Miracle-dz/UniFAR-FTUs huggingface dataset:
Conception et réalisation d'un système électronique ambulatoire pour l'évaluation de la microcirculation cutanée

La microcirculation est constituee d’un reseau vasculaire qui comprend les arterioles, les veinules et les capillaires. La microcirculation cutanee est un parametre physiologique important pour les applications cliniques avancees comme le syndrome de Raynaud ou la prevention des escarres. De nombreuses methodes non ambulatoires ont ete developpees afin de mesurer la microcirculation sanguine. La tendance actuelle dans le domaine des technologies pour la sante est la miniaturisation des capteurs et de leurs instrumentations associees pour les rendre non-invasifs, portables par le patient et ainsi adaptes aux mesures ambulatoires en conditions reelles, ou appelees aussi « ecologiques ». Le manuscrit presente la conception et la realisation d’un systeme electronique miniaturise ambulatoire (µHematron), permettant de realiser un monitoring continu, en temps reel de la conductivite thermique tissulaire qui est l’image de la microcirculation dans les capillaires. La premiere experimentation effectuee a pour l’objectif de confronter le systeme µHematron avec un moniteur de fluxmetrie laser Doppler, au cours d’une etude destinee a evaluer le confort thermique chez l’homme. Ainsi, une etude d’influence de la temperature de differentes ambiances sur un certain nombre de parametres de la peau de sujets sains, y compris la microcirculation cutanee, a ete realisee. Les correlations obtenues entre les variations des deux signaux des deux instrumentations pour les ambiances neutres, chaudes et froides sont presentees. La deuxieme experimentation est consacree a l’etude preliminaire de l’effet global des bas medicaux de compression sur la microcirculation cutanee des membres inferieurs de sujets sains. Grâce a l’instrumentation ambulatoire, la microcirculation a pu etre evaluee de facon continue pour differentes postures des sujets : allongee, assise, debout et en marche, et ce, pour des differentes classes de bas de compression (I, II, et III). Cette etude a permis d’ameliorer la comprehension de l’effet de ces bas sur les sujets sains.
Joint Parsing of Syntactic and Semantic Dependencies

The Conference on Computational Natural Language Learning is accompanied every year by a shared task whose purpose is to promote natural language processing applications and evaluate them in a standard setting. In 2008 the shared task was dedicated to the joint parsing of syntactic and semantic dependencies. This shared task not only unifies the shared tasks of the previous four years under a unique dependency-based formalism, but also extends them significantly: this year’s syntactic dependencies include more information such as named-entity boundaries; the semantic dependencies model roles of both verbal and nominal predicates. In this paper, we define the shared task and describe how the data sets were created. Furthermore, we report and analyze the results and describe the approaches of the participating systems.
Medicinal plants of Bangladesh: Chemical constituents and uses

medicinal plants of bangladesh with chemical constituents medicinal plant book iucn medicinal plants of bangladesh with chemical constituents medicinal plants of bangladesh with chemical constituents journal of medicinal plants studies medicinal plant diversity in chittagong, bangladesh: a medicinal plants biodiversity and ethno-medicinal plants dpph free radical scavenging activity of some bangladeshi justification of use of some medicinal plants to treat review article ethnomedicinal plants used against jaundice medicinal plant names sample excerptsolanum xanthocarpum chemical constituents and medicinal pixe for elemental analysis of domestic medicinal plants chemical constituents and medicinal properties of solanum antimicrobial and antioxidant activity analysis of some inherited folk pharmaceutical knowledge of tribal people free radical scavenging activity of some bangladeshi screenings of four medicinal plants of bangladesh for in vitro nitric oxide scavenging activity of methanol journal of medicinal plants studies biochemistry, medicinal and food values of jute (corchorus a review on limonia acidissima l.: multipotential medicinal plants tripod chemical constituents and biological activities of investigation of zinc concentration in some medicinal kasana bhawna et al. int. res. j. pharm. 2013, 4 (6) review article a comprehensive ethno pharmacological and in-vitro antibacterial activity of leaf and root extract antimicrobial and analgesic activity of leaf extracts of lignan glycosides and ? avonoids from saraca asoca with isolation and hplc profiling of chemical constituents of phytochemical screening and gc-ms analysis of acetone leaf original article open access chemical composition of e-issn: p-issn: screening of anticancer medicinal plants article type: research article received: march 16, 2012 balkrishna and misra tradit med clin natur 21 :2 io lin a potential of some medicinal plants as a digestive meicinal ratic lant omics group dpph scavenging assay of eighty four bangladeshi medicinal in vitro membrane stabilizing activity of erythrina chronology of king david life 1 back to home firext
Uso del simulador SimpleReuse

Este report explica el funcionamiento del simulador SimpleReuse (una evolucion de SimpleScalar y Wattch) para su uso en simulacion de reuso de instrucciones o regiones. Este simulador realiza medidas de tiempo, instrucciones y consumo de potencia de codigos Alpha ejecutados en maquinas de muy distinta complejidad. El simulador no se encuentra disponible en la Web en este momento debido a que esta en constante mejora, pero si hay alguien interesado en su uso puede pedirlo directamente a traves de la direccion: carlos.alvarez@upc.edu.
Effect of Phenytoin and Cyclosporine on IL-17 Production by Gingival Fibroblasts of Adults and Children

Background and aims. Gingival hyperplasia, a relatively common side effect of antiepileptic and anticonvulsant drugs, occurs in 30‒50% of patients taking phenytoin and 25‒81% of those taking cyclosporine. Gingival hyperplasia due to lack of balance between extracellular synthesis and degradation is associated with increased production of IL-1B, IL-6 and IL-8 by gingival fibroblasts. Tissue level of IL-17 increases in inflammatory conditions. Since the role of IL-17 and patient age in gingival hyperplasia is still unclear, this study aimed to compare the level of IL-17 produced by gingival fibroblasts in children and adults. Materials and methods. This study was conducted on biopsy specimens obtained from the healthy gingiva of 4 adults, 35‒42 years of age, undergoing crown lengthening surgery and 4 children, aged 4‒11 years, undergoing impacted tooth surgery. Biopsy specimens were cultured in a mixture of Dulbecco’s Modified Eagle’s Medium (DMEM), penicillin, 1% streptomycin and 10% fetal bovine serum (FBS) at 37°C and 5% CO2. The specimens were monitored for contamination and cell proliferation and the medium was refreshed if necessary. Results. The baseline levels of IL-17 produced by gingival fibroblasts isolated from children and adults were not significantly different from those after the addition of cyclosporine or phenytoin. The two groups of children and adults were not significantly different in terms of the production of IL-17 by gingival fibroblasts. The two groups of children and adults were not significantly different in terms of the production of IL-17 at baseline or after exposure to cyclosporine or phenytoin. Conclusion. IL-17 inflammatory cytokine does not play a role in gingival hyperplasia in children and adults.
Génération d'une machine de Mealy à partir de spécifications algébriques à des fins de test de conformité

Une methode de construction d'une machine de Mealy equivalente a un systeme d'equations recurrentes qui decrit le comportement d'un systeme logique sequentiel est presentee dans ce papier. Cette construction repose sur la manipulation symbolique d'equations logiques et l'analyse de BDD (Binary Decision Diagram). Ce travail a ete motive par le besoin de prise en compte de specifications multi-langages, pour la generation de sequences de test de conformite.
Aphrodisiac activity of vrishya drugs delineated by Bhavamisra: A review

Aphrodisiacs are the substances which are used to increase libido and to promote the fertility. Bhavprakash Samhita one of the Laghutrayi mentioned vrishya and sukrala drugs useful in the management of male infertility and erectile dysfunction. Certain vrishya and sukrala drugs such as gokshura, kapikachhu, shatavari, ashwagandha etc. are mentioned in Bhavprakashasamhita have provided scientific evidence for their aphrodisiac activity.
Complete Behavioural Testing of Object-Oriented Systems using CCS- Augmented X-Machines

We propose the combination of two established models of computation (X-machines and CCS) to generate a new behavioural specification and modelling language, CCS-XM. We show that such a language could be used to represent object-oriented systems, reason about their behavioural properties, and refine specifications into designs which are correct-by-construction. We delineate some of the semantics of such a language, and suggest areas where further research would be necessary. By combining these two established formalisms within a single framework, CCS-XM allows us to represent not just the functional aspects of OO systems, but their non-functional conflicts and communications. We can, for example, model both synchronous and asynchronous interactions between objects (including demonic interference, where appropriate), and at the same time model the full computational effects of individual methods at all levels of refinement. Moreover, because every CCS-XM model is simultaneously a CCS model and an X-machine model, we can use existing tools from these domains to investigate CCS-XM models and the OO systems they represent. Since X-machine concepts have rarely been applied in the OO literature, we begin with an explanatory summary.
Metatarsal fractures: A review and current concepts

Metatarsal fractures represent a significant proportion of foot injuries. Various patterns of metatarsal injuries exist and the resultant impact on function and quality of life is not negligible. This in fact reflected the attention given to these fractures in the medical literature. Conventionally, a complete clinical and radiological assessment is needed in order to guide management and tailor treatment options to the clinical and functional needs of the individual metatarsal fracture. This article provides a thorough review of all metatarsal fractures; it examines the latest literature especially in relation to management of distinct types of metatarsal fractures. Special attention is given to the first metatarsal due to its important implication in stable functionality of the first ray and foot. In relation to the higher incidence of fifth metatarsal fractures this article provides a broader review of their management.
Adaptación automática de la detección de personas a la escena

Nowadays, people detection systems are widely used in video surveillance applications. In spite of the existence of a variety of studies about improving the obtained results, this area continues being of great interest due to its relevance and complexity. This work is focused on accomplishing the premise that these security systems must be robust in order to be able to detect people in every scene. Occasionally, the scenerios we nd at the time of the analysis are really complex for a proper detection. There might arise a number of real and adverse situations, both indoors and outdoors, of lighting and shadows alterations or people partially occluded by objects. The main idea is using the scene context of each video to adapt the model in pursuance of getting a more accurate detection for the majority of the cases. The work has consisted in implementing through Matlab an adaptation of the ACF's algorithm (Aggregate Channel Features) for people detection, as well as in the study of the system's variable parameters to achieve the best results. At last, an evaluation of the algorithm with its di erent variations about the reference sequences has been done. The obtained results demonstrate the improvement in the detections for the analyzed sequences.
Prevalence of head trauma causes in Bandar Abbas-Iran

Introduction: Traumatic brain injury (TBI) is one of most important causes of neurologic complications. A TBI is caused by a bump, blow, jolt, falling or penetrating wound to the head that disrupts the normal functioning of the brain. In this study we decided to determine the prevalence of head trauma causes in Bandar Abbas - Iran. Method: In this descriptive study that conducted from December 21 th to March 20 th of 2012, documents of 54 patients have been studied. Necessary information extracted from documents according a checklist. Collected data entered to SPSS version 16 A nd usedt - test and one - way ANOVA to compare demographic and clinical characteristics. Resul ts: prevalence of head trauma considered as 2.73% between all patients with trauma diagnosis. Prevalence of head trauma was meaningfully more in men rather than women. Another considerable result was the prevalence of head trauma in patients with age range between 11 to 30 years old. Conclusion: Our findings show that prevalence of head trauma am ong patients with trauma diagnosis was 2.73% and The most important cause of head trauma in this period of time was vehicle accidents. ( Seyed Ali Alavi, Mohsen Taghaviasl, Naimeh Baghr Zadeh Homaii . Prevalence of head trauma causes in Bandar Abbas - Iran . Life Sci J 2013;10( 12s ): 284 - 287 ) . (ISSN:1097 - 8135). http://www.lifesciencesite. com . 49
Robust analysis and design of controllers for a single TCP flow

This article considers window-based congestion control of network with single TCP flow. Based on recently developed linearized fluid-flow model of TCP behavior, the robust stability of network against round-trip time delay is analyzed and the corresponding controller is designed using LMI approach. Simulation results present a new TCP protocol structure in which a local feedback at TCP source is formed so that the network can tolerate a larger maximum round-trip time delay.
Complex Regional Pain Syndrome: Diagnostic and Treatment Conundrum

A 54-year-old man presented with a 12-week history of right lower extremity radicular pain with symptoms and signs of complex regional pain syndrome (CRPS). He reported a recent medical history of transient ischemic attack followed by cerebrovascular accident for which he underwent carotid endarterectomy. Following carotid endarterectomy, the patient was left with minimal residual speech and memory deficits, but concomitant presentation of right lower extremity radicular pain in the postoperative period was the reason for seeking pain relief. Right lumbar radiculopathy was suspected at the time of presentation to the pain clinic, and magnetic resonance imaging revealed bilateral moderate to severe lumbar foraminal stenosis, worse on the right side. Parasagittal lumbar epidural steroid injection, and aggressive multimodal pain management strategy was started resulting in significant improvement in pain scores, functionality and stress levels, albeit for a short period. Patient continued to obtain incomplete resolution of symptoms with conventional treatment. He underwent spinal cord stimulation at an early stage but only derived moderate benefit. The presented case is unusual because of overlapping etiologies that influenced our treatment plans. In this article, we will discuss the evidence for each of the questions raised by practitioners while treating aforementioned patient with CRPS. J Med Cases. 2016;7(1):33-42 doi: http://dx.doi. org/10.14740/jmc2378w
From audio to content

Models for the representation the information from sound are necessary for the description of the information, from the perceptive and operative point of view. Beyond the models, analysis methods are needed to discover the parameters which allow sound description, possibly lossless from the physical and perceptual properties description. When aiming to the extraction of information for sound, we need to discard every feature which is non relevant. This process of feature extraction consists of various steps, starting from pre-processing the sound, then windowing, extraction, and post-processing procedures. An audio signal classification system can be generally represented as represented in Figure 4.1.
Reducing Linear and Perimeter Measurement Errors in Raster-based Data

An important issue in cartography and GIS is determining the appropriate resolution or cell size when converting vector data to raster. The general consensus is to make the cell size as small as possible to resolve geographic features and provide the most accurate estimates of measurements. Finer resolution results in more accurate estimates of polygon area; however, the raster data structure introduces an artifact that causes errors in the estimation of the length of linear features and of the perimeter of polygon features to increase with increasing resolution. Over-estimation as high as 41 percent is theoretically possible and was found to be around 26 percent for representative polygon maps. A method is described that uses a correction coefficient to reduce overestimation error to less than 3 percent.
Congestion control by maintaining fairness in high speed data networks

Fairness encourages end users to implement adaptive end-to-end flow control. This guarantees reliable and more efficient network operation. This paper argues that the responsibility for achieving global fairness as well as controlled congestion can and should be pushed back to the user. This paper demonstrates that implementation of fairness in local network bottlenecks and having users implementing adaptive end-to-end load control protocols will achieve controlled congestion as well as global fairness.
Big Davids – Real-Time Sensor Classification. Real-time classification of gorilla video segments in affective categories using crowd-sourced annotations

In this sheet book we present a method to classify segments of gorilla videos in different affective categories. The classification method is trained by crowd sourcing annotation. The trained classification than uses video features (computed from the video segments) to classify a new video segment into different categories: fun, boring, scary, moving. As features we propose to use features largely based on optical flow. As classification method we propose to use k-NN for quick relearning possibilities. We validate our method with an experiment with multiple recordings of gorillas from different video cameras and an annotation crowd from within the TNO company.
TOPLUMSAL CİNSİYET EŞİTLİĞİ VE TÜRK EĞİTİM SİSTEMİNDEKİ YERİ: OKUL ÖNCESİ ÖĞRETMEN ADAYLARININ GÖZÜNDEN

Arastirmanin temel amaci okul oncesi ogretmen adaylarinin toplumsal cinsiyet esitligine ve Turk egitim sistemindeki yerine iliskin bakis acilarini ortaya koymak ve bu konuda okullarda yasadiklari deneyimleri betimlemektir. Bu arastirmada nitel arastirma desenlerinden fenomoloji deseni kullanilmistir. Arastirmanin calisma grubunu, Ankara’daki bir devlet universitesinde okul oncesi ogretmenligi bolumunde okuyan 16 ogretmen adayi olusturmaktadir. Arastirmada veri toplama yontemi olarak gorusme yontemi kullanilmistir. Veriler icerik analizi teknigine gore cozumlenmistir. Arastirma sonucunda bes tema belirlenmistir. Bunlar, ‘toplumsal cinsiyet esitliginin anlami’, ‘toplumsal cinsiyet esitligine ve uygulanabilirligine dair inanclar’, ‘okul oncesi egitim kurumlarinda toplumsal cinsiyet esitligi/esitsizligi ile ilgili karsilasilan durumlar’, ‘Turk egitim sisteminde toplumsal cinsiyet esitliginin yeri’ ve ‘toplumsal cinsiyet esitligi/esitsizligi ile ilgili sorunlar icin cozum onerileri’ temalaridir. Okul oncesi ogretmen adaylari Turkiye’de toplumsal cinsiyet esitliginin tam olarak uygulanamayacagini belirtmekle beraber toplumsal cinsiyet esitligine inandiklarini ifade etmislerdir. Ancak ogretmen adaylarinin toplumsal cinsiyet rolleriyle ilgili kalip yargilarinin oldugunu isaret eden soylemlerinin oldugu tespit edilmistir. Ayrica uc erkek ogretmen adayindan yalnizca birisinin, toplumsal cinsiyet esitligine gercekten inandigi ortaya cikmistir. Okul oncesi ogretmenligi lisans programinda toplumsal cinsiyet esitligine dair zorunlu bir dersin olmamasi bir eksiklik olarak ortaya cikmistir. Arastirma sonucunda okul oncesi ogretmen adaylarinin toplumsal cinsiyet rolleriyle ilgili kalip yargilarinin yikilmasi; egitim verecekleri cocuklarin toplumsal cinsiyet esitligine yonelik inanclarini olumlu yonde etkileyebilmeleri adina ogretmen yetistirme programlarina bununla ilgili dersler eklenmesi ve ogretmenlere bu konuda hizmet ici egitimlerin zorunlu hale getirilmesine yonelik oneriler sunulmustur.
Effects of Depression Scale, Interaction Anxiety and School Adjustment on Cellular Phone Addiction of Teenagers

The purpose of this study was to analyze the predictors of students depress, Interaction anxiety, school adjustment on cellular phone addiction of teenagers. The subjects for this study were 613 teenagers composed of 249 middle school students, 337 high school students in Daejeon. The data was conducted by using a correlations coefficient and the multiple regression analysis. According to the analysis result, correlations among measured variables of students depress, interaction anxiety, school adjustment, cellular phone addiction were significant. Secondly, the multiple regression analysis result showed that students depress, peer relations, and interaction anxiety variables to most greatly explain cellular phone addiction. These results indicate that cellular phone addiction related to depress, interaction anxiety of teenagers.
A self-learning digital neural network using wafer-scale LSI

A large-scale, dual-network architecture using wafer-scale integration (WSI) technology is proposed. By using 0.8 mu m CMOS technology, up to 144 self-learning digital neurons were integrated on each of eight 5 in silicon wafers. Neural functions and the back-propagation (BP) algorithm were mapped to digital circuits. The complete hardware system packaged more than 1000 neurons within a 30 cm cube. The dual-network architecture allowed high-speed learning at more than 2 gigaconnections updated per second (GCUPS). The high fault tolerance of the neural network and proposed defect-handling techniques overcame the yield problem of WSI. This hardware can be connected to a host workstation and used to simulating a wide range of artificial neural networks. Signature verification and stock price prediction have already been demonstrated with this hardware. >
The Use of Overloaded Software Operators for Error Detection and Correction

Performing error detection and correction (EDAC) for single-bit errors in software instead of hardware has both advantages and cost. The largest advantage is the ability to use off-the-shelf computing hardware, with high capability and low cost but no hardware-based EDAC. The largest cost is in speed and complexity, where the software takes many instructions (coding effort) and many cycles (time) to perform the EDAC function that can be performed single-cycle in hardware. By using the object-oriented software concept of overloaded operators, the complexity can be almost entirely removed, and the speed potentially improved, making software EDAC a much more useful option. In any language that supports overloaded operators, a set of types can be created which represent EDAC-protected versions of basic variable types. These types would include the basic bits of the original variable type, plus error checking bits, wrapped into a single object. Any arithmetic operation which uses these protected types would then use a special version of the operation (addition, dereferencing, assignment, and so forth) that takes error-protection bits into account.