bluuebunny/crossref_metadata_2025 huggingface dataset:
Nesterov-accelerated Adaptive Moment Estimation NADAM-LSTM based text summarization1
Authors: Radhakrishnan P. , Senthilkumar G.
Published: February 2024

Automatic text summarization is the task of creating concise and fluent summaries without human intervention while preserving the meaning of the original text document. To increase the readability of the languages, a summary should be generated. In this paper, a novel Nesterov-accelerated Adaptive Moment Estimation Optimization based on Long Short-Term Memory [NADAM-LSTM] has been proposed to summarize the text. The proposed NADAM-LSTM model involves three stages namely pre-processing, summary generation, and parameter tuning. Initially, the Giga word Corpus dataset is pre-processed using Tokenization, Word Removal, Stemming, Lemmatization, and Normalization for removing irrelevant data. In the summary generation phase, the text is converted to the word-to-vector method. Further, the text is fed to LSTM to summarize the text. The parameter of the LSTM is then tuned using NADAM Optimization. The performance analysis of the proposed NADAM-LSTM is calculated based on parameters like accuracy, specificity, Recall, Precision, and F1 score. The suggested NADAM-LSTM achieves an accuracy range of 99.5%. The result illustrates that the proposed NADAM-LSTM enhances the overall accuracy better than 12%, 2.5%, and 1.5% in BERT, CNN-LSTM, and RNN respectively.
Function adjustment of economic law under industrial new normal environment based on improved neural network
Authors: Xu Xiaohui
Published: February 2024

In the new normal period, the trend changes and adjustments of the environment such as international trade, production capacity, labor supply and resource constraints have put forward new requirements for China’s industrial development, which have brought new challenges and given new opportunities. In the new normal stage where economic growth continues to decline, industrial growth is still an important support for economic growth. The advancement of industrial technology is the main driving force for improving the total factor productivity of the industrial industry. Therefore, the most important thing to promote industrial growth is to upgrade the level of industrial technology. In response to the above-mentioned problems, this paper analyzed the relationship between industrial technology and industrial output in the new normal environment by using the BP neural network (BPNN) algorithm. The connection between the two has been found, which provided a clear direction for the functional adjustment of economic law. Experimental studies have shown that there is a positive relationship between industrial technological progress and industrial output. When other conditions are the same, and when the non-new normal is selected, industrial output increases by about 0.36% for every 1% increase in industrial technological progress. When choosing to be in the new normal, industrial technological progress has a higher impact on industrial output. For every 1% increase in technological progress, industrial output increases by about 0.39%.
Based on CBB-yolo rusted workpiece surface roughness detection
Authors: Song Kun , Yi Huai’an , Song Xinru , Shu Aihua , Huang Jiefeng
Published: February 2024

The surface roughness of the workpiece is one of the important indicators to measure the quality of the workpiece. Vision-based detection methods are mainly based on human-designed image feature indicators for detection, while the self-extraction method of milling surface features based on deep learning has problems such as poor perception of details, and will be affected by surface rust. In order to solve these problems, this paper proposes a visual inspection method for surface roughness of milling rusted workpieces combined with local equilibrium histogram and CBB-yolo network. Experimental results show that local equilibrium histogram can enhance the milling texture and improve the accuracy of model detection when different degrees of rust appear on the surface of the milled workpiece. The detection accuracy of the model can reach 97.9%, and the Map can reach 99.3. The inference speed can reach 29.04 frames per second. And the inspection of workpieces without rust, this method also has high detection accuracy, can provide automatic visual online measurement of milling surface roughness Theoretical basis.
Quality prediction of kiwifruit based on transfer learning
Authors: Zhou Yancong , Ma Yumei , Sun Xiaochen , Peng Aihuan , Zhang Bo , Gu Xiaoying , Wang Yan , He Xingxing , Guo Zhen
Published: February 2024

Kiwifruit has a high decay rate, in part because quality changes during storage cannot be easily monitored in real time. In order to better monitor the shelf life of kiwifruit and understand the quality changing process during storage, internal quality indexes such as hardness, respiratory intensity and TSS(Total Soluble Solid) were considered into the prediction models. The prediction models were constructed based on BPNN (Back Propagation Neural Network), Random Forest (RF) and XGBoost (eXtreme Gradient Boosting) respectively. And transfer learning algorithm was used to construct the quality prediction models with BPNN, RF, and XGBoost algorithms as the base learner. In the experiments, sample data were augmented by adding Gaussian noise, which effectively prevented the model from over-fitting. The experimental results showed that the prediction accuracy of each index based on transfer learning was better than that of individual BPNN, RF and XGBoost. Moreover, the average prediction accuracy of the models based on transfer learning was 96.2%, and that of respiratory intensity was as high as 99.4%. Therefore transfer learning can be used to effectively analyze and predict changes of kiwifruit quality indexes during storage.
RETRACTED: Domain graph attention neural network: A new mechanical fault diagnosis method with few samples
Authors: Zhang Hongli , Wu Guangyu , Zhao Dongfang , Chen Yesheng , Wei Dou , Liu Shulin , Jiang Lunchang
Published: February 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Optimal demand management in the electrical microgrid considering energy market prices uncertainty
Authors: Yang Ying , Liu Shaoshuai , Wang Xiaolong , Guo Xiaopeng
Published: February 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Three-way concepts in the interval-valued formal contexts
Authors: Zhao RongLe , Tang Xiao
Published: February 2024

The theory of interval-valued formal contexts was originally derived from fuzzy formal contexts. While the fuzzy formal context can extract information from fuzzy formal contexts more precisely, it lacks theoretical analysis of formal contexts with interval-valued data types. This paper incorporates the three-way concept into interval-valued formal contexts, and partitions the interval value range of objects and attributes into three regions utilizing the notion of three-way decisions. On the basis of interval-valued information granules, the concepts of negative operators and interval-valued three-way concepts are proposed. They can conduct profounder knowledge discovery in interval-valued formal contexts, and a generation algorithm of interval-valued three-way concepts is devised. Finally, the effectiveness of the algorithm is substantiated through experimentation
STFormer: A dual-stage transformer model utilizing spatio-temporal graph embedding for multivariate time series forecasting
Authors: Xiao Yuteng , Liu Zhaoyang , Yin Hongsheng , Wang Xingang , Zhang Yudong
Published: February 2024

Multivariate Time Series (MTS) forecasting has gained significant importance in diverse domains. Although Recurrent Neural Network (RNN)-based approaches have made notable advancements in MTS forecasting, they do not effectively tackle the challenges posed by noise and unordered data. Drawing inspiration from advancing the Transformer model, we introduce a transformer-based method called STFormer to address this predicament. The STFormer utilizes a two-stage Transformer to capture spatio-temporal relationships and tackle the issue of noise. Furthermore, the MTS incorporates adaptive spatio-temporal graph structures to tackle the issue of unordered data specifically. The Transformer incorporates graph embedding to combine spatial position information with long-term temporal connections. Experimental results based on typical finance and environment datasets demonstrate that STFormer surpasses alternative baseline forecasting models and achieves state-of-the-art results for single-step horizon and multistep horizon forecasting.
Optimizing market risk evaluation of small and medium sized enterprises through hamacher interactive power geometric technique under uncertainty
Authors: Du Wei , Yang Fan
Published: February 2024

Compared with large enterprises, the development scale and organizational structure of small and medium-sized enterprises are insufficient, which brings certain limitations to the development of small and medium-sized enterprises in China. In order to promote the long-term development of small and medium-sized enterprises in the new era, it is necessary to require enterprise leaders to innovate marketing plans, strengthen risk management of enterprises, and enhance their strength in market competition. The market risk evaluation of small and medium sized enterprises (SMSEs) in the new era is a multiple-attribute decision-making (MADM). The IVIFSs are employed as the tool for portraying uncertain information during the market risk evaluation of SMSEs in the new era. In this paper, the interval-valued intuitionistic fuzzy (IVIF) Hamacher interactive power geometric (IVIFHIPG) technique is addressed based on IVIF Hamacher interactive weighted geometric (IVIFHIWG) technique and power geometric (PG) technique. Some properties of IVIFHIPG technique were addressed. Then, the IVIFHIPG technique is employed to manage MADM under IVIFSs. Finally, an example for market risk evaluation of SMSEs in the new era is employed to verify the IVIFHIPG technique. Thus, the main contributions of this paper are addressed: (1) the IVIFHIPG technique is addressed based on IVIFHIWG technique and PG technique; (2) the IVIFHIPG technique is came up with to manage the MADM under IVIFSs; (3) a numerical example for market risk evaluation of SMSEs in the new era has been came up with to show the IVIFHIPG technique; and (4) some comparative analysis is addressed to verify the I IVIFHIPG technique.
The Degree of Cardiovascular Autonomic Dysfunction is not Different in GBA-Related and Idiopathic Parkinson’s Disease Patients: A Case-Control Instrumental Evaluation
Authors: Giannini Giulia , Minardi Raffaella , Barletta Giorgio , Cani Ilaria , Cecere Annagrazia , Baldelli Luca , Fiorentino Alessia , Guaraldi Pietro , Sambati Luisa , Capellari Sabina , Cortelli Pietro , Carelli Valerio , Calandra-Buonaura Giovanna
Published: February 2024

Background:

Increased prevalence of cardiovascular autonomic failure might play a key role on Parkinson’s disease (PD) progression of glucocerebrosidase gene ( GBA)-mutated patients, determining a malignant phenotype of disease in these patients.

Objective:

To objectively characterize, for the first time, the cardiovascular autonomic profile of GBA-mutated patients compared to idiopathic PD patients by means of cardiovascular reflex tests (CRTs).

Methods:

This is a case-control (1 : 2) study on PD patients belonging to well-characterized prospective cohorts. For each PD patient carrying GBA variants, two idiopathic PD patients, matched for sex and disease duration at CRTs, were selected. Patients recruited in these cohorts underwent a complete clinical and instrumental evaluation including specific autonomic questionnaires, CRTs and extensive genetic analysis.

Results:

A total of 23 GBA-PD patients (19 males, disease duration 7.7 years) were included and matched with 46 non-mutated PD controls. GBA-mutated patients were younger than controls (59.9±8.1 vs. 64.3±7.2 years, p = 0.0257) and showed a more severe phenotype. Despite GBA-mutated patients reported more frequently symptoms suggestive of orthostatic hypotension (OH) than non-mutated patients (39.1% vs 6.5%, p = 0.001), the degree of cardiovascular autonomic dysfunction, when instrumentally assessed, did not differ between the two groups, showing the same prevalence of neurogenic OH, delayed OH and cardiovascular reflex impairment (pathological Valsalva maneuver).

Conclusion:

GBA-PD patients did not show different instrumental cardiovascular autonomic pattern than non-mutated PD. Our findings suggested that symptoms suggestive of OH should be promptly investigated by clinicians to confirm their nature and improve patient care and management.
Relationship between serum vitamin D levels and the prevalence of knee osteoarthritis: A retrospective study on 3424 subjects
Authors: Tekeli Seçkin Özgür , Köse Özkan , Yapar Dilek , Tekeli Feyza Yağmur , Asoğlu Mehmet Melih , Kartal Emre Mücahit
Published: February 2024

BACKGROUND: The extent of the association between vitamin D deficiency and knee osteoarthritis remains inadequately understood. OBJECTIVE: This study aimed to elucidate the relationship between vitamin D levels and knee osteoarthritis through a cross-sectional analysis. METHODS: This retrospective study involved an analysis of knee radiographs and serum 25-hydroxyvitamin D3 (25-(OH) vitamin D3) levels in a cohort of 3424 individuals (2901 women and 523 men). Knee osteoarthritis severity was evaluated using the Kellgren-Lawrence radiological scoring system. RESULTS: Of the participants, 49.2% (n= 1,683) were diagnosed with knee osteoarthritis. Among these patients, the levels of adjusted 25-(OH) vitamin D3 were significantly lower (p< 0.001). Regression analysis revealed a significant association between vitamin D deficiency and knee osteoarthritis, with an adjusted odds ratio (OR) of 1.7 (95% CI: 1.5–2.0; p< 0.001). Notably, a stronger association was observed between vitamin D deficiency and knee osteoarthritis in women under 65 compared to those aged 65 and above. CONCLUSIONS: The findings of this study indicate a higher prevalence of vitamin D deficiency in patients with knee osteoarthritis. Maintaining adequate serum 25-(OH) vitamin D3 levels may prevent knee osteoarthritis, especially in women below 65.
Impact of different oxygen therapy strategies on the risk of endotracheal reintubation in mechanically ventilated patients: A systematic review and meta-analysis
Authors: Wang Wenhong , Zhang Zhenbo , Xia Fenbo
Published: February 2024

BACKGROUND: Mechanical ventilation (MV) is a crucial intervention for the support of patients with acute and severe respiratory failure in modern intensive care medicine. However, the mechanical forces resulting from the interplay between the ventilator and the respiratory system may cause pulmonary injury. OBJECTIVE: To compare the effects of high-flow nasal cannula (HFNC) therapy and other oxygen therapy modalities on the risk of endotracheal reintubation in mechanically ventilated patients after extubation in the intensive care unit (ICU). METHODS: An electronic search was carried out across various databases including PubMed, Embase, Ovid, Medline, Cochrane Library, Embase, VIP, and Wanfang. The objective of this search was to locate prospective randomized controlled trials that examined the effects of multiple oxygen therapy approaches on the incidence of reintubation in patients in the ICU after undergoing mechanical ventilation. The meta package in R language was used to analyze parameters adopted by the included studies such as reintubation rate, mortality rate, and length of hospital stay. RESULTS: This study enrolled 22 articles, involving 4,160 participants, with 2,061 in the study group and 2,099 in the control group. Among these, 20 articles presented data on the reintubation rate of the patients included with an odds ratio (OR) of 0.90 (95% CI: 0.74, 1.09) for HFNC and an OR of 1.77 (95% CI: 0.93, 3.38) for HFNC in the chronic obstructive pulmonary disease (COPD) subgroup. Moreover, 10 articles assessed the incidence of respiratory failure after extubation, revealing an OR for HFNC was 0.68 (95% CI: 0.55, 0.84) using a fixed-effects model. Nine articles addressed ICU mortality, while 13 pieces of literature examined hospital mortality. HFNC showed no significant impact on either ICU mortality or hospital mortality. CONCLUSION: HFNC therapy markedly reduces the incidence of respiratory failure in mechanically ventilated patients following extubation in the ICU. Furthermore, it specifically reduces the risk of reintubation in patients diagnosed with COPD.
HPLC method for the determination of thymoquinone in growth cell medium
Authors: Dedić Mirza , Omeragić Elma , Imamović Belma , Bilajac Esma , Mahmutović Lejla , Glamočlija Una , Bečić Ervina
Published: February 2024

BACKGROUND: Preclinical drug testing requires in vitro and in vivo assessments that are vital for studying drug pharmacokinetics and toxicity. Distinct factors that play an important role in drug screening, such as hydrophobicity, solubility of the substance and serum protein binding can be challenging by inducing result inconsistencies. Hence, establishing accurate methods to quantify drug concentrations in cell cultures becomes pivotal for reliable and reproducible results important for in vivo dosing predictions. OBJECTIVE: This research focuses on developing an optimized analytical approach via high-pressure liquid chromatography (HPLC) to determine thymoquinone (TQ) levels in monolayer cell cultures. METHODS: The method’s validation adheres to the International Council for Harmonisation (ICH) guideline M10, ensuring its acceptance and applicability. Using an HPLC system with a Diode Array Detector (DAD), the study fine-tuned various parameters to achieve an efficient separation of TQ. Validation covered specificity, sensitivity, matrix effects, linearity, precision, and accuracy, alongside assessing TQ stability in RPMI-1640 medium. RESULTS: The HPLC method exhibited remarkable TQ specificity, free from interfering peaks at the analyte retention. Sensitivity analysis at the lower limit of quantification (LLOQ) revealed 5.68% %CV and 98.37% % mean accuracy. Matrix effect evaluation showcased accuracy within 85–115%. Linearity spanned in the concentration range of 2–10 μM with a correlation coefficient (r2) of 0.9993. Precision and accuracy were aligned with acceptance criteria. The proposed method was found to be greener in terms of usage of persistent, bioaccumulative, and toxic chemicals and solvents, corrosive samples, and waste production. CONCLUSION: The developed HPLC-DAD method emerges as specific, accurate, sensitive, and reliable for TQ determination in cell cultures. It ensures robust TQ quantification, enhancing precise in vitro assessments and dependable dosing predictions for in vivo studies. Further research is advocated to investigate TQ’s stability across diverse environmental conditions.
An integrated model of workplace spirituality: The past, present and future – A systematic literature review
Authors: Al Iman Budiman , Tjahjono Heru Kurnianto , Qamari Ika Nurul
Published: February 2024

BACKGROUND: Because of the continually changing nature of work, workplace spirituality (WPS) has drawn more attention in recent years from studies, organizations, and both public and private sectors. Organizations strive to enhance employee well-being and general job satisfaction while developing a feeling of community inside the workplace through fostering WPS. OBJECTIVE: The study aims to assess the literature on WPS in an attempt to provide a broader perspective on the impact of spirituality in the workplace to strengthen and comprehend how an individual or collective spirituality is integrated and manifested in the workplace. METHODS: The literature was reviewed between 1994–2022 (including articles published online in 2023) and the deductive method was used. RESULTS: As a new and significant contribution to knowledge in this study, maintaining a work environment of otherworldliness can help to advance work commitment (sympathy, mindfulness, significant work). Human resources practices should consider including care contemplation as an individual development program that results in increased empathy for others to support care and sympathy in the workplace. WPS centers around the humanistic idea of representatives in the work environment regarding how they experience a feeling of association, which means satisfaction and arrangement with the working environment. There are three ways to look at WPS: individual, authoritative, and intuitive. CONCLUSION: This study has a significant contribution to knowledge enhancement and development. Such an approach to the development of a spirituality program within an organization can make a positive contribution to the improvement of business achievement and competitive gain. This model has some implications for organizational management where an internal spirituality program is desired. Future and additional research on model assessment under the same topic is strongly recommended.
The ACGIH TLV for lifting: Estimated TLVs for torso asymmetry beyond 30 degrees
Authors: Jorgensen Michael J. , Hafez Khaled , Hakansson Nils A.
Published: February 2024

BACKGROUND: The American Conference of Governmental Industrial Hygienists (ACGIH) Threshold Limit Values (TLVs) for Lifting is a manual material handling (MMH) assessment method to identify weight limits that nearly all workers may be exposed to without developing work-related low back disorders (LBD). However, this assessment method only applies to lifting with the torso within 30° asymmetry of the sagittal plane. OBJECTIVE: Estimate TLV weight limits while lifting with torso asymmetry greater than 30° beyond the sagittal plane. METHODS: Lifting tasks were performed from various horizontal and vertical locations, at torso asymmetry angles of 0°, 15°, 30°, 45°, 60°, 75° and 90°, using ACGIH identified TLVs. Validated MMH assessment methods (NIOSH Lifting Equation, Ohio State University LBD Risk Model) were utilized to estimate TLVs at torso asymmetries greater than 30°. RESULTS: The current ACGIH TLVs resulted in low- to moderate-risk risk levels for torso asymmetries from 0° to 30°, and the risk incrementally increased as torso asymmetry increased to 90°. With the intention to keep the risk levels to that found at 30° torso asymmetry, lower TLV weight limits in the vertical and horizontal zones investigated were estimated for torso asymmetries from 45° to 90°. The resulting adjusted TLVs were consistent with weight limits identified for similar lifting conditions from other assessment methods that account for torso asymmetry. CONCLUSIONS: This research found current ACGIH-defined TLVs possess less than high-risk for LBD, and provided guidance to practitioners for reduced TLVs when torso asymmetry is greater than 30° from the sagittal plane.
Las reglas fiscales subnacionales en Colombia: antecedentes y lecciones aprendidas
Authors: Pérez-Valbuena Gerson Javier , Melo-Becerra Ligia Alba , Ayala-García Jhorland , Granger-Castaño Clark Junior , Bonet-Morón Jaime Alfredo , Rodríguez-Niño Norberto , Ricciulli-Marín Diana Carolina , Barrios-Bueno Paula , Jiménez Juan Pablo , Ruelas Ignacio , Letelier Leonardo
Published: February 2024

La implementación de las reglas fiscales subnacionales en Colombia ocurrida entre 1997 y 2003 tuvo como propósito recuperar la sostenibilidad fiscal de las entidades territoriales puesta en riesgo con el aumento del gasto, la deuda y el déficit, hechos que coincidieron con la profundización de la descentralización fiscal que dejó la Constitución de 1991. Este documento tiene el propósito de hacer una revisión de estas medidas, analizar su papel en la relación que existe entre las transferencias y las finanzas de los gobiernos subnacionales y en la ciclicidad de la política fiscal de los departamentos, revisar los efectos del Covid-19 en las finanzas territoriales que llevaron a la suspensión de las reglas fiscales y hacer una revisión de las experiencias internacionales en cuanto a su estructura y funcionamiento. Los resultados muestran que la existencia y cumplimiento de las reglas fiscales por parte de municipios y departamentos está relacionada con la recuperación de la sostenibilidad fiscal territorial, con reducciones en la prociclicidad de la política fiscal y con el fortalecimiento de la relación entre las entidades territoriales y el gobierno nacional a través de las transferencias. De las buenas prácticas internacionales identificadas se destacan las válvulas de escape, el ajuste al ciclo económico y la coordinación fiscal intergubernamental.
Interaction between Migration and Economic Growth through Unemployment in the Context of Political Instability in the MENA Region
Authors: Mtiraoui Abderraouf
Published: February 2024

This article aims to elucidate the direct and indirect repercussions of migration on economic growth, specifically examining its interaction with unemployment within a backdrop of political instability. Employing a simultaneous equation model, our study spans the period from 1990 to 2020, providing comprehensive insights into the intricate dynamics at play. The findings affirm a global resonance, particularly resonating across the majority of Middle East and North Africa (MENA) nations. Our empirical contribution endeavors to underscore the synergies between political instability and migration while unraveling the nuanced interplay among migration, unemployment, and economic growth within the confines of our study region. This analysis not only contributes to the existing body of knowledge but also underscores the complexity and multifaceted nature of these interactions in the MENA region.
A rare case of streptococcal pharyngitis in an adult male causing hemophagocytic lymphohistiocytosis
Authors: Narula Shubhank , Agarwal Pankaj Kumar , Garg Ambuj
Published: February 2024

Hyperinflammatory responses due to cytokine storms involve multiple systems in hemophagocytic lymphohistiocytosis (HLH) leading to morbidities. Multiple bacterial etiologies have been suggested as a cause of secondary HLH but streptococcal infection has only been reported in pediatric cases. Streptococcus has been considered a notorious pathogen due to its ability to interfere with host immunity through the phenomenon of molecular mimicry. This case report shows the sequence of events post-streptococcal pharyngitis in a 28-year-old male, which lead to HLH and fatality to life, and how a timely intervention of steroids salvaged the patient.
АЛЬТЕРНАТИВНІ МОДЕЛІ УПРАВЛІННЯ ЛАНЦЮГАМИ ДОДАНОЇ ВАРТОСТІ МІКРО- ТА МАЛИХ АГРОВИРОБНИКІВ
Authors: Маєвська Наталія
Published: February 2024

У статті досліджено моделі управління ланцюгами доданої вартості в сегменті мікро та малих виробників агропродовольства в умовах повномасштабних військових дій в Україні та запропоновано альтернативну модель управління, що дозволяє диференціювати канали розподілу та максимізувати прибуток. За традиційного підходу до управління ланцюгами постачання та розподілу значна частина прибутку залишається у великих роздрібних мереж, натомість агровиробники, особливо мікро та малі форми господарювання, є найслабшою ланкою, що володіє мінімальною ринковою владою, де відповідно, залишається найменша частка маржі ланцюга. Соціологічне дослідження проведене у 2022-2023 рр. серед керівників вітчизняних мікро та малих виробників агропродовольства показує, що такі ринкові фактори як розгалужені бізнес-зв’язки та доступ до регіональних об’єднань агровиробників, доступ до актуальної ринкової інформації та сучасних IT-технологій дозволяють швидко реагувати на ринкові виклики та утворювати нові форми економічної взаємодії, що дозволяють хеджувати ризики та отримувати більш стійкі конкурентні переваги.
АНАЛІЗ СУЧАСНОГО СТАНУ ПІДПРИЄМСТВ ТАРОПАКУВАЛЬНОЇ ГАЛУЗІ В УКРАЇНІ ТА ВИКЛИКИ РИНКУ
Authors: Луців Андрій
Published: February 2024

В рамках даної наукової статті, проаналізовано структуру та виклики таропакувальної галузі в сучасних умовах воєнного стану в Україні. Актуалізована видова класифікація підприємств за регіональними та продуктовими аспектами, виявлені основні проблеми та перспективи розвитку галузі. Досліджена важливість адаптації та інноваційного розвитку у відповідь на економічні та соціальні виклики сьогодення. Наголодується на необхідності галузевих досліджень для підвищення ефективності, конкурентоспроможності та прибутковості підприємств. У даній науковій статті проаналізовано значення галузі у світовій економіці, розглядаючи вплив глобальних тенденцій на український ринок упаковки. Визначені основні проблеми та перспективи подальшого розвитку в даній сфері в сучасних умовах воєнного стану та сформульовані перспективи подальших досліджень.
THE ROLE OF THE MOTIVATION SYSTEM IN THE STRATEGIC DEVELOPMENT OF AN ENTERPRISE
Authors: Таранич Оксана , Вишнівська Анна
Published: February 2024

The article is dedicated to the exploration of the role of the motivation system in the strategic development of a company and the formulation of practical recommendations for its sustainable growth through the combination of formal and informal motivational methods. It provides an overview of the concept, key functions, and methods of motivation within a company. It is noted that the motivation system in the strategic development of a company constitutes a set of interconnected elements and consists of external and internal motivation, which should be balanced. Employee motivation methods are grouped into four stimulating categories: economic incentives, goal-oriented management, job enrichment, and participation systems. The article forms a conception of an effective motivation system in the contemporary business environment. It identifies a close connection between the personnel motivation system and the corporate culture of the company, which shapes the management philosophy, mission, values, vision, career advancement policies, and the reserve of future leaders supporting a healthy socio-psychological climate within the team, preventing emotional burnout among workers. The necessity of forming a program of personnel changes for the development of highly qualified leaders, ready to solve complex tasks, and actively participate in the strategic development of the company is emphasized. The conclusion is drawn that the effectiveness of the motivation system depends on the specificity of the company, the atmosphere within the team, and the psychological portrait of the employees. According to global experience, the combination of material and non-material motivation methods yields the best results. The motivation system, like the corporate strategy of balanced development, is an essential tool for the strategic development of a company.
THE ROLE OF EUROPEAN INTEGRATION IN INNOVATION MANAGEMENT IN HIGHER EDUCATION
Authors: Тесленко Наталя
Published: February 2024

This article delves into the strategic imperative for Ukrainian higher education institutions (HEIs) to align with the European Education Area (EEA), a process underscored by the Ukrainian Strategy for the Development of Higher Education for 2022-2032. The integration into the EEA promises manifold advantages for Ukrainian education, economy, and society, including adherence to European standards, accreditation recognition, and expanded opportunities for students and educators. This paper conducts a comprehensive analysis of recent research and publications, highlighting the need for innovation in higher education to enhance the competitiveness of Ukrainian science in the European context. The article stresses the role of HEIs in forming an innovative infrastructure that interlinks their internal structure and external relations, thereby enhancing educational outcomes. The article identifies key unresolved issues, including the systematic and purposeful process of educational innovation required for effective integration into the EEA. The paper sets objectives focused on creating conditions for seamless integration into European educational standards and approaches. It also presents a detailed analysis of the European experience in innovation, highlighting various programs and areas that aid in the integration of European higher education. Furthermore, the article discusses the negative factors impacting innovation management in Ukrainian universities due to European integration, ranging from funding discrepancies to the impact of war. Conversely, it also outlines the strengths of Ukrainian universities, such as their resilient adaptability and strong STEM foundations, which can be leveraged in the context of European integration. In conclusion, the paper argues that the integration of Ukrainian higher education into the EEA is a strategic step that requires a comprehensive and systematic approach. It calls for future research to analyze the synergies and discrepancies between European and Ukrainian educational standards and to examine international risk management practices in educational governance.
AНAЛІЗУВAННЯ ПОТОЧНОГО СТAНУ УПРAВЛІННЯ КРЕДИТНИМ РИЗИКОМ БAНКІВ В УКРAЇНІ
Authors: Хомa Іринa , Aдaменко Дaр’я
Published: February 2024

Діяльність бaнківських устaнов нерозривно пов’язaнa з різними видaми ризиків, втрaти від яких можуть вплинути не лише нa фінaнсову стійкість конкретних бaнків, aле й нa зaгaльну економічну ситуaцію в крaїні тa нaвіть у світі, що ілюструється поточною фінaнсовою кризою. Тaким чином, вироблення ефективної системи упрaвління фінaнсовими ризикaми комерційного бaнку стaє вaжливим зaвдaнням як нaукового дослідження, тaк і прaктичної реaлізaції. В стaтті проведено aнaліз стaну упрaвління кредитним ризиком у бaнкaх Укрaїни, у тому числі з врaхувaнням особливостей військового стaну. Здійснено aнaліз динaміки величини непрaцюючих кредитів зaгaлом по бaнківській сфері в Укрaїні, і у розрізі держaвних, привaтних бaнків тa бaнків з іноземним кaпітaлом. Проaнaлізовaно динaміку питомої вaги NPL у кредитному портфелі бaнківського сектору. Обґрунтовaно, що нормaтиви кредитного ризику перебувaють у встaновлених регулятором межaх. Відобрaжено перелік топ-10 бaнків із нaйбільшим кредитними ризиком, двоє з яких відносяться до кaтегорії системно вaжливих бaнків в Укрaїні, відповідно до нормaтивно-прaвових положень НБУ. Обґрунтовaно необхідність зaстосувaння зaходів для мінімізaції кредитного ризику устaнов у бaнківській системі.
CUSTOMER DECISIONS TO USE BANK MUAMALAT PRODUCTS AND SERVICES RANTAU PRAPAT BRANCH
Authors: Rahman Dani , Arif Muhammad , Dalimunthe Ahmad Amin
Published: February 2024

Bank Muamalat Rantau Prapat Branch began operating in 2010 and showed significant growth in 2011 and 2012. In the following years, business development and the number of Bank customers tend to stagnate in 2018, 2019, 2020 and 2021 which can result in a decrease in branch profits and rational efficiencies such as employee layoffs, moving to smaller offices, reducing branch status and others. So research is needed to find out and measure what factors make existing customers want to use products and services at the Rantau Prapat branch office. With these factors known, it can become management policy material for market penetration with the type of products and supporting strategies that are in accordance with known factors so that it is expected that the branch office will grow significantly in the future. The research is only concentrated on the coverage area of Bank Muamalat Rantau Prapat Branch services, namely: North Labuhan Batu, Labuhan Batu, South Labuhan Batu districts, hence the possibility that in other areas the research results will vary with the same variables. The independent variables measured in this study are: Culture, Psychology, Personal, Social and Environment, with Customer Decisions as the dependent variable. The research method uses a positive affirmation Likert scale, multiple linear regression, t test and F test. The results showed that partially cultural, social, personal and environmental factors had no significant effect on customer decisions, while psychological factors had a significant effect on customer decisions. Together and simultaneously five independent variable factors have a very significant effect on customer decisions using Bank Muamalat products and services Rantau Prapat Branch.
Comparative Relationship of E-Commerce Growth versus Trade (Indonesian and Singapore Case Studies)
Authors: Wardani Pina , Nurbaiti Nurbaiti , Dharma Budi
Published: February 2024

The rapid development of technology is driving every human being to continue to innovate, one of which is in terms of shopping or trading to make it easier and faster. E-commerce has become one of the solutions to solving the issue of efficiency in doing sale-purchase transactions. The research is comparative to the qualitative approach with the data model used is SWOT, but since each SWOT component is not so clear then the literature study approach is used to define SWOT. The data used is e-commerce approach data from 2017 – 2022. E-commerce has a positive and beneficial effect on trade in both the States of Indonesia and Singapore, because with the increase of e-commerce in the two States then the value of transactions income through the trade sector has become and increased the rate of economic growth has become better in the respective countries.
Design of Health Monitoring System Based on Internet of Things (IoT): ESP8266 and BLYNK
Authors: Juhaeriyah Juju , Agung N Edo , Wulandari Rindi
Published: February 2024

Health monitoring is important for living creatures. There are many things that are important factors in the health of living creatures, especially humans, including heart rate, body temperature and oxygen saturation. IoT technology is very helpful in the development of health technology so that it becomes possible to monitor patient health in real time and patient emergency information can be accessed easily. This research also aims to design an Android-based heart rate monitoring system using ESP8266 as a microcontroller. The sensor used is Max30102. The research method used is applied research, with experimental research methods. The research stages carried out were literature study, software design, hardware design, system testing, and analysis. The results of the research are the design of a patient health monitoring tool with three measured indicators, namely the patient's heart rate, body temperature and oxygen levels. The system can monitor in real time based on Internet of Things and can be accessed by Android and iOS. From the study results, it was found that the Android-based health monitoring system has an accuracy rate of 97.63% and it can be said that the system can be used for patient measurements. With details, 96.71% is the accuracy level for measuring heart rate, 96.45% accuracy level for measuring oxygen levels in the patient's body, and 99.75% accuracy level for measuring patient temperature.
Evaluation of Distance Measurement Using Complete Linkage Method
Authors: Cahyaningrum Fibia Sentauri , Dewi Isna Ayu Safitri Kusuma , Riwibowo Nola , Tama Taruna Firlian
Published: February 2024

Cluster analysis is the process of grouping a number of objects based on information obtained from data that explains the relationship between objects with the principle of maximizing similarities between members of one cluster and minimizing similarities between clusters. Cluster analysis is useful for identifying objects (recognition), supporting decision-making systems, and data mining. Cluster analysis consists of hierarchical (Average Linkage, Single Linkage, Complete Linkage, Ward's, and Centroid) and non-hierarchical (K-Means) methods. Each method generally has advantages and disadvantages. Apart from that, there are several distance measures that are commonly used in the grouping process, such as Euclidean, Canberra Metric, Czekanowski Coefficient, and others. In general, researchers will choose one or several cluster analysis methods as a comparison and a certain distance measure to be applied to the data in order to group objects based on certain criteria. In this research, a study and evaluation of Euclidean distance measures, Canberra Metric, and Czekanowski Coefficient were carried out using the Complete Linkage method based on simulated data. The conclusion obtained from evaluating measures of object similarity, namely Euclidean distance, Canberra Metric, and Czekanowski Coefficient by applying the Complete Linkage method, concluded that Euclidean distance is better used as a measure of object similarity in grouping cases compared to Canberra Metric and Czekanowski Coefficient.
Application of Electre Method Decision Support System for Laptop Selection
Authors: Hasan Ani Yoraeni
Published: February 2024

In the contemporary era, laptops have transitioned from being perceived as luxury items to becoming an essential tool for work, education, and various learning activities. The market is saturated with a plethora of laptop manufacturers, providing consumers with a wide array of options to cater to their specific needs and budget constraints. However, a common challenge faced by consumers is the mismatch between their requirements and the specifications of available laptops, often due to a lack of understanding. Addressing this issue requires the implementation of a suitable Decision Support System (DSS). The proposed solution involves employing the Electre method, renowned for its multicriteria approach. This method systematically eliminates unsuitable alternatives, facilitating the identification of laptops that align with the desired criteria. The process involves several key steps, such as defining criteria and alternatives, assigning weights, normalizing the decision matrix, determining concordance and discordance indices, and ultimately establishing an aggregate dominance matrix. By leveraging the Electre method, this Decision Support System can effectively recommend laptops that not only meet the consumer's specified criteria but also align with their budget constraints. This systematic approach aims to enhance the overall decision-making process, ensuring optimal satisfaction for laptop buyers in terms of both performance and financial considerations.
Designing A Mobile Web-Based Culinary Tourism of Information System in Pringsewu District
Authors: Ridhawati Eka , Astika Reni , Fitrian Yuri
Published: February 2024

The rapid growth of information technology has significantly impacted various aspects of human life, offering immense importance and assistance in daily tasks. Information technology, with its swift and easy access to information, time and cost efficiency, and enhanced communication, has become an invaluable tool in numerous fields. In the culinary industry, leveraging information technology can elevate service quality, making operations more effective and efficient. This study focuses on the development of an information system for Nggruput Culinary Tourism in Pringsewu District. The research methodology adopufated for this project follows the waterfall model, ensuring a systematic and well-organized approach to the development of the Nggruput Culinary tourism information system. The implementation of this system is designed as a mobile web application, providing visitors with easy access to pertinent information about Nggruput Culinary Tourism. This mobile web-based approach aims to streamline marketing efforts for businesses and enhance public accessibility to comprehensive information about Nggruput Pringsewu Culinary. By employing a mobile web platform, the information system promises to offer a user-friendly interface for both businesses and the public, fostering efficient communication and interaction. The anticipated outcome is an improved marketing strategy for Nggruput Culinary Tourism, providing businesses with a competitive edge while ensuring that the public receives detailed and easily accessible information. This integration of information technology is poised to contribute positively to the advancement and effectiveness of Nggruput Culinary Tourism in Pringsewu District.
Analysis and Design of Disease Diagnosis Systems and Patient Medicine Recommendations with Forward Chaining Method
Authors: Elkana Samuel Ryon , Kuswanto Verri
Published: February 2024

Technological developments have had a significant impact on many aspects of life, one of which is patient care in hospitals. Apart from using technology in patient care, technology also provides access to effective and efficient information storage and management to record patient data for treatment purposes. In outpatient services at hospitals, there are often complaints from employees regarding the health recording system which is less than optimal. Therefore, a system that manages disease diagnoses and patient treatment recommendations is something that needs to be developed, with the hope of speeding up the performance of medical personnel, so that they can help more patients who need help. The application system design aims to help manage information related to disease diagnosis and patient drug recommendations, where this system uses Forward Chaining to assist users in identifying diseases and prescribing drugs according to the diagnosis the patient is complaining about. By using the Forward Chaining methodology, medical personnel are able to obtain patient diagnosis results more quickly. The result is an application that can help medical personnel in serving outpatients from registration, examination, to exchanging medicines. This application has been tested using black-box testing involving several respondents, where respondents can feel that this application works well and helps hospital staff in examining patients.
ANTIBIOGRAM OF METHICILLIN-RESISTANT Staphylococcus aureus (MRSA) STRAINS FROM KINDIRMO IN NASARAWA, NASARAWA STATE, NIGERIA
Authors: Aliyu Yakubu , Rine Christopher Reuben , Chrinius Hammuel , Isaac Ojodale Paul , Adegba Justina , Shamsuddeen Abdullahi Muhammad , 1Abdulkarim Ladidi Maryam , Musa Ahmed Nusaibah
Published: February 2024

Dairy products have been found to be a major vehicle for the transmission of multidrug-resistant MRSA strains to man. This study determined the antibiogram of methicillin-resistant Staphylococcus aureus (MRSA) strains from traditionally-pasteurized dairy product (Kindirmo) in selected parts of Nasarawa, Nasarawa State, Nigeria. One hundred and sixty kindirmo samples were collected from vendors using random sampling from the areas selected for the study. Sample collection was between January 2021 and April 2021. Each sample was collected into sterile screwed-capped plastic bottle and labeled appropriately. Standard microbiological procedures were used in isolating and identifying MRSA strains from the samples. Characterisation of the MRSA strains was carried out using Microgen® kits. The MRSA strains were evaluated for their susceptibility to cefoxitin (30µg), clindamycin (2µg), chloramphenicol (30µg), doxycycline (30µg), gentamicin (10µg), sulphamethoxazole/trimethoprim (25µg), tobramycin (30µg), and vancomycin (30µg), using the Kirby-Bauer technique. Of the 160 samples examined, eight MRSA strains were obtained, giving a prevalence of 5.0%. All of the MRSA strains were resistant to cefoxitin (0-1mm); 62.5% were resistant to tobramycin (7-11mm); and 25.0% were resistant to chloramphenicol (4-10mm). Five (5) antibiotic resistant phenotypes were recorded among the MRSA strains. The occurrence of MRSA in Kindirmo as recorded in this study, suggest that, the consumption of the product constitute a hazard to consumers. Basic hygiene requirements during production and selling of the product should be imposed by relevant authorities. This will go a long way in ensuring the safety of the product.