bluuebunny/crossref_metadata_2025 huggingface dataset:
PERCEPTION OF CLASS 7 ESL LEARNERS TOWARDS VIRTUAL LEARNING ENVIRONMENT
Authors:   Research Scholar, Indira Gandhi National Open University, Maidan Garhi, New Delhi, India., a Darakhshan , Singh Madhu ,   Professor, St.Xaviers College of Education(Autonomous),Digha Ghat, Patna, Bihar, India.
Published: March 2022

The present study is an attempt to find out the Perception of Class 7 ESL Learners Towards Virtual Learning Environment, based on a set of independent variable of Class 7 ESL Learners. To achieve this aim, the researcher has adopted the survey method. The tool used for data collection was-Self Constructed and Validated Questionnnaire (2021) with the help of supervisor. The tool was administered on 60 Class 7 ESL Learners of Patna. The findings indicated that majority of the learners were comfortable using computers or mobile phones for online classes. Also, many of them found online exams convenient and easier. Furthermore, the results show that the respondents preferred attending face to face classes. Another major finding was that virtual learning has made them more technologically friendly. This information is quite useful to the teachers, as by understanding the perception of Class 7 ESL Learners for VLE, they would align their course of classroom with different methods of teaching.
STUDY OF CLINICAL PROFILE, INCIDENCE AND PATTERN OF CONGENITAL CORONARY ARTERY ANOMALIES IN ADULTS UNDERGOING CORONARY ANGIOGRAPHY
Authors:   (DM Cardiology) Professor and Head, Department of Cardiology, Dr DY Patil Medical College, Pune, Maharashtra, India., Kumar Malani Susheel , Kashyap Prashant ,   (DM Cardiology Senior Resident), Department of Cardiology, Dr DY Patil Medical College, Pune, Maharashtra, India., Nalawade Digvijay ,   (DM Cardiology), Associate Professor, Department of Cardiology, Dr DY Patil Medical College, Pune, Maharashtra, India., Sridevi Chigulapalli ,   (DM Cardiology), Professor, Department of Cardiology, Dr DY Patil Medical College, Pune, Maharashtra, India., Vilas Manade Vivek ,   (DM Cardiology), Assistant Professor, Department of Cardiology, Dr DY Patil Medical College, Pune, Maharashtra, India.
Published: March 2022

Objectives: To study the clinical profile, incidence, and pattern of congenital coronary artery anomalies (CAAs) in adults undergoing coronary angiography. Methods: Coronary angiogramof 3600 patients done between September 2017 and September 2021 were reviewed for the presence of CAAs. Results: Angiography data of 3600 patients done between September 2017 to September 2021 was reviewed in the present study and 88 patients were found to have CAAs giving a prevalence of 2.44%. Mean age of patients was found to be 56.86Â±11.49 years (range 24-75 years). Among these, the anomalous origin and course of the coronaries were the most common anomaly seen in 73 (2.02%) patients, followed by intrinsic anomalies of the coronary arterial system in 13 (0.36%) patients , followed by anomalous coronary termination in 01 patient (0.03%) and single coronary artery 01 patient (0.03%). Conclusion: The prevalence of congenital coronary anomalies in the study was found to be 2.44%. and commonest anomaly was that of origin and courseof the vessels (88%). Though the prevalence of CAAs in this study was similar to that in previous studies, the pattern of anomalies was slightly different from previous studies.
A GEO-ENVIRONMENTAL STUDY ON CULTIVATION, PRODUCTION AND MARKETING OF BANANA IN GOALPARA DISTRICT OF ASSAM, INDIA
Authors:   Assistant Professor (Sr.) Department of Geography, Sonapur College, Kamrup Metro, Assam., Ali Asraf
Published: March 2022

Goalpara district covering an area of 1,824sq.km.in the western part of south bank of the Brahmaputra in Assam extends between 25o 54/N to 26o 17/N latitude and 90o3/E to 91o6/E longitude. The district along with its surrounding areas basically the south central parts are very suitable for the cultivation of banana one of the important fruit crop of the district. The district is not only rich in the cultivation and production of banana but also it has some big collecting centers mainly at Daranggiri, Dhupdhara, Rongjuli, Dudhnoi, etc. The century-old Daranggiri banana market in Goalpara district has now reached the peak of selling with rank first as the largest banana market in Asia. Bananas from Daraggiri are being supplied to Bangladesh, Nepal, Bhutan, Bihar, West Bengal, Uttar Pradesh, and many other places of India and abroad. The present paper is a modest attempt to analyse the geo-environmental characteristics of Cultivation, Production and Marketing of Banana in Goalpara District of Assam.
THE INFLUENCE OF SOCIAL CHANGESIN RELIGIOUS PRACTICE [HINDUISM, JAINISM ANDBUDDHISM] OF INDIA
Authors:   Associate Lecturer, Department of Science and Humanities, College of Science and Technology, Royal University of Bhutan Phuentsholing, Chukha, 21101, Bhutan., Zepa Ngawang
Published: March 2022

Religionhas long been seen as a conservative force in society across the globe. Religious beliefs serve to justify the existing, unequal social order and prevent societal change by making a virtue out of poverty and suffering. Religion also teaches people that it is pointless striving for a revolution to bring about social change in this life. Religion was primarily an ideological tool by means of which the ruling class legitimated its position and mystified those whom it exploited by conveying the conception that the prevailing social order was not simply a product of the ruthless exercise of a monopoly of power and profit in the interest of a particular social group, but rather a divinely ordained order .Religious ideas, thoughts and practices differed among the groups, along with transformations and developments took place in the various religious forms in course of time. Religion in India was never static in character but was driven by an inherent civil dynamic strength. Despite the consistency of core teachings [Hinduism, Jainism and Buddhism] over the years, since the last decade or globalization has entered into the economic, social-cultural, and political spheres of Indian society, yet another dimension to social change in Indian society was added. In this respect, its practices had gradually changed. Otherwise, Indian spirituality is deeply rooted in ancient philosophical and religious traditions of the land.
BURNOUT AMONG PHC STAFF IN RIYADH, SAUDI ARABIA
Authors:   Family Medicine Resident, Family Medicine Academy, King Saud Medical City (KSMC), Riyadh 12746, Saudi Arabia., Aljuhaimi Asma , Alzamil Norah ,   Assistant Professor in Family Medicine, Department of Clinical Sciences, College of Medicine, Princess Norah bint Abdulrahman University, Riyadh, Saudi Arabia., Alessa Amal ,   Family Medicine Resident, Family Medicine Academy, King Saud Medical City (KSMC), Riyadh 12746, Saudi Arabia., Almutairi Sara ,   Family Medicine Resident, Family Medicine Academy, King Saud Medical City (KSMC), Riyadh 12746, Saudi Arabia., Alrumayh Sarah ,   Family Medicine Resident, Family Medicine Academy, King Saud Medical City (KSMC), Riyadh 12746, Saudi Arabia.
Published: March 2022

Background: Burnout is a syndrome conceptualized as resulting from chronic workplace stress that has not been successfully managed. Burnout has been described in health-care workers and has been reported to be common in primary health care physicians. This study aimed is to assess the prevalence rate of burnout, and its associated factors, amongst primary care doctors in cluster one area, Riyadh, Saudi Arabia. Methods: This study is a cross-sectional in design. The subjects consist of general physicians, residents, registrars, senior registrars, consultants, nurses and receptionist. This study is conducted at specialized consulting clinics in Riyadh. The questionnaire's primary outcome measures are based on the Maslach scale. The Maslach Burnout Inventory (MBI) is an industry-standard that has been administered across large samples of varied professions in many countries. It has three dimensions: emotional exhaustion (EE), depersonalization (DP), and personal accomplishment (PA). Results:A high level of burnout was found among PHC staff in Riyadh, Saudi Arabia. The factors affecting Emotional exhaustion (EE) of the PHC staff are the position, gender, working hours per week, the degree of job satisfaction, changing the job, planning to leave the job, the salary, depersonalization and personal accomplishment. Whereas the factors affecting Depersonalization (DP) among PHC staff are: Work night shifts, the degree of job satisfaction, changing the job, planning to leave the job, Personal Accomplishment and Emotional Exhaustion. Similarly, changing the job, EE, and DP are the significant factors affecting the personal accomplishment (PA) of PHC staff. Conclusion: Burnout is an important issue related to primary care staff in Riyadh, Saudi Arabia. Proper assessment and determination of the prevalence rate of burnout, and its associated factors is critical.
DNA Complexing Minor Groove-Binding Ligands: Perspectives in Antitumour and Antimicrobial Drug Design
Authors: Pindur U. , Fischer G.
Published: March 2022

DNA is the molecular target of many antimicrobial, antiviral and antitumour active drugs. In recent years DNA minor groove-binding ligands, possessing pronounced sequence specificity to the oligonucleotide matrix and derived from natural sources or by synthetic methods, have been studied frequently because of their sequence recognizing ability and, on the molecular level, for the elucidation of binding modes and specific structural
interaction parameters. Fundamental questions arose both for medicinal chemist and molecular
biologist: what is the DNA-sequence selective principle of DNA interacting drugs?, what are the consequences for a rational drug design?, and what are the molecular principles of the protein DNA sequence recognition process controlling gene expression? In this context this review discuses the chemistry and, in detail, the three dimensional structural aspects of the binding characteristics of low Mr minor groove-binding ligands towards the B-ONA. X-ray crystallographic techniques, high resolution NMR spectroscopic observations, DNase I footprinting studies and state-of-the-art computer molecular modelling are all valuable tools to unravel most of the unsolved problems. In this context the detailed experimental studies support effectively a rational drug design for the development of "DNA sequence-reading" drugs and will also help to understand gene expression at the molecular level.
Catalytic Domains of Matrix Metalloproteinases: A Molecular Biology Approach to Drug Discovery
Authors: Ye Qi-Zhuang , Hupe Donald , Johnson Linda
Published: March 2022

Molecular biology has provided a range of tools for drug research. The work in the matrix metalloproteinase (MMP) catalytic domain area demonstrated one of the molecular biology approaches to drug discovery. Matrix metalloproteinases are a family of zinc containing proteinases involved
in connective tissue remodeling and implicated in diseases such as arthritis, cancer metastasis,
and periodontal diseases. Several catalytic domains of human MMPs have been expressed in E. coli and used for random inhibitor screening, protein/inhibitor complex structural determinations, and protein structure-function studies, promising a new generation of MMP inhibitors with high affinity, high selectivity, and high bioavailability as therapeutical agents.
Leukotriene A4 Hydrolase: A New Target for Anti-inflammatory Intervention
Authors: Zhang M.-Q.
Published: March 2022

Recent pathophysiological and biochemical data indicate that the hydroxyl leukotriene LTB4 plays an important role in many inflammatory diseases, such as asthma, inflammatory bowel diseases, psoriasis, arthritis, etc. Blockade of LTB4 biosynthesis and/or actions therefore provides a sensable approach for the development of anti-inflammatory therapeutics.
The current biosynthesis inhibitors of LTB4, e.g. 5-lipoxygenase (5-LO) inhibitors or 5- lipoxygenase activating protein (FLAP) inhibitors, are all non-selective and they also block the synthesis of cysteinyl leukotrienes and lipoxins. This total blockade of 5-LO pathway of arachidonic acid metabolism poses concerns for potentially unwanted effects. Selective inhibition of leukotriene A4 (LTA4) hydrolase, the key rate-limiting enzyme for the biosynthesis of LTB4, would only limit the synthesis of LTB4 with the synthesis of cysteinyl leukotrienes and lipoxins intact, thus providing an alternative approach for the therapeutic intervention of LTB4. This review summaries the current knowledge on the pathological functions of LTB4 in inflammatory diseases, biochemistry of LTA4 hydrolase and selective inhibition of LTA4 hydrolase.
Solid-Phase Synthesis of Glycopeptides: Immunological Studies with T Cell Stimulating Glycopeptides
Authors: Kihlberg Jan , Elofsson Mikael
Published: March 2022

Stepwise solid-phase synthesis using glycosylated amino acids as puilding blocks has been shown to be the most general and efficient approach for preparation of glycopeptides. The a-amino group of the glycosylated amino acids should be protected with the fluoren-9-ylmethoxy­ carbonyl (Fmoc) group whereas acetyl groups, or acid labile protective groups, are suitable for the carbohydrate hydroxyl groups. Due to the recent rapid development of Fmoc solid-phase glycopeptide synthesis glycopeptides are increasingly being made available for investigations in biological sciences, such as studies of the cellular immune response to glycopeptides. These studies have established that glycopeptides are bound well by both class I and . II MHC molecules and elicit a carbohydrate specific T cell response after immunization, provided that the position for the glycan is chosen carefully in the centre of the peptide. Such a location most likely allows contacts between carbohydrate and the CDR3s of the T cell receptor. Investigations using viral glycoproteins suggest that the large N-linked glycans influence the T cell response to glycoproteins, but that this does not involve specific interactions between the glycan and the T cell. Furthermore, viruses seem to exploit mutations which introduce or delete N-linked glycans to escape from attack by T cells. In contrast, studies have revealed that the smaller 0-linked carbohydrates found on collagen or mucins are able to elicit a carbohydrate specific T cell response. Altogether, these immunological studies have suggested novel applications in medicine, including generation of a cellular immune response to carbohydrate antigens found on pathogens or tumour cells, and induction of tolerance in autoimmune rheumatoid arthritis.
Diabetes Mellitus and Bell’s Palsy
Authors: Papanas Nikolaos , Stamatiou Iliana , Papachristou Stella
Published: March 2022

The aim of the present brief review was to discuss Bell’s palsy (BP) in diabetes
mellitus (DM). The risk of BP is increased in DM. DM subjects with BP are more prone to
severe facial nerve degeneration. Further characteristics of BP in DM include a) infrequent
taste impairment; b) more frequent and more marked facial nerve subclinical electrophysiological
impairment; c) more frequent Blink reflex impairment; d) potentially concurrent distal
symmetrical sensorimotor polyneuropathy; e) more frequent alternating BP with recurrent episodes
affecting different sides of the face. Diagnosis of BP rests on clinical examination,
along with facial nerve electromyographic and electroneurographic evaluation. Management
of BP in DM includes physical therapy, corticosteroids, and antiviral agents. Finally, acupuncture,
low-level laser therapy, lipoprostaglandin E1, and stellate ganglion block are new
modalities with initially promising results.
Multifunctional Role of Phytochemicals Derived from Boerhaavia diffusa
L. in Human Health, Ailments, and Therapy
Authors: Das Sarita , Sahoo Biswa Mohan , Bhattamisra Subrat Kumar
Published: March 2022

Background:

The whole plant of Boerhaavia diffusa L. (BD) has wide ethnomedicinal
and ethnopharmacological applications. It is a versatile medicinal herb with tremendous antioxidant
potential, used commonly in Asian and African countries for a variety of Ayurvedic formulations
as a “Rasayan” or Rejuvenator.

Objective:

This paper is aimed at providing an extensive study of the phytochemistry and pharmacology
of BD to support its ethnopharmacological uses and the effectiveness of different active
constituents present in BD. We believe that this paper will provide an insight into various trends
and advances for future studies on BD.

Methods:

All relevant information was collected from worldwide accepted search engines and
databases, i.e., Google, Pub Med, Elsevier, Science Direct and Web of Science, etc.

Results:

Based on the study conducted for this paper, it was found that BD is a rich source of
several phytochemicals that are extracted from its roots and aerial parts. Among them, secondary
metabolites such as alkaloids, phenolics, flavonoids, isoflavonoids, rotenoids, glycosides, steroids,
and lignans are the most important ones. The crude extract and the isolated phytochemicals are
reported to have impressive bioactivities such as immunomodulatory, hepatoprotective, renoprotective,
cardioprotective, antidiabetic, anti-inflammatory, antifertility, antioxidant, anticancer, and
antimicrobial properties.

Conclusion:

The immense therapeutic potential of BD has been explored in many experiments,
which validates its traditional uses. However, reports from clinical trials and the specific interaction
of isolated phytoconstituents with microbial toxins or molecular markers of pathogenesis are
meager. Therefore, further studies can be undertaken to elucidate the molecular cross-talk between
the major therapeutic components with pathological biomolecules.
Analysis of Brain Structure and Neural Organization in Dystrophin-Deficient Model Mice with Magnetic Resonance Imaging at 7 T
Authors: Rikitake Mitsuki , Hata Junichi , Iida Mayu , Seki Fumiko , Ito Rina , Komaki Yuji , Yamada Chihoko , Yoshimaru Daisuke , Okano Hirotaka James , Shirakawa Takako
Published: March 2022

Background:

Dystrophin strengthens muscle cells; however, in muscular dystrophy, dystrophin is deficient due to an abnormal sugar chain. This abnormality occurs in skeletal muscle and in brain tissue.

Objective:

This study aimed to non-invasively analyze the neural organization of the brain in muscular dystrophy. We used a mouse model of muscular dystrophy to study whether changes in brain structure and neurodegeneration following dystrophin deficiency can be assessed by 7T magnetic resonance imaging.

Methods:

C57BL/10-mdx (X chromosome-linked muscular dystrophy) mice were used as the dystrophic mouse model and healthy mice were used as controls. Ventricular enlargement is one of the most common brain malformations in dystrophin-deficient patients. Therefore, we examined whether ventricular enlargement was observed in C57BL/10-mdx using transverse-relaxation weighted images. Brain parenchyma analysis was performed using diffusion MRI with diffusion tensor images and neurite orientation dispersion and density imaging. Parenchymal degeneration was assessed in terms of directional diffusion, nerve fiber diffusion, and dendritic scattering density.

Results:

For the volume of brain ventricles analyzed by T2WI, the average size was 1.5 times larger in mdx mice compared to control mice. In the brain parenchyma, a significant difference (p < 0.05) was observed in parameters indicating disturbances in the direction of nerve fibers and dendritic scattering density in the white matter region.

Conclusion:

Our results show that changes in brain structure due to dystrophin deficiency can be assessed in detail without tissue destruction by combining diffusion tensor images and neurite orientation dispersion and density imaging analyses.
Cluster Sets for Muscle Hypertrophy: A Short Review †
Authors:   Faculty of Medicine, University of Málaga, Spain, Vargas-Molina Salvador ,   EADE-University of Wales Trinity Saint David, Málaga, Spain,   Research Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia, Petro Jorge L. ,   Research Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia,   Research Group in Physical Activity, Sports and Health Sciences (GICAFS), Universidad de Córdoba, Montería, Colombia, Bonilla Diego A. ,   Research Division, Dynamical Business & Science Society-DBSS International SAS, Bogotá 110311, Colombia,   Research Group in Physical Activity, Sports and Health Sciences (GICAFS), Universidad de Córdoba, Montería, Colombia,   Grupo de investigación Nutral, Facultad Ciencias de la Nutrición y los Alimentos, Universidad CES, Medellín 050021, Colombia, Baz-Valle Eneko ,   Department of Physical Education and Sport, University of the Basque Country UPV/EHU, Vitoria-Gasteis, Spain, Carbone Leandro ,   Physical Activity and Sports, Faculty of Medical Science, University of Salvador, Buenos Aires, Argentina, Cannataro Roberto ,   Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy, Benítez-Porres Javier ,   Faculty of Medicine, University of Málaga, Spain
Published: March 2022

Cluster-set resistance training is focused on performance improvements of sports by increasing the repetition maximum, jump height, and efficiency in the sprint. In this commentary, we present relevant aspects to optimize the use of cluster training under the context of muscle hypertrophy. Therefore, we address intra-sets pauses, the number of repetitions per block, and strategies that benefit this methodology. During a cluster set resistance training program, not only the total number of repetitions could be higher, which means a superior total volume, but also a higher mechanical output might lead to potential benefits to muscle hypertrophy.
Feasibility and Acceptability of an Online WhatsApp Support Group on Breastfeeding: Protocol for a Randomized Controlled Trial (Preprint)
Authors: Lok Kris YW , Ko Rachel WT , Fan Heidi SL , Chau PH , Wong Janet YH , Wang MP , Tsang Vicky
Published: March 2022

BACKGROUND

Mobile health, the use of mobile technology in delivering health care, has been found to be effective in changing health behaviors, including improving breastfeeding practices in postpartum women. With the widespread use of smartphones and instant messaging apps in Hong Kong, instant messaging groups could be a useful channel for delivering breastfeeding peer support.

OBJECTIVE

The aim of this paper is to study the feasibility and acceptability of an online instant messaging peer support group by trained peer counselors on improving breastfeeding outcome in primiparous women in Hong Kong.

METHODS

A two-arm, assessor-blind, randomized controlled feasibility study will be conducted on 40 primiparous women with the intention to breastfeed. Participants are recruited from the antenatal obstetrics and gynecology clinic of a public hospital in Hong Kong and randomly assigned at a 1:1 ratio to either intervention or control group. The intervention group receives peer support in an online instant messaging group with trained peer counselors on top of standard care, whereas the control group receives standard care. Breastfeeding outcome will be assessed for 6 months post partum or until weaned. The breastfeeding status, the proportion and duration of exclusive and any breastfeeding in each group, and the self-efficacy and attitude of participants will be assessed. The feasibility and acceptability of the study would also be assessed in preparation for a full randomized controlled trial.

RESULTS

This study (protocol version 1 dated January 5, 2021) has been reviewed and approved by the institutional review board of the University of Hong Kong, Hospital Authority Hong Kong West Cluster (reference UW 21-039), on January 26, 2021. Data collection is ongoing and expected to be completed in December 2021. The findings will be updated on clinical trial registry and disseminated in peer-reviewed journals.

CONCLUSIONS

This study aims to assess the feasibility and effectiveness of an online instant messaging peer support group in improving the breastfeeding outcome of primiparous women in Hong Kong. Its findings could inform the feasibility of a full-scale trial with this intervention design.

CLINICALTRIAL

ClinicalTrials.gov NCT04826796; https://clinicaltrials.gov/ct2/show/NCT04826796

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/32338
Suitability of the Unified Theory of Acceptance and Use of Technology 2 Model for Predicting mHealth Acceptance Using Diabetes as an Example: Qualitative Methods Triangulation Study (Preprint)
Authors: Schretzlmaier Patrik , Hecker Achim , Ammenwerth Elske
Published: March 2022

BACKGROUND

In recent years, the use of mobile health (mHealth) apps to manage chronic diseases has increased significantly. Although mHealth apps have many benefits, their acceptance is still low in certain areas and groups. Most mHealth acceptance studies are based on technology acceptance models. In particular, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was developed to predict technology acceptance in a consumer context. However, to date, only a few studies have used the UTAUT2 model to predict mHealth acceptance and confirm its suitability for the health sector. Thus, it is unclear whether the UTAUT2 model is suitable for predicting mHealth acceptance and whether essential variables for a health-related context are missing.

OBJECTIVE

This study aims to validate the suitability of UTAUT2 for predicting mHealth acceptance.

METHODS

In this study, diabetes was used as an example as mHealth apps are a significant element of diabetes self-management. In addition, diabetes is one of the most common chronic diseases affecting young and older people worldwide. An explorative literature review and guided interviews with 11 mHealth or technology acceptance experts and 8 mHealth users in Austria and Germany were triangulated to identify all relevant constructs for predicting mHealth acceptance. The interview participants were recruited by purposive sampling until theoretical saturation was reached. Data were analyzed using structured content analysis based on inductive and deductive approaches.

RESULTS

This study was able to confirm the relevance of all exogenous UTAUT2 constructs. However, it revealed two additional constructs that may also need to be considered to better predict mHealth acceptance: trust and perceived disease threat.

CONCLUSIONS

This study showed that the UTAUT2 model is suitable for predicting mHealth acceptance. However, the model should be extended to include 2 additional constructs for use in the mHealth context.

CLINICALTRIAL
Natural Language Processing in Urology: Automated Extraction of Clinical Information from Histopathology Reports of Uro-Oncology Procedures (Preprint)
Authors: Huang Honghong , Lim Fiona Xin Yi , Gu Gary Tianyu , Han Jiangchou Matthew , Fang Andrew Hao Sen , Chia Elian Hui San , Bei Yen Tze Eileen , Tham Sarah Zhuling , Sun Aixin , Lim Kheng Sit
Published: March 2022

BACKGROUND

Clinical information is primarily stored digitally as free text in electronic health records (EHRs) at the Singapore General Hospital (SGH). Traditional extraction of registry data fields is manual, laborious and prone to errors.

OBJECTIVE

We aimed to automate routine extraction of clinically relevant unstructured information from uro-oncological histopathology reports by applying rule-based and machine learning (ML) /deep learning (DL) methods to develop an oncology focused natural language processing (NLP) algorithm.

METHODS

Our algorithm employs a combination of a rule-based approach and support vector machines /neural networks (BioBert/Clinical BERT), and is optimised for accuracy. We randomly extracted 5772 uro-oncological histology reports from 2008 to 2018 from EHRs and split the data into training and validation datasets in an 80:20 ratio. The training dataset was annotated by medical professionals and reviewed by cancer registrars. The validation dataset was annotated by cancer registrars and defined as the gold standard with which the algorithm outcomes were compared. The accuracy of NLP-parsed data was matched against these human annotation results. We defined an accuracy rate of >95% as “acceptable” by professional human extraction, as per our cancer registry definition.

RESULTS

There were 11 extraction variables in 268 free-text reports. We achieved an accuracy rate of between 61.2% to 99.0% using our algorithm. Of the 11 data fields, a total of 8 data fields met the acceptable accuracy standard, while another 3 data fields had an accuracy rate between 61.2% to 89.7%. Noticeably, the rule-based approach was shown to be more effective and robust in extracting variables of interest. On the other hand, ML/DL models had poorer predictive performances due to highly imbalanced data distribution and variable writing styles between different reports and data used for domain-specific pre-trained models.

CONCLUSIONS

We designed an NLP algorithm that can automate clinical information extraction accurately from histopathology reports with an overall average micro accuracy of 93.3%. The algorithm can be modified and continuously improved to extract new and existing variables.
Improving Performance of Outcome Prediction for In-patients with Acute Myocardial Infarction Based on Embedding Representation Learned From Electronic Medical Records: Development and Validation Study (Preprint)
Authors: Huang Yanqun , Zheng Zhimin , Ma Moxuan , Xin Xin , Liu Honglei , Fei Xiaolu , Wei Lan , Chen Hui
Published: March 2022

BACKGROUND

The widespread secondary utilization of electronic medical records (EMRs) promotes healthcare quality improvement. Representation learning that can automatically extract hidden information from EMR data has gained increasing attention.

OBJECTIVE

We aimed to propose a patient representation containing more feature associations and task-specific feature importance to improve outcome prediction performance for in-patients with acute myocardial infarction (AMI).

METHODS

Medical concepts including patients’ age, gender, diagnosis diseases, laboratory tests, structured radiological features, procedures and medications were firstly embedded into real-value vectors using the improved skip-gram algorithm where concepts in the context windows were selected by feature association strengths measured by association rules’ confidence. Then each patient was represented as the sum of the feature embeddings weighted by the task-specific feature importance, which was applied to facilitate predictive model prediction from global and local perspectives. We finally applied the proposed patient representation into mortality risk prediction for 3010 and 1671 AMI in-patients from a public dataset and a private dataset, respectively, comparing with several reference representation methods in terms of the areas under the receiver operator curve (AUC).

RESULTS

Compared with the reference methods, the proposed embedding-based representation showed consistently superior predictive performance on two datasets, achieving the mean AUCs of 0.861 and 0.980, while the greatest AUCs among reference methods were 0.852 and 0.942 on the public and private datasets, respectively. Feature importance integrated in patient representation also reflected features that were consistently critical in prediction tasks and clinical practice.

CONCLUSIONS

The introduction of feature associations and feature importance facilitated an effective patient representation and contributed to prediction performance improvement and model interpretation.
Developing an mHealth Application for Empowering Cancer Survivors with Disabilities: A User-Centered Co-Design Approach (Preprint)
Authors: Adler Rachel , Morales Paulina , Sotelo Jocelyn , Magasi Susan
Published: March 2022

BACKGROUND

The transition from active treatment to long-term cancer survivorship leaves the needs of many cancer survivors unaddressed as they struggle with physical, cognitive, psychological, and social consequences of cancer and its treatment. The lack of guidance following treatment has forced cancer survivors to manage long-term effects on their own, impacting their overall health, quality of life, and social participation.

OBJECTIVE

To bridge this gap, we aim to design a self-management mobile health (mHealth) application for cancer survivors with disabilities that will offer interventions to improve their quality of life and increase their self-efficacy to manage cancer as a chronic condition.

METHODS

We organized three co-design workshops with cancer survivors for developing and critiquing personas and prototypes.

RESULTS

These workshops helped us define the challenges cancer survivors with disabilities face as well as important considerations when designing an mHealth app for cancer survivors with disabilities, such as including flexibility, engagement, socialization, and a minimalistic design. We also outline guidelines for other researchers when planning their own co-design workshops.

CONCLUSIONS

Using a user-centered co-design process aided us in developing a prototype of an mHealth application for cancer survivors with disabilities.
Implementation of K-Nearest Neighbor (K-NN) Algorithm For Public Sentiment Analysis of Online Learning
Authors: Isnain Auliya Rahman , Supriyanto Jepi , Kharisma Muhammad Pajar
Published: March 2022

This research was conducted to apply the KNN (K-Nearest Neighbor) algorithm in conducting sentiment analysis of Twitter users on issues related to government policies regarding Online Learning. Research using Tweet data as much as 1825 Indonesian tweet data data were collected from February 1, 2020 to September 30, 2020. Using the python library, Tweepy. word weighting using TF-IDF, will be classified into two classes of sentiment values, positive and negative. After testing with K of 20, the highest accuracy results were obtained when K = 10 with an accuracy value of 84.65% with a precision of 87%, a recall of 86% f measure 87% and an error rate of 0.12% and a tendency was also obtained. public opinion on online learning tends to be positive.
Online Learning Video Recommendation System Based on Course and Sylabus Using Content-Based Filtering
Authors: Ramadhan Faisal , Musdholifah Aina
Published: March 2022

Learning using video media such as watching videos on YouTube is an alternative method of learning that is often used. However, there are so many learning videos available that finding videos with the right content is difficult and time-consuming. Therefore, this study builds a recommendation system that can recommend videos based on courses and syllabus. The recommendation system works by looking for similarity between courses and syllabus with video annotations using the cosine similarity method. The video annotation is the title and description of the video captured in real-time from YouTube using the YouTube API. This recommendation system will produce recommendations in the form of five videos based on the selected courses and syllabus. The test results show that the average performance percentage is 81.13% in achieving the recommendation system goals, namely relevance, novelty, serendipity and increasing recommendation diversity.
Management System Fertilizer Ship Arrival At UPP Semarang Based Website Using Sequential Searching Algorithm
Authors: Susanto Susanto , Meidina Alda Hani
Published: March 2022

The technical improvements of the present era necessitate that everyone understand information and communication technology. The influence can be useful in a range of industries, especially in the workplace. The office management system is a sort of administrative activity aimed at increasing management effectiveness. As a result, data management at PT. Dwimatama Multikarsa Semarang continues to be done manually, particularly in the production department, with data being input into Microsoft Excel software and stored on hard drives or flash drives. In this case, it is ineffective, especially if the data has been lost or corrupted. The author has come up with the idea of computerizing the administration and archiving system in light of the limitations that have been stated. The author uses a sequential searching approach to do a data search. This method will allow users to find information more quickly and effectively. The system was built using the Laravel framework and the Hypertext Preprocessor (PHP) programming language. The study's conclusion is a web-based data management and storage system that uses MySQL databases. Employees can benefit from this technology by being able to handle and save information more effectively and efficiently.
Combination of Coarse-Grained Procedure and Fractal Dimension for Epileptic EEG Classification
Authors: Rahmawati Dien , Rizal Achmad , Silalahi Desri Kristina
Published: March 2022

Epilepsy, cured by some offered treatments such as medication, surgery, and dietary plan, is a neurological brain disorder due to disturbed nerve cell activity characterized by repeated seizures. Electroencephalographic (EEG) signal processing detects and classifies these seizures as one of the abnormality types in the brain within temporal and spectral content. The proposed method in this paper employed a combination of two feature extractions, namely coarse-grained and fractal dimension, a challenge to obtain a highly accurate procedure to evaluate and predict the epileptic EEG signal of normal, interictal, and seizure classes. The result of classification accuracy using variance fractal dimension (VFD) and quadratic support machine vector (SVM) with a number scale of 10 is 99% as the highest one, excellent performance of the predictive model in terms of the error rate. In addition, a higher scale number does not determine a higher accuracy in this study.
Deteksi Kesalahan Pengucapan Huruf Jawa Carakan dengan Jaringan Syaraf Tiruan Perambatan Balik
Authors: Buditama JK Aditya Christya , Atmaji Catur , Putra Agfianto Eko
Published: March 2022

Javanese is an Indonesian culture which needs to be preserved, but many Javanese students make mistakes in the pronunciation of Javanese letters and find it difficult to analyze errors by human teachers because of the limited time and subjective assessment, so a system is needed to detect incorrect pronunciation of Javanese letters. Mispronunciation detection system has been widely applied in foreign languages, but the system has not been implemented for Javanese carakan letters. This research develops the Javanese letters mispronunciation detection system using Back-Propagation Artificial Neural Networks (BP-ANN). The dataset is obtained from the recorded pronunciation of hanacaraka texts by 24 speakers  with 5 repetitions. ALNS method then used to automatically segment the signal into syllables. ANN-PB use statistical value of Mel-Frequency Cepstral Coefficient (MFCC) method with 7 and 14 coefficients. 10-Fold Cross Validation is used to validate and test the system. The Javanese mispronunciation detection using 7MFCC coefficients produces the highest accuracy of 80,07%. While the Javanese mispronunciation detection using 14 MFCC coefficients produces an accuracy of 82.36% at the highest.
Prediction of Sea Surface Current Velocity and Direction Using LSTM
Authors: Zulfa Irkhana Indaka , Novitasari Dian Candra Rini , Setiawan Fajar , Fanani Aris , Hafiyusholeh Moh.
Published: March 2022

Labuan Bajo is considered to have an important role as a transportation route for traders and tourists. Therefore, it is necessary to have a further understanding of the condition of the waters in Labuan Bajo, one of them is sea currents. The purpose of this research is to predict sea surface flow velocity and direction using LSTM. There are many prediction methods, one of them is Long short-term memory (LSTM). The fundamental of LSTM is to process information from the previous memory by going through three gates, that is forget gate, input gate, and output gate so the output will be the input in the next process. Based on trials with several parameters namely Hidden Layer, Learning Rate, Batch Size, and Learning rate drop period, it achieved the smallest MAPE values of U and V components of 14.15% and 8.43% with 50 hidden layers, 32 Batch size and 150 Learn rate drop.
Development of Automated "Hexagonal Obstacle Test" in Sports Agility Measurement
Authors: Firdausi Dzihan Khilmi Ayu , Simbolon Muhammad Eka Mardyansyah
Published: March 2022

The measurement of agility in sports using the "hexagonal obstacle test" which used a stopwatch with human assistance as a tester is believed to be less objective.  In general, this research aims to develop an agility measurement instrument "Hexagonal Obstacle Test" which is able to measure a person's agility electronically and more objectively. Specifically, this research aims to: (1) replace conventional agility measurement, because this measuring instrument will work electronically; (2) developing a hexagonal obstacle test that works electronically by utilizing Infrared (IR)/ Laser Diode and Real-Time Clock (RTC) technology so that it is processed by a microcontroller so that the test is carried out automatically; (3) developing a hexagonal obstacle test that is more modern, practical, effective, objective and efficient. This study uses a research and product development approach which consists of several steps, namely observation, planning and design, experimentation and testing, and analysis. The results of data analysis showed that the product validity value was 0.975146897 and the product reliability value was 0.995983936. We conclude that the hexagonal obstacle test automation product is valid and reliable for measuring agility.
Sistem Pendeteksi Viabilitas Benih Kacang Tanah Berdasarkan Luas Area HSV Color
Authors: Hakimah Haura Fikriyah , Putro Trisno Yuwono , Pramono Sabar , Widajati Eny
Published: March 2022

Peanut seed tetrazolium test evaluation is usually by eye and a microscope. This method has a weaknesses in the accuracy of reading the color intensity, and  is more subjective. The seeds was observed one by one so that the observation is not effective. To make observations more accurate, efficient, and effective, digital image processing can be applied to the seed viability evaluation. The method can be used was the detection of the Hue, Saturation, and Value color area in reading the red color pattern resulting from tetrazolium test.The result is the system can detect a maximum of 25  seeds with an operational time of 22-25 seconds in one detection. Seed classification is the seeds are predicted to normal, abnormal, and dead. The process of classifying seeds is identified based on the red color pattern resulting from the detection of the area of 4 HSV color ranges, namely red (175,100,20:180,255,255), pink (160, 100,20 : 174,150,255), white 1 (175,0,0 : 180,100,255), and white 2 (0,0,0 : 100,255,255). The results show that the accuracy of the system in reading the total number of seeds is 100% with the detection error of  HSV color area is 1.54%.
UrFear Huhu and The Multitude of Peer Gynts sebagai Tawaran Liveness pada Pertunjukan Virtual
Authors: Raditya Michael H.B.
Published: March 2022

This article deals with the “liveness” debate of virtual performance. Liveness is the most discussed issue when various artists choose virtual performances for their work. One of the reasons for the largest number of medium migration from live shows to virtual shows is the Covid-19 pandemic, that throughout 2020. In this article, the issue of liveness is linked to the liveness debate from scholar performance studies, Peggy Phelan, Philip Auslander, and Daniel Meyer-Dinkgräfe. Daniel Meyer-Dinkgräfe suggested that virtual performance have to be formulated differently from live performance. Regarding the suggestion, this article will discuss a virtual performance from Teater Garasi, “UrFear: Huhu and the Multitude Peer of Gynts”. Furthermore, this article investigates the various modes of performance in Teater Garasi performances. This investigation reveals the Moda initiative and special treatment that they did. According to the choice of performance modes and special treatments, Teater Garasi’s can offer the presence of liveness in virtual performance. Artikel ini membahas tentang tawaran liveness pada pertunjukan virtual. Liveness menjadi persoalan yang paling banyak dibicarakan ketika pelbagai seniman memilih pertunjukan virtual sebagai medium mereka berkarya. Salah satu penyebab banyaknya migrasi medium dari pertunjukan langsung ke pertunjukan virtual adalah pandemi Covid-19    yang terjadi sepanjang tahun 2020. Di dalam artikel ini, ihwal liveness akan ditautkan dengan perdebatan liveness dari scholar performance studies, Peggy Phelan, Philip Auslander, dan Daniel Meyer-Dinkgräfe. Khususnya Daniel Meyer-Dinkgräfe menyarankan agar pertunjukan virtual memiliki formulasi yang berbeda dari pertunjukan live. Atas dasar itu, artikel ini akan menautkan pertunjukan virtual Teater Garasi yang bertajuk UrFear: Huhu and the Multitude Peer of Gynts. Lebih lanjut, artikel ini menginvestigasi ragam moda performans pada pertunjukan Teater Garasi. Investigasi ini ditautkan dengan mempertanyakan liveness dan perlakuan khusus yang dilakukan Teater Garasi dalam menciptakan pertunjukannya. Bertolak dari pilihan moda performans dan perlakuan khusus yang ditawarkan, pertunjukan virtual Teater Garasi dapat menjadi tawaran akan hadirnya liveness pada pertunjukan virtual.
Improvisation and Music Education: From the Sonic to Social Attunement
Authors: Dabic Vanja
Published: March 2022

In order to create a relationship to music, artists first need to create a relationship with their inner sound, and the way in which they approach the manifestation of sound from their instrument (whether it'd be through the use of hands, voice, or a plain manifestation of thoughts). Since this process is dialectic in its nature, the ability to develop this type of responsiveness, sometimes referred to as "attunement", is as important in the musical sphere as it is in social exchanges. Therefore, musical practice can play an important role in developing such aptitude among people of all ages. This paper focuses on the factors that stimulate or inhibit expression, through the lens of western classical and Javanese gamelan musical practice. It will be argued that the change of awareness in individual experience, gained through music improvisation can find its reflection on the interactive synchrony in a larger social and cultural frame.
Peran Kapital pada Media Sosial: Pertarungan Kuasa Wacana Tri Rismaharini di Twitter dengan Analisis Jaringan Sosial
Authors: Nagara Grady
Published: March 2022

Penelitian ini bertujuan untuk memotret peranan kapital dan pertarungan kuasa dalam penentuan posisi aktor sosial dan pembentukan polarisasi di dalam perdebatan tentang wacana tentang Tri Rismaharini di Twitter. Twitter, dalam penelitian ini dimaknai sebagai arena digital yang dianalisis melalui pendekatan sosiologi Pierre Bourdieu. Kerangka teoretik Bourdieu menawarkan dinamika konsep antara habitus, kapital, dan arena yang sangat relevan untuk menganalisis pertarungan kuasa wacana di media sosial. Pendekatan Bourdieu memungkinkan peneliti untuk menganalisis dinamika pertarungan dan faktor-faktor apa saja yang menentukan dominasi aktor dalam arena berdasarkan kepemilikan kapital. Penelitian ini merupakan riset digital dengan memvisualisasikan arena melalui struktur jaringan sosial. Oleh sebab itu, perarungan kuasa di sini perlu dianalisis melalui teknik analisis jaringan sosial (social network analysis). Penelitian ini menghasilkan dua temuan utama. Pertama, penelitian ini menemukan bahwa kapital, terutama kapital sosial, sangat berperan dalam menentukan dominasi aktor mengenai perdebatan isu Tri Rismaharini di Twitter. Kedua, pertarungan kuasa yang ditemukan melalui bukti empiris dalam studi ini, menunjukkan bahwa klaster-klaster polarisasi yang terjadi sangat beragam. Namun, banyak klaster wacana yang termarjinalisasi dalam arena karena tidak adanya aktor-aktor dengan kapital yang besar pada klaster tersebut.
Pengantar Redaksi
Authors: (JPS) Jurnal Pemikiran Sosiologi
Published: March 2022

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