Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactive visual grounding with neural networks

Training strategies for neural networks are not suitable for real time human-robot interaction. Few-shot learning approaches have been developed for low resource scenarios but without the usual teacher/learner supervision. In this work we present a combination of both: a situated dialogue system to teach object names to a robot from its camera images using Matching Networks (Vinyals et al., 2016). We compare the performance of the system with transferred learning from pre-trained models and different conversational strategies with a human tutor.
STATE SPONSORED POGROM: A CRITICAL DISCOURSE ANALYSIS OF FIRAQ AND PARZANIA

The role of state in safeguarding human life has been recognized across constitutional and legislative settings of all the countries. Particularly in the context of conflict ridden territories the state’s active role in diffusing violence is very critical. This research, through textual deconstruction of two films, Parzania and Firaq explains the role of Indian state in 2002 Gujarat Riots. The existing scholarship is assertive that Indian state played an active part in premeditating violence against Muslim minorities residing in Muslim dominated areas of rural and urban Gujarat. Critical Discourse Analysis has been used to critically analyse Parzania and Firaq. The research explains that the state not only premeditated the communal violence but also exercised brute force, physical and coercive forms of power against Muslim communes with an intention of demolishing the Muslim identity from the politico-religious landscape of Gujarat.
Development of Low Cost Solar Rack Dryer and Comparative Biochemical Quality Evaluation of Anchovies (Stolephorus commersonii) Dried in Sun and Solar Rack Dryer

Dry fish is referred to as poor man’s protein. Dry fish segment constitutes 20% of the total fish production in India. Marine fish drying is the most common form of processing throughout the coastal belt of India and is the cheapest means of fish value addition. The economic returns from fish drying still remains low because of the unhygienic drying practices, lack of adoption of scientific protocol for curing, improved drying practices International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 9 Number 3 (2020) Journal homepage: http://www.ijcmas. com
Timing and Space based Motion Detector Sysyem

A monitoring and alerting application is introduced in this project. IP Cameras are special cameras that stream the video feed into the internet as a video stream. This stream is captured and can be monitored for any unauthorized activities. Motion detection is done when movements are detected and the alarm goes ON if such movements are detected. Start the alarm feature by entering a password and clicking on start button. Enabled for both local cameras as well as IP cameras. Remote monitoring from any part of the world using a very efficient motion detection algorithm for better security. The detection of abandoned objects in videos from moving cameras is of great importance to automatic surveillance systems that monitor large and visually complex areas. This paper proposes a new method based on sparse decompositions to identify video anomalies associated with abandoned objects. The proposed scheme inherently incorporates synchronization between the reference (anomaly-free) and target (under analysis) sequences thus reducing the implementation complexity of the overall surveillance system. Results indicate that the proposed video-processing scheme can lead to 95% complexity reduction while maintaining excellent detection capability of foreground objects.
Under-sampling Patterns for Compressive Sensing MRI

─ Magnetic Resonance Imaging (MRI) is an efficient and popular technique used in biomedical field to capture images of different body organs. One of the limitations associated with this technique is its slow process of scanning. This is a major problem when patients comport and compliance is considered. There are several approaches developed for rapid MRI scan. But these techniques will not provide significant reduction in scan time since all these are developed by satisfying Nyquist sampling criteria. Recently the theory of undersampling referred as Compressive sensing (CS) has been developed. By applying CS into MRI, imaging time can be reduced significantly. One of the key requirements in compressive sensing MRI is the sampling pattern used. The Kspace sampling pattern in CS MRI should be optimum to reconstruct the image exactly. In this manuscript non uniform under-sampling patterns and their usefulness in compressive sensed MRI is discussed and compared in terms of Signal to Noise Ratio (SNR) and execution speed using different reconstruction algorithm. Index Terms─ Nyquist sampling criteria, CS, MRI, reconstruction algorithm, SNR, execution speed.
Impact of Hybridization on Hydrogen Consumption of Fuel Cell Electric Vehicle

This paper presents the impact of hybridization on the hydrogen consumption of fuel cell electric vehicle (FCEV) by comparing the fuel cell/battery (FC/BATT) and fuel cell/battery/supercapacitor (FC/BATT/SC) configurations in terms of hydrogen consumption and overall fuel consumption. The frequency splitting operational state control strategy (FSOSCS) is used for the energy management of both the configurations. Simulation is carried out in MATLAB/Simulink environment using standard ECE-15 driving cycle. The results indicate that there is significant reduction in hydrogen consumption for FC/BATT/SC in comparison to the FC/BATT configuration and also the overall fuel consumption is reduced for FC/BATT/SC configuration. IndexTerms – Driving cycle, fuel cell electric vehicle, hydrogen consumption. ________________________________________________________________________________________________________
A Study to Assess the Prevalence of Polycystic Ovarian Disease among Girls Aged 15–21 Years from Selected Schools and Colleges in Bhopal City

Background: Polycystic Ovarian Syndrome (PCOS) is the most common endocrine disorder among girls. It is one of the leading causes of female subfertility. It has a heterogeneous presentation which includes hyperandrogenism, hirsutism and ovulatory dysfunction. It is a disorder of peri-pubertal onset, so it is a disorder of significant health concern; this necessitates estimation of proportion of women affected by PCOS in the population. This study was conducted to find out the prevalence of PCOS amongst adolescent girls in Bhopal city. Materials and Methods: A cross-sectional study was conducted for the duration of 4 months from November 2016 to February 2017. 840 girls of age group 15–21 years were interviewed regarding PCOS using Rotterdam criteria in three schools and three colleges in Bhopal city. After screening for PCOS, all suspected girls were confirmed by USG. Data was compiled using MS Excel and analyzed using Epi info 7. Result: Out of 840 girls, 217 (25.5%) complained of irregular menses, out of 217 only 96 (44%) were approached for USG screening. PCOS was present in 77 (80.2%) girls out of 96 girls screened with USG. Also, PCOS was present in 43.2% girls with BMI >25 and 50.8% girls having waist-hip ratio more than 0.96. Conclusion: This study estimated prevalence of about 8.34% in the study population. Lack of awareness (health-seeking behavior) was prominent in the study population. Significant association was found between PCOS and BMI, WAIST-HIP ratio. More education sessions should be held in schools and colleges about PCOS.
Attenuation of Glycerol-Induced Acute Renal Failure in Albino Rats by Soy Beans (Glycine max)

The health benefit of soybean consumption has currently gained the attention of researchers. The aim of this study was to investigate the effect of soymilk onrenal biochemical parameters and histopathology of glycerol-induced acute renal injury in rats. In this study, twenty-four (24) albino wistar rats weighing (200-250g) were divided into four (4) groups with six (6) animals per cage: group A served as normal control group and received only distilled water, group Bas positive control and was given glycerol plus vitamin C (200mg/kg, oral), group C, the negative control was given 50% glycerol alone (10ml/kg, i.m.), and group D, the test group was given glycerol plus soymilk (2000mg/kg, oral). Renal injury was assessed by analysing renal histopathology and biochemical parameters such as: Na + , K + , Cl , HCO3 , creatinine and blood urea nitrogen (BUN) levels. The Glycerol treatment resulted in marked elevation of:K + (8.66±0.64mmol/l); creatinine (1.47±0.23 mg/dl);and BUN (44.39±5.78 mg/dl) and caused deranged renal functions which were significantly attenuated after soymilk treatment: K + (6.51±0.33 mmol/l); creatinine (0.88±0.005 mg/dl); and BUN (19.67±1.45 mg/dl) with[P < 0.05]. Based on these results, this study demonstrates the potential beneficial effects of soy bean against glycerol-induced acute renal failure in rats.
2395-1621 Under Water Communication Using Acoustic Modem

ARTICLE INFO Underwater sensor nodes will find applications in oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation and tactical surveillance applications. Moreover, unmanned or autonomous underwater vehicles (UUVs, AUVs), equipped with sensors, will enable the exploration of natural undersea resources and gathering of scientific data in collaborative monitoring missions. Underwater acoustic networking is the enabling technology for these applications. Underwater networks consist of a variable number of sensors and vehicles that are deployed to perform collaborative monitoring tasks over a given area. In this paper, several fundamental key aspects of underwater acoustic communications are investigated. Different architectures for two-dimensional and three-dimensional underwater sensor networks are discussed, and the characteristics of the underwater channel are detailed. The main challenges for the development of efficient networking solutions posed by the underwater environment are detailed and a cross-layer approach to the integration of all communication functionalities is suggested. Furthermore, open research issues are discussed and possible solution approaches are outlined.
Stem cells and stem cell-derived extracellular vesicles in acute and chronic kidney diseases: mechanisms of repair

Acute and chronic renal failure have long been described and now renamed as acute kidney injury (AKI) and chronic kidney disease (CKD). New concepts are emerging in the pathophysiology of kidney diseases. AKI is often caused by triggering factors (e.g., toxic, ischemic, immunologic) either individually or combined such as in sepsis (inflammation and hypoxia), and it is initiated at a defined time. Several experimental models of AKI have provided deep insight and have convincingly shown important proof-of-concepts of therapeutic relevance over the years. CKD is now considered a slowly developing disease with often an insidious course, lasting many years whereby co-morbidities (e.g., diabetes, hypertension, dysmetabolic syndrome) may act as worsening factors. It has become increasingly evident that even a single event of AKI may lead to a higher predisposition to develop a progressive CKD. In the present review, we will report studies on the renal protection by adult stem cells in different experimental models and clinical trials. The emerging role of extracellular vesicles (EVs) in cell-to-cell communication and their predominant effect in the paracrine mechanisms of stem cell-dependent actions have prompted several studies on their ability to attenuate both AKI and fibrosis occurring in CKD. We discuss several critical issues that need to be addressed before EVs may have a therapeutic application in humans.
The Use of Heuristics in Decision Tree Learning Optimization

— Decision tree algorithms are among the most popular techniques for dealing with classiﬁcation problems in different areas. Decision tree learning offers tools to discover relationships, patterns and knowledge from data in databases. As the volume of data in databases is growing up very quickly, the process of building decision trees on such databases becomes a quite complex task. The problem with decision trees is to find the right splitting criterion in order to be more efficient and to get the highest accuracy. Different approaches for this problem have been proposed by researchers, using heuristic search algorithms. Heuristic search algorithms can help to find optimal solutions where the search space is simply too large to be explored comprehensively. This paper is an attempt to summarize the proposed approaches for decision tree learning with emphasis on optimization of constructed trees by using heuristic search algorithms. We will focus our study on four of the most popular heuristic search algorithms, such as hill climbing, simulated annealing, tabu search and genetic algorithms.
A negative footprint illusion in environmental impact estimates

A major part of anthropogenic climate change is due to everyday human behavior, such as transportation, food and energy consumption. As a result, it has been argued that many barriers for mitigating climate change are psychological in nature. For example, people’s decisions and behaviors are subject to heuristics and biases which sometime harm our decisions. The benchmark of the present thesis is the finding that people believe that adding environmentally friendly items to a set of conventional items reduces the impact of the whole set. This phenomenon has been coined a negative footprint illusion (NFI). How robust is this effect, is it generalizable across judgmental dimensions and what is the mechanism that underpins the effect? This thesis concerns these three questions. Paper 1 found support for the assumption that an averaging bias underpins the NFI. On this view, the NFI appears because people intuitively respond with the average of the ‘vices’ (the unfriendly objects) and ‘virtues’ (the more environmentally friendly objects) in the combined set of objects. Paper 2 demonstrated that the NFI is insensitive to some levels of expertise. Furthermore, Paper 2 also reported the first demonstration of the NFI in the context of a within-participants design. Paper 3 found that a NFI can also be demonstrated in the context of atmospheric CO2 concentration estimates. Paper 3 also reported further evidence for the averaging bias account of the NFI and showed that the effect is at least insensitive to some variations in the framing of the problem posed to the participants. Paper 4 demonstrated that the NFI can be eliminated by priming a summative mindset before requesting participants to make the environmental impact estimates. Taken together, this thesis shows that the NFI is a robust phenomenon that can be found across various to-beestimated stimulus materials, it appears to be underpinned by an averaging bias but can be cognitively controlled in certain conditions.
New-Generation Modelling and High-Resolution Simulation

: The try-and take-the clothes-on virtual surfaces is a long-continuing journey including many processes in itself. This continuum starts from the new generation of surfaces up to the last end of the tailor-fitting for an animation. We initiated the long-running design by seaming up of the inter-seams betwixt the pieces and proceeding with combining out the figures with these parts, and make the finalé with an unprecedent outfitting ability, respectively. We recreated and animated our models for having an up-front superiority over the other on-shelf rivals wherefore this directly originates from the unmatched realism by ours. It's highly-refined in realism terms and also in the context of recent-fineness perspectives, it's recently at the highest-standards with the chain of proposed-techniques we offer. We've qualified our workflow-scheme providing much more realistic results that have ever been presented in one design & simulation system until now.
Antioxidant Status in Diabetic Patients Attending the Federal Teaching Hospital Gombe- Nigeria

Fasting blood samples were collected from 120 diabetes mellitus subjects attending medical clinic at Federal teaching hospital Gombe and apparently healthy subjects. The level of glycated hemoglobin was obtained for the samples and samples with glycated hemoglobin ≥7.0 were further analysed for antioxidant enzymes of superoxide dismutase, catalase, and glutathione peroxidase.Level of lipid peroxidation marker; malondialdehyde was also determined.Malondialdehyde levels (μmol/L) assessedwere significantly increased (p< 0.05) in all diabetic groups compared to apparently healthy individuals (1.94± 0.22μmol/L), the results showed the level of antioxidant enzymes of SOD (u/ml) and CAT (u/ml) were decreased in the diabetics compared to apparently healthy individuals. However, the level of GPx determined in type 1 diabetics was significantly increased compared to apparently healthy individuals, but lower in type 2 and gestational diabetics. The results in this study confirmed that increased oxidative stress due to decreased SOD and CAT activities seen in diabetics which may also enhance lipid peroxidation as seen in high level of malondialdehyde.
Let's Share the Resource When We’re Co-Located: Colocation Edge Computing

Multi-access Edge Computing (MEC) is recently acknowledged as one of the key pillars for the next revolution of mobile communications area, where the convergence of IT and telecommunications network provides the low latency and computation capability for cellular base stations (BSs). As a result, this is a great opportunity for mobile network operators by deploying new services and applications at BSs. Nevertheless, huge capital and operational cost can challenge mobile operators for the deployment of new BSs and MEC micro-datacenters. Colocation Edge Computing (ColoMEC) is a new concept where multiple operators share not only the same BS tower but also their radio and computation resources colocated at the edge sites. In order to reduce the operational cost of a ColoMEC system, the limited bandwidth at over-utilized colocation BSs can be extended by sharing the bandwidth among BSs, while shared MEC micro-datacenters can be scaled based on the arrival traffic loads. Thus, sharing the BS infrastructure, bandwidth, and MEC micro-datacenters among the co-located mobile operators can be an economical solution to provide high-performance services with low expenses by exploiting the temporal and spatial difference in traffic loads. Turning this vision into reality, we study a joint bandwidth allocation sharing and MEC micro-datacenter scaling in ColoMEC management problem ($\mathbf {ColoMEC-MP}$). To solve $\mathbf {ColoMEC-MP}$ problem, we propose an algorithm based on proximal block coordinate descent technique by iteratively solving the decoupled convex subproblems (i.e., user association, bandwidth allocation, and MEC micro-datacenter scaling) with additional proximal terms. To improve the convergence of the proposed algorithm, we propose a greedy initialization for the user association which is based on the link capacity at each user. Our simulation demonstrates the superiority of the algorithm in terms of the operational cost compared with fixed service rate of shared MEC micro-datacenters strategies.
Scale-bridging computational materials science: heterogeneous algorithms for heterogeneous platforms

(abstract) We present a multiscale strength model in which strength depends on pressure, strain rate, temperature, and evolving dislocation density. Model construction employs an information passing paradigm to span from the atomistic level to the continuum level. Simulation methods in the overall hierarchy include density functional theory, molecular statics, molecular dynamics, dislocation dynamics, and continuum based approaches. Given the nature of the subcontinuum simulations upon which the strength model is based, the model is particularly appropriate to strain rates in excess of 104? s? 1. Strength model parameters are obtained entirely from the hierarchy of simulation methods to obtain a full strength model in a range of loading conditions that so far has been inaccessible to direct measurement of material strength. Model predictions compare favorably with relevant high energy density physics (HEDP) experiments that have bearing on material strength. The model is used to provide insight into HEDP experimental observations and to make predictions of what might be observable using dynamic x-ray diffraction based experimental methods.
An update on delivery systems of Icariin for bone regeneration in Periodontics: a Review

Epimedium contain active compounds exhibiting wide pharmacological activities especially in bone healing. Primary bone tissue cells are osteoblasts, osteocytes and osteoclasts. Bone is a highly dynamic tissue which is continuously formed by osteoblasts and resorbed by osteoclasts. This is a highly complex process maintaining equilibrium in healthy tissue. Any imbalance between the activity of these cells result in pathological conditions like osteoporosis, periodontitis, etc. Such conditions require bioactive molecule with effective delivery vehicle to promote bone healing and maintain tissue homeostasis. Icariin extracted as the main active ingredient of Epimedium has osteoinductive effects which when used with effective delivery system is of huge therapeutic importance as it is proven to possess wide range of osteoprotective effects. This review article highlights various methods available to effectively deliver icariin to targeted tissue and achieve bone repair. Keyword: Epimedium, Icariin, bone, Alkaline Phosphatase, Sustained . -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 11-03-2020 Date of Acceptance: 25-03-2020 --------------------------------------------------------------------------------------------------------------------------------------
Photoautotrophic organisms control microbial abundance, diversity, and physiology in biological soil crusts

(1) Max Planck Institute for Chemistry, Multiphase Chemistry, Mainz, Germany (a.tamm@mpic.de), (2) Key Laboratory of Geographic Information Sciences, Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai, China, (3) University of Applied Sciences, Department of Agriculture & Food Sciences, Neubrandenburg, Germany, (4) University of Graz, Institute of Plant Sciences, Graz, Austria
A review paper on comparision between Traditional and FPGA based storage engine

— — As the number of users increasing, the size of database is also increasing day by day. On a large database processing of a query becomes complex. The traditional storage engine takes a lot of time to process a query and also consumes huge amount of energy. After the FPGA based storage engine introduced the query processing becomes easy, takes very less time to process a query and also consume very less amount of energy as compare to traditional storage engine. Handling of huge amount of data is one of the challenging task. In this paper we have presented comparision between the traditional and FPGA based storage engine .