bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature
Authors: Castro-de-Araujo Luis Fernando Silva , Cortes Fanny , de Siqueira Filha Noêmia Teixeira , Rodrigues Elisângela da Silva , Machado Daiane Borges , Araujo Jacyra Azevedo Paiva de , Lewis Glyn , Denaxas Spiros , Barreto Mauricio L. 
Published: September 2022

ObjectiveThe presence of two or more chronic diseases results in worse clinical outcomes than expected by a simple combination of diseases. This synergistic effect is expected to be higher when combined with some conditions, depending on the number and severity of diseases. Multimorbidity is a relatively new term, with the first fundamental definitions appearing in 2015. Studies usually define it as the presence of at least two chronic medical illnesses. However, little is known regarding the relationship between mental disorders and other non-psychiatric chronic diseases. This review aims at investigating the association between some mental disorders and non-psychiatric diseases, and their pattern of association.MethodsWe performed a systematic approach to selecting papers that studied relationships between chronic conditions that included one mental disorder from 2015 to 2021. These were processed using Covidence, including quality assessment.ResultsThis resulted in the inclusion of 26 papers in this study. It was found that there are strong associations between depression, psychosis, and multimorbidity, but recent studies that evaluated patterns of association of diseases (usually using clustering methods) had heterogeneous results. Quality assessment of the papers generally revealed low quality among the included studies.ConclusionsThere is evidence of an association between depressive disorders, anxiety disorders, and psychosis with multimorbidity. Studies that tried to examine the patterns of association between diseases did not find stable results.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021216101, identifier: CRD42021216101.
Interrater reliability of the BelRAI Social Supplement in Flanders, Belgium: Simultaneous rating of community-dwelling adults with care needs during COVID-19
Authors: Van Doren Shauni , De Coninck David , Hermans Kirsten , Declercq Anja 
Published: September 2022

BackgroundThe BelRAI Screener is a short-form assessment consolidating internationally validated interRAI items focusing on physical and psychological aspects of functioning and problems with activities of daily living. It was fully implemented in the Flemish home care setting as of June 2021. In a biopsychosocial model for developing a personalized and effective care plan social and contextual aspects are considered equally important to biomedical ones. Thus, a social supplement to the BelRAI Screener was collaboratively developed with stakeholders and tested to gather additional information on the social context of community-dwelling adults with care needs.Objective and methodsTo examine the interrater reliability of the BelRAI Social Supplement in Flanders, Belgium, an observational study was conducted using a convenience sample. The method of simultaneous rating was used due to strict COVID-19 guidelines at the time and to minimize assessment burden. Fifty two community-dwelling adults requesting home care support were simultaneously assessed by two independent assessors during home visits. Interrater reliability was tested on all 80 items of the BelRAI Social Supplement using observed agreement, kappa coefficients, and intraclass correlation coefficients.ResultsThe kappa mean (0.74) and median (0.79) values for nominal items, show substantial agreement, while the kappa mean and median values for ordinal items were 0.81 and 0.90, which correspond to almost perfect agreement. Following the traditional cut-off points for the interpretation of the kappa statistic, reliability was almost perfect (κ &gt; 0.81) for 49% of all items, substantial (0.60 &lt; κ ≤ 0.80) for 33%, moderate (0.40 &lt; κ ≤ 0.60) for 8%, and poor (κ &lt; 0.40) for 10%. The majority of items with poor kappa value, showed a high observed agreement, reflecting homogeneity of the sample rather than poor agreement.ConclusionThe strength of kappa agreement for the items in this version of the BelRAI Social Supplement is generally substantial to almost perfect, with high proportions of observed agreement. COVID-19 restrictions had a large impact on the planning and execution of the home visits. A final optimization of the instrument and accompanying manual according to the findings will result in an improved version ready for nation-wide implementation.
Cognitive, emotional, physical, and behavioral stress-related symptoms and coping strategies among university students during the third wave of COVID-19 pandemic
Authors: Attia Merna , Ibrahim Fatma A. , Elsady Mohamed Abd-Elfatah , Khorkhash Mohamed Khaled , Rizk Marwa Abdelazim , Shah Jaffer , Amer Samar A. 
Published: September 2022

BackgroundStress is manifested by different physical, cognitive, emotional, and behavioral stress-related symptoms, and everyone experiences it uniquely. The COVID-19 Pandemic has tremendously affected university students' lives. So, we conducted this study to determine the stress frequency, causes, determinants, and related symptoms involving physical, cognitive, emotional, and behavioral traits and coping strategies among university students in Egypt during the third wave of the COVID-19 pandemic, 2021.MethodsCross-sectional study targeted 1,467 randomly selected undergraduate university students, representing all colleges from 30 universities in Egypt, through a validated self-administrated questionnaire.ResultsThe total stress-related symptom score was statistically significant (p &lt; 0.05), higher among females, married, living on campus, with a (B) GPA, and those who had both organic and psychological disorders. The top 10 prevalent physical symptoms were headaches, chronic fatigue, hair loss, low back pain, neck pain, shoulders and arm pain, ophthalmological symptoms, acne, shakiness of extremities, and palpitations, respectively. The most reported symptoms regarding the cognitive, emotional, and behavioral aspects were anxiety and racing thoughts, moodiness and irritability, and excessive sleeping, respectively. Nine hundred and thirty-seven (63.9%) reported that the COVID-19 pandemic badly affected their lives, either directly or indirectly. The study showed that the prevalence of stress among university students is more than 97%. One thousand and five (68.5%) preferred isolation as a relieving technique.ConclusionStress and its related physical, cognitive, emotional, and behavioral symptoms are prevalent among university students. Most of the university students who were recruited reported that the COVID-19 pandemic badly affected their lives and used negative ways to deal with stress, like staying alone and sleeping too much. Positive ways to deal with stress, like seeing a therapist or meditating, were less common.
Mapping the structure of depression biomarker research: A bibliometric analysis
Authors: Guo Xiang-jie , Wu Peng , Jia Xiao , Dong Yi-ming , Zhao Chun-mei , Chen Nian-nian , Zhang Zhi-yong , Miao Yu-ting , Yun Ke-ming , Gao Cai-rong , Ren Yan 
Published: September 2022

BackgroundDepression is a common mental disorder and the diagnosis is still based on the descriptions of symptoms. Biomarkers can reveal disease characteristics for diagnosis, prognosis, and treatment. In recent years, many biomarkers relevant to the mechanisms of depression have been identified. This study uses bibliometric methods and visualization tools to analyse the literature on depression biomarkers and its hot topics, and research frontiers to provide references for future research.MethodsScientific publications related to depression biomarkers published between 2009 and 2022 were obtained from the Web of Science database. The BICOMB software was used to extract high-frequency keywords and to construct binary word-document and co-word matrices. gCLUTO was used for bicluster and visual analyses of high-frequency keywords. Further graphical visualizations were generated using R, CiteSpace and VOSviewer software.ResultsA total of 14,403 articles related to depression biomarkers were identified. The United States (34.81%) and China (15.68%), which together account for more than half of all publications, can be considered the research base for the field. Among institutions, the University of California, University of London, and Harvard University are among the top in terms of publication number. Three authors (Maes M, Penninx B.W.J.H., and Berk M) emerged as eminent researchers in the field. Finally, eight research hotspots for depression biomarkers were identified using reference co-citation analysis.ConclusionThis study used bibliometric methods to characterize the body of literature and subject knowledge in the field of depression biomarker research. Among the core biomarkers of depression, functional magnetic resonance imaging (fMRI), cytokines, and oxidative stress are relatively well established; however, research on machine learning, metabolomics, and microRNAs holds potential for future development. We found “microRNAs” and “gut microbiota” to be the most recent burst terms in the study of depression biomarkers and the likely frontiers of future research.
Cognitive dysfunction and cortical structural abnormalities in first-episode drug-naïve schizophrenia patients with auditory verbal hallucination
Authors: Shen Xuran , Jiang Fuli , Fang Xinyu , Yan Wei , Xie Shiping , Zhang Rongrong 
Published: September 2022

ObjectiveThe current study aimed to examine the cognitive profiles and cortical structural alterations in first-episode drug-naïve schizophrenia with AVH (auditory verbal hallucination).MethodsCortical structural parameters including cortical thickness and local gyrification index (LGI) estimated using FreeSurfer as well as cognitive performance assessed on the MATRICS Consensus Cognitive Battery (MCCB) were acquired from 78 schizophrenia patients with AVH, 74 schizophrenia patients without AVH (non-AVH), and 76 healthy controls (HC). Hoffman Auditory Hallucination Rating Scale (HAHRS) was applied to assess the severity of AVH.ResultsThe results revealed extensive deficits in all cognitive domains among AVH, non-AVH, and HC groups. Compared to non-AVH group, the AVH group showed poorer performance on visual learning and verbal learning domains. There were six brain regions with cortical thinning in the right hemisphere of inferior temporal gyrus, superior temporal gyrus, lateral orbito frontal cortex, rostral anterior cingulate cortex, supramarginal gyrus and insula, and two brain regions with increased LGI in the left hemisphere of superior parietal gyrus and the right hemisphere of caudal anterior cingulate cortex on AVH group relative to non-AVH group. Correlation analysis revealed that the cortical thickness in the right hemisphere of lateral orbito frontal cortex was negatively correlated with the severity of AVH in schizophrenia patients with AVH.ConclusionVisual learning, verbal learning dysfunction, and specific disruption of cortical structure may characterize schizophrenia patients with AVH during early stages of the disorder. Right lateral orbito frontal cortical deficits may be the pathological mechanisms underlying AVH in first-episode drug-naïve schizophrenia.
Prediction of corneal astigmatism based on corneal tomography after femtosecond laser arcuate keratotomy using a pix2pix conditional generative adversarial network
Authors: Zhang Zhe , Cheng Nan , Liu Yunfang , Song Junyang , Liu Xinhua , Zhang Suhua , Zhang Guanghua 
Published: September 2022

PurposeThis study aimed to develop a deep learning model to generate a postoperative corneal axial curvature map of femtosecond laser arcuate keratotomy (FLAK) based on corneal tomography using a pix2pix conditional generative adversarial network (pix2pix cGAN) for surgical planning.MethodsA total of 451 eyes of 318 nonconsecutive patients were subjected to FLAK for corneal astigmatism correction during cataract surgery. Paired or single anterior penetrating FLAKs were performed at an 8.0-mm optical zone with a depth of 90% using a femtosecond laser (LenSx laser, Alcon Laboratories, Inc.). Corneal tomography images were acquired from Oculus Pentacam HR (Optikgeräte GmbH, Wetzlar, Germany) before and 3 months after the surgery. The raw data required for analysis consisted of the anterior corneal curvature for a range of ± 3.5 mm around the corneal apex in 0.1-mm steps, which the pseudo-color corneal curvature map synthesized was based on. The deep learning model used was a pix2pix conditional generative adversarial network. The prediction accuracy of synthetic postoperative corneal astigmatism in zones of different diameters centered on the corneal apex was assessed using vector analysis. The synthetic postoperative corneal axial curvature maps were compared with the real postoperative corneal axial curvature maps using the structural similarity index measure (SSIM) and peak signal-to-noise ratio (PSNR).ResultsA total of 386 pairs of preoperative and postoperative corneal tomography data were included in the training set, whereas 65 preoperative data were retrospectively included in the test set. The correlation coefficient between synthetic and real postoperative astigmatism (difference vector) in the 3-mm zone was 0.89, and that between surgically induced astigmatism (SIA) was 0.93. The mean absolute errors of SIA for real and synthetic postoperative corneal axial curvature maps in the 1-, 3-, and 5-mm zone were 0.20 ± 0.25, 0.12 ± 0.17, and 0.09 ± 0.13 diopters, respectively. The average SSIM and PSNR of the 3-mm zone were 0.86 ± 0.04 and 18.24 ± 5.78, respectively.ConclusionOur results showed that the application of pix2pix cGAN can synthesize plausible postoperative corneal tomography for FLAK, showing the possibility of using GAN to predict corneal tomography, with the potential of applying artificial intelligence to construct surgical planning models.
Magnitude of cesarean-section and associated factors among diabetic mothers in Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia: A cross-sectional study
Authors: Eshetu Bajrond , Balis Bikila , Daba Woreknesh , Mekonnen Bazie , Getachew Tamirat , Roga Ephrem Yohanes , Habte Sisay , Bekele Habtamu , Ketema Indeshaw , Debella Adera 
Published: September 2022

BackgroundGestational diabetes is associated with multiple adverse pregnancy outcome as a result of unfavorable labor and delivery process with a consequent increase in obstetric interventions including cesarean-section. Even though diabetes mellitus increases the cesarean-section rate; there is no study conducted in Ethiopia. therefore, this study aimed to assess the magnitude of cesarean-section and associated factors among diabetic mothers in Tikur Ambessa Specialize Hospital, Addis Ababa, Ethiopia.MethodsA facility-based retrospective cross-sectional study was conducted in Tikur Anbessa Specialized Hospital from 1 February to 30 April 2018 among 346 diabetic mothers. All required data were extracted from patients' charts using checklists, and incomplete records were excluded. The collected data were entered into Epi data version 4.2 and exported to SPSS version 20 for analysis. Multiple logistic regression models were fitted to identify factors associated with cesarean section. Adjusted odds ratios along with 95% CI were estimated to measure the strength of the association and declared statistical significance at a p-value &lt;0.05.ResultsThe magnitude of cesarean-section was 57.8% (95% CI: 51.7, 63.3). Pregnancy-induced hypertension [AOR: 3.35, (95% CI: (1.22, 9.20)], previous C/S [AOR: 1.62, (95% CI: (2.54, 4.83)], and fetal distress [AOR: 4.36, (95% CI: 1.30, 14.62)] were factors significantly associated with cesarean-section.ConclusionA considerable number of diabetic mothers gave birth by cesarean-section. Pregnancy-induced hypertension, previous cesarean-section, and fetal distress were factors more likely to increase the rate of cesarean-section. Most of the factors were modifiable by following the WHO recommendation for cesarean-section.
Psychological determinants of COVID-19 vaccine acceptance among urban slum dwellers of Bangladesh
Authors: Patwary Muhammad Mainuddin , Bardhan Mondira , Al Imran Sardar , Hasan Mehedi , Imam Tuhi Faiza , Rahim Sama Jamila , Newaz Md. Navid , Hasan Mahadi , Haque Md. Zahidul , Disha Asma Safia , Hossain Md. Riad , Rodriguez-Morales Alfonso J. , Saeed Fahimeh , Nazari Sardar Khan , Shoib Sheikh 
Published: September 2022

IntroductionCoronavirus disease 2019 (COVID-19) vaccination has emerged as a promising approach to counter the harmful impacts of the pandemic. Understanding the psychological components that may impact an individual's attitude toward COVID-19 vaccination is crucial for generating evidence-based ways to minimize vaccine hesitancy. This study determined the psychological antecedents regarding vaccine acceptance among urban slum people of Bangladesh.MethodsFrom 5 July to 5 August 5, 2021, a face-to-face survey was conducted in the urban slum of two large cities in Bangladesh. The questionnaire considered socio-demographics, health-related characteristics, psychological determinants, sources of information, and conspiracy beliefs regarding COVID-19. The 5C sub-scales were used to assess psychological antecedents. Five stepwise binary logistic regression models evaluated significant predictors for confidence, complacency, calculation, constraints, and collective responsibility. Multinomial logistic regression was used to determine the relationship between psychological antecedents and vaccine acceptability.ResultsThe study revealed that the slum residents with a high level of confident (89.94%), complacent (72.73%), having constraints (82.31%), calculative (84.80%), and responsible (93.30%) showed a higher vaccine acceptance rate. Higher vaccine acceptance was related to the believer in natural-made origin (85.96%) and those who rejected anti-vaccination (88.44%). The information acquired from newspapers differed significantly (p &lt; 0.05), though TV or radio was the most common primary information source about COVID-19 vaccines (74.75%). The regression result revealed that marital status, education, family income, and perceived health condition were significantly associated with the 5C domains. Two psychological antecedents including complacency (OR = 3.97; p &lt; 0.001) and collective responsibility (OR = 0.23; p &lt; 0.001) were significantly associated with vaccine acceptance.ConclusionsDifferent predictors significantly affect psychological antecedents related to COVID-19 vaccine uptake. Therefore, considering the factors, targeted actions based on the findings may help to lower vaccine reluctance and boost vaccination rates.
Widely-tunable mid-infrared (2.6–5 μm) picosecond vortex laser
Authors: Jashaner Dana , Zhou Yuxia , Yusufu Taximaiti 
Published: September 2022

Abstract
We report on a widely-tunable mid-infrared picosecond optical vortex laser source that employs a synchronously-pumped optical parametric oscillator optimized for mid-infrared emission up to 5 μm. Vortex output with a continuously-tunable wavelength range of 2.6–5 μm could be obtained simply by translating the MgO:PPLN crystal. At the maximum pump power of 15 W, the maximum idler output powers were measured as 3.7, 1.7, and 0.165 W at the wavelengths of 2.6, 3.8, and 5 μm, respectively. The corresponding photon conversion efficiencies were estimated to be 60% at 2.6 μm, 40% at 3.8 μm, and 5.2% at 5 μm.
Analisis WMA Pada Forcasting Persediaan Bahan Bangunan di CV. Edt Group
Authors: Netika Netika 
Published: September 2022

Perkembangan teknologi informasi dari tahun ke tahun selalu mengalami perkembangan yang sangat pesat. Banyaknya fasilitas kemudahan-kemudahan yang ditimbulkan oleh perkembangan teknologi informasi secara langsung berdampak kepada kegiatan organisasi.Dengan sistem informasi peramalan, persediaan semen, batu bata dan seng akan lebih efektif dan efisen, agar tercapainya target pembangunan dengan alat bantu teknologi informasi. Alat bantu teknologi informasi yang dimaksud yaitu peramalan atau Forcasting menggunakan Metode Weighted Moving Average. Melalui penerapan metode ini, peneliti akan memproses dan memprediksi persediaan bahan bangunan, dengan metode tersebut mengambil berdasarkan data historis terdahulu pada lokasi penelitian yaitu CV. Edt Group.

Kata kunci—Forecasting, Weighted Moving Average, Persediaan Bahan Bangunan
Analisis Faktor-Faktor yang Mempengaruhi Capaian Pembelajaran Mahasiswa Selama Perkuliahan Daring di Masa Pandemi Covid-19
Authors: Rovi Muhamad , Pratama Ahmad Raf'ie , Hidayat Taufik 
Published: September 2022

Pandemi Covid-19 yang melanda seluruh dunia, termasuk Indonesia telah berdampak pada semua aspek kehidupan, salah satunya pada pendidikan tinggi. Pandemi Covid-19 memaksa mahasiswa untuk melakukan pembelajaran daring secara penuh. Meski era globalisasi dengan kemajuan teknologi yang ada telah memberikan kemudahan dalam hal pertukaran informasi yang menjadi hal utama dalam proses pembelajaran daring, namun masih banyak permasalahan yang muncul akibat dari gangguan yang bersifat teknis dan non-teknis. Penelitian ini bertujuan untuk mengeksplorasi faktor-faktor apa saja yang dapat menghambat efektivitas proses perkuliahan daring yang pada akhirnya berkontribusi pada penurunan capaian pembelajaran mahasiswa selama pandemi Covid-19 di Indonesia. Data yang dikumpulkan melalui survei daring terhadap 150 orang mahasiswa perguruan tinggi di Indonesia kemudian dianalisis dengan metode structural equation modeling (SEM). Dari hasil analisis yang didapatkan, perbedaan zona waktu ditemukan sebagai faktor yang paling menghambat efektivitas perkuliahan, disusul dengan keahlian teknis dan infrastruktur teknologi informasi. Hasil penelitian ini dapat memberikan gambaran yang lebih baik untuk para pemangku kebijakan di dunia pendidikan tinggi dalam rangka menjaga efektivitas perkuliahan daring dan mencegah terjadinya penurunan capaian pembelajaran mahasiswa, baik di masa pandemi Covid-19 ini, maupun di kemudian hari nantinya, termasuk dalam pelaksanaan pendidikan jarak jauh yang juga sangat mengandalkan perkuliahan daring secara reguler.
Analisis Usability BPRGianyar.com Menggunakan Heuristic Evaluation dan Pendekatan Human-Centered Design
Authors: Hernanda I Putu Aris Richard , Githa Dwi Putra , Sasmita Gusti Made Arya 
Published: September 2022

BPR Gianyar Partasedana merupakan sebuah perusahaan pengkreditan rakyat yang berfokus pada UMKM di Daerah Gianyar yang memiliki website berisikan berbagai informasi layanan keuangan. Sejak pertama kali website dibuat belum pernah dilakukan evaluasi untuk mengetahui kepuasan dan permasalahan pengguna terhadap website tersebut. Evaluasi usability pada user interface perlu dilakukan agar mengetahui bagaimana interaksi pengguna saat menggunakan website dan mencari temuan permasalahan kegunaan. Metode yang digunakan untuk melakukan pengujian yaitu Heuristic Evaluation, analisa dilakukan dengan wawancara dan kuesioner agar mendapatkan data pengguna, sampel penelitian diambil dari nasabah ataupun masyarakat yang pernah menggunakan website BPR Gianyar. Evaluasi desain antarmuka awal memperlihatkan adanya permasalahan usability dengan kategori 3 (major usability problem) sehingga adanya permasalahan pada kegunaan utama. Pendekatan Human-Centered Design digunakan untuk dasar pemberian rekomendasi, hasil yang di dapat untuk evaluasi rekomendasi perbaikan desain antarmuka memperlihatkan adanya penurunan nilai permasalahan usability dari kategori 3 menjadi kategori 1 (cosmetic problem) sehingga sudah lebih baik dan tidak ada permasalahan yang mengganggu kegunaan sistem.

Kata kunci—Website, Usability, Heuristic Evaluation, Pendekatan Human-Centered Design