Miracle-dz/UniFAR-FTUs huggingface dataset:
TELKOMNIKA Telecommunication Computing Electronics and Control

Waleed A. Hammood, Afrig Aminuddin, Omar A. Hammood, Khairul Hafezad Abdullah, Davi Sofyan, Majid Rahardi Department of Information Systems, Faculty of Computer Science and Information Technology, University of Anbar, Ramadi, Iraq Department of Computer Science, College of Science and Engineering, Bayan University, Erbil, Iraq Faculty of Computer Science, Universitas Amikom Yogyakarta, Sleman, Indonesia Business Administration Department, Faculty of Administration and Economics, University of Fallujah, Fallujah, Iraq Department of Academic Affairs, Universiti Teknologi MARA, Perlis Branch, Malaysia Faculty of Teacher Training and Education, Universitas Majalengka, Majalengka, Indonesia
Conformation Selection by ATP-competitive Inhibitors and Allosteric Communication in ERK2

Activation of the extracellular signal regulated kinase-2 (ERK2) by phosphorylation has been shown to involve changes in protein dynamics, as determined by hydrogen-deuterium exchange mass spectrometry (HDX-MS) and NMR relaxation dispersion measurements. These can be described by a global exchange between two conformational states of the active kinase, named “L” and “R”, where R is associated with a catalytically productive ATP-binding mode. An ATP-competitive ERK1/2 inhibitor, Vertex-11e, has properties of conformation selection for the R-state, revealing movements of the activation loop that are allosterically coupled to the kinase active site. However, the features of inhibitors important for R-state selection are unknown. Here we survey a panel of ATP-competitive ERK inhibitors using HDX-MS and NMR and identify 14 new molecules with properties of R-state selection. They reveal effects propagated to distal regions in the P+1 and helix αF segments surrounding the activation loop, as well as helix αL16. Crystal structures of inhibitor complexes with ERK2 reveal systematic shifts in the Gly loop and helix αC, mediated by a Tyr-Tyr ring stacking interaction and the conserved Lys-Glu salt bridge. The findings suggest a model for the R-state involving small movements in the N-lobe that promote compactness within the kinase active site and alter mobility surrounding the activation loop. Such properties of conformation selection might be exploited to modulate the protein docking interface used by ERK substrates and effectors.
University of Birmingham Development of a high-sensitivity ELISA detecting IgG, IgA and IgM antibodies to the SARS-CoV-2 spike glycoprotein in serum and saliva

seroCOnversion Abstract Detecting antibody responses during and after SARS- CoV- 2 infection is essential in determining the seroepidemiology of the virus and the potential role of antibody in disease. Scalable, sensitive and specific serological assays are essential to this process. The detection of antibody in hospitalized patients with severe disease has proven relatively straightforward; detecting responses in subjects with mild disease and asymptomatic infections has proven less reliable. We hypothesized that the suboptimal
Feeding strategies to obtain high quality milk in intensive dairy sheep production systems

Castile and Leon is the main producing region of ovine milk in Spain, with more than 60% of national milk production and more than 40% of sheep census. Current systems of dairy sheep production in this area are characterized by an important increase in milk yield (55%) in the last decade and a lower number of farms. These changes result from enlarged flock size, use of specialized breeds, intensification, and a high individual production (over 300 L/ewe on average), which rely on feeding systems including no grazing and low forage: concentrate ratios. Under this situation, the nutritional value of the milk fat, in terms of impact on consumers’ health, can be detrimentally affected. It is known that moving away from pasture-based diets increases undesirable saturated and decreases potentially health-promoting (e.g., 18:3n-3, CLA, or trans-11 18:1) fatty acid (FA) levels. On the other hand, it provides an incomparable scenario to develop nutritional strategies to enhance milk quality. Dairy ewe diet supplementation with vegetable or marine lipids enables modulation of milk FA composition towards a healthier profile. However, the latter strategy causes milk fat depression, which prevents its application under practical farm conditions. Other compounds, such as tannins, may also modulate milk FA composition. From a research point of view, it is expected that new disciplines (e.g., nutrigenomics), may provide new insights into the mechanisms underlying the nutritional regulation of mammary lipogenesis and enable to modify, naturally and effectively, ovine milk fat without impairing animal performance.
of Sex differences in epidemiology and risk factors of acute coronary syndrome in Chinese patients with type 2 diabetes

Objective Diabetic patients with acute coronary syndrome (ACS) are at higher risk of poor outcome than are non-diabetic patients with ACS. Few studies have focused on sex-related ACS incidence, ACS-related mortality or risk factors to affects sex specific ACS in Chinese with Type 2 diabetes mellitus (T2DM). Based on a hospital-based cohort of Chinese patients with T2DM, we aimed to investigate whether there was sex difference in ACS or ACS-related mortality or risk factors of ACS. systematically ACS-related similar between men and (log rank χ 2 =0.063, P=0.802). Besides age and albuminuria, different profiles of risk factors accounted for the occurrence of ACS between men and women. Our findings demonstrated sex differences in ACS incidence and risk factors, but not in ACS-related mortality in Chinese patients withT2DM. These findings suggest that screening and prevention campaigns should be optimized for men and women, which may help to identify diabetic patients at higher risk of coronary heart disease.
THE EFFECT OF TEMPERATURE AND PHOTOPERIOD ON THE RESPIRATORY METABOLISM OF RAINBOW TROUT (SALMO GAIRDNERI)

Mid-winter spawning rainbow trout (Salmo gairdneri) were acclimated for a minimum of 43 days to one of four temperature–photoperiod conditions: 16 °C–16L (hours daily photoperiod), 16 °C–8L, 8 °C–16L, 8 °C–8L. Oxygen consumption of the intact fish and of samples of liver, gill, and brain were measured at acclimation temperature.Brain showed complete metabolic compensation to temperature ( at at 16 °C) and liver showed overcompensation ( at at 16 °C). No compensation occurred in gill respiration. Total respiration showed partial temperature compensation. It is suggested that complete compensation in brain would maintain nervous co-ordination and motor conduction at optimal levels, thus permitting a large degree of temperature independence of locomotor activity. values of the tissue showed a trend for the 8L tissues to metabolize more rapidly than the 16L group, except for gill at 16 °C. Photoperiod did not significantly affect total metabolic rates, but in the larger fish (> 40 g) at 16 °C, the 8L group te.
Planning, markets, and patterns of residential growth in metropolitan prague

This paper analyzes the patterns of urban growth and land-use change in metropolitan Prague since the collapse of the socialist regime in 1989. The discussion is focused on the growth and dispersal of single-family development as the most clearly pronounced shift in the spatial evolution of the Czech capital in the last two decades. The observed processes of residential suburbanization are related to the impact of market forces and planning. The main thesis is that while suburbanization has been fueled by market forces, post-socialist planning has played a significant role in new residential development patterns as well. This argument differs from the view commonly presented in the literature, which renders post-socialist planning weak and inconsequential. The study concludes that while municipal governments in Prague's metropolitan area have been successful in pursuing their individual goals, the attainment of sustainable metropolitan growth objectives requires a level of intergovernmental coordination that has been acutely lacking since the beginning of the transition period. © 2012, Locke Science Publishing Company, Inc.
Construct validity of the Nepalese school leaving english reading test

ABSTRACT There has been a steady interest in investigating the validity of language tests in the last decades. Despite numerous studies on construct validity in language testing, there are not many studies examining the construct validity of a reading test. This paper reports on a study that explored the construct validity of the English reading test in the Nepalese school leaving examination. Eight students were asked to take the test and think-aloud, followed by retrospective interviews. Additionally, seven experts were asked to make judgments regarding the skills tested by the test. The findings provide grounded insights into students’ response behaviors prompted by the reading tasks, and indicate some threats to the construct validity of the test. Additionally, the study reports a low level of agreement among the experts, and a big gap between the skills used by the students and the skills that the experts thought were being examined by the test.
Engineering , Construction and Architectural Management Planning and controlling design in engineered-to-order prefabricated building systems

Purpose – The purpose of this paper is to propose a model for planning and controlling the design process in companies that design, manufacture and assemble prefabricated engineer-to-order (ETO) building systems. This model was devised as an adaptation of the Last Planner® System for ETO multiple-project environments. Design/methodology/approach – Design science research, also known as prescriptive research, was the methodological approach adopted in this research. An empirical study was carried out at the design department of a leading steel fabricator from Brazil, in which the proposed model was implemented in six different design teams. Findings – The main benefits of the proposed model were shielding design work from variability, encouraging collaborative planning, creating opportunities for learning, increasing process transparency, and flexibility according to project status. Two main factors affected the effectiveness of the implementation process commitment and leadership of design managers, and training on design management and project planning and control core concepts and practices. Research limitations/implications – Some limitations were identified in the implementation process: similarly to some previous studies (Ballard, 2002; Codinhoto and Formoso, 2005), the success of constraint analysis was still limited; some of the metrics produced (e.g. ABI, causes of planning failures) have not been fully used for process improvement; and systematic feedback about project status was not properly implemented and tested. Originality/value – The main contributions of this study in relation to traditional design planning and control practices are related to the use of two levels of look-ahead planning, the introduction of a decoupling point between conceptual and detail design, the proposition of new metrics for the Last Planner® System, and understanding the potential role of visual management to support planning and control.
Analysis and forecast intercomparisons using the FGGE SOP-1 data base

The First GARP Global Experiment (FGGE) data base has provided the research community with the most complete global coverage of meteorological informaiton since measurements were first taken. It is important to understand the characteristics of the FGGE data base in terms of its accuracy and representativeness compared to the true state of the atmosphere. The uncertainty associated with the initial conditions used in a numerical model plays a significant role in subsequent error growth as shown by predictability theory. The ultimate limit of forecast skill is directly related to the initial uncertainty. The accuracy of analyses using FGGE data base coupled with the errors due to modeling imperfections determines the present skill of numerical models. An estimte of initial uncertainty is determined by examining differences in several FGGE analyses. The estimate is then used to determine an ultimate limit of forecast skill from derived predictability error growth rates. Several different calculations of predictability error growth are also compared. Finally, present-day forecast skill using FGGE analyses is contrasted to the estimates of ultimate skill, and the partition of model error versus initial uncertainty is discussed.
Understanding Society Innovation Panel Wave 7: Results from Methodological Experiments

This paper presents some preliminary findings from Wave 7 of the Innovation Panel (IP7) of Understanding Society: The UK Household Longitudinal Study. Understanding Society is a major panel survey in the UK. In June 2014, the seventh wave of the Innovation Panel went into the field. IP7 includes a new refreshment sample and used a mixed-mode design, using on-line interviews and face-to-face interviews. This paper describes the design of IP7, the experiments carried and the preliminary findings from early analysis of the data.
ICA mixture model algorithm for unsupervised classification of remote sensing imagery

Conventional remote sensing classification algorithms assume that the data in each class can be modelled using a multivariate Gaussian distribution. As this assumption is often not valid in practice, conventional algorithms do not perform well. In this paper, we present an independent component analysis (ICA)‐based approach for unsupervised classification of multi/hyperspectral imagery. ICA used for a mixture model estimates the data density in each class and models class distributions with non‐Gaussian (sub‐ and super‐Gaussian) probability density functions, resulting in the ICA mixture model (ICAMM) algorithm. Independent components and the mixing matrix for each class are found using an extended information‐maximization algorithm, and the class membership probabilities for each pixel are computed. The pixel is allocated to the class having maximum class membership probability to produce a classification. We apply the ICAMM algorithm for unsupervised classification of images obtained from both multispectral and hyperspectral sensors. Four feature extraction techniques are considered as a preprocessing step to reduce the dimensionality of the hyperspectral data. The results demonstrate that the ICAMM algorithm significantly outperforms the conventional K‐means algorithm for land cover classification produced from both multi‐ and hyperspectral remote sensing images.
Pneumolysin mediates heterotypic aggregation of neutrophils and 1 platelets in vitro 2 3

47 48 Objectives. Platelets orchestrate the inflammatory activities of neutrophils, possibly 49 contributing to pulmonary and myocardial damage during severe pneumococcal 50 infection. This study tested the hypothesis that the pneumococcal toxin, pneumolysin 51 (Ply), activates production of platelet-activating factor (PAF) and thromboxane A2 52 (TxA2) by neutrophils, these bioactive lipids being potential mediators of 53 neutrophil:platelet (NP) networking. 54 Methods. The effects of recombinant Ply (10–80 ng.mL) on the production of PAF 55 and TxA2 by isolated neutrophils were measured using ELISA procedures, and NP 56 aggregation by flow cytometry. 57 Results. Exposure of neutrophils to Ply induced production of PAF and, to a lesser 58 extent, TxA2, achieving statistical significance at ≥20 ng.mL -1 of the toxin. In the case 59 of NP interactions, Ply promoted heterotypic aggregation which was dependent on 60 upregulation of P-selectin (CD62P) and activation of protease-activated receptor 1 61 (PAR1), attaining statistical significance at ≥10 ng.mL of the toxin, but did not 62 involve either PAF or TxA2. 63 Conclusion. Ply induces synthesis of PAF and TxA2, by human neutrophils, neither of 64 which appears to contribute to the formation of NP heterotypic aggregates in vitro, a 65 process which is seemingly dependent on CD62P and PAR1. These pro66 inflammatory activities of Ply may contribute to the pathogenesis of pulmonary and 67 myocardial injury during severe pneumococcal infection. 68 69
Morphological Image Analysis: Principles and Applications

From the Publisher: The purpose of this book is to provide readers with an in-depth presentation of the principles and applications of morphological image analysis. This is achieved through a step by step process starting from the basic morphological operators and extending to the most recent advances which have proven their practical usefulness. This self-contained volume will be valuable to all engineers, scientists, and practitioners interested in the analysis and processing of digital images.
University of Birmingham Numerical investigation of bubble dynamics at a corner

• Users may freely distribute the URL that is used to identify this publication. • Users may download and/or print one copy of the publication from the University of Birmingham research portal for the purpose of private study or non-commercial research. • User may use extracts from the document in line with the concept of ‘fair dealing’ under the Copyright, Designs and Patents Act 1988 (? ) • Users may not further distribute the material nor use it for the purposes of commercial gain.
Mediterranean deep-sea ecosystems: Biodiversity, functioning and vulnerability

Memoria de tesis doctoral presentada por Samuele Tecchio para optar al grado de Doctor en Biodiversidad por la Universitat de Barcelona (UB), realizada bajo la direccion del Dr. Francisco Sarda Amills y de la Dra. Eva Zoe Ramirez Llodra del Institut de Ciencies del Mar (ICM-CSIC). -- 138 pages
A Novel Nomogram for Predicting Cancer-speci�c Survival in Women With Uterine Sarcoma: a Large Population-based Study

Background: To perform a comprehensive nomogram to predict the cancer-speci�c survival (CSS) for uterine sarcoma (US) based on the Surveillance, Epidemiology, and End Results (SEER) database. Methods: A total of 3861 patients with US between 2010 and 2015 were identi�ed in this study. They were randomly divided into a training cohort (n = 2702) and a validation cohort (n = 1159) in a 7-to-3 ratio by R software. We performed multivariate Cox analysis to select predictive variables and identify independent prognostic factors. Then, the discrimination and calibration of the nomogram were evaluated by concordance index (C-index) and the area under the curve (AUC). Finally, the net reclassi�cation improvement (NRI), the integrated discrimination improvement (IDI), calibration plotting, and decision-curve analysis (DCA) were used to evaluate the bene�ts of the new prediction model. Results: We have established a nomogram to predict 1-, 3-, and 5-year CSS for US patients. In this nomogram, pathology grade has the highest risk on CSS in US, followed by age at diagnosis, then surgery status. Comparing to the AJCC staging system, the nomogram showed better predictive discrimination with higher C-index in both training and validation cohort (0.796 and 0.767 vs0.706 and 0.713, respectively) . Furthermore, AUC value, calibration plotting, NRI, IDI, and DCA also demonstrated better performance than the traditional system. Conclusion: Our study validated the �rst comprehensive nomogram for US which could provide more accurately and individualized survival predictions for US patients in clinical practice. 29.9% (95% CI = 7.4–55.0%), respectively. Moreover, the IDI values for the 1-, 3- and 5-year CSS rates in the training cohort were 8.64, 9.63 and 9.50%, respectively, and 3.98, 5.79 and 5.88% in the validation cohort (all p < 0.001). These results all indicated that the nomogram predicted prognosis with greater accuracy than that of the AJCC model.
Differential effects of MCP-1 and leptin on collateral flow and arteriogenesis

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in the Western

eScholarship provides open access, scholarly publishing services to the University of California and delivers a dynamic research platform to scholars worldwide. Abstract: Concerns about global climate change have substantially increased the likelihood that future policy will seek to minimize carbon dioxide emissions. As such, even today, electric utilities are making resource planning and investment decisions that consider the possible implications of these future carbon regulations. In this article, we examine the manner in which utilities assess the financial risks associated with future carbon regulations within their long-term resource plans. We base our analysis on a review of the most recent resource plans filed by fifteen electric utilities in the Western United States. Virtually all of these utilities made some effort to quantitatively evaluate the potential cost of future carbon regulations when analyzing alternate supply- and demand-side resource options for meeting customer load. Even without Federal climate regulation in the U.S., the prospect of that regulation is already having an impact on utility decision-making and resource choices. That said, the methods and assumptions used by utilities to analyze carbon regulatory risk, and the impact of that analysis on their choice of a particular resource strategy, vary considerably, revealing a number of opportunities for analytic improvement. Though our review focuses on a subset of U.S. electric utilities, this work holds implications for all electric utilities and energy policymakers who are seeking to minimize the compliance costs associated with future carbon regulations Abstract Concerns about global climate change have substantially increased the likelihood that future policy will seek to minimize carbon dioxide emissions. As such, even today, electric utilities are making resource planning and investment decisions that consider the possible implications of these future carbon regulations. In this article, we examine the manner in which utilities assess the financial risks associated with future carbon regulations within their long-term resource plans. We base our analysis on a review of the most recent resource plans filed by fifteen electric utilities in the Western United States. Virtually all of these utilities made some effort to quantitatively evaluate the potential cost of future carbon regulations when analyzing alternate supply- and demand-side resource options for meeting customer load. Even without Federal climate regulation in the U.S., the prospect of that regulation is already having an impact on utility decision-making and resource choices. That said, the methods and assumptions used by utilities to analyze carbon regulatory risk, and the impact of that analysis on their choice of a particular resource strategy, vary considerably, revealing a number of opportunities for analytic improvement. Though our review focuses on a subset of U.S. electric utilities, this work holds implications for all electric utilities and energy policymakers who are seeking to minimize the compliance costs associated with future carbon regulations.