bluuebunny/crossref_metadata_2025 huggingface dataset:
Jenis Tumbuhan Non-Kayu sebagai Produk Kerajinan yang Dikomersialisasikan di Kabupaten Padang Pariaman Provinsi Sumatera Barat
Authors: A'yuni Qurrata A'yuni , Reki Kardiman  , Rijal Satria  , Resti Fevria
Published: August 2024

Non-timber forest products (NTFPs) are all types of forest products other than wood which provide multi-purpose benefits for the community, especially local communities who live around the forest. NTFP products are the main focus for alternative economic value of forests, NTFP demand can be used as a reference for management. One potential use of NTFPs is handicraft products that are bought and sold in economic centers, but the various types of NTFPs and their derivative products are still unknown. This research investigates the use of NTFPs for craft products in Padang Pariaman Regency, including the species of plants used, the types of craft products, and market potential. The survey was carried out in five places in Padang Pariaman Regency, selected using purposive sampling. Four types of NTFP plants were found which were used to make 27 types of craft products, namely Pandanus tectorius, Cocos nucifera L., Bambusa spp., and Calamus spp. Most handicraft products are produced from rattan plants, and the highest market potential is obtained by coconut-based craft products with a percentage of 83%. This data can be a reference for LPHN or forest managers around the Padang Pariaman Regency area.
Predicting Heart Failure Survival with Machine Learning: Assessing My Risk
Authors: Md Nasiruddin  , Shuvo Dutta  , Rajesh Sikder  , Md Rasibul Islam  , Abdullah AL Mukaddim  , Mohammad Abir Hider
Published: August 2024

This study investigates the application of machine learning techniques for heart disease prediction using a comprehensive dataset of 918 patients. The research employs multiple algorithms, including Logistic Regression, Random Forest, Support Vector Machine (SVM), and Neural Networks, to develop predictive models based on 11 clinical features. The dataset, compiled from five independent sources, underwent thorough preprocessing and was split into training (70%) and test (30%) sets. Model performance was evaluated using accuracy, precision, recall, F1-score, and ROC-AUC metrics. Results demonstrate consistently high performance across all models, with the SVM achieving the highest overall performance (accuracy: 88.41%, precision: 89.76%, recall: 90.85%, F1-score: 90.30%, ROC-AUC: 94.97%). Key predictors identified include age, maximum heart rate, and ST depression (Oldpeak). The study's findings have significant implications for clinical practice, offering the potential for rapid, objective heart disease risk assessment. The consistent performance across different model architectures provides flexibility for implementation in various healthcare settings. Limitations include potential data collection variability and gender imbalance in the dataset. Future research directions include developing more sophisticated neural networks, incorporating additional data types, and conducting prospective studies to validate model performance in real-world clinical settings. This research contributes to the growing body of evidence supporting the use of machine learning in medical diagnostics. The developed models enhance early detection and risk stratification of heart disease, potentially improving patient outcomes through timely interventions.
Credit Card Client’s Payment Prediction for Next Month Using Machine Learning Algorithms
Authors: Faria Rahman Annasha  , Sabbir Hossen  , Monoara Sultana Morzina  , Md. Solaiman Kabir  , Md. Showrov Hossen
Published: August 2024

With the quick growth of the credit card system, there is a rising number of misconduct rates on credit card loans, which creates a financial risk for commercial banks.   Thus, successful resolutions of the risks are significant for the sound advancement of the industry in the long term. Numerous financial banks and organizations become more and more attentive to the issue of credit card default because it brings about a high probability of financial risks. Credit risk plays a significant part in the financial business. One of the main functions of a bank is to issue loans, credit cards, investment mortgages, and other credit. One of the most popular financial services offered by banks in recent years has been the credit card. With its constant rise in risk factors, the banking industry is perhaps the most fragile and volatile in the world. Credit risk remains a crucial element for financial institutions that have experienced losses amounting to hundreds of millions of dollars as a result of their incapacity to retrieve the funds disbursed to clients. In the banking industry, it is now vital to forecast whether a borrower will be able to repay the loan. In this paper, we applied different machine learning classifiers, including Random Forest, K Nearest Neighbor, Logistic Regression, Decision Tree, Decision Tree with AdaBoosting, and Random Forest with AdaBoosting, to build a credit default prediction model. The results show that the AdaBoosting model achieved better accuracy than the other machine learning algorithms. Our proposed technique can support financial organizations in controlling, identifying, and monitoring credit risk, and it can identify credit card clients who pay the loan in the next month.
Simulation-Based Study on Extreme Ranked Set Sampling from Rician Distribution
Authors: Al Hadhrami Said , Al Aamri Shima , Al Habsi Rya , Al Ghafri Sumaya , Al Mayyahi Shima
Published: August 2024

The RSS approach is a useful method of sampling that reduces the cost and improves the representativeness of the population. It provides more efficient estimators than the competitors based on SRS. However, using RSS could be a difficult task to observe all the ranks. Thus, using only the extreme ranks eases the task and reduces the error in ranking. Samawi et al. (1996) proposed the method of Extreme Ranked Set Sampling (ERSS) to reduce errors in ranking and showed that the method gives an unbiased estimate of the population mean in the case of symmetric populations and it provides a more efficient estimator than SRS. However, the estimator of this method is biased when the distribution is skewed. Many researchers have considered ERSS, investigated several estimators, and studied their properties. In this paper, we adopt the ERSS technique when the samples are drawn from the Rician distribution. Several estimators have been studied, including arithmetic mean, geometric mean, harmonic mean, quadratic mean, median, variance, mean deviation, skewness, and kurtosis. Computer simulations were used to check the properties of these estimators and compared with the corresponding estimators using SRS. Some estimators based on ERSS are more efficient than the corresponding estimators from SRS, but some others are not.
Review of Empathy by Design: Empathy-Driven Marketing for Libraries
Authors: DeStasio Joyce
Published: August 2024

ABSTRACT 
Review of Dantus, S.B. (2024). Empathy by design: Empathy-driven marketing for libraries. Association of College and Research Libraries.
Pengaruh Kualitas Produk dan Kualitas Pelayanan Terhadap Kepuasan Pelanggan di D.lab Coffee and Eatery Pangkalpinang
Authors: Pramuja Idil , Hamsani Hamsani , Sumar Sumar
Published: August 2024

Penelitian ini dilatarbelakangi oleh fenomena perkembangan bisnis dibidang industri makanan dan minuman, khususnya kafe dan restoran dengan berbagai konsep yang menarik. Salah satu sektor yang kondisi perkembangan industri bisnisnya saat ini yang mengalami peningkatan yang cukup signifikan adalah bisnis coffee shop. Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh kualitas produk dan kualitas pelayanan terhadap kepuasan di D.lab Coffee and Eatery Pangkalpinang.
Penelitian ini termasuk penelitian analisis deskriptif. Metode yang digunakan yaitu metode penelitian kuantitatif. Jumlah sampel dalam penelitian ini adalah 100 responden. Teknik pengambilan sampel menggunakan nonprobability sampling. Model analisis yang digunakan adalah analisis regresi linier berganda.
Hasil penelitian menunjukkan bahwa kualitas produk, kualitas pelayanan, dan kepuasan pelanggan berada pada kategori sangat baik. Berdasarkan uji t bahwa kualitas produk dan kualitas pelayanan berpengaruh positif dan signifikan terhadap kepuasan pelanggan. Sedangkan hasil analisis koefisien determinasi (𝑅2) menunjukkan determinasi (𝑅2) pada penelitian ini sebesar 63,1 persen dan masih ada 36,9 persen variabel lain diluar penelitian yang masih dapat dikembangkan oleh penelitian selanjutnya.
Image Copyright Protection Based on Blockchain Technology Review
Authors: Ali Daban , Askar Shavan , Saleem Mohammed , Othman Mina , Omer Saman M.
Published: August 2024

On a daily basis, a significant number of individuals distribute several photos and videos that have been marginally modified from the original material produced by copyright owners, such as photographers, graphic designers, and video producers. Individuals that infringe upon the rights of others, lacking the legal authority to access multimedia content, employ various digital image and picture manipulation techniques, it involves converting to gray scale, trimming, rotating, contracting the frame, and adjusting the background speed, to modify said content. Blockchain technology obviates the necessity of an intermediary, hence circumventing the possibility of a singular point of failure. Infractions to copyright poses a significant barrier to protecting commercial image and video information. The IPFS blockchain technology offers on-chain preservation for copyright information and off-chain storing for distinct multimedia files. The enhanced perceptual hashing algorithm significantly enhances the precision of identifying connections to identify digital image piracy. The photographers and designers that submit their photographs on websites are experiencing significant dissatisfaction due to a prevalent practice in which others attempt to claim credit and profit from the initial creator's effort.
A Meta-Analysis of the Problem-Based Learning Model to Enhance Students' Creative Thinking Skills
Authors: Elsa Sabrina  , Maksum Hasan , Waskito
Published: August 2024

This study aims to investigate the influence of the Problem Based Learning (PBL) model on enhancing students' creative thinking skills. Meta-analysis method was employed to collect and analyze data from 17 relevant articles published in online journals between 2018 and 2023. The analysis results indicate that the implementation of the PBL model has a significant impact on enhancing students' creative thinking skills, with an effect size value of 0.40 categorized as a moderate effect. The implications of these findings underscore the importance of integrating the PBL model into educational approaches to facilitate the development of students' creative thinking skills in various educational contexts.
Fluctuation behavior of the degree growth dynamics in complex networks
Authors: Chang Hanyun , Qian Jiang-Hai
Published: August 2024

The standard network theory predicts the ﬂuctuation of the degree growth rate is interval-independent, whereas the evidence witnessed in Internet shows an inconsistent result, which raises the concern of many existing relevant studies that apply just single observation interval. To check whether such inconsistency occurs in more systems, we study empirically the degree growth ﬂuctuations in two social networks. We ﬁnd both their ﬂuctuation exponents decrease logarithmically with the observation interval, presenting clear interval dependency that diﬀers from those observed in Internet in the speciﬁc manner but is still consistent in the tendency. By applying a progressive shuﬄing procedure, we ﬁnd an asynchronous response of the ﬂuctuation exponent and deduce the decline of the exponent might be related to the development of the internal correlation. These results indicate the general existence of the interval dependency in the degree growth ﬂuctuation and suggest its close connection with the correlation evolution, which could provide new insight to the related dynamics in complex networks.
Healing Garden as a Green Open Space in Hospital
Authors: Lestari Marselli Widya , Favurita Anisgupta Larasaty
Published: August 2024

Introduction: Natural environments within healthcare settings have received growing interest for their potential role in supporting health and well-being. Healing gardens are typically green open spaces within hospitals that promote the physical, mental, and emotional rehabilitation of patients, also benefiting the staff and visitors. This paper presents a narrative review pertaining to the theoretical underpinnings, history, and empirical research on the effectiveness of healing gardens in health care settings.
Result: It has been reviewed in recent literature that healing gardens have a huge effect on stress reduction, mood enhancement, improved cognitive functioning, and accelerated physical recovery. Some key design principles, such as access, sensory stimulus, and restorative components, arebanner in maximizing this potential therapy. Healing gardens, therefore, become one of the most cost-effective ways for patient care and staff well-being; however, there might be some little challenges in implementing and maintaining them.
Conclusion: Future research should be directed toward long-term impacts and design innovations that ensure maximum efficacy of these therapeutic spaces. Future work into the healing garden would focus on developing more patient-centered, restorative, and sustainable healing environments that underscore this deep connection between nature and health.
FACTORS AFFECTING HALAL SATISFACTION AND LOYALTY IN THE HOSPITALITY INDUSTRY
Authors: Candraningrat Candraningrat
Published: August 2024

This study aims to identify and analyze the factors influencing customer satisfaction and loyalty in the Sharia hotel industry in East Java, focusing on service quality, hotel facilities, accessibility, and expectation toward service. A quantitative research method was employed, collecting data through questionnaires distributed to customers of Sharia hotels in East Java. Data analysis techniques included descriptive analysis, convergent validity testing, Average Variance Extracted (AVE), Composite Reliability, and Cronbach's Alpha to measure the reliability and validity of the data.The results indicate that service quality, hotel facilities, and accessibility have a significant positive impact on expectations toward service, which in turn significantly affects customer satisfaction and loyalty. Specifically, Sharia-compliant and easily accessible hotel facilities enhance customers' expectations regarding the services they receive. Fulfilled or exceeded expectations then increase customer satisfaction, which directly contributes to customer loyalty. This research contributes to the existing literature by providing a deeper understanding of the factors affecting customer satisfaction and loyalty in the context of Sharia hotels in East Java, and offers practical insights for hotel managers in developing effective service strategies.
Overview of Nutritional Status in Pulmonary Tuberculosis Patients Undergoing Outpatient Treatment at Tk.II Iskandar Muda Hospital Banda Aceh
Authors: Safitri Rosi Mega , Kurniawan Hendra , Nauval Iflan , Ko Ko Htet Kyaw
Published: August 2024

Tuberculosis (TB), caused by Mycobacterium Tuberculosis (MTB) and transmitted through the air, primarily affects the lungs. In Aceh Province, the reported TB cases reached 41,596. Nutritional status is a pivotal factor influencing TB occurrence, as malnutrition can compromise immune function, increasing susceptibility to MTB. This study assesses TB patients' nutritional status based on BMI, malnutrition risk, and body weight changes during therapy. As quantitative research with a descriptive cross- sectional study design, the study used the medical records of outpatient pulmonary TB patients at the Pulmonary & TB-DOTS Polyclinic of TK—II Iskandar Muda Banda Aceh Hospital, who underwent intensive phase therapy from January to December 2023. Malnutrition risk screening utilizes the Malnutrition Universal Screening Tools (MUST) instrument. The study revealed a high prevalence of pulmonary TB cases, particularly among individuals aged 17-25. Based on the MUST instrument, patients over 60 showed a high risk of malnutrition, with the average patient having a MUST score of 3 (indicating high risk). Most patients experienced a significant increase in body weight during the intensive treatment stage. Weight gain significantly contributes to the success of tuberculosis treatment, influencing positive changes in the nutritional status of pulmonary tuberculosis patients.
Enhancing E-book Accessibility
Authors: Kavčič - Čolić Alenka , Hari Andreja
Published: August 2024

The purpose of the presented research was to gain insight into the user experience with e-books among users of mobile devices and to understand the needs of blind and partially sighted e-book users. The surveys were conducted using two questionnaires which were translated and distributed among users from 15 EODOPEN project partner organisations. The survey findings offer a comprehensive understanding of the preferences, behaviours, and challenges faced by e-book readers, including both individuals using mobile devices and those who are visually impaired. The study represents the first of its kind in Europe, and the findings provide valuable insights into the use of e-books and related technologies.
Assessment of Simultaneous Heating Demands for Consumer Groups
Authors: Garbai László , Sánta Róbert , Zónai Viktor
Published: August 2024

The paper presents the determination of the simultaneity factor in district heating systems based on the simultaneous heat demand level of a group of consumers. The simultaneity factor is formed on a probability theory basis, involving a prescribed risk. The simultaneity factor is a ratio that indicates the proportion of the aggregated nominal heat demand of consumers that occurs at a specific time. As known, the simultaneity factor is less than one. Knowledge of the simultaneity factor allows us to uncover performance reserve capacity in a district heating system. This way, there are often opportunities for expanding district heating systems, connecting new consumers, and improving the economic efficiency of operation.
تعلم تلامذة المدارس الابتدائية بعمر (10-12) سنه (المصنفين حسب القدرات العقلية والقابليات البيوحركية) للمواقف الشطرنجية باختلاف الجنسين
Authors: Prof. Dr. Muhammad Jassim Al-Yasiri  , Lec. Hassanein Abdul Razzaq Jawad
Published: August 2024

جاءت أهمية البحث في تعليم الأطفال (تلامذة المدارس) بأعمار (10-12) سنه من الذكور والاناث للمواقف التطبيقية في لعبة الشطرنج، مما يتطلب تقويم حالهم بعد ان يتم تصنيفهم من قبل الباحثان حسب قدراتهم العقلية وقابلياتهم البيوحركية ومن ثم تعليمهم لمواقف اللعب المختلفة، اما مشكلة البحث جاءت لبيان حقيقة كثير من النظريات التي تشير الى ان عملية التعلم والتحصيل في الموضوعات النظرية والعملية ، ربما تعود الى القدرات العقلية التي يتمتع بها الطلبة او التلامذة رغم اختلاف الجنس بينهما، وان القابليات البدنية والحركية التي يتمتع بها كل من التلاميذ او التلميذات، لا دور لها في التأثير او قد تكون هنالك افضلية لاحدهما على الاخر، لا سيما في تعلم المواقف الشطرنجية لهذا قام الباحثان بهذه الدراسة لأغراض التحقق والاثبات. ومن اجل تحقيق الأهداف جاءت إجراءات الدراسة باستخدام المنهج التجريبي بأسلوب المجموعات المصنفة ذات الاختبارات المتتابعة لغرض حل مشكلة البحث، (تصميم المجموعة الواحدة ذات الاختبارات المتسلسلة القبلية والبعدية)، اما الأهداف جاءت للتعرف على الفرق حسب الجنس في القدرات العقلية التي يتمتع بها تلامذة المدارس الابتدائية بعمر (10-12) سنه، والفرق حسب الجنس في القابليات البيوحركية التي يتمتع بها تلامذة المدارس الابتدائية بعمر(10-12) سنه، والفرق في التعلم والاكتساب للمواقف الشطرنجية حسب الجنس لتلامذة المدارس الابتدائية ممن هم بأعمار (10-12) سنه.
The unconscious online: An exploration into the emotional experience and behaviours of virtual working
Authors: Stamenova Kalina , O'Byrne-Maguire Irene , Maguire Bryan
Published: August 2024

The new normal in the wake of the global Covid pandemic means that more organisations are working virtually. Whilst this new working environment offers opportunities, a particular challenge relates to working together, mediated through technologies, whilst being physically apart. Online communication platforms have emerged as dominant virtual places of social, professional, and educational encounters. Spurred on by the researchers’ experiences of using these platforms at work, an online exploratory research project was developed to examine how the design affordances and constraints of these platforms influence the emotional experiences and behaviours of those using them. The researchers applied their own backgrounds to the study of unconscious processes at work in social systems to the exploration of these platforms. Self‐selecting, psychodynamically informed practitioners were invited to join three online exploratory studies. These pilots aimed to study the conscious and unconscious influence of the online platforms (Zoom and Microsoft Teams) on the groups’ perceptions, emotions, and behaviours. An adaptation of group relations methodology was used to allow processes to develop naturally within carefully designed boundaries of time, space, and roles. Key themes identified from direct observations, using researchers’ free-floating attention and subjective experiences, related to role, identity, and presence.
Distinctive genomic features of human T-lymphotropic virus type 1-related adult T-cell leukemia-lymphoma in Western populations
Authors: Myers Caroline S. , Williams Eli , Cornejo Carlos Barrionuevo , Pongas Georgios , Toomey Ngoc L. , Sanches Jose A. , Battistella Maxime , Mo Samuel , Pulitzer Melissa , Moskaluk Cristopher A. , Bhagat Govind , Ofori Kenneth , Davick Jonathan J. , Servitje Octavio , Miyashiro Denis , Climent Fina , Ringbloom Kimberley , Duenas Daniela , Law Calvin , Zambrano Sandro Casavilca , Malpica Luis , Beltran Brady E. , Castro Denisse , Barreto Luciana , Brites Carlos , Chapman Jennifer R. , Choi Jaehyuk , Gru Alejandro A. , Ramos Juan C.
Published: August 2024

Adult T-cell leukemia-lymphoma (ATLL) is an aggressive Human T-cell Leukemia Virus Type 1 (HTLV-1)-driven malignancy. Although Western hemisphere (Afro-Caribbean and South American) patients face worse prognoses, our understanding of ATLL molecular drivers derives mostly from Japanese studies. We performed multi-omic analyses to elucidate the genomic landscape of ATLL in Western cohorts. Recurrent deletion and/or damaging mutations involving FOXO3, ANKRD11, DGKZ, and PTPN6 implicate these genes as potential tumor suppressors. RNA-seq, published functional data and in vitro assays support the roles of ANKRD11 and FOXO3 as regulators of T-cell proliferation and apoptosis in ATLL, respectively. Survival data suggest ANKRD11 mutation may confer a worse prognosis. Japanese and Western cohorts, in addition to acute and lymphomatous subtypes, demonstrated distinct molecular patterns. GATA3 deletion was associated with unfavorable chronic cases. IRF4 and CARD11 mutations frequently emerged in relapses after interferon therapy. Our findings reveal novel putative ATLL driver genes and clinically relevant differences between Japanese and Western ATLL patients.
An important oversight in WHO diagnostic classification: chronic myeloid leukemia with PML::RARA fusion clone
Authors: Wang Jieyu , Wang Shixuan , Xiao Zhiwen , Chen Zhiwei , Qi Ling , Song Baoquan , Wang Jianxiang , Li Fei
Published: August 2024

Not available.
Transliteration of Latin Letters to Bali Characters Based on Unicode for Mobile Devices using Finite State Automata and Levenshtein Distance
Authors: Sandhiyasa I Made Subrata , Pande Ni Kadek Nita Noviani , Fibriyanthini Luh
Published: August 2024

The preservation of Balinese script writing has been pursued by the local government with the issuance of the Bali Province Regional Regulation Number 1 of 2018 concerning Balinese Language, Script, and Literature. However, the use of Balinese script in daily life is declining, especially among generation Z, most of whom find Balinese language difficult to use and have never been taught it. Technological advances, particularly smartphone technology, can play an important role in shaping generation Z's habits, values, and social interaction patterns. This research uses the Finite State Automata (FSA) method to convert Latin letters to the Balinese script Unicode standard, following the Balinese script writing rules. FSA governs transliteration behavior by using the working principles of State, Event, and Action. Besides transliterating sentences typed by users, the application produced by this research also displays Balinese script words related to the words typed by users using the Levenshtein Distance method. The ‘related words’ feature allows users to know more about Balinese script than just the typed word. From the test results conducted through two different test cases, the first test case tested the application's ability to transliterate words/sentences typed by users without selecting words from the application's suggestions. The results showed that of the 50 words tested, 39 were correctly transliterated. The second test case tested the app's ability when the user selects a word from the suggestions given by the app. The result shows that out of 50 words tested, 43 transliteration data are correct, with the total accuracy of both test cases being 82%.
Application of Neural Network Method to Determine Public Satisfaction Level on Pertalite Fuel
Authors: Rahmadani Fitri , Masrizal Masrizal , Irmayanti Irmayanti
Published: August 2024

This research aims to analyze public interest in Pertalite fuel using the Data Mining method, specifically using the Neural Network method. The stages in this research include Data Analysis, Data Preprocessing, Designing Classification Models in Data Mining, Classification Results in Data Mining, Designing Evaluation Models in Data Mining, and Evaluation Results on Data Mining. The classification results show that of the total of 105 community data analyzed, 97 community data showed interest in Pertalite fuel, while only 8 community data showed no interest. The accuracy results obtained were 100%, indicating that the Neural Network method is very suitable and effective in classifying people's interest in Pertalite fuel. The Data Analysis process was carried out to understand and analyze the characteristics of data regarding public interest in Pertalite fuel. Data preprocessing is carried out to clean, transform and integrate data so that it is ready for the classification process. Next, the Designing Classification Models in Data Mining process is carried out to design a classification model using the Neural Network method. Classification Results in Data Mining produces information that the majority of people have an interest in Pertalite fuel. Designing Evaluation Models in Data Mining is carried out to design classification evaluation models, which then produce Evaluation Results on Data Mining which show an accuracy level of 100%. Thus, this research shows that the Neural Network method is very effective in classifying people's interest in Pertalite fuel.
Classification of Heart Disease Using Support Vector Machine
Authors: Tanjung Tegar Haryahya , Furqan Mhd
Published: August 2024

Heart disease is a disease that has a high mortality rate, with more than 12 million deaths occurring throughout the world. Diagnosis of heart disease is very challenging due to the complex interdependence of several attribute factors. The problem that frequently encountered is the lack of accuracy in the classification process. Thus, a system is needed to carry out early diagnosis of heart disease. The structure of this research is to take a heart disease dataset from Kaggle. Then the data will be cleaned with preprocessing. The preprocessing process carried out is changing table names, checking missing values, and normalizing. 820 data will be trained using a Support Vector Machine and 205 data will be tested to find out how well the model can perform classification. The results of training and testing from a total of 1025 data will form a classification model. The model formed using the Support Vector Machine obtained confusion matrix results of 88 is True Positive data, 93 is True Negative data, 10 is False Positive data, and 14 is False Negative data. So the results of model training produce an accuracy of 88%.
Occurrence of Maxillary Ameloblastoma – Case Report
Authors: Xavier Karla Magna , Almeida e Macedo Leonardo Targino Silva , Bilheiro Adriana Benatti
Published: August 2024

Ameloblastoma is a benign odontogenic tumor with local invasion and high recurrence, common on the jaw bones and less common on de maxilla area. It can be aggressive with destructive effects leading to facial deformation, difficult to swallow and tanking. This study reports a case of maxillary ameloblastoma of a female patient. Computed tomography (CT) revealed considered swelling on the right side of maxilla with massive bony destruction. Histological examination led to a diagnosis of a solid ameloblastoma and the patient was regulated to surgery for removing the tumor. Maxillary region is considered a rare and atypical for ameloblastomas and due to the high rate of recurrence the differential diagnosis and early treatment are fundamental to the prognosis.
RESEARCH OF KEY INDICATORS OF THE STATE OF ECONOMIC SECURITY OF THE EUROPEAN UNION COUNTRIES IN THE FRAMEWORK OF THE CONCEPT OF SUSTAINABLE DEVELOPMENT
Authors:   National Transport University, Fedoruk Olesia
Published: August 2024

Summary. The article examines the basic priorities of the EU economic security strategy. The key indicators of the economic security of the European Union countries are analyzed. The sectoral structure of value added in the EU countries is revealed. The peculiarities of implementing the strategy of strengthening the EU economic security are investigated. The countries of the European Union are one of the most attractive investment destinations for international companies due to their open economy and secure cross-border cooperation in research and innovation. These elements will remain key drivers of European competitiveness and sustainability. Partners around the world benefit from access to European markets, capital and technology for the transition to a clean and sustainable economy. The EU's regional policy, aimed at ensuring collective economic security, in particular by strengthening economic cohesion through assistance to the least developed regions and sectors of the EU member states, is an important element of the EU's structural policy, and along with institutional adaptation and economic integration, is considered one of the main means of influencing public welfare. However, the EU's regional policy is also not without contradictions in the distribution of funding between countries, in particular, there is a discrepancy in the receipt of funds for regional development by the new members of this association and the amount of their contributions to the common budget. Keywords: economic security strategy, global economy, European Union countries, international companies, sustainable development, investment projects, financial and economic crisis, European markets, innovation, competitiveness, cross-border cooperation.
GLOBAL EXPERIENCE IN CRYPTOCURRENCY TAXATION
Authors:   National Transport University, Gorobinska Iryna , Tesliuk Nataliia ,   National Transport University, Shatskyi Yevhenii ,   National Transport University
Published: August 2024

Abstract. The article is devoted to the analysis of global experience in the taxation of cryptocurrencies and the development of effective tax administration mechanisms. The object of the research is the taxation mechanism of the countries of the world that have legalized cryptocurrency. The purpose of the work is to study and analyze the global experience of cryptocurrency taxation and the possibility of introducing effective tax administration mechanisms in Ukraine. The research method is a theoretical and analytical substantiation of the functioning of the cryptocurrency market in certain countries and their taxation mechanisms. The need to develop efficient and effective tax administration mechanisms and ensure the stability of tax legislation is an objective prerequisite for ensuring the transparency and fairness of taxation of cryptocurrencies. The scientific article examines the peculiarities of the global experience of taxation of cryptocurrencies, which play a significant role in the processes of international movement of capital, forming relevant financial flows, and contributing to the capitalization of resources. The issues of taxation of cryptocurrencies are relevant on the path of the country's integration into the world community, insufficiently considered in modern conditions and requiring in-depth research and improvement. In the course of the study, the experience of cryptocurrency taxation in certain countries was summarized and the opportunities opened up due to the introduction of various cryptocurrency taxation tools were highlighted. The issue of developing effective tax administration mechanisms in order to ensure the effectiveness of cryptocurrency taxation and the growth of budget revenues remains unresolved and relevant today. Conclusions – the development of effective tax administration mechanisms is an important task to ensure the transparency and fairness of cryptocurrency taxation. This may include the development of clear taxation rules, the creation of monitoring and reporting systems to track cryptocurrency transactions, as well as cooperation with international partners to address transitional aspects and harmonize tax policies. Keywords: cryptocurrency, taxation, financial market, cryptocurrency market, income tax, capital gains tax, mechanisms of tax administration.
Euler Perfect Box
Authors: Muhammad Taha
Published: August 2024

1- I chose a box of different dimensions. H = a, W = a + r, L = a + k, and (k ≠ r ≠ a) Substitute in equation: g^2 =a^2 +b^2 +c^2, g ∈ N+ ⇒ a =r = k … contradiction to (k ≠ r ≠ a) If (k ≠ r ≠ a) ⇒ g ∉ N+ 2- If W = L, or W = L = H ⇒ d (diagonal) ∉ N+ ∴ from all above the Euler Perfect Box doesn’t exist.
Antifungal susceptibility pattern of Candida species isolated from pregnant women
Authors: Ali Maqsood , Edrees Wadhah Hassan , Al-Shehari Wadee Abdullah , Xue Gao , Al-Hammadi Safa , Qasem Eglal Ahmed , Chaulagain Ram Prasad , Lal Nand
Published: August 2024

Introduction

Candida species, opportunistic yeast, are the second most common cause of female vulvovaginal candidiasis. This study aimed to evaluate the antifungal susceptibility profile of the isolated Candida species in pregnant women in Hajjah governorate, Yemen.

Methods

A hospital-based cross-sectional study was conducted among 396 pregnant women attending Authority AL-Gumhorri Hospital Hajjah between February and July 2023. Vaginal swabs were collected, and Candida species were isolated and identified based on the standard laboratory method. Furthermore, the antifungal drug susceptibility of Candida species was determined by the Kirby-Bauer technique.

Results and discussion

The prevalence of vaginal Candida infection among pregnant women was 61.4%. Candida albicans was the most predominant species (59.26%), followed by Candida krusei(13.58%), Candida Tropicalis (11.12%), Candida Grabata (9.87%), and Candida dubliniensis (6.17%). The highest rate of Candida infections was among women aged 24–30 years (71.9%) who finished primary school (77.8%), with the third trimester (80%), multigravida (66.1%), and recurrent infection (67.7%) showing significant differences (P < 0.05). The Candida albicans isolates were resistant to clotrimazole and itraconazole at 34.7% and 23.6%, respectively.In addition, the resistance of Candida krusei, Candida tropicalis, Candida glabrata, and Candida dublinensis isolates to fluconazole, voriconazole, voriconazole, and nystatin was 57.6%, 63%, 43.8%, and 60%, respectively. Additionally, approximately 46.2% of isolated Candida albicans exhibited one kind of antifungal drug resistance, whereas 38.7% of isolated non-albicans exhibited resistance to three different antifungal agents. According to the above findings, Candida infection is highly prevalent in Yemen and quite widespread. Interventions in health education are advised to increase women’s knowledge of vaginitis and its prevention. The antifungal susceptibility test may also be helpful in determining the best medication for each patient.
Platelet indices and the risk of pulmonary arterial hypertension: a two-sample and multivariable Mendelian randomization study
Authors: Li Yinuo , Liu Xi , Hong Qian , Xu Rui
Published: August 2024

Background

Recent epidemiological studies have indicated a correlation between platelet indices and pulmonary arterial hypertension (PAH), yet the causality between them remains unclear. To explore the causal relationship between four platelet indices and PAH, with the aim of providing a theoretical basis for clinical prevention and treatment.

Methods

Single-nucleotide polymorphisms (SNPs) associated with platelet-related traits were selected as exposure factors from published genome-wide association studies (GWAS), including: platelet count (PLT), plateletcrit (PCT), mean platelet volume (MPV), and platelet distribution width (PDW). Summary-level data for PAH were obtained from the FinnGen study (248 cases and 289,117 controls). Two-sample and multivariable Mendelian randomization (MR) analyses were conducted to assess the causal relationship between exposure factors and the risk of outcomes. The inverse variance weighted (IVW) method was utilized as the primary MR analysis approach, supplemented by weighted median, mode-based estimation, MR-Egger regression, and the MR Pleiotropy Residual Sum and Outlier (MR-PRESSO) test to detect and adjust for pleiotropy, ensuring the reliability of the results through sensitivity analysis.

Results

(1) The IVW results from the two-sample MR analysis showed a positive causal association between PLT and the risk of developing PAH [(OR = 1.649, 95%CI: 1.206–2.256, P = 0.0017)], with the sensitivity analysis confirming the robustness of the causal relationship. The MR-Egger intercept analysis did not detect potential pleiotropy (P = 0.879). (2) The MVMR results showed no statistically significant causal relationship between these four markers and the risk of developing PAH. After adjusting for collinearity, a direct positive causal association was observed between PLT and the risk of developing PAH (OR = 1.525, 95%CI: 1.063–2.189, P = 0.022).

Conclusion

The positive correlation between PLT and the risk of PAH suggests that correcting elevated platelet levels may reduce the risk of developing PAH.
Transcatheter dilation and stenting of the modified blalock-taussig shunt in cyanotic heart diseases: points to consider. A single-center experience
Authors: Mini Nathalie , Zartner Peter A. , Schneider Martin B. E.
Published: August 2024

Background

Our study focuses on the technique and results of interventional dilation and stenting of the modified Blalock–Taussig shunt (MBTS) performed in our center, providing a comprehensive review of our practice over the past 4 years.

Methods

42 catheter interventions on MBTS performed on 32 patients between January 2020 and May 2024 included 11 balloon dilatations and 31 stenting procedures. They were analyzed retrospectively. We documented early and late complications, the need for in-shunt reintervention or surgical revision, in-stent thrombotic events, and sudden death.

Results

The median age, weight, body surface area, and procedural radiation time at the time of the intervention were 100 days (15–870 days), 5 kg (2.6–12 kg), 0.3 m2 (0.19–0.54 m2), and 12 min (7–28 min). Four interventions were performed as an emergency in three patients, of which three were performed with ECMO support. The interventions were semi-emergent for severe hypoxia in 22 patients and elective for mild desaturation in the rest. All interventions were successfully performed without any intervention-related complications or death. Eighty-two percent of the shunt dilations led to saturation improvement. Of the 31 shunt stentings performed in 26 patients, saturation improvement was documented in 97% of the cases. The late complication with stent thrombosis was documented in one patient. In two patients, sudden death and cardiac decompensation with the need for resuscitation were documented.

Conclusion

MBTS interventions are effective in emergent and semi-emergent situations with severe hypoxia. While serial balloon dilatations improved the luminal diameter in clipped MBTS, most patients needed stenting as a definitive procedure. In some cases, enlargement of the shunt via stenting may be an alternative to the surgical shunt revision to accommodate the shunt size and weight and delay the subsequent operation when there are contraindications. Dual antiplatelet therapy is strongly recommended to reduce thrombotic events, especially in shunts with more than one stent and those that need reinterventions.
Equity-oriented improvement science as organizational resilience: a cross-case comparison of collective thriving
Authors: Anderson Erin , Ringer James
Published: August 2024

Introduction

This paper explores organizational resilience by applying the theory of social embeddedness of thriving at work from the positive organizational psychology research through a cross-case comparison of five schools involved in improvement work during the pandemic.

Methods

Using document analysis, observation, and interviews, this study is framed through the literature on workplace stress in schools under pressure and argues that schools with limited resources, such as schools in need of improvement, need to rethink how educators spend time together to improve together if we hope to retain thriving (energetic, motivated, and cognitively engaged) educators.

Findings

The findings focus on collective thriving as demonstrated through the work behaviors embedded in equity-focused improvement in teams (Design Improvement). We explore what collective thriving looks like in two of the five schools, including a discussion of the resources produced from the equity-centered continuous improvement work that supports thriving. Lastly, we provide a comparative analysis of the contextual factors that led to these two schools thriving during this time, as compared to other schools in their cohort.

Discussion

The two schools collectively thrived during the 2020–21 schools year through (a) a systematic approach with common, transparent routines, and (b) inclusive social learning through collective and multiple perspectives.
The association between circulating irisin levels and osteoporosis in women: a systematic review and meta-analysis of observational studies
Authors: Shen Xiaoyang , Chen Yan , Zhang Jing , Yang Meina , Huang Lu , Luo Jiaqi , Xu Liangzhi
Published: August 2024

Objective

This systematic review and meta-analysis aimed to investigate the association between circulating irisin levels and osteoporosis in women, exploring irisin’s potential role in the pathophysiology and management of osteoporosis.

Method

We searched PubMed, Embase, Web of Science, Cochrane Library, CNKI, WanFang, and VIP databases up to January 2023. The inclusion criteria were observational studies reporting on circulating irisin levels in women. The standardized mean difference (SMD) and correlation coefficients with a 95% confidence interval (CI) were used as the main effect measures under a random-effects model. Heterogeneity was evaluated using the Cochrane Q statistic and the I2 statistics. Subgroup analysis and univariate meta-regression analysis were performed to identify the sources of heterogeneity. The quality of the included study was assessed by the Newcastle-Ottawa Score. The quality of evidence was evaluated using the GRADE system. Publication bias was assessed using Begg’s and Egger’s test, and the trim-and-fill method. Sensitivity analysis was performed to assess the stability of the results.

Results

Fifteen studies with a total of 2856 participants met the criteria. The analysis showed significantly lower irisin levels in postmenopausal osteoporotic women compared to non-osteoporotic controls (SMD = -1.66, 95% CI: -2.43 to -0.89, P < 0.0001; I2 = 98%, P < 0.00001) and in postmenopausal individuals with osteoporotic fractures than in non-fractures controls (SMD = -1.25, 95% CI: -2.15 to -0.34, P = 0.007; I2 = 97%, P < 0.00001). Correlation analysis revealed that irisin levels positively correlated with lumbar spine BMD (r = 0.37, 95% CI: 0.18 to 0.54), femoral BMD (r = 0.30, 95% CI: 0.18 to 0.42), and femoral neck BMD (r = 0.31, 95% CI: 0.14 to 0.47) in women. Despite significant heterogeneity, the robustness of the results was supported by using the random effects model and sensitivity analysis.

Conclusion

The current evidence suggests that lower irisin levels are significantly associated with osteoporosis and fracture in postmenopausal women, suggesting its utility as a potential biomarker for early detection of osteoporosis and therapeutic target. However, further high-quality prospective research controlling for confounding factors is needed to clarify the relationship between irisin levels and osteoporotic outcomes.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO, identifier CRD42023410264.
Elevated triglyceride-glucose index associated with increased risk of diabetes in non-obese young adults: a longitudinal retrospective cohort study from multiple Asian countries
Authors: Han Jian , Dai Weifeng , Chen Lixia , Huang Zhenhua , Li Chengzhi , Wang Keke
Published: August 2024

Objective

Previous studies have confirmed a positive correlation between the Triglyceride-Glucose (TyG) index and future risk of diabetes. However, evidence of this association in non-obese young populations remains limited. This study aims to investigate the relationship between the TyG index and the future risk of diabetes among non-obese young adults.

Methods

This retrospective cohort study included 113,509 non-obese young adults from China and 9,549 from Japan. The mean age was 35.73 ± 6.38 years, and 56,469 participants (45.89%) were male. The median follow-up duration was 3.38 years. The association between baseline TyG index and risk of diabetes was examined using Cox proportional hazards regression models. Non-linear relationships between the TyG index and risk of diabetes were identified using cubic splines and smoothed curve fitting in the Cox models. Sensitivity and subgroup analyses were also conducted.

Results

After adjusting for covariates, the results indicated a positive correlation between the TyG index and risk of diabetes in non-obese young adults (HR=3.57, 95% CI: 2.92-4.36, P<0.0001). A non-linear relationship was observed with an inflection point at 7.3. The HR to the right of this inflection point was 3.70 (95% CI: 3.02-4.52, P<0.0001), while to the left, it was 0.34 (95% CI: 0.06-1.88, P=0.2161). The robustness of our findings was confirmed through a series of sensitivity analyses and subgroup analyses.

Conclusion

This study reveals a positive and non-linear association between the TyG index and risk of diabetes among non-obese young adults. Interventions aimed at reducing the TyG index by lowering triglycerides or fasting glucose levels could substantially decrease the future likelihood of developing diabetes in this population.