bluuebunny/crossref_metadata_2025_split huggingface dataset:
EDUCAÇÃO FÍSICA ESCOLAR EM TEMPOS DE PANDEMIA DE COVID-19:
Authors: CARVALHO UALISSON CLEITON DE ARAÚJO , Fernandes Leal Fabiana Soares 
Published: March 2024

O presente estudo visou conhecer, por meio de uma revisão sistemática de literatura, o que foi publicado no Brasil acerca dos desafios e possibilidades do uso das Tecnologias Digitais da Informação e Comunicação (TDICs) como principal ferramenta para o desenvolvimento do ensino da educação física escolar durante a pandemia da COVID-19. Foram realizadas buscas de artigos publicados no período de 2020 a 2022, nas plataformas Scielo e Lilacs. Selecionadas as produções, partiu-se para a análise e discussão de 18 artigos. Os resultados mostram que, dentre os desafios encontradas, os mais intensamente citados foram as dificuldades dos professores adaptarem suas metodologias de ensino com o suporte das TDICS, incluindo a forma de avaliar os alunos bem como a necessidade de formação continuada para aprender a utilizar os novos recursos tecnológicos. Para os alunos, o maior desafio é o acesso aos equipamentos. No que diz respeito as possibilidades foram destacadas a criação de uma conexão entre a escola e o mundo fora dela, aumentando assim a motivação e prazer dos alunos com as aulas, além de ampliar, tanto para professores quanto para alunos, os conhecimentos e uso das TDICS. Conclui-se que o avanço tecnológico é uma realidade que precisa ser integrada, de forma mais efetiva, no cotidiano educacional. É necessário promover a formação de professores e alunos no uso das TDICs a fim de que elas possam de fato, melhorar o ensino.
Serum proteins differentially expressed in gestational diabetes mellitus assessed using isobaric tag for relative and absolute quantitation proteomics
Authors: Cao Wei-Li , Yu Cui-Ping , Zhang Ling-Li 
Published: March 2024

BACKGROUND
As a well-known fact to the public, gestational diabetes mellitus (GDM) could bring serious risks for both pregnant women and infants. During this important investigation into the linkage between GDM patients and their altered expression in the serum, proteomics techniques were deployed to detect the differentially expressed proteins (DEPs) of in the serum of GDM patients to further explore its pathogenesis, and find out possible biomarkers to forecast GDM occurrence.
AIM
To investigation serum proteins differentially expressed in GDM were assessed using isobaric tag for relative and absolute quantitation (iTRAQ) proteomics and bioinformatics analyses.
METHODS
Subjects were divided into GDM and normal control groups according to the IADPSG diagnostic criteria. Serum samples were randomly selected from four cases in each group at 24-28 wk of gestation, and the blood samples were identified by applying iTRAQ technology combined with liquid chromatography-tandem mass spectrometry. Key proteins and signaling pathways associated with GDM were identified by bioinformatics analysis, and the expression of key proteins in serum from 12 wk to 16 wk of gestation was further verified using enzyme-linked immunosorbent assay (ELISA).
RESULTS
Forty-seven proteins were significantly differentially expressed by analyzing the serum samples between the GDM gravidas as well as the healthy ones. Among them, 31 proteins were found to be upregulated notably and the rest 16 proteins were downregulated remarkably. Bioinformatic data report revealed abnormal expression of proteins associated with lipid metabolism, coagulation cascade activation, complement system and inflammatory response in the GDM group. ELISA results showed that the contents of RBP4, as well as ANGPTL8, increased in the serum of GDM gravidas compared with the healthy ones, and this change was found to initiate from 12 wk to 16 wk of gestation.
CONCLUSION
GDM symptoms may involve abnormalities in lipid metabolism, coagulation cascade activation, complement system and inflammatory response. RBP4 and ANGPTL8 are expected to be early predictors of GDM.
Advanced cervix cancer patient with chemotherapy-induced grade IV myelosuppression achieved complete remission with cadonilimab: A case report
Authors: Zhu Rui , Chen Tian-Ze , Sun Meng-Ting , Zhu Chun-Rong 
Published: March 2024

BACKGROUND
The prognosis for patients with advanced metastatic cervix cancer (MCC) is poor, and this disease continues to pose a considerable therapeutic challenge. Despite the administration of first-line regimens consisting of cisplatin, paclitaxel, and bevacizumab, survival rates for patients with metastasis remain poor. The emergence of bispecific antibodies (BsAbs) offers a novel treatment option for patients diagnosed with MCC.
CASE SUMMARY
In this report, we present a patient with MCC who was treated with cadonilimab monotherapy at a dose of 6 mg/kg every two weeks after chemotherapy was proven to be intolerable. The patient exhibited a sustained complete response for a duration of 6 months, demonstrating an optimistic outlook.
CONCLUSION
This case illustrates the considerable efficacy of cadonilimab for treating advanced MCC. Therefore, BsAb therapy is a promising strategy for effectively treating patients with advanced MCC and should be considered as an option when patients are intolerant to standard chemotherapy.
Eccrine porocarcinoma in the tempus of an elderly woman: A case report
Authors: Wu Zhi-Wei , Zhu Wen-Jie , Huang Shan , Tan Qi , You Cong , Hu Dian-Gui , Li Long-Nian 
Published: March 2024

BACKGROUND
Eccrine porocarcinoma (EPC) is a rare skin tumor that mainly affects the elderly population. Tumors often present with slow growth and a good prognosis. EPCs are usually distinguished from other skin tumors using histopathology and immunohistochemistry. However, surgical management alone may be inadequate if the tumor has metastasized. However, currently, surgical resection is the most commonly used treatment modality.
CASE SUMMARY
A seventy-four-year-old woman presented with a slow-growing nodule in her left temporal area, with no obvious itching or pain, for more than four months. Histopathological examination showed small columnar and short spindle-shaped cells; thus, basal cell carcinoma was suspected. However, immunohistochemical analysis revealed the expression of cytokeratin 5/6, p63 protein, p16 protein, and Ki-67 antigen (40%), and EPC was taken into consideration. The skin biopsy was repeated, and hematoxylin and eosin staining revealed ductal differentiation in some cells. Finally, the patient was diagnosed with EPC, and Mohs micrographic surgery was performed. We adapted follow-up visits in a year and not found any recurrence of nodules.
CONCLUSION
This case report emphasizes the diagnosis and differentiation of EPC.
High-energy, frequency-doubled thulium-doped fiber chirped-pulse amplification system at 950 nm
Authors: Xu Shutao , Lim Timothy , Turnali Ahmet , Sander Michelle Y. 
Published: March 2024

Compact, high-energy ultrafast sources at less exploited fiber gain wavelengths can enable various applications. Here, a high pulse-energy (138 nJ) femtosecond (390 fs) laser source with a center wavelength around 950 nm is demonstrated by frequency-doubling of ultrafast pulses from a thulium-doped fiber chirped-pulse amplification system. The thulium-doped fiber system generates an average output power of 6.5 W around a wavelength of 1.9 µm whose pulses (703 nJ) can be compressed to a pulse duration of 490 fs. This ultrafast 950 nm source offers an attractive system for applications, including two-photon microscopy, and marks the highest-energy fiber system at this wavelength to date.
A hybrid feature selection algorithm combining information gain and grouping particle swarm optimization for cancer diagnosis
Authors: Yang Fangyuan , Xu Zhaozhao , Wang Hong , Sun Lisha , Zhai Mengjiao , Zhang Juan 
Published: March 2024

Background
Cancer diagnosis based on machine learning has become a popular application direction. Support vector machine (SVM), as a classical machine learning algorithm, has been widely used in cancer diagnosis because of its advantages in high-dimensional and small sample data. However, due to the high-dimensional feature space and high feature redundancy of gene expression data, SVM faces the problem of poor classification effect when dealing with such data.

Methods
Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). The algorithm firstly calculates the information gain values of the features and ranks them in descending order according to the value. Then, ranked features are grouped according to the information index, so that the features in the group are close, and the features outside the group are sparse. Finally, grouped features are searched using grouping PSO and evaluated according to in-group and out-group.

Results
Experimental results show that the average accuracy (ACC) of the SVM on the feature subset selected by the IG-GPSO is 98.50%, which is significantly better than the traditional feature selection algorithm. Compared with KNN, the classification effect of the feature subset selected by the IG-GPSO is still optimal. In addition, the results of multiple comparison tests show that the feature selection effect of the IG-GPSO is significantly better than that of traditional feature selection algorithms.

Conclusion
The feature subset selected by IG-GPSO not only has the best classification effect, but also has the least feature scale (FS). More importantly, the IG-GPSO significantly improves the ACC of SVM in cancer diagnostic.
Factors predicting mortality in hospitalised HIV-negative children with lower-chest-wall indrawing pneumonia and implications for management
Authors: Gallagher Katherine E. , Awori Juliet O. , Knoll Maria D. , Rhodes Julia , Higdon Melissa M. , Hammitt Laura L. , Prosperi Christine , Baggett Henry C. , Brooks W. Abdullah , Fancourt Nicholas , Feikin Daniel R. , Howie Stephen R. C. , Kotloff Karen L. , Tapia Milagritos D. , Levine Orin S. , Madhi Shabir A. , Murdoch David R. , O’Brien Katherine L. , Thea Donald M. , Baillie Vicky L. , Ebruke Bernard E. , Kamau Alice , Moore David P. , Mwananyanda Lawrence , Olutunde Emmanuel O. , Seidenberg Phil , Sow Samba O. , Thamthitiwat Somsak , Scott J. Anthony G. ,   for The PERCH Study Group
Published: March 2024

Introduction
In 2012, the World Health Organization revised treatment guidelines for childhood pneumonia with lower chest wall indrawing (LCWI) but no ‘danger signs’, to recommend home-based treatment. We analysed data from children hospitalized with LCWI pneumonia in the Pneumonia Etiology Research for Child Health (PERCH) study to identify sub-groups with high odds of mortality, who might continue to benefit from hospital management but may not be admitted by staff implementing the 2012 guidelines. We compare the proportion of deaths identified using the criteria in the 2012 guidelines, and the proportion of deaths identified using an alternative set of criteria from our model.

Methods
PERCH enrolled a cohort of 2189 HIV-negative children aged 2–59 months who were admitted to hospital with LCWI pneumonia (without obvious cyanosis, inability to feed, vomiting, convulsions, lethargy or head nodding) between 2011–2014 in Kenya, Zambia, South Africa, Mali, The Gambia, Bangladesh, and Thailand. We analysed risk factors for mortality among these cases using predictive logistic regression. Malnutrition was defined as mid-upper-arm circumference <125mm or weight-for-age z-score <-2.

Results
Among 2189 cases, 76 (3·6%) died. Mortality was associated with oxygen saturation <92% (aOR 3·33, 1·99–5·99), HIV negative but exposed status (4·59, 1·81–11·7), moderate or severe malnutrition (6·85, 3·22–14·6) and younger age (infants compared to children 12–59 months old, OR 2·03, 95%CI 1·05–3·93). At least one of three risk factors: hypoxaemia, HIV exposure, or malnutrition identified 807 children in this population, 40% of LCWI pneumonia cases and identified 86% of the children who died in hospital (65/76). Risk factors identified using the 2012 WHO treatment guidelines identified 66% of the children who died in hospital (n = 50/76).

Conclusions
Although it focuses on treatment failure in hospital, this study supports the proposal for better risk stratification of children with LCWI pneumonia. Those who have hypoxaemia, any malnutrition or those who were born to HIV positive mothers, experience poorer outcomes than other children with LCWI pneumonia. Consistent identification of these risk factors should be prioritised and children with at least one of these risk factors should not be managed in the community.
Association between media exposure and maternal health service use in Nepal: A further analysis of Nepal Demographic and Health Survey-2022
Authors: Sharma Shreeman , Adhikari Bikram , Pandey Achyut Raj , Karki Sulata , K. C. Saugat Pratap , Joshi Deepak , Baral Sushil Chandra 
Published: March 2024

Background
Nepal has made incremental progress in improving coverage of maternal health services leading to improved health outcomes. Government and other health sector stakeholders have consistently considered dissemination of educational messages on maternal health through mass media. However, in Nepal’s context, the media’s influence on the uptake of maternal health services is less known. This study examines the links between media exposure and maternal health service use in Nepal.

Method
Our analysis is based on the nationally representative Nepal Demographic and Health Survey (NDHS) 2022 data. We analyzed data from 1933 women aged 15–49 who had given birth in the two years preceding the survey. Weight analysis was performed to account for complex survey design. We presented categorical variables as frequency, percentage, and corresponding 95% Confidence Interval (CI). Univariable and multivariable logistic regression assessed the association between media exposure and maternal health service use, and the results are presented as crude (COR) and adjusted odds ratios (AOR) along with 95% CI.

Results
Women exposed to internet use had 1.59 times [AOR = 1.59, 95% CI = 1.16, 2.19], and those exposed to radio and television health programs had 1.73 times [AOR = 1.73, 95% CI = 1.17, 2.56] higher odds of having four or more Antenatal Care (ANC) visits. Similarly, women exposed to mass media had 1.32 times [AOR = 1.32, 95% CI = 1.00, 1.74] and those exposed to health programs had 1.50 times [AOR = 1.50, 95% CI = 1.02, 2.21] higher odds of having an institutional delivery. However, mass media exposure, internet use, and health program exposure were not significantly associated with increased postnatal care of mother and newborn.

Conclusion
Exposure to health programs and internet use are positively associated with four or more ANC visits. Exposure to mass media and health programs are positively associated with increased institutional delivery. Our findings imply that well-designed campaigns and awareness programs delivered through mass media platforms play a vital role in enhancing the uptake of maternal health services.
Qualitative classification of thrombus images as a way to improve quantitative analysis of thrombus formation in flow chamber assays
Authors: Kamola Piotr , Przygodzki Tomasz 
Published: March 2024

Background
Thrombus formation in vitro under flow conditions is one of the most widely used methods to study haemostasis and to evaluate the activity of potential antithrombotic compounds. Assessment of the results of these experiments is often based on a quantification of microscopic images of thrombi. In a majority of reported analysis all thrombi visualised in an image are quantified as one homogenous class. In some protocols, qualitative assessment of thrombi morphology based on a visual comparison of evaluated images with representative images of predefined classes of thrombi are performed by experienced analysts. In presented paper we show how the quantitative analysis can be improved by classification of thrombi on the basis of defined morphological features prior to quantification and we suggest that machine learning-based approach can improve this way of analysis.

Methods
We tested the applicability of machine learning-based segmentation and classification of thrombi images to improve the outcome of quantification of the results of flow chamber assays. For this, we used the public domain machine learning software Ilastik for bioimage analysis developed at the European Molecular Biology Laboratory. A model was trained to distinguish two classes of thrombi based on certain morphological features which apparently correspond to the stage of thrombus development. Thrombi formed in the presence of a model antiplatelet compound—abciximab or in control conditions were quantified with the use of this model and the results were compared to quantification where all thrombi were quantified as a homogenous class.

Results
Machine learning-based analysis was capable of effective distinguishing of two classes of morphologically distinct platelet aggregates. The use of the model which segmented and quantified only the objects recognized as compacted structures provided results which better mirrored the actual effect of an antiplatelet treatment than quantification based on all structures.

Conclusions
Classification of thrombi enabled by machine learning increases the relevance of quantitative information and allows better evaluation of the results of in vitro thrombosis assays.
On building machine learning models for medical dataset with correlated features
Authors: Nayak Debismita , Tantravahi Sai Lakshmi Radhika 
Published: March 2024

Abstract
This work builds machine learning models for the dataset generated using a numerical model developed on an idealized human artery. The model has been constructed accounting for varying blood characteristics as it flows through arteries with variable vascular properties, and it is applied to simulate blood flow in the femoral and its continued artery. For this purpose, we designed a pipeline model consisting of three components to include the major segments of the femoral artery: CFA, the common femoral artery and SFA, the superficial artery, and its continued one, the popliteal artery (PA). A notable point of this study is that the features and target variables of the former component pipe form the set of features of the latter, thus resulting in multicollinearity among the features in the third component pipe. Thus, we worked on understanding the effect of these correlated features on the target variables using regularized linear regression models, ensemble, and boosting algorithms. This study highlighted the blood velocity in CFA as the primary influential factor for wall shear stress in both CFA and SFA. Additionally, it established the blood rheology in PA as a significant factor for the same in it. Nevertheless, because the study relies on idealized conditions, these discoveries necessitate thorough clinical validation.
Wer setzt sich in Deutschland gegen Rassismus ein? Antirassistischer Protest im Spiegel repräsentativer Daten
Authors: Kim Tae Jun , Steinhilper Elias 
Published: March 2024

Zusammenfassung
Antirassistischer Protest hat in Deutschland zuletzt deutlich an Sichtbarkeit gewonnen. Aufgrund mangelnder Daten sind allerdings einige grundlegende Fragen ungeklärt, darunter: Wie groß ist das Mobilisierungspotenzial für antirassistischen Protest und welche sozialen, psychologischen und politischen Faktoren erklären Protestpotenzial und -praxis? In diesem Beitrag greifen wir auf empirische Daten zurück, die im Rahmen einer repräsentativen Panelstudie des Nationalen Diskriminierungs- und Rassismusmonitors erhoben wurden. Unsere Daten zeigen, dass antirassistischer Protest in Deutschland ein großes Mobilisierungspotenzial in breiten Teilen der Bevölkerung hat und sich nicht auf eine kleine soziale oder politische Nische beschränkt. Darüber hinaus dokumentieren unsere Daten, dass relationale und emotionale Einflussfaktoren die Protestteilnahme und das Mobilisierungspotenzial positiv beeinflussen.
Yeast Bxi1/Ybh3 mediates conserved mitophagy and apoptosis in yeast and mammalian cells: convergence in Bcl-2 family
Authors: Wang Yuying , Hu Zhiyuan , Jiang Maojun , Zhang Yanxin , Yuan Linjie , Wang Ziqian , Song Ting , Zhang Zhichao 
Published: March 2024

Abstract
The process of degrading unwanted or damaged mitochondria by autophagy, called mitophagy, is essential for mitochondrial quality control together with mitochondrial apoptosis. In mammalian cells, pan-Bcl-2 family members including conical Bcl-2 members and non-conical ones are involved in and govern the two processes. We have illustrated recently the BH3 receptor Hsp70 interacts with Bim to mediate both apoptosis and mitophagy. However, whether similar pathways exist in lower eukaryotes where conical Bcl-2 members are absent remained unclear. Here, a specific inhibitor of the Hsp70-Bim PPI, S1g-10 and its analogs were used as chemical tools to explore the role of yeast Bxi1/Ybh3 in regulating mitophagy and apoptosis. Using Om45-GFP processing assay, we illustrated that yeast Ybh3 mediates a ubiquitin-related mitophagy pathway in both yeast and mammalian cells through association with Hsp70, which is in the same manner with Bim. Moreover, by using Bax/Bak double knockout MEF cells, Ybh3 was identified to induce apoptosis through forming oligomerization to trigger mitochondrial outer membrane permeabilization (MOMP) like Bax. We not only illustrated a conserved ubiquitin-related mitophagy pathway in yeast but also revealed the multi-function of Ybh3 which combines the function of BH3-only protein and multi-domain Bax protein as one.
Long term clinical follow up of four patients with Wolfram syndrome and urodynamic abnormalities
Authors: Dange Nimisha S. , Shah Nikhil , Oza Chirantap , Sharma Jyoti , Singhal Jyoti , Yewale Sushil , Mondkar Shruti , Ambike Shriniwas , Khadilkar Vaman , Khadilkar Anuradha V. 
Published: March 2024

Abstract

Objectives
Wolfram syndrome is characterised by insulin-dependent diabetes (IDDM), diabetes insipidus (DI), optic atrophy, sensorineural deafness and neurocognitive disorders. The DIDMOAD acronym has been recently modified to DIDMOAUD suggesting the rising awareness of the prevalence of urinary tract dysfunction (UD). End stage renal disease is the commonest cause of mortality in Wolfram syndrome. We present a case series with main objective of long term follow up in four children having Wolfram syndrome with evaluation of their urodynamic profile.

Methods
A prospective follow up of four genetically proven children with Wolfram syndrome presenting to a tertiary care pediatric diabetes clinic in Pune, India was conducted. Their clinical, and urodynamic parameters were reviewed.

Results
IDDM, in the first decade, was the initial presentation in all the four children (three male and one female). Three children had persistent polyuria and polydipsia despite having optimum glycemic control; hence were diagnosed to have DI and treated with desmopressin. All four patients entered spontaneous puberty. All patients had homozygous mutation in WFS1 gene; three with exon 8 and one with exon 6 novel mutations. These children with symptoms of lower urinary tract malfunction were further evaluated with urodynamic studies; two of them had hypocontractile detrusor and another had sphincter-detrusor dyssynergia. Patients with hypocontractile bladder were taught clean intermittent catheterization and the use of overnight drain.

Conclusions
We report a novel homozygous deletion in exon 6 of WFS-1 gene. The importance of evaluation of lower urinary tract malfunction is highlighted by our case series. The final bladder outcome in our cases was a poorly contractile bladder in three patients.