Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Process Management in CLAM

The dynamic management of processes is a fundamental task in distributed applications. In its general form it must encompass specialized models of parallel programming such as Task Farming models or Parallel Client/Server models, and must also provide for important features such as fauU tolerance and load balancing. But despite the significance of dynamic process management, there is no portable and efficient framework that defines and supports a general functionality, particularly for multithreaded distributed computing. In response to this need, we present a portable and efficient process management module in the context of the ClAM (conneetionless, lightweight, and multiway) threads-based system for distributed operations on heterogeneous networks. We present a process management module that supports a wide range of services, including process naming, dynamic process creation, pid-based message routing, process sign-off, sys~em shutdown, I/O redirecHon, and signal delivery. We describe how CLAM'S active messaging in~erface and its threads are used to build dynamic process management features in~o the library. For each service, we provide a description and an implementation. F\uther, we define and implement a formal protocol to support these services. We also present experimental data that compares the overall performance of ClAM's process management services to equivalent services in PVM, LAM-MPI, and P4, using both uniand multi-processor hosts.
Effect of thread tension on mechanical performance of stitched glass fibre-reinforced polymer laminates –experimental study

This article presents the results of interlaminar shear and flexural tests of polyester resin – glass fibre laminates made from the preforms unstitched and stitched by various thread tensions: low, medium and high. The laminates were impregnated using resin transfer moulding method. The interlaminar shear and flexural tests were conducted by loading parallel and transverse to the stitch lines. Interlaminar shear strength, flexural strength and flexural modulus were obtained. Deformation extent of the reinforcing structure of the stitched laminate increases with the increase in the thread tension and causes decrease in the flexural strength and modulus. However, the increase in the thread tension offers improvement in the interlaminar shear strength. Optimization of changes in the flexural properties and the interlaminar shear strength with the thread tension showed that an operation of stitching of the reinforcing preforms should be conducted by low or medium stitching thread tension (approximately 3–9 N).
An Empirical Study on Low-Carbon: Human Resources Performance Evaluation

Low-carbon logistics meets the requirements of a low-carbon economy and is the most effective operating model for logistic development to achieve sustainability by coping with severe energy consumption and global warming. Low-carbon logistics aims to reduce carbon intensity rather than simply reduce energy consumption and carbon emissions. Human resources are an important part of the great competition in the logistics market and significantly affect the operations of enterprises. Performance evaluations of human resources are particularly important for low-carbon logistics enterprises with scarce talents. Such evaluations in these enterprises are of great significance for their strategic development. This study constructed a human resource performance evaluation system to assess non-managerial employees’ low-carbon job capacity, job performance, and job attitude in the low-carbon logistics sector. The case study results revealed that the investigated company enjoyed initial success after having promoted low-carbon concepts and values to its non-managerial employees, and the success was demonstrated by excellent performance in its employees’ job attitude and knowledge. This study adopts the AHP method to reasonably determine an indicator system of performance evaluation and its weight to avoid certain human-caused bias. This study not only fills the gap in the related literature, but can also be applied to industrial practice.
Nonlinear static and vibration analysis of Euler-Bernoulli composite beam model reinforced by FG-SWCNT with initial geometrical imperfection using FEM

In this paper, the nonlinear static and free vibration analysis of Euler-Bernoulli composite beam model reinforced by functionally graded single-walled carbon nanotubes (FG-SWCNTs) with initial geometrical imperfection under uniformly distributed load using finite element method (FEM) is investigated. The governing equations of equilibrium are derived by the Hamilton`s principle and von Karman type nonlinear strain-displacement relationships are employed. Also the influences of various loadings, amplitude of the waviness, UD, USFG, and SFG distributions of carbon nanotube (CNT) and different boundary conditions on the dimensionless transverse displacements and nonlinear frequency ratio are presented. It is seen that with increasing load, the displacement of USFG beam under force loads is more than for the other states. Moreover it can be seen that the nonlinear to linear natural frequency ratio decreases with increasing aspect ratio (h/L) for UD, USFG and SFG beam. Also, it is shown that at the specified value of (h/L), the natural frequency ratio increases with the increasing the values amplitude of waviness while the dimensionless nonlinear to linear maximum deflection decreases. Moreover, with considering the amplitude of waviness, the stiffness of Euler-Bernoulli beam model reinforced by FG-CNT increases. It is concluded that the R parameter increases with increasing of volume fraction while the rate of this parameter decreases. Thus one can be obtained the optimum value of FG-CNT volume fraction to prevent from resonance phenomenon.
The relationship between training load indicators in young male soccer players

Intensity is the most important determinant of the practice. Therefore, the aim of this study was to determine the relationship between training load indicators in young soccer player. In the present study 16 male elite players (15-17 years) (height 168.12±7.1cm, weight 57.42± 7.92 kg, age 15.87 ± 0.8 years) in Tehran and Alborz league. They participated in the study voluntary. Participants were referred to the laboratory twice. In the first session, their height, weight and body composition were measured and finally they got familiar with devices and sports protocol. In the second session, they performed treadmill protocol for Vo2max measurement. All tests were held in time interval of 10-12 at 21±1 oc. According to preliminary studies, it was used ramp protocol on treadmill for Vo2max determination. For each participant, it was used the obtained data of resting status, one-minute average and maximum values of TRIMP, HRR, HR and Vo2max, linear regression between variables for calculation of line slope and constant. According to previous studies, the average and standard deviation of constant and slope were evaluated for each of two methods regarding the baseline (y=x) (slope to 1, constant to 0). The results showed positive significant relationship between %VO2peak with HRmax%, HRR%, RPE%, TRIMP% and RPE% with TRIMP%. Constant value mean and standard deviation values and slope for %VO2Peak with %HRmax, % HRR, % RPE , %TRIMP and RPE% with TRIMP% shows a significant difference with base line (p=0.001). Based on the findings of the research and high correlation between all variables and specially RPE among young elite football players which is in consistent with most of the findings of related studies we can use RPE scale for evaluate the intensity of the exercise during practice and match in an easy, simple and inexpensive way needless of specific laboratory equipments and complex methods.
Alkali Aggregate Reaction in Iceland New Test Methods

In this Icelandic project, four different test methods for Alkali Aggregate Reactions (AAR) have been examined. These methods are; accelerated mortar bar method (RILEM, AAR-2), mortar bar method (ASTM C227), concrete prism method (RILEM, AAR-3) and accelerated concrete prism method (RILEM, AAR-4). For each of the methods, 8 different Icelandic aggregates have been tested. In addition one of the 8 aggregates has been tested in all four methods with 9 different cementsand pozzolanas combinations. The results of this study show that the accelerated mortar bar test, RILEM AAR–2, exhibits relatively significantly higher expansion than the other test methods examined. It is proposed that results from RILEM AAR-2, for Icelandic aggregates, should only be used for assessing the reactivity of the aggregates, and not as an assessment of the effects of the additives and types of cement. The two new concrete prism tests from RILEM appear to reflect well the effects of types of aggregates, types of cements and additives of pozzolanas. The mortar bar test ASTM C227 also reflects well the effect of pozzolanas, however, it appears to exhibit less expansion for mixes with cements with low alkali content compared to the concrete prism tests. This could be due to the effect of leaching which will be more in long and thin mortar bars. Based upon the results from this project it is considered feasible to review the current Icelandic Building Regulations, both regarding the test methods prescribed and requirements of critical expansion limits. Resent results, along with continuous research, will enable the development of an Icelandic national document providing guidelines for production of durable concrete regarding AAR. Justifications are made of the need of subsequent project regarding further development of concrete prism tests along with field examination of Icelandic concrete structures. Clients: RANNIS, Ibuðalanasjoður, Steinsteypunefnd, Landsvirkjun, RARIK, Arnarfell, Bjorgun, Mest, Loftorka, Aalborg Portland a Islandi, Sementsverksmiðjan and BM Valla Project Managers signature: Keyword: Alkali Aggregate Reactions Laboratory Testing RILEM Test Methods Critical Expansion Limits Checked by: ÞHO Alkali Aggregate Reaction in Iceland – New Test Methods
Curcumin binds in silico to anti-cancer drug target enzyme MMP-3 (human stromelysin-1) with affinity comparable to two known inhibitors of the enzyme

In silico interaction of curcumin with the enzyme MMP-3 (human stromelysin-1) was studied by molecular docking using AutoDock 4.2 as the docking software application. AutoDock 4.2 software serves as a valid and acceptable docking application to study the interactions of small compounds with proteins. Interactions of curcumin with MMP-3 were compared to those of two known inhibitors of the enzyme, PBSA and MPPT. The calculated free energy of binding (ΔG binding) shows that curcumin binds with affinity comparable to or better than the two known inhibitors. Binding interactions of curcumin with active site residues of the enzyme are also predicted. Curcumin appears to bind in an extendended conformation making extensive VDW contacts in the active site of the enzyme. Hydrogen bonding and pi-pi interactions with key active site residues is also observed. Thus, curcumin can be considered as a good lead compound in the development of new inhibitors of MMP-3 which is a potential target of anticancer drugs. The results of these studies can serve as a starting point for further computational and experimental studies.
Study on Automatic Measurement of Valve Orifice Characteristic Based on Pneumatic Flow Method

Spool valve orifice flow characteristic of servo valve plays an important role in the spool valve overlap measurement and manufacturing quality analysis of servo valve. The liner segment of flow characteristic curve could be used to calculate the overlap, and the non-linear segment could be used to evaluate the manufacturing quality of servo valve. This paper analyzed the valve orifice characteristic measurement based on the pneumatic flow method in detail, developed an automatic pneumatic measurement apparatus for valve orifice characteristic and spool valve overlap based on the thermal mass flow sensor AWM2300, verified the measurement accuracy and non-repeated error of this apparatus, and adopted the overlap as investigated object to contrast the measurement results by pneumatic flow method with by pneumatic pressure method. The non-repeated error of overlap measurement by pneumatic flow method did not exceed ±0.5(m, and the experimental results indicated that the automatic pneumatic flow measurement can excellently satisfy the actual requirement in the production of servo valve.
Mathematical models of polymer-dentin physicochemical interactions and their biological effects

Dental adhesion is the result of a physicochemical interaction between tooth structure and the adhesive polymeric restorative material. Adhesion involves molecular interactions at the interface between these constituents. Furthermore, mechanical interlocking is a common type of adhesion important in dental materials. This type of bonding involves the penetration of the adhesive into the dental surface and requires different energetic considerations for an optimal interface. An adequate infiltration of adhesive monomers into demineralized dentin depends on several factors that are determined by the atoms on the surface of the structures and the effects of surface energy on the thermodynamic work of adhesion. The polarity, solubility and viscosity of the adhesive system and the surface energy and moisture of dentin tissue are key factors that contribute to adhesion energy. The main goal of dental material adhesion is to produce an interface that is strong and durable. Thus, it is important to optimize the infiltration of adhesive monomers into exposed collagen fiber networks and dentinal tubules in order to increase the strength of the Resin-dentin bonds and produce adequate dentin sealing.
Power-Aware 3D Position-based Routing Algorithms for Ad Hoc Networks

A crucial problem in ad hoc networks is finding an efficient and correct route between a source and a destination; however for many networks, a more important problem is providing an energy efficient route because of, for example, the limited battery life of the wireless nodes. Most previous routing protocols make the routing decision without taking into account the energy budget of the nodes. In addition, when using a fixed transmission power, nodes may waste power by transmitting with more power than is needed for correct reception. In position- based routing algorithms, the nodes use the geographical position of the nodes to make the routing decisions. In this paper we present several localized power-aware 3D position-based routing algorithms that increase the life-time of the network by maximizing the life time of the nodes. These new algorithms use the idea of replacing the constant transmission power of the node with an adjusted transmission power during two stages - first a lower power while discovering the neighboring nodes, and, if needed, a second higher transmission power during the routing process. We evaluate our algorithms and compare their power savings with the current power-aware routing algorithms. The simulation results show a significant improvement in the energy saving (up to 50%).
Strategic Analysis of the Environment: A DSS for Assessing Technology Environments

Assessing the external environment is an important component of organizations' survival and success. Unfortunately, a huge amount of information must be collected and processed in order to obtain a thorough and comprehensive representation of the environment. A decision support system can be very useful in helping decision makers to organize and analyze this information efficiently and effectively. This paper outlines a conceptual proposition helping to design such a system by presenting an ontology of the relevant information elements (actors, issues and needs) and a set of tools to analyze them. This paper also illustrates a prototype version of one of these tools which supports the analysis of the actors and issues perspectives.
Variant BDNF ( Val 66 Met ) polymorphism contributes to developmental and estrous-stage-specific expression of anxiety-like behavior in female mice

Background—Most anxiety and depressive disorders are twice as common in women compared to men and the sex difference in prevalence typically emerges during adolescence. Hormonal changes across the menstrual cycle and during the postpartum and peri-menopausal periods are associated with increased risk for anxiety and depression symptoms. In humans and animals, reduced brain derived neurotrophic factor (BDNF) has been associated with increased expression of affective pathology. Recently, a single nucleotide polymorphism (SNP) in the BDNF gene (BDNF Val66Met), which reduces BDNF bioavailability, has been identified in humans and associated with a variety of neuropsychiatric disorders. Although BDNF expression can be directly influenced by estrogen and progesterone, the potential impact of the BDNF Val66Met SNP on sensitivity to reproductive hormone changes remains an open question. Approach—As a predictive model, we used female mice in which the human SNP (BDNF Val66Met) was inserted into the mouse BDNF gene. Using standard behavioral paradigms, we tested the impact of this SNP on age and estrous-cycle specific expression of anxiety-like behaviors. Results—Mice homozygous for the BDNF Val66Met SNP begin to exhibit increased anxietylike behaviors over prepubertal and early adult development, show significant fluctuations in anxiety-like behaviors over the estrous cycle, and as adults differ from wild-type mice by showing significant fluctuations in anxiety-like behaviors over the estrous cycle, specifically more anxietylike behaviors during the estrus phase. © 2012 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved. Corresponding Author, Francis S. Lee, Department of Psychiatry, Weill Cornell Medical College, 1300 York Ave, New York, NY 10065, fslee@med.cornell. edu, Tel: (212) 746-3169. *equal contribution Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. The authors report no biomedical financial interests or potential conflicts of interest. NIH Public Access Author Manuscript Biol Psychiatry. Author manuscript; available in PMC 2013 September 15. Published in final edited form as: Biol Psychiatry. 2012 September 15; 72(6): 499–504. doi:10.1016/j.biopsych. 2012.03. 032. N IH PA Athor M anscript N IH PA Athor M anscript N IH PA Athor M anscript Conclusions—These findings have implications regarding the potential role of this SNP in contributing to developmental and reproductive hormone-dependent changes in affective disorders in humans.
Rigorous Numerics for Nonlinear Differential Equations Using Chebyshev Series

A computational method based on Chebyshev series to rigorously compute solutions of initial and boundary value problems of analytic nonlinear vector fields is proposed. The idea is to recast solutions as fixed points of an operator defined on a Banach space of rapidly decaying Chebyshev coefficients and to use the so-called radii polynomials to show the existence of a unique fixed point near an approximate solution. As applications, solutions of initial value problems in the Lorenz equations and symmetric connecting orbits in the Gray--Scott equation are rigorously computed. The symmetric connecting orbits are obtained by solving a boundary value problem with one of the boundary values in the stable manifold.
Ultra compact and low-power TDC and TAC architectures for highly-parallel implementation in time-resolved image sensors

We report on the design and characterization of three different architectures, namely two Time-to- Digital Converters (TDCs) and a Time-to-Amplitude Converter (TAC) with embedded analog-to-digital conversion, implemented in a 130-nm CMOS imaging technology. The proposed circuit solutions are conceived for implementation at pixel-level, in image sensors exploiting Single-Photon Avalanche Diodes as photodetectors. The fabricated 32x32 TDCs/TACs arrays have a pitch of 50μm in both directions while the average power consumption is between 28mW and 300mW depending on the architectural choice. The TAC achieves a time resolution of 160ps on a 20-ns time range with a differential and integral non-linearity (DNL, INL) of 0.7LSB and 1.9LSB, respectively. The two TDCs have a 10-bit resolution with a minimum time resolution between 50ps and 119ps and a worst-case accuracy of ±0.5 LSB DNL and 2.4 LSB INL. An overview of the performance is given together with the analysis of the pros and cons for each architecture.
Reasoning about confidentiality at requirements engineering time

Growing attention is being paid to application security at requirements engineering time. Confidentiality is a particular subclass of security concerns that requires sensitive information to never be disclosed to unauthorized agents. Disclosure refers to undesired knowledge states of such agents. In previous work we have extended our requirements specification framework with epistemic constructs for capturing what agents may or may not know about the application. Roughly, an agent knows some property if the latter is found in the agent's memory.This paper makes the semantics of such constructs further precise through a formal model of how sensitive information may appear or disappear in an agent's memory. Based on this extended framework, a catalog of specification patterns is proposed to codify families of confidentiality requirements. A proof-of-concept tool is presented for early checking of requirements models against such confidentiality patterns. In case of violation, the counterexample scenarios generated by the tool show how an unauthorized agent may acquire confidential knowledge. Counter-measures should then be devised to produce further confidentiality requirements.
INSIGHTFUL OR WISHFUL: Lawyers' Ability to Predict Case Outcomes

Lawyers’ litigation forecasts play an integral role in the justice system. In the course of litigation, lawyers constantly make strategic decisions and/or advise their clients on the basis of their perceptions and predictions of case outcomes. The study investigated the realism in predictions by a sample of attorneys (n=481) across the United States who specified a minimum goal to achieve in a case set for trial. They estimated their chances of meeting this goal by providing a confidence estimate. After the cases were resolved, case outcomes were compared with the predictions. Overall, lawyers were overconfident in their predictions, and calibration did not increase with years of legal experience. Female lawyers were slightly better calibrated than their male counterparts and showed evidence of less overconfidence. In an attempt to reduce overconfidence, some lawyers were asked to generate reasons why they might not achieve their stated goals. This manipulation did not improve calibration.