bluuebunny/crossref_metadata_2025 huggingface dataset:
Big Data Analysis of the Relationship between Sleep Duration, Hyperuricemia, and Hypertension
Authors: 戴秀珍 戴秀珍 , Hsiu-Chen Tai Shi-Hao Huang , Shi-Hao Huang Yao-Ching Huang , Yao-Ching Huang Wu-Chien Chien , Wu-Chien Chien I-Long Lin
Published: September 2022

Previous studies have reported that sleep duration may increase the risk of hypertension and hyperuricemia. However, the results are contradictory. We investigated whether sleep duration was independently associated with hypertension and hyperuricemia. We aimed to assess the association between sleep duration, hypertension, and hyperuricemia in a population-based cross-sectional study. MJ Health Examination Center Database was used to obtain a large, representative sample of Taiwan population. This study revealed that short sleep duration is associated with an increased risk of hyperuricemia and hypertension. Patients who sleep ≤ 4 hours have a higher risk of hypertension than those who sleep 7 hours (Male: AOR = 1.131, 95% CI = 1.073-1.192; Female: AOR = 1.257, 95% CI = 1.190 -1.327). The risk of hyperuricemia in patients who sleep ≤ 4 hours is higher than those who sleep 7 hours (Male: AOR = 1.657, 95% CI = 1.213-5.768; Female: AOR = 1.583, 95% CI = 1.050-3.660). Besides, the risk of hyperuricemia in females who slept for more than 8 hours was 1.019 times that of those who slept for 7 hours. Participants aged < 50 years who sleep less than 4 hours a day have a higher risk of hypertension and hyperuricemia than those of the ages of 50-75 and >75 years. There were excellent response rates to sleep duration associated with hypertension and hyperuricemia questions and measurements representative sample of Taiwan population.

 
Secure Judgment of Point and Line Relationship Against Malicious Adversaries and Its Applications
Authors: Xin Liu Xin Liu , Xin Liu Yang Xu , Yang Xu Gang Xu , Gang Xu Xiu-Bo Chen , Xiu-Bo Chen Yu-Ling Cheng
Published: September 2022

With the rapid development of the Internet and information technology, the problem of zero-trust networks has become increasingly prominent, and secure multi-party computation has become a research hotspot to solve the problem of zero-trust networks. The secure judgment of point and line relationship is an important research branch of secure computing set geometry. However, most of resent secure computing protocols of point and line relationship are designed in the semi-honest model and cannot resist malicious attacks. Therefore, this paper analyzes the possible malicious adversary behaviors and designs a secure protocol in the malicious model. In this paper, the Paillier cryptosystem, zero- knowledge proof, and cut-choose method are used to resist malicious behavior, and the real/ideal model paradigm method is used to prove the security of the protocol. Compared with the existing solutions, the malicious model protocol is still efficient and widely used in real applications.

 
A Comparison Experiment of Binary Classification for Detecting the GTP Encapsulated IoT DDoS Traffics in 5G Network
Authors: YeaSul Kim YeaSul Kim , YeaSul Kim YeEun Kim , YeEun Kim Hwankuk Kim
Published: September 2022

5G is characterized by ultra-low latency and the deployment of large-scale IoT environments. IoT devices with weak security can cause security problems such as network failures in 5G. To solve this problem, automated intrusion detection research using ML was being conducted. In previous studies, detection research using ML in the wired network environment was active, but it was relatively insufficient in the 5G network. In addition, the vast amount of traffic in IoT devices can create latency problems for intrusion detection with ML, making it difficult to achieve ultra-low latency 5G service objectives. Therefore, this study analyzed the meaning of the performance and required time of an optimized single ML model and ensemble learning experiment to detect in real time while ensuring high detection performance of large-capacity DDoS in 5G network. When the 5G GTP encapsulated traffic was collected and binary classification was performed, the optimized single ML model performed more than 99%. Especially, compared with ensemble learning, the experimental results showed similar performance and reduced detection time by at least 34 times. As a result of the experiment, it was shown that a single ML model optimized for detecting IoT DDoS in 5G with ultra-low latency is significant.

 
A Credit Scoring Model Based on Integrated Mixed Sampling and Ensemble Feature Selection: RBR_XGB
Authors: Xiaobing Lin Xiaobing Lin , Xiaobing Lin Zhe Wu , Zhe Wu Jianfa Chen , Jianfa Chen Lianfen Huang , Lianfen Huang Zhiyuan Shi
Published: September 2022

With the rapid development of the economy, financial institutions pay more and more attention to the importance of financial credit risk. The XGBoost algorithm is often used in credit scoring. However, it should be noted that XGBoost has three disadvantages when dealing with small samples of high-dimensional imbalance: (1) the model classification results are more biased towards the majority class when the XGBoost algorithm is used in training imbalanced data, this results in reduced model accuracy. (2) XGBoost algorithm is prone to overfitting in high-dimensional data because the higher the data dimension, the sparser the samples. (3) In small datasets, it is prone to form data fragmentation, resulting in reduced model accuracy. A Credit Scoring Model Based On Integrated Mixed Sampling And Ensemble Feature Selection (RBR_XGB) is proposed on the following issues in this paper. The model first aims at the model failure and overfitting problems of XGBoost in the face of highly imbalanced small samples, and uses the improved hybrid sampling algorithm combining RUS and BSMOTE1 to balance and expand the data set. For feature redundancy problems, the RFECV_XGB algorithm is used to filter features for reducing interference features. Then, considering the strength of the distinguishing ability of different models, the validation set is used to assign weights to different models, and the weighted ensemble is used to further improve the performance of the model. The experimental results show that the classification performance of the RBR_XGB algorithm for high-dimensional imbalanced small data is higher than that of the traditional XGBoost algorithm, and it can be used for commercial use.

 
Click-Through Rate Prediction Algorithm Based on Modeling of Implicit High-Order Feature Importance
Authors: Qing Yang Qing Yang , Qing Yang Ning Li , Ning Li Shiyan Hu , Shiyan Hu Heyong Li , Heyong Li Jingwei Zhang
Published: September 2022

Click-through rate (CTR) prediction plays a central role in online advertising and recommendation systems. In recent years, with the successful application of deep neural networks (DNNs) in many fields, researchers have integrated deep learning into CTR prediction algorithms to model implicit high-order features. However, most of these existing methods unify the weights of implicit higher-order features to predict user behaviors. The importance of such features of different dimensions for predicting user click behaviors are different. Base on this, we propose a prediction method that dynamically learns the importance of implicit high-order features. Specifically, we integrate the output features of deep and shallow components, and adaptively learn the weights of implicit high-order features from among all features through the designed attention network, which effectively capturing the deep interests of users. In addition, this framework has strong versatility and can be combined with shallow models such as Logistic Regression (LR) and Factorization Machines (FMs) to form different models and achieve optimal performance. The extended experiment is conducted on two large-scale datasets, AVAZU and SafeDrive, and the experimental results show that the performance of the proposed model is superior to that of existing baseline models.

 
Hybrid Multiple Deep Learning Models to Boost Blocking Bug Prediction
Authors: Zhihua Chen Zhihua Chen , Zhihua Chen Xiaolin Ju , Xiaolin Ju Haochen Wang , Haochen Wang Xiang Chen
Published: September 2022

A blocking bug (BB) is a severe bug that could prevent other bugs from being fixed in time and cost more effort to repair itself in software maintenance. Hence, early detection of BBs is essential to save time and labor costs. However, BBs only occupy a small proportion of all bugs during software life cycle, making it difficult for developers to identify these blocking relationships. This study proposes a novel blocking bug prediction approach based on the hybrid deep learning model, a combination of Bi-directional Long Short-Term Memory (Bi-LSTM) and Convolutional Neural Network (CNN). Our approach first extracts summaries and descriptions from bug reports to construct two classifiers, respectively. Second, our approach combines two classifiers into a hybrid model to predict the blocking relationship of each blocking bug pair. Finally, our approach produces a report of identified blocking bugs for developers. To investigate the effectiveness of proposed approach, we conducted an empirical study on bug reports of seven large-scale projects. The final experimental results illustrate that our approach can perform better than the recent state-of-the-art baselines. Precisely, the hybrid model can predict BB better with an average accuracy of 57.20%, and an improvement of 73.53% in terms of the F1-measure when compared to ELBlocker. Moreover, according to the bug report’s description, BB can be predicted well with an average accuracy of 49.16%.

 
Fairness Measures of Machine Learning Models in Judicial Penalty Prediction
Authors: Yanjun Li Yanjun Li , Yanjun Li Huan Huang , Huan Huang Qiang Geng , Qiang Geng Xinwei Guo , Xinwei Guo Yuyu Yuan
Published: September 2022

Machine learning (ML) has been widely adopted in many software applications across domains. However, accompanying the outstanding performance, the behaviors of the ML models, which are essentially a kind of black-box software, could be unfair and hard to understand in many cases. In our human-centered society, an unfair decision could potentially damage human value, even causing severe social consequences, especially in decision-critical scenarios such as legal judgment. Although some existing works investigated the ML models in terms of robustness, accuracy, security, privacy, quality, etc., the study on the fairness of ML is still in the early stage. In this paper, we first proposed a set of fairness metrics for ML models from different perspectives. Based on this, we performed a comparative study on the fairness of existing widely used classic ML and deep learning models in the domain of real-world judicial judgments. The experiment results reveal that the current state-of-the-art ML models could still raise concerns for unfair decision-making. The ML models with high accuracy and fairness are urgently demanding.

 
Visual Object Detection with Score Refinement
Authors: Tao Li Tao Li , Tao Li Yu Wang , Yu Wang Zheng Zhang , Zheng Zhang Xuezhuan Zhao , Xuezhuan Zhao Lishen Pei
Published: September 2022

Robustness of object detection against hard samples, especially small objects, has long been a critical and difficult problem that hinders development of convolutional object detectors. To address this issue, we propose Progressive Refinement Network to reduce classification ambiguity for scale robust object detection. In PRN, several orders of residuals for the class prediction are regressed from upper level contexts and the residuals are progressively added to the basic prediction stage by stage, yielding multiple refinements. Supervision signal is imposed at each stage and an integration of all stages is performed to obtain the final score. By supervision retaining through the context aggregation procedure, PRN avoids over dependency on higher-level information and enables sufficient learning on the current scale level. The progressive residuals added for refinements adaptively reduce the ambiguity of the class prediction and the final integration of all stages can further stabilize the predicted distribution. PRN achieves 81.3% mAP on the PASCAL VOC 2007 dataset and 31.7% AP (15.6% APS) on MS COCO dataset, which demonstrates the effectiveness and efficiency of the proposed method and its promising capability on scale robustness.

 
演而優則學！以心理劇方法提升大學商管教育教學成效與學習滿意度
Authors: 林志皇 林志皇
Published: September 2022

心理劇是心理學領域中一種運用戲劇的元素的心理治療方式，為臨床心理治療的重要方式之一。其應用的技巧近來也漸漸成為團體輔導、諮商，甚至是教學上的重要技術。本研究以大學商學院學生為研究對象，以實際的商管教育基礎課程─「行銷管理」課程為教學平臺，於107學年度課程中，採心理劇應用於教學，同時運用劇場方法搭配教師課堂講授。利用心理劇的技巧，讓同學們將學習到的專業知識即時展現在課堂中，並在課程結束前更讓同學分享課堂中演出中所有的感覺、想法和聯想。透過各種心理劇劇場方法的技巧與技術，豐富學習體驗，增進學習成效與學習滿意度。本研究採用準實驗設計，同時採用量化與質化的研究方法蒐集資料，並以分析結果做為改善教學的依據。量化結果方面，以自行編纂之「劇場教學滿意度中文量表」，客觀的量化數據顯示心理劇的劇場方法之教學成效與同學的學習滿意度，同時量表亦可供後續研究採用。量化研究結果顯示，相對於傳統教學方法，融合心理劇的劇場教學方法，在學生的學習滿意度上，顯著的優於傳統教學方法。質化成果方面，顯示上課同學們對於劇場教學方法的課程內容與學習的意見與想法，多表示正向態度。Higher education is facing challenges and learning is flipping. Teaching from the perspective of the whole person is one of the major missions in higher education. While psychodrama was originally developed for psychotherapy, it is often used in group counseling, consultation, and even education in recent years. In business schools, psychodrama could offer a creative way for students to experience and solve key issues in business and management practice. This study explores the effects of using psychodrama as a teaching method in a business management course from an action research approach. The study attempts to bring new learning experiences to business education and at the same time adds humanistic quality and social consideration to students. With both qualitative and quantitative data, the results demonstrate that psychodrama can improve learning outcomes, enhance learning satisfaction, and even enhance the ability of students in business decision-making. Furthermore, this study also provides managerial and practical implications for both business schools and real-world business managers.
BRICS-T ÜLKELERİNDE EKONOMİK BÜYÜME VE İNSANİ GELİŞME İLİŞKİSİNİN EKONOMETRİK ANALİZİ
Authors: TÜRKMEN Sena , TIRAŞ Hacı Hayrettin
Published: September 2022

İnsani gelişme milli gelir dışında bir refah göstergesi olup; gelir ile birlikte eğitim, sağlık ve iyi yaşam standartlarını içeren çok boyutlu bir kavramdır. Ülkelerin zenginliğinden ziyade insan hayatının zenginleşmesi ile ilgilenmekte, insanların kendilerine ve sahip olduğu fırsatlara odaklanmaktadır. Tüm insanlara daha fazla seçme şansı ve daha fazla fırsatın tanınması gerektiğini belirtmektedir. İnsani gelişme insan refahını gelirin ötesinde değerlendirmektedir. Bu çalışmanın amacı, BRICS-T (Brezilya, Rusya, Hindistan, Çin, Güney Afrika Cumhuriyeti ve Türkiye) ülkelerinde insani gelişme ve kentleşme ile ekonomik büyüme arasındaki ilişkinin panel veri analiz yöntemleri ile incelenmesidir. Çalışmada 1990-2019 dönemi insani gelişme endeksi değerleri, kentleşme ve kişi başı GSYİH değişkenler olarak kullanılmıştır. Değişkenler arasındaki ilişkiyi test etmek için Westerlund (2006) panel eş bütünleşme testinden yararlanılmıştır. Eşbütünleşme katsayılarının tahmininde Pesaran (2006) tarafından geliştirilen CCE (Common Correlated Effects) yöntemi kullanılmıştır. Buna göre, panel genelinde insani gelişme endeksi değişkeninin uzun dönem katsayısının istatistiksel olarak anlamlı olduğu; kentleşme oranının uzun dönem katsayısının ise istatistiksel olarak anlamlı olmadığı tespit edilmiştir. Söz konusu ülke grubunda insani gelişme endeksindeki %1’lik bir artış kişi başına düşen geliri %8,8 arttırmaktadır.
FİNANSAL GELİŞME İLE EKONOMİK BÜYÜME İLİŞKİSİ: KIRILGAN BEŞLİ ÜLKELERİ ÜZERİNE AMPİRİK BİR ANALİZ
Authors: ÖNDER Ferid
Published: September 2022

Ülkelerin makroekonomik performanslarının ölçülmesinde birçok gösterge kullanılmaktadır. Ekonomide üretilen tüm mal ve hizmetlerin toplam değerindeki reel artışı ifade eden ekonomik büyüme hükümetlerin öncü hedefleri arasındadır. Finansal gelişmenin ekonomik büyüme üzerinde olumlu etkilerini olduğunu belirten çalışmalara literatürde sıkça rastlamaktadır. Bu çalışmada kırılgan beşli olarak adlandırılan Brezilya, Hindistan, Güney Afrika, Endonezya ve Türkiye için 1990-2019 yıllarına ait verilerle finansal gelişme ile ekonomik büyüme arasındaki ilişkinin incelenmesinde dinamik panel veri analizinden yararlanılmıştır. Yatay kesit bağımlılığını ve heterojenliğini dikkate alan Westerlund (2006) panel eşbütünleşme testiyle serilerin eşbütünleşik olduğu sonucunun elde edilmesiyle Pesaran (2006) tarafından geliştirilen Common Corelated Effects (CCE) tahmincisinden yararlanılmıştır. Elde edilen bulgular panel genelinde, finansal gelişmenin ekonomik büyüme üzerinde istatistiki olarak anlamlı olduğunu göstermektedir. Finansal gelişmede meydana gelen %1’lik bir artış ise ekonomik büyümeyi %0.63 oranında azaltmaktadır. Ülkeler özelinde ise söz konusu katsayılarda farklılıklar görülmektedir.
ÇALIŞMA YAŞAMINDA AYRIMCILIĞIN İZİNİ SÜRERKEN: HOLLANDA’DA MESLEK SAHİBİ TÜRKİYE KÖKENLİLER
Authors: DEMİRDİZEN ÇEVİK Derya
Published: September 2022

Hollanda, farklı kimlik ve kültürlerden oluşan toplum yapısıyla, bir arada uyum içinde yaşamayı “vaat eden”, çokkültürcü politikaları ve dünyanın çoğu yerinde olmayan marjinallikleriyle tanınan bir ülkedir. Ancak, Hollanda’nın son yıllarda, ırkçılık ve göçmen karşıtı eylemlerle de gündeme gelmesi dikkat çekicidir. Bu çalışma, böylesine tezat bir durumun emek piyasasına nasıl yansıdığı sorusuyla ortaya çıkmıştır. Bu kapsamda, ikinci ve sonraki nesil meslek sahibi göçmen kökenlilerin iş deneyimleri eğitim, çokkültürlülük ve örtük ayrımcılık konusu etrafında ele alınmak istenmiştir. Araştırmada, kartopu yöntemi kullanılarak Hollanda’da yaşayan göçmen çocukları ile (iki ve sonraki nesil) online bir toplantı programı üzerinden yarı yapılandırılmış sorularla derinlemesine mülakatlar gerçekleştirilmiştir. Alan araştırmasından elde edilen bilgiler üç kategoride tartışılmıştır: Eğitim sisteminden kaynaklı sorunlar, çokkültürlülüğün iş yaşamına etkisi ve örtük ayrımcılık. Sonuç olarak, eğitim sisteminin yerli olmayanlar üzerinde zorlayıcı bir etkisi bulunurken, çokkültürlülüğün iş yaşamında farklı kimlikler üzerinde hem olumlu hem de olumsuz sonuçları olduğu ve çalışma hayatında görünmeyen ayrımcılığa dair bulgulara ulaşılmıştır.
TÜRKİYE’DE VE G7 ÜLKELERİNDE DIŞA AÇIKLIK VE EKOLOJİK AYAK İZİ İLİŞKİSİ: YATAY KESİT BAĞIMLILIĞI ALTINDA PANEL VERİ ANALİZİ
Authors: BUCAK Çağla , SAYGILI Fatih
Published: September 2022

1970’lerin sonunda dış ticarette serbestleştirmeyi teşvik eden politikaların küresel çapta uygulanmasıyla beraber dünya genelinde ekonomik büyüme ve dışa açıklık oranlarında ciddi artışlar meydana gelmiştir. Ancak yine aynı süreçte çevresel bozulmalar görülmüş, bu nedenle sürdürülebilir kalkınma tartışmaları gündemde yerini almıştır. Çevresel bozulmanın göstergelerinin ölçümü, sürdürülebilirliğin ne ölçüde sağlandığının anlaşılması adına önem kazanmıştır. Çevresel bozulmanın önemli bir göstergesi olarak ekolojik ayak izi kavramı ön plana çıkmıştır. Bu bağlamda dışa açıklığın ekolojik ayak izini ne ölçüde ve hangi yönde etkilediğini belirlemek önem kazanmaktadır. Bu çalışmada ekolojik ayak izi ile dışa açıklık arasındaki ilişki G7 ülkeleri ve Türkiye için 1998-2017 döneminde yatay kesit bağımlılığını dikkate alan panel veri analizi yöntemiyle test edilmiştir. Ampirik bulgular, dışa açıklığın ve büyümenin ekolojik ayak izini artırdığını, yenilenebilir enerji tüketiminin ise ekolojik ayak izini azalttığını ortaya koymaktadır. Ulaşılan bu sonuçlardan hareketle G7 ülkeleri ve Türkiye özelinde politika önerileri tartışılmaktadır.
İBN HALDUN’UN YÖNETİM BİÇİMLERİ TASNİFİ ÇERÇEVESİNDE KUTADGU BİLİG’TE İDEAL YÖNETİM MODELİ
Authors: KILINÇ Zeynel Abidin
Published: September 2022

Bu çalışmada Türk yönetim düşüncesinin öncü düşünürlerinden Yusuf Has Hacib’in Kutadgu Bilig başlıklı eserinde ortaya koyduğu ideal yönetici ve yönetim anlayışı, İbn Haldun’un Mukaddime adlı eserinde analiz ettiği yönetim biçimleri ve yönetici tipleri tasnifi ve değerlendirmesinden hareketle incelenmiştir. İbn Haldun, ideal yönetimin temel kriterini halkın yararına hizmet etmek olarak belirlerken yönetimin halkın yararına olacak biçimde hizmet etmesinin şartını da yasaya bağlılık olarak belirler. Yusuf Has Hacib’e göre de ideal yönetimin temel kriteri halkın yararını gözeterek yönetmesidir ve yönetimin halkın yararına hizmet edecek biçimde yönetebilmesinin en temel şartı töreye uygun hareket etmesidir.
Starting Work on the Front Matter Archive
Authors: Fenner Martin
Published: September 2022

In August 2021 I joined the InvenioRDM project to help develop and host a modern repository platform for scholarly content. Things didn't exactly go as planned at the beginning of 2022, and I spent five months in the hospital with serious personal health issues. Since returning home in early June, my health has improved considerably, and in September I was able to slowly start working again.
Development of Cultural Humility and Ethnocultural Empathy in Nursing Students
Authors:   Independent Researcher, Houston, USA, Keck Claudia
Published: September 2022

Objective: Differences in cultural backgrounds, values, beliefs, and practices between healthcare providers and clients can create challenges and lead to disparities, and adverse events. Healthcare providers’ cultural humility and ethnocultural empathy promote services that meet patients’ social and cultural needs. However, it is unclear how to best promote the development of cultural humility and ethnocultural empathy amongst nursing students. The transformative learning theory, developed by Jack Mezirow guided the study. Students who participate in a cultural immersion experience will report higher cultural humility and ethnocultural empathy compared to students who receive a lecture. Methods: This study used a quasi-experimental, pretest-posttest control group design. A non-randomized, convenience sample of 47 students was utilized. The ethnocultural empathy scale and the cultural humility scale were used to assess nursing student’s cultural humility and ethnocultural empathy. Open ended questions explored the meaningfulness of the experience. Data was analyzed with bivariate and multivariate analysis to compare pre- and post-intervention data and differences between groups. A thematic analysis appraised open ended question responses. Results: Students who participated in a cultural immersion experience reported significant higher cultural humility and ethnocultural empathy scores. Open ended questions reveled that the cultural immersion experience was meaningful and aided in the development of cultural humility and ethnocultural empathy. Conclusion: A cultural immersion experience was useful in promoting the development of cultural humility and ethnocultural empathy in nursing students.
A Study on the Establishment of the Appropriate Base Return of Institutional Investors: Focusing on the Korea Local Finance Association
Authors:   Korea Real Estate Policy Association, Kang Sang-Sun , Jun Jae-Bum
Published: September 2022

This study aims to reset the effective base return through the analysis of the return on investment by asset group of investment institutions centered on the Fiscal Mutual Aid Association. Since the benchmark return is the basis for the performance evaluation of the asset management results of investment institutions, proper benchmark setting has the effect of maximizing the asset management return. In order to find out whether the benchmark setting of these investment institutions is set to be effective, we can compare the resultsof the benchmark before the change with the results of the standard return analysis after the change. In conclusion, it was analyzed that the pension investment pool MMF was more effective than the MMI operating return as a benchmark for short-term funds, and the weighted average (operating weight) was more effective than the KOSPI and MSCI ACWI weighted average (target ratio).
Time Q-Neutrosophic Soft Expert Set
Authors:   School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia, Al-Hijjawi Sumyyah Al ,   School of Mathematical Science, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia,   Department of Mathematics, Faculty of Science and Information Technology, Jadara University, Irbid, Jordan, .. Abd Ghafur , Alkhazaleh Shawkat
Published: September 2022

This paper is a combination of time neutrosophic soft sets and Q- neutrosophic soft expert sets. We define the general concept of time Q-neutrosophic soft expert sets and study its properties. Some operations such as complement, union, and intersection are explored. Then a hypothetical application of this concept in the decision-making problem is given.
Neutrosophic-Based Multi-Objectives Model for Financial Risk Management
Authors:   College of Business Administration, University of Sharjah, UAE, Metawa Noura ,   College of Computer and Information Technology, American University in the Emirates, UAE, Mourad Nahia
Published: September 2022

Financial organizations can no longer ignore the problem of managing risk. As a component of the financial system, efficient Financial Risk Management (FRM) may significantly affect business results. These findings show that the triangular neutrosophic numbers simulate capital asset key metrics. Performance metrics for capital assets may be modeled using this kind of value by accounting for all conceivable outcomes for their attainment. The profit on capital instruments, the risk of financial investments, and the covariance of capital instruments are the Key Performance Metrics (KPIs) modeled using triangular neutrosophic values. Specifically, this research employs two techniques. Prioritizing parameters for financial risk management dimensions using the Analytic Hierarchy Process (AHP). Second, the performance evaluation of financial risk management was evaluated from the perspective of several groups of specialists by the COCOSO method to assess the ranking of possible replies further. By using the presented method, we may better identify where to put our efforts and how to allocate our resources for greater effectiveness in managing financial risks.
Physiologic Flow Diversion Coiling Technique for Wide-Necked Aneurysms with an Asymmetric Bidirectional Flow at the Aneurysm Neck
Authors: Kwon Boseong , Song Yunsun , Choi Yun Hyeok , Suh Dae Chul
Published: September 2022

Purpose: Wide-necked aneurysms in the circle of Willis (CoW) are prone to recur due to reciprocal bidirectional flow. We present a novel concept of coil embolization to prevent recurrence that uses physiologic flow diversion at the CoW.Materials and Methods: We enrolled 14 patients (15 aneurysms) who underwent aneurysm coiling for wide-necked aneurysms with asymmetric bidirectional inflow into the aneurysm. Four patients had recurrent aneurysms after coiling. The concept of physiologic flow diversion included obliterating antegrade flow into the aneurysm sac as well as opposite CoW flow by performing compact coil packing with intentional protrusion out of the aneurysm neck to the communicating part.Results: Fifteen aneurysms, including 4 recurrent aneurysms, in an anterior communicating artery (n=7), posterior communicating artery (n=5), and tip of the basilar artery (n=3) were treated with coil embolization (n=10) and stent-assisted coiling (n=5). All aneurysms had a wide neck, and the mean largest diameter was 9.0 mm. The mean packing density was 45.1%. Twelve aneurysms were completely occluded, and 3 aneurysms had tiny residual neck remnants. There was neither a neurological event nor recurrence during the mean 12.5 months of follow-up.Conclusion: Wide-necked aneurysms at the CoW tend to recur. As a strategy to prevent a recurrence, physiologic flow diversion can be an option in treating wide-necked aneurysms in the CoW.
Law Enforcement Against Street Crimes During a Pandemic That Occurred In Sidoarjo
Authors: Agung Kurniawan  , Bastianto Nugroho
Published: September 2022

The purpose of this research is Law Enforcement Efforts Against Street Crime Period in Sidoarjo. The research method used is a normative juridical research method, which focuses on the study starting from the provisions of the applicable laws and regulations, accompanied by legal theories and principles related to the problems studied. The results of the research In carrying out the prevention of street crime, the Sidoarjo City Police made several efforts, namely with Preventive Efforts and Repressive Efforts. The efforts to overcome street crime are carried out by carrying out patrols carried out by the police, the establishment of Tangguh village posts spread across almost all areas from the RT, RW and Village levels, empowerment of Bhabinkamtibmas, involvement of elements related to handling the pandemic (TNI, Regional Government, BPBD), carry out operations to control the completeness of motorized vehicles, with the application the community can easily communicate with the police, and also the police give mandate to the community if a crime occurs so that they can immediately report it to the authorities. And there are also obstacles What is often encountered by the Sidoarjo City Police is that the public does not understand the dangers of the Covid 19 pandemic and its impact on the increase in crime, by ignoring health protocols and decreasing the level of vigilance for the occurrence of crime. The public's rejection of the efforts / policies taken by the government related to the handling of the Covid 19 Pandemic on the grounds that these policies limit the space for people to find sustenance, as well as the limited number of personnel and finances for the deployment of a humanitarian operation.
新时代高校爱国主义教育实施路径研究
Authors:   中国计量大学, 申 洪根
Published: September 2022

当今，国际形势错综复杂、社会思潮多元开放、意识形态严峻尖锐，探索可行的新青年大学生的爱国主义教育方法和路径就显得至关重要。本文探讨了爱国主意教育的特征、重要性和可能面临的挑战，并在此基础上提出高校爱国主义教育实施四条路径，包括：强化红色精神引领, 丰富爱国主义教育仪式活动,创新爱国主义教育载体, 注重涵养国际化心态。本文的研究有助于高校实施爱国注意教育的方法和路径选择。
Metaverse Virtual Learning Management Based on Gamification Techniques Model to Enhance Total Experience
Authors: Srisawat Surasak , Piriyasurawong Pallop
Published: September 2022

This research aimed to develop metaverse virtual learning management based on gamification techniques model (MVLM-Gt model) and to evaluate the appropriateness of the model. The research methodology was divided into two parts in accordance with these aims. The first part was the design of the learning step using metaverse virtual learning management and gamification techniques based on the gamification process and active learning theory. The second part consisted of an evaluation of the appropriateness of the model. The MVLM-Gt model was submitted to seven experts followed by an appropriateness questionnaire. The MVLM-Gt model had four core components: the inputs, the learning process, the evaluation, and the feedback. The learning process had five steps: motivation and setting goals, constructing content, discussion and interaction, practice and mission, and summarizing and feedback. After evaluation of the appropriateness of the MVLM-Gt model, the experts said that it was excellent (Mean=4.82, S.D.=0.38). After considering each component, the feedback component had the highest appropriateness value (Mean=5.00, S.D.=0.00), followed by the learning process component (Mean= 4.86, S.D.=0.38), and the evaluation component (Mean=4.71, S.D.=0.49). The results showed that this MVLM-Gt model could be adopted to enhance total experience of students.
Serpentine Adaptation of Ligustrum japonicum Thunb. (Oleaceae) Based on Morphological and Anatomical Approaches
Authors: Shiba Masayuki , Tate Tomoki , Fukuda Tatsuya
Published: September 2022

Serpentine soils consist of broadly skewed elemental profiles, including abundant toxic metals and low nutrient content in drought-prone, patchily distributed substrates; therefore, they are one of the most challenging settings for plant life. In this study, a comparative study was conducted using serpentine and inland populations of Ligustrum japonicum Thunb. (Oleaceae) to determine morphological and anatomical differences between the same species growing in the serpentine and inland areas. Longitudinal leaf sections indicated that serpentine populations had slightly thicker leaves than inland populations, contributing to the increased heights of adaxial and abaxial epidermal cells and palisade and spongy tissues. Moreover, the serpentine population had smaller stomata than the inland populations. These results suggest that the strong selective pressure under serpentine soil conditions could force leaves to restore water and avoid excessive transpiration.
Won’t Stop, Can’t Stop: Alternative Route to Licensure Special Education Teachers’ Persistence in their Careers
Authors: Brendli Katherine , Taylor Joshua P. , Scott LaRon A. , Hobson Jarrod , Powell Christine , Ruiz Amber
Published: September 2022

Alternate route to licensure (AR) programs in special education continue to increase despite concerns that teachers certified through these pathways leave the profession at rates higher than traditionally prepared teachers. The purpose of this study was to examine special education AR program completers to determine their persistence to stay in the profession despite odds of attrition. For this article, we examined survey results from AR special education teachers (n = 57) and completed focus group interviews with a subset (n =13) from this same sample. Using Social Cognitive Theory (SCT) to guide our research, we uncovered three major themes from our focus groups: role conceptualization, barriers experienced, and motivating factors. Our findings suggest that AR special education teachers’ persistence relies on several factors, such as society’s respect for teachers, effective mentoring programs, positive collaboration experience, understanding of their unique role as AR teachers, and self-efficacy. Implications for educational practices, policies, and further research about AR teachers is explored.
Diálogos sobre feminismos, ambientalismos y racismos desde las geografías feministas latinoamericanas
Authors: Ulloa Astrid , Zaragocin Sofia
Published: September 2022

Desde nuestras trayectorias y reflexiones, escribimos sobre los aportes, desde los movimientos sociales, ambientales y de mujeres, hasta las geografías feministas, las ecologías políticas feministas y la geografía feminista descolonial antirracista. Asimismo, planteamos los siguientes ejes analíticos: territorios y territorialidades diversas; naturalezas, ambientalismos y los no humanos; y cuerpos-territorios, como núcleos que están resignificando las geografías feministas. Y abordamos los retos que implica resignificar las categorías binarias y nociones territoriales. De igual manera, resaltamos las ausencias de ciertos debates, como el del racismo estructural. Todo con miras a establecer diálogos con otras geografías de distintos hemisferios y localizaciones frente a las transformaciones territoriales y ambientales irreversibles de los territorios en América Latina, y frente a la necesidad de cuestionar la relación con la blanquitud en el espacio, y la territorialización de los procesos de creación feminista.
Nuevos enfoques en la geografía del turismo: gobernanza e inteligencia territorial como últimas fases en la evolución de la gestión turística del litoral
Authors: Fernández-Tabales Alfonso , Navarro-Jurado Enrique
Published: September 2022

El espacio litoral ha soportado fuertes presiones en los últimos 80 años. El desarrollismo turístico inmobiliario global ha generado importantes efectos territoriales debido, entre otras causas, a la fuerte urbanización y a la ocupación del suelo. Consecuentemente, uno de los retos globales de futuro a los que se enfrenta la disciplina geográfica es aportar comprensión y respuestas empíricas ante este fenómeno. Este artículo parte de los nuevos enfoques de la geografía basados en aplicar la inteligencia territorial en los destinos turísticos litorales. En los primeros epígrafes, se reflexiona sobre los conceptos y la aplicabilidad de la gobernanza territorial, la inteligencia territorial y los destinos turísticos inteligentes. Posteriormente, se justifica la importancia de los espacios litorales en el turismo con el fin de llegar a proponer herramientas aplicadas y soluciones tecnológicas que ayuden a analizar y tomar decisiones a los gestores. Fruto de la investigación y transferencia de los autores, se proponen varios sistemas de indicadores que evalúan y miden el tipo de desarrollo turístico, sus impactos, la sostenibilidad y la propia gobernanza. Estos nuevos enfoques se consideran fundamentales para una planificación y una adecuada gestión del territorio.
Segregación residencial y políticas urbanas: convergencias y contrastes entre Barcelona y Santiago de Chile
Authors: Nel·lo Oriol , Sabatini Francisco
Published: September 2022

El artículo explora las relaciones entre desigualdad social y segregación residencial en Barcelona, ciudad europea que ha sido presentada como modelo de políticas urbanas reformistas, y en Santiago de Chile, arquetipo del desarrollo urbano neoliberal en América Latina. El análisis muestra la complejidad de la relación entre la desigualdad y la segregación, y problematiza la existencia de una relación directa y simple entre una variable y otra, puesto que ambas se alimentan mutuamente, sus efectos pueden ser demorados en el tiempo y, en determinadas circunstancias, el incremento de la primera puede ir acompañado de una reducción de la segunda. Asimismo, se subrayan las convergencias y divergencias entre las políticas urbanas aplicadas en ambas ciudades, y se señala la importancia que los procesos históricos y las tendencias globales han tenido en su configuración. Finalmente, se indica la relevancia de la acción colectiva de la ciudadanía en la evolución de la segregación y de las políticas destinadas a hacerle frente.
Five-year Ground-based Observation Trend of PM2.5 and PM10, and Comparison with MERRA-2 Data over India
Authors: Alang Ashmeet Kaur , Aggarwal Shankar G.
Published: September 2022

A comprehensive analysis of pollutant’s trend and their measurement techniques are crucial for evaluating the air quality, and thereby helpful in formulating better control policies. In this report, we summarise ground based PM2.5 and PM10 data report in India (2015–2019). The important points discussed here are: (i) review of the ground-based data of PM2.5 and PM10 and the techniques used, (ii) mapping of the data over India with spatial and temporal distribution so that better understanding on PM pollution level can be made, (iii) identifying the technological gaps in measurement of PM concentration in India, and (iv) evaluation of MERRA-2’s (Modern-Era Retrospective Analysis for Research and Applications, Version 2) simulation of PM2.5 against surface measurements in India to better understand biases for spatial and seasonal distribution, and then (v) suggestions for better PM measurement protocols, policies and metrological aspects for both measurement and control policies. It is observed that the amount of ground data on ambient monitoring of fine PM is insufficient and has several inconsistencies which require adequate attention. In India, not much work has been done on developing certified reference materials, traceable standards and calibration facility for particulate matter measurement which is a crucial step to ensure quality checks. Further, the comparison of MERRA-2 and ground PM2.5 concentrations revealed huge discrepancies with underestimating PM2.5 measurements in highly polluted regions like the Indo-Gangetic plain, especially during winter when pollution load was high. Better PM2.5 agreement was found in summer and monsoon season, based on performance statistics explained in this paper. Inconsistencies between MERRA-2 and ground PM2.5 are partly due to few limitations in MERRA-2 reanalysis method which are discussed in this paper, apart from several issues in ground-based observation. The aim of this review and comparison is to highlight such issues and give more attention to the importance of data quality assurance for effective air quality management. The present study may be helpful for the researchers in evaluating and choosing appropriate reanalysis products for their future studies.
Reflections on the functioning of the guardian ad litem appointed for a minor victim during a criminal trial: A prospects for change
Authors: Osiak-Krynicka Katarzyna , Derdak Mateusz
Published: September 2022

A minor as a victim cannot act independently in a criminal trial. In accordance with Article 51(1) of the Code of Criminal Procedure, the rights of the minor are represented by their statutory representatives, i.e. their parents (if the minor remains under their parental authority). If, however, the perpetrator of the crime against the child is the other parent or a spouse of the parent, the non-offending parent is excluded from representing the child. In this case, the guardianship court will appoint a guardian ad litem. The goal of this institution is to implement and safeguard the interests of the child during the criminal trial. In practice, however, it often happens that these guardians do not fulfil their duties in a way that guarantees the due protection of the minor. In extreme cases, they are not appointed at all or are appointed too late. While looking for a solution that would guarantee the proper protection of the rights of the minor, the Ministry of Justice presented a proposal for the introduction of the position of “helper” of a minor who is a victim. This publication is a detailed analysis of the institution of the guardian ad litem, and studies the validity of the introduction of an additional entity with the authority to defend the rights of an aggrieved child.
Anatomy of the left ventricular subvalvular apparatus of the Eurasian wild boar
Authors: Butkiewicz Aleksander , Kaźmierczak Paulina , Zdun Maciej , Frąckowiak Hieronim
Published: September 2022

Xenotransplantation consists in transplanting an organ from one species to another. Despite the fact that currently, the biggest dilemma of heart transplants are issues related to the field of immunology, we should start our search with the basic science of comparative anatomy of animals.
The Eurasian wild boar (Sus scrofa) is an ancestor of the domestic pig (Sus domestica) and an invasive species currently not covered by European protection programs. The growing wild boar population is a pool of potential organ donors, as well as a research facility for developing comparative anatomy of animals and other areas of broadly understood zoology.
The research material consisted of seventy-one Wild boar hearts. Following the research methodology provided by the team of Kustrzycki et al. (2000), determined the number of bellies of papillary muscles of the left ventricle and the type of connection between the muscles and the wall of the left ventricle. The height of the departure of the muscle from the ventricular wall was also determined, and the morphological regularity of the papillary muscle was assessed. The tendinous cords extending from the papillary muscles were also investigated.
The materials analysis shows similarities and differences in the anatomy of the hearts of living organisms, focusing on the normal anatomy of the left ventricular subvalve apparatus of the Eurasian wild boar. Our research broadens the knowledge of the comparative and normal anatomy of the myocardium of the Suina in comparison with selected individuals of other species.
Sistem Pakar dengan Metode Forward Chaining dan Certainty Factor untuk Mengidentifikasi Gangguan Pencernaan
Authors: Maulid Elfina
Published: September 2022

Masalah kesehatan merupakan salah satu masalah yang sering menjadi problem tersendiri,seperti gangguan pencernaan yang sering dirasakan oleh hampir sebagian orang. Sebagianbesar orang sering menganggap gangguan pencernaan adalah hal yang biasa. Terkadangmereka terlalu cepat menyimpulkan jenis penyakit yang mereka rasakan, sehingga darikesimpulan yang belum tentu benar membuat tindakan pengobatan terhadap penyakittersebut juga tidak benar. Sistem Pakar adalah aplikasi yang memindahkan pengetahuanke dalam komputer, sehingga komputer dapat memberikan informasi seperti seorangpakar. Aplikasi Sistem Pakar gangguan pencernaan dapat mengidentifikasi jenis gangguanpencernaan seperti maag, diare dan sembelit. Sistem Pakar ini dirancang dengan metodeForward Chaining dan Certainty Factor, sehingga tingkat kepastian dari identifikasi gangguanpencernaan lebih akurat dengan tingkat keakuratan 99%.
Sistem Informasi Perpustakaan Sekolah Online
Authors: Handayanna Frisma , Rinawati  , Maulida Linda
Published: September 2022

Dengan semakin banyaknya jumlah buku lama dan baru, juga dengan semakin banyaknyajumlah anggota perpustakaan, dalam hal ini petugas perpustakaan juga mengalami kesulitandalam pembuatan laporan data buku, data anggota, peminjaman buku, dan pengembalianbuku maka dibutuhkan sistem informasi yang dapat membantu untuk mengolah semuainformasi tersebut dengan cepat. Maka dibutuhkan Sistem Informasi Perpustakaan. SistemInformasi Perpustakaan ini berguna untuk meningkatkan pelayanan perpustakaan menjadilebih efisien dan efektif, memberikan pelayanan informasi yang lebih mudah bagi parapengguna perpustakaan dalam mencari buku yang dibutuhkan, mempermudah petugasperpustakaan dalam mengelola database, mempermudah petugas perpustakaan dalammembuat laporan data buku, laporan peminjaman buku, laporan pengembalian buku,meningkatkan minat siswa dalam membaca buku, karena menjadi lebih mudah dalam mencaribuku yang diinginkan. Sistem Informasi Perpustakaan adalah proses komputerisasi untukmengolah data suatu perpustakaan. Sistem Informasi Perpustakaan yang disediakan padasaat ini untuk memudahkan para pengguna sistem ini khususnya anggota dalam pencarianbuku, karena disediakan fasilitas untuk mencari buku yang diinginkan dengan mudah dancepat, tanpa harus datang keperpustakaan terlebih dahulu, memudahkan petugas dalampengelolaan database, peminjaman, pengembalian, dan pembuatan laporan.
Analisa Dan Implementasi Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menggunakan Metode Simple Additive Weighting (SAW) (Studi Kasus: PT Rekso Nasional Food Call Center McDonald’s)
Authors: Irfayanti Yulia , Wardani Nanda Putri
Published: September 2022

Penentuan kandidat karyawan tetap pada PT Rekso Nasional Food Call Center McDonald’sadalah agen yang sudah melakukan 3 kali perjanjian kontrak. Kriteria-kriteria yang digunakanditentukan oleh tim manajemen PT Rekso Nasional Food Call Center McDonald’s diantaranyayaitu performance kinerja, kedisiplinan, absensi, kerjasama tim dan inisiatif. Sistem inimerupakan Sistem Pendukung Keputusan (SPK) yang dibangun dengan menggunakanmetode Simple Additive Weighting (SAW) untuk menentukan karyawan tetap. SAW merupakansuatu metode pengambilan keputusan untuk menyelesaikan masalah penentuan pilihanyang sifatnya Multiple Attribute Decision Making (MADM). Konsep dasar metode SAW yaitumencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua atribut.Sistem ini dibangun menggunakan bahasa pemrograman PHP dan menggunakan sistemmanajemen basis data MySQL dalam merancang sistem pendukung keputusan penilaiankinerja karyawan. Sistem ini dapat memberikan solusi dalam penentuan karyawan tetap padaPT. Rekso Nasional Food Call Center McDonald’s, sehingga dapat membantu tim manajemendalam menyeleksi kandidat (alternatif) karyawan dan menghasilkan rekomendasi karyawanPKWT yang terbaik kinerjanya untuk dipromosikan sebagai karyawan tetap.