bluuebunny/crossref_metadata_2025_split huggingface dataset:
Longitudinal Assessment of Left Ventricle Systolic Function in Acute Myocardial Infarction Patients Post Percutaneous Coronary Intervention
Authors: R DEEPIKA B , Nayak Krishnananda , Lalani Kanhai R , K Abdul Razak U , Nayak Vidya , Samanth Jyothi 
Published: July 2023

Abstract
Purpose: The present study aimed to longitudinally evaluate LV systolic function among patients who underwent primary PCI for acute MI on the basis of culprit vessel.
Methods: A Cohort study was conducted involving 258 patients who underwent primary angioplasty for Acute MI. Each participant underwent an initial echocardiography assessment using a range of methods, including M-mode and two-dimensional measurements, as well as strain and strain rate parameters. Subjects were followed up for a period of one month to assess the LV systolic function.
Results: A significant improvement in LV global strain noted after one month of revascularization (p value=0.013). A significant decrease in Left ventricular global longitudinal strain (LV GLS) value is noted in patients who had major adverse cardiac events (MACE) when compare to event free group. Wall motion score index value and LV end systolic volume were significantly higher in MACE category than event free category.
Conclusion: A study demonstrated an enhancement in left ventricular (LV) systolic function,when measured using Speckle tracking echocardiography than LVEF irrespective of culprit vessel. MACE occurred in 4.3% of Acute MI patients even after successful PCI. The Baseline LV EF and Wall motion score index was proved to be independent predictor of Major adverse cardiac events at one-month follow-up than LV strain.
Flipped Classroom Effects on the Effectiveness of CPR Training in Large Classes by Influencing Medical Students' Self-efficacy
Authors: Wang Xin , Mao Min , Qian Dandan 
Published: July 2023

Abstract
Flipped classroom (FC) is an instructional approach that puts students at the center of their learning. It involves learning the material before class and then applying it in class. Studies have shown that compared to traditional learning (TL), FC has more advantages, especially for medical students who may face critical situations like cardiopulmonary arrest (CA). However, it is still unclear if FC works well in large classrooms. This study aims to investigate the effect of FC on both theory and skill of cardiopulmonary resuscitation (CPR) in medical undergraduates in large classrooms. The study also explores self-efficacy in achieving high-quality CPR through FC. Furthermore, other factors are also considered to explore the possibility of FC to realize personalized studies, such as GPA stratification, gender, and class satisfaction. This quasi-experimental study used a control group and recruited students from the School of Second Clinical Medicine of Southern Medical University in 2019. Students were divided into TL or FC, and each group was further divided into eight units based on GPA. After eight months, a CPR skill test was conducted to assess CPR retention. The study concludes that FC can improve CPR theory and skill for medical undergraduates in large classrooms. Additionally, students in FC retain better CPR skill after eight months, especially for situational CPR.
The Virtual Bonds: Unveiling the Influence of Social Networking Sites on College Students
Authors: ALI SHAHEEN EFRAH 
Published: July 2023

Abstract
Purpose –The purpose of this study is to gain insights into students' usage, purpose, and behavior regarding social media, investigate the relationship between social media use and academic performance, and explore the average time spent by students on social media.
Research Methodology–The study employed a descriptive research design, convenience sampling to gather data from 100 college students in Bareilly District, Uttar Pradesh. Primary data was collected through a structured questionnaire, and analysis was conducted using MS Excel with the frequency and percentage method.
Findings –The study found that most surveyed students, especially those aged 18-21, primarily used social media for chatting and studying. The study also identified potential drawbacks of social media, including time consumption and the risk of cyberbullying.
Research limitations/implications –One limitation of this study is the reliance on self-reported data may be subject to response bias which may affect the generalizability of the findings.
Practical implications –The insights provided by this study can inform educational institutions and policymakers about the impact of social networking sites on college students.
Originality/value –This study provides original insights into their social media behavior, the relationship between social media use & academic performance and the average time spent on social media.
Is the Quality of Governance a Precursor for Regional Disparity or Prosperity?
Authors: Maket Isaiah 
Published: July 2023

Abstract
This study looks at the impetus of quality of state governance in supporting regional inclusiveness akin to developing the Sub-Saharan African region. Whereas the intrinsic value of state governance quality as anecdotes of better development in unique ways is universally accepted and portrays the notion of an inclusive society, its fundamental significance as a path toward equal income distribution and inclusive economic performance is still scantily understood despite the widely emerging literature. This paper's main aim is twofold: review the rising literature and, in a unique way, take a deeper look at the link between the quality of governance and regional disparity or prosperity. Secondly, the paper evaluates where the developing Sub-Saharan Africa stands in various measures of quality of governance and how it influences income inequality. The study utilizes balanced panel data from 22 Sub-Saharan African countries from 2000 to 2021. Further, the study models the relationships between the variables using Panel Fixed Effects (Panel FE-IV) and generalized system method of moments (SsyGMM). The findings show a significant positive link between government effectiveness and income inequality. Also, the results show the non-significant role of FDI in explaining increasing income inequality in SSA, paving the way for future research to interrogate the essence of FDI in promoting economic prosperity, primarily when the SSA region is heavily relying upon FDI inflows for development.
Correlation Matrix as a Smart Filter for Malware Classification Using Ensemble of Novel Feature Selection Algorithms
Authors: Cürebal Faruk , Demirkıran Ferhat , Çayır Aykut , Dağ Hasan 
Published: July 2023

Abstract
While the development of technology has made our lives easier, our dependence on it has also increased. Cybercriminals develop various types of malware to exploit this dependency. Thus, study of malware, for example, malware classification, is essential for security researchers and incident response teams to take the necessary action against it to prevent or reduce the damage intended. This paper investigates the importance of features in a given malware dataset. To this end, we combine three recently proposed feature selection methods: Leave One Feature Out (LOFO) Importance, Feature Relevance-based Unsupervised Feature Selection (FRUFS), and A General Framework for Auto-Weighted Feature Selection via Global Redundancy Minimization (AGRM) to find the most effective subset of features for the objective at hand. This preprocessing is important as it allows working with fewer features, reducing the dimension of the problem at hand. We use the feature subsets from these three different feature selection methods with three different models: Extreme Gradient Boosting (XGBoost), Random Forest (RF), and Histogram-Based Gradient Boosting (HGB) classifiers using a stacking ensemble. From the nine prediction probabilities obtained, we eliminated the prediction probabilities containing similar information by setting a threshold in the correlation matrix. By inputting the final prediction probabilities to the Support Vector Machine (SVM) meta-classifier, we aim to display how effective the proposed scheme could be. Our proposed model obtains an average of 1.2% better classification accuracy than the tested feature selection methods on one of the well-known and most widely used malware datasets (Microsoft Malware Prediction dataset).
Unsupervised domain adaptation of dynamic extension networks based on class decision boundaries
Authors: Chen Yuanjiao , Wang Diao , Zhu Darong , Xu Zhe , He Bishi 
Published: July 2023

Abstract
In response to the problems of inaccurate feature alignment, loss of source domain information, imbalanced sample distribution, and biased class decision boundaries in traditional unsupervised domain adaptation methods, this paper proposes a class decision boundary-based dynamic expansion network unsupervised domain adaptation method called CDE-Net. Specifically, our method dynamically expands the autoencoder-based network structure, which can preserve source domain feature information while gradually adapting to the target domain data distribution and learning useful feature information from the target domain. Meanwhile, by minimizing clustering loss and conditional entropy loss, CDE-Net can explore the intrinsic structure of the data and push class decision boundaries away from dense data areas. We experimentally verify our method on three medical image datasets, chest X-rays, intracranial hemorrhage, and mammography, and achieve an average AUC improvement of 25.8% or more compared to non-transfer methods. In addition, we compare our method with previous unsupervised domain adaptation methods, and the experimental results show that our method achieves better classification accuracy and generalization performance.
Kritisches Denken lehren: Inklusionsorientierte Konzeption von Lernarchitekturen und Aufgabenformaten
Authors: Rott David , Kohnen Marcus 
Published: July 2023

Untersucht wird, wie über den Einsatz von Dilemmata als spezifisches Aufgabenformat Kritisches Denken im inklusiven Unterricht gelehrt und gelernt werden kann. Hierfür werden theoretische Grundlagen zum Kritischen Denkens aufgezeigt und Dilemmata genauer dargestellt. Im empirischen Teil des Beitrags werden Fragebogendaten von Schüler:innen der Sekundarstufe 1 (N=225) zu einem Dilemma ausgewertet, in dem Umwelt- und Tierschutzfragen gegen wirtschaftliche und soziale Interessen gestellt werden. Das Antwortverhalten der Schüler:innen wird diskutiert. Über rekonstruktive Verfahren werden dann interaktionale Prozesse genauer untersucht, die bei einer Bearbeitung des gleichen Dilemmas in einer Gruppenarbeitssituation (N=2) audiographiert wurden. Aus den gewonnenen Ergebnissen können einerseits die Antwortperspektiven der Schüler:innen genauer untersucht werden. Andererseits lassen sich daraus Rückschlüsse ziehen, wie Dilemmata im inklusiven Unterricht aufgebaut und gestaltet sein sollten, damit alle Schüler:innen die Möglichkeit erhalten, sich aktiv in die Arbeitsprozesse einzubringen.

Abstract
It is investigated how critical thinking can be taught and learned in inclusive education by using dilemmas as a specific task format. For this purpose, theoretical foundations of critical thinking are presented and dilemmas are described in more detail. In the empirical part of the study, questionnaire data of students of secondary school level 1 (N=225) are analyzed. In the dilemma environmental and animal protection issues are posed against economic and social interests. The response behavior of the students is discussed. Using reconstructive methods, interactional processes are then examined in more detail, which were audiographed during a processing of the same dilemma in a group work situation (N=2). From the results obtained, on the one hand, the response perspectives of the students can be examined more closely. On the other hand, conclusions can be drawn from the results as to how dilemmas must be structured and designed in inclusive teaching so that all students have the opportunity to actively participate in the work processes.
Turkish-Arab Relations in the Axis of the Question of Palestine and the Establishment of Israel State
Authors: BOSTANCI Mustafa 
Published: July 2023

The question of Palestine issue began when Jewish immigrants settled in Palestine from the 1880s and formed large colonies on the land they purchased, and it evolved into a chronic problem with the establishment of the State of Israel.
The recognition of Israel's independence by Türkiye induced intense reactions in the Arab Middle East and sabotaged the development process of Turkish-Arab relations. Following this act of recognition, Türkiye quickly became distanced to the region and despite all the moves attempted afterwards, Türkiye failed to erase its scars and the desired level of relations could not be achieved. Moreover, the impact of Türkiye's recognition of Israel was deeply felt in the Cyprus issue that emerged in the 1960s, and Türkiye was deprived of the support of the Arab States in this vital question. Considering this recognition and the question of Palestine as a whole, it is understood that Türkiye's abandonment of its stance in support of the Arabs is a concrete indicator of its inconsistency in its foreign policy.
In this article, the author aims to examine and clarify the question of Palestine and the impact of the foundation of Israel State on Turkish-Arab relations.
A three-dimensional study of flow characteristics over different forms of stepped–labyrinth spillways in the skimming flow regime
Authors: Ghaderi Dana , Ebrahimnezhadian Hamzeh , Mollazadeh Mahdi 
Published: July 2023

Abstract

To improve the performance of stepped spillways, their combination with labyrinth spillways is an interesting topic. In this study, several labyrinth configurations of stepped spillways were presented. Validation of the numerical model was done using the results of the previous physical models. After that, three configurations including: conventional stepped, trapezoidal-labyrinth, and rectangular-labyrinth were modeled using the OpenFOAM model for the skimming flow regime. For simulation, the InterFOAM solver and RNG k–ε turbulence model were used. The results showed an increase of 34.7 and 21.1% in energy dissipation in the trapezoidal and rectangular stepped–labyrinth spillways compared to the conventional stepped type, for dc/h = 1.45 (the range of dc is between 8 and 14.5 cm). The flow velocity in the end step of the trapezoidal- and rectangular-labyrinth configuration is reduced by 50.5 and 31.1%, respectively. Furthermore, in the trapezoidal configuration, a 14.7% reduction in flow velocity has been achieved compared to the rectangular stepped–labyrinth configuration. The results showed that the minimum pressure on the vertical faces of the steps occurred in their upper half and the rectangular configuration has resulted in the highest amount of negative pressure. The turbulence kinetic energy, especially in trapezoidal configuration, has increased toward the downstream.
Caracterização física e suscetibilidade aos processos erosivos do município de Ilhéus-Bahia
Authors: Ferreira Silva Patrícia , De Amorim Silva Vinícius , Martinez Tolentino Gabriel , Fontes Baitz Ednice , Henrique Reis Claudio , Dos Santos Lisboa Gerson 
Published: July 2023

Analisar a suscetibilidade fornece base para políticas de prevenção de riscos. O objetivo foi caracterizar os condicionantes ambientais de Ilhéus que contribuem para os processos erosivos. Além de avaliar a suscetibilidade dos fatores declividade, geologia, solos, intensidade pluviométrica, cobertura, uso e ocupação e identificar áreas em risco mediante elaboração de banco de dados contendo classes e valores de estabilidade/vulnerabilidade à erosão. Para desenvolver a pesquisa foi necessário o levantamento de dados bibliográficos; tratamento de imagens digitais para a carta de declividade, geologia, solos, e o uso, ocupação e cobertura da terra com uso de técnicas de geoprocessamento via SIG, além de valores da precipitação média anual (mm) e duração do período chuvoso (meses); envolveu análise baseada na metodologia Crepani (2001), o grau de estabilidade das condicionantes ambientais, aliado aos pesos dos condicionantes ambientais pela AHP Calculator (SAATY, 1991); elaboração de equação multicritério para gerar o mapa final. Os resultados indicam a caracterização dos condicionantes ambientais e seu grau de estabilidade, além das áreas de vulnerabilidade muito alta, alta, média, baixa e muito baixa aos processos erosivos produzida com a integração dos mapeamentos. Obteve-se 19% da área estudada, vulnerabilidade média a muito alta, e vulnerabilidade muito baixa a baixa soma-se 82%.
Samen sporen zoeken van feminisme en verzet
Authors: Stam Dineke 
Published: July 2023

Dineke Stam gebruikt een aantal thema’s als kapstokken voor haar boeiende verhaal: samenwerken, sporen en verzet, die ook steeds terugkomen in haar onderzoek en in de verschillende presentaties daarvan. Tijdens haar loopbaan buiten de universiteit hield zij zich bezig met drie belangrijke thema’s: Gender- en Vrouwengeschiedenis, Tweede Wereldoorlog & de Shoah en Kolonialisme & Slavernij, als onderzoeker, tentoonstellingsmaker en in participatieprojecten.
What is Left Unseen
Authors: Buikema Rosemarie 
Published: July 2023

In this article Rosemarie Buikema demonstrates how feminist scholarship has contributed from a variety of perspectives to the study of the dynamics between the subject and the object of knowledge. She in particular shows how she as a Genderstudies scholar has produced new knowledge and insights by means of paying attention to the processes of in- and exclusion, and the accompanying workings of erasure and neglect. She gives the example of an exhibition in which the Museum of Equality and Difference (MOED) re-curated the cultural heritage of abolitionism, giving centre stage to the black, previously enslaved woman Sojourner Truth rather than the white Dutchman Nicolaas Beets.
Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach
Authors: Azzolina Danila , Bressan Silvia , Lorenzoni Giulia , Baldan Giulia Andrea , Bartolotta Patrizia , Scognamiglio Federico , Francavilla Andrea , Lanera Corrado , Da Dalt Liviana , Gregori Dario 
Published: July 2023

Background
Unintentional injury is the leading cause of death in young children. Emergency department (ED) diagnoses are a useful source of information for injury epidemiological surveillance purposes. However, ED data collection systems often use free-text fields to report patient diagnoses. Machine learning techniques (MLTs) are powerful tools for automatic text classification. The MLT system is useful to improve injury surveillance by speeding up the manual free-text coding tasks of ED diagnoses.

Objective
This research aims to develop a tool for automatic free-text classification of ED diagnoses to automatically identify injury cases. The automatic classification system also serves for epidemiological purposes to identify the burden of pediatric injuries in Padua, a large province in the Veneto region in the Northeast Italy.

Methods
The study includes 283,468 pediatric admissions between 2007 and 2018 to the Padova University Hospital ED, a large referral center in Northern Italy. Each record reports a diagnosis by free text. The records are standard tools for reporting patient diagnoses. An expert pediatrician manually classified a randomly extracted sample of approximately 40,000 diagnoses. This study sample served as the gold standard to train an MLT classifier. After preprocessing, a document-term matrix was created. The machine learning classifiers, including decision tree, random forest, gradient boosting method (GBM), and support vector machine (SVM), were tuned by 4-fold cross-validation. The injury diagnoses were classified into 3 hierarchical classification tasks, as follows: injury versus noninjury (task A), intentional versus unintentional injury (task B), and type of unintentional injury (task C), according to the World Health Organization classification of injuries.

Results
The SVM classifier achieved the highest performance accuracy (94.14%) in classifying injury versus noninjury cases (task A). The GBM method produced the best results (92% accuracy) for the unintentional and intentional injury classification task (task B). The highest accuracy for the unintentional injury subclassification (task C) was achieved by the SVM classifier. The SVM, random forest, and GBM algorithms performed similarly against the gold standard across different tasks.

Conclusions
This study shows that MLTs are promising techniques for improving epidemiological surveillance, allowing for the automatic classification of pediatric ED free-text diagnoses. The MLTs revealed a suitable classification performance, especially for general injuries and intentional injury classification. This automatic classification could facilitate the epidemiological surveillance of pediatric injuries by also reducing the health professionals’ efforts in manually classifying diagnoses for research purposes.
Analitik Geovisual Pengaruh Pandemi COVID-19 Terhadap Pola Dan Kecenderungan Kriminalitas Di Daerah Istimewa Yogyakarta
Authors: Resiana Zelin , Aditya Trias 
Published: July 2023

Angka kriminalitas pada pandemi COVID-19 saat ini terus meningkat. COVID-19 tidak hanya memicu kontraksi terhadap ekonomi tetapi juga peningkatan pengangguran secara besar-besaran hal ini dapat menjadi faktor peningkatan angka kriminalitas. Penelitian ini bertujuan untuk melakukan analisis pola distribusi spasial, tren data temporal dan analisis pengaruh pandemi COVID-19 terhadap kriminalitas. Metode yang digunakan untuk memvisualisasikan distribusi spasial adalah clustering metode kernel density, data spasio temporal divisualisasikan dengan menggunakan visualisasi time series (deret waktu), untuk mengetahui pengaruh variabel lain terhadap angka kriminalitas digunakan analisis statistik regresi dengan metode Geographically Weighted Regression (GWR). Hasil yang diperoleh dari penelitian ini adalah pada tahun 2019 pola distribusi spasial kriminalitas terjadi di Kecamatan Depok, Mlati, Ngaglik berada pada wilayah kriminalitas dengan kerapatan titik yang sangat tinggi, dan tahun 2020 yaitu Kecamatan Depok dan Mlati. Jenis kriminalitas yang banyak terjadi tahun 2019 adalah pencurian dan penganiayaan, sedangkan tahun 2020 jenis kriminalitas penipuan dan penipuan dengan penggelapan. Analisis spasiotemporal tindak kriminalitas paling sering terjadi antara pukul 07.00-13.00 dan 12.01-18.00 yaitu 69,00 % tahun 2019 dan 72,00% tahun 2020. Analisis berdasarkan kebijakan PSBB dan PSBB Transisi terjadi peningkatan rata-rata kriminalitas tiap bulan saat diberlakukannya kebijakan. Berdasarkan nilai predicted hasil analisis GWR wilayah dengan kerawanan tinggi ada pada Kecamatan Depok dengan nilai kerawanan 26,67 tahun 2019 dan 35,54 pada tahun 2020. Model dapat menjelaskan data mengenai kriminalitas di Provinsi DI. Yogyakarta yaitu sebesar 47% untuk tahun 2019 dan 52% tahun 2020. Hasil uji-t, pada data 2019 dan 2020 variabel yang berpengaruh signifikan terhadap kriminalitas adalah sama yaitu jumlah laki-laki, persentase datang dan pindah dan persentase remaja. Namun pada data 2020 variabel yang berpengaruh lainnya adalah variabel COVID-19 juga signifikan terhadap kriminalitas.