Miracle-dz/UniFAR-FTUs huggingface dataset:
A pr 2 01 0 Witnessing quantum discord in 2 × N systems

Bipartite states with vanishing quantum discord are necessarily separable and hence positive partial transpose (PPT). We show 2×N states satisfy additional property: the positivity of their partial transposition is recognized with respect to the canonical factorization of the original density operator. We call such states SPPT (for strong PPT). Therefore, we provide a natural witness for a quantum discord: if a 2×N state is not SPPT it must contain nonclassical correlations measured by quantum discord. It is an analog of the celebrated Peres-Horodecki criterion: if a state is not PPT it must be entangled.
Effects of Quality and Amounts of Dietary Protein on Dairy Cattle Reproduction and the Environment

The objective of this paper is to review the effects of quality and amounts of dietary protein on dairy cattle reproduction and the environment. Protein supplementation is one of important nutrient in dairy production. But, an excess amount of protein beyond the requirements of dairy cow affects reproduction as well as the environment. Protein is needed to meet nitrogen requirements of rumen microorganisms as well as used as a direct source of protein for milking cows. An excess amount of rumen degradable protein can be excreted into the environments and impose an impact on it. Excess rumen degradable protein also results in high amounts of ammonia in the blood of dairy cow when there is no sufficient amount of energy to convert ammonia into microbial protein. In addition, conversion of excess ammonia is energy demanding which can result in negative energy balance. This excess ammonia and negative energy balance result in reduced reproductive performance in dairy cows. Therefore, it is important to optimize rumen degradable and rumen undegradable protein content of diets and synchronization of protein with energy is best strategies to overawed ammonia pollution and reproductive problem in the dairy cows.
Mechanical behaviour of Basalts from Central India

Five variants of Massive basalt and three variants of Vesicular basalt from Central India have been investigated in the laboratory for understanding the mechanical behaviour of rock. These basalts were obtained from different locations of Betwa river basin. The mineralogical compositions of these basalts were quantified through X-ray diffraction method (XRD). These basalts have been investigated for uniaxial compressive strength, indirect tensile strength, Tangent Modulus (E50), Poisson’s ratio (μ) and shear strength parameters (cohesion and angle of internal friction). In addition to above, physical, durability and wave velocities (compressive, shear) characteristics have been measured for holistic study. And, the propagation of failure of these basalts has been discussed. As the amount of vesicles and foreign materials in basalt decreases, the responses of vesicular basalt approach that of massive basalt. Irrespective of location, massive basalts are found to be superior compared to vesicular basalts. The failure propagated along chain of vesicles in vesicular basalts, acting as stress concentrators.
Diversity of aquatic insects in Semara Taal, a wetland of district Siddharthnagar, U.P

The present study deals with the aquatic insects survey conducted from March 2018 to May 2018 in Semara Taal. This study enumerated 20 different species belonging to 6 orders and 19 families. Order Hemiptera represent the highest number of species (8 genera) followed by Diptera (4 genera), Coleoptera (3 genera), Odonta (2 genera), Ephemeroptera (2 genera), and Trichoptera (single genus). Dominance of Hemipteran, Odonata and Coleoptera insects suggested that the Semara taal is relatively less polluted.
An Adaptive Software Framework for Dementia-care Robots

Ample amount of research has been done on designing robot hardware and software to care for individuals with Alzheimer’s dementia (IAD). A major issue of the software frameworks for dementia-care robots is the lack of adaptivity: every change in the care protocol (i.e. high-level activity planning for the robot) needs to be manually accommodated in the software by a robotics expert. We propose an alternative approach for designing software framework for dementia-care robots which will allow lay users (i.e. caregivers of IAD) to change the care protocol in a seamless manner. This is achieved through employing domain independent AI planning along with planning domain definition language (PDDL) to define a high-level planner for the robot that implements the care protocol. A caregiver can customize a default care-protocol at any time through answering a set of simple questions which automatically updates the PDDL file and, in-turn, the planner. We used this novel approach to design two dementia-care protocols and implemented it on a robot. The robot performs planning based on information from commercially available smart-home (SH) sensors that detects activities related to the care-protocol. We evaluated the adaptivity of this framework through a user study where caregivers of eight IADs re-designed the care protocol according to their needs. To the best of our knowledge, we are the first to leverage PDDL and domain independent AI planing to design adaptive software for dementia-care robots.
Study on simulation of wind load characteristics for photovoltaic generation systems

Photovoltaic generation systems can automatically track the angle of sunlight. The system consists of four photovoltaic (PV) panels which can adjust pitch angle and azimuth angle according to the sunlight. The variation of the wind coefficient and wind load characteristics of the PV panels with the pitch angle and azimuth angle is obtained through the wind tunnel simulation based on FLUENT to determine the flow characteristics around the PV panels.
A Quest for Inspiration: How Users Create and Reuse PINs

Personal Identiﬁcation Numbers (PINs), required to authenticate on a multitude of devices, are ubiquitous nowadays. To increase the security and safety of their assets, users are advised to create unique PINs for a lot of accounts they possess. Considering the multiple accounts users hold, remembering a myriad of PINs is often burdensome for users. As a consequence, we suspect users tend to trade-off security for memorability, due to the fear of forgetting their PINs, thus reusing them. To test this hypothesis we conducted a study on MTurk that asked participants about their PIN creation and reuse behaviors. Our results show that users draw inspiration from important dates to create their PINs and that PIN reuse is common practice, even between high and low valued accounts. Participants justify this behavior stating they reuse PINs for convenience and ease of remembrance.
Moringa oleifera Lam: A review

Moringa oleifera lam native to India grows in the tropical and subtropical regions of the world. It is commonly known as ‘drumstick tree’ or ‘horseradish tree’. Moringa can withstand both severe drought and mild frost conditions and hence widely cultivated across the world. With its high nutritive values, every part of the tree is suitable for either nutritional or commercial purposes. The leaves are rich in minerals, vitamins and other essential phytochemicals. Extracts from the leaves are used to treat malnutrition, augment breast milk in lactating mothers. It is used as potential antioxidant, anticancer, antidiabetic, anti asthmatic, antimicrobial agent etc. M. oleifera seed, a natural coagulant is extensively used in water treatment. The scientific effort of this research provides insights on the use of moringa as a cure for diabetes and cancer and fortification of moringain commercial products. This review explores the use of moringa across disciplines for its medicinal value and deals with cultivation, nutrition, commercial and prominent pharmacological properties of this “Miracle Tree”.
4 In Vivo Ultra High Field Magnetic Resonance Microimaging to Monitor Malignant Melanoma in Zebrafish

Zebrafish cancer models are fast gaining ground in cancer research. Most tumors in zebrafish develop late in life, when fish are no longer transparent, limiting in vivo optical imaging methods. Thus non-invasive imaging of tumor development remains challenging. In this study we applied high resolution magnetic resonance microimaging ( (cid:2) MRI) to track spontaneous melanomas in stable transgenic zebrafish models expressing a RAS oncoprotein and lacking P53 (mitf:Ras::mitf:GFP X p53-/-). Tumors in live zebrafish were visualized at various locations using a T 2 weighted fast spin echo sequence at 9.4T. In addition, live imaging of tumors at ultra-high field (17.6T) revealed significant tumor heterogeneity. This heterogeneity was also confirmed by the significant differences in transverse relaxation time, T 2 measured in various regions of tumor. To our knowledge, this is the first report demonstrating the application of (cid:2) MRI to detect the locations, invasion status and characteristics of internal melanomas in zebrafish and suggests that non-invasive (cid:2) MRI can be applied for longitudinal studies to track tumor development and real-time assessment of therapeutic effects in zebrafish tumor models.
Nowcasting networks

We devise a neural network based compression/completion methodology for financial nowcasting. The latter is meant in a broad sense encompassing completion of gridded values, interpolation, or outlier detection, in the context of financial time series of curves or surfaces (also applicable in higher dimensions, at least in theory). In particular, we introduce an original architecture amenable to the treatment of data defined at variable grid nodes (by far the most common situation in financial nowcasting applications, so that PCA or classical autoencoder methods are not applicable). This is illustrated by three case studies on real data sets. First, we introduce our approach on repo curves data (with moving time-to-maturity as calendar time passes). Second, we show that our approach outperforms elementary interpolation benchmarks on an equity derivative surfaces data set (with moving time-to-maturity again). We also obtain a satisfying performance for outlier detection and surface completion. Third, we benchmark our approach against PCA on at-the-money swaption surfaces redefined at constant expiry/tenor grid nodes. Our approach is then shown to perform as well as (even if not obviously better than) the PCA which, however, is not be applicable to the native, raw data defined on a moving time-to-expiry grid).
CHARACTERIZING THE INFLUENCE OF PRINT PARAMETERS ON POROSITY AND RESULTING DENSITY

Extrusion deposition additive manufacturing produces parts with inherent porosity, which typically manifests as easily accessible voids between beads. This open porosity can also be accompanied by voids within the beads themselves, and both types can impact a part’s desired performance. Porosity is influenced by a variety of factors, including infill percentage, layer height, nozzle diameter, print speed, and raster orientation. While their influence on mechanical properties and porosity have been studied previously, there has been minimal work connecting print parameters to porosity and subsequently to mechanical performance. This study investigates the relationships between print parameters, volumetric porosity, and mechanical performance. In addition, this study measures both open and closed porosity through use of a helium pycnometer rather than image analysis of a cross-section. Thus, this study will identify correlations between the volumetric density of parts and the resulting mechanical performance as a function of print parameters.
Assessment of the Applicability of Morphometric, Organoleptic and Phylogenetic Analyses to Differentiate Soft and Firm Flesh Bearing Trees of Jackfruit (Artocarpus heterophyllus Lam.) in Sri Lanka

Purpose : The aril/flesh of the fruitlets is the main edible part of jackfruit (Artocarpus heterophyllus Lam.). There are two flesh types; soft flesh (SF) (Wela) and firm flesh (FF) (Waraka) (i.e. highly preferred). There is no strategy available to identify FF plants at nursery or vegetative stages. Thus the present study was conducted to assess the applicability of leaf morphological variation and DNA bar-coding to differentiate SF and FF bearing jackfruit plants. Research Method : The syncarp morphology and sensory parameters of SF and FF ripen flesh were also assessed to check the variation with 10 trees from each flesh type. The trees were chosen from SF and FF types and leaves and mature syncarps were collected. The leaf and syncarp morphological variation, pH, soluble solids and ascorbic acid content were measured. The sensory parameters of the flesh types were ranked by employing a taste panel. The DNA bar-coding was carried out for two loci rbcL and ITS to identify the sequence variants. Findings : The leaf tip length was longer in SF, ascorbic acid content was higher in FF and all the other parameters were not different (P Research Limitations : The detected haplotypic variants must be further validated with a larger set of jackfruit trees collected from diverse sites. Originality/value : Three haplotypes were detected within ITS locus where CC haplotype is characteristic to SF and CT or TC is detected in FF enabling marker assisted seedling selection. This is the first reported study attempting to use sequence variants to differentiate SF and FF typed trees in jackfruit.
REFINED MIXED FINITE ELEMENT METHOD FOR THE STOKES PROBLEM

We consider the Dirichlet problem for the Stokes problem in a plane polygonal domain (simply connected) with a reentrant corner at the origin. In addition to the velocity field ~ u, the tensor field σ = ∇~ u is introduced as a supplementary unknown leading us to a mixed formulation. Note that contrarily to [4], that our mixed formulation of the continuous problem is not hybridized. To discretize the mixed formulation, given a fixed triangulation, each of the two lines of the tensor field σ is approximated on each triangle of the given triangulation by a Raviart-Thomas vector field of degree 0 and ~u by a constant vector field. Under suitable refinement conditions on the regular family of triangulations under consideration {Th}, we prove that despite to the reentrant corner, that the convergence of the sequence of approximate solutions ((σh, ph), ~ uh) to ((σ, p), ~u) is still of order 1 in the L-norm. Finally, the discretized mixed formulation is hybridized by introducing a Lagrange multiplier ~λh to relax the continuity of the normal trace of σh across interelement edges eh of the triangulation Th. A formula expressing ~λh in terms of ~ uh and σh is established. Under some additional assumptions, it is proved that (λh)|eh − 1 |eh| R eh ~ u ds → 0 uniformly in eh, when h → 0 . Without these additional assumptions, the behaviour of the {~ uh} at the boundary Γ is studied. The jumps of ~ uh as one crosses from one triangle to an adjacent one are studied and also compared with those of the means of ~u on each triangle of the triangulation Th. In the late section about the numerical implementation, we first derive explicit formulas for σh|K and ~uh|K on each triangle K of the triangulation Th in terms of the Lagrange multiplier λh|∂K . We then reduce our problem to the resolution of a linear system with explicit coefficients in terms of the geometry of the triangulation with only the Lagrange AMS subject classification: 65N30, 65N15, 65N50, 76D03, 76D07.
Practical implementation of a half-bridge SRM converter for low power applications

The paper is presenting the practical implementation of a half-bridge converter driving a switched reluctance motor. One of the advantages of the proposed converter topology is that it ensures independent control for each motor phase. The measurements are concentrated on two motor types, namely a four phase SRM and on a two phase, high-speed SRM. The main objective of the paper is the working principle demonstration and to point out the main advantages/disadvantages of the proposed topology and emphasize future developments.
11. High clouds over oceans in the ECMWF 15-year and 45-year re-analyses

The re-analysis programmes of numerical weather prediction (NWP) centres provide global, comprehensive descriptions of the atmosphere and of the Earth surface over long periods of time. The high realism of their representation of key NWP parameters, like temperature and winds, implies some realism for less emblematic parameters, such as cloud cover, but the degree of this realism needs to be documentated. This study aims to evaluate the high clouds over open oceans in the ECMWF 15-yr and 45-yr re-analyses. The assessment is based on a new 23-yr climatology of monthly frequencies of high cloud occurrence retrieved from the infrared radiances measured by operational polar satellites. It is complemented by data from the International Satellite Cloud Climatology Project. It is shown that the 45-yr ECMWF re-analysis dramatically improves on the previous 15-yr re-analysis for the realism of seasonal and interannual variations in high clouds, despite remaining systematic errors. More than 60% of the observed anomalies during the January 1979 February 2002 period in large oceanic basins are captured by the latest re-analysis. However the realism of the analyses in the areas and in the years with sparse observations appears to be poor. Consequently, the interannual variations may not be reliable before January 1979 in most parts of the world. Possible improvements of the handling of assimilated satellite observations before and after this date are suggested.
ASSESSING THE EFFECTS OF FLOOD RESILIENT TECHNOLOGIES

The impacts of floods on housing in urban areas are increasing due to both the intensification of extreme weather events and the development of settlements together with the rising vulnerability of assets in areas at risk. Therefore, the improvement of buildings’ resilience properties to better cope with flooding is becoming a key issue in European research in recent years. The implementation of flood resilience technologies (FRe T) on a building scale provides a previously untapped potential to reduce flood damage because of insufficient transparency of their effects. To overcome this obstacle the paper covers an extended methodological framework for the analysis of the potential of FRe T. This framework is based on a synthetic approach on flood damage simulation that supports the assessment of singular FRe T or the combination of several FRe T options and permits the derivation of optimised FRe T alternatives. The approach has been tested, amongst other selected European study sites, in Heywood/Greater Manchester (United Kingdom) to analyse its functionality considering various flood types as well as different national and local contexts.
Developmental changes in kainate receptors in cortical network function and oscillogenesis

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Parent and Teacher Understandings of the Needs of Autistic Children and the Processes of Communication between the Home and School Contexts

Introduction: Autism is a spectrum condition with symptom presentation varying widely. Teachers and parents face challenges in supporting autistic children. There are similarities in how teachers and parents make sense of autism, but there may be differences in priorities and approach potentially leading to misunderstandings. Where parents are actively engaged in their child’s school life the impact on outcomes is positive. SAFE with Schools is a new intervention in development designed to support parents and teachers of autistic children to build collaborative relationships. The study aims to explore understandings among parents and teachers, areas of difference and agreement and perceptions of communication between the two contexts. Methods: Teacher–parent units (N=32) for 13 autistic children, were recruited. The parents and teachers completed reflective journals and carried out semi-structured interviews focusing on the aims of the study. A blended thematic interpretive approach drawing from IPA and Thematic Analysis methodological approaches was used to analyse the resulting data. The analysis proceeded by extracting themes for the parents and the teachers separately. Subsequently these were compared, to identify which themes appeared for both and how they were employed in similar or divergent ways. Findings: The following 6 themes emerged from the data: Each Child is Unique, Behavioral Differences between Home and School, Building Positive Relationships as Essential to Child’s Wellbeing, Emotional Impacts of the Autism, Bureaucracy as a Barrier and Feelings of Control. Although these themes were shared by teachers and parents there were differences in emphasis and expression in practice between the two contexts. Discussion: The findings related to various bodies of both clinical and educational literature which highlight the need for interventions such as SAFE with Schools that take a systemic, attachment-based approach to facilitating strong relationships with and around the autistic child.
Hardware Implementation of Polarization Encryption ( E P ) Based Data Security in Network

– Encryption scheme is widely used in the field of communication network security. The network systems are focus on reliability, service and functions, which provided end-to-end service to protect encrypted data node. It enables to interconnect the various functional levels to interact and communicate with each other. An interconnected group of nodes use a computational model for data processing, which is based on a node connections approach. In this work, data are transmitted from ‘n’ inputs as packets (e.g. 1 byte), through hardware based E P , shows polarized output after checking bits. Similar, process is followed to make sure for encrypted data for another in node clusters is proposed. An experimental setup is done with python based polarized NN output to check whether testing phase of bits is enable to check an error during training process is also presented.
Supershear shock front contributions to the tsunami from the 2018 Mw 7.5 Palu earthquake

Hazardous tsunamis are known to be generated predominantly at subduction zones by large earthquakes on dip (vertical)-slip faults. However, a moment magnitude (Mw) 7.5 earthquake on a strike (lateral)-slip fault in Sulawesi (Indonesia) in 2018 generated a tsunami that devastated the city of Palu. The mechanism by which this large tsunami originated from a strike-slip earthquake has been debated. Here we present near-field ground motion data from a GPS station that confirms that the 2018 Palu earthquake attained supershear speed, i.e., a rupture speed greater than the speed of shear waves in the host medium. We study the effect of this supershear rupture on tsunami generation by coupling the ground motion to a one-dimensional non-linear shallow-water wave model that accounts for both the time-dependent bathymetric displacement and velocity. With the local bathymetric profile of the Palu bay around a tidal station, we find that these simulations reproduce the tsunami arrival and motions observed by CCTV camera records, with only minimal tuning of parameters. We conclude that Mach (shock) fronts, generated by the supershear speed of the earthquake, interacted with the bathymetry and contributed to the tsunami. This suggests that rupture speed should be considered in tsunami hazard assessments.