bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers to the Incorporation of Digital Health Competencies in the Medical School Curriculum: A Qualitative Study of Doctors in Organizational Leadership
Authors: Zainal Humairah , Xin Xiao Hui , Thumboo Julian , Fong Kok Yong 
Published: June 2023

Abstract
Purpose
Digital technologies have influenced healthcare delivery worldwide and are increasingly being used in clinical practice. However, studies have shown a lag in the implementation of guidelines for the training of digital health competencies (DHC) in medical schools. Furthermore, few existing frameworks on DHC have examined barriers commonly faced by developed countries to equip medical students with DHC. Using Singapore as a case study, and by exploring the perspectives of doctors in organizational leadership positions, this paper identifies reasons for this lag and a common framework that can help overcome these barriers.
Methods
Findings were drawn from individual semi-structured interviews with 33 doctors in executive and organizational leadership roles. Participants were recruited using purposive sampling. Data were interpreted using qualitative thematic analysis.
Results
Participants were currently (n = 26) or formerly (n = 7) in organizational leadership. They highlighted six reasons for the lag in DHC integration in the curricula: bureaucratic inertia, expectations to pursue traditional career pathways, lack of protective mechanisms for experiential learning and experimentation, lack of clear policy guidelines for clinical practice, need for more evidences on the effectiveness of digital technologies, and need for a strong and integrated IT infrastructure in healthcare institutions.
Conclusions
Applying Damschroder et al.’s (2009) Consolidated Framework for Implementation Research (CFIR) would illuminate the importance of considering both structural and institutional barriers to training students with relevant DHC. Showing how relevant CFIR constructs might be applied to integrating DHC in the medical school curriculum would help ensure consistency of implementation across time and contexts.
Map-and-Acquisition Networks
Authors: Yao Liangliang , Zhang Taihong , Zhang Boxu , Zhao Yunjie 
Published: June 2023

Abstract
In recent years, the attention mechanism has made great contributions to therepresentation ability of deep convolutional neural networks, especially the atten-tion module in convolutional neural networks. Based on simple mathematicalprinciples, this paper proposes an operation unit called Map-and-Acquisition(MA) to compute the attention of different feature vectors in convolutional neu-ral networks. Inspired by the convolution operation, MA extends the convolutionoperator to integrate the characteristics of the space or channel features in thelocal receptive field to the global space or channel, and only operates on onedimension of the image feature, avoiding a series of problems caused by thecoupling of space and channel dimensions. The feature response of the chan-nel or space domain is adaptively adjusted through the weighting and summingoperator to better extract the high-level features of the image. MA is concep-tually simple and effective. Attention mechanisms can be easily computed inboth channel and spatial domains, and this module can be flexibly inserted intothe backbone of a general-purpose deep convolutional neural network, and thenumber of additional parameters is very small. Our method is verified by imageclassification, object detection, and instance segmentation on the ImageNet-1K and COCO 2017 datasets, and is also evaluated on the small-sample imageclassification task on the dataset mini-Imagenet. Experimental results showthat our method can significantly improve the performance of vision tasks.
Short Video Clustering Model based on Deep Multimodal Fusion
Authors: Kingsley Calderon , Prescott Ambrose , Sinclair Jessamine 
Published: June 2023

Abstract
With the continuous development of deep learning, video classification methods based on deep learning models have also made remarkable progress, and numerous models including dual-stream convolutional neural networks and 3D convolutional neural networks have been proposed and gradually become the current mainstream methods. In addressing video characterization especially web video and the application research based on it multimodal strategies have been widely used by researchers adopted. Nikhill et al. used a typical correlation analysis approach to study text-image correlation in cross-modal document retrieval for text and multimedia documents Image parts are jointly modeled and text and graphics are abstracted from the level of semantics. Experimentally, it is demonstrated that both have improved the accuracy of detection The accuracy of search matching is improved. Short video contains rich multimodal information, and the fusion of information from multiple modalities in the video classification task can improve the video accuracy of the video classification task. In this paper, a new combinatorial network model is proposed. The model combines the discrete features of each modality through a network The discrete features of each modality are combined into the overall features of each modality through a network. Then the overall features of the video are obtained by fusing the features of various modalities, and they are used for classification. In order to verify the effectiveness of the algorithm proposed in this paper, single-modal experiments and multimodal fusion experiments are conducted in the relevant dataset. The proposed network fusion technique can be better used for video classification tasks.
Aplikasi Perangkat Bergerak Document Distributions System (DDS)
Authors: Proboyekti Umi , Halim Magdalena Evelyn , Wibowo Argo 
Published: June 2023

Surat jalan tercetak yang digunakan untuk pengiriman dokumen dan barang menyebabkan pemantauan pengiriman yang dilakukan menjadi terhambat. Verifikasi paket yang sudah diterima juga harus menunggu messenger kembali ke kantor dan menyerahkan bukti terima yang dibawa. UCD (User Centered Design) dan Usability Testing mendukung pengembangan aplikasi Document Distribution System yang sesuai dengan kebutuhan pengguna. Teknik wawancara untuk memahami kebutuhan pengguna dan konteks penggunaan aplikasi dan pembangunan aplikasi dengan Framework Flutter. Pengujian formative dan summative mengukur aspek effectiveness, efficiency, dan satisfaction dari pengguna aplikasi. Pembangunan aplikasi menghasilkan aplikasi DDS yang memungkinkan pemantauan pengiriman dilakukan saat dibutuhkan melalui surat jalan elektronik dan perubahan status pengiriman yang dilakukan messenger. Hasil pengujian yang didapatkan menunjukkan bahwa aplikasi DDS dapat digunakan dengan hasil effectiveness 100%, efficiency 100%, dan satisfaction dengan rating 4.6/5.0 untuk admin operasional pengiriman. Sementara, untuk tipe messenger, hasil effectiveness 100%, efficiency 100%, dan satisfaction dengan rating 4.6/5.0
Neuroprotective and Antioxidant Activities of Algerian Punica granatum
L. Peel Extracts
Authors: Chaabna Naila , Naili Oumaima , Ziane Nafissa , Bensouici Chawki , Dahamna Saliha , Harzallah Daoud 
Published: June 2023

Background:
Oxidative stress is implicated in many neurodegenerative disorders, such as
Alzheimer’s disease. As an alternative, Punica granatum peels are widely used in the treatment of several
ailments. To date, this is the first study on the anti-acetyl/butyrylcholinesterase effects of diethyl
ether extract from Algerian pomegranate peels.

Objective:
This research aimed to evaluate the content of total phenolics, flavonoids, flavonols, and tannins
in Punica granatum peel crude extract and its fraction diethyl ether, as well as to assess its antioxidant
and neuroprotective activities.

Methods:
The total phenolic, flavonoid, flavonol, and tannin contents in the extracts were evaluated using
spectrophotometric methods. The inhibitory effects on acetyl/butyrylcholinesterase were assessed
using the in vitro models. In addition, several methods were used to investigate the antioxidant capacity
of extracts, including 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2'-azino-bis(3-ethylbenzothiazoline-
6-sulfonate) (ABTS) free radicals scavenging, phenanthroline, reducing power and cupric ion reducing
antioxidant capacity (CUPRAC) assays.

Results:
Phytochemical analysis revealed that the diethyl ether extract recorded the highest content of
total phenolics, flavonoids, flavonols, and tannins with values of 643.3 ± 9.96 μgGAE/mg, 78.97 ± 9.97
μgQE/mg, 31.32 ± 1.79 μgQE/mg and 96.6 ± 13.65 μgTAE/mg, respectively. Moreover, the diethyl
ether extract exhibited the strongest activity in the DPPH scavenging assay (IC50=3.36 ± 0.11 μg/mL),
ABTS scavenging assay (IC50=1.46 ± 0.10 μg/mL), CUPRAC assay (CA0.5=3.62 ± 0.36 μg/mL), phenanthroline
assay (CA0.5=1.04 ± 0.10 μg/mL), reducing power assay (CA0.5=4.14 ± 0.32 μg/mL), antiacetylcholinesterase
assay (IC50=114.86 ± 13.66μg/mL), and anti-butyrylcholinesterase assay
(IC50=147.00 ± 10.41 μg/mL).

Conclusion:
The present study has shown the extracts from Punica granatum peel to be a rich source of
bioactive compounds, potent antioxidants, and cholinesterase inhibitors. They could be considered as
natural agents that can be used in anti-neurodegenerative pharmaceutical formulations.
Development of Interactive Learning Media in Occupational Health and Safety Subjectin Vocational High School
Authors: Wahrini Retyana , Peng Chua Gim 
Published: June 2023

Background: This research and development study aims to develop media in the form of learning videos on Occupational Safety and Health (K3) and to determine the feasibility of K3 learning videos in the Building Department of SMKN 5 Makassar.Methods: The development model used in this study is 4D (Four-D), namely the stages of defining, designing, developing, and disseminating. In this case, the learning video feasibility assessment data collection was carried out using a questionnaire as the research instrument. This study further involved 2 material experts and 2 media experts to assess the feasibility of the video. Students were also involved in getting responses to the Occupational Safety and Health (K3) learning video. Results: This study obtained interactive learning media through research and development methods with 4-D (Four-D) model development. Another result obtained is interactive learning media in the form of learning videos on occupational safety and health subjects in the Buildings Department of SMK N 5 Makassar. Furthermore, the results of the feasibility level of learning videos according to the material experts obtained a value of 89.13% which is categorized as very feasible. Meanwhile, the media experts gave a feasibility level of 89.84%, which is categorized as very feasible. In addition, the student responses as the users of learning video media gave value of 89.89%, which is categorized as very good.Conclusion: Based on this research, it is concluded that interactive learning media in the form of learning videos on Occupational Safety and Health subjects in the Building Department od SMK N 5 Makassar are suitable for use as a learning resource for students in the Building Department of SMK N 5 Makassar.
Contribution of Frailty to Multimorbidity Patterns and Trajectories: Longitudinal Dynamic Cohort Study of Aging People
Authors: Carrasco-Ribelles Lucía A , Cabrera-Bean Margarita , Danés-Castells Marc , Zabaleta-del-Olmo Edurne , Roso-Llorach Albert , Violán Concepción 
Published: June 2023

Background
Multimorbidity and frailty are characteristics of aging that need individualized evaluation, and there is a 2-way causal relationship between them. Thus, considering frailty in analyses of multimorbidity is important for tailoring social and health care to the specific needs of older people.

Objective
This study aimed to assess how the inclusion of frailty contributes to identifying and characterizing multimorbidity patterns in people aged 65 years or older.

Methods
Longitudinal data were drawn from electronic health records through the SIDIAP (Sistema d’Informació pel Desenvolupament de la Investigació a l’Atenció Primària) primary care database for the population aged 65 years or older from 2010 to 2019 in Catalonia, Spain. Frailty and multimorbidity were measured annually using validated tools (eFRAGICAP, a cumulative deficit model; and Swedish National Study of Aging and Care in Kungsholmen [SNAC-K], respectively). Two sets of 11 multimorbidity patterns were obtained using fuzzy c-means. Both considered the chronic conditions of the participants. In addition, one set included age, and the other included frailty. Cox models were used to test their associations with death, nursing home admission, and home care need. Trajectories were defined as the evolution of the patterns over the follow-up period.

Results
The study included 1,456,052 unique participants (mean follow-up of 7.0 years). Most patterns were similar in both sets in terms of the most prevalent conditions. However, the patterns that considered frailty were better for identifying the population whose main conditions imposed limitations on daily life, with a higher prevalence of frail individuals in patterns like chronic ulcers &peripheral vascular. This set also included a dementia-specific pattern and showed a better fit with the risk of nursing home admission and home care need. On the other hand, the risk of death had a better fit with the set of patterns that did not include frailty. The change in patterns when considering frailty also led to a change in trajectories. On average, participants were in 1.8 patterns during their follow-up, while 45.1% (656,778/1,456,052) remained in the same pattern.

Conclusions
Our results suggest that frailty should be considered in addition to chronic diseases when studying multimorbidity patterns in older adults. Multimorbidity patterns and trajectories can help to identify patients with specific needs. The patterns that considered frailty were better for identifying the risk of certain age-related outcomes, such as nursing home admission or home care need, while those considering age were better for identifying the risk of death. Clinical and social intervention guidelines and resource planning can be tailored based on the prevalence of these patterns and trajectories.
Efektivitas Pembelajaran Daring Terhadap Motivasi dan Hasil Belajar Siswa pada Mata Pelajaran Kimia
Authors: Fikran Fikran , Mustapa Kasmudin , Ratman Ratman , Jura Minarni Rama 
Published: June 2023

Penelitian ini bertujuan untuk menganalisis dan mendeskripsikan efektivitas pembelajaran daring pada masa pandemi Covid-19 terhadap motivasi dan hasil belajar siswa SMA Negeri 1 Ampibabo. Metode penelitian yang digunakan adalah penelitian deskriptif- kuantitatif. Subjek penelitian ini terdiri dari 2 guru dan 171 siswa. Instrument pengumpulan data yang digunakan adalah data hasil penilaian, teks wawancara dan angket motivasi belajar. Berdasarkan hasil penelitian dan analisis data wawancara menunjukan bahwa pembelajaran daring yang dilakukan pada masa pandemi covid-19 masih kurang efektif dalam meningkatkan hasil belajar siswa bila dibandingkan dengan pembelajaran tatap muka. Hal ini ditunjukkan pada nilai rata-rata hasil belajar sebelum pandemi (226,23) lebih tinggi dari nilai rata-rata hasil belajar dimasa pandemi (116,77) yang menerapkan pembelajaran daring. Selain itu juga didapatkan tingkat motivasi siswa terhadap pembelajaran daring berada pada kategori positif dengan sikap ragu-ragu yaitu 67,34%. Siswa perlu dibiasakan untuk banyak mengakses internet terutama pada aplikasi-aplikasi pembelajaran daring agar siswa dapat terlatih menggunakan aplikasi saat pembelajaran sehingga proses pembelajaran daring menjadi efektif untuk dilaksanakan di masa pandemic covid19 ini
Penerapan Model Problem Based Learning (PBL) pada Materi Larutan Elektrolit dan Nonelektrolit untuk Meningkatkan Minat Belajar
Authors: Rahmadhani Wiwin , Suherman Suherman 
Published: June 2023

Penelitian ini bertujuan untuk meningkatkan minat belajar siswa kelas X MIPA SMAN 1 Moutong melalui penerapan model pembelajaran Problem Based Learning (PBL) pada materi larutan elektrolit dan nonelektrolit. Metode dalam penelitian ini merupakan penelitian deskriptif kuantitatif. Subjek pada penelitian ini adalah seluruh siswa kelas X MIPA 1 SMAN 1 Moutong berjumlah 36 orang yang terdaftar pada tahun ajaran 2021/2022. Hasil penelitian menunjukkan bahwa sebelum melakukan pembelajaran menggunakan model Problem Based Learning pada materi larutan elektrolit dan nonelektrolit diperoleh persentase minat belajar siswa sebesar 27,78% atau masuk dalam kategori rendah. Hasil observasi guru diperoleh persentase pertemuan 1 sebesar 84,61% dan persentase pertemuan 2 sebesar 86,53%. Hasil observasi siswa diperoleh rata-rata pertemuan 1 sebesar 83,12% dan rata-rata pertemuan 2 sebesar 86,45%. Kemudian setelah melakukan pembelajaran dengan menerapkan model pembelajaran Problem Based Learning pada materi larutan elektrolit dan nonelektrolit minat belajar siswa mengalami peningkatan, dengan persentase minat belajar siswa sebesar 77,78% atau masuk dalam kategori tinggi. Kesimpulan dari penelitian ini yaitu penerapan model pembelajaran Problem Based Learning pada materi larutan elektrolit dan nonelektrolit dapat meningkatkan minat belajar siswa kelas X MIPA SMAN 1 Moutong.

Kata kunci : Minat Belajar, Larutan Elektrolit dan NonElektrolit, Problem Based Learning (PBL)
Magnesium, Potassium, Calcium and Phosphorus in Durian Seed Flour Food Products
Authors: Said Irwan , Hamzah Baharuddin , Sakung Jamaluddin , Ningsih Purnama , Wahyuni Poppy Fitra , Rezki Rezki 
Published: June 2023

Durian seed flour can be used for the manufacture of food products such as sticks and steamed sponges. Sticks and steamed sponge cake are foods that many people like from children to adults. Durian seed flour is rich in minerals including magnesium, potassium, calcium and phosphorus. This study aims to determine the content of magnesium, potassium, calcium and phosphorus in food products from durian seed flour using Atomic Absorption Spectrophotometer (SSA) and UV-Vis Spectrophotometry. The results showed that the magnesium content in the sticks of durian seed flour with formulation 1 (0% durian seed flour) amounted to 84,053 mg/kg, formulation 2 (50% durian seed flour) amounted to 145,213 mg/kg and formulation 3 (100% durian seed flour) amounted to 142,313 mg/kg. Potassium content on sticks from durian seed flour with formulation 1 (0% durian seed flour) of 1,186 mg/kg, formulation 2 (50% durian seed flour) of 1,863 mg / kg and formulation 3 (100% durian seed flour) of 1,693 mg/kg. The calcium content in steamed sponge from durian seed flour with formulation 1 (0% durian seed flour) of 30.37 mg/kg, formulation 2 (50% durian seed flour) of 37.84 mg/kg and formulation 3 (100% durian seed flour) of 35.84 mg /kg. While the phosphorus content n steamed sponge from durian seed flour with formulation 1 (0% durian seed flour) of 17.1 mg/kg, formulation 2 (50% durian seed flour) of 27.1 mg/kg and formulation 3 (100% durian seed flour) of 24.3 mg/kg.
<strong>The relationship between diabetes, obesity and cardiovascular disease phenotypes: a UK Biobank cohort study</strong>
Authors: I Brown Oliver , Drozd Michael , McGowan Hugo , Giannoudi Marilena , Conning-Rowland Marcella , Gierula John , Straw Sam , B Wheatcroft Stephen , Bridge Katherine , D Roberts Lee , Levelt Eylem , Ajjan Ramzi , J Griffin Kathryn , A Bailey Marc , T Kearney Mark , M Cubbon Richard 
Published: June 2023

<p> </p>
<p><em>Objective</em></p>
<p>Obesity and diabetes frequently co-exist, yet their individual contributions to cardiovascular risk remain debated. We explored cardiovascular disease biomarkers, events and mortality in UK Biobank stratified by body mass index (BMI) and diabetes.</p>
<p><em>Research design and Methods</em></p>
<p>451,355 participants were stratified by ethnicity-specific BMI categories (normal, overweight, obese) and diabetes status. We examined cardiovascular biomarkers including: carotid intima-media thickness (CIMT); arterial stiffness; left ventricular ejection fraction (LVEF) and cardiac contractility index (CCI). Poisson regression models estimated adjusted incidence rate ratios (IRR) for myocardial infarction, ischemic stroke and cardiovascular death, with normal weight non-diabetes as comparator. </p>
<p><em>Results</em></p>
<p>5% of participants had diabetes (10% normal weight, 34% overweight and 55% obese; versus 34%, 43% and 23%, respectively, in non-diabetes). In the non-diabetes group, overweight/obesity was associated with higher CIMT, arterial stiffness and CCI, and lower LVEF (p<0.005); these relationships were diminished in the diabetes group. Within BMI classes, diabetes was associated with adverse cardiovascular biomarker phenotype (p<0.005), particularly in the normal weight group. After 5,323,190 person-years follow-up, incident myocardial infarction, ischemic stroke and cardiovascular mortality rose across increasing BMI categories without diabetes (p<0.005); this was comparable in the diabetes groups (p-interaction>0.05). Normal weight diabetes had comparable adjusted cardiovascular mortality to obese non-diabetes (IRR 1.22 [95% confidence interval: 0.96-1.56]; p=0.1).</p>
<p><em>Interpretation</em></p>
<p>Obesity and diabetes are additively associated with adverse cardiovascular biomarkers and mortality risk. Whilst adiposity metrics are more strongly correlated with cardiovascular biomarkers than diabetes-oriented metrics, both correlate weakly, suggesting other factors underpin the high cardiovascular risk of normal-weight diabetes. </p>