bluuebunny/crossref_metadata_2025 huggingface dataset:
Daily abnormal returns and price effects in the “passion investments” market
Authors: Plastun Alex , Havrylina Ahniia , Sliusareva Liudmyla , Strochenko Nataliya , Zhmaylova Olga
Published: November 2021

This paper explores price effects in the “passion investments” market after days with abnormal returns. To do this, daily prices for stamps and diamonds over the periods 1999–2021 and 1989–2021 are analyzed. The following hypothesis is tested: One-day abnormal returns create stable patterns in price behavior on the next day. Statistic tests (t-test, ANOVA, Mann–Whitney U test, modified cumulative abnormal returns approach, regression analysis with dummy variables) confirm the presence of price patterns related to extreme returns: price fluctuations on the day after extreme returns are higher than returns on “normal” days. On the days after positive abnormal returns, the momentum effect is detected. Contrarian effect is typical for the days after negative abnormal returns. A trading strategy based on detected price effects showed the presence of exploitable profit opportunities. Results of this paper provide additional pieces of evidence in favor of inconsistencies between the efficient market hypothesis and practice and can be used by traders to generate extra profits in the “passion investments” market.
Acknowledgment The authors gratefully acknowledge financial support from the Ministry of Education and Science of Ukraine (0121U100473).
Detecção de Risco em Ambiente Hospitalar a partir da Informação do Estado do Canal Sem-Fio
Authors: Chagas Amanda de Oliveira Sabino , Lovisolo Lisandro , Tcheou Michel
Published: November 2021

A Informação do Estado do Canal (CSI – Channel State Information}) está disponível em redes sem-fio IEEE 802.11. A CSI traz informação sobre o estado do canal/ambiente de propagação: as amplitudes e fases das subportadoras OFDM. Neste trabalho, empregamos a CSI para detecção de risco de queda em ambientes hospitalares. A CSI é empregado para detectar alterações no ambiente de propagação do sinal sem fio. Descrevemos três detectores a partir desse princípio não-intrusivo. Eles empregam classificadores distintos, baseados em kNN (K-Nearest Neighbor), PCA (Principal Component Analysis) e Autoencoder. Obtêm-se no limiar de corte escolhido para cada detector acurácias iguais a 88,33% para o kNN, 79,08% para o PCA e 82,42% para o Autoencoder.
In Vitro Antitumor Evaluation of Acrylic Acid Derivatives Bearing Quinolinone Moiety as Novel Anticancer Agents
Authors: Zaki Islam , Eid Sarah A. , Elghareb Mohamed S. , Abas Al-Shimaa M. , Mersal Gaber , Mohammed Faten Z.
Published: November 2021

Background:

Due to the emergence of resistance to available anticancer agents, the demand for new cytotoxic
agents has grown.

Objective:

This study aims at synthesis and cytotoxic evaluation of new acrylic acid derivatives bearing quinolinone
and halogenated quinolinone derivatives against three cancer cell lines.

Methods:

New acrylic acid derivatives bearing quinolinone and halogenated quinolinone moieties were synthesized
and screened for their cytotoxic activity against breast MCF-7, liver HepG2, and colon HCT-116 cancer cell lines.

Results:

Molecules 3 and 8 showed the most potent cytotoxic activity against HCT-116. DNA flow cytometry assay
showed cell cycle arrest at the G1 phase and cellular apoptosis. Moreover, molecules 3 and 8 showed cyclin-dependent
kinase 2 (CDK2) inhibitory activity compared to the untreated control sample.

Conclusion:

Acrylic acid derivatives bearing quinolinone and halogenated quinolinone moieties represent an important
core and could be used as a lead for further development of drug compounds in order to achieve promising therapeutic
results.
Object detection and used car price predicting analysis system (UCPAS) using machine learning technique
Authors: Yadav Anu , Kumar Ela , Yadav Piyush Kumar
Published: November 2021

The highly interesting research area that noticed in the last few years is object detection and find out the prediction based on the features that can be benefited to consumers and the industry. In this paper, we understand the concept of object detection like the car detection, to look into the price of a second-hand car using automatic machine learning methods. We also understand the concept of object detection categories. Nowadays, the most challenging task is to determine what is the listed price of a used car on the market, Possibility of various factors that can drive a used car price. The main objective of this paper is to develop machine learning models which make it possible to accurately predict the price of a second-hand car according to its parameter or characteristics. In this paper, implementation techniques and evaluation methods are used on a Car dataset consisting of the selling prices of various models of  car across different cities of India. The outcome of this experiment shows that clustering with linear regression and Random Forest model yield the best accuracy outcome. The machine learning model produces a satisfactory result within a short duration of time compared to the aforementioned self.
PTPN14 Mutations and Cervical Cancer
Authors: LEHRER STEVEN , RHEINSTEIN PETER H.
Published: November 2021

Background/Aim: It was recently shown that rare germline loss-of-function variants in the tyrosine-protein phosphatase non-receptor type 14 (PTPN14) gene conferred substantial risk of basal cell carcinoma (BCC). A follow-up investigation of 24 cancers and three benign tumor types showed that PTPN14 loss-of-function variants were associated with high risk of cervical cancer and early age at diagnosis. We used the Cancer Genome Atlas (TCGA) to further evaluate the PTPN14 – cervical cancer association. Materials and Methods: We analyzed the Genomic Data Commons (GDC) TCGA Cervical Cancer (CESC) data set. We used cBioPortal for Cancer Genomics to access data in TCGA. cBioPortal provides visualization, analysis and download options for large-scale cancer genomic data sets. We also accessed TCGA data with the University of California Santa Cruz (UCSC) Xena Browser. UCSC Xena allows users to explore functional genomic data sets for assessing correlations between genomic and/or phenotypic variables. Results: Ten patients with PTPN14 mutations had significantly better survival than 266 patients without PTPN14 mutations (p=0.05 log rank test). In the Human Protein Atlas, low expression of PTPN14 in 85 TCGA cervical cancer specimens was associated with better survival than high expression in 206 cervical cancer specimens. Conclusion: In general, factors that affect the risk of a cancer have the same effect on prognosis. For example, history of allergy reduces risk of malignant brain tumors and improves prognosis. However, this relationship is not the case for PTPN14. We conclude that in TCGA cervical cancer specimens, PTPN14 mutation is a favorable prognostic factor. However, germline variants of PTPN14 confer a worse prognosis. Further studies of the specific mutations would be worthwhile.
Combination of Performance Status and Lymphocyte-monocyte Ratio as a Novel Prognostic Marker for Patients With Recurrent/Metastatic Squamous Cell Carcinoma of the Head and Neck
Authors: AOYAMA JUN , KUWAHARA TATSU , SANO DAISUKE , FUJISAWA TAKUO , TOKUHISA MOTOHIKO , SHIMIZU MINAKI , SAKAGAMI TOMOFUMI , ICHIKAWA YASUSHI , IWAI HIROSHI , ORIDATE NOBUHIKO
Published: November 2021

Background/Aim: We previously presented the real-world treatment outcomes of the EXTREME regimen as a first-line therapy for recurrent/metastatic squamous cell carcinoma of the head and neck (R/M SCCHN). This study aimed to evaluate the prognostic significance of pretreatment inflammatory biomarkers in patients with R/M-SCCHN treated with the EXTREME regimen as first-line therapy as a supplementary study of our previous retrospective cohort study. Patients and Methods: The treatment outcomes of 100 patients with R/M-SCCHN treated with the EXTREME regimen as first-line therapy were compared according to patient characteristics and pretreatment inflammatory biomarkers using a Cox proportional hazards regression model. Survival was evaluated using the Kaplan-Meier method. Results: In multivariate analysis, a lymphocyte-to-monocyte ratio (LMR) of <1.944 and Eastern Cooperative Oncology Group (ECOG) performance status (PS) of 1 were independent risk factors for poor overall and progression-free survival. Furthermore, we found that the PS-LMR score based on the ECOG PS and LMR could stratify patients to extract the poor prognostic characteristics of R/M-SCCHN patients treated with the EXTREME regimen as first-line therapy. Conclusion: Further evaluation is warranted to study the reliability and applicability of this novel scoring system in predicting the prognosis of R/M-SCCHN patients in the future.
A Large Thymoma Resected via Left Antero-lateral Thoracotomy
Authors: SAVU CORNEL , MELINTE ALEXANDRU , GIBU ALEXANDRU , HALLABRIN IONUT , ZAFIU ALEXANDRU , TUDOR VASILICA-ADRIAN , DIACONU CAMELIA , GHERGHICEANU FLORENTINA , FURTUNESCU FLORENTINA , RADAVOI DANIEL , BALESCU IRINA , BACALBASA NICOLAE
Published: November 2021

Background/Aim: Thymomas are a rare type of mediastinal tumors with a slow growth rate. Because of this, they are well tolerated and patients usually present with large masses, which can extend in either of the thoracic cavities. The surgical approach for such tumors is dictated by the size and localization of the mass. Case Report: We present the case of a patient with a large thymoma, resected through surgery performed by left antero-lateral thoracotomy. The patient presented in our clinic with a persistent cough, dyspnea, chest pain and tightness. Standard thoracic X-ray revealed a bilateral increase in size of the mediastinal shadow, mainly on the left side, with well-defined margins and subcostal intensity. A thoracic computed tomography (CT) scan discovered a tumoral mass within the antero-superior mediastinum, with compression of the mediastinal organs; presentation being suggestive for a thymoma. Surgery was performed, removing a 15/13/10 cm thymoma with a weight of 1126 g. Pathological examination as well as immunohistochemistry confirmed our diagnosis of type AB thymoma, stage I Masaoka–Koga. Conclusion: In conclusion, surgical treatment remains the main therapeutic option in thymomas, but it is often difficult to perform due to tumor size and local invasion. However, even in large thymomas of stages I and II, surgery can be performed using an antero-lateral thoracotomy.
Risk of Outlet Obstruction Associated With Defunctioning Loop Ileostomy in Rectal Cancer Surgery
Authors: ENOMOTO HIROYA , SUWA KATSUHITO , TAKEUCHI NANA , HANNYA YOSHITO , TSUKAZAKI YUHEI , USHIGOME TAKURO , OKAMOTO TOMOYOSHI , ETO KEN
Published: November 2021

Background: The outlet obstruction (OO) rate is 5.4-18.4% after defunctioning ileostomy (DI) following rectal cancer resection to reduce the incidence and severity of anastomotic leakage; OO affects a patient’s quality of life and prolongs hospitalization. Patients and Methods: A retrospective analysis was performed of patients who underwent anterior rectal resection and DI for rectal cancer. Results: Among 100 patients undergoing anterior rectal resection with DI for rectal cancer, 28 (28%) developed OO. Anastomotic leakage and a rectus abdominis muscle thickness ≥10 mm on preoperative computed tomography were significantly associated with the risk of OO in univariate analysis. Multivariate analysis also demonstrated that anastomotic leakage (odds ratio=4.320, 95% confidence interval=1.280-14.60, p=0.019) and rectus abdominis muscle thickness ≥10 mm (odds ratio=3.710, 95% confidence intervaI=1.280-10.70, p=0.016) were significantly risk factors for OO. Conclusion: When OO is observed, an anastomotic leakage should be suspected, especially if there is a high rectus abdominis muscle thickness.
Artificial Intelligence in Rehabilitation Targeting the Participation of Children and Youth With Disabilities: Scoping Review
Authors: Kaelin Vera C , Valizadeh Mina , Salgado Zurisadai , Parde Natalie , Khetani Mary A
Published: November 2021

Background

In the last decade, there has been a rapid increase in research on the use of artificial intelligence (AI) to improve child and youth participation in daily life activities, which is a key rehabilitation outcome. However, existing reviews place variable focus on participation, are narrow in scope, and are restricted to select diagnoses, hindering interpretability regarding the existing scope of AI applications that target the participation of children and youth in a pediatric rehabilitation setting.

Objective

The aim of this scoping review is to examine how AI is integrated into pediatric rehabilitation interventions targeting the participation of children and youth with disabilities or other diagnosed health conditions in valued activities.

Methods

We conducted a comprehensive literature search using established Applied Health Sciences and Computer Science databases. Two independent researchers screened and selected the studies based on a systematic procedure. Inclusion criteria were as follows: participation was an explicit study aim or outcome or the targeted focus of the AI application; AI was applied as part of the provided and tested intervention; children or youth with a disability or other diagnosed health conditions were the focus of either the study or AI application or both; and the study was published in English. Data were mapped according to the types of AI, the mode of delivery, the type of personalization, and whether the intervention addressed individual goal-setting.

Results

The literature search identified 3029 documents, of which 94 met the inclusion criteria. Most of the included studies used multiple applications of AI with the highest prevalence of robotics (72/94, 77%) and human-machine interaction (51/94, 54%). Regarding mode of delivery, most of the included studies described an intervention delivered in-person (84/94, 89%), and only 11% (10/94) were delivered remotely. Most interventions were tailored to groups of individuals (93/94, 99%). Only 1% (1/94) of interventions was tailored to patients’ individually reported participation needs, and only one intervention (1/94, 1%) described individual goal-setting as part of their therapy process or intervention planning.

Conclusions

There is an increasing amount of research on interventions using AI to target the participation of children and youth with disabilities or other diagnosed health conditions, supporting the potential of using AI in pediatric rehabilitation. On the basis of our results, 3 major gaps for further research and development were identified: a lack of remotely delivered participation-focused interventions using AI; a lack of individual goal-setting integrated in interventions; and a lack of interventions tailored to individually reported participation needs of children, youth, or families.
Using Intervention Mapping to Develop a Decision Support System–Based Smartphone App (selfBACK) to Support Self-management of Nonspecific Low Back Pain: Development and Usability Study
Authors: Svendsen Malene Jagd , Sandal Louise Fleng , Kjær Per , Nicholl Barbara I , Cooper Kay , Mair Frances , Hartvigsen Jan , Stochkendahl Mette Jensen , Søgaard Karen , Mork Paul Jarle , Rasmussen Charlotte
Published: November 2021

Background

International guidelines consistently endorse the promotion of self-management for people with low back pain (LBP); however, implementation of these guidelines remains a challenge. Digital health interventions, such as those that can be provided by smartphone apps, have been proposed as a promising mode of supporting self-management in people with chronic conditions, including LBP. However, the evidence base for digital health interventions to support self-management of LBP is weak, and detailed descriptions and documentation of the interventions are lacking. Structured intervention mapping (IM) constitutes a 6-step process that can be used to guide the development of complex interventions.

Objective

The aim of this paper is to describe the IM process for designing and creating an app-based intervention designed to support self-management of nonspecific LBP to reduce pain-related disability.

Methods

The first 5 steps of the IM process were systematically applied. The core processes included literature reviews, brainstorming and group discussions, and the inclusion of stakeholders and representatives from the target population. Over a period of >2 years, the intervention content and the technical features of delivery were created, tested, and revised through user tests, feasibility studies, and a pilot study.

Results

A behavioral outcome was identified as a proxy for reaching the overall program goal, that is, increased use of evidence-based self-management strategies. Physical exercises, education, and physical activity were the main components of the self-management intervention and were designed and produced to be delivered via a smartphone app. All intervention content was theoretically underpinned by the behavior change theory and the normalization process theory.

Conclusions

We describe a detailed example of the application of the IM approach for the development of a theory-driven, complex, and digital intervention designed to support self-management of LBP. This description provides transparency in the developmental process of the intervention and can be a possible blueprint for designing and creating future digital health interventions for self-management.
Technostress and Digital Competence Among Health Professionals in Swiss Psychiatric Hospitals: Cross-sectional Study
Authors: Golz Christoph , Peter Karin Anne , Müller Thomas Jörg , Mutschler Jochen , Zwakhalen Sandra M G , Hahn Sabine
Published: November 2021

Background

Psychiatric hospitals are becoming increasingly digitized because of the disruptive rise in technical possibilities. This digitization leads to new tasks and demands for health professionals, which can have an impact on technostress. It is unclear whether digital competence reduces technostress and how technostress affects health professionals’ mental and physical health.

Objective

This study aims to assess the association between digital competence and technostress, considering individual characteristics and the association between technostress and long-term consequences for health professionals.

Methods

Cross-sectional data from 3 Swiss psychiatric hospitals were analyzed using multiple linear regression. The dependent variables for the models were digital competence, technostress, and long-term consequences (intention to leave the organization or the profession, burnout symptoms, job satisfaction, general health status, quality of sleep, headaches, and work ability). One model was calculated for each long-term consequence. The mean scores for technostress and digital competence could range between 0 (fully disagree) and 4 (fully agree), where a high value for technostress indicated high technostress and a high value for digital competence indicated high digital competence.

Results

The sample comprised 493 health professionals in psychiatric hospitals. They rated their technostress as moderate (mean 1.30, SD 0.55) and their digital competence as high (mean 2.89, SD 0.73). Digital competence was found to be significantly associated with technostress (β=−.20; P<.001). Among the individual characteristics, age (β=.004; P=.03) and profession were significantly associated with both digital competence and technostress. Technostress is a relevant predictor of burnout symptoms (β=10.32; P<.001), job satisfaction (β=−6.08; P<.001), intention to leave the profession (β=4.53; P=.002), organization (β=7.68; P<.001), general health status (β=−4.47; P<.001), quality of sleep (β=−5.87; P<.001), headaches (β=6.58; P<.001), and work ability (β=−1.40; P<.001).

Conclusions

Physicians and nurses who have more interaction with digital technologies rate their technostress higher and their digital competence lower than those in other professions. Health professionals with low interaction with digital technologies appear to overestimate their digital competence. With increasing digitization in psychiatric hospitals, an increase in the relevance of this topic is expected. Educational organizations and psychiatric hospitals should proactively promote the digital competence of health professionals to manage expected disruptive changes.
User Experience Model using Motivation and Usability Factors in Serious Games for Rehabilitation: A Case Study (Preprint)
Authors: Safian Nur Nafishah , Fabil Norasikin , Ismail Waidah , Mohd Noor Shah Nurul Fathihin , Bahari Mahadi , Hendradi Rimuljo
Published: November 2021

BACKGROUND

Rehabilitation is a term used to describe a range of responses in disabilities that improve quality of life. Nowadays, one of the new treatments in rehabilitation is assistive technology by using serious games. This treatment can be a success with sophisticated technologies such as simulators, robotics, and virtual reality

OBJECTIVE

Meanwhile, motivation and usability are two important factors that focus on user experience. Previous studies suggested that attention, relevance, confidence, and satisfaction for motivation and ease of use, learnability, memorability, and satisfaction for usability are the important attributes for user experience in serious games. The first stage of identifying the user experience model is by exploring the motivation and usability factors that influence serious games for rehabilitation. There are eight relationships that come from eight different attributes in motivation and usability factors of user experience in serious games.

METHODS

This research was held at one rehabilitation center in Malaysia that uses serious games as the assistive technology tool for exercises and a total of forty-five respondents have answered the finalized questionnaires at the end of the study. PLS-SEM is the method chosen for this research. SmartPLS software is used to calculate and analyze the data and relationships through Composite Reliability, Cronbach’s Alpha, Average Variance Extraction (AVE) for convergent validity, and Fornell-Larcker criterion for discriminant validity.

RESULTS

As a result, the study shows there are only two negative relationships were formed based on the intersection of attributes from motivation and usability factors where ease of use that related to relevance and satisfaction in usability that connected to satisfaction in motivation

CONCLUSIONS

Finally, a model of new user experience through motivation and satisfaction factors is developed for serious games.
Drug_SNSMiner: A New Pharmacovigilance Pipeline for Detection of Adverse Drug Reaction Using Social Network Service (SNS) Data (Preprint)
Authors: Lee Seunghee , Woo Hyekyung , Lee Chung Chun , Kim Gyeongmin , Kim Jong-Yeup , Lee Suehyun
Published: November 2021

BACKGROUND

Studies are being conducted in which social media data are used as an auxiliary method of adverse drug reaction (ADR) monitoring. At online cafes and in blogs, individuals with shared interests gather to form relationships and exchange information and opinions. Shared data include the side effects of various drugs.

OBJECTIVE

The aim of this study was to determine whether social network service (SNS) are useful sources of drug side effects information. Here, we proposed a method of utilizing social network service data to plot the known side effects of geriatric drugs in a dosing map.

METHODS

We acquired data by selecting social channels suitable as pharmacovigilance targets, defined a lexicon of the drugs to be analyzed, and mapped the acquired data based on a standard drug database. We extracted the lexicons and defined the side effects associated with each target drug. We updated the lexicons by searching and adding the stop words lexicon for text preprocessing. We used the available refined data to understand medication and side effects patterns and obtained social posts related to known side effects.

RESULTS

We defined three lexicons (drugs, side effects, and stop words) for the geriatric drug ketoprofen, secured postings using the data collection method we devised, and derived side effects information. We mapped the side effects words to the SOC (system organ class) of MedDRA (Medical Dictionary for Regulatory Activities) and compared them against KAERS (Korea Adverse Event Reporting System). We confirmed that well-known side effects may be obtained by utilizing social network service data. Based on these results, we proposed a pharmacovigilance pipeline that can be extended to unknown side effects.

CONCLUSIONS

We proposed a new analysis pipeline, Drug_SNSMiner, for monitoring drug side effects by using social network service data and evaluated it on the prescription of Ketoprofen. We confirmed that the side effects may be monitored from the consumer’s perspective based on the social network service data and using only drug information. social network service data were deemed good sources of information to determine ADRs and obtain other complementary data. We established that these learning data are invaluable for AI requiring the acquisition of ADR posts on efficacious drugs.

CLINICALTRIAL
LISTENING COMPREHENSION PROBLEMS AMONG EFL VOCATIONAL SCHOOL STUDENTS
Authors: S. Nurhandayani , Nur Fadila Eliza , Ahmad Zuhad
Published: November 2021

Listening to a conversation, dialogue, or a story in foreign language is an activity which needs effort to understand the content. There are several aspects that should be considered to do accordingly. This research investigated the main problems of listening comprehension in English as a foreign language faced by vocational high school students. Thirty students of the first grade participated in the research. The quantitative descriptive and qualitative methodologies were applied in this study with questionnaires and interviews used as instruments for collecting data. The findings show that the foremost problems of understanding the spoken text are the unfamiliar accents and topics. The other problems also have contribution to the students' comprehension. They are noises, poor quality equipment, long spoken text, and the high speed of delivery. The findings of this study is expected to provide valuable information for English teachers regarding the listening difficulties faced by English as a foreign language students, which enable them to help students to improve their listening skills.
CONTRIBUTION OF SELF-REFLECTION IN PORTFOLIO TOWARD STUDENTS' WRITING SKILLS
Authors: Tri Setyaningsih  , Nurhandayani
Published: November 2021

Writing is considered to be a sequence of complicated process in which the students need to organize their ideas and develop them into a systematic order. Due to its complexity process, students often find problems in writing, such as idea organization, sentence arrangements, punctuation, and capitalization. Consequently, this study examined the essay writing class students of the undergraduate program to find out whether or not self-reflection in portfolio gives contribution in improving their writing skills. A questionnaire, observational field notes, and document of students' self-reflections were used to collect data about the students' awareness about self-refection, portfolio and writing based on their perspectives. The findings reveal that the self-reflection in portfolio indeed has given contribution toward students' writing through a set of guided questions so that the students become more aware about their strengths and weaknesses in every draft of their writing. Knowing those things will eventually help students to produce better writing on their own that lead them to be autonomous learners.
RELATIONSHIP BETWEEN STUDENTS' SELF-EFFICACY IN LEARNING ENGLISH AND THEIR ENGLISH LEARNING ACHIEVEMENT AT THE TENTH GRADE OF SMAN 04 SOUTH TAMBUN IN 2019/2020 ACADEMIC YEAR
Authors: Fitra Gumanti Fernindy , Kaniadewi Nita
Published: November 2021

The objective of this study was to find out the relation between students' self-efficacy belief in learning English and their English learning achievement of the tenth grade students of SMAN 4 South Tambun in 2019/2020 academic year. This study used correlational study between two variables which was included in quantitative research. In this study, the writer took one class of tenth grade students which consist of 36 students as the sample. The writer found the correlation coefficient (r) result between students' self-efficacy in learning English and their English learning achievement which was 0,628. Afterward, the writer compared r result to the interpretation of correlation table and showed there was positive correlation. Thus, It proves that self-efficacy belief encourages and helps students to improve their skills and self-confidence, and finally achieve better learning outcomes.

Keywords: Self-Efficacy, Learning, Learning Achievement, English Learning Achievement.
ANALYSIS OF EFL STUDENTS' PERCEPTION OF POWERPOINT USED AS ENGLISH LEARNING MEDIA IN CLASSROOM
Authors: Paramasti Ratu Rekian , Komara Cahya
Published: November 2021

This study investigated students' perception of PowerPoint software used as learning media in the classroom. The aim of this study to get empirical data or evidence on whether the students' perception of Microsoft PowerPoint they used for studying English, especially EFL students in the classroom. Thus, in this research, the participants involved 900 EFL students in two different layers of the school; junior and senior high schools by applying close-ended and open-ended questionnaires to gather the data. The data was analyzed through quantitative (close-ended questionnaire) and qualitative (open-ended questionnaires) method. The result of the close-ended questionnaire showed that if learning English using Ms. PPT can increase students' activeness, work up students' motivation, and improve students' English competence. In the meantime, the open-ended questionnaire also provided the same findings that more students agreed or said yes (positive side) of learning using MS. PowerPoint.  Therefore, it can be concluded that students' perceptions of Ms. PowerPoint were good and exciting. Also, the students felt learning English by using Ms. PowerPoint provided more help, especially in the context of raising activeness, motivation, and English competence in EFL classroom.
TEACHERS' PERCEPTION IN USING CALL AND TEACHERS' HABIT IN TEACHING ENGLISH OF SECONDARY SCHOOL IN JAKARTA
Authors: Sriyanto Widi , Nur Zagita Lifia , Martriwati
Published: November 2021

This study intended to know the correlation between teachers' ability on using CALL and their habit in teaching secondary school in Jakarta. The independent variable (X) is the teachers' perception in using CALL; meanwhile, the dependent variable (Y) is teachers' habit in teaching. The research used quantitative method that applied questionnaire as the instrument to collect the data. The population in this research was 100 teachers, but the writers only took 80 teachers as the sample of this research. The writers used random sampling technique. To obtain the data of X variable (teachers' perception in using CALL) and Y variable (teachers' habit in teaching), the witers distributed quistionnaire consisted of 40 items. The writers used Pearson Product Moment's formula to calculate the correlation between X variable and Y variable. After analyzing the data, it was found that both sample data (X and Y) were normally distributed because Ï‡2o  < Ï‡2t X data (3.91 < 9.49), and Y data (8.13 < 9.49). The correlation was found r-observed = 0.333 and r-table = 0.217 in a significant 0.05 with n = 80. Because r-observed < r-table, Ho was rejected and HI was accepted. It means that there was a significant relationship between teachers' habit in teaching English with technology and their competency in using CALL.
STUDENTS' PERCEPTION OF LEARNING MANAGEMENT SYSTEM (LMS) UTILIZED IN ONLINE ENGLISH LEARNING SITUATION DURING COVID-19 PANDEMIC
Authors: Azzahra Ramadania Denita
Published: November 2021

This research is aimed to figure out the students' perceptions of Learning Management Systems (LMS) that they utilized in Online English Learning Situation During Covid-19 Pandemic. Nowadays, many teachers have changed their face-to-face learning to full online learning as the impact of coronavirus outbreak. This situation creates new model of learning in which Learning Managements System or LMS becomes one of platform that are used by both teachers and students to support learning. The various LMS such as Google Classroom, Edmodo, Schoology, Moodle, and etc. are gained interest and popular in education context including English Language Learning (ELL) and Teaching (ELT). Hence, the writer tries to expose the valuable insight from the students' perception towards those LMS by conducting a quantitative study within survey design and instruments. This research involved 125 respondents mainly from Jabodetabek area. After the data has been collected, the writer analyzed it by using Ms. Excel 2010. The result showed a positive sight from the students. They seemed enjoy using LMS, since it facilitates students in learning English with easy features to submit assignment, quiz, feedback, and communication forum.
Хот суурин газрын усны нөөцийн нэгдсэн менежментийн үнэлгээ: Чиг хандлага ба нөлөөллийн тогтолцоо
Authors: Тайванбат Б. , Алтансүх О. , Энх-Үүр М. , Van Leeuwen K. , Koop Steven H. A.
Published: November 2021

The large number of people living together in urban areas requires a comprehensive solutions for issues such as the reasonable allocation and adequate use of natural resources, urban planning, and efficient waste management to meet the city's needs.  One of the main factors influencing the health and comfort of urban residents is the supply of clean water and sewerage systems. Therefore, in order to rationally allocate and use water resources to meet urban needs, and to create a healthy and comfortable living environment for city residents, it is necessary to develop an integrated water resources management plan at the national and basin levels, as well as an integrated water management plan and assessment for city level. In addition to assessing the current state of water management, it is important to identify factors and trends that may further strain water resources to prevent future risks. To address the pressures on water management in Ulaanbaatar and Darkhan, representing Mongolia's urban areas, the City Blueprint Approach, developed by the EU Water   Innovation Partnership and the Dutch Institute of Water Cycle, was used in this study. Currently, this approach is used in about 80 cities in more than 40 countries, it is a relatively new and innovative method among Asian cities. As a result, water management in Ulaanbaatar and Darkhan is hampered by both social, economic, and environmental factors.
ХИМИЙН НАЙРЛАГААС НЬ ХАМААРУУЛСАН ГАНГИЙН ЗЭВРЭЛТИЙН КИНЕТИК ПРОЦЕССЫН СУДАЛГАА
Authors: Бүжинлхам Т. , Эрдэнэпүрэв Н. , Эрдэнэчимэг Д.
Published: November 2021

Энэхүү судалгааны ажлын хүрээнд зэврэлтээс хамгаалах хар болон саарал бүрхүүлтэй ган бүтээцүүдийн химийн найрлагыг индукцийн холбоост плазмын оптик спектрометр (ICP-OES) болон рентген спектрометр (XRF)-ийн багажуудаар тодорхойлоход ган бүтээцүүдийн гангийн химийн найрлагад Cr, Ni, Si, Al, Mn -н агуулга нийлбэрээрээ >1.5% их байгаа нь чанаржуулсан гангийн төрөлд орж байна. Мөн зэврэлтээс хамгаалах хар бүрхүүлийн 92.73% -д Si, Al, Fe, Ti агуулгатай хайлш, саарал бүрхүүлийн 93.46% нь Zn агуулгатай байна. Зэврэлтээс хамгаалах хар болон саарал бүрхүүлийн зэврэлтэд тэсвэртэй байдалд шүлтлэг орчин, температур, хугацааны хамаарлыг жингийн хорогдлын арга харьцуулан судалсан. Электрохимийн багажаар шугаман туйлширсан эсэргүүцлийн аргаар хэт шүлтлэг орчин дах саарал бүрхүүл нь хар бүрхүүлээс 5 дахин хурдтай зэвэрч байна.
Bee Tracker -- an open-source machine-learning based video analysis software for the assessment of nesting and foraging performance of cavity-nesting solitary bees
Authors: Knauer Anina , Gallmann Johannes , Albrecht Matthias
Published: November 2021

1. The foraging and nesting performance of bees can provide important
information on bee health and is of interest for risk and impact
assessment of environmental stressors. While radio-frequency
identification (RFID) technology is an efficient tool increasingly used
for the collection of behavioral data in social bee species such as
honey bees, behavioral studies on solitary bees still largely depend on
direct observations, which is very time-consuming. 2. Here, we present a
novel automated methodological approach of individually and
simultaneously tracking and analyzing foraging and nesting behavior of
numerous cavity-nesting solitary bees. The approach consists of
monitoring nesting units by video recording and automated analysis of
videos by a machine learning based software. This Bee Tracker software
consists of four trained deep learning networks to detect bees that
enter or leave their nest and to recognize individual IDs on the bees’
thorax as well as the IDs of their nests according to their positions in
the nesting unit. 3. The software is able to identify each nest of each
individual nesting bee, which permits to measure individual-based
measures of reproductive success. Moreover, the software quantifies the
number of cavities a female enters until it finds its nest as a proxy of
nest recognition, and it provides information on the number and duration
of foraging trips. By training the software on 8 videos recording 24
nesting females per video, the software achieved a precision of 96%
correct measurements of these parameters. 4. The software could be
adapted to various experimental setups by training it to an according
set of videos. The presented method allows to efficiently collect large
amounts of data on cavity-nesting solitary bee species and represents a
promising new tool for the monitoring and assessment of behavior and
reproductive success under laboratory, semi-field and field conditions.
Growing Threat of Extended-Spectrum β-Lactamase-Producing Enterobacteriaceae Colonization in High-Risk Pregnancies: a retrospective cohort study
Authors: Choi Yun-Sun , Kim Yejin , Cho Hye Jung , Sung Ji-Hee , Choi Suk-Joo , Oh Soo-young , Kim Yae-Jean , Roh Cheong-Rae
Published: November 2021

Objective To investigate the epidemiological changes in
extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-E)
vaginal colonization in high-risk pregnant women and identify
independent risk factors. Further, the differences in perinatal outcomes
according to maternal ESBL-E vaginal colonization were analyzed. Design
Retrospective cohort study. Setting Republic of Korea Population 1,460
women admitted to our high-risk pregnancy unit between 14+0 and 35+6
gestational weeks. Methods The study period was divided into periods 1
(January 2010 to July 2015) and 2 (August 2015 to December 2020). The
main outcomes were analyzed according to each period and ESBL-E vaginal
colonization. Main Outcome Measures ESBL-E vaginal colonization rate,
risk factors for ESBL-E vaginal colonization, and perinatal outcomes.
Results The ESBL-E vaginal colonization rate was higher in period 2,
which was attributed to a significantly higher proportion of
ESBL-producing Escherichia coli. Cerclage (odds ratio [OR]: 3.248;
95% confidence interval [CI]: 1.744–6.049) and prior antibiotic
treatment (OR: 3.044; 95% CI: 1.713–5.410) were found as independent
risk factors for ESBL-E vaginal colonization. Earlier gestational age at
delivery, and higher proven early-onset neonatal sepsis (EONS) rate were
observed in the ESBL-E-positive group. Conclusions The ESBL-E vaginal
colonization rate in high-risk pregnant patients has increased over the
past decade, and the independent risk factors for colonization are
cerclage and prior antibiotic treatment. Additionally, maternal ESBL-E
vaginal colonization is associated with higher proven EONS rates.
Funding This study received no funding. Keywords Extended-spectrum
β-lactamase, Enterobacteriaceae, vaginal colonization, antibiotics use,
cerclage, neonatal sepsis
Investigations on laser welding of dissimilar joints of stainless steel and copper for hot crack prevention
Authors: Rinne Jonas , Nothdurft Sarah , Hermsdorf Jörg , Kaierle Stefan , Overmeyer Ludger
Published: November 2021

Fusion joining of stainless steel to copper without a filler material for pipe processing proves itself to be challenging due to the very different material properties of the joining partners and very heterogeneous characteristics in the weld metal due to different mixing ratios. One of the most common weld defects in this material combination is solidification cracking in the weld metal due to liquid copper accumulation between the stainless steel grain boundaries, which cannot withstand the tensile tensions while cooling down. Consequently, these cracks can reduce the mechanical properties, lead to leakages or cause faster corrosion. To prevent cracking, a precise control of the melting and mixing ratio of stainless steel and copper is needed. Laser beam welding offers many capabilities to influence the resulting weld metal shape and size as well as the mixing ratios with different approaches such as parameter optimization, inline process control, or the use of different beam shapes. This work shows different weld configurations and applications using sheets with thicknesses in the area of 1 mm and pipe samples. The main focus is on different solutions to influence the copper dilution and the weld metal geometry for solidification crack prevention. Therefore, a design of experiment approach and inline weld depth control using optical coherence tomography (OCT) data is used for the lap weld configuration to limit the copper dilution below 10 wt. % in steel dominated weld metals. Moreover, the benefits of adjustable intensity profiles for the butt weld configuration to control the shape and dimensions of the weld metal and mixing behavior with different power distributions in the laser beam welding spot are shown. The overall results indicate that solidification cracking in steel-copper joints can be influenced by different process approaches.
Online Learning at Early Pandemic Situation: Grassroots Voices
Authors: Prasetianto Mushoffan , Maharddhika Rizkiana , Ruminar Hafida , Prasetyaningrum Dian Islami
Published: November 2021

The advent of the COVID-19 pandemic reconfigured several aspects of life, one of which is education. A study on grassroots voices on online learning is a dearth of. Therefore, a present study was addressed to uncover teachers’ and students’ voices in online learning. Questionnaires and interviews were employed to garner data. 233 students and 30 teachers’ responses from questionnaires were obtained. The interviews were conducted to obtain in-depth data. The data were interpreted descriptively. The results showcased that students’ voices on the ease of GC and GC performance were positive, yet institution support was not maximally implemented. Simultaneously, the teachers’ voices on the ease of GC, the performance of GC, and the supports of institution were positive. In a nutshell, teachers and students have a positive impression of online learning. Their positive impression comes from the ease of the online platform operation, the online platform’s good performance, but student views that the institutional support is not maximally implemented. The ease of using online platforms should be considered in choosing one of the various online platforms available. The online platform features are not complicated for students and teachers to easily operationalize the online platform and support teaching and learning activities such as delivering materials, assigning tasks, submitting a task, and assessing tasks.
The Effect of the Implementation of Mind Mapping Method on Critical Thinking Skills in Civic Education Learning
Authors: Sari Resti Anika , Murdiono Mukhamad
Published: November 2021

One of the efforts made to produce quality human resources in a developing country like Indonesia is to carry out development in all fields. In the field of education, various efforts to improve the quality of education are always carried out. This study aims to analyze the effect of the implementation of Mind Mapping method on the critical thinking skills of grade X students in civic education learning. This research is a quasi-experimental study using quantitative approach. The research sample was 62 students divided into 2 classes who were selected using random sampling technique. Data were collected by conducting pre-test and post-test. Hypothesis testing using t-test analysis with a significance level of the analysis results was determined at 5%. The result showed that there was an effect of the implementation of Mind Mapping method in learning civic education on the critical thinking skills of class X students. This is indicated by the increase of  of the post-test that is 7.923. In addition, the ttable on df 60 was 2.000, and the significance value of 0.000 was smaller than the significance level of 5% (0.000 < 0.05). Mind mapping as a learning method can be used as a solution to improve students' critical thinking in the learning process in order to achieve learning goals.
Reflection Online Learning During Pandemic and New Normal: Barriers, Readiness, Solutions, and Teacher Innovation
Authors: Wakhidah Nur , Erman Erman , Widyaningrum Astri , Aini Vera Nur
Published: November 2021

This study aims to reflect online learning when Covid-19 spread include what happened, how obstacles, teacher readiness, solutions, and teacher innovations to improving learning. The mixed-method research was conducted on 30 SD/MI and SMP/MTs teachers in various fields. Data collection was carried out by survey using google form and interviews. Teacher readiness data is calculated quantitatively using percentages. Qualitative data (constraints, solutions, and innovations) were analyzed qualitatively. The results showed barriers to online learning came from teachers, schools, students, and material content; The percentage in new normal teacher readiness to do online learning is 73,49 (moderate category); Solutions in form of improving online learning infrastructure, providing quotas, teachers not only assigning tasks but activities, improving teacher skills in the field of IT. Teacher innovation is planning blended learning in the new normal and designing learning using internet applications, and empowering teacher working groups. The results of reflection show that online learning which is done suddenly produces many obstacles. Online learning planning needs to be done by improving teacher skills in the internet technology field, providing online learning facilities and infrastructure, understanding the characteristics of the material, and familiarizing students with technology following global demands. For this reason, it is necessary to initiate blended learning, namely a combination of online and face-to-face in facing global challenges.
Lecturer Mastery Level as an Indicator of Student Satisfaction Assessment
Authors: Bawono Icuk Rangga , Setyadi Erwin , Rahayu Apriani Kartika
Published: November 2021

The development of the era demands the development of a better and less pragmatic and simplistic mindset and way of teaching in conveying science to its students. The university should now be able to change its paradigm as a site like a company engaged in services offering better service to its customers. It is a quantitative research using a questionnaire model. It analyzes the influence of lecturer competency on student satisfaction levels both directly and through the quality dimensions of services. It also analyzes the most dominant competencies as lecturer competencies. The conclusions that can be drawn from the holding of this research is the ability of the lecturer has an important influence on student satisfaction, the lecturer ability has a significant impact on the level of student satisfaction through the dimension of service quality. Meanwhile, social competence has the most dominant role in shaping the lecturer's competence. It is expected that the results of this study can be considered by lecturers so that they can always develop themselves in order to function more fully.