Miracle-dz/UniFAR-FTUs huggingface dataset:
Message Relaying and Collaboration Motivating for Mobile Crowdsensing Service: An Edge-Assisted Approach

Group sensing is a kind of crowdsensing service where HD map producers motivate private cars in a local region to collect data from real world. Group sensing needs vehicles to communicate physically and drivers to collaborate strategically in a mobile or edge-assisted environment. First, we consider collaboration module that motivates drivers to be participants; centralized and distributed motivating methods are discussed. Secondly, we consider communication module; two VANET-based methods are proposed to achieve message relaying in edge infrastructure. To accomplish participants’ selection, three combinations of two modules are proposed and simulated based on a flexible framework. The results show that centralized selection could motivate collaboration at a low price but brings heavy communication overhead. Clustered selection requires more incentives and less communication overhead than centralized selection. Distributed selection is usually the first class choice because of its fine performances on both communicating and motivating.
An Automatic Regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using Sparse Data

X-ray tomography is a reliable tool for determining the inner structure of 3-D object with penetrating X-rays. However, traditional reconstruction methods, such as Feldkamp–Davis–Kress (FDK), require dense angular sampling in the data acquisition phase leading to long measurement times, especially in X-ray micro-tomography to obtain high-resolution scans. Acquiring less data using greater angular steps is an obvious way for speeding up the process and avoiding the need to save huge data sets. However, computing 3-D reconstruction from such a sparsely sampled data set is difficult because the measurement data are usually contaminated by errors, and linear measurement models do not contain sufficient information to solve the problem in practice. An automatic regularization method is proposed for robust reconstruction, based on enforcing sparsity in the 3-D shearlet transform domain. The inputs of the algorithm are the projection data and <italic>a priori</italic> known expected degree of sparsity, denoted as <inline-formula> <tex-math notation="LaTeX">$\textsf {0}< {\mathcal C}_{\textit {pr}}\leq \textsf {1}$ </tex-math></inline-formula>. The number <inline-formula> <tex-math notation="LaTeX">${\mathcal C}_{\textit {pr}}$ </tex-math></inline-formula> can be calibrated from a few dense-angle reconstructions and fixed. Human subchondral bone samples were tested, and morphometric parameters of the bone reconstructions were then analyzed using standard metrics. The proposed method is shown to outperform the baseline algorithm (FDK) in the case of sparsely collected data. The number of X-ray projections can be reduced up to 10% of the total amount 300 projections over 180° with uniform angular step while retaining the quality of the reconstruction images and of the morphometric parameters.
The Market Model

Definitions The official definitions are in the Nasdaq Nordic Member Rules (NMR). Automatic Order Matching The process in the order book whereby sell and buy orders are matched automatically when price, volume and other specifications for a given order correspond with order(s) previously entered in the order book. American Auction The equilibrium price is calculated to be the price where the volume that can be traded is maximized. The prices of the individual trades will however equal the individual bid prices, i.e. a multiple price auction. BBO Best Bid Offer of an order book. Buy Back An offer made by or on behalf of the issuer of an instrument admitted to trading to buy back all or part of the outstanding amount on conditions specified in the offer. Call Auction process to facilitate price formation with two distinct parts: the first part is an order management phase and the second part is a matching process for all eligible orders. The matching process is called an uncross (because it removes all orders with crossing prices). Call, Opening The Opening Call is the first call of the day and produces the first auto matched trades of the order book (if there are eligible orders available for matching). Dutch Auction The equilibrium price is calculated to be the price where the volume that can be traded (tradable volume) is maximized. The prices of the individual trades will equal the equilibrium price, i.e. single price auctions. Internal trade A manual trade between a Member and its client or between the Member's clients. Issuing An offer made by or on behalf of the issuer to issue an amount in a new bond or an additional amount in an existing bond (tap issue) on the conditions specified in the particular issue Limit Order A Limit order stipulates a maximum purchase price or minimum selling price. Market Order A market order is an order to sell or buy an instrument at the current market price. On Exchange Trade A trade that is automatically matched in the order book in accordance with the Nasdaq Nordic Member Rules or executed outside the order book in accordance with the Nasdaq Nordic Member Rules and reported to the exchange as a manual trade. The period during the Trading Session after the Trading hours, where orders can be cancelled, and in some markets order updates with no trade impact can be conducted. …
Perceived Importance of Information Needs on Breast Cancer among Adults: a Population-Based Survey in the District of Colombo, Sri Lanka

Background: Information needs of Breast Cancer (BC) and its perceived importance has not been adequately assessed in Sri Lanka. The present study aimed to assess cognitive information needs of BC among the adults. Methods: A household survey was conducted among a representative sample (n=1500) of over 18 years of age resident in the district of Colombo not having BC patients in the families. A validated interviewer-administered questionnaire collected information on general and cognitive information needs. Exploratory factor analysis assessed whether any of the aspects of informational needs are redundant and to group the needs. Results: Mean age of the participants was 37.21 (SD = ±9.7) years. Proportion of females was 51.7%, 82.9% were married and 44.1% had been educated up to General Certificate of Education (GCE) Ordinary Level. Exploratory factor analysis revealed all items of the questionnaire to form two groups that were named as “Factual information on BC prevention and early detection (screening and early diagnosis)” and “Factual information on BC diagnosis and treatment”. Results indicated that both groups of information needs were considered as highly important and the group “Factual information on BC diagnosis and treatment” (mean score 4.20 ± 0.75) was perceived as more important than the other group. The perceived importance of information needs was shown to be significantly different based on the sex of the adults, marital status, level of education and the employment status of the participants. Conclusion: This study demonstrates that cognitive information needs on BC are viewed as highly important by the general public. The study identified specific informational needs that are perceived as more important and some socio-demographic characteristics that are associated with higher perceived needs. The study recommends taking into account the findings of the study in designing the content and target groups for education on BC.
Fermented Foods as a Dietary Source of Live Organisms

The popularity of fermented foods and beverages is due to their enhanced shelf-life, safety, functionality, sensory, and nutritional properties. The latter includes the presence of bioactive molecules, vitamins, and other constituents with increased availability due to the process of fermentation. Many fermented foods also contain live microorganisms that may improve gastrointestinal health and provide other health benefits, including lowering the risk of type two diabetes and cardiovascular diseases. The number of organisms in fermented foods can vary significantly, depending on how products were manufactured and processed, as well as conditions and duration of storage. In this review, we surveyed published studies in which lactic acid and other relevant bacteria were enumerated from the most commonly consumed fermented foods, including cultured dairy products, cheese, fermented sausage, fermented vegetables, soy-fermented foods, and fermented cereal products. Most of the reported data were based on retail food samples, rather than experimentally produced products made on a laboratory scale. Results indicated that many of these fermented foods contained 105−7 lactic acid bacteria per mL or gram, although there was considerable variation based on geographical region and sampling time. In general, cultured dairy products consistently contained higher levels, up to 109/mL or g. Although few specific recommendations and claim legislations for what constitutes a relevant dose exist, the findings from this survey revealed that many fermented foods are a good source of live lactic acid bacteria, including species that reportedly provide human health benefits.
Micronucleus Assay of Buccal Mucosal Cells in Hairdressers: The Importance of Occupational Exposure

Background and objective: Today, the chemical materials available in hair dyes are considered risk factors for many cancers, particularly oral cancer. This study was performed to study the effect of occupational exposure on micronucleus (MN) frequency of buccal mucosa cells in hairdressers. Materials and methods: This historical cohort study was performed on 28 hairdressers and 28 control samples. To eliminate the gender variable, all the samples were women and they were matched by age. Buccal mucosa cells were removed using a wet spatula and after fixation, Papanicolaou staining method was applied. The percentage of the cells containing MN was registered. T-test was used to compare the results between the two groups. Results: The mean percentages of MN in buccal mucosa cells of hairdresser’s and control sample were 16.61±4.95 and 8.84±4.74, respectively, with a significant difference (P<0.001). In addition, higher MN mean percentage was reported in subjects working more than 60 hours weekly compared with those working 60 hours and less; however, the difference was not statistically significant (P=0.14). Conclusion: In the present study, hairdressers demonstrate significantly higher average of MN in buccal mucosa cells. Also, it seems increment in their working time can increase MN frequency in these studied samples.
INCEpTION: Interactive machine-assisted annotation

The demand for high-quality annotated text corpora in science and industry has sky-rocketed over the past years. To address this need, we introduce INCEpTION,1 a web-based platform for efficient text annotation. The platform generically supports use cases that require span or relation annotations as well as entity and fact linking. To the best of our knowledge, INCEpTION is the first text annotation platform that integrates interactive annotation support, knowledge management and offers extensibility. Annotation support. To minimize the required human effort and to increase annotation speed and quality, possible annotations are suggested by machine learning algorithms, so-called recommenders. When the user accepts, rejects or corrects these suggestions, this feedback is used to update the recommender model in the background. This interactive process creates a tight feedback loop between human and machine which continually provides better suggestions. A non-obtrusive active learning mode can be used to navigate the suggestions in the order of the largest estimated improvement in recommendation quality. State-of-the art generic annotation tools only support static pre-annotations or manual intervention to trigger re-training, making INCEpTION the first generic tool to offer interactive annotation support. Knowledge management. INCEpTION supports entity and fact linking with knowledge bases (KB), a common requirement for tasks like cross-document text discovery/exploration or knowledge base population/completion. Recommendation support is also implemented for entity linking: for existing named entity annotations, suitable KB entries to link with are suggested. When annotating new named entities, auto-completion with contextual re-ranking facilitates finding the right entity, even for very large knowledge bases like Wikidata. While some existing applications also support entity and fact linking, editing knowledge bases often can only be performed in a different tool. Integrating knowledge management in INCEpTION enables performing KB population and KB completion tasks during the annotation process. Extensibility. By using an open and extensible architecture, INCEpTION aims to induce a shift from implementing new annotation tools for new corpus projects towards adding project-specific functionality through customization. INCEpTION provides many extension points where custom Java code can easily be called through events or dependency injection. Additionally, web-service APIs are provided, e.g. in order to support external annotation web services as custom recommenders. The latter allows users to reuse already trained machine learning models, even in different programming
Retrofitting Diagnostic Classification Models to Responses From IRT-Based Assessment Forms

Developing a diagnostic tool within the diagnostic measurement framework is the optimal approach to obtain multidimensional and classification-based feedback on examinees. However, end users may seek to obtain diagnostic feedback from existing item responses to assessments that have been designed under either the classical test theory or item response theory frameworks. Retrofitting diagnostic classification models to existing assessments designed under other psychometric frameworks could be a plausible approach to obtain more actionable scores or understand more about the constructs themselves. This study (a) discusses the possibility and problems of retrofitting, (b) proposes a step-by-step retrofitting framework, and (c) explores the information one can gain from retrofitting through an empirical application example. While retrofitting may not always be an ideal approach to diagnostic measurement, this article aims to invite discussions through presenting the possibility, challenges, process, and product of retrofitting.
La transition des jeunes femmes hors des centres de réadaptation : mieux comprendre le rôle de l’agression sexuelle sur des mineures et des symptômes liés au trauma

Cet article souhaite apporter une contribution a l’etude des symptomes lies au trauma observes au debut de l’âge adulte chez des jeunes femmes ayant ete placees en centre de readaptation au cours de l’adolescence et qui ont ete victimes d’agression sexuelle avant l’âge de 18 ans. En vue de mieux comprendre l’experience de l’agression sexuelle, les impacts d’un certain nombre de caracteristiques ont ete etudies : la severite et la diversite de l’experience de l’agression sexuelle, la frequence et la chronicite de l’agression sexuelle, la familiarite avec l’agresseur et l’âge a la premiere survenue de l’agression sexuelle. Methode : L’echantillon est compose de 133 jeunes femmes adultes qui ont ete placees en centre de readaptation a l’adolescence. L’agression sexuelle a ete evaluee retrospectivement a l’aide d’une version adaptee du questionnaire sur l’agression sexuelle developpe par Finkelhor, Hotaling, Lewis et Smith (1990). Les symptomes lies au trauma ont ete evalues a l’aide de l’Inventaire des symptomes lies au trauma-2 (Briere, 2011). Resultats : Les jeunes femmes ayant vecu une agression sexuelle presentent des niveaux plus eleves de symptomes lies au trauma que celles qui n’ont pas ete agressees sexuellement. De plus, les jeunes femmes ayant signale une gravite (viol), une diversite et une persistance (chronicite) plus importantes d’agressions sexuelles, montrent des niveaux eleves de symptomes lies au trauma. Ces symptomes se manifestent par des pensees intrusives, des problemes d’attachement et de l’evitement defensif. Les differences observees quant a la frequence, a l’identite de l’agresseur et a l’âge de la survenue des agressions sexuelles sont moins discriminantes en ce qui concerne les symptomes lies au trauma. Conclusion : L’analyse des caracteristiques des agressions sexuelles confirme la necessite d’aider les femmes ayant vecu des experiences persistantes et diverses d’agression sexuelle afin qu’elles puissent creer des relations fondees sur un sentiment de securite.
Characterization of the Proliferating Layer Chondrocytes of Growth Plate for Cartilage Regeneration.

IMPACT STATEMENT In recent years, cell-based therapy is a promising strategy for repairing defect cartilage. However, in vitro expansion of articular chondrocytes (ACs) for collecting enough cell numbers eventually develops cell de-differentiation. In the present study, we choose the proliferative layer chondroctytes (PLCs) of growth plate as new candidate. The novel findings include (1) the higher proliferation potential of PLCs in comparison with the ACs, (2) PLCs produced more GAG than ACs, (3) the increased in GAG matrix production, (4) and lower senescence in PLCs. From these results, we found PLCs might be suitable as cell source for cartilage regeneration.
WASP: Web Archiving and Search Personalized

Logging and re-finding the information we encounter every day while browsing the web is a non-trivial task that is, at best, inadequately supported by existing tools. It is time to take another step forward: we introduce WASP, a fully functional prototype of a personal web archive and search system, which is available open source and as an executable Docker image. Based on the experiences and insights gained while designing and using WASP, we outline how personal web archive and search systems can be implemented, discuss what technological and privacy-related challenges such systems face, and propose a setup to evaluate their effectiveness. As a key insight, we argue that the indexing and retrieval for a personal archive search can be strongly tailored towards a specific user and their behavior on the visited pages compared to regular web search.
Disorganisation, thought disorder and socio-cognitive functioning in schizophrenia spectrum disorders.

BACKGROUND Poor social cognition is prevalent in schizophrenia spectrum disorders. Some authors argue that these effects are symptom-specific and that socio-cognitive difficulties (e.g. theory of mind) are strongly associated with thought disorder and symptoms of disorganisation.AimsThe current review tests the strength of this association. METHOD We meta-analysed studies published between 1980 and 2016 that tested the association between social cognition and these symptoms in schizophrenia spectrum disorders. RESULTS Our search (PsycINFO, MEDLINE and Web of Science) identified 123 studies (N = 9107). Overall effect size as r = -0.313, indicating a moderate association between symptoms and social cognition. Subanalyses yielded a moderate association between symptoms and theory of mind (r = -0.349) and emotion recognition (r = -0.334), but smaller effect sizes for social perception (r = -0.188), emotion regulation (r = -0.169) and attributional biases (r = -0.143). CONCLUSIONS The association is interpreted within models of communication that highlight the importance of mentalisation and processing of partner-specific cues in conversational alignment and grounding.Declaration of interestsNone.
Depth Up-Sampling via Pixel-Classifying and Joint Bilateral Filtering

In this paper, a depth image up-sampling method is put forward by using pixel classifying and jointed bilateral filtering. By analyzing the edge maps originated from the high-resolution color image and low-resolution depth map respectively, pixels in up-sampled depth maps can be classified into four categories: edge points, edge-neighbor points, texture points and smooth points. First, joint bilateral up-sampling (JBU) method is used to generate an initial up-sampling depth image. Then, for each pixel category, different refinement methods are employed to modify the initial up-sampling depth image. Experimental results show that the proposed algorithm can reduce the blurring artifact with lower bad pixel rate (BPR)
Le GÉVA Sco. Entre suivi personnalisé et harmonisation des pratiques évaluatives

De nos jours, les usagers sont pousses a participer a l’evaluation de leurs propres besoins. Cette participation s’inscrit dans les demandes relatives au droit a la compensation en matiere d’acces a l’ecole des eleves reconnus handicapes par les MDPH. Le GEVA Sco, guide d’aide a l’evaluation des besoins de ces eleves, s’inscrit dans une logique d’optimisation du suivi personnalise par l’harmonisation des decisions au niveau national. Cet article, tire d’une recherche portant sur cet outil, donne a voir les differents registres mobilises et leurs reagencements lies a son apparition afin de decider l’attribution des aides a destination des eleves handicapes. Les resultats montrent que le jugement rendu et le sentiment de justice s’appuient sur l’articulation de dimensions subjectives, fondees sur l’empathie, avec d’autres objectives, presentes dans les differents bilans et diagnostics.
Accuracy of Pulse Oximetry-Based Home Baby Monitors

Methods | We purchased the only 2 currently marketed smartphone-integrated consumer baby monitors that use pulse oximetry, the Owlet Smart Sock 2 (consumer monitor A) and Baby Vida (consumer monitor B). We enrolled infants aged 0 to 6 months hospitalized in general pediatrics and cardiology wards at the Children’s Hospital of Philadelphia from July through December 2017. Infants were excluded if born before 34 weeks’ gestation, critically ill, anemic (hemoglobin <10 g/dL), febrile (≥38.0°C), hypothermic (<36.0°C), hypotensive (systolic blood pressure <60 mm Hg if 0-28 days old or <70 mm Hg if 29 days–6 months old), or had compromised perfusion. Written informed consent was obtained from infants’ parents. The Children’s Hospital of Philadelphia’s institutional review board approved the study. On 1 foot, infants were monitored using a Masimo Radical-7 with 16-second averaging (reference monitor). Each consumer monitor was applied to the other foot of all infants in a random sequence for 60 minutes while asleep or awake and calm. We identified “stable” paired reference monitor– consumer monitor points that met criteria: (1) for the reference monitor, during the prior 30 seconds, oxygen saturation (SpO2) varied by 1 percentage point or less in either direction for SpO2 comparisons or pulse rate varied by 5 beats/min or less in either direction for pulse rate comparisons and (2) for the consumer monitor, during the prior 30 seconds, no dropout (defined as failure to display a value). To minimize ascertainment bias, we randomly selected up to 10 stable points per patient for analysis. We generated scatterplots and calculated sensitivity and specificity for hypoxemia (SpO2 <91%)5 and bradycardia (pulse rate <90 beats/min),6 accounting for