Miracle-dz/UniFAR-FTUs huggingface dataset:
Structure for Collecting Mastering Gadgets from Digital Documents

: To be compelling, technology-supported learning systemsrequire a proper Space Module, which improve academic representation of the area to be educated. The Space Module is viewed as the center of any TSLSs as it speaks to the information about a topic to be imparted to the learner. Electronic reading material may be utilized as the source to fabricate the Area Module, recreating how normal educators carry on while setting up their subjects: they pick an arrangement of reference books that will give the primary instructive resources(DRs)— definitions, cases, works out—for the subject and depend on them for planning their lectures. Artificial knowledge methods give the way to the programmed development of the Space Modules from electronic course books which may fundamentally add to lessen the improvement cost of the Area Modules. This venture presents DOM-Sortze, a system for the programmed era of the Area Module from electronic reports. DOM-Sortze fills in as an area free, consequently no particular space information is utilized with the exception of the handled electronic course reading and the learning assembled from it.
COMPARATIVE STUDY OF MANDIBULAR CONDYLAR SPATIAL RELATIONSHIP AND MORPHOLOGY IN SKELETAL CLASS II MALOCCLUSION PATIENTS WITH DIFFERENT VERTICAL SKELETAL PATTERN

Objective: the study aims to compare the mandibular condyle-fossa spatial relationship and morphologies in asymptomatic skeletal class II patients with different vertical skeletal pattern. Method and material: Cone-beam computed tomography (CBCT) images of 68 adult patients (136 TMJ) were recruited. Four groups of 17 CBCT images each were made according to their ANB and mandibular plane (SN-MP) angles: class II low SN-MP angle (CII-LA), class II normal SN-MP angle (CII-NA), class II high SN-MP angle (CII-HA) and class I normal SN-MP angle (CI-NA). Condyle-fossa spatial relationship and morphologies were compared among groups. Results: Condylar position of skeletal class II patients in low, normal, and high angle groups were dominantly positioned concentrically, posteriorly and anteriorly respectively, while the condyles of (CI-NA) group tended to positioned concentrically and anteriorly. TMJ morphology appeared to be more affected by vertical skeletal pattern than sagittal one. Abnormal condylar morphology was typical in high angle group. Conclusions: Both vertical and sagittal skeletal class II showed a significant correlation with the position of the condyle. Vertical skeletal morphology has more influence on TMJ morphology than sagittal skeletal type. This relationship should be regarded during orthodontic treatment to early predict and establishing proper treatment for the temporomandibular disorder
Methods to Re-Use and Recycle Aluminium Machining Swarf

Large amounts of aluminium end up as machining swarf disposed of in landfills, reducing the amount of aluminium used for the actual manufacturing, and increasing the cost of the final product, thus ultimately contributing to environmental pollution. Finding a way to remove the aluminium oxide layer that is formed in the surface of the swarf, is the main challenge faced during the recycling process of this material. This paper aims at presenting a short review of the challenges and the methods employed for swarf recycling.
Clothing Genre Recognition System Using Image Processing Techniques- A Survey

Nowadays, Clothing business is one of the mostimportantcomponentsinthee-commerceindustry. So, there is plenty of online clothing sites are available where people can search and retrieve the most clothing items for their user query image. Clothing genre recognition is a very active topic in computer vision and multimedia research. In the textile industry, image processing techniques provide sensitive attention in the fieldoftheimage-basedclothingrecognitionsystem.The sequence of cloth images can be given as input to the recognition system. This clothing genre recognition system helps to detect the patterns and features of cloths which helps to classify them using effective feature extraction and classification algorithms. Feature extractiontechniquescanbeusedtoobtainfeaturesfrom thecloths.Classificationalgorithmsfromsoftcomputing help to automatically classify clothes genres depending on style elements and their salient visual features. Deep learning and Support Vector Machine (SVM) classifier achieved better performance in classifying both upper wear and lower wear genres. The main motivations of this paper focus on automatically classifying both upper wearandlowerweargenrefromafull-bodyinputimage. Evaluation metrics like precision, recall, F-score were used to measure the classification accuracy.This paper addresses on issues, challenges, applications, frameworks, tools, and techniques for recognition of clothing genres is carriedout.
05 09 15 2 v 1 2 1 Se p 20 05 Joint measurements of spin , operational locality and uncertainty

Joint, or simultaneous, measurements of non-commuting observables are possible within quantum mechanics, if one accepts an increase in the variances of the jointly measured observables. In this paper, we discuss joint measurements of a spin 1/2 particle along any two directions. Starting from an operational locality principle, it is shown how to obtain a bound on how sharp the joint measurement can be. We give a direct interpretation of this bound in terms of an uncertainty relation.
Smoothing Method of Multipliers for Sum-Max Problems

We study a class of nonsmooth unconstrained optimization problems, which includes the problem of minimizing the sum of pairwise maxima of smooth convex functions. Minimum l1-norm approximation is a particular case of this problem. Combining the ideas of Lagrange multipliers and of smooth approximation of max-type function, we obtain an extended notion of nonquadratic augmented Lagrangian. Our approach does not require artificial variables, and preserves sparse structure of Hessian in many practical cases. We present the corresponding method of multipliers, and its convergence analysis for a dual counterpart, resulting in a proximal point maximization algorithm. The practical efficiency of the algorithm is supported by computational results for large-scale problems, arising in structural optimization.
Understanding Investor behavior and it’s implications on Capital Markets - The Indian Context

The paper proposes a dynamic factor model to augment the conventional three factor Fama and French – CAPM, by introducing two distinct latent variables which constitute investor behavior i.e. market sentiment and herding. Our analysis suggests that both factors significantly impact the asset pricing. Also, the herding factor portrays an erratic behavior during the crisis period whereas sentiment remains persistent across time.
Vascular NRP 2 triggers PNET angiogenesis via activating SSH 1-co �

xi luo (  rosyluoxi123@163.com ) Army Medical University Jiang-yi He Army Medical University Jie Xu Army Medical University Shao-yi Hu Army Medical University Bang-hui Mo Army Medical University Qiu-xia Shu Army Medical University Can Chen Army Medical University Yu-zhu Gong Army Medical University Xiao-long Zhao Army Medical University Gan-feng Xie Army Medical University Song-tao Yu Army Medical University
High-Resolution Prediction of Acute Malnutrition Prevalence Across Sub-Saharan Africa

: Percentages of acute malnutrition continue to be unsettlingly high in developing countries, while coverage of treatment remains unsatisfactory. Here I develop software to predict acute malnutrition prevalence at a high resolution across sub-Saharan Africa. First I assembled a training dataset for machine learning of malnutrition prevalence. The 33 training variables may be split into ﬁve categories: development, economics, political situations, climate, and crop health. I then trained a random forest regressor on these features to predict acute malnutrition prevalence at a 5km resolution across sub-Saharan Africa. A validation with a train-test split showed that the algorithm could predict malnutrition prevalence with an average difference of 0.86% prevalence, corresponding to an error of 10.7%. The training features with the highest predictive power are, in order: female education, precipitation, forest cover, school attendance, and political stability. Next, acute malnutrition prevalence was forecasted to 2021. These predictions suggest that the prevalence of acute malnutrition will continue to decrease in coming years, but the number of acute malnutrition cases will actually increase due to population growth. This work highlights the importance of female education as well as the need for more cost-effective nutrition interventions as the number of acute malnutrition cases begins to rise. I
Austin of Orthopedics & Rheumatology Osteomyelitis in Paediatric Age Group, Pathophysiology and Adaptive Responses of Causing Microbes

Osteomyelitis (OM) or inflammation of the bone, is usually caused by bacterial infection. Bone infections in children are primarily hematogenous in origin, although cases secondary to penetrating trauma, surgery, or infection in a contiguous site are also reported. OM is a biofilm-based infection of bone which is the characteristic growth pattern for most bacteria and are now understood to consist of interactive communities with the ability to alter their gene expression in order to ensure survival, where the majority of causative microorganisms are sessile in nature and render to develop adaptive responses against antibiotics, host implant, and other environmental effects. In other side the osteoclastic and osteoblastic cells play a central role in the immune response of bone has resulted in a better understanding of osteo-immunology. This review focuses on pathogenic advancement at genetic level due several adaptations, so it will open a new window in terms of development of novel treatment strategies in the management of osteomyelitis and periprosthetic infections.
Shift-Invariant Motif

—Nowadays, the boost of optical imaging technologies results in more data with a faster rate are being collected. Consequently, data and knowledge discovery science has become an attractive and a fast growing topic in several industry and research area. Motif discovery in image processing aims to tackle the problem of deriving structures or detecting regularities in image databases. Most of the motif discovery methods ﬁrst convert images into time series and then attempt to ﬁnd motifs in such data. This might lead to information loss and also the problem of inability to detect shifted and multi-scale image motifs of different size. Here, a method is proposed to ﬁnd image motifs of different size in image datasets by applying images in original dimension without converting them to time series. Images are inspected by the Complex Quad Tree Wavelet Packet transform which provides broad frequency analysis of an image in various scales. Next, features are extracted from the wavelet coefﬁcients. Finally, image motifs are detected by measuring the similarity of the features. The performance of the proposed method is demonstrated on a dataset with images from diverse applications, such as hand gesture, text recognition, leaf and plant identiﬁcation, etc.
Salivary antigen-5/CAP family members are Cu 2+ -dependent antioxidant enzymes which scavenge O 2- and inhibit collagen-induced platelet aggregation and neutrophil oxidative burst

Salivary antigen-5/CAP family members are Cu-dependent antioxidant enzymes which scavenge O2 and inhibit collagen-induced platelet aggregation and neutrophil oxidative burst Teresa C. F. Assumpção, Dongying Ma, Alexandra Schwarz, Karine Reiter, Jaime M. Santana, John F. Andersen, José M. C. Ribeiro, Glenn Nardone, Lee L. Yu, and Ivo M. B. Francischetti 1 Vector Biology Section, Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, Maryland, 20892, USA, 2 Laboratory of Genomics and Proteomics of Disease Vectors, Institute of Parasitology, Biology Centre, Ceske Budejovice, Czech Republic, Malaria Vaccine Development Branch, NIAID, NIH, Rockville, Maryland 20852, USA, 4 Pathogen-Host Interface Laboratory, Department of Cell Biology, The University of Brasília, Brasília, Brazil, 5 Research Technology Branch, NIAID, NIH, Rockville; 6 Chemical Sciences Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899-8391, USA. *Correspondence: LMVR, NIAID, NIH, 12735 Twinbrook Pkwy. Rm 2E-32C, Bethesda, MD 20852. Telephone: 301-402-2748; Fax: 301-480-2571; e-mail: ifrancischetti@niaid.nih. gov; Running title: A NOVEL FAMILY OF SALIVARY PLATELET INHIBITORS
Obesity Cardiovascular Disease and the Failure of Public Health Education

endothelium of the aorta, an observation that could support a developmental effect (5). In conclusion, we here report on multiple families harboring HCN4 mutations, who show significant dilation of the aorta ascendens, besides the recently established combined phenotype of bradycardia, NCCM, and mitral valve disease. These results have important implications for patient care and for the fundamental understanding of the role of the HCN4 channel in health and disease.
H OW W EAK IS THE W EAKEST -L INK P RINCIPLE ? O N THE M EASUREMENT OF F IRM O WNERS ’ C ONTROL R IGHTS

The paper argues that the weakest link principle, which has been widely used as a measure of ultimate owners’ control rights, has a number of serious problems. A theoretically more satisfactory method of measuring control rights, based on voting power indices, is proposed, and the different measures are compared using a sample of large listed German firms. The different measures produce very different results. But, whichever measure is used, taking account of pyramid ownership structures has little effect on the values of control and cash-flow rights. The results also show that neither first-tier nor ultimate control rights measures are adequate on their own, suggesting that further work on ownership structure and pyramids is required to obtain satisfactory measures of large owners’ control rights. JEL Code: G32, G34. We thank Dennis Leech for allowing us to use his algorithms for computing voting power indices, and Sheilagh Ogilvie for helpful comments.
Marine Ecology Progress Series 578:117

Technological advances in recent years have seen an explosion of tracking and stable isotope studies of seabirds, often involving repeated measures from the same individuals. This wealth of new information has allowed the examination of the extensive variation among and within individuals in foraging and migration strategies (movements, habitat use, feeding behaviour, trophic status, etc.) in unprecedented detail. Variation is underpinned by key life-history or state variables such as sex, age, breeding stage and residual differences among individuals (termed ‘individual specialization’). This variation has major implications for our understanding of seabird ecology, because it affects the use of resources, level of intra-specific competition and niche partitioning. In addition, it determines the responses of individuals and populations to the environment and the susceptibility to major anthropogenic threats. Here we review the effects of season (breeding vs. nonbreeding periods), breeding stage, breeding status, age, sex and individual specialization on foraging and migration strategies, as well as the consequences for population dynamics and conservation.
of β-alanine synthase variants forming higher oligomers for functional and structural analysis

β-alanine synthase (βAS) is the enzyme catalyzing the last step of pyrimidine degradation in eukaryotes. Mutant C233A and wild-type human βAS were successfully expressed in E.coli strain Rosetta (DE3)\pLysSRARE cells containing vector pOPINF_βAS encoding the human gene, while the mutant T299C was not expressed for some reasons to be confirmed. After being purified by immobilized metal affinity chromatography and ion exchange chromatography, pure mutant C233A was obtained. The result from structure and function analysis of pure C233A revealed that it existed as tetramers in the absence of substrate. In addition, the mutagenesis targeting C233 also resulted in the inactivity of the enzyme, which proved that C233 was the crucial catalytic residue.
Molecular characterization of common respiratory viral infections in broilers in Al-Hassa, Eastern Province, Saudi Arabia

Newcastle disease virus (NDV), Infectious bronchitis virus (IBV) and H9N2 avian influenza virus (AIV) are the most significant respiratory pathogens. Several outbreaks have been reported frequently in Saudi Arabia despite of the intensive use of vaccination programs. Ten broiler flocks suffering from complicated respiratory disease were subjected to necropsy and samples were collected for molecular identification of involved viruses and pathogenic bacterial infections. Seven out of the ten flocks were positive for single or combined viral infection. The seven flocks were positive for HA test. All positive samples were subjected for molecular identification, three flocks were positive for single NDV while one flock was positive for both NDV and IBV. Three flocks were positive for H9N2 and IBV. Three flocks were negative for viral infection and subjected for pathogenic bacteria detection. The sequence analysis of F gene of NDV revealed that all isolates exhibited the cleavage site ( 112 RRQKRF 117 ) of virulent NDVs. The neuraminidase-haemagglutinin gene revealed that all AI isolates belonged to H9N2 low pathogenic avian influenza virus (LPAIV) subtype. The S1 gene of IBV showed that one isolate was closely related to the Connecticut IBV strain while another isolate belonged to the H120 IBV strain. In conclusion, combined pathogens causing respiratory infection in broilers is very common, which leads to the increase in disease severity and economic losses. The continuous detection of virulent NDV as well as IBV from broiler flocks emphasize the need to review the vaccination strategies based on further epidemiological and molecular studies.
Design Process for Decision Support Services to Support Multiple Agencies

— In this paper, we describe a design process for developing deployable information services in service oriented emergency management systems that support multiple agencies. These services aim to support decision-making based on situational awareness information. The service design process has been defined to support information needs in all phases of the lifecycle of emergency management. For this reason, we believe that the defined design process is general and thus it should be a useful base practice for similar tasks in many other operational environments. There are no type limits for the defined services; they could be independent services or compositions of other services. First, we give a short description of the stakeholders of the domain and our approach for useful emergency information. After that we describe the overall service defining process and give a supportive checklist for service designers and managers of different agencies.
Process development for platform chemical production from agricultural and forestry residues

As part of a bio-based economy, biorefineries are envisaged to sustainably produce platform chemicals via biochemical conversion of agricultural and forestry residues. However, supply risks, the recalcitrance of lignocellulosic biomass, and inhibitor formation during pretreatment impair the economic feasibility of such biorefineries. In this thesis, process design and assessment were developed with the aim of addressing these hurdles and improving the cost-effectiveness of lignocellulose-derived platform chemicals. To expand the feedstock base and reduce operational costs, logging residues served as underutilised and inexpensive raw material. The major impediment in converting logging residues was their high recalcitrance and low cellulose content, which resulted in low attainable ethanol titres during simultaneous saccharification and co-fermentation (SSCF). Pretreatment optimisation reduced inhibitor formation and recalcitrance, and led to enzymatic hydrolysis yields at par with those obtained for stem wood, despite the less favourable chemical composition. Upgrading logging residues with carbohydrate-rich oat hulls increased ethanol titres to >50 g·L-1 using batch SSCF at 20% WIS loadings, demonstrating the potential to further decrease downstream processing costs. To alleviate the toxicity of inhibitors generated during pretreatment, preadaptation was applied to Saccharomyces cerevisiae. Exposure to the inhibitors in the pretreated liquid fraction improved ethanol production during subsequent fermentation. Transferring the concept of preadaptation to lactic acid production by Bacillus coagulans cut the process times by half and more than doubled the average specific lactic acid productivity, showcasing how preadaptation could decrease operational costs. To assess the performance and robustness of process designs against process input variations, a multi-scale variability analysis framework was developed. The framework included models for bioprocess, flowsheet, techno-economic, and life cycle assessment. In a case study, multi-feed processes, in which solids and cells are fed to the process using model-based predictions, were more robust against variable cellulolytic activities than batch SSCFs in a wheat straw-based ethanol biorefinery. The developed framework can be used to identify robust biorefinery process designs, which simultaneously meet technological, economic, and environmental goals.
NASA Officeof Equal Opportunity Minority University Researchand Education Division Research(FAR)

In recent years, fault tolerant flight control systems have gained an increased interest for high performance military aircraft as well as civil aircraft. Fault tolerant control systems can be described as either active or passive. An active fault tolerant control system has to either reconfigure or adapt the controller in response to a failure. One approach is to reconfigure the controller based upon detection and identification of the failure. Another approach is to use direct adaptive control to adjust the controller without explicitly identifying the failure. In contrast, a passive fault tolerant control system uses a fixed controller which achieves acceptable performance for a presumed set of failures. We have obtained a passive fault tolerant flight control law for the F/A-18 aircraft which achieves acceptable handling qualities for a class of control surface failures. The class of failures includes the symmetric failure of any one control surface being stuck at its trim value. A comparison was made of an eigenstructure assignment gain designed for the unfailed aircraft with a fault tolerant multiobjective optimization gain. We have shown that time responses for the unfailed aircraft using the eigenstructure assignment gain and the fault tolerant gain are identical. _rthermore, the fault tolerant gain achieves MIL-F-8785C specifcations for all failure conditions.
: An interactive and user-friendly environment for remeshing surface triangulations

Research and software development involving geometry processing are often slowed down by the absence of suitable models for testing and benchmark purposes. In particular, when dealing with triangle meshes, a researcher may need to check the behavior of a new algorithm on several particular cases. In most situations, the test model is easily conceivable in mind but, at actual design time, its formalization turns out to be a much harder task than expected. Also, simple modifications over an existing triangle mesh may become a tedious work without a suitable interactive environment. In order to simplify the remeshing of existing models, we have developed a tool to interactively edit manifold triangle meshes, mostly through user friendly actions such as mouse clicks and drags.