bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of trip card data analysis system under big data
Authors: Sun Manman , Gui Jie 
Published: July 2023

Abstract
Digital technologies such as the Internet, big data, cloud computing, mobile communication, and artificial intelligence have played an important role in the prevention and control of this new crown epidemic. Driven by big data technology, collaborative governance in the digital era has injected new dynamics for collaborative governance in the general sense, especially in this new crown epidemic prevention and control shows a different governance logic from the past, and the refinement and extraction of this governance logic is the key to enhance the ability of new crown epidemic prevention and control. Compared with the previous model in which a single governmental governance body played a role. In this paper, the necessity of building a big data analysis system is clarified by analyzing the limitations of the data analysis means of the existing trip code system. The overall epidemic prevention advantage of adopting the big data trip code policy has increased by 51.95% for regions with high crisis risk level and strong economic power, such as Guangdong, Zhejiang and Shanghai, which need to face the risk spread from domestic and imported risks under the big data trip code control, the increase of new cases compared to the previous comparison has decreased by 68.5%, which can visually see the big data trip code epidemic prevention We can visually see the effectiveness of big data trip codes in preventing the epidemic and making excellent contributions to the global fight against the epidemic.
The ontogeny-specific thermal sensitivity of the seagrass Posidonia oceanica
Authors: Rinaldi Alessandro , Martinez Marco , Badalamenti Fabio , D’Anna Giovanni , Mirto Simone , Marín-Guirao Lazaro , Procaccini Gabriele , Montalto Valeria 
Published: July 2023

IntroductionThe rapid increase in sea-water temperatures and frequency of extreme thermal events have amplified the risk of functional extinction of Mediterranean species such as the endemic long-lived seagrass Posidonia oceanica. Because of the valuable ecological functions and ecosystem services the species provides, understanding the life-stage specific thermal vulnerability is crucial to accurately predict the consequences of current and future global climate change and to protect and conserve existing meadows.MethodsTo this end, here we report a study on the ontogeny-specific thermal sensitivity of important physiological functions (i.e. respiration and net production) of three different early life history stages of P. oceanica, namely seed, seedling (4-month-old individuals) and 16-month-old plantlet by measuring thermal performance curves (eleven temperatures treatments between 15-36°C with n=8).ResultsAll three stages examined showed photosynthetic activity during light exposure with similar optimal temperatures for both net and gross production. Gross photosynthesis increased with rising temperature up to 28-30°C, subsequently declining at higher temperatures until complete inhibition at 36°C. The metabolic response of seeds was found to be temperature-dependent up to 26°C, while respiration of seedlings and plantlets was almost stable up to 28-30°C, but increased markedly at higher temperatures, resulting in a negative whole-plant C balance at temperatures above 32°C. Overall, our results show that seedlings and plantlets tolerate a wider temperature range (15 - 32°C) than seeds, which experience metabolic and physiological dysfunction from 26-28°C onwards.DiscussionThese findings suggest that the impact of warming on recruitment in P. oceanica meadows may vary depending on the timing of marine heatwaves (i.e. mid-spring to mid-autumn) and provide useful knowledge to inform restoration programs using early life stages of the species. In conclusion, the study of physiological responses during the early life stages of species is key to identify life history stages that are particularly vulnerable to climate change, which is vital knowledge for ecosystem management and conservation.
Two-step hierarchical neural network for classification of dry age-related macular degeneration using optical coherence tomography images
Authors: Hu Min , Wu Bin , Lu Di , Xie Jing , Chen Yiqiang , Yang Zhikuan , Dai Weiwei 
Published: July 2023

PurposeThe aim of this study is to apply deep learning techniques for the development and validation of a system that categorizes various phases of dry age-related macular degeneration (AMD), including nascent geographic atrophy (nGA), through the analysis of optical coherence tomography (OCT) images.MethodsA total of 3,401 OCT macular images obtained from 338 patients admitted to Shenyang Aier Eye Hospital in 2019–2021 were collected for the development of the classification model. We adopted a convolutional neural network (CNN) model and introduced hierarchical structure along with image enhancement techniques to train a two-step CNN model to detect and classify normal and three phases of dry AMD: atrophy-associated drusen regression, nGA, and geographic atrophy (GA). Five-fold cross-validation was used to evaluate the performance of the multi-label classification model.ResultsExperimental results obtained from five-fold cross-validation with different dry AMD classification models show that the proposed two-step hierarchical model with image enhancement achieves the best classification performance, with a f1-score of 91.32% and a kappa coefficients of 96.09% compared to the state-of-the-art models. The results obtained from the ablation study demonstrate that the proposed method not only improves accuracy across all categories in comparison to a traditional flat CNN model, but also substantially enhances the classification performance of nGA, with an improvement from 66.79 to 81.65%.ConclusionThis study introduces a novel two-step hierarchical deep learning approach in categorizing dry AMD progression phases, and demonstrates its efficacy. The high classification performance suggests its potential for guiding individualized treatment plans for patients with macular degeneration.
Brain morphometric features predict depression symptom phenotypes in late-life depression using a deep learning model
Authors: Cao Bing , Yang Erkun , Wang Lihong , Mo Zhanhao , Steffens David C. , Zhang Han , Liu Mingxia , Potter Guy G. 
Published: July 2023

ObjectivesOur objective was to use deep learning models to identify underlying brain regions associated with depression symptom phenotypes in late-life depression (LLD).ParticipantsDiagnosed with LLD (N = 116) and enrolled in a prospective treatment study.DesignCross-sectional.MeasurementsStructural magnetic resonance imaging (sMRI) was used to predict five depression symptom phenotypes from the Hamilton and MADRS depression scales previously derived from factor analysis: (1) Anhedonia, (2) Suicidality, (3) Appetite, (4) Sleep Disturbance, and (5) Anxiety. Our deep learning model was deployed to predict each factor score via learning deep feature representations from 3D sMRI patches in 34 a priori regions-of-interests (ROIs). ROI-level prediction accuracy was used to identify the most discriminative brain regions associated with prediction of factor scores representing each of the five symptom phenotypes.ResultsFactor-level results found significant predictive models for Anxiety and Suicidality factors. ROI-level results suggest the most LLD-associated discriminative regions in predicting all five symptom factors were located in the anterior cingulate and orbital frontal cortex.ConclusionsWe validated the effectiveness of using deep learning approaches on sMRI for predicting depression symptom phenotypes in LLD. We were able to identify deep embedded local morphological differences in symptom phenotypes in the brains of those with LLD, which is promising for symptom-targeted treatment of LLD. Future research with machine learning models integrating multimodal imaging and clinical data can provide additional discriminative information.
Prophylactic use of levosimendan in preoperative setting for surgical repair of congenital heart disease in children
Authors: Wannaz L. , Boillat L. , Perez M. H. , Di Bernardo S. 
Published: July 2023

IntroductionLow cardiac output syndrome (LCOS) is a significant cause of morbidity and the leading cause of mortality after pediatric cardiac surgery. Levosimendan has been shown safe and effective in pediatrics to treat LCOS. We aimed to review our local strategy with preoperative prophylactic Levosimendan infusion to minimize LCOS after heart surgery in identified high-risk patients.MethodsRetrospective monocentric study. As there is no reliable cardiac output measurement in children, we recorded hemodynamic parameters as surrogates of cardiac output after extracorporeal circulation through an electronic patient survey system at different time points.ResultsSeventy-two children received Levosimendan before surgery between 2010 and 2019. As expected, most patients were newborns and infants with prolonged open-heart surgeries. Median cardiopulmonary bypass time was 182 [137–234] min, and aortic clamping time was 95 [64–126] min. The postoperative hemodynamic parameters, vasoactive-inotropic score, and urine output remained stable throughout the first 48 h. Only a tiny portion of the patients had combined surrogate markers of LCOS with a maximal median arterial lactate of 2.6 [1.9–3.5] mmol/L during the first six postoperative hours, which then progressively normalized. The median arterio-venous difference in oxygen saturation was 31 [23–38] % between 12 and 18 h post-surgery and gradually decreased. The median venous-to-arterial CO2 difference was the highest at 10 [7–12] mmHg between 12 and 18 h post-surgery. Nine patients (13%) required extracorporeal membrane oxygenation. No patient required dialysis or hemofiltration. Mortality was 0%.ConclusionBefore congenital heart surgery, preoperative prophylactic administration of Levosimendan seems effective and safe for decreasing occurrence and duration of LCOS in high-risk children.
The end-of-life needs of Aboriginal and immigrant communities: a challenge to conventional medical models
Authors: Leonard Rosemary , Paton Joy , Hinton Peta , Greenaway Sally , Thomson Jody 
Published: July 2023

IntroductionConcerns have been raised internationally about the palliative care needs of migrants and First Nations people. This article presents insights from research investigating the end-of-life needs of Aboriginal and culturally and linguistically diverse people living in Western Sydney, Australia. This region has a large rapidly growing, and highly diverse population and on average low socioeconomic status. The research was guided by an advisory panel made up of representatives of supportive and palliative medicine, bereavement support, Aboriginal health, and multicultural health facilities. It aimed to generate findings to support the delivery of culturally sensitive services in the public health system.MethodThe multi-method design and the conduct of the research were informed by the literature on researching with marginalized groups which highlights the ethical considerations needed to avoid replicating past injustices. Qualitative data was generated from key informants and community focus groups.ResultsThe analysis revealed seven themes and some suggested solutions which were relevant across several themes. The seven themes were: the Need for trusted relationships; Talking about death and dying; Knowledge of key services; Decision-making and obtaining consent from the patient; Appropriate physical spaces; Cultural practices around EOL; and Language barriers.DiscussionWithin each theme a variety of cultural beliefs and practices were revealed that conflicted with mainstream medical systems, indicating the need for changes in such systems. ‘Compassionate Communities' was identified as a model to support the necessary changes.
Community indicators for mental health in Europe: a scoping review
Authors: Schoenweger Petra , Kirschneck Michaela , Biersack Katharina , Di Meo Anna-Francesca , Reindl-Spanner Philipp , Prommegger Barbara , Ditzen-Janotta Claudia , Henningsen Peter , Krcmar Helmut , Gensichen Jochen , Jung-Sievers Caroline ,   for the POKAL-Group
Published: July 2023

BackgroundCommunity indicators may predict and influence individuals` mental health, and support or impede mental health management. However, there is no consensus on which indicators should be included in predictions, prognostic algorithms, or management strategies for community-based mental health promotion and prevention approaches. Therefore, this scoping review provides an overview of relevant community-level indicators for mental health in the general as well as risk populations in a European context.MethodsWe conducted a scoping review in the following electronic databases: PubMed, Embase, and PsycInfo. Eligible studies focused on context factors such as either the physical or social environment, reporting at least one mental health outcome and referring to a European population. Publications between 2012 and March 8, 2022 are considered.ResultsIn total, the search yielded 12,200 identified records. After the removal of duplicates, 10,059 records were screened against the eligibility criteria. In total, 169 studies were included in the final analysis. Out of these included studies, 6% focused on pan-European datasets and 94% on a specific European country. Populations were either general or high-risk populations (56 vs. 44%, respectively) with depressive disorder as the main reported outcome (49%), followed by general mental health (33%) and anxiety (23%). Study designs were cross-sectional studies (59%), longitudinal (27%), and others (14%). The final set of indicators consisted of 53 indicators, which were grouped conceptually into 13 superordinate categories of community indicators. These were divided into the domains of the physical and social environment. The most commonly measured and reported categories of community indicators associated with mental health outcomes were social networks (n = 87), attitudinal factors toward vulnerable groups (n = 76), and the characteristics of the built environment (n = 56).ConclusionThis review provides an evidence base of existing and novel community-level indicators that are associated with mental health. Community factors related to the physical and social environment should be routinely recorded and considered as influencing factors or potentially underestimated confounders. The relevance should be analyzed and included in clinical outcomes, data, monitoring and surveillance as they may reveal new trends and targets for public mental health interventions.
Bacteriophages for the Targeted Control of Foodborne Pathogens
Authors: Bumunang Emmanuel W. , Zaheer Rahat , Niu Dongyan , Narvaez-Bravo Claudia , Alexander Trevor , McAllister Tim A. , Stanford Kim 
Published: July 2023

Foodborne illness is exacerbated by novel and emerging pathotypes, persistent contamination, antimicrobial resistance, an ever-changing environment, and the complexity of food production systems. Sporadic and outbreak events of common foodborne pathogens like Shiga toxigenic E. coli (STEC), Salmonella, Campylobacter, and Listeria monocytogenes are increasingly identified. Methods of controlling human infections linked with food products are essential to improve food safety and public health and to avoid economic losses associated with contaminated food product recalls and litigations. Bacteriophages (phages) are an attractive additional weapon in the ongoing search for preventative measures to improve food safety and public health. However, like all other antimicrobial interventions that are being employed in food production systems, phages are not a panacea to all food safety challenges. Therefore, while phage-based biocontrol can be promising in combating foodborne pathogens, their antibacterial spectrum is generally narrower than most antibiotics. The emergence of phage-insensitive single-cell variants and the formulation of effective cocktails are some of the challenges faced by phage-based biocontrol methods. This review examines phage-based applications at critical control points in food production systems with an emphasis on when and where they can be successfully applied at production and processing levels. Shortcomings associated with phage-based control measures are outlined together with strategies that can be applied to improve phage utility for current and future applications in food safety.
Duração do desemprego no Brasil metropolitano: uma análise através de regressão quantílica censurada
Authors: Campêlo Ana Katarina 
Published: July 2023

Conforme enfatizado por Chaudhuri, Doksum e Samarov (1997), o vetor de regressão quantílica é “um conceito unificador que representa os vetores de coeficientes nos modelos linear, de Cox, de razões proporcionais, de tempo de falha acelerado e assim por diante”. Ademais, considerar-se-á as vantagens até o presente da técnica de regressão quantílica através da estimação destes modelos para fins comparativos com o efeito quantílico de tratamento derivado do modelo de riscos proporcionais de Cox. Estas modelagens são ilustradas numa primeira instância neste trabalho através de aplicação empírica a dados de duração de desemprego no Brasil, fornecendo evidências atuais e no âmbito nacional e possibilitando um estudo mais detalhado e amplo da relação entre as variáveis do modelo, na medida em que esta abordagem permite que as covariáveis impactem de forma bastante flexível no que se refere não só a locação, mas a escala e forma da distribuição condicional. Os resultados econométricos revelam que o fator idade é irrelevante para a duração do desemprego, enquanto que esta é menor em todos os quantis para pessoas que já trabalharam antes, bem como para os indivíduos que possuem qualquer diploma, destacadamente aqueles que têm pós-graduação. Esta última conclusão difere de trabalhos anteriores, que sugerem um efeito médio positivo para anos de educação. Além disso, o tempo na situação de desemprego tende a ser maior em todos os setores de atividades considerados, relativamente a outros de menor representatividade no mercado de trabalho e serviços domésticos. Em adição, outro resultado interessante é o fato de a duração tender a ser mais curta para os indivíduos que residem nas regiões metropolitanas de Recife, Belo Horizonte e Porto Alegre, em comparação com aqueles que moram em Salvador, Rio de Janeiro e São Paulo. Finalmente, é também digno de nota que as estimativas dos efeitos do indicador de chefe de família e de outras dummies relativas ao emprego anterior, como as que indicam se a pessoa foi demitida ou trabalhava no setor formal, além de anos de experiência, são estatisticamente não significativos ao longo de todos os quantis da distribuição condicional da duração do desemprego, de forma distinta ao encontrado em estudos prévios.
A prática da atividade física no presídio: o que pensam os apenados?
Authors: Moraes Adílio Moreira , Moraes Berla Moreira de , Ramos Vanessa Mesquita 
Published: July 2023

Trata-se de uma pesquisa exploratório descritiva, com abordagem qualitativa, realizada na Penitenciária Industrial Regional, na cidade de Sobral – Ceará, em que se objetivou identificar o que os apenados pensam sobre a prática da atividade física em sistema penitenciário de segurança máxima. Utilizou-se a entrevista semiestruturada para a coleta das informações. Como participantes da pesquisa, incluíram-se 20 internos que cumpriam pena na referida penitenciária. Na análise do material empírico, utilizou-se a técnica de categorização dos discursos. Os achados da pesquisa apontaram para as categorias: atividade física no presídio, conhecimento sobre regras e fundamentos das modalidades esportivas, comportamento durante a prática de uma atividade física regular e comportamento social dentro do presídio. Os resultados evidenciaram que a prática da atividade física e o esporte são vistos pelos presos como um benefício durante o cumprimento da pena, mas percebe-se que o desconhecimento das regras e fundamentos dos esportes os coloca em desvantagem, podendo repercutir no comportamento inadequado deles durante a prática do desporto. Espera-se que esta pesquisa possa contribuir de maneira efetiva para que eles consigam conciliar e se adequar às regras e normas vigentes após o cumprimento da pena.
PARENTING STRESS DENGAN VERBAL ABUSE ORANGTUA PADA SISWA KELAS VIII SMPN 3 CIBINONG
Authors: Rina Afrina  , Emi Yuliza  
Published: July 2023

Peningkatan kekerasan khususnya pada anak di tahun 2020 mengakibatkan peningkatan jumlah angka kematian anak dari usia 0 – 17 tahun. Bentuk kekerasan yang paling sering terjadi adalah verbal abuse atau kekerasan dalam bentuk verbal (ucapan/perkataan) kepada individu. Salah satu pelaku kekerasan fisik pada anak adalah orang tua ataupun pengasuh. Salah satu factor penyebab terjadinya verbal abuse adalah parenting stress. Penelitian ini bertujuan untuk mengetahui Hubungan Parenting Stress dengan Verbal Abuse Orangtua pada Siswa Kelas VIII SMPN 3 Cibinong.Penelitian ini menggunakan jenis penelitian kuantitatif dengan jenis penelitian deskripsi korelatif dan dengan desain penelitian menggunakan cross sectional. Jumlah populasi dalam penelitian ini sebany ak 471 siswa kelas
VIII. Perhitungan sampel menggunakan rumus slovin dan teknik pemilihan sampel menggunakan Purposive Sampling sehingga didapatkan sampel sebanyak 213 siswa/i. Analisis bivariat mengunakan uji korelasi Pearson Chi Square. Instrument dalam mengukur Verbal Abuse orangtua adalah kuesioner Korean Version Verbal Abuse Questionnaire (K-VAQ) yang dibuat menjadi 15 pernyataan dalam skala likert dan Parenting Stress dengan 18 item pernyataan dengan skala likert . Hasil penelitian didapatkan bahwa sebanyak 198 siswa mengatakan orangtua berada dalam parenting stress sedang dan sebanyak 189 siswa mengatakan bahwa verbal abuse yang dilakukan orangtua dalam kategori rendah. Dari hasil uji pearson chi square didapatkan adanya hubungan antara parenting s tress dengan verbal abuse orangtua, dengan nilai p< 0,05 (p=0,000). Pencegahan dini verbal abuse orangtua dan penurunan parenting stress dapat dilakukan dengan memberikan edukasi parenting oleh pihak sekolah
The dorsal root ganglion as a target for neurorestoration in neuropathic pain
Authors: Estivill-Torrús Guillermo , Martínez-Padilla Ana Belen , Sánchez-Salido Lourdes , Evercooren Anne Baron-Van , García-Díaz Beatriz 
Published: July 2023

Abstract
Neuropathic pain is a severe and chronic condition widely found in the general population. The reason for this is the extensive variety of damage or diseases that can spark this unpleasant constant feeling in patients. During the processing of pain, the dorsal root ganglia constitute an important region where dorsal root ganglion neurons play a crucial role in the transmission and propagation of sensory electrical stimulation. Furthermore, the dorsal root ganglia have recently exhibited a regenerative capacity that should not be neglected in the understanding of the development and resolution of neuropathic pain and in the elucidation of innovative therapies. Here, we will review the complex interplay between cells (satellite glial cells and inflammatory cells) and factors (cytokines, neurotrophic factors and genetic factors) that takes place within the dorsal root ganglia and accounts for the generation of the aberrant excitation of primary sensory neurons occurring in neuropathic pain. More importantly, we will summarize an updated view of the current pharmacologic and nonpharmacologic therapies targeting the dorsal root ganglia for the treatment of neuropathic pain.