bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case Report: Pirfenidone in the Treatment of Post-COVID-19 Pulmonary Fibrosis
Authors: Zhou Xianglin , Yang Danhui , Kong Xianglong , Wei Chengli , LvQiu Siqi , Wang Lin , Lin Yongkang , Yin Zhilan , Zhou Zhiguo , Luo Hong 
Published: June 2022

BackgroundPulmonary fibrosis is one of the sequelae of the COVID-19, which seriously affects the quality of life of survivors. Currently, there are no optimal evidence based guidelines targeting this population.Case PresentationWe report a 66-year-old female patient without underlying comorbidities admitted to Changsha Public Health Center because of COVID-19. During hospitalization, she developed co-bacterial infection and acute respiratory distress syndrome, and received broad-spectrum antibacterial therapy, invasive mechanical ventilation and extracorporeal membrane oxygenation. After the acute phase, she developed post-COVID-19 pulmonary fibrosis subsequently treated with pirfenidone. Over 96 weeks after pirfenidone treatment, her modified Medical Research Council Dyspnea level improved to 2 from 4 at discharge. Her 6 minutes walk test distance, total lung capacity, and diffusion capacity for carbon monoxide all increased. Chest CT performed on 2 years after illness onset showed regressing fibrosis. The Hospital Anxiety and Depression Scale, Athens Insomnia Scale, and 36-Item Short Form Health Survey questionnaire all improved.ConclusionPost-COVID-19 pulmonary fibrosis is a challenging consequence of COVID-19, and our case suggests that pirfenidone may be an effective treatment option.
Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease
Authors: Das Surya , Puthankattil Subha D. 
Published: June 2022

BackgroundFunctional connectivity and complexity analysis has been discretely studied to understand intricate brain dynamics. The current study investigates the interplay between functional connectivity and complexity using the Kuramoto mean-field model.MethodFunctional connectivity matrices are estimated using the weighted phase lag index and complexity measures through popularly used complexity estimators such as Lempel-Ziv complexity (LZC), Higuchi's fractal dimension (HFD), and fluctuation-based dispersion entropy (FDispEn). Complexity measures are estimated on real and simulated electroencephalogram (EEG) signals of patients with mild cognitive-impaired Alzheimer's disease (MCI-AD) and controls. Complexity measures are further applied to simulated signals generated from lesion-induced connectivity matrix and studied its impact. It is a novel attempt to study the relation between functional connectivity and complexity using a neurocomputational model.ResultsReal EEG signals from patients with MCI-AD exhibited reduced functional connectivity and complexity in anterior and central regions. A simulation study has also displayed significantly reduced regional complexity in the patient group with respect to control. A similar reduction in complexity was further evident in simulation studies with lesion-induced control groups compared with non-lesion-induced control groups.ConclusionTaken together, simulation studies demonstrate a positive influence of reduced connectivity in the model imparting a reduced complexity in the EEG signal. The study revealed the presence of a direct relation between functional connectivity and complexity with reduced connectivity, yielding a decreased EEG complexity.
A Radiomics Model for Preoperative Predicting Sentinel Lymph Node Metastasis in Breast Cancer Based on Dynamic Contrast-Enhanced MRI
Authors: Ma Mingming , Jiang Yuan , Qin Naishan , Zhang Xiaodong , Zhang Yaofeng , Wang Xiangpeng , Wang Xiaoying 
Published: June 2022

PurposeTo develop a radiomics model based on preoperative dynamic contrast-enhanced MRI (DCE-MRI) to identify sentinel lymph node (SLN) metastasis in breast cancer (BC) patients.Materials and MethodsThe MRI images and clinicopathological data of 142 female primary BC patients from January 2017 to December 2018 were included in this study. The patients were randomly divided into the training and testing cohorts at a ratio of 7:3. Four types of radiomics models were built: 1) a radiomics model based on the region of interest (ROI) of breast tumor; 2) a radiomics model based on the ROI of intra- and peri-breast tumor; 3) a radiomics model based on the ROI of axillary lymph node (ALN); 4) a radiomics model based on the ROI of ALN and breast tumor. Receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) were used to assess the performance of the three radiomics models. The technique for order of preference by similarity to ideal solution (TOPSIS) through decision matrix analysis was used to select the best model.ResultsModels 1, 2, 3, and 4 yielded AUCs of 0.977, 0.999, 0.882, and 1.000 in the training set and 0.699, 0.817, 0.906, and 0.696 in the testing set, respectively, in terms of predicting SLN metastasis. Model 3 had the highest AUC in the testing cohort, and only the difference from Model 1 was statistically significant (p = 0.022). DCA showed that Model 3 yielded a greater net benefit to predict SLN metastasis than the other three models in the testing cohort. The best model analyzed by TOPSIS was Model 3, and the method’s names for normalization, dimensionality reduction, feature selection, and classification are mean, principal component analysis (PCA), ANOVA, and support vector machine (SVM), respectively.ConclusionALN radiomics feature extraction on DCE-MRI is a potential method to evaluate SLN status in BC patients.
Plasma Metabolites Forecast Occurrence and Prognosis for Patients With Diffuse Large B-Cell Lymphoma
Authors: Fei Fei , Zheng Meihong , Xu Zhenzhen , Sun Runbin , Chen Xin , Cao Bei , Li Juan 
Published: June 2022

BackgroundDiffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin’s lymphoma with considerable heterogeneity and different clinical prognosis. However, plasma metabomics used to forecast occurrence and prognosis of DLBCL are rarely addressed.MethodA total of 65 volunteers including 22 healthy controls (Ctrl), 25 DLBCL patients newly diagnosed (ND), and 18 DLBCL patients achieving complete remission (CR) were enrolled. A gas chromatography mass spectrometry-based untargeted plasma metabolomics analysis was performed.ResultsMultivariate statistical analysis displayed distinct metabolic features among Crtl, ND, and CR groups. Surprisingly, metabolic profiles of newly diagnosed DLBCL patients undergoing different prognosis showed clear and distinctive clustering. Based on the candidate metabolic biomarkers (glucose and aspartate) and clinical indicators (lymphocyte, red blood count, and hemoglobin), a distinct diagnostic equation was established showing improved diagnostic performance with an area under curve of 0.936. The enrichment of citric acid cycle, deficiency of branched chain amino acid, methionine, and cysteine in newly diagnosed DLBCL patients was closely associated with poor prognosis. In addition, we found that malate and 2-hydroxy-2-methylbutyric acid were positively correlated with the baseline tumor metabolic parameters (metabolically active tumor volume and total lesion glycolysis), and the higher abundance of plasma malate, the poorer survival.ConclusionOur preliminary data suggested plasma metabolomics study was informative to characterize the metabolic phenotypes and forecast occurrence and prognosis of DLBCL. Malate was identified as an unfavorable metabolic biomarker for prognosis-prediction of DLBCL, which provided a new insight on risk-stratification and therapeutic targets of DLBCL. More studies to confirm these associations and investigate potential mechanisms are in the process.
Lung Function in Preschool Children in Low and Middle Income Countries: An Under-Represented Potential Tool to Strengthen Child Health
Authors: Chaya Shaakira , Zar Heather J. , Gray Diane M. 
Published: June 2022

BackgroundThe burden of respiratory disease is high in low-middle income countries (LMIC). Pulmonary function tests are useful as an objective measure of lung health and to track progression. Spirometry is the commonest test, but its use is limited in preschool children. Other lung function methods have been developed but their use in LMIC has not been well described.AimTo review the use of preschool lung function testing in children in LMIC, with particular reference to feasibility and clinical applications.MethodsElectronic databases “PubMed”, “Scopus”,” Web of Science”, and “EBSCO host” were searched for publications in low and middle income countries on preschool lung function testing, including spirometry, fractional exhaled nitric oxide (FeNO), oscillometry, interrupter technique, tidal breathing and multiple breath washout (MBW), from 1 January 2011 to 31 January 2022. Papers in English were included and those including only children ≥6 years were excluded.ResultA total of 61 papers from LMIC in Asia, South America, Africa, Eurasia or the Middle East were included. Of these, 40 included spirometry, 7 FeNO, 15 oscillometry, 2 interrupter technique, and 2 tidal breathing. The papers covered test feasibility (19/61), clinical application (46/61) or epidemiological studies (13/61). Lung function testing was successful in preschool children from LMIC. Spirometry was the most technically demanding and success gradually increased with age.ConclusionPreschool lung function testing is under-represented in LMIC for the burden of respiratory disease. These tests have the potential to strengthen respiratory care in LMIC, however access needs to be improved.
Clinical Effectiveness of Conservative Treatments on Lumbar Spinal Stenosis: A Network Meta-Analysis
Authors: Chen Xuanwei , Zheng Zhizhan , Lin Jianhua 
Published: June 2022

Objective: To systematically evaluate the clinical effectiveness of conservative treatments including pharmacological treatments and nonpharmacological treatments on patients with lumbar spinal stenosis.Methods: We searched six electronic databases systematically for randomized clinical trials published between January 2000 and July 2021, including the China National Knowledge Infrastructure, WanFang Data, PubMed, MEDLINE, Embase, and the Cochrane library. The studies focused on the therapeutic effects of pharmacological treatments including calcitonin, antiepileptics, neurotrophic drugs, nonsteroidal anti-inflammatory drugs, Chinese Traditional Medicine, limaprost, and nonpharmacological treatments like physiotherapy for treating lumbar spinal stenosis were included. The outcome was measured using the visual analog scale, Oswestry Dysfunction Index, Japanese Orthopaedic Association Score, and EuroQol Five Dimensions Questionnaire. The quality of eligible studies was assessed by using the Cochrane recommended bias risk assessment tool. Stata was used to conduct the network meta-analysis.Results: A total of 12 randomized control trials with 1,194 patients were included. The network meta-analysis showed that for the visual analog scale, a better therapeutic effect was noted while using Chinese Traditional Medicine and physiotherapy, followed by analgesics drugs and limaprost. Limaprost and calcitonin were better in decreasing the Oswestry Dysfunction Index. In terms of the Japanese Orthopaedic Association Score, the use of traditional Chinese Medicine and limaprost were associated with a better improvement than other treatments. Meanwhile, limaprost combined with analgesics drugs was found to be effective to improve the EuroQol Five Dimensions Questionnaire.Conclusion: Among the commonly used conservative treatments for the treatment of lumbar spinal stenosis, limaprost may have better efficacy in improving the Japanese Orthopaedic Association Score and decreasing the Oswestry Dysfunction Index, with a beneficial effect on decreasing the visual analog scale and improving the EuroQol Five Dimensions Questionnaire.Systematic Review Registration: website, identifier registration number.
Structural and piezoelectric properties of AlN thin films grown by pressure gradient sputtering
Authors: Terai Yoshikazu , Haraguchi Kengo , Ichinose Ryo , Oota Hiroki , Yonezawa Ken 
Published: June 2022

Abstract
Aluminum nitride (AlN) thin films were grown by pressure gradient sputtering (PGS) and conventional sputtering methods. A pressure gradient with low pressure at a substrate position was measured only in the PGS method. AlN films highly oriented along the c-axis were grown by both methods, but there were remarkable differences in the surface roughness and the piezoelectric properties. The average surface roughness (Ra) obtained by atomic force microscopy images was much smaller in the AlN grown by the PGS method. The piezoelectric constant (d
33) of the AlN grown by the PGS method was higher than that of the conventional method. These results revealed that the PGS technique has an advantage in the growth of AlN films that are highly c-axis oriented with a single dielectric domain.
Activity Analytics from Fixed Cameras for Robot Path Planning
Authors: O'Gorman Lawrence 
Published: June 2022

<p> Abstract— Although mobile robots have on-board sensors to perform navigation, path planning can benefit from fixed, or infrastructure, cameras that capture activity analytics continuously and from non-robot perspectives. We describe an approach that collects statistics of motion that repeat at some period (usually a day) and perform path planning to avoid expected activity in time and space The same statistics are used to learn preferred human paths and plan robot paths on these at times of low human activity. Temporal filtering is performed in cascade to efficiently extract long- and short-term activity in two time dimensions (isochronal and chronological) for use in global and local path planning. We compare our lightweight activity detection approach to neural network object detection methods and propose an activity-gated approach that combines activity and object detection efficiently. We deployed our approach in the ROS robot software development framework by augmenting the cost map of static objects with dynamic regions determined from activity. We describe benefits and constraints of this combination. </p>
ŽEMĖS PAVIRŠIAUS MODELIO SUDARYMAS SKIRTINGAIS GEODEZINIAIS METODAIS IR TIKSLUMO ANALIZĖ
Authors: Veikutytė Gerda , Šlikas Dominykas 
Published: June 2022

Žemės paviršiaus modelio sudarymas – plačiai taikomas tyrimų metodas. Natūraliai galimas ne vienas paviršiaus modelio sudarymo būdas. Geodezijoje DTM paviršiui sukurti dažnai naudojami LIDAR duomenys,
fotogrametrinės nuotraukos, GPNS ar tacheometriniai matavimai. Paviršiaus modeliui sudaryti surenkamos informacijos metodas priklauso nuo tiriamo ploto, norimo pasiekti tikslumo ir aplinkos parametrų. Šiame straipsnyje aptariamas skaitmeninių erdvinių žemės paviršiaus modelių sudarymas, taikant kelis skirtingus geodezinius matavimo
metodus. Nagrinėjamas sudarytų skaitmeninių paviršių tikslumas.
Analyse économique de la responsabilité civile
Authors: Deffains Bruno 
Published: June 2022

Cet article propose une synthèse des travaux consacrés à l’analyse économique de la responsabilité civile. Après une discussion des finalités du droit de la responsabilité civile, est exposé le modèle économique général qui permet de comparer les principaux régimes basés ou non sur la faute. Quelques extensions du modèle sont proposés ainsi qu’une discussion de la portée normative de l’approche présenté. L’objectif est de démontrer que l’analyse économique de la responsabilité civile comporte une promesse, celle d’éclairer la raison d’être de nombreux principes de cette branche du droit civil. L’interprétation des concepts et des raisonnements juridiques conduit le plus souvent à conforter le savoir du juriste sur une base économique. D’un point de vue historique, l’analyse fournit également les outils nécessaires pour comprendre comment le droit s’est adapté aux circonstances changeantes des sociétés depuis la création du code civil de 1804 jusqu’à aujourd’hui. L’analyse économique du droit est ainsi un bon moyen de renouer avec la grande tradition civiliste.
Les modalités de la réparation
Authors: Hocquet-Berg Sophie 
Published: June 2022

Le projet de réforme de la Chancellerie du 13 mars 2017 consacre pour l’essentiel les solutions dégagées depuis plusieurs décennies par la jurisprudence en matière de réparation des dommages résultant d’une atteinte à un bien corporel dont la finalité est de trouver un juste équilibre entre le droit de la victime à obtenir la réparation intégrale de ses préjudices et la nécessité de ne pas sacrifier les intérêts du responsable.
Quels déterminants des tactiques de socialisation ? Le cas des Compagnons du Devoir et du Tour de France
Authors: Tassigny Lauryane , Abonneau David , Perrot Serge 
Published: June 2022

Alors que la socialisation organisationnelle était jusqu’ici consacrée à l’étude des individus diplômés (nouveaux entrants ou établis dans l’organisation) (Perrot, 2000 ; Djabi, 2014), un courant récent propose d’étudier les jeunes à faible capital scolaire par l’enjeu qu’ils représentent en termes de socialisation (Dufour & Lacaze, 2010 ; Montargot, 2017 ; Laïchour et Chanlat, 2020). Nous nous inscrivons dans ce courant en mobilisant la littérature sur les tactiques de socialisation organisationnelle, jusqu’ici largement consacrée à l’analyse de leurs conséquences (engagement, intégration, fidélisation…). Nous proposons alors d’approfondir les connaissances sur les antécédents de ces tactiques puisque leur compréhension reste limitée et centrée sur quelques variables organisationnelles telles que la structure, la stratégie… Dans le cadre du projet gouvernemental « 100 % inclusion » visant à intégrer des jeunes en décrochage scolaire et/ou social dans l’emploi et dans la formation, nous menons une étude de cas au sein des Compagnons du Devoir et du Tour de France. Les Compagnons proposent un dispositif unique et désignent quatre régions pour sa mise en œuvre. Dans les faits, la régionalisation entraîne des ajustements nécessaires du dispositif, et donc des tactiques de socialisation différentes. La réalisation d’entretiens selon une approche longitudinale auprès de bénéficiaires et des acteurs du projet (référentes régionales), ainsi que l’observation non participante, nous permettent de caractériser les dispositifs mis en place, en mobilisant la grille des tactiques de socialisation (Van Maanen & Schein, 1979), et d’explorer leurs antécédents. Nos résultats identifient, pour le choix des tactiques de socialisation, des antécédents organisationnels, mais également de nouveaux antécédents individuels centrés sur les caractéristiques des publics à socialiser. Sur le plan managérial, nous soulignons l’importance de ces variables dans la construction de dispositifs adaptés à ces publics éloignés de l’emploi et de la formation.
Transformation numérique de l’activité et coopération technologique : une affaire d’intelligence professionnelle
Authors: Weber Marie-Laure , Rodhain Florence , Loup Pierre 
Published: June 2022

Cette recherche propose de s’attarder sur le rôle de l’intelligence humaine au travail, dans un monde complexe et de plus en plus numérique. Elle s’appuie sur une étude de la transformation numérique prospective de l’activité d’enseignement, en contexte universitaire. En mobilisant la théorie de l’activité, elle appréhende le rôle de l’intelligence professionnelle. Elle pose la question suivante : comment l’intelligence professionnelle peut-elle soutenir la transformation numérique de l’activité d’enseignement dans l’enseignement supérieur ? Pour y répondre, une étude recourant à la Q Method et à une analyse de profils dans deux contextes situationnels a été menée. Les résultats mettent en évidence la place du collectif dans la transformation de l’activité, ainsi que le rôle de l’intelligence professionnelle comme levier d’adaptation et de conceptualisation d’une activité en coopération technologique.
Exploring Clinical Innovation: Nursing Students' Night-Shift Experience
Authors: Rivera Lara , White Amy 
Published: June 2022

Background:
The current nursing shortage coupled with increased nursing program enrollment and decreased clinical site availability has resulted in a need for innovation related to nursing student clinical experiences. Most clinical experiences are conducted during day-shift hours, resulting in challenges in scheduling as well as student-related nurse fatigue.

Method:
An alternate experience was designed to enhance student learning during an obstetric clinical rotation. Nursing students were assigned to one precepted night-shift experience in lieu of a previously scheduled day shift with their clinical group.

Results:
The precepted night shift enhanced the educational clinical experience for nursing students as reported in reflective assignments. In addition, increased staff nurse satisfaction was reported related to nursing student interaction.

Conclusion:

Integration of alternate clinical experiences such as night shift should be considered as increased nursing school enrollment and decreased availability of clinical sites become more prevalent.

[
J Nurs Educ
. 2022;61(6):345–347.]
Online Graduate Student Retention: Integrative Review With a Theoretically Framed Case Exemplar
Authors: Hayes Lane Susan , Brackney Dana E. , Welborn Amber , Fiske Elizabeth A. 
Published: June 2022

Background:
Retention of online nursing students in graduate education is essential as the need for nurses exceeds the current supply.

Method:
The factors contributing to student attrition are reviewed, and a real-world case exemplar is presented to demonstrate the theoretical design and implementation of an orientation to support retention.

Results:
Knowles' theory of adult learning and Cooper's PECS (purpose, expectations, connections, and support) model for an evidence-based orientation framework guided the design of the orientation. Knowles' theory was aligned with the PECS model to further describe how student and environmental factors can be addressed in an orientation framework and provide strategies for implementation. Additionally, these PECS definitions were applied to specific activities within a conceptual, theoretical, and empirical framework for development of orientations.

Conclusion:

This case exemplar demonstrated an orientation framework for a feasible application of theory and evidence-based strategies for graduate online nursing programs.

[
J Nurs Educ
. 2022;61(6):314–321.]