Miracle-dz/UniFAR-FTUs huggingface dataset:
Positive Psychological Interventions Helps Employees Work Stress

Stress is the emotional and physical strain caused by our response to pressure from the outside world. There are many stress full events in life an individuals and most of these stress events in life related to the workplace. Stress in the life of the organized workers consequently affects the health or behavior in organizations. Despite the preponderance of research describing the impact of stress in the workplace, few studies exist examining ways to reduce stress. The positive psychology is the scientific study of how humans achieve happiness and mental satisfaction. Positive psychology is based on the principal that all people want on the happy, fulfilled life. It is intended to build strength in a people to make the world a better place. Relaxation techniques is any method, process, procedure, or activity that helps a person to relax, to attain a state of increased calmness, or otherwise reduce levels of anxiety, stress or anger. The purpose of this research paper is to explore a positive psychology-based intervention such as relaxation techniques would actually reduce stress in the workplace. This paper emphasized on the relationship between stress and positive psychology through use some psychological intervention techniques.
A power allocation scheme in two-hop multi-node cooperative communication system

Power allocation is one of the key technologies in wireless communication system. The research on how to improve system performances via power allocation is important for cooperative communication system. In this paper, firstly, we analyze a multi-node cooperative communication system, then the paper aims at proposing a power allocation scheme. Through analysis and simulation study, the proposed scheme is able to improve system capacity and reduce outage probability compared to the traditional power allocation scheme. At last, system performances with different relay positions are compared.
Performance Analysis of Business Process Model For Ubiquitous Information Networking

Beyond the computer networking, the wired Internet and mobile Internet penetrate deeply in our business processing. The web services for wired Internet and mobile Internet should be unified for convenient user interface as well as for integrity of business processing models. The web server for business processing should be unified as a role center for real-time information network in the ubiquitous computing environment. We studied the performance analysis of business processing model for real-time information network based on wired and mobile Internet. We show an empirical performance analysis and metrics on the basis of simple implementation of the unified portal for global business processing(i.e. worldwide Korean information network for businesses), as an example of a BPM (business processing model) for ubiquitous information networking.
ARTES Project Proposal Design of Heterogeneous Multiprocessor Systems for Real-Time Applications

This project is planned as part of a large ongoing effort carried out at ESLAB, Linköping University, aimed to develop methodologies and tools for the design of real-time applications implemented as multiprocessor systems. The main focus of the proposed research will be on design methodologies and tools for heterogeneous systems in telecom applications, consisting of several programmable processors and dedicated hardware components. One of the main goals is to support the designer from the early phases of the design, in which the application is specified at a high-level of abstraction, and to support the automatic and/or interactive exploration of a large design space, which leads to high performance and cost efficient solutions. In particular, methods will be investigated in order to support the selection of a system architecture which optimally suits a given application, so that costs are minimized and design constraints are fulfilled. This implies the selection of programmable processors, dedicated hardware components, memories, busses and interconnection topology. The proposed strategy, which has also to facilitate the reuse of earlier designs as part of the new architecture, will be based on a hierarchical architecture model and component libraries. An important aspect of this research will be the development of fast and accurate estimation tools for performance and cost, which have to guide the design exploration process towards an efficient implementation. Another aspect of the research concerns the investigation of scheduling alternatives for embedded hardware/software systems. The basestation in a digital mobile-telephone network has been defined as a demonstrator application to be used for this project. We would like to apply for funding to support one Ph.D student for a period of four (2 + 2) years. The research will be done in cooperation with the industry and will use industrial examples to validate the proposed concepts. -1
lvii Preface The Prospects and Challenges

With the Age of Big Data upon us, should we risk being drowned in a struggling cyclone of digital data? Or should we instead be lifted to an ever higher level of knowledge by capitalizing on a reservoir of meaningful flowing information? Big-data spans five dimensions (volume, variety, velocity, volatility, and veracity) and is generally focused towards one critical emphasis-value. In addition, Big-data has become a critical and viable part of the business world and in each person's daily life. Embracing both large-scale information and knowledge, big-data does have great value. The Encyclopedia of Business Analytics and Optimization (EBAO) confronts the challenges of extracting a fountain of knowledge from mountains of big-data. Analytics is " the scientific process of transforming data into insight for making better decisions " (INFORMS, 2013). Big-data has been created by AT&T InfoLab with live, real-time data for over a decade. In contrast to traditional " large " data, big-data varies by five dimensions. Big-data is created in large volumes and high frequency, with an excessive dimensional measurement of variability. With possible qualitative information, it can be unstructured and needs authenticity ratification, but the final destination is to gain high value. Facing the explosion of big-data and the crucial need to acquire insight into it using specialized software, organizations need to increase their operational efficiency and gain competitive advantage by making use of this potential treasure trove of valuable information. The potential of business analytics or big-data analytics can be substantial in that utilizing such a wealth of knowledge anywhere in an organization, from business to biology, can drastically enhance efficiency, improve effectiveness, and improve the bottom line. Since we produce extraordinary amounts of data, they can be found in different forms. These include posts to social media sites, logs of browsing habits, Web log files, business transactions, medical records, smartphone location trails and genomic information, sensor signals, surveillance data, video, image, and multimedia archives, etc. Certainly, it can be prophesied that an explosion in terms of the Internet of Things (IoT) applications will raise the scale of data to an exceptional level. Data is growing at an exceptional rate. We produce more data now in a day than we did from the dawn of civilization through to 2003, approximately 90% of all the world's data has been created in the past 2 years (Kolb & Kolb, 2013). New technologies, methodologies, and strategies are needed to …
Structural Basis for Interaction of O-Acetylserine Sulfhydrylase and Serine Acetyltransferase in the Arabidopsis Cysteine Synthase Complex

In plants, association of O-acetylserine sulfhydrylase (OASS) and Ser acetyltransferase (SAT) into the Cys synthase complex plays a regulatory role in sulfur assimilation and Cys biosynthesis. We determined the crystal structure of Arabidopsis thaliana OASS (At-OASS) bound with a peptide corresponding to the C-terminal 10 residues of Arabidopsis SAT (C10 peptide) at 2.9-Å resolution. Hydrogen bonding interactions with key active site residues (Thr-74, Ser-75, and Gln-147) lock the C10 peptide in the binding site. C10 peptide binding blocks access to OASS catalytic residues, explaining how complex formation downregulates OASS activity. Comparison with bacterial OASS suggests that structural plasticity in the active site allows binding of SAT C termini with dissimilar sequences at structurally similar OASS active sites. Calorimetric analysis of the effect of active site mutations (T74S, S75A, S75T, and Q147A) demonstrates that these residues are important for C10 peptide binding and that changes at these positions disrupt communication between active sites in the homodimeric enzyme. We also demonstrate that the C-terminal Ile of the C10 peptide is required for molecular recognition by At-OASS. These results provide new insights into the molecular mechanism underlying formation of the Cys synthase complex and provide a structural basis for the biochemical regulation of Cys biosynthesis in plants.
Dark Light, Rod Saturation, and the Absolute and Incremental Sensitivity of Mouse Cone Vision

Visual thresholds of mice for the detection of small, brief targets were measured with a novel behavioral methodology in the dark and in the presence of adapting lights spanning ∼8 log10 units of intensity. To help dissect the contributions of rod and cone pathways, both wild-type mice and mice lacking rod (Gnat1−/−) or cone (Gnat2cpfl3) function were studied. Overall, the visual sensitivity of mice was found to be remarkably similar to that of the human peripheral retina. Rod absolute threshold corresponded to 12–15 isomerized pigment molecules (R*) in image fields of 800 to 3000 rods. Rod “dark light” (intrinsic retinal noise in darkness) corresponded to that estimated previously from single-cell recordings, 0.012 R* s−1 rod−1, indicating that spontaneous thermal isomerizations are responsible. Psychophysical rod saturation was measured for the first time in a nonhuman species and found to be very similar to that of the human rod monochromat. Cone threshold corresponded to ∼5 R* cone−1 in an image field of 280 cones. Cone dark light was equivalent to ∼5000 R* s−1 cone−1, consistent with primate single-cell data but 100-fold higher than predicted by recent measurements of the rate of thermal isomerization of mouse cone opsins, indicating that nonopsin sources of noise determine cone threshold. The new, fully automated behavioral method is based on the ability of mice to learn to interrupt spontaneous wheel running on the presentation of a visual cue and provides an efficient and highly reliable means of examining visual function in naturally behaving normal and mutant mice.
Evaluation and Simulation for Civil Aircraft Integrated Avionics Network Based on Multi-performance Indices

In this paper, the integrated evaluation method and the realization integrated are studied for the civil aircraft integrated avionics network based on multi performance indices. To address the reliability of the civil aircraft integrated avionics network, the evaluation indices are established which contains invulnerability, survivability, effectiveness and synchronization. Then, the evaluation system of civil aircraft integrated avionics system is realized on the basis of the established complex system network evaluation indices. Finally, the simulation evaluation results are given to show the effectiveness of the proposed integrated evaluation method based on multi performance indices for the civil aircraft integrated avionics network.
A versatile real-time experiment: balancing a ball on a flat board

Comparable to the dining philosophers in parallel programming we look for a paradigmatic problem for real-time systems. Our experimental system for balancing a ball on a flat board is described and assessed under its animative, curricular, and scientific aspects. Particularly under the curricular aspect the experimental system offers transferable solutions for various subjects in real-time systems education, e.g. modeling, analysis, scheduling, software engineering, techniques of programming, operating systems and computer networks.
Circuit-Specific Alterations in Hippocampal Synaptophysin Immunoreactivity Predict Spatial Learning Impairment in Aged Rats

The present study examined the long-standing concept that changes in hippocampal circuitry contribute to age-related learning impairment. Individual differences in spatial learning were documented in young and aged Long–Evans rats by using a hippocampal-dependent version of the Morris water maze. Postmortem analysis used a confocal laser-scanning microscopy method to quantify changes in immunofluorescence staining for the presynaptic vesicle glycoprotein, synaptophysin (SYN), in the principal relays of hippocampal circuitry. Comparisons based on chronological age alone failed to reveal a reliable difference in the intensity of SYN staining in any region that was examined. In contrast, aged subjects with spatial learning deficits displayed significant reductions in SYN immunoreactivity in CA3 lacunosum-moleculare (LM) relative to either young controls or age-matched rats with preserved learning. SYN intensity values for the latter groups were indistinguishable. In addition, individual differences in spatial learning capacity among the aged rats correlated with levels of SYN staining selectively in three regions: outer and middle portions of the dentate gyrus molecular layer and CA3-LM. The cross-sectional area of SYN labeling, by comparison, was not reliably affected in relation cognitive status. These findings are the first to demonstrate that a circuit-specific pattern of variability in the connectional organization of the hippocampus is coupled to individual differences in the cognitive outcome of normal aging. The regional specificity of these effects suggests that a decline in the fidelity of input to the hippocampus from the entorhinal cortex may play a critical role.
Combining the Best of Two Worlds: NLP and IR for Intranet Search

Natural language processing (NLP) is becoming much more robust and applicable in realistic applications. One area in which NLP has still not been fully exploited is information retrieval (IR). In particular we are interested in search over intranets and other local Web sites. We see dialogue-driven search which is based on a largely automated knowledge extraction process as one of the next big steps. Instead of replying with a set of documents for a user query the system would allow the user to navigate through the extracted knowledge base by making use of a simple dialogue manager. Here we support this idea with a first task-based evaluation that we conducted on a university intranet. We automatically extracted entities like person names, organizations and locations as well as relations between entities and added visual graphs to the search results whenever a user query could be mapped into this knowledge base. We found that users are willing to interact and use those visual interfaces. We also found that users preferred such a system that guides a user through the result set over a baseline approach. The results represent an important first step towards full NLP-driven intranet search.
The role of a CAMEL downgrade model in bank surveillance

This article examines the potential contribution to bank supervision of a model designed to predict which banks will have their supervisory ratings downgraded in future periods. Bank supervisors rely on various tools of off-site surveillance to track the condition of banks under their jurisdiction between on-site examinations, including econometric models. One of the models that the Federal Reserve System uses for surveillance was estimated to predict bank failures. Because bank failures have been so rare during the last decade, the coefficients on this model have been "frozen" since 1991. Each quarter the surveillance staff at the Board of Governors provide the supervision staff in the Reserve Banks the probabilities of failure by the banks subject to Fed supervision, based on the coefficients of this bank failure model and the latest call report data for each bank. The number of banks downgraded to problem status in recent years has been substantially larger than the number of bank failures. During a period of few bank failures, the relevance of this bank failure model for surveillance depends to some extent on the accuracy of the model in predicting which banks will have their supervisory ratings downgraded to problem status in future periods. This paper compares the ability of two models to predict downgrades of supervisory ratings to problem status: the Board staff model, which was estimated to predict bank failures, and a model estimated to predict downgrades of supervisory ratings. We find that both models do about as well in predicting downgrades of supervisory ratings for the early 1990s. Over time, however, the ability of the downgrade model to predict downgrades improves relative to that of the model estimated to predict failures. This pattern reflects the value of using a model for surveillance that can be re-estimated frequently. We conclude that the downgrade model may prove to be a useful supplement to the Board's model for estimating failures during periods when most banks are healthy, but that the downgrade model should not be considered a replacement for the current surveillance framework.
ASPECTS OF NONCOMMUTATIVE LORENTZIAN GEOMETRY FOR GLOBALLY HYPERBOLIC SPACETIMES

Connes' functional formula of the Riemannian distance is generalized to the Lorentzian case using the so-called Lorentzian distance, the d'Alembert operator and the causal functions of a globally-hyperbolic spacetime. As a step of the presented machinery, a proof of the almost-everywhere smoothness of the Lorentzian distance considered as a function of one of the two arguments is given. Afterwards, using a C*-algebra approach, the spacetime causal structure and the Lorentzian distance are generalized into noncommutative structures giving rise to a Lorentzian version of part of Connes' noncommutative geometry. The generalized noncommutative spacetime consists of a direct set of Hilbert spaces and a related class of C*-algebras of operators. In each algebra a convex cone made of self-adjoint elements is selected which generalizes the class of causal functions. The generalized events, called loci, are realized as the elements of the inductive limit of the spaces of the algebraic states on the C*-algebras. A partial-ordering relation between pairs of loci generalizes the causal order relation in spacetime. A generalized Lorentz distance of loci is defined by means of a class of densely-defined operators which play the role of a Lorentzian metric. Specializing back the formalism to the usual globally-hyperbolic spacetime, it is found that compactly-supported probability measures give rise to a non-pointwise extension of the concept of events.
Evolution analysis and survival condition for altruistic behaviors in evolutionary game

Group selection is often cited as an explanation for the survival of altruistic behaviors. The evolutionary dynamic model of altruistic behaviors is established and analyzed. The sufficient and necessary condition for the survival of altruistic behaviors is obtained and proved. Although in a single interaction the altruist is at a disadvantageous position compared with the egoist, altruistic behaviors can survive in the repeated game if the payoff is high enough. This conclusion is useful for the analysis of group mechanism under the framework of evolutionary game theory.
The effect of gestures on second language memorisation by young children

This article examines the impact of gesture on second language memorisation in teaching to very young learners. Twenty French children (mean age 5;5) took part in an experiment. They had to learn eight words in a foreign language (English). One group of children (N = 10) were taught words with pictures and another group (N = 10) words with accompanying gestures. Children in this group had to reproduce the gestures while repeating the words. Results show that gestures and especially their reproduction significantly influence the memorisation of second language (L2) lexical items as far as the active knowledge of the vocabulary is concerned (being able to produce words and not only understand them). This finding is consistent with theories on multimodal storage in memory. When reproduced, gestures not only act as a visual modality but also as a motor modality and thus leave a richer trace in memory.
Bradyrhizobium ottawaense sp. nov., a symbiotic nitrogen fixing bacterium from root nodules of soybeans in Canada

Sixteen strains of symbiotic bacteria from root nodules of Glycine max grown in Ottawa, Canada, were previously characterized and placed in a novel group within the genus Bradyrhizobium. To verify their taxonomic status, these strains were further characterized using a polyphasic approach. All strains possessed identical 16S rRNA gene sequences that were 99.79 % similar to the closest relative, Bradyrhizobium liaoningense LMG 18230T. Phylogenetic analysis of concatenated atpD, glnII, recA, gyrB, rpoB and dnaK genes divided the 16 strains into three multilocus sequence types that were placed in a highly supported lineage distinct from named species of the genus Bradyrhizobium consistent with results of DNA–DNA hybridization. Based on analysis of symbiosis gene sequences (nodC and nifH), all novel strains were placed in a phylogenetic group with five species of the genus Bradyrhizobium that nodulate soybeans. The combination of phenotypic characteristics from several tests including carbon and nitrogen source utilization and antibiotic resistance could be used to differentiate representative strains from recognized species of the genus Bradyrhizobium. Novel strain OO99T elicits effective nodules on Glycine max, Glycine soja and Macroptilium atropurpureum, partially effective nodules on Desmodium canadense and Vigna unguiculata, and ineffective nodules on Amphicarpaea bracteata and Phaseolus vulgaris. Based on the data presented, we conclude that our strains represent a novel species for which the name Bradyrhizobium ottawaense sp. nov. is proposed, with OO99T ( = LMG 26739T = HAMBI 3284T) as the type strain. The DNA G+C content is 62.6 mol%.
Role of Plasma Protein and Low-Molecular Weight Substances in the Change of Hydroxyl Radical Scavenging Activity in Hemodialysis Patients

While it is well known that hemodialysis (HD) patients with end stage renal failure are exposed to high oxidative stress, there is not a general opinion regarding whether antioxidant activity is high or low in these patients. We evaluated the variation of plasma hydroxyl radical scavenging activity (p-HRSA) by a single-session of HD in 69 patients by using a new system, reactive flow-injection electron spin resonance. And then comparing p-HRSA with their biochemical parameters, we tried to elucidate what components affected p-HRSA in the HD patients. The average of p-HRSA significantly increased after HD and the variation of p-HRSA by HD was correlated with that of plasma total protein (TP). In 5 patients however, their p-HRSA decreased after HD, in spite of increasing TP. In pre-HD, the p-HRSA values and hydroxyl radical scavenging activity of low-molecular weight fraction of plasma were significantly higher in these 5 patients than in patients whose p-HRSA increased after HD. These 5 patients were in an inflammatory state. These findings suggest that p-HRSA is mainly affected by TP, but caution should be exercised in patients who have high p-HRSA before HD and whose p-HRSA does not increase after HD.