bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating workload impacts on lecturer mental health and productivity in indonesian private universities: A case study from bandung
Authors: Suwarsi Sri , Ridwan Riana , Fauzan Nizar
Published: August 2024

This research investigates the interplay between workload, mental health, and productivity among faculty members at private universities in Indonesia, focusing on an institution in Bandung City. It aims to understand how these factors affect academic staff's efficiency and well-being. Employing an associative causality explanatory survey, data from 90 permanent lecturers were collected through probability sampling using the Slovin formula. Advanced statistical tools, including path analysis, multiple linear regression, and correlation analyses, examined effects at a 5% significance level. Results reveal a significant workload burden, with lecturers facing extensive course preparation and research duties beyond normal hours. Despite challenges, resilience and capacity for innovation and goal-setting were observed. An inverse relationship between workload and productivity emerged, with mental health positively impacting productivity levels. Limited to one university, suggesting broader research for generalizability. Advocates for collaborative research and holistic well-being practices to boost lecturers' mental health and productivity, emphasizing systemic academic environment changes for a supportive workplace. Highlights the importance of prioritizing faculty mental health in educational institutions. This study uniquely contributes to understanding the workload, mental health, and productivity nexus among Indonesian university lecturers. It enriches academic staff welfare discourse, offering actionable recommendations for fostering a healthier work environment within educational settings.
Using debates in teaching speaking to EFL learners: Perceptions of English department students
Authors: Deliana Deliana , Ganie Rohani
Published: August 2024

Speaking is often considered a critical determinant of student achievement in learning English as a foreign language. Consequently, numerous studies have been conducted to explore the methods, techniques, and strategies that best develop students’ speaking abilities. One of the promising methods for teaching speaking is debate. This paper aims to investigate how debates are utilized in teaching speaking to English Department students and to analyze their perceptions of the techniques and strategies employed by their lecturers in debate instructions. This descriptive study involves English Department students as research participants. The data were collected through observations and questionnaires distributed to 42 students. The observations focused on identifying the techniques and strategies used by the lecturers in teaching speaking using debates, while the questionnaires aimed to capture students’ perceptions of these debate instructions. An interactive model was applied to analyze data from the observations, and a 4-Point Likert Scale was employed to evaluate the questionnaire responses. The findings reveal two main insights: (i) the techniques and strategies used by lecturers in teaching speaking using debates emphasize students’ active participation; and (ii) the students hold positive perceptions of the techniques and strategies used by their lecturers in debate instructions. Additionally, the study highlights the importance of incorporating debate as a method to foster critical thinking, effective communication, and collaborative learning among students. Furthermore, the results suggest that debates not only improve students’ speaking skills but also enhance their confidence and ability to articulate arguments coherently. It is concluded that debate can be an effective method for teaching speaking to university students, especially when employing techniques and strategies promoting students’ active participation. This study contributes to the growing body of research advocating for innovative and interactive methods in language education, emphasizing the value of debate in developing proficient and confident speakers.
Game on: Exploring the impact of gamified features on travel app continuance intention
Authors: Kaur Navjit , Mohit Jamwal  , Pritpal Singh  , Avinash Rana
Published: August 2024

Despite an increase in the inclusion of gamified features backed by new age technologies in travel mobile applications by firms, there is a scarcity of literature examining their role in elucidating the user's intention to continue using the application. In order to answer this research query, a survey of travel app users is conducted wherein the effect of gamified features on user app engagement and continuance intention is assessed. The data from 287 users of a gamified mobile booking app were collected and analyzed by Structural equation modeling using SPSS AMOS 24. Results found gamified features like rewards, interactivity, aesthetics, and novelty in mobile travel applications have a direct impact on user engagement. Additionally, the relationship between user’s app engagement and continuation intention is partially mediated by travel app satisfaction. In addition, both theoretical and practical implications are offered.
Arbitrage opportunities in the energy equity futures - A study from Indian perspective
Authors: Kepulaje Abhaya Kumar , Pinto Prakash , Hawaldar Iqbal Thonse , Nanaiah A. A. Bhavan , Ramesh K. G. , Popescu Virgil , Birau Ramona
Published: August 2024

This study aimed to examine the opportunity for arbitrage in Indian energy equity futures. Contract-wise historical spot and futures data were gathered for ten selected energy companies. The cost of carry model was used to compute the theoretical values of the futures. To generalize the results, the T-test was applied, and the run test was used to assess the randomness of the arbitrages during the contract period. The T-test results revealed that, after factoring in brokerage and taxes, most of the selected companies' arbitrage values were not equal to zero. The results of the test indicated that the arbitrage opportunities were not random during the contract period; they are highest at the beginning of the contract and gradually decrease as the delivery date approached. This study serves as a valuable reference for the traders, investors, and policymakers in the Indian market.
Kelimpahan Dan Keanekaragaman Ikan Karang Pada Lokasi Transplantasi Karang Di Pantai Harlem Teluk Depapre Kabupaten Jayapura
Authors: Paulangan Yunus Pajanjan , Wally Alex Ricko
Published: August 2024

Coral transplantation is a method of planting and growing a coral colony using the fragmentation method with the aim of accelerating the regeneration of damaged coral reefs, or as a way to improve the coral reef ecosystem. The aim of this research is to determine the abundance and diversity of coral fish in the transplant area which was carried out by the Center for Marine Resources and Fisheries Studies in collaboration with PT. PLN (Persero) Main Unit for Papua and West Papua Regions on Harlem Beach, Tablasufa Village. Data collection on reef fish was carried out using the underwater visual census method. The abundance of reef fish analyzed was a group of major fish, indicator fish and target fish, and the Diversity Index used Shannon-Wiener. Based on the research results, there were 437 reef fish found in monitoring I and 589 reef fish in monitoring II with a total of 35 species from 10 families dominated by major fish groups, namely around 82.52-88.56%, and target fish. which is around 10.98-17.15%. The highest abundance of individual reef fish was found in Monitoring II. This shows that the number of reef fish presence is increasing. On the one hand, higher diversity was found in monitoring I, namely 2.00 than monitoring II, namely 1.90. Based on the Shannon-Wiener category, the diversity index is categorized as moderate. This diversity index is thought to be because transplantation has not been effective in functioning as a habitat for reef fish, as indicated by the very low presence of indicator fish, namely only around 0.34-0.46%. The research results show that coral transplantation has had a positive impact on improving reef fish habitat and coral reef ecosystems.
Identifikasi Sifat-Sifat Fisik Mata Jaring Gillnet Terubuk (Tenualosa macrura)
Authors: Mardiah Ratu Sari , Krisnafi Yaser , Hutapea Roma Yuli F , Mathius Tiku  , Sony Anwar
Published: August 2024

The aim of this research is to identify changes in net geometry and analyze the correlation between the physical properties of the net and the geometry of the net that has been used for 1 to 3 years. The research used an experimental method by directly measuring the geometry of the net, namely mesh size, net diameter and knot height. The research also analyzed data on breaking strength and net elongation which were correlated with net geometry. The condition of the net when tested was dry. There were 4 treatments used in the research, namely control nets, nets that had been used by fishermen for 1, 2 and 3 years. The results of the research stated that the highest average gillnet mesh size value was for the 2 year net treatment and the lowest was 3 years. The highest average value of net diameter was the 1 year net and the lowest was the 2 year net. Meanwhile, the highest average gillnet node height is 1 year and the lowest is 3 years. The correlation value of net geometry with breaking strength has varying values. Breaking strength is closely related to the height of the knots in the mesh with a positive value of 0.77, whereas for mesh elongation all the mesh geometry indicators have negative values, so each increase in the mesh geometry value will decrease the elongation value.
Analisis Kesesuaian dan Daya Dukung Ekowisata Mangrove Teluk Urfu, Kabupaten Biak Numfor
Authors: Rumbiak Kristhopolus K. , Rejauw Korinus , Dimara Lisiard
Published: August 2024

Urfu Bay is a relatively new marine tourism destination and quite a favorite among the people of Biak Numfor. The Tourism Awareness Group (POKDARWIS) of Urfu Village is developing mangrove tourism. At the same time, scientific data is not yet available on the area's suitability level and the environment's carrying capacity for mangrove tourism activities. Hence, this research must be carried out to support the sustainable management of Urfu Bay mangrove tourism. The objectives of this study are: (1) knowing the tourism suitability index (IKW); and (2) knowing the carrying capacity of the Urfu Bay mangrove ecosystem (DDK). The study time is six months, which is April to September 2023. This research is located in the mangrove ecosystem of Urfu Bay, Biak Numfor Regency. The research method used is a survey, while random sampling techniques, observation, interviews, and literature studies carry out data collection. The results showed that the mangrove ecosystem of Urfu Bay: (1) Very suitable as a mangrove tourism area with a tourism suitability index (IKW) value of 2.85; and (2) Has an Area Carrying Capacity (DDK) of 381 people per day. This study concludes that the mangrove ecosystem of Urfu Bay is very suitable and prospective for developing mangrove tourism.
Analisis Biodiversitas dan Fungsi Lamun Sebagai Spawning Ground Ikan Siganus spp. di Pesisir Perairan Pulau Numfor Provinsi Papua
Authors: Rejauw Korinus , Manalu Khristhoper Aris. A , Dimara Lisiard , Kainama Tamara L.J
Published: August 2024

Local people on Numfor Island are very dependent on coastal and marine natural resources around it, including making seagrass ecosystems as an area to find and capture various marine life to meet their daily needs. Intensive fishing activities cause stress on seagrass ecosystem biota, one of which is Siganus spp. It is known, that some Siganus fish live and breed in seagrass ecosystems, so the existence of habitat and the continuity of their life cycle needs to be studied for scientific data on Numfor Island. The objectives of this study are: (1) analysing seagrass biodiversity, and (2) identifying spawning ground Siganus spp. The research method used is a survey, while data collection is through square line transect techniques, in situ measurements, and interviews (questionnaires). The results of the study obtained are: [1] Seagrass dominance index is low; [2] The Shannon-Wiener Index (H') is moderate at Kansai, Kornasoren, and Andei stations, while at Bawei, Mandori, and Wansra stations are low; [3] Seagrass evenness index is classified as the community in stable condition at Kansai and Bawei stations, while at Kornasoren, Andei, Mandori, and Wansra stations classified as community in unstable condition; and [4] The identified spawning ground locations of Siganus spp. fish on Numfor Island are Kansai, Bawei, Mandori, and Wansra stations. This study concludes that there are no dominant seagrass species and stable ecosystems, medium and low diversity with moderate and severe ecological (environmental) pressures, and seagrass uniformity in stable and unstable conditions
Pengaruh Penggunaan Media Video Terhadap Pengetahuan Dan Sikap Pemilihan Makanan Jajanan Pada Anak Sekolah
Authors: Rahmadhayanti Rahmadhayanti , Fathurrahman  , Mas'odah Siti
Published: August 2024

Masalah gizi sering terjadi pada anak sekolah, prevalensi kurus di Kabupaten Hulu Sungai Selatan tergolong tinggi yaitu 14.64%. Pemilihan jajan perlu lebih diperhatikan karena anak cenderung memilih kemasan yang unik dan menarik tanpa mengetahui dampaknya. Penyuluhan dengan media video terbukti efektif dalam meningkatkan pengetahuan. Penelitian ini untuk mengetahui pengaruh penggunaan media video terhadap pengetahuan dan sikap pemilihan makanan jajanan pada anak usia sekolah di SDN Bamban Utara, Kabupaten Hulu Sungai Selatan. Jenis penelitian true experiment menggunakan rancangan pre-test dan post-test with control group. Populasi yaitu siswa kelas 4, 5 dan 6 dengan sampel 72 orang yang diambil dengan metode Random Sampling. Data pengetahuan dan sikap diperoleh dengan wawancara menggunakan alat bantu kuesioner. Analisis data menggunakan uji Wilcoxon. Pada kelompok eksperimen 38.9% berusia 12 tahun sedangkan kelompok kontrol 36.1% berusia 11 tahun, kedua kelompok 55.6% perempuan, Sebelum perlakuan skor pengetahuan siswa termasuk baik yaitu kelompok eksperimen 41.7% kemudian sesudah perlakuan meningkat menjadi 83.3%, kelompok kontrol dari 47.2% menjadi 72.2%. Skor sikap sebelum perlakuan termasuk baik yaitu kelompok eksperimen 61.1% meningkat menjadi 86.1%, kelompok kontrol dari 66.7% menjadi 69.4%. Hasil analisis diketahui p value 0.000 bahwa ada pengaruh penyuluhan dengan metode ceramah dan diberi penayangan video terhadap pengetahuan dan sikap siswa. Serta p value 0.000 dan 0.004 atau ada pengaruh penayangan video terhadap pengetahuan dan sikap siswa. Kesimpulan, ada pengaruh penayangan video terhadap pengetahuan dan sikap siswa
Kajian Sifat Sensorik Biskuit dengan Substitusi Tepung Kulit Pisang Kepok (Musa Paradisiaca Linn) dan Tepung Terigu
Authors: Sofiyatinreni
Published: August 2024

Kulit pisang kepok merupakan bahan buangan (limbah buah pisang) yang cukup banyak jumlahnya. Namun, pemanfaatan kulit pisang kepok sangat jarang karena adanya sifat organoleptik yang kurang disukai. Pembuatan biskuit dengan substitusi tepung kulit pisang kepok diharapkan dapat meningkatkan daya terima kulit pisang kepok dan dapat dijadikan sebagai makanan selingan (snack) yang lebih sehat dan bergizi. Mengetahui pengaruh substitusi tepung kulit pisang kepok dan tepung terigu terhadap sifat sensorik Biskuit. Penelitian ini menggunakan metode eksperimental dengan Rancangan Acak Lengkap (RAL) dengan 3 aras perlakuan substitusi tepung kulit pisang kepok dan tepung terigu (30:70%, 40:60% dan 50:50%). Data sifat organoleptik dikumpulkan dengan uji organoleptik metode hedonic dengan 5 skala dan diolah secara statistic menggunakan Analysis of Varians (One Way Anova) pada tingkat kepercayaan 95% (ɑ<0,05). Ada pengaruh yang signifikan (p<0,05) terhadap warna, aroma, rasa dan overall pada biskuit. Perlakuan terbaik substitusi tepung kulit pisang kapok dan tepung terigu (40 %: 60 %) menghasilkan tingkat kesukaan terhadap tektur, warna dan aroma dalam kategori suka dan rasa agak suka. Biskuit dengan substitusi tepung kulit pisang kepok dan tepung terigu perlakuan 40 %: 60 % berpengaruh secara signifikan terhadap sifat sensorik biskuit yang dihasilkan.
Pengaruh Edukasi Gizi Seimbang dengan Media Video Motion terhadap Tingkat Pengetahuan, Perilaku Gizi Seimbang dan Kebiasaan Konsumsi Junk Food pada Remaja
Authors: Rina Shopia  , Mahpolah  , Mas’odah Siti
Published: August 2024

Pendidikan gizi yang tidak efektif berdampak pada pengetahuan remaja yang kurang tentang gizi seimbang, sehingga menyebabkan perilaku yang negatif. Oleh karena itu, diperlukan suatu metode edukasi gizi untuk meningkatkan pengetahuan, perilaku  dan kebiasaan konsumsi junk food. Penelitian ini bertujuan untuk mengetahui pengaruh edukasi gizi dengan media video motion terhadap tingkat pengetahuan, perilaku gizi seimbang dan kebiasaan konsumsi  junk food pada remaja. Jenis penelitian ini adalah quasi experimental dengan rancangan pre-test dan post-test. Populasi dalam penelitian ini seluruh remaja di Posyandu Remaja yang berusia 12-19 tahun. Penentuan sampel dengan teknik purposive sampling sebanyak 94 orang. Analisis data uji yang digunakan adalah Uji Wilcoxon dan Uji Mann Whitney. Berdasarkan kategori sebelum edukasi tingkat pengetahuan 42% kelompok eksperimen, 51% kontrol, perilaku gizi seimbang kelompok eksperimen 66%, 57% kontrol, kebiasaan konsumsi junk food kelompok eksperimen 34%, kontrol, 46%. Sedangkan sesudah edukasi tingkat pengetahuan 100% kelompok eksperimen maupun kontrol, perilaku gizi seimbang 93% kelompok eksperimen, 89% kontrol, kebiasaan konsumsi junk food 53% kelompok eksperimen, 48% kontrol. Berdasarkan Uji Wilcoxon pada kelompok eksperimen ada pengaruh bermakna tingkat pengetahuan sebelum dan sesudah edukasi (p: 0,000), perilaku gizi seimbang (p: 0,000), kebiasaan konsumsi junk food (p: 0,000). Pada kelompok kontrol sebelum dan sesudah edukasi tingkat pengetahuan (p: 0,000), perilaku gizi seimbang (p: 0,000), sedangkan tidak ada pengaruh bermakna kebiasaan konsumsi junk food (0,375). Berdasarkan penelitian sesudah edukasi ada perbedaan antara kelompok eksperimen dan kontrol terhadap tingkat pengetahuan, perilaku gizi seimbang, tetapi tidak ada perbedaan terhadap kebiasaan konsumsi. Responden lebih mempelajari tentang gizi seimbang dan kepada peneliti selanjutnya lebih mencari tahu batasan materi pada kelompok kontrol.
Comparative Study of Risk Factors Associated with Normal Cognition and Cognitive Impairment in Rural West Elderly Texans
Authors: Khan Hafiz , Farhana Fardous , Mostafa Fahad , Rafiq Aamrin , Nizia Effat Walia , Razzaq Refaya , Atique Rumana , Dauenhauer Megan , Zabin Zawah , Palle Komaraiah , Reddy P. Hemachandra
Published: August 2024

Background:

Alzheimer’s disease (AD) is related to one or more chronic illnesses, which may develop cognitive decline and dementia. Cognitive impairment is increasing, and public health officials must address risk factors for AD to improve the health of rural West Texas communities.

Objective:

The purpose of this study was to explore the sociodemographic and chronic disease risk factors related to cognitive impairment among elderly adults living in Cochran, Parmer, and Bailey counties in rural West Texas.

Methods:

Statistical methods such as Pearson’s chi-squared, proportion tests, univariate binary logistic regression, and a multivariable logistic regression were utilized to analyze data. SPSS software was used to detect the significant relationship between cognitive impairment and risk factors.

Results:

Summary statistics were obtained for sociodemographic and chronic diseases by using cross-tabulation analysis and comparing the county respondents with proportion tests. A univariate binary logistic regression method was utilized and found that age group 60–69, anxiety, depression, diabetes, hypertension, and cardiovascular disease were significantly associated with cognitive impairment. Using a multivariable logistic regression approach, it was found that Bailey County (age group 60–69) had a higher likelihood ( p = 0.002) of cognitive impairment than Parmer ( p = 0.067) and Cochran counties ( p = 0.064). The risk of females ( p = 0.033) in Parmer County was 78.3% lower compared to males in developing AD.

Conclusions:

Identifying significant risk factors for cognitive impairment are important in addressing issues of geographic variations and integrating such factors may guide relevant policy interventions to reduce cognitive impairment incidence in rural communities within West Texas.
Assessing Independence in Activities of Daily Living and Quality of Life in Patients with Dementia with Lewy Bodies
Authors: Oliveira Fabricio Ferreira de
Published: August 2024

Knowledge of performance in activities of daily living and quality of life is important for management decisions and research endpoints. The use of harmonized scales is essential for objective assessment of both caregivers and patients with dementia with Lewy bodies. Functionality and quality of life are more impaired in dementia with Lewy bodies than in Alzheimer’s disease, mostly due to higher prevalence of behavioral symptoms and motor manifestations in dementia with Lewy bodies. More longitudinal studies are required to assess if causality mediates the associations of clinical features with functional independence and worsened quality of life in these patients.
Design and analysis of high power density permanent magnet-assisted synchronous reluctance motor
Authors: Guo Liyan , Sun Zihan , Yang Wenqian , Wang Huimin , Li Xinmin
Published: August 2024

Permanent magnet-assisted synchronous reluctance motor (PMSRM) has been widely used in many fields due to their advantages of less permanent magnets and low cost. However, the permanent magnet torque and reluctance torque of the traditional PMSRM reach their maximum values at different current angles. Therefore, the utilization ratio of the total torque to each torque component is low, which leads to the low power density of the PMSRM. To solve this problem, a new rotor structure suitable for PMSRM is proposed in this paper. The rotor can improve the total torque by increasing the maximum value of permanent magnet torque and the utilization rate of total torque to each torque component. Thus, the power density of the motor is effectively improved. In order to realize the matching design of each parameter in the proposed rotor structure, the Taguchi method is used to optimize the design, and the influence of each optimization variable on torque and torque ripple is analyzed. The finite element simulation analysis method is used to establish the electromagnetic simulation model of the traditional structure, the new structure proposed and the optimized structure of the new structure by Maxwell simulation software. The simulation results show that the proposed new rotor structure not only effectively improves the torque density, but also effectively reduces the torque ripple.
Video-Based Directly Observed Therapy (ViDOT) as a strategic tool to improve medication adherence in epilepsy: A narrative review
Authors: Olowoyo Paul , Oguntiloye Olabode , Ogunjimi Luqman , Adeniji Olaleye , Atolani Segun , Ariyo Olumuyiwa , Owolabi Mayowa
Published: August 2024

BACKGROUND: The prevalence of epilepsy is highest in the Central Africa subregion most especially in rural settlements. This is further compounded by a high prevalence of treatment gap, from poor drug adherence, and poor road network. One approach to overcoming this burden is to leverage Video-based Directly Observed Therapy (ViDOT) use for stable patients living with epilepsy, harnessing the advancement in mHealth technologies, and widespread adoption of smartphones. ViDOT is a form of telemedicine that is a smartphone-based, treatment approach for monitoring and evaluating remote patients. OBJECTIVE: We performed a narrative review of the existing literature using electronic databases from PubMed and Google Scholar to identify relevant publications related to ViDOT and chronic diseases, in particular epilepsy. METHODS: The selected articles were assessed for relevance, and key findings were synthesized to provide an overview of the role of ViDOT in addressing the challenges of drug adherence in epilepsy. RESULTS: The review shows that poor drug adherence is a major risk for poor outcomes in patients living with epilepsy. ViDOT has the potential to significantly contribute to improved drug adherence in patients living with epilepsy. Other benefits of ViDOT include the elimination of prolonged waiting times, improvement in access to specialized care, eradication of self-induced stigma and discrimination, diminishing neurologists’ workload, and cost-effectiveness. Challenges include poor network coverage and unstable internet service. CONCLUSION: Giving a brief psychoeducation about epilepsy, anti-epileptic drug (AED) side effects, and the importance of sticking with the recommended drug use can improve AED adherence and epilepsy outcomes. Information dissemination through ViDOT to people with epilepsy and their caregivers at large is important to promote a healthy life.
Patients’ perceptions and experience of hospital-based, student-led physiotherapy treatment interventions: A survey
Authors: Cole Aaron , Lombard Eileen , Brennan Roisin , O’ Sullivan Trish , O’ Shea Aidan , McVeigh Joseph G.
Published: August 2024

BACKGROUND: Clinical education (CE) is an integral part of physiotherapy degree programmes. CE presents a unique learning opportunity for students to implement classroom-based teaching directly with patients and clients. Despite patients being central to CE, limited research exists around patients’ opinions of CE and the impact of student involvement in patient care. To our knowledge, there has been no study exploring patient perceptions of being treated by student physiotherapists in Ireland. OBJECTIVE: The aim of this study was to explore the perceptions and experiences of patients who have been assessed and treated by pre-registration MSc Physiotherapy students. METHODS: This was a cross-sectional survey study, involving both quantitative and qualitative content analysis. RESULTS: A total of 42 inpatient participants male n = 24 (57%) female n = 18 (43%) with 30 participants (71%) aged ≥70 were included in this study. All participants reported satisfaction with the treatment received by a student physiotherapist and reported they would avail of further treatments in the future. The benefits identified from interaction of participants with physiotherapy students included patient education and interpersonal skills. No disadvantages of being assessed and treated by a student physiotherapist were identified. Considerations for improvements identified included timing of physiotherapy sessions, frequency of sessions and the consideration of use of technology with patients. CONCLUSIONS: This study identified that all participants were very satisfied from receiving treatment interventions led by a student physiotherapist. Increased patient education and interpersonal skills were highlighted as key advantages from participants being assessed and treated by a student physiotherapist in clinical practice.
Social and Web Data Framework for Understanding Loneliness
Authors: Shah Hurmat Ali , Househ Mowafa
Published: August 2024

Loneliness can be studied through social media and web data to gain insights into the dynamic phenomenon. In this paper, we present our proposed framework through a case study on how to deploy various social media and online data sources to study loneliness comprehensively. The framework is important to understand loneliness from data perspective available online and to complement the theoretical and psychosocial understanding of loneliness. The data on loneliness is gathered through surveys and self-reporting mechanisms. This requires complementing the dynamic and vast data available on the web and through social media. Our results found that tools like Google Trend and News Analysis can give the starting point to explore loneliness in a particular region. Tools like X (formerly Twitter), Reddit, and other social media can give behavioral data on loneliness which can be analyzed through sentiment analysis and other social intelligence analysis. The framework’s utility lies in its potential to inform policies, interventions, and initiatives addressing loneliness through data. However, it is crucial to acknowledge limitations, such as data availability, biases in user-generated content, and ethical considerations.
Real-Time Visualization and Analysis Architecture for Data Integration Processes at Cologne University Hospital’s Medical Data Integration Center
Authors: Kamal Md. Mostafa , Kutafina Ekaterina , Beyan Oya
Published: August 2024

This paper presents an implementation of an architecture based on open-source solutions using ELK Stack – Elasticsearch, Logstash, and Kibana – for real-time data analysis and visualizations in the Medical Data Integration Center, University Hospital Cologne, Germany. The architecture addresses challenges in handling diverse data sources, ensuring standardized access, and facilitating seamless analysis in real-time, ultimately enhancing the precision, speed, and quality of monitoring processes within the medical informatics domain.
Optimizing the Transition from Written Prescriptions into E-Prescriptions in Germany
Authors: Esskaros Marian , Maatouk Hamza
Published: August 2024

The study will use a mixed-method approach, the qualitative research method will be used through conducting interviews to explore the opinions of the stakeholders while the quantitative method will be used through conducting surveys. Results collected from both approaches were analyzed and recommendations for various stakeholders such as the German Ministry of Health with the cooperation of the German government, Software developers, Gematik, Insurance companies, Physicians and pharmacists, and Patients for optimizing the transition phase were derived.
Virtual Coaching for Home Rehabilitation – Evidence of an Empirical Study
Authors: Schlieter Hannes , Gand Kai , Weimann Thure Georg , Caprino Massimo , Corbo Massimo , Seregni Agnese , Tropea Peppino , Del Pino Rocio , Gómez Esteban Juan Carlos , Gabilondo Iñigo , Lacraru Andreea , Busnatu Stefan
Published: August 2024

Older individuals often face disabilities or diseases that lower their quality of life (QoL). While inpatient rehabilitation can initially enhance QoL, there is often a lack of continuation at home. Virtual coaches (VCs) as specific embodied conversational agents promise appropriate support for home rehabilitation. They emerge as complementary digital aids to ensure care continuity. This paper presents the results of implementing a full-featured VC for older patients’ home rehabilitation in a multi-stage study, summarizing the main results regarding QoL outcomes and user experience tests. The study confirms the intervention as an engaging means for rehabilitation (mostly above user experience thresholds) and improvements of QoL (>10% between experimental and control groups).
Proposal for a Patient Centered Health Information Framework for Clinical and Personal Data Movement
Authors: Veltri Pierangelo , Meijer Wouter , Rajput Vije Kumar
Published: August 2024

This paper focuses on defining a framework to allow individual patients to track their own health related data. We propose a Patient Centered Information Framework (PCIF) allowing patient to manage their own data by using discharge letters. Discharge letters summarize information from a hospital stay, such as medical history, diagnoses, treatments and follow up, needed for continuity of care. It enables patients to share data with different organizations ensuring personal data protection, even when moving from different places and countries. A record of clinical management may thus be guaranteed when moving among different health structures as well as simplifying obtaining medications. We propose an approach to allow citizens to manage their health related data in a cross borders fashion. We compare the regulation of discharge letters among a sample of countries. We propose a management protocol for using a commonly adopted patient discharge letter framework within a PCIF.
Unsupervised Extraction of Body-Text from Clinical PDF Documents
Authors: Bensahla Adel , Zaghir Jamil , Gaudet-Blavignac Christophe , Lovis Christian
Published: August 2024

Automatic extraction of body-text within clinical PDF documents is necessary to enhance downstream NLP tasks but remains a challenge. This study presents an unsupervised algorithm designed to extract body-text leveraging large volume of data. Using DBSCAN clustering over aggregate pages, our method extracts and organize text blocks using their content and coordinates. Evaluation results demonstrate precision scores ranging from 0.82 to 0.98, recall scores from 0.62 to 0.94, and F1-scores from 0.71 to 0.96 across various medical specialty sources. Future work includes dynamic parameter adjustments for improved accuracy and using larger datasets.
Development and Testing of the WiseApp for Improving Medication Adherence Among Spanish Speakers
Authors: Schnall Rebecca , Halpern Mina , Olaya Felix , Ramirez Sergio Ozoria , Caraballo Pamela Baez
Published: August 2024

There is evidence to support the use of mHealth tools for improving medication adherence. Building on this evidence, our study team culturally adapted and translated the WiseApp for improving antiretroviral medication adherence in Spanish-speaking persons with HIV. We are currently conducting a multi-site randomized controlled trial (RCT) to test the effectiveness and sustainability of the WiseApp for Spanish speakers in New York City and the Dominican Republic.
Exploring Greek Population Attitudes Towards Using Health-Related Websites for Managing Their Health
Authors: Kokkinaki Niki , Koufi Vassiliki , Zoulias Emmanouil , Malamateniou Flora
Published: August 2024

The last few years the Internet has evolved into a prominent information source for many people worldwide. Latest research has shown that an ever increasing number of citizens and patients go online in order to access health information and seek support in managing their health, including understanding their condition, adopting life-saving lifestyle adjustments and keeping up with treatment or aftercare guidelines. Due to this rise on the demand of online health information, health-related sites have increased substantially, with each one of them striving to maintain the most comprehensive and reliable source of health and medical information on the Internet. This paper presents a survey conducted among Greek population aiming at exploring participants general attitudes towards using the Internet to access health information as well as their views regarding a specific Greek health-related website, namely Iatronet. To this end, an online Greek version of eHealth Impact Questionnaire has been used which was developed using RedCAP platform.
Towards Building Decision Support Tools for Older Adults at Home: A Qualitative Analysis
Authors: Lai Claudia , Holyoke Paul , Monkman Helen , Borycki Elizabeth M. , Legare France
Published: August 2024

Older adults (and caregivers) face important health-related decisions which can have important consequences on their well-being, independence, and outcomes (e.g., where to live, how to stay safe, where to get care). There is a critical need for tools to help them make informed decisions that reflects what is most important to them. We report on a qualitative analysis of survey data collected from home care providers to inform the design and development of digital decision support tools for older adults.
Translating Between Standardization and Local Fit in Health Information Technology
Authors: Jonasson Charlotte , Villumsen Sidsel , Nielsen Jeppe Agger
Published: August 2024

The design of health information technology (HIT) requires balancing standardization and local adjustment. Preliminary study findings show that interactions between stakeholder shared attention and HIT translational ‘boundary object’ features ensure that HIT serves diverse stakeholders’ purposes and needs. This can support subsequent implementation and patient safety.
Developing a Change Readiness Survey for Health Technology Implementation
Authors: Agha-Mir-Salim Louis , Sarica Merve Mükerrem , Flint Anne Rike , Balzer Felix , Mosch Lina Katharina , Poncette Akira-Sebastian
Published: August 2024

Addressing the challenges of health technology implementation, this study aims to develop a survey that assesses staff readiness for change in clinical settings. The survey items were refined from 67 to 38 through a narrative literature review, expert focus groups, and cognitive interviews. The survey suggests an approach that prioritizes the user’s needs in identifying barriers and facilitators to the adoption of health technology in order to ensure successful implementation by proactively addressing potential obstacles.
Pre-Pilot Usability Study of the Take-A-Breath Project: A Personalized Platform for Respiratory Disease Management
Authors: Bonotis Panos , Siopis Nikolaos , Lalas Antonios , Votis Konstantinos , Tzovaras Dimitrios , Natsiavas Pantelis
Published: August 2024

This study aims to evaluate the patient’s platform of the Take-A-Breath project—a Greek project for personalized respiratory disease support. The pre-pilot usability study, involving 11 participants, employed a mixed-methods approach. While calculated scores indicate overall acceptance, concerns are identified, particularly regarding the learning curve needed for the guided inhalation feature, the application’s core functionality. Users appreciate the feature’s utility and design after repeated use. Findings recommend user manuals and healthcare professional training, providing essential insights for the upcoming RCT.
Analysis of Heart Rate Variability Characteristics of End-of-Life Patients Using Wearable Heart Rate Sensors
Authors: Lee Ying-Li , Hsieh Wan-Ting , Liu Hsin-Che
Published: August 2024

Predicting lifespan much more accurately is important for the palliative care team and the families they accompany. However, the way physicians estimate survival time has a gap between the real conditions. This is the first study to use a senseless wearable sensor to collect electrocardiograms from hospice care patients and explore the final moments of patients’ lives by analyzing heart rate variability.
Enhancing Healthcare Management: Assessing User Acceptance and Usability of the ‘SmartCG’ Mobile Application
Authors: Turnbull Niruwan , Wechkunanukul Kannikar Hannah , Sriruecha Chanaphol , Toontom Nitchara , Tudpor Kukiat
Published: August 2024

In Thailand, increasing caregiving needs for senior citizens, particularly in low-income homes, may elevate the caregiver (CG) burden. This study assesses the user acceptance and usability of the ‘SmartCG’ mobile application in enhancing healthcare management. The app offers health evaluations, home visits, knowledge management, screening forms, and care plans. Using the Technology Acceptance Model, 402 caregivers from Mahasarakham province evaluated the app’s usability on a 5-point Likert scale. Results showed a significant increase in acceptance scores after using SmartCG (11.49 ± 1.54 to 13.19 ± 2.74, p < 0.001). Users reported high satisfaction with its ease of use (mean = 4.10 ± 0.61) and found the knowledge-based menu (mean = 4.07 ± 0.63) and visiting/map menus (mean = 4.05 ± 0.63) user-friendly. This study provides empirical evidence that the SmartCG app effectively enhances healthcare management, emphasizing the importance of user-friendly interfaces in healthcare technology.
Evaluating the Effectiveness of a Novel Personalized Health Education Approach for Hemodialysis Patients: A Four-Week Study Using a Widely-Used Communication App in Taiwan
Authors: Lin Yu-Ting , Zheng Cai-mei , Hung Kuo-Chin , Yang Hsuan-Chia , Zheng Mei-Ling , Huang Chih-Wei
Published: August 2024

Dialysis patients often have inadequate health literacy, affecting self-care and outcomes. This study used LINE app to provide personalized health education to Taiwanese dialysis patients and collected physiological data via wearables. While physical activity levels remained unchanged, participants’ disease literacy significantly improved post-intervention. Patients’ health literacy will evaluate by Health Literacy Questionnaire for Taiwanese Hemodialysis patients (HLQHD). The findings highlight technology-driven interventions’ potential to enhance health literacy and disease management among dialysis patients.
Radar-Based Elderly Fall Detection Using Smoothed Pseudo Wigner Ville Distribution and XGBoost Learning
Authors: Pj Swarubini , Ganapathy Nagarajan
Published: August 2024

Falls among the elderly population pose significant health risks, often leading to morbidity and decreased quality of life. Traditional fall detection methods, namely wearable devices and cameras, have limitations such as lighting conditions and privacy concerns. Radar-based fall detection has emerged as a promising alternative, offering unobtrusive technique. In this study, an attempt has been made to classify fall detection using smoothed pseudo wigner-ville distribution (SPWVD) images and XGBoost learning. For this, online publicly available radar database (N=15) is considered. Radar signals is employed to SPWVD for time-frequency representation images. Ten features are extracted and applied to XGBoost learning. Experiments are performed and performance is evaluated using 10-fold cross validation. The proposed approach is able to discriminate elderly fall. Using XGBoost learning, the approach yields a maximum average classification accuracy, f1-score, precision, sensitivity, specificity, and kappa scores of 87.47%, 87.38%, 88.12%, 86.81%, 88.31% and 74.94% respectively. The combination of conventional features with concentration measures and median frequency obtained the second best performance. Thus, the proposed framework could be utilized for accurate and efficient detection of falls among the elderly population in their private spaces.
Design and Integration of an Intelligent Agent to a Telemedicine Platform, for the Translation of Exchanges Between Doctor and Patient During Teleconsultation: Methodology of Design and Technological Choices
Authors: Kambire Jonathan , Barro Seydou Golo , Staccini Pascal
Published: August 2024

After having designed and implemented a telemedicine solution equipped with a video presence tool for teleconsultation and tele-expertise and in order to obtain a faithful communication between healthcare professional and patient despite language differences, our study was to perform a literary review on the various existing works and to perform analysis on the different types of neural network for designing an voice intelligent agent for translation during exchanges between doctor and patient during teleconsultation and make tool choices for its development.
Automatic Tumor Cellularity Measurement: AI-Based Pipeline for Multi-Organ Pathology Imaging
Authors: Ha Suk Min , Ko Young Sin , Park Youngjin
Published: August 2024

Tumor Cellularity (TC) is an important metric for assessing organ tumor burden. However, manual cell counting is not feasible due to large volumes of pathology images and inconsistent measurements between pathologists. The PAIP 2023 Challenge aimed to solve this problem using AI. The challenge presented two main obstacles: the need to evaluate pancreas-trained data for effective use in the colon, and the common miscounting of clustered cells in segmentation results. To address these, we proposed a novel pipeline. It included channel normalization, which standardizes RGB values to ensure consistent model performance across different organs. By introducing CacoX, a specialized model for accurate cell segmentation, we used Coordinate Attention Gates for accurate cell localization and non-local learning. Finally, the implementation of a watershed algorithm allowed the automatic separation of clustered cells. This approach secured 3rd place in the PAIP 2023 Challenge with an impressive ICC score of 95.69%.
GPT-Based Model for Concise Summaries of Patient Health Information
Authors: Zhi Chen , Nakayama Masaharu
Published: August 2024

Although Patient Health Records (PHRs) are vital tools for patients, enabling them to access and manage health information, it remains challenging for doctors and patients to gather a swift overview of a patient’s health status based on the extensive information included in the PHR. Our study introduces a generative pre-trained transformer-based language model to summarize health information documented in previously developed PHRs efficiently. By fine-tuning the model, we achieved results comparable to those of other studies in this domain, despite utilizing a smaller dataset. This data-to-text application represents a novel method that can be expected to promote enhanced information management in the medical field.
Term Candidate Generation to Enrich Clinical Terminologies with Large Language Models
Authors: Kugic Amila , Schulz Stefan , Kreuzthaler Markus
Published: August 2024

Annotated language resources derived from clinical routine documentation form an intriguing asset for secondary use case scenarios. In this investigation, we report on how such a resource can be leveraged to identify additional term candidates for a chosen set of ICD-10 codes. We conducted a log-likelihood analysis, considering the co-occurrence of approximately 1.9 million de-identified ICD-10 codes alongside corresponding brief textual entries from problem lists in German. This analysis aimed to identify potential candidates with statistical significance set at p < 0.01, which were used as seed terms to harvest additional candidates by interfacing to a large language model in a second step. The proposed approach can identify additional term candidates at suitable performance values: hypernyms MAP@5=0.801, synonyms MAP@5 = 0.723 and hyponyms MAP@5 = 0.507. The re-use of existing annotated clinical datasets, in combination with large language models, presents an interesting strategy to bridge the lexical gap in standardized clinical terminologies and real-world jargon.
Machine Learning-Based Predictive Models for Early Detection of Cardiovascular Diseases: A Study Utilizing Patient Samples from a Tertiary Health Promotion Center in Korea
Authors: Lee Kanghyuck , Oh Seol Whan , Kim Sung-Hwan , Ko Taehoon , Choi In Young
Published: August 2024

A machine learning model was developed for cardiovascular diseases prediction based on 21,118 patient checkups data from a tertiary medical institution in Seoul, Korea, collected between 2009 and 2021. XGBoost algorithm showed the highest predictive performance, with an average AUROC of 0.877. In survival analysis, XGBSE achieved an AUROC exceeding 0.9 for 2-9 year predictions, with a C-index of 0.878 across all diseases, outperforming Cox regression (C-index of 0.887). A high-performance prediction model for cardiovascular diseases using the XGBSE algorithm was successfully developed and is poised for real-world clinical application following external simplification and validation.