Miracle-dz/UniFAR-FTUs huggingface dataset:
Fission of Entangled Spins: An Electronic Structure Perspective

Electronic structure aspects of singlet fission process are discussed. Correlated adiabatic wave functions of the bright singlet and dark multiexciton states of tetracene and pentacene dimers are analyzed in terms of their character (excitonic, charge-resonance, multiexciton). At short interfragment separation (3.5–4 A), both multiexcitonic and singly excited singlet states have noticeable charge-resonance contributions that fall off quickly at longer distances. Nonadiabatic couplings between the states are discussed. The limitations of diabatic framework in the context of singlet fission are explained. Based on the Cauchy–Schwarz inequality, we propose using the norm of one-particle transition density matrix, ∥γ∥, as a proxy for couplings. The analysis of ∥γ∥ and state characters reveals that the couplings between the multiexciton and singly excited states depend strongly on the weights of charge-resonance configurations in these states. To characterize energetics relevant to triplets separation step, we.
Elementary and global aspects of calcium signalling.

Calcium is a ubiquitous second messenger used to regulate a wide range of cellular processes. This role in signalling has to be conducted against the rigid homeostatic mechanisms that ensure that the resting level of Ca2+ is kept low (i.e. between 20 and 100 nmol l-1) in order to avoid the cytotoxic effects of a prolonged elevation of [Ca2+]. Cells have evolved a sophisticated signalling system based on the generation of brief pulses of Ca2+ which enables this ion to be used as a messenger, thus avoiding its toxic effects. Such Ca2+ spikes usually result from the coordinated release of Ca2+ from internal stores using either inositol 1,4,5-trisphosphate or ryanodine receptors. Using Ca2+ imaging techniques, the opening of individual channels has now been visualized and models have been proposed to explain how these elementary events are coordinated to generate the global Ca2+ signals that regulate cellular activity.
Enhanced Intrusion Detection System for Discovering Malicious Nodes in Mobile Ad Hoc Networks

As mobile wireless ad hoc networks have different characteristics from wired networks and even from standard wireless networks, there are new challenges related to security issues that need to be addressed. Many intrusion detection systems have been proposed and most of them are tightly related to routing protocols, such as Watchdog/Pathrater and Routeguard. These solutions include two parts: intrusion detection (Watchdog) and response (Pathrater and Routeguard). Watchdog resides in each node and is based on overhearing. Through overhearing, each node can detect the malicious action of its neighbors and report other nodes. However, if the node that is overhearing and reporting itself is malicious, then it can cause serious impact on network performance. In this paper, we overcome the weakness of Watchdog and introduce our intrusion detection system called ExWatchdog. The main feature of the proposed system is its ability to discover malicious nodes which can partition the network by falsely reporting other nodes as misbehaving and then proceeds to protect the network. Simulation results show that our system decrease the overhead greatly, though it does not increase the throughput obviously.
Configurable 2 bits per cycle successive approximation register for analog to digital converter on FPGA

Analog-to-Digital Converter (ADC) technology has been advancing to achieve a balance between speeds, size and cost. Successive approximation register (SAR) ADC is very popular for medium-to-high resolution as it is small but has difficulties in achieving high speed while flash ADC is big and not cost effective. Also, for different purposes, ADC have different resolution requirement. Producing ADCs with different resolution increases cost if it is not used in large scale production. In this paper, we propose to solve the issues of speed, size and cost by presenting a configurable 2 bits per cycle successive approximation register (SAR) ADC for FPGA implementation based on modification from successive approximation method. This SAR utilizes three comparators, instead of one comparator in normal SAR ADC. This enables the SAR to convert 2 bits at a time hence, reducing the conversion time by half, while at the same time, the resolution of this presented SAR is configurable. This increases the reusability of this SAR ADC for various different requirements of resolution. The design is implemented on Altera DE2 board with Cyclone II FPGA at a clock rate of 50MHz and can be boosted to 136MHz. On average, N cycles is needed for 2N bit resolution.
Design optimization of MEMS using constrained multi-objective evolutionary algorithm

MEMS layout optimization is a typical multi-objective constrained optimization problem. This paper proposes an improved MOEA called cMOEA/D to solve this problem. The cMOEA/D is based on MOEA/D but also uses the frequency of individual update of sub-problems to locate the promising sub-problems. By dynamically allocating computing resources to more promising sub-problems, we can effectively improve the performance of the algorithm to find more non-dominated solutions in MEMS layout optimization. In addition, we compared two mechanisms of constraint handling, Stochastic Ranking (SR) and Constraint-domination principle (CDP). The experimental results show that CDP works better than SR and the proposed algorithm outperforms the state-of-art algorithms such as NSGA-II and MOEA/D, in terms of convergence and diversity.
Double ended speech enabled system in Indian travel & tourism industry

In this research paper we emphasized on development of double ended voice enabled system in order to receive the voice query and convey voiced output message related to travel and tourism domain in Indian language. The voice enable system was developed using multiple components such as automatic speech recognizer (ASR) engine, query classifier and speech synthesis engine. The speech recognition engine plays very crucial role in speech based system which we have evaluated using multiple pattern recognition algorithms namely Hidden Markov Model (HMM), Support Vector Machine (SVM), ontology based feed forward back propagation neural network (OFFBPNN), dynamic time warping (DTW). The performance of SVM AND HMM were seen superior with respect to OFFBPNN, DTW which were measured in terms of word accuracy and word error rate. The output of ASR is fed to k-nearest neighbour (KNN) query classifier and the end result of classifier is finally passed to Odia speech synthesizer to deliver the response in voice mode. We have employed voice transformation technique in speech synthesis system to produce the spoken output in male, female, child and robotic voice. The developed double ended voice enabled system is operational over Odia spoken query and delivered the response in synthesized Odia voice.
A Psychological Study of Loneliness: Tasks and Perspectives

This study analyzes the current state of psychological research on loneliness, and looks for directionality in the future. The history of research on loneliness is comparatively new, and the empirical study using the loneliness scales has been actively utilized. The results from the survey of definitions of loneliness, the three approaches of loneliness study, and the feature of loneliness scales, were considered for future research direction.
Edge Profile Effect of Tunnel Oxide on Erase Threshold-Voltage Distributions in Flash Memory Cells

The erase threshold-voltage (VT) distribution in Flash electrically erasable programmable read-only memory cells was investigated versus the tunnel oxide edge profiles in self-aligned shallow trench isolation (SA-STI) and self-aligned poly (SAP) cells. The capacitive coupling with offset voltage correction is transcribed into VT transient for simulating erase VT dispersion without numerous full structure device simulations. It is shown that SAP gives rise to smaller VT dispersion, compared with SA-STI. The VT dispersion resulting from variations in dielectric thickness and oxide edge profiles is shown to fall far short of observed VT distribution, calling for examination of additional process and cell parameters
VALIDEZ Y CONFIABILIDAD DEL CUESTIONARIO PARA IDENTIFICACIÓN DE TRASTORNOS DEBIDOS AL CONSUMO DE ALCOHOL (AUDIT) EN UNIVERSITARIOS COLOMBIANOS

El objetivo el presente estudio de tipo instrumental es analizar las condiciones psicometricas (validez de constructo y confiabilidad) del Cuestionario para Identificacion de Trastornos Debidos al Consumo de Alcohol (AUDIT) en jovenes universitarios colombianos. Para ello se conto con 1000 jovenes universitarios obtenidos por un muestreo aleatorio simple, que se encontraban cursando sus estudios en una universidad en la ciudad de Bogota. Los resultados muestran que el AUDIT presenta una estructura conformada por 2 componentes que explican el 49,806% de la varianza total y un indice de confiabilidad de ,795, lo que reafirma la estructura bidimensional que los autores originales hallaron, permitiendo indicar que el AUDIT es un cuestionario valido y confiable para ser utilizado en poblacion universitaria juvenil colombiana.
Personality: Possible effects of inbreeding depression on sensation seeking

Penke et al. (this issue) state that there are no studies of inbreeding depression on personality. In this response to their paper, we look at the effect of parents being born in the same geographical region on personality in themselves and in their offspring. Results show that when parents come from the same region, both they and their offspring score lower on sensation seeking than when parents come from different regions. These results may suggest effects of inbreeding depression on personality. Copyright ©2007 John Wiley & Sons, Ltd.
Under Consideration for Publication in Formal Aspects of Computing Synthesizing Bounded-time 2-phase Fault Recovery

We focus on synthesis techniques for transforming existing fault-intolerant real-time programs into fault-tolerant programs that provide phased recovery. A fault-tolerant program is one that satisfies its safety and liveness specifications as well as timing constraints in the presence of faults. We argue that in many commonly considered programs (especially in safety/mission-critical systems), when faults occur, simple recovery to the program's normal behavior is necessary, but not sufficient. For such programs, it is necessary that recovery is accomplished in a sequence of phases, each ensuring that the program satisfies certain properties. In the simplest case, in the first phase the program recovers to an acceptable behavior within some time θ, and, in the second phase, it recovers to the ideal behavior within time δ. In this article, we introduce four different types of bounded-time 2-phase recovery, namely ordered-strict, strict, relaxed, and graceful, based on how a real-time fault-tolerant program reaches the acceptable and ideal behaviors in the presence of faults. We rigorously analyze the complexity of automated synthesis of each type: we either show that the problem is hard in some class of complexity or we present a sound and complete synthesis algorithm. We argue that such complexity analysis is essential to deal with the highly complex decision procedures of program synthesis.
Nonlinear Influence of T-Channels in an in silico  Relay Neuron

Thalamic relay cells express distinctive response modes based on the state of a low-threshold calcium channel (T-channel). When the channel is fully active (burst mode), the cell responds to inputs with a high-frequency burst of spikes; with the channel inactive (tonic mode), the cell responds at a rate proportional to the input. Due to the T-channel's dynamics, we expect the cell's response to become more nonlinear as the channel becomes more active. To test this hypothesis, we study the response of an in silico relay cell to Poisson spike trains. We first validate our model cell by comparing its responses with in vitro responses. To characterize the model cell's nonlinearity, we calculate Poisson kernels, an approach akin to white noise analysis but using the randomness of Poisson input spikes instead of Gaussian white noise. We find that a relay cell with active T-channels requires at least a third-order system to achieve a characterization as good as a second-order system for a relay cell without T-channels.
Deflation and the International Great Depression: A Productivity Puzzle

This paper develops the first dynamic, stochastic, general equilibrium analysis of the International Great Depression. We construct a new version of Lucas? s (1972) monetary misperceptions model, with a real shock (productivity) and a nominal shock (money supply). We use the model with a newly assembled panel data set from 17 countries between 1929-33 to quantify the fraction of output change and price change that is accounted for by these two shocks. Data limitations require us to develop a new procedure for identifying the two shocks. The identified productivity shock has a large country-specific component, and is highly correlated with actual productivity. The identified monetary shock has a large common component, and is highly correlated with money supply changes. We find that the model accounts for most of the variation in macroeconomic activity in the panel of countries. About 2/3 of output change is accounted for by the real (productivity) shock, and virtually all of the change in nominal prices is accounted for by the nominal (money supply) shock. The only variable we find that is highly correlated with the productivity shock is stock prices. We conclude that financial friction models are potentially the most promising class of models for understanding the Solow Residual during this period, and thus the Great Depression.
Region feature space based target retrieval in video

A new robust target retrieval method in video is presented in this paper. The proposed approach uses spatio-temporal analysis to segment video in space-time domain. Then, a region feature space is defined according to the segment result, in which selected or given objects can be retrieved automatically in successive frames through local motion estimation. Various experiments show our algorithm is robust to partial occlusion, out-of-plane rotation and great relative movement among targets, scene and camera.
Take-Off from Satellite Orbit

The mass ratio or the characteristic velocity for the tal,eoff of a space ship from the satellite orbit is computed for two cases: the radial thrust, and the circumferential thrust. The circumferential thrust is much more efficient in that the required mass ratio is much Jess than for the radial thrust. Both cases show, however, an increase of the required mass ratio and the characteristic velocity with a reduction in acceleration. With circumferential thrust, the characteristic velocity increases by a factor of two, when the acceleration is reduced from 1/2 g to 1/'000 g.
The influence of alpine glaciation on the relief of tectonically active mountain belts

A surface processes model incorporating large-scale fluvial processes, local hill-slope processes, and glacial erosion is used to investigate the effect of glaciation on the relief of a fast-growing, narrow orogen. The results of several simulations show that: glaciers concentrate erosion near peaks; fluvial erosion is reduced downstream of glaciers; glaciers with frozen bases can lead to an increase in relief; and the net affect of glaciation in the absence of widespread basal freezing is to reduce relief.
A Low Cost Polymer Based Piezo-actuated Micropump For Drug Delivery System

This paper presents the design, realization and simulation of a novel polymer based check-valve micropump actuated by piezoelectric disc. Comparing with silicon substrate, polymer materials have such advantages as flexibility, chemical and biological compatibility, 3D fabrication possibility and low cost in materials and mass production. Laser micromachining technology and precision engineering techniques were used to fabricate the prototype with the dimension of ) 18mmx5.2mm. Results of preliminary experiments on fusion bonding between polyimide and polycarbonate are also presented. Using DI water as the pumping medium, the presented micropump is expected to achieve self-priming, bubble tolerance and low power consumption and a flow rate of 30Pl/min at the resonance frequency of 300Hz.
Normal modes of trapped ions in the presence of anharmonic trap potentials

We theoretically and experimentally examine the effects of anharmonic terms in the trapping potential for linear chains of trapped ions. We concentrate on two different effects that become significant at different levels of anharmonicity. The first is a modification of the oscillation frequencies and amplitudes of the ions' normal modes of vibration for multi-ion crystals, resulting from each ion experiencing a different curvature in the potential. In the second effect, which occurs with increased anharmonicity or higher excitation amplitude, amplitude-dependent shifts of the normal-mode frequencies become important. We evaluate normal-mode frequency and amplitude shifts, and comment on the implications for quantum information processing and quantum state engineering. Since the ratio of the anharmonic to harmonic terms typically increases as the ion–electrode distance decreases, anharmonic effects will become more significant as ion trap sizes are reduced. To avoid unwanted problems, anharmonicities should therefore be taken into account at the design stage of trap development.
Vasomotor nephropathy in the elderly.

Pathophysiology of pre-renal ARFprevalence of 36% (7% of the population and 10.5% Normal kidneys may withstand wide variations inof hospital admissions) [1]. This is one of the examples renal perfusion pressure, maintaining unchanged renalof the high incidence of ARF in the elderly that has blood ﬂow (RBF) and glomerular ﬁltration rateeven led to the suggestion to consider ARF as a typical (GFR) (renal autoregulation). Should renal perfusiongeriatric disease [2]. pressure fall (because of hypovolaemia) below theAmong the causes of ARF in the elderly, as com- lower limit of the autoregulatory range (i.e.pared with younger subjects, we may include important BP
Combining Observed Rainfall Data and Deterministic Predictions Using a Bayesian Approach

We combine a purely stochastic approach method to represent rainfall variability in space with purely deterministic Regional Climate Model (RCM) predictions within a Bayesian framework. A truncated normal model is fitted to the observed ground data and the posterior distribution of the model parameters, conditional on all available data, is obtained by using a Markov chain Monte Carlo method. The final product is a combination of the two sources of information: the ground based data set, which usually corresponds to spatially sparse information, and the regional climate model outputs with information that covers the entire spatial domain. The joint posterior predictive distribution of the gridded model outputs allows us to produce updated samples of the RCM model conditioned on the observed point observations. Also, point rainfall estimates at locations without rainfall measurements conditioned on RCM observations can be obtained. We considered a set of data from an area in Nebraska for which time is considered fixed and rainfall is accumulated monthly.
Malware Virtualization-Resistant Behavior Detection

Many researchers monitor malicious software (malware) behavior using Virtual Machines (VM) to protect the underlying operating system. For virtual machines, the malware monitor process exists at the same layer as the real system so the monitor can get detailed behavior information without being discovered. There are some Anti-VM techniques employed by malware authors to ward off collection, analysis and reverse engineering of their malicious programs. Therefore, malware researchers may obtain inaccurate analysis from VM aware programs. This paper presents a solution to detect Anti-VM techniques. We collect behavioral information from malware and use an enhanced behavior distance algorithm to calculate the difference between real and virtual environments to distinguish if the malware has Anti-VM capability. Our experiments show this algorithm works well. This idea can improve malware analysis results and reduce malware misdetection.
Fuzzy Enhancement for Color Image Processing

Enhancement and removing the noises in an image is a critical issue in the digital image processing field. In this paper, the new algorithm introduced to enhancing color image corrupted by Gaussian noise using fuzzy logic which described uncertain features of images with modification of median filter. The performance of the proposed technique have been evaluated and compared to the existing mean and median filter.
AUGMENTING HUMAN POTENTIAL AT WORK: AN INVESTIGATION ON THE ROLE OF SELF-EFFICACY IN WORKFORCE COMMITMENT AND JOB SATISFACTION Mishra U.S., Patnaik S., Mishra B.B. *

The prime purpose of this study is to evaluate the role of self-efficacy in job satisfaction and employee commitment. Self-efficacy refers to individual's conviction in their ability to successfully execute a given task (Bandura, 1997). Ensuring job satisfaction and increasing employee commitment are important issues faced by organizations. Results of this study depict that self-efficacy is significantly and positively associated with job satisfaction and commitment. Findings of the study have got implication on gaining competitive advantage. Contemporary scholars argue that obtaining competitive advantage through traditional resources is not sustainable as proprietary information, economic resources, and technology are available. Self-efficacy being a positive psychological resource is not easily replicable by competitors and thus can serve as a source of competitive advantage. Further, self-efficacy training can be devised to enhance self- efficacy in employees. Improvement in self-efficacy is likely to foster growth in self- leadership behavior, commitment, job satisfaction, and performance.
Combination of lentivirus-mediated silencing of PPM1D and temozolomide chemotherapy eradicates malignant glioma through cell apoptosis and cell cycle arrest

Temozolomide (TMZ) is approved for use as first-line treatment for glioblastoma multiforme (GBM). However, GBM shows chemoresistance shortly after the initiation of treatment. In order to detect whether silencing of human protein phosphatase 1D magnesium dependent (PPM1D) gene could increase the effects of TMZ in glioma cells, glioma cells U87-MG were infected with lentiviral shRNA vector targeting PPM1D silencing. After PPM1D silencing was established, cells were treated with TMZ. The multiple functions of human glioma cells after PPM1D silencing and TMZ chemotherapy were detected by flow cytometry and MTT assay. Significantly differentially expressed genes were distinguished by microarray-based gene expression profiling and analyzed by gene pathway enrichment analysis and ontology assessment. Western blotting was used to establish the protein expression of the core genes. PPM1D gene silencing improves TMZ induced cell proliferation and induces cell apoptosis and cell cycle arrest. When PPM1D gene silencing combined with TMZ was performed in glioma cells, 367 genes were upregulated and 444 genes were downregulated compared with negative control. The most significant differential expression pathway was pathway in cancer and IGFR1R, PIK3R1, MAPK8 and EP300 are core genes in the network. Western blotting showed that MAPK8 and PIK3R1 protein expression levels were upregulated and RB1 protein expression was decreased. It was consistent with that detected in gene expression profiling. In conclusion, PPM1D gene silencing combined with TMZ eradicates glioma cells through cell apoptosis and cell cycle arrest. PIK3R1/AKT pathway plays a role in the multiple functions of glioma cells after PPM1D silencing and TMZ chemotherapy.