bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reciprocal Influence of Depressive Symptoms Between Mothers and Fathers During the First Postpartum Year: A Comparison Among Full-Term, Very Low, and Extremely Low Birth Weight Infants
Authors: Neri Erica , Giovagnoli Sara , Genova Federica , Benassi Mariagrazia , Stella Marcello , Agostini Francesca 
Published: December 2020

Background: Perinatal depression (PND) in mothers and fathers of very low and extremely low birth weight (VLBW and ELBW) infants has not been studied extensively. In particular, no studies investigated the reciprocal influence of depressive symptoms during the first 12 months postpartum. This study aimed at exploring the impact of the severity of prematurity on maternal and paternal PND during the first postpartum year; specifically, we used an Actor–Partner Interdependence Model (APIM) to test the interdependence of both partners on depressive symptoms.Methods: A total of 177 mothers and 177 fathers were recruited, divided into 38 couples with ELBW infants, 56 with VLBW, and 83 of full-term (FT) infants. PND was evaluated by the Edinburgh Postnatal Depression Scale (EPDS) at 3, 9, and 12 months postpartum (corrected age for preterm infants).Results: Maternal depressive symptoms at 3 months were positively related to those at 9 and 12 months in the 3 groups. Conversely, paternal depressive symptoms assessed at 3 months were positively related to those measured at 9 months for the ELBW group, 12 months for the VLBW group, 9 and 12 months for FT condition. Furthermore, a significantly positive partner effect was observed regarding the influence of 3 month maternal depressive symptoms on paternal depressive symptoms at 9 months, but only in the case of the VLBW group.Conclusion: Prematurity represents a very specific scenario in the transition to parenthood, leading to specific reactions in mothers and fathers, especially in high-risk conditions. Results should be deepened given the relevance of their clinical implications.
Patient Flow Dynamics in Hospital Systems During Times of COVID-19: Cox Proportional Hazard Regression Analysis
Authors: Bhandari Sudhir , Tak Amit , Singhal Sanjay , Shukla Jyotsna , Shaktawat Ajit Singh , Gupta Jitendra , Patel Bhoopendra , Kakkar Shivankan , Dube Amitabh , Dia Sunita , Dia Mahendra , Wehner Todd C. 
Published: December 2020

Objectives: The present study is aimed at estimating patient flow dynamic parameters and requirement for hospital beds. Second, the effects of age and gender on parameters were evaluated.Patients and Methods: In this retrospective cohort study, 987 COVID-19 patients were enrolled from SMS Medical College, Jaipur (Rajasthan, India). The survival analysis was carried out from February 29 through May 19, 2020, for two hazards: Hazard 1 was hospital discharge, and Hazard 2 was hospital death. The starting point for survival analysis of the two hazards was considered to be hospital admission. The survival curves were estimated and additional effects of age and gender were evaluated using Cox proportional hazard regression analysis.Results: The Kaplan Meier estimates of lengths of hospital stay (median = 10 days, IQR = 5–15 days) and median survival rate (more than 60 days due to a large amount of censored data) were obtained. The Cox model for Hazard 1 showed no significant effect of age and gender on duration of hospital stay. Similarly, the Cox model 2 showed no significant difference of age and gender on survival rate. The case fatality rate of 8.1%, recovery rate of 78.8%, mortality rate of 0.10 per 100 person-days, and hospital admission rate of 0.35 per 100,000 person-days were estimated.Conclusion: The study estimates hospital bed requirements based on median length of hospital stay and hospital admission rate. Furthermore, the study concludes there are no effects of age and gender on average length of hospital stay and no effects of age and gender on survival time in above-60 age groups.
Knowledge, Attitudes, and Practices Toward Coronavirus Disease 2019 in the Central Area of Iran: A Population-Based Study
Authors: Moradzadeh Rahmatollah , Nazari Javad , Shamsi Mohsen , Amini Saeed 
Published: December 2020

Background: The spread of the coronavirus disease 2019 (COVID-19) pandemic has imposed high threats on global health, life and work style, and social and economic development. The current study aimed to extract knowledge, attitudes, and practices related to COVID-19 among the general population in the central area of Iran.Method: A cross-sectional study was conducted in Arak City between April and May 2020. Stratified random sampling was applied to select the study participants. Phone interview was applied to collect the data. Data were collected using a questionnaire that was constructed and validated in this study. The questionnaire included demographic variables and items about knowledge, attitudes, and practices toward COVID-19. Descriptive and inferential analyses were conducted in STATA software.Results: In total, 544 participants completed the questionnaire; 76% of the participants accounted COVID-19 as a high threat 1 month from the onset of COVID-19. From the maximum attainable scores of 1, 6, and 6, for COVID-19-related knowledge, attitudes, and practices, means of 0.77 (0.13), 4.97 (0.63), and 5.35 (0.70) were obtained, respectively. Females had a higher practice score (5.4 ± 0.6). The participants with a family history of heart and respiratory diseases had significantly higher attitude and practice scores. SMS from the Ministry of Health had a significant impact on knowledge, attitude, and practice scores (p &lt; 0.05).Conclusion: Higher attention should be given to increase the knowledge, attitudes, and practices of men and the housewife group. COVID-19 preventive messaging from the Ministry of Health was among the most influential methods of increasing knowledge that attracted public attention.
Anatomical Modeling of Brain Vasculature in Two-Photon Microscopy by Generalizable Deep Learning
Authors: Tahir Waleed , Kura Sreekanth , Zhu Jiabei , Cheng Xiaojun , Damseh Rafat , Tadesse Fetsum , Seibel Alex , Lee Blaire S. , Lesage Frédéric , Sakadžic Sava , Boas David A. , Tian Lei 
Published: December 2020

Objective and Impact Statement
. Segmentation of blood vessels from two-photon microscopy (2PM) angiograms of brains has important applications in hemodynamic analysis and disease diagnosis. Here, we develop a generalizable deep learning technique for accurate 2PM vascular segmentation of sizable regions in mouse brains acquired from multiple 2PM setups. The technique is computationally efficient, thus ideal for large-scale neurovascular analysis.
Introduction
. Vascular segmentation from 2PM angiograms is an important first step in hemodynamic modeling of brain vasculature. Existing segmentation methods based on deep learning either lack the ability to generalize to data from different imaging systems or are computationally infeasible for large-scale angiograms. In this work, we overcome both these limitations by a method that is generalizable to various imaging systems and is able to segment large-scale angiograms.
Methods
. We employ a computationally efficient deep learning framework with a loss function that incorporates a balanced binary-cross-entropy loss and total variation regularization on the network’s output. Its effectiveness is demonstrated on experimentally acquired in vivo angiograms from mouse brains of dimensions up to

808
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Results
. To demonstrate the superior generalizability of our framework, we train on data from only one 2PM microscope and demonstrate high-quality segmentation on data from a different microscope without any network tuning. Overall, our method demonstrates 10× faster computation in terms of voxels-segmented-per-second and 3× larger depth compared to the state-of-the-art.
Conclusion
. Our work provides a generalizable and computationally efficient anatomical modeling framework for brain vasculature, which consists of deep learning-based vascular segmentation followed by graphing. It paves the way for future modeling and analysis of hemodynamic response at much greater scales that were inaccessible before.
METAMORPHOSIS VISUALIZATION WITH AUGMENTED REALITY USING MARKER-BASED TRACKING
Authors: Kencana Bayu Bagus , Prayudha Muhammad Fathur , Arifitama Budi 
Published: December 2020

Metamorphosis is a cycle of biological animal growth. Learning Metamorphosis is a part of learning for students in schools specifically in the area of biology subjects. Unfortunately, the observing activities take time, and finding an animal specimen is limited to study the metamorphosis cycle. This research proposes an innovative solution to overcome these problems which is the implementation of augmented reality technology. The animal metamorphosis cycle process is visualized into 4-dimensional objects to improve interaction for the student on learning metamorphosis during learning sessions. The Marker-Based Tracking method is used as an approach where the location of the tracking pattern on the marker has been determined in advance as the place where the augmented reality object appears. The results of this study indicate that using a marker-based tracking method can improve students' understanding of metamorphosis.
Implementación de un software modular en la cuenca del Arroyo Las Turbias. Provincia de Santa Fe
Authors: Vergara Javier , Morresi Maria del Valle , Gardiol Mario 
Published: December 2020

En los últimos 10 años, en la cuenca del arroyo Las Turbias del centro sur de la provincia de Santa Fe, se han producido crecidas más frecuentes ante menores montos precipitados. Como consecuencia, se presentan desbordes y anegamientos prolongados y en menor grado procesos erosivos puntuales en márgenes del cauce. Estos efectos de la amenaza natural se agravan por las intervenciones individuales, no planificadas, ejecución de obras viales, canales, bordos y terraplenes de defensa como también cambios tecnológicos en la producción agrícola, que modifican permanentemente la dinámica de escurrimiento. A esta situación se suman las inquietudes e incertidumbres de los productores de la zona en cuanto al trasvase de caudales desde otras cuencas. En este trabajo se implementó el software modular CAPRA GIS para representar áreas de inundación generadas por distintos escenarios de frecuencia probabilística. La simulación se realizó con el módulo ERN- Inundación en el tramo superior de la cuenca del arroyo Las Turbias para hietogramas de diseño de diferentes recurrencias. Los mapas obtenidos sirven de apoyo a los tomadores de decisión para que junto con los organismos de cuenca gestionen de forma adecuada las medidas estructurales y no estructurales correspondientes.
Allogeneic haematopoietic stem cell transplantation with reduced-intensity conditioning in chronic myeloid leukaemia
Authors: Morozova E. V. , Vlasova Y. I. , Barabanshikova M. V. , Afanaseva K. S. , Iurovskaia K. S. , Gindina T. L. , Barchatov I. M. , Alyanskiy A. L. , Bakin E. A. , Bondarenko S. N. , Moiseev I. S. , Zubarovskaya L. S. , Afanasyev B. V. 
Published: December 2020

Introduction. Allogeneic haematopoietic stem cell transplantation (allo-HSCT) is the only curative therapy for chronic myeloid leukaemia (CML).Aim. Analysis of allo-HSCT outcomes in CML patients following reduced-intensity conditioning (RIC) regimens.Materials and methods. This retrospective study included 110 CML patients who underwent allo-HSCT in 1995–2019. RIC regimens included busulfan (8–12 mg/kg), ﬂudarabine (180 mg/m2) or melphalan (140 mg/m2), ﬂudarabine (180 mg/m2). The median onset time for treatment with tyrosine kinase inhibitors (TKIs) was 60 days after allo-HSCT (30–835). Post-transplant graft-versus-host-disease (GVHD) prevention with cyclophosphamide (Cy) at high doses (PTCy) of 50 mg/kg in 3–4 days after allo-HSCT (D+3, D+4) was ordered in 61 % (n = 67), with antithymocyte globulin (ATGAM) 60 mg/kg — in 17 % (n = 19), with thymoglobulin 5 mg/kg — in 3 % (n = 3) of the patients.Results. In the study cohort, 50 % (n = 55) of the patients had chronic phase 2 and higher (CP ≥ 2), 25 % (n = 27) — accelerated phase (AP), 9 % (n = 10) — blast crisis (BC) phase of the disease. Among CP ≥ 2 patients, 63 % (n = 58) had a BC in history, and 25 % (n = 23) — 2 or more BCs. One-year non-relapse mortality (NRM) was 21 % (95 % CI 15–31). PTCy prevention of GVHD signiﬁcantly reduced the NRM risk relative to other schemes: 11 % (95 % CI 5–20) vs. 38 % (95 % CI 23–53) (p = 0.001). Acute GVHD II–IV had a rate of 23 % (95 % CI 15–31), chronic GVHD of moderate to severe degree 15 % (95 % CI 9–22). TKIs were used in 49 % (n = 29) cases for relapse prevention, in 40 % (n = 24) — due to the lack of response to allo-HSCT, in 10 % (n = 6) — in relapse. Donor lymphocyte infusion (DLI) was performed in 37 patients mainly in BCR-ABL positive cases (24 %, n = 9) and relapse (49 %, n = 18). Three-year relapse rate was 36 % (95 % CI 26–46), and ﬁve-year relapse-free survival (RFS) was 40 % (95 % CI 29–51). Transplantation in AP or BC phase signiﬁcantly increased the relapse rate (odds ratio 2.4800 (1.2180–5.050), p = 0.012). Five-year overall survival was 52 % (95 % CI 40–62), a clean BC history and PTCy correlated with a higher 5-year overall survival (odds ratios 1.9990 (1.0700–3.7350), p = 0.029, and 0.3126 (0.1670–0.5851), p = 0.0002, respectively).Conclusion. Reduced-intensity conditioning is advantageous in patients with long-term CML and several lines of TKI therapy in history. Post-transplant complication relief is associated with PTCy prevention. Relapse instances, however, complicate the outcomes of allo-HSCT with RIC. Post-transplant TKI and DLI facilitate response in 54 % of the patients. Success of allo-HSCT largely depends on the disease phase (CP, AP, BC) at the time of transplantation.
Anemia in primary hyperparathyroidism
Authors: Gorbacheva A. M. , Shklyayev S. S. , Eremkina A. K. , Bratchikova A. A. , Mokrysheva N. G. 
Published: December 2020

Introduction. Anaemia is a complication of primary hyperparathyroidism (PHPT). Pathogenesis of PHPT-induced anaemia involves inhibited erythroid cell proliferation associated with the underlying disease and non-speciﬁc factors (blood loss, chronic kidney disease). However, its speciﬁc mechanisms remain unclear.Aim. Clinical description of a PHPT case with multifactorial complicating anaemia.Main ﬁndings. With putative evidence existing on relationships between PHPT and anaemia, no large clinical trials substantiated suitable algorithms for such patients’ management. The genesis of anaemia reported in this case was multifactorial and not decisively excluding PHPT from putative causes.
Welding deformations of welded joints between 1D Ag nanowire connectors and 3D substrates: a molecular dynamics study
Authors: Luan Shiyi , Zhao Qiang , Gui Chengqun , Zhou Shengjun 
Published: December 2020

Abstract
In order to enrich the understanding of the relationship between 1D and 3D Ag nanomaterials in welding deformation, molecular dynamics simulations were performed to study a common structure of welded joints in Ag nanowire (NW) connectors on Ag substrates. The effects of the overlapping length, welding temperature and NW diameter on welding strength, dislocation and atomic strain were investigated, with the aim of understanding welding deformations of welded joints. With the increase in the overlapping length, welding temperature and NW diameter, the welding strength increases while the increment decreases. Dislocations can be reduced by increasing the overlapping lengths, NW diameters and annealing time. Moreover, the welded joint performance in shear strength could be improved by performing thermal annealing or decreasing NW diameters. The coordination number, residual stress and energy variation have also been analyzed to explain the above phenomenon. This work can provide guidance for the welding of nanomaterials with different dimensions.
PERANCANGAN MODEL UNTUK PERAMALAN TINGKAT PERTUMBUHAN PEMBIAYAAN MELALUI METODE JARINGAN SARAF TIRUAN DI BNI SYARIAH
Authors: Themba Orfyanny S , Mokhtar Susianah 
Published: December 2020

ABSTRAKTren perkembangan pembiayaan di Indonesia mulai meningkat namun cenderung melambat dari tahun ke tahun. Peramalan pertumbuhan pembiayaan pada bank syariah menjadi hal yang menarik karena naik turunnya pembiayaan akan berdampak pada perekonomian Indonesia. Tujuan dari penelitian ini melakukan peramalan pertumbuhan pembiayaan dalam jangka waktu setahun melalui metode Jaringan Saraf Tiruan pada data Bank BNI Syariah dari tahun 2015 sampai dengan 2019. Hasil dari peramalan diharapkan memberi informasi bagi bank untuk menunjang pengambilan keputusan dan menyiapkan strategi meningkatkan pembiayaan sehingga semakin besar laba yang akan diperoleh. Model peramalan dibuat berdasarkan metode peramalan dan ditujukan untuk digunakan pada aplikasi peramalan pembiayaan. Model Jaringan Saraf Tiruan memiliki nilai akurasi peramalan yang tinggi karena memiliki nilai error RMSE, MAPE yang minimum. Dari hasil peramalan menggunakan model Jaringan Saraf Tiruan menunjukkan terjadi peningkatan pembiayaan pada setiap bulannya untuk akad murabahah, mudharabah, musyarakah dan qardh. Hanya pembiayaan yang menggunakan ijarah yang mengalami penurunan drastis dibanding tahun-tahun sebelumnya. Pembiayaan murabahah masih tetap mendominasi dibanding akad mudharabah, musyarakah, qardh dan ijarah selama tahun 2020 Kata Kunci: Jaringan Saraf Tiruan ;PembiayaanABSTRACT Trend of financing development in Indonesia is starting to increase but tends to slow down from year to year. It is interesting to forecast the growth of financing in Islamic banks because the up and down of financing will have an impact on the Indonesian economy. The purpose of this study to forecast financing growth within a year through the Neural Network method on BNI Syariah Bank data from 2015 to 2019. The results of the forecast are expected to provide information for banks to support decision making and prepare strategies to increase financing so that greater profits that will be obtained. The forecasting model is made based on the forecasting method and is intended for use in financing forecasting applications. The Artificial Neural Network Model has a high value of forecasting accuracy because it has a minimum error value of RMSE, MAPE. The results of forecasting using the Artificial Neural Network model show an increase in financing every month for murabahah, mudharabah, musyarakah and qardh contracts. Only financing using ijarah has experienced a drastic decline compared to previous years. Murabahah financing still dominates over the mudharabah, musyarakah, qardh and ijarah contracts during 2020Keyword: Arificial Neural Network ;Financing
Percepção de enfermeiros sobre diagnóstico e acompanhamento de mulheres com depressão pós-parto
Authors: Dos Santos Flavia Karen , Da Silva Samara Cristina , Ariana Silva Marla , Dos Santos Lago Karen , Nunes Andrade Silmara , Consolação dos Santos Regina 
Published: December 2020

Objetivo: Analisar as percepções de enfermeiros sobre diagnóstico e acompanhamento da depressão pós-parto em Divinópolis-MG. Método: Estudo qualitativo, descritivo, realizado no perí­odo de setembro de 2018 através de roteiro semiestruturado e referencial Minayo, com amostra de nove enfermeiros da Estratégia de saúde da famí­lia. Resultados: Os enfermeiros não possuem suporte literário pré-definido para seguir caso deparem com mulheres em depressão pós-parto, sendo essas direcionadas para o psicólogo ou psiquiatra. Nas unidades não existem capacitação para os profissionais relacionados í temática, impactando negativamente nos atendimentos, tornando-o fragmentado. Não há um assessoramento por parte do municí­pio para auxiliar os profissionais de enfermagem a lidarem com essas mulheres. São utilizados mecanismos relacionados a busca ativa na maioria das unidades do estudo. Conclusão: É de suma importância o assessoramento municipal diretamente relacionado a temática, uma vez que contribui para um atendimento integral que vai de acordo com as diretrizes do Sistema Único de Saúde.
THE ROLE OF ENGLISH EDUCATION TOWARDS STUDENT’S MORALS (At State Vocational High Schools 1 Karawang)
Authors: Asep Darojatul Romli  , Asep Jamaludin  , Sihabudin  
Published: December 2020

This research is useful for: a. State School 1 Karawang in knowing how much influence English Education in shaping the morals of students in SMK Negeri 1 Karawang. b. The results of this study can be used as information for educators in applying and knowing what factors are the biggest influence on the moral behavior of students in SMK Negeri 1 Karawang. c. As an evaluation material specifically for schools that carry out the learning process by teachers, and schools can monitor the morals of their students so that they are of good character.

Keywords: English Education, Roles, Morals
Renovasi Ruang Tidur Dan Gudang Di Rumah Tipe Rumah Sangat Sederhana (RSS) Perumnas Minomartani, Ngaglik, Sleman, Daerah Istimewa Yogyakarta
Authors: Wibowo Satrio HB 
Published: December 2020

Rumah Sangat Sederhana (RSS) adalah rumah dengan tipe terkecil dari tipe-tipe perumahan nasional yang ada di Indonesia. Salah satu perumahan nasional (perumnas) dengan tipe RSS adalah berada di perumnas Minomartani, Sleman, Yogyakarta yang dibangun tahun 1980/1981. RSS ini memiliki ukuran bangunan 15 meter persegi dan luas persil 60 meter persegi. Dalam pengembangan rumah tipe RSS umumnya dikerjakan sendiri oleh pemilik tanpa bantuan tenaga profesional. Agar supaya pengembangan maupun renovasi RSS sesuai dengan standar dan aturan yang benar maka bantuan teknis dan konsultasi diberikan dalam wujud pengabdian masyarakat kepada salah satu RSS di Minomartani. Bantuan renovasi dilakukan pada ruang tidur dan gudang terutama pada pemasangan plafon, keramik lantai dan dinding. Bantuan renovasi diberikan dalam rupa disain pola lantai, dinding dan plafon serta bantuan pengawasan pengerjaannya. Selain agar secara standar dan aturan teknis yang benar bantuan pengabdian masyarakat ini juga ditujukan agar renovasi menghasilkan estetika, kebersihan dan kesehatan hunian RSS. Metode yang digunakan dalam renovasi ini adalah metode studi lapangan, pemiilihan bahan bangunan, disain dan teknis. Diharapkan hasil renovasi pengabdian masyarakat iniÂ dapat menjadi contoh bagi RSS lainnya di perumnas Minomartani, Sleman, Yogyakarta.
Family Centeredness in Mental Health: A Concept Analysis
Authors: Panes Iril 
Published: December 2020

Background: Mental illness affects the entire family structure. The family members are the main provider of care that results in caregiving burden. Thus, the care given should encompass the entire family system, termed as family centeredness.
Purpose: This study clarifies the concept of "family centeredness" in mental health to enhance individual and family cares living amid mental illness.
Methods: This research employed Walker and Avant's method of Concept Analysis. Literature was reviewed, and the characteristics that appeared repeatedly were noted and categorized. Data were mapped according to its definition, antecedents, attributes, and consequences.
Results: Three key defining attributes were identified: (a) A mutual, collaborative partnership between the patient, family and health care providers based on knowledge exchange, open communication and cooperation; (b) A supportive, professional relationship/bond/engagement among health care providers, patient and family characterized by empathy, understanding, respect and empowerment; and (c) Individualized care wherein the process is defined by the family is supported, enabling the opportunity to choose, control over decisions and empowerment.
Conclusion: The result of the study clearly defines family centeredness as a health care approach in mental health that acknowledges the patient and family as the experts on themselves, involves families as collaborative partners in all aspects of services and decisions about care through mutually beneficial supportive partnerships with health care providers; to help patients make progress towards recovery.