Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship of Gelatınase B Enzyme Activity and Coronary Artery Disease

Matrix metalloproteinases (MMPs) play an important role in the pathogenesis of atherosclerosis, the pathology underlying the majority of coronary artery disease (CAD). We planned to investigate the association of enzyme activities of gelatinase B (or matrix metalloproteinase-9) in CAD patients. For this reason,102 patients with CAD and 99 control group recruited in this study. Serum gelatinase B enzyme level determinated from these peripheral blood samples by using Enzyme-Linked Immunosorbent Assay (ELISA). The results were evaluated by using statistical analyses. The level of gelatinase B increased in patients according to control group. As a result of our study, serum gelatinase B level was associated with CAD and could be used as a clinical marker.
Identification and Characterization of a Novel Cytoskeleton-Associated pp6Osrc Substrate

Transformation of cells by the src oncogene results in elevated tyrosine phosphorylation of two related proteins, p80 and p85 (p80/85). Immunostaining with specific monoclonal antibodies revealed a striking change of subcellular localization of p80/85 in src-transformed cells. p80/85 colocalizes with F-actin in peripheral extensions of normal cells and rosettes (podosomes) of src-transformed cells. Sequence analysis of cDNA clones encoding p80/85 revealed an amino-terminal domain composed of six copies of a direct tandem repeat, each repeat containing 37 amino acids, a carboxyl-terminal SH3 domain, and an interdomain region composed of a highly charged acidic region and a region rich in proline, serine, and threonine. The multidomain structure of p80/85 and its colocalization with F-actin in normal and src-transformed cells suggest that these proteins may associate with components of the cytoskeleton and contribute to organization of cell structure.
Task Scheduling in Heterogeneous Multiprocessor Environments – An Efficient ACO-Based Approach

In heterogeneous computing environments, finding optimized solutions continues to be one of the most important and yet, very challenging problems. Task scheduling in such environments is NP-hard, so efficient mapping of tasks to the processors remains one of the most critical issues to be tackled. For several types of applications, the task scheduling problem is crucial, and across the literature, a number of algorithms with several different approaches have been proposed. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the capabilities of ant colonies to find the shortest paths between their nests and food sources. Consequently, we propose an ACO-based algorithm, called rACS, as a solution to the task scheduling problem. Our algorithm utilizes pheromone and a priority-based heuristic, known as the upward rank value, as well as an insertion-based policy and a pheromone aging mechanism to guide the ants to high quality solutions. To evaluate the performance of our algorithm, we compared our algorithm with the ACS algorithm and the ACO-TMS algorithm using randomly generated directed acyclic graphs (DAGs). The simulation results indicated that our algorithm experienced comparable or even better performance, than the selected algorithms.
Hemorrhagic Stroke in Infancy: Risk Factors and Short-Term Outcome

68 children in the very acute/acute periods of hemorrhagic stroke in age from birth to 2 months are evaluated. The most severe outcomes have been represented in the group with subarachnoid and parenchymal hemorrhage with pierce into the ventricular system (6 of 10 patients with a fatal result). The most profound neurological deficit was formed in the group of operated patients (59.4%). Unfavorable factors of stroke outcome are: the depth of localization hematoma (intraventricular hemorrhage or a breakthrough into the ventricles), the level of consciousness by GCS, with availability burdened premorbid background. According to our observations the operated patients had a relatively (compared to non-operated) low percentage of mortality, but have more severe neurological deficits.
ROBUST ESTIMATION IN STRUCTURED LINEAR REGRESSION BY LAMINE MILI

A structured linear regression model is one in which there are perma- nent dependencies among some p row vectors of the n = p design matrix . To study structured linear regression, we introduce a new class of robust estimators, called D -estimators, which can be regarded as a generalization of the least median of squares and least trimmed squares estimators . They minimize a dispersion function of the ordered absolute residuals up to the rank h . We investigate their breakdown point and exact ﬁt point as a function of h in structured linear regression . It is found that the D - and S -estimators can achieve the highest possible breakdown point for h appropriately chosen . It is shown that both the maximum breakdown point and the corresponding optimal value of h , h , are sample depen- op dent . They hinge on the design but not on the response . The relationship between the breakdown point and the design vanishes when h is strictly larger than h . However, when h is smaller than h , the breakdown op op point depends in a complicated way on the design as well as on the response .
ESKİŞEHİR TEKNİK ÜNİVERSİTESİ BİLİM VE TEKNOLOJİ DERGİSİ B-TEORİK BİLİMLER

The missing values in the datasets are a problem that will decrease the machine learning performance. New methods are recommended every day to overcome this problem. The methods of statistical, machine learning, evolutionary and deep learning are among these methods. Although deep learning methods is one of the popular subjects of today, there are limited studies in the missing data imputation. Several deep learning techniques have been used to handling missing data, one of them is the autoencoder and its denoising and stacked variants. In this study, the missing value in three different real-world datasets was estimated by using denoising autoencoder (DAE), k-nearest neighbor (kNN) and multivariate imputation by chained equations (MICE) methods. The estimation success of the methods was compared according to the root mean square error (RMSE) criterion. It was observed that the DAE method was more successful than other statistical methods in estimating the missing values for large datasets.
The Impact of Gardener Therapy on Behavioral Problems in Slow-Step Students

Aim: The purpose of this study was to investigate the effectiveness of gardener therapist on behavioral problems of slow-step children. Methods: This was a semi-experimental design research study with pre-test and post-test design with control group. The statistical population included all the slow-step students in the step-by-step educational program of Ramadan in Mash city in 2017, in which 30 students were accessible by method. The title of the research was selected. Subjects were randomly assigned into experimental and control groups (15 experimental and 15 control groups). At first, their instructor completed the Conner's Behavioral Problem Questionnaire (instructor's form) (pre-test). Subsequently, the experimental group was exposed to 12 sessions of the therapist for the period of 45 minutes per week. Instructor again filled the questionnaire at the end and after two weeks, for both groups (post-test). The data were analyzed with the help of covariance analysis. Results: The results showed that the observed difference between the mean scores of behavioral problems of the participants in the experimental and control group according to the group membership in the post-test stage was considerably significant with 99% confidence interval. The effect of the intervention was 88%. Conclusion: Gardener therapy is effective on the behavioral problems of slow-graded students and it can be used as a therapeutic tool.
Oncogenic Transformation in Epithelial Cell Lines Derived from Trachea! Expiants Exposed in Vitro to /V-Methyl-A/'-mtro-A/-mtrosoguanidme1

Rat trachÃ©alexplants were exposed to /V-methyl-A/'-nitro-A/-nitrosoguanidine (MNNG), a known potent carcinogen, for ex amination of oncogenic transformation in respiratory tract epi thelium in vitro. Organ cultures were exposed for 6 hr on Days 3 and 6 of culture to 0, 0.001, 1.0, or 10.0 Â¡igof MNNG per ml of medium. Primary epithelial cell cultures, derived from 25 of the 30 carcinogen-exposed expiants, underwent a distinct morphological change after approximately 160 days of culture. Only after this change could primary cell cultures be subcultured into cell lines. No cell lines could be established from control tissue. Tumorigenicity of the cell lines was determined after approximately 10 or 20 passages by inoculation of 106 cells into the thighs of immunosuppressed isogeneic rats. The number of expiants that yielded tumorigenic cell lines was 0, 5, 6, and 9, respectively, for groups of 10 exposed to the above MNNG concentrations. The average latency period be tween inoculation and tumor appearance also showed a dose response. It was significantly shorter for cell lines in the group receiving 10 /Â¿g.MNNGper ml [59.8 Â±7.3 (S.E.) days] than for cell lines in the group receiving 0.001 /zg MNNG per ml (125 Â±10.7 days). Either adenosquamous cell carcinomas or keratinizing squamous cell carcinomas were obtained from cell lines in all groups. Four cell lines
Semantic Domains in Akkadian Texts

The Mesopotamian civilizations have left behind rich textual material in the Akkadian language, written in cuneiform script on artifacts excavated from that area.2 A variety of cuneiform scripts were used to write different languages in the ancient Near East,3 but we are here interested in what has often been called the Mesopotamian cuneiform tradition, which means texts mostly written in Sumerian (which has no known language relatives) and Akkadian (a Semitic language). Michael Streck estimated in 2010 that the number of published texts in Sumerian was approximately 102,300 (3.076 million words) and in Akkadian was approximately 144,000 (9.9 million words). 4 Of course, the published texts are only a segment of the total number of objects with cuneiform text in the museums of the world, and there are doubtless still more texts that have not been excavated that are still unknown to us. Due to the challenges of the cuneiform script, as well as the small number of Assyriologists, the texts are being published at a slow rate, but the number of published texts is continuously growing. According to some estimates, only 10 percent of the excavated texts on cuneiform tablets have been published. Since the late 1990s,
APPLICATIO(cid:8) OF GIS MODEL I(cid:8) PHYSICAL LA(cid:8)D EVALUATIO(cid:8) SUITABILITY FOR RICE CULTIVATIO(cid:8)

: The objective of this study was to establish spatial model in land evaluation for rice cultivation using GIS in Bafra Plain found in the Kızılırmak Delta and located in the central Black Sea region of Turkey. The study area covers about 4823.7 ha. A land unit resulted from the overlay process of the selected theme layers has unique information of land qualities for which the suitability is based on. The selected theme layers of rice include topographic factor (slope), soil physical factors (soil depth, soil texture, drainage, stoniness, hydraulic conductivity) and soil chemical factors (pH, electrical conductivity, CaCO 3 and soil fertility). These theme layers were collected from existing information. Spatial information of soil physical and soil chemical factors were formulated using soil map database. Slope layer of the study area was prepared from DEM. Each land characteristics is also considered as a thematic layer in the GIS. In addition, each of land quality layers with associated attribute data is digitally encoded in a GIS database. After combination of these layers, a resultant map was produced. Land suitability rating model applied to the resultant polygonal layer provided the suitability classes for field crops. Results showed that 79% of the study area is highly and moderately suitable for field crops, whereas 21% of the study area is low and non suitable for rice cultivation due to soil and land conditions. The resultant suitability classes were also checked with field experiment study. 12 rice species were used in experiments. ANOVA was done for grain yield and LSD 0.05 test was implemented for comparison of mean values in the TARIST statistics package. According to ANOVA results, it was found significantly positive relationship between land suitability classes and grain yield values. The grain yield values were affected at level of P <0.001 by land suitability class. In general, the highest grain yield was obtained from rice plots located in S1 class, S2 and S3 classes followed it as well. As for LSD 0.05 test results, the highest yield values were determined Halil Bey (789.9 a ), Osmancık-97 (760.5 ab ) and Durağan (751.0 b ) in 12 rice species for S1 class while, the highest yield values were found Osmancık-97 (696.1 a ), Şumnu (688.8 ab ) and Neğiş (654.1 bc ) in 12 rice species for S3 class.
Vehicle Routing: Problems, Methods, and Applications, Second Edition

Vehicle routing problems, among the most studied in combinatorial optimization, arise in many practical contexts (freight distribution and collection, transportation, garbage collection, newspaper delivery, etc.). Operations researchers have made significant developments in the algorithms for their solution, and Vehicle Routing: Problems, Methods, and Applications, Second Edition reflects these advances. The text of the new edition is either completely new or significantly revised and provides extensive and complete state-of-the-art coverage of vehicle routing by those who have done most of the innovative research in the area; it emphasizes methodology related to specific classes of vehicle routing problems and, since vehicle routing is used as a benchmark for all new solution techniques, contains a complete overview of current solutions to combinatorial optimization problems. It also includes several chapters on important and emerging applications, such as disaster relief and green vehicle routing. Audience: This book is intended for both researchers and graduate level students in operations research and applied mathematics. Practitioners will find this book particularly useful. Readers need a basic knowledge of the main methods for the solution of combinatorial optimization problems.
t eAchers ’ P ercePtion in r elAtion to the s ensory P rocessing of s tudents with A utism s Pectrum

: This study aimed to identify the perception of teachers in relation to the sensory processing of students with Autism Spectrum Disorder (ASD). Nineteen teachers of Early Childhood Education and early grades of Elementary Education from public schools in a municipality in the state of São Paulo, Brazil, participated in the research, as well as their 62 students. Data collection was carried out between the months of September 2018 and May 2019. A scale assessment of the Sensory Profile 2 of School Monitoring was used, which evaluates children and adolescents from the perspective of the teachers. The analysis of the results occurred through the categories of the instrument. In all categories, Quadrants (Sensory seeking, Sensory Avoiding, Sensory Sensitivity And Low Registration), Sensory and Behavioral Sections (Auditory, Visual, Tactile, Vestibular and Behavioral) and School Factors (School Factor 1, School Factor 2, School Factor 3 and School Factor 4 ), the classification of “More and Much More than the Majority of the Others” expressed the highest percentage, totaling, in all aspects assessed by the instrument 62.9%. The study identified that students with ASD, who have a characteristic profile of Sensory Integration dysfunctions are impacted by the condition of body structure and function in the teaching and learning processes and the participation in activities within the classroom. The results point to the importance of the occupational therapist’s actions in the school environment through collaborative work with the teacher, since the results in relation to the sensory profile directly interfere with the performance of students with ASD in view of the demands of activities in the school context.
REVIEW: CHEMICAL NEURO-CIRCUIT FROM A RECEPTOR ASPECT*

Recent histochemical works provided several lines of evidence showing discrepancies between localizations of neurotransmitters and their receptors. Therefore, re-consideration of the discrepancies from the receptor side seems crucial to understand exact chemical neuro-circuit. In this article, some examples of unexpected localization of neurotransmitter receptors were demonstrated. The following subjects were focused on in particular. (1) Localization of some glutamate receptors in rat pituitary gland. (2) Localization of glutamate receptors in the autonomic ganglia. (3) Mismatching of substance P and its receptor NK1 localizations in the strio-nigral system.
Society(cid:19)USA Panel Recommendations of the International AIDS Antiretroviral Treatment of Adult HIV Infection: 2010

Supplementary material http://jama.ama-assn.org/cgi/content/full/304/3/321/DC1 eSupplement Correction Contact me if this article is corrected. Citations Contact me when this article is cited. Topic collections Contact me when new articles are published in these topic areas. Disorders; Infectious Diseases HIV/AIDS; Review; Drug Therapy; Drug Therapy, Other; Immunology; Immunologic CME course Online CME course available.
Biochemical function of some of the minor elements

Mitchell, R. L. , Reith, J. W. S. & Johnston, I. M. (1957). J. Sci. Fd Agric. 8, S ~ I . Nockolds, S. R. & Mitchell, R. L. (1948). Trans. roy. SOC. Edinb. 61, 533. Swaine, D. J. & Mitchell, R. L. (1960). J. Soil Sci. (In the Press.) Vinogradov, A. P. (1959). The Geockemistry of Rare and Dispersed Chemical Elements in Soils. New York: Consultants Bureau. Wager, L. H. & Mitchell, R. L. (1951). Geochim. et cosmoch. Acta, I, 129 Bear, editor. ] New York: Reinhold Publishing Corp.
An Acylated Cyanidin 3,7-diglucoside in the Bluish Flowers of Bletilla striata ‘Murasaki Shikibu’ (Orchidaceae)

A novel acylated anthocyanin was identified from the violet flowers of Bletilla striata ‘Murasaki Shikibu’ as a major floral anthocyanin. This pigment was based on cyanidin 3,7-diglucoside as its deacylanthocyanin, and was acylated with two molecules of caffeic acid. The structure was unambiguously elucidated by chemical and spectroscopic methods to be cyanidin 3-O-(β-glucopyranoside)-7-O-[6-O-(4-O-(6-O-(4-O-(β-glucopyranosyl)-trans-caffeoyl)-β-glucopyranosyl)-trans-caffeoyl)-β-glucopyranoside]. Based on the results of the present study, the bluing effect was discussed for the violet flowers of a given cultivar.
Nuclear C(e, e′p) Transparencies in a Relativistic Glauber Model

In light of the recent Jefferson Laboratory (JLab) data for the nuclear 12C(e,e′p) transparencies, calculations, obtained in a relativistic multiple scattering Glauber approximation, are discussed. The shell-separated 12C transparencies are shown and it is concluded that the p-shell nucleons are 75% more transparent than the s-shell ones. The presented comparisons between the calculations made here and the current 12C(e,e′p) data show no clear indication for the onset of color transparency when implemented within the color diffusion model with standard parameters.
Joint Manifold Learning and Density Estimation Using Normalizing Flows

Based on the manifold hypothesis, real-world data often lie on a low-dimensional manifold, while normalizing flows as a likelihood-based generative model are incapable of finding this manifold due to their structural constraints. So, one interesting question arises: $\textit{"Can we find sub-manifold(s) of data in normalizing flows and estimate the density of the data on the sub-manifold(s)? "}$. In this paper, we introduce two approaches, namely per-pixel penalized log-likelihood and hierarchical training, to answer the mentioned question. We propose a single-step method for joint manifold learning and density estimation by disentangling the transformed space obtained by normalizing flows to manifold and off-manifold parts. This is done by a per-pixel penalized likelihood function for learning a sub-manifold of the data. Normalizing flows assume the transformed data is Gaussianizationed, but this imposed assumption is not necessarily true, especially in high dimensions. To tackle this problem, a hierarchical training approach is employed to improve the density estimation on the sub-manifold. The results validate the superiority of the proposed methods in simultaneous manifold learning and density estimation using normalizing flows in terms of generated image quality and likelihood.
Anomalous Hall conductivity and quantum friction

Anomalous Hall effect in very clean samples (high conductivity regime) is studied using a two-dimensional network model. We find that the off-diagonal conductivity comprises two parts: one which reflects the bulk properties as obtained by the Kubo formula and another which is sensitive to boundary conditions imposed on the network. The latter scales with the system width in the ideal case and for real-world samples, it will depend on the coherence length. It provides an alternative interpretation of the observed behaviour in the clean limit which is otherwise attributed to the skew scattering. We highlight analogies to friction in viscous fluids responsible for Couette flow.
Hadronic medium effects on 
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In this work we study the interactions of the multiquark state $Z_{cs} (3985)^-$ with light mesons in a hot hadron gas. Using an Effective Lagrangian framework, we estimate the vacuum cross sections as well as the thermal cross sections of the production processes $ \bar{D}_{s}^{(*)} D_{s}^{(*)} \rightarrow Z_{cs}^- X \, (X=\pi , K, \eta) $ and the corresponding inverse reactions. The results indicate that the considered processes have sizeable cross sections. Most importantly, the thermal cross sections for $Z_{cs}$ annihilation are much larger than those for production. This feature might produce relevant effects on some observables, such as the final $Z_{cs}$ multiplicity, measured in heavy ion collisions.