bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of cardiac allograft vasculopathy on dual source computed tomography in heart transplant recipients: comparison with invasive coronary angiography
Authors: Ojha Vineeta , Ganga Kartik P , Mani Avinash , Jagia Priya , Gulati Gurpreet , Seth Sandeep , Nakra Tripti , Arava Sudheer , Kumar Sanjeev , Ray Ruma , Sharma Sanjiv 
Published: March 2022

Objective:
We aimed to evaluate the diagnostic accuracy (DA) of dual-source CT coronary angiography (DSCTCA) against invasive coronary angiography (ICA) in assessing stenotic cardiac allograft vasculopathy (CAV) in heart transplant (HTX) recipients.

Methods:
Consecutive HTX recipients(n = 38) on annual surveillance, underwent DSCTCA prior to ICA on a 192-detector 384-slice DSCT scanner. Cases were classified as no CAV (no stenosis), any CAV (any degree of stenosis) or significant CAV (&gt;50% stenosis).

Results:
Mean age was 33.66 ± 11.45 years (M:F = 27:11, median time from HTX-23.5 months). Prevalence of any CAV on DSCTCA and ICA was 44.7%(n = 17) and 39.5%(n = 15), respectively and that of significant CAV was 21.1%(n = 8) and 15.8%(n = 6), respectively. 557 (96.7%) segments were interpretable on DSCTCA. Mean radiation dose was 4.24 ± 2.15 mSv. At patient-level, the sensitivity, specificity, positive-predictive value, negative-predictive value (NPV), and DA of DSCTCA for detection of any CAV and significant CAV were 100%, 91.3%, 88.2%, 100%, 94.73% and 100%, 94%, 75%, 100%, 95% respectively. The same on segment-based analysis were 96%, 97.6%, 80%, 99.6%, 97.5% and 100%, 99.6%,86.7%,100%, 99.6%, respectively. There was excellent agreement between the two modalities for detection of any CAV and significant CAV [κ = 0.892 and 0.826 (patient-level), 0.859 and 0.927 (segment-level)]. CAC score correlated significantly with the presence of any CAV on both modalities. A diagnosis of rejection on biopsy did not correlate with any/significant CAV on DSCTCA or ICA.

Conclusion:
High sensitivity and NPV of DSCTCA in the evaluation of stenotic CAV suggests that it can be an accurate and non-invasive alternative to ICA for routine surveillance of HTX recipients.

Advances in knowledge:
DSCTCA detects the stenotic CAV non-invasively in transplant recipients with high sensitivity, specificity and NPV when compared with catheter coronary angiography, at lower radiation doses. There is excellent agreement between CT angiography and catheter coronary angiography for detection of any CAV and significant CAV. A diagnosis of rejection on biopsy does not correlate with any/significant CAV on CT angiography or catheter angiography.
Accuracy of MRI, CT, and Ultrasound imaging on thickness and depth of oral primary carcinomas invasion: a systematic review
Authors: Marcello Scotti Fernanda , Stuepp Rubia Teodoro , Leonardi Dutra-Horstmann Kamile , Modolo Filipe , Gusmão Paraiso Cavalcanti Marcelo 
Published: March 2022

Objectives: The aim of this study was to perform a systematic review to assess the sensitivity, specificity, and accuracy of magnetic resonance imaging (MRI), computed tomography (CT), and intraoral ultrasound (US) to determine the depth of invasion (DOI) and/or tumor thickness (TT) in oral cavity cancers, with histopathological evaluation as the gold standard. Methods: Articles whose primary objective was to evaluate the accuracy (sensitivity and specificity) of MRI, CT, and US imaging to assess DOI and/or TT were searched in six major electronic databases, in addition to three grey literature databases. The methodological quality of the selected studies was evaluated by using the Quality Assessment Tool for Diagnostic Accuracy Studies-2. Results: Twelve studies met the inclusion criteria and underwent qualitative analysis: six studies on MRI, three on US, and one on CT. The accuracy values for MRI ranged from 67 to 83%, with sensitivity values above 80% and specificity above 75%. For US, mean values of sensitivity ranged from 91 to 93%. For CT, accuracy was 75%. Conclusions: For the application of US, CT, MRI, good accuracy was reported in DOI and/or TT, as evaluated in the preoperative period. US offered advantages for detection of small lesions.
Global research on syndemics: a meta-knowledge analysis (2001-2020)
Authors: Hossain Md Mahbub , Saha Nobonita , Rodela Tahmina Tasnim , Tasnim Samia , Nuzhath Tasmiah , Roy Tamal Joyti , Burdine James N. , Ahmed Helal Uddin , McKyer E. Lisako J. , Basu Banga Kamal , Ma Ping 
Published: March 2022

Background: Syndemics or synergies of cooccurring epidemics are widely studied across health and social sciences in recent years. Methods: We conducted a meta-knowledge analysis of articles published between 2001 to 2020 in this growing field of academic scholarship. Results: We found a total of 830 articles authored by 3025 authors, mostly from high-income countries. Publications on syndemics are gradually increasing since 2003, with rapid development in 2013. Each article was cited more than 15 times on average, and most (n = 604) articles were original studies. Syndemics research focused on several areas, including HIV/AIDS, substance abuse, mental health, gender minority stressors, racism, violence, chronic physical and mental disorders, food insecurity, social determinants of health, and coronavirus disease 2019. Moreover, biopsychosocial interactions between multiple health problems were studied across medical, anthropological, public health, and other disciplines of science. Conclusions: The limited yet rapidly evolving literature on syndemics informs transdisciplinary interests to understand complex coexisting health challenges in the context of systematic exclusion and structural violence in vulnerable populations. The findings also suggest applications of syndemic theory to evaluate clinical and public health problems, examine the socioecological dynamics of factors influencing health and wellbeing, and use the insights to alleviate health inequities in the intersections of synergistic epidemics and persistent contextual challenges for population health.
Efficient Stochastic Programming in Julia
Authors: Biel Martin , Johansson Mikael 
Published: March 2022

We present StochasticPrograms.jl, a user-friendly and powerful open-source framework for stochastic programming written in the Julia language. The framework includes both modeling tools and structure-exploiting optimization algorithms. Stochastic programming models can be efficiently formulated using an expressive syntax, and models can be instantiated, inspected, and analyzed interactively. The framework scales seamlessly to distributed environments. Small instances of a model can be run locally to ensure correctness, whereas larger instances are automatically distributed in a memory-efficient way onto supercomputers or clouds and solved using parallel optimization algorithms. These structure-exploiting solvers are based on variations of the classical L-shaped, progressive-hedging, and quasi-gradient algorithms. We provide a concise mathematical background for the various tools and constructs available in the framework along with code listings exemplifying their usage. Both software innovations related to the implementation of the framework and algorithmic innovations related to the structured solvers are highlighted. We conclude by demonstrating strong scaling properties of the distributed algorithms on numerical benchmarks in a multinode setup. Summary of Contribution: This paper presents StochasticPrograms.jl, an open-source framework for stochastic programming implemented in the Julia programming language. The framework includes an expressive syntax for formulating stochastic programming models as well as versatile analysis tools and parallel optimization algorithms. The framework will prove useful to researchers, educators, and industrial users alike. Researchers will benefit from the readily extensible open-source framework, in which they can formulate complex stochastic models or quickly typeset and test novel optimization algorithms. Educators of stochastic programming will benefit from the clean and expressive syntax. Moreover, the framework supports analysis tools and stochastic programming constructs from classical theory and leading textbooks. We strongly believe that the StochasticPrograms.jl framework can reduce the barrier to entry for incoming practitioners of stochastic programming. Industrial practitioners can make use of StochasticPrograms.jl to rapidly formulate complex models, analyze small instances locally, and then run large-scale instances in production. In doing so, they get distributed capabilities for free without changing the code and access to well-tested state-of-the-art implementations of parallel structure-exploiting solvers. As the framework is open-source, anyone from these target audiences can contribute with new functionality to the framework. In conclusion, by providing both an intuitive interface for new users and an extensive development environment for expert users, StochasticPrograms.jl has strong potential to further the field of stochastic programming.
Free flap breast reconstruction in the UK: are we meeting demand?
Authors: Begaj A , Marlborough F , Allison KP 
Published: March 2022

INTRODUCTION The demand for free flap breast reconstruction appears to be increasing. The aim of this study was to evaluate the capacity for microsurgical breast reconstruction across the UK and compare this with the apparent demand to inform future workforce planning. METHODS A questionnaire was sent to all 56 plastic surgery units in the UK to establish whether they performed reconstructive breast surgery, the number of free flaps they performed each year and what issues they were encountering in meeting the demand. The unit response rate was 93%. RESULTS Current workforce planning figures show that there are 161 consultant plastic surgeons who perform free tissue breast reconstruction. Across the UK, the total number of extra breast reconstructive surgeons felt to be needed was 78. The mean number of free flaps performed per surgeon each year was 20. Respondents suggested that they felt that 20 free flaps was a suitable number to maintain their skills. Two-thirds (66%) of the respondents reported issues impairing delivery of their free flap service with access to theatre (41%) and inability to meet the demand (18%) as the two key reasons. CONCLUSIONS Our results show that there is a demand for microsurgical breast reconstruction that is not being fully met. It is hoped that this survey will add to the evidence base that plastic surgeons remain an integral part of the care of many breast cancer patients and that it will encourage trainees to consider breast microsurgery as their subspecialty of choice.
Mask configurable readout circuit architecture for an ultra-high-resolution CMOS image sensor
Authors: Nie Kaiming , Liu Jingheng , Wang Dejian , Xu Jiangtao , Yang Zhengxu , Gao Zhiyuan 
Published: March 2022

As the level of detail in today’s images increases, so does the demand
for resolution. Due to the necessity of mask stitching technology for
full exposure of large array chips, we propose a mask configurable
readout circuit architecture, which is suitable for large array
structures. However, the stitchable readout circuit architecture has
some non-ideal effects: row driver function failure and the column
non-consistency problem. In our design, we solve the problem of column
non-consistency after stitching. At the same time, we changed the
signal transmission structure in order to avoid the row driver
function failure caused by the mask stitching. In this paper, a
prototype

2130
×
2130

CMOS image sensor is fabricated in
0.11 µm CMOS technology. The chip can capture images at 20 fps and
reduce fixed pattern noise (FPN) from 3.5% to 1.5% through correction
techniques. The architecture proposed in this paper is suitable for
large array image sensors.
Nurturing compassion in schools: A randomized controlled trial of the effectiveness of a Compassionate Mind Training program for teachers
Authors: Matos Marcela , Albuquerque Isabel , Galhardo Ana , Cunha Marina , Pedroso Lima Margarida , Palmeira Lara , Petrocchi Nicola , McEwan Kirsten , Maratos Frances A. , Gilbert Paul 
Published: March 2022

ObjectivesSchools are experiencing an unprecedented mental health crisis, with teachers reporting high levels of stress and burnout, which has adverse consequences to their mental and physical health. Addressing mental and physical health problems and promoting wellbeing in educational settings is thus a global priority. This study investigated the feasibility and effectiveness of an 8-week Compassionate Mind Training program for Teachers (CMT-T) on indicators of psychological and physiological wellbeing.MethodsA pragmatic randomized controlled study with a stepped-wedge design was conducted in a sample of 155 public school teachers, who were randomized to CMT-T (n= 80) or a waitlist control group (WLC;n= 75). Participants completed self-report measures of psychological distress, burnout, overall and professional wellbeing, compassion and self-criticism at baseline, post-intervention, and 3-months follow-up. In a sub-sample (CMT-T,n= 51; WLCn= 36) resting heart-rate variability (HRV) was measured at baseline and post-intervention.ResultsCMT-T was feasible and effective. Compared to the WLC, the CMT-T group showed improvements in self-compassion, compassion to others, positive affect, and HRV as well as reductions in fears of compassion, anxiety and depression. WLC participants who received CMT-T revealed additional improvements in compassion for others and from others, and satisfaction with professional life, along with decreases in burnout and stress. Teachers scoring higher in self-criticism at baseline revealed greater improvements post CMT-T. At 3-month follow-up improvements were retained.ConclusionsCMT-T shows promise as a compassion-focused intervention for enhancing compassion, wellbeing and reducing psychophysiological distress in teachers, contributing to nurturing compassionate, prosocial and resilient educational environments. Given its favourable and sustainable effects on wellbeing and psychophysiological distress, and low cost to deliver, broader implementation and dissemination of CMT-T is encouraged.
Sedação Consciente com Midazolam via oral como recurso coadjuvante no atendimento odontológico de crianças não cooperativas: Uma Revisão Integrativa da Literatura / Oral Midazolam Conscious Sedation as a supporting resource for providing dental care to uncooperative children: An Integrative Literature Review
Authors: Costa Soraia Silva , Mania Taiomara Vieira 
Published: March 2022

Resumo: Esta pesquisa buscou revisar a literatura acerca da sedação consciente utilizando midazolam via oral como coadjuvante no tratamento odontológico de crianças não cooperativas. A partir da pergunta norteadora: “O midazolam via oral é uma droga eficaz para a sedação consciente no atendimento odontológico de crianças não cooperativas?”, foi realizada a busca nas bases de dados PubMed e Cochrane Library, seguindo estratégia de combinação de palavras-chave, filtrando artigos do tipo ensaio clínico, em inglês. Seis artigos preencheram os critérios de elegibilidade. As pesquisas analisaram 403 crianças, com faixa etária entre 2 e 10 anos. Percebeu-se substancial heterogeneidade quanto ao uso da droga, sendo a dosagem de 0,5 mg/kg de peso corporal via oral mais frequentemente utilizada. Houve divergência quanto a forma de avaliação do efeito da droga sedativa. Conclui-se que apesar das divergências (relacionadas à via de administração, dosagens e associações medicamentosas), a sedação consciente com midazolam via oral na dosagem 0,5 mg/kg de peso corporal parece ser eficaz como recurso coadjuvante no atendimento odontológico de crianças não cooperativas. Abstract: This research aimed to review the literature on oral midazolam conscious sedation as an adjunct in dental treatment of non-cooperative children. Based on the guiding question: “Is oral midazolam an effective drug for conscious sedation in dental care of non-cooperative children?” it was performed in search of PubMed and Cochrane Library databases, following a strategy of combination of keywords, filtering clinical trial articles in English. Six articles met the eligibility criteria. The surveys analyzed 403 children, aged between 2 and 10 years. Substantial heterogeneity was noticed regarding the drug’s, and the oral dosage 0.5 mg/kg of body weight was the most used. There was divergence regarding the way of evaluating the effect of the sedative drug. It is concluded that, despite the differences (related to the route of administration, dosages and drug associations), conscious sedation with oral midazolam using a dosage of 0.5 mg / kg of body weight seems to be effective as a supporting resource in dental care of non-cooperative children.
Dualidades de Gêneros no Perfil de Construção do Pedagogo(a) / Gender Dualities in the Pedagogue's Construction Profile
Authors: Purificação Marcelo Máximo 
Published: March 2022

Resumo: Este ensaio emerge de parte das leituras e discussões realizadas na disciplina “Temas Contemporâneos em Educação”, desenvolvidas no âmbito do Programa de Pós-Graduação em Educação em nível doutoramento, da Universidade Luterana do Brasil – ULBRA. Tem por objetivo refletir sobre as perspectivas de gênero para entender a opção de carreira docente para os anos iniciais. Para isso, chama-se para o diálogo os seguintes marcadores sociais: Educação, Políticas Educacionais, Gênero, Sexualidade, Identidade e Formação de Professores. É um texto cunhado na metodologia bibliográfica.Palavras-chave: Relações de Gênero; Políticas Educacionais; Docência. Abstract: This essay emerges from part of the readings and discussions carried out in the discipline “Contemporary Themes in Education”, developed within the scope of the Graduate Program in Education at the doctoral level, at the Lutheran University of Brazil – ULBRA. It aims to reflect on gender perspectives to understand the teaching career option for the early years. For this, the following social markers are called for dialogue: Education, Educational Policies, Gender, Sexuality, Identity and Teacher Training. It is a study coined in the bibliographic methodology.Keywords: Gender Relations; Educational Policies; teaching.
Pengaruh Riwayat Komorbid Dan Pengetahuan Tentang Penyakit COVID-19 Terhadap Praktik 5M Pada Masyarakat Madiun Tahun 2020
Authors: Kartini Puri Ratna , Suproborini Arum , Putri Yovita Aprilia 
Published: March 2022

Background: COVID-19 has become a health problem in the world, including in Indonesia. The high number of COVID-19 transmissions in Indonesia shows the need for massive prevention efforts. In addition to vaccination, the 5M health protocol is an effective way to reduce the number of COVID-19 transmissions. The implementation of the 5M program is influenced by several factors, including knowledge about COVID-19 and history of comorbidities.Methods: This study is an observational-analytic study that aims to analyze the influence of comorbid history during last 3 months and knowledge aobut COVID-19 disease on 5M practice in the Madiun community. 5M practices in this research include wearing masks, washing hands, maintaining distance, avoiding crowds and maintaining immunity. The research design used in this study was cross sectional with the sampling technique used was purposive sampling. Data was obtained by distributing online questionnaires to people living in the Madiun area. The population in this study is the people of Madiun, and the sample in this study is the people of Madiun who voluntarily fill out online questionnaire. The study was carried out for 7 months, starting from June to December 2020.Result: From the results of the Chi square test, it was concluded that the comorbid history and the knowledge about COVID-19 have an effect on 5M practice (comorbid history p = 0.001 and knowledge about COVID-19 p = 0.000).Conclusion : The results of this study are expected to be an input for the government in determining policies to prevent COVID-19, especially in the Madiun area.
INDIKATOR KETIMPANGAN DALAM PEMBANGUNAN DAN PENYEBARAN PANDEMI COVID-19: STUDI KASUS KOTA DAN KABUPATEN DI PROVINSI JAWA BARAT DAN BANTEN
Authors: Rahayu Paramita , Rini Erma Fitria , Andini Isti , Putri Rufia Andisetyana 
Published: March 2022

Banyak penelitian telah dilakukan untuk menyelidiki penyebaran pandemi COVID-19. Salah satu fokusnya adalah pengaruh indikator pembangunan pada skala kewilayahan, terhadap jumlah terkonfirmasi COVID-19 maupun tingkat mortalitas. Studi sebelumnya sejauh ini banyak dilakukan di Eropa dan Amerika Serikat, dengan hasil yang bervariasi. Sebagai contoh, masyarakat dengan tingkat sosial ekonomi yang tinggi memiliki jumlah kasus terkonfirmasi yang lebih besar, ataupun sebaliknya. Sehubungan dengan variasi hasil penelitian sebelumnya dan kurangnya penelitian serupa untuk konteks Indonesia, penelitian ini diharapkan dapat berkontribusi untuk mengungkapkan kondisi empiris hubungan indikator pembangunan pada konteks Indonesia, dengan jumlah terkonfirmasi COVID-19. Studi kasus yang digunakan adalah kota dan kabupaten di Provinsi Jawa Barat dan Provinsi Banten. Penelitian ini menggunakan metode kuantitatif dengan statistik deskriptif yang dikombinasikan dengan regresi berganda sebagai teknik analisis. Regresi berganda dilakukan dengan menggunakan jumlah kasus terkonfirmasi COVID-19 di setiap kota dan kabupaten (y) terhadap dua puluh variabel yang merupakan indikator pembangunan wilayah, yang terkait dengan urbanisasi, struktur demografi, pembangunan dari aspek ekonomi, spasial, dan aspek pembangunan manusia (x). Hasil penelitian menunjukkan bahwa terdapat ketimpangan pembangunan antar kota dan kabupaten di Provinsi Jawa Barat dan Banten. Secara umum, kota berada pada tingkat pembangunan yang lebih baik. Selanjutnya, jumlah penduduk usia lanjut dan garis kemiskinan wilayah merupakan dua variabel yang berpengaruh pada jumlah kasus terkonfirmasi COVID-19 di kota dan kabupaten dalam wilayah administrasi Provinsi Jawa Barat dan Banten.
Incidence moments: a simple method to study the memory and short term forecast of the COVID-19 incidence time-series
Authors: Canals L Mauricio , Canals C Andrea , Cuadrado N Cristóbal 
Published: March 2022

Abstract

Objectives
The ability to predict COVID-19 dynamic has been very low, reflected in unexpected changes in the number of cases in different settings. Here the objective was to study the temporal memory of the reported daily incidence time series and propose a simple model for short-term forecast of the incidence.

Methods
We propose a new concept called incidence moments that allows exploring the memory of the reported incidence time series, based on successive products of the incidence and the reproductive number that allow a short term forecast of the future incidence. We studied the correlation between the predictions of and the reported incidence determining the best predictor. We compared the predictions and observed COVID-19 incidences with the mean arctangent absolute percentage error (MAAPE) analyses for the world, 43 countries and for Chile and its regions.

Results
The best predictor was the third moment of incidence, determining a short temporal prediction window of 15 days. After 15 days the absolute percentage error of the prediction increases significantly. The method perform better for larger populations and presents distortions in contexts of abrupt changes in incidence.

Conclusions
The epidemic dynamics of COVID 19 had a very short prediction window, probably associated with an intrinsic chaotic behavior of its dynamics. The incident moment modeling approach could be useful as a tool whose simplicity is appealing, since it allows rapid implementation in different settings, even with limited epidemiological technical capabilities and without requiring a large amount of computational data.