bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALIZA VJEŠTINA ZA ZANIMANJE RUKOVODITELJA/ICE RAČUNOVODSTVA: PERSPEKTIVA POSLODAVACA, RAČUNOVOĐA I STUDENATA U HRVATSKOJ
Authors:   Sveučilište J. J. Strossmayera u Osijeku, Ekonomski fakultet, Mijoč Ivo , Dropulić Ivana , Galant Adriana
Published: June 2024

Posjedovanje određenih vještina neophodno je za obavljanje računovodstvenih poslova. Međutim, percepcija važnosti tih vještina može se razlikovati između poslodavaca, računovođa i studenata kao potencijalnih budućih računovođa. Na tragu istraživanja usklađenosti vještina koje se stječu visokim obrazovanjem, onih traženih od strane poslodavaca te onih koje same računovođe smatraju važnim, ova studija ispituje koje su to nužne, a koje opcionalne vještine za zanimanje rukovoditelja/ice računovodstva. Promatrane vještine proučavaju se iz perspektive poslodavaca, računovođa i studenata završne godine ekonomskih fakulteta u Hrvatskoj kako bi se utvrdilo postoji li značajno odstupanje u percepciji važnosti promatranih vještina između triju skupina ispitanika. Rezultati istraživanja ukazuju da su najvažnije vještine planiranje, organiziranje i nadziranje vlastitog rada te vođenje poslovnih knjiga i sastavljanje financijskih izvještaja, uz podršku računovodstvenog programa, dok je vještina prezentiranja ključnih računovodstvenih informacija ocijenjena kao najmanje važna. Nadalje, rezultati istraživanja potvrđuju postojanje jaza očekivanja pri promatranim vještinama između poslodavaca, računovođa i studenata, ali i neočekivanu usklađenost procjena među poslodavcima i računovođama.
THE ROLE OF EDUCATIONAL CONTENT MARKETING – CASE STUDY ANALYSIS OF ICT COMPANIES
Authors:   University of Zagreb, Faculty of Organization and Informatics, Gregurec Iva , Mandić Miroslav , Bakić Jelena
Published: June 2024

This paper explores the role of educational content marketing, within a digital marketing strategy, applied by software and application development companies for their business-to-business communication. Qualitative research for collecting primary data was conducted through in-depth interviews on a non-probability sample of experts. Considering the complexity of the products and business models of the companies from the sample, the purpose of the research was to determine how those companies establish a business relationship, how they use educational content marketing and what is its role in communication with other companies. The results indicate that the role of educational content marketing, for the companies in the sample, is crucial in expanding the market, creating new business opportunities, as well as in the sales process, especially in operations of high financial value.
Hyperparameter Optimization of Random Forest for 5G Coverage Prediction
Authors: Hajiar Yuliana
Published: June 2024

Utilizing of 5G technology has become a major focus in the development of more advanced and efficient telecommunications networks. In this context, 5G coverage prediction becomes an important aspect in network planning to ensure optimal user experience. In this study, we explore the use of Random Forest algorithm to predict 5G coverage, with special emphasis on the hyperparameter optimization process to improve model performance. We conduct experiments with various hyperparameter combinations, including 'max_depth', 'max_features', 'min_samples_leaf', 'min_samples_split', and 'n_estimators', using hyperparameter optimization techniques. The results show that by paying attention to the optimal combination of hyperparameters, we managed to significantly improve the performance of the model. The optimized model produces a Minimum Root Mean Squared Error (RMSE) of 0.6, which is much better than the Random Forest model without hyperparameter optimization which has an RMSE of 1.14. The result of this study confirms the importance of the hyperparameter optimization process in improving the accuracy and consistency of the Random Forest model for 5G coverage prediction. The results have important implications in supporting the development of a successful 5G network infrastructure in the future.
Aşırı Dağılımlı Sayılabilir Verilerin GLMM ile Modellemesi
Authors: Tatlıyer Tunaz Adile
Published: June 2024

Bu çalışmanın amacı, varyansın ortalamadan büyük olduğu Poisson dağılımlı verilerde, aşırı yayılım sorununun giderilmesidir. Bu amaçla Türkiye İstatistik Kurumu (TÜİK) hayvancılık istatistiklerinden elde edilen, IBBS-1 düzeyinde arıcılık yapan işletme varlığına ilişkin 2004 yılı ile 2022 yılları arasındaki veriler kullanılmıştır. Aşırı yayılım probleminin giderilmesi için, genelleştirilmiş doğrusal karma modellerde (GLMM) farklı model algoritmaları kullanılarak dört model oluşturulmuştur. Modellemelerde birinci model olarak aşırı yayılım durumu kontrol edilmiştir. Aşırı yayılım varlığı tespit edildikten sonra Poisson ve Negatif Binom dağılımı varsayımı ile birlikte modellere şansa bağlı etkiler ilave edilmiştir. Arıcılık yapan işletme varlığına ilişkin verilerde, aşırı yayılımın giderildiği modellerde (Model 2, 3, 4) sabit etki olan yıl etkisi önemsiz bulunurken, aşırı yayılımın görüldüğü Model 1’de yıl etkisi çok önemli bulunmuştur (p
β-Galactoside α 2-6 Sialyltransferase gene expression in Bombyx mori tissues
Authors: Ersoy Ceren , İzzetoğlu Savaş , Turgay İzzetoğlu Gamze
Published: June 2024

Bombyx mori is an important insect due to its genome, homology to humans, and ease of growth. Sialylation has been reported in some insects, but sialic acid biosynthesis cannot be observed in these insects. Sialic acids are negatively charged nine carbon sugars located terminally on glycoconjugates. Sialylation, which occurs after translation and is regulated by enzymes, has been studied in prokaryotes, dueterostomes, and protostomes. One of the enyzme that important for sialylation is sialyltransferases. This enyzme play role at linked sialic acid to glycoconjugates. In this study we investigated sialyltransferase (β-Galactoside α-2,6-Sialyltransferase I) gene expression in tissues of B. mori. B. mori larvae, which were fed with fresh mulberry leaves since hatching, were divided into two groups; the control group, which continued to be fed with fresh mulberry leaves in the 5th instar (last instar) and the treatment group, which was fed with mulberry leaves treated with sialic acid solution. Midgut, fat body, hemocyte, ovary and testicular tissues were dissected and gene expressions were examined with Real-Time PCR. The expression level observed in every tissue but increase seen in only fat body. Fat body is very important tissue for insect, plays a fundamental role in immunity, endocrine and detoxification processes. The reason for the highest gene expression in fat body can be attributed to the similarities in the functions of fat body and sialic acid and their roles in insects.
Analisis Pengaruh Bukaan Katup Terhadap Kapasitas dan Efisiensi Pompa Sentrifugal 3 Sudu pada 1600 RPM
Authors: Basuki Basuki , Rosadi Mohammad Munib , Pramitasari Retno Eka , Hadi Fajar Satriya , Wati Dian Anisa Rokhmah
Published: June 2024

Fluid is a substance that is capable of flowing. The types of fluids that are often used in everyday life are liquid fluids and gas fluids. To drain the fluid you need a laundry device called a pump. The working principle of the pump is to provide pressure or energy to the fluid. This type of research is experimental research, namely, researchers carry out experiments to obtain data in the form of numbers or quantitative data. Researchers varied the valve openings from 0o, 25o, 45o, and 65o and used a pump rotation of 1600 RPM. This research plan is to determine the effect of valve opening on pump capacity and efficiency. The research results show that the pump capacity and efficiency results at valve openings from 0o to 65o have increased significantly. The greatest capacity and efficiency occur at 65o valve openings with a value of 6 L/M and 43.2%.
A Review article of pharmacovigilance and studies of clinical research for health care
Authors: Shaikh Shoheb Shakil , Bharati Anuja , Dubey Teena , Thakur Ruchi , Bhosale Kadambari , Bhoir Prashant
Published: June 2024

Pharmacovigilance, the science and activities related to the detection, assessment, understanding, and prevention of adverse effects or any other drug- related problems, is intrinsically linked to effective information management. The pivotal role of information in pharmacovigilance encompassing data collection, analysis, and dissemination for optimal patient safety. The foundation of pharmacovigilance lies in robust information system that facilitate the collection of adverse event reports from healthcare professionals, patients, and other stakeholder. The evolution of data sources, emphasizing the integration of electronic health records, wearable devices and real world evidence to enhance the depth and breadth of information available for analysis. Innovative technologies, including artificial intelligence and machine learning, are transforming pharmacovigilance by automating signal detection and predictive modeling. How those tools are utilized to sift through vast datasets, identifying potential safety concerns and aiding regulatory decision-making. Furthermore, the abstract delves into the importance of structured information sharing between regulatory agencies, pharmaceutical companies, healthcare providers. Timely transparent communication of safety information ensure a proactive response to emerging risk and enable the development of effective risk management strategies.

The continues evaluation of information management strategies to adapt to the complexities of modern healthcare and pharmaceutical innovation. In essence, this abstract illuminates the symbiotic relationship between pharmacovigilance and information management, showcasing how the effective utilization of diverse and high quality data is fundamental to advancing drug safety practices and safeguarding public health.
تخطيط استعداد المعلمين لتعليم الأطفال المشخصين باضطراب طيف التوحد ودعمهم في رأس الخيمة
Authors: بنسون سارة , بيريبا بريثفي
Published: June 2024

وفقاً لمنظمة الصحة العالمية، فإن مرض التوحد هو أحد حالات الإعاقة الأكثر انتشاراً في العالم. وما زال عدد الأطفال الذين شُخصوا بمرض التوحد يرتفع على الصعيد العالمي، بما في ذلك في الإمارات العربية المتحدة. فقد أثبتت البحوث أن توفير التعليم الملائم هو أحد أفضل الطرق لدعم الأطفال والشباب المشخصين باضطراب طيف التوحد، وأن موقف المعلم يؤثر تأثيراً بالغاً في إدماج هؤلاء الأطفال في المدرسة. ومع ذلك، لم يُجر إلا القليل من البحوث في الإمارات العربية المتحدة. ولسد هذه الثغرة، أُجريت هذه الدراسة في رأس الخيمة لفهم المعرفة الحالية للمعلمين ومواقفهم تجاه الطلاب المشخصين باضطراب طيف التوحد. فباستخدام استبيان إلكتروني، جُمع تسع وثلاثون إجابة من المعلمين في رأس الخيمة. وتظهر النتائج أن المعلمين يتمتعون بمعارف متباينة عن التوحد، إذ إنهم قد أثبتوا فهماً جيداً للتوحد في بعض الجوانب، لكن تنقصهم معلومات ومعارف في جوانب أخرى. وبالمثل، على الرغم من أنهم يدعمون مفهوم التعليم الدامج، فقد أعربوا عن قلقهم إزاء إدماج الطلاب الذين قد يحتاجون إلى دعم إضافي بسبب اختلافاتهم في السلوك والتواصل. واستناداً إلى نتائج البحوث، فإن هذه الورقة توصي بخطوات يمكن اتخاذها من أجل زيادة ممارسات التعليم الدامج من أجل الطلاب المشخصين باضطراب طيف التوحد في الإمارة.
The Evaluation of Relationships between Milk Composition Traits and Breeds with Categorical Principal Component Analysis in Akkaraman and Awasi Sheep
Authors: Çak Bahattin , Keskin Sıddık , Aydemir Gökhan
Published: June 2024

Background: This study aims to determine the relationship between milk composition traits and breed in the Akkaraman and Awasi sheep as well as to provide ease of interpretation by showing the relationships structure between variables and between categories of variables in two-dimensional space with Categorical principal component analysis. Methods: Categorical principal component analysis determines relationships between continuous and categorical variables as well as ordinal variables. It aims to reduce system dimensionality through optimal scaling while maintaining variable measurement levels (nominal, multiple nominal, ordinal and interval). In this research, data obtained from Akkaraman and Awasi Breed Sheep Raised by Public Hands in Tuşba District of Van Province were used. In order to determine relationship with breed, the traits were divided into two categories, “low” and “high” and all variables (9 variables) were considered together and a Categorical principal components analysis was performed. Result: As a results, Dimension 1 accounted for 35.58% of the total variation while dimension 2 accounted for 15.21%. Two dimensions together accounted for 50.79% of the variation. Thus it can be noted that Categorical principal component analysis can be used in the analysis of data sets containing a large number of different types of variables with linear or non-linear relationships between them.
Potassium Nutrition in Rice (Oryza sativa L.) for Higher Yield with Lower Sodium Uptake under Saline Conditions of Central Vietnam
Authors: Trinh Thi Sen , Hoang T.T.H. , Vu T.M. , Tran T.H.S. , Tran V.T. , Alharby H.F.
Published: June 2024

Background: Potassium (K) is an essential macronutrient, improves rice yield and contributes to salt stress tolerance. This study determined the best potassium (K) application level on yield formation and the saline resistance capability of rice under salinity field conditions of central Vietnam. Methods: Experiments were comprised of five K fertilizer application rates (0, 25, 50, 75 and 100 kg K2O/ha) and two rice varieties, viz, OM8104 and MNR3 for two growing seasons of 2021 and 2022. All treatments were arranged in a split-plot design with 3 replicates in Duy Vinh commune, Duy Xuyen district, Quang Nam province. Result: Potassium application affected the number of panicles per unit area, filled grain per panicle and actual grain yield of both rice varieties in both seasons under saline condition. Application of 50 kg K2O/ha reduced the soil salinity over the monitoring periods compared to the other K rates. EC values of soil were significantly higher during the hot season than the wet season showing high temperature effects. Application of 50 kg K2O/ha also accumulated maximum dry matter at different crop stages and produced the highest rice yield with 7.57 and 5.25 tons/ha for OM8104 and 7.35 and 5.18 tons/ha for MNR3 in both wet and hot seasons respectively. The harvest index could not affect significantly by K application irrespective of seasons and varieties. These increases in actual grain yields using 50 kg K2O/ha were attributed to increased filled grains per panicle, accumulation of high K+ content and K+/Na+ ratios in rice varieties in both seasons under saline field condition.
ESCRITURA Y PRODUCCIÓN DE CONOCIMIENTO EN PROGRAMAS DE FORMACIÓN DOCENTE
Authors: BRACHO PÉREZ KLEEDER J. , ESCALONA LINARES JORGE LUIS
Published: June 2024

Los programas de formación docente deben desarrollar el potencial intelectual de sus estudiantes, a través de la producción escrita, con el propósito de que construyan auténticos aprendizajes y sean sujetos críticos, capaces de interpretar y transformar su realidad y la del entorno, pero aún se siguen esquemas tradicionalistas, haciendo que el alumno se apropie de conocimientos pasivos, estáticos y repetidor. Se sugiere a los programas de formación docente, ingresar a la cultura de la escritura como producción de conocimiento, que les permitan ingresar a sus estudiantes y profesores a las distintas comunidades de pensamiento, que lo conduzca a reflexionar, a problematizar sobre lo que escribe con visión crítica, haciendo revisión de sus prácticas a fin de que éstos desempeñen su función como actores que orientan el aprendizaje y generan conocimientos.
Russia and the Far-Right: Insights From Ten European Countries
Authors: Renard Thomas , Molas Bàrbara
Published: June 2024

Russia’s influence over far-right/ racially or ethnically motivated violent extremist (REMVE) milieus in Europe is multi-faceted and complex. It involves direct activities, such as financing or political support, as well as indirect activities, such as disinformation campaigns. In some cases, Russia was associated, albeit remotely, with some far-right violent incidents in Europe, including the alleged coup attempt by the sovereign movement Reichsburger, in Germany. Recognising the increasingly confrontational policy of Russia vis-à-vis Europe, and the growing threat from far-right extremism in Europe, this book thoroughly and systematically reviews Russia’s relationship with diverse far-right actors in ten European countries over the past decade. The countries covered in this book include Austria, The Czech Republic, France, Germany, Hungary, Italy, Poland, Serbia, Slovakia, and Sweden. The chapters are authored by some of the world’s most authoritative experts on extremism and Russian influence. Overall, this edited volume is the first such comprehensive attempt at mapping the scope and depth of Russian influence over far-right extremism in Europe, resulting in the identification of key patterns of influence and offering some possible recommendations to counter it. This book is both a leading scholarly work, as well as a wake-up call and guide for action for European policy-makers.
How do pre-service mathematics teachers resolve proportion tasks? Focus strategy of proportion solving
Authors: Sugiarni Rani , Herman Tatang , Suryadi Didi , Prabawanto Sufyani
Published: June 2024

Abstract Problem solving for proportion problems has not fully incorporated various appropriate strategies. This study aimed to identify and analyze the strategy used by pre-service mathematics teachers in solving proportion problems. This research used a qualitative method with a phenomenological design. The participants of this study were 29 pre-service mathematics teachers with the characteristics of having learned the concept of proportion. Data were collected using tests, interviews, observation, and document study techniques. Data were analyzed in stages, starting with data collection, data reduction, data review, and results conclusion, to solve proportion problems. The results obtained were in the form of a description of the techniques used in solving proportion tasks. Pre-service mathematics teachers mostly used the cross-product strategy in solving proportion tasks. The results of this study can be used as a basis for developing hypothetical learning trajectories for comparison learning for pre-service mathematics teachers in the future.
Abstrak Penyelesaian soal proporsi belum sepenuhnya memasukkan berbagai strategi yang tepat. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis strategi yang digunakan guru matematika calon guru dalam menyelesaikan masalah perbandingan. Penelitian ini menggunakan metode kualitatif dengan desain fenomenologis. Partisipan penelitian ini berjumlah 29 mahasiswa calon guru matematika dengan karakteristik telah mempelajari konsep proporsi. Data dikumpulkan dengan menggunakan teknik tes, wawancara, observasi, dan studi dokumen. Data dianalisis secara bertahap, dimulai dari pengumpulan data, reduksi data, penelaahan data, dan penarikan kesimpulan hasil, untuk menyelesaikan masalah proporsi. Hasil yang diperoleh berupa uraian tentang teknik-teknik yang digunakan dalam menyelesaikan tugas proporsi. Mahasiswa calon guru matematika sebagian besar menggunakan strategi cross produk dalam menyelesaikan tugas proporsi. Hasil penelitian ini dapat digunakan sebagai dasar untuk mengembangkan hypothetical learning trajectory untuk pembelajaran perbandingan bagi mahasiswa calon guru matematika di masa yang akan datang.
A Relação Entre a Pandemia da Covid-19 e Ações de Saúde Mental no Trabalho
Authors: Dias Dourado Amanda , Zambroni-de-Souza Paulo César , Bolis Ivan
Published: June 2024

O objetivo deste estudo foi compreender a percepção dos profissionais da gestão de pessoas em relação às mudanças nas ações de saúde mental decorrentes do período de pandemia de covid-19. A Psicodinâmica do Trabalho foi utilizada como referência teórica principal. Trata-se de um estudo de campo do tipo qualitativo, com delineamento não experimental e com caráter descritivo e exploratório. Participaram 13 profissionais da gestão de pessoas de diferentes lugares do Brasil. Foram realizadas entrevistas individuais e online por meio da plataforma Google Meet, investigadas pela análise de conteúdo temática. Os resultados mostram que houve o desenvolvimento de projetos em saúde mental no modelo online e iniciativas de contratação de psicólogos. Entretanto, as ações não estimularam a formação de espaços de deliberação que produzissem um coletivo capaz de proteger a saúde mental dos trabalhadores. Igualmente, ainda há uma atribuição de ações legalistas, de cumprimento das normas legais.
Комп’ютерне моделювання можливостей застосування алгоритмів Фур’є селекції топологічної інформації на полімерних носіях
Authors: Огірко Михайло Олегович , Горський Михайло Петрович , Солтис Ірина Василівна , Дуболазов Олександр Володимирович , Ушенко Олександр Григорович , Морфлюк-Щур Вікторія Валеріївна , Слоцька Лілія Станіславівна
Published: June 2024

За останній час інтенсивно створюються нові аналітичні алгоритми для систем цифрової обробки графічних зображень — від схем, креслень, текстів, документації, рекламної продукції.
Одним з важливих напрямів є створення теоретичної алгоритмічної бази для покращення якості оптичних зображень графічної інформації, що міститься на полімерних носіях. Актуальність цього обумовлена тим, що такі зображення містять декілька складових. Перша — інформаційна (у нашому випадку крупномасштабна модельна структура, яка сформована впорядкованими за напрямами двопроменезаломлюючими циліндрами — аналог графічної інформації).
Друга — фонова (у нашому випадку дрібномасштабна модельна структура, яка сформована шаром двопроменезаломлюючих сферичних кульок — аналог розсіюючої полімерної підкладки).
Для розвитку методів покращення якості графічних зображень актуальне завдання розроблення алгоритмічної бази для інструментально-оптичної диференціації таких складових. Зокрема, масштабно-селективного Фур’є аналізу для алгоритмічної диференціації різномасштабніх складових оптичного поля.
Ідея такого, нового для графічної інформації, аналітичного підходу базується на просторово-частотній фільтрації різноманітних зображень топографічної інформації на різноманітних носіях.
Алгоритмічна реалізація даного методу включає такі узгоджені аналітичні або інструментальні етапи: «пряме Фур’є-перетворення»; «просторово-частотна фільтрація»; «зворотне Фур’є-перетворення» лазерних зображень.
Таким чином, актуальним є алгоритмічна розробка нових оптичних і поляризаційних методів обробки графічних зображень з використанням узгодженої просторово-частотної фільтрації для селекції інформаційної та фонової компонент. Наша стаття являє собою один з початкових (у рамках модельного аналізу) кроків у даному напрямі.
Multi-model Assessment of Climate Change Impacts on the Streamflow Conditions in the Kasai River Basin, Central Africa
Authors: Lesani Samane , Zahera Salomon Salumu , Hassanzadeh Elmira , Fuamba Musandji , Sharifinejad Ali
Published: June 2024

The Congo River Basin is the second-largest watershed globally, flowing through nine countries before reaching the Atlantic Ocean. The Kasai River Basin (KARB), containing about one-fourth of Congo’s freshwater resources, plays a strategic role in sustaining navigation, food production, and hydroelectricity generation in Central Africa. A multi-model framework suited for data scarce regions is applied for climate change impacts on water availability in the KARB to propose effective development plans in the future. This includes consideration of two conceptual hydrological models calibrated using four reanalysis datasets and fed with bias-corrected outputs of 19 climate models under two future Representative Climate Pathways (RCPs). Changes in mean annual discharge in the KARB from -18% to +3% are projected depending on the considered modeling configuration. This shows the sensitivity of impact assessment to the choice of models as well as input data. Moreover, about 9%, 18%, and 13% decline in streamflow signatures (Q10, Q50 and Q90) are projected based on the ensemble of models under RCP 8.5. A decrease of 14% and 5% in annual hydropower potential of the mainstream is estimated under RCPs 4.5 and 8.5, respectively. These changes in flows conditions should be considered in decision-making around constructing reservoirs and hydroelectricity generation.
Impact of Instagram on the Physical and Mental Well-Being of Indian Youth: A Critical Review
Authors: Dhiman Dr. Bharat
Published: June 2024

Instagram has grown in popularity among youth and is currently the second-favorite social network in the world. One of the social media that is widely used nowadays is Instagram. According to Enterprise (2012:02), Instagram is a community shared among one member with other members from all over the world. This study examines the impact of Instagram on the physical and mental well-being of Indian youth. With the rapid proliferation of social media platforms in India, Instagram has emerged as a prominent influence on the lives and perceptions of young individuals.Through a systematic synthesis of existing literature, this review paper critically evaluates the effects of Instagram use on various dimensions of youth well-being, considering both the opportunities and challenges posed by this popular social media platform. The review explores the nuanced relationship between Instagram and youth health outcomes. Specifically, it examines the influence of Instagram on body image perceptions, self-esteem, social comparison, and mental health. The review considers the cultural context and nuances that shape the impact of Instagram within the Indian socio-cultural landscape.
Quantifying the Cross-Sectoral Intersecting Discrepancies Within Multiple Groups Using Latent Class Analysis Towards Fairness
Authors: Yuan Yingfang , Pang Wei
Published: June 2024

The growing interest in fair AI development is evident. The ''Leave No One Behind'' initiative urges us to address multiple and intersecting forms of inequality in accessing services, resources, and opportunities, emphasising the significance of fairness in AI. This is particularly relevant as an increasing number of AI tools are applied to decision-making processes, such as resource allocation and service scheme development, across various sectors such as health, energy, and housing. Therefore, exploring joint inequalities in these sectors is significant and valuable for thoroughly understanding overall inequality and unfairness. This research introduces an innovative approach to quantify cross-sectoral intersecting discrepancies among user-defined groups using latent class analysis. These discrepancies can be used to approximate inequality and provide valuable insights to fairness issues. We validate our approach using both proprietary and public datasets, including EVENS and Census 2021 (England \& Wales) datasets, to examine cross-sectoral intersecting discrepancies among different ethnic groups. We also verify the reliability of the quantified discrepancy by conducting a correlation analysis with a government public metric. Our findings reveal significant discrepancies between minority ethnic groups, highlighting the need for targeted interventions in real-world AI applications. Additionally, we demonstrate how the proposed approach can be used to provide insights into the fairness of machine learning.
Zircon U-Pb Age, Sr-Nd-Hf Isotopic Characteristics of Baiyinhushuo Adakite in Inner Mongolia:Implications for Tectonic Evolution
Authors: Fan Yuxu , Xiao Qinghui , Cheng Yang , Li Yan
Published: June 2024

The petrogenesis and geodynamic implications of the early Paleozoic adakitic rocks in the east of Inner Mongolia remain topics of debate. In this study, petrology, zircon U–Pb age and Lu–Hf isotopic composition, whole-rock geochemistry and Sr–Nd isotopes from adakitic rocks. Zircon U–Pb dating results demonstrate that the formation age is 242.8±1.0Ma, 247Ma，which is the product of Early Triassic magmatism. Petrology and geochemical study have shown that the granodiorite have high SiO2 (66.93% ~69.40%), Al2O3(15.37% ~ 15.43%), MgO (1.35% ~1.55%), with LREE enrichment and HREE deficit，and they have high Sr, low Y. and high Sr/Y ratios, showing typical signatures of adakitic rocks. The εHf(t) values of zircon vary between +11.3 and +13.8, with a low whole-rock (87Sr/86Sr)i ( 0.703382 )and positive εNd(t) values, the average Mg# of the rock is 56.14, suggesting that adakite derived from partial melting of MORB, and magma interaction with the mantle. Comprehensive analysis suggests that during the Late Permian to Early Triassic, the subducted slab of the Paleo-Asian Ocean broke off, and the residual oceanic slab preserved in the mantle beneath the subduction zone underwent partial melting, generating adakitic magma.
Real-world Evidence on Use of Ceftazidime-Avibactam in the Management of Gram-Negative Infections: A Retrospective Analysis
Authors: Todi Subhash , Sathe Prachee , Ramasubramanian Venkatasubramanian , Swaminathan Subramanian , Talwar Deepak , Prayag Parikshit , Rao Polati Vishnu , Sabnis Kirti , Kamat Shweta , Mane Akshata , Thanusubramanian Harish
Published: June 2024

There is limited real-world data from India examining the treatment characteristics, safety, and efficacy of ceftazidime-avibactam against Gram-negative organisms especially multidrug-resistant pathogens including Carbapenem-Resistant Enterobacterales and Carbapenem-Resistant Pseudomonas. In this retrospective study, the real-world treatment patterns, effectiveness, and safety of ceftazidime-avibactam in treating Gram- negative infections were assessed. Data was extracted from electronic health records of adult patients admitted to the hospital with documented Gram-negative infection who had received treatment for at least 48 hours with ceftazidime-avibactam as a part of routine clinical management. Among the 189 patients, on day 3, clinical symptoms improvement was recorded in 79.6% of patients. Clinical success was achieved in 79.5% and 76.3% of assessed patients on day 7 and day 14/End-of-treatment, respectively. Microbiological success was reported in 76% of patients on day 7 and in 60.3% of patients on day 14 or EOT. The mean treatment duration of ceftazidime-avibactam therapy was 6.92 (± 4.1) days. No new safety concerns were identified. In conclusion, this study provides real-world evidence on treatment patterns and clinical outcomes associated with ceftazidime-avibactam in India, complementing the previously reported literature. The results suggest ceftazidime-avibactam is an effective and tolerable option for the management of Gram-negative infections in critically ill patients.
Treatment of Oily Effluents Using a Bacterial Cellulose Membrane as the Filter Bed
Authors: Medeiros Alexandre D’Lamare Maia de , Silva Junior Cláudio José Galdino da , Durval Italo José Batista , Souza Thais Cavalcante de , Cavalcanti Yasmim de Farias , Costa Andréa Fernanda de Santana , Sarubbo Leonie Asfora
Published: June 2024

One of the main challenges in the treatment of industrial wastewater is the removal of oil-in-water emulsions, which are stable and therefore difficult to treat. Bacterial cellulose (BC) has structural characteristics that make it an ideal filtration membrane. The present study investigated the effectiveness of a BC membrane filtration system for the treatment of oily industrial wastewaters. The results demonstrated that BC is highly effective at removing oily contaminants (~99%), reducing the colour and particulate matter of wastewater, as well as eliminating nearly the entire microbiological load (~99%). SEM, MEV, FTIR, XRD, and TGA demonstrated the presence of oil in the interior of the membrane after filtration, characteristic peaks of its chemical composition, and a 40% reduction in crystallinity. TGA revealed an increase from three (pre-filtration) to five (post-filtration) stages of thermal degradation, indicating the retention of the contaminant in the BC. The mechanical tests demonstrated that the membrane has tensile strength of 72.13 ± 8.22 MPa and tolerated elongation of up to 21.11 ± 4.81% prior to tearing. The BC membrane also exhibited excellent flexibility, as it could be folded > 100 times at the same point without exhibiting signs of tearing. The BC surpasses traditional methods, such as activated charcoal and effluent treatment stations, in the removal of emulsified oils. The findings demonstrate that BC is promising for the treatment of industrial wastewaters, which is a field that requires continual technological innovations to mitigate the environmental impacts of the oil industry.
Prevalence of Anxiety in COPD Patients. Usefulness of the HADS Test for Establishing the Diagnostic Suspicion of Anxiety Through the Collaboration Between Primary Care, Pulmonology, and Psychiatry Services
Authors: Barrueco Enrique , HERNÁNDEZ-MEZQUITA Miguel Ángel , HIDALGO-SIERRA VANESA , CORDOVILLA ROSA , Olivera-Pueyo Javier , Galan Javier
Published: June 2024

Anxiety disorders, characterized by excessive fear and anxiety, are increasingly recognized as significant comorbidities in chronic diseases such as Chronic Obstructive Pulmonary Disease (COPD).
This study aimed to evaluate the prevalence of anxiety in COPD patients referred from primary care centers to pulmonology services and identify predictive factors for anxiety. Conducted as a multicentric, observational, and prospective study, 293 COPD patients were recruited, undergoing comprehensive respiratory and smoking histories, spirometry, and anxiety assessments using the Hospital Anxiety and Depression Scale (HADS).
These results show: a diagnosis of suspected anxiety in in 85 patients (29.0%): 17 possible and 68 with a strong suspicion. The study found significant associations between anxiety and factors such as gender (women showed a risk 3.5 times higher than men), weight, and body mass index (BMI). Disease severity, smoking status, and clinical manifestations did not significantly influence anxiety prevalence. The findings underscore the need for systematic psychological evaluations in COPD management, advocating for the use of simple diagnostic tools like the HADS to facilitate referrals to mental health services. Addressing anxiety in COPD patients could potentially improve their quality of life and disease outcomes.
The study highlights the importance of a multidisciplinary approach involving family medicine, pulmonology, and psychiatry to optimize COPD patient care and suggests future research should focus on the impact of anxiety treatment on COPD progression. These insights call for integrating psychological assessments into routine clinical practice for comprehensive COPD management.
Van Wyk Grumbach Syndrome and Gonadectomy
Authors: Arellano-Llamas Abril Adriana , Hernández-Caballero Alvaro , Delgado-Mendoza Efrén , Catalán Ruíz Manuel Alejandro
Published: June 2024

Van Wyk Grumbach syndrome refers to the development of peripheral precocious puberty, long-standing hypothyroidism, and gonadal masses; when not diagnosed, an unnecessary gonadectomy may be done; Here we present a case of a 10-year-old girl with Down syndrome, short stature, and vitiligo presented with vaginal bleeding, and a pelvic mass, in whom bilateral gonadectomy was performed. Most cases of Van Wyk Grumbach syndrome present in women, and classic hypothyroidism symptoms always precede the diagnosis; 11% of patients have Down Syndrome, sometimes tumor markers get elevated, and some develop severe symptoms (myopathy, short stature, mental delay, ascites, pericardial effusion, Cullen sign, pituitary hyperplasia, and severe anemia), that respond to levothyroxine treatment; Conclusions: Children with peripheral precocious puberty and gonadal masses, must be studied for hypothyroidism before any radical decision is made. Keywords: Puberty, Precocious; Ovarian Cysts, gonadectomy, Van Wyk Grumbach Syndrome
Field Application of an Innovative Approach to Assess Honeybee Health and Nutritional Status
Authors: Rudelli Cecilia , Galuppi Roberta , Cabbri Riccardo , Dalmonte Thomas , Fontanesi Luca , Andreani Giulia , Isani Gloria
Published: June 2024

Environment, forage quality, management practices, pathogens and pesticides influence honeybee responses to stressors. This study proposes an innovative approach to assess colony health and performance using molecular diagnostic tools, by correlating hemolymph proteins with common measures of colony strength, prevalent honeybee pathogens (Varroa destructor and Nosema spp.) and essential elements (iron, zinc and copper). Colonies were selected from four apiaries in the province of Bologna (Italy), located in different environmental and foraging conditions. Haemolymph samples were taken from June to October 2019. The Varroa infestation of the colonies was estimated by assessing the natural fall of the mites, while the bees were tested for Nosema spp. spores using microscopic method. Proteins were separated using SDS-PAGE and colony performance was assessed by determining adult bees, total brood, and honey and pollen reserves. The biomarkers measured proved to be useful for monitoring changes in performance and trophic conditions during summer and early autumn. Significant correlations were found between haemolymph proteins and colony performance measures. A positive correlation between pollen reserves and vitellogenin and hexamerin 70a highlights the importance of these proteins for successful overwintering. In October, Varroa infestation was negatively correlated with total proteins, vitellogenin, apolipophorin II, transferrin, and hexamerin 70a, with negative implications for overwintering; furthermore, Varroa infestation was also negatively correlated with iron content, potentially affecting iron homeostasis.
Left Atrial Volume Predicts Atrial Fibrillation Recurrence after Catheter Ablation Only in Obese Patients
Authors: Naji Franjo Husam , Alatic Jan , Balevski Igor , Suran David
Published: June 2024

BACKGROUND: It has been shown that obesity and higher body mass index (BMI) are associated with higher recurrence rate of atrial fibrillation (AF) after successful catheter ablation (CA). The same has been proven for left atrial volume index (LAVI). It has also been shown that there is a correlation between LAVI and BMI. However, whether LAVI prognostic impact on AF recurrence is BMI independent, remains unclear. METHODS: We prospectively included 62 patients with paroxysmal AF who were referred to our institution for CA. All patients underwent radiofrequency CA with standard pulmonary veins isolation. Transthoracic 2-D echocardiography was performed one day after CA to obtain standard measures of cardiac function and morphology. Recurrence was defined as documented AF within 6 months of follow-up period. Patients were also instructed to visit outpatient clinic earlier in case of symptoms suggesting AF recurrence. RESULTS: We observed AF recurrence in 27% of patients after 6 months. The mean BMI in our cohort was 29.65 ± 5.08 kg/cm2 and the mean LAVI was 38.04 ±11.38 ml/m2. We further divided patients into 2 groups according to BMI. Even though LAVI was similar in both groups, we found it to be significant predictor of AF recurrence only in obese patients (BMI ≥ 30), but not in the non-obese group (BMI < 30). There was also no significant difference in AF recurrence between both cohorts. The significance of LAVI as AF recurrence predictor in obesity group was also confirmed in multivariate model. CONCLUSION: According to our results LAVI tends to be significant predictor of AF recurrence after successful catheter ablation in obese patients, but not in normal-weight and overweight patients. This would suggest different mechanisms of AF in non-obese patients in comparison to the obese. Further studies are needed in this regard.
Improving VulRepair’s Perfect Prediction by Leveraging the LION Optimizer
Authors: Kishiyama Brian , Lee Young , Yang Jeong
Published: June 2024

In many of the current software applications, numerous vulnerabilities may be present.1 Attackers attempt to exploit existing vulnerabilities that lead to security breaches, unauthorized entry,2 data theft, or incapacitation of a computer system. Rather than addressing software or hardware3 vulnerabilities at a later stage, it is better to address them immediately. DevSecOps, when utilized4 in application development, tackles these vulnerabilities at an early stage. AIBughunter is a tool5 that addresses this problem in software and was developed by the ASWM research group to predict,6 classify, and repair software vulnerabilities. AIBughunter integrates LineVul to find vulnerable7 code lines and returns information about the type of vulnerability and its severity to developers.8 It also includes a tool, VulRepair, which detects and repairs vulnerabilities. VulRepair currently9 predicts patches for vulnerable functions at 44%. In order to become truly effective, this number 10 needs to be increased. This study examines VulRepair to see whether the 44% Perfect Prediction 11 can be increased. VulRepair is a T5 based model that uses Natural Language and Programming 12 Languages for pre-training along with Byte Pair Encoding. It outperforms other existing models, 13 such as VRepair and CodeBERT. However, the hyperparameters may not be optimized due to the 14 development of new optimizers. We review a Deep Neural Network (DNN) optimizer developed by 15 Google in 2023. This optimizer called Evolved Sign Momentum (LION) is available in PyTorch. We 16 applied this optimizer to VulRepair and tested its influence on hyperparameters. After adjusting the 17 hyperparameters, we obtained a 56% Perfect Prediction, which exceeds the value of the VulRepair 18 report of 44%. This means that VulRepair can repair more vulnerabilities and avoid more attacks. As 19 far as we know, our approach of utilizing an alternative to AdamW, the standard optimizer, has not 20 been previously applied to enhance VulRepair and similar models. 21
The Mediating Role of Trait Anxiety in the Relationship between the Organizational Power Resources Used by School Principals and Teachers' Work Alienation Levels
Authors: Ayık Ahmet , Yılmaz İsmail
Published: June 2024

In this study, we examined the effects of the organizational power resources used by school principals on teachers' work alienation and trait anxiety levels. Then, we examined the mediating role of trait anxiety in the relationship between organizational power resources and work alienation. We used the correlational scanning model and mediation model in the research. The research sample consists of 400 teachers working in Turkish public schools. In our research, "Organizational Power Scale in Schools", "Work Alienation Scale" and "Trait Anxiety Scale" were used. As a result of the research, we found significant relationships between the variables. Accordingly, there is a positive relationship between trait anxiety and work alienation, a positive relationship between trait anxiety and coercive power and legal power, a negative relationship between trait anxiety and expert, charismatic and reward power, a positive relationship between work alienation and coercive power, and a positive relationship between work alienation and reward power. Negative relationships were observed between expertise and charismatic power. Finally, it was determined that trait anxiety had a mediating role in the relationship between the power resources used by school principals and the level of work alienation of teachers.
Recyclability of Fire Retarded Biobased Polyamide 11 (PA11) Composites with Basalt Fibers (BF) and Intumescent Fire Retardants (IFR): The Influence of Reprocessing on Structure, Properties and Fire Behavior
Authors: Barczewski Mateusz , Hejna Aleksander , Andrzejewski Jacek , Aniśko Joanna , Piasecki Adam , Mróz Adrian , Ortega Zaida , Rutkowska Daria , Sałasińska Kamila
Published: June 2024

The growing requirements regarding the safety of using polymers and their composites are related to the emergence of more effective, sustainable, and hazardous-limited fire retardants (FR). Significant amounts of FR are usually required to effectively affect the polymer burning behavior, while the knowledge of their recycling potential is still insufficient. At the same time, concerns are related not only to the reduced effectiveness of flame retardancy but, above all, to the potential deterioration of mechanical properties caused by the degradation of temperature-affected additives under processing conditions. This study describes the impact of four-time reprocessing of bio-based polyamide 11 (PA11) modified with an intumescent flame retardant (IFR) system composed of ammonium polyphosphate (APP), melamine cyanurate (MC) and pentaerythritol (PER) and its composites containing additionally short basalt fibers (BF). Composites manufactured by twin-screw extrusion were subjected to four reprocessing cycles by injection molding, comprehensively analyzing structural, mechanical, and fire behavior changes in each cycle. The obtained results confirmed the safety of using the proposed flame-retardant system for polyamide, processed under the recommended process parameters, without the risk of significant changes in the structure despite the partial increase in flammability caused mainly by the degradation of the polymer.
A Malleable Model Development for Critical Systems Supervision Integration
Authors: Lisboa Luciano A. C. , Melo Thamiles R. , Campos Ikaro G. S. A. , Aragão Matheus B. , Ribeiro Alexandre S. , Silva Lucas C. , Silva Valéria L. da , Lima Antonio M. N. , Santos Alex A. B.
Published: June 2024

The critical systems, which the failure and malfunction may result in human, environment and financial severe damages, are essential components in various sectors and particularly in energy domains. Although unwished, integration error problems in supervision of critical systems occurs, incurring significant expenses because of operator’s subjective analysis and on hardware topology failures. In this work, a malleable model design approach is proposed to formulate and solve the integration error problem in the critical systems supervision in terms of reliability. A real Hybrid Power Plant (HPP) case is considered as a requirement for a study case with simulated data. A method framework with informal approach (C4 diagram) and formal approach (Hierarchical Coloured Petri Nets) in radial spectrum is applied to the HPP supervision design. Using formal methods, a formulation and solution to this problem through structured, scalable and compact mathematical representations are possible. This malleable model intends to guarantee functional correctness and then reliability of the plant supervision system based on system software architecture. Outcomes suggest corroboration that the malleable model is appropriate for energy domain, and can be used for other types of critical systems, bringing all the benefits of this methodology to the context in which it will be applied.