bluuebunny/crossref_metadata_2025 huggingface dataset:
Forex market directional trends forecasting with Bidirectional-LSTM and enhanced DeepSense network using all member-based optimizer
Authors: Dash Swaty , Sahu Pradip Kumar , Mishra Debahuti
Published: September 2023

This study focuses on successful Forex trading by emphasizing the importance of identifying market trends and utilizing trend analysis for informed decision-making. The authors collected low-correlated currency pair datasets to mitigate multicollinearity risk. Authors developed a two-stage predictive model that combines regression and classification tasks, using the predicted closing price to determine entry and exit points. The model incorporates Bi-directional long short-term memory (Bi-LSTM) for improved price forecasting and higher highs and lower lows (HHs-HLs and LHs-LLs) to identify trend changes. They proposed an enhanced DeepSense network (DSN) with all member-based optimization (AMBO-DSN) to optimize decision variables of DSN. The performance of the models was compared to various machine learning, deep learning, and statistical approaches including support vector regressor (SVR), artificial neural network (ANN), auto-regressive integrated moving average (ARIMA), vanilla-LSTM (V-LSTM), and recurrent neural network (RNN). The optimized form of DSN using genetic algorithm (GA), particle swarm optimization (PSO), and differential evolution (DE) was compared with AMBO-DSN, yielding satisfactory results that demonstrated comparable quality to the observed trends on the original currency pairs. The effectiveness and reliability of the AMBO-DSN approach in forecasting trends for USD/EUR, AUD/JPY, and CHF/INR currency pairs were validated through statistical analysis while considering computational cost.
Evolutionary meta-heuristic optimized model: An application to plant disease diagnosis
Authors: Rubia J Jency , Lincy R Babitha
Published: September 2023

Deep learning strategies have been achieved over the historical decades to resolve many computer vision applications. Recently, these deep learning algorithms have been extensively used as a tool in classification problems. Generally, the deep learning algorithms trained with gradient-based optimizers, which has some downsides such as the slow speed of convergence and stuck in local minima. As a solution, the planned work using meta-heuristic based Grey Wolf and Whales optimization algorithms for the automatic plant disease detection model. The planned work has explored the application of automatic plant disease identification through the leaf images with the help of the image processing approach. The planned research has evaluated the deep learning algorithm with Grey Wolf and Whales optimization techniques using the three types of datasets, such as Plant Village, New Plant Disease, and Rice Leaf Disease databases. The simulation consequences illustrate that the computational efficiency of the Grey Wolf and Whales based automatic disease identification process is boosted when coupled with the deep learning method.
RETRACTED: A new QoS-aware service composition technique in cloud computing using capuchin search algorithm
Authors: Wang Ming
Published: September 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
A consumer-oriented kansei evaluation model through online product reviews
Authors: Ren Zenggen , Guo Fu , Hu Mingcai , Qu Qingxing , Li Fengxiang
Published: September 2023

Generating kansei profiles for products represent fundamental aspects of kansei engineering (KE). Conventionally, the semantic differential (SD) method has been extensively employed to construct product kansei profiles, aiming to delve into consumers’ perceptions of products. However, this approach is associated with significant time consumption and inefficiency. In light of this, we introduce an innovative kansei evaluation approach that incorporates consumers’ kansei preferences, thereby enhancing the efficiency of the evaluation process. This approach comprises three integral modules: Firstly, the generation of product kansei profiles and the construction of a kansei database for decision alternatives are achieved through the analysis of online reviews. Subsequently, the kansei data is adjusted based on consumers’ kansei preferences. Finally, the rank correlation analysis (RCA) is conducted to establish the prioritization of decision alternatives. Notably, this method facilitates the ranking of products in accordance with consumers’ kansei preferences, thereby assisting consumers in navigating through an array of functionally similar products to identify their preferred choices. A comprehensive case study illustrates the implementation procedure and validates the practicality of our proposed method.
Enhanced TODIM method based on VIKOR for interval neutrosophic MAGDM and applications to brand competitiveness evaluation of manufacturing enterprises
Authors: Sun Peixi , Wang Yixuan , Song Jaehoon
Published: September 2023

A brand is an enterprise’s market image and huge intangible assets. A brand is an enterprise’s market image and huge intangible assets, and it is also a comprehensive embodiment of an enterprise’s core competitiveness. Therefore, continuous improvement of brand competitiveness undoubtedly has far-reaching significance for manufacturing enterprises. Using the brand competitiveness evaluation index system and selected evaluation methods of manufacturing enterprises constructed in this article, the brand competitiveness evaluation index system and selected evaluation methods can not only study the overall brand competitiveness of the participating enterprises, but also understand the advantages and disadvantages of the brand competitiveness of the participating enterprises from different perspectives, To help and guide manufacturing enterprises to strengthen brand building in a targeted manner and continuously improve the brand competitiveness of manufacturing enterprises. The brand competitiveness evaluation of manufacturing enterprises is a classical MAGDM problems. Recently, the TODIM and VIKOR method has been used to cope with MAGDM issues. The interval neutrosophic sets (INSs) are used as a tool for characterizing uncertain information during the brand competitiveness evaluation of manufacturing enterprises. In this manuscript, the interval neutrosophic number TODIM-VIKOR (INN-TODIM-VIKOR) method is built to solve the MAGDM under INSs. In the end, a numerical case study for brand competitiveness evaluation of manufacturing enterprises is given to validate the proposed method.
Intelligent pressure switching control method for air compressor group control based on multi-agent reinforcement learning
Authors: Chen Rong , Lan Furong , Wang Jianhua
Published: September 2023

In order to effectively control the pressure and energy consumption of multiple air compressors within an acceptable range, an intelligent pressure switching control method for air compressor group control based on multi-agent RL is studied. This method uses sensors in the air compressor field control cabinet to collect data such as header pressure, air storage tank pressure, and air storage tank temperature and sends them to the edge data collector for integration. After integration, the main control cabinet sends them to the upper computer. Combined with the on-site collected data, a multi-agent-based air compressor group control model is designed to convert multiple air compressors in the air compressor group control problem into a multi-agent mode, facilitating unified switching control of the air compressor group. Then, using the intelligent pressure switching control method based on deep Q-learning, driven by a neural network controller, the frequency of the frequency converter is adjusted to control the pressure at the outlet of the air compressor terminal header within the set value range, completing the pressure intelligent switching control. After testing, this method has good application results in pressure control, energy saving, and other aspects after being used for intelligent pressure switching control of air compressor group control.
Imbalanced data classification using improved synthetic minority over-sampling technique
Authors: Anusha Yamijala , Visalakshi R. , Srinivas Konda
Published: September 2023

In data mining, deep learning and machine learning models face class imbalance problems, which result in a lower detection rate for minority class samples. An improved Synthetic Minority Over-sampling Technique (SMOTE) is introduced for effective imbalanced data classification. After collecting the raw data from PIMA, Yeast, E.coli, and Breast cancer Wisconsin databases, the pre-processing is performed using min-max normalization, cleaning, integration, and data transformation techniques to achieve data with better uniqueness, consistency, completeness and validity. An improved SMOTE algorithm is applied to the pre-processed data for proper data distribution, and then the properly distributed data is fed to the machine learning classifiers: Support Vector Machine (SVM), Random Forest, and Decision Tree for data classification. Experimental examination confirmed that the improved SMOTE algorithm with random forest attained significant classification results with Area under Curve (AUC) of 94.30%, 91%, 96.40%, and 99.40% on the PIMA, Yeast, E.coli, and Breast cancer Wisconsin databases.
Deep embedded clustering with matrix factorization based user rating prediction for collaborative recommendation
Authors: Nalavade Jagannath E. , Kolli Chandra Sekhar , Kumar Sanjay Nakharu Prasad
Published: September 2023

Conventional recommendation techniques utilize various methods to compute the similarity among products and customers in order to identify the customer preferences. However, such conventional similarity computation techniques may produce incomplete information influenced by similarity measures in customers’ preferences, which leads to poor accuracy on recommendation. Hence, this paper introduced the novel and effective recommendation technique, namely Deep Embedded Clustering with matrix factorization (DEC with matrix factorization) for the collaborative recommendation. This approach creates the agglomerative matrix for the recommendation using the review data. The customer series matrix, customer series binary matrix, product series matrix, and product series binary matrix make up the agglomerative matrix. The product grouping is carried out to group the similar products using DEC for retrieving the optimal product. Moreover, the bi-level matching generates the best group customer sequence in which the relevant customers are retrieved using tversky index and angular distance. Also, the final product suggestion is made using matrix factorization, with the goal of recommending to clients the product with the highest rating. Also, according to the experimental results, the developed DEC with the matrix factorization approach produced better results with respect to f-measure values of 0.902, precision values of 0.896, and recall values of 0.908, respectively.
Skin cancer detection: Improved deep belief network with optimal feature selection
Authors: Sainudeen Jinu P. , V Ceronmani Sharmila , R Parvathi
Published: September 2023

During the past few decades, melanoma has grown increasingly prevalent, and timely identification is crucial for lowering the mortality rates linked to this kind of skin cancer. Because of this, having access to an automated, trustworthy system that can identify the existence of melanoma may be very helpful in the field of medical diagnostics. Because of this, we have introduced a revolutionary, five-stage method for detecting skin cancer. The input images are processed utilizing histogram equalization as well as Gaussian filtering techniques during the initial pre-processing stage. An Improved Balanced Iterative Reducing as well as Clustering utilizing Hierarchies (I-BIRCH) is proposed to provide better image segmentation by efficiently allotting the labels to the pixels. From those segmented images, features such as Improved Local Vector Pattern, local ternary pattern, and Grey level co-occurrence matrix as well as the local gradient patterns will be retrieved in the third stage. We proposed an Arithmetic Operated Honey Badger Algorithm (AOHBA) to choose the best features from the retrieved characteristics, which lowered the computational expense as well as training time. In order to demonstrate the effectiveness of our proposed skin cancer detection strategy, the categorization is done using an improved Deep Belief Network (DBN) with respect to those chosen features. The performance assessment findings are then matched with existing methodologies.
Is it feasible to avoid suction before spontaneous breathing is established?
Authors: Nesterenko T.H. , Pocevic S. , Elgendy M. , Mohamed M.A. , Aly H.
Published: September 2023

BACKGROUND: Suctioning of the posterior pharynx immediately after birth during neonatal resuscitation can produce a vagal response resulting in bradycardia or apnea. The feasibility of delaying any airway suctioning and avoiding deep suctioning has not been studied. OBJECTIVES: To test the hypothesis that newborn resuscitation is feasible with the following two guidelines: 1) avoiding any suctioning until the infant establishes spontaneous respiration, and 2) avoiding the use of deep suction with catheters. STUDY DESIGN: A quality improvement project was implemented using these two guidelines. Infants’ mouth was cleaned with a dry cloth. No suction was started until infants establish spontaneous breathing. Then, bulb suction was used to clear secretions from the sides of the mouth and the nose without reaching the back of the pharynx. Deep suction using catheters was not used. Neonatal staff and physicians received biweekly training to support these changes. Resuscitation data before and after the practice change were compared. RESULTS: A total of 999 sequential cases were compared; of them 501 and 498 infants were resuscitated before and after the implementation of the new practice, respectively. Suction before spontaneous breathing occurred in 12.4% in the first cohort. There were no differences between groups except for less use of oxygen with the new guidelines (12.4% vs 4.4%, P < 0.001). CONCLUSION: Avoidance of any suction prior to spontaneous breathing and not applying deep suction with catheters are feasible during newborn resuscitation. These practices are associated with decreased exposure to oxygen in the delivery room.
Paradigm shift in Special Relativity: From the Michelson-Morley experiment, Lorentz and light speed invariance, to the reciprocal linear Sagnac effect and conservation of simultaneity
Authors: Spavieri Gianfranco , Haug Prof. Espen Gaarder
Published: September 2023

We discuss the evolution of special relativity and show that the original interpretation based on light speed and Lorentz invariance is ruled out, theoretically, by paradoxes and, experimentally, by the optical effects of the Sagnac type. This paradigm shift enables the possibility to measure the one-way speed of light.
A Comparative Study on the Prevalence of HPV16 Virus in Oral Lichen Planus and Oral Lichenoid Lesions Using PCR Technique
Authors:   Department of Microbiology, Faculty of Biological Sciences, Flowerjan Branch, Islamic Azad University, Isfahan, Iran., Zoodashena Parisa , Hoveida Laleh ,   Department of Microbiology, Faculty of Biological Sciences, Flowerjan Branch, Islamic Azad University, Isfahan, Iran, Aminzadeh Atoosa ,   Department of Oral Pathology, Faculty of Dentistry, Islamic Azad University, Isfahan Branch (Khorasgan), Isfahan, Iran
Published: September 2023

Background and Objectives Oral lichen planus (OLP) and oral lichenoid lesion (OLL) have similar clinical and histopathological features but are with different etiology and treatment. Therefore, their differentiating is of interest. The role of human papillomavirus (HPV) in OLP development has been reported in previous studies, but its role in development of OLLs has not been investigated. Therefore, the present study aims to investigate the presence of HPV16 in OLL and OLP. Subjects and Methods This retrospective study was performed on 21 paraffin blocks of OLP and 15 paraffin blocks of OLL collected from the archive section of the Department of Pathology, Faculty of Dentistry, Islamic Azad University, Khorasgan branch in Isfahan, Iran in 2017. For the confirmation of DNA extraction from formalin-fixed paraffin-embedded tissue blocks, β-globin gene expression was examined using The samples were tested for the presence of HPV16 genome by PCR. Data were analyzed using chisquare, Fisher’s exact test, and independent t-test. Results The prevalence of HPV16 was 0% in the OLP group and 6.7% (1 out of 15) in the OLL group. Fisher’s exact test did not show a significant difference between the two groups (P>0.05). Conclusion There is no significant association between HPV16 infection and having OLL and OLP. Further studies with more samples are recommended.
Preparing a Synbiotic Jelly Product Using Wild Sage Seed Mucilage, Carrageenan, and Free and Encapsulated Lactobacillus Casei Bacteria
Authors:   Department of Food Hygiene, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran., Nasiri Rineh Homeyra , Golestan Leila ,   Department of Food Hygiene, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran., Shahidi Seyed-Ahmad ,   Department of Food Science and Technology, Ayatollah Amoli Branch, Islamic Azad University, Amol, Iran, Darjani Pegah ,   Zistfanavaran Salamatgostar Tabarestan Company, Simorgh Incubator, Mazandaran Science and Technology Park, Kiakola, Iran.
Published: September 2023

Background and Objectives Synbiotic foods have beneficial effects on the health. This study aims to evaluate the survival of Lactobacillus casei (L. casei) bacteria in the jelly containing sage seed mucilage and carrageenan. Subjects and Methods In this study, after extracting the mucilage from wild sage seed, its 1% concentration and 2% sodium alginate (Carrageenan), as an encapsulating material, were used to protect L. casei bacteria. In this regard, five groups of jelly samples were prepared: Carrageenan alone, carrageenan + wild sage seed mucilage, carrageenan+wild sage mucilage+free L. casei, carrageenan+free L. casei, and carrageenan+carrageenan+encapsulated L. casei. The pH and acidity of the produced jelly samples were evaluated during 28 days of storage at 4°C. Results During 28 days of storage, the log reduction of the logarithmic cycle in the carrageenan+wild sage seed mucilage+encapsulated L. casei group (1.9±0.01) was significantly lower than in the carrageenan + free L. casei group (4.08±0.1). The log number of remaining encapsulated L. casei group bacteria at the end of 28 days was higher than the standard limit (6.65±0.2). The presence of mucilage in the jelly led to an increase in the viability of free L. casei bacteria (3.09±0.21). In the samples containing free L. casei bacteria, acidity increased and pH decreased significantly during the storage period (P<0.05), while in samples containing encapsulated probiotics, changes in acidity and pH during storage were not significant (P>0.05). Conclusion Prebiotic bacteria can survive better in the encapsulated form. The addition of sage seed mucilage, can increases the survival of L. casei bacteria in the jelly during 28 days of storage.
Inhibitory Effect of Nepeta Crispa L. and Nepeta Cataria Extracts on Candida Albicans Growth: An In-vitro Study
Authors:   Oral Medicine Department, Dental Research Center, Hamadan University of Medical Scineces, Hamadan, Iran, Jazaeri Mina , Radi Shahrbanoo ,   Oral Medicine Specialist, Private Practice, Hamadan, Iran., Rahimi Bahman ,   Dentist, Hamadan, Iran, Kheyri Homayoun ,   Avicenna Medicinal Plants Research Center, Hamadan, Iran
Published: September 2023

Background and Objectives Considering the existence of many medicinal plants in Iran and the high prevalence of oral candidiasis, the present study aims to evaluate the inhibitory effects of Nepeta crispa L. and Nepeta cataria extracts on Candida albicans growth. Subjects and Methods After preparing the extracts of two plants, their minimum inhibitory concentration (MIC) and minimum lethal concentration (MLC) for C albicans were measured by broth microdilution method. The inhibitory effect of the extracts was evaluated by the disk diffusion method and measuring the diameter of inhibition zone. Data were analyzed in SPSS software, version 22. The significant level was set at 0.05. Results The MIC of N. crispa L. and N. cataria extracts was 1.1 and 2.4 μg/mL, respectively. Their MLC was 4 and 6 μg/mL, respectively. The highest inhibition zone diameter was for nystatin (21.31 mm), while the lowest diameter was for N. cataria extract (11.60 mm). No. significant difference was observed in the inhibition zone diameter between nystatin and N. crispa L. extract (P>0.05). Conclusion The inhibitory effect of N. crispa L. extract on the candida albicans growth is not significantly different from the effect of nystatin. Although N. cataria extract has inhibitory effect, its effect is significantly lower than the effect of nystatin.
Effect of Cognitive-behavioural Therapy on Psychological Well-being of Patients With Cancer in Ahvaz, Iran
Authors:   Department of Health Psychology, Khoramshahr International Branch, Islamic Azad University, Khoramshahr, Iran, Torfiamidpoor Shamsaldin , Heydarei Alireza ,   Department of Psychology, Faculty of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran, Makvandi Behnam ,   Department of Psychology, Faculty of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran, Bakhtiyarpour Saeed ,   Department of Psychology, Faculty of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
Published: September 2023

Background and Objectives In addition to physical problems, patients with cancer suffer from psychological and social problems caused by the disease, which may affect their quality of life. This study aims to investigate the effect of cognitive-behavioral therapy (CBT) on psychological well-being of patients with cancer in Ahvaz, Iran. Subjects and Methods This study was conducted with a pre-test/post-test design. The study population consists of all patients with cancer in Ahvaz City in 2021, of whom 45 were randomly selected and randomly divided into two groups of intervention and control. To collect data, the short form of psychological well-being scale developed by Ryff (2002) with 18 items was used. rated on a 6-point Likert scale, from completely disagreeing (1 point) to completely agreeing (6 points). The intervention group underwent CBT, but no treatment was provided to the control group. Data were analysed in SPSS software , version 22, using analysis of covariance. Results The results showed that CBT had a significant effect on the psychological well-being of patients (P>0.05). Conclusion The CBT can be used to improve the psychological well-being of patients with cancer in Ahvaz and consequently improve their mental health.
Calculation of RC Circuits, Switching Overvoltage and Energy Loss in Thyristor Converters
Authors:   JSC «Power machines», Adalev A. S. , Glushakov V. V. ,   JSC «Power machines», Karzunov R. A. ,   JSC «Power machines», Pronin M. V. ,   JSC «Power machines»,   Saint Petersburg Electrotechnical University, Fedorov N. I. ,   JSC «Power machines»
Published: September 2023

In thyristor converters, abrupt voltage changes occur during switching of valves. The voltages change most significantly when the thyristors are switched off. To limit overvoltage, thyristors are shunted by RC circuits. RC circuits reduce overvoltages, but usually do not eliminate them completely. Switching overvoltages depend on the reverse current in thyristors when they are switched off, on the parameters of the converter circuit and on the parameters of RC circuits. Experimental studies have been carried out and a simulation model with a thyristor rectifier and RC circuits in MatLab-Simulink has been developed taking into account special resonant circuits forming a proper current shape. Calculations of electric processes in the model have been performed. The results of the calculations were compared with experimental data, and a sufficient coincidence was achieved.
Autonomous Runway Friction Coefficient Tester
Authors:   Saint Petersburg Electrotechnical University, Muzalevskiy A. R. , Druian E. V. ,   Saint Petersburg Electrotechnical University, Kopichev M. M. ,   Saint Petersburg Electrotechnical University, Putov V. V. ,   Saint Petersburg Electrotechnical University, Rusyaeva T. L. ,   Saint Petersburg Electrotechnical University, Chernyshev M. A. ,   Saint Petersburg Electrotechnical University
Published: September 2023

The paper describes an autonomous friction coefficient tester with an electromechanical braking device of the measuring wheel. Its structure is given and the computer vision system operation is described.
GLOBAL EXPERIENCE IN FINANCIAL MONITORING OF CRYPTOCURRENCY TRANSACTIONS (ON THE EXAMPLE OF JAPAN, THE US AND THE EU)
Authors:   Zhytomyr Polytechnic State University, Hrabchuk Iryna
Published: September 2023

The article outlines the distinctive features of monitoring cryptocurrency transactions in Japan, the USA, and the EU countries. Its purpose is to analyse the worldwide practices of financial monitoring concerning cryptocurrency transactions. Techniques of theoretical generalisation, systematisation, comparative analysis and graphic methods were used in the research. The informational basis of the research was the works of domestic scientists devoted to the indicated problems, reports of international organisations. It is determined that under the influence of the accelerated development of cryptocurrency circulation, the financial monitoring systems of the leading countries of the world are changing in accordance with the recommendations of international standards. Such changes have already taken place in Japan, the USA and the EU. This allowed Japan to gain additional opportunities to track virtual currency transfers, which is a confirmation of the high requirements for financial monitoring in this country. As for the United States, the regulation of cryptocurrency transactions is complex, as cryptocurrencies may fall under the jurisdiction of different regulatory authorities depending on their nature. The adoption of the EU's MiCA makes Europe a well-regulated place for cryptocurrency trading, thereby helping to reduce the risks of its use for money laundering and terrorist financing. It is determined that cryptocurrency has a different legal status (as a means of payment, as a financial asset, as a digital asset, and so forth). In order to eliminate the possibility of its use in illegal activities, it is necessary to comply with international recommendations on combating money laundering and terrorist financing when building and improving national financial monitoring systems. Therefore, at the level of each country, the issues of proper legal regulation of cryptocurrencies, clear regulation of the activities of virtual currency intermediaries, and the procedure for controlling the risks of money laundering and terrorist financing using cryptocurrencies should be determined.
RETROSPECTIVE AND STRATEGIC FRAMEWORK FOR THE INSTITUTIONAL DEVELOPMENT OF UKRAINIAN AIRPORTS AND AIRFIELDS
Authors:   National Aviation University, Mykhalchenko Oleksii
Published: September 2023

The dynamics of passenger traffic on domestic and international flights for the two stages are formalised. It is reported that the main reason for seeing another phase, a sharp increase in 2020, is the COVID-19- related exchange. It is noted that during 2011–2021, passenger traffic through Ukrainian airports increased against the background of opposite trends in rate for domestic flights and an increase for international flights. The dynamics of passenger traffic for domestic and international flights for two stages is formalised. It is identified that the market of airport services in terms of the share of passenger turnover is overly concentrated, and the airports with the highest ratings are identified. The advantages of developing airports and airfields in Ukraine are identified. The factors hindering the development of Ukrainian airports and airfields are systematised. Proposals for the adoption of current factors for the development of airports and airfields are as follows: to fulfil its obligations under the Open Skies Agreement; to certify airports in accordance with EU standards; to continue liberalising the air transport market and creating a competitive environment by increasing the number of air carriers; to intensify business activity by cooperating with airlines to maintain existing and open new international routes; to develop infrastructure for transfer passengers; to improve the quality of airport services and expand the range of support services; improve the security of airports and aviation activities. The following measures are proposed to implement the state programme for the development of airports: preparation of investment projects/business plans aimed at building new airports and reconstructing existing ones, increasing the capacity of existing ones; improving the quality of airport services; increasing passenger and cargo turnover; maintaining airports in a condition that ensures flight safety; innovative renewal of fixed assets.
OPTIMISATION OF DIGITAL DISTRIBUTION BUSINESS PROCESSES
Authors: Дубель Михайло
Published: September 2023

The methods to increase the revenue of companies in the digital distribution market are determined by the author through consistent monitoring of operating and marketing costs, prudent planning of advertising campaigns, and continuous analysis of current unjustified or excessive expenditures. Furthermore, it is necessary to increase the costs of technological development, the company's technical equipment, and improvements in the distribution channels for digital goods, and to redistribute costs by increasing both operating and marketing costs, as well as technological expenditures. The above findings are based on the author's multi-factor model of digital distribution business processes, and they reflect on the leading companies in the industry. By applying BPMN and the conceptual principle of "pulling" digital goods and services to the market, a model for optimising the digital distribution business processes of an international company is developed.
ГРАНТОВІ МОЖЛИВОСТІ ПРОГРАМИ «ЄРОБОТА» ДЛЯ СТАРТУ ТА РОЗВИТКУ ВЛАСНОЇ СПРАВИ ВЕТЕРАНІВ ТА ЧЛЕНІВ ЇХ РОДИН
Authors: Кобеля-Звір Мар’яна
Published: September 2023

У статті розглянуто основні грантові можливості урядової програми «єРобота» для ветеранів та членів їх родин. Окреслено основні можливості програми, зокрема: отримання грантового фінансування на придбання меблів, обладнання та транспортних засобів для комерційного використання; ліцензійного програмного забезпечення; сировини, матеріалів, товарів та послуг, необхідних для реалізації бізнесу, а також на тварин або саджанці для створення ферм; послуги з маркетингу та реклами; оренду нежитлових приміщень та обладнання; придбання франшизи. Зазначено, хто може отримати грант, а саме: учасники бойових дій, особи з інвалідністю внаслідок війни, а також їхні дружини або чоловіки. Акцентовано, що грант може отримати ФОП або фізична особа, яка планує відкрити власний бізнес. Продемонстровано умови отримання грантового фінансування. Розглянуто перспективи залучення грантової безповоротної допомоги для започаткування та розвитку власної справи в будь-якій сфері. Продемонстровано специфіку та пріоритети грантової програми для підтримки ветеранів та членів їх родин. Розглянуто перспективи створення нових робочих місць, утвердження ветеранської підприємницької діяльності, зміцнення економіки України. Визначено основні перепони та бар’єри, з якими стикаються ветерани та ветеранки та члени їх родин, у процесі залучення грантових інструментів урядової програми «єРобота». Проаналізовано причини не надто активного використання підприємцями ветеранської спільноти грантового фінансування. Зокрема, це: довготривалий та ускладнений бюрократичними процедурами процес отримання статусу учасника бойових дій, виявлені погрішності в діловій репутації заявника, умова отримання максимального фінансування до 1 млн грн - щонайменше 3 роки мати зареєстрований ФОП, складність в розробці бізнес-плану на участь у грантовій програмі. Запропоновано методи подолання цих перепон. Продемонстровано основні можливості розвитку ветеранського бізнесу України завдяки використанню грантових інструментів програми «єРобота», що дасть ветеранам дієвий поштовх до започаткування та розвитку власної справи, від чого залежить не лише їх добробут, але й зміцнення економіки України у воєнний та повоєнний час.
ОCОБЛИВОCТІ ТА ПРОБЛЕМИ CИCТЕМИ ДЕРЖАВНИХ ЗАКУПІВЕЛЬ PROZORRO В ПЕРІОД ВІЙCЬКОВОГО CТАНУ
Authors: Ткачук Наталія , Дейнека Катерина
Published: September 2023

Cтаття приcвячена актуальним питанням функціонування cиcтеми державних закупівель в Україні. Проаналізовано оcобливоcті закупівель в умовах воєнного cтану, а також визначено ряд проблем, ризиків та загроз в даній cфері та окреcлено перcпективні напрямки розвитку cиcтеми тендерних закупівель у майбутньому. В Україні вже діє cформована cиcтема публічних закупівель. Проте впровадження cталих публічних закупівель допоможе не лише заощаджувати державні реcурcи, але й одночаcно доcягти більш маcштабних цілей: інвеcтиційна привабливіcть, збільшення екcпорту, лояльніcть іноземних ринків та зелена економіка. Впровадження зелених закупівель як інcтрументу політики дозволить Україні доcягати ключових економічних цілей, cтворюючи попит на інноваційні продукти, поcлуги та товари, які мають найменший вплив на навколишнє cередовище протягом уcього їх життєвого циклу. Публічні закупівлі віддзеркалюють поточний стан економіки держави. Вони впроваджені з метою забезпечення належного рівня економіки України, забезпечення громадян товарами і послугами високої якості та ефективності використання бюджетних коштів. Це можливо завдяки запровадженню ефективного та прозорого здійснення закупівель, створення конкурентного середовища в сфері публічних закупівель та мінімізації корупційних ризиків. Регламентація цієї сфери вимагає систематичного дослідження покращення механізму реалізації публічних закупівель та вдосконалення нормативно-правової бази їх проведення. З початком повномаcштабної війни рф проти України 24 лютого 2022 р. оcновні принципи закупівель – макcимальна економічна вигода, відкритіcть, прозоріcть та чеcна конкуренція – були замінені такими критеріями, як cвоєчаcна закупівля необхідних товарів, поcлуг чи робіт та їх відповідніcть національним інтереcам, безпеці і потребам оборони.
Tingkat Pendapatan dan Kelayakan Usaha Tani Cabai Merah di Dusun Taeno Desa Rumahtiga Kota Ambon
Authors: Fadersair Nova , Pattiselanno August E , Siwalette Jetter D
Published: September 2023

Cayenne pepper is an important commodity that causes inflation in Ambon City. Inflation conditions occur because there are frequent price fluctuations due to fluctuations in the supply of these commodities. Therefore, this research aims to analyze the income level and feasibility of red chili farming in Taeno Hamlet, Rumahtiga Village, Ambon City. The results of the research concluded that the income of red chili farmers, the income of cayenne pepper farmers in Taeno Hamlet was obtained from a total income of Rp958,200,000,00 with an average of Rp23,955,000,00 minus total production costs of Rp219,995,000,00 with an average IDR 5,499,875,00 so that the income received by cayenne pepper farmers in Taeno Hamlet is IDR 738,205,000,00 with an average of IDR 18,455,125,00 per year. The Revenue Cost Ratio results show a ratio value of 4.36 which is obtained from total income divided by total production. Based on the results of the feasibility analysis of cayenne pepper farming, R/C. Thus, it can be concluded that cayenne pepper farming in Taeno Negeri Rumahtiga Hamlet, Teluk Ambon District is worth pursuing.
PARA YÖNETİMİNDE FİNANSAL OKURYAZARLIĞIN ROLÜ: AMPİRİK BİR ARAŞTIRMA
Authors: ÇETİNKAYA Aslı
Published: September 2023

Para yönetimi bireylerin parayı nasıl elde ettiği, bütçelendirdiği, biriktirdiği ve harcadığı ile ilgilidir. Bireyler parayı etkin yönettiğinde finansal refaha ulaşabilecekleri için hem aile hem iş hem de sosyal yaşamlarında rahat edebilirler. Sağlıklı finansal kararlar alabilme becerisi olarak tanımlanan finansal okuryazarlığın ise para yönetiminde önemli bir rol oynayacağı düşünülmektedir. Buradan yola çıkarak çalışmada öncelikle finansal okuryazarlık düzeyi ile para yönetimi ilişkisinin belirlenmesi amaçlanmış ve korelasyon analizi yapılmıştır. Buna ek olarak katılımcıların finansal okuryazarlık düzeylerinin ve para yönetimi davranışlarının demografik değişkenlere göre farklılaşma durumu belirlemeye yönelik analizlere yer verilmiştir. Ayrıca katılımcıların finansal okuryazarlık düzeyleri temel ve ileri düzey olmak üzere iki kategoride incelenmiş ve katılımcıların finansal okuryazarlık düzeyleri gözlemlenmiştir.
Yapılan analizler sonucunda finansal okuryazarlık ve para yönetimi arasında pozitif bir ilişki tespit edilmiştir. Katılımcıların finansal okuryazarlık düzeylerinin ve para yönetimi davranışlarının farklı demografik özelliklere göre farklılaştığı görülmüştür. Son olarak katılımcıların temel düzey finansal okuryazar oldukları, ileri düzey finansal okuryazarlık becerilerine kısmen sahip oldukları gözlemlenmiştir.
An Empirical Study on Cantonese Upper-intermediate ESL Learners’ Production of English Word-final Plosives
Authors: Song Yining
Published: September 2023

This paper sets out to examine the pronunciation problems encountered by Cantonese upper-intermediate ESL learners when they are producing English word-final plosives. The primary goal is to identify the basic error pattern and uncover influencing factors. Empirical data were collected in a controlled speech production experiment. Based on the transcription of speech data, the researcher classified the word-final plosives that are not fully retained into four types, namely devoiced, unreleased, deleted and others. The data indicate that the subjects performed much better in the production of voiceless word-final plosives and they are prone to substituting voiced plosives with voiceless ones. It is also found that the subjects tend to omit the release stage of English word-final plosives. In addition, the word-final plosives were totally deleted or pronounced as other irrelevant phonemes in a few cases. It is suggested that the errors of devoicing and unreleasing can be largely attributed to the interference of Cantonese. In light of the findings, remedial teaching programs can be designed and implemented to facilitate Cantonese ESL learners’ overcoming of these problems.
Inovasi Pemanfaatan Blockchain dalam Meningkatkan Keamanan Kekayaan Intelektual Pendidikan
Authors: Wasriyono  , Apriliasari Dwi , Bayu Ajie Putra Seno
Published: September 2023

Indonesia saat ini sedang mencari metode mutakhir untuk melindungi Ijazah dan Kekayaan Intelektual seperti Transkrip Nilai dari pemalsuan. Ini dilakukan karena adanya oknum pemalsu dokumen, ada beberapa contoh yang didokumentasikan. Salah satu cara menggunakan transkrip palsu adalah untuk mendaftarkan diri ke sekolah yang bagus dan mendapatkan promosi di tempat kerja. Blockchain adalah teknologi baru yang diklaim mampu menyelesaikan masalah tersebut. Sifat teknologi blockchain yang aman, tidak dapat diubah, terdistribusi, dan tentunya transparan yang dimana memenuhi persyaratan untuk dokumen yang di transkrip. Blockchain digunakan untuk membangun intervensi baru untuk meningkatkan proses pendidikan tinggi. cara-cara yang berlaku untuk berbagi, menyampaikan dan mengamankan data pengetahuan dan catatan pribadi para mahasiswa/i. Penerapan teknologi Blockchain membawa kemajuan konseptual dalam sektor pendidikan tinggi di mana ia telah menambahkan nilai substansial dengan berbagi, menyampaikan dan mengamankan data pengetahuan dan catatan pribadi siswa. Untuk mereplikasi proses belajar mengajar universitas, penelitian sedang dilakukan di bidang ini. Banyak penelitian telah dilakukan, namun tidak ada yang secara khusus menunjukkan prosedur sistematis untuk kegiatan belajar mengajar. Banyak penelitian telah dilakukan, namun tidak ada yang secara khusus menunjukkan prosedur sistematis untuk kegiatan belajar mengajar. Bagaimana teknologi blockchain dapat membantu kegiatan belajar mengajar adalah pertanyaan studi utama. Kelompok fokus dengan perwakilan dari 9 universitas terkemuka digunakan sebagai metode kualitatif dalam penelitian ini untuk membahas proses operasi akademik. Temuan menunjukkan bahwa layak untuk mengintegrasikan Teknologi Blockchain ke dalam proses belajar mengajar untuk mencegah pemalsuan dokumen transkrip universitas.
Penelitian Minat Ekstrakurikuler Mahasiswa Dalam Bermusik Pada Pembelajaran Jarak Jauh di Era 4.0
Authors: Raden Roro Tsara Ayuninggati  , Sondang Visiana Sihotang  , Muhamad Ikhsan Mustopa  , Wahyuningsih
Published: September 2023

Era Globalisasi mempengaruhi perubahan besar terhadap perkembangan teknologi yang berdampak pada keberlangsungan ekonomi, sosial, infastruktur, politik dan terkhusus pada pendidikan. Salah satunya pada perubahan model pembelajaran, kini pembelajaran jarak jauh telah banyak di aplikasikan dalam pendidikan tingkat sarjana. Model pendidikan praktek jarak jauh ini memiliki masalah-masalah tertentu yang perlu dicermati, salah satu masalah yang harus dipecahkan yakni pada minat ekstrakulikuler mahasiswa yang semakin menurun  sehingga menjadi latar belakang penelitian ini untuk mengetahui minat ekstrakulikuler mahasiswa pada jarak jauh. Kontribusi penelitian ini adalah untuk mengetahui minat musik mahasiswa  pada ekstrakulikuler yang dilakukan secara  jarak jauh di era 4.0 dan pandangannya terhadap pendidikan jarak jauh. Metode yang digunakan pada penelitian ini dengan survei model diadopsi dengan partisipasi total 52 Mahasiswa. Pengumpulan data dilakukan dengan menggunakan sebuah kuesioner terdiri dari 12 item yang dikembangkan oleh para peneliti. Ditemukan bahwa mayoritas mahasiswa memiliki antusias yang sangat baik pada ekstrakulikuler musik, berdasarkan hasil akhir penelitian pandangan minat musik mahasiswa meningkat pada pembelajaran jarak jauh sebanyak 55,7% dari yang sebelumnya berpendapat negatif kini menjadi positif setelah menjalankan pembelajaran jarak jauh. Dan total keseluruhan mahasiswa yang memiliki pandangan positif adalah 90.3%.
Analisa Peran Triple Helik dalam Mengatasi Tantangan Pendidikan di Era Industri 4.0
Authors: Wuisan Dewi Sri Surya , Mariyanti Tatik
Published: September 2023

Di era yang sudah canggih ini banyak sekali teknologi teknologi yang dapat membantu dalam berbagai bidang, salah satunya adalah di bidang pendidikan sudah sebaiknya di dunia pendidikan pada saat ini memanfaatkan teknologi. Penelitian ini bertujuan untuk mengembangkan proses belajar mengajar yang berkualitas dengan menggunakan teknologi Industri 4.0 di lingkungan pendidikan. Dan tujuan utama dari artikel ini adalah untuk mengusulkan institusi berbasis masyarakat (perusahaan, pemerintah, dan akademisi) untuk mengembangkan pendidikan 4.0. Rancangan tersebut dijabarkan melalui pandangan sistem yang tertata dengan baik berdasarkan praktik baik, tantangan dan peluang dalam pendidikan 4.0, dengan mempertimbangkan literatur teknis-ilmiah. Karya ilmiah utama ini berkontribusi pada penciptaan pengetahuan pendidikan 4.0 baru dan memperluas serta memperdalam literatur yang ada dan dapat mendukung penelitian baru dan mendorong inisiatif pada subjek tersebut. Kontribusi terapan utamanya adalah peningkatan akses pendidikan berkualitas melalui pengembangan pendidikan 4.0. Karya ini dikembangkan melalui tinjauan sistematis literatur teknis-ilmiah dalam pendidikan 4.0. Dalam metode penelitian ini menggunakan tinjauan literatur yang sistematis berdasarkan analisis kritis terhadap literatur yang dapat mengidentifikasi studi yang paling relevan.
Optimizing Human Potentials in Islamic Education: Senses, Aql, and Qalb
Authors: Meliani Fitri , Ahmad Nurwadjah , Suhartini Andewi
Published: September 2023

God created man in both physical and spiritual aspects. The physical part is the human body that can be seen like the senses, while the spiritual aspect is aql and qalb, which are invisible. This research analyzes human potential based on Qur'anic terminology and its role in Islamic education. This research used qualitative methods. The data collection was documented from the Qur'an interpretation as the primary data source and journal articles and renowned books related to the topics as the secondary data sources. Data analysts used text analysis methods, such as selecting critical terms from the vocabulary of the Qur'an interpretation, determining the basic meaning and relational meaning, and inferring and integrating these concepts into one general idea. The results of this study are. First, the potential of sense was mentioned in the Qur'an in three terms: Al-Sam'u is repeated 185 times, Al-Bashr is repeated 139 times, and Al-Dhuq, is repeated 48 times. Second, the potential of reason, etymologically, the term aql is mentioned in the Qur'an in more than 49 words, collected in dzakara, faqiha, 'alima, tadabbara, tafakkur, and ulul albab. Third, the potential of the qalb (heart), the mashdar form of the qalaba-yaqlibu-qalban root, which means true. The Qur'an uses the word heart mentioned 122 times, spread across 45 letters and 112 verses. Islamic education must covers all potentials such as tarbiyah imaniyah, tarbiyah khuluqiyah, tarbiyah jismiyah, tarbiyah aqliyah, nafsiyah ijtima'iyah, so it will produce quality Islamic education output.
Identifikasi Batuan Penyusun Dan Karakteristik Mata Air Panas Di Daerah Panas Bumi Ake Sahu Kelurahan Tosa Kecamatan Tidore Timur
Authors: Zakina Siti , Haya Arbi , Madi Almun
Published: September 2023

Panas bumi merupakan salah satu sumber energi yang cukup potensial dikembangkan. sistem panas bumi adalah suatu daur hidrologi air (air tanah dan hujan) dimana dalam perjalanannya berhubungan dengan sumber panas (heat source) yang bertemperatur tinggi, sehingga terbentuk air panas atau uap panas yang terperangkap dalam batuan yang berporous dan mempunyai permeabilitas yang tinggi. Penelitian ini bertujuan untuk mengidentifikasi lapisan batuan penyusun sumber mata air panas dengan metode geolistrik konfigurasi Schlumberger dan untuk mengetahui karakteristik fisik dan kimia mata air panas. Metode penelitian ini dapat diklasifikasikan sebagai penelitian kuantitatif dengan pendekatan matematis dimana pada penelitian ini dilakukan dengan pengambilan data lapangan berupa data-data (koordinat lokasi, elevasi,beda potensial, kuat arus, spasi elektroda, karakteristik fisik (warna, bau, dan suhu) dan karakteristik kimia (pH, TDS, EC) air panas) yang nantinya akan diinterpretasi menggunakan perangkat lunak (softwere) berupa Microsoft Excel dan IP2Win. Lapisan batuan penyusun sumber mata air panas pada lintasan 1 dan lintasan 2 dengan kedalama 25 meter dan panjang lintasan 100 meter memiliki beberapa lapisan yaitu berupa air dalam lapisan alluvial, lava, batu pasir lempung, air tanah, dan lempung. Karakteristik fisik dan kimia mata air panas yang terdapat di daerah Akesahu adalah berupa mata air panas yang tidak berbau, berwarna bening dan jernih, sifat keasaman cenderung netral dengan pHÂ  sebesar 6,59 â€“ 6,66, suhu permukaan antara 37,6 â€“ 38,1oC, dengan daya hantar listrik berkisar antara 4520 â€“ 4750 ÂµS/cm, beserta nilai TDS sebesar 2260 â€“ 2460 ppm.