bluuebunny/crossref_metadata_2025_split huggingface dataset:
Levels and Correlates of Disability in Life Skills among Patients with Schizophrenia
Authors: Hamaideh Shaher Hamad , Hamdan-Mansour Ayman , Alhamdan Ayat Ahmad 
Published: September 2020

Background:
Schizophrenia is a severe mental disability disorder that affects all life aspects,
including life functioning, general well-being, and overall life skills resulting in prominent impairments
in life functioning.

Objectives:
The objective of the study was to assess life skills and disabilities and its correlates among
Jordanian patients with schizophrenia.

Methods:
A cross-sectional correlational design was used. A convenience sampling technique was
used to recruit 250 hospitalized patients with schizophrenia. Data were collected using a questionnaire
that consisted of demographic variables, Life Skills Profile, Global Assessment of Functioning, and
Positive and Negative Syndrome Scale.

Results:
The level of disability in life skills was 89.23. The highest disability level was observed in
social contact and in communication domains, and the lowest level was in the responsibility domain.
The disability levels regarding family history of psychiatric illness, marital and employment status,
and the number of previous hospitalizations were statistically different (p < .05). The presence of negative
symptoms, global assessment of functioning, psychopathology symptoms, duration of treatment,
and positive symptoms were identified as predictors of the disability in life skills and accounted for
65% of the total variance.

Conclusions:
Planning and conducting life skills programs that help enhance the communication and
social interaction are required to improve life skills.
VitaFALL: Advanced Multi-Threshold Based Reliable Fall Detection
System
Authors: Patel Warish D. , Patel Chirag , Patel Monal 
Published: September 2020

Background:
The biggest challenge in our technologically advanced society is the healthy being of aging
individuals and differently-abled people in our society. The leading cause for significant injuries and early death in senior
citizens and differently-abled people is due to falling off. The possibility to automatically detect falls has increased
demand for such devices, and the high detection rate is achieved using the wearable sensors, this technology has a quite
social and monetary impact on society. So even for the daily activity in the life of aged people, an automatically fall
detecting system and vital signs examining system become a necessity.

Objectives:
This research work aims at helping aged people and every other necessary human by monitoring their vital
signs and fall prediction. A fall detection VitaFALL (Vital Signs and Fall Monitoring) device, could analyze the
measurement in all three orthogonal directions using a triple-axis accelerometer, and Vital Signs Parameters (Heartrate,
Heartbeat, and Temperature monitoring) for the aged and differently-abled people.

Methods:
Comparison with Present Algorithms, there are various benefits regarding privacy, success rate, and design of
devices upgraded using an implemented algorithm over the ubiquitous algorithm.

Results:
As concluded from the experimental outcomes, the accuracy achieved is up to 94%, ADXL335 is a 3-Axial
Accelerometer Module that collects the accelerations of aged people from a VitaFALL device. A guardian can be notified
by sending a text message via GSM and GPRS module so that aged can be helped.

Conclusion:
However, a delay in the time can be noticed while comparing the gradient and minimum value to
predetermine the state of the older person. The experiment results show the adequacy of the proposed approach.
Events in Tweets: Graph-Based Techniques
Authors: Pradhan Abhaya Kumar , Mohanty Hrushikesha , Lal Rajendra Prasad 
Published: September 2020

Background:Mining Twitter streaming posts (i.e. tweets) to find events or the topics of interest has become a hot research problem. In the last decade, researchers have come up with various techniques like bag-of-words techniques, statistical methods, graph-based techniques, topic modelling approaches, NLP and ontology-based approaches, machine learning and deep learning methods for detecting events from tweets. Among these techniques, the graph-based technique is efficient in capturing the latent structural semantics in the tweet content by modelling word co-occurrence relationships as a graph and able to capture the activity dynamics by modelling the user-tweet and user-user interactions.Discussion:This article presents an overview of different event detection techniques and their methodologies. Specifically, this paper focuses on graph-based event detection techniques in Twitter and presents a critical survey on these techniques, their evaluation methodologies and datasets used. Further, some challenges in the area of event detection in Twitter along with future directions of research are presented.Conclusion:A Microblogging services and online social networking sites like Twitter provides a massive amount of valuable information on real-world happenings. There is a need for mining this information, which will help in understanding the social interest and effective decision making on various emergencies. However, event detection techniques need to be efficient in terms of time and memory and accurate for processing such voluminous, noisy and fastarriving information from Twitter.
The Fuzzy AHP Based Intelligent Middleware for Load Balancing in Grid
Computing Environment
Authors: Yadav Jay Kant Pratap Singh , Yadav Sunita 
Published: September 2020

Background:
In grid computing, several computing nodes work together to accomplish a common goal. During
computation some nodes get overloaded and some nodes sit idle without any job, which degrades the overall grid
performance. For better resource utilization, the load balancing strategy of a grid must be improved.

Objective:
A good load balancing strategy intelligently perceives grid information and finds the best node to transfer jobs
from an overloaded node. In our study, we found that the good load balancing strategies have two prominent needs while
decision making i.e. consider multiple parameters and handle uncertainty presents in the grid environment.

Methods:
This paper proposed a model, an intelligent fuzzy middleware for load balancing in a grid computing
environment (IFMLBG) which fulfilled both the needs. The processing of IFMLBG is based on Chang’s extent analysis
for the fuzzy analytical hierarchy process (FAHP). FAHP hierarchically structured the load-balancing problem and used
the non-crisp input to handle the uncertainty of the grid environment. Chang’s analysis is performed to generate weights
to prioritize nodes and find the best one.

Results:
The results show that the IFMLBG Model assigned more weight to the best-selected node as compared to the
AHP model and performs well with prudent nodes and criteria.

Conclusion:
This paper comprehensively described the design of an Intelligent Fuzzy middleware for Load Balancing in
Grid computing (IFMLBG) which used Chang’s extent analysis for FAHP and implemented using four parameters and
four computing nodes. The Chang’s extent analysis for FAHP takes triangular fuzzy numbers as input and generates
weights for nodes. We compared IFMLBG with the classical AHP model on thirteen datasets and concluded that
IFMLBG gives more weight to select the node as compare to the AHP model. The results also show that IFMLBG would
work better with the number of parameters and computing nodes.
The Outbreak of Novel Coronavirus-a New Type of Threat in 2020: Genesis, Detection, Treatment, and Management
Authors: Mohan S. Dinesh , Santhosha D. , Gupta V.R.M. , Mrunalini S. 
Published: September 2020

Background:
COVID-19 is a new, health-threatening infectious disease in the world in 2020
and is caused by a novel coronavirus SARS-CoV-2. As of July 13, 2020, 4,881,579 active cases of
COVID-19 were diagnosed, and 571,080 deaths were reported globally. In India, 301,850 active cases
and 23,187 deaths were reported. To date, no effective treatment is available against the deadly virus
SARS-CoV-2. Drug manufacturers, institutional laboratories, and other organizations have started developing
vaccines to combat COVID-19 infection.

Methods:
Science Direct, Elsevier, PubMed, Scopus, and Nature databases were referred to know the
current scenario of the disease. Moreover, recent data have been obtained from the World Health Organization,
Centre of Disease Control, case studies, newspapers, and Worldometer reports. Data of Vaccine
Centre at the London School of Hygiene & Tropical Medicine, Clinicaltrials.gov, and US National
Library of Medicine have also been accessed to obtain the latest information about ongoing clinical trials.

Results:
The primary source of the SARS-CoV-2 outbreak is connected to the Hunan seafood and live
animal market in Wuhan city, Hubei Province, China. Like; SARS-CoV, and MERS-CoV, SARS-CoV-
2 is also a zoonotic virus affecting the lower respiratory tract in humans. The pathogenesis of COVID-
19 involves attachment of its Spike (S) protein to the angiotensin-converting enzyme 2 (ACE2) receptor
in the lower respiratory tract in humans. The most common symptoms of COVID-19 are fever, cough,
sore throat, fatigue, headache, myalgia, septic shock, and breathlessness. Few patients with COVID-19
infection experience diarrhea, vomiting, and abdominal pain. Currently, FDA approved drugs being used
to treat COVID-19.

Conclusion:
This review article presents the importance of traditional Indian herbs recommended by
AYUSH as precautionary and curative measures of COVID-19 until vaccines and drugs are made available.
Moreover, this article discussed the origin, symptoms, mode of transmission, management, and
diagnostics techniques for the detection of the SARS-CoV-2 virus.
The Complex Relationship Driving Technology Transfer: The Potential Opportunities Missed by Universities
Authors: Lipinski John , Minutolo Marcel C. , Crothers Laura M. 
Published: September 2020

Since the Bayh-Dole act, decreased federal funds to research-intensive and extensive universities resulted in a search for alternative resources to continue research activities. Changes made by higher education institutions in strategic orientation initiated the development of technology transfer offices designed to support patent development, licensure to corporations, and spin-off of entrepreneurial efforts. Researchers seek explanatory models to understand variances in university success; however, current models lack full descriptive power. Therefore, we first identify the current research base on technology transfer; propose an alternative view; and, recommend propositions and future research.
Neural Network–Based Algorithm for Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers: Retrospective Observation and Algorithm Development Study
Authors: Mohammadi Ramin , Atif Mursal , Centi Amanda Jayne , Agboola Stephen , Jethwani Kamal , Kvedar Joseph , Kamarthi Sagar 
Published: September 2020

Background
It is well established that lack of physical activity is detrimental to the overall health of an individual. Modern-day activity trackers enable individuals to monitor their daily activities to meet and maintain targets. This is expected to promote activity encouraging behavior, but the benefits of activity trackers attenuate over time due to waning adherence. One of the key approaches to improving adherence to goals is to motivate individuals to improve on their historic performance metrics.

Objective
The aim of this work was to build a machine learning model to predict an achievable weekly activity target by considering (1) patterns in the user’s activity tracker data in the previous week and (2) behavior and environment characteristics. By setting realistic goals, ones that are neither too easy nor too difficult to achieve, activity tracker users can be encouraged to continue to meet these goals, and at the same time, to find utility in their activity tracker.

Methods
We built a neural network model that prescribes a weekly activity target for an individual that can be realistically achieved. The inputs to the model were user-specific personal, social, and environmental factors, daily step count from the previous 7 days, and an entropy measure that characterized the pattern of daily step count. Data for training and evaluating the machine learning model were collected over a duration of 9 weeks.

Results
Of 30 individuals who were enrolled, data from 20 participants were used. The model predicted target daily count with a mean absolute error of 1545 (95% CI 1383-1706) steps for an 8-week period.

Conclusions
Artificial intelligence applied to physical activity data combined with behavioral data can be used to set personalized goals in accordance with the individual’s level of activity and thereby improve adherence to a fitness tracker; this could be used to increase engagement with activity trackers. A follow-up prospective study is ongoing to determine the performance of the engagement algorithm.
The Utility of Predicting Hospitalizations Among Patients With Heart Failure Using mHealth: Observational Study
Authors: Cartledge Susie , Maddison Ralph , Vogrin Sara , Falls Roman , Tumur Odgerel , Hopper Ingrid , Neil Christopher 
Published: September 2020

Background
Heart failure decompensation is a major driver of hospitalizations and represents a significant burden to the health care system. Identifying those at greatest risk of admission can allow for targeted interventions to reduce this risk.

Objective
This paper aims to compare the predictive value of objective and subjective heart failure respiratory symptoms on imminent heart failure decompensation and subsequent hospitalization within a 30-day period.

Methods
A prospective observational pilot study was conducted. People living at home with heart failure were recruited from a single-center heart failure outpatient clinic. Objective (blood pressure, heart rate, weight, B-type natriuretic peptide) and subjective (4 heart failure respiratory symptoms scored for severity on a 5-point Likert scale) data were collected twice weekly for a 30-day period.

Results
A total of 29 participants (median age 79 years; 18/29, 62% men) completed the study. During the study period, 10 of the 29 participants (34%) were hospitalized as a result of heart failure. For objective data, only heart rate exhibited a between-group difference. However, it was nonsignificant for variability (P=.71). Subjective symptom scores provided better prediction. Specifically, the highest precision of heart failure hospitalization was observed when patients with heart failure experienced severe dyspnea, orthopnea, and bendopnea on any given day (area under the curve of 0.77; sensitivity of 83%; specificity of 73%).

Conclusions
The use of subjective respiratory symptom reporting on a 5-point Likert scale may facilitate a simple and low-cost method of predicting heart failure decompensation and imminent hospitalization. Serial collection of symptom data could be augmented using ecological momentary assessment of self-reported symptoms within a mobile health monitoring strategy for patients at high risk for heart failure decompensation.
Toponimi Desa di Kabupaten Banjarnegara
Authors: A. Hersy Ardianty 
Published: September 2020

Toponimi merupakan fenomena bahasa yang terjadi sejak manusia ingin mengidentifikasi serta memberikan nama pada rupa bumi. Proses pemberian nama tersebut tidak bisa lepas dari aspek kebahasaan, lingkungan, maupun kondisi sosial-budaya masyarakat setempat. Penelitian ini bertujuan untuk mendeskripsikan satuan kebahasaan, beserta latar belakang penamaan nama-nama desa di Kabupaten Banjarnegara. Penelitian dilakukan dengan tiga tahapan meliputi, penyediaan data, analisis data, dan penyajian hasil analisis data. Penyediaan data dilakukan dengan metode simak dan wawancara. Data berupa nama-nama desa di Kabupaten Banjarnegara dikelompokkan berdasarkan satuan kebahasaan, selanjutnya ditelusuri latar belakang dibalik penamaan desanya. Hasil penelitian ini berupa satuan kebahasaan yang berwujud kata monomorfemis, kata polimorfemis berafiks meliputi sufiks, infiks dan prefiks, dan kata polimorfemis majemuk. Adapun latar belakang penamaan diklasifikasikan berdasarkan makna yakni, aspek perwujudan meliputi wujud air, rupa bumi, dan tumbuhan; aspek kemasyarakatan meliputi harapan dan profesi; dan aspek kebudayaan berupa legenda. Selanjutnya, hasil analisis data disajikan dengan metode informal.
Toponimi Kampung Njeron Beteng dan Njaban Beteng Keraton Yogyakarta
Authors: Jayanti Arum 
Published: September 2020

Penelitian deskriptif eksploratif ini mencoba membahas bentuk satuan kebahasaan toponimi kampung di Njeron dan Njaban Beteng Keraton Yogyakarta, makna toponimi kampung di Njeron dan Njaban Beteng Keraton Yogyakarta, dan sistem penamaan kampung dan kaitannya dengan sejarah dan budaya Keraton Yogyakarta. Dari data penelitian nama kampung di Njeron dan Njaban Beteng Keraton Yogyakarta, ditemukan tiga hal: (1) bentuk satuan kebahasaan kampung di Njeron dan Njaban Beteng Keraton Yogyakarta terdiri atas satu sampai tiga morfem, (2) afiksasi {-an}, {pa-/-an}, {ka-/-an}, {ng-}, dan {ng-/-an} melekat dalam penamaan kampung Njeron dan Njaban Beteng; (3) Ditemukan delapan pola toponimi kampung di Njeron Beteng Keraton Yogyakarta, yakni (a) Nama Pangeran/Putri/Bangsawan, (b) Keahlian Abdi Dalem, (c) Abdi Dalem Jabatan, (d) Abdi Dalem Kesatuan Prajurit, (e) Flora, (f) Bangunan, (g) Petilasan, dan (h) Rupabumi, dan lima belas pola toponimi kampung di Njaban Beteng Keraton Yogyakarta, yakni (a) Nama Pangeran/Putri/Bangsawan, (b) Nama Abdi Dalem, (c) Keahlian Abdi Dalem, (d) Abdi Dalem Jabatan (e) Abdi Dalem Kesatuan Prajurit, (f) Flora, (g) Petilasan, (h) Aktivitas, (i) Komunitas Etnis, (j) Pekerjaan Penduduk, (k) Benda Kerajinan, (l) Folkor, (m) Rupabumi, (n) Pola Permukiman, dan (o) Harapan.
Involucrar a los estudiantes al usar Zoom
Authors: Sánchez Mendiola Melchor 
Published: September 2020

El video invita al lector a utilizar un sistema de videoconferencia como Zoom para generar una interacción real con y entre los estudiantes. Se proponen cinco maneras de involucrar a los estudiantes: promover que los aprendices hablen, utilizar la herramienta de votación, invitar a los alumnos a escribir en el chat mientras otros hablan, trabajar en pequeños grupos y compartir trabajos a través de videos, documentos, presentaciones y el uso de pantalla en blanco para escribir o dibujar colaborativamente. Video disponible en: https://youtu.be/S9nTlWltDdw
El Juego de Baricco
Authors: Morales Rafael 
Published: September 2020

Se hace una reseña del libro The Game de Alessandro Baricco (2019), en el cual el autor ofrece una explicación de la Revolución Digital como producto de una insurrección contra la cultura que llevó a los horrores del siglo XX y a la amenaza de desaparición de la humanidad. Se hace una breve presentación de las ideas de Baricco, así como de las implicaciones que observa para la escuela.
THE QUALITY OF IT PROJECT MANAGEMENT: THE BUSINESS PROCESS AND THE GO PROJECT LEAN APPLICATION
Authors: Nusraningrum Dewi , Jaswati Jaswati , Thamrin Hakiman 
Published: September 2020

This study is analyzing dominant aspects that affect the quality of software-based project development from the point of view of project management. The purpose of this study is to determine the effect of the business process and Go Project Lean (GPL) application on the quality of information technology project management. The research using a quantitative approach by conducting a survey as the research technique. Questionnaires were using the Likert Scale and developed based on the indicators of variables. The population of this study is the users of the GPL application which are the Sales Division, Project Management Office Division, and Application Development Division of PT. Infomedia Nusantara. Data were analyzed using multiple linear regression method and the hypothesis tested using the T-test. The results showed that the influence of business process and GPL Application is very strong and significant to the quality of IT project management. The implication of these findings caused by one of the dimensions which are no investment feasibility analysis calculation application that affects on-time delivery.
The Practice of Expropriation through Related Party Transactions In Indonesia
Authors: Kharista Malinda , Purnomosidhi Bambang , Subekti Imam 
Published: September 2020

The purpose of this study to examine the influence of governance toward an expropriation practice in Indonesia and to examine the institutional ownership that acts as a moderator in strengthening the effect of corporate governance toward an expropriation practices as measured by related party transactions. This study uses panel data regression analysis. The results showed that corporate governance negatively affects the practice of expropriation and institutional ownership cannot strengthen the influence of corporate governance toward an expropriation practice. This research contributes to the type II agency theory (conflicts between controlling and non-controlling shareholders), which can be minimized by implementing corporate governance.
The Influence of Client Corporate Social Responsibility Performance Information on Auditor Judgments
Authors: Hickman L. Emily , Cote Jane M. , Sanders Debra , Weber T. J. 
Published: September 2020

ABSTRACT
Our experiment, with 106 practicing auditors, tests whether audit judgments are influenced by client CSR performance, individual auditors' views of CSR, and auditors' perceptions of client risk induced by CSR performance. Results indicate auditor judgments are less (more) conservative for clients with positive (negative) environmental performance. We find that client risk assessments mediate the link between environmental performance and account-level judgments. In contrast, results indicate that socially-oriented performance has no overall significant influence on audit judgments in our experiment. Overall, our results indicate that different dimensions of CSR and the salience of the CSR issue can have differential effects on audit judgments.
Data Availability: Data available upon request.
Research Initiatives in Accounting Education: Serving and Enhancing the Profession
Authors: Brink Alisa G. , Reichert Bernhard E. 
Published: September 2020

ABSTRACTThe accounting profession is experiencing unprecedented changes due to forces such as technological advancement and increased global interactions. Researchers and educators in accounting are well positioned to provide valuable insight that guides this change process through well-executed education research. We identify research questions related to five topical areas impacted by the changing accounting environment. Research in these areas can significantly serve and enhance the accounting profession. Specifically, we discuss questions related to (1) factors affecting the entry-level hiring process, (2) technology and professional interactions, (3) accountants' professional identity, (4) continuing professional education (CPE), and (5) academic collaboration with the profession.