Miracle-dz/UniFAR-FTUs huggingface dataset:
The impact of gate-oxide breakdown on SRAM stability

We have investigated the effects of oxide soft breakdown (SBD) on the stability of CMOS 6T SRAM cells. Gate-to-diffusion leakage currents of 20-50 /spl mu/A at the n-FET source can result in a 50% reduction of noise margin. Breakdown at other locations in the cell may be less deleterious depending on n-FET width. This approach gives targets for tolerable values of leakage caused by gate-oxide breakdown.
Deconstructing signal transduction pathways that regulate the actin cytoskeleton in dendritic spines

Dendritic spines are the sites of most excitatory synapses in the central nervous system. Recent studies have shown that spines function independently of each other, and they are currently the smallest known processing units in the brain. Spines exist in an array of morphologies, and spine structure helps dictate synaptic function. Dendritic spines are rich in actin, and actin rearrangements are critical regulators of spine morphology and density. In this review, we discuss the importance of actin in regulating dendritic spine morphogenesis, and discuss the upstream signal transduction pathways that either foster or inhibit actin polymerization. The understanding of actin regulatory pathways is best conceptualized as a hierarchical network in which molecules function in discrete levels defined by their molecular distance to actin. To this end, we focus on several classes of molecules, including guanine nucleotide exchange factors, small GTPases, small GTPase effectors, and actin binding proteins. We discuss how individual proteins in these molecular classes impact spine morphogenesis, and reveal the biochemical interactions in these networks that are responsible for shaping actin polymerization. Finally, we discuss the importance of these actin regulatory pathways in neuropsychiatric disorders. © 2012 Wiley Periodicals, Inc.
Psychological Contract Breach and Organizational Cynicism Relationship

Researches for organizational development and change are becoming increasingly important in today's world. Organizations want to get to know their employees beter to increase the efficiency and efficiency of employees. For this reason, intensive researches are being done about organizational – employee relations and various characteristics of employees today. Determining the attitude sand behaviors of employees' organizations, and investigating the causes of these behaviors have become an important issue. One of them is psychological contract violations. Rousseau (1995), who has a lot of work on the concept of psychological contract, states that both the employee and the employer's beliefs about the non-written conditions and expectations between the employee and the employer are psychological contracts. Contracts are words that guide the individual's future behavior and are essential for business relationships. In the absence of such contracts between the parties or the individual, neither party will be willing to contribute to the other and naturally will not be involved.
An assessment of clinical guidelines for the management of acute pancreatitis.

BACKGROUND Recent guidelines have been issued for the management of acute pancreatitis. The aim of this study was to audit the management of acute pancreatitis in one district general hospital, to determine the problems and benefits associated with the implementation of such guidelines. METHODS Data were collected over the period 1991-1995 for all patients diagnosed as having acute pancreatitis who were admitted to one district general hospital. Data regarding severity grading, determination of aetiology and treatment of mild and severe pancreatitis were analysed in conjunction with the recommendations issued by the British Society of Gastroenterology Working Party on the management of acute pancreatitis in 1995. RESULTS A total of 210 patients were admitted on 263 occasions; 16% of cases were severe but severity prediction was inaccurate. 56.1% had gallstone pancreatitis and 20.9% had idiopathic pancreatitis. Definitive treatment of gallstones was within the recommended time limit in only 70.1%. 27 patients experienced recurrent attacks of pancreatitis before definitive treatment of their gallstones, due either to inadequate investigation for gallstones after suboptimal ultrasound examination (n = 12) or to inappropriate delay before definitive treatment of gallstones (n = 15). Recommendations for the management of severe cases with early ITU/HDU admissions and CT scanning were not followed. 28 day mortality was 6.3%, median age of those dying was 80.5 years. CONCLUSIONS Acceptable mortality can be achieved for acute pancreatitis despite failure to implement BSG guidelines for the management of severe acute pancreatitis. Inadequate investigation and treatment of gallstone disease leads to an unacceptable incidence of recurrent acute pancreatitis.
A Business Rules Management System for Fixed Assets

The goal of this paper is to discuss the necessity of separating decision rules from domain model implementation. (1) Background: can rules help to discover hidden connections between data? We propose a separated implementation of decision rules on data about fixed assets for decision support. This will enhance search results. (2) Methods and technical workflow: We used DROOLS (Decision Rules Object Oriented System) to implement decision rules on the subject of accounting decisions on fixed assets; (3) Results: Making the model involves: the existence of a domain ontology and an ontology for the developed application; the possibility of executing specified inferences; the possibility of extracting information from a database; the possibility of simulations, predictions; the possibility of addressing fuzzy questions; and (4) Conclusions: The rules, the plans, and the business models must be implemented to allow specification of control over concepts. The editing of meta models must be directed to the user to ensure adaptation and not implemented at the level of control of the data control.
6136: Erosion-Corrosion Study of Oilfield Materials Due to Liquid Impact

The goal of this work is to determine erosion-corrosion damage caused by liquid impacts in the oil and gas industry. The American Petroleum Institute Recommended Practice 14E (API RP 14E) guide describes a method for calculating an erosional velocity for clean service. Some authors believe that the basis for API RP 14E is erosion due to liquid droplet impacts. The API correlation is very simple and as noted in the literature does not contain many factors contributing to erosion-corrosion. A series of experimental data was collected for specimens from oilfield materials impacting liquid jets in a test configuration that conforms to American Society for Testing and Materials (ASTM) standard G73-10. Specimens were mounted on a rotating disk and impact the liquid jet periodically. The tests were conducted with two solutions, aerated 3% NaCl brine and tap water at two impact velocities, 52 and 26 m/s. It was observed that the weight loss of low chromium alloys was higher than the weight loss of corrosion resistant alloys especially when brine was used as the erodent solution. The weight loss is then converted to Erosion-Corrosion Ratio which is defined as the ratio of volumetric loss of the specimen to the total volume of the fluid that is impinged. A correlation has been proposed based on the erosion correlation from ASTM G73-10 to calculate the erosion ratio of the materials for different configurations and verified with experimental data from literature. The calculated threshold velocity using the data and method developed in this study are compared for several different flow conditions with the API RP 14E. It is shown that the trend of the erosional velocity calculated by the API guideline does not correlate with erosion-corrosion caused by liquid impact.
Panoramic Mesh Model Generation for Indoor Environment Modeling ∗

In this paper, we propose a panoramic mesh model generation method. There are complex problems in modeling multi-view range data, such as registration and triangulation of 3D point cloud. The proposed method generates a mesh model of indoor environment from an unorganized 3D point cloud. First, we divide input point cloud into several non-overlapping areas. Then, we project each area to a virtual camera and triangulate it on virtual 2D image plane. We back-project each 2D mesh to 3D space. Finally, we generate panoramic mesh model of the environment by merging adjacent mesh models. Since 3D point cloud is triangulated on 2D plane, we avoid complex 3D triangulation. The proposed method is useful in modeling large area such as indoor environment where range sensors are not suitable for data acquisition.
THE ROLE OF VIDEO-BASED EXPERIENCES IN THE TEACHER EDUCATION OF PRE-SERVICE MATHEMATICS TEACHERS

This paper will report on the role of video-based experiences and reflection among pre-service secondary school mathematics teachers as the drive towards a more constructivist approach to teaching and learning mathematics strengthens in Ireland through the introduction of a new initiative called ‘Project Maths’. This study uses the critical analysis and reflection of video recordings to examine pre-service mathematics teachers’ subject content knowledge. 29 pre-service teachers were video-taped teaching a mathematics class to mature students at the University of Limerick (UL) from January to May 2010. Rowland’s (2008) Knowledge Quartet was the framework used for reflection of this teaching. The findings are discussed and implications for mathematics teacher education are highlighted.
Design and Optimization of Scientific Applications for Highly Heterogeneous and Hierarchical HPC Platforms Using Functional Computation Performance Models

HPC platforms are getting increasingly heterogeneous and hierarchical. The main source of heterogeneity in many individual computing nodes is due to the utilization of specialized accelerators such as GPUs alongside general purpose CPUs. Heterogeneous many-core processors will be another source of intra-node heterogeneity in the near future. As modern HPC clusters become more heterogeneous, due to increasing number of different processing devices, hierarchical approach needs to be taken with respect to memory and communication interconnects to reduce complexity. During recent years, many scientific codes have been ported to multicore and GPU architectures. To achieve optimum performance of these applications on CPU/GPU hybrid platforms software heterogeneity needs to be accounted for. Therefore, design and implementation of data parallel scientific applications for such highly heterogeneous and hierarchical platforms represent a significant scientific and engineering challenge. This chapter will present the state of the art in the solution of this problem based on the functional performance models of computing devices and nodes.
Transforming NMR data despite missing points.

Some NMR experiments produce data with several of the initial points missing. The inverse discrete Fourier transform (IDFT) assumes these points are present so the data cannot be so transformed without artifact-ridden results. This problem is often particularly severe when projection imaging with free-induction decays (FIDs). This paper compares recent methods for obtaining a projection from incomplete data and elaborates on their strengths and limitations. One method is to write the transform that would take the desired projection to the truncated data set, and then solve the matrix equation by singular value decomposition. A second replaces the missing data with zeros, so that an IDFT produces a projection with unwanted artifacts. Then one solves the matrix equation that takes the desired projection to the artifact-ridden projection. A third uses the same artifact-ridden projection, but fits the region outside the bandwidth of the sample with as many sinusoidal functions as there are missing data. The coefficients of these functions are estimates of the missing data, and the projection is obtained by transforming the completed FID or subtracting the extrapolation of the fitted curve from the region containing the object. We show that when all three methods are applicable, they theoretically produce the same result. They differ by ease of implementation and possibly by computational errors. They give a result similar to that of the previous method that iteratively corrects the FID and projection after repeated IDFTs and DFTs. We find that one can obtain a projection despite missing a substantial number of data.
Diagnogsis of Diabete mellitus Using Deep Neural Network

The basis for the determination of diabetes mellitus is the classification studies that constitute the infrastructure of clinical decision support systems. The main purpose of classification studies is to increase the classification performance and increase the diagnostic rate. Different classification methods and different optimization algorithms are used for this. In this context, in this study, a classification study with Autoencoder deep neural networks was performed for the diagnosis of diabetes mellitus. The Pima Indian diabetes dataset in the UCI machine learning laboratory, which is widely used in the classification study, was used. The results of the study were compared with the results of previous which focuses on the diagnosis of diabetes studies using the same UCI machine learning dataset. The obtained classification accuracy is 97.3% and higher than the previously mentioned classification methods. The obtained evaluations show that the proposed method is very efficient and increases the classification success.
EFFECT OF Na 2 O ON THE CRYSTALLIZATION CHARACTERISTICS AND MICROSTRUCTURE OF GLASS-CERAMICS BASED ON THE CaO – MgO – P 2 O 5 – CaF 2 – SiO 2 SYSTEM

The crystallization characteristics of glasses based on the CaO–MgO–P2O5–CaF2–SiO2 system containing Na2O were investigated by means of DTA, XRD, and SEM. The effect of adding 1.5, 3.0, 4.5 and 6.0 mol. % of Na2O at the expense of MgO on the crystallization characteristics of the glasses, the type of crystalline phases formed and the resulting microstructure were investigated. The main crystalline phases formed after controlled heat-treatment of the base glass were diopside, wollastonite solid solution and fluoroapatite. The addition of Na2O at the expense of MgO led to the formation of sodium calcium silicate phase which increased with addition of Na2O. The Vicker’s microhardness values (5837-3362 MPa) of the resulting glass-ceramics were decreased by increasing Na2O-content in the glasses. The obtained data were correlated to the nature and concentration of the crystalline phases formed and the resulting microstructure.
Disarray Based Signcryption Scheme

Signcryption is a cryptographic primitive which simultaneously provides both confidentiality and authenticity in a single logical step. In a proxy signature scheme, an original signer delegates his signing power to a proxy agent, who signs a message on behalf of him. This paper introduces a new proxy signcryption scheme based on the Discrete Logarithm Problem (DLP) with a reduced computational complexity compared to other schemes in literature. In this proposed scheme, the receiver is the only one who can verify the origin of the ciphertext. Moreover, in this scheme, an authorized proxy signcrypter can create valid proxy signatures after verifying the identity of the original signcrypter. The proposed scheme achieves the various desirable security requirements. An elliptic curve based version of the proposed proxy signcryption scheme has been implemented using Mathematica for realistic (256-bit) parameters to emphasize the ease of its practical use.
Developing an Operational Automated Real Time Tunnel Monitoring System

In cities with tunnel networks and adjacent construction works, the tunnels require real time monitoring and immediate alert systems when their movements exceed their allowable limits. Automated system provides reliable and consistent data. However the measured data are stored locally on site and can be retrieved only at weekly intervals during the night when the trains are not operating. This valuable data is useful as engineers use them to monitor the tunnel movements in almost real time during the critical phase of the project. New innovative technologies of smart Remote Terminal Units, Wire-less communications and Mobile phone SMS alerts are introduced to fully automate the system to send the measured data to the right person and alert the responsible person for any corrective actions to be undertaken. The paper will discuss the integrated multi-discipline system approach and the challenges in implementing an outdoor fully automated real time tunnel monitoring system used in Singapore by exploiting Information Technology and Wireless communication systems.
Permeability Enhancement of Carvediolol Using Non-Ionic Surfactant and Different Polymers through Transdermal Film

Study of film properties of available hydrophilic polymer such as hydroxy propyl methyl cellulose E5 and polyvinyl alcohol in combination with polyvinyl pyrrolidone was undertaken. The effect of plasticizers i.e., polyethylene glycol 600 and triethyl citrate on formulation characteristics was also studied. The formulated films were characterized as physical evaluation i.e. weight variation, thickness uniformity, tensile strength, hardness, folding endurance, surface pH, Swallability, and water vapor transmission. Triethyl citrate as plasticizer showed good physical properties at 40% w/w of polymer concentration as compared to polyethylene glycol at same concentration. The hydrophobic surfactant enhanced the permeability of model drug carvediolol through skin. This was because of changes barrier properties of the skin and partition coefficient between vehicle and drug. In vitro drug permeation studies were carried out on guinea pig skin as animal model and result showed that both of the enhancers permeate drug release from polymer matrix. The combination of different hydrophobic vocalizing polymers also retards the permeation rate during in-vivo permeation study. These results indicated that, the nature of enhancers highly influences cutaneous barrier impairment. Skin irritation studies were carried out in guinea pig and did not show any signs of irritation, edema or erythema after a week.
Investigation on the Impact and Spread of Mesquite in Tokar _ Delta Using ( GIS ) Technique

Mesquite ( Prosopis ) had been imported from its original home in North and South America, which is ranked as a desert plants, that bear all environmental conditions, it had been planted in the Tokar Delta, which is located in the Red Sea State in Sudan, as a belt against desert encroachment from which the city is suffering annually, but after few years These trees deployed in the Delta and became a new risk to the agricultural lands and the banks of Khor Baraka producing another problem. Now mesquite covers more than half of the delta's area causing negative impact on all of the agricultural lands, surface, ground water and irrigation channels. This paper is intended to assess the impact of the mesquite on the Tokar Delta and the impact of efforts to control the spread of mesquite trees over 30 years. Also to provide guidelines for the management and control of mesquite trees, using the capabilities of remote sensing and geographic information systems in producing layers of maps and attributes, showing the spatial extent of these trees in the Delta over the study periods of time, and conduct analysis to support decision makers to solve this serious problem.
Assessment nonalcoholic fatty liver disease fibrosis score for staging and predicting outcome

Nonalcoholic fatty liver disease (NAFLD) is emerging as one of the leading disorders of liver worldwide. NAFLD fibrosis score (NFS) is a noninvasive simple test for staging fibrosis in patients with NAFLD, with an acceptable diagnostic performance and extensively validated in various populations. In clinical practice, the suboptimal diagnostic accuracy however makes it clinically valuable only in excluding severe fibrosis, or in a combination with other complimentary approaches. Nevertheless, the NFS could be used as a helpful tool to monitor disease progression and to evaluate efficacy of potential therapies for NAFLD adults. This review describes the implementation of NFS in fibrosis staging and outcome predicting. The outcome prediction of NAFLD traditionally depends on baseline histology of biopsy specimen, and advanced fibrosis is best associated with overall and liver-related mortality among the individual pathologic features. Accordingly, NFS exhibits an intriguing ability for outcome prediction, including the long term mortality, hepatic and extra hepatic complications and whether liver related or not. Its merit in predication for long-term outcomes could derive substantially from its ability in fibrosis evaluation, as a moderately prognostic accuracy was replicated by FIB-4, another good noninvasive simple test for identifying liver fibrosis, in our study and others. In addition, this ability could be explained by the incorporated variables. In more detail, lower level of albumin, older age and the concomitant injury of glucometabolism, all suggest an overall poorer outcome in complications whether liver related or not for NAFLD patients. Here we propose to calculate NFS in newly diagnosed patients with NAFLD and recalculate annually to timely monitor disease progression. Nonetheless, the appropriate cutoff values of the NFS for different purposes remain to be determined.
A new transformer-coupled differential Armstrong VCO for very low power operation

We present a novel differential Armstrong VCO. The proposed Armstrong VCO adopted a new transformer structure which effectively enhanced the output voltage swing of the VCO. The Armstrong VCO was implemented in 0.13 μm RF CMOS process, and measurement showed the oscillation frequency range from 13 to 14.5 GHz (tuning range of 10.9%). The new Armstrong VCO achieved a measured phase noise performance of −104.6 dBc/Hz at 1 MHz offset from 13.66 GHz carrier. The figure-of-merit (FOM) shows excellent performance and the results demonstrate a potential of the novel Armstrong VCO structure for achieving a good phase noise performance.
Protein Structure Determination and Prediction : A Review of Techniques

Protein structure determination and prediction are important techniques in understanding the protein function. Although determination is laborious, expensive and cumbersome at times, computational techniques have been used to ease the structure prediction. Predicting the 3-D structure of a protein from its primary structure is possible with computational techniques, however there is no single computational method which can predict all the protein structures. This article explores the protein structure determination and prediction techniques that are available to explore the best method to be chosen for a given situation. Special mention is made on Critical Assessment of Structure Prediction (CASP) as well. The article concludes that computational methods have to be further explored for a single method to predict all the protein structures. The Protein structure prediction has been and will continue to be in the frontiers of