bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study
Authors: McKinney Pamela , Cox Andrew Martin , Sbaffi Laura 
Published: June 2019

Background
The tracking, or logging, of food intake and physical activity is increasing among people, and as a result there is increasing evidence of a link to improvement in health and well-being. Crucial to the effective and safe use of logging is a user’s information literacy.

Objective
The aim of this study was to analyze food and activity tracking from an information literacy perspective.

Methods
An online survey was distributed to three communities via parkrun, diabetes.co.uk and the Irritable Bowel Syndrome Network.

Results
The data showed that there were clear differences in the logging practices of the members of the three different communities, as well as differences in motivations for tracking and the extent of sharing of said tracked data. Respondents showed a good understanding of the importance of information accuracy and were confident in their ability to understand tracked data, however, there were differences in the extent to which food and activity data were shared and also a lack of understanding of the potential reuse and sharing of data by third parties.

Conclusions
Information literacy in this context involves developing awareness of the issues of accurate information recording, and how tracked information can be applied to support specific health goals. Developing awareness of how and when to share data, as well as of data ownership and privacy, are also important aspects of information literacy.
Patient and Health Care Provider Experiences With a Recently Introduced Patient Portal in an Academic Hospital in the Netherlands: Mixed Methods Study
Authors: Vreugdenhil Maria M T , Ranke Sander , de Man Yvonne , Haan Maaike M , Kool Rudolf B 
Published: June 2019

Background
In the Netherlands, the health care system and related information technology landscape are fragmented. Recently, hospitals have started to launch patient portals. It is not clear how these portals are used by patients and their health care providers (HCPs).

Objective
The objective of this study was to explore the adoption, use, usability, and usefulness of a recently introduced patient portal in an academic hospital to learn lessons for the implementation of patient portals in a fragmented health care system.

Methods
A mixed methods study design was used. In the quantitative study arm, characteristics of patients who used the portal were analyzed, in addition to the utilization of the different functionalities of the portal. In the qualitative study arms, think-aloud observations were made to explore usability. Focus group discussions were conducted among patients and HCPs of the dermatology and ophthalmology outpatient departments. Thematic content analysis of qualitative data was carried out and overarching themes were identified using a framework analysis.

Results
One year after the introduction of the portal, 24,514 patients, 13.49% of all patients who visited the hospital, had logged in to the portal. Adoption of the portal was associated with the age group 45 to 75 years, a higher socioeconomic status, and having at least one medical diagnosis. Overarching themes from the qualitative analyses were (1) usability and user-friendliness of the portal, (2) HCP-patient communication through the portal, (3) usefulness of the information that can be accessed through the portal, (4) integration of the portal in care and work processes, and (5) HCP and patient roles and relationships.

Conclusions
One year after the introduction of the patient portal, patients and HCPs who used the portal recognized the potential of the portal to engage patients in their care processes, facilitate patient-HCP communication, and increase patient convenience. Uncertainties among patients and HCPs about how to use the messaging functionality and limited integration of the portal in care and work processes are likely to have limited portal use and usefulness.
Design Process and Utilization of a Novel Clinical Decision Support System for Neuropathic Pain in Primary Care: Mixed Methods Observational Study
Authors: Guenter Dale , Abouzahra Mohamed , Schabort Inge , Radhakrishnan Arun , Nair Kalpana , Orr Sherrie , Langevin Jessica , Taenzer Paul , Moulin Dwight E 
Published: June 2019

Background
Computerized clinical decision support systems (CDSSs) have emerged as an approach to improve compliance of clinicians with clinical practice guidelines (CPGs). Research utilizing CDSS has primarily been conducted in clinical contexts with clear diagnostic criteria such as diabetes and cardiovascular diseases. In contrast, research on CDSS for pain management and more specifically neuropathic pain has been limited. A CDSS for neuropathic pain has the potential to enhance patient care as the challenge of diagnosing and treating neuropathic pain often leads to tension in clinician-patient relationships.

Objective
The aim of this study was to design and evaluate a CDSS aimed at improving the adherence of interprofessional primary care clinicians to CPG for managing neuropathic pain.

Methods
Recommendations from the Canadian CPGs informed the decision pathways. The development of the CDSS format and function involved participation of multiple stakeholders and end users in needs assessment and usability testing. Clinicians, including family medicine physicians, residents, and nurse practitioners, in three academic teaching clinics were trained in the use of the CDSS. Evaluation over one year included the measurement of utilization of the CDSS; change in reported awareness, agreement, and adoption of CPG recommendations; and change in the observed adherence to CPG recommendations.

Results
The usability testing of the CDSS was highly successful in the prototype environment. Deployment in the clinical setting was partially complete by the time of the study, with some limitations in the planned functionality. The study population had a high level of awareness, agreement, and adoption of guideline recommendations before implementation of CDSS. Nevertheless, there was a small and statistically significant improvement in the mean awareness and adoption scores over the year of observation (P=.01 for mean awareness scores at 6 and 12 months compared with baseline, for mean adoption scores at 6 months compared with baseline, and for mean adoption scores at 12 months). Documenting significant findings related to diagnosis of neuropathic pain increased significantly. Clinicians accessed CPG information more frequently than they utilized data entry functions. Nurse practitioners and first year family medicine trainees had higher utilization than physicians.

Conclusions
We observed a small increase in the adherence to CPG recommendations for managing neuropathic pain. Clinicians utilized the CDSS more as a source of knowledge and as a training tool than as an ongoing dynamic decision support.
Inventaris Jenis Fitoplankton Di Pulau Pusong, Langsa, Aceh
Authors: Persada Andri Yusman , Navia Zidni Ilman , Saputri Andini , Putri Kartika Aprilia , Al Fajar Beni 
Published: June 2019

Plankton merupakan organisme kecil yang melayang di dalam badan air pada perairan dan memiliki kemampuan bergerak yang pasif. Perubahan kondisi lingkungan menentukan kehadiran komunitas plankton yang hadir. Plankton terbagi menjadi fitoplankton dan zooplankton. Fitoplankton merupakan plankton yang dapat melakukan fotosintesis. Salah daerah pesisir yang berada di Kota Langsa adalah Pulau Pusong. Penelitin ini bertujuan untuk mengetahui jenis fitoplankton apa saja yang terdapat di perairan sekitar Pulau Pusong dan kondisi lingkungan di perairan sekitar Pulau Pusong. Pencuplikan sampel plankton di perairan Pulau Pusong dilakukan sebanyak empat titik sampling. Pengukuran sampel air dilakukan dengan tiga ulangan. Ada 30 jenis fitoplankton yang diperoleh yang terdiri dari genus yaitu Bacillaria, Bacteriastrum, Biddulphia, Ceratium, Chaetoceros, Coscinusdiscus, Dactyliosolen, Dithylum, Eucampia, Leucosolonia, Merismopedia, Navicula, Nitzschia, Odentella, Planktonella, Pseudo-nitzschia, Pyrocystis, Rhizosolenia, dan Thalassionema.
Karakteristik Nanopartikel Magnetite Besi Oksida Lampanah Aceh Besar Melalui Metode Kopresipitasi
Authors: Nengsih Sri 
Published: June 2019

Sintesis pasir besi lampanah Aceh Besar menjadi nanopartikel magnetite besi oksida menjadi tujuan utama dalam penelitian ini untuk mengamati struktur Kristal yang dimilikinya. Sifat Kristalin yang tinggi ketika terjadi perubahan fisis dari material menjadikan kajian ini layak untuk diteliti. Melalui teknik pemisahan menggunakan magnet batang, pasir besi dari alam dipisahkan dari pengotor lalu disaring dengan ayakan yang berukuran 200 mesh. Pasir besi berkualitas baik disintesis dengan menggunakan metode kopresipitasi yang mana pasir besi dilarutkan ke dalam 12 M Asam Klorida 37 % v/v. Larutan tersebut diaduk dan disaring, kemudian hasil larutan dicampurkan dengan 6,5 M ammonia dengan perbandingan ratio campuran 1:7. Melalui proses aduk dan saring, hasil endapan kemudian dikeringkan. Berdasarkan hasil uji XRD, SEM dan Cacah magnetik didapati karakteristik nanopartikel magnetite besi oksida. Berdasarkan data XRD, didapati sudut 2 thetanya 30,105o; 35,45o dan 62,585o dengan indek miller [hkl]: [220], [311] dan [440]. Nilai [hkl] ini menunjukkan bahwa nanopartikel magnetite dari pasir besi Lampanah memiliki struktur kristal Kubik dengan struktur kisinya FCC (Face Center Cubic). Berdasarkan uji SEM, morfologi nanopartikel magnetite besi oksida berbentuk tidak seragam dengan ukuran partikel yang relatif tidak sama berada dalam rentang 800 nm sampai 3000 nm. Sedangkan untuk cacah medan magnetik dalam bentuk pasir besi didapati nilai cacahannya 0,03 mT sedangkan dalam bentuk nanopartikel magnetite diperoleh 0,022 mT. Kesimpulan yang didapati bahwa struktur Kristal dari pasir besi Lampanah semakin terlihat ketika ukuran besi oksida menjadi nanopartikel magnetite. Langkah pengoptimalan dalam preparasi pasir besi menjadi nanopartikel magnetite diperlukan agar ukuran partikelnya di bawah < 100 nm sehingga dapat diaplikasinya dalam bidang elektronik, kesehatan dan sebagainya.
Load Identification Using Harmonic Based on Probabilistic Neural Network
Authors: Anggriawan Dimas Okky , Amsyar Aidin , Prasetyono Eka , Wahjono Endro , Sudiharto Indhana , Tjahjono Anang 
Published: June 2019

Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become important attentionÂ in the power system. According to those problems, this paper proposes a Load Identification using harmonic based on probabilistic neural network (PNN). Harmonic is obtained by experiment using prototype, which it consists of microcontroller and current sensor. Fast Fourier Transform (FFT) method to analyze of current waveform on loads become harmonic load data. PNN is used to identify the type of load. To load identification, PNN is trained to get the new weight. Testing is conducted To evaluate of the accuracy of the PNN from combination of four loads. The results demonstrate that this method has high accuracy to determine type of loads based on harmonic load
AGC of a multi sources power system with natural choice of power plants
Authors: Garg Jitendra Kumar , Khosla Anita , Hakimuddin Nizamuddin 
Published: June 2019

This paper presents an application of optimal control theory in multi sources power system by considering natural choice of power plants participating in automatic generation control (AGC) scheme. However, for successful operation of large power system, the natural choices of generation suitable for AGC system are hydro and thermal power plants since gas and nuclear power plants are rarely participates in the AGC scheme. Therefore, this work presents design and implementation of proportional integral (PI) structured optimal AGC controller in the presence of hydro and thermal power plants by using state vector feedback control theory. Moreover, various case studies are identified to obtain: (i) Cost aspects of physical realization of optimal AGC controller, (ii) Closed loop system stability margin through patterns of eigenvalues and (iii) System dynamic performance. Further, results have shown that when optimal AGC scheme is implemented in power system, the dynamic performance of power system is outstanding over those obtained with genetic algorithms (GAs) tuned PI structured AGC controller. Besides, with optimal AGC controller, cheaper cost of control structure, increased in system closed loop stability margin and outstanding dynamic performance of power system have been found when lessening in hydro generationÂ is replaced by generation from thermal power plants for various case studies under investigation.
FPGA Based Design of Artificial Neural Processor Used for Wireless Sensor Network
Authors: Saeed Azzad Bader , Gitaffa Sabah Abdul-Hassan 
Published: June 2019

In this paper,Â a simulation ofÂ artificial intelligent system has been designed for processingÂ the incoming data ofÂ sensorÂ units and then presenting proper decision. The Back-propagation Neural Network BPNN has been used as the proposedÂ intelligent system for this work, whereas the BPNN is considered as a trained network in conjunction with an optimization method for changing the weights and biases of the overall network. The main two features of theÂ BPNN are: high speed processing, and producingÂ lowest Mean-Square-Error MSE ( cost function ) in few iterations. The proposed BPNN has used the linear activation functions 'Satlins' and 'Satline' for the hidden and output layer respectively, and has used the training function 'Traingda' ( which is gradient descent with adaptive learning rate)Â as a powerful learning method. It is worth to mention, that no previous research used these three functions together for such analysis. The MATLAB software package has been used forÂ designing and testing the proposed system. An optimal result has been obtained in this work, where the value ofÂ Mean-Square-Error has reached to zeroÂ Â in 87 epochs, and the real and desired outputs have been fitted. In fact, there isÂ no previous work has reached to this optimal result.Â The proposed BPNN has been implemented in FPGA, which is fast, and low power tool.
AI-Josyu: Thinking Support System in Class by Real-time Speech Recognition and Keyword Extraction
Authors: Matsumoto Kyohei , Nakanishi Takafumi , Sakawa Toshitada , Onodera Kengo , Orimo Shinichiro , Kobayashi Hiroyuki 
Published: June 2019

In this paper, we present a thinking support system, AI-Josyu. This system also operates as a class support system which helps to teachers for lightening their work. AI-Josyu is implemented based on media-driven real-time content management framework. The system links real world media and legacy media contents together. In resent years, it is easier to collect a large amount of various kinds of data which are created with sensors in the real world. The system realizes interconnection and utilization of legacy media contents. The legacy media contents are generated and scattered on the Internet. The framework has four modules, which are called â€œacquisition,â€ â€œextraction,â€ â€œselection,â€ and â€œretrieval.â€ The real world media and the legacy media contents are interconnected by these modules. This interconnection includes semantic components. This system records teacher's voice of its lecture in real time and presents retrieved legacy media contents corresponding to subject of the lecture. By this presentation, preparing of the legacy contents is not required. This system automatically retrieves and shows the legacy media contents. This system helps students to understand contents of the lecture. In addition, the system attends to expansion of ideas.Â We constructed the system and conducted the demonstration in class. It shows that the system is helpful to teacher and students for expansion of thinking.
Observation of Fish Dissemination Pattern on Madura Coastal Using Segmentation of Satellite Images
Authors: Prabiantissa Citra Nurina , Basuki Achmad , Sesulihatien Wahjoe Tjatur 
Published: June 2019

Almost traditional fishermen still use manual methods to catch fish that rely on experience in fishing and information among fellow fishermen. This method is not effective for maximizing fish production. A good pattern or strategy is needed to increase fish production. In determining dissemination pattern of fish, it can be predicted from physical parameters such as temperature, salinity, chlorophyll, turbidity, total suspended solids, and colored dissolved organic matter using the Landsat 8 images. Â This research area is on the Island of Madura Coast. The pattern is determined by using Lagrange Interpolation and clustering using K-Means. The results of the study of the pattern of fish dissemination were then validated with data from the Dinas Kelautan dan Perikanan Jawa Timur. The results between fish patterns and validation data in 2015 showed similarities in January, February, March, May, June, July, August, September. In 2016, results between fish patterns and validation data showed that similarities in July, August, September, and December. In 2017, results between fish patterns and validation data showed similarities in November. 2015 has the most similarities between the patterns and validation data and the least similarity are 2017.
TRAINING MANAGEMENT AS AN ANTECEDENT OF TRAINING TRANSFER
Authors: Ismail Azman , Foboy Nurul Afiqah , Mohamad Nor Azmawaty , Abdullah Anis Anisah , Ismail Yusof 
Published: June 2019

Present literature related to human resource development highlights that training management is a strategic human resource management policy. This issue has been viewed as a remarkable phenomenon in dynamic organizations. Recent studies mostly published in the 21st century proved that the ability of management to plan and implement training programs may produce a noteworthy effect on work related attitudes, particularly in training transfer. This study incorporates a cross-sectional design as it delivers flexibility to the researchers in incorporating the training management literature, a self-administered questionnaires and semi-structured interview to gather data from participants at a military medical corps using a purposive sampling method. They are the administrators, medical doctors, nurses and supporting staff who work in different divisions within the organization. The SmartPLS path model analysis was utilized to analyze the validity and reliability of the instrument, and thus testing the research hypotheses. The results of SmartPLS path model analysis revealed that the implementation of communication and assignment in managing training programs had led to higher employees’ motivation to transfer, while implementation of support in managing training programs had not led to higher employees’ motivation to transfer in the organizational sample. Therefore, this study further suggests that communication and assignment should be considered as a critical success factor for the training management domain, as well as external and internal obstacles should be comprehensively evaluated to maintain and achieve the training goals in an era of knowledge-based organization. Keywords: Assignment, communication, support, training management, training transfer. Cite as: Ismail, A., Foboy, N. A., Mohamad Nor, A., Abdullah, A. A., & Ismail, Y. (2019). Training management as an antecedent of training transfer. Journal of Nusantara Studies, 4(1), 136-158. http://dx.doi.org/10.24200/jonus.vol4iss1pp136-158
THE STRUCTURAL RELATIONSHIPS OF EXPERIENCE QUALITY, TOURIST SATISFACTION AND DESTINATION LOYALTY: THE CASE OF PANGKOR ISLAND, MALAYSIA
Authors: Hanafiah Mohd Hafiz , Jasmi Ahmad Farhan , Razali Aidil Hafiz Mohammad , Sulaiman Muhamad Sharudin 
Published: June 2019

Previous studies show that a superior tourist experience would lead to travel satisfaction and develop loyalty towards a destination. However, the role and influence of experience quality on tourist behavioural intentions have yet to be thoroughly scrutinized. This study aims at examining the experience quality of Pangkor Island tourists and its effect on their satisfaction and destination loyalty. This research applied the convenience sampling method whereby the survey data were collected conveniently from the tourists visiting Pangkor Island. The data obtained were examined via Partial Least Square-Structural Equation Modelling (PLS-SEM). The structural model assessment proposed that the natural attraction of Pangkor Island, the local behaviour, destination value, safety and cleanliness influence the tourists' satisfaction and destination loyalty. This study contributes to a better understanding of how the quality of tourist experience affect their behavioural mechanisms: travel satisfaction and destination loyalty. The research findings contribute to the literature on island tourism and enrich the existing knowledge of experience quality components and their effect on tourists’ satisfaction and destination loyalty.Keywords: Destination loyalty, experience quality, Pangkor Island, satisfaction, Tourist. Cite as: Hanafiah, M. H., Jasmi, A. F., Razali, A. H. M., & Sulaiman, M. S. (2019). The structural relationships of experience quality, tourist satisfaction and destination loyalty: The case of Pangkor Island, Malaysia. Journal of Nusantara Studies, 4(1), 186-210. http://dx.doi.org/10.24200/jonus.vol4iss1pp186-210
SOLICITATION OF ONLINE SOCIAL SUPPORT: SELF-DISCLOSURE OF EATING DISORDER PATIENTS
Authors: Zulkarnain Nur Azwin , Mohd Jan Jariah 
Published: June 2019

This paper focuses on the online construction of self-disclosure of individuals suffering from eating disorders and demonstrates how strategies of soliciting online social support are mediated within the public sphere. McCormack (2010) indicates that participation of individuals suffering from eating disorders in online support groups, where they anonymously share their feelings and issues via the Internet, is more accessible and non-costly compared to offline settings. This serves as motivation for data to be collected from the discussion forums on the National Eating Disorders Association (NEDA) website. Relevant posts of self-disclosure containing instances of online solicitation of support dated from January 2018 to March 2018 were analysed using the computer-mediated discourse analysis (CMDA) method and North’s (1997) Strategies of Soliciting Social Support. The findings reveal that the sharing of experience is regarded as the most frequent strategy of soliciting support opted by ED patients. This result in a lengthier posts where detailed explanation of their problems were disclosed. It appears that the strategy utilized in online support-solicitation is merely a channel used in portraying the actual state of the support-seekers in handling their illness. In addition, as ED is perceived to be uncommon and unprioritized in Asia (Miller & Pumariega, 2001), the possibility of getting help from various channels may be scarce. Thus, this study’s outcome provides a vivid image on how online social support discussions can be considered as one of the potential effective platforms to help individuals in the Southeast Asia who suffer from ED in their recovery process. Keywords: Computer-mediated discourse, eating disorders, online social support, self-disclosure, soliciting. Cite as: Zulkarnain, N. A. & Mohd Jan, J. (2019). Solicitation of online social support: Self-disclosure of eating disorder patients. Journal of Nusantara Studies, 4(1), 344-364. http://dx.doi.org/10.24200/jonus.vol4iss1pp344-364