Miracle-dz/UniFAR-FTUs huggingface dataset:
Product and Process Characteristics, Advanced Manufacturing Initiatives, and Supply Chain Management Initiatives: Complementarities and FIT-Performance Consequences

We test two hypotheses reflecting answers to the following questions: (1) Do manufacturing firms adopt advanced manufacturing initiatives and supply chain management initiatives in a complementary manner, consistent with a given set of product and process characteristics? and (2) If the adoptions of various advanced manufacturing initiatives and various supply chain management initiatives do represent complementary choices, in light of a given set of product and process characteristics, what performance consequences can be expected? The two hypotheses are derived based on the logic of complementarities from economics, the structural contingency perspective in organization theory, and the concept of "FIT" from strategic management and are empirically examined with secondary data from durable goods manufacturers. Results from applying the method of simultaneous equations and regression analyses indicate that manufacturing firms appear to make adoption decisions with respect to advanced manufacturing initiatives and supply chain management initiatives in a complementary manner and that the complementary nature of these choices (i.e., "FIT") improves manufacturing performance. Change decisions should, therefore, not be made in isolation without considering impact on "FIT" and performance. The overall empirical approach, moreover, demonstrates a "systems approach" to defining "FIT" and examining its implications.
DNS extensions to Network Address Translators (DNS_ALG)

Domain Name Service (DNS) provides name to address mapping within a routing class (ex: IP). Network Address Translators (NATs) attempt to provide transparent routing between hosts in disparate address realms of the same routing class. Typically, NATs exist at the border of a stub domain, hiding private addresses from external addresses. This document identifies the need for DNS extensions to NATs and outlines how a DNS Application Level Gateway (DNS_ALG) can meet the need. DNS_ALG modifies payload transparently to alter address mapping of hosts as DNS packets cross one address realm into another. The document also illustrates the operation of DNS_ALG with specific examples.
Structure of the Cytochrome b6f Complex of Oxygenic Photosynthesis: Tuning the Cavity

The cytochrome b6f complex provides the electronic connection between the photosystem I and photosystem II reaction centers of oxygenic photosynthesis and generates a transmembrane electrochemical proton gradient for adenosine triphosphate synthesis. A 3.0 angstrom crystal structure of the dimeric b6f complex from the thermophilic cyanobacterium Mastigocladus laminosus reveals a large quinone exchange cavity, stabilized by lipid, in which plastoquinone, a quinone-analog inhibitor, and a novel heme are bound. The core of the b6f complex is similar to the analogous respiratory cytochrome bc1 complex, but the domain arrangement outside the core and the complement of prosthetic groups are strikingly different. The motion of the Rieske iron-sulfur protein extrinsic domain, essential for electron transfer, must also be different in the b6f complex.
Gender-Based Wage Differences, Household Bargaining and Working Women's Welfare: Theory and Evidence From Izmir, Turkey

This paper looks at household welfare distribution among two-income couples from three social strata in Izmir, Turkey. A simple explicit two-stage dynamic game theory model is developed to determine if an egalitarian intra-household distribution under certain circumstances is consistent even though women earn lower wages than men. The data was derived from a questionnaire developed to determine the viewpoints of each spouse regarding the personal expenditures of the other. The model, although a noncooperative household bargaining model, also has aspects of cooperative models and proved to be flexible enough to be applicable for different socio-economic strata
Learning Concepts, Taxonomic and Nontaxonomic Relations from texts

This paper discusses the knowledge extraction process in an ontology learning system called Hasti. It exploits an automatic, hybrid, symbolic approach to acquire conceptual knowledge and construct flexible and dynamic ontologies from scratch. This approach starts from a small kernel and learns concepts, taxonomic and non-taxonomic relations and axioms from natural language texts. The focus of this paper is on extraction of concepts and conceptual (taxonomic and non-taxonomic) relations using linguistic and template-driven methods. In this paper, the author will first present a brief overview on ontology learning systems and then describing the life cycle for the ontology learning and building process in Haiti, the knowledge extraction process will be discussed in more details. At last the author will present some experimental results of implementation and testing the proposed model
Combined Effect of Synthetic and Natural Polymers in Preparation of Cetirizine Hydrochloride Oral Disintegrating Tablets: Optimization by Central Composite Design

Our aim was to employ experimental design to formulate and optimize cetirizine hydrochloride oral disintegrating tablets (ODTs) by direct compression technique, using the mutual effect of synthetic croscarmellose sodium (CCS) and natural Hibiscus rosa-sinensis mucilage (HRM) as disintegrants in the formulation. Central composite design (CCD) was applied to optimize the influence of three levels each of CCS (X 1) and HRM (X 2) concentrations (independent variables) for investigated responses: disintegration time (DT) (Y 1), % friability (F) (Y 2), and % cumulative drug release (DR) (Y 3) (dependent variables). This face-centered second-order model's reliability was verified by the probability and adequate precision values from the analysis of variance, while the significant factor effects influencing the studied responses were identified using multiple linear regression analysis. Perturbation and response surface plots were interpreted to evaluate the responses' sensitivity towards the variables. During optimization, the concentrations of the processed factors were evaluated, and the resulting values were in good agreement with predicted estimates endorsing the validity. Spectral study by Fourier Transform Infrared Spectroscopy (FTIR) and thermograms from Differential Scanning Calorimetry (DSC) demonstrated the drug-excipients compatibility of the optimized formulation. The optimized formulation has concentrations of 9.05 mg and 16.04 mg of CCS and HRM each, respectively, and the model predicted DT of 13.271 sec, F of 0.498, and DR of 99.768%.
PAPR ANALYSIS BY A DAPTIVE ACTIVE CONSTELLATION EXTENSION FOR STBC MIMO-OFDM SYSTEMS

In this paper Adaptive Active Constellation (A-ACE) is implemented for Peak to Average Power Ratio (PAPR) reduction of OFDM Systems with spectral diversity of Space time Block Coding (STBC). The Adaptive Active Constellation Extension (A-ACE) is more simple and attractive for practical downlink implementation purpose. With the combination of MIMO and OFDM, grater channel capacities could be realized with robustness to channel impairments like ISI and multipath fading through cyclic prefix (CP). To overcome the disadvantage of normal constellation method i.e. minimum PAR value cannot be achieved if the target clipping level is much below than the initial optimum value, we envisaged ACE algorithm with adaptive clipping control to STBC MIMO-OFDM systems. Simulation results demonstrate that the algorithm can reach the minimum PAPR for severely low clipping ratios is superior to the performance of the ACE method in the single antenna OFDM system.
Neural networks with branch gates

A new architecture of neural networks (NNs) is proposed named neural networks with branch gates (NN-bg). It aims at improving the generalization ability of NNs by controlling the connectivity of neurons adaptively depending on the input information. To realize such architecture, we use a branch control system having low calculation costs. In the branch control system, the distance between the input values of the network and parameters of the branch control system is calculated. After normalization within 0 to 1, the outputs of the branch control system are multiplied to the branches of the NN. The parameters of the branch control system are trained by a random searching method, RasID, to realize an adaptive optimization with very small number of training steps. Through some simulations, the usefulness of the three-layered NN-bg is shown compared with conventional layered neural networks.
A hypothesis for delayed dynamic earthquake triggering

It's uncertain whether more near‐field earthquakes are triggered by static or dynamic stress changes. This ratio matters because static earthquake interactions are increasingly incorporated into probabilistic forecasts. Recent studies were unable to demonstrate all predictions from the static‐stress‐change hypothesis, particularly seismicity rate reductions. However, current dynamic stress change hypotheses do not explain delayed earthquake triggering and Omori's law. Here I show numerically that if seismic waves can alter some frictional contacts in neighboring fault zones, then dynamic triggering might cause delayed triggering and an Omori‐law response. The hypothesis depends on faults following a rate/state friction law, and on seismic waves changing the mean critical slip distance (Dc) at nucleation zones.
Construction of a High-Density Microsatellite Genetic Linkage Map and Mapping of Sexual and Growth-Related Traits in Half-Smooth Tongue Sole (Cynoglossus semilaevis)

High-density genetic linkage maps of half-smooth tongue sole were developed with 1007 microsatellite markers, two SCAR markers and an F1 family containing 94. The female map was composed of 828 markers in 21 linkage groups, covering a total of 1447.3 cM, with an average interval 1.83 cM between markers. The male map consisted of 794 markers in 21 linkage groups, spanning 1497.5 cM, with an average interval of 1.96 cM. The female and male maps had 812 and 785 unique positions, respectively. The genome length of half-smooth tongue sole was estimated to be 1527.7 cM for the females and 1582.1 cM for the males. Based on estimations of the map lengths, the female and male maps covered 94.74 and 94.65% of the genome, respectively. The consensus map was composed of 1007 microsatellite markers and two SCAR markers in 21 linkage groups, covering a total of 1624 cM with an average interval of 1.67 cM. Furthermore, 159 sex-linked SSR markers were identified. Five sex-linked microsatellite markers were confirmed in their association with sex in a large number of individuals selected from different families. These sex-linked markers were mapped on the female map LG1f with zero recombination. Two QTLs that were identified for body weight, designated as We-1 and We-2, accounted for 26.39% and 10.60% of the phenotypic variation. Two QTLs for body width, designated Wi-1 and Wi-2, were mapped in LG4f and accounted for 14.33% and 12.83% of the phenotypic variation, respectively. Seven sex-related loci were mapped in LG1f, LG14f and LG1m by CIM, accounting for 12.5–25.2% of the trait variation. The results should prove to be very useful for improving growth traits using molecular MAS.
Emotion recognition by speech signals

For emotion recognition, we selected pitch, log energy, formant, mel-band energies, and mel frequency cepstral co-efﬁcients (MFCCs) as the base features, and added velocity/acceleration of pitch and MFCCs to form feature streams. We extracted statistics used for discriminative classiﬁers, assuming that each stream is a one-dimensional signal. Extracted features were analyzed by using quadratic discriminant analysis (QDA) and support vector machine (SVM). Experimental results showed that pitch and energy were the most important factors. Using two different kinds of databases, we compared emotion recognition performance of various classiﬁers: SVM, linear discriminant analysis (LDA), QDA and hidden Markov model (HMM). With the text-independent SUSAS database, we achieved the best accuracy of 96.3% for stressed/neutral style classiﬁcation and 70.1% for 4-class speaking style clas-siﬁcation using Gaussian SVM, which is superior to the previous results. With the speaker-independent AIBO database, we achieved 42.3% accuracy for 5-class emotion recognition.
A privacy-preserving Proximity Detection Method in social network

Proximity detection is a fundamental service in social network. Most of traditional proximity detection methods need users' locations for location server to find their neighbors by calculating relative distance among them. However, this mechanism has caused similarly serious concerns on the potential privacy leakage if server is untrusted. To solve this problem, we propose a proximity detection method which is based on wireless APs (Access Point). Each request user only needs to submit a nearby AP list to social network server, which called SNS in this paper. After that, the SNS finds neighbors of request users by judging whether their nearby AP lists have a common item. In addition, since most existing APs may be uneven distribution and have risks of the location leakage, we also present a distributed Beacon Node Rotating Mechanism---each user acts as a beacon node, which is similar to AP to be a reference of neighbor discovery in proximity detection. Our method works well without requiring user's location information, which enhances the security of location privacy. Finally, we experimentally demonstrate the effectiveness and feasibility of the method.
Immunohistochemical localization of guanylate cyclase within neurons of rat brain.

The immunohistochemical localization of guanylate cyclase [GTP pyrophosphate-lyase (cyclizing), EC 4.6. 1.2] has been examined in rat neocortex, caudate-putamen, and cerebellum by using specific monoclonal antibodies. Immunofluorescence could be seen within somata and proximal dendrites of neurons in the these regions. A nuclear immunofluorescence reaction to guanylate cyclase was characteristically absent. The staining pattern for guanylate cyclase was coincident with previously described localizations of cyclic GMP immunofluorescence within medium spiny neurons of the caudate-putamen and pyramidal cells of the neocortex. Cerebellar guanylate cyclase immunoreactivity was primarily confined to Purkinje cells and their primary dendrites, similar to the pattern reported for cyclic GMP-dependent protein kinase localization. Guanylate cyclase immunofluorescence was abolished when the monoclonal antibodies were exposed to purified enzyme prior to incubation of the tissue slices or when control antibody was substituted for the primary antibody. Immunohistochemical localization of cyclic AMP in these same tissues was readily distinguished from that of guanylate cyclase or cyclic GMP, showing uniform fluorescence throughout the cell bodies of neurons and glial elements.
Application of networked packet dropout compensation scheme in three tank system

Due to the bandwidth constraint and unreliable transmission of network, data packet dropout exists inevitably in networked control systems (NCSs). Networked three tank system with the controller designed without having the network in mind is analyzed and conclusions are drawn that network should be considered when designing NCSs. Next, NCSs with arbitrary but finite data packet dropout is modeled as switched linear system and sufficient conditions are presented on the stability of NCSs. The corresponding state feedback controller can be constructed by using the feasible solutions of a group of linear matrix inequalities. Simulation results for the three tank system are given, which prove the validity of the design method.
Participatory Action Research, Mental Health Service User Research, and the Hearing (our) Voices Projects

In this article I discuss participatory action research as a framework for enabling people diagnosed with mental health problems to carry out research and in doing so to promote health equity, citizenship, and social justice for people with a mental health diagnosis. The participatory approach to research aims to involve ordinary community members in generating practical knowledge about issues and problems of concern to them and through this promoting personal and social change. The article traces the development of participatory action research and describes its application in the mental health service user research movement. The Hearing (our) Voices projects, participatory research projects carried out in Calgary, Alberta by a group of people diagnosed with schizophrenia, are described to illustrate this approach to mental health research. Participation in research to promote health equity is about inclusion and about how marginalized people can claim full and equal citizenship as participants in and contributors to society.
RECONSTRUCTION OF 3 D LINEAR PRIMITIVES FROM MULTIPLE VIEWS FOR URBAN AREAS MODELISATION

In this paper, a new method for reconstruction of 3D segments from multiple images in urban areas environment is presented. Compared to previous algorithms, this one performs the matching of 2D segments in the Object Space through a sweep plane technique, thus avoiding the combinatorial exploration of all possible correspondences and handling images in a symmetric way. Furthermore, a method for reconstruction of 3D line from 2D lines, which takes into account the uncertainty on the parameters that define the 2D lines is also presented. It enables to get normalized residuals, which is used as a geometric criterion usable whatever the number of images is, to assess or reject potential correspondences. This criterion along with an unicity criterion is at the heart of the algorithm to prune the set of possible correspondences and to keep only reliable matches. Promising results are presented on simulated and real data. They show the ability of the algorithm to overcome detection errors in images and its robustness to occlusions in some images.
Hardware and software support for speculative execution of sequential binaries on a chip-multiprocessor

Chip-multiprocessors (CMP) are a promising approach for exploiting the increasing transistor count on a chip. To allow sequential applications to be executed on this architecture, current proposals incorporate hardware support to exploit speculative parallelism. However, these proposals either require re-compilation of the source program or use substantial hardware that tailors the architecture for speculative execution, thereby resulting in wasted resources when running parallel applications. In this paper, we present a CMP architecture that has hardware and software support for speculative execution of sequential binaries without the need for source re-compilation. The software support enables identification of threads from sequential binaries, while a modest amount of hardware allows register-level communication and enforces true inter-thread memory dependences. We evaluate this architecture and show that it is able to deliver high performance.
Preparing Future Faculty as Service-Learning Instructors: A Proposal to Integrate Instruction in Service-Learning Pedagogy into the VCU Preparing Future Faculty Program

This proposal provides a detailed plan for incorporating service-learning pedagogy into the VCU Preparing Future Faculty Program (http://graduate.vcu.edu/development/faculty.html). The VCU Preparing Future Faculty Program (PFF Program) is an optional training program offered by the VCU Graduate School to all graduate students enrolled at the university. The PFF Program involves a series of courses and professional development opportunities aimed at preparing doctoral students for the professoriate. Keywords service-learning, faculty, VCU, service, learning, community engagement, community, engagement, instructors, future faculty Disciplines Higher Education This white paper is available at VCU Scholars Compass: http://scholarscompass.vcu. edu/community_resources/26 Virginia Commonwealth University Preparing Future Faculty as Service-­‐Learning Instructors: A Proposal to Integrate Instruction in Service-Learning Pedagogy into the VCU Preparing Future Faculty Program
Suppression of Cortical NMDA Receptor Function Prevents Development of Orientation Selectivity in the Primary Visual Cortex

Selectivity to visual stimulus orientation is a basic cortical functional property believed to be crucial for normal vision. Maturation of this neuronal property requires neural activity. Still, it is unclear what might be the molecular basis for such activity-dependent processes and whether activity has an instructive or permissive role in development of orientation selectivity. There is strong evidence that the NMDA subtype of the glutamate receptor regulates activity-dependent mechanisms of ocular dominance plasticity during cortical development. For this reason, we have hypothesized that the NMDA receptor participates in activity-dependent mechanisms that sculpt orientation selectivity of cortical neurons. We used chronicin vivo infusion of antisense oligodeoxynucleotides (ODNs) to suppress NMDA receptor function in primary visual cortex during the period when orientation selectivity develops in ferrets. Chronic suppression of NMDA receptor function prevented the development of orientation and stimulus size selectivity in most cortical cells tested. In contrast, treatment with control sense or missense ODNs did not affect development of orientation selectivity, indicating specificity of effects. Importantly, antisense ODN treatment did not impair visually driven activity, which is required for development to occur. Moreover, orientation selectivity of cortical cells was not disrupted by antisense ODN treatment in mature animals, indicating developmental relevance of the effects. In conclusion, our findings document for the first time that cortical NMDA receptors are essential for the maturation of orientation selectivity. This result supports the notion that activity has an instructive role in sculpting the connections that underlie orientation selectivity in visual cortex.
INTRUSION DETECTION ALARM CORRELATION: A SURVEY

It is 17 years since Dorothy Denning proposed the first intrusion detection model. These systems have evolved rapidly from that model to present alarm correlation methods. Up to the moment, researchers have developed Intrusion Detection Systems (IDS) capable of detecting attacks in several environments. A boundlessness of methods for misuse detection as well as anomaly detection has been applied. Many of the technologies proposed are complementary to each other, since for different kind of environments some approaches perform better than others. Alert correlation methods try to cover the problem of the huge amount of both positive alarms as well as false alarms they report. The techniques used in this area aim to help the detectors discern between alarms generated by real attacks and legitimate traffic. Consequently, the amount of false alarms can be reduced easing the work of system administrators in relation to IDSs. Proper alert correlation methods also provide a higher confidence for incorporating these systems into organisations.