Miracle-dz/UniFAR-FTUs huggingface dataset:
Behind the data – preservation of the knowledge in CH Visualisations

The basics of visualisations in the context of Cultural Heritage are not broadly defined. But this is the precondition to find out suitable and practical strategies to document and manage the knowledge contained therein. For this, the paper focusses the properties, potentials and typologies of Cultural Heritage visualisations related to application fields and possibilities as well as documentation strategies, creation process and methodology. The paper starts with a theoretical overview of the properties and potential of visualisation related to the usability in the context of Cultural Heritage. On this basis the correlation between application possibilities and the three application fields - research, transfer of knowledge and preservation - will be discussed. In a second part, the paper identifies the similarities and differences of typical working processes and methodologies by the study “Investigation of 3D modelling workflows in CH with the object of development of key concepts and definitions”. This is a subproject of the project COSCH with the purpose to create a framework called COSCHKR as an international and interdisciplinary platform for state-of-the-art documentation of Cultural Heritage. For this, the main topic of the study was the analysis, evaluation and comparison of thirty different 3D projects of three institutes. It was possible to define different types of CH visualization and framework of a working process. Third topic is the documentation and management of knowledge of such visualisation in the field of Cultural Heritage. The paper compares three current research projects and points out commons and differences of the different strategies. At the end, a synthesis gives a first idea for common strategies and best practice guidelines of Cultural Heritage visualisation related to the process, methodology and documentation. Purpose – Find out general strategies to document and manage knowledge Design/methodology/approach – Based on investigation and evaluation of different projects.
Proceedings of the 2015 A.S.P.E.N. Research Workshop - Taste Signaling: Impact on Food Selection, Intake, and Health

This paper summarizes research findings from six experts in the field of taste and feeding that were presented at the 2015 ASPEN Research Workshop. The theme was focused on the interaction of taste signals with those of a postingestive origin and how this contributes to regulation of food intake through both physiological and learning processes. Gastric bypass results in exceptional loss of fat mass, increases in circulating levels of key gut peptides, some of which are also expressed along with their cognate receptors in taste buds. Changes in taste preference and food selection in both bariatric surgery patients and rodent models have been reported. Accordingly, the effects of this surgery on taste-related behavior were examined. The conservation of receptor and peptide signaling mechanisms in gustatory and extraoral tissues was discussed in the context of taste responsiveness and the regulation of metabolism. New findings detailing the features of neural circuits between the caudal nucleus of the solitary tract (NST), receiving visceral input from the vagus nerve, and the rostral NST, receiving taste input, were discussed, as was how early life experience with taste stimuli and learned associations between flavor and postoral consequences of nutrients can exert potent and long-lasting effects on feeding
Multidimensional Pilot Crew State Inference for Improved Pilot Crew-Automation Partnership

—Automation is a substantial technology of modern aircraft. Even though automation has signiﬁcantly improved aviation safety, insufﬁcient partnership between the pilot crew and the automation, and confusion over the status of the automation is still a problem. The European project A-PiMod addresses these problems by developing a virtual crew member, which takes the position of classical aircraft automation. As part of the crew, the virtual crew member must be able to anticipate the internal states of the human crew members. This ability helps, e.g., to improve the task share in the cockpit by means of dynamic adaptions of task distributions. In this paper, we present the concept of the A-PiMod pilot model, which will be used for inferring the internal state of the human crew members. The internal state is composed of different sub-states, which have been deﬁned during the initial phase of the project. The addressed sub-states are situation awareness, workload, and intentions. The target states will be inferred based on real-time data about the mission, tasks, and pilot behaviors, including what they say, where they look at, and how they act.
Association entre dépression et charge virale chez les personnes sous traitement antirétroviral suivies à l´Hôpital Central de Yaoundé au Cameroun

Introduction la dépression pourrait être associée à une réponse immunitaire et virologique médiocre, à une qualité de vie moins bonne et des coûts plus élevés liés à l´utilisation des soins de santé chez les personnes vivant avec le VIH. L´objectif était de rechercher l´association entre la dépression et la charge virale chez les personnes vivant avec le VIH sous traitement antirétroviral, suivies à l´Hôpital Central de Yaoundé. Méthodes une étude transversale et analytique a été menée à l´Hôpital Central de Yaoundé sur 8 mois (novembre 2019 à juillet 2020), chez des personnes vivant avec le VIH ayant le résultat de leur charge virale. Avant de débuter l´étude, le consentement éclairé de chaque participant a été obtenu. Les données sociodémographiques, cliniques, paracliniques et le mode de vie ont été collectées. La dépression a été évaluée selon l´échelle Hospital Anxiety and Depression scale (HAD). Le recrutement était consécutif non probabiliste. L´analyse statistique a été faite à l´aide du logiciel SPSS version 23.0. La valeur p < 0,05 a été considérée comme statistiquement significative. Résultats des 205 participants enrôlés, le sexe féminin était le plus représenté (n=153, 74,6%) et la moyenne d´âge était de 46,5 ± 1,8 ans. Tous les participants étaient au stade clinique I du VIH et la majorité présentait une charge virale indétectable (n=164, 80,0%). La dépression certaine était retrouvée chez 4,8% des cas et les personnes vivant avec le VIH ayant les symptômes d´une dépression certaine étaient plus susceptibles d´avoir une charge virale élevée (OR = 14,24 [3,61-56,14]; p = < 0,001). Conclusion la dépression pourrait favoriser la survenue d´une charge virale élevée.
Low-Power Stereo Vision Accelerator for Automotive

—Various forms of Convolutional Neural Network (CNN) architectures are used as Machine Learning (ML) tools for learning the similarity measure on video patches in order to run the stereo matching algorithm – the most computationally intensive stage of the pipeline for the stereo vision function used in designing an autonomous car. We propose a hybrid system for real-time, low-power and high-temperature implementations of the algorithm. The accelerator part of the system is a programmable many-core system with a Map-Reduce Architecture. Our paper describes and evaluates the proposed accelerator for running versions of the stereo matching algorithm
Assessment of Heavy Metal in Imported Red Meat Available in the Markets of Erbil City

Meat has comprised a significant part of the human diets worldwide. Nevertheless, pollution is a great health risk to human health, especially the bioaccumulation of heavy metals from anthropogenic. The study examined the concentrations of cobalt (Co), copper (Cu), iron (Fe), zinc (Zn), selenium (Se), nickel (Ni), mercury (Hg), lead (Pb) and arsenic (As) metals from imported meat of cattle, buffalo and lambs consumed in Erbil city by using X-ray fluorescence spectrometer. The estimate of essential metals investigated in meat samples indicates that meat from cattle, buffalo and lamb was found to have significantly higher levels of heavy metals and the concentration of these metals except for copper, iron, selenium and mercury in cattle and lambs exceeded the permissible limits set by international standard. Therefore, people of Erbil governorate that consume imported red meat such as cattle and lamb are likely to be exposed to higher metal levels.
Myélome multiple à IgD mimant un myélome à chaines légères libres et compliqué de déficit en facteur X: à propos d'un cas

Le myélome à IgD est une hémopathie extrêmement rare dont la présentation clinique est sévère. Il peut prêter à confusion avec le myélome non sécrétant ou à chaines légères libres. Nous rapportons le cas d´une patiente âgée de 72 ans qui s´est présentée pour des douleurs osseuses et ecchymoses diffuses dans un contexte d´altération de l´état général. Le bilan réalisé a montré une gammapathie monoclonale associée à une insuffisance rénale aigüe sévère et à un TP bas à 48% avec un déficit en facteur X. Le bilan étiologique a confirmé le diagnostic de myélome à IgD lambda stade IIIb selon Durie et Salmon, score “International Staging System” (ISS) à III de cytogénétique défavorable. L´évolution a été favorable après traitement par inhibiteur de protéasome, anti-CD 38 et corticothérapie. Le traitement adéquat du myélome à IgD en utilisant les nouvelles approches thérapeutiques et l´autogreffe des cellules souches hématopoïétiques améliore le pronostic.
Enhanced Adaptive Fault Tolerance Model for increasing Reliability in Cloud Computing

— Today’s world is an era of cloud computing. Cloud computing aim to power the data centers as a network of virtual services like hardware , database, user-interface etc so that user can access information and applications via internet from anywhere in the world on demand at competitive costs depending on users quality of service requirements. Real time system is a system in which computation guarantees strict time constraints. In a real time cloud applications computations is done at remote cloud computing nodes which may sometimes result in chances of error due to a loose control over computing nodes. This system should be highly reliable so there is an increased demand of fault tolerance to achieve reliability for real time computing on cloud infrastructure. In this paper, a fault tolerance model for real time computing is proposed. The proposed model, is a model named Enhanced Adaptive Fault Tolerance model for increasing reliability in Cloud Computing. The system tolerates the faults and makes the decision on the basis of reliability of the processing nodes that is virtual machines. If a correct result within the time limit will be produced by a virtual machine increases. And if it fails to produce correct result within time limit then its reliability decreases. This model have RAM (Resource Allocation Module) and User Controlled Exception Handling which make it more elastic to the environment. The proposed technique is based on the execution of task if the task is exceeding the limit then it send the task to exception handling section, but it also checks that if the task is about to finish and required the time that is sustainable then it provide the elasticity to that task. The virtual machine instances can be of same type or of different types. The main essence of the proposed technique is to provide elasticity to the task and then admin will decide whether to resubmit the task of same virtual machine or to reject that task. The resubmitted task will be computed again and assign new reliability value
Utilization of modified mRNA encoding bone morphogenetic protein-2 for periodontal regeneration: an in vitro study

Current modalities for periodontal regeneration provide modest success, however complete periodontal regeneration is still not achievable. Recently�in vitro�synthesized nucleoside-modified messenger RNA (mRNA) has emerged as a novel platform in regenerative medicine. The aims of this study are to investigate the ability of human periodontal ligament cells (PDLCs), clinically relevant target cells, to produce bone morphogenetic protein-2 (BMP-2), a significant protein for bone formation after transfected with modified mRNA that encode this protein. We investigated the ability of translated protein for enhancing PDLC proliferation and�promotes�endothelial cell tube formation, marker of angiogenesis. Isolated PDLCs from healthy periodontal tissue were transfected with N1-methylpseudouridine modified mRNA encoding BMP-2 complexed with transfecting agent, Lipofectamine 2000. Cell lysates and supernatants were collected at 24, 48 and 72 hours (h) after transfection for protein production by ELISA and cell viability by AlamarBlue assay. � High levels of BMP-2 production�were detected intracellulary and extracellulary. Secreted�BMP-2 gradually increased up to 72 h. Cell viability was maintained above 90% throughout the observation period. The post-transfection supernatants were able to promote PDLC proliferation and endothelial cell tube formation. In conclusion, transfection of PDLCs with N1-methylpseudouridine modified mRNA encoding BMP-2 in lipofectamine 2000 led to high levels of functional BMP-2 protein. �Using the in vitro�synthesized nucleoside-modified mRNA may allow future application as novel therapeutics platform for periodontal regeneration, however further researches are required.
Earthquake Monitoring And Prediction System Using Smart Dust – A Novel Approach

: An earthquake monitoring and prediction system is proposed in this paper that uses the Smart Dust technology. Of the various networking strategies available in the literature, the ones suitable for the proposed design are chosen. A case is also made for an Operating System that optimizes the proposed design. A simulation template for the real-world modelling of the proposed design using a suitable network simulation tool is presented and discussed. In foresight of the simulation, a new low storage message format for message exchange in the proposed design is presented. Strategies to apply a suitable prediction algorithm while dealing with the big-data that the proposed design creates are also laid out.
Development of an Assessment Tool to Measure the Latino Market Nutrition Environment

The Nutrition Environment Measures Survey for grocery stores (NEMS‐S) was designed to assess availability and pricing between healthy and less healthy food items available in grocery stores based on the 2005 Dietary Guidelines for Americans (DGA). The tool has been widely used to assess the nutrition environment, yet it does not include foods specific to Latino or other ethnic cultures. As a result, the original NEMS‐S underestimates the presence of healthy food options in Latino stores. The study purpose was to create and test a NEMS‐S adaptation that would more accurately describe the true food environment of Latino grocery stores and have high inter‐rater reliability and test‐retest validity. Drawing on literature searches, previous research in Arizona, 2010–2012 NHANES consumption frequencies for Hispanics, the 2015 DGA, and formative evaluation observations in 24 Latino grocery stores or tiendas in Iowa, we developed and validated a new instrument.
Design Criteria to Advance Technologies for the Aging Population

—Design and technology can have a significant impact on the aging with disability population, empowering these individuals to sustain independence, maintain health, engage safely in basic activities at home/community, and fully participate in society. Even though a large number of resources exist, there is a need to increase knowledge, practice, and availability of universal design for the aging with disability population. A competition can be an effective way to tap into a rich, diverse and collective design intelligence to address these issues. The TechSAge Design Competition was launched to inspire talented designers to develop innovative technology-enabled design solutions. As part of the competition, judging criteria were framed through universal design to guide contestants in the design of technologies. This included: independence, integration, implementation, inspiration, and progression. This paper discusses the judging as a mechanism to promote effective universal design practices for the aging with disability population, as well as presents examples of competition entries reflecting the design criteria.
KIDNEY DISEASE DETECTION IN INDIAN PATIENTS IN AN EARLY STAGE USING WEKA TOOL

Systems like health care, educational organization, financial institution etc., and produce huge amount of data. For decision making, there is a need of processing a raw data generated by these systems automatically. For example there is need of decision support system in health care to decrease the hospitalization rate. The quality of service provided will be low if the rate of hospitalization is more [1]. Machine learning (ML) is involved in the automatic identification of hidden patterns if there exists any in a given raw data. ML helps discovering knowledge from within a raw data that data mining aims at. Such knowledge plays a vital role in decision making. Mathematical and statistical techniques, namely, regression, classification, clustering, and association rule mining are generally employed [2]. Several software are available. We here discuss features of one such, WEKA, a collection of ML tools for data pre-processing, classification, regression, clustering, association rules, and visualization. The WEKA library can be used directly or one can embed the functions in Java code. The case presented here is from the health care sector: Diagnosis of chronic kidney disease based upon the patient’s history. Record containing blood pressure, sugar, red blood cells count etc., of 400 patients has been used to build a classification model [3]. Results are compared with LMT(Logistic model tree), Random Tree, REP Tree (Reduced Error Pruning) and the accuracy is more in J48. In LMT method the results are 98%, in Random tree it is 96.5% , REP Tree method results are 96.75%whereas with J48 algorithm the result is 99%. Classification result of Support Vector Machine (SVM) and Artificial Neural Network (ANN) algorithm shows the accuracy of 76.32% and 87.70% respectively [4]. The paper concludes that J48 classification algorithm comparatively generates the best result.
Molecular networks underlying cannabinoid signaling in skeletal muscle plasticity

The cannabinoid system is ubiquitously present and is classically considered to engage in neural and immunity processes. Yet, the role of the cannabinoid system in the whole body and tissue metabolism via central and peripheral mechanisms is increasingly recognized. The present review provides insights in (i) how cannabinoid signaling is regulated via receptor‐independent and ‐dependent mechanisms and (ii) how these signaling cascades (might) affect skeletal muscle plasticity and physiology. Receptor‐independent mechanisms include endocannabinoid metabolism to eicosanoids and the regulation of ion channels. Alternatively, endocannabinoids can act as ligands for different classic (cannabinoid receptor 1 [CB1], CB2) and/or alternative (e.g., TRPV1, GPR55) cannabinoid receptors with a unique affinity, specificity, and intracellular signaling cascade (often tissue‐specific). Antagonism of CB1 might hold clues to improve oxidative (mitochondrial) metabolism, insulin sensitivity, satellite cell growth, and muscle anabolism, whereas CB2 agonism might be a promising way to stimulate muscle metabolism and muscle cell growth. Besides, CB2 ameliorates muscle regeneration via macrophage polarization toward an anti‐inflammatory phenotype, induction of MyoD and myogenin expression and antifibrotic mechanisms. Also TRPV1 and GPR55 contribute to the regulation of muscle growth and metabolism. Future studies should reveal how the cannabinoid system can be targeted to improve muscle quantity and/or quality in conditions such as ageing, disease, disuse, and metabolic dysregulation, taking into account challenges that are inherent to modulation of the cannabinoid system, such as central and peripheral side effects.
Asymmetrical transfer of adaptation between reaching and tracking: implications for feedforward and feedback processes.

Reaching and manual tracking are two very common tasks for studying human sensorimotor processes. Although these motor tasks rely both on feedforward and feedback processes, emphasis is more on feedforward processes for reaching, and more on feedback processes for tracking. The extent to which feedforward and feedback processes are interrelated when being updated is not settled yet. Here, using reaching and tracking as proxies, we examined the bidirectional relationship between the update of feedforward and feedback processes. Forty right-handed participants were asked to move a joystick so as to either track a target moving rather unpredictably (pursuit tracking) or to make fast pointing movements toward a static target (center-out reaching task). Visuomotor adaptation was elicited by introducing a 45° rotation between the joystick motion and the cursor motion. Half of the participants adapted to rotation first via reaching movements, and then with pursuit tracking, while the other half performed both tasks in opposite order. Group comparisons revealed a strong asymmetrical transfer of adaptation between tasks. Namely, although nearly complete transfer of adaptation was observed from reaching to tracking, only modest transfer was found from tracking to reaching. A control experiment (N=10) revealed that making target motion fully predictable did not impact the latter finding. One possible interpretation is that the update of feedforward processes contributes directly to feedback processes, but the update of feedback processes engaged in tracking can be performed in isolation. These results suggest that reaching movements are supported by broader (i.e. more universal) mechanisms than tracking ones.
Small Airways Dysfunction is Associated with Increased Exacerbations in Patients with Asthma.

There is poor understanding of why some patients with asthma experience recurrent exacerbations despite high levels of treatment. We compared measurements of peripheral ventilation heterogeneity and respiratory system mechanics in participants with asthma who were differentiated according to exacerbation history, to ascertain whether peripheral airway dysfunction was related to exacerbations. Three asthmatic groups: "Stable" (no exacerbations for >12 months, n=18), "Exacerbation-prone" (≥1 exacerbation requiring systemic corticosteroids within the last 12 months, but stable for ≥1-month, n=9) and "Treated-exacerbation" (exacerbation requiring systemic corticosteroids within the last 1 month, n=12) were studied. All participants were current non-smokers with <10pack/years smoking history. Spirometry, static lung volumes, ventilation heterogeneity from multi-breath nitrogen washout (MBW) and respiratory system mechanics from oscillometry were measured. The Exacerbation-prone group compared to the Stable group had slightly worse spirometry (FEV1 Z-score -3.58(1.13) vs -2.32(1.06), p=0.03), however acinar ventilation heterogeneity (Sacin Z-score 7.43(8.59) vs 3.63(3.88), p=0.006) and respiratory system reactance (Xrs cmH2O.s.L-1 -2.74(3.82) vs -1.32(1.94), p=0.01) were much worse in this group. The Treated-exacerbation group had worse spirometry but similar small airway function, compared with the Stable group. Patients with asthma who exacerbate have worse small airway function as evidenced by increases in Sacin measured by MBW and delta Xrs from oscillometry, both markers of small airway dysfunction, compared with those that do not.