Miracle-dz/UniFAR-FTUs huggingface dataset:
VEGFâ•’induced paracellular permeability in cultured endothelial cells involves urokinase and its receptor

Vascular endothelial growth factor/vascular permeability factor (VEGF) has been implicated in blood/tissue barrier dysfunctions associated with pathological angiogenesis, but the mechanisms of VEGF-induced permeability increase are poorly understood. Here, the role of VEGF-induced extracellular proteolytic activities on the endothelial cell permeability increase is evaluated. Confluent monolayers of bovine retinal microvascular endothelial (BRE) cells grown on porous membrane were treated with VEGF or urokinase plasminogen activator (uPA), and permeability changes were analyzed. uPA-induced permeability was rapid and sustained, but VEGF-induced permeability showed a biphasic pattern: a rapid and transient phase (12 h) followed by delayed and sustained phase (624 h). The delayed, but not the early phase of VEGF-induced permeability, was blocked by anti-uPA or anti-uPAR (uPA receptor) antibodies and was accompanied by reduced transendothelial electrical resistance, indicating the paracellular route of permeability. Confocal microscopy and Western blotting showed that VEGF treatment increased free cytosolic β-catenin, which was followed by β-catenin nuclear translocation, upregulation of uPAR, and downregulation of occludin. Membrane-bound occludin was released immediately after uPA treatment, but with a long delay after VEGF treatment, suggesting a requirement for uPAR gene expression. In conclusion, VEGF induces a sustained paracellular permeability in capillary endothelial cells that is mediated by activation of the uPA/uPAR system.
Genotype × Environment Interaction and Stability Analysis for Selected Agronomic Traits in Cassava (Manihot esculenta)

Cassava (Manihot esculenta Crantz) is an important root and tuber crop worldwide. The crop is highly influenced by variations in production environments. A significant Genotype × Environment Interaction (GEI) presents challenges in the selection of superior genotypes. This study determined the magnitude of GEI and stability performances of 26 cassava genotypes for key agronomic traits across three multi-environments. The trial was laid out in a randomized complete block design during 2016/2017 cropping season. Genotype TR0288 had the highest starch content at Pendembu and Kambia, while TR1436 performed best at Njala. Genotype TR0768 had the highest fresh storage root yield at Pendembu, TR0455 at Kambia and TR0591 and TR0657 at Njala environments. For dry matter content, genotypes SLICASS4, TR0310 and TR0740 performed best at Njala, Pendembu and Njala, respectively. Genotype TR0455 had the highest fresh storage root yield across the three production environments, TR1436 for starch content and TR0310 for dry matter content. TR0310 was the most stable and favorable genotype based on mean dry matter content and stability performance across the three production environments. Harvest index was positive and significantly correlated with storage root (r = 0.54 *** ), fresh storage root yield was highly and positively correlated with number of storage root (r = 0.61 *** ) and harvest index (r =0.49 *** ). The information generated is relevant for selection initiatives targeted at superior high yielding, high dry matter content and starch content cassava genotypes combining resistance to cassava mosaic in Sierra Leone. Keywords— Genotypic performance, multi-environment trial, stability analysis, trait correlation, cassava.
Ca21 uptake and Cd21 accumulation in larval tilapia (Oreochromis mossambicus) acclimated to waterborne Cd21

Chang, Min-Hwang, Hui-Chen Lin, and Pung-Pung Hwang. Ca21 uptake and Cd21 accumulation in larval tilapia (Oreochromis mossambicus) acclimated to waterborne Cd21. Am. J. Physiol. 274 (Regulatory Integrative Comp. Physiol. 43): R1570–R1577, 1998. —The present study compares the rates of Ca21 uptake and Cd21 accumulation in tilapia (Oreochromis mossambicus) between larvae preexposed to Cd21 and naive larvae. Preexposure to Cd21 induces some form of adaptation that attenuates the effects of Cd21 later on. Exposure to Cd21 decreased the uptake of Ca21 but did not suppress the accumulation rate of Cd21. A 12-fold increase in 96-h half-maximal lethal concentration was found in tilapia larvae preexposed to 0.45 μM Cd21 from hatching for 3 days in comparison with naive 3-day-old larvae. The effects of Cd21 on Ca21 influx kinetics in larvae preexposed to 0.18 μM Cd21 for 3 days were examined. The Michaelis constant for Ca21 in the 0.18 μM Cd21 preexposed larvae did not change significantly in the presence of Cd21, whereas maximal velocity increased by ,23%. An enhanced Ca21 uptake efficiency (,18%) was found in these Cd21-acclimated larvae. The criterion that determines the survival of tilapia larvae encountering Cd21 challenge is the degree of interference with Ca21 homeostasis instead of the absolute amount of Cd21 accumulated.
High-Fidelity Simulation to Compare the Tower Operations Digital Data System to Flight Progress Strips

The current experiment used a high-fidelity, human-in-the-loop simulation to compare the Tower Operations Digital Data System (TODDS) to paper Flight Progress Strips (FPSs) during zero-visibility Airport Traffic Control Tower operations. Sixteen current controllers participated in groups of two. Each group received touchscreen and TODDS training before completing eight practice and eight test scenarios. The participants worked at both the ground and local control positions under four experimental conditions. The participants used one of four systems – the Integrated TODDS, FPSs with Airport Surface Detection Equipment – Model X, Perceptual-Spatial TODDS, or FPSs only – to control airport traffic. The participants had a Standard Terminal Automation Radar System display in all conditions, but did not have an out-the-window view. Dependent measures included the number and duration of airport operations, the number and duration of communications, TODDS usability, and participant opinion. We found advantages for surface surveillance and TODDS, and Integrated TODDS provided additional benefits.
Classification Of Association Item Sets From Large Data Sets Based On User Awareness Using Hybrid

In business intelligence, large number of data to be generated because of increasing data in business applications. Analysis and prediction of data is very aggressive concept to evaluate the results present in data based on decision making analysis. To provide effective analysis of data traditionally some of the machine learning related methods like Clustering, Classification, Neural network based approaches and association rule based approaches were used to explore and analysis of business data. Because of increasing depth analysis of data in business intelligence related applications then above static machine learning approaches were not satisfied to form association between different attributes in real time data sets. So that in this paper, we propose Advanced & Hybrid Machine Learning Approach (AHMLA) for effective data analysis of different associated attributes of high dimensional data. Our proposed approach increase customer service, report generations based on user awareness in business intelligence applications. An experimental result of proposed approach gives better high performance with respect to different parameters with respect to existing approaches
ATTACK RESISTANT MULTI LAYERED USER ACCOUNT RECOVERY TOOLKIT FOR CLOUD SERVICE PROVIDERS

-The Cloud Service Provider supports variety of services for the users. All the services are provided with User ID and password based authentication mechanism. The cloud security systems are constructed to handle the data and service level vulnerabilities. User account security is mainly focused to protect the user account recovery operations. Two security schemes are widely used to protect the account recovery tasks. They are Molecular Integration Simulation Toolkit (MIST) and Malachi schemes. The MIST security algorithm performs the user account recovery with predetermined questions and possible answer collections. The Malachi algorithm handles the account recovery with dynamic user queries and answers collected at the time of account generation. The attack resistant multi layered user account toolkit is build to secure the Cloud Service Providers. The account recovery operations are carried out with four layer analysis model. They are Question and Answer (QA) verification layer, Trustee based verification, One Time Password (OTP) based verification and Alternate account based verification methods. The QA based verification check outs the question and user reply information. The trustee based verification is carried out with the submission of the authentication code passed to the trustees. The OTP verification checks the password transferred to the user‟s mobile. Finally the recovered account details are passed to the alternate user account.
The Analysis of Constructing a Green Data Center in Iran

: The ever-increasing costs of supplying energy as a part of total costs of any project and their environmental impacts have turned into a real challenge for IT industry and data centers in particular which are considered information processing and saving centers in IT industry which consume lots of energy. The need to optimize energy consumption is felt due to relatively fixed accessible energy sources, ever-increasing need to develop new data centers and expansion of existing centers. The present study aims at applying some green techniques and solutions in the construction of a green data center to reduce energy consumption and devastating impacts on the environment. A three-phase strategy is introduced in this regard which is comprised of a) assessment, b) analysis and c) solution. The present study takes one special country, Iran, into account; however, the steps presented could be taken in the construction of a green data center in any given country.
PAPR Analysis of FFT and Wavelet FDM System Using Clipping Technique

—Orthogonal Frequency Division Multiplexing(OFDM) has been currently under intense research for wireless transmission due to its robustness against multipath fading. However, it has some limitations such as the Peak-to-average power ratio (PAPR), which restricts its use. It reduces the efficiency of the system. The aim of this paper is to analyze the performance of system over clipping technique. Wavelet based system is also suggested. Results of both systems are compared.
Enhanced 4T Loadless SRAM Comparison With Selected Volatile Memory Cells

—The adaptiveness of Field Programmable Gate Arrays is a key aspect in many mobile applications. Modern vehicles contain up to 100 ”Electronic Control Units” in order to implement all necessary functions for autonomous driving. Due to the limited power resources of mobile applications, an appropriate implementation of power reduction measures is crucial for achieving an acceptable amount of power savings. However, effective power reduction mechanisms have to be applied to the backbone of each Field Programmable Gate Array: the look-up table. In this paper, we describe the implementation and comparison of various Static Random Access Memory cells and the related characteristics which are used as a benchmark. All Static Random Access Memory cells have been analyzed in order to evaluate feasible modiﬁcations for the sake of lowering leakage currents and modiﬁed for minimizing static and dynamic power consumption. The trade-off between low-power use cases, a fast response time and area considerations as well as yield after manufacturing has to be carefully analyzed. Therefore, further aspects like signal to noise ratio and area increase due to additional, required transistors are deliberated about whether the additional efforts delivers desired results. Since speed in terms of a high operating frequency is demanded by many applications, we analyze each design upon its capabilities to run at their maximum speed.
A Thapsigargin-Sensitive Ca Pump Is Present in the Pea Golgi Apparatus Membrane

The Golgi apparatus behaves as a bona fide Ca store in animal cells and yeast (Saccharomyces cerevisiae); however, it is not known whether this organelle plays a similar role in plant cells. In this work, we investigated the presence of an active Ca accumulation mechanism in the plant cell Golgi apparatus. Toward this end, we measured Ca uptake in subcellular fractions isolated from the elongating zone of etiolated pea (Pisum sativum) epicotyls. Separation of organelles using sucrose gradients showed a strong correlation between the distribution of an ATP-dependent Ca uptake activity and the Golgi apparatus marker enzyme, xyloglucan-fucosyltransferase. The kinetic parameters obtained for this activity were: the rate of maximum Ca uptake of 2.5 nmol mg min 1 and an apparent Km for Ca 2 of 209 nm. The ATP-dependent Ca uptake was strongly inhibited by vanadate (inhibitor concentration causing 50% inhibition [I50] 126 m) and cyclopiazonic acid (I50 0.36 nmol mg protein ) and was not stimulated by calmodulin (1 m). Addition of Cd and Cu at nanomolar concentration inhibited the Ca uptake, whereas Mn , Fe , and Co had no significant effect. Interestingly, the active calcium uptake was inhibited by thapsigargin (apparent I50 88 nm), a well-known inhibitor of the endoplasmic reticulum and Golgi sarco-endoplasmic reticulum Ca ATPase from mammalian cells. A thapsigargin-sensitive Ca uptake activity was also detected in a cauliflower (Brassica oleracea) Golgi-enriched fraction, suggesting that other plants may also possess thapsigargin-sensitive Golgi Ca pumps. To our knowledge, this is the first report of a plant Ca pump activity that shows sensitivity to low concentrations of thapsigargin.
Full Title: Effect of early glycaemic control on HbA1c tracking and development of vascular complications after 5 years of childhood onset type 1 diabetes: Systematic Review and Meta-analysis Short running title: Early glycaemic control and later outcomes

Objective: A systematic review and meta-analysis was conducted to investigate if glycaemic control measured by glycated Haemoglobin (HbA1c) levels near diagnosis are predictive of future glycaemic outcomes and vascular complications in childhood onset type 1 diabetes (T1D). Methods: Evidence was gathered using electronic databases (MEDLINE, EMBASE, Web of Science, CINAHL, Scopus and Cochrane Library up to February 2017) and snowballing techniques. Studies investigating the association between the exposure “early glycaemic control” and main outcome: “tracking of early control” and secondary outcome: risk of future complications; in children and young people aged 0 to 19 years at baseline; were systematically double-reviewed, quality assessed and outcome data extracted for synthesis and meta-analysis. Findings: Five studies (N=4227 participants) were eligible. HbA1c levels were suboptimal throughout the study period but tended to stabilise in a “track” by 6 months after T1D diagnosis. The group with low HbA1c <53mmol/mol (<7%) at baseline had This article is protected by copyright. All rights reserved. lower long-term HbA1c levels than the higher HbA1c group. The estimated standardised mean difference between the sub groups showed a reduction of HbA1c levels on average by 1.6% (range -0.95 to -2.28%) from baseline. Only one study investigated the association between early glycaemic control and development of vascular complications in childhood onset T1D. Interpretations: Glycaemic control after the first few months of childhood onset T1D, remains stable but sub-optimal for a decade. The low and high HbA1c levels at baseline seem to “track” in their respective tracks during the 10-year follow-up however, the initial difference between groups narrows over time. PROSPERO:CRD42015024546 http://www.crd. york.ac. uk/PROSPERO/display_record. asp? ID=CRD42015024546
The endosomal protein sorting receptor sortilin has a role in trafficking alpha-1 antitrypsin

*Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA 15260 § Department of Pediatrics, Cell Biology and Physiology, University of Pittsburgh School of Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, 15217 **School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia NYU School of Medicine, Division of Cardiology, Marc and Ruti Bell Program in Vascular Biology, Department of Medicine, New York, NY 10016
F-Flortaucipir Tau Positron Emission Tomography Distinguishes Established Progressive Supranuclear Palsy from Controls and Parkinson Disease: A Multicenter Study

Daniel R. Schonhaut, BA, Corey T. McMillan, PhD, Salvatore Spina, MD, PhD, Bradford C. Dickerson, MD, Andrew Siderowf, MD, Michael D. Devous Sr, PhD, Richard Tsai, MD, Joseph Winer, BA, David S. Russell, MD, PhD, Irene Litvan, MD, Erik D. Roberson, MD, PhD, William W. Seeley, MD, Lea T. Grinberg, MD, PhD, Joel H. Kramer, PsyD, Bruce L. Miller, MD, Peter Pressman, MD, Ilya Nasrallah, MD, PhD, Suzanne L. Baker, PhD, Stephen N. Gomperts, MD, PhD, Keith A. Johnson, MD, Murray Grossman, MD, William J. Jagust, MD, Adam L. Boxer, MD, PhD, and Gil D. Rabinovici, MD
Dynamic Fuzzy Cognitive Maps Embedded and Classical Fuzzy Controllers Applied in Industrial Process

— This research presents the application of intelligent techniques to control an industrial mixer. The controller design is based on Hebbian learning for evolution of Fuzzy Cognitive Maps. A Fuzzy Classic Controller and Artificial Neural Network was used to validate the simulation results. Experimental simulations and analysis in this control problem was made. In addition, the results were embedded using algorithms into the Arduino platform.
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In Cross Layer Network Operations

: One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie. , Network Layer and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers reduces the energy consumption and increases the throughput of the wireless sensor networks.
Biochemical parameters as indicators of antihypertensive efficacy of leaf aqueous extract of Tridax procumbens (Linn.) in N-nitro-L-arginine methyl ester-induced hypertensive rats

Cardiovascular disease (CVD) remains the leading cause of debility and premature death [1] and hence a major public health problem. The major risk factors include diabetes, smoking, and dyslipidemia [2]. Several studies acknowledged that hypertension is the most prevalent trigger for CVDs with other risk factors [1,3]. Hypertension is responsible for around 16.5% of annual deaths worldwide [1] and is the main cause of morbidity and mortality associated with CVDs [4]. By 2030, the annual death toll is predicted to reach 23.5 million people [1]. Hypertension frequently occurs in conjunction with metabolic disturbances and in particular, it occurs with hyperlipidemia and hypercholesterolemia [5]. Several reports have related the concentrations of lipids, cholesterol, triglycerides (TG), and their associated blood transporting lipoproteins (high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol [LDL-C], and very-low-density lipoprotein cholesterol [VLDL-C]) with the incidence of arteriosclerosis and coronary artery diseases [6,7]. The primary goal of antihypertensive therapy is to decrease risk of cardiovascular morbidity and mortality through the management of high blood pressure [8].
A Survey of Agent Programming and Adaptive Serious Games

This paper provides a survey of software agents in adaptive serious games. It outlines the most important challenges of the game design such as adaptation. The study (i) overviews the state of the art of behavior programming in agent-based games (ii) provides our further reflection about the agent programming model dedicated to therapeutic serious game (iii) and finally introduces some major challenges to be addressed by the community in the medium term.
Synergetic of PALSAR-2 and Sentinel-1A SAR Polarimetry for Retrieving Aboveground Biomass in Dipterocarp Forest of Malaysia

Space borne synthetic aperture radar (SAR) data have become one of the primary sources for aboveground biomass (AGB) estimation of forests. However, studies have indicated that limitations occur when a single sensor system is employed, especially in tropical forests. Hence, there is potential for improving estimates if two or more different sensor systems are used. Studies on integrating multiple sensor systems for estimation of AGB over Malaysia’s tropical forests are scarce. This study investigated the use of PALSAR-2 L-band and Sentinel-1A C-band SAR polarizations to estimates the AGB over 5.25 million ha of the lowland, hill, and upper hill forests in Peninsular Malaysia. Polarized images, i.e., HH–HV from PALSAR-2 and VV–VH from Sentinel-1A have been utilized to produce several variables for predictions of the AGB. Simple linear and multiple linear regression analysis was performed to identify the best predictor. The study concluded that although limitations exist in the estimates, the combination of all polarizations from both PALSAR-2 and Sentiel-1A SAR data able to increase the accuracy and reduced the root means square error (RMSE) up to 14 Mg ha−1 compared to the estimation resulted from single polarization. A spatially distributed map of AGB reported the total AGB within the study area was about 1.82 trillion Mg of the year 2016.
Evaluation of the glycemic effect of Ceratonia siliqua pods (Carob) on nicotinamide-streptozotocin-induced diabetic rats model

1 Department of Pharmacy, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia 2 Department of Pharmacology and Therapeutics, School of Medicine, Faculty of Health and Medical Sciences, Taylor’s University, Kuala Lumpur, Malaysia 3 Department of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia 4 Department of Restorative Dentistry, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia 5 Department of Oral Medicine and Periodontology, Faculty of Dentistry, Ibb University, Ibb, Yemen
Enhanced Stakeholder Socialization using Common Language in Agile BPM Living business processes models instead of rigid documentations

-Business Process Management (BPM) and its supporting systems (BPMS) focus on business processes without sufficiently taking all stakeholders into account. Instead, the focus is put on the modeling and execution of business processes. Rigid business process documentations, long update cycles and insufficient understanding of business process models are the results. In this paper, we present how to use common language to simplify and further develop existing methods aiming at “living” business processes instead of rigid documentations. We enhance the innovative agile method BPM(N) Easy1.2 , which includes a supporting mobile application called BPM Touch. This combination allows the powerful usage of common language with BPM and enables stakeholders to better “socialize” with one another in the context of business processes and their management. The application of the method is illustrated with the help of a public administration sample. The paper concludes with a summary and outlook on further research.