Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Selective Devectorization for Efficient Power Gating of SIMD Units in a HW/SW Co-Designed Environment

Leakage power is a growing concern in current and future microprocessors. Functional units of microprocessors are responsible for a major fraction of this power. Therefore, reducing functional unit leakage has received much attention in the recent years. Power gating is one of the most widely used techniques to minimize leakage energy. Power gating turns off the functional units during the idle periods to reduce the leakage. Therefore, the amount of leakage energy savings is directly proportional to the idle time duration. This paper focuses on increasing the idle interval for the higher SIMD lanes. The applications are profiled dynamically, in a HW/SW co-designed environment, to find the higher SIMD lanes usage pattern. If the higher lanes need to be turned-on for small time periods, the corresponding portion of the code is devectorized to keep the higher lanes off. The devectorized code is executed on the lowest SIMD lane. Our experimental results show average SIMD accelerator energy savings of 12% and 24% relative to power gating, for SPECFP2006 and Physics bench. Moreover, the slowdown caused due to devectorization is less than 1%.
Motion Graphs in Character Animation

This paper introduces the use of motion graphs in the field of character animation. First we will see how motion capture works. The paper then shows an approach how one can improve the use of motion capturing data to gain more control over the character. It will be explaind what are motion graphs and how to build them out of a set of different motion clips. After that it is shown how the resulting motion graph is used to generate new animation clips. It points out the means of control offered to the user and in what way these influence the result. At the end a more recent approach is briefly described which uses motion graph but uses some other techniques to improve of user control.
Long-Term Follow-Up of the Therapeutic Outcomes for Papillary Thyroid Carcinoma With Distant Metastasis

AbstractPapillary thyroid carcinoma (PTC) patients with distant metastasis (DM) have variable clinical courses and therapeutic outcomes. Survival time after diagnosis of DM may be several months to years. Long-term follow-up is necessary to determine prognostic factors for survival in PTC with DM. The purpose of this study was to investigate the clinical features and therapeutic outcomes of PTC with DM after 10 years of follow-up. The study population consisted of 70 patients who underwent initial thyroidectomy before 2004 and had DM beyond the locoregional neck area. Of these 70 patients, 40 patients were diagnosed with DM before or within 9 months after initial thyroidectomy in first radioactive iodide (131I) whole-body scintigraphy (group A), and 30 patients were diagnosed with DM during the follow-up period (group B). Patients with DM underwent 3.7 to 7.4 GBq 131I therapy every 6 to 12 months. After a mean follow-up period of 10.1 ± 0.9 years, the disease-specific mortality and remission rates were 70.0% (49/70) and 10% (7/70), respectively. The survival rates for patients in groups A and B were 72.5% and 96.7% at 1 year, 47.5% and 90.0% at 5 years, 40.0% and 70.0% at 10 years, 36.4% and 41.1% at 15 years, and 35.0% and 8.0% at 20 years, respectively. The percentage of male and older patients and patients with larger tumor size was higher in the mortality group than in the survival group, whereas the percentage of patients with 131I avid metastatic lesions (first DM) was lower in the mortality group. The percentage of patients with secondary primary cancers was higher in group B than in group A. In the multiple regression analysis, age and male gender were independently associated with disease-specific mortality. In conclusion, after a mean follow-up of 10.1 years, the disease-specific mortality rate for PTC with DM was 70.0%. Older patients and male PTC patients with DM need more aggressive treatment. The timing of DM diagnosis did not influence disease-specific mortality.
Identification Of Interplanetary Coronal Mass Ejection With Magnetic Cloud In Year 2005 At 1 AU

Coronal mass ejection (CMEs) propagate in to the interplanetary medium are called as Interplanetary Coronal Mass Ejection (ICME). A set of signatures in plasma and magnetic field is used to identify the ICMEs. Magnetic Cloud (MC) is a special kind of ICMEs in which internal magnetic field configuration is similar like flux rope. We have used the data obtained from ACE Advance Composition Explorer (ACE) based in-situ measurements of Magnetic Field Experiment (MAG) and Solar Wind Electron, Proton and Alpha Monitor (SWEPAM) experiment for the data of magnetic field and plasma parameters respectively. The magnetic field data and plasma parameters of ICMEs used to distinguish them as magnetic cloud, non magnetic cloud. We analyzed eighteen ICMEs observed during January 2005 to December 2005, which is the beginning of declining phase of solar cycle 23. The analysis of magnetic field in the frames of the flux ropes like structure using a Minimum Variance Analysis (MVA) method, and have identified 30% ICMEs in the year 2005, which shows magnetic field rotation in a plane and confirmed as ICMEs with MCs.
Indirect DNS covert channel based on name reference for minima length distribution

Covert Channels is the methods to conceal a message in network communications. Until now, covert channels based on packet length produce abnormal packet length when the size of the packets' length is minima. Standard DNS request has minima range in length, which is could not support by previous packet length covert channels. Abnormal packet length, especially in normal DNS requests will expose the covert channels to network security perimeter. Therefore, it motivated the study to propose a method based on reference matrix to hide the secret message in DNS request. Standard DNS requests' packet was collected from campus network. The proposed and the previous packet length covert channels were compared to standard DNS requests. The comparisons were done through percentages and frequency range of length and statistical T-test. The results show that, there is no significant different between the packet lengths of standard DNS request and propose covert, which outperform the previous packet length covert channels.
A Digital Watermarking Algorithm Based on Dual-tree Complex Wavelet Transform

Based on the good characteristics of dual-tree complex wavelet transform (DT-CWT), an improved digital watermarking algorithm is presented in the paper. The algorithm improves the embedding scheme by selecting the embedding channels and using the visual masking of HVS. In order to increase the robustness against common attacks such as JPEG, JPEG2000 compressions, different filtering attack etc., this algorithm uses the spread spectrum in embedding scheme and RS-Error correction code. The experimental results show that the algorithm increases the performance of watermark and has better robustness against common attacks. What's more, it can apply to the local activity of image.
Consistency in the face of change: an adaptive approach to physical layer cooperation

Most existing works on physical-layer (PHY) cooperation (beyond routing) focus on how to best use a given, static relay network--while wireless networks are anything but static. In this paper, we pose a different set of questions: given that we have multiple devices within range, which relay(s) do we use for PHY cooperation, to maintain a consistent target performance? How can we efficiently adapt, as network conditions change? And how important is it, in terms of performance, to adapt? Although adapting to the best path when routing is a well understood problem, how to do so over PHY cooperation networks is an open question. Our contributions are: (1) We demonstrate via theoretical evaluation, a diminishing returns trend as the number of deployed relays increases. (2) Using a simple algorithm based on network metrics, we efficiently select the sub-network to use at any given time to maintain a target reliability. (3) When streaming video from Netflix, we experimentally show (using measurements from a WARP radio testbed employing DIQIF relaying) that our adaptive PHY cooperation scheme provides a throughput gain of 2x over nonadaptive PHY schemes, and a gain of 6x over genie-aided IP-level adaptive routing.
QoS Driven Channel Selection Algorithm for Cognitive Radio Network: Multi-User Multi-Armed Bandit Approach

In this paper, we deal with the problem of opportunistic spectrum access in infrastructure-less cognitive networks. Each secondary user (SU) Tx is allowed to select one frequency channel at each transmission trial. We assume that there is no information exchange between SUs, and they have no knowledge of channel quality, availability, and other SUs actions, hence, each SU selfishly tries to select the best band to transmit. This particular problem is designed as a multi-user restless Markov multi-armed bandit problem, in which multiple SUs collect a priori unknown reward by selecting a channel. The main contribution of the paper is to propose an online learning policy for distributed SUs, that takes into account not only the availability criterion of a band but also a quality metric linked to the interference power from the neighboring cells experienced on the sensed band. We also prove that the policy, named distributed restless QoS-UCB, achieves at most logarithmic order regret, for a single-user in a first time and then for multi-user in a second time. Moreover, studies on the achievable throughput, average bit error rate obtained with the proposed policy are conducted and compared to well-known reinforcement learning algorithms.
Simultaneous Dual Level Creation for Games

Recent research has shown that it is possible to design fitness functions, based on dynamic programming, that allow evolutionary computation to automatically generate level maps for games. In this study levels with multiple types of barriers are automatically designed. The levels are designed under the assumption that there are two agent types and that at least one agent type may ignore one type of barrier. A specification of multiple types of barriers thus creates two mazes, one for each agent type, that coexist in the same space. The design of these dual mazes is accomplished using different fitness functions for two mazes simultaneously. For example, this permits a level with a single long winding path for an agent that cannot walk through one type of barrier coexisting with a low-diameter maze with more complex connectivity for an agent that cannot cross another type of barrier. This study explores two representations for game levels with multiple barrier types using four different pairs of fitness functions. The system is shown to be able to design dual mazes whose properties depend substantially on both the choice of fitness function and representation used.
Enhanced Skin Detection Technique Using Block Matching

Skin detection represents a challenge in recent years, due to the fact that imaging conditions and illumination factor affect the resulted image. In addition, human skin color has a wide range making it a tedious task to target and extract. This paper addresses a novel method to detect skin in still images. The detection approach is based on five face detection models with integral modifications to increase detection rate in those models. Our hybrid skin detection method is used to detect skin regions in images using a block matching technique integrated over the resulted map of each model to pick the most frequent block as the final result. The hybrid model produced a better result in reference to the overall skin recall and precision values when tested on a single and multiple subjects in an image.
Automated analysis of logical connectives in business constraints

Business constraints play a key role in business processes. Typically, the business rules are represented in a natural language such as English. Since, the natural languages are naturally ambiguous and one of the reasons of ambiguity is use of logical connectives that can make the NL sentences more ambiguous. Use of logical connectives result in multiple senses of a business rule specifically the XOR role of OR connective makes the things more difficult. To model the Business process specifications and business rules, one need to analyse NL based business rules manually or automatically. During analysis of NL business rules, one had to deal with various occurrences of logical connectives. In this paper, we present a novel approach to identify the type and scope of a logical connective in a target business rule. The presented approach incorporates the Markov Logic approach to handle ambiguity in logical connectives. Initial results of the experiments are also discussed at the end of the paper.
Molecular dynamics and ab initio FMO calculations on the effect of water molecules on the interactions between androgen receptor and its ligand and cofactor

To reveal the effect of water molecules on the specific interactions between androgen receptor (AR) and ligand as well as cofactor, we investigated dynamical properties of the complex by the classical molecular dynamics simulations in an explicit water box. Moreover, electronic properties of the complex with and without the water molecules were calculated by ab initio fragment molecular orbital method to find that some of the water molecules contribute significantly to the interactions between AR, ligand and cofactor.
Comparing Delivery Approaches to Teaching Abnormal Psychology: Investigating Student Perceptions and Learning Outcomes

This study compares the academic performance and perceptions of 114 undergraduate students enrolled in an abnormal psychology course. Specifically, this study focuses on whether face-to-face (F2F) or blended modalities are associated with student learning outcomes. In this study, data analysis was based upon the examination of end-of-course grades, final exams, and an end-of-course survey. The data revealed that the same course presented in a F2F and a hybrid modality was associated with nearly identical learning outcomes in terms of student evaluations and final exam scores. However, students did note differences in course delivery in terms of time, assessment, and overall structure.
Pacing-induced heart failure in dogs enhances the expression of p53 and p53-dependent genes in ventricular myocytes.

BACKGROUND Rapid ventricular pacing in dogs is characterized by a dilated myopathy in which myocyte cell death by apoptosis may play a significant role in the impairment of cardiac pump function. However, the molecular mechanisms implicated in the modulation of programmed cell death under this setting remain to be identified. Moreover, questions have been raised on the specificity and sensitivity of the histochemical detection of DNA strand breaks in nuclei by the terminal deoxynucleotidyl transferase (TdT) reaction. METHODS AND RESULTS Changes in the expression of Bcl-2 and Bax and their transcriptional regulator, p53, were determined by Western blot analysis in myocytes isolated from dogs affected by pacing-induced heart failure. A mobility shift assay for p53 binding activity was also performed. In addition, apoptosis was measured by confocal microscopy, which allowed the simultaneous detection of chromatin alterations and DNA damage. p53 DNA binding activity to the bax promoter was increased in nuclear extracts from myocytes obtained from failing hearts, and this response was associated with enhanced expression of Bax protein, 52%, and attenuation of Bcl-2, -92%. Immunolabeling of p53 in myocyte nuclei, measured by confocal microscopy, was 100% higher in cells from paced hearts. The combination of the TdT assay and confocal microscopy demonstrated that 20 myocyte nuclei per 10(6) were undergoing apoptosis in control myocardium and 4000 per l0(6) after pacing. Moreover, DNA laddering was shown in myocytes by agarose gel electrophoresis of DNA fragments. CONCLUSIONS The activation of p53 and p53-dependent genes may be critical in the modulation of myocyte apoptosis in pacing-induced heart failure.
N2O and CH4 emission from soil amended with steam‐activated biochar

Steam-activation increased CH4 emission of stover biochar but decreased it for wood biochar by 14%–70%. Biochar generally increased CH4 emission but reduced N2O emission by 10%–41%. Emission of N 2 O was 17% lower for maize-stover biochar compared to Eucalyptus-wood biochar, and 3% lower for 350°C compared to 550°C pyrolysis temperature. Emission of CH 4 was 21% higher for activated stover biochar compared to Eucalyptus-wood biochar and 10% lower for 350°C compared to 550°C pyrolysis temperature. No difference in net CO 2 equivalent was observed among biochar grades.
An optimized adaptive algorithm for authentication of safety critical messages in VANET

Authentication is one of the essential frameworks to ensure safe and secure message dissemination in Vehicular Adhoc Networks (VANETs). But an optimized authentication algorithm with reduced computational overhead is still a challenge. In this paper, we propose a novel classification of safety critical messages and provide an adaptive algorithm for authentication in VANETs using the concept of Merkle tree and Elliptic Curve Digital Signature Algorithm (ECDSA). Here, the Merkle tree is constructed to store the hashed values of public keys at the leaf nodes. This algorithm addresses Denial of Service (DoS) attack, man in the middle attack and phishing attack. Experimental results show that, the algorithm reduces the computational delay by 20 percent compared to existing schemes.
Experimental Results on the Aggregation Methods in Blog Distillation

This paper addresses the blog distillation problem, that is, given a user query find the blogs that are most related to the query topic. We model each post as evidence about relevance of a blog to the query, and use aggregation methods like Ordered Weighted Averaging operators to combine the evidence. Our experiments on the TREC'07 data set show 42% improvement in Mean Average Precision and 21% improvement in Precision at 10 over a baseline based on the Language Model.
Interactive 3D scan-matching using RGB-D data

Several methods have been proposed in the literature to address the problem of automatic 3D reconstruction from depth data. Most methods rely on the minimization of the matching error among individual depth frames. However, ambiguity in sensor data often leads to erroneous matching (due to local minima), hard to cope with in a purely automatic approach. This paper proposes a semiautomatic approach, denoted interactive mapping, involving a human operator in the process of detecting and correcting erroneous matches. Instead of allowing the operator complete freedom in correcting the matching in a frame by frame basis, the proposed method constrains human intervention along the degrees of freedom with most uncertainty. This paper is targeted to 3D reconstruction from RGB-D data, such as the one provided by the Kinect sensor. The user is able to translate and rotate individual RGB-D point clouds, with the help of a force field-like reaction to the movement of each point cloud. Some preliminary results are presented, illustrating the advantages of the method.
Metabolic engineering to enhance bacterial hydrogen production

Hydrogen fuel is renewable, efficient and clean, and fermentative bacteria hold great promise for its generation. Here we use the isogenic Escherichia coli K‐12 KEIO library to rapidly construct multiple, precise deletions in the E. coli genome to direct the metabolic flux towards hydrogen production. Escherichia coli has three active hydrogenases, and the genes involved in the regulation of the formate hydrogen lyase (FHL) system for synthesizing hydrogen from formate via hydrogenase 3 were also manipulated to enhance hydrogen production. Specifically, we altered regulation of FHL by controlling the regulators HycA and FhlA, removed hydrogen consumption by hydrogenases 1 and 2 via the hyaB and hybC mutations, and re‐directed formate metabolism using the fdnG, fdoG, narG, focA, fnr and focB mutations. The result was a 141‐fold increase in hydrogen production from formate to create a bacterium (BW25113 hyaB hybC hycA fdoG/pCA24N‐FhlA) that produces the largest amount of hydrogen to date and one that achieves the theoretical yield for hydrogen from formate. In addition, the hydrogen yield from glucose was increased by 50%, and there was threefold higher hydrogen production from glucose with this strain.
WSDM Cup 2017: Vandalism Detection and Triple Scoring

The WSDM Cup 2017 was a data mining challenge held in conjunction with the 10th International Conference on Web Search and Data Mining (WSDM). It addressed key challenges of knowledge bases today: quality assurance and entity search. For quality assurance, we tackle the task of vandalism detection, based on a dataset of more than 82 million user-contributed revisions of the Wikidata knowledge base, all of which annotated with regard to whether or not they are vandalism. For entity search, we tackle the task of triple scoring, using a dataset that comprises relevance scores for triples from type-like relations including occupation and country of citizenship, based on about 10,000 human relevance judgments. For reproducibility sake, participants were asked to submit their software on TIRA, a cloud-based evaluation platform, and they were incentivized to share their approaches open source.
RSE : LA CONTRIBUTION DES ONG À LA PERFORMANCE GLOBALE DES ENTREPRISES RESPONSABLES

Cette these de doctorat en sciences de gestion interroge les impacts des collaborations entre les entreprises et la sphere non gouvernementale. Elle envisage en ce sens dans quelle mesure les ONG contribuent a la performance globale des firmes a travers leur responsabilite sociale. L’etat de l’art qui porte sur les mots cles de notre sujet a permis de souligner un triple elargissement au sein des entreprises : premierement, une ouverture de leur gouvernance qui se traduit par l’introduction de nouvelles parties prenantes dans le coeur nevralgique des societes ; deuxiemement, un approfondissement de la performance qui n’est plus abordee uniquement sous un angle economique et financier, mais egalement sous ses aspects sociaux, environnementaux et societaux ; et enfin, un developpement des outils de mesure de la performance. En effet, le reporting economique est desormais complete par des rapports de developpement durable. Cet elargissement des outils de mesure est parfois caracterise par un reporting integre qui systematise le lien entre le financier et l’extra-financier. Les enjeux de cette recherche qualitative a vocation exploratoire sont triples : il s’agit tout d’abord de comprendre l’implication des acteurs en caracterisant leur posture dans les partenariats, mais aussi en faisant la lumiere sur leurs motivations a collaborer. Puis, il s’agit de determiner les modalites des partenariats qui existent entre les firmes et les ONG, en specifiant la notion de « dialogue » et les caracteristiques des partenariats strategiques. Enfin, il s’agit de mesurer la contribution des ONG a la performance globale en analysant ses impacts sous le prisme d’une performance quadri-axiale et plus specifiquement en ayant recours au cadre methodologique du Reporting Integre. Nos travaux se sont concretises par l’etude documentaire et statistique de 301 entreprises ainsi que des ONG qui gravitaient autour de leur sphere socio-economique. Puis, nous avons a partir de cet echantillon realise 44 entretiens semi-directifs aupres d’entreprises et d’ONG et avons complete notre recherche par une etude de cas sur le partenariat strategique entre Michelin et le WWF. Lors de cette etude de cas nous avons a la fois interroge des parties prenantes internes a cette collaboration, comme les responsables en charge de la cooperation, mais aussi des parties prenantes externes, comme le Directeur General Delegue de l'International Integrated Reporting Council (IIRC) ou encore le Directeur General du Syndicat des Professionnels du Pneu (SPP).