bluuebunny/crossref_metadata_2025_split huggingface dataset:
Level of satisfaction and associated factors among patients attending outpatient departments of south Wollo health facilities, Ethiopia
Authors: Ayele Wolde Melese , Ewunetu Abdurahman , Chanie Muluken Genetu 
Published: July 2022

Background
Patient satisfaction is a key metric for determining how efficient healthcare is delivered. When patients visit health care facilities, they express a clear desire for high-quality services. Inadequately meeting their anticipated needs and expectations may lead to disappointment. This study sought to investigate the level of satisfaction expressed by participants regarding services provided by outpatient departments of selected health facilities in the south Wollo zone of Ethiopia and associated predictors.

Methods
A facility-based cross-sectional study with a total sample of 540 patients was conducted from May 13 to 25, 2019. A multistage sampling technique was used to select participants. Data were collected an interviewer-administered structured validated questionnaire. Data analysis was conducted with SPSS version 20 to identify predictor variables, applying bivariate and multivariate logistic regression analysis to determine variables that most significantly predicted the outcome variable of the level of patient-satisfaction at 5% level of significance and 95% confidence interval.

Results
There were 537 participants in the study consisting of males (50.6%) and females (49.4%). An estimated 35.6% of respondents were between the ages of 28 and 37 years. The proportion of respondents high educational attainment was 179 (33.3%), and 155 (28.9%) of respondents reported having receive free health service of charge.

Conclusion
The study’s results revealed that overall client satisfaction was low. Furthermore, the politeness of health service providers, the convenience of the environment for asking questions, and the availability of all prescription drugs were found to have a significant relationship with level of satisfaction with the health center. Health managers and service providers should come up with creative ways to improve health workers’ caring behavior, protect patients’ privacy, and increase patient satisfaction by making all necessary drugs available.
Effect of switching from nucleos(t)ide maintenance therapy to PegIFN alfa-2a in patients with HBeAg-positive chronic hepatitis B: A randomized trial
Authors: Woo Hyun Young , Heo Jeong , Tak Won Young , Lee Heon Ju , Chung Woo Jin , Park Jung Gil , Park Soo Young , Park Young Joo , Lee Yu Rim , Hwang Jae Seok , Kweon Young Oh 
Published: July 2022

Aims
Induction of a durable viral response is difficult to achieve in patients with chronic hepatitis B (CHB), even from long-term use of a nucleos(t)ide analogue (NA). This study investigated whether switching to peginterferon (PegIFN) alfa-2a after long-term NA therapy induced a durable viral response.

Methods
Patients with hepatitis B e antigen (HBeAg)-positive CHB who received any NA for at least 72 weeks and had a low level of HBV DNA (≤100 IU/mL) were randomized (1:1) to receive PegIFN alfa-2a (180 μg/week) or NA for 48 weeks. The primary endpoint was change in the hepatitis B surface antigen (HBsAg) titer during antiviral therapy.

Results
We randomized 149 CHB patients to the two groups. Compared to baseline, the HBsAg levels in both groups were not lower at week 12, but were lower after 24, 36, and 48 weeks (all p<0.001). The maximal HBsAg decline in the PegIFN alfa-2a group was at week 36 (0.50±0.88 log10 IU/mL), and this decline was smaller in the NA group (0.08±0.46 log10 IU/mL). The percentage of patients with HBeAg seroconversion at week 48 was also greater in the PegIFN alfa-2a group (15/75 [20.0%] vs. 5/74 [6.8%], p = 0.018). Multivariable analysis indicated the PegIFN alfa-2a group had a greater change in HBeAg seroconversion at week 48 (p = 0.027). Patients had relatively good tolerance to PegIFN alfa-2a therapy.

Conclusions
CHB patients who switched to PegIFN alfa-2a for 48 weeks had a significantly lower HBsAg titer and increased HBeAg seroconversion relative to those who remained on NA therapy.

Trial registration
(ClinicalTrials.gov; NCT01769833).
Encouraging gender-inclusive acceptance of multipurpose national-identity smart cards
Authors: Yee Yen Yuen , Yeow P. H. P. , Wee Hong Loo 
Published: July 2022

Purpose
Gender-inclusive adoption of multipurpose national-identity smart cards (MNIS) is important to ensure gender equality, particularly in accessing public services offered by the card e.g. identity verification, healthcare, transit, banking, driving license, passport, etc. The aim is to study the gender differences in terms of the motivation and impediments of adopting MNIS to recommend gender-specific adoption strategies.

Methodology
The research framework is based on the Unified Theory of Acceptance and Use of Technology (UTAUT) with the added constructs of perceived credibility and anxiety. The data was collected through five hundred questionnaires from Malaysia (the MNIS pioneer) and analyzed using structural equation modeling.

Findings
The results show that females have significantly higher perceived credibility while males have significantly higher performance expectancy for MNIS. The correlation between performance expectancy and perceived credibility is significantly stronger among males.

Practical implications
Strategies recommended to policymakers include having social messages related to MNIS utility and convenience in campaigns targeting males while alleviating concerns over security and privacy for campaigns targeting females.

Originality/value
This is the first study that investigated the gender differences in adoption of MNIS by comparing the structural UTAUT models of both genders. The gender differences in MNIS adoption were explained using gender theories.
Analysis of epidemiological association patterns of serum thyrotropin by combining random forests and Bayesian networks
Authors: Becker Ann-Kristin , Ittermann Till , Dörr Markus , Felix Stephan B. , Nauck Matthias , Teumer Alexander , Völker Uwe , Völzke Henry , Kaderali Lars , Nath Neetika 
Published: July 2022

Background
Approaching epidemiological data with flexible machine learning algorithms is of great value for understanding disease-specific association patterns. However, it can be difficult to correctly extract and understand those patterns due to the lack of model interpretability.

Method
We here propose a machine learning workflow that combines random forests with Bayesian network surrogate models to allow for a deeper level of interpretation of complex association patterns. We first evaluate the proposed workflow on synthetic data. We then apply it to data from the large population-based Study of Health in Pomerania (SHIP). Based on this combination, we discover and interpret broad patterns of individual serum TSH concentrations, an important marker of thyroid functionality.

Results
Evaluations using simulated data show that feature associations can be correctly recovered by combining random forests and Bayesian networks. The presented model achieves predictive accuracy that is similar to state-of-the-art models (root mean square error of 0.66, mean absolute error of 0.55, coefficient of determination of R2 = 0.15). We identify 62 relevant features from the final random forest model, ranging from general health variables over dietary and genetic factors to physiological, hematological and hemostasis parameters. The Bayesian network model is used to put these features into context and make the black-box random forest model more understandable.

Conclusion
We demonstrate that the combination of random forest and Bayesian network analysis is helpful to reveal and interpret broad association patterns of individual TSH concentrations. The discovered patterns are in line with state-of-the-art literature. They may be useful for future thyroid research and improved dosing of therapeutics.
Risk factors for dementia in the context of cardiovascular disease: A protocol of an overview of reviews
Authors: Brain Jacob , Tully Phillip J. , Turnbull Deborah , Tang Eugene , Greene Leanne , Beach Sarah , Siervo Mario , Stephan Blossom C. M. 
Published: July 2022

Background
Dementia is a major public health priority. Although there is abundant evidence of an association between dementia and poor cardiovascular health, findings have been inconsistent and uncertain in identifying which factors increase dementia risk in those with cardiovascular disease. Indeed, multiple variables including sociodemographic, economic, health, lifestyle and education may indicate who is at higher vs. lower dementia risk and could be used in prediction modelling. Therefore, the aim of this review is to synthesise evidence on the key risk factors for dementia in those with a history of cardiovascular disease.

Methods
This is an overview of reviews protocol, registered on PROSPERO (CRD42021265363). Four electronic databases including MEDLINE, EMBASE, PsycINFO, and the Cochrane Database of Systematic Reviews will be searched. Studies will be included if they are systematic reviews and/or meta-analyses that have investigated the risk of incident dementia (all-cause and subtypes including Alzheimer’s disease and vascular dementia) in people with a history of coronary heart disease, heart failure, atrial fibrillation, hypertension, hyperlipidaemia, and vascular stiffness. Study selection will be completed by two independent researchers according to the eligibility criteria, and conflicts resolved by a third reviewer. References will be exported into Covidence for title and abstract sifting, full-text review, and data extraction. Methodological quality will be assessed using the AMSTAR-2 criteria and confidence of evidence will be assessed using the GRADE classification. This overview of reviews will follow PRISMA guidelines. If there is sufficient homogeneity in the data, the results will be pooled, and a meta-analysis conducted to determine the strength of association between each risk factor and incident all-cause dementia and its subtypes for each cardiovascular diagnoses separately.

Discussion
We will create a comprehensive summary of the key risk factors linking cardiovascular diseases to risk of incident dementia. This knowledge is essential for informing risk predictive model development as well as the development of risk reduction and prevention strategies.
Pregnancy complications and cardiovascular disease risk perception: A qualitative study
Authors: Andraweera Prabha H. , Lassi Zohra S. , Pathirana Maleesa M. , Plummer Michelle D. , Dekker Gus A. , Roberts Claire T. , Arstall Margaret A. 
Published: July 2022

Objectives
We aimed to assess women’s perceptions on the long-term risks for cardiovascular disease (CVD) after major pregnancy complications.

Methods
Women who experienced major pregnancy complications and those who experienced uncomplicated pregnancies were invited to participate in a qualitative study. Focus group discussions (FGDs) and self-administered questionnaires were used to explore: The knowledge of long-term sequelae after experiencing a major pregnancy complication; Importance of education on heart health; The practicality of referral to a clinic after pregnancy complications; Willingness for regular postpartum clinic visits after pregnancy complications. A thematic qualitative analysis was undertaken.

Results
26 women participated in four FGDs. The majority of women did not know of the association between major pregnancy complications and CVD. The main views expressed were: Women who experience pregnancy complications should receive education on improving heart health; An appointment for the first CVD risk screening visit needs to be made prior to discharge from the delivery suite; Women will benefit by having the option to select between a hospital and a general-practitioner based model of follow up.

Conclusions
These views are important in developing postpartum strategies to reduce CVD risk among women who experience pregnancy complications.
Carers’ and health workers’ perspectives on malnutrition in infants aged under six months in rural Ethiopia: A qualitative study
Authors: Jibat Nega , Rana Ritu , Negesse Ayenew , Abera Mubarek , Abdissa Alemseged , Girma Tsinuel , Haile Anley , Barthorp Hatty , McGrath Marie , Grijalva-Eternod Carlos S. , Kerac Marko , Berhane Melkamu 
Published: July 2022

ObjectivesSupporting small and nutritionally at-risk (potentially malnourished) infants under six months is a global health priority, albeit with a weak evidence-base. To inform policy and research in this area, we aimed to assess the perceptions and understanding of infant malnutrition and its management among carers, communities, and healthcare workers in rural Ethiopia.MethodsWe conducted in-depth and key-informant interviews, from May-August 2020 in Jimma Zone and Deder District, Ethiopia. We used purposive sampling to recruit the participants. Interviews were transcribed into Amharic or Afaan Oromo and then translated into English. Atlas ti-7 was used to support data analysis. Findings were narrated based on the different themes arising from the interviews.ResultsCarers/community members and healthcare workers reported on five different themes: 1) Perceptions about health and well-being: an ‘ideal infant’ slept well, fed well, was active and looked ‘fat’; 2)Perceptions of feeding: overall knowledge of key recommendations like exclusive breastfeeding was good but practices were suboptimal, notably a cultural practice to give water to young infants; 3)Awareness about malnutrition: a key limitation was knowledge of exactly how to identify small and nutritionally at-risk infants; 4) Reasons for malnutrition: levels of understanding varied and included feeding problems and caregiver’s work pressures resulting in the premature introduction of complementary feeds; 5) Perceptions about identification & treatment: carers prefer treatment close to home but were concerned about the quality of community-based services.ConclusionTo succeed, research projects that investigate programes that manage small and nutritionally at-risk infants under six months should understand and be responsive to the culture and context in which they operate. They should build on community strengths and tackle misunderstandings and barriers. Interventions beyond just focusing on knowledge and attitude of the carers and health workers are necessary to tackle the challenges around infants under 6 months of age at risk of malnutrition. Moreover, stakeholders beyond the health sector should also be involved in order to support the infants under 6 months and their mothers as some of the key reasons behind the at-risk infants are just beyond the capacity of the health sector or health system. Our list of themes could be used to inform infant nutrition work not just in Ethiopia but also in many others.
Indonesian Interests in Hadith-Sourced COVID-19 Queries According to Google Trends
Authors: Imron Ali 
Published: July 2022

COVID-19 pandemic has had an impact on people’s religious lives all around the world. This article attempts to examine the following hypothesis: COVID-19 also influences religious life in Indonesia, the results of which can be also observed in hadith studies. This study employed a mixed-method. The data is compiled through Google Trends (GT) from 1 December 2019 to 20 August 2020, pointing to four keywords. The data is analyzed through a content analysis. This research suggests that there is an exponentially increasing search using those four words on the internet. The search for hadiths on COVID-19 was only conducted in West Java. ‘Doa Covid’ (prayer for protection from COVID-19) became the most exponentially searched keyword across Indonesia. The GT data suggests that individuals are searching the internet for an explanation about the prophetic guideline in dealing with COVID-19. The most popular articles are published in Republika Online, Tribun Newsgroup, MadaniNews, Okezone, and Liputan6. The hadiths mentioned in those articles contain mostly the prayers of the Prophet Muhammad to keep people away from illness or to obtain safety in the world and the afterlife.
PERANCANGAN PENCARIAN TITIK DAYA MAKSIMUM PANEL SURYA MENGGUNAKAN BOOST CONVERTER DENGAN ALGORITMA FIREFLY
Authors: Elinda Evan Hafidzudin , Setiawan Iwan , Sinuraya Enda Wista 
Published: July 2022

Energi surya merupakan salah satu energi terbarukan dengan sumber daya terbesar di bumi. Energi surya dapat dikonversi menjadi energi listrik menggunakan panel surya. Pada pengunaannya sebagai sumber energi listrik, panel surya memiliki beberapa kelemahan, seperti daya listrik yang dihasilkan dipengaruhi oleh iradiasi sinar matahari, suhu lingkungan, dan sudut datang matahari. Oleh karena itu, perlu adanya metode untuk memaksimalkan daya keluaran panel surya. Maximum Power Point Tracking (MPPT) merupakan suatu metode untuk memaksimalkan daya keluaran yang dihasilkan oleh panel surya. Penelitian ini bertujuan untuk merancang sistem MPPT menggunakan rangkaian boost converter dengan algoritma Firefly, kemudian menganalisis daya keluaran panel surya tersebut. Pengujian sistem MPPT dilakukan pada 2 kondisi irradiasi dan 3 variasi nilai beban. Daya maksimum yang dihasilkan sistem MPPT dengan variasi nilai beban 39 Ω, 50 Ω, dan 100 Ω pada irradiasi 765 W/m2 dan suhu 31oC adalah 25,76 W, sedangkan pada irradiasi 1215 W/m2 dan suhu 31oC adalah 36,77 W. Daya maksimum yang dihasilkan oleh MPPT tidak dipengaruhi oleh nilai beban.
PERANCANGAN SISTEM CHARGING BATERAI MENGGUNAKAN BUCK-BOOST CONVERTER DENGAN SUMBER PANEL SURYA BERBASIS MIKROKONTROLER ARDUINO NANO
Authors: Widhiawan Benekdiktus Angger Wahyu , Handoko Susatyo , Darjat Darjat 
Published: July 2022

Energi matahari merupakan sumber energi terbarukan alternatif untuk pembangkit listrik. Energi matahari dapat di rubah menjadi energi listrik dengan menggunakan panel surya. Panel surya memiliki karakteristik tegangan output yang berubah-ubah seiring berubahnya tingkat iradiasi matahari. Untuk mengatatasinya digunakan baterai sebagai penyimpan energi dan menyediakan sumber daya yang konstan untuk peralatan listrik. Namun untuk melakukan pengisian baterai dengan menggunakan sumber panel surya dibutuhkan adanya sebuah regulator untuk mengatur tegangan yang masuk ke baterai. Pada tugas akhir ini dibuat battery charging dengan metode buck-boost converter untuk menstabilkan tegangan luaran solar cell. Sistem battery charging menggunakan mikrokontroler arduino nano sebagai pusat kendali untuk menaikkan dan menurunkan tegangan luaran solar cell secara otomatis. Tegangan output dari sistem pengendali ini dijaga sesuai standar tegangan pengisian baterai. Hasil pengujian battery charging mencapai efisiensi 99,69 % pada pukul 12.15 WIB. Secara keseluruhan tegangan charging rata-rata yang terbaca sekitar 13,58 Volt dan arus charging yang dihasilkan rata-rata 0,44 Ampere. Charging battery 12 Volt membutuhkan waktu kurang lebih 120 menit dari keadaan battery 11,35 Volt sampai 12,63 Volt. Kata kunci : Buck-boost converter, Panel surya, Battery Charging
PERENCANAAN PEMBANGKIT LISTRIK TENAGA SURYA (PLTS) HYBRID DI GEDUNG ICT UNIVERSITAS DIPONEGORO MENGGUNAKAN SOFTWARE PVSYST 7.0
Authors: Nugroho Ragil Adi , Winardi Bambang , Sudjadi Sudjadi 
Published: July 2022

Indonesia berada di wilayah khatulistiwa sehingga memiliki potensi energi surya yang dapat dimanfaatkan untuk Pembangkit Listrik Tenaga Surya (PLTS). Menurut Power Data Acces Viewer NASA pada tahun 2019 Gedung ICT Universitas Diponegoro mempunyai tingkat radiasi rata-rata yang relatif tinggi yaitu sebesar 5,52 kWh/m2/hari, sehingga dapat memanfaatkan area rooftop dan area parkir terbuka menjadi siteplan PLTS. PLTS ini menggunakan sistem Hybrid yang mengandalkan energi matahari sebagai sumber utama dan baterai sebagai cadangan. Selain itu juga terdapat Automatic Transfer Switch (ATS) yang dapat menghubungkan ke jaringan PLN jika baterai dalam kondisi limit. Melalui software PVSyst 7.0, dengan komponen yang terdiri dari 132 modul berkapasitas 310 Wp/modul, 144 baterai dengan kapasitas 12v200 Ah/baterai, 1 unit inverter 50 kW dan 4 unit SCC 100 A/unit, energi listrik yang dihasilkan sebesar 91,5 MWh setiap tahunnya. Setelah melalui proses konversi energi listrik berkurang menjadi 65,383 MWh dengan pembagian 57,181 MWh mensuplai beban dan 8,202 MWh dikirim ke baterai sebagain cadangan dengan effisiensi sebesar 68,5%.
PERANCANGAN SISTEM PENGONTROLAN LAMPU LALU LINTAS BERDASARKAN TINGKAT KEPADATAN KENDARAAN MENGGUNAKAN METODE FUZZY
Authors: Furqon Saiful , Santoso Imam , Adi Soetrisno Yosua Alvin 
Published: July 2022

Sistem lampu lalu lintas merupakan perangkat yang berfungsi mengatur arus kendaraan yang akan melewati suatu persimpangan. Durasi lampu lalu lintas umumnya dikendalikan secara otomatis dengan menggunakan durasi waktu yang ditetapkan. Pengendalian ini masih kurang efektif dalam mengatur kendaraan yang akan melewati persimpangan, karena jumlah kendaraan setiap saat tidaklah sama. Berdasarkan masalah tersebut dilakukan pengembangan metode pengendalian lampu lalu lintas yang dapat mengatur durasi nyala lampunya agar dapat menyesuaikan dengan jumlah kendaraan yang akan melewati persimpangan. Logika fuzzy dapat digunakan untuk mengatur lama durasi penyalaan lampu lalu lintas yang dapat menyesuaikan dengan jumlah kendaraan yang ada, dan mudah untuk diimplementasikan. Dalam penelitian ini menggunakan mikrokontroler Atmega 328p dengan metode logika fuzzy Tsukamoto untuk mengendalikan durasi penyalaan lampu lalu lintas. Terdapat beberapa pengujian yang dilakukan, yaitu pengujian pembacaan data, pengujian penyalaan lampu hijau, pengujian ketika ada ruas kosong, dan ketika semua ruas kosong. Hasil pengujian didapatkan durasi penyalaan lampu lalu lintas dapat menyesuaikan dengan jumlah kendaraan yang ada di ruas persimpangan dengan baik.
Chemical constituents of plants from the genus Carpesium
Authors: Shi Ning-Ning , Hou Cong-Cong , Liu Yan , Li Kun-Yao , Mi Sheng-Dan , Tong Bin-Liang , Zhang Man-Li 
Published: July 2022

Abstract

Carpesium (Family – Compositae) is a genus with 24 species of mainly perennial herbs. Several species of this genus have served as folk medicine in China and Korea for their antipyretic, anti-inflammatory, analgesic, antifungal, antibacterial, and cytotoxic activity properties. Chemical constituents are mostly sesquiterpenes, diterpenes, glycosides, and several other types of compounds. This article summarizes the literature on the isolated and identified constituents from various Carpesium species and their various biological activities.
Microstructures and mechanical properties of AF1410 steel processed by vacuum electron beam welding with multiple beams
Authors: Fu Peng-Fei , Tang Zhen-Yun , Mao Zhi-Yong , Zhang An , Zhao Tong , Li Li-Hang 
Published: July 2022

Abstract
Electron beam welding (EBW) with multiple beams is an advantageous technology to weld parts, as it contributes to decreasing welding distortions and improving mechanical properties. EBW with multiple electron beams was applied to welding simultaneously with auxiliary heating, in a rhombus scanning design, and the energy ratio was 1:1 for AF1410 steel welding. The welds of EBW with multiple beams were nail shaped with a width of 2.54 mm, which were more uniform than those of conventional EBW, and the transversal and longitudinal distortions were lower. The microstructures of specimens processed by EBW with multiple beams contained martensite and a small amount of austenite, and the martensite laths were smaller and more homogeneous than those of conventional EBW. The microhardness values were also more uniform than those of conventional EBW specimens. The tensile strengths of the joints were above 1754 MPa, equivalent to those of conventional EBW, and the percentage elongations were above 9.7 %, which were higher than those of conventional EBW. The microstructure homogeneity and refinement of EBW with multiple beams contributed to improving the mechanical performance.