Miracle-dz/UniFAR-FTUs huggingface dataset:
of Thiamin Therapy in Space Occupying Lesions : Preliminary Approach of Physiologic Therapy of Tumors Article Information

Article Information Benjamin Y Lee1,3* Julia H Bai2 LI Zhengya3 WANG Yanrong3 1Author’s mailing address:21330 Branford Hills Lane, Katy, TX, 77450, USA 2Master Program Student, Department of Epidemiology, Texas A&M University, Institute address: 400 Bizzell St. College Station, TX, 77843, USA 3Medical volunteer, LI Zhengya & WANG Yanrong assistants of Uncle Ben’s Clinic Service address: Uncle Ben’s Clinic at Xiaoshawo village in the west suburban area of Tianjin City, 300380, China.
Heterosis Studies in Barley (Hordeum vulgare L.) Under Heat Stress Environment

The present investigation was carried out to estimate relative heterosis and heterobeltiosis in barley genotypes to identify desirable cross combinations under heat stress for days to anthesis, duration from anthesis to maturity, days to maturity, plant height, number of effective tillers per plant, flag leaf area, number of grains per spike, peduncle length, spike length, 1000-grain weight, biological yield per plant, grain yield per plant and harvest index. The F1 crosses were made in half diallel fashion using 10 genotypes. The experiment was conducted in randomized block design with three replications during rabi 2016-17. The results revealed sufficient degree of heterosis and heterobeltiosis for all the characters studied. On the basis of per se performance, heterosis and heterobeltiosis, the crosses RD-2035XRD-2052 and RD-2592XRD2660 emerged as good cross combinations for grain yield per plant in heat stress environment. Therefore, it could be concluded that these cross combinations may be exploited in future breeding programme for the development of good heterotic gene pool of barley for improving grain yield and other contributing traits under heat stress environment.
Impact Factor : 3 . 125 ( RIF ) Effect of Circuit Weight Training on Physical Fitness Variables Of Gorakhpur University Football Players

The purpose of the study was to find out the effect of eight week circuit weight training on physical fitness variables of Gorakhpur university football players. A total of thirty (N=30) men university level football players were selected from GorakhpurUniversity. The age of the subjects ranged from 18 to24 years and fifteen (N=15) players were acted as control group (Group A), and (N=15) players acted as experimental group (Group B). Total duration was for eight weeks with three days per week. Control group was not involved in any training. All the subjects were tested on the selected physical fitness variables such as leg strength, leg explosive power and abdominal strength endurance before and after eight week of circuit weight training. The data pertaining to the physical fitness variables were statistically analyzed with analysis of covariance (ANCOVA). In all cases 0.05 level of confidence was fixed as a level of confidence to test the hypothesis. The finding of the study reviles that the experimental group had made a significant different in all the selected physical fitness variables such as leg strength, leg explosive power abdominal strength endurance when compared to control group. Hence it was concluded that eight week of circuit weight training improved the selected physical fitness variables of Gorakhpur university men football players.
ENGAGING THROUGH ENTERTAINMENT?

Exposure to political information in the media is a core concept for communication scientists. How to measure this concept is highly disputed, primarily due to the difficulties of getting accurate selfreports. The growing supply of outlets and political information has added an additional level of complexity to these problems. Reflecting on old and new approaches it is argued that both the specific source and the frequency of exposure must be taken into account. The validity of this so-called “listfrequency technique” is tested using a large-scale representative survey from Denmark (N = 4,641) as well as a split sample experiment from the survey pre-pest (N = 291) to enable comparison with the simpler “list technique”. The results support the list-frequency technique in being the best current solution, since it provides the same aggregate estimates of media use as the already validated list technique, and further gives more detailed effect estimates and increases the amount of explained variance when predicting levels of political knowledge. * Current status: “Revise and resubmit” for Journal of Communication Methods and Measures’ special issue “Communication Exposure in a Changing Environment”. ENGAGING THROUGH ENTERTAINMENT? 24/94 2.
Anisotropic migration velocity analysis from residual moveout transformation in angle-domain common-image gathers

We present the application of anisotropic migration velocity analysis (MVA) on synthetic data and on a real dataset acquired in the North Sea. The method we use to estimate anisotropic migration velocities is based on the computation and analysis of angle-domain common-image gathers (ADCIGs) in conjunction with anisotropic wavefield-continuation migration. Assuming flat reflectors and vertically transversely isotropic (VTI) media, we compute anisotropic velocity spectra from a residual moveout (RMO) transformation, based on the theoretical expression of the RMO in anisotropic ADCIGs as a function of perturbations in migration velocities. In the first part of this paper, we briefly present the theory of ADCIGs and the derivation of the mathematical expression of the RMO function. In the second part, we analyze synthetic data with the method we propose to estimate anisotropic migration velocities. We demonstrate that our method is unable to resolve vertical velocities but nevertheless accurately estimates horizontal and normal moveout (NMO) velocities even for significant perturbations in the velocity model, provided the range of aperture angle is not too small. In the last part of this paper, we demonstrate on real data the validity of our estimation method, by showing it indicates the presence of velocity anellipticity in layers stratigraphically interpreted as anisotropic and for which well data do not match seismic data migrated under the assumption of isotropy.
Twin Deficits: New evidence from a Arab world

We test the relationship between the current account and fiscal policy for a group of small open economies. Specifically, we test the viewpoint of a Ricardian infinitehorizon representative agent model in which lower public savings are met by equal increases in private savings, and as a result the current account does not respond to the changes in government spending, against a Keynesian's conventional viewpoint in which a fall in public savings has an adverse effect on the current account balance. Evidence from a panel data analysis supports the conventional theory of a positive relationship between fiscal and external balances, but after controlling for inflexibilities and a measure to account for the state of development within the economies, the sensitivity of the current account to changes in the fiscal position reduces. Our estimates show that a rise by one percent of the fiscal-deficitinduces the current-accountto deteriorate by between 0.45 to 0.85 percentage points.
Differentiating hepatic metastases of gastroenteropancreatic neuroendocrine cancer and adenocarcinoma using enhanced CT

Recent studies have demonstrated that dynamic enhanced CT has potential for distinguishing gastroenteropancreatic neuroendocrine cancer (GEP-NEC) from gastroenteropancreatic adenocarcinoma (GEP-ADC). However, little is known about the performance of CT in differentiating hepatic metastases of those tumors. We therefore aimed to assess the capability of contrast-enhanced CT to differentiate between GEP-NEC and GEP-ADC hepatic metastases. CT images of 33 cases of GEP-NEC hepatic metastases and 33 cases of GEP-ADC hepatic metastases were retrospectively reviewed. Qualitative analysis included tumor distribution, the presence or absence of tumor-feeding arteries and intratumoral neovascularity, and dynamic enhancement patterns. Quantitative analysis included tumor size, tumor number, measurement of CT attenuation of tumors and adjacent liver parenchyma, and calculation of the enhancement ratio of the lesion versus the surrounding liver in the hepatic arterial phase (T-L/A) and portal venous phase. There was a significantly higher prevalence of tumor feeding arteries (72.7% vs. 36.4%, p=0.003) and intratumoral neovascularity (57.6% vs. 12.1%, p<0.001) and less plateau enhancement (42.4% vs. 84.8%, p=0.002) in GEP-NEC hepatic metastases than GEP-ADC hepatic metastases. The mean T-L/A in GEP-NEC hepatic metastases was significantly higher compared to GEP-ADC hepatic metastases (0.90±0.24 vs. 0.72±0.19, p=0.001). Regression analysis identified the presence of intratumoral neovascularity as the only independent predictor of GEP-NEC hepatic metastases on CT (odds ratio=7.097; 95% CI=1.852-27.196; p=0.004). Together, these results suggest that contrast-enhanced CT may have clinical application in the differential diagnosis of hepatic metastases from GEP-NEC or GEP-ADC.
Effect of Epistemological beliefs , learning approach and Reflective thinking on academic achievement

The purpose of this study was to investigate the Effect of Epistemological Beliefs, Learning Approach, And Reflective Thinking On Academic Achievement. Through multistage cluster sampling 332 subjects (176 females, 156 males) were selected from all male and female mathematic student in Tehran Universities. To collect the data three questionnaires, i.e, Schommer Epistemological Questionnaire (EQ, Schommer, 1990), Revised Study Process Questionnaire (R-SPQ-2F, Biggs, Kember & Leung, 2001)' and Reflective Thinking Questionnaire (RTQ, Kember et al, 2000). The results indicated that the obtained model fit the data adequately. It was found that epistemological beliefs predicted learning approach and academic performance and learning approaches predicted reflective thinking and academic performance. Furthermore, learning approaches mediated the effect of epistemological beliefs on reflective thinking and academic performance. Key-Words: Epistemological beliefs, learning approach, Reflective thinking
Strategies for Similarity-based Learning

Strategies for Similarity-based Learning Yihua Chen Chair of the Supervisory Committee: Professor Maya R. Gupta Electrical Engineering This dissertation addresses the problem of learning from similarity data. Such similaritybased learning problems arise in bioinformatics, computer vision, information retrieval, natural language processing, and a broad range of other fields. I first review the field of similarity-based classification. Then I propose two design goals for similarity-based weighted nearest-neighbor classifiers. Based on these design goals, two weighting methods are proposed. Then a comparative study of ten similarity-based classification methods is presented with a comprehensive set of experimental results on eight real data sets. Similarity measures in many real applications generate indefinite similarity matrices. These indefinite kernels can be problematic for standard kernel-based learning algorithms as the optimization problems become nonconvex and the underlying theory is invalidated. In order to adapt kernel methods for similarity-based learning, I introduce a method that aims to simultaneously find a reproducing kernel Hilbert space based on the given indefinite similarities and train a classifier with good generalization in that space. The method is formulated as a convex optimization problem. I also propose a simplified version that can reduce overfitting and whose associated convex optimization problem can be solved efficiently. The proposed simplified version is extended to multiple kernel learning, where indefinite similarities are combined with multiple kernels for the learning task. Lastly, I discuss the research on completing a kernel matrix with missing rows and columns using auxiliary information, and sketch a possible direction for future research.
Inhibitory Effects of Sunflower Root and Leaf Extracts on Germination and Early Seedling Growth of Amaranth and Purple Nutsedge

To identify the allelopathic effect of sunflower, the effect of different aqueous extracts (0%, 2.5%, 5%, 7.5 % and 10% m/v) obtained from roots, stem and leaves of sunflower on the seed germination and early seedling growth of amaranth and purple nutsedgewere studied by bioassay. All extracts of sunflowerin most cases inhibited the seed germination and early seedling growth of amaranth and purple nutsedge. Leaf extracts was more effective to germinationand early seedling growth than the root and stem extract. The effectiveness of these extracts on the root growth wasgreater than that of the shoot growth of the test plants. Growth studies conducted in soil amended with different amounts of sunflowerresidues also revealed phytotoxic effects of residues on seed germination and seedling development of both weed species. Dry weight, leaf area and height of weeds were determined. The results of greenhouse experiments indicated that incorporation of sunflower residues in the soil (fresh or decomposed residues) reduced growth of amaranth and purple nutsedge. The difference between fresh and decomposed residues was not significant. This study indicated that, fresh stem residues of sunflower are able to apply, its harmful effects on dry weight, leaf area and height of both weeds species.
On the module structure of the center of hyperelliptic Krichever–Novikov algebras II

Abstract Let corresponding to a nonsingular hyperelliptic curve. Let be the corresponding current Lie algebra. The universal central extension of is where is a module over In earlier work, Cox–Im described how decomposes into a direct sum of irreducible representations when was the cyclic group or the dihedral group In this paper, we precisely determine giving examples of 2n-tuples when is or (n even). We then describe the decomposition of when is
Propagation of citrus rootstocks by stem cutting using auxin pretreatments : the case of citrumelo ( Citrus paradisi Macf . x Poncirus trifoliata ( L . ) Raf . )

In order to develop effective methods for rapid clonal multiplication of citrus rootstocks, we propose herein to investigate the effect of exogenously applied auxins on rooting and establishment of spring cuttings of two citrumelo accessions (Citrus paradisi Macf. x Poncirus trifoliata L. Raf), i.e. Swingle and Sacaton. Cuttings were taken from young greenhouse seedlings and exposed for 24 hours to different treatments including three auxin types (indole-3-acetic acid (IAA), indole-3-butyric acid (IBA) and naphthalene acetic acid (NAA)) and two concentrations of each one (100 and 200 ppm). Treated cuttings were then raised along with control cuttings under greenhouse conditions for six weeks. The results taken at the end of this period have shown significant variations in response to auxin treatments regarding survival, rooting and sprouting parameters. These followed similar patterns for the two accessions and were found to be dependant on the nature of the auxin rather than its concentration, the genotype or the interaction of these factors. Among the different combinations tested, IBA at 100 ppm level gave the highest survival (100%), the highest rooting percentage (100%) and was selected as the most suitable for promoting sprouting of citrumelo cuttings. By contrast, the application of NAA gave poor results and exerted a particular inhibitory effect on initiation of Swingle citrumelo roots and sprouts. Received 03 Sep 2016, Revised 16 Feb2017, Accepted 19 Feb 2017
QUICKEST DETECTION OF SIGNIFICANT EVENTS IN NETWORKS

The problem of quickest detection of significant events in networks is studied. A distributed setting is investigated, where there is no fusion center, and each node only communicates with its neighbors. After an event occurs in the network, a number of nodes are affected, which changes the statistics of their observations. The nodes may possibly perceive the event at different times. The goal is to design a distributed sequential detection rule that can detect when the event is “significant”, i.e., the event has affected no less than η ≥ 1 nodes, as quickly as possible, subject to false alarm constraints. A distributed algorithm is proposed, which is based on a novel combination of the alternating direction method of multipliers (ADMM) and average consensus approaches. Numerical results are provided to demonstrate the performance of the proposed algorithm.
The ACL RD-TEC 2.0

The ACL RD-TEC 2.0 has been developed with the aim of providing a benchmark for the evaluation of methods for terminology extraction and classification as well as entity recognition tasks based on specialised text from the computational linguistics domain. This release of the corpus consists of 300 abstracts from articles in the ACL Anthology Reference Corpus, published between 1978--2006. In these abstracts, terms (i.e., single or multi-word lexical units with a specialised meaning) are manually annotated. In addition to their boundaries in running text, annotated terms are classified into one of the seven categories method, tool, language resource (LR), LR product, model, measures and measurements, and other. To assess the quality of the annotations and to determine the difficulty of this task, more than 171 of the abstracts are annotated twice, independently, by each of the two annotators. In total, 6,818 terms are identified and annotated, resulting in a specialised vocabulary made of 3,318 lexical forms, mapped to 3,471 concepts.
Modeling high-redshift galaxies: what can we learn from high and ultra-high resolution hydrodynamical simulations?

Abstract We present results from a high resolution cosmological galaxy formation simulation called Mare Nostrum and a ultra-high resimulation of the first 500 million years of a single, Milky Way (MW) sized galaxy. Using the cosmological run, we measure UV luminosity functions and assess their sensitivity to both cosmological parameters and dust extinction. We find remarkably good agreement with the existing data over the redshift range 4 < z < 7 provided we adopt the favoured cosmology (WMAP 5 year parameters) and a self-consistent treatment of the dust. Cranking up the resolution, we then study in detail a z = 9 protogalaxy sitting at the intersection of cold gas filaments. This high-z MW progenitor grows a dense, rapidly spinning, thin disk which undergoes gravitational fragmention. Star formation in the resulting gas clumps rapidly turns them into globular clusters. A far reaching galactic wind develops, co-powered by the protogalaxy and its cohort of smaller companions populating the filaments. Despite such an impressive blow out, the smooth filamentary material is hardly affected at these redshifts.
ICT Usage amongst University of Ghana Distance Education Learners , Koforidua

Rexford Owusu Okyireh School of Business – Marketing, Procurement and Supply Chain Department University of Education,Winneba. okyirehjoe@yahoo.co.uk/rookyireh@uew.edu. gh Abstract The usage of Information Communication Technologies (ICT) in learning has been on the increase as a result of continuous efforts by higher educational institutions to offer programs at different geographical locations. As a result of this, students are encouraged to learn using ICT tools which make teaching and learning much easier compared to traditional ways of learning. This however has challenging effects on the efficiency and health of students who opt for distance education. The research explored the issues with a sample size of 5 respondents from the University of Ghana long distance centre at Koforidua. It was reported that the challenges of ICT usage outweighed its benefits. In that regard, three main themes namely technical, educational and health problems emerged whilst the benefits were portability, access to information, technology advancement, marketing strategies, mixed coping strategies and entertainment. Implications for theory and practice are discussed.
Synthetic Data w / Part Labels Cross-Domain Complementary Learning Pose Estimation for Cross-Domain Alignment Auxiliary Task Predicting Parts on Real Data

The success of supervised deep learning depends on the training labels. However, data labeling at pixel-level is very expensive, and people have been exploring synthetic data as an alternative. Even though it is easy to generate labels for synthetic data, the quality gap makes it challenging to transfer knowledge from synthetic data to real data. In this paper, we propose a novel technique, called cross-domain complementary learning that takes advantage of the rich variations of real data and the easily obtainable labels of synthetic data to learn multi-person part segmentation on real images without any human-annotated segmentation labels. To make sure the synthetic data and real data are aligned in a common latent space, we use an auxiliary task of human pose estimation to bridge the two domains. Without any real part segmentation training data, our method performs comparably to several supervised state-of-the-art approaches which require real part segmentation training data on Pascal-Person-Parts and COCO-DensePose datasets. We further demonstrate the generalizability of our method on predicting novel keypoints in the wild where no real data labels are available for the novel keypoints.
TIME DELAY AND SATURATION CAPACITY INTERACTION IN THE CONTROL OF STRUCTURES UNDER SEISMIC ACTIONS

For the last thirty years, many structural control concepts have been evolved for the reduction of structural response caused by earthquake excitations, and quite a few of them have been implemented in practice showing that control of structures has a lot of limitations and difficulties in practical implementation. In this paper we discuss the effectiveness of two practical issues, time delay and saturation effect, on the performance of control devices. Their influence, both separately and in interaction, to the response of structures controlled by a modified pole placement algorithm, developed by the authors, is investigated. The above approach is demonstrated by means of numerical examples, where one story building is analyzed under dynamic loads such as harmonic signals and actual seismic events. Conclusions regarding the choice of the control system based on its delay and the maximum capacity of the control devices are drawn. Nikos G. Pnevmatikos, Charis J. Gantes