in the Regions, article 16 paragraph (3).