bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation of Auditory Brainstem Response test in comparison with other standard Behavioral tests results
Authors: Ali Muntaha J. , AL-Said Wijdan F.
Published: May 2023

Background: There has always been a need for valuable measurements that can be used to measure hearing loss degree in patient who cannot responses to the subjective (behavioral) tests.
Objectives: to examine the accuracy of the click - Auditory Brain stem Response (ABR) test in estimating the hearing loss degree in comparison with the behavioral tests {Free Field (FF)  or Pure Tone Audiometry (PTA )}.
Subjects and method: One hundred twenty one children, with suspected hearing loss, their age between 1-9 year, 51 females and 70 males were examined in this work.Result: The relationship between the hearing loss thresholds using the behavioral  tests and click ABR test were variable. The identical ABR results relative to the FF or PTA  results in Profound hearing loss were 84 %, and 100 % respectively. But this percentage decreased, starting from the severe hearing loss to normal hearing, it was 57% for PTA and 31% for the FF. Auditory evaluation in children who were suspected of having hearing loss done via the behavioral  tests, and click ABR. A comparison  has been done between ABR and the Free Field test threshold result in group (1), ABR with Pure Tone Audiometry results  in group (2).
Conclusion: Click –ABR, (2 – 4 kHz) test cannot be used as the only auditory threshold estimation but as a necessary part of the collective hearing data tests.
Studi Identifikasi Sebaran Permukiman Etnik Di Ternate
Authors: Asriany Sherly , Raffel Anthonius F. , Munir Arham , Harbelubun Muh.Muzni , Ridwan
Published: May 2023

Indonesia termasuk salah satu negara yang mempunyai keragaman etnis terbesar di dunia, dengan 931 suku, 600 bahasa daerah, dan jenis kekayaan budaya lainnya. Permukiman sebagai salah satu hasil fisik kebudayaan masyarakat Indonesia. Peran nilai-nilai solidaritas yang ada pada masyarakat menunjukkan bahwa permukiman etnik tidak terlepas dari pengaruh sosial budaya. Elaborasi bentuk sosial dan budaya ke dalam lingkungan tercermin dari identitas bentuk fisik ruang. Ada saling keterkaitan antara fisik, sosial, dan budaya dalam membentuk morfologi permukiman. Penelitian ini bertujuan untuk mengidentifikasi sebaran permukiman etnik yang ada di Ternate, Maluku Utara. Penelitian ini berada dalam paradigma naturalistik. Metode pendekatan yang digunakan dalam penelitian ini penelitian kualitatif deskriptif. Teknik pengumpulan data yang dilakukan antara lain melalui: survei, observasi, wawancara, fotografi dan skeksa, serta kuisioner. Teknik analisis data yang digunakan adalah triangulasi (triangulation analysis). Adapun temuan dari penelitian ini adalah sebaran permukiman etnik di Ternate. Sedangkan benteng Fort Oranje, Masjid Sultan, dan Kadaton Sultan sebagai pengikat diantara permukiman etnik yang ada di Ternate.
Strategic planning and organizational performance in food business: The role of organizational trust and pandemic planning
Authors: Marta M. Sandi , Anggara Sahya , Yuniarsih Tjutju , Sobandi A.
Published: May 2023

BACKGROUND: Strategic planning is very important in achieving sustainable organizational performance. Therefore, leaders need to pay attention to their planning by considering the conditions they face. OBJECTIVE: This study aims to investigate the relationship between strategic planning and performance with organizational trust as a mediator and pandemic planning as a moderator. METHODS: A survey technique was used to obtain cross-sectional data on 227 food business leaders (restaurants and cafes). Furthermore, the data were analyzed using Hayes Process Macro models 4 and 8 to answer the research hypothesis. RESULTS: The results showed that strategic planning had a positive effect on organizational trust and performance. Moreover, the relationship between strategic planning and performance was mediated by organizational trust and moderated by pandemic planning. However, pandemic planning was not proven as the moderator on the relationship between strategic planning and organizational trust. CONCLUSIONS: This study contributes to the performance of the food business by relating strategic planning, pandemic planning, and trust as the drivers of organizational sustainability. Moreover, the findings have implications for leaders that the interaction of pandemic planning needs to be considered in efforts to improve organizational performance during the COVID-19 period.
VGG16 feature selection using PCA-big bang big algorithm
Authors: Sharma Rahul , Singh Amar
Published: May 2023

In the recent decade, plant disease classification using convolution neural networks has proven to be superior because of its ability to extract key features. Obtaining the optimum feature subset with the necessary discriminant information is challenging. The main objective of this paper is to design an efficient hybrid plant disease feature selection approach and validate it on standard image datasets. The raw input image features were transformed into 8192 learned features by employing the VGG16. To reduce the training time and enhance classification accuracy, the dimensionality reduction technique Principal Component Analysis (PCA) is integrated with the big bang-big crunch (BBBC) optimization algorithm. The PCA-BBBC feature selection method reduces computing time by eliminating unnecessary and redundant features. The proposed approach was evaluated on plant diseases and benchmarked image datasets. Experimental results reveal that the Artificial Neural Network (ANN) classifier integrated with the VGG16-PCA-BBBC approach enhanced the performance of the classifier. The proposed approach outperformed the VGG16-PCA-ANN method and other popular image classification techniques. For the rice disease dataset, the proposed hybrid approach reduced the VGG16 extracted 8192 deep features to 200 relevant principal components. The recommended reduced features were used for training ANN. The test dataset was classified by ANN with an accuracy of 99.12%. Experimental results demonstrate that the proposed approach improved the performance of the classifier and accurately labeled image and plant diseases datasets aiding farmers to adopt remedial measures.
Soft ωs-irresoluteness and soft pre-ωs-openness insoft topological spaces
Authors: Al Ghour Samer
Published: May 2023

We use soft ωs-open sets to define soft ωs-irresoluteness, soft ωs-openness, and soft pre-ωs-openness as three new classes of soft mappings. We give several characterizations for each of them, specially via soft ωs-closure and soft ωs-interior soft operators. With the help of examples, we study several relationships regarding these three notions and their related known notions. In particular, we show that soft ωs-irresoluteness is strictly weaker than soft ωs-continuity, soft ωs-openness lies strictly between soft openness and soft semi-openness, pre-ωs-openness is strictly weaker than ωs-openness, soft ωs-irresoluteness is independent of each of soft continuity and soft irresoluteness, soft pre-ωs-openness is independent of each of soft openness and soft pre-semi-openness, soft ωs-irresoluteness and soft continuity (resp. soft irresoluteness) are equivalent for soft mappings between soft locally countable (resp. soft anti-locally countable) soft topological spaces, and soft pre-ωs-openness and soft pre-semi-continuity are equivalent for soft mappings between soft locally countable soft topological spaces. Moreover, we study the relationship between our new concepts in soft topological spaces and their topological analog.
Hyperbolic entropy of uncertain sets and its applications
Authors: Tan Guimei , Yu Xichang
Published: May 2023

As a powerful tool to model some unsharp concepts in real life, uncertain sets have been studied by more and more scholars. In order to characterize the degree of difficulty of uncertain sets, the hyperbolic entropy of an uncertain set and the hyperbolic relative entropy of uncertain sets are introduced in this paper. After that, this paper derived a key formula to calculate the hyperbolic entropy of an uncertain set via membership function, and some mathematical properties of hyperbolic entropy are also investigated in this paper. Finally, the hyperbolic entropy is applied in some research fields such as uncertain learning curve, clustering of rare books and portfolio selection of collecting rare books.
RETRACTED: Uncertain regression model based on Huber loss function
Authors: Xie Wenxuan , Wu Jiali , Sheng Yuhong
Published: May 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Rough set model based on axiomatic fuzzy set
Authors: Xu Siyu , Qin Keyun , Pan Xiaodong , Fu Chao
Published: May 2023

Both fuzzy set and rough set are important mathematical tools to describe incomplete and uncertain information, and they are highly complementary to each other. What is more, most fuzzy rough sets are obtained by combining Zadeh fuzzy sets and Pawlak rough sets. There are few reports about the combination of axiomatic fuzzy sets and Pawlak rough sets. For this reason, we propose the axiomatic fuzzy rough sets (namely rough set model with respect to the axiomatic fuzzy set) establishing on fuzzy membership space. In this paper, we first present a similarity description method based on vague partitions. Then the concept of similarity operator is proposed to describe uncertainty in the fuzzy approximation space. Finally, some characterizations concerning upper and lower approximation operators are shown, including basic properties. Furthermore, we give a algorithm to verify the effectiveness and efficiency of the model.
RETRACTED: A real-time e-commerce accessories recommender system by coupling deep learning and histogram features
Authors: Bhuvanya R. , Kavitha M.
Published: May 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
DCT based densely connected convolutional GRU for real-time speech enhancement
Authors: Jannu Chaitanya , Vanambathina Sunny Dayal
Published: May 2023

Over the past ten years, deep learning has enabled significant advancements in the improvement of noisy speech. Due to the short time stability of speech signal, previous speech enhancement (SE) methods concentrated only on magnitude estimation, and these methods added a phase of the mixture in reconstructing the speech. The performance is limited in these approaches since the phase will also carry some of the speech information. Some of the speech enhancement approaches were developed later to jointly estimate both magnitudes as well as phases. Recently, complex-valued models, like deep complex convolution recurrent network (DCCRN), are proposed, but the computation of the model is very huge. In this work, we propose a Discrete Cosine Transform-based Densely Connected Convolutional Gated Recurrent Unit (DCTDCCGRU) model using dilated dense block and stacked GRU. The dense connectivity strengthens the gradient propagation by concatenating features from previous layers at the input. The advantage of the dense block is that at various resolutions, the dilated convolutions aid with context aggregation, and the dense connectivity provides a feature map with more precise target information by passing through multiple layers. To represent the correlation between neighboring noisy speech frames, a two Layer GRU is added in the bottleneck of U-Net. The experimental findings demonstrate that the proposed model outperformed the other existing models in terms of STOI (short-time objective intelligibility), PESQ (perceptual evaluation of the speech quality), and output SNR (signal-to-noise ratio).
The usage of internet of things in healthcare: A review of mechanisms, platforms, and opportunities from a new perspective
Authors: Zhu Zhihui , Zhu Meifang
Published: May 2023

In recent years, chronic diseases, an aging population, and high healthcare costs have become global concerns. The Internet of Things (IoT) is transforming society by enabling physical objects to sense and collect data about their surroundings. It has evolved to encompass a wide range of sensing strategies, and it continues to improve in terms of sophistication and cost reduction. IoT can play an important role in enhancing human health through remote healthcare. The application of advanced IoT technology in healthcare is still a significant challenge due to a number of issues, such as the shortage of cost-effective and accurate smart medical sensors, the absence of standardized IoT architectures, the heterogeneity of connected wearable devices, the multidimensionality of data generated, and the need for interoperability. In order to provide insight into the advance of IoT technologies in healthcare, this paper presents a comprehensive discussion on IoT device capabilities, focusing on the hardware and software systems, as well as the processing abilities, operating systems, and built-in tools.
Research on smart contract vulnerability detection method based on domain features of solidity contracts and attention mechanism
Authors: Wang Changjing , Jiang Huiwen , Wang Yuxin , Huang Qing , Zuo Zhengkang
Published: May 2023

The smart contract, a self-executing program on the blockchain, is key to programmable finance. However, the rise of smart contract use has also led to an increase in vulnerabilities that attract illegal activity from hackers. Traditional manual approaches for vulnerability detection, relying on domain experts, have limitations such as low automation and weak generalization. In this paper, we propose a deep learning approach that leverages domain-specific features and an attention mechanism to accurately detect vulnerabilities in smart contracts. Our approach reduces the reliance on manual input and enhances generalization by continuously learning code patterns of vulnerabilities, specifically detecting various types of vulnerabilities such as reentrancy, integer overflow, forced Ether injection, unchecked return value, denial of service, access control, short address attack, tx.origin, call stack overflow, timestamp dependency, random number dependency, and transaction order dependency vulnerabilities. In order to extract semantic information, we present a semantic distillation approach for detecting smart contract vulnerabilities. This approach involves using a syntax parser, Slither, to segment the code into smaller slices and word embedding to create a matrix for model training and prediction. Our experiments indicate that the BILSTM model is the best deep learning model for smart contract vulnerability detection task. We looked at how domain features and self-attentiveness mechanisms affected the ability to identify 12 different kinds of smart contract vulnerabilities. Our results show that by including domain features, we significantly increased the F1 values for 8 different types of vulnerabilities, with improvements ranging from 7.35% to 48.58%. The methods suggested in this study demonstrate a significant improvement in F1 scores ranging from 4.18% to 38.70% when compared to conventional detection tools like Oyente, Mythril, Osiris, Slither, Smartcheck, and Securify. This study provides developers with a more effective method of detecting smart contract vulnerabilities, assisting in the prevention of potential financial losses. This research provides developers with a more effective means of detecting smart contract vulnerabilities, thereby helping to prevent potential financial losses.
Group decision-making based on aggregation operator and score function of Q-neutrosophic soft matrix
Authors: Al-Sharqi Faisal , Romdhini Mamika Ujianita , Al-Quran Ashraf
Published: May 2023

A Q-neutrosophic soft environment is an innovative hybrid tool that combines features of both a Q-neutrosophic set (Q-NS) and a parametric tool “soft set” (SS) in order to manage imprecise and indeterminate situations in various mathematical problems. In this article, we introduce a new algebraic approach called Q-neutrosophic soft matrices (Q-NSMs) to address the issues of two-dimensional (two variables) in a universal set by representing the concept of Q-neutrosophic soft sets (Q-NSSs) in matrices. On Q-NSMs, we define the fundamental set operations and some algebraic operations, i.e., complement, union, intersection, addition, subtraction, multiplication, and scalar multiplication, and prove related properties of these operations. Moreover, these operations are illustrated via several numerical examples. Then, two algorithms are proposed to tackle group decision making (GDM) problems: The first depends on the score function of Q-NSMs, and the second is based on the aggregation operator of Q-NSMs. Finally, this study is supported by a brief comparison with some relevant previous models.
People with Early Onset Parkinson’s Disease: Empowered to Improve Care
Authors: Domingos Josefa , Teixeira Bastos Maria do Carmo , Couto Rui , Cameira Ana Rita , Cardoso Ana Leal , Reffóios Alexandre , Magalhães Susana , Massano João , Outeiro Tiago Fleming
Published: May 2023

Patient organizations play an ever-growing role in modern societies by providing organized resources for patients and care partners. Importantly, patient organizations enable patients to define and share their needs and views. In Parkinson’s disease (PD), patient organizations play significant roles in different countries. However, there is limited support and resources tailored for people with early onset Parkinson’s disease (EOPD). These individuals face unique social, professional, and personal challenges that are often not accounted for by general PD organizations, which play very important roles for a significant proportion of individuals with PD. In Portugal, this was the situation until 2022, when Young Parkies Portugal (YPP) was founded to allow people with EOPD and various stakeholders to join forces to cover their specific needs. In this manuscript, we aim to share our experience in building an association for people with EOPD, reflecting on the reasons for this need, the activities developed thus far, challenges in implementation, and future directions. In summary, we believe that nonprofit organizations like YPP play an essential role in shaping the care and support of people with PD care and should be considered key partners of care alongside the larger multidisciplinary team. We are confident that sharing our experience can inspire and guide the implementation of similar initiatives in other countries.
Effects of Metal Ions Present in Recycled Water on Washing of Reactive Dyed Cotton Fabric
Authors: Muhammad Asad Saleem , Cai Yingjie
Published: May 2023

Textile industry is a key source of contamination of heavy metal ions in water. These heavy metal ions include lead, cadmium, copper, arsenic, nickel, chromium, zinc, and mercury. These metals have been recognized as hazardous heavy metals because of their high degree of toxicity. Initially, copper was selected to determine the effects of metals present in recycled water during the washing process because of its extensive usage in the textile industry. However, copper becomes a part of process water while manufacturing and even a part of recycled water. Furthermore, recycled water contains such traces of metal that can cause problems during its reuse. In the current research, the presence of copper ions in water was simulated with copper sulphate and the obtained water was used for washing of fabric after reactive dyeing. The effects of salt on washing of three different types of reactive dyes, that is, monochlrotriazine, dichlorotriazine and vinylsulphone were evaluated by washing of dyed fabric. Moreover, evaluation process was achieved with different concentrations of salt at different temperatures, pH values, and time intervals. Besides, K/S, fixation%, color uniformity, color change, washing fastness, and rubbing fastness of samples were measured during evaluation. Results were also compared with detergent and water wash. Eventually, the results showed that copper has a prominent effect on fabric. Hence, it would be possible to allow certain concentrations of copper during the process of washing.

Index Terms: cotton, exhaust dyeing, metal ions, reactive dye, recycled water
Extraction of Natural Dyes from Turmeric (Curcuma longa) and their Application on Polylactic Acid Fiber
Authors: Cui Li  , Nasir Muhammad Jahandad
Published: May 2023

This research presents an eco-friendly approach towards Response Surface Methodology (RSM). The current study is based on the optimization of the dyeing process of biodegradable polylactic acid (PLA) fiber using with natural dyes of turmeric extractions by using Soxhlet extraction technique. The dyeing process was carried out by using Daelim Starlet III, which is an infrared dyeing machine. Three independent variables were selected, including pH, time, and temperature. According to the standard test protocols, dyed samples were evaluated for color strength (K/S), CIELab values, fiber tenacity, and fiber elongation. ANOVA test results of the Linear Model exhibited that the model terms have a significant effect on K/S and the physical strength of fiber. Moreover, the observed values were in agreement with the predicted values and the suggested equation model was satisfactory and accurate. A temperature of 100 °C with pH 5 and time duration of 30 minutes in the dyeing process were observed to achieve optimum dyed PLA fibers, exhibiting appreciable strength and elongation. Lastly, dyed fibers exhibited satisfactory color fastness ratings.

Index Terms: color strength, exhaustion, natural dyeing, polylactic acid fiber, turmeric
Sensory-Cognitive Interior Design Model for Improved Learning Outcomes in Art and Design Institutions
Authors: Kaleem Samia
Published: May 2023

The current research is a critique on the education community that follows a single standard of design and space. Moreover, it is expected to cater all forms of study from the primary to the higher education sectors. This statement stands true for a design school as well. Whereas, the indoor built environment contains the ability to affect and unfolds the mind of the students and also provides social opportunities, which in turn, influence the ability of the learners to think from different perspectives. This study mainly strives to enable the learners to interact with the world around them and to grow their learning capacities rather than being limited to their desks. Furthermore, it also allows them to be able to speak freely without any mental constrains and fears that are usually uphold by the traditional classical settings of the classroom. Eventually, the understanding of these connections becomes the basis of the ‘Design Center’ that aims to use the interior design elements to create a chance of new meetings rooms. Hence, allowing it to become a stimulant for an active learning space.

Index Terms: Active learning space, Cognition, Design Studio, Interior design, Spatial behavior.
Effectiveness of a novel multi-modal intervention for family caregivers of persons with age-related macular degeneration: a randomised controlled trial
Authors: Jin Ivan , Kha Richard , Tang Diana , Liew Gerald , Craig Ashley , Burlutsky George , Mitchell Paul , Gopinath Bamini
Published: May 2023

_Purpose: _Age-related macular degeneration (AMD) is a leading cause of visual impairment in older adults. Individuals affected by AMD often require regular physical and emotional support by family caregivers. Carers of people with AMD endure significant physical burden, emotional distress, increased financial stress, and disruptions due to their lifestyle and retirement plans as a direct consequence of the AMD caregiving experience. Despite this, there are currently no interventions targeted towards family caregivers of AMD patients. We evaluated the efficacy of a novel intervention aiming to improve the burden and wellbeing of family carers of persons with age-related macular degeneration (AMD).

_Materials and Methods:_ 94 family carers of relatives with AMD were primarily recruited through private eye clinics and randomised to either receive a 10-week intervention of mail-delivered cognitive behavioural therapy (M-CBT) and optional telephone delivered group counselling (n=47); or to a wait-list control group (n=47). Outcome measures were assessed pre-intervention (baseline) and 6-months post-intervention.

_Results:_ Intervention participants demonstrated several positive non-significant improvements versus control group at 6-months: burden (_P_=0.53), depressive symptoms (_P_=0.19), general self-efficacy (_P_=0.14), quality of life (_P_=0.17) and fatigue (_P_=0.15).

_Discussion: _Study findings demonstrate that combined M-CBT and telephone counselling intervention led to non-significant improvements in outcomes measures such as burden in family carers of persons with AMD.
The HERMESS model for addictive behaviors recovery
Authors: Molina-Fernandez Antonio Jesús
Published: May 2023

Addictive behaviors treatment networks are composed of harm-reduction services and recovery-oriented programs. Recovery is a perspective in addictive behavior intervention based on the empowerment, competencies, and life skills of a person with addictive behaviors. Recovery-oriented programs have advanced from traditional therapeutic communities to actual integral services, which are integrated into main international standards and manuals about addictive behavior interventions. There are different experiences valid to define proper recovery treatments. Different methodologies have been used to study addictive behavior recovery programs, either quantitative or qualitative strategies. The main conclusions are: recovery-oriented programs must be integrated and connected with harm reduction networks, social services, health systems, and employment services; recovery is based on empowerment and peer social support, so it´s necessary to develop structured programs for these topics; it´s also necessary to create specific actions for several collectives, as develop evaluation systems to validate efficiency and adequacy of recovery-oriented programs. As a main conclusion, the HERMESS recovery model was developed to be a reference for new recovery-oriented programs.
A Case Study of Regional Administrative Consolidation Policy: Focusing on administrative consolidation in Daegu and Gyeongbuk and administrative consolidation in Gwangju and Jeonnam
Authors:   The Korean Association For Local Administration, Kim Daewook
Published: May 2023

Recently, there have been nationwide discussions in Korea on regional administrative consolidation. This is in response to the urgent need for sustainable survival and growth of regions, as a result of regional extinction and concentration in metropolitan areas. This study conducted a case study on the Daegu-Gyeongbuk administrative consolidation and Gwangju-Jeonnam administrative consolidation, which were the most actively promoted among metropolitan administrative consolidations. The main findings of the study are as follows: In both regions, policies were promoted by a policy leader who was the head of a local government, and each promotion organization, research institution, and research alternative were prepared. However, at that level, Daegu-Gyeongbuk administrative consolidation, which started first, was more advanced than Gwangju-Jeonnam administrative consolidation. Additionally, it can be observed that while the Daegu-Gyeongbuk administrative consolidation led to a debate through the Public Debate Committee and a practical alternative, the Gwangju-Jeonnam administrative consolidation ended without entering the public debate stage.
A method for reducing parasite drag of medium transport helicopter
Authors: Kybalnyy Mykhaylo , Prytula Oleksii , Degtiarenko Sergii , Izviekova Kateryna
Published: May 2023

At present, more and more stringent emission requirements are being imposed on helicopters. Carbon dioxide emissions are a function of fuel consumption, and fuel consumption is directly dependent on the power required for a helicopter cruise flight. The power, required for horizontal flight of a helicopter directly depends on the design of the fuselage and other non-lifting elements, and accordingly, on parasite drag. Therefore, the desire to reduce parasite drag is expected and understandable. Helicopter parasite drag reduction was hailed as one of the key topics of the Seventh Clean Sky Framework Conference. For sixty years of research on this topic, a tremendous amount of experience has been accumulated. In particular, it was found that the main contributors to the total parasite drag of the helicopter were the main rotor hub and swashplate. The subject matter of this article is the study of the parasite drag of the hub and swashplate of a medium passager/transport helicopter Mi-8/17. This study aimed to develop methods to reduce the parasite drag of the Mi-8/17 helicopter. Mi-8/17 is the most mass-produced twin-engine helicopter in the world. Currently, more than 4,5 thousand units are in operation around the world. Therefore, the task of reducing parasite drag for this helicopter is very relevant. Modern methods of computation fluid dynamics (CFD) are used. Modern methods of computational fluid dynamics with an acceptable degree of accuracy make it possible to consider the interference phenomena of the components of the hub, swashplate, and helicopter fuselage, which is not always possible, to obtain correctly during expensive wind tunnel tests. During the work, the following results were obtained. An analysis was made of the contribution of each element of the design of the hub and the main rotor swashplate to the total parasite drag. A method for reducing the parasite drag of a helicopter using a mast fairing is proposed. Several variants of the mast fairing were considered, and the most effective one was chosen. The effect, as well as its degree of influence, of the airflow blown by the fan cooling the air-oil radiators, on the general parasite drag of the helicopter was revealed. The results of the studies, given in this article have been implemented in the production.
A Structural Model Explaining the Effect of Cognitive Emotion Regulation on the Fear of Cancer Recurrence in Breast Cancer Survivors: the Mediating Roles of Illness Perception and Psychological Well-being
Authors: Hosseini Sedigheh , Salehi Mahdiee , Jadidi Mohsen , Aghili Mahdi
Published: May 2023

Background: Fear of cancer recurrence (FCR) in cancer patients, including those with breast cancer is a special and highly conscious experience having bearing on emotional, cognitive and behavioral domains. This study examines the effect of cognitive emotion regulation on FCR with the mediation of illness perception and psychological well-being in breast cancer survivors in a structural model.
Methods: The population of this study included all women with breast cancer who were referred to Cancer Institute of Iran for their regular checkups in the spring and summer of 2022. 300 patients were recruited based on convenience sampling. They completed the validated questionnaires online for FCR, cognitive emotion regulation, illness perception and psychological well-being. Data were analyzed by using Pearson's correlation coefficient and structural equation modeling analysis.
Results: The findings indicated the model did fit the data. In addition to the direct effect of adaptive and maladaptive strategies of cognitive emotion regulation on FCR, the indirect effect of adaptive strategies on FCR through psychological well-being (β=0.148, p=0.001) and illness perception (β=0.233, p=0.001) was negative and significant. Furthermore, the indirect effect of maladaptive strategies on FCR through psychological well-being (β=0.109, p=0.001) and illness perception (β=0.212, p=0.001) was positive and significant. Therefore Psychological well-being and illness perception negatively and significantly mediated the effect of adaptive strategies on FCR and positively and significantly mediated the effect of maladaptive strategies on FCR.
Conclusion: Patients who possess adaptive strategies of cognitive emotion regulation, less-threatening perception of illness and higher psychological well-being were exposed less to FCR. Psychological interventions for strengthening these factors in breast cancer survivors are suggested.
РОЛЬ МАРКЕТИНГУ У ПОВОЄННОМУ ВІДНОВЛЕННІ ПАРТНЕРСЬКИХ ВІДНОСИН НА РИНКУ В2В
Authors: Ярош-Дмитренко Людмила
Published: May 2023

Маркетинг може відігравати вирішальну роль у відновленні партнерських відносин на ринку B2B після війни. Зміцнюючи довіру, сприяючи комунікації, відновлюючи стосунки, пропонуючи стимули та демонструючи цінність, маркетинг може допомогти об'єднати компанії та створити світле майбутнє для всіх учасників. Маркетинг може допомогти побудувати довіру між компаніями, сприяючи прозорості та чесності. Це можна зробити, обмінюючись інформацією про продукти та послуги, ціни та інші аспекти бізнесу, які можуть мати відношення до партнерства. Метою дослідження є ідентифікація ключових особливостей реалізації та ролі маркетингу у повоєнному відновленні партнерських відносин на ринку В2В. Менеджмент повинен інтегрувати процеси, які забезпечують ринкову культуру, і, відповідно до цього, відрегулювати адекватність встановлених стратегій, забезпечення якості та відповідну ІКТ-підтримку потоку інформації для створення конкурентної переваги на ринку та забезпечення успішних бізнес-процесів.
ANALYSIS OF OPEN INFORMATION PROVISION OF ORGANIZATIONAL SUPPORT OF PRIVATE ENTREPRENEUR ACTIVITY
Authors:   Lviv Polytechnic National University, Kolodka Roksolana , Vovk Nataliia ,   Lviv Polytechnic National University
Published: May 2023

The relevance of the topic is determined by the urgent need to use modern information technologies in various spheres of activity. One of the urgent needs of using online services in the field of economy and business is not only the development of information infrastructure, but also the establishment of communication in the communication system "enterprise – consumer – state". The purpose of the study is the analysis of available open information resources used by natural person’s entrepreneurs for document and reporting support. Information technology (IT) is an integral part of modern business, and Ukrainian enterprises are no exception. Some of the specifics of the use of IT in the activities of Ukrainian enterprises may include software development; cloud computing; outsourcing services; remote work and e-commerce. The article examines the peculiarities of using elements of open information support in the activities of individual entrepreneurs as one of the e-commerce components. A review of scientific and educational sources has shown that the issue of promoting the activities of organizations of various types and forms of ownership is quite relevant today and has been studied at a sufficient scientific level. The study presents scientific sources analysis from two directions: sources that consider the means of information support for conducting business as one of the methods of improving the document-reporting activity of individual entrepreneurs and sources that highlight the issue of Internet marketing application. Such an analysis is conditioned by the final recommendations of the authors regarding the expansion of the range of services in the information provision of the activities of private enterprises. The article provides an analysis of Ukrainian open information services used by individual entrepreneurs. The authors emphasized that such resources do not perform an advertising and communication function to make the work of entrepreneurs much easier. In the conclusions, it is proposed to expand the information provision of the activities of private entrepreneurs using Internet sites.
INNOVATIVENESS OF NATIONAL ECONOMIES: METHODICAL FOUNDATIONS OF EU COUNTRIES AND UKRAINE COMPARISON
Authors:   Priazovsky State Technical University, Diatlova Valentyna , Diatlova Yuliia ,   Zaporizhzhia National University, Fokina-Mezentseva Katerina ,   State University of Trade and Economics
Published: May 2023

Methodical foundations for determining the level of national economies innovativeness were systematized in the article. The relevance of the study is due to the necessity and importance of conducting a comparative assessment to determine the benchmarks for the direction of Ukraine European integration. It has been found that in global and European practice, methods for assessing the innovative development of countries (Global Innovation Index, Global Competitiveness Index, European Innovation Scoreboard) are used, which are based on the use of a certain list of individual and group indicators followed by the calculation of a complex indicator (combined index). In the European Innovation Scoreboard, countries are divided into four groups: innovation leaders, strong innovators, moderate and new innovators. According to the data of 2022, the best indicator of innovativeness has Sweden, Finland, Denmark, the Netherlands and Belgium, which are defined as innovative leaders. Strong innovators are Ireland, Luxembourg, Austria, Germany, Cyprus and France, moderate – Estonia, Slovenia, Czech Republic, Italy, Spain, Portugal, Malta, Lithuania and Greece. Ukraine, as well as Hungary, Croatia, Slovakia, Poland, Latvia, Bulgaria and Romania, is included in the group of new innovators. The difference in innovation efficiency between EU countries remains, but it is gradually decreasing. The level of innovation indicators of Ukraine is lower compared to EU member states. The use of indicators of innovativeness, which characterize different spheres, provides an opportunity to carry out their comparative assessment, in particular with regard to foreign trade. The development of foreign trade as a sphere of the national economy depends on product and technological innovations. Using data from the European Innovation Scoreboard to compare the innovativeness of countries is more acceptable from the point of view of realizing Ukraine's intention to integrate into the EU in the post-war period. All the more, methodologically, the European Innovation Scoreboard is constantly being improved thanks to the expansion of the list of group and individual indicators, in particular in 2021 regarding digitalization and environmental sustainability. This approach demonstrates new priorities of European policy, which must be taken into account by Ukraine in order to realize its integration aspirations.
SOCIAL RESPONSIBILITY OF BUSINESS IN CONDITIONS OF FULL-SCALE WAR
Authors:   University of Customs and Finance, Ilchenko Viktoriia , Kravchuk Yana ,   University of Customs and Finance
Published: May 2023

The article considers the social responsibility of the enterprise as the necessity and desire of the business to do good and important things for the benefit of its employees, society and the community in the conditions of a full-scale invasion of Ukraine. The issue of the social strategy of the enterprise, namely overcoming the pressing problems of the existence of the business itself, as well as society and the state as a whole, has been investigated. Considering the complex modern operating conditions of organizations and institutions in Ukraine, we are talking about reconfiguration of business processes, ensuring safety for the employees of institutions and agreements with international partners regarding the supply of necessary raw materials for the preservation of the sustainable development of the company. Examples of successful companies that were able to find their way and set up the production of products not only for society, but also for the military as quickly as possible are considered; plan the production of new alloys/products, create new warehouses and sites, develop new formulas and continue production without waiting for international partners. The development of corporate social responsibility in Ukraine, obstacles to its development and how many enterprises are implementing CSR in the country are also considered in more detail. With new opportunities and programs from international partners, Ukrainian business is developing more and more, which contributes to the improvement of society's life, the exit from the socio-economic crisis and the support of the country as a whole. Paying attention to the problems that hinder the development of social responsibility in the country, providing enterprises with raw materials for stable production, unstable logistics and providing the population with safe workplaces. Attention was paid to the issue of corporate social responsibility, both its external and internal aspects, in the war and post-war period, as well as measures of financial and volunteer support of international business partners who also contributed to the support of our country.
STATISTICAL ANALYSIS OF HOUSEHOLD INCOMES AND EXPENSES
Authors:   Dmytro Motornyi Tavria State Agrotechnological University, Zavadskykh Hanna , Tebenko Vita ,   Dmytro Motornyi Tavria State Agrotechnological University, Lysak Oksana ,   Dmytro Motornyi Tavria State Agrotechnological University
Published: May 2023

The article presents the results of an analytical and statistical study of the dynamics and structure of incomes and expenses of Ukrainian households. The informational basis of the study is the data of the State Statistics Service of Ukraine regarding household incomes and expenses for 2017–2021. The territorial distribution and quantitative composition of domestic households are characterized. An analysis of the structure of aggregate income resources of households was made. The dynamics, trends and problematic aspects of household income generation were studied. Real incomes of households were compared with their subsistence minimum. The analysis showed that the average monthly amount of total household resources in Ukraine during 2017–2021 showed positive dynamics. Household incomes differ significantly across regions of the country. Despite the constant and rather significant growth of the nominal incomes of Ukrainian households, their real incomes grow much more slowly, which is due to the influence of inflation. The study of expenses as a component of the assessment of the financial condition of households made it possible to single out the following features in the structure of expenses of domestic households: a high share of consumer expenses, and accordingly, a low share of non-consumer expenses, in particular, investment expenses; a high share of expenditure on food products. An analysis of the dynamics and structure of total household expenses was carried out. It is proved that the structure of domestic household expenses is quite typical for post-Soviet countries. With the help of the Engel curve, the dynamics of the current financial provision of household expenses is illustrated. It was established that the key factor affecting the formation of household expenses is their income. It has been proven that the financial condition of households is affected not only by the amount of income, but also by the level of their use. An imbalance in the structure of income and expenses of domestic households was revealed. It is noted that the financial condition of domestic households did not significantly improve during the research period.
DEVELOPMENT OF THE BANKING SECTOR AS A KEY LINK OF THE FINANCIAL SYSTEM UNDER MARTIAL LAW
Authors:   Ivan Franko National University of Lviv, Sytnyk Nataliia , Boliukh Diana ,   Ivan Franko National University of Lviv
Published: May 2023

The article is devoted to the study of performance indicators of Ukrainian banking institutions under martial law. The banking sector is a key link that ensures the development of the financial system. Therefore, it is important to summarise the current trends in the functioning of the banking system during martial law. The banking industry has faced many challenges, but is still functioning thanks to prompt decisions taken by the National Bank of Ukraine and the authorities. The article examines the new rules and legislative changes to the activities of banks adopted by the NBU after the introduction of martial law. In particular, the discount rate was increased (up to 25%) as one of the most important monetary instruments used by the NBU in implementing its monetary policy. The dynamics of changes in Ukrainian banking institutions is presented. The article monitors lending by domestic banks to other economic entities and the volume of additional resources attracted by banking institutions of Ukraine. It is concluded that despite active military operations and an unstable macroeconomic situation, lending to business entities tends to grow, but there is a slight slowdown in lending to households. Deposits from both households and the corporate sector are also growing. This demonstrates the confidence of businesses and households in the banking system, despite the difficult economic situation in Ukraine. The article identifies a problem in the active operations of domestic banks, in terms of the share of non-performing loans, with a deterioration in the value of this indicator. The author analyses the volumes of income and expenses, which tend to grow. During the war, the profit of Ukrainian banks decreased by 3 times compared to the previous year. The indicators of profitability on assets (ROA) and capital (ROE) of Ukrainian banks were studied. Currently, there is a decrease in their value, which is not positive. The reason for the decline in bank profitability was the increase in provisioning due to the incurred and expected losses as a result of the war. Further prospects for the development of the domestic banking sector in the context of war are outlined.
Use of equine chorionic gonadotropin (eCG) in Mashona heifers, under a J-Synch synchronization protocol, and its effect in pregnancy rate
Authors: Sánchez Dávila Fernando , Martínez_Zuazua Viviana Aurora , Ledezma-Torres Rogelio Alejandro , Mauleón-Tolentino Keyla , Zapata-Campos Cecilia C. , Luna-Palomera Carlos , Garza-Brenner Estela
Published: May 2023

O
Objective: To evaluate the J-Synch protocol with two eCG doses in beef heifers during the summer in northeastern Mexico.
Design/Methodology/Approach: 218 heifers (109/treatment) with a body weight of 350 ± 12.1 kg were used. A J-Synch protocol was applied in order to evaluate two eCG doses: T1 (250 IU) and T2 (300 IU). Subsequently, the total number of heifers from both treatments were inseminated at a fixed time (FTAI): 72 h after removing the device.
Results: No significant differences (p>0.05) were recorded in the estrous percentage at first service (T1 = 91%; T2 = 96%) and in the repeating heifers (T1 = 25.2%; T2 = 19.2%). The insemination technician and coat color variables impacted the estrous percentage in repeating heifers. The pregnancy percentage at first service was 64.8% and 70.1% for T1 and T2 (p>0.05), respectively. The insemination technician had a variable effect on the pregnancy percentage, from 63.4% (the best-qualified technician) to 48.6% (the technician who obtained the lowest percentage).
Study Limitations/Implications: The pregnancy rate in beef heifers will depend mainly on the experience and skill of the insemination technician.
Findings/Conclusions: The same results were obtained regarding the presence of estrous and pregnancy in beef heifers during the summer season, either with 250 or 300 IU of eCG.