bluuebunny/crossref_metadata_2025 huggingface dataset:
Higher Education Non-Completion, Employers, and Labor Market Integration: Experimental Evidence
Authors: Neugebauer Martin , Daniel Annabell
Published: October 2021

Theories of job assignment suggest that employers give a lot of weight to achieved educational credentials. But what if credentials are missing? We theorize how college non-completion affects the hiring chances, identify its causal effect in different labor market segments, and assess which factors facilitate labor market entry for dropouts. Based on a simulated hiring process with N = 1,382 German employers who rated more than 10,000 fictitious CVs, we show that college non-completion is not a scar per se, but rather depends on the educational attainment of the competitors who constitute the labor queue, and on the degree of occupational closure which varies on a granular level between firms that hire for the same occupations. We also find that employers, when rating dropouts, attach most value to CV attributes that signal a high stock of job-relevant skills, such as good performance during college or an occupation-specific internship. We conclude by discussing implications of our work for research on the labor market integration of dropouts.
MANAJEMEN PEMBINAAN UMAT BUDDHA
Authors: Nyanasuryanadi Partono
Published: October 2021

Juru penerang (Dharmaduta) sebagai bagian dari penerus Dharma, dalam melaksanakan tugasnya membutuhkan keterampilan manajemen dalam merencanakan, mengorganisasi, memimpin, dan mengendalikan kegiatanpembinaan umat di lapangan.
PECULIARITIES, TYPOLOGY AND CHRONOLOGY OF THE RUSSIAN REVOLUTIONS AND THE CIVIL WAR IN THE WORKS OF A.V. SHUBIN
Authors:   INION RAN, Ljubin Valeriy
Published: October 2021

The review analyzes the approaches of the well-known Russian historian A.V. Shubin to the coverage of the typology of revolutions and the features and chronology of the Great Russian Revolution of 1917 and the Civil War of 1918-1922. Alexander Vladlenovich Shubin is Doctor of Historical Sciences, Chief Researcher at the Institute of World History, Russian Academy of Sciences, Professor at Russian State University for the Humanities, author of more than 20 monographs and about 200 scientific publications on the problems of Soviet history and history of leftist ideas and movements.
BIOGRAPHY IN RUSSIAN AND FOREIGN HISTORICAL SCIENCE
Authors:   INION RAN, Dunaeva Yulia
Published: October 2021

The review examines the place and role of biography in present historical science. Different definitions of biography are given. Special attention is paid to biography and micro-history.
Media Concentration: A Critical Political Economy Perspective
Authors: Knoche Manfred
Published: October 2021

This article presents foundations of the analysis of media concentration from the perspective of the approach the critique of the political economy of the media and communication. It outlines the dangers and problems of media concentration, discusses the question of how to measure media concentration, identifies different types of media concentration, and gives a systematic overview of empirical studies of media concentration. As a result of the country comparison on a theoretical (macro) level with an analytically required high level of abstraction, first and foremost identities, commonalities and similarities with regard to the development of media concentration including its causes and consequences can be recognised. The author argues that media concentration also needs to be theorised. It distinguishes and discusses two such theoretical approaches: apologetic-normative competition theories of media concentration and critical-empirical theories of media concentration. Critical-empirical theories of media concentration situate media concentration in the context of the development of capitalism, which requires to use the critique of the political economy as theoretical foundation.
Introducing Rapid Change Escalades to Adjust Organisational Issues in Clinical Practice
Authors: Kulik Gerit , Kulik Gerit , Paccaud Daniele , Perey Laurie , Hamelin Mario , Renon Eva , Zouggagh Siheme , Nowicki Anne , Lopes Freire Alexandre , Duchoud Lorry , Damian Eric , Cissoko Kaba , Chevalley Julien , Cartiser Frederic , Simon Christian
Published: October 2021

Background: Running clinical facilities implies facing many challenges, as neat time management and fluid care processes. A method that warrants small changes and an interconnected and collaborative proceeding is convenient for adjusting clinical processes and avoiding unwanted side effects. From an organizational perspective, a smooth clinical process translates also into a levelled occupation of team members as reflected by over-time and absenteeism.
Methods: The policlinic nurse team introduced weekly mini-huddles of maximum 15 minutes to discuss work organizational issues, with structured access to collaborating professionals and their hierarchies. The team selected the topic of patients presenting without a planned appointment. Nurse’s over-time stock and absenteeism were assessed before and after the intervention.
Results: The clinical process had six steps, of which the patient’s waiting room period was transformed into a nurse’s evaluation and triage period followed by a transmission note to the physician. The new process decreased the average stock of nurse’s team over-time from 65.5 to 46.8 hours (-29%), and the nurse’s absenteeism from 4.6 % to 1.97 % (-57%).
Conclusion: By cautious and collaborative proceeding, and the choice of an earnest issue by front nurses, we levelled the nurse’s workload and pleased patients and professional teams.
Democracy and the Challenge of Climate Change
Authors: Lindvall Daniel
Published: October 2021

Climate change actions in democracies face perceived challenges such as short-term bias in decision-making, policy capture or inconsistency, weak accountability mechanisms and the permeability of the policy-making process to interests adverse to fighting climate change through the role of money in politics. Apart from its intrinsic value to citizens, democracy also brings critical advantages in formulating effective climate policy, such as representative parliaments which can hold governments to account, widespread civic participation, independent media and a free flow of information, the active engagement by civil society organizations in policymaking and the capacity for institutional learning in the face of complex issues with long-term and global social and political implications. International IDEA’s work on change and democracy aims to support democratic institutions to successfully confront the climate crisis by leveraging their advantages and overcoming the challenges to formulating effective and democratically owned climate policy agendas.
Türkiye’de petrol fiyatlarından ve döviz kurundan enflasyona geçişkenlik: Zamana göre değişen parametreli bir analiz
Authors: CEYLAN Fatih , KAHYAOĞLU Hakan
Published: October 2021

Bu çalışmada Türkiye’de petrol fiyatları ve döviz kurunun üretici ve tüketici fiyatlarına geçişkenlik etkisi, döviz kurunun geçişkenlik etkisine vurgu yapılarak incelenmiştir. Bu amaçla zamana göre değişen parametreli vektör otoregresif (TVP-VAR) yöntemi ile Ocak 1985 – Aralık 2018 dönemleri arasında aylık veriler kullanılarak geçişkenlik parametreleri tahmin edilmiştir. Elde edilen bulgular petrol fiyatları ve döviz kurunun üretici ve tüketici fiyatlarına geçişkenliğinin doğrusal olmayıp zamana göre değiştiğini göstermektedir. Türkiye’de geçişkenlik etkisi geçmiş yıllara kıyasla azalmakla birlikte makro ihtiyati politikalar altında son dönemde tekrar artma eğilimi göstermektedir. Bu sonuç Türkiye’de enflasyon dinamiklerinin dışsal faktörlere oldukça duyarlı olduğunu ve enflasyonun yapısal bir sorun olarak hala sürdüğüne işaret etmektedir. Ayrıca hem petrol fiyatlarından hem de döviz kurundan üretici fiyatlarına geçişkenlik etkisi tüketici fiyatlarına geçişkenlik etkisinden daha yüksektir.
Peningkatan Kemampuan Pustakawan dan Pemuda Kampung Sialang Sakti Melalui Pelatihan Pengolahan Limbah
Authors: Hakim Triono Dul , Syahdan Syahdan , Putri Azlin Atika
Published: October 2021

This service activity aims to provide training on the use of economic value waste to librarians and youth of Siak Sakti village, Siak. This is a continuation of the previous program that has been running, namely screen printing training to provide an alternative source of income for the youth of Sialang Sakti village who have several limitations so that they cannot continue their education to college due to economic factors. Therefore, it is necessary to make efforts to maximize the potential of the area, for example the village library. Sialang Sakti Village already has a Bina Ilmu village library which has been trusted as an inclusive library so that it has the opportunity to empower the community around the village. The target of this activity is to provide skills for librarians to process waste to add to the aesthetics of the library space and advanced screen printing training to the youth of Sialang Sakti village. The output produced is that librarians are able to process various wastes to improve the aesthetic appearance of the library space and the skills of youth to create a creative economy that is being developed by the Government of the Republic of Indonesia. This activity is a collaboration between a team of service lecturers who have expertise in the use of waste-based learning media and experts in screen printing.
PENGARUH PERLAKUAN SUHU DAN BEBERAPA GENOTIPE TERHADAP VIABILITAS DAN VIGOR BENIH KUBIS BUNGA (BRASSICA OLERACEA VAR. BOTRYTIS L.) PADA DATARAN RENDAH
Authors: Maulana Lestari , Azizah Elia , Rianti Winda , Sugiarto Sugiarto
Published: October 2021

The aim of this study was to obtain the best temperature on several genotypes so as to increase the best viability and vigour of cauliflower seeds in the lowlands. The research was conducted at the Laboratory Agronomy, OPT and Soil Biotechnology Faculty of Agriculture, Singaperbangsa Karawang University. The research method used was an experimental method with a two-factor completely randomized design (CRD). The first factor is temperature which consists of room temperature without air conditioning (P0), air-conditioned room temperature (P1) and refrigerator temperature (P2). The second factor is genotypes consisting of Viola (B1), Tegar 45 (B2), Snow Waltz (B3), Jayanti (B4), Giga (B5), Snow White (B6), Diamond (B7), Orient (B8). , Roo So 45 (B9), Forum (B10), Bima (B11), F1 Hybrid (B12) and Arjuna (B13). Each treatment was repeated 2 times so that 78 experiments were obtained and 2 times planting (before and after storage). The results of the pre-storage experiment showed that there was no interaction between temperature treatment and several genotypes, but in the post-storage experiment, there were an interaction with the parameters of germination, concurrency of growth, vigor index and maximum growth potential, while for parameters of moisture content, normal germinated dry weight and length of sprouts. indicates there is no interaction. The best treatment was room temperature without AC genotype Roo So 45 (P0B9).

Keywords: Cabbage flower, genotype, temperature, , viability, vigour.
Path Dependence Repetition Dinamika Perkembangan Partai Proto Islam Indonesia, Sarekat Islam (1911-1940)
Authors: Riyanto Agus
Published: October 2021

This article aims to describe the trajectory of the development of Sarekat Islam (SI) in the pre-independence era by using path dependence analysis and critical junctures. In this context, important political decisions made by the proto-Islamic party agents will identify various alternatives determined by their antecedent conditions, as well as a series of follow-up causal events after critical junctures as path dependence patterns that lead to an outcome or outcome of the development of the SI organization. explained that there were three stages of the development of the Sarekat Islam organization, which transformed into the Sarekat Islam Party (PSI) and the Indonesian Sarekat Islam Party (PSII) which were produced by three agent decisions in moments of critical juntures, namely the stages of growth, division and decline.

Key word : Critical junctures, Path dependence, the proto- Islamic party
Evaluasi Komunikasi: Studi Kasus Pelaksanaan Program Pemberdayaan Masyarakat Penggiat Anti Narkoba Oleh BNN Jakarta Timur
Authors: Roennfeld Sylvia , Bernadette Sophia
Published: October 2021

The problem of drug abuse and trafficking is increasingly becoming a problem for every country worldwide, including Indonesia. DKI Jakarta, as the state capital, ranks third nationally in narcotics abuse, with a trial use prevalence rate reaching 4.9%. In this study, researchers will focus on evaluating communication programs carried out through technical guidance carried out by BNN for anti-drug activists in the educational environment. We utilized the four stages of program planning by Cutlip, Center and Broom, to get a picture of the situation, program planning and form of communication, which will elaborate further on aspects of communication evaluation based on the Yardstick evaluation model..

Keywords: BNN, Community Empowerment, Drugs, Public Relations, Yardstick Evaluation
Cover Sosio Dialektika Vol 6, No 1 (2021)
Authors: Dialektika Sosio
Published: October 2021

Cover Sosio Dialektika Vol 6, No 1 (2021)
Daftar Isi Sosiodialektika Vol. 6, No. 1, Januari - Juni 2021
Authors: Isi Daftar
Published: October 2021

Daftar Isi Sosiodialektika Vol. 6, No. 1, Januari - Juni 2021
Information privacy: protecting freedom and individual autonomy
Authors: Chesnokova Lesya
Published: October 2021

The article examines the individual’s right to information privacy as an opportunity to have a non-public area of life. It is argued that a person, being a vulnerable creature, feels the need for secrecy, closeness and opacity of his or her personality. The right to information privacy does not mean complete concealment of private life, but the possibility of regulating access, when individuals can choose whom, when and to what extent to reveal the details of their lives. This presupposes both a person who feels him or herself to be an autonomous person and a society that respects his or her rights and freedoms. There is a duty of restraint and tact, which prohibits violating someone else’s privacy. As one of the aspects of privacy, in addition to the inviolability of the body and home, the human right to information protection is recognized. The theoretical foundation of the right to privacy is the philosophy of liberalism, which protects the individual from unwanted interference from the state and society. The need for private space has evolved in human history along with the growth of individualism. Currently, the right to information privacy is gaining special relevance in connection with the development of digital technologies that allow collecting, storing and processing large amounts of data. As a result, a person, on the one hand, does not know who, when and for what purpose collects his or her data, and, on the other hand, he or she often voluntarily, in connection with the need for social recognition, leaves information about him or herself on social networks. As a result of such actions, the loss of control over personal information can lead to undesirable consequences.
Digital footprints in the university space
Authors: Khusyainov Timur
Published: October 2021

This work considers the use of digital traces in the educational environment and the specifics of their collection and analysis at the university. One way or another, all participants in the educational process, as well as those who can potentially become them, for example, applicants, leave digital traces in the digital environments of the university and the Global Network in general, and these traces can be analyzed. At the same time, even the university itself as an organization leaves a certain digital footprint on the Internet. At the moment, most researchers are very optimistic, contemplating on what positive changes can be brought by the analysis of digital traces of applicants, students and teachers for the development of the university itself, the educa-tional process, and the formation of individual learning paths.
In contrast to this, the author identifies a number of possible prospects for the analysis of Big Data and the use of Artificial Intelligence for education at the university of the future. Attention is focused on how this can affect the safety of the environment and conflict with ethical standards. Participants in the educational process, falling under the analysis of their digital traces, can both suffer because of them, even if their activities have not been in any way connected with the university, and begin to hide their true digital identity, creating «false» digital traces and becoming anon-ymous. The author assumes that an increase in such control covering actions, thoughts and emotions naturally results in the emergence of the concept of a «Dark» University, which distances itself as much as possible from such methods of analyzing personal data.
Reference Model as Support for the Implementation of Agriculture 4.0
Authors: Iaksch Jaqueline , Camatti Juliane , Borsato Milton , Infantini Maurício
Published: October 2021

Agriculture is facing increasing challenges due to several factors such as population growth, climate change, and variation of prices practiced by the market. It has been looking for ways to improve profitability and agricultural efficiency through better management control based on information and knowledge generated on the farm in its specific context. Innovative technologies and solutions have been applied as an alternative for the collection and processing of this information with the fourth industrial revolution, which is generated by systems, equipment, markets, and agents involved in agricultural production. Transforming this data collected in the field into valuable data that supports better decision-making is essential. Through a literature review, it was established that the artifact to be developed in this project corresponds to an information model over an agricultural scenario. Following the Design Science Research (DSR) methodology, to reach this objective will be necessary to develop three artifacts. In this article, the first artifact is presented: a model that provides a systemic view and characterizes Agriculture 4.0.
Cause-Effect Modelling of the Risk Analysis in Objects Development: An Application to Civil Structures
Authors: Velásquez-Restrepo Luis-Emilio , Urrego-Giraldo Olga Eugenia , Urrego-Giraldo Germán
Published: October 2021

Cause-effect modelling, product-based analysis, and linguistic-based knowledge representation are concepts widely used in different engineering branches and offer ample ways for transdisciplinary engineering developments. An engineering solution consists of a tangible or intangible object able to satisfy specific requirements. The development of engineering projects faces many unknown, unpreventable, or uncontrollable phenomena. Risk analysis becomes an important item for project management. The identification of risks in the development of a solution is in general discretional, using particular models adapted to each specific project. On the contrary, we aim to a general and comprehensive risks analysis model, which is a non-common approach, based on products or results, for the identification of functionalities and defect causes of an object in a generic way. This article presents, in a product-based orientation, the definition of generic functionalities and generic causes categories of damage of an object. These main causes categories head the cause-effect model and constitute the set of adopted risk categories, which integrate the risk analysis model applicable to the development of tangible or intangible engineering solutions. The ex-post risks analysis of the collapse of a pre-stressed stayed bridge tower illustrates the use of the proposed risk analysis model.
Method for Performance Analysis of Production Lines Based on Digital Models Powered by Real-Time Data
Authors: Krüger Suewellyn , Werlich Samuel Henrique , Borsato Milton
Published: October 2021

The intention to improve the performance of the processes involved is considered one of the main guidelines for companies’ competitive advantage. Technological advances help to improve yields, operations, decision making and cost reduction when adopted in their daily processes, and assembly lines are constantly monitored, but the detection of adversities is still considered complex. Because of this difficulty, the proposal for a virtual model with greater fidelity to reality, such as the digital twin model, is promising. A virtual model of the shop floor system composed of physical characteristics present in the industrial environment, being fed with data that occurs in real-time, offers the simulation possible predictions of setbacks with greater fidelity. This monitoring provides the user with an improvement in the process control, assisting in the planning of operations, enabling changes in the virtual model of compliance verification, improving performance and productivity, reducing related times and costs for later application in the physical model. In this way, the objective of this work proposes the elaboration of an application method where it is possible to analyze the performance of productive lines through digital models integrated with the data feed system in real-time.
Virtual Tours to Promote the Remote Customer Experience
Authors: Cavallaro Sara , Grandi Fabio , Peruzzini Margherita , De Canio Francesca
Published: October 2021

Today, virtual reality and augmented reality can allow people to interact with products and places in a very realistic way. In this direction, the use of immersive virtual tours (VTs) can improve the users’ experience, their perceptions, attitudes and even intended behaviours as potential or actual consumers. The paper focuses on a traditional Italian cheese product and defines a transdisciplinary, multimodal approach where VT helps the remote customer experience based on a VT application to virtually visit a Parmigiano Reggiano cheese dairy, using cutting-edge virtual reality set-up. The paper describes how to create a virtual tour of industrial plants by mapping the main actions, from the storytelling definition, to the plant digitization, until the creation of the virtual, immersive and multimodal application using Unity3D. The VT combines visual experience with gesture recognition and audio stimulation, adding also olfactory cues, in order to create an interactive and realistic experience.
How Artificial Intelligence May Impact Your Job
Authors: Virgilio Gianluca P.M. , Paz López Manuel Ernesto
Published: October 2021

Recent developments of Artificial Intelligence, Machine Learning and Big Data technologies are posing a threat to white-collar workers and managers alike. Whereas until a few years ago only manual jobs were at risk of replacement, nowadays there is no guarantee that intellectual jobs will remain in human’s hands for long. Hopes that new technologies will generate more new jobs than those lost are vanishing. The new challenge faced by human workers is made up of entities that display more intelligence, whether real or just simulated, than them. We, as humans, need to invent new strategies to survive in a job market that seems ready, in one or two generations, to get rid of us. This paper identifies the main issues around intelligence and provides hints about what intelligence imitation/simulation cannot do that human intelligence can. It also discusses aspects of creativity, allegedly a human-only skill that looks like the most promising area in which human development may progress, reducing risk of silicon replacement.
Edge Analytics for Bearing Fault Diagnosis Based on Convolution Neural Network
Authors: Perminov Valentin , Ermakov Vladislav , Korzun Dmitry
Published: October 2021

Advanced technologies of Sensorics and Internet of Things (IoT) enable real-time data analytics based on multiple sensors covering the target industrial production system and its manufacturing processes. The rolling bearings fault diagnosis is one of the most urgent problems and can be solved by using convolution neural networks and edge artificial intelligence (edge AI) devices. The limitations of the hardware platform must be taken into account to achieve maximum performance. In this paper, we analyze efficient CNN architecture for bearings fault diagnosis that is able to process data in real-time on edge AI devices. We observe that the accuracy of the proposed CNN is unsatisfactory for practical use, and better accuracy is possible with increasing the number of bearings in the training dataset.
Personalized Information Recommendation for Chinese Paper Cutting Culture Heritage
Authors: Huang Weibo , Xie Bairu , Liao Xiaoyue
Published: October 2021

Globalization and information technology are developing rapidly. Chaozhou Chinese paper cutting exists physically. Chaozhou Chinese paper cutting is facing the difficulties of preservation and dissemination. The purpose of this study is to further realize the preservation and personalized recommended dissemination of intangible cultural heritage represented by Chaozhou Chinese paper cutting. In this paper, information technologies such as knowledge graphs, multimedia applications, Bi-RNN neural networks, and probabilistic decomposition models are used. This paper delves into the visual communication and personalized recommendation of intangible culture to preserve, pass on, and spread it better.
Support Vector Machine Technique as Classifier of Impaired Body Fat Percentage
Authors: La Cruz Alexandra , Severeyn Erika , Huerta Mónica , Wong Sara
Published: October 2021

Excess weight and obesity are indicators of an unhealthy or harmful accumulation of fat that can be dangerous to health. Body mass index (BMI) refers to height-to-weight radio and is often used to identify overweight and obesity in adults. Although BMI is commonly used to diagnose obesity and overweight, it is ineffective in differentiating between high muscle mass and elevated body fat mass. Body fat percentage (BF%) is one of the best predictors of obesity because it quantifies adipose tissue. The Deurenberg equation is among the indirect methods to measure BF%; it uses BMI, age, and sex as parameters to calculate the BF%. Machine learning techniques demonstrated to be a good classifier of overweight, obesity, and diseases related to insulin resistance and metabolic syndrome. This study intends to evaluate anthropometric parameters as classifiers of BF% alteration using support vector machines and the Deurenberg equation for BF% estimation. The database used consisted of 1978 individuals with 24 different anthropometric measurements. The results suggest the SVM as a suitable technique for classifying individuals with normal and abnormal BF% values. Accuracy, F1 score, PPV, NPV, and sensitivity were above 0.8. Besides, the specificity value is below 0.7, which indicates that false positives may occur. As future work, this research intends to apply neural networks as a classification technique.
Uncertainty Measure of Pythagorean Fuzzy Sets
Authors: Gao Xiaozhuan , Pan Lipeng , Deng Yong
Published: October 2021

Pythagorean fuzzy sets (PFS) can better express and handle the uncertainty information and has the more lager representation space. Hence, the reasonable and effective method to measure the uncertainty of PFS can better analyze information. From the view of Dempster-Shafer evidence theory, hesitancy degree can include the two focal elements (member-ship, non-membership). Hence, considering the number of focal elements for hesitancy degree to measure uncertainty is important. In addition, the difference between membership and non-membership degree plays an essential role in uncertainty measure. From the above views, the paper proposed the new uncertainty measure. Based on the new uncertainty measure, cross entropy and divergence of PFS can be presented. In addition, some numerical examples are used to explain the proposed methods by comparing other methods. Finally, the proposed divergence can be used in pattern recognition to verify its effectiveness.
Semantic Repeatability Screening Mechanism of Intelligent Learning Platform Based on Bi-LSTM
Authors: Liu Jianghui , Xie Bairu , Shi Yuqing
Published: October 2021

To solve the excessive utilization of back-end data caused by the sharp increase in the visit and consultation on the intelligent learning platform in the era of novel coronavirus epidemic, this study proposed to introduce Co-attention mechanism (Co-attention) into the Bidirectional Long Short Term Memory model (Bi-LSTM). The study employed Multi-layer Perception Network (MLP) for classification and screening to accurately judge the semantic repeatability. Lastly the study carried out contrast experiments for different models, using 1150 consultation posts about transposed determinant, using Newton’s Leibniz formula to calculate definite integral, using Laplace’s theorem to calculate determinant, how to do model analysis of STATA panel data, under what circumstances is the weighted least square method applicable, how to realize the Pareto optimality and finding the area of trapezoid with curve side from MOOC platform of Chinese universities. Results show that this model performs better than other existing models on the judgment accuracy and its accuracy is up to 89.42%.
Performance Evaluation of Radar Range-Bearing Centroid Processing Using Time Series Analysis
Authors: Van Loi Nguyen , Quoc Tuan Tran , Trung Kien Tran , Van Truong Tran , Vu Hop Tran
Published: October 2021

The paper deals with a problem of performance evaluation of the range-bearing centroid processing for a surveillance radar. First, we review several techniques for centroid processing that are Moving window estimator, Beam shape centroid estimator, Center of mass correlation and Recursive least-squares centroid estimator. Then we point out that the range root-mean-square error (RMSE) and bearing RMSE are not sufficient for performance evaluation of the range-bearing centroid processing. Further, a new parameter using time series analysis for evaluation of structural stability of the centroid processing is proposed. As an illustration, a test with data from an X-band coastal surveillance radar is given.
Feature Back-Tracking with Sparse Deep Belief Networks
Authors: Qiao Chen , Li Jiajia , Zhang Xuewu , Zhang Cheng , Jing Wenfeng , Yang Danglin
Published: October 2021

To find a way of the interpretability of deep learning, in this paper, a features back-tracking (FBT) approach based on a sparse deep learning architecture is proposed. Firstly, for a deep belief network (DBN), both the Kullback-Leibler divergence of the hidden neurons and the L1 norm penalty on the connection weights are introduced. Thus, the sparse response mechanism as well as the sparse connection of the brain neurons can be simulated directly. That means the DBN can learn a sparse framework and an effective sparse data representation. On this basis, the feature back-tracking technique is put forward. For both the single nucleotide polymorphisms (SNPs) data and MNIST data, FBT has quite well performance on searching for the risk loci on the genes as well as the important sites of the digit data. It reveals that the proposed FBT method can pick out the essential features by deep learning architecture with quite high classification accuracy and data storage ability. Utilizing the sparse layer-wise feature learning to achieve key features from the original data, is an effective attempt to explore the profound mechanism of human brain and interpretability of deep learning.
Cultural Genocide. An Open Debate
Authors: Motta Giuseppe
Published: October 2021

This short article describes the historical discussions regarding the definition of cultural genocide and the failed attempts to introduce it as a distinct crime under international law. Though the protection of cultural heritage has been included in several international regulations and it is now under the jurisdiction of many institutions, the lack of a specific identification of cultural genocide as a crime against humanity represents a subject of interest for international jurists. The relevance of such an accomplishment is today discussed as possible solution to the widespread necessity to prevent all threat posed to cultural heritage.
TO EVALUATE THE FUNCTIONAL OUTCOME OF METACARPAL FRACTURES TREATED BY DIFFERENT TECHNIQUES
Authors: Kumar Amit , Badyal Vinay , Gupta Sanjeev
Published: October 2021

Background: Metacarpals fractures are most common. Management varies from conservative to operative techniques.

Aim: To evaluate the functional outcome of metacarpal fractures treated by different techniques.

Patients and Methods: a total of 65 fractures in 50 patients managed by various modalities (conservative as well as operative). Functional outcome was assessed by using TAM and DASH scoring system at 6th week, 3rd month and at 6th month.

Results: 62 fractures united and three fractures mal-united at the time of final assessment. Overall excellent and good results were achieved in 90% cases (45 out of 50 cases).

Conclusion:  Operative technique is better option in case of unstable fracture and conservative technique is better in case of stable fractures. Finally we concluded that the detailed clinical and radiological assessment of fracture and choosing the correct method of treatment are critical in achieving good results.

Keywords: Metacarpal bones, total active movement (TAM), disability of arm, shoulder and hand score (DASH).
Some Clinical Features and Supportive Therapies in Covid-19 Patients Died in Hajar Hospital, Tehran, Iran
Authors:   Department of Anesthesiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran., Maleki Hamed , Tabatabaie Fatemeh ,   Department of Parasitology and Mycology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran., Bagherinik Mosayeb ,   Department of Crisis Management, Iran University of Medical Sciences, Tehran, Iran., Azizmohamadi Sosan ,   Department of Obstetrics and Gynecology, School of Medicine, AJA University of Medical Sciences, Tehran, Iran., Laka Sheila ,   Department of Health, School of Public Health, Iran University of Medical Sciences, Tehran, Iran., Mohajeri Iravani Mojgan ,   Department of Anesthesiology and Intensive Care, School of Medicine, AJA University of Medical Sciences, Tehran, Iran.
Published: October 2021

Objective: Due to the spread of Coronavirus Disease 2019 (COVID-19) worldwide and the resulting mortality as well as the lack of definitive treatment for this disease, various non-invasive and invasive drugs and treatments have been used around the world for reducing the effects of this disease or accelerating the treatment process, but the positive and definite effect of none of these methods has been confirmed and they have been effective only in some cases. This study aims to investigate some clinical features and supportive therapies in deceased COVID-19 patients in Iran. Methods: This descriptive-analytical retrospective study was conducted on 100 Covid-19 patients died in Hajar Hospital in Tehran, Iran from February to September 2020. They were divided into two groups of with and without underlying diseases. After coordination and obtaining the necessary permission and informed consent, information was collected from the medical files of samples. Results: Mechanical ventilation, vasoconstrictor injection and blood products had been used as supportive therapies in deceased patients, where ventilation use (n=62, 62%) was significantly higher (P=0.01) compared to vasoconstrictor injection (n=28, 28%) and blood products (n=13, 13%). Most of deceased patients had an underlying diseases (79%). Hypertension, diabetes and heart problems were the most common underlying diseases. The disease severity, clinical manifestations, and mortality rate of deceased patients with cardiovascular diseases, diabetes and hypertension were significantly different compared to those with other underlying diseases (P= 0.01). The age and gender of deceased patients had no significant relationship with the use of any supportive therapies (P≥0.01), but had a significant relationship with the underlying diseases (P≤0.01). Conclusion: The treatment methods that are the definite needs of the patient and have more favorable effects on the recovery process have a high value in the treatment of COVID-19 patients. These patients need to use supportive therapies for purposeful and effective treatment. Mechanical ventilation is more important than injecting vasoconstrictors or using blood products.
Comparing the Effects of Rose Essential Oil and Benson Relaxation Technique on Preoperative Anxiety and Hemodynamic Status and Postoperative Complications in Rhinoplasty Candidates
Authors:   Department of Operating Room, Medical Student Research Committee, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran., Shirzad Maliheh , Nasiri Ebrahim ,   Department of Anesthesiology, Operating Room, Traditional and Complementary Medicine Research Center, School of Allied Medical Sciences, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran., Hesamirostami Mohammad Hossein ,   Department of Plastic and Reconstructive Surgery, Mazandaran University of Medical Sciences, Sari, Iran., Akbari Hooshang ,   Department of Anesthesiology and Operation Room, Faculty of Allied Medical Sciences, Mazandaran University of Medical Sciences, Sari, Iran.
Published: October 2021

Objective: Rhinoplasty is a stressful and challenging procedure for plastic surgeries. Researchers are looking for appropriate methods of traditional and complementary medicine to control anxiety before rhinoplasty. This study aims to compare the effects of Benson Relaxation Technique (BRT) and Rose essential oil on preoperative anxiety and hemodynamics and postoperative complications in rhinoplasty candidates. Methods: In this randomized intervention study, participants were 68 candidates for rhinoplasty referred to Zare Hospital in Sari, Iran who were randomly divided into BRT (n=34) and aromatherapy (n=34) groups. Anxiety was assessed before and after the intervention by Spielberger’s State-Trait Anxiety Inventory. Hemodynamic status, intraoperative bleeding, nausea and vomiting were assessed 24 hours after surgery. Results: The two groups were homogenous in terms of demographic characteristics. The level of overt anxiety decreased by 27.5% in the aromatherapy group and by 20.4% in the BRT group. The level of covert anxiety decreased by 27.2% in the aromatherapy group and by 20.8% in the BRT group. Systolic and diastolic blood pressure levels decreased more in the aromatherapy group than in the BRT group. There was a significant difference in the number of pulses between the two groups after the intervention (P= 0.038). The mean amount of intraoperative bleeding was 18.6±2.4 mL in the BRT group and 18.2±3.8 mL in the aromatherapy group (P= 0.626). Nausea, vomiting and surgeon satisfaction levels during the surgery were similar in the two groups Conclusion: Rose essential oil and BRT are recommended for patients before rhinoplasty due to reducing their preoperative anxiety and stabilizing their hemodynamic status.
A Snapshot of Haryana's Dynamics in The Mughal Period
Authors: Rani Mamta , Khan Altaf
Published: October 2021

Haryana has been a focus of attention throughout history, including the ancient, medieval, and modern periods. Because of its location in the north, it remained strategically important. During the Sultanate and Mughal periods, the Haryana district was extremely important in terms of trade and resistance. In ancient times, the Mahabharata was fought at Kurukshetra, and three skirmishes at Panipat, which completely transformed India's fortunes, were fought in Haryana. This study intends to contribute to the socioeconomic and unique situations of the Haryana region during the Mughal period in an objective and scientific manner (1707-1857). This period of Mughal history was chosen for research because it was a time of great change, replete with perplexity, curiosity, and upheaval. This time, the sunset represented the rise and collapse of the Sikhs', Marathas', and Jats' powers, as well as the rise and power of the theory British. It is concerning that the region's historical realities, socioeconomic, and religious problems are not fully recognized, despite attempts in both cases. This revelation was necessary in order to showcase a larger network of regional opportunities and to portray the genuine image of the time. The analysis attempts to close this gap in this way. It will also respond to the ever-changing demand, as well as the necessity to rewrite and recompose the regional history in light of the wide range of expertise and education now accessible.
RESTRUCTURING THEORETICAL FRAMEWORK OF URBAN SUSTAINABILITY FROM THE HEALTH DIMENSION
Authors: Хунює Ван , Коблянська Інна
Published: October 2021

The environmental crisis caused by rapid global urbanization has led to many public health problems, which has gradually become the new normal in the process of achieving sustainable urban development. This study aims to reveal the relationships between health, environment, and urban sustainability from a multidisciplinary perspective. Based on the existing research dimensions of urban sustainable development, the necessity, rationality, and feasibility of introducing the health dimension are proposed, and the research framework of health and urban sustainability is integrated and reconstructed. It is pointed out that scholars and policy makers should take the urban environment as the platform, take the duality of health and sustainability as the starting point, reconstruct the research framework of urban sustainability based on the health dimension, and provide a new theoretical perspective for the realization of urban sustainable development under the new normal.
ФОРМУВАННЯ МАРКЕТИНГОВОЇ ПОЛІТИКИ ПІДПРИЄМСТВА ЯК ОСНОВА ВДОСКОНАЛЕННЯ СИСТЕМИ ЗБУТУ
Authors: Гуріна Наталія , Бестюк Анастасія
Published: October 2021

У статті розглянуто важливість системи збуту в умовах перенасиченості ринку. Визначено основні завдання збутової діяльності. Описано збутовий процес в господарській діяльності підприємства. Досліджено фактори впливу на збутову стратегію. Проаналізовано етапи формування маркетингової збутової політики. Досліджено методи для співпраці між посередниками в процесі збутової діяльності. Описано важливість засобів стимулювання збуту. Визначено цільові групи та види стимулювання. Визначено стратегічні заходи, спрямовані на оптимізацію витрат на управління збутом. Обґрунтовано важливість пошуку оптимального рівня обслуговування. Розглянуто обґрунтування всіх витрат, що пов’язані із дослідженням ринку, рекламою та стимулюванням збуту з метою забезпечення високого конкурентного статусу підприємства. Надано рекомендації для стимулювання збуту.
УПРАВЛІННЯ КАПІТАЛОМ КОМЕРЦІЙНОГО БАНКУ
Authors: Дроботя Яна , Телятник М.Ю.
Published: October 2021

У статті досліджено питання сутності управління капіталом банку, зокрема в розрізі стратегічного та операційного рівня. Визначено основні завдання менеджменту капіталу банку, зокрема: оцінка достатності капіталу, його оптимізація та планування напрямків використання капіталу в межах активних операцій, оцінка існуючих ризиків, що здійснюють вплив на формування і використання капіталу банку, тестування стійкості щодо зовнішніх та внутрішніх факторів ризиків, формування системи управління капіталом банку на стратегічному та операційному рівні. Узагальнено етапи управління капіталом банку на стратегічному рівні, зокрема: формулювання мети та цілей управління капіталом, аналіз та оцінка поставленої мети і цілей на базі прогнозу фінансового стану банку, аналіз можливих ризиків для банківської установи, формулювання і реалізація стратегії, контроль за реалізацією процесу управління капіталом банку. Проаналізовано ефективність управління капіталом АТ «Полтава-банк». Визначено основні складові операційного управління капіталом банку.
E-scooter’s Availability and Social Equity in Minneapolis, MN: A Spatial Modeling Approach
Authors: Tokey Ahmad Ilderim
Published: October 2021

This article examines the social equity of e-scooter availability across different socially disadvantaged groups in Minneapolis, MN (USA). The city’s northwestern part with high poverty rates has a higher e-scooter availability rate than its counterparts. Also, this study did not find any significant inequality involved with race or educational attainment. However, while the city performed well on these, areas with a high percentage of commuters, dependent on transit, bike, and walking, have fewer e-scooters available on their streets. As such an area, the local models of this study underscore the need for more e-scooter deployment in areas close to downtown.
Reactions to University Campus Commute Mode Shifts During COVID-19
Authors: Schneider Robert J. , Schinkowsky Hayley
Published: October 2021

This study summarizes University of Wisconsin-Milwaukee (UWM) campus commute mode shifts during COVID-19. The greatest shifts were to telecommuting and away from public transit. These shifts were uneven across the campus population: respondents with lower incomes and lower automobile access were less likely to shift to telecommuting. Open-ended responses provide insights into commuters’ reactions to their mode shifts: most new telecommuters enjoyed not having to travel to work, and concern about COVID-19 transmission was only one of several factors pushing commuters away from public transit.
Dinamika Psikologis Pasangan Suami Istri yang Belum Memiliki Anak
Authors: Pasmawati Hermi
Published: October 2021

Children are a gift and at the same time trust from Allah SWT. After marriage one of the things that awaited by the couple is the presence of a baby in the middle of the family, but not a few phenomena in the field of couples who have not been blessed with children, this condition causes feelings of anxiety, because of the demands of the couple or family of the couple and comparison with other couples who have have children, this condition certainly provides its own psychological effects for couples. Based on this phenomenon, there are two problems examined in this paper, namely; 1) What is the psychological dynamics of a married couple who do not have children, 2). How are the efforts made by married couples in overcoming psychological problems. This type of research used in this research is descriptive qualitative with a case study approach. There were ten informants in the study, consisting of six husband and wife couples who did not have children and four supporting informants. The results found that (1) psychological dynamics that occur in married couples who do not have children in East Kikim sub-district, viewed from the emotional aspects of changing at the beginning of marriage, husband and wife do not feel there is a burden, but with increasing age of marriage and not yet blessed with children, making them feel anxious and worried, even because they have been married for decades and still do not have children, so they surrender. Seen from the aspect of adjustment, there are several couples in interacting with the family environment, neighbors or the community does not experience difficulties, but there are also those who experience difficulties in adjusting. Viewed from the aspect of motivation there are some couples who get support and advice from family and neighbors, but there are also those who only support each other between the husband and wife. positive activities such as religious activities, convince yourself that this condition can certainly be bypassed and then do activities that you like, while also doing medical or herbal treatment