Miracle-dz/UniFAR-FTUs huggingface dataset:
Computation the Weak Berge Equilibrium in Finite 3-Person Games

Various concepts of solutions can be employed in non-cooperative game theory. A Berge equilibrium is one such solutions. The Berge equilibrium is altruistic concept of equilibrium. In this concept, the players act on the principle of “One for all and all for one! ” The Berge equilibrium solves such well known paradoxes in game theory as the “Prisoner’s Dilemma”, “Battle of the sexes” and many others. At the same time, Berge equilibrium rarely exists in pure strategies. Moreover, in finite games, the Berge equilibrium may not exist in the class of mixed strategies. The paper proposes the concept of a weak Berge equilibrium. Unlike the Berge equilibrium, the moral basis of this equilibrium is the Hippocratic Oath “First do no harm”. On the other hand, all Berge equilibria are some weak Berge equilibria. The existence of weak Berge equilibrium in mixed strategies has been established for finite games. A numerical weak Berge equilibrium approximate search method, based on 3LP-algorithm, was proposed. The weak Berge equilibrium for finite three-person non-cooperative games were computed.
EFFECT OF PHOSPHORUS DEFICIENCY ON TWO ALGAE GROWING IN CHEMOSTATS 1

phosphorus‐limited chemostats were used to study the effect of degree of phosphorus deficiency on several aspects of the composition and metabolism of Anabaena variabilis Kütz. and Scenedesmus quadricauda (Turp.) Bréb. The changes as a function of the dilution rate could be placed into 3 patterns. Most aspects of the composition showed it progressive change with dilution rate. The carbohydrate content generally increased while cellular P and nitrogen, protein, nucleic acid and chlorophyll contents generally decreased over the entire range of increasing deficiency studied. The changes in metabolism fell into a second pattern, showing great sensitivity to the onset of P deficiency. The ability to take up phosphate and the alkaline phosphatase activity increased most markedly with increasing deficiency at the higher dilution rates. The third pattern was confined to the, lipid content of S. quadricauda, which increased with deficiency only at the lowest dilution rates.
Some aquatic insects and invertebrates as bioindicators for the evaluation of bacteriological pollution in El-Zomor and El-Mariotya canals, Giza, Egypt

Some aquatic insects and invertebrates were used for monitoring t he effect of bacteriological pollution upon water quality during two years (October, 2001- August, 2003) at six sampling sites situated at El -Zomor and El-Mariotya canals (branches from the River Nile), Giza Governorate, Egypt. Results obtained revealed that 5 species of bacteria (Escherichia coli, Klebsiella pneumonia, Enterococcus faecalis, Streptococcus faecium & Proteus mirabilis) were detected from water samples. K. pneumonia, S. faecium and P. mirabilis were not detected at IIIZ site and; S. faecium was not detected at IIZ sampling site. Meanwhile only two species (E. coli & E. faecalis) were detected in all El -Mariotya canal sampling sites. E. coli & E. faecalis showed high bacterial counts during summer months. The bacterial species isolated from aquatic insects belong to different orders mainly Diptera ; Ephemeroptera and Odonata; however, there is no isolation of bacteria from aquatic inv ertebrate belonging to orders Cladocera & Cyclopoida. The 5 bacterial species that were detected in the water samples were isolated from the collected aquatic insects at IZ sampling site, while at IIZ sampling site 4 species (E. coli, K. pneumonia, E. faecalis & P. mirabilis) and only two species (E. coli & E. faecalis) at IIIZ sampling sit e. However, only 2 species of bacteria (E. coli & E. faecalis) were isolated from ElMariotya canal. It is clear that some aquatic stages of Diptera, Ephemeroptera and Odonata could be selected as bioindicator of water bacterial pollution .
EFFECT OF PROTEIN DIET SUPPLEMENTATION IN HUMORAL, CELL MEDIATED IMMUNE RESPONSE AND ANTIOXIDANT STATUS IN PLASMODIUM YOELII INFECTED BLOOD OF SWISS MICE (MUS MUSCULUS)

Plasmodium yoelii like many other parasitic protozoans is deficient of having the advantage of the de novo pathway for purine biosynthesis and starkly acts upon the salvage pathway. It is the causative agent of Malaria. A new approach can be designed by understanding the regulatory mechanism of immune response during the Plasmodium infection. Plasmodium-specific CD4+ αβ T cells and antibody are mostly important for the immune response during the infection. It has been reported that NK cell-derived IFN-γ that contributes to the early control of Plasmodium chabaudi and Plasmodium yoelii infections. Protein availability for the metabolic processes, the major reservoir in the lean body mass is represented by muscle. During this disease significant reductions in lean tissue or by extension, the muscle mass will attenuate the immunological response, as well as reduce physical activity. The provision of protein in the diet could meet some of the requirements of amino acids for the immune and restorative response. The influence of infection on protein nutritional status has been extensively reviewed in earlier stage of malaria.
COMMUNITY STRUCTURES OF ENDOPHYTIC ACTINOBACTERIA FROM MEDICINAL PLANT CENTELLA ASIATICA L. URBAN-BASED ON METAGENOMIC APPROACH

Objective: This study aimed to assess the community structure of actinobacteria in rhizosphere and endophyte of a medicinal plant, Centella asiatica , based on a metagenomic approach using Polymerase Chain Reaction-Denaturing Gradient Gel Electrophoresis (PCR-DGGE) of 16S rRNA gene. Methods: Total genomic DNA was extracted from the rhizosphere and plant tissue followed by PCR amplification of actinobacterial 16S rRNA gene using nested PCR. The community structure of actinobacteria was analyzed using the DGGE techniques on polyacrylamide gels. PCR products of excised bands result from polyacrylamide gel were sequenced and analyzed by bioinformatics software to construct a phylogenetic tree. Results: The results of separation in DGGE gel showed 16 major bands from rhizosphere and plant tissue. The bands distribution pattern showed that the community of actinobacteria in the plant tissue was slightly more diverse than rhizosphere, although it is not significantly different based on Shannon-Wiener analysis. The BLAST. N analysis showed that 7 bands related to Streptomycetaceae (83-100%), 5 bands related to Micromonosporaceae (99-100%), 1 bands related to Gordoniaceae (99%) and 3 bands still belonged to unculturable (87-99%). There were 6 genera under those 3 families, i.e. Streptomyce s, Micromonospora , Verrucosispora , Actinoplanes , Couchioplanes , and Gordonia . The percentage of strain similarity comparison to the database showed that there were 4 bands with<97% maximum identity which may be related to novel endophytic actinobacteria in C. asiatica . Conclusion: Diversity of endophytic actinobacteria based on a metagenomic approach using 16S rRNA gene-targeted PCR-DGGE analysis was found associated with C . asiatica . Several of them may have potency as novel actinobacteria and can be further explored for their medicinal function. Keywords: Centella asiatica , PCR-DGGE, Endophytic Actinobacteria, Metagenomic, 16S rRNA
Selected purified plant compounds as possible inhibitors of rv1819c a drug efflux pump (abc protein) from mycobacterium tuberculosis

Multidrug-resistant tuberculosis (MDR-TB) is among the most worrisome aspects of the pandemic of antibiotic resistance because TB patients that fail treatment have a high risk of death. The active multidrug efflux pump (EP) has been described as one of the mechanisms involved in the natural drug resistance of bacteria, such as mycobacteria. Rv1819c a putative efflux pump ATP binding cassette (ABC) protein gene from Mycobacterium tuberculosis , was cloned and transformed into Corynebacterium glutamicum. Susceptibility to standard anti-TB drugs and purified plant compounds, in the presence or absence of standard efflux pump inhibitors (EPIs), carbonyl cyanide m-chlorophenylhydrazone (CCCP), reserpine and verapamil) was determined. A fluorometric method was used to assess the ability of the purified plant compounds to inhibit efflux pumps in comparison with three standard EPIs: reserpine, verapamil, and CCCP. Three of the plant compounds coded Ma8, IXLE1B and IXLE2FA were found to have potent antibacterial activity with the extract from Mammea africana (Ma8) being the most potent with an MIC of 4 mg/L. The three purified plant extracts were also shown to reduce the efflux of ciprofloxacin from the mycobacteria cells. The plant extracts have the potential to augment conventional drugs in the treatment of drug resistant M. tuberculosis upon further studies.
Histochemical studies on water hyacinth with particular reference to water pollution

of water hyacinth (Eichhornia crassipes (Mart.) Solms)) was carried out to localize the heavy metals and to assess the effects of accumulation within the plants. The studies revealed that only the epidermis and vascular bundles of the roots and petiole were stained indicating that these regions were responsible for conducting heavy metals. The leaf sections showed deeply stained palisade tissues, which showed that the metals were accumulated within the leaves only.
Phylogéographie moléculaire du mérou brun de Méditerranée occidentale (Epinephelus marginatus (Lowe, 1834), Teleostei, Serranidae)

Faure E. , A. Gilles, A. Miquelis, M.H. Kara, J.-P. Quignard, 1999 - Phylogeographie moleculaire du merou brun de Mediterranee occidentale (Epinephelus marginatus (Lowe, 1834), Teleostei, Serranidae). Mar. Life, 9 (1) : 31-35. Les relations phylogeniques intraspecifiques entre vingt-neuf individus d'Epinephelus marginatus (Lowe, 1834) provenant de la Mediterranee occidentale (Algerie, France, Tunisie) ont ete etudiees. Une portion du gene codant le cytochrome b a ete sequencee (353 paires de bases) et 64 bases se sont revelees etre phylogenetiquement informatives. Les arbres phylogenetiques obtenus (methodes de parcimonie et de distance) montrent que les sequences de merou se separent en deux groupes. L'un, nomme groupe A, contient une partie des merous algeriens et l'autre, nomme groupe B, comprend tous les merous francais et tunisiens, ainsi que des merous algeriens. Pour expliquer ces resultats, plusieurs hypotheses peuvent etre formulees : presence en Algerie d'une espece cryptique, ou d'hybrides ou d'individus issus d'une population atlantique. Dans le futur, une analyse phylogenetique plus detaillee pourrait s'averer etre utile dans le choix des decisions a prendre pour proteger le merou brun.
Integrated Wideband Frequency-Hopping Radar System for See-Through-Wall Sensor Application

A wideband stepped-frequency continuous wave-form radar transceiver is designed in a 130-nm CMOS technology. The designed system operates from 2 to 4 GHz, targeting a range/standoff-distance of 20 m and range resolution of 7.5 cm. A two-way wall obstruction loss of 23 dB is measured at 3.5 GHz. The waveform, system parameters, and wall properties are used to derive the integrated circuit (IC) based transceiver specifications. The designed receiver has a conversion gain of 48.65 dB, NF of 7.8 dB, 1-dB compression point of -31 dBm, -4.31 dBm of out-of-band IIP3 at 60 MHz offset and S11 better than -10 dB across the targeted bandwidth.
Child Passenger Safety in the United Arab Emirates: A Review

Road traffic accidents are the main cause of mortality, morbidity and disability for children in the United Arab Emirates and pose a severe economic and public health burden on the population. An appropriate use of a child restraint system can significantly reduce injuries and fatalities for children vehicle occupants in an event of a crash. However, despite the flurry of continuous and consistent calls for child occupant safety legislation for over three decades, research in key areas of child passenger safety which are vital for paediatric vehicle safety regulations, legislations, certifications and recommendations is surprisingly lacking. To date, no research has been conducted relevant to the areas of child anthropometry and automotive safety, paediatric injury biomechanics and numerical modelling and crash simulations of child restraint systems. This has led to the promulgation of child passenger safety legislation which is not in tune with the reality of child passenger safety in the country and also not in line with the best practice of child restraint legislation requirements of the world health organisation. Thus, relevant paediatric vehicle safety research such as the engineering analysis of child occupant injuries and fatalities is required in order to enhance the protection of child passengers in motor vehicles. A very strong synergy between both the medical and engineering disciplines would be necessary in order to improve paediatric occupant safety in the country.
Learning Based CoMP Clustering for URLLC in Millimeter wave 5G networks with Blockages

URLLC will be a use case of 5G which requires high reliability, low latency and high availability to be satisfied simultaneously. 5G will be using millimeter wave (mmw) communication which suffers from frequent and dynamic blockages impacting reliability. In addition to high SNR line-of-sight (LOS) links and low SNR non-line-of-sight (NLOS) links, complete outage (blockage) links are also anticipated. Link status will be changing dynamically between these three states. Coordinated multipoint joint transmission (CoMP-JT) is an ideal candidate to ensure high reliability, where a group of base stations (BSs) transmits the same data to a user equipment (UE). Due to highly dynamic blockages and backhaul constraints, BSs selected to be part of CoMP cluster based on the reference signal received power (RSRP) alone will be outdated by the time of data transmission. In this paper, a CoMP clustering scheme is proposed in which a neural network algorithm running in each BS learns the spatiotemporal pattern of blockages and predicts the BS-UE link status based on the clock time and location of UE. The BSs with predicted blockage shall be removed and LOS links shall be given higher priority over NLOS links during CoMP clustering, thereby increasing the reliability and availability. Analytical channel model is combined with stochastic geometry based model to characterize the real world spatio-temporal blockages. A modified control flow of events for CoMP-JT in URLLC is proposed to address the issue of backhaul constraints. Simulation results show that the proposed CoMP clustering scheme outperforms the RSRP based CoMP clustering in terms of BLER and SNR.
Capoeta mauricii n. sp., a new species of cyprinid fish from Lake Beyşehir, Turkey

Abstract Capoeta mauricii n. sp. is described from the Lake Beyşehir drainage, in Central Anatolia, Turkey. It is distinguished from other Anatolian Capoeta by having the lips somewhat fleshy and lower lip with developed lateral lobes; a few irregular small black spots on the dorsal and lateral body, dorsal and caudal fins in individuals approximately smaller than 170 mm SL, and body, head and fins plain and without black spots in larger individuals (SL>200 mm); 80–87 total lateral line scales, 18–22 scales between dorsal fin origin and lateral line, 11–14 scales between the anal-fin origin and the lateral line, 16–18 gill rakers on outer side of first gill arch, and small black spots on head, body, and fins.
Mechanism of context-aware and adaptive data collection, aggregation and analysis

With the arrival of 5G, networks will increase in complexity, heterogeneity and scale. Further, 5G is expected to cater to a diverse use cases with widely varying performance requirements with the help of network slicing - extending beyond enhanced Mobile Broadband (eMBB), massive Machine Type Communication (mMTC) and Ultra-reliable Low Latency Communication (URLLC) use cases. Given this context, it is essential to ensure that service KPIs (Key Performance Indicators) are adhered to through timely detection of fault or performance issues to enable resolution in accordance with the use case's requirements. The monitoring framework should thus enable timely detection of fault or performance issues based on service/slice KPIs under dynamic network conditions, taking into consideration user characteristics, location and other relevant criteria. This paper presents a context-aware and adaptive network data collection, aggregation and analysis framework for effective fault or performance anomaly-detection based on context (location, user and service/slice characteristics, environment factors), dynamic network conditions and service/slice target KPIs. An open-source based implementation of the proposed solution is also presented.
Drift-Free Latent Space Representation for Soft Strain Sensors

Soft strain sensors are becoming increasingly popular for obtaining tactile information in soft robotic applications. Diverse technological solutions are being investigated to design these sensors. Simultaneously, new methods for modeling these sensor are being proposed due to their highly nonlinear, time varying properties. Among them, machine learning based approaches, particularly using dynamic recurrent neural networks look the most promising. However, these complex networks have large number of free parameters to be tuned, making it difficult to apply them for real-world applications. This paper introduces the concept of transfer learning for modelling soft strain sensors, which allows us to utilize information learned in one task to be applied to another task. We demonstrate this technique on a passive anthropomorphic finger with embedded strain sensors used for two regression tasks. We show how the transfer learning approach can drastically reduce the number of free parameters to be tuned for learning new skills. This work is an important step towards scaling of sensor networks (algorithm-wise) and for using soft sensor data for high-level control tasks.
Deep Learning based Classification of Color Point Cloud for 3D Reconstruction of Interior Elements of Buildings

In architecture and engineering, the production of 3D models of various objects that are both simple and most closely related to reality is of particular importance. In this article, we are going to model different aspects of the interior of a building, which is performed in three general steps. In the first step, the existing point clouds of a room are semantically segmented using the PointNet Deep Learning Network. Each class of objects is then reconstructed using three methods including: Poisson, ball-pivoting and combined volumetric triangulation method and marching cubes. In the last step, each model is simplified by the methods of vertex clustering and edge collapse with quadratic error. Results are quantitatively and qualitatively evaluated for two types of objects, one with simple geometry and one with complex geometry. After selecting the optimal surface reconstruction method and simplifying it, all the objects are modeled. According to the results, the Poisson surface reconstruction method with a simplified edge collapse method provides better geometric accuracy of 0.1 mm for simpler geometry classes. In addition, for more complex geometry problems, the model produced by combined volumetric triangulation method and marching cubes with simplified edge collapse method was more suitable due to a higher accuracy of 0.022 mm.
DebriNet: An Opportunistic Software Defined Networking Framework over PSLV Debris

Satellite networking is of prime importance in the context of remote parts of the world, including the regions not served by cellular networks. However, high deployment cost and expensive end-user devices make satellite-based solutions infeasible in providing direct access to common man. Therefore, we propose DebriNet, a low-cost software-defined networking platform concept based on the rocket debris (called spent stages) which can be accessed using an ultra low-cost end-user device. DebriNet employs an opportunistic packet handover mechanism that makes use of the pre-calculated positions of the rocket bodies in orbits to ensure best-effort earliest packet delivery at the destination. We also propose a light-weight SDN software switch that implements link availability based packet forwarding functionality. The simulation studies on existing Polar Satellite Launch Vehicle debris (called PSLV Stage-4 or PS4) in their respective orbits in space using Systems Tool Kit (STK) simulator prove the feasibility of our network in terms of its connectivity. Our studies also reveal a significant improvement in throughput as well as delay performance on employing opportunistic packet handover among the debris. Further, we design low-cost hardware prototypes for PS4 onboard subsystem, end-user device, as well as ground-station which constitute the DebriNet architecture.
A New Diagnosis Method of PMSG for Wind Energy Conversion Systems Based on Direct power control

This paper investigates converter fault diagnosis for wind energy conversion system (WECS) based on permanent magnet synchronous generator. The direct power control (DPC) strategy is adopted to control the instantaneous active and reactive powers in order to maintain the DC bus voltage at the required level, using the PI controller in the DC voltage control loop. A fault detection scheme for switch device open-circuit faults is proposed in this study. The proposed diagnostic method is developed using mathematical transformations such as a hysteresis detector, an integrator and a trigger. Several simulation are displayed to show the effectiveness and feasibility of the proposed method.
Expandable Neuron Cell with Current-Steering DAC for Deep-Learning

For the past few years, AI and deep-learning got a second wind in the development of Brain neuroscience and Big data. In this paper, we describe an analog neuron model by using current-steering DAC circuit which uses analog circuits simulate the internal architecture of the neuron: Dendrites, axon, synapses and soma. The architecture we propose can achieve most of the network architecture, and the expandable neuron architecture that the hardware architecture can be adjusted according to the size of the system for better energy efficiency.
Symbolic Execution with Finite State Automata

Static analysis is an essential way to find code smells and bugs because it checks the source code without execution. Moreover, static analysis can help in software engineering comprehensively, since static analysis can be used for the validation of code style, evaluate software complexity and execute code refactorings, as well. Symbolic execution is a static analysis method where the variables are interpreted with symbolic values.Clang Static Analyzer is a powerful symbolic execution engine based on the Clang compiler infrastructure that can be used with C, C++ and Objective-C. Validation of resources’ usage (e.g. files, memory) requires finite state automata (FSA) for modeling the state of resource (e.g. locked or acquired resource). In this paper, we argue for an approach in which automata are in-use during the symbolic execution. In this approach, a generic automaton is used. The generic automaton can be customized for different resources. We present our domain-specific language to define automata. Our tool parses the automaton and generates checker for the symbolic execution engine. We present some generated checkers, as well.