bluuebunny/crossref_metadata_2025 huggingface dataset:
Towards a Transdisciplinary Approach to Systemic Risk Detection
Authors: Wever Mark , Wognum Nel , Shah Munir , O’Leary Niall , Onofrei George
Published: October 2021

Systemic risks are potentially harmful events, that could severely disrupt an entire industry or economy. Examples include the bankruptcy of keystone companies and biosecurity incursions. According to the United Nations, detecting and managing systemic risk represents one of the main challenges of the 21st century. Due to increasing complexity and interconnectedness of today’s social-technological-biophysical systems, stakeholders relying on individual disciplines to systemic risk detection, or a combination of disciplines that are not well coordinated, will fail to promptly identify key early warning signals of threats. Our paper argues that transdisciplinary approaches are required to make comprehensive and integrative assessments of complex systems. To support stakeholders undertaking such assessments, we propose a framework that will assist them in: (1) better understanding their system and the risks to which it is exposed; (2) selecting complementary disciplines, theories and methods that are relevant to the system and risks in question; and (3) integrating knowledge from these different disciplines to detect a wide range of early warning signals of systemic risk. The framework can be used as a foundation to build transdisciplinary approaches to risk detection.
Towards an Uncertainty Management Framework for Model-Based Definition and Enterprise
Authors: Goher Kamran , Shehab Essam , Al-Ashaab Ahmed , Sarfraz Shoaib
Published: October 2021

Globally the manufacturing industry is undergoing a shift in the way product specifications are defined, used, and re-used from conventional drawing-based systems to a comprehensive 3D digital product model. This transformation is at the heart of the digitization processes. The true benefits lie in the adoption of this technology throughout the product lifecycle. However, this digital transformation is partial and many of the stages in the product lifecycle are still heavily reliant on traditional drawings. This is due to the involvement of several uncertainties in the process of adoption of model-based definition. In this paper, a framework is proposed for the systematic assessment of the prevailing uncertainties in the adoption of model-based definition and enterprise. The framework proposed in this paper is aimed at identifying, categorizing, prioritizing, and mitigating the uncertainties in this process.
Flexible Hiring Personnel Models to Promote Human Satisfaction and Business Profit for Service Industries
Authors: Trigos Federico , Doria Mario
Published: October 2021

In service industries personnel performance is key to achieve business excellence. Until recently, forty to forty eight hours per week labor contracts with equal daily schedules (eight hours per day) was the only way formal employees were hired in some countries. Recently, this trend has changed and some countries started to allow work contracts with less weekly hours and flexible daily schedules. This offers some degrees of freedom to employees to work less than eight hours per day and non-necessarily having the same timetable every workday. The fabric of society is impacted since now work is at reach for many people who cannot work full time schedules for diverse reasons. The contribution of this work is a Transdisciplinary Flextime Hiring Method that considers both employee and company needs. Using organisational design concepts (business management), flexibility is analysed through integer programming modelling (engineering optimisation) to evaluate cost changes resulting from implementing flextime (societal needs). Service companies may justify and implement flextime based on cost reductions, along with its associated improvement of employee satisfaction and commitment. Numerical analysis based on industry data illustrates these concepts and consequences.
Carbon Fiber Composites Application and Recycling in Kazakhstan and Neighboring Countries
Authors: Meiirbekov Arshyn , Amantayeva Akniyet , Tokbolat Serik , Suleimen Aidar , Sarfraz Shoaib , Shehab Essam
Published: October 2021

The use of carbon fiber reinforced polymers (CFRPs) has expanded in many industries due to superior properties compared to traditional materials. Nevertheless, their recycling is challenged by immature recycling market and poor legislative support. This study evaluates the application and disposal of CFRPs within the different industries in Kazakhstan. The study adopted a market-based analysis approach to understand the up-to-date levels of application of CFRPs across manufacturing, construction, aviation, and other relevant industries of Kazakhstan. The study also considered CFRP markets and associated recycling practices in neighboring countries such as China and Russia which have a significant impact on Kazakhstan in terms of import and export of materials and waste. The research findings indicate that the application of CFRPs varies among industries, construction being the most prominent, however, their recycling is not as organized as in other waste types such as plastic, metals, etc. Russia and China will be generating thousands of tonnes of CFRP waste originating from the wind turbine and aviation sectors in future, from which Kazakhstan may also see some benefits. The findings of the study are deemed to be useful for the government of Kazakhstan and waste recycling associated stakeholders for future considerations.
GPU-Enabled Physics-Based Floor Plan Optimization Based on Work Place Analytical Data
Authors: Nordin Axel
Published: October 2021

This paper presents an approach for optimizing floor plans using data collected from workplaces and a physics-based planning algorithm utilizing GPU-acceleration. The approach is compared to two approaches based on Genetic Algorithms and Particle Swarm Optimization. Common objectives, such as minimizing distance between related departments and daylight usage are optimized using the physics-based method in a case study of an actual plot and company. The results show that the physics-based approach is very efficient at handling large amounts of rooms compared to the other methods tested.
Rényi Differential Privacy Protection Algorithm for SVD Recommendation Model
Authors: Chen Shaoquan , Cai Jianping , Sun Lan
Published: October 2021

With the widely use of recommendation systems in various mobile applications, privacy leakage has been a longstanding threat, for which many researchers have come up with a great number of methods that achieve the protective effect to a certain extent. However, the protection scope of these methods is limited, especially in the protection of original data. To address this issue, we propose a data perturbation based Rényi differential privacy algorithm to protect the SVD recommendation model. This paper uses the data perturbation method to perturb the original training dataset in the data preprocessing stage, then leverages the perturbed data to train the SVD model, and the unperturbed data is used as a test set to verify the accuracy of the model. Compared with the objective perturbation, gradient perturbation, and output perturbation, the data perturbation can protect a broader range and realize the corresponding functions of the other three perturbed methods by using the post-processing property of differential privacy. Experimental results show that the proposed method can effectively protect user privacy, improve the effectiveness of data, and generate better recommendation results without seriously affecting the accuracy of the model.
A Deep Neural Network Model for the Prediction of Major Adverse Cardiovascular Event Occurrences in Patients with non-ST-Elevation Myocardial Infarction
Authors: Zheng Huilin , Sherazi Syed Waseem Abbas , Son Sang Hyeok , Lee Jong Yun
Published: October 2021

Cardiovascular disease (CVD) is one of the major causes of death all over the world and the mortality rate is higher than other causes. Hence, we propose a novel deep neural network (DNN)-based prediction model for the major adverse cardiovascular event (MACE) occurrences in patients with non-ST-Elevation myocardial infarction (NSTEMI) to improve the prediction accuracy of CVD. The research contents are described as follows. First, for the experiment, we use the Korean Acute Myocardial Infarction Registry (KAMIR-NIH) dataset with 2 years follow-ups and then preprocess the extracted data, such as processing the missing values, solving the imbalance problem, and applying the normalization meth to scale all the datasets in the same range for the experiment. Then we design a DNN-based prognosis model for the occurrences of MACE in NSTEMI patients. Finally, we evaluate the proposed model’s performance and compare it with several applied machine learning algorithms, such as logistic regression, K-Nearest Neighbors, decision tree, and support vector machine. The result shows that the performance of our proposed method outperformed other machine learning-based prediction models.
Do Reviews Influence Real Estate Marketing: The Experience Combing with Natural Language Processing
Authors: Wu Ting , Yu Guang , Li Tong , Shang Dan , Yan Wuwu
Published: October 2021

In the Internet era, since online user reviews play an important role in various fields, various industries including real estate industry attach great importance to that. However, according to the existing literatures, there is no clear conclusion that whether online user reviews have an impact on real estate marketing. In order to figure out this problem, this paper will combine traditional real estate theories and machine learning technology to mine data on Chinese real estate online user reviews. We use natural language processing technology and panel data regression analysis method to explore whether the emotional tendency of online user reviews have an impact on the price of second-hand housing in real estate companies, and research more deeply about its impact on marketing of real estate companies. Our research provides a reference for real estate companies to make effective marketing strategies.
Open Access Digital Thesaurus on Ethnic Groups in the Mekong River Basin
Authors: Chansanam Wirapong , Kwiecien Kanyarat , Buranarach Marut , Tuamsuk Kulthida
Published: October 2021

The ethnic group domain, in particular, is characterized by rich and diverse data sets in the Mekong River Basin (MRB). Ethnic groups’ vocabulary and relevant data come from various sources that cross history, language, and geography. As a result, distinct language is used by specialized groups to characterize their artifacts. Data interoperability among multiple catalogs is highly challenging as a result of this. The usage of controlled vocabularies and thesauri is generally considered a major practice for making preparations for standardization, which is essential for data reuse and sharing. In contrast, when used together, thesauri eliminate ambiguity in natural language, making it easier to identify and integrate data from different sources and allow scholars and computer programs to understand data more efficiently. This paper describes the modeling process of the EGMRB Thesaurus, its integration and role in the infrastructure, its publication as Linked Open Data, and the results of this work after six months of development. This paper presents the rationale behind the realization of this thesaurus. Thesaurus EGMRB (http://thesaurus.asiana.net/vocab/) provides a semantic resource on ethnic groups in the Mekong river basin. EGMRB is the outcome of interdisciplinary cooperation of specialists from the domains of ethnic groups and information science, who collaborated in the context of collaborative research. The thesaurus was developed in Simple Knowledge Organization System (SKOS), a standard data format based on the Resource Description Framework (RDF), using semantic web standard technologies. EGMRB is freely available online, with a SPARQL endpoint (http://thesaurus.asiana.net/vocab/sparql.php) for querying and an API (http://thesaurus.asiana.net/vocab/services.php) for system integration. Digital collections, digital exhibits, and a virtual study environment are being built as part of a digital platform that will give scholars and the general users search and content curation services. EGMRB, which provides unified ideas with related unique and resolvable URIs, can profoundly reduce the barriers to data discovery, integration, and sharing if adopted as a standard and carefully implemented and expanded by the academic community.
An Optimization of Several Distance Function on Fuzzy Subtractive Clustering
Authors: Surono Sugiyarto , Haryati Annisa Eka , Eliyanto Joko
Published: October 2021

Fuzzy Subtractive Clustering (FSC) is a technique of fuzzy clustering where the cluster to be formed is unknown. The distance function in the FSC method has an important role in determining the number of points that have the most neighbors. Therefore, this study uses several distance functions. The results obtained indicate that the DBI results indicate that the Euclidean distance has a good cluster evaluation result in the number of clusters 4. Meanwhile, for the PC value the combination of the Minkowski Chebysev distance produces a good PC value in the number of clusters 2.
Optimization Model of Unmanned Aerial Vehicle Distribution Path with Integrated Loading and Unloading
Authors: Wu Lei , Wei Ming , Chen Xiang
Published: October 2021

Unmanned aerial vehicle (UAV) delivery has the advantages of small size, high speed, and low cost. A new drone delivery path optimization model with loading and unloading integration is proposed in this study to make full use of UAV(drone) delivery by improving its efficiency. The model considers drone range constraints and loading capacity limitations, analyzes the start and end points of multiple orders, assigns orders to drones from the optimal distribution centers, calculating the order and time to visit all sets and delivery points, and pursuing the least transportation mileage. The ant colony optimization (ACO) algorithm is adopted to solve the problem in two stages. In the first stage, construction rules and pheromones of the solution are defined, and the orders to the UAVs are assigned. In the second stage, by adding constraints to the ACO algorithm, the sequence order of the UAVs visiting the set and delivery points is determined to obtain the optimal path. Finally, a GIS-based delivery platform is developed using Java Development Kit, which is used to produce the optimal scheduling scheme for an example case. A sensitivity analysis of the model parameters is conducted t, which proves the proposed model effectiveness.
Improved influential nodes identification in complex networks
Authors: Dong Shi , Zhou Wengang
Published: October 2021

Influential node identification plays an important role in optimizing network structure. Many measures and identification methods are proposed for this purpose. However, the current network system is more complex, the existing methods are difficult to deal with these networks. In this paper, several basic measures are introduced and discussed and we propose an improved influential nodes identification method that adopts the hybrid mechanism of information entropy and weighted degree of edge to improve the accuracy of identification (Hm-shell). Our proposed method is evaluated by comparing with nine algorithms in nine datasets. Theoretical analysis and experimental results on real datasets show that our method outperforms other methods on performance.
Intelligent system for leaf disease detection using capsule networks for horticulture
Authors: Janakiramaiah B. , Kalyani G. , Prasad L.V. Narasimha , Karuna A. , Krishna M.
Published: October 2021

Horticulture crops take a crucial part of the Indian economy by creating employment, supplying raw materials to different food processing industries. Mangoes are one of the major crops in horticulture. General Infections in Mango trees are common by various climatic and fungal infections, which became a cause for reducing the quality and quantity of the mangos. The most common diseases with bacterial infection are anthracnose and Powdery Mildew. In recent years, it has been perceived that different variants of deep learning architectures are proposed for detecting and classifying the problems in the agricultural domain. The Convolutional Neural Network (CNN) based architectures have performed amazingly well for disease detection in plants but at the same time lacks rotational or spatial invariance. A relatively new neural organization called Capsule Network (CapsNet) addresses these limitations of CNN architectures. Hence, in this work, a variant of CapsNet called Multilevel CapsNet is introduced to characterize the mango leaves tainted by the anthracnose and powdery mildew diseases. The proposed architecture of this work is validated on a dataset of mango leaves collected in the natural environment. The dataset comprises both healthy and contaminated leaf pictures. The test results approved the undeniable level of exactness of the proposed framework for the characterization of mango leaf diseases with an accuracy of 98.5%. The outcomes conceive the higher-order precision of the proposed Multi-level CapsNet model when contrasted with the other classification algorithms such as Support Vector Machine (SVM) and CNNs.
Random Transformation of image brightness for adversarial attack
Authors: Yang Bo , Xu Kaiyong , Wang Hengjun , Zhang Hengwei
Published: October 2021

Deep neural networks (DNNs) are vulnerable to adversarial examples, which are crafted by adding small, human-imperceptible perturbations to the original images, but make the model output inaccurate predictions. Before DNNs are deployed, adversarial attacks can thus be an important method to evaluate and select robust models in safety-critical applications. However, under the challenging black-box setting, the attack success rate, i.e., the transferability of adversarial examples, still needs to be improved. Based on image augmentation methods, this paper found that random transformation of image brightness can eliminate overfitting in the generation of adversarial examples and improve their transferability. In light of this phenomenon, this paper proposes an adversarial example generation method, which can be integrated with Fast Gradient Sign Method (FGSM)-related methods to build a more robust gradient-based attack and to generate adversarial examples with better transferability. Extensive experiments on the ImageNet dataset have demonstrated the effectiveness of the aforementioned method. Whether on normally or adversarially trained networks, our method has a higher success rate for black-box attacks than other attack methods based on data augmentation. It is hoped that this method can help evaluate and improve the robustness of models.
A novel deep convolution generative adversarial transfer learning model for data-driven assembly quality diagnosis
Authors: Luo Wentao , Feng Pingfa , Zhang Jianfu , Yu Dingwen , Wu Zhijun
Published: October 2021

As the service life of the assembly equipment are short, the tightening data it produces are very limited. Therefore, data-driven assembly quality diagnosis is still a challenge task in industries. Transfer learning can be used to address small data problems. However, transfer learning has strict requirements on the training dataset, which is hard to satisfy. To solve the above problem, an Improved Deep Convolution Generative Adversarial Transfer Learning Model (IDCGAN-TM) is proposed, which integrates three modules: The generative learning module automatically produces source datasets based on small target datasets by using the improved generative-adversarial theory. The feature learning module improves the feature extraction ability by building a lightweight deep learning model (DL). The transfer learning module consists of a pre-trained DL and a one fully connected layer to better perform the intelligent quality diagnosis on the training small sample data. A parallel computing method is adopted to obtain produced source data efficiently. Real assembly quality diagnosis cases are designed and discussed to validate the advance of the proposed model. In addition, the comparison experiments are designed to show that the proposed approach holds the better transfer diagnosis performance compared with the existing three state-of-art approaches.
The Safety and Security of Cultural Heritage in Zones of War or Instability. The Importance of Raising Awareness for a Multidisciplinary Approach – An Introduction
Authors: Romiti Beatrice
Published: October 2021

This article is the result of a long, general reflection on all Cultural Heritage in the world, and in particular on the small and large problems related to it. The Cultural Heritage of humankind has been subject to increasing assault, both deliberate and unintended, in war and conflict zones. With this article, we want to highlight the importance of increasing awareness of the risks faced by Cultural Heritage that persist in war zones and unstable areas of the globe, which have prompted us to create this project as an Advanced Research Workshop.
The Reconstruction and Reopening of the Mostar Bridge and the Protection and Safeguarding of Orthodox Monasteries in Kosovo
Authors: Morabito Giuseppe
Published: October 2021

The article discusses two of episodes in which I was directly involved. The first concerns the protection and safeguarding of Orthodox monasteries in the territory of Kosovar starting in 1999 during the NATO operation in Kosovo. In particular, the Visoki Decani Monastery is a large monastery of the Serbian Orthodox Church 12 kilometers south of the city of Peć where the Italian Army Brigade had its headquarters. The Monastery is the largest medieval church in the Balkans and contains the largest surviving Byzantine fresco. The second concerns the reconstruction and reopening of the Mostar Bridge in 2004 during the NATO operation in Bosnia Herzegovina. The bridge called Stari Most is a 16th-century Ottoman bridge in the city of Mostar that spans the Neretva River to join the two parts of the city divided by the river. It was destroyed during the Bosnian war on the morning of 9 November 1993. Under the control of the NATO peacekeeping units it was rebuilt and reopened on 2004.
ENEA’s Optical Sensors for Local and Remote Sensing of Cultural Heritage
Authors: Palucci Antonio , Caponero Michele Arturo , Caneve Luisa , Di Frischia Stefano , Francucci Massimo , Guarneri Massimiliano , Spizzichino Valeria
Published: October 2021

Cultural heritage protection and safeguarding is a clear problem for the worldwide community because the legacy and identity of communities has to be kept alive and transmitted to future generations. To this end optical technologies have an important role to play in defining state-of-the-art conservation, guiding restauration, and exploring new opportunities in virtual and augmented realities where other complementary information can be merged. ENEA has developed different laser-based sensors for remote and local diagnostics that have already been deployed in field campaigns implementing different spectroscopic techniques that supply prompt information in real time and are non-destructive and non-invasive as regards the artifact being studied. Here the technical characteristics and performances of the tools are briefly described, and examples provided of monitoring applications of paintings, statues, woods, metals and structural observations (tensions and vibrations).
COMPUTATIONAL REPURPOSED LIGANDS: POTENTIAL CURE FOR BLACK FUNGUS
Authors: Sreekumar Anagha , N Neha , Jayasankar Varsha , Dhipu Dhiya
Published: October 2021

A rare but serious fungal infection, known as mucormycosis and colloquially as “ Black fungus”, is being detected relatively frequently among Covid 19 patients in some states of India. The disease often manifests in the skin and also affects the lungs and the brain.  With no prompt medicines accessible the scourge brought about by the disease is expanding step by step. A ton of researchers are continuing for the potential medication up-and-comer that could help the medical care framework in this battle. We present a docking?based screening using a quantum mechanical scoring of a library built from approved drugs and compounds that Cefuroxime, Amoxicillin, Peramivir, Fluconazole, Itraconazol, Micafungin,Quercetin, Carvacrol, Xanthones,Curcumin,Thymol and Resveratrol with Proteins with PDB id  6VCT could display antibacterial  activity against Black fungus. Clearly, these compounds should be further evaluated in experimental assays and clinical trials to confirm their actual activity against the disease. We hope that these findings may contribute to the rational drug design against Black fungus.
İnce Kesitli Bilgisayarlı Tomografide Sakral Vertebralar Arası Füzyon Derecesine Bakılarak Yaş Tayini Değerlendirilmesi
Authors: TOBCU Eren , GÖKALP Gökhan
Published: October 2021

Kemik yaşı tayininin tıbbi ve adli uygulamalarda önemli bir yeri vardır. Günümüzde 18 yaş altı bireylerde tamamlanmış el ve el bileği kemik osifikasyonularına bakılarak yaş tayini yapılabilmektedir. Ancak tamamlanmış el ve el bileği osifikasyonları nedeni ile 18 yaş üstü vakalarda yaş tayini yapmak oldukça zordur. Bu pilot çalışma, 18 yaş üstü bireylerde sakral vertebra korpusları arasındaki füzyon derecesini skorlayarak, yaş tayini yapılabilmesini amaçlamaktadır. Çalışmamızda, lomber ya da sakrum bilgisayarlı tomografi (BT) tetkiki yapılmış, yaşları 15-64 arasında değişen 174 erkek, 179 kadın toplamda 353 hastanın sagittal reformat BT görüntüleri iki radyolog tarafından retrospektif olarak çift kör değerlendirilmiştir. Sakral vertebra korpusları arasındaki füzyon dereceleri Belcastro ve ark.’nın tanımladığı 4’lü evreleme sistemine göre evrelendirilmiştir. Çalışmamızda erkek olgularda yaş ile sakral füzyon skorları arasında istatistiksel olarak anlamlı ilişki saptanmıştır (p<0,05). Kadın olgularda ise S2-S3 ve S3-S4 düzeyleri için yaş ile sakral füzyon düzeyleri arasında istatistiksel olarak anlamlı farklılık mevcuttur (p<0,05). Ayrıca kadın olgularda genel olarak aynı yaş grubundaki erkeklere kıyasla daha ileri füzyon dereceleri izlenmiştir. Ancak her iki cinsiyette de Spearman korelasyon katsayısı ile yapılan incelemede sakral vertebral füzyon dereceleri ile yaş arasında düşük derecede uyum olması, bu tekniğin pratikte yaş tayininde uygulanabilirliğinin önünde engel oluşturmaktadır. Bu konuda objektif bir değer-lendirmenin yapılabilmesi için daha fazla olgu sayısı ile yeni araştırmaların yapılması gerekmektedir.
УПРАВЛІННЯ РИЗИКАМИ ІНФОРМАЦІЙНИХ СИСТЕМ: ЕТАПИ ПРОЦЕСУ УПРАВЛІННЯ РИЗИКАМИ
Authors: Терещенко Лариса
Published: October 2021

Використання інформаційних систем (ІС) пов'язано з певною сукупністю ризиків. Під ризиком, як правило, розуміється можливість того, що будь-які цілі під час реалізації проєкту автоматизації діяльності підприємства не будуть досягнуті. Аналізу факторів ризику передують: планування заходів для зниження впливу факторів ризику на результат проєкту і прийняття рішень на різних етапах процесу створення інформаційної системи. Усі суб'єкти, які беруть участь і приймають рішення у процесі автоматизації підприємства (замовник – підприємство і системний інтегратор – постачальник), здійснюють аналіз ризиків кожний зі своєї позиції. Тому необхідно вжити економічно виправдані заходи захисту, коли можливий збиток неприйнятно великий, З точки зору інформаційної безпеки, періодичне переоцінювання ризиків є необхідним для контролю ефективності діяльності в галузі інформаційної безпеки.
IMPLEMENTASI KONSELING KELOMPOK UNTUK MENGATASI PRAKTIK BULLYING
Authors: Azhari Azhari
Published: October 2021

Masalah bullying pada peserta didik saat ini belum banyak menjadi perhatian dalam ruang pendidikan yang semakin memprihatinkan. Dari itu, penelitian ini bertujuan untuk melihat implementasi konseling kelompok sebagai upaya penyelesaian masalahan bullying pada siswa melalui penelitian lapangan (field research). Di dalamnya peneliti mencoba menguraikan pandangan berpikir yang menekankan pada fokus pengalaman subjektif melalui observasi terdapat naskah wawancara, catatan lapangan, foto, memo, dan dokumen lainnya, dengan menggunakan analisis Miles dan Huberman seperti reduction data (reduksi data), display data (penyajian data) dan verifikasi data (kesimpulan).

Hasil lapangan menunjukkan bahwa penyelesaian praktik bullying melalui konseling kelompok dikemas dalam empat sesi yaitu: Sesi I pembentukan  kelompok. Sesi II peralihan, bertujuan agar terjadi umpan balik, kedekatan emosional antara peserta didik dengan konselor serta proses identifikasi masalah yang dihadapi peserta didik. Sesi III kegiatan berisi model materi diantaranya: model konseling kelompok berbasis pendekatan persuasif, model konseling kelompok berbasis pendekatan klasikal, model konseling berbasis pendekatan sosial, model konseling kelompok berbasis pendekatan Islam. Sesi IV penutup. Tujuan secara umum implementasi konseling kelompok untuk mengembalikan hubungan pikiran dan perasaan yang negatif kepada hubungan pikiran dan perasaan yang positif dalam membentuk prilaku baru sehingga ketika selanjutnya berhadapan dengan masalah, peserta didik mampu menemukan alternatif-alternatif positif dalam pencapaian jalan keluar.  Kendala yang dihadapi diantaranya kendala internal peserta didik dan kendala internal konselor.
POLA PENGASUHAN PADA KONTEKS KEMATANGAN EMOSIONAL IBU SINGLE PARENT
Authors: Julia Holta , Jarnawi Jarnawi , Indra Syaiful
Published: October 2021

Setiap orangtua memiliki gaya pengasuhan tersendiri dalam mengasuh anak, begitu pula dengan orangtua single parent tentu memiliki gaya pengasuhan tersendiri dalam mengasuh anaknya. Sebagai orangtua single parent yang menjalani tanggung jawab yang seharusnya dijalankan oleh dua orang, tentu sangat memberatkan selain harus mengasuh anak mereka juga harus bekerja untuk memenuhi kebutuhan keluarga. Metode yang digunakan dalam penelitian ini adalah deskriptif analisis dengan pendekatan kualitatif dan jenis penelitian ini adalah penelitian lapangan (Field Research). Adapun teknik pengumpulan data dalam penelitian ini adalah observasi, wawancara, dan studi dokumentasi. Dalam penelitian ini pengambilan sampel menggunakan teknik purposive sampling dengan empat ibu single parent dan empat orang anak. Dari hasil penelitian diketahui satu responden dari keempat ibu single parent menerapkan pola asuh yang mengarah pada pola asuh permisif didalam mendidik anak, dikarenakan kesibukannya sebagai single parent yang menjalankan sebagai dua peran sehingga tidak banyak waktu dalam membimbing dan memperhatiakan kegiatan anak, sedangkan tiga ibu single parent lainya menerapkan pola asuh yang mengarah kepada pola asuh demokratis saling terbuka dengan anak, perduli, dan juga memberikan kasih sayang yang cukup serta bertanggung jawab kepada anak walaupun sebagai single parent. Adapun hambatan yang dihadapi oleh single parent antara lain terdiri dari dua hambatan yaitu internal dan eksternal, yang sering terjadi dalam sebuah keluarga kurang komunikasi dengan anak dan kurangnya berinteraksi dengan masyarakat.
Locus of control and Student Achievement
Authors: Sujadi Eko
Published: October 2021

Abstract. Locus of control is one of the personality characteristics possessed by humans. Locus of control can be divided into two, namely internal locus of control and external locus of control. Locus of control is a predictor of several other variables, such as learning achievement. The purpose of this study was to determine the relationship of locus of control with learning achievement. This research uses descriptive and correlational methods. The instrument filling is done online by using the google form application considering the increasing spread of COVID-19. Finally, as many as 36 students participated in filling this instrument. In this study, researchers used the Rotters Internal-External Locus of Control (IE Scale) inventory consisting of 29 items, of which there were 6 filler items, so that the total number of items that could be processed was 23 items, while to see learning achievement using the Grade Point Average (GPA) that researchers get from the Academic Information System (SIAKAD). Research findings show that locus of control has a strong negative relationship with student learning achievement. We advise students to have an internal locus of control while continuing to believe in God; The counselor is expected to be able to arrange an intervention program for students who have an external locus of control and have low learning achievement.
Konstruk Pendidikan Multikultural (Studi Urgensi Integrasi Nilai-nilai Multikultural dalam Kurikulum Pendidikan)
Authors: Jalwis Jalwis , Habibi Nicolas
Published: October 2021

Pendidikan multikultural merupakan pendidikan yang mengajarkan nilai-nilai heterogenitas kepada peserta didik secara komprehensif dan menyeluruh. Lahirnya diskursus pendidikan multikultural merupakan sebuah respon terhadap gejala multikulturalisme yang ada dalam masyarakat Indonesia. Untuk itu eksistensi pendidikan multikultural adalah menciptakan stabilitas dan integrasi nasional, serta peningkatan terhadap kualitas peradaban masyarakat ke arah yang positif. Ada tiga ide pokok dalam pendidikan multikultural, yaitu: (1) kesetaraan (equality) yang meliputi harkat keutamaan yang setara (equal dignity) dan pengakuan/perlakuan yang setara (equal respect); (2) konsep keragaman yang memandang kemajemukan sebagai realitas yang tak terbantahkan, bahkan dalam satu kelompok pun yang diklaim sama, juga terdapat keragaman; dan (3) Integrasi dalam kerangka collective identities, memberi dan menerima, saling mempengaruhi dan interaksi, sehingga tidak ada ketertutupan, segregasi dan benturan antar budaya. Untuk membuktikan penjelasan paparan data tersebut, penelitian ini menggunakan pendekatan fenomelogi. Penelitian ini membuktikan bahwa`sejatinya realitas pendidikan multikultural bertujuan untuk menjadi salah satu alternatif pendidikan yang bisa dijadikan sebagai model pendidikan di Indonesia, karena sunatullah masyarakat Indonesia yang multikultural. Semua individu dalam masyarakat memiliki kesetaraan nilai, derajat dan peran dalam mengabdikan serta menjalankan peran masing-masing dalam komunitasnya. Untuk itu, pendidikan multikultural harus diajarkan kepada masyarakat Indonesia.
Pengembangan Media Pembelajaran Berbasis Prezi
Authors: Nasution Eline Yanty Putri , Siregar Nur Fauziah
Published: October 2021

ABSTRAK. Penelitian ini bertujuan untuk menghasilkan suatu media pembelajaran berbasis Prezi yang valid, praktis dan efektif. Penelitian ini merupakan penelitian pengembangan dengan menggunakan model 4-D yang terdiri atas 4 tahap, yaitu: 1) pendefinisian, 2) perancangan, 3) pengembangan, dan 4) penyebaran. Media pembelajaran yang dikembangkan dalam penelitian ini adalah suatu alat presentasi digital berbasis Prezi pada materi Geometri bagi mahasiswa kelas 4B jurusan Tadris Matematika IAIN Kerinci Tahun Ajaran 2017/2018. Media pembelajaran berbasis Prezi ini terlebih dahulu diperiksa validitasnya untuk kemudian diujicobakan dan diimplementasikan pada proses perkuliahan di dalam kelas. Validasi dilakukan oleh ahli pendidikan matematika, pendidikan dasar dan bahasa. Kepraktisan media pembelajaran diselidiki dengan cara mengamati pelaksanaan perkuliahan, pengisian angket praktikalitas oleh mahasiswa, serta wawancara kepada mahasiswa. Keefektifan media pembelajaran diselidiki dengan cara mengamati aktivitas dan hasil belajar mahasiswa. Seluruh data yang diperoleh dianalisis secara deskriptif. Hasil analisis data menunjukkan bahwa: 1) media pembelajaran berbasis Prezi sudah valid berdasarkan segi konstruk dan isinya; 2) media pembelajaran berbasis Prezi juga sudah dapat dikatakan praktis berdasarkan pelaksanaan perkuliahan; dan 3) media pembelajaran berbasis Prezi sudah efektif terhadap aktivitas dan hasil belajar mahasiswa. Berdasarkan hasil uji coba dan implementasi media serta hasil analisis data dapat disimpulkan bahwa media pembelajaran berbasis Prezi sudah valid, praktis dan efektif.
Decision Support System for Assessment of Learning Process Using Simple Additive Weighting
Authors: Nurninawati Euis , Henderi Henderi , Sudaryono Sudaryono
Published: October 2021

Lecturers are entitled to get promotions and awards in accordance with their academic performance. Service of teaching and learning process of quality and professional will affect hope and feeling of satisfaction for student to spirit in follow lecture. Performance appraisal according to the favorite lecturer selection guidelines are (a) giving the syllabus at the beginning of the semester, (b) teaching on time, (c) mastering the taught material, (d) correcting assignments and timely grades and (e) serving academic guidance students well. Lecturers who can be elected are a lecturer who have given lectures on all courses in the department at least two semesters and are not currently following the learning task and has provided academic guidance services at least two semesters. Because there is no objective method to decide better and faster, based on existing data. Making the information system that can provide recommendations needed a proper method of decision making. Simple Additive Weighting (SAW) method is appropriate for the decision-making process because it can determine the weight value for each attribute, then proceed to the ranking process that will select the best alternative from some of the best alternatives.
Application of I-BOS System as Financial Reporting of BOS at SDN Sukanagara
Authors: Febriyanto Erick , Aini Qurotul , Mustopa Aa
Published: October 2021

The School operational Assistance (BOS) is a government program for the provision of cost financing for basic education units as compulsory learning program executor. The particular purpose is to relieve the levy to relieve the burden of students. All schools are already listed in primary and secondary education principal data system. School is the most important element in determining the use of BOS funds because it is directly related to management. Based on the provisions applicable in the the Office of the BOS year 2012 BOS fund managed by the principal with the teacher or administrative personnel appointed as Treasurer. The current financial information on the world of education in which the data input collection is very complicated in the system of the process is very effective and efficient, in order to see data on the purchase or expense after that the Treasurer must Check back the statement of purchase and expense papers on the bank and all the reports of the paper have been made by the current Treasurer can be easily accessed by the leadership, one of which is presenting information using tables and in The workmanship system requires very high accuracy to ensure that any nominal information of money included in the table has to be ensured the truth is very less efficient. In order to facilitate the Treasurer in the recording of financial statements and leaders who perform a reduction in the information presented at SDN Sukanagara.
The Differences in Mean and Volatility Shock Transmission among Bitcoin, Currencies from Developed Countries, and Currencies from Emerging Countries
Authors: TOUIJRAT Boubaker , BENAID Brahim , BOUZAHIR Hassane
Published: October 2021

This paper studied the mean and volatility transmission among Bitcoin as the most prominent cryptocurrency, exchange rates from developed countries/regions, and exchange rates from emerging countries/regions. Using daily returns between January 1, 2015, and December 31, 2018, and Bivariate VAR - Diagonal VECH models. The empirical results suggest there was no mean transmission between USD/EUR and USD/BTC. However, there was a unidirectional mean shock transmission link from USD/CNH, USD/MAD, and USD/IDR to USD/BTC. The results also suggested the existence of a bidirectional cross-volatility persistence link between bitcoin and all the exchange rates, except for USD/IDR and a bidirectional cross-volatility spillover link between USD/BTC and USD/CNH. A critical implication of these results is that they will be of use to investors, speculators, risk managers, and policymakers in understanding the degree of integration in terms of volatility and return among Bitcoin, currencies from developed, and currencies from emerging countries.
Kompetencje negocjacyjne studentów a styl negocjacji i podatność na manipulację
Authors: Myśliwiec Grzegorz
Published: October 2021

Przedmiotem artykułu są schematy myślenia i działania umożliwiające organizowanie rzeczywistości, które dają komfort zachowania w znanych sytuacjach, wydarzeniach czy środowiskach. Skuteczność tych schematów zweryfikowano w odniesieniu do kompetencji i doświadczeń negocjacyjnych w rozpoznawaniu i obronie przed manipulacją wśród studentów i absolwentów uczelni. W badaniu ankietowym zastosowano testy reagowania na konflikt i opisy 10 sytuacji manipulacyjnych. Badaniu poddano dwie grupy respondentów – trenowanych negocjacyjnie oraz nietrenowanych i nienegocjujących zawodowo. Wykazano, że grupa badawcza, do której należą członkowie i alumni organizacji związanej z negocjacjami, uzyskała wyższe wartości punktowe przy stylach współdziałania oraz kompromisu, a mniejsze w stylu rywalizacji niż grupa badawcza nietrenowana. Druga część badania związana z manipulacjami dała wyniki bardzo zbliżone, wyraźnie pokazując, przy których technikach manipulacji badani mieli problem. Same wyniki przedstawiały zadowalający poziom rozpoznania manipulacji wśród obu grup, w przybliżeniu wynosząc 6 rozpoznań na 10 podanych manipulacji.
INTERMODULATION DISTORTIONS IN TUNABLE LC FILTERS BASED ON VARICAPS
Authors: Zabegailo I. V. , Yakovlev A. N.
Published: October 2021

The article discusses the issues of minimizing intermodulation distortions arising in tunable bandpass filters made with the use of varicaps. It presents the analysis of the tunable filter circuits, on the basis of which we determined the circuits with minimum intermodulation distortions.
Bone Mineral Density and Body Mass Index in Postmenopausal Women
Authors: Nahar Kamrun , Al Zahid Bhuiyan Mohammed Mehedi , Mia Md Azzad , Hossain Arshad , Tasnim Humayra
Published: October 2021

Osteoporosis is a typical medical issue that overwhelmingly influences postmenopausal women. A bone density test is the only test that can diagnose osteoporosis before a broken bone occurs. The aims of this study was to find out the relationship between bone mineral density (BMD) and body mass index (BMI) in postmenopausal females. This cross sectional descriptive study was carried out in the Institute of Nuclear Medicine and Allied Sciences (INMAS), Sylhet. Study subjects comprised of 117 postmenopausal women between ages 45 to 85 years, with a mean age of 60.8 ± 9.2 years, who underwent BMD scan from January 2018 to June 2019. Duration of the study was 5 months ( march 2019 to august 2019). BMD was measured by the MedilinkMedix DR system. Findings of BMD of right femur showed osteopenia and osteoporosis (low BMD) in most of the women with under weight (81.0%) about one third  (32.3%) of normal body weight and few (16.7%) of them over weight. Contrarily in left femur, low BMD was found in 08 (80.0%), 25 (40.3%) and 6 (16.7%) among underweight, normal, overweight patients respectively.   According to BMI compare to the lumbar spine, low BMD was found in 48 (77.4%), 10 (100 %), 20 (55.6%), 03 (33.3%) among normal, underweight, overweight, and obese patients respectively. Relationship among BMD and BMI was found statistically significant in the both femurs (p < 0.001) and lumbar spine (p = 0.02). Low BMD was more severe in the 65-74 years’ age group in both femurs 65.4% and 65-85 years’ age group in lumbar spine 84.6% compare to other groups. The findings of this study reveal that low BMI and aging are associated with bone loss. Routine BMD checking in postmenopausal women might be important to initiate an early clinical intervention for osteoporosis.

Bangladesh Med J. 2020 Sept; 49(3) : 22-28
Evaluación del consumo de energía eléctrica de acuerdo a la arquitectura bioclimático mediante el Modelo ASHRAE y Gauss T-Student
Authors: Cuji Cristian , Sisa Henry David
Published: October 2021

La presente investigación evalúa los resultados del consumo de energía eléctrica en ambientes normales con el fin de alcanzar condiciones óptimas de confort, aprovechando las condiciones bioclimáticas y aire acondicionado, proponiendo el modelo Gauss T-Student como método para estimar la frecuencia de trabajo de aire acondicionado, con condiciones de temperatura, humedad relativa y velocidad del viento desde el 8 de agosto del 2018 hasta el 8 de agosto del 2019 de la localidad de Guayaquil-Ecuador. La idea clave es combinar el conocimiento previo del modelo The American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE), como método para el análisis de arquitectura bioclimática por ganancias de energía térmicas, para estimar la temperatura de sensación interna y controlarla por medio del modelo probabilístico. Los resultados del consumo eléctrico son aplicables a simulación del sector comercial para satisfacer las necesidades de confort.
Diagnóstico de acueductos rurales abastecidos de fuentes subterráneas: caso de estudio El Calabacito, Provincia de Herrera, Panamá
Authors: Melgar Yarelis , Deago Euclides , Tejedor Nathalia
Published: October 2021

La calidad del agua está ligada a la salud y garantizarla supone el bienestar colectivo de la población; por lo tanto, los esfuerzos de las naciones deben ir orientados a suplir este derecho universal. En Panamá, la calidad del agua para el consumo y la seguridad alimentaria supone un gran desafío: el cumplimiento total del Objetivo 6 de los Objetivos de Desarrollo Sostenible para el año 2030. Esta investigación revela la influencia de aspectos técnicos y sociales en la calidad del agua de cuatro acueductos rurales en El Calabacito; sistemas que se abastecen de pozos de agua subterránea que no reciben tratamiento oportuno. En este sentido, se efectuaron análisis de laboratorio durante 2018-2019, como parte del estudio “Diagnóstico y mejoras al sistema de acueducto rural de las comunidades de Ojo de Agua, Las Lomas, La Canoa y El Calabacito”, para conocer el estado fisicoquímico y microbiológico del agua en el área de estudio. Se encontró que la calidad fisicoquímica es aceptable para el consumo; no obstante, es necesario aplicar tratamiento para reducir las concentraciones de coliformes totales reportadas en los análisis. Considerando las características tecnológicas y socioeconómicas del área de estudio, se recomienda la desinfección del agua con cloro, para potenciar el beneficio/costo en el proceso de tratamiento previo. Es aconsejable, además, el monitoreo de parámetros como la turbiedad, alcalinidad, dureza y cloro residual de las fuentes; debido a concentraciones por encima de los valores máximos permitidos por los reglamentos técnicos DGNTI-COPANIT 23-395-99 y 21-2019.
Tek Parti Döneminde Suriye-Türkiye Dış Politikasında Fransa'nın Rolü
Authors: ÇOBAN KARABULUT Pakize
Published: October 2021

Suriye’nin 1920 San Remo Konferansı’nda Fransa’nın mandası kabul edilmesi ile Türkiye, Suriye ile olan tüm ilişkilerini Fransa aracılığıyla yürütmüştür. Bu süreçte Fransa 1921 Ankara İtilafnamesi ile Türkiye’nin güney komşusu olmuştur. Fransa ile ilişkiler, Birinci Dünya Savaşı’nda Osmanlı Devleti’nin dağılmasının ardından Millî Mücadele döneminde Ankara Hükümeti ile güney cephesinde tekrar başlamıştır. Millî Mücadelenin başarıyla tamamlanması sonucu Fransa ile Lozan Barış Antlaşması hükümlerine göre 1923’ten itibaren ekonomik ve siyasî ilişkiler devam etmiştir. Fransa, Suriye’de iç politikada etnik ve dinî yönden parçalanmış bir yapı meydana getirdiği gibi; dış politikada da Suriye’nin komşularıyla iyi ilişkiler kurmasına engel olmuştur. Fransa’nın Türkiye üzerinden Osmanlı Devleti’ni canlandıracağı ile ilgili propagandaları, ülkedeki Kürtleri ve Ermenileri kışkırtması Suriye’nin etkin bir siyasî ve ekonomik politika takip etmesini engellemiştir.

Çalışmada tek parti döneminde Türkiye ve Suriye’nin siyasi ve ekonomik ilişkilerinde Fransa’nın rolü Türkiye’deki arşiv kaynakları üzerinden tartışılmıştır.