bluuebunny/crossref_metadata_2025 huggingface dataset:
Real Time Mobile Cloud Audio Reading System for Blind Persons
Authors: Mohammed Mohammed Ali , Hussein Dr. Karim Q. , Al-Hassani Dr. Mustafa Dhiaa
Published: January 2022

According to the World Health Organization there are approximately 285 million blind people around the world. These people are faced challenges when reading a book. This paper aims to design and implementation new real time mobile cloud audio reading system for blind persons. The proposed methodology consists of following steps: In Client Side, firstly, capture image of text by camera. Secondly, check the page localization. Thirdly, send image to server. In Cloud Side (Server Side), firstly, apply the modify EAST algorithm on received image to text detection. Secondly, apply OCR algorithm to extract text from image. Thirdly, apply post-processing step to correct the in corrected text. Finally, return text to client side to speak it using text-to-speech algorithm.
A Comprehensive Review on Data Anonymization Techniques for Social Networks
Authors: K. Sivasankari Krishnakumar , K.M. Dr. Uma Maheswari
Published: January 2022

Many individuals all around the world have been using social media to communicate information. Numerous companies utilize social data mining to deduce many fascinating facts from social data modeled as a complicated network structure. However, releasing social data has a direct and indirect impact on the privacy of many of its users. Recently, several anonymization techniques have been created to safeguard Personal information about users and their relationships in social media. This study presents a comprehensive survey on various data anonymization strategies for social network data and analysis their advantages and disadvantages. It also addresses the major research concerns surrounding the efficiency of anonymization approaches.
Word Sense Disambiguation for Lexicon-based Sentiment Analysis in Hindi
Authors: Kulkarni Dhanashree. S. , Rodd Dr. Sunil. F.
Published: January 2022

The amount of data from users in Hindi language is tremendously increasing on social media, blogs, online forums due to which Sentiment analysis of Indian languages has turned out to be a predominant research area. Lexicon based analysis is one of the techniques that can be used for analyzing sentiments. While using the lexicon-based sentiment analysis, ambiguous words could be an issue. This paper proposes a graph based Lesk approach to handle the word sense disambiguation issue and tries to enhance and improve the lexicon approach. Experiments performed to evaluate the performance of the proposed algorithm shows that the performance of lexicon-based sentiment analysis is increased significantly by using the graph based Lesk approach.
A Comprehensive Survey on Face Detection Techniques
Authors: Razzaq Ali Nadhim , Ghazali Rozaida , El Abbadi Nidhal Khdhair , Dosh Mohammad
Published: January 2022

The need for automatic understanding and examination of data increased with the tremendous growth of video and imaging databases. The change of identity, feelings and attitudes of a person's face always play a key role in terms of social communication. It is difficult for human beings to distinguish and identify various faces. Hence, we can say that in face recognition, the automatic computer-aided face detection system plays an important role. It also plays a significant role in determining the facial expressions and their recognition, estimation of head pose and interaction of humans and computers, etc. The size and location of the human face in a digital image are determined by face detection. For face detection in digital images, this paper brings forward a detailed and comprehensive survey of various important techniques. In this paper, different challenges and applications regarding face detection are also discussed. The standard databases for the detection of the face are mentioned along with various other features. Along with this, special discussions are provided regarding highly practical aspects for the robustness of the system for face detection. In the end, there ¬are some highly promising directions for the research and investigation to be conducted in the future.
Proposed Model for Using Block Chain to Secure the University Management System in Online Education
Authors: Saad Abeer M. , Elatawy Safaa M. , Elbelkasy Manal S. , Hawa Doaa M.
Published: January 2022

In light of the Corona pandemic that is sweeping the entire world, and one of its negative effects was forcing the world to social distance between its members in an attempt to limit the spread of this epidemic, and one of the sectors that were directly affected by this epidemic and what led to it of social distancing is the education sector with all its institutions, Where educational institutions of all kinds were forced to resort to the education system through the Internet, it was necessary to think of a way to secure important data and information circulating over the Internet in this new system that educational institutions were forced to implement, and block chain technology is a qualitative revolution in information technology. It is a technology that aims to store and verify the validity of digital transactions on the Internet with a high degree of security. This research paper explains how to take advantage of the block chain technology in the educational process and secure its data so that it is not exposed to hacking, theft or modification, by developing a visualization How to use block chain technology and benefit from it in securing and protecting data in online education, which achieves security and confidentiality and not to modify it, such as securing academic degrees for students and to ensure the attendance of students and to ensure that they are not tampered with.
A Comprehensive Study of Deep Learning Approaches for Lung Nodule Analysis with Recent Computational Techniques
Authors: R. Sudha , K.M. Umamaheswari
Published: January 2022

Lung nodules resemble a spot or coin lesion, which is an abnormal part of the Lung. The size of the nodule is more significant than 3 cm, which may lead to cancer later. Lung cancer is one of the life treating cancers in the world. The American Lung Association says that the five years of survival rate is 18.6% lower when compared to other dominant cancers. But when it is diagnosed earlier, the survival rate can be increased by about 60%. Deep Learning-based Computer-aided Detection (CADe) and Computer-aided Diagnose (CADx) systems help the radiologist detect and classify the nodules as early as possible. This survey focuses on various methods, techniques, and algorithms available for Detecting, Classifying and Reducing the FP on Lung nodules. And also the familiar datasets that are used for processing the images. This work also reviews how the CNN model can be deployed and stored as cloud services.
The Role of Human Resource Governance in Crisis Management Case Study (PEYRISSAC Company)
Authors: Srour Dr. Badia Abed Al Latif
Published: January 2022

The study aimed to show the role of human resource governance in crisis management by examining the relationship between it and crisis management. The study used a questionnaire as a means of collecting information, as the study population consisted of employees from PEYRISSAC Company. The study sample was selected to be total of (200) employees from PEYRISSAC Company on the basis of a random sample. The results of the study showed the following: the presence of a statistically significant relationship in improving the effectiveness of human resources and crisis management, the existence of a statistically significant relationship in the effectiveness of continuous improvement in crisis management, the existence of a statistically significant relationship in improving the organization of work in crisis management and improvement in effectiveness in managing Crises, the existence of a statistically significant relationship to improve effectiveness in crisis management and administrative capabilities. The study contain in set recommendations, including: Governance is an important issue for all organizations, especially in our current era that is prone to financial collapse and economic crises, the need to develop an appropriate structure and distribute administrative tasks to employees, which are the most important pillars in which the organization succeeds, in addition to the need to pay attention to good planning and the participation of workers in developing future strategies, In conclusion, the research was able to shed light on all aspects related to the topic "The Role of Human Resources Governance in Crisis Management". Managing human resources and the means and methods by which crises can be avoided and how to deal with them through the use of some previous studies and benefit from the results of studies and their inclusion in the current study.
Information Sources and their Role in E-learning from Iraqi College Students’ Viewpoint
Authors: Mohammed Dr. Abdulrahman Mahmoud , Al-Saadi Huda Abbas Kanbar , Al-Taai Suaad Hadi Hassan
Published: January 2022

The study aims at identifying the sources of information and explaining their role in e-learning from the viewpoint of the Iraqi college students. The researchers relied on the descriptive method of the survey method to collect data and know the point of view of undergraduate students from the Department of Information in the College of Arts / Tikrit University and the Department of Quranic Studies at the College of Arts / University of Baghdad. The questionnaire was used as an instrument of the study, the research sample is (120) students; each section has (60) male and female students. The study concluded that there are many types and forms of information sources that students receive through electronic educational platforms from text conversations through the electronic classroom and through social networking programs, as well as lectures in various forms, books, research and various studies and methodological studies and links to sites of scientific and electronic libraries. Colleges have to work to hold training courses and educational workshops for students and professors on electronic learning platforms, programs and how to send and receive information and its sources, especially training on the platform approved by the university or college.
Classification and Detection of ECG Arrhythmia and Myocardial Infarction Using Deep Learning: A Review
Authors: Rawi Atiaf Ayal , Albashir Murtada Kalafalla , Ahmed Awadallah Mohammed
Published: January 2022

Recently, DL (Deep Learning) becomes the focus study for researchers in wide and various applications such as; healthcare, where early detection can play an important and vital role in diagnosing abnormal (pathological) conditions through an electrocardiogram (ECG). In the current study, an extensive presentation was given on the modern techniques that have been applied in the ECG device, which have been introduced to classify heart rhythms and identify disturbances in it precisely in the infraction of the myocardial. To enter the method that defines the biological systems of vision, studies have been studied and reviewed that specifically describe the Convolutional Neural Network (CNN). Also, researches and studies related to the subject have been summarized from several aspects, the most important of which are according to the sequence: collecting data and application areas, in addition to planning the form and content of the model and the type of data that is entered, and then evaluating the performance.
Analyzing the Possibility of Applying the Theories of Consumer Behavior, Whichever is Closer to the Market in the Iraqi Economy
Authors: Hussein Alaa Nory
Published: January 2022

This research aims to analyze the theories of consumer behavior and indicate what is closer to the market in the Iraqi economy, as the study of consumer behavior in general helps consumers understand their purchasing and consumer decisions and in identifying the motives and reasons behind these decisions, and this study also helps to understand the factors that affect their thinking In their choice of a certain commodity and a brand over another, the study also explains the reasons for their behavior and its consequences in light of these influences, so that consumers can improve their purchasing decisions and modify their consumer and purchasing behavior.
Problems of Character Creation in Animation Films of Uzbekistan
Authors: Haydarova Nigora Tohirjonovna
Published: January 2022

The article analyzes characters and features of their creation in Uzbek animated films of the times of independence. It also lists the reasons for referring to the characters of the past in modern Uzbek animated films in recent years. And also provided suggestions for creating an image that meets the requirements of the time in today's modern process.
Face Encryption based on Feature Extraction Supported by Canny Edge Detector
Authors: Jamil Abeer Salim , Hassan Nidaa Flaih , Azeez Raghad Abdulaali
Published: January 2022

Individual privacy protection is regarding a subject in surveillance and security areas. Protection of people's faces in image in linking with complex info, abused cases, involvement, and others on public broadcasting media and social networks are very important. Partial encryption human face is selected to reduce the computational requirements for huge volumes of image data and reducing the computational processing time required to conduct the entire image. In this paper, a new fast algorithm is proposed to encrypt partially human face, at first human face is detected using vole and jones algorithm, features points are extracted from face region to be encrypted, these features points are determined by using Canny edge detector since Canny edge algorithm considers the best edge detector with decent localization properties marked edges areas similar to the edges in the actual image as possible, i.e. that it is an essential feature. Furthermore, the importance of the key for the encryption process and its significant role in increasing and improving security, a new method for generating key is proposed making them resistant to attackers. The suggested encryption algorithms produced good results in the encryption process, since it has a shorter encrypting period and a greater encrypting effect, according to experimental results.
Intelligent Image Enhancement System based on Similarity Pixels
Authors: Ibrahim Nuha Jameel , Ali Yossra Hussain , Rashid Tarik Ahmed
Published: January 2022

The main goal of image enhancement is to enhance the fine details present in the images having low luminance for better image quality. In the digital image processing field, the enhancement and removing the noise from the image is a critical issue; image noise removal is the manipulation of the image data to produce a visually high-quality image. The important details and useful information on image decreasing by the noise where the noise treated as information. The filters are used to remove unwanted information. The filters’ objectives are to improve the image quality. This paper proposes an enhancement image system, which chooses the appropriate filter and value of center pixel depends on the number of similarities adjusted neighbors pixels to the center pixel. The performance of this system is evaluated by using different quality metrics, such as Mean square error (MSE), Peak Signal Noise to Ratio (PSNR), Absolute Mean Brightness Error (AMBE), Measure of Enhancement (EME), and Measure of Enhancement by Entropy (EMEE), Entropy, Second-Order Entropy (SOE), and Image Enhancement Metric (IEM). The proposed enhancement system is efficient in removing noises and enhancing the image quality. Experiments are applied to a set of images, such as Lena, butterfly, etc. with different image sizes. The results show that the enhancement quality was performed well in the proposed system with minimal unexpected artifacts as compared to the other techniques, where the results of the proposed system for MSE, PSNR, AMBE, Entropy, SOE, EME, EMEE, and IEM for baboon image with the size 255x 255 are 2.906, 8.875, 3.92, 5.154, 2.692, 3.915, 0.442 and 3.674 in sequence.
Big Data and its Reflection on the Qualitative Characteristics of Accounting Information
Authors: Saad Dr. Selma Mansour , Muter Dr. Khadija Jomaa
Published: January 2022

This research work has analyzed the use of big data and its effect on the qualitative characteristics of Accounting Information. The study showed that big data is the amounts of data of large and huge sizes that are collected, stored, analyzed, transmitted and processed immediately. To measure this effect, the researchers used statistical analysis. A number of questions were set and the samples of the study were asked to expressed their opinions. The three-degree Likert scale was used to measure how the sample members think about the aspects and questions. The results show that big data help accountants to manage their work and relations with their customers. They also show that big data can bridge the gap between information technology, marketing and businesses.
The Role of Monetary Policy Tools on Stability of Iraqi Economy: A Macroeconomic Analysis (2004-2018)
Authors: Ghadeer Yousif Hakim , Khudhair Layla Bdaiwi
Published: January 2022

Monetary coordination and macroeconomic stability are increasingly critical for domestic and fiscal policy in the aftermath of the global financial crisis. This research investigates the impact of monetary policy on financial and economic stability following the COVID-19 pandemic's economic lockdown. This article utilized a V.A.R. (Vector Autoregressive Models) estimator for time series data models. Quarterly statistics are gathered from the first quarter of 2004 to the first quarter of 2018. Using a V.A.R. model, the study investigates the causal connections between monetary policy instruments and economic stability. The findings suggest that Iraq's monetary policy is most efficient at maintaining a target growth rate for the money supply while simultaneously controlling inflation through an equalization cap (1.8 percent). Due to the rentier structure of the Iraqi economy, the money supply had a negligible influence. Monetary authorities must monetize oil earnings in order to finance public spending. Finally, an appropriate framework for monetary management must be created that ensures monetary independence and supremacy remain unimpaired. The findings give a thorough knowledge of the links between national monetary policies and economic stability, which can eventually aid in developing nations' formulation of good monetary and fiscal policies.
Social Media as a Gateway to Information: Digital Literacy on Current Issues in Social Media
Authors: Arafah Burhanuddin , Hasyim Muhammad
Published: January 2022

The digital age has changed humans in accessing information from offline media to online media. The presence of digital media, such as smartphone help people get current issues quickly without limits of time and place. With advances in information technology, internet users not only can receive information but also send information in the form of comments and share information. The current internet media that has become a gateway for information is social media. This paper aims to discuss information dissemination on current issues in social media. The data sources for this paper were social media texts and online questionnaire results. The research question in this paper is what current issues are communicated in social media and how is the cyber communities’ digital literacy on current issues in social media. The research findings show that 90.03% of people access information through social media, the frequency of time spent with social media to access information is 81%, and the type of social media used to access information is Facebook (38.4%), WhatsApp (20.2%), YouTube (18.4%), Twitter (8.3%) and Tiktok (6.1%). Furthermore, the current issues that can be accessed by media users are covid-19 vaccination and intolerance. The major problem with social media as a gateway to information is the digital literacy of the cyber communities on the spread of fake news related to the Covid-19 vaccination and intolerance.
The Impact of Corporate Governance Determinants on Foreign Investment Attraction: An Empirical Study in Iraqi Stock Exchange
Authors: Mustawfiy Haider Abdulhussein Hameed AL
Published: January 2022

In recent years, financial markets have become an important subject. It is due to several factors. First, financial markets are essential in mobilizing national savings and channeling them into investment fields that support the national economy and achieve economic development through more efficient resource allocation. Second, many countries have helped the growth and development of financial markets and the pivotal role it plays in moving the economic growth of any country. Third, the evaluation of corporate governance in the Iraqi financial market varies in application and commitment to the principles and mechanisms of control. What is reflected over the exercise of management profits, especially by the shareholders and good corporate governance? The Corporate Governance Mechanism is one of the essential mechanisms of the knowledge economy. It has received significant international attention from international scientific and professional organizations and councils due to its role in preventing companies from being exposed to defaults and financial and administrative bankruptcy, as well as its role in maximizing the value of the company in the market and ensuring its survival and growth in the international business world. Regionally and locally.
The Future of Legal Regulation Related to Predatory Pricing Practice in E-commerce Implementation in Indonesia
Authors: Wibowo Ari Tri , Prihartinah Tri Lisiani , Suherman Ade Maman
Published: January 2022

This research discusses how the regulation of business competition is in Indonesia currently in regulating predatory pricing practice in e-commerce implementation in Indonesia, and how the legal regulation of predatory pricing practice should be developed in Indonesia to face e-commerce implementation in digital economic era. Type of legal research used was normative one, with juridical normative approach, in which law materials were collected using library study and document study. The normative juridical research would be combined with legal comparative method, in order to see how the regulation of business competition should be in e-commerce implementation in digital economic era in Indonesia in the future. From the result of research, it can be concluded that regulation of predatory pricing is still weak in Indonesia, particularly to foreign business, so that reform and adjustment should be made on the regulation of business competition, particularly concerning predatory pricing in Indonesia in order to answer the challenge of business competition development in digital economic era.
Supervisors’ Perceptions of Postgraduate Students’ Thesis Literature Review Writing in a Ghanaian University
Authors: Afful Joseph Benjamin Archibald , Ngula Richmond S. , Twumasi Rita , Tetteh Gabriel , Mensah Frank
Published: January 2022

A key rhetorical unit in the thesis, the literature review has in recent times received some interest by specialists and researchers of English for Academic Purposes, academic literacy, discourse analysis, and assessment. The present study reports the perceptions of graduate supervisors regarding students’ engagement with thesis literature review writing, focusing on students’ challenges and strategies faced and adopted respectively. Semi-structured interviews were administered to nine (three each) supervisors from three Humanities departments from one public Ghanaian university. The results showed, first, supervisors’ awareness of thesis literature review writing as pivotal and, second, challenges such as reading and comprehension of texts, exercising criticality, synthesizing, referencing, and language use. Further, supervisors identified graduate students’ key coping strategies such as summarizing, paraphrasing, patchwriting, concept mapping, and guidelines from supervisory interactions. These findings have implications for the scholarship on supervisors’ perceptions concerning postgraduate students’ literature review writing in a region least featured in the literature as well as postgraduate pedagogy and further research.
Reversal of hypertensive heart disease: a multiple linear regression model
Authors:   Department of Pharmacology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India, Ahmed Shah Newaz , Jhaj Ratinder ,   Department of Pharmacology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India, Sadasivam Balakrishnan ,   Department of Pharmacology, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India, Joshi Rajnish ,   Department of General Medicine, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
Published: January 2022

Background: The development of left ventricular hypertrophy in primary hypertension increases cardiovascular mortality and morbidity. Reversal of left ventricular hypertrophy through therapeutic control of blood pressure reduces the risk of adverse cardiovascular incidents. Objective: In our study, we explored for the determinants of left ventricular hypertrophy regression. Methods: A cohort (n=217) of patients with hypertensive left ventricular hypertrophy was identified by screening consecutive patients in medical outpatient unit. The primary inclusion criteria were (i) Blood pressure more than140/90 mm of Hg (ii) Left Ventricular Mass Index more than 115 and 95 gm/m2 for males and females respectively. Left Ventricular Mass Index was determined by echocardiography at the time of recruitment and after 24 weeks of standard pharmacotherapy. The change in Left Ventricular Mass Index was modelled using multiple linear regression with both categorical and continuous explanatory variables. The effect of drug therapy on change in Left Ventricular Mass Index was tested in the model with dummy coded variables for the treatment categories. Results: In simple linear regression, the variables significantly correlating with change in Left Ventricular Mass Index were baseline Left Ventricular Mass Index (r=0.62, p<0.001), change in systolic blood pressure (r=0.22, p=0.001), change in mean blood pressure (r=0.16, p=0.02), baseline systolic blood pressure (r=0.15, p=0.02), age (r=0.12, p=0.09) and diabetes (r=0.12, p=0.09). The best fit model (r2=0.408) retained baseline Left Ventricular Mass Index (β=0.59, p<0.001), change in systolic blood pressure (β=0.14, p=0.01) and diabetes (β=-0.104, p=0.05) as the significant predictors. Introduction of treatment effect into the model non-significantly increased the fit of the model (r2=0.414, p=0.27-0.98). Conclusions: Pre-treatment Left Ventricular Mass Index and reduction in systolic blood pressure were the major determinants of left ventricular hypertrophy regression. We also observed that there is lesser left ventricular hypertrophy regression in diabetic patients, warranting future research to explore glycaemic control as a modifiable factor in left ventricular hypertrophy reversal.
Synthesis and Characterization of Reduced Graphene Oxide from Indigenous Coal: A Non-Burning Solution
Authors: Asim Mushtaq , Saud Hashmi , Rafiq Ahmed , Zaeem Uddin Ali
Published: January 2022

A great deal of research has been made into producing graphene or graphene oxide by utilizing graphite as a starting material. An alternate method of producing graphene is using low-grade coal as a starting material. Due to the abundance of coal in Pakistan and increased environmental concern from Government bodies and environmental agencies alike, increased awareness is being made to move over to non-burning solutions to fossil fuels. Experiments were performed on two ranks of coal in parallel; lignite and sub-bituminous. Coal was pretreated first to remove the undesired impurities, which could hinder the graphene synthesis later on. Acid washing with multiple waters was done, followed by carbonization in the furnace. After the pretreatment, the Hummers method was chosen as a chemical process for synthesizing graphene. It is a less complex method, can be easily performed with available resources, and is comparatively cheaper and environmentally friendly. The resulting sample was tested with SEM and EDS, and graphene oxide was confirmed. It was followed by a water-based reduction method to produce reduced graphene oxide from graphene oxide. This modified hydrothermal method was chosen for its eco-friendliness. The final sample was dried and tested with XRD, SEM, FTIR, and RAMAN to authenticate the type of graphene produced. Graphene has remarkable properties, including very high tensile modulus, extremely high thermal conductivity, and charge carrier mobility exceeding 200,000 cm2V-1s-1. Such properties are reason enough to explore low cost, environment friendly, and scalable means of graphene production. Potential graphene applications in various medical, chemical and industrial processes are enhanced or enabled by using new graphene materials.
Clinical aspects of using non-invasive nasal ventilation in patients after COVID-19 complicated by bilateral multisegmental pneumonia
Authors: Oinotkinova O. Sh. , Stebletsov S. V. , Maslennikova O. M. , Zakirova A. S. , Pashovkina O. V.
Published: January 2022

A clinical experience of using non-invasive nasal ventilation in patients after coronavirus disease 2019 (COVID-19) complicated by bilateral multisegmental pneumonia. It has been shown that, against the background of medication therapy, there is a restoration of ventilation-perfusion relationships in lung atelectasis areas, which is confirmed by spirometry and chest computed tomography. Implementation of non-invasive nasal ventilation against the background of drug therapy to restructure diffuse pulmonary fibrosis allows to accelerate the onset of dynamic exercise due to improved exercise tolerance.
Phytochemicals and in silico investigations of Sudanese roselle
Authors: El-Naeem Arwa , Abdalla Sahar , Ahmed Ibrahim , Alhassan Gihan
Published: January 2022

We analysed four different Sudanese roselle samples for their potential as novel xanthine oxidase (XO) inhibitors. Phytochemical screening showed the presence of polyphenols, flavonoids, organic acids, saponins and sterols in all samples. Liquid chromatography with tandem mass spectrometry (LC-MS/ MS) was used to identify and characterise five anthocyanins in all samples: cyanidin-3-glucoside (cy-3-glu), delphinidin-3-sambubioside (dp-3-sam), cyanidin-3-rhamnoside (cy-3-rhm), delphinidin-3‑rhamnoside (dp-3-rhm) and pelargonidin-3-glucoside (pg-3-glu). Identification of cy-3-rhm, dp-3-rhm and pg-3-glu confirmed the selectivity and sensitivity of LC-MS as a powerful technique for identifying anthocyanins. In silico studies of the identified anthocyanins were performed to explore their promising inhibitory activity toward XO. Interactions between the ligand and the enzyme were via the H-bond, and hydrophobic (π-alkyl, π-sigma and alkyl) and/or electrostatic (π-cation) bonds. Inhibition of the anthocyanins was compared with that of topiroxostat, a commercial drug for hyperuricaemia. Dp-3-rhm was the most active inhibitor with a binding energy of ca. -10.90 kcal/mol compared to topiroxostat’s binding energy of ca. -8.60 kcal/mol. The good inhibition results obtained from anthocyanins toward XO suggest their application as a drug candidate to treat gout and other diseases related to the activity of XO.Significance:

Sudanese roselle is rich in phytochemicals, particularly polyphenols and anthocyanins. The isolated anthocyanins in this study were explored as novel potential XO inhibitors. Further pharmacological and clinical studies are necessary for the development of new potential anthocyanin drugs to treat gout and other diseases related to XO increased activity such as hypertension.
Possible Pleistocene hominin tracks from South Africa’s west coast
Authors: Helm Charles W. , Cawthra Hayley C. , De Vynck Jan C. , Rudolf Hattingh  , Lockley Martin G.
Published: January 2022

Two probable tracks have been identified on the ceiling of a small overhang in the Pleistocene Langebaan Formation on South Africa’s west coast. They may have been made by a hominin trackmaker. They appear to have been registered at walking speed on a level, sandy dune substrate. Three tracks, attributed to Homo sapiens, were previously identified near Langebaan in 1995, and were popularly labelled ‘Eve’s Footprints’. The new identification of possible hominin tracks near Langebaan is the second from South Africa’s west coast. This discovery adds to the sparse but growing global record of possible hominin tracks preserved in aeolianites.Significance:

Two probable fossil tracks have been identified on the ceiling of an overhang near Langebaan.
The tracks may have been made by a human walking on a level dune surface during the Pleistocene.
This discovery is the second of its kind on the west coast, and complements the 1995 identification near Langebaan of Pleistocene fossil tracks attributed to humans.
General proteomics FASP (Filter-Aided Sample Preparation) v1
Authors: Waldbauer Jacob , Zhang Lichun
Published: January 2022

Spin-filter based protein digestion and purification for bottom-up proteomics
Только лишь перемещение в пространстве? Миграция в свете концепций справедливости
Authors: Апанович Мария
Published: January 2022

Политический дискурс вокруг процессов глобальных миграций в свете концепций справедливости и прав человека лежит в плоскости сопряжения двух полярных точек зрения. Сторонники первой диспозиции связывают перемещение с гражданством, которое дает свободы и права, но лишь в рамках внутренних границ. Таким образом, государство выступает ограничителем и регулятором потоков. Другая диспозиция говорит о возможности выхода за рамки национальных границ, наделяя правами и свободами всех людей. Концепт глобального управления и создания режимов по отдельным направлениям привносит в дискуссию рассмотрение возможности отказаться от “локальных” барьеров и вслед за глобализацией построить глобальный общественный концепт. На развитие и популярность тех или иных теорий влияние оказывают внешние факторы, а в части перемещения людей по миру, или “глобальной миграции”, они оказываются превалирующими, задающими паттерн развития. Масштабы новых типов трансграничной миграции в последние десятилетия настойчиво свидетельствуют о значимости анализа этого вопроса. В то же время большая часть аналитических материалов сфокусирована на разборе отдельных кейсов и тенденций последних лет. Настоящая статья анализирует ведущуюся дискуссию о возможностях и ограничениях миграции с точки зрения политической науки и теории справедливости Джона Роулза. Автор ставит целью выделить полярные и смежные точки зрения, а также соотнести их с концептом “глобального управления” Томаса Вайса, проанализировать возможности и ограничения на пути формирования “глобального миграционного режима”, очертить российский подход к роли государства в управлении миграционными потоками, а также обратить внимание читателя как на новые тенденции в области восприятия миграции, так и на направления политического дискурса по этой тематике.
Ареальная языковая политика
Authors: Касимов Руслан , Акулич Мария
Published: January 2022

В научно-политическом дискурсе главным объектом языковой политики часто выступает национальный язык, однако процессы глобализации и локализации порождают новые уровни языкового масштабирования, подразумевающие и новые горизонты языковой политики. Считается, что постнациональным стадиям языка соответствуют так называемые мировые языки. В статье доказывается тезис о том, что мировым языком может быть только основной язык глобализации – английский. Остальные же идиомы, называемые “мировыми”, представляют собой ареальные языки – языки региональных держав и отдельных цивилизационных пространств. Теоретическим основанием выделения ареальных языков выступили иерархические модели Д. Кристала, А. де Свана и Б. Качру. Выводы получены посредством применения компаративистского метода – ареальные языки могут быть рассмотрены как “социальные виды” Э. Дюркгейма. Материалом компаративного анализа выступили супранациональные языки. Актуальная языковая ареальная политика рассмотрена на основе политики, проводимой по отношению к французскому языку. Сделаны выводы о том, что ареальные языки предполагают особую языковую политику, отличную от национальной. Ареальная языковая политика имеет целью инклюзию (“обращение”) “новоговорящих” за пределами стержневого государства. Ареальные языки “бросают вызов” в первую очередь существующему мировому языку и в меньшей степени – друг другу. Выявлено, что ареальная языковая политика должна проводиться на трех уровнях планирования: статусном, корпусном и уровне планирования овладения языком. Статусное планирование – основополагающее, оно служит повышению престижа и привлекательности определенного языка и культуры. Корпусное планирование подразумевает сохранение целостности языкового пространства и осуществляется в формах моноцентризма и плюрицентризма. Уровень планирования овладения языком требует создания международных сообществ, сети образовательных учреждений, в рамках которых проводится обучение “новоговорящих”, значимого контента в медиасфере.
Влияние политических институтов на экономический рост в странах мира
Authors: Парма Роман , Расторгуев Сергей , Тян Юлия
Published: January 2022

Авторы исследуют взаимозависимость политических институтов и темпов экономического роста в посткризисный период 2010-2018 гг. В статье представлен обзор научных исследований влияния демократизации на развитие стран, определены создающие междисциплинарный дискурс концептуальные позиции: демократия способствует росту, демократия не способствует росту, рост способствует демократии, рост не способствует демократии. Взаимозависимость политических институтов и экономического роста проанализирована на основании показателей 100 крупнейших экономик мира по объему ВВП (ППС). Для измерения качества политических институтов используются показатели среднего балла страны в Индексе демократии (2010-2018 гг.) и средней позиции страны в Индексе восприятия коррупции. Темпы экономического роста страны рассчитаны как среднеарифметические показатели за 2010-2018 гг. на базе данных Всемирного Банка. Сравнительный анализ переменных показывает, что в целом страны с низкими показателями качества политических институтов достигли темпов экономического роста выше среднемировых значений, а страны с высоким качеством политических институтов погрузились в состояние замедленного развития. Авторы пришли к заключению, что в среднесрочном периоде высокий уровень демократизации государств не приводит к значимому экономическому росту: полные демократии способствуют стабильно низким темпам экономического развития, дефектные демократии более предрасположены к достижению экономического роста, гибридные режимы в наибольшей степени благоприятствуют высоким темпам роста, авторитарные режимы влияют на рост неоднозначно, но некоторые из них демонстрируют стремительное развитие. Демократизация способствует повышению темпов экономического роста до определенного уровня – “точки перелома”, что подтверждает гипотезу Р. Барро на современном этапе. Повышенный уровень коррупции не является непреодолимым препятствием для экономического роста, что противоречит общепринятым представлениям об однозначно негативном характере данного явления. Результаты исследования вносят вклад в научную дискуссию о зависимости экономического роста от качества институтов. Выводы отражают столкновение концепций демократизации, основанной на либеральных ценностях, и модернизации, заключающейся в эффективности экономического развития.
COVID, Obstructive Airway Diseases and Eosinophils
Authors: B Jayakrishnan , Nair Parameswaran
Published: January 2022

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Linear Pigmented Purpuric Dermatoses
Authors: Al Khalili Ayida , Billick Robin
Published: January 2022

NONE
Új utak a társadalom megismerésében
Authors: Zoltán Kmetty
Published: January 2022

More and more digital data is being generated every day, and more and more social scienceanalyses are using Twitter, Instagram, or Facebook data. Many international and national studieshave already explored the social science opportunities and dilemmas raised by the phenomenonof ‚big data’ - but the issue of ‚access to data’ has only been touched upon tangentially. Andaccess to data is becoming increasingly difficult. What can we do if market players close theaccess to their data, and, if we find data available, the Research Ethics Board tells us to stop? Theanswer is simple: go to the users and ask them for the data. This approach is what the literaturecalls data donation. This paper will describe the data donation approach in detail, focusing onhow researchers can access data through users on the current major Western platforms. Thepractical feasibility of data donation access will be illustrated based on a domestic pilot study.
Magyar videóblogger hálózatok online
Authors: Dániel Hegedűs
Published: January 2022

The web 2.0 phenomenon and social media – without question – not only reshaped our everyday experiences, but they have established an environment for new types of social practices and social actors. The demotization (Turner 2010) effect of such technologies has created entirely new fields where celebrities might emerge from: one of them is videoblogging. Many video bloggers gained great reputation through peculiar micro-celebrity practices (Marwick 2015, Senft 2012), and, as a result, became key figures in distributing ideas, values and knowledge in today’s society. These cognitive patterns are disseminated with a discursive apparatus that is largely based on social media activity, including posts, tweets, self-imagery and the videos themselves, which are tied to a certain logic according to environmental affordances, creating the possibility for fans to interact (share, comment, like, retweet etc.) with artifacts of the celebrity. This mechanism puts the celebrity in a so-called expert system (Giddens 1990) position as they provide adequate schemas of attitude, mentality or behavior. Most importantly, all of these public interactions are accessible for scholars to conduct scientific research. With the help of the SentiOne application this research attempts to reconstruct online networks of video bloggers based on mentions, which either occurred in an artifact (post, video description etc.) or in a fan comment. Apart from the network itself, SentiOne enables us to get insights regarding each individual connection established in it with different types of aggregated data.
Mi a téma? Politikai témák és felhasználói reakciók szövegbányászati vizsgálata a 2018-as országgyűlési kampány politikusi Facebook-oldalain
Authors: Márton Bene
Published: January 2022

The research investigates the way users interact with leading topics of the 2018 Hungariangeneral election campaign on candidates’ Facebook pages. It expects that the prominent(immigration, corruption) and campaign-related topics generate more user engagement, whilepolicy topics and mobilization content are less interacted. It also tests the theory of issue ownershipin relation with user engagement. These expectations are tested on a dataset that includes allposts (38030 posts) posted by all candidates during the campaign (511 candidates). Topicsare identified by text mining methods. The study demonstrates that corruption, developmentpolicy and campaign are highly engaged topics, while immigration was more interacted only onopposition politicians’ pages since the followers of pro-government candidates engage less withimmigration-related content. The most surprising result is that a reversed issue ownership effectcan be detected since politicians are generally less successful with their own topics.
Merre tovább, netgeneráció?
Authors: Anna Sütő
Published: January 2022

My study attempts to explore the lifestyle-based segments of the Hungarian youth through aninnovative methodology based on social media data, incorporating the dimension of digitizationinto the creation of lifestyle groups. The examination of the segments’ lifestyle attitudes isassisted by a review of the related theoretical milieu approaches, international and Hungarianempirical milieu researches
Közösségi média kommunikáció a digitális egészségügyi térben
Authors: Sára Simon
Published: January 2022

In the environment of 21st century technology, the transformation of information acquisitionof health care and patients has had an increasing emphasis. Despite the earlier authoritativedoctor-patient relationship, a need for an equal, cooperation-based communication has emergedand there are so many digital healthcare projects to achieve this (Koskova 2015).Information acquisition on the internet has allowed patients that based on the increasinglyavailable medical information they acquire information about their condition, become part ofpatient communities, ask for second opinions, and become committed helpers of their doctors intheir disease (Meskó et. al 2017).This can be especially true for patients with rare diseases, where a diagnosis might take evena decade, the patient needs lifelong condition maintenance and treatment, if it is available. While the proportion of patients with rare diseases is low compared to the whole of society, the number of such patients is approximately 30 million in Europe (EURORDIS), which means patientsand their relatives need not only a harmonized health care system, but extensive information sothat they can live with the rare disease with less difficulty.The aim of our study was to present the options of information acquisition in the socialmedia, focusing on Twitter, via an interdisciplinary and social approach. In this study thereforewe carried out a Big Data based social media analysis based on #Asthma and #CysticFibrosisdatabases of the Symplur corporation. This study results contain the complete online communication of 7 years (2012-2019) regarding these hashtags. The analysis has few levels includingsemantic research, stakeholder and hashtag review, engagement, and the whole tweet activityexploration.
Serum Albumin Levels Strongly Predict Survival Outcome of Elderly Patients with Diffuse Large B-Cell Lymphoma Treated with Rituximab-Combined Chemotherapy
Authors: Kaneko Hiroto , Shimura Kazuho , Yoshida Mihoko , Matsumoto Yosuke , Kobayashi Tsutomu , Uchiyama Hitoji , Kuroda Junya , Taniwaki Masafumi
Published: January 2022

Background: In the current Japanese aging society, a high number of very elderly patients (age ranged from 80 to 93) with diffuse large B-cell lymphoma (DLBCL, most frequent hematological malignancy), who require chemotherapy are encountered. However, standard chemotherapy can result in severe adverse effects in elderly patients. Although various scoring systems are available to assess frailty, they are too complicated to immediately make a therapeutic decision, and studies on indications for chemotherapy in elderly patients are few.
Materials and Methods: In the present study, we retrospectively analyzed the clinical records of 56 patients with DLBCL aged 80 or older who received R-CHOP or similar chemotherapy. Association of various clinical parameters, including performance status, stage, B symptom(s), laboratory data and relative dose intensity and survival outcomes was examined.
Results: Pretreatment serum albumin level was identified as the only factor that predicts overall and progression-free survivals.
Conclusion: We have concluded that very elderly DLBCL patients aged 80 or older with hypoalbuminemia may be unfit for standard chemotherapy, regardless of other factors. Alternative or palliative therapy should be considered for those patients.