Miracle-dz/UniFAR-FTUs huggingface dataset:
EXERCISE EFFECTS ON CHILDREN'S HEALTH

KEY POINTS 1) The appropriate amount of exercise (neither too little nor too much) is presumably important in the healthful growth and development of children. 2) Many young children and adolescents who are obese, have elevated blood lipid levels, or exhibit other risk factors for cardiovascular disease that may be ameliorated by an appropriate exercise program. These children should be identified early so that suitable education and intervention programs may be planned; public and private schools are proper venues to help children initiate a healthy lifestyle. 3) No sport is risk-free, but sports-related injuries may be minimized with proper preparticipation screening, supervision, regulations, and equipment. 4) Children in weight-dependent sports such as gymnastics may be vulnerable to eating disorders and related consequences, such as premature loss of bone mass.
Necessary and Sufﬁcient Conditions for Actual Root Causes

Reasoning about actual causes of an observed effect is fundamental to many applications. Batusov and Soutchanski (2018) recently presented a ﬁrst-order logic approach to compute actual causes. Built on a formal theory of action and change, namely the situation calculus, their approach is quite expressive, as it can be used to determine the causes of quantiﬁed effects. However, their approach does not ﬁnd causes from a counterfactual perspective, nor does it link with the regularity approach to causation. This paper proposes a new analysis of actual achievement causes in the situation calculus. We study the natural properties that are necessary for actual causes and conditions that are sufﬁcient for the achievement of an observed (possibly quantiﬁed) effect. We identify a property that is both necessary and sufﬁcient for actual achievement causes. This is one of our main contributions. Our discussion leads to a new deﬁnition of actual achievement causes that includes the root cause together with a chain of relevant events. We show when our deﬁnition is closely related to the recent one proposed by Batusov and Soutchanski (2018).
WHO EMRO | Influenza pandemic preparedness in the World Health Organization Eastern Mediterranean Region

Results: We found that the response from EMR countries was minimal and scientific papers published were limited. Moreover, most of those papers studied the preparedness plan partially by focusing on one or more elements such as infection control measures and vaccines, or were directed to certain populations such as health workers. Continuous active surveillance is ignored in most of the countries although it was the most important lesson learned from the pandemic.
Developing a Framework on Performance and Challenges of Strategic Management Information System: A Case study on Ministry of Interior, UAE

This paper focuses on understanding the concept of information system (IS), information technology (IT), Strategic management information system (SMIS), the need for SMIS, the challenges of SMIS in implementation and the relevant models. Thus, this study proposes an integrated framework for the Performance and Challenges of Strategic Management Information System in the Ministry of interior, UAE. Undoubtedly, organizations are largely depending on information system now a days due to the advancement of information technologies. Public organizations should adopt their strategies to achieve their missions, but in the long run they face a myriad of challenges that threaten the fulfilment of this mission or the implementation of successful strategies in accordance with this mission. UAE also moving forward towards vision 2021. Implementing information technology strategically is very crucial for achieving these goals. Based on the literature, having a strategic planning system in place is not a guarantee that an organization will achieve its strategic goals and objectives. It is important to evaluate the strategic planning process involved and how it is linked to other management processes in an organization. This paper uses secondary data sources to analyse the existing literature and for deep understanding of concepts, trends and models. The expected results of the study will be helpful for the practitioners, academia, researchers, government officials and regulators.
HiER 2013

This talk will give an overview over three related research prototypes for ambient interactive systems. We start by introducing NEMO, the Network Environment for Multimedia Objects. NEMO is a smart media environment for semantically rich, personalised, and device-specific access to and interaction with multimedia objects. Next, a shared electronic whiteboard called ShareBoard is decribed. The goal of ShareBoard is to deliver a natural user interface to working with electronic whiteboards. Integrated within Share-Board are input devices to recognise the movement of users in the surrounding space and for sensing 3D-gesture. ShareBoard can make use of media objects in NEMO. Last, we introduce the Modular Awareness Construction Kit. MACK is a framework for developing context aware, ambient intelligent systems that blend seamlessly with the users’ everyday route, enabling unobtrusive in-situ interaction and facilitating enhanced cooperation and communication. In the future, MACK is to deliver contextual information to both NEMO and ShareBoard.
Line Segment Convolution

 Abstract — An alternate method for the convolution of two functions is presented in which those functions can be described in terms of completely arbitrarily, non-uniform sampled ranges. The approach treats the functions as being defined by the linear segments between sampling points rather than the points themselves, and calculates a result using an analytic solution of the convolution of two finite line segments. It is observed that the approach can provide computational savings in circumstances where the non-uniform range specifications enable the functions to be adequately described with fewer sampling points.
A Review of the Media Impact on Public Policy Process in China: The Failure of "Traditional Media Framework" and the Absence of "Social Media Framework"

The times are in the midst of change. The media has gradually changed its social form through the gradual influence of policies. The impact of the traditional media on all stages of the public policy process has not yet been thoroughly analyzed. Social media has already launched a "color revolution" in the world and has influenced the "American election. " In the face of change, the Chinese academic community has not been able to get rid of "path dependence" from the "traditional media" framework. This paper starts from the theory of public policy process, and uses frame analysis and comparative research methods to summarize the two reasons for the failure of the "traditional media" framework and the four shortcomings of the "social media" framework for the impact of media on the public policy process in China.
Tools and Techniques for Easing the Application of Answer Set Programming

Answer Set Programming (ASP) is a well-established declarative problem solving paradigm; it features high expressiveness and the ability to deal with incomplete knowledge, so it became widely used in AI and it is now recognized as a powerful tool for knowledge representation and reasoning (KRR). Thanks to the expressive language and the availability of diverse robust systems, Answer Set Programming has recently gained popularity and has been applied fruitfully to a wide range of domains. This made clear the need for proper tools and interoperability mechanisms that ease the development of ASP-based applications. Also, the spreading of ASP from a strictly theoretical ambit to more practical scenarios requires additional features for easing the interoperability and integration with other software; furthermore, improving the performance of actual ASP system is crucial for allowing the use of the potential of ASP in new practical contexts. Thecontribution of our work aims at addressing such challenges; we introduce new tools and techniques for fostering the application of ASP. In particular, we present embASP : a framework for the integration of ASP in external systems for general applications, over diﬀerent platforms and ASP reasoners. Furthermore, we deﬁne proper means for handling external computations in ASP programs, and implement a proper framework for explicit calls to Python scripts via external atoms into the ASP grounder I - DLV . Eventually, we work at improving the ASP computation, and present I - DLV +MS , a new ASP system that integrates I - DLV with an automatic solver selector for inductively choose the best solver.
Detection Probability and Occupancy of American Woodcock during Singing-ground Surveys

The Singing-ground Survey (SGS) was designed to exploit the conspicuous breeding-season display of male American woodcock ( Scolopax minor ; hereafter, woodcock) to monitor these otherwise inconspicuous birds. The SGS was standardized in 1968 and has since been conducted annually to derive an index of abundance and population trend. Counts of singing male woodcock on the SGS have generally declined through time, but without knowledge of the relationship among counts, woodcock abundance, and the factors affecting detection, considerable uncertainty remains in interpretation of SGS data. Using modified SGS protocols, we surveyed SGS routes in Pine County, Minnesota, in 2009 and 2010 and developed models to assess factors associated with detection probability and estimated occupancy. The intercept-only model (i.e., constant detection and occupancy probabilities across sites and no covariates) included overall detection probability of 0.59 (SE = 0.018) in 2009 and 0.66 (SE = 0.017) in 2010 with an occupancy estimate of 0.74 (SE = 0.049) in 2009 and 0.81 (SE = 0.044) in 2010. The best-supported model of detection probability for both years combined included detection as a function of woodcock abundance, observer, date, disturbance level (i.e., ambient noise that interfered with detecting woodcock), and wind speed. High wind speeds were negatively related to detection, different observers had different detection probabilities, date was quadratically related to detection (indicating a mid-period peak in detection), and high woodcock abundance and low disturbance levels were positively related to detection. We provide suggestions for incorporating these resulting into SGS protocol and analyses.
Isolating microsatellite markers in the marine sponge Cinachyrella alloclada for use in community and population genetics studies

4 Declaration. 5 Copyright statement. 5 Acknowledgements. 6 Abbreviations. 7 Introduction. 8 Marine sponges. 9 Genetic markers. 10 Allozymes. 10 mtDNA. 10 AFLP. 11 Nuclear DNA. 11 SNP. 12 Microsatellites. 12 Microsatellite development. 12 Optimizing Seq-to-SSR approaches. 14 Aims and objectives. 16 Methods and Results. 17 Sample collection and DNA extraction. 17 Library prep and sequencing. 17 Quality filtering. 17 Microsatellite identification and primer design. 19 PCR amplification of selected loci. 20 Discussion. 23 References. 25
Class-aware t-SNE: cat-SNE

Stochastic Neighbor Embedding (SNE) and variants like t -distributed SNE are popular methods of unsupervised dimensionality reduction (DR) that deliver outstanding experimental results. Regular t - SNE is often used to visualize data with class labels in colored scatterplots, even if those labels are actually not involved in the DR process. This paper proposes a modiﬁcation of t -SNE that employs class labels to adjust the widths of the Gaussian neighborhoods around each datum, instead of deriving those from a perplexity set by the user. The widths are ﬁxed to concentrate a major fraction of the probability distribution around a datum on neighbors with the same class. This tends to shrink the bulk of the classes and to stretch their low-dimensional separation. Experimental results show that the proposed class-aware t -SNE (ca t -SNE) outperforms regular t -SNE in K NN classiﬁcation tasks carried out in the embedding.
SELECTION OF SUSTAINABLE CHEMICAL PROCESS DESIGN USING ANP: A BIODIESEL CASE STUDY

The design for sustainability in chemical process design should consider the three pillars of sustainability namely economic feasibility, environmental friendliness and social benefits. In reality however, agreeability among the criteria are not easily obtained because of the dependencies that exist between them. Also conflict of interest between the decision makers makes the decision making becomes more complex and therefore trade off is often needed. To encounter this complex interaction, analytic network process (ANP) is adopted utilizes its capability to account the interdependencies among level of attributes. Using ANP, a hierarchical decision network model using elements that are determinant to engineers and managers is developed that also taken into account the dependencies that exist within the framework. An example of several biodiesel process designs from literature are examined to shows the applicability of the approach. Overall, the approach offers a practical and systematic tool for aiding sustainable decision making in chemical process design specifically those that deal with complex and interacting decision environment.
Centre for Software Certiﬁcation Supervised learning, change propagation, and delta lenses

Delta lenses are an established mathematical framework for modelling and designing bidirectional model transformations (Bx). Following the recent observations by Fong et al, the paper extends the delta lens framework with a a new ingredient: learning over a parameterized space of model transformations seen as functors. We will deﬁne a notion of an asymmetric learning delta lens with amendment (ala-lens), and show how ala-lens can be organized into a symmetric monoidal category. We also show that sequential and parallel composition of well-behaved (wb) ala-lenses is also wb so that wb ala-lenses constitute a full subcategory of ala-lenses.
Lecture 4 a : Continuous-Time Markov Chain Models

Continuous-time Markov chains are stochastic processes whose time is continuous, t ∈ [0,∞), but the random variables are discrete. Prominent examples of continuous-time Markov processes are Poisson and death and birth processes. These processes play a fundamental role in the theory and applications that embrace queueing and inventory models, population growth, engineering systems, etc [3]. Here we discuss the Poisson process.
Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares

Nonnegative matrix factorization (NMF) is a widely used tool in data analysis due to its ability to extract signiﬁcant features from data vectors. Among algorithms developed to solve NMF, hierarchical alternating least squares (HALS) is often used to obtain state-of-the-art results. We generalize HALS to tackle an NMF problem where both input data and features consist of nonnegative polynomial signals. Compared to standard HALS applied to a discretization of the problem, our algorithm is able to recover smoother features, with a computational time growing moderately with the number of observations compared to existing approaches
COMBINING SIMULATION TECHNIQUES TO UNDERSTAND DEMOGRAPHIC DYNAMICS AND FORECAST HOSPITAL DEMANDS

An ageing population directly affects the volume and structure of hospital demands while raising concerns about both shortand long-term medical service accessibility. In this context, simulations can be used to facilitate understanding about population dynamics and the mechanisms driving healthcare service demands. This study’s primary goal was to determine, using a hybrid simulation technique, how demographic changes influenced the demand for inpatient hospital services. The studied model was used to predict how changes in the age-gender population distribution would affect future hospital inpatient service use among 17 hospital located in a large administrative region in Poland. The population model was constructed as a system dynamics model while patient pathways were modeled using a discrete event approach. Results showed that the hybrid model enabled analyses and insights that were not delivered by each sole method.
Efficacy of Hijamat (wet cupping therapy) in Iranian patients with non-alcoholic fatty liver

3 Background/aim: Nonalcoholic fatty liver disease (NAFLD) is known to be the most prevalent 4 chronic liver disease all over the world. The incidence of this disease has dramatically increased 5 during the last decade. Studies have shown a strong relationship between the level of ferritin and 6 the severity of NAFLD. The objective of the present study was to assess the effect of adding 7 Hijamat, as an iron reducing procedure, to standard lifestyle modification on the improvement of 8 insulin resistance and liver enzymes in patients with NAFLD. 9 Materials and methods: One hundred and twenty NAFLD patients participated in a 10 randomized, controlled, single-blind trial design of study. The control group received counseling 11 for nutrition and physical activity for a period of 6 months. The treatment group received the 12 above items plus Hijamat for 3 times during 1 month. Ultrasound images of liver, HOMA-IR and 13 laboratory data including ALT, AST were assessed preand postintervention. 14 Results: At the end of the study, a significant decrease was demonstrated in the serum level of 15 HOMA-IR (-1.30±0.88 vs -.02 ±0.47, P <0.001) and serum levels of ALT (-6.50±4.92 vs 16 2.38±3.92, P <0.001) and AST (-2.78±4.29 vs -1.30±2.33, P = 0.021) in the Hijamat group 17 compared to the control group. Ultrasound images of the liver improved in 23.3% of the patients 18 in the Hijamat group, while the rate of improvement in the control group was 10 % (P = 0.050). 19 Hijamat therapy was safe and tolerable in this trial. 20 Conclusions: Hijamat resulted in a relative improvement in fatty liver severity and improved 21 HOMA-IR and liver enzymes more than lifestyle modification alone in patients with NAFLD. 22
Racial Disparities in Perinatal Health: A Multiple Determinants Perinatal Framework with a Lifespan Approach

Within the U.S., substantial racial disparities in perinatal outcomes persist. Moreover, since a narrowing of the racial gap has not accompanied improvements in perinatal health over the past century, a new approach is needed to close that gap. One possible approach to eliminate racial disparity utilizes a life course and multiple determinants framework with an emphasis on racial differences. Literature links perinatal health and racial disparities to the distal factors of social environment, physical environment, and genetic environment. Prepregnancy health, including chronic disease, obesity, and infection, is one proximal factor that may explain racial disparities. This framework focuses on the preconceptional and interconceptional periods as targets for intervention to eliminate racial disparity. The health and welfare of African-American women must be ensured beginning at birth and throughout childhood to successfully address the distal and proximal factors emphasized in the framework. Tackling the racial disparity in perinatal outcomes with this framework will require a major shift in research, practice, and policy.
Efficient Representation and Derivation of Fundamental Transformation of Relationships using Euler Angles and Quaternions

This paper introduces and defines two principal rotational methods;the Euler angles and the quaternions theories with a brief insight into their definitions and algebraic properties. These methods are widely used in various scientific fields, only marginally in the aircraft industry, the robotics, the quantum mechanics, the electro mechanics, the cameras systems, the computer graphics, the heavy industry and other. The main part of this paper is devoted to the derivation of basic equations of the vector rotation around each rotational x, y, z axis using both rotational methods. Then, the general three-dimensional rotation matrix and the general operator of the quaternion rotation are derived. Finally the utilization of the matrices and quaternion equations are demonstrated on a simple example.
Project proposal: Factas (Functional Analysis for ConcepTion and Assessment of Systems)

Permanent members: Laurent Baratchart (DR Inria); Sylvain Chevillard (CR Inria); Juliette Leblond (DR Inria); Martine Olivi (CR Inria); Fabien Seyfert (CR Inria, scientific leader). Post-docs: Vanna Lisa Coli (UCAJedi, ToMaT; joint supervision with CEPAM and Morpheme). PhD Students: Gibin Bose (Labex UCN@Sophia, ED STIC UCA; joint supervision with LEAT); Sébastien Fueyo (UCA, ED SFA; joint supervision with McTao); David Martínez Martínez (DGA-CNES, ED Xlim Limoges; joint supervision with Xlim); Konstantinos Mavreas (MESR, ED STIC UCA). Team assistant: Marie-Line Meirinho (AI Inria).
IMPLEMENTING THE ANALYTIC HIERARCHY PROCESS TO RECRUIT FEMALES FOR THE MINISTRY OF FOREIGN AFFAIRS IN SAUDI ARABIA

This paper proposes the application of the Analytic Hierarchy Process (AHP) on female employment in the ministry of foreign Affairs (MOFA). To ensure the validity and reliability of the selection process, MOFA officials sought the expertise of distinguished academic team to perform the selections through more sophisticated methods than the traditional approach of recruiting human resources. The selected academic team opted for the implementation of the well known multi-criteria decision approach, the Analytic Hierarchy Process (AHP) in a group decision making setting. Team members designed a rubric to conduct the interviews; analyze their results; and a short questionnaire to provide another set of criteria which was incorporated in AHP rating model to prioritize the applicants. The results were highly welcomed by MOFA officials, who unanimously supported the superiority of AHP results.
On the effects of Non-Newtonian fluids above the ribbing instability

The topology of the flow is of most importance for the final properties of coated surfaces. This topology is mainly controlled by the viscosity of the liquid sheet. However, in most coating systems this viscosity is not a constant and depends on a variety of experimental parameters, the most important being the mechanical stress the fluid is exposed to. Thus, for Non-Newtonian fluids in roll coating geometry, several changes are observed in the manifestation of the instability. In this article, we present first the rheological properties of some Non-Newtonian fluids used, then the experimental results on the shape of the unstable meniscus observed above onset in a journal bearing geometry described in a previous paper1.