bluuebunny/crossref_metadata_2025_split huggingface dataset:
Direction-dependent Corrections in Polarimetric Radio Imaging. III. A-to-Z Solver—Modeling the Full Jones Antenna Aperture Illumination Pattern
Authors: Sekhar Srikrishna , Jagannathan Preshanth , Kirk Brian , Bhatnagar Sanjay , Taylor Russ 
Published: January 2022

Abstract
In this third paper of a series describing direction-dependent corrections for polarimetric radio imaging, we present the the A-to-Z solver methodology to model the full Jones antenna aperture illumination pattern (AIP) using Zernike polynomials. In order to achieve accurate, thermal noise-limited imaging with modern radio interferometers, it is necessary to correct for the instrumental effects of the antenna primary beam (PB) as a function of time, frequency, and polarization. The algorithm employs the orthonormal, circular Zernike polynomial basis to model the full Jones AIP response, which is obtained by a Fourier transform of corresponding antenna holography measurements. These full Jones models are then used to reconstruct the full Mueller AIP response of an antenna, in principle accounting for all the off-axis frequency-dependent leakage effects of the PB. The A-to-Z solver is general enough to accommodate any interferometer for which holographic measurements exist, and we have successfully modeled the AIP of the VLA, MeerKAT, and ALMA as a demonstration of its versatility. We show that our models capture the PB morphology to high accuracy within the first two side lobes, and show the viability of full Mueller gridding and deconvolution for any telescope given high-quality holographic measurements.
An Analytic Model for the Subgalactic Matter Power Spectrum in Fuzzy Dark Matter Halos
Authors: Kawai Hiroki , Oguri Masamune , Amruth Alfred , Broadhurst Tom , Lim Jeremy 
Published: January 2022

Abstract
Fuzzy dark matter (FDM), a scalar particle coupled to the gravitational field without self-interaction, whose mass range is m ∼ 10−24–10−20 eV, is one of the promising alternative dark matter candidates to cold dark matter. The quantum interference pattern, which is a unique structure of FDM, can be seen in halos in cosmological FDM simulations. In this paper, we first provide an analytic model of the subgalactic matter power spectrum originating from quantum clumps in FDM halos, in which the density distribution of the FDM is expressed by a superposition of quantum clumps whose size corresponds to the de Broglie wavelength of the FDM. These clumps are assumed to be distributed randomly, such that the ensemble average density follows a halo profile such as the Navarro–Frenk–White profile. We then compare the convergence power spectrum projected along the line of sight around the Einstein radius, which is converted from the subgalactic matter power spectrum, to that measured in the strong lens system SDSS J0252 + 0039. While we find that the current observation provides no useful constraint on the FDM mass, we show that future deep, high spatial resolution observations of strong lens systems can tightly constrain FDM with a mass around 10−22 eV.
Comparison of Long-term Stereoacuity Improvement Between Patients With Initial Subnormal Stereopsis and Nil Stereopsis in Refractive Accommodative Esotropia
Authors: Mohan Kanwar , Sharma Suresh Kumar 
Published: January 2022

Purpose:
To compare improvement in long-term stereoacuity between patients with refractive accommodative esotropia (RAET) with initial subnormal stereopsis (between 120 and 1,980 arcsec of stereoacuity) and nil stereopsis.

Methods:
The medical records of patients 4 years and older who had RAET with initial subnormal stereopsis and nil stereopsis and a minimum follow-up period of 5 years were retrospectively reviewed. Improvement in stereoacuity at the last follow-up visit and the factors that could influence it were compared between the initial subnormal stereopsis and the nil stereopsis groups.

Results:
A total of 79 patients (mean age: 6.3 ± 1.9 years) were included: 31 patients with initial subnormal stereopsis and 48 patients with nil stereopsis. The mean follow-up time was 11.7 ± 1.8 years (range: 5 to 21 years). At the last follow-up visit, a statistically significantly greater number of patients with initial subnormal stereopsis demonstrated improvement in stereoacuity and also achieved 60 arcsec of stereoacuity compared with those with nil stereopsis. Age at onset, duration of esodeviation, mean hyperopia, amblyopia, anisometropia, and follow-up duration were not significantly different between the initial subnormal stereopsis and the nil stereopsis groups. The initial mean near and distance deviations with hyperopic correction were significantly smaller in patients with initial subnormal stereopsis. A significantly greater number of patients with initial sub-normal stereopsis had fusion at distance.

Conclusions:
Patients with RAET with initial subnormal stereopsis have greater chances of stereoacuity improvement and recovery of 60 arcsec of stereoacuity than those with nil stereopsis. Patients who initially have nil stereopsis may develop normal stereoacuity. Smaller initial deviations with hyperopic correction and fusion at distance indicate a favorable prognosis for stereoacuity improvement.

[
J Pediatr Ophthalmol Strabismus
. 2022;59(4):248–253.]
Classe inversée en sciences de la vie et de la Terre. Des difficultés spécifiques au dispositif ?
Authors: Brederode Marion van 
Published: January 2022

Cet article étudie la mise en œuvre d’un dispositif de classe inversée par une enseignante dans le cadre d’un enseignement sur la digestion chimique des aliments chez l’être humain en classe de cinquième. Une séance a été filmée, les productions des élèves et les supports de travail collectés, les interactions entre les élèves, qui travaillent en groupes, enregistrés et transcrits, puis des entretiens semi-directifs d’auto-confrontation aux traces de leur activité ont été menés avec l’enseignante et les élèves. L’analyse de ce corpus est cadrée par des appuis théoriques empruntés à la sociologie des apprentissages scolaires et à la didactique, notamment la didactique des sciences de la vie et de la Terre. Elle montre que la pratique ici définie par l’enseignante comme « classe inversée » ne résout pas, malgré son intention de le faire, certains des obstacles auquel l’enseignement traditionnel est confronté. D’une part, le choix de la capsule et son articulation avec les autres éléments du cours relèvent de questionnements autour des supports pédagogiques, dont il convient d’étudier les effets (éventuellement perturbateurs) sur les apprentissages des élèves. D’autre part, le recours au travail de groupe est pensé par l’enseignante comme lui donnant la possibilité de pouvoir superviser le travail de ses élèves en classe. Or, l’analyse montre que cette visée n’est pas vraiment atteinte : d’abord, du fait d’une inégale articulation de la modalité avec les savoirs visés, et ensuite, du fait des difficultés, pour l’enseignante, à repérer, et au moment propice, les malentendus que certains élèves développent à propos des visées du travail.
Quels outils d’aide à la réussite pour quels profils d’apprenants dans un MOOC hybride ?
Authors: Boumazguida Karim , Temperman Gaëtan , Lièvre Bruno De 
Published: January 2022

Dans cette contribution, nous nous intéressons à la performance des inscrits dans un MOOC hybride élaboré en Belgique francophone. Pour ce faire, nous analysons les traces d’apprentissage des apprenants recueillies dans le MOOC. Nous évaluons leur progression entre un pré-test et un post-test et analysons les différentes variables (visionnage de vidéos, échanges sur les outils communicationnels, participation aux quiz, etc.) liées au processus d’apprentissage susceptibles d’influencer celui-ci. Si globalement les apprenants ont progressé, nos résultats ne nous ont pas permis d’identifier de facteurs spécifiques expliquant leur niveau de maîtrise. Nos analyses de catégorisation nous ont toutefois permis de dégager trois profils distincts d’apprenants selon leur utilisation autonome des ressources proposées dans le MOOC hybride et leurs performances : les « non-engagés », les « engagés modérés » et les « peu engagés communicants ».
Les représentations des étudiants tuteurs en masso-kinésithérapie sur le dispositif de tutorat entre pairs
Authors: Dabo Cédric , Connac Sylvain 
Published: January 2022

Le tutorat entre pairs est un dispositif d’aide entre étudiants présent dans différents cursus. Cette recherche se focalise sur le tutorat entre étudiants dans le domaine de la masso-kinésithérapie (MK). Celui-ci est basé sur le volontariat des étudiants tuteurs en MK. L’objectif de cette étude est de comprendre quelles sont les représentations du tutorat chez l’étudiant tuteur en MK. Une méthodologie basée sur une approche phénoménologique par triangulation a été mise en place. Des entretiens semi-directifs d’étudiants tuteurs et d’étudiants tutorés ont été réalisés, et des lettres de motivation d’étudiants tuteurs, leur ayant permis de candidater pour devenir tuteur, ont été analysées. Les résultats de cette étude permettent de constater que les étudiants tuteurs en MK se représentent le tutorat comme un dispositif aux multiples fonctions : dispositif d’aide, dispositif d’enseignement, dispositif de révision, dispositif relationnel privilégié et dispositif d’échange de services. Ces représentations conduisent à distinguer le tutorat entre étudiants d’autres dispositifs d’aide ou d’accompagnement tels le monitorat, le mentorat, le compagnonnage et le parrainage. Enfin cette étude permet de souligner les caractéristiques essentielles et les intentions pédagogiques premières du tutorat entre pairs.
Tendances et évolution des recherches sur la classe inversée en Chine et dans le monde
Authors: Zhang Hui , Zhang Mengqi 
Published: January 2022

La classe inversée, apparue dans le système scolaire et universitaire chinois en 2011, y a reçu un bon accueil. Cet article présente, à partir d’une étude bibliométrique, les grandes tendances de la recherche anglophone et sinophone sur la question, entre 2010 et 2020. Il s’agit d’abord, dans ces travaux scientifiques, de décrire les éléments innovants : pour ce qui est des outils, recours aux technologies numériques, supports multimédias ; pour ce qui est de la pédagogie, centration sur les apprenants, apprentissage par l’activité, souvent coopérative, distinction entre tâches de bas niveau, réalisées avant le cours, et tâches de haut niveau, notamment de résolution de problèmes, réalisées pendant le cours. Une partie des recherches recensées évaluent, au moyen de méthodes diverses, les effets sur les apprentissages et les performances scolaires, la construction de l’autonomie, les capacités de réflexion critique et de travail en équipe. L’article montre aussi comment les travaux scientifiques sur la question croisent différentes disciplines de recherche, quelles sont les spécificités selon les domaines abordés, et les grandes tendances des évolutions récentes, notamment en Chine : étude des caractéristiques locales et de la diversification des formes d’inversion, mais aussi attention portée aux limites de ces pédagogies et relativisation de leur caractère innovant.
The parasitoid complex of diamondback moth, Plutella xylostella (Linnaeus) (Lepidoptera: Plutellidae), in Canada: impact and status
Authors: Mason Peter G. , Dancau Tina , Abram Paul K. , Noronha Christine , Dixon Peggy L. , Parsons Carolyn K. , Bahar M.H. , Bennett Andrew M.R. , Fernández-Triana José , Brauner Andrea M. , Clarke Peggy , Thiessen Jason , Gillespie David R. , Haye Tim 
Published: January 2022

Abstract
Diamondback moth, Plutella xylostella (Linnaeus) (Lepidoptera: Plutellidae), a globally important pest of Brassicaceae crops, migrates into all provinces of Canada annually. Life tables were used to determine the mortality levels contributed by the parasitoid complexes associated with diamondback moth in British Columbia, Ontario, Prince Edward Island, and insular Newfoundland. Overall, diamondback moth populations showed high generational mortality (> 90%) in all provinces, although parasitism levels were generally low. The net reproductive rate of increase in diamondback moth was less than 1.0 (populations declined) in both years in British Columbia and in each of two years in Newfoundland and Ontario, but it was greater than 1.0 in all three years in Prince Edward Island. Lower parasitism levels were found in Prince Edward Island (3.0–6.3%) compared with other provinces (8.4–17.6%, except one year in British Columbia). Diadegma insulare was the main larval parasitoid found; it was present in all provinces. Microplitis plutellae was present in all provinces except British Columbia. Oomyzus sokolowskii was found in British Columbia and Ontario. The parasitoid community documented from sentinel sampling was less diverse than that found through destructive sampling. Hypotheses are provided to explain the presence of major parasitoids. Increasing larval parasitism would have the largest effect on diamondback moth population growth in Canada.
Adverse events associated with AXIOS stents
Authors: Ramai Daryl , Facciorusso Antonio , DeLuca Matthew , Barakat Monique , Adler Douglas G. 
Published: January 2022

ABSTRACT

Background and Objectives:
The AXIOS stent is indicated for transgastric or transduodenal drainage of symptomatic pancreatic pseudocysts and symptomatic walled off necrosis. The AXIOS stent functions as a conduit which allows solid and liquid pancreatic fluid collections (PFC) contents to pass into the luminal GI tract and also allows the passage of standard and therapeutic endoscopes into the PFC to perform endoscopic debridement. We aim to investigate the number and type of complications associated with AXIOS stents.

Materials and Methods:
We analyzed postmarketing surveillance data from the Food and Drug Administration Manufacturer and User Facility Device Experience (MAUDE) database January 2016 to February 2021.

Results:
During the study period, approximately 588 reports with 579 device issues and 250 patient complications were identified. Most device complications were due to stent positioning problems or stent malpositioning (n = 206; 35.6%), followed by stent migration (n = 72; 12.4%), premature deployment (n = 61; 10.5%), material integrity (n = 56; 9.6%), deployment failure (n = 47; 8.1%), and difficulty removing the stent (n = 45; 7.7%). The most reported patient adverse events were hemorrhage/bleeding (n = 81; 32.4%), perforation (n = 26; 10.4%), pain (n = 22; 8.8%), unspecified infection (n = 20; 8.0%), and death (n = 17; 6.8%).

Conclusions:
Findings from the MAUDE database highlight patient and device complications which endoscopists should be aware of before AXIOS stent placement.
Exotic venomous snakebites in Switzerland reported to the National Poisons Information Centre over 22 years
Authors: Fuchs Joan , Gessner Tim , Kupferschmidt Hugo , Weiler Stefan 
Published: January 2022

OBJECTIVE: The private keeping of exotic venomous snakes is legally permitted in Switzerland. The aim of the present study was to characterise the epidemiological and clinical features of bites by exotic venomous snakes over a period of 22 years in Switzerland.
METHODS: We included all calls related to exotic snakebites recorded at the Swiss National Poisons Information Centre (Tox Info Suisse) from 1997 to 2018. Exclusion criteria comprised indigenous snakes, non-venomous exotic snakes such boas or pythons, clinical courses incompatible with a snakebite or calls from abroad. Follow-up information was graded according to the Poisoning Severity Score.
RESULTS: Within the study period, 1,364 calls related to snakebites were recorded at Tox Info Suisse; 148 (11%) cases were attributed to exotic venomous snakes and fulfilled the study criteria. A total of 112 (98%) of 114 patients with medical follow-up information exhibited sufficient causality between exposure and clinical effects. Only adult patients were affected. The median age was 40 years (range 16–71) and the male gender was predominant (n = 136, 92%). Viperidae were involved in 87 (78%) and Elapidae in 25 (22%) patients. Overall, the main affected body part was the hand (89 patients, 79%). In the majority of the patients the clinical course was mild (46, 41%) or moderate (40, 36%), in a lower proportion asymptomatic (6, 5%) or with severe symptoms (20, 18%). No fatalities were reported in the study period. Severe symptoms were observed after elapid bites in six patients (24%) and after viper bites in 14 patients (16%). Besides local effects, neurological disorders after elapid bites and haematological disorders after viper bites were most frequently reported. Antivenom was administered in 24% (27 patients: 18 Viperidae, 21% and 9 Elapidae, 36%; 5 patients (4%) required multiple doses), overall, with good resolution of symptoms.
CONCLUSION: Exotic snakebite is a rare occurrence in Switzerland but has led to medically relevant morbidity, sometimes requiring antivenom treatment. Over half of the envenomed patients required symptomatic or specific treatment. No fatalities or bites in children were reported.
High SARS-CoV-2 seroprevalence but no severe course of COVID-19 disease among people on opioid agonist treatment in Zurich: a cross-sectional study
Authors: Bruggmann Philip , Senn Oliver , Frei Anja , Puhan Milo A. , Fehr Jan , Falcato Luis 
Published: January 2022

BACKGROUND AND AIMS: Among people on opioid agonist treatment (OAT), social-environmental and behavioural risk factors may promote the spread of SARS-CoV-2, and somatic comorbidities are highly prevalent. Thus, this population is considered at elevated risk for being infected as well as for developing a more severe course of COVID-19 disease. The aim was to assess the SARS-CoV-2 seroprevalence among people in ongoing OAT, to explore whether the antibody positive group differed from the antibody negative group, and to compare the SARS-CoV-2 seroprevalence among OAT patients with the prevalence in the regional general population.
METHODS: The nationwide Corona Immunitas study assessed the participants’ Sars-CoV-2 antibody status, social characteristics and behavioural data after the first wave of the corona pandemic in Switzerland, between the end of June and beginning of September 2020. We analysed the subsample of OAT patients (n = 122) and the subsample from the general population of the canton of Zurich (n = 472).
RESULTS: SARS-CoV-2 seroprevalence in the general population (mean age ± standard deviation 44.7 ± 11.7 years; 50.9% female) was 3.5% (95% confidence interval [CI] 2.2–4.8%) vs 9.8% (5.1–17.2%) in the OAT population age 44.3 ± 9.4 years; 30.3% female), corresponding to a prevalence ratio of 2.9 (95% CI 1.37–5.94; p = 0.004). OAT patients had a significantly worse health status than the general population. In the OAT group, we found no significant difference between seropositive and seronegative individuals regarding socioeconomic status, risk behaviour, COVID-19-related symptoms or comorbidity. None of the OAT patients who tested positive had a severe course of COVID-19.
CONCLUSION: The 3-fold higher seroprevalence suggests a higher than average viral exposure in the OAT group. Nevertheless, no severe COVID-19 course occurred, although the number of study participants was relatively small. One possible reason for this could be possible cross-immunity to SARS-CoV-2 due to frequent viral contacts in OAT patients.
ISRCTN Registry: http://www.isrctn.com/ISRCTN18181860
Network Traffic Classification Using Feature Selections and two-tier stacked classifier
Authors: Adhao Rahul , Pachghare Vinod 
Published: January 2022

The datasets available for IDS performance evaluations are noisy and highly imbalanced. The noisiness of the dataset can be reduced with dataset pre-processing and feature selection approach. These datasets contain many records for some class labels (e.g., DoS, DDoS, Port Scan: majority attacks) and very few records for other class labels (e.g., U2R, R2L: minority attacks), making it imbalanced. Applying a single machine learning algorithm (classifier) on such datasets confuses the classifiers. The classifier becomes biased towards majority attack records and may fail to detect minority attacks. One possible solution to reduce these class imbalances of the dataset is to divide this dataset in terms of majority and minority attacks. The proposed approach divides the dataset into majority and minority groups to solve the issue raised by the imbalance dataset and uses two-tier classification approaches to classify majority and minority attacks. The CICIDS2017 dataset and NSL-KDD dataset are used for the evaluation of the proposed system. The proposed system gives an accuracy of 98.30% for the CICIDS 2017 dataset and 99.71% for the NSL-KDD dataset. The model’s performance is explored in terms of precision, accuracy, and F1 score, which has been observed to be superior to existing works in the field of intrusion detection.
Research on Face Intelligent Perception Technology Integrating Deep Learning under Different Illumination Intensities
Authors: Yang Yanqing , Song Xing 
Published: January 2022

Aiming at the problem of face recognition under different illumination intensities combined with deep learning algorithm, this research designs a new loss function, i-center loss function and integrates the structure of migration learning algorithm on the basis of LeNets++ deep learning network. The face image data set labled faces in the wild with different illumination intensities and the image data set of supermarket monitoring system are used to train and test the improved LeNets++ deep learning network based on softmax, center and i-center loss function, and a variety of common image recognition networks. The calculation results show that although the amount of data required for the training of LeNets++ deep learning network is much larger than other networks selected in the study, when the loss function is changed to i-center, the accuracy of face image recognition under different light intensities is significantly improved, reaching 99.65%. In the supermarket data set, the maximum face recognition rate of the algorithm using i-center loss function is 99.07%, which is 0.21% and 0.6% higher than that of using center softmax and softmax loss function, respectively. Therefore, experiments show that the improved deep learning neural network based on i-center loss function can improve the effect of face recognition under different illumination intensities.

Received: 17 November 2021 | Revised: 10 December 2021 | Accepted: 19 December 2021

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.