bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparing Emotional Valence Scores of Twitter Posts from Manual Coding and Machine Learning Algorithms to Gain Insights to Refine Interventions for Family Caregivers of Persons with Dementia
Authors: Yoon Sunmoo , Broadwell Peter , Sun Frederick F. , Jang Sun Joo , Lee Haeyoung
Published: June 2022

We randomly extracted Korean-language Tweets mentioning dementia/Alzheimer’s disease (n= 12,413) from November 28 to December 9, 2020. We independently applied three machine learning algorithms (Afinn, Syuzhet, and Bing) using natural language processing (NLP) techniques and qualitative manual scoring to assign emotional valence scores to Tweets. We then compared the means and distributions of the four emotional valence scores. Visual examination of the graphs produced indicated that each method exhibited unique patterns. The aggregated mean emotional valence scores from the NLP methods were mostly neutral, vs. slightly negative for manual coding (Afinn 0.029, 95% CI [-0.019, 0.077]; Syuzhet 0.266, [0.236, 0.295]; Bing -0.271, [-0.289, -0.252]; manual coding -1.601, [-1.632, -1.569]). One-way analysis of variance (ANOVA) showed no statistically significant differences among the four means after normalization. These findings suggest that the application of NLP can be fairly effective in extracting emotional valence scores from Korean-language Twitter content to gain insights regarding family caregiving for a person with dementia.
Designing a Social Robot Companion to Support Homecare: Usability Results
Authors: Villaverde Naveira Alexandra , de Masi Alexandre , Wac Katarzyna , Amabili Giulio , Vastenburg Martijn , Alberts Janna , de Koning Judith , Cuijpers Raymond , Lovis Christian
Published: June 2022

Earlier studies show frail seniors often experience loneliness and depression. Moreover, frailty can lead problems with medication and nutrition patterns. The availability of family care and/or nursing care at home is limited. Digital companions, such as social robots, could complement homecare nurses, thereby improving the quality of care to frail seniors. The Guardian project has co- designed with end-users, a social robot providing social company and health support. To assess the digital and co-created solution, usability evaluations have been conducted with 43 participants distributed as fairly as possible between frail seniors, family carers and professional nurses; in three different European areas: The Netherlands, Italy and Switzerland. The goal of this study is to evaluate if the GUARDIAN solution is accepted by the target users and also gather data on how to improve the system for ensuring added-value in home care. The iterative method based on user-centered approach put the end-users at the centre of the usability evaluation. Through thematic analysis of the qualitative datasets, we conclude that a high number of users accept the solution and describe it as useful. End-user needs have been mainly addressed but some new improvements have been pointed out by the participants and some other needs have been uncovered.
Inference Time of a CamemBERT Deep Learning Model for Sentiment Analysis of COVID Vaccines on Twitter
Authors: Guerdoux Guillaume , Tiffet Théophile , Bousquet Cedric
Published: June 2022

In previous work, we implemented a deep learning model with CamemBERT and PyTorch, and built a microservices architecture using the TorchServe serving library. Without TorchServe, inference time was three times faster when the model was loaded once in memory compared when the model was loaded each time. The preloaded model without TorchServe presented comparable inference time with the TorchServe instance. However, using a PyTorch preloaded model in a web application without TorchServe would necessitate to implement functionalities already present in TorchServe.
Seismocardiography with Smartphones: No Leap from Bench to Bedside (Yet)
Authors: Albrecht Urs-Vito , Lawin Dennis , Kuhn Sebastian , Kulau Ulf
Published: June 2022

For a decade, seismocardiography (SCG) on smartphones has been an interesting topic within the technical community, but mobile applications for this topic are rare on the market. The transition from laboratory to bedside application seems to have not yet been completed. To possibly increase the chances of a successful implementation, the added value of the method needs to be addressed clearly and backed up by research. The authors address the following aspects. 1. To improve comparability, standardization is required, 2. adequate validation processes in clinical settings will build trust, but foremost, 3. the field of application should be critically evaluated to identify the most meaningful and reasonable benefit of this method.
Evaluating Usability of Telehealth Sehhaty Application Used in Saudi Arabia During Covid-19
Authors: Dawood Aisha Mohammad , Alkadi Khulud Sulaiman
Published: June 2022

Telehealth services were made available in the Kingdom of Saudi Arabia through a number of different mobile applications, one of which is the Sehhaty application. Studies are needed to evaluate how consumers are perceiving these services, during the COVID-19 pandemic. This study aims to measure consumers’ satisfaction with telehealth services provided by the Sehhaty application and to compare the results to other countries using similar telehealth services. The telehealth usability questionnaire (TUQ) tool was used to construct an online survey to gather consumers’ usability assessment and measure satisfaction. The study provides strong evidence that Sehhaty application has a high acceptance rate among users with 76.36% overall satisfaction. Although, 44.34% of participants liked using Sehhaty application, a total of 68.87% participants prefers in-person visits. As a result, more studies need to be conducted to identify factors affecting satisfaction levels for Sehhaty telehealth solutions by the public.
Explaining Contextualized Word Embeddings in Biomedical Research – A Qualitative Investigation
Authors: Miletic Marko , Sariyar Murat
Published: June 2022

Contextualized word embeddings proved to be highly successful quantitative representations of words that allow to efficiently solve various tasks such as clinical entity normalization in unstructured texts. In this paper, we investigate how the Saussurean sign theory can be used as a qualitative explainable AI method for word embeddings. Our assumption is that the main goal of XAI is to produce confidence and/or trust, which can be gained through quantitative as well as quantitative approaches. One important result is related to the fact that the differential structure of language as explained by Saussure corresponds to the possibility of adding and subtracting word embeddings. On the other hand, these mathematical structures provide insights into the inner workings of natural language.
Integration of Biobanking Architecture with Genomics Data: Genomics Integrated Biobanking Ontology (GIBO)
Authors: Singh Nitya , Braun Naomi , Hogan William , Brochhausen Mathias
Published: June 2022

Integration of clinical-pathological information of Biobanks with genomics-epidemiological data/inferences in a structured and consistent manner, mitigating inherent heterogeneities of sites/sources of data/sample collection, processing, and information storage hurdles, is primary to achieving an automated surveillance system. Genomics Integrated Biobanking Ontology (GIBO) presents a solution for preserving the contextual meaning of heterogeneous data, while interlinking different genomics and epidemiological concepts in machine comprehensible format with the biobank framework. GIBO an OWL ontology introduces 84 new classes to integrate genomics data relevant to public health.
Methods Used to Compare Narrative Clinical Practice Guidelines: A Scoping Review
Authors: Azarpira Mohammadreza , Redjdal Akram , Bouaud Jacques , Seroussi Brigitte
Published: June 2022

Guideline-based clinical decision support systems (CDSSs) need the most recent evidence for reliable performance, making the provision of regularly updated clinical practice guidelines (CPGs) a major issue. Some international guidelines are renewed in short intervals and can be used for checking the status of given national guidelines with regard to the most recent evidence. Considering the volume of medical data and the number of CPGs published, computerized comparison of clinical guidelines can be an effective method. We performed a scoping review to evaluate the methods used for comparing two CPGs. We searched for methods for extracting CPG components and for methods used for comparing CPGs at different levels of abstraction. In each case, computerized and semi-computerized methods were recognized. Expert knowledge has yet a determinant role for assessing the comparisons, this role being more prominent for the extraction of semantic rules and the resolution of inconsistencies.
BeWell@Digital – Supporting Young People’s Mental Health in Western Balkans with E-solutions
Authors: Čič Katja , Tošić Bojana
Published: June 2022

BeWell@Digital is a project aimed at improving the status of Mental health of youth from the Western Balkans by using Digital health solutions, mobile tools, capacity building and sustainable non-formal education and peer support services for the personal and professional development of young people. This submission contains a presentation of the methodology created for the project, aimed at increasing the awareness and creating sustainable support for mental health issues of young people in WB countries, while addressing the gaps left behind by the pandemic.
Effect of Hydroxychloroquine on Influenza Prevention
Authors: Huo Xingyue , Finkelstein Joseph
Published: June 2022

The aim of this study was to assess whether long-term administration of hydroxychloroquine (HCQ) is protective from influenza in patients with rheumatoid arthritis and systemic lupus erythematosus. Using a propensity score-matched design, patients who were prescribed HCQ for more than 10 months were matched with patients of the same gender, age group, and Charlson Comorbidity Index score who did not receive HCQ. A logistic regression model was used to estimate the association between the HCQ exposure and influenza after adjusting for covariates. We found no evidence that long-term HCQ exposure can provide a protective effect against influenza during an influenza season.
Treatment Prediction in the ICU Setting Using a Partitioned, Sequential Deep Time Series Analysis
Authors: Shapiro Michael , Shahar Yuval
Published: June 2022

We developed a neural network architecture to evaluate the patient’s state using temporal data, patient’s demographics and comorbidities. We examined the model’s ability to predict both a binary medication-treatment decision and its specific dose in three common scenarios: hypokalemia, hypoglycemia and hypotension. We partition the common 12-hours horizon window into three sub-windows, examining how patterns of treatment evolve following a key clinical event or state. This partitioned analysis also helps in alleviating the problem of small data sets, by utilizing previous sub-windows’ data as additional training data. We also propose a solution to the problem of the relative inability of dose-prediction models to output a “no treatment” classification, through the use of sequential prediction.
Clinical Trials on Alternative Medicines for COVID-19
Authors: Jaber Bassam Ali , Qureshi Rizwan , Abd-Alrazaq Alaa , Rahman Mohammad Azizur , Househ Mowafa , Shah Zubair , Alam Tanvir
Published: June 2022

In this study, we addressed the alternative medications that have been targeted in the clinical trials (CTs) to be evidenced as an adjuvant treatment against COVID-19. Based on the outcomes from CTs, we found that dietary supplements such as Lactoferrin, and Probiotics (as SivoMixx) can play a role enhancing the immunity thus can be used as prophylactics against COVID-19 infection. Vitamin D was proven as an effective adjuvant treatment against COVID-19, while Vitamin C role is uncertain and needs more investigation. Herbals such as Guduchi Ghan Vati can be used as prophylactic, while Resveratrol can be used to reduce the hospitalization risk of COVID-19 patients. On the contrary, there were no clinical improvements demonstrated when using Cannabidiol. This study is a part of a two-phase research study. In the first phase, we gathered evidence-based information on alternative therapeutics for COVID-19 that are under CT. In the second phase, we plan to build a mobile health application that will provide evidence based alternative therapy information to health consumers.
Open Source Web Application: An Application on Health Tourism in Greece
Authors: Tsoutsani Eleni Anna , Zoulias Emmanouil , Gallos Parisis , Mantas John
Published: June 2022

The purpose of this work is to enhance health tourism services for thermal sources in Greece. Within this research work, a website was developed to assist all interested people in searching for the appropriate thermal source for them. The content of the website is related to the health tourism ideas approach the historical foundation of health tourism and the alternative forms. The website was implemented based on the open-source CMS of Joomla. The server hosted by the CMS is based on open-source solutions such as Apache, MariaDB, and PHP.
Evaluating a Competency-Based MOOC for Paediatric Training
Authors: Papakonstantinou Despina
Published: June 2022

Electronic health records (EHRs) are a critical aid to effective healthcare delivery; however, the percentage of adoption of EHRs remains low, especially in the paediatric domain. Usage can be fostered through enhanced training based on competency models. Massive Open Online Courses (MOOCs) may increase the use of EHR data. This paper outlines the evaluation procedure of a designed competency-based MOOC training program, provided to users through an LMS framework and embedded into an EHR system to optimally train at any time, even at the point of healthcare delivery.
Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms
Authors: Danilov Gleb , Kotik Konstantin , Shifrin Michael , Strunina Yulia , Pronkina Tatiana , Tsukanova Tatiana , Nepomnyashiy Vladimir , Konovalov Nikolay , Potapov Alexander
Published: June 2022

This study aimed at testing the feasibility of neurosurgical procedures classification into 100+ classes using natural language processing and machine learning. A catboost algorithm and bidirectional recurrent neural network with a gated recurrent unit showed almost the same accuracy of ∼81%, with suggestions of correct class in top 2-3 scored classes up to 98.9%. The classification of neurosurgical procedures via machine learning appears to be a technically solvable task which can be additionally improved considering data enhancement and classes verification.
Augmenting the Doctor of the 21st Century with Patient-Centered Communication Skill-Sets: The FOR21 Project
Authors: Nikolaidou Maria , Rodina-Theocharaki Anastassia , Smyrnakis Emmanouil , Bamidis Panagiotis
Published: June 2022

The delivery of quality healthcare by medical doctors involves not only the clinical treatment of patients but also the ability to communicate effectively with them in order to establish a caring relationship. FOR21 project applies collaborative learning pedagogies and advanced learning technology to implement a patient-centered communication skills programme within the existing medical curricula of 6 medical institutions in Kazakhstan, Russian Federation and Uzbekistan.
Web Quality Assurance of Information in Healthcare
Authors: Tsirintani Maria
Published: June 2022

Health service delivery systems and ehealth applications are facing an ever-increasing pressure to improve the quality of their services to patients. The evolution in the way of interaction between health care providers and the patients is the basis for the collaborative internet and frames the transition from Web 2.0 to next Web versions. In this study, we are searching for solutions for quality assurance of information for the user. The survey has shown the need for an integrated policy on the quality of information published on health-related websites, while on the other hand it highlights the important role of upcoming Web technologies.
Electronic Patient Reported Outcomes for Miscarriage Research in Tommy’s Net
Authors: Khan Omar , Gour Shramika , Lim Choi Keung Sarah N. , Morris Natalie , Shields Rebecca , Quenby Siobhan , Dimakou Danai B. , Pickering Oonagh , Tamblyn Jennifer , Devall Adam , Coomarasamy Arri , Thornton Danielle K. , Perry Alison , Arvanitis Theodoros N.
Published: June 2022

The Tommy’s National Centre for Miscarriage Research aims to support the diagnosis and treatment for couples suffering from recurrent miscarriage. Tommy’s Net is an electronic data gathering tool, collecting miscarriage data and links with hospital Clinical Information System databases. The gathering of patient reported data is an important aspect, especially as data relating to pregnancy and miscarriage events are often left unreported. Methods: Both traditional paper-based and electronic patient reported outcome (ePRO) solutions have been explored to improve response rates, minimize data redundancy and reduce burden on staff. Popular ePRO survey solutions have been compared, including REDCap, SurveyMonkey, Qualtrics and LimeSurvey. Results: LimeSurvey was selected as the most appropriate solution as it provided self-hosting capability, SMS integration and ease of use. Conclusion: We have implemented a LimeSurvey based ePRO system for collection of baseline and follow-up data for participants on the Tommy’s study.
Investigating Diabetes Mellittus Impact on Various Aspects of Patients’ Quality of Life
Authors: Kontoteza Ifigeneia Vasiliki , Dragamestianou Aggeliki , Galanis Petros , Siskou Olga , Papazafiropoulou Athanasia , Konstantakopoulou Olympia , Gallos Parisis , Karagkouni Iliana , Kaitelidou Daphne
Published: June 2022

The aim of the study was to evaluate the quality of life (QoL) of patients with diabetes mellitus (DM) Methods: A cross-sectional study was conducted using the Audit of Diabetes-Depended Quality of Life (ADDQoL) questionnaire. The study included adult patients with diabetes mellitus type 1 (DM 1) or type 2 (DM 2). Results: A total of 253 patients were enrolled in the study. Despite the fact that the majority of participants stated a good QoL, DM has a negative impact on all 19 domains of ADDQoL. The greater negative impact referred to the domain “freedom to eat”. There was no relation between overall score of QoL and age, gender or type of DM. On the contrary, we found statistically significant relation between age, gender, type of DM, presence of comorbidities and specific domains of Qol. Conclusions: Our findings, which are in accordance with the literature, highlight the great negative impact of DM on QoL of diabetics and they could be used by health professionals and policy makers to improve patients’ well-being.
Investigating Diabetes Mellitus Patients’ Experiences with Self Monitoring Blood Glucose Methods
Authors: Dragamestianou Aggeliki , Kontoteza Ifigeneia Vasiliki , Siskou Olga , Galanis Petros , Papazafiropoulou Athanasia , Konstantakopoulou Olympia , Gallos Parisis , Karagkouni Iliana , Kaitelidou Daphne
Published: June 2022

Diabetes mellitus (DM) is a common metabolic disease characterized by high blood glucose levels, and it is considered as a modern global threat. Glucose monitoring is an important component of modern therapy for diabetes mellitus. Self-monitoring blood glucose (SMBG) by finger pricking or flash glucose monitoring (FGM) allows individual planning of treatment. The aim of this study was to investigate patients’ experiences with self-monitoring blood glucose methods. Methods: A cross-sectional study was conducted using the Glucose Monitoring Experiences Questionnaire (GME-Q), consisted of 22 items with an overall score ranging from 1 to 5 (higher score indicates better experiences). The study included adult patients with diabetes mellitus type 1 (DM 1) or type 2 (DM 2). Results: Out of 253 participants (mean age, 56.4 years), 65.6% were suffering from DM type 2 and 34.4% from DM type 1, whereas 48.6% were using SMBG and 49.8% FGM. The mean score of convenience and effectiveness were higher in the group of patients using FGM, while SMBG found to be more discreet. The results of the analysis suggested that there was no relation between gender and effectiveness, discreetness or convenience of the method used for glucose monitoring. Furthermore, participants with diabetes type 2 reported higher “convenient” and “discreetness” score than patients with diabetes type 1. The analysis also indicated that there was no relation between the age of the participants and the effectiveness, discreetness and convenience of any glucose monitoring method. Conclusions: Improved self-glucose monitoring experiences are an essential component to achieve effective management of patients suffering from both DM 1 and DM 2. More research should be conducted on the field of glucose monitoring experiences, related to the cost of the methods, the user’s training and the ability to support insulin/diet calculations.
Structural and Semantic Mapping of Application Programming Interfaces
Authors: Peake Ashley R. , Khan Omar , Lim Choi Keung Sarah N. , Yuksel Mustafa , Laleci Erturkmen Gokce Banu , Arvanitis Theodoros N.
Published: June 2022

Modern healthcare providers rely upon Electronic Healthcare Records (EHR) systems to record patient data inside their own organization. Some healthcare providers share this data to facilitate patient care with other providers. Medical devices and healthcare providers can use differing standards of recording healthcare information. The Structural and Semantic Mapper Proxy API solution offers a practical way to tackles the issues of Structural and Semantic mapping of Application Programing Interfaces (API) in a healthcare context to enable connection of all existing systems to a healthcare providers EHR creating a single source of truth regarding the treatment of patients and enabling healthcare providers to bridge the gap between external EHR systems.
Automated Segmentation of Lateral Ventricles in Alzheimer’s Conditions Using UNET++ Model
Authors: Shaikh Shabina , Ganapathy Nagarajan , Swaminathan Ramakrishnan
Published: June 2022

Accurate diagnosis of Alzheimer’s disease (AD) in early stage can control the disease progression. Enlargement of Lateral Ventricles (LV) is one of the significant imaging biomarkers for the differentiation of Alzheimer’s conditions. However, segmentation of accurate LV for analysis is still challenging. In this work, an attempt is made to segment LV regions from brain MR images using the UNet++ model. For this, axial scans of the MR images are taken from the publicly available Open Access Series of Imaging Studies (OASIS) Brain dataset. LV-based region of interest is segmented using the UNet++ network. Results show that the proposed approach is able to segment brain regions in Alzheimer’s conditions. The UNet++ network model yields the highest dice score of 99.4% and sensitivity of 99.3% in segmenting the LV brain region. Thus, the proposed method could be useful for characterizing Alzheimer’s condition.
An OHDSI ATLAS Extension to Support Feasibility Requests in a Research Network
Authors: Reinecke Ines , Gruhl Mirko , Pinnau Martin , Altun Fatma Betül , Folz Michael , Zoch Michéle , Bathelt Franziska , Sedlmayr Martin
Published: June 2022

Checking the feasibility of real-world data to answer a certain research question is crucial especially in a multi-site research network. In this work we present an extension of the ATLAS user interface for the OMOP common data model that integrates into an existing national feasibility network and thus foster capabilities for future participation in international research studies.
Investigating the Impact of the Covid-19 Pandemic on the Economy and the Corresponding Entrepreneurship Support Measures in Europe
Authors: Babatsikou Anastasia , Kaitelidou Daphne , Galanis Petros , Liarigkovinou Angeliki , Konstantakopoulou Olympia , Siskou Olga
Published: June 2022

Covid-19 pandemic continues to cause great losses in human lives and adverse consequences in many sectors of the EU economy. The aim of the paper is to evaluate the effects of the pandemic in small and medium-sized enterprises (SMEs), in culture – entertainment industry and to investigate the effectiveness of the corresponding entrepreneurship support measures have been taken. This review was conducted based on related articles that were published during the years 2020–2021, using the online databases of Google Scholar, Science Direct, Elsevier, PubMed, OECD, IOBE. A total of 16 eligible studies were included in this literature review. EU authorities have launched measures, setting up policy and funding instruments to mobilize the economy. The impact of these measures is of great significance for many EU countries and sectors. However, measures taken for small and medium-sized enterprises, tourism and culture were not evaluated effectively to get the sectors back on track. Those measures were effective in short term and were insufficient to boost the recovery of the EU economy in long term. Since Covid-19 still exists, the fear of a recurrence is fed back. Long-term support measures need to be re-evaluated and new strategies must be established, that will set, sustainability criteria for companies, according to future investment and development policies.
A Bibliometric Analysis of Virtual Reality-Aided Vision Therapy
Authors: Ali Qasim , Heldal Ilona , Helgesen Carsten Gunnar
Published: June 2022

While Virtual Reality (VR) has gained significant attention in different domains of health care and promises benefits for managing vision disturbances, no bibliometric analysis focuses on its use in vision therapy. This study aims to analyze and visualize the scientific literature indexed in the Web of Science databases by visualizing bibliometric indicators illustrating publication trends from 2001. The findings provide a better understanding of the state-of-the-art of existing vision therapy research utilizing VR.
Artificial Intelligence: On the Way to Doctor’s Trust
Authors: Shifrin Michael , Khavtorin Anton , Danilov Gleb
Published: June 2022

The submission is devoted to reflections on the role of trust to modern IT systems, especially based on the AI technologies. Its purpose is to draw the attention of the medical informatics community to the need to achieve trust at all stages of the life cycle of MDSS and other information systems.
Influence of environmental factors on vegetative reproduction of Lilium
Authors: Biglova Aygul' , Allayarova Irina , Reut Antonina , Lastochkina Oksana
Published: June 2022

Abstract. To study the effect of the spectral composition of light on the processes of plant life, the most successful source of illumination is light-emitting diodes, which allow you to receive light waves of a certain length. Currently, great prospects are associated with the development of microbial biological products based on endophytic strains of bacteria of the genus Bacillus, which inhabit internal tissues without harm to the host. The article presents the results of studies of the influence of red, blue, red + blue and white light spectra in combination with endophytic strains of B. subtilis 10–4 bacteria on the vegetative reproduction of Lilium × hybrida ‘Trendy Savannah’ in a closed room without access to sunlight. The purpose of the work is to identify the optimal conditions for obtaining high-quality planting material for lilium. Methods. The light was provided by LED modules. The bulbs of Lilium for experimental variants were soaked in B. subtilis 10–4 before planting. Scientific novelty. For the first time, specificity was revealed in the formation of vegetative and generative organs of the cultivar, as well as in the cycle of seasonal development, depending on lighting options. Results. According to the results of the conducted studies, it was revealed that to obtain bulblets, as a material for vegetative reproduction of Lilium × hybrida ‘Trendy Savannah’ in a closed room, it is most promising to use the red light spectrum without treating bulbs with bacteria; to obtain baby onions – the blue range in combination with strains of B. subtilis 10–4 bacteria. The results of two-factor dispersion analysis showed that the greatest influence of the light mode factor was revealed for the height of bulblets and the number of bulblets and the processing factor of B. subtilis bulbs 10–4 – for the diameter of bulblets and the length of the leaves of bulblets. A significant maximum of the total contribution of both factors (A × B) was noted for the width of the leaves of bulblets and the number of baby onions.
To the 50th anniversary of the report to the Club of Rome “Limits to Growth”. Russia’s potential in solving the world food problem
Authors: Ovsyannikov Yu.
Published: June 2022

Abstract. The paper analyzes the role of grain production in providing the planet's population with food. This issue is considered in the aspect of the first report to the Club of Rome “Limits to Growth”. It was made 50 years ago, which was the reason for evaluating the forecasts made and analyzing the state of the level of food security. The purpose of the research is to assess the level of food security of the world's population and analyze the role of individual countries in solving this problem. The scientific novelty consisted in a comprehensive study of relevant statistical materials reflecting the potential of Russia in increasing world grain production and solving the world food problem. To do this, an analysis was made of the growth of the population on the planet and the rate of increase in grain production in the period from 2011 to 2020, the yield of grain crops and the possibility of its increase in different countries, including Russia. It was determined that over the years the world grain harvest has increased at a faster rate than the population. These indicators amounted to 10.8 and 18.1 %, respectively. At the same time, the growth in wheat production, which is the basis for food production, amounted to only 8.9 %. The article assesses the role of individual countries, including Russia, in solving the world food problem. Methods. The study was conducted using systemic, statistical and historical analyzes, as well as methods of comparison and generalization. Results. Based on the analysis, it is concluded that the potential of a number of countries to increase grain production has been exhausted. This is manifested in the absence of positive dynamics in the productivity of agricultural crops. At the same time, in Russia during the period under review, grain yields increased by 26 %. An analysis was made of the possibility of increasing grain production in Russia through more efficient use of land resources. He showed that Russia in this direction has significant advantages compared to other countries. The practical significance of the work lies in the fact that the results of the analysis made can be used in determining the directions for the development of the agricultural sector, assessing Russia in solving the world food problem, compiling and evaluating models of global development, as well as in educational activities.
Türkiye-Çin İlişkilerine Etki Eden İç ve Dış Faktörler
Authors: YILDIRIMÇAKAR Emrah
Published: June 2022

Türkiye ile Çin arasındaki stratejik ilişkilerin gelişmesinde iki ülke arasında zaman zaman rahatsızlık yaratan Uygur Sorunu ve Dış Ticaret açığı gibi iç etkenlerin yanı sıra, Amerika Birleşik Devletleri, NATO ve Avrupa Birliği gibi dış faktörlerin rolü de önemli biraya sahiptir. Çin’in uluslararası arenada artan siyasi ve ekonomik nüfuzuna paralel olarak Türkiye-Çin ilişkileri de hem siyasi hem de ekonomik açıdan gün geçtikçe ilerleme kaydetmektedir. Dolayısıyla, Türkiye-Çin ilişkilerinin gelişme sürecini engelleyen iç ve dış faktörlerin incelenmesi, iki ülke ilişkilerinin daha ileriye taşınmasında önemli bir rol oynayacaktır. Bu amaç doğrultusunda, bu çalışma Türkiye ile Çin arasında gelişen ilişkilerde güçlük yaratma potansiyeli olan iç ve dış faktörlerin etkilerini inceleyerek, Türk-Çin ilişkilerine katkı sunmayı amaçlamaktadır.
Ideological Attitudes on Folklore Studies of Iranian Turks
Authors: SARPKAYA Seçkin
Published: June 2022

Halk bilimi disiplini başlangıcından günümüze ideolojik tutumlarla yan yana olmuştur. Bu durum bazen halk biliminin incelediği topluluk olan halk ve halkın üretimlerinden hareketle nesnenin tabiatı gereği, bazen de halk bilimi araştırmacılarının düşüncelerinden hareketle ortaya çıkmıştır. Halk bilimi araştırmacıları belli dönemlerde halk bilimine yönelme amaçlarına göre halk bilgisi ürünlerine yönelik ideolojik yaklaşımlara sahip olmuşlardır. Bu yaklaşımlar da halkın ve halk bilimcinin yaşadığı coğrafya, dönem ve siyasi duruma göre şekillenmiştir. Halk biliminin ideolojiyle ilişkisi dünyada, Türkiye’de ve Türk Dünyası’nın farklı bölgelerinde benzer bir şekilde ilerlemiş, halk bilgisi ürünleri millî kimliğin aracı olarak görülmüş, kimi zaman sansürlenmiş, kimi zaman da farklı ideolojilerin söylem araçlarına dönüşmüştür. Son tahlilde halk bilgisi ürünlerinin ideolojik yönünün değişkenliği ve halk bilimcinin içinde bulunduğu konum ve dünya görüşü halk bilimi ve ideoloji ilişkisini etkilemiştir. Halk biliminin ideolojiyle ilişkisi İran Türkleri tarafından İran’daki Azerbaycan Türklerinin halk bilgisi ürünlerine yönelik yapılan araştırmalarda kendini göstermektedir. İran Türkü araştırmacılar halk bilgisini millîlik, kimlik, geçmiş, tarih gibi kavramlarla algılamış ve açıklamışlardır. Bu çalışmada İran Türkü araştırmacıların bu algı ve söylemleri ideolojik halk bilimi kuramına göre açıklanmıştır. İlk olarak kuramsal yaklaşım hakkında bilgi verilip halk biliminin ideolojiyle ilişkisine değinilmiştir. Ardından İran Türklerinin milliyetçiliğine kısaca değinilip İran Türkü araştırmacılar tarafından yayımlanan çalışmalardaki millîlik vurguları tahlil edilmiştir.
İzmir’deki Kutsal Ziyaret Yerlerinde Dağ Kültünün İzleri
Authors: GÜZEY Gökçe Zeynep
Published: June 2022

Dağlar hem mitolojik anlatmalarda hem de semavi dinlerde kutsal kabul edilmiş ve önemli bir konuma sahip olmuştur. Dünyanın kozmik merkezi, vahyin ulaştığı yer veya tanrı ikametgâhı gibi işlevleri olduğuna inanılan dağlar özellikle yükseklikleri sebebiyle bütün toplumlarda yüceliğin sembolü olarak görülmektedir. Eski Türkler de yükseklikleri ve Gök Tanrı’ya yakınlığı dolayısıyla dağları yüce bir varlık olarak kabul etmişler ve ölen atalarını dağlara gömmüşlerdir. Atalar kültü ve dağ kültünün birleştiği bu uygulama zamanla veli kültüyle birleşerek dağ ve tepelerde bulunan türbe ve yatırları ziyaret geleneğine dönüşmüştür. Bu bağlamda çalışmada dağ kültünün farklı toplumlarda nasıl yer aldığına değinilmiş ve Türk toplumunda geçmişten günümüze dek benimsenmiş çeşitli inanç ve uygulamaların neler oldukları ve işlevleri ele alınmıştır. Anadolu’nun pek çok yerinde olduğu gibi İzmir’de de dağ ve tepelerde pek çok kutsal ziyaret yeri bulunmaktadır. Çalışmamız kapsamında İzmir’de dağ ve tepelerde bulunan kutsal ziyaret yerlerindeki inanç ve uygulamalar tespit edilmiş ve dağ kültüyle ilişkileri bağlamında incelenmiştir.
The Effectivity of Mind Mapping as Preparation Media for Selection of Advanced Studies to Higher Education
Authors: Fauzi Taty , Ela Valeri Adventa Tiffany Nathani
Published: June 2022

Mind mapping is a way to record obtained information by mapping the mind which done creatively to make it more effective and easier to  absorb by the brain. The purpose of this study is to determine the effectiveness of mind mapping media as a preparation for choosing a study to higher education. Current research is a quantitative pre-experimental research with a one group pre-test post-test design. The mind mapping used is a syllabus, a type of mind mapping that can provide an overview of what students know and learn. Media "Mind Map" consists of several dimensions, the concept is adjusted to the mind set of each.  Students make plans for career choices according to the direction of their talents, interests and personalities. The research population was class of XI students at UPT SMA Negeri 8 Banyuasin. Sampling was done purposively. The sample of this study was 31 students. Data collected was analysed using paired sample T-Test. The results showed that the mind mapping media was significantly effective used as a preparation techniques for the selection of college studies by students of SMA Negeri 8 Banyuasin. This shows that mind mapping is can be used by BK teachers/school counselors as a media in providing services to prepare for the selection of further studies to college.
Upaya Meningkatkan Hasil Belajar PAI Materi Adab Makan dan Minum melalui Model PembelajaranExample Non Example pada Peserta didik Kelas VIII-1 Semester II SMP Negeri 7 Birem Bayeun Tahun Pelajaran 2021-2022
Authors: Anita Lenny
Published: June 2022

Penelitian ini bertujuan untuk mengetahui peningkatan hasil belajar peserta didik setelah diterapkanmodelpembelajaran Example dan Non Examplemata pelajaran PAI MateriAdab Makan dan Minum pada peserta didik kelas VIII-1 SMP Negeri 7 Birem Bayeun Kabupaten Aceh Timur. Subjek penelitian adalah peserta didik kelas VIII-1 yang berjumlah 23 peserta didik yang terdiri dari 11 laki-laki dan 12 perempuan. Hasil penelitian menunjukkan bahwa melalui penerapanmodelExample dan Non Example, ternyata hasil belajar peserta didik meningkat pada tiap siklus.Penguasaan materi pada kondisi awal masih sangat rendah atau belum berhasil dengan baik. Dari 23jumlah peserta didik hanya 10 peserta didik (43%) yang mencapai Kriteria Ketuntasan Minimal (KKM) yang ditetapkan yaitu 75 dengan nilai rata-rata 70.8. Dari data hasil penelitian terungkap bahwa pada siklus I (satu) nilai rata-rata peserta didik berjumlah 76.8, ketuntasan belajar mencapai 73%.Pencapaian nilai tersebut menunjukkan peningkatan dari perolehan nilai pada kondisi awal. Pada siklus II (dua), nilai rata-rata peserta didik 91.3 dan ketuntasan belajar mencapai 92%.Kesimpulan dari penelitian ini adalah penerapan model pembelajaranExample dan Non Example dalam pembelajaran PAIMateri Adab Makan dan Minum dapat berdampak positif terhadap hasil belajar peserta didik kelas VIII-1 semester II tahun pelajaran 2021-2022 SMP Negeri 7 Birem Bayeun Kabupaten Aceh Timur.
Kompetensi Kepribadian Pendidik Menurut Muhammad ‘Athiyah Al-Abrasyi
Authors: Nurhanifah Nurhanifah
Published: June 2022

Penilitian ini merupakan kajian mengenai pemikiran seorang tokoh pendidikan Islam abad modern, yaitu Muhammad ‘Athiyah al-Abrasyi. Dalam hal ini penulis fokuskan tentang kepribadian pendidik. Permasalahan dalam penelitian ini adalah adanya kesenjangan antara konsep dengan realita yang terjadi saat ini. Dalam pendidikan Islam kompetensi kepribadian pendidik sangat diutamakan, karena kepribadian pendidik sangat mempengaruhi peranannya sebagai pendidik dan pembimbing. Dia mendidik dan membimbing para siswa tidak hanya dengan bahan yang ia sampaikan atau dengan metode penyampaian yang digunakannya, akan tetapi dengan seluruh kepribadiannya. Kenyataan saat ini perilaku atau sikap sebagian pendidik tidak mencerminkan seorang pendidik. Dalam hal ini peneliti merumuskan dua rumusan masalah yaitu: pertama: Bagaimana kompetensi kepribadian pendidik menurut Muhammad Athiyah Al-Abrasyi, kedua : Bagaimana aplikasi konsep kepribadian pendidik dalam pendidikan Islam. Untuk menjawab persoalan tersebut, metode yang digunakan adalah analisis deskriptif, yaitu dengan menganalisis data-data primer yang bersumber dari buku-buku yang ditulis langsung oleh Al-Abrasyi dan data-data sekunder yang bersumber dari buku-buku yang berkaitan dengan masalah yang dikaji.

Hasil penelitian menyebutkan bahwa ada delapan point pemikiran Muhammad Athiyah Al-Abrasyi tentang sifat-sifat kepribadian pendidik, yaitu (1) memiliki sifat  zuhud, (2) jiwa bersih, (3) ikhlas, (4) murah hati, (5) mulia dan berwibawa, (6) menjadi seorang bapak sebelum menjadi seorang guru, (7) memahami kemampuan, dan tabiat anak didik, dan (8) konsisten terhadap disiplin ilmu. Ide-ide tersebut masih sangat relevan dimiliki oleh pendidik dewasa ini.
Exploring English Teacher’s Teaching Strategies to Build Students’ Confidence to Practice Speaking English
Authors: Sri Rahayuningsih Tri Ilma Septiana,
Published: June 2022

This study aims to explore English teacher’s teaching strategies to build students’ confidence to practice speaking English. Case study was used as research method with data collection techniques through classroom observation and interviews. The results of this study showed that the three teaching strategies (partner work, modeled talk, and story reenactment) had significant implications for students’ confidence to practice speaking English. This was reflected in various attitudes of students, namely students’ persistence and desire to practice speaking English, a high sense of optimism and learning motivation, students’ open-mindedness to receive positive feedbacks from teacher, mental and physical health state, students’ ability to adapt to subject matter in order to achieve learning objectives, as well as encouragement to become autonomous learners.
The Implementation of Telling a Story and Storytelling Video on Students’ Motivation in Learning English
Authors: Uspayanti Rezky , Wahyuniar  , Suryadi Ray
Published: June 2022

This research aimed to find out the students’ motivation in learning English with the use of storytelling. The research was categorized as descriptive qualitative research. The research was done in Junior High School YAPIS Merauke which focused on eighth grade in 2021. The sample was chosen by using cluster random sampling. The sample focused on VIII. A which consisted of 21 students. The data was taken through observation using an observation checklist and interview.  The observation checklist included 20 statements and the interview included 8 questions related to motivation and storytelling. The result of observations and interviews showed that the students' motivation increased in learning English. For treatment step, students were motivated to ask and respond to the questions given. Thus, most students enjoy learning English through videos, students are interested in the teaching materials provided, and some students understand the material better by presenting using videos, concluding the material, and understanding by presenting the material through the zoom application. In addition, by telling stories, most students are more flexible in retelling the contents of the story and they are also motivated by using such a way.
An Analysis of Sentence Structure on A Game “Speak It Up!”: Systemic Functional Linguistic Study
Authors: Mega Fariziah N. H Nina Hayuningtyas,
Published: June 2022

A linguistic study about Systemic Functional linguistics commonly analyzes the text in an article, journal, magazine, novel, or headline in a newspaper. However, the texts from a board game will be examined in this study. This study analyzed the mood system and sentence structure. The theories that Halliday and Matthiessen, 1992 on mood Analysis and the theory of Oshima and Hogue, 2007 are used to analyze the sentence structure. This study was qualitative research. The data are the text in every flash card in the “Speak It Up!” board game. The results of the study are, first, the declarative sentence was dominantly found in the study. Second, the results showed that the simple sentence was dominantly found. That means the language in every flash card is appropriate for children because the language is easy to understand.
Investigation of compatibility of lipase with commercial detergents, surfactants and oxidizing agent as a detergent additive
Authors: GÜLMEZ Canan , ATAKİSİ Onur
Published: June 2022

Herein, it is aimed to perform some commercial liquid and solid laundry detergents, surfactants, oxidizing agent and pH/temperature studies of lipase from porcine pancreas. For this, optimum pH and temperatures of lipase were investigated in the range of pH 5-13 and temperature 30-80°C. The enzyme stability and compatibility were evaluated in the presence of 8 commercial laundry detergents, triton X-100, tween 20, tween 80, tergitol, sodium deoxycolate, sodium dodecyl sulfate and oxidizing agent H202 for 1 h at 40°C. Optimum pH and temperatures of enzymes was recorded pH 10 and 40°C, respectively. The findings revealed that lipase was generally stable in detergents and increased by more than 20% in liquid detergent 1 and 3 compared to the control. In addition, enzyme in triton X-100, tween 20, tween 80, and tergitol at 5%(v/v) concentration exhibited about 237%, 281%, 207% and 237% relative activities and activity at 5% H202(v/v) was inhibited by only about 13%. Consequently, pancreatic lipase can be a good choice in enzyme immobilization studies and various biotechnological purposes, especially in detergent applications.
Health worker anxiety on the covid-19 pandemic
Authors: Yuliani Hani
Published: June 2022

Tenaga kesehatan dalam melaksanakan tugas sebagai garda terdepan penanganan, pencegahan, dan perawatan pasien Covid-19 mengalami kecemasan karena disebabkan oleh beberapa faktor, salah satunya adalah ketersediaan alat pelindung diri. Penelitian ini dilakukan untuk mengetahui faktor-faktor yang paling mempengaruhi kecemasan petugas kesehatan dalam pencegahan Covid-19. Penelitian kuantitatif mengunakan kuesioner. Kuesioner dilakukan untuk menilai hubungan antara kecemasan dan usia, jenis kelamin, status keluarga, dan ketersediaan peralatan perlindungan pribadi. Masing-masing variabel independen dievaluasi menggunakan analisis uji regresi logistik untuk menetukan variabel yang paling berpengaruh. Hasil penelitian ini menunjukkan bahwa ada pengaruh. Dari hasil penelitian menunjukkan variabel ketersediaan alat pelindung diri yang paling berpengaruh terhadap kecemasan, yang artinya ketersediaan alat pelindung memilliki pengaruh terhadap kecemasan petugas kesehatan dalam upaya pencegahan Covid-19. Oleh karena itu, pemerintah harus memberikan perhatian yang sangat besar kepada petugas kesehatan yang berada digarda terdepan dalam pencegahan covid-19 terkait masalah kebutuhan alat pelindung diri sesuai protokol dari WHO.
The effect of hypertension on the health of pregnant women
Authors: Febriyani Pinandita
Published: June 2022

Hipertensi merupakan kondisi di mana aliran darah dari jantung yang mendorong dinding pembuluh darah (arteri) terjadi sangat kuat. Apabila ditemukannya tekanan darah tinggi mencapai 140/90 mmHg pada ibu hamil itu disebut hipertensi, sementara tekanan darah normal berada di bawah 120/80 mmHg. Hipertensi kehamilan salah satunya yaitu gangguan vascular yang terjadi pada saat kehamilan atau pada saat ibu postpartum. Tujuannya dari penelitian ini adalah untuk Mengetahui pada pengaruh pemberian kesehatan tentang hipertensi kehamilan terhadap tekanan darah ibu hamil. Jenis penelitian ini adalah penelitian kuantitatif menggunakan kuesioner. Kuesioner. Kuesioner ini dilakukan untuk mengetahui seberapa banyak orang yang terkena hipertensi pada kehamilan. Masing masing variable independen dievaluasi menggunakan analisis uji statistik untuk menentukan variabel yang paling berpengaruh, hasil penelitian ini menghasilkan bahwa adanya pengaruh hipertensi pada ibu hamil. Dari hasil penelitian jumlah sample penelitian ini adalah 15 responden, setiap masing masing tabel memiliki 15 responden.  Yang  artinya siapa yang berpengaruh pada hipertensi berdasarkan umur, riwayat, keturunan dan berat badan.  Oleh karena itu pemerintah harus menyediakan sarana dan prasana untuk pelayanan kesehatan pada ibu hamil supaya tidak terjadinya hipertensi kehamilan.