Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Split and its Effect on Optimizing the Database Access Time in Mobile Networks

In this paper, we present a method that reduces access time to subscriber database in mobile networks. At first, we assume a model to study the mathematical analysis about database and then we will show that this method can optimize the access time to database. So, we analyze related concepts and present an analytical model to formulate service time for a database. Also, we have studied and analyzed the effect of environment on the access time to database which is reviewed here. The environment is mobile network and the database is a mobile system database. Mobile network has some of special parameters which define both the rate and type of queries to database. We have analyzed environment parameters and formulated the access time to database based on them. Our method is data split. Compared to flatly storing of data, this method is influenced by the new environment parameters. These parameters include rate of access to split parts, split ratio of data and etc. We formulated our method and showed reduction of access time. Furthermore, we present some diagrams which are showing the access time versus split ratio. These diagrams also are showing conditions and limitations which split ratio optimizes access time. Finally, we have simulated our idea and observed that simulation results confirm theoretical results.
SRP-plugin: a strategic release planning plug-in for visual studio 2010

Strategic release planning (SRP) is a critical step in iterative software development. SRP involves the assignment of features or requirements to releases while considering hard and soft constraints, such as time, effort, quality or resources. ReleasePlanner™ is a web-based decision support tool that is based on a sound and rigorous formal strategic release planning model. In this paper we describe the integration of ReleasePlanner™ with Visual Studio in the form of a Visual Studio plug-in called SRPPlugin. The SRP-Plugin is used to demonstrate our hypothesis that tools implemented as plug-ins for widely used development platform (such as Visual Studio) help to increase efficiency of the development process. The plug-in augments the rich Visual Studio environment with advanced release planning capabilities which result in better release planning quality, increased productivity and enhanced communication among project stakeholders. The added value of providing systematic release planning as part of a development is not limited to release planning alone. We have outlined the future work to extend SRPPlugin to include proactive decision making features such as utilization of sensitivity analysis and machine learning techniques to provide recommendations for the project manager during the challenging task of deciding which sets of features should be offered to whom, when, and why.
Analog circuit optimization via a modified Imperialist Competitive Algorithm

This paper proposes a novel evolutionary approach based on a modified Imperialist Competitive Algorithm for analog circuit design optimization. The original Imperialist Competitive Algorithm shows a low search ability in high-dimensional search spaces which is the case in optimization of analog circuits. The proposed tool addresses this problem by introducing a society-based algorithm with novel “selection” and “movement” operators. The tool is also equipped with a “mutation” operator increasing the search ability. A multi-dimensional analog design problem along with a mathematical benchmark are used to demonstrate its capability. Moreover, a thorough comparison between the original Imperialist Competitive Algorithm, the proposed algorithm and genetic algorithm as a reference is carried out. It will be revealed that the proposed algorithm is capable of exploring the cost space more efficiently resulting in better trade-offs between design objectives to reach better cost values. Additionally, the proposed algorithm is faster than the other under-test algorithms which is a key feature in simulation-based optimization procedures.
Situation-Awareness and Sensor Stream Mining for Sustainable Human Life

Criminal activities cause a huge amount of loss both financially and in terms of human lives. Because of these acts, business and social sectors are struggling. This paper illustrates the development of an online sensor stream mining system that is able to analyze the situational behavior of all of the persons in specific areas and in turn propose real-time alert systems to take countermeasures. This system gathers different information from heterogeneous sensors, fuse that information, and generate real-time alerts to minimize the likelihood of disaster. These alerts and alarms assist security personnel in making appropriate decisions in real-time scenarios. The novelty of this approach comprises context-awareness with online diagnoses to take countermeasures in real-time to reduce the loss of lives, and damage to societies and economies. This technique makes the sensor stream mining process more dependable and increases the reliability of the overall system. To fulfill the objectives of this research, we incorporate lightweight online mining algorithms to extract useful but hidden information from the data gathered. Contextual information such as a person’s pattern of movement, current location, personal profile, and area of residence are exploited to detect anomalous behaviors. The major goal of this research is to detect those persons performing malicious activities and in turn minimize society’s exposure to risks and vulnerabilities.
High-resolution local gravity model of the south pole of the Moon from GRAIL extended mission data

We estimated a high‐resolution local gravity field model over the south pole of the Moon using data from the Gravity Recovery and Interior Laboratory's extended mission. Our solution consists of adjustments with respect to a global model expressed in spherical harmonics. The adjustments are expressed as gridded gravity anomalies with a resolution of 1/6° by 1/6° (equivalent to that of a degree and order 1080 model in spherical harmonics), covering a cap over the south pole with a radius of 40°. The gravity anomalies have been estimated from a short‐arc analysis using only Ka‐band range‐rate (KBRR) data over the area of interest. We apply a neighbor‐smoothing constraint to our solution. Our local model removes striping present in the global model; it reduces the misfit to the KBRR data and improves correlations with topography to higher degrees than current global models.
Epigenetics and Cell Death: DNA Hypermethylation in Programmed Retinal Cell Death

Background Vertebrate genomes undergo epigenetic reprogramming during development and disease. Emerging evidence suggests that DNA methylation plays a key role in cell fate determination in the retina. Despite extensive studies of the programmed cell death that occurs during retinal development and degeneration, little is known about how DNA methylation might regulate neuronal cell death in the retina. Methods The developing chicken retina and the rd1 and rhodopsin-GFP mouse models of retinal degeneration were used to investigate programmed cell death during retinal development and degeneration. Changes in DNA methylation were determined by immunohistochemistry using antibodies against 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC). Results Punctate patterns of hypermethylation paralleled patterns of caspase3-dependent apoptotic cell death previously reported to occur during development in the chicken retina. Degenerating rd1 mouse retinas, at time points corresponding to the peak of rod cell death, showed elevated signals for 5mC and 5hmC in photoreceptors throughout the retina, with the most intense staining observed in the peripheral retina. Hypermethylation of photoreceptors in rd1 mice was associated with TUNEL and PAR staining and appeared to be cCaspase3-independent. After peak rod degeneration, during the period of cone death, occasional hypermethylation was observed in the outer nuclear layer. Conclusion The finding that cell-specific increases of 5mC and 5hmC immunostaining are associated with the death of retinal neurons during both development and degeneration suggests that changes in DNA methylation may play a role in modulating gene expression during the process of retinal degeneration. During retinal development, hypermethylation of retinal neurons associates with classical caspase-dependent apoptosis as well as caspase-3 independent cell death, while hypermethylation in the rd1 mouse photoreceptors is primarily associated with caspase-3 independent programmed cell death. These findings suggest a previously unrecognized role for epigenetic mechanisms in the onset and/or progression of programed cell death in the retina.
A dynamic detection method against ROP and JOP

As the proposition of the idea of Return-Oriented Programming (ROP), programs will face new challenges from viruses, and many of current defense measures will be ineffective. With fine granularity, covert virus features, deliberate and sophisticated construction and rare static characteristics, ROP attack can circumvent many traditional defense measures and its variant Jump-Oriented Programming (JOP) attack makes lots of current special ROP defense tools lose their effects. Under this circumstance, it's imperative to discover the dynamic features of ROP exploits. At this time, bringing in the technology of Dynamic Binary Instrumentation (DBI) provides powerful support for dynamic analysis of ROP attack. In this paper, we will introduce a defense measure to ROP attack. By identifying malicious program execution flow and restricting the function call specification of general program libraries, we will prevent the turning-complete features of ROP attack. Our detection method can restrain malicious use of shared libraries by ROP and defend a large part of ROP attacks.
Large-Eddy / Reynolds-Averaged Navier-Stokes Simulations of Scramjet Combustor Flow Fields

This paper describes the development of a hybrid large-eddy simulation / Reynolds-averaged Navier-Stokes (LES/RANS) turbulence modeling framework and its application to various supersonic combustion problems. The model utilizes a flow-dependent blending function, dependent on instantaneous and ensemble-averaged turbulent quantities, to shift the closure from a RANS description very near solid surfaces to an LES subgrid model in the outer parts of attached turbulent boundary layers and in free-shear and mixing regions. Other elements of the simulation framework include low-dissipation advection schemes suitable for resolving turbulence near the grid scale, various strategies for initiating and sustaining resolved turbulent fluctuations, and simple techniques that model the effects of un-resolved fluctuations on species production rates. Test cases include the Burrows-Kurkov reacting wall jet experiment, a DLR experiment involving supersonic combustion behind a wedge- shaped flame-holder, and an experiment performed in the University of Virginia's Scramjet Combustion Facility.
Learning Factor Models of Students at Risk of Failing in the Early Stage of Tertiary Education

This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year of study. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrolment data maintained by college administration, and an online, self-reporting, learner profiling tool administered during first-year student induction. Factors considered included prior academic performance, personality, motivation, self-regulation, learning approaches, age and gender. Models were trained on data from the 2010 and 2011 student cohort, and tested on data from the 2012 student cohort. A comparison of eight classification algorithms found k -NN achieved best model accuracy (72%), but results from other models were similar, including ensembles (71%), support vector machine (70%) and a decision tree (70%). Models of subgroups by age and discipline achieved higher accuracies, but were affected by sample size; n<900 underrepresented patterns in the dataset. Results showed that factors most predictive of academic performance in first year of study at tertiary education included age, prior academic performance and self-efficacy. This study indicated that early modelling of first year students yielded informative, generalisable models that identified students at risk of failing.
Epidural Stimulation Induced Modulation of Spinal Locomotor Networks in Adult Spinal Rats

The importance of the in vivo dynamic nature of the circuitries within the spinal cord that generate locomotion is becoming increasingly evident. We examined the characteristics of hindlimb EMG activity evoked in response to epidural stimulation at the S1 spinal cord segment in complete midthoracic spinal cord-transected rats at different stages of postlesion recovery. A progressive and phase-dependent modulation of monosynaptic (middle) and long-latency (late) stimulation-evoked EMG responses was observed throughout the step cycle. During the first 3 weeks after injury, the amplitude of the middle response was potentiated during the EMG bursts, whereas after 4 weeks, both the middle and late responses were phase-dependently modulated. The middle- and late-response magnitudes were closely linked to the amplitude and duration of the EMG bursts during locomotion facilitated by epidural stimulation. The optimum stimulation frequency that maintained consistent activity of the long-latency responses ranged from 40 to 60 Hz, whereas the short-latency responses were consistent from 5 to 130 Hz. These data demonstrate that both middle and late evoked potentials within a motor pool are strictly gated during in vivo bipedal stepping as a function of the general excitability of the motor pool and, thus, as a function of the phase of the step cycle. These data demonstrate that spinal cord epidural stimulation can facilitate locomotion in a time-dependent manner after lesion. The long-latency responses to epidural stimulation are correlated with the recovery of weight-bearing bipedal locomotion and may reflect activation of interneuronal central pattern-generating circuits.
Scandium: a key element for understanding Am stars

Context. Atomic diffusion is believed to cause the abundance anomalies observed in AmFm stars. However, the detailed process has still not been well-established. For instance, two possible scenarios for the diffusion theory are presently envisaged. They differ mainly by the depth from which the abundance anomalies emanate. The first scenario predicts that the abundances are modified in the superficial regions of the star, just below the hydrogen convection zone. The second scenario predicts that a much deeper extension of the mixing zone exists due to the convection caused by Fe accumulation in regions below the hydrogen convection zone. Aims. We calculate much more accurate radiative accelerations of Sc than previously, to better understand the observed abundance anomalies of this element. We believe that it is a key element to use as a diagnostic tool for understanding AmFm stars. Methods. The method employed to obtain these radiative accelerations is based on an interpolation from the parameters of the socalled SVP parametric method. Results. The radiative accelerations, shown here in a typical Am stellar model, are discussed in light of the observed anomalies of Ca and Sc. Our results suggest that the deeper mixing scenario is not entirely satisfactory: the mixing zone should be deeper than what is predicted by recent models to account for observed Sc underabundances. Our results seem more compatible with the scenario where the abundances anomalies are created in the superficial regions. However, only detailed evolutionary modelling with mass loss and diffusion of all important species, including Ca and Sc, with accurate radiative accelerations, will be able to give more insight into where the source of these anomalies occur in AmFm stars.
A method of optimization based human dynamic simulation for exoskeleton robot design and assessment

In this paper we formulate optimization based mathematical model of human dynamic motion prediction which can be used as an exoskeleton robot design and assessment tool. With this approach, motion is governed by human performance measures which is act as objective functions to be minimized in the formulation. As an exoskeleton robot model, external forces to the skeletal model of human body are applied. Lifting task is adopted and formulated as a numerical example. The human model has 55 degrees of freedom - 49 revolute joints and 6 global translation & rotation joints. An algorithm based on the sequential quadratic programming approach is used to solve the nonlinear optimization problem, and analytical gradients for the optimization process are calculated and provided. The results with joint torques and mechanical energy of human over the motion are recovered and analyzed under various cases. It shows that the effect of exoskeleton robot to the human body and proves the ability of this research as an exoskeleton design and assessment tool.
Simultaneous Bilateral Ophthalmic Artery Chemosurgery for Bilateral Retinoblastoma (Tandem Therapy)

Objective Report on the 7-year experience with bilateral ophthalmic artery chemosurgery (OAC-Tandem therapy) for bilateral retinoblastoma. Design Retrospective, single institution study. Subjects 120 eyes of 60 children with bilateral retinoblastoma treated since March 2008. Methods Retrospective review of all children treated at Memorial Sloan Kettering with bilateral ophthalmic artery chemosurgery (Melphalan, Carboplatin, Topotecan, Methotrexate) delivered in the same initial session to both naïve and previously treated eyes. Main Outcome Measures Ocular survival, metastatic disease, patient survival from metastases, second cancers, systemic adverse effects, need for transfusion of blood products, electroretinogram before and after treatment. Results 116 eyes were salvaged (4 eyes were enucleated: 3 because of progressive disease, 1 family choice). Kaplan Meier ocular survival was 99.2% at one year, 96.9% at 2 and 3 years and 94.9% for years 4 through 7. There were no cases of metastatic disease or metastatic deaths with a mean follow-up of 3.01 years. Two children developed second cancers (both pineoblastoma) and one of them died. Transfusion of blood products was required in 3 cases (4 transfusions), 1.9%. Two children developed fever/neutropenia requiring hospitalization (0.95%). ERGs were improved in 21.6% and unchanged after treatment in 52.5% of cases (increase or decrease of less than 25μV). Conclusions Bilateral ophthalmic artery chemosurgery is a safe and effective technique for managing bilateral retinoblastoma-even when eyes are advanced bilaterally, and if both eyes have progressed after systemic chemotherapy. Ocular survival was excellent (94.9% at 8 years), there were no cases of of metastatic disease and no deaths from metastatic disease, but children remain at risk for second cancers. In 21.6% of cases ERG function improved. Despite using chemotherapy in both eyes in the same session, systemic toxicity was low.
An At-Speed Test Technique for High-Speed High-order Adder by a 6.4-GHz 64-bit Domino Adder Example

This work presents the first case of using the pseudoexhaustive testing (PET) for high-speed high-order (>;32 -bit) adders. It is shown that all single stack-at faults are detected by a pseudoexhaustive test set of 54 K patterns, compared to 264×2 patterns in the past. Also, all transition faults are detected by a pseudoexhaustive test set of 13 M patterns, compared to 264×4 patterns in the past. In addition, with a programmable-delay clock generated from DLL, the adder latency is accurately measured. The proposed technique was validated by an example of a 6.4-GHz domino adder with 181 ps latency in a 90-nm CMOS technology. With the latency measurement, speed binning of high performance CPUs is now possible.
Effects of Managerial Ties and Appropriability Regimes on Open Innovation

In today's globalized world, firms are increasingly seen shifting from the traditional innovation model which relied on a firm's internal R&D to the more porous open innovation paradigm which utilizes resources both internal and external to a firm to come up with innovations. However success in the open innovation paradigm is contingent upon some internal and external factors of a firm. This conceptual paper first discusses how one such internal factor - managerial ties - impacts the success of open innovation. Second, this paper looks at the moderating role of an external factor - appropriability regimes - on the relationship between managerial ties and success of open innovation. We propose that building managerial ties is important for the creation of open innovation since open innovation requires exploration and exploitation of external resources. We further posit that presence of strong appropriability regimes is crucial to reap the benefits of managerial ties in the open innovation model and that in presence of weak appropriability regimes, managerial ties may not produce results as valuable. Propositions are developed, managerial implications underscored and future research directions highlighted.
Low complexity receiver for UWB weighted-transmitted reference system

Recently, a novel single user weighted-transmitted reference (WTR) system has been proposed for high data rate ultra-wideband (UWB) communications. The WTR system not only achieves a superior performance but also supports high data rates and is robust to variations of both weighting coefficient and integration interval. Furthermore, it extremely reduces the sampling rate in comparison to the existing TR systems. To benefit from these advantages at a much reduced complexity along with a much smoother spectrum, in this paper, a modified WTR (MWTR) is proposed. The performance of the proposed receiver is evaluated over realistic dense multipath fading channels at 114Mbps in the presence of inter-block interference (IBI) of all previous blocks for the first time. Closed-form representation of the proposed receiver is derived and validated by simulations, taking into account noise, inter-path/pulse interference (IPaI/IPI), inter-symbol interference (ISI), and IBI.
Testing the APT with the Maximum Sharpe Ratio of Extracted Factors

This paper develops a test of the asymptotic arbitrage pricing theory (APT) via the maximum squared Sharpe ratio of the factors extracted from individual stocks using the Connor-Korajczyk method. The test treats the beta pricing relation as approximate without predetermining the systematic factors, unlike the existing tests that take the relationship as exact and systematic factors as given. This paper also examines the magnitude of pricing errors bounded partly by the maximum squared Sharpe ratio. For most 60-month subperiods of the sample, the hypothesis that the maximum squared Sharpe ratio for monthly returns is greater than 0.25 can be rejected. Simulation indicates that the average pricing error in monthly returns is less than 0.001. These results support the asymptotic APT.