bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALYSIS OF THE MULTIDIMENSIONAL IMPACTS OF CORONA VIRUS DISEASE-2019 (COVID-19) PANDEMIC
Authors: Imran  , Sarir Saima , Khattak Mamoon Khan , Alam Intikhab , Zubair Seema
Published: February 2021

Purpose of the study: The twenty-first century has witnessed numerous impacts of the novel Corona Virus Disease-2019 (Covid-19) pandemic in different walks of life across the globe. The present study was designed to get a societal response regarding the multifaceted impacts of the Covid-19 pandemic on the lives of the populace of the study locale.

Methodology: The researchers selected a qualitative research approach for gaining in-depth insights on the issue at hand, wherein the data was collected from the potential participants through purposive sampling. The In-depth Interviews were conducted in district Swat which is one of the most affected districts from Covid-19. The In-depth Interview was used as a research instrument. The data was analyzed through thematic analysis.

Main Findings: The study findings revealed that human lives are severely affected by the Covid-19 pandemic. The routine life cycle was badly affected, and people were confined to their houses. Like other parts of the world, different sectors like education, health, rituals, social interaction, travel, and tourism are desperately affected. Resultantly, it drastically raised the socio-cultural and economic (especially unemployment) unrest situation in the region. Apart from these consequences, due to the Pandemic scenario, various socio-cultural rituals, events, and activities were at a halt due to the imposition of social distancing measures.

Applications of this study: The findings can be utilized/generalized in the normal course of life keeping in view the multidimensional impacts of the Covid-19 in the region. This study could be utilized for future research studies on the same issue.

Novelty/Originality of this study: Besides, the study has immense significance, such studies are novel in the region with such a distinct perspective that covers various aspects of the impacts of Covid-19 using a qualitative research approach.
Creative Game Design Training Requirements
Authors: Md Tap Raudyah , Mat Zin Nor Azan , Mohd Sarim Hafiz
Published: February 2021

Current technological advances have replaced traditional games with digital games, which indicate the rapid expansion of digital or video games. Creativity and innovation are essential elements for designing successful games. However, many games produced in the market failed due to a lack of creativity. There is no specific method of training creativity for game courses taught at higher learning institutions. Game designers also have no specific tool to help them create innovative games. Therefore, a systematic approach to train creative game designing skills is needed. This study aimed to model the requirements for creativity training in game design. Specifically, the study’s objectives are to identify creativity components for game design, develop a training model and validate it. The method used involved document analysis, interviews with game developers and game development educators, and the model’s construction by mapping and validating the model using the expert review technique. Results found that intelligence, thinking style, motivation, personality, experience, game genre, environment, storyline, goals, rules, community, and task distribution are requirements for creative game design. These elements were mapped and categorized as the model components - the designer, knowledge, creativity training in the game design process, method, and technology support. The model validation result using the Inter-Rater Reliability (IRR) coefficient is 0.90 (90 %), indicating excellent reliability as approved by the experts. The creativity training model will be implemented either in software or conventional training modules for designing creative games.
The Linear Model of Saccharomyces cerevisiae Turbidity in Liquid Media
Authors: Syauqi Ahmad , Santoso Hari , Hasana Siti Nurul
Published: February 2021

The study aims to investigate the relationship between the turbidity and density or the total suspended inorganic particles have been obtained many models. The live cells as the homogeneous particle are presumed to cause turbid in liquid media, and that has a linear relationship that can be utilized on the cell counting. The method for the term of clouded liquid form is the measurement based on the reflection and scattered of light, i.e., the turbidimetry. Knowledge attainment of microbial cell counting should be answered how many Nephelometric Turbidity Unit of the one cell. We work to obtain a turbidity model of cells in water-based media for the estimation of cell numbers. This paper aims to construct the computational structure on the turbidity modeling of Saccharomyces cerevisiae in pure water and to test a consistent model in liquid nutrients medium. The modeling was performed in systematized stages of the diagnostic-analysis-test; the regression assurances, the simulation of the lowest error, and the coefficient value itself of turbidity factors. We constructed an optimal analysis and diagnosis to create a computational structure of cell turbidity modeling. The measurement and stopping bivariate elimination of the simulation is a subsystem of the algorithm of obtaining and testing models. The first mathematics model is a standard curve on turbidimetry, and the second, turbidity mathematics model of cell growth in liquid nutrients medium. Both models have an equal coefficient of cell turbidity. The turbidity coefficient of cell growth time interval in the carbonyl diamide - potato dextrose broth is significant.
Implementation of Ergonomic-Based Work Procedures Reducing Complaints of Postural Stress and Work Fatigue Resulting in Increased Employee Income and Company Profit
Authors: Susihono Wahyu , Ariesca - , Lady Lovely
Published: February 2021

In general, the manufacturing industry relies more on machine-based processes. However, in certain activities, human labor is still needed due to the limitations of the machine function, as humans are faster than the machine. However, the activities using human muscle power are at risk of postural stress and early work fatigue. Work fatigue will affect work performance and productivity. The Standard Operating Procedures (SOP), which do not consider work attitude, will result in inconvenience at work and complaints on body parts and decreased performance. Besides, it also causes the inability to meet production targets so that employees cannot reach the maximum wage, and the company suffers losses. The redesign of the Standard Operating Procedures (SOP) is needed to make people as the center of all improvement activities. The design used in this study was treatment by subject design. The results showed that there were differences (p <0.05) between pre- and post-intervention results, Decreased postural stress complaints (moment of compressive force) in posture 1 (7.31%), posture 2 (23.09%), and posture 3 (4.74%). In comparison, the reduction of work fatigue was obtained from 81.26±10.85 to 70.87±3.68 (12.78%). After the implementation of ergonomic-based SOPs, there was an increase in employee income by 25.23% or (IDR 2,068,091/month) and an increase in company profits (IDR 51,702,286/month). The implementation of ergonomic-based SOPs was able to reduce postural stress, fatigue, and to increase employee income and company profits.
Multi Focus Image Fusion with Region-Center Based Kernel
Authors: Ismail Ismail , Hawari Kamarul
Published: February 2021

The usage of the camera is ubiquitous nowadays. It provides highly accurate information. Then, the camera helps humans to carry out their specific tasks correctly. Furthermore, the camera becomes an important tool to achieve accurate computation in some fields, such as in medical diagnostic, robotics, remote sensing, and others. On the other side, the camera also has a weakness to capture detailed information of the scene in one image. Many images are needed to obtain the focus information of all the scenes since the lens's limitation depth of field produces out of focus regions beyond the focused object. To make a settlement of that case, the researchers have found a multi-focus image fusion process. This process selects all detailed information from a sequence of images and fuses them into one focused image. Through this fused image, the user such as human and machine can read the focus information easier. Later, the researchers developed multi-focus image fusion methods which various advanced procedures and algorithms. Furthermore, the implementation of multi-focus image fusion in new fields multiplied in the last two decades ago. It was able to create an accurate and efficient method to build a fused image. The proposed method is a kind of a new method in multi-focus image fusion. It works according to the region-center based kernel. The kernel processes input image to predict the detailed information of the scene. This method is robust to prevent the unexpected effects and sensitivities of noise. The proposed method generates a fused image with high accuracy. Finally, the assessment is done based on mutual information and structure similarity.
Morphological Characters of Local Origin Durian (Durio zibethinus Murr.) Fruits and Seeds from Central Tapanuli Regency, North Sumatra, Indonesia
Authors: Sihaloho Martha Adiwaty , Hanafia Diana Sofia , Julianti Elisa , Basyuni Mohammad
Published: February 2021

Most of the diversity resource of durian was reported existing in Central Tapanuli. Due to local durian potential, germplasm needed to obtain information on the potential for superior cultivars. Here, we report our identification of morphology characteristics to the genetic relationship of local durian to determine the best durian. This research applied exploration study, interviews, descriptive, and qualitative identification. Research data were grouped based on similarity values using cluster analysis. Results showed that each local durian from Central Tapanuli had similar morphological characters, especially in the vegetative phase. Characters that show distant genetic relationships are fruit length, fruit diameter and seed weight. Other characters that depict close genetic relationship were the color of the fruit stalks and thorns' presence in the fruit. Based on morphological characteristics, a dendrogram was drawn and formed into three clusters. The present study shows that 75 accessions of durian fruit detected in each location have a relatively close similarity distance. That similarity between durian accessions is influenced by interactions between genetic factors and the environment. This result can also be used for durian conservation aimed at collections as genetic resources to benefit durian breeding in expanding diversity.
The Effect of Mixed Inoculum Addition Concentration and Fermentation Time on the Characteristics of Dry Cocoa Beans (Theobroma cacao L.)
Authors: Gunam Ida Bagus Wayan , Suryanto Andi , Ganda Putra G. P. , Kasa I Wayan , Permana I Dewa Gede Mayun , Sarjana Putu , Putra I Wayan Wisma Pradnyana , Takama Takeshi
Published: February 2021

The fermentation process has an important role in determining the quality of cocoa beans by forming taste, color, aroma, and appearance. The purpose of this study was to determine the effect of inoculum concentration and fermentation time on the characteristics of dry cocoa beans and determine the best conditions for both inoculum addition concentration and fermentation time to produce dry cocoa beans under Indonesian national standards. The research used completely randomized design with two factors; the first factor was the starter concentration consisting of controls (0%), 0.5%, 1%, 1.5%, and 2% (v/w). The second factor is the fermentation time, namely 1 day, 2 days, 3 days, 4 days, and 5 days. Treatment was repeated twice to get 50 units of the experiment. The results showed that the addition concentration of mixed inoculum (Saccharomyces cerevisiae and Lactobacillus plantarum) had a significant effect on changes in temperature and pH during fermentation, and it also had a significant effect on total unfermented beans. This study showed that time fermentation treatment had a very significant effect on all tests. The interaction of the two treatments had a significant effect on temperature changes during fermentation; it also significantly affected total unfermented beans. According to the Indonesian National Standard of cocoa beans, the best treatment, and the fastest fermentation time to produce the first quality standard (cut test) is a concentration of 1% mixed inoculum and fermentation in 3 days.
Development of Intelligent Parkinson Disease Detection System Based on Machine Learning Techniques Using Speech Signal
Authors: Thanoun Mohammed Younis , Yaseen Mohammad Tariq , Aleesa A.M.
Published: February 2021

Parkinson's disease is a brain condition that induces difficulty walking, standing, concentrating, trembling, and weakness. Parkinson's symptoms typically begin slowly and increase with time. Whenever the condition develops, individuals can experience trouble walking and communicating to others. Old people mostly tend to suffer from this disease and the number is expected to increase in the future. Machine learning (ML) techniques could help in the medical field in processing and analyzing data that offer good solutions in this field in terms of high accuracy and less required time compared to conventional methods. In this study, we proposed an enhanced methodology based on utilizing SMOTE to balance the dataset, due to the available dataset is imbalanced. then adopted extra tree classifier with k-fold technique after we balanced the dataset with SMOTE. we have achieved the best accuracy with respect to the classification accuracy in the literature, the obtained accuracy of our proposed model was higher than the used approaches in the related works. The new model for classifying the Parkinson's disease-dataset with class-imbalance data distribution achieved an accuracy of 96.52% by using our proposed method. The result shown that the dataset is lacked of balancing and it proves that the balancing in the dataset is important specially in medical classification. The impact of Optimal function selection, either automated by PCA or manually carried out, is clearly still being studied, and plays an essential role in improving the performance of machine learning.
The Effect of Clove Leaves Essential Oil Addition on Physicochemical and Sensory Characteristics of Milk Chocolate Bar
Authors: Praseptiangga Danar , Qomaruzzaman Agitya Renanda , Manuhara Godras Jati
Published: February 2021

As one of the most prominent cocoa and clove producers globally, Indonesia needs to develop a chocolate signature with unique characteristics due to the international cravings and high consumption of chocolate compared to other confectionery products. There are three main types of chocolate-based on their compositions: dark chocolate, milk chocolate, and white chocolate. However, milk chocolate has been discovered to be a much-preferred type due to its taste and flavor, but its innovative development is limited despite consumers' interest. Moreover, clove leaves have been less utilized despite their ability to be further processed to the essential oil, which possesses a potency of health benefits such as antioxidant activity due to its main bioactive compounds and its usefulness a flavor in food. This study was, therefore, aimed to determine the effects of adding several concentrations of clove leaves essential oil at 0.1% (F1), 0.2% (F2), and 0.3% (F3) on the physicochemical and sensory characteristics of milk chocolate bars as well as to define the best formula to achieve the optimum product. The results showed different trends at each concentration, while the best formula was recorded at the addition of 0.2% (F2) clove leaves essential oil to the milk chocolate bar, and the panelists further confirmed this.
Performance of a Solar Chimney for Cooling Building Façades under Different Heat Source Distributions in the Air Channel
Authors: Nguyen Y Quoc , Nguyen-Tan Sa , T. Pham Hong-Tham , Manh-Thuy Ai , Huynh-Nhat Trieu
Published: February 2021

Solar chimneys can be employed in buildings for natural ventilation, cooling, or heating of the building envelope, hence saving energy. In open double-skin facades, the air channel's thermal effects between the two layers of a faí§ade are similar to those in a solar chimney. Most studies about solar chimney in the literature have been focusing on heating one air channel wall. In this study, the performance of a solar chimney under different distributions of the heat source on both walls of the air channel was studied numerically by the Computational Fluid Dynamics method. Induced flow rate, temperature rise, and thermal efficiency of the chimney were investigated. Chimneys with practical dimensions with the height ranging from 0.5 m to 1.5 m and the gap-to-height ratio ranging from 0.025 to 0.15 were examined. The results showed that together with the chimney's dimensions, location, and distribution of the heat source on the channel's walls strongly affect the performance of the chimney. While heating the whole left wall induced more flowrate than heating the whole right wall, heating part of the left and the right walls resulted in peak performance at specific portions of the right wall heated from the bottom or the top of the channel. The peak values of the investigated parameters and the specific portions of the heated wall to achieve those peaks also changed with the channel's gap-to-height ratio.
Prediction of Land Cover and Land Surface Temperature in Kuta Selatan Sub-district, Bali Province
Authors: Ghani G A , Dimyati M , Damayanti A
Published: February 2021

Kuta Selatan Sub-district has experienced changes in land cover due to the development of urbanization in recent years. One of the main problems caused by the progress of this development is the Land Surface Temperature (LST), which can cause several issues such as adverse socio-economic and environmental impacts on the urban population. This study provides information for the future urban developer by considering the implications of future temperature growth for city dwellers' thermal comfort, which should assist in developing and implementing management strategies to reduce the effects of urban heat. We used Landsat 7 ETM + and Landsat 8 OLI-TIRS as data sources for spatial-temporal analysis of land cover and LST in Kuta Selatan Sub-district for 2006, 2015, 2020 and their predictions in 2033 using the CA-Markov model. The results showed that the built-up area and LST in 2033 experienced a significant increase in space and distribution in Jimbaran, Benoa, Tanjung Benoa, and the mean LST in Kuta Selatan Sub-district would increase, from 25.63°C in 2006 to 33.07°C in 2033. Built-up areas and bare soil produce higher LST than vegetation and water bodies. Thus, vegetation and water bodies play an essential role in LST mitigation. Based on these results, in the future, LST in Kuta Selatan Sub-district will be warmer compared to the present.
The Comparative of Morphological and Gravity Anomaly Lineaments in West Progo Mountains, Indonesia The Comparative of Morphological and Gravity Anomaly Lineaments in West Progo Mountains, Indonesia
Authors: Winarti - , Sukiyah Emi , Syafri Ildrem , Nur Andi Agus
Published: February 2021

In Yogyakarta Special Region, the West Progo Dome comprises the Nanggulan Formation and Old-Andesite Formation as the oldest formations. The Nanggulan Formation is composed of sedimentary rock with a density of 2.5 g/cm3, while the Old-Andesite Formation is composed of volcanic rock with a density of 2.7 g/cm3. Dome morphology is formed by vertical endogenous energy that radiates SE-NW, NE-SW, and E-W. This study aims to describe the correlation between the hill lineaments and gravity anomaly lineaments in the Nanggulan Formation and Old-Andesian Formation. Identification of the hill lineament uses Shuttle Radar Topography Mission (SRTM), while the gravity anomaly lineament uses gravity anomaly map. The standard used in the gravity survey concerning the American Society for Testing and Materials Standard (ASTM). The measurement system utilizes a looping distance of 200-350 meters. The lineaments of the hill and gravity anomaly show the same direction SE-NW. Both lineaments are calculated by fractal dimension (D) utilize the box-counting method. The result of overlaying the two lineaments' fractal dimension produces the same value and the different value. The same fractal dimension value (D=0.81-1.20) indicates whether the hill lineament and gravity anomaly lineament are correlated, while the different fractal dimension values indicate that the two lineaments are not correlated. The fractal dimension value is different due to small intrusions and faults.
Climatic Temperature Data Forecasting in Nineveh Governorate Using the Recurrent Neutral Network Method
Authors: Shukur Osamah Basheer , Ali Sabah Hussein , Saber Layali Adil
Published: February 2021

The forecasting of maximum climatic temperature is essential by using some statistical and intelligent techniques. Iraqi maximum temperature data collected monthly in several cities due to the Nineveh government will be studied in this paper. This study aims to forecast maximum climatic temperature as univariate time series and obtain the best results with minimum forecasting error. The non-linearity of climatic datasets is the main reason for data complexity, which needs to use some nonlinear methods for obtaining satisfactory results. In this paper, the maximum climatic temperature data will be forecasted by using traditional and intelligent methods. Single and double exponential smoothing (SES and DES) models have been used as traditional linear methods to forecast climatic temperature. The forecasting results reflected that the hybrid methods outperformed the traditional methods. The proposed hybrid methods can forecast climatic temperature in more accurate results. The hybrid methods SES-RNN and DES-RNN combine the SES and DES as a linear model with RNN as a nonlinear method to be one method that can handle any data, especially the nonlinear type. Recurrent neural network (RNN) as the nonlinear intelligent method is combined with SES and DES in hybrid SES-RNN and DES-RNN methods to forecast climatic temperature data and handle the non-linearity of datasets. The results reflect that the proposed hybrid methods outperformed the traditional methods for forecasting climatic temperature data. The proposed hybrid methods can be used to forecast climatic temperature in more accurate results.
Using Variation in Weighting Criteria and String Size Matching on Hybrid Model Schema Matching
Authors: Sutanta Edhy , Nurnawati Erna Kumalasari , Kumalasanti Rosalia Arum
Published: February 2021

Schema matching plays a vital role in the information integration process from heterogeneous databases. Generally, the process of schema matching is to receive input, which are two databases (one as the source and another as a target), to match similarity attributes, and generate output in the form of mapping the similarity of the attribute pairs that are declared suitable. Furthermore, the user will assess these attribute pairs to determine whether the results obtained are correct or still need to be revised. Our previous study developed a model and software prototype of hybrid schema matching using a combination of constraint-based method and instance-based method. In this study, the model improved by adding new features. This paper discusses the increasing effectiveness of adding the features to customize the weight of matching criteria and string sizes matching. The hybrid model's best effectiveness is obtained when the weight of instance is 0.286, the type is 0.238, width is 0.190, nullable is 0.143, unique is 0.095, and the domain is 0.048. The matching process using a bigger string size increases the model effectiveness with the highest precision of 97.66 when the string size interval is between (length-100) and (length+100). The best combination of weight and string size variation obtains 97.66% precision, a 99.90% recall, and an f-measure of 98.74%.
Estimation of the Shelf-Life of Corn Yoghurt Packaged in Polyethene Terephthalate Using the Accelerated Shelf-Life Method
Authors: Aini Nur , Sustriawan Budi , Muthmainah - , Maulina Melda Ruth , Prihananto Vincentius , Wijonarko Gunawan
Published: February 2021

Corn yoghurt is a new product that is being developed, so it needs to determine its shelf life based on its packaging.  Packaging that can be used for yoghurt is a bottle of polyethene terephthalate. The purpose of this study was to identify the kinetics of quality decrease of corn yoghurt packed in polyethene terephthalate bottles and estimate its shelf-life. The stages of establishing shelf-life included determining the quality change rate during storage, selecting reaction order, calculating activation energy, determining critical points, and calculating shelf-life. Corn yoghurt was packed in a polyethene terephthalate bottle, then stored at 25°C, 30°C, and 35°C. The analysis was done every seven days, from day-0 to day-21. Parameters analyzed were lactic acid bacteria content, pH, total acid, total dissolved solids, protein, and viscosity. The results showed that corn yoghurt is still acceptable by more than 50% panelists in 21 days of storage at a temperature of 35°C. Lactic acid bacteria, total dissolved solids, and protein content decreased during storage, while the pH, total acid, and viscosity increased. Corn yoghurt packed in polyethene terephthalate and stored at 5oC, 10oC, 15oC, and 20oC have 41, 40, 39, and 38 days of shelf-life, respectively. The implication is that yoghurt-corn packed with polyethene terephthalate has a better shelf life than existing yoghurt to be applied further.
Governmental propaganda in Mexican comics. The case of El Libro Vaquero.
Authors: Rubinstein Iván Facundo , Hernández Nieto Laura Nallely
Published: February 2021

This article aims to analyze comic books’ use as vehicles for political communication. Employing socio-semiotic methodology, we describe the discursive operations utilized to disseminate governmental propaganda (a particular type of political communication) in Mexican popular culture. Our corpus comprises institutionally commissioned comic inserts in one of the most iconic magazines of contemporary Mexico: El Libro Vaquero [‘The Cowboy Book’]. According to our findings, these comics tend to make citizens primarily responsible for implementing public policy, ignore the structural causes of the social problems they represent, reducing them to a sum of individual issues, and, finally, downplay state responsibilities while painting a positive image of the different State institutions. Consequently, we should take these comics as a type of institutional propaganda rather than as social marketing.
COMMEMORATION OF PROFESSOR VALENTINA DMITRIEVNA IVANOVA
Authors: Supilnikov A. A. , Yaremin B. I.
Published: February 2021

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PSYCHOLOGICAL EFFECTS OF PAKISTANI FILMS ON SPECTATORS WITH SPECIAL REFERENCE TO THE 21ST CENTURY FILMS
Authors:   Kunza Aqdas, Sultana Noreen
Published: February 2021

The aim of present paper is to investigate the psychological outcomes of 21st century Pakistani movies on viewers. The most important four outcomes are as following: (a) Violent behavior (b) Sensuality and Depression (c) Stereotypes (d) Misconception about Islam and Pakistani culture. By psychologically examining the theme of the film, we can take a look at the producer’s psychological methods and analyze the performance of the theme in the film. This paper is psychological analysis of five film themes and their carriage in productions. The films under analysis are Khuda Kay Liay (2007), Bol (2011), Bin Roye(2015), Malik (2016) Waar (2013). It is inferred from this study that these films have strong psychological impact on audience’s conscious and unconscious
Technology as the Key to Women’s Empowerment: A Scoping Review
Authors: Mackey April , Petrucka Pammla
Published: February 2021

Background: With women’s empowerment and information and communication technologies (ICTs) being the subject of global goals and discussions for many decades, there is a need for a clearer and deeper understanding about how the current gaps can be bridged. Despite ICTs having made communication and networking a possibility between and among people on a global scale, a digital divide has emerged. Research Question: To determine the global impact of information and communication technology on women’s empowerment. Methods: The authors report on a qualitative scoping review using the Arksey and O’Malley methodology. The search identified papers from ten databases, including Scopus, Embase, ABI Inform, Soc Index, Sociological Abstracts, Gender Studies, Springer Link, PsychInfo, Science Direct, and Academic Search Complete over the period of 2012-2018. Search criteria included articles that focused on women’s empowerment and utilized technologies as interventions. A total of 4481 articles were initially identified and a final total of 51 were charted and analyzed. Results: Technology played a variety of roles in supporting the development of women’s capacity and resources. Results demonstrated the use of ICT interventions in the following areas: outreach, education, lifestyle, prevention, health challenges, perceptions of barriers. However, despite this clear positive use of technology to support women in their daily lives, there was a lack of consensus regarding the definition and use of the term empowerment. The concept of empowerment was also inconsistently and poorly measured among individual studies which led to issues in measuring whether or not empowerment was achieved. Conclusions: This scoping review supports the use of current and emerging technologies to engage and empower women across a variety of contexts.
Knowledge, Attitudes and Ethical and Social Perspectives Towards Fecal Microbiota Transplantation (FMT) Among Jordanian Health Care Providers
Authors: Al-Bakri Amal G. , Akour Amal A. , Al-Delaimy Wael K.
Published: February 2021

Background: Fecal microbiota transplant (FMT) is a treatment modality that involves the introduction of stool from a healthy pre-screened donor into the gastrointestinal tract of a patient. It exerts its therapeutic effects by remodeling the gut microbiota and treating microbial dysbiosis-imbalance. FMT is not regulated in Jordan, and demarcating regulatory framework for FMT therapy in Jordan, an Islamic conservative country, might be faced with unique cultural, social, religious and ethical challenges. The aim is to assess knowledge, attitudes and perceptions of ethical and social issues of FMT among Jordanian healthcare professionals.Methods: An observational, cross-sectional study design was used to assess knowledge, attitudes and perceptions of ethical and social issues of FMT among 300 Jordanian healthcare professionals. Results: A large proportion (39%) thought that the safety and efficacy of this technique is limited and 29.3% thought there is no evidence to support its use. Among the choices to select to use FMT, almost all (95%) would only perform it in certain cases, if ethically justified, and 48.3% would use it due to treatment failure. And for reasons not to use it, 40% would not perform it due to concerns about medical litigation, followed by fear of infections (38 %), and lack knowledge of long safety and efficacy (31.3 %). Interestingly, all practitioners would perform this procedure through the lower gastrointestinal tract modality and the majority will protect patient’s confidentiality via double-blinding (43.3%). For a subset of participants (n=100), the cultural constrains that might affect the choice of performing FMT were to the donor's religion, and dietary intake and alcohol consumption.Conclusion: Our health care practitioners are reluctant to use the FMT modality due to religious and ethical reasons but would consider it if there was failure of other treatment and after taking into consideration many other social and ethical restrictions.
Mediatisierte Sozialisationsprozesse erforschen
Authors: Kammerl Rudolf , Lampert Claudia , Müller Jane , Rechlitz Marcel , Potzel Katrin
Published: February 2021

Mediatisierte Sozialisationsprozesse angemessen zu erfassen und zu analysieren, geht mit grossen Herausforderungen für die Forschung einher. Zum einen handelt es sich bei der Sozialisation um einen komplexen und langwierigen Prozess, an dem verschiedene Akteure beteiligt sind und der sich über verschiedene soziale Erfahrungsräume erstreckt. Zum anderen haben sich in der jüngeren Vergangenheit – neben anderen lebensweltlichen Voraussetzungen – die medialen Bedingungen, welche diesen Prozess rahmen, gravierend verändert und ausdifferenziert. Der vorliegende Beitrag erörtert, welche methodologischen Anforderungen die zunehmende Mediatisierung kindlicher Lebenswelten an die Sozialisationsforschung stellt. Er diskutiert diese vor dem Hintergrund eines oftmals einseitigen bzw. verkürzten Blickes der Forschung auf die Prozesse des Aufwachsens. Diesem stellt er den theoretischen Ansatz der kommunikativen Figurationen als Möglichkeit eines umfassenden Zugangs zu Sozialisation gegenüber. Implikationen und Herausforderungen des Ansatzes für die empirische Forschung werden anhand seiner konstituierenden Merkmale aufgezeigt. Dabei plädiert der Beitrag für den Einsatz qualitativer Längsschnittverfahren, um der Komplexität des Forschungsgegenstandes möglichst gerecht zu werden.
Migration Flow and Social Protection Policy: Case Study Indonesia – Malaysia
Authors: Wijayanti Febry , Turgel Irina
Published: February 2021

Nowadays, the rest of the world concentrates on increasing global economies through the development of technology and productivity growth. This intent creates uneven economic opportunities, inequality, and social disparity between developed, developing, and undeveloped countries. On the other hand, the discrepancy between them contributes to increasing the migration flow, particularly in ASEAN. Moreover, the population movement between Indonesia-Malaysia majority is a low-skilled migrant and brings several problems for both countries. Thus, the scheme of social protection for a migrant becomes a crucial matter to implement. Hence, this paper aims to acknowledge the migration flow and assess Indonesia and Malaysia's social protection schemes. The result shows that distance is an essential variable of Indonesia's worker migrant than Malaysia's wage rate. Hence, the discourse for stopping worker migrants, particularly domestic workers, is not a great solution. Notably, the government should create a proper MoU with Malaysia to protect worker migrants, particularly domestic workers.
SENTIMENT ANALYSIS ON PERCEPTION OF TOURISM IN DKI JAKARTA PROVINCE: CASE STUDY OF OLD CITY AND KEPULAUAN SERIBU
Authors: Winata Supriyadi , Pangestuty Farah
Published: February 2021

The purpose of this study is to determine the perceptions of tourists in two tourist destinations in DKI Jakarta which are included in the National Tourism Strategic Area (KSPN), namely Kota Tua and Kepulauan Seribu by conducting a sentiment analysis. The analysis was carried out on traveler reviews in the form of electronic word of mouth (eWOM) submitted on the tripadvisor site. The results of the study found that in general the sentiment of tourists towards these two destinations was positive, and each year there was an increasing trend. However, based on the exploration of sentiments that have negative connotations, it is known that the problems of odor, garbage and pollution are of great concern to tourists. Other aspects of concern to tourists are the need for better governance by local governments, and the need for standard facilities and services.
Comprehensive optimization of passenger trains operation based on an automated system for managing the profitability of passenger traffic
Authors: Venediktov G. L. , Kochetkov V. M.
Published: February 2021

The article is devoted to solving the problem of optimizing the tariff policy, which is relevant for the passenger complex, with the most rational use of the rolling stock. Principles of economic and mathematical modeling are presented in order to determine the optimal number of cars in passenger trains and prices for travel in a single calculation process called complex optimization. Developed models make it possible to form optimal train schemes in accordance with the predicted demand, balancing supply and demand for transportation, which, in turn, radically increases its economic efficiency. Simultaneously with finding the optimal schemes by the method of complex optimization, such fares are determined at which the balance of supply and demand is achieved with the maximum possible economic effect. The article discusses the analytical models of passenger demand, the principles of implementation of the complex optimization procedure, the problems of forecasting passenger demand and the features of calculating the forecast of demand for the example of train No. 17/18 “Karelia” on the Petrozavodsk—Moscow route, and also offers a solution to the problem of determining the optimal prices and train schemes. On the example of real data of the operation of this train, the effectiveness of the automated system for managing the profitability of passenger traffic, created on the basis of complex optimization algorithms, was evaluated. It is shown that the developed analytical models of passenger demand allow solving optimization problems that increase the efficiency of automated control systems for the economic indicators of the transportation process, and the multi-model forecasting system provides satisfactory accuracy with a high level of forecast detail. Due to the fact that the level of expenses for train journeys radically affects the result of optimization of the transportation process with variable train schemes, the adopted optimization criterion takes into account both income and transportation costs. The results of calculations are presented showing that the complex optimization procedure for the “Karelia” train could give a significant additional financial result.
Diabetes Engagement and Activation Platform for Implementation and Effectiveness of Automated Virtual Type 2 Diabetes Self-Management Education: Randomized Controlled Trial
Authors: Sabo Roy , Robins Jo , Lutz Stacy , Kashiri Paulette , Day Teresa , Webel Benjamin , Krist Alex
Published: February 2021

Background

Patients with type 2 diabetes require recommendations for self-management education and support.

Objective

In this study, we aim to design the Diabetes Engagement and Activation Platform (DEAP)—an automated patient education tool integrated into primary care workflow—and examine its implementation and effectiveness.

Methods

We invited patients aged 18-85 years with a hemoglobin A1c (HbA1c) level ≥8 to participate in a randomized controlled trial comparing DEAP with usual care. DEAP modules addressing type 2 diabetes self-management education and support domains were programmed into patient portals, each with self-guided educational readings, videos, and questions. Care teams received patient summaries and were alerted to patients with low confidence or requesting additional help. HbA1c, BMI, and systolic and diastolic blood pressure (DBP) were measured.

Results

Out of the 680 patients invited to participate, 337 (49.5%) agreed and were randomized. All of the 189 intervention patients accessed the first module, and 140 patients (74.1%) accessed all 9 modules. Postmodule knowledge and confidence scores were high. Only 18 patients requested additional help from the care team. BMI was lower for intervention patients than controls at 3 months (31.7 kg/m2 vs 32.1 kg/m2; P=.04) and 6 months (32.5 kg/m2 vs 33.0 kg/m2; P=.003); improvements were even greater for intervention patients completing at least one module. There were no differences in 3- or 6-month HbA1c or blood pressure levels in the intent-to-treat analysis. However, intervention patients completing at least one module compared with controls had a better HbA1c level (7.6% vs 8.2%; P=.03) and DBP (72.3 mm Hg vs 75.9 mm Hg; P=.01) at 3 months.

Conclusions

The findings of this study concluded that a significant proportion of patients will participate in an automated virtual diabetes self-management program embedded into patient portals and health systems show promise in helping patients manage their diabetes, weight, and blood pressure.

Trial Registration

ClinicalTrials.gov NCT02957721; https://clinicaltrials.gov/ct2/show/NCT02957721
Preparing Patients and Clinicians for Open Notes in Mental Health: Qualitative Inquiry of International Experts
Authors: Blease Charlotte , Torous John , Kharko Anna , DesRoches Catherine M , Harcourt Kendall , O'Neill Stephen , Salmi Liz , Wachenheim Deborah , Hägglund Maria
Published: February 2021

Background

In a growing number of countries worldwide, clinicians are sharing mental health notes, including psychiatry and psychotherapy notes, with patients.

Objective

The aim of this study is to solicit the views of experts on provider policies and patient and clinician training or guidance in relation to open notes in mental health care.

Methods

In August 2020, we conducted a web-based survey of international experts on the practice of sharing mental health notes. Experts were identified as informaticians, clinicians, chief medical information officers, patients, and patient advocates who have extensive research knowledge about or experience of providing access to or having access to mental health notes. This study undertook a qualitative descriptive analysis of experts’ written responses and opinions (comments) to open-ended questions on training clinicians, patient guidance, and suggested policy regulations.

Results

A total of 70 of 92 (76%) experts from 6 countries responded. We identified four major themes related to opening mental health notes to patients: the need for clarity about provider policies on exemptions, providing patients with basic information about open notes, clinician training in writing mental health notes, and managing patient-clinician disagreement about mental health notes.

Conclusions

This study provides timely information on policy and training recommendations derived from a wide range of international experts on how to prepare clinicians and patients for open notes in mental health. The results of this study point to the need for further refinement of exemption policies in relation to sharing mental health notes, guidance for patients, and curricular changes for students and clinicians as well as improvements aimed at enhancing patient and clinician-friendly portal design.
Effect of extracellular matrix and dental pulp stem cells on bone regeneration with 3D printed PLA/HA composite scaffolds
Authors:   Vilnius University, Zalgirio g. 117, LT- 08217, Vilnius, Lithuania, Gendviliene I , Simoliunas E , Alksne M , Dibart S , Jasiuniene E , Cicenas V , Jacobs R , Bukelskiene V , Rutkunas V
Published: February 2021

The demand for bone grafting procedures in various fields of medicine is increasing. Existing substitutes in clinical practice do not meet all the criteria required for an ideal bone scaffold, so new materials are being sought. This study evaluated bone regeneration using a critical-size Wistar rat’s calvarial defect model. 12 male and 12 female rats were evenly divided into 3 groups: 1. Negative and positive (Geistlich Bio-Oss®) controls; 2. polylactic acid (PLA) and PLA/hydroxyapatite (HA); 3. PLA/HA cellularised with dental pulp stem cells (DPSC) and PLA/HA extracellular matrix (ECM) scaffolds. PLA/HA filament was created using hot-melt extrusion equipment. All scaffolds were fabricated using a 3D printer. DPSC were isolated from the incisors of adult Wistar rats. The defects were evaluated by micro-computed tomography (µCT) and histology, 8 weeks after surgery. µCT revealed that the Bio-Oss group generated 1.49 mm3 and PLA/HA ECM 1.495 mm3 more bone volume than the negative control. Histology showed a statistically significant difference between negative control and both (Bio-Oss and PLA/HA ECM) groups in rats of both genders. Moreover, histology showed gender-specific differences in all experimental groups and a statistically significant difference between cellularised PLA/HA and PLA/HA ECM groups in female rats. Qualitative histology showed the pronounced inflammation reaction during biodegradation in the PLA group. In conclusion, the bone-forming ability was comparable between the Bio-Oss and PLA/HA ECM scaffolds. Further research is needed to analyse the effects of ECM and PLA/HA ratio on osteoregeneration.
Further mechanistic evidence against luminal esophageal temperature monitoring?
Authors: Daniels James , Kulstad Erik
Published: February 2021

We congratulate Kar et al. on their elegant study evaluating ex-vivo
temperature profiles and the resulting thermal injury formation on the
epiesophageal surface during radiofrequency (RF) ablation. In addition
to being the first study to detail temperature profiles inclusive of the
epiesophageal surface during RF ablation, we believe that the results
add further concern to the use of temperature sensing technology in the
quest to reduce esophageal injury. Three recent clinical trials have
evaluated the efficacy of luminal esophageal temperature (LET)
monitoring and found either no benefits, or signals of harm. On the
other hand, two pilot RCTs suggest benefits of active cooling, and a
large RCT, the IMPACT study, further confirms this benefit by finding an
83% reduction in esophageal lesion formation using an active cooling
device. With no degradation in ablation efficacy, as well as a
reduction/elimination of the need for fluoroscopy and reports of
shortened procedure time with active cooling technology, the data of Kar
et al., combined with growing clinical data, suggest that continued use
of LET monitoring may be unjustified.
Viral epidemiology and SARS-CoV-2 coinfections with other respiratory viruses during the first COVID-19 wave in Paris, France
Authors: BOUZID Donia , hingrat Quentin Le , Choquet Christophe , Laurent odile , Lescure Xavier , Timsit Jean François , Fidouh Nadhira Houhou , Casalino Enrique , Lucet Jean Christophe , Descamps Diane , Visseaux Benoit
Published: February 2021

Abstract: Objectives: Our work assessed the prevalence of co-infections
in patients with SARS-CoV-2. Methods: All patients hospitalized in a
Parisian hospital during the first wave of COVID-19 were tested by mPCR
if they presented ILI symptoms. Results: A total of 806 patients (21%)
were positive for SARS-CoV-2, 755 (20%) were positive for other
respiratory viruses. Among the SARS-CoV-2 positive patients, 49 (6%)
had viral co-infections. They presented similar age, symptoms, except
for fever (p=0.013) and headaches (p=0.048), than single SARS-CoV-2
infections. Conclusions: SARS-CoV-2 infected patients presenting viral
co-infections had similar clinical characteristics and prognosis than
patients solely infected with SARS-CoV-2.