Miracle-dz/UniFAR-FTUs huggingface dataset:
Homologie en Programmation Génétique Application à la résolution d'un problème inverse

Les Algorithmes Evolutionnaires (AE) sont des methodes de recherche par iteration de selections et de variations aleatoires sur une population de solutions potentielles. La Programmation Genetique (PG) est un AE qui permet la recherche automatique de programmes et qui manipule des representations complexes : arbres (PGA) ou listes de longueur variables (PGL). Les variations aleatoires permettant de creer de nouveaux programmes peuvent etre des modifications locales (mutations) ou des recombinaisons de programmes (croisements). L'operateur de croisement recombine aleatoirement des sous-parties de programmes sans tenir compte du contexte : c'est une operation «brutale» qui est une des causes supposees de la croissance incontrolee de la taille des programmes. Inspires par la recombinaison homologue de l'ADN, nous definissons, le Croisement par Maximum d'Homologie (CMH) pour la PGL. A partir d'une mesure de similarite entre les expressions a recombiner, le CMH favorise les echanges qui respectent les structures communes preexistantes. La capacite du CMH a effectuer une recherche moins brutale et a permettre un controle precis de la taille des programmes est mise en evidence sur des problemes classiques de PG comme l'approximation de fonctions par regression symbolique. En partant des differents resultats obtenus, nous appliquons notre methode a la resolution d'un probleme reel : l'inversion des composantes atmospheriques. De plus, nous montrons comment, a cout constant, il est possible de rechercher des combinaisons de modeles inverses dont les performances sont superieures aux modeles standards.
Comprehensive nonlinear seismic performance assessment of MR damper controlled systems using virtual real‐time hybrid simulation

Magnetorheological (MR) dampers have gained significant attention in seismic mitigation of structural systems due to their distinguished characteristics such as inherent stability and minimum power requirements. Their performance in control of nonlinear structural response, however, has not been widely investigated. This paper provides comprehensive nonlinear seismic performance assessment of a three‐story benchmark structure equipped with a large‐scale MR damper using virtual real‐time hybrid simulation to efficiently capture the nonlinear behavior of the damper. The framework is first verified by means of available experimental results of an actual RTHS on the same structural system. A set of 12 earthquake ground motions, each one scaled to have 12 different intensities are then utilized to perform nonlinear dynamic analyses. An energy‐based adaptive passive‐on control strategy is proposed, and its performance is compared with passive‐on, passive‐off, and uncontrolled response of the structure in terms of interstory drifts shown by fragility curves, residual drifts, MR damper control force, and the ability to maintain a uniform interstory drift along the height of the structure.
Biosorption of copper( II ) and manganese( II ) from waste water using low cost bio adsorbents

: Two low cost bio adsorbents such as corn cob (CC) and Strychnouspotatorum seed powder (SPSP) were used for the removal of copper( II ) and manganese( II ) from industrial waste water and presented in this paper. Raw powders of the two adsorbents were prepared and used for the study. Batch adsorption experimentation was adopted to investigate the adsorption kinetics, isothermal studies and removal efficiency of the two adsorbents. Effect of pH, contact time, initial metal concentration and temperature were also stud-ied. Adsorption of copper( II ) and manganese( II ) was optimized at a pH of 5, temperature of 40ºC, in a time period of 60 min using the two adsorbents. By using CC and SPSP as adsorbents 99.7% of copper( II ) and 99.8% of manganese( II ) were removed. This was achieved by using 0.4 g dosage of the adsorbents. Removal of copper( II ) and manganese( II ) followed pseudo-second order reaction kinetics. Isothermal studies indicated that the removal the selected heavy metals follows Langmuir adsorption isotherm model. Maximum adsorption capacity was found to be 6.24 mg/g for the two adsorbents. These adsorbents were found to be advantageous in removing the chosen metals from water as they avoid laborious and time consuming chemical treatment methods. Hence the method was found to be cost effective, advantageous and simple.
Stress Level Assessment of an Individual using Neural Networks based on Tweets

Stress in workplace is deteriorating both physical and mental health of an individual. It also makes the individual less productive and less efficient in work. It is necessary to assess the stress level before coping with it. There are so many methodologies that are used to detect stress. Inspired by psychological research stating that people feel more comfortable to express feelings on social media than through verbal communication, we are proposing a simple model to assess the stress level of an individual which can prevent psychological complications. In this paper, we propose a system similar to twitter that analyzes the stress level of an individual which can be viewed by the admin. Main emphasis is laid on stress level detection using Neural Networks and Semantic Similarity. Dataset, consisting of the stressed words is trained. Then, we find the similarity between tweet content and the trained dataset using Leacock and Chodorow’s (LCH) semantic similarity between words. Results show the stress level of each individual based on his/her tweet/s.
ALTERATION OF COAGULATION PROFILE IN MALARIA PATIENTS AND ITS CORRELATION WITH DEGREE OF PARASITEMIA.

Worldwide 3.2 million people are prone to malaria disease caused by Plasmodium species including Plasmodium falciparum and Plasmodium vivax while P. falciparum is the leading cause of deaths due to abrupt development of infection along with severe complications. It is known as the fifth leading cause of infectious diseases. The hold on the disease seemed to be difficult due to the ability of a parasite to create resistance in response to drugs and almost 85% reported cases of malaria were caused by falciparum species which is mostly found in the warmer and moist areas of the globe. This study considered the 100 patients and obtained repercussions of malarial patients indicate that 35.9% of cases of P. falciparum and 64.1 % cases of malaria were due to P.vivax. The mean values of age for patients and the control group was 25.35 ± 14.4 years. As the p-value for coagulation profile including APTT, PT, and d dimer was greater than 0.05. The platelet counts were measured both in P. vivax and P. falciparum malaria patients correlated with the degree of parasitemia as the P-value is less than 0.001 while the degree of correlation r = 0.894. Coagulation profile for P. vivax patients shows the normal PT and APTT while greater PT and APTT values in infected patients of P. falciparum were correlated with the degree of parasitemia as r = 0.0892. The percentage base on determining parasitic load was 53.3% of patients with a mild degree of parasitemia, 29.3% with moderate, and 17.4% suffered from severe parasitemia. Most coagulation abnormalities have risen because of liver involvement.
THE EFFECT OF CSR ON ORGANIZATIONAL COMMITMENT WITH MODERATING ROLE OF EMOTIONAL INTELLIGENCE; EVIDENCE FORM PHARMACEUTICAL COMPANIES

: The concept of corporate social responsibility is emerging in every country therefore this study focused on the role of CSR on organizational commitment with moderating role of emotional intelligence. The data was collected from 127 employees working in pharmaceutical companies of Thailand, Bangkok. AMOS was used to find the results and it is revealed that there is positive and significant relationship between CSR and organizational commitment although there is significant moderating effect of emotional intelligence among relationship among CSR and organizational commitment. Moreover this study only focused on affective commitment which is important element and mostly studied.
Postrepression Activation of NF- k B Requires the Amino-Terminal Nuclear Export Signal Speciﬁc to I k B a

One of the most prominent NF- k B target genes in mammalian cells is the gene encoding one of its inhibitor proteins, I k B a . The increased synthesis of I k B a leads to postinduction repression of nuclear NF- k B activity. However, it is unknown why I k B a , among multiple I k B family members, is involved in this process and what signiﬁcance this feedback regulation has beyond terminating NF- k B activity. Herein, we report an important I k B a -speciﬁc function dictated by its amino-terminal nuclear export sequence (N-NES). The I k B a N-NES is necessary for the postinduction export of nuclear NF- k B, which is a critical event in reestablishing a permissive condition for NF- k B to be rapidly reactivated. We show that although I k B a and another I k B member, I k B b , can enter the nucleus and repress NF- k B DNA-binding activity during the postinduction phase, only I k B a allows the efﬁcient export of nuclear NF- k B. Moreover, swapping the N-terminal region of I k B b for the corresponding I k B a sequence is sufﬁcient for the I k B chimera protein to export NF- k B similarly to I k B a during the postinduction state. Our ﬁndings provide a mechanistic explanation of why I k B a but not other I k B members is crucial for postrepression
Breast Cancer Image Classification Using the Convolution Neural Network

Breast cancer is a type of tumour and the disease with the second-leading cause of death among women. Physicians diagnose the disease through tumour classification and decide whether it is malignant or benign. However, to accurately perform the classification is not an easy task, even by experts. Thus, diagnostic system automation is required to assist physicians in accurately diagnosing malignant tumours as cancer in the early stages. This paper attempts to improve the accuracy of breast cancer detection by utilising the deep learning convolution neural network (CNN). Experiments were conducted using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Compared to existing techniques, the use of CNN shows a better result and achieves 99.66% in terms of accuracy.
Global Identiﬁcation of Multiple Substrates for Plasmodium falciparum SUB1, an Essential Malarial Processing Protease (cid:1) †

The protozoan pathogen responsible for the most severe form of human malaria, Plasmodium falciparum , replicates asexually in erythrocytes within a membrane-bound parasitophorous vacuole (PV). Following each round of intracellular growth, the PV membrane (PVM) and host cell membrane rupture to release infectious merozoites in a protease-dependent process called egress. Previous work has shown that, just prior to egress, an essential, subtilisin-like parasite protease called PfSUB1 is discharged into the PV lumen, where it directly cleaves a number of important merozoite surface and PV proteins. These include the essential merozoite surface protein complex MSP1/6/7 and members of a family of papain-like putative proteases called SERA (serine-rich antigen) that are implicated in egress. To determine whether PfSUB1 has additional, previously unrecognized substrates, we have performed a bioinformatic and proteomic analysis of the entire late asexual blood stage proteome of the parasite. Our results demonstrate that PfSUB1 is responsible for the proteolytic processing of a range of merozoite, PV, and PVM proteins, including the rhoptry protein RAP1 (rhoptry-associated protein 1) and the merozoite surface protein MSRP2 (MSP7-related protein-2). Our ﬁndings imply multiple roles for PfSUB1 in the parasite life cycle, further supporting the case for considering the protease as a potential new antimalarial drug target.
Institutional Knowledge at Singapore Management University Fast Object Search on Road Networks

In this paper, we present ROAD , a general framework to evaluate Location-Dependent Spatial Queries (LDSQ)s that searches for spatial objects on road networks. By exploiting search space pruning technique and providing a dynamic object mapping mechanism, ROAD is very eﬃcient and ﬂexible for various types of queries, namely, range search and nearest neighbor search, on objects over large-scale networks. ROAD is named after its two components, namely, Route Overlay and Association Directory , designed to address the network traversal and object access aspects of the framework. In ROAD, a large road network is organized as a hierarchy of interconnected regional sub-networks (called Rnets ) augmented with 1) shortcuts for accelerating network traversals; and 2) object abstracts for guiding traversals. In this paper, we present (i) the Rnet hierarchy and several properties useful to construct Rnet hierarchy, (ii) the design and implementation of the ROAD framework, (iii) eﬃcient object search algorithms for various queries, and (iv) incremental update techniques for framework maintenance in presence of object and network changes. We conducted extensive experiments with real road networks to evaluate ROAD. The experiment result shows the superiority of ROAD over the state-of-the-art approaches.
STABILITY OF PERIODIC SOLUTIONS FOR LIPSCHITZ SYSTEMS VIA THE METHOD

Existence and asymptotic stability of the periodic solutions of the Lipschitz system x (cid:1) ( t ) = εF ( t,x,ε ) is hereby studied via the averaging method. The traditional C 1 dependence of F ( s, · ,ε ) on z is relaxed to the mere strict diﬀerentiability of F ( s, · , 0) at z = z 0 for ε = 0, giving room to potential applications for structured nonsmooth systems.
Efﬁcacy of a Vaccine Based on Protective Antigen and Killed Spores against Experimental Inhalational Anthrax (cid:1) ‡

Protective antigen (PA)-based anthrax vaccines acting on toxins are less effective than live attenuated vaccines, suggesting that additional antigens may contribute to protective immunity. Several reports indicate that capsule or spore-associated antigens may enhance the protection afforded by PA. Addition of formalde- hyde-inactivated spores (FIS) to PA (PA-FIS) elicits total protection against cutaneous anthrax. Nevertheless, vaccines that are effective against cutaneous anthrax may not be so against inhalational anthrax. The aim of this work was to optimize immunization with PA-FIS and to assess vaccine efﬁcacy against inhalational anthrax. We assessed the immune response to recombinant anthrax PA from Bacillus anthracis (rPA)-FIS administered by various immunization protocols and the protection provided to mice and guinea pigs infected through the respiratory route with spores of a virulent strain of B. anthracis . Combined subcutaneous plus intranasal immunization of mice yielded a mucosal immunoglobulin G response to rPA that was more than 20 times higher than that in lung mucosal secretions after subcutaneous vaccination. The titers of toxin-neutral-izing antibody and antispore antibody were also signiﬁcantly higher: nine and eight times higher, respectively. The optimized immunization elicited total protection of mice intranasally infected with the virulent B. anthracis strain 17JB. Guinea pigs were fully protected, both against an intranasal challenge with 100 50% lethal doses (LD 50 ) and against an aerosol with 75 LD 50 of spores of the highly virulent strain 9602. Conversely, immu- nization with PA alone did not elicit protection. These results demonstrate that the association of PA and spores is very much more effective than PA alone against experimental inhalational anthrax.
Public-Private Partnerships: Addressing a Nebulous Concept

is a of the meaning of the concept public-private partnership (PPP). Much is written on the subject but do an adequate account of what they mean when they talk about PPP, nor do they acknowledge that there exist qualitatively different PPP research traditions. The lack of conceptual clarity leads to false statements about PPP, since what is true for one specific PPP-type does not necessarily apply to other forms of PPP. This paper reviews the literature on PPP and argues that there exist at least five distinct approaches in the burgeoning PPP literature with different origins and that it is vital for analytical clarity that authors place themselves within one of these traditions when doing research on PPP.
Real-Time Swarm Search Method for Real-World Quadcopter Drones

This paper proposes a novel search method for a swarm of quadcopter drones. In the proposed method, inspired by the phenomena of swarms in nature, drones effectively look for the search target by investigating the evidence from the surroundings and communicating with each other. The position update mechanism is implemented using the particle swarm optimization algorithm as the swarm intelligence (a well-known swarm-based optimization algorithm), as well as a dynamic model for the drones to take the real-world environment into account. In addition, the mechanism is processed in real-time along with the movements of the drones. The effectiveness of the proposed method was verified through repeated test simulations, including a benchmark function optimization and air pollutant search problems. The results show that the proposed method is highly practical, accurate, and robust.
TNF- a reduces PGC-1 a expression through NF- k B and p38 MAPK leading to increased glucose oxidation in a human cardiac cell model

Aims Inﬂammatory responses in the heart that are driven by sustained increases in cytokines have been associated with several pathological processes, including cardiac hypertrophy and heart failure. Emer- ging data suggest a link between cardiomyopathy and myocardial metabolism dysregulation. To further elucidate the relationship between a pro-inﬂammatory proﬁle and cardiac metabolism dysregulation, a human cell line of cardiac origin, AC16, was treated with tumour necrosis factor- a (TNF- a ). Methods and results Exposure of AC16 cells to TNF- a inhibited the expression of peroxisome proliferator-activated receptor coactivator 1 a ( PGC-1 a ), an upstream regulator of lipid and glucose oxidative metab- olism. Studies performed with cardiac-speciﬁc transgenic mice ( Mus musculus ) overexpressing TNF- a , which have been well characterized as a model of cytokine-induced cardiomyopathy, also displayed reduced PGC-1 a expression in the heart compared with that of control mice. The mechanism by which TNF- a reduced PGC-1 a expression in vitro appeared to be largely mediated via both p38 mitogen-activated protein kinase and nuclear factor- k B pathways. PGC-1 a downregulation resulted in an increase in glucose oxidation rate, which involved a reduction in pyruvate dehydrogenase kinase 4 expression and depended on the DNA-binding activity of both peroxisome proliferator-activated receptor b / d and estrogen-related receptor a transcription factors. Conclusion These results point to PGC-1 a downregulation as a potential contributor to cardiac dysfunction and heart failure in metabolic disorders with an inﬂammatory background.
Stress–Dilatancy For Crushed Latite Basalt

Abstract In this article, the stress–dilatancy relationship for crushed latite basalt is analysed by using Frictional State Theory. The relationship is bilinear, and the parameters α and β determine these two straight lines. At the initial stage of shearing, the mean normal stress increment mainly influences breakage, but at the advanced stage, it is shear deformation that influences breakage. At the advanced stage of shearing, the parameter αpt represents energy consumption because of breakage and βpt mainly represents changes in volume caused by breakage during shear. It is also shown that breakage effect is significant at small stress levels and the η-Dp plane is important to fully understand the stress–strain behaviour of crushed latite basalt in triaxial compression tests.
On the Use of LoRa Technology for Logic Selectivity in MV Distribution Networks

In this paper, a logic selectivity system based on Long Range (LoRa) technology for the protection of medium-voltage (MV) networks is proposed. The development of relays that communicate with each other using LoRa allows for the combination of the cost-effectiveness and ease of installation of wireless networks with long-range coverage and reliability. The realized demonstrator to assess the proposed system is also presented in the paper; based on different types of faults and different locations, the times needed for clearing a fault and restoring the network were estimated from repeated experiments. The obtained results confirm that, with an optimized design of transmitted packets and of protocol characteristics, LoRa communication grants fault management that meets the criteria of logic selectivity, with fault isolation occurring within the maximum allowed time.
Institutional Knowledge at Singapore Management University

P300 speller is a communication tool with which one can input texts or commands to a computer by thought. The amplitude of the P300 evoked potential is inversely proportional to the probability of infrequent or task-related stimulus. In existing P300 spellers, rows and columns of a matrix are intensified successively and randomly, resulting in a stimulus frequency of 1/N (N is the number of rows or columns of the matrix). We propose a new paradigm to display each single character randomly and individually (therefore reducing the stimulus frequency to 1/(N*N)). On-line experiments showed that this new speller significantly improved the performance. Specifically, the new speller can reduce character classification error rate by up to 80% or double the information transfer rate compared to the existing P300 spellers.
Generating Enhanced Natural Environments and Terrain for Interactive Combat Simulations (Genetics) / IMAGE 2005 Conference

Virtual battlefields devoid of vegetation deprive soldiers of valuable training in the critical aspects of terrain tactics and terrain-based situational awareness. Barren landscapes fail to provide trainees with necessary visual cues required to grasp the scale of their surroundings. Without the cover of vegetation, targets are easily visible from the air. Line of sight calculations become simply a matter of sorting elevations. There is a need to (re)introduce vegetation into the virtual battlefield to improve training effectiveness while minimizing the expenses typically incurred building such terrains. This paper discusses the current state of the open source project GENETICS and how simulationists can use GENETICS to quickly and cheaply build large-scale natural environments to improve training effectiveness. It will also briefly touch upon level-of-detail techniques and ecotype modeling and how GENETICS is used to generate land cover data where none exists.
Multiple Fault Detection and Isolation in Target Tracking Using Liner Prediction Techniques

— This paper proposes schemes for fault detection and isolation in a multi-fault setting. Now-a-days, sensor fault and failure are important issue in various wireless sensor networks. This works suggests a few algorithms based on simple phenomenon of data fusion. Initially, a mutual consensus has been developed among followers (e.g. UAVs in this case) who are tracking the same target. Having known the followers relative positions w.r. t. target, a median is computed by each follower. This median is then shared with neighbours to compare with their estimated values about the target position. If estimation is beyond the defined limits, the follower (sensor) is detected as faulty otherwise healthy. Three different types of induced faults are discussed here as: follower – target or line of communication fault, follower – follower or communication with neighbour fault and simultaneously these two faults. A generalized scenario with definit formation of these followers has been considered to elaborate these faults.