bluuebunny/crossref_metadata_2025_split huggingface dataset:
High Resolution Computed Tomography Chest Findings Among Post-COVID Patients
Authors: Rabia Shahid  , Muhammad Saleem Akhter  , Muhammad Waseem  , Rafiq Maryam 
Published: September 2022

Background: HRCT chest has proven to be a helpful radiological modality to assess the course of disease. The main objective of the study was to analyze the pattern of lung involvement on HRCT chest among post-Covid patients.
Methodology: This cross-sectional study was carried out in the post Covid patients (30 days after discharge) from Nov 2020 to July 2021 in Sahiwal Teaching Hospital, Pakistan. Total 180 patients were selected through non probability consecutive sampling technique. Whole body Multi Slice CT scan 128 Slices by GE discovery was used to get HRCT of chest and to document various patterns and stages of pulmonary fibrosis in the post-COVID patients. The data was analyzed using the IBM SPSS 28.0.0 2021. Various radiological findings were expressed in percentages.
Results: A total of 77.8% patients had bilateral lung involvement, while 22.2% had unilateral lung involvement after one month of disease.
Ground Glass Haze was the commonest radiological pattern, found in 140 (77.8%) cases. Other radiological patterns were Air Space Opacification (47.2%), Septal Thickening (20%) and Fibrotic Bands (26.1%). Traction Bronchiectasis (10%) and Honey Combing (7.8%) were among the lesser ones reported. About 62% patients had mixed findings on HRCT Chest. Diagnosis of Organizing Pneumonia was made in 166 (92.22%) patients while 14 (7.78%) patients were labelled as UIP (Usual Interstitial Pneumonia) with honey-combing in HRCT chest. The involvement of Right Lower Lobe was in 165 (91.7%) of cases. Right Middle Lobe remained fairly spared and was seen in 120 (66.7%) cases.
Conclusion: Patchy ground glass haze seen bilaterally in lower lung lobes are the commonest abnormalities in HRCT chest of post-COVID patients.
Keywords: Covid-19, Pneumonia, Radiology
The Attitude of Physical Therapy Students Towards their Profession and Education in Punjab
Authors: Mahmood ,PT Dr.Tahir , Salam Abdul , Waseem Iqra , Khalid Aqsa , Maqsood Umer 
Published: September 2022

Background: The quality of medical teaching can be refined based on the attitude of the students towards their clinical and teaching environment. The objective was to determine student attitudes towards their profession and education in Punjab.
Methodology: This cross-sectional survey was conducted from 20th July to December 2021 after taking ethical approval. The data was collected through an online google document from physical therapy undergraduates and post graduates from different institutes of Punjab. The outcome was measured using “physical therapy student attitudes questionnaire (PSAQ)”.It had four sections, section A is about the knowledge of the profession, section B includes beliefs about future, section C is about patient exposure in clinical trainings and section D is about level of satisfaction from the learnings. The data was encoded and analyzed using SPPS V.23. The descriptive statistics and mean+ standard deviations were used to present the scores. The independent sample t-test was used to find the difference in mean scores of males and females with p value ≤ 0.05 taken as significant.
Results: The current study comprised of 82(32.15%) males and 173(67.84%) females with mean age of 22.5+6.5 years. The overall satisfaction level regarding knowledge, future beliefs, clinical exposure and learning was good with total mean± SD of 87.62+17.64 for males and 87.97+18.67 for females. There was no statistically significant difference of satisfaction among male and female students with P >0.05
Conclusion: The student attitude was quite satisfactory regarding their choice of physical therapy profession, good future, patient exposure and learning skills. There was no statistically significant difference based on the gender.
Keywords: Education, Patients, Physical therapy, Satisfaction, Training.
DocXClassifier: Towards an Interpretable Deep Convolutional Neural Network for Document Image Classification
Authors: Saifullah Saifullah , Agne Stefan , Dengel Andreas , Ahmed Sheraz 
Published: September 2022

<p> Convolutional Neural Networks (ConvNets) have been thoroughly researched for document image classification and are known for their exceptional performance in unimodal image-based document classification. Recently, however, there has been a sudden shift in the field towards multimodal approaches that simultaneously learn from the visual and textual features of the documents. While this has led to significant advances in the field, it has also led to a waning interest in improving pure ConvNets-based approaches. This is not desirable, as many of the multimodal approaches still use ConvNets as their visual backbone, and thus improving ConvNets is essential to improving these approaches. In this paper, we present DocXClassifier, a ConvNet-based approach that, using state-of-the-art model design patterns together with modern data augmentation and training strategies, not only achieves significant performance improvements in image-based document classification, but also outperforms some of the recently proposed multimodal approaches. Moreover, DocXClassifier is capable of generating transformer-like attention maps, which makes it inherently interpretable, a property not found in previous image-based classification models. Our approach achieves a new peak performance in image-based classification on two popular document datasets, namely RVL-CDIP and Tobacco3482, with a top-1 classification accuracy of 94.17% and 95.57% on the two datasets, respectively. Moreover, it sets a new record for the highest image-based classification accuracy of 90.14% on Tobacco3482 without transfer learning from RVL-CDIP. Finally, our proposed model may serve as a powerful visual backbone for future multimodal approaches, by providing much richer visual features than existing counterparts. </p>
Cybersecurity and Privacy Aspects of Smart Contracts in the Energy Domain
Authors: Sebastian Cardenas David , Gourisetti Sri Nikhil Gupta , Saha Shammya , Khan Komal , Tillman Leonard C. , Cali Umit , Hughes Tamara 
Published: September 2022

<p>Smart contracts (SCs) are a set of logical procedures that can be run by individual peers participating within a Distributed Ledger Technology (DLT) network. By design, smart contracts inherit many of the benefits of DLT, including its immutability, scalability and security properties. Nevertheless, they may introduce additional attack vectors, which can lead to cybersecurity explorations that could jeopardize the end-application's ability to operate as intended or result in data leaks, and privacy violations. In this work an exploration of known problems, and possible attack scenarios will be presented. This is followed by a set of proposed best practices and mitigation strategies that are intended to assist developers, researchers and other relevant stakeholders to develop secure SC implementations. </p>
Training Demand Prediction Models by Decision Error for Two-Stage Lot-Sizing Problems
Authors: Gong Hailei , Zhang Yanzi , Zhang Zhi-Hai 
Published: September 2022

<p>Demand prediction to support appropriate production decisions is being actively studied. Many prediction models are designed to minimize the prediction error, which is measured by determining the difference between the predicted and ground-truth demand. However, these models ignore the effect of the prediction error on downstream production decisions. This prompts our study, which focuses on demand prediction models for two-stage uncapacitated lot-sizing problems. In this paper, we present a linear prediction model that minimizes the decision error, which is measured by the optimization objective of lotsizing problems. Our model mitigates the impact of prediction errors by leveraging the structure of the lot-sizing problems. We subsequently extend the prediction model to a distributionally robust version. A cutting-plane method is proposed to solve the resulting model under the <em>L_{</em>1} and <em>L_{infinity}</em> norms. The decision errors are used as loss functions to construct decision treeand neural network-based prediction models, respectively. The corresponding training methods are proposed as well. Numerical experiments demonstrate that the proposed prediction models are significantly superior to traditional prediction methods for small samples and high-dimensional data. In addition, the performance of the robust model is highly tolerant to model misspecification and imperfect data.</p>
ANALISIS RETURN SAHAM PERUSAHAAN PERBANKAN DI BURSA EFEK INDONESIA
Authors: Nurmawan Frizki , Ichsanuddin Nur Dhani 
Published: September 2022

The capital market has a role as a means of investing for the public to gain a return. The return expected by investors from investing can be in the form of capital gains/losses or dividends. In the 2015 - 2019 period, although in 2019 the return increased year on year (YoY), it experienced a decline in 2017 – 2018. This uncertainty in the value of stock returns is not in line with the expectations of investors who want their stock returns to continue to move up. The purpose of this study was to determine whether Earning Per Share (EPS), Operating Costs of Operating Income (BOPO), Loan to Deposit Ratio (LDR) and Non Performing Loans (NPL) can contribute to the Stock Return of Banking Sector Companies listed on the Stock Exchange. Indonesia. The sample in this study is banking companies that have been listed on the Indonesia Stock Exchange for the 2015-2019 period using quantitative data types. The data analysis technique in this study used Multiple Regression Analysis, Normality Test, Classical Assumption Test and Hypothesis Testing. The results indicate that: (1) EPS can contribute to Stock Return, (2) BOPO can contribute to Stock Return, (3) LDR can contribute to Stock Return, while (4) NPL cannot contribute to Stock Return.
Multicultural Ability in Dental English Impressions of Hypermedia Email: A Specific Educational Paradigm
Authors: Asgari Arani Jafar 
Published: September 2022

Given the noteworthy connection between special English education acuities and grade point average (GPA), as a directory of educational success, and settlement, it is essential to support the students’ English education talents. Two-way ANCOVA was engaged to evaluate the knowledge efficiency of the informal AI syllabus with dissimilar learning method (i.e., the series of perform schemes and the set of empirical learning) and masculinity. A cross-sectional appraisal was operated through online review and fractional slightest systems was applied in evaluating the records. Universal English for Dental Purposes (EDP) is educated from the opinion of actual conditions and it implies that education English is absorbed on a specific texts and particular terminology. But what is more significant education EDP terminology trusts on emerging statement services, difficulty-resolving, and choice production (Milosavljevic et al., 2015). The investigation recommends that scholars are of the opinion that more communication is continued through e-mail than might have been possible in communication interaction and more, that the English knowledge helps as valuable framework for more acquiring. On the foundation of the contributors' support and reaction, the probable educational worth of an e-mail may converse action in EDP program is undisputable.
The placement-plan reaction provides durable indication of the possible educational profits of the e-mail scheme. Academic communication through e-mail replace to provide a real method to connect the opening between teaching EDP happenings and the energetic firm-changing education setting.
Pembelajaran dengan Pendekatan Saintifik Berbasis Masalah untuk Menumbuhkan Motivasi Belajar Mahasiswa
Authors: Kamil Firmanilah , Harahap Saima Putrini R , Kurnila Nely 
Published: September 2022

Peserta didik merupakan pelaksana dari proses pembelajaran yang memiliki beberapa faktor pendukung bagi ketercapaian tujuan pembelajaran. Faktor yang berasal dari peserta didik adalah motivasi, daya intelegensi, dan konsentrasi. Dari ketiga faktor tersebut motivasi seringkali menjadi aspek yang paling diabaikan dari strategi pembelajaran. Pembelajaran dengan pendekatan saintifik berbasis masalah dirasa mampu menumbuhkan motivasi belajar. Pendekatan saintifik (scientific approach) adalah salah satu model pembelajaran yang dalam prosesnya memuat kaidah-kaidah keilmuan, mulai dari pengumpulan data dengan observasi, menanya, melakukan eksperimen, mengolah informasi atau data, hingga mengomunikasikan dengan tujuan memberikan ruang pada peserta didik secara luas untuk melakukan eksplorasi dan elaborasi materi pembelajaran, serta mampu mengaktualisasikan kemampuan melalui kegiatan pembelajaran yang telah dirancang oleh pendidik. Artikel ini berisi uraian kegiatan pembelajaran pada mahasiswa dengan tujuan memberikan pemaparan mengenai tahapan pendekatan saintifik berbasis masalah dalam menumbuhkan motivasi belajar mahasiswa. Pembelajaran Mekanika Tanah dengan Pendekatan Saintifik Berbasis Masalah dapat dilakukan dengan dan tanpa kegiatan praktikum. Meski tanpa praktikum, tahapan yang dilakukan tetap mengacu pada lima tahapan dasar yakni mengamati, menanya, mengumpulkan informasi, menalar, dan mengkomunikasi. Kegiatan pemberian masalah dapat dilakukan pada tahap mengamati, menggali informasi, atau pada kegiatan diskusi tambahan setelah tahap mengkomunikasi.
Higher-order Turbulence Statistics in the Sub-Alfvénic Solar Wind Observed by Parker Solar Probe
Authors: Zhang J. , Huang S. Y. , Yuan Z. G. , Jiang K. , Xu S. B. , Bandyopadhyay R. , Wei Y. Y. , Xiong Q. Y. , Wang Z. , Yu L. , Lin R. T. 
Published: September 2022

Abstract
Parker Solar Probe has been the first spacecraft to enter the deep corona below the Alfvén critical point. Here we examine the higher-order statistical properties of magnetic-field fluctuations in the sub-Alfvénic solar wind and compare the results with the neighboring super-Alfvénic region. The intermittency and multifractal properties are analyzed by inspecting the probability density functions, the scale-dependent kurtosis, and fractal spectrum of magnetic-field fluctuations. It is found that the magnetic-field fluctuations present distinct intermittency and multifractal properties in the inertial range and the B

R
component reveals much higher intermittency and more asymmetrical multifractal spectrum than the other components. The non-Gaussian self-similarity of fluctuations of B

R
at larger scales has also been observed. Further comparative analysis shows that all the solar wind periods share nearly the same intermittency and multifractal features, and the only difference lies in that the fluctuations of the B

T
and B

N
components have slight variations.
The Galactic Nova Rate: Estimates from the ASAS-SN and Gaia Surveys
Authors: Kawash A. , Chomiuk L. , Strader J. , Sokolovsky K. V. , Aydi E. , Kochanek C. S. , Stanek K. Z. , Kostrzewa-Rutkowska Z. , Hodgkin S. T. , Mukai K. , Shappee B. , Jayasinghe T. , Smith M. Rizzo , Holoien T. W.-S. , Prieto J. L. , Thompson T. A. 
Published: September 2022

Abstract
We present the first estimate of the Galactic nova rate based on optical transient surveys covering the entire sky. Using data from the All-Sky Automated Survey for Supernovae (ASAS-SN) and Gaia—the only two all-sky surveys to report classical nova candidates—we find 39 confirmed Galactic novae and 7 additional unconfirmed candidates discovered from 2019 to 2021, yielding a nova discovery rate of ≈14 yr−1. Using accurate Galactic stellar mass models and three-dimensional dust maps and incorporating realistic nova light curves, we have built a sophisticated Galactic nova model to estimate the fraction of Galactic novae discovered by these surveys over this time period. The observing capabilities of each survey are distinct: the high cadence of ASAS-SN makes it sensitive to fast novae, while the broad observing filter and high spatial resolution of Gaia make it more sensitive to highly reddened novae across the entire Galactic plane and bulge. Despite these differences, we find that ASAS-SN and Gaia give consistent Galactic nova rates, with a final joint nova rate of 26 ± 5 yr−1. This inferred nova rate is substantially lower than found by many other recent studies. Critically assessing the systematic uncertainties in the Galactic nova rate, we argue that the role of faint, fast-fading novae has likely been overestimated, but that subtle details in the operation of transient alert pipelines can have large, sometimes unappreciated effects on transient recovery efficiency. Our predicted nova rate can be directly tested with forthcoming red/near-infrared transient surveys in the southern hemisphere.
Factors affecting soil invertebrate biodiversity in agroecosystems of the Po Plain area (Italy)
Authors: Montagna Matteo , Brunetti Matteo , Spada Alberto , Cussigh Alex , Alali Sumer , Cremonesi Paola , Pizzi Flavia , Magoga Giulia , Marino Gallina Pietro 
Published: September 2022

Soil is a fundamental component of the biosphere, whose properties and quality are affected by human activities, such as agriculture. Soil health is fundamental for different ecosystem services and soil biota has a crucial role in maintaining it. Elucidating how different crops and agricultural practices affect soil invertebrates communities is of relevance. In the present study, a DNA metabarcoding approach was adopted to evaluate the effects of different biotic and abiotic factors, including agricultural practices, on the composition and diversity of soil invertebrate communities of different agro-ecosystems (Po Plain-Italy). At this aim, the DNA markers and the more effective primers in retrieving soil metazoan communities were established. Bulk soil samples from different agro-ecosystems (i.e., cornfield, alfalfa, paddy fields, vineyard, stable meadow, woodland) were collected and, processed for obtaining 18S rRNA and coi sequences (raw reads analyzed using QIIME2 and R). Soil physical and chemical parameters were measured for each soil sample (e.g., pH, carbon-nitrogen ratio, texture, porosity) and metadata on farms management were retrieved.
The most efficient primer pairs in recovering soil metazoans were M620F/M1260R for 18S rRNA, and mlCOIintF/jgHCO2198R for coi gene. Soil communities resulted dominated by Nematoda, Arthropoda, Annelida, Rotifera and Tardigrada. The most diverse invertebrate communities have been found in the soil of stable meadows and woodlands, while cornfields showed the lowest level of diversity. The diversity of soil invertebrate communities (Hill numbers) was positively correlated with the level of porosity and carbon-nitrogen ratio, while it was negatively correlated with the phosphate abundance. This pattern probably reflects the negative effect of excessive fertilization with phosphates on soil fauna, while the abundance of organic matter and microhabitats were found to enhance the presence of more complex communities. Other soil properties were correlated only with specific taxa (e.g., pH was negatively correlated with the diversity of Annelida and Rotifera).
Recruter en terrain paradoxal : le défi de la Légion étrangère
Authors: Henry Samuel 
Published: September 2022

La Légion étrangère recrute environ un millier de jeunes par an, avec un fort taux de sélectivité. Pour cela, elle doit rendre attractif un métier que l’on croit réservé à des hommes désespérés. C’est la mission paradoxale que détaille Samuel Henry, qui applique dans le domaine de la communication des principes éprouvés dans le métier des armes : effet de l’empathie, efficacité de la débrouillardise combinée à la puissance de feu, impératif de simplicité, approche top-down “à hauteur d’homme” et gestion des biais d’ancrage.
La cybersécurité, nouvelle fonction support des PME et des start-up
Authors: Monerau Michael 
Published: September 2022

Les chaînes de valeur dépendant de plus en plus du numérique, le rythme des cyberattaques s’accélère. Face à ce risque systémique, il faut désormais s’assurer de la bonne sécurisation de son environnement proche, en plus de celle de ses propres systèmes. C’est pourquoi les entreprises sont confrontées à de nouvelles exigences en matière de cybersécurité. Mais sans moyens dédiés suffisants, comment y faire face ? Quels sont les impacts sur la gestion des PME ? Qontrol leur propose une plateforme d’accompagnement sur la cybersécurité.
Comment bien choisir ses instruments d’évaluation et de formation à l’autodétermination ?
Authors: Fontana-Lana Barbara , Petitpierre Geneviève , Uhlig Andreas , Geurts Hélène , Haelewyck Marie-Claire , Lachapelle Yves 
Published: September 2022

L’importance de déployer des pratiques éducatives soutenant l’émergence et le maintien d’actions autodéterminées n’est plus à prouver. Le défi majeur pour l’ensemble des professionnels est actuellement celui de choisir les instruments adéquats, tant pour évaluer que pour former à l’autodétermination, selon les caractéristiques spécifiques des situations à accompagner. Cet article propose un ensemble de réflexions permettant de guider le choix d’un outil d’évaluation et/ou d’un support de formation de bonne qualité. Il présente aussi trois outils d’évaluation (l’échelle du LARIDI ; le Questionnaire de Choix et l’Inventaire de l’autodétermination) et trois programmes d’intervention (C’est l’avenir de qui après tout ; C’est Ma Vie. Je la choisis !; le Manuel de formation à l’autodétermination et à la participation citoyenne de la personne présentant une déficience intellectuelle) particulièrement intéressants et disponibles dans les régions francophones.
En chemin vers des formations accessibles. Analyse de deux formations inclusives
Authors: Gasparaux Justine , Merini Corinne , Thomazet Serge 
Published: September 2022

Cet article rend compte d’une recherche menée en collaboration avec l’association Trisomie 21 Alpes-Maritimes. L’étude qualitative menée auprès de deux organismes de formation nous a permis de confronter les formateurs à la vidéo de leurs séances, d’organiser des débats de métiers autour des points saillants extraits de cette première phase puis de cartographier l’écosystème dans lequel les deux formations prennent place. Ainsi, nous avons pu identifier la manière dont les formateurs rendent leurs enseignements inclusifs, facilitent l’accès aux noyaux de compétences visés par l’agencement des enseignements et l’interactivité dans lesquels prennent place les formations. Au-delà, nous avons pu cerner en quoi les normes de l’écosystème ordinaire peuvent constituer des freins à la promotion à l’autodétermination des stagiaires dans leur parcours formatif.
Vivre le handicap en établissement. Résonances en termes de sexualité et d’autodétermination ?
Authors: Boivin Julia , Fournier Jennifer 
Published: September 2022

D’un point de vue socio-historique, la question de l’accroissement d’un choix possible et d’une liberté est corrélative à celle de la sexualité. Les formes, expressions et normes sexuelles se sont largement multipliées et diversifiées. Pour autant, ces libertés (en termes de pratiques mais aussi de liberté de parole) ou ces choix en matière de sexualité sont-ils également accessibles à toutes et tous ? Qu’en est-il pour les personnes en situation de handicap qui sont accueillies en établissement et qui dépendent d’autres qu’elles-mêmes pour les gestes de la vie quotidienne ? Prenant appui sur la parole vivante des premiers et premières concernées, nous verrons quelles sont, de leur point de vue, les entraves qui persistent concernant l’autodétermination et l’accès à une sexualité.