Miracle-dz/UniFAR-FTUs huggingface dataset:
Modèles statistiques avancés pour la reconnaissance de l'activité physique dans un environnement non contrôlé en utilisant un réseau d'objets connectés. (Advanced Statistical Models for Recognizing Physical Activity in an Uncontrolled Environment Using a Network of Connected Objects)

Avec l’arrivee des objets connectes, la reconnaissance de l’activite physique connait une nouvelle ere. De nouvelles considerations sont a prendre en compte afin d’aboutir a un meilleur processus de traitement. Dans cette these, nous avons explore le processus de traitement pour la reconnaissance de l’activite physique dans un environnement non controle. Les activites physiques reconnues, avec seulement une centrale inertielle (accelerometre, gyroscope et magnetometre), sont dites elementaires. Les autres types d’activites dependantes d’un contexte sont dites « bases sur le contexte ». Nous avons extrait la transformee en cosinus discrete (DCT) comme principal descripteur pour la reconnaissance des activites elementaires. Afin de reconnaitre les activites physiques basees sur le contexte, nous avons defini trois niveaux de granularite : un premier niveau dependant des objets connectes embarques (smartphone, smartwatch et samrt TV). Un deuxieme niveau concerne l’etude des comportements des participants en interaction avec l’ecran de la smart TV. Le troisieme niveau concerne l’etude de l’attention des participants envers la TV. Nous avons pris en consideration l’aspect imperfection des donnees en fusionnant les donnees multi capteurs avec le modele de Dempster-Shafer. A ce titre, nous avons propose differentes approches pour calculer et approximer les fonctions de masse. Afin d’eviter de calculer et selectionner les differents descripteurs, nous avons propose une approche basee sur l’utilisation d’algorithmes d’apprentissage en profondeur (DNN). Nous avons propose deux modeles : un premier modele consiste a reconnaitre les activites elementaires en selectionnant la DCT comme principal descripteur (DNN-DCT). Le deuxieme modele consiste a apprendre les donnees brutes des activites basees sur le contexte (CNN-brutes). L’inconvenient du modele DNN-DCT est qu’il est rapide mais moins precis, alors que le modele CNN-brutes est plus precis mais tres lent. Nous avons propose une etude empirique permettant de comparer les differentes methodes pouvant accelerer l’apprentissage tout en gardant un niveau eleve de precision. Nous avons ainsi explore la methode d’optimisation par essaim particulaires (PSO). Les resultats sont tres satisfaisants (97%) par rapport a l’apprentissage d’un reseau de neurones profond avec les methodes d’optimisation classiques telles que la descente de Gradient Stochastique et l’optimisation par Gradient accelere de Nesterov. Les resultats de nos travaux suggerent le recours a de bons descripteurs dans le cas ou le contexte n’importe peu, la prise en compte de l’imperfection des donnees capteurs quand le domaine sous-jacent l’exige, l’utilisation de l’apprentissage profond avec un optimiseur permettant d’avoir des modeles tres precis et plus rapides.
A temperature dependent model for the saturation velocity in semiconductor materials

Precise modeling of the saturation velocity is a key element for device simulation, especially for advanced devices such as e.g. High Electron Mobility Transistors (HEMTs) where the saturation velocity vsat is directly related to the available gain of the device. We present a model implementing the temperature dependence of the saturation velocity vsat into the two-dimensional device simulator MINIMOS-NT. The new model covers all relevant materials such as the elementary semiconductors Si and Ge, and the binary III-V group semiconductors GaAs, AlAs, InAs, GaP and InP. Furthermore, a composition dependent modeling for alloyed semiconductors such as e.g. Si1ÿxGex, AlxGa1ÿxAs or InxGa1ÿxAs is included. The implementation re ̄ects a comprehensive literature survey on available experimental data and Monte Carlo (MC) simulation data. The work is completed by new MC simulations, especially for material compositions, where no experimental data are available. The extraction of the saturation velocity reveals a signi®cant dierence between the saturation velocity in the bulk and the eective (saturation) velocity extracted from rf-measurements e.g. for High Electron Mobility Transistors. Since this eective value is often used for device characterization, the dierence gives insight into modeling the determining quantities of HEMTs. 7 2000 Elsevier Science Ltd. All rights reserved.
Microarray analysis of cytokine and chemokine gene expression after prednisolone treatment in murine experimental autoimmune uveoretinitis.

PURPOSE The purpose of this study was to investigate changes in gene expression of cytokines and chemokines and their receptors after systemic prednisolone treatment in experimental autoimmune uveoretinitis (EAU). METHODS EAU mice received one intravenous injection of 7.5 mg/kg prednisolone (PDS) sodium phosphate at the peak of inflammation. EAU mice treated with only solvent served as the control. Total RNA was extracted from the whole eyes 1, 2, and 3 days after treatment. Gene expression analysis was conducted with a cDNA microarray, which contains 117 individual transcripts encoding the genes of the cytokines and chemokines and their receptors (29 cytokines and 34 cytokine receptors; 33 chemokines and 21 chemokine receptors). Comparisons of expression between PDS-treated and placebo-treated EAU mice at each time point were performed. The genes were sorted into clusters based on expression profiles, to clarify the gene regulation pattern after treatment. RESULTS Forty-seven genes had a significant decrease in expression 1 day after treatment, 10 genes on day 2, and 46 genes on day 3. Ten genes were upregulated on day 1, but no gene was upregulated thereafter. Hierarchical cluster analysis of the microarray demonstrated that gene expression changes in EAU after treatment with PDS showed four patterns: flat, mountain, steep downhill, and less steep downhill. CONCLUSIONS The implications of the clusters after treatment with PDS remain unclear. The results showed that hierarchical cluster analysis based on comprehensive gene expression profiles may provide a powerful tool for identifying genes not previously associated with the therapeutic targets in ocular inflammation.
Incremental restart (database management)

A page-based incremental restart algorithm is proposed that enables resuming transaction processing immediately after recovering from a crash. Data items are recovered individually and according to the demands of the post-crash transactions. The support that such an algorithm needs in terms of nonvolatile RAM and efficient log retrieval methods is outlined. It is discussed how to construct high-level recovery based on operation logging on top of the page-based algorithm proposed. It is argued that the unique ways stable memory is used and the structure that is imposed on the log are steps in the right direction in the anticipated evolution of recovery management. <<ETX>>
Core assessment program for intracerebral transplantations (CAPIT)

California Parkinson’s Foundation, San Jose, California, U.S.A. ; *Department of Neurology, Lund University Hospital, Lund, Sweden; IIDepartment of Neurological Sciences, Rush-Presbyterian, St . Luke’s Medical Center, Chicago, Illinois; ? Department of Neurology, Hammersmith Hospital, London, England; #Department of Neurology, Columbia University, New York, New York; §Division of Neurosurgery, University of South Florida, Tampa, Florida, and **Department of Neurology, Emory University, Atlanta, Georgia, U.S.A.
Detecting Fine-grained Sitting Affordances with Fuzzy Sets

Recently, object affordances have moved into the focus of researchers in computer vision. Affordances describe how an object can be used by a specific agent. This additional information on the purpose of an object is used to augment the classification process. With the herein proposed approach we aim at bringing affordances and object classification closer together by proposing fine-grained affordances. We present an algorithm that detects fine-grained sitting affordances in point clouds by iteratively transforming a human model into the scene. This approach enables us to distinguish object functionality on a finer-grained scale, thus more closely resembling the different purposes of similar objects. For instance, traditional methods suggest that a stool, chair and armchair all afford sitting. This is also true for our approach, but additionally we distinguish sitting without backrest, with backrest and with armrests. This fine-grained affordance definition closely resembles individual types of sitting and better reflects the purposes of different chairs. We experimentally evaluate our approach and provide fine-grained affordance annotations in a dataset from our lab.
AIS Electronic Library (AISeL)

Intellectual capital is the single most important asset owned by any organization. Business continuity, innovation, and long-term sustainability of Small Medium Enterprises depend partly on accumulated organizational knowledge. Knowledge is hard to capture and manage due to its implicit nature. This paper seeks to investigate how Web 2.0 technologies are being used to overcome knowledge sharing and collaboration issues. The new web technologies, which are based on platforms, are referred to as emergent social software platforms (ESSP’s). The use of ESSP’s within a business enterprise to achieve business goals is known as enterprise 2.0 (E2.0). Central to this research is the proposed knowledge sharing cycle model, which has three main stages - internalization, externalization, and objectification. This model is adapted based on the findings of a case study of IBM Corporation. The findings indicate that ESSP’s can be used to support knowledge sharing practices and to help convert knowledge into its different forms.
VPF 3 ' 30 ' MOT VPF 3 ' 30 ' MOT PYK 2 IgG Blot : PYK 2 b . FAK IP : PTyr ; Blot : PYK 2 C VPF MOT C VPF MOT Blot

Vascular permeability factor/vascular enduthelial growth factor i V IT/ VEGF) is a multifunctional cytokine and growth factor that has important roles in both pathological and physiological angiogenesis. VPF/VEGF induces vascular hyperpermeability. cell division, and other activities by interacting with two specific receptor tyrosine kinases, KDR/Flk-1 and Flt-1, that are selectively expressed on vascular endothelium. The signal ing cascade that follows VPF/VEGF interaction with cultured endothe lium is only partially understood but is known to result in increased intracellular calcium, activation of protein kinase C, and tyrosine phosphorylations of both receptors, phospholipase C-y il'I.C-y) and phosphatidylinositol 3'-kinase. For many reasons, signaling events elicited in cultured endothelium may not mimic mediator effects on intact normal or tumor-induced microvessels in vivo. Therefore, we developed a system that would allow measurement of VPF/VEGF-induced signaling on intact microvessels. We used mouse mesentery, a tissue whose numerous mi crovessels are highly responsive to V'PFA'EGF and that we found to express Flk-l and Flt-1 selectively. At intervals after injecting VPF/VEGF Â¡. p.,mesenteries were harvested, extracted, and immunoprecipitated. 1mmunoblots confirmed that VPF/VEGF induced tyrosine phosphorylation of several proteins in mesenteric microvessels as in cultured endothelium: Flk-I; PLC-y; and mitogen-activated protein kinase. Similar phosphorylations were observed when mesentery was exposed to VPF/VEGF in vitro, or when mesenteries were harvested from mice bearing the mouse ovarian tumor ascites tumor, which itself secretes abundant VPF/VEGF. Other experiments further elucidated the VPF/VEGF signaling pathway, dem onstrating phosphorylation of both PYK2 and focal adhesion kinase, activation of c-y'un-NH2-kinase with phosphorylation of <-. Inn, and an association between Flk-l and I'M -y. In addition, we demonstrated translocation of mitogen-activated protein kinase to the cell nucleus in cultured endothelium. Taken together, these experiments describe a new model system with the potential for investigating signaling events in response to diverse mediators on intact microvessels in vivo and have further elucidated the VPF/VEGF signaling cascade.
On the Performance of MIMO-NOMA-Based Visible Light Communication Systems

In this letter, we apply the non-orthogonal multiple access (NOMA) technique to improve the achievable sum rate of multiple-input multiple-output (MIMO)-based multi-user visible light communication (VLC) systems. To ensure efficient and low-complexity power allocation in indoor MIMO-NOMA-based VLC systems, a normalized gain difference power allocation (NGDPA) method is first proposed by exploiting users’ channel conditions. We investigate the performance of an indoor <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> MIMO-NOMA-based multi-user VLC system through numerical simulations. The obtained results show that the achievable sum rate of the <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> MIMO-VLC system can be significantly improved by employing NOMA with the proposed NGDPA method. It is demonstrated that NOMA with NGDPA achieves a sum rate improvement of up to 29.1% compared with NOMA with the gain ratio power allocation method in the <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> MIMO-VLC system with three users.
Unsupervised Learning of True Ranking Estimators using the Belief Function Framework

A variant of the ranking aggregation problem is considered in this work. The goal is to find an approximation of an unknown true ranking given a set of rankings. We devise a solution called Belief Ranking Estimator (BRE), based on the belief function framework that permits to represent beliefs on the correctness of the rankings position as well as uncertainty on the quality of the rankings from the subjective point of view of the expert. The results of a preliminary empirical comparison of BRE against baseline ranking estimators and state-of-the-art methods for ranking aggregation are shown and discussed.
The effect of the sex of litter-mates on the subsequent behaviour and breeding performance of cross-fostered rats

The response to drugs, the reaction to handling, and the breeding performance of rats bred in unisexual and in bisexual cross-fostered litters were compared. There was no significant difference in their response to drugs, although bisexually-reared animals consistently gave a more precise dose-response line to gonadotrophin. When handled unisexually-reared males defaecated more frequently and squeaked more loudly than bisexually-reared males, a difference not evident in the females. The rate of attainment of sexual maturity was similar in both rearing types but, when mated, bisexually-reared females produced larger litters.
Activation in vitro of respiratory nitrate reductase of Escherichia coli K12 grown in the presence of tungstate. Involvement of molybdenum cofactor.

The chlorate-resistant (chlR) mutants are pleiotropically defective in molybdoenzyme activity. The inactive derivative of the molybdoenzyme, respiratory nitrate reductase, present in the cell-free extract of a chlB mutant, can be activated by the addition of protein FA, the probable active product of the chlB locus. Protein FA addition, however, cannot bring about the activation if 10 mM sodium tungstate is included in the culture medium for the chlB strain. The inclusion of a heat-treated preparation of a wild-type or chlB strain prepared after growth in the absence of tungstate, restores the protein-FA-dependent activation of nitrate reductase. All attempts to activate nitrate reductase in extracts prepared from tungstate-grown wild-type Escherichia coli strains failed. It appears that during growth with tungstate, the possession of the active chlB gene product leads to the synthesis of a nitrate reductase derivative which is distinct from that present in the tungstate-grown chlB mutant. Heat-treated preparations from chlA and chlE mutants which do not possess molybdenum cofactor activity fail to restore the activation. Fractionation by gel filtration of the heat-treated preparation from a wild-type strain produced two active peaks in the eluate of approximate Mr 12000 and less than or equal to 1500. The active material in the heat-treated extract was resistant to exposure to proteinases, but after such treatment the active component, previously of approximate Mr 12000, eluted from the gel filtration column with the material of Mr less than or equal to 1500. The active material is therefore of low molecular mass and can exist either in a protein-bound form or in an apparently free state. Molybdenum cofactor activity, assayed by the complementation of the apoprotein of NADPH:nitrate oxidoreductase in an extract of the nit-1 mutant of Neurospora crassa, gave a profile following gel filtration similar to that of the ability to restore respiratory nitrate reductase activity to the tungstate-grown chlB mutant soluble fraction. This was the case even after proteinase treatment of the heat-stable fraction. Analysis of the chlC (narC) mutant, defective in the structural gene for nitrate reductase, revealed that heat treatment is not necessary for the expression of the active component. Furthermore both the active component and molybdenum cofactor activity are present in corresponding bound and free fractions in the non-heat-treated soluble subcellular fraction. (ABSTRACT TRUNCATED AT 400 WORDS)
A model to simulate SEMG signals of different muscles

This work describes a model which is able to simulate the surface electromyography (sEMG) of different muscles. The model assumes that each muscle is controlled by many motor units (MU). Therefore, the motor unit action potential (MUAP) can be mathematically formulated as the spatiotemporal sum of divers potential actions produced by its fiber muscles. We evaluate the sEMG of four different muscles: soleus, tibialis anterior, dorsal interossei and platysma muscles.
Periodic Planar Multilayered Substrates Analysis Using Wave Concept Iterative Process

Due to the practical importance and difficulties associated with their closed form solutions, the experimental and computational study of periodic planar multilayered structures, such as FSS in multilayered configuration and Multilayered Planar antennas array, are in complementary progress. During the past two decades, the widespread use of such methods has allowed a broad range of important scattering problems involving non-standard shapes, boundary conditions and material composition to be solved. In this sense, an efficient iterative technique based on the concept of wave is presented for computing periodic substrates in multilayered configuration. This paper presents an extensible approach of the iterative method to study multilayered substrates (n layers in which n = 2, 20) with spatial periodicity in multi- layer configuration. Our new approach is performed in order to study 3 dimensional structures by the method called Wave Concept Iterative Process (WCIP). This method is adapted in its original form to study 2 dimensional structures. The third dimension is modulated by transmission line as an approximation for every mode in spectral domain. The utility of the new WCIP appears because of its fast convergence and little consumption in memory.
Cooperative Random Learning Particle Swarm Optimization

Particle swarm optimization (PSO) is a recently developed simple and efficient optimization technique and has been applied widely to real life optimization problems. This paper presents an improved version of the original PSO called the cooperative random learning particle swarm optimization (CRPSO), which employs several sub-swarms to seek the space and uses a modified velocity updating equation during the search process. The proposed CRPSO algorithm maintains the diversity of the swarm efficiently and enhances the local search ability simultaneously. The experiment results demonstrate that the CRPSO can improve the performance of the original PSO significantly both on the unimodal and the multimodal function optimization problems.
TROİA Milli Parkı Arazi Kullanım ve Bitki Örtüsü Değişiminin Uzaktan Algılama ve Coğrafi Bilgi Sistemi Yardımıyla Belirlenmesi

Canakkale ili sinirlarinda yer alan TROIA Milli Parki 13600 ha’lik bir alanda Arazi Kullanim ve Bitki Ortusu (AKBO) dinamigini belirlenmeye calisildi. Uzaktan algilama calismalari ozelikle zamansal cozunurluk analizleri tarihi alanlardaki arazi degisimlerini belirlemede onemli bir kriterdir. Landsat TM verileri yardimiyla elde edilen Tasseled Kap indexleri ile Duzeltilmis Farklilik Vejatasyon Indeksi kullanilarak 1987 ve 2006 yillari icin yeni veriler olusturuldu. Kontrollu siniflama elde edilen yer bilgileri ve daha once var olan kagit format haritalar ve hava fotograflarindan yararlanildi. Yeniden olusturulan verilerden elde edilen siniflama sonucu arazi sinifi zamansal olarak degisim gosteren ya da gostermeyen Aktif Tarim (AT), Mera (M), Orman (O) ve Su olarak dort farkli sinifa ayrildi. Siniflama sonucu elde edilen dogruluk analizi sirasiyla 1987 yili icin %81 ve 2006 yili icin %87 olarak hesaplandi. Arazi Kullanim ve Bitki Ortusu (AKBO) degisimi arazi toplulastirmasi nedeniyle degisken bir yapidadir. Degisim M’dan AT’a %75 lik bir oranda olurken bu oran M’dan O mana % 5. calismada O alanlarindan AT alanlarina olan degisim %46, M alanlarina olan degisim ise %9 olarak belirlenmistir. Calisma alanlari icinde ve etrafinda yapilan arazi toplulastirma calismalarinin bu degisime etkisinin oldugu belirlendi.
Microfluidic systems for fast diagnosis

In the past decade, microfabrication of miniature fluidic devices has attracted considerable interest and made substantial impact. One of the most promising applications is for biomedical applications, especially for fast diagnosis. A microfluidic system, which integrates sample pretreatment, transportation, reaction, separation, and detection on a small chip, can be realized by combining functional microfluidic components. When compared with their large-scale counterparts, the miniature system may provide advantages including compactness, lower cost, less sample/reagent consumption, automation, and higher sensitivity. In this talk, three microfluidic chips will be reviewed, including (1) an integrated microfluidic chip for fast diagnosis of infectious diseases; (2) an integrated microfluidic chip capable of performing fast detection of generic diseases; (3) an integrated microfluidic system for ELISA detection. It may provide a promising platform for clinical applications.