bluuebunny/crossref_metadata_2025_split huggingface dataset:
A realistic arteriovenous dialysis graft model for hemodynamic simulations
Authors: Quicken Sjeng , Mees Barend , Zonnebeld Niek , Tordoir Jan , Huberts Wouter , Delhaas Tammo 
Published: July 2022

Objective
The hemodynamic benefit of novel arteriovenous graft (AVG) designs is typically assessed using computational models that assume highly idealized graft configurations and/or simplified boundary conditions representing the peripheral vasculature. The objective of this study is to evaluate whether idealized AVG models are suitable for hemodynamic evaluation of new graft designs, or whether more realistic models are required.

Methods
An idealized and a realistic, clinical imaging based, parametrized AVG geometry were created. Furthermore, two physiological boundary condition models were developed to represent the peripheral vasculature. We assessed how graft geometry (idealized or realistic) and applied boundary condition models of the peripheral vasculature (physiological or distal zero-flow) impacted hemodynamic metrics related to AVG dysfunction.

Results
Anastomotic regions exposed to high WSS (>7, ≤40 Pa), very high WSS (>40 Pa) and highly oscillatory WSS were larger in the simulations using the realistic AVG geometry. The magnitude of velocity perturbations in the venous segment was up to 1.7 times larger in the realistic AVG geometry compared to the idealized one. When applying a (non-physiological zero-flow) boundary condition that neglected blood flow to and from the peripheral vasculature, we observed large regions exposed to highly oscillatory WSS. These regions could not be observed when using either of the newly developed distal boundary condition models.

Conclusion
Hemodynamic metrics related to AVG dysfunction are highly dependent on the geometry and the distal boundary condition model used. Consequently, the hemodynamic benefit of a novel graft design can be misrepresented when using idealized AVG modelling setups.
The effects of active rehabilitation on symptoms associated with tau pathology: An umbrella review. Implications for chronic traumatic encephalopathy symptom management
Authors: Hearn Rachael , Selfe James , Cordero Maria I. , Dobbin Nick 
Published: July 2022

Objective
This review sought to address an evidence gap and lay a foundation for future Chronic Traumatic Encephalopathy (CTE) management studies by evaluating and appraising the literature which reports the effect that active rehabilitation has on other tauopathies, a group of conditions with hyperphosphorylation and aggregation of tau protein that can lead to neurodegeneration.

Design
Umbrella review.

Data source
Meta-analyses and systematic reviews were identified using CINAHL, Medline, Cochrane, Web of Science, PubMed, and SPORTDiscus.

Eligibility
Systematic review or meta-analyses that examine the effect active rehabilitation has on outcome measures of symptoms associated with CTE. Studies with men and women diagnosed with Alzheimer’s disease, Parkinson’s disease, Lewy Body dementia, Frontotemporal degeneration/dementia or Corticobasal degeneration. All types of active rehabilitation were included. Control group was usual care, no intervention, or light-intensity physical activity.

Results
Twelve reviews were included. A large pooled standardized mean difference (SMD) was observed for balance (SMD = 0.88, P<0.001) and motor function (SMD = 0.83, P<0.001). A moderate pooled SMD was observed for cognitive function (SMD = 0.66, P<0.116). A small pooled SMD was observed for mobility (SMD = 0.45, P = 0.002). A trivial pooled SMD was observed for gait speed/velocity (SMD = 0.11, P = 0.372). No findings for mood/behavioral symptoms. All pooled effects demonstrated substantial to considerable heterogeneity (74.3% to 91.9%, P<0.001).

Conclusions
A positive effect of active rehabilitation was observed in patients with tau pathologies suffering from motor, vestibular and cognitive impairments supporting the use of active rehabilitation for CTE management; however, the findings need to be considered with caution given the limited research in some of the tau pathologies, large between-study heterogeneity and wide 95% prediction intervals.
Insights on the differentiation of stillbirths and early neonatal deaths: A study from the Child Health and Mortality Prevention Surveillance (CHAMPS) network
Authors: Quincer Elizabeth , Philipsborn Rebecca , Morof Diane , Salzberg Navit T. , Vitorino Pio , Ajanovic Sara , Onyango Dickens , Ogbuanu Ikechukwu , Assefa Nega , Sow Samba O. , Mutevedzi Portia , El Arifeen Shams , Tippet Barr Beth A. , Scott J. Anthony G. , Mandomando Inacio , Kotloff Karen L. , Jambai Amara , Akelo Victor , Cain Carrie Jo , Chowdhury Atique Iqbal , Gure Tadesse , Igunza Kitiezo Aggrey , Islam Farzana , Keita Adama Mamby , Madrid Lola , Mahtab Sana , Mehta Ashka , Mitei Paul K. , Ntuli Constance , Ojulong Julius , Rahman Afruna , Samura Solomon , Sidibe Diakaridia , Thwala Bukiwe Nana , Varo Rosauro , Madhi Shabir A. , Bassat Quique , Gurley Emily S. , Blau Dianna M. , Whitney Cynthia G. 
Published: July 2022

Introduction
The high burden of stillbirths and neonatal deaths is driving global initiatives to improve birth outcomes. Discerning stillbirths from neonatal deaths can be difficult in some settings, yet this distinction is critical for understanding causes of perinatal deaths and improving resuscitation practices for live born babies.

Methods
We evaluated data from the Child Health and Mortality Prevention Surveillance (CHAMPS) network to compare the accuracy of determining stillbirths versus neonatal deaths from different data sources and to evaluate evidence of resuscitation at delivery in accordance with World Health Organization (WHO) guidelines. CHAMPS works to identify causes of stillbirth and death in children <5 years of age in Bangladesh and 6 countries in sub-Saharan Africa. Using CHAMPS data, we compared the final classification of a case as a stillbirth or neonatal death as certified by the CHAMPS Determining Cause of Death (DeCoDe) panel to both the initial report of the case by the family member or healthcare worker at CHAMPS enrollment and the birth outcome as stillbirth or livebirth documented in the maternal health record.

Results
Of 1967 deaths ultimately classified as stillbirth, only 28 (1.4%) were initially reported as livebirths. Of 845 cases classified as very early neonatal death, 33 (4%) were initially reported as stillbirth. Of 367 cases with post-mortem examination showing delivery weight >1000g and no maceration, the maternal clinical record documented that resuscitation was not performed in 161 cases (44%), performed in 14 (3%), and unknown or data missing for 192 (52%).

Conclusion
This analysis found that CHAMPS cases assigned as stillbirth or neonatal death after DeCoDe expert panel review were generally consistent with the initial report of the case as a stillbirth or neonatal death. Our findings suggest that more frequent use of resuscitation at delivery and improvements in documentation around events at birth could help improve perinatal outcomes.
Factors associated with comorbidity of diarrhoea and acute respiratory infections among children under five years in Ghana
Authors: Afrifa-Anane Grace Frempong , Kyei-Arthur Frank , Agyekum Martin Wiredu , Afrifa-Anane Ernest Kwabena 
Published: July 2022

Introduction
Globally, childhood mortality is an important public health concern. In Ghana, both diarrhoea and acute respiratory infections (ARIs) are among the top five causes of morbidity and mortality among children under five years old (CU5). Yet, there is a paucity of studies on the comorbidity of diarrhoea and ARIs in CU5 in Ghana.

Aim
This study sought to examine factors associated with comorbidity of diarrhoea and ARIs among CU5 in Ghana.

Methods
The Ghana Demographic and Health Survey (GDHS) 2014 was used for this study. A total of 932 CU5 who had at least one morbidity were included in the study. Binary logistic regression was used to predict the factors associated with comorbidity among CU5.

Results
The prevalence of comorbidity of diarrhoea and ARI among CU5 was 11%. Factors including unimproved source of water, unimproved main floor material, age of child, and initiation of breastmilk were significantly associated with comorbidity of diarrhea and ARI. Improved source of water (AOR = 0.42; 95% CI = 0.22–0.78; p = 0.01) reduces the likelihood of having comorbidity than unimproved source of water. Children aged 36–47 months were less likely (AOR = 0.36; 95% CI = 0.14–0.93; p = 0.04) to have comorbidity than those aged 48–59 months. Also, improved floor materials (AOR = 0.45; 95% CI = 0.22–0.95; p = 0.03) reduces the likelihood of having comorbidity than unimproved floor materials. Children breastfed within the first day of birth were more likely (AOR = 1.66; 95% CI = 1.01–0.2.72; p = 0.04) to have comorbidity than those breastfed immediately after birth.

Conclusion
Policymakers and health practitioners should consider risk factors such as age of child, initiation of breastfeeding, unimproved floor material, and unimproved water supply in the design of interventions to reduce morbidity and mortality associated with comorbidity of diarrhoea and ARI among CU5.
Artificial intelligence in medical education curriculum: An e-Delphi study for competencies
Authors: Çalışkan S. Ayhan , Demir Kadir , Karaca Ozan 
Published: July 2022

BackgroundArtificial intelligence (AI) has affected our day-to-day in a great extent. Healthcare industry is one of the mainstream fields among those and produced a noticeable change in treatment and education. Medical students must comprehend well why AI technologies mediate and frame their decisions on medical issues. Formalizing of instruction on AI concepts can facilitate learners to grasp AI outcomes in association with their sensory perceptions and thinking in the dynamic and ambiguous reality of daily medical practice. The purpose of this study is to provide consensus on the competencies required by medical graduates to be ready for artificial intelligence technologies and possible applications in medicine and reporting the results.Materials and methodsA three-round e-Delphi survey was conducted between February 2020 and November 2020. The Delphi panel accorporated experts from different backgrounds; (i) healthcare professionals/ academicians; (ii) computer and data science professionals/ academics; (iii) law and ethics professionals/ academics; and (iv) medical students. Round 1 in the Delphi survey began with exploratory open-ended questions. Responses received in the first round evaluated and refined to a 27-item questionnaire which then sent to the experts to be rated using a 7-point Likert type scale (1: Strongly Disagree—7: Strongly Agree). Similar to the second round, the participants repeated their assessments in the third round by using the second-round analysis. The agreement level and strength of the consensus was decided based on third phase results. Median scores was used to calculate the agreement level and the interquartile range (IQR) was used for determining the strength of the consensus.ResultsAmong 128 invitees, a total of 94 agreed to become members of the expert panel. Of them 75 (79.8%) completed the Round 1 questionnaire, 69/75 (92.0%) completed the Round 2 and 60/69 (87.0%) responded to the Round 3. There was a strong agreement on the 23 items and weak agreement on the 4 items.ConclusionsThis study has provided a consensus list of the competencies required by the medical graduates to be ready for AI implications that would bring new perspectives to medical education curricula. The unique feature of the current research is providing a guiding role in integrating AI into curriculum processes, syllabus content and training of medical students.
The Configuration of Da'wah in Indonesia on Technoreligion: A Communication Theory of Identity (CTI) Approach
Authors: Lestari Pambayun Ellys , Surasman Otong , Rosmalina Soedjono Sri 
Published: July 2022

The construction of da'wah identity on the technoreligion sphere has diametrical forms of discourse. These identities are later configured in several forms, such as theological, cultural, and structural da’wah represented by religious sects and organizations. The configuration of religious identity transmitted in social media becomes a form of self-expression of the preachers (asātiż) in their beliefs, apart from its subjective dimension. The research concludes that the configuration of religious identities of the Indonesian charismatic figures contains meanings that have been transmitted for a long time, not instantaneously, and form their identity which is then projected onto their audiences (mad’ū) in multiperson layers. This article argues that theda’wah identity becomes an existential reflection of a preacher, whether they can be the role models, is depending on the success of each in managing their identities.
Metodología de desarrollo de técnicas de agrupamiento de datos usando aprendizaje automático
Authors: Contreras Contreras Ghiordy Ferney , Medina Delgado Byron , Acevedo Jaimes Brayan Rene , Guevara Ibarra Dinael 
Published: July 2022

Contexto: Hoy en día, el uso de grandes cantidades de datos adquiridos desde diversos dispositivos y equipos electrónicos, ópticos u otra tecnología de medición, generan un problema de análisis de datos en el momento de extraer la información de interés desde las muestras adquiridas. En ellos, agrupar correctamente los datos es necesario para obtener información relevante y precisa para evidenciar el fenómeno físico que se desea abordar.
Metodología: El trabajo presenta la evolución de una metodología de cinco etapas para el desarrollo de una técnica de agrupamiento de datos, a través de técnicas de aprendizaje automático e inteligencia artificial. Esta se compone de cinco fases denominadas análisis, diseño, desarrollo, evaluación y distribución, con estándares de código abierto y fundamentadas en los lenguajes unificados para la interpretación del software en ingeniería.
Resultados: La validación de la metodología se ha desarrollado mediante la creación de dos métodos de análisis de datos, con un tiempo de ejecución promedio de 20 semanas, obteniendo valores de precisión 40 % y 29 % superiores con los algoritmos clásicos de agrupamiento de datos de k-means y fuzzy c-means. Adicionalmente, se encuentra una metodología de experimentación masiva sobre pruebas unitarias automatizadas, las cuales lograron agrupar, etiquetar y validar 3,6 millones de muestras, acumulado un total de 100 ejecuciones de grupos de 900 muestras, en aproximadamente 2 horas.
Conclusiones: Con los resultados de la investigación se ha determinado que la metodología pretende orientar el desarrollo sistemático de técnicas de agrupamiento de datos, en problemas específicos para bases integradas por muestras con atributos cuantitativos, como los casos de parámetros de canal en un sistema de comunicaciones o la segmentación de imágenes usando los valoras RGB de los pixeles; incluso, cuando se desarrolla software y hardware, la ejecución será más versátil que en casos con aplicaciones teóricas.
PERANCANGAN ANTARMUKA SMART SECURITY SYSTEM TAMBAK UDANG BERBASIS ANDROID
Authors: Adharda Muhammad Akmal , Somantri Maman , Sudjadi Sudjadi 
Published: July 2022

Salah satu permaslahan yang sangat meresahkan saat ini adalah masalah pencurian. Pencurian merupakan masalah yang sangat merugikan bagi korban pencurian. Banyak dari pencurian tersebut terjadi pada malam hari saat tingkat kewaspadaan masyarakat mulai berkurang. Kamera CCTV (Closed-Circuit Television) dapat digunakan sebagai langkah meningkatkan sistem keamanan dari pencurian pada area yang telah dipasang kamera CCTV. Akan tetapi, sistem kamera CCTV ini hanya berfungsi sebagai sistem pemantau keamanan pasif saja. Disisi lain, perkembangan teknologi didukung dengan adanya perkembangan mobile apps salah satunya adalah aplikasi Android. Selain mempermudah dalam melakukan komunikasi dan bertukar informasi, teknologi ini juga mempermudah penggunaan jasa atau aktivitas secara praktis melalui smartphone. Penelitian ini dilakukan untuk menghasilkan sebuah aplikasi Android yang dapat menerima peringatan berupa notifikasi, menampilkan tangkapan gambar, dan menampilkan video livestream dari kamera CCTV yang dipasang di area tambak udang (Maritime Science Techno Park) MSTP Undip, Jepara. Aplikasi Android ini dirancang menggunakan Bahasa Pemrograman Dart dan Framework Flutter. Untuk mendukung fitur notifikasi yang mumpuni, digunakan layanan push Notification yaitu One Signal Push Notification.
PERANCANGAN TWO PHASE INTERLEAVED BIDIRECTIONAL DC-DC CONVERTER BERBASIS MIKROKONTROLER DSPIC30F2020
Authors: Ahlami Zahirah , Setiawan Iwan , Sinuraya Enda Wista 
Published: July 2022

Rangkaian konverter arus searah dibutuhkan untuk mengatur arah aliran daya yang mengalir pada baterai dengan tegangan yang lebih tinggi dan baterai dengan tegangan yang lebih rendah. Pengaturan ini diperlukan untuk menyesuaikan arah aliran daya dengan kebutuhan beban. Dalam penelitian ini telah dirancang Two Phase Interleaved Bidirectional DC-DC Converter berbasis Mikrokontroler dsPIC30F2020 yang mampu menghasilkan riak arus keluaran yang semakin halus dengan fitur phase shift. Pengujian dilakukan dengan variasi duty cycle pada rentang 35% 65% dengan interval nilai duty cycle sebesar 5% untuk mengetahui arah aliran daya pada baterai 24V sebagai tegangan sisi tinggi dan baterai 12V sebagai tegangan sisi rendah. Hasil pengujian menunjukkan bahwa saat nilai duty cycle berada diatas 50%, maka konverter akan bekerja dalam mode buck dan mengalirkan daya dari baterai 24V menuju baterai 12V. Sedangkan saat nilai duty cycle berada dibawah 50%, maka konverter akan bekerja dalam mode boost dan mengalirkan daya dari baterai 12V menuju baterai 24V. Fitur phase shift yang diatur menggunakan mikrokontroler 16 bit dsPIC30F2020 menyebabkan arus yang mengalir pada dua buah induktor tidak mengalami kenaikan maupun penurunan secara bersamaan sehingga menghasilkan riak arus keluaran sebesar 21,42% dari riak arus yang mengalir pada salah satu induktor.Kata kunci: Two Phase Interleaved Bidirectional DC-DC Converter, buck, boost, dsPIC30F2020, phase shift.
IMPLEMENTASI INVERTER ALTIVAR 12 DAN TOSHIBA VFS15 SEBAGAI PENGENDALIAN KECEPATAN PADA MOTOR INDUKSI 3 FASA UNTUK APLIKASI SISTEM KONVEYOR TERKENDALI
Authors: Basyar Ammar Akbar Ghifari , Handoko Susatyo , Setiawan Iwan 
Published: July 2022

Pada pengoperasian motor induksi 3 fasa, salah satu hal yang menjadi permasalahan adalah kesulitan dalam mengatur kecepatan putar motor. Kecepatan putaran motor induksi dapat diatur dengan cara mengubah frekuensi dengan menggunakan inverter. Penelitian ini bertujuan mengetahui pengaruh perubahan frekuensi terhadap kecepatan putaran motor induksi 3 phasa menggunakan inverter. Inverter yang digunakan untuk mengendalikan kecepatan motor induksi 3 fasa disebut dengan variable speed drive (VSD). VSD yang digunakan dalam tugas akhir ini adalah produk yang dibuat oleh Schneider Electric yaitu Altivar 12 dan Toshiba VFS15. Selama operasi pengaturan kecepatan motor induksi tiga fasa menggunakan VSD Altivar 12 dan Toshiba VFS15, nilai frekuensi berbanding lurus dengan kecepatan putar motor dan tegangan, karena semakin besar frekuensi maka diperoleh kecepatan putar motor dan tegangan semakin tinggi.
ANALISIS KESEIMBANGAN BEBAN DI GEDUNG ICT UNIVERSITAS DIPONEGORO
Authors: Rahmawati Rita Devi , Winardi Bambang , Zahra Ajub Ajulian 
Published: July 2022

Gedung ICT Universitas Diponegoro merupakan gedung yang difungsikan sebagai gedung perkantoran bagi Lembaga Pengembangan & Penjaminan Mutu Pendidikan (LP2MP) dan Lembaga Penelitian dan Pengabdian Kepada Masyarakat(LPPM).Dengan data hasil pen gukuran yang dilakukan menggunakan Power Quality Analyzer dan tangampere, maka didapatkan adanya ketidakseimbangan beban. Salah satu tanda ketidakseimbangan beban adalah adanya arus netral. Pengukuran pada SDP lantai 1 diketahui arus netral sebesar 5,8 A. Oleh karena itu dilakukan analisis mengenai keseimbangan beban di Gedung ICT Universitas Diponegoro menggunakan software bantu ETAP 12.6 dan evaluasi Circuit Breaker sebagai perlatan proteksi demi terciptanya keamanan dan kenyamanan. Berdasarkan hasil perhitungan dan simulasi ETAP 12.6 maka didapatkan nilai arus netral pada SDP Lantai 1 sebesar 0,7 A, selain itu Circuit breaker yang terpasang masih berfungsi dengan baik.
ANALISIS TEKNIS PADA PERENCANAAN PEMBANGKIT LISTRIK TENAGA SURYA DI GEDUNG RUMAH SAKIT MEDIKA DRAMAGA BOGOR
Authors: Vikrin Valih Aqila Dhiya , Karnoto Karnoto , Sinuraya Enda Wista 
Published: July 2022

Energi Surya merupakan salah satu bentuk dari Energi baru dan terbarukan yang mempunyai peran penting dalam memenuhi kebutuhan energi. Energi surya merupakan alternatif energi terbarukan yang mampu menjadi salah satu solusi untuk menjadi pengganti energi fosil. Indonesia merupakan negara yang secara geografis dilalui oleh garis khatulistiwa sehingga memiliki potensi besar dalam hal pemanfaatan energi surya. Rumah Sakit Medika Dramaga yang terletak pada kota bogor memiliki lahan terbuka yang dapat dimanfaatkan sebesar 1318 m2 dan intensitas radiasi matahari yang mencapai nilai rata-rata 5.17 kWh/m2/hari dapat menjadi lokasi untuk pemanfaatan PLTS. PLTS On Grid merupakan sistem PLTS yang terintegrasi dengan jaringan jala-jala PLN, di mana PLN sebagai pemasok energi utama dan PLTS sebagai pemasok energi tambahan. Melalui software PVSyst 6.43, perencanaan PLTS di Rumah Sakit Medika Dramaga Bogor ini diperkirakan memproduksi 311,9 MWh tiap tahunnya. Setelah melalui proses konversi energi listrik berkurang menjadi 297,82 MWh dengan pembagian 290,33 MWh digunakan untuk mensuplai beban dan 7,49 MWh dikirim ke jaringan jala-jala listrik PLN (Grid).
SISTEM IDENTIFIKASI UKURAN TUBUH MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN)
Authors: Fachmi Rizal , Hidayatno Achmad , Soetrisno Yosua Alvin Adi 
Published: July 2022

Manusia memerlukan perhitungan ukuran tubuh untuk menentukan ukuran baju yang cocok. Pada tugas akhir ini, dirancang suatu sistem identifikasi ukuran tubuh menggunakan metode Convolutional Neural Network (CNN). Masukkan sistem adalah citra tubuh manusia yang akan dihitung tiga bagian tubuh yaitu panjang badan, lingkar badan dan lebar bahu. Pada bagian identifikasi bagian tubuh menggunakan model OpenPose untuk mendeteksi bagian tubuh manusia. Perhitungan bagian tubuh dihitung menggunakan metode Euclidian distance untuk mengetahui jarak antara dua titik. Keluaran dari sistem identifikasi adalah parameter ukuran tubuh manusia dalam satuan centimeter. Kinerja sistem dihitung dengan menggunakan metode root mean square error. Pada pengujian lebar bahu menghasilkan nilai root mean square error terbaik sebesar 1.97, bagian lingkar badan nilai root mean square terkecil sebesar 2.67 sedangkan pada panjang badan nilai root mean square error terkecil adalah 1.97.