Miracle-dz/UniFAR-FTUs huggingface dataset:
Semantic Conflicts Reconciliation as a Viable Solution for Semantic Heterogeneity Problems

t—Achieving semantic interoperability is a current challenge in the field of data integration in order to bridge semantic conflicts occurring when the participating sources and receivers use different or implicit data assumptions. Providing a framework that automatically detects and resolves semantic conflicts is considered as a daunting task for many reasons, it should preserve the local autonomy of the integrated sources, as well as provides a standard query language for accessing the integrated data on a global basis. Many existing traditional and ontology-based approaches have tried to achieve semantic interoperability, but they have certain drawbacks that make them inappropriate for integrating data from a large number of participating sources. We propose semantic conflicts reconciliation (SCR) framework, it is ontology-based system in which all data semantics explicitly described in the knowledge representation phase and automatically taken into account through the interpretation mediation service phase, so conflicts detected and resolved automatically at the query time.
Towards an efficient type-reduction method for interval type-2 fuzzy logic systems

This paper introduces an alternative type-reduction method for interval type-2 (IT2) fuzzy logic systems (FLSs), with either continuous or discrete secondary membership function. Unlike the Karnik-Mendel type reducer which is based on the wavy-slice representation of a type-2 fuzzy set, the proposed type reduction algorithm is developed using the vertical-slice representation. One advantage of the approach is the output of the type reducer can be expressed in closed form, thereby providing a tool for the theoretical analysis of IT2 FLSs. The computational complexity of the proposed method is also lower than the uncertainty bounds method and the enhanced Karnik-Mendel method. To assess the feasibility of the proposed type-reducer, it is used to calculate the output of an IT2 fuzzy logic controller (FLCs). Results from a simulated coupled tank experiment demonstrated that IT2 FLCs that employ the proposed type reduction algorithm share similar robustness properties as FLCs based on the Karnik-Mendel type reducer.
TRPC channels are necessary mediators of pathologic cardiac hypertrophy

Pathologic hypertrophy of the heart is regulated through membrane-bound receptors and intracellular signaling pathways that function, in part, by altering Ca2+ handling and Ca2+-dependent signaling effectors. Transient receptor potential canonical (TRPC) channels are important mediators of Ca2+-dependent signal transduction that can sense stretch or activation of membrane-bound receptors. Here we generated cardiac-specific transgenic mice that express dominant-negative (dn) TRPC3, dnTRPC6, or dnTRPC4 toward blocking the activity of the TRPC3/6/7 or TRPC1/4/5 subfamily of channels in the heart. Remarkably, all three dn transgenic strategies attenuated the cardiac hypertrophic response following either neuroendocrine agonist infusion or pressure-overload stimulation. dnTRPC transgenic mice also were partially protected from loss of cardiac functional performance following long-term pressure-overload stimulation. Importantly, adult myocytes isolated from hypertrophic WT hearts showed a unique Ca2+ influx activity under store-depleted conditions that was not observed in myocytes from hypertrophied dnTRPC3, dnTRPC6, or dnTRPC4 hearts. Moreover, dnTRPC4 inhibited the activity of the TRPC3/6/7 subfamily in the heart, suggesting that these two subfamilies function in coordinated complexes. Mechanistically, inhibition of TRPC channels in transgenic mice or in cultured neonatal myocytes significantly reduced activity in the calcineurin–nuclear factor of activated T cells (NFAT), a known Ca2+-dependent hypertrophy-inducing pathway. Thus, TRPC channels are necessary mediators of pathologic cardiac hypertrophy, in part through a calcineurin–NFAT signaling pathway.
Different types of classifiers combination based on choquet integral

Choquet integral, one of ensemble operators, is used widely in multiple classifiers combination when we consider the interaction between classifiers. The diversity of combination system can affect the classification accuracy and the generalization ability of the combination system. In this paper, two different types of classifiers, neural network and fuzzy decision tree, are introduced in combination system (called mix-combination system). Genetic algorithm is used to determine a non-additive set function μ which is the key issue before Choquet integral combining multiple classifiers. Some simulated experiments are run in iris, pima, cmc three datasets. The experiment results show the mix-combination systems have better performance than the combination systems only including three neural network classifiers or three fuzzy decision tree classifiers.
A latching bistable microswitch using dual-beam electrothermal actuation

This paper reports on design and mechanical characteristic of a latching bistable microswitch with a dual-beam electrothermal actuator. As designed two novel contact pair, a stable state can be acquired without continuous power. The bistable mechanical characteristic of the switch is measured by a bonding strength tester. Testing results are in good agreement with theoretic analysis. The optical micrographs clearly indicate that the switch can stay latched in its two states. This novel design provides an excellent alternative for power and communication applications.
The Nature and Function of Professional Support Networks for Teachers of English Language Learners

The Nature and Function of Professional Support Networks for Teachers of English Language Learners Betsy Lynn Ferguson Department of Educational Leadership and Foundations, BYU Doctor of Education The English learner (EL) population in the United States continues to grow. To improve their pedagogy in working with this population, many educators have received training in English as a Second Language (ESL), but the gap between ELs and their native English speaking peers persists. When teachers engage as members of professional support networks, they are more likely to successfully implement the strategies learned in their ESL professional development (Echevarria, Richards-Tutor, Chinn, & Ratleff, 2011). This study considered the nature and function of the professional support network of a district’s ESL-endorsed teachers. Using network theory methods, 257 teachers and other school personnel responded to an online survey. Through an understanding of the professional support needs of these teachers, whom they contact for support, and the nature of those ties (in terms of reciprocity, homophily, frequency, influence, and relational embeddedness), district and school administrators can be better positioned to enhance successful professional support networks and facilitate the implementation of effective teacher practices learned through professional development. Based on the findings, practical suggestions are given to help district administrators strengthen these professional support networks with the intent to maintain compliance with governmental standards, help schools to meet federally and state-mandated progress requirements, and have a positive academic impact upon English-language learning students.
Integrating a youth participation model in a youth mental health service: Challenges and lessons learned

ABSTRACT Youth participation in mental health settings is fundamental to service design and delivery, and is beneficial for the young people involved as well as the organisation. This paper presents the findings of an evaluation of a youth participation model where tiered participation was attempted in a clinical youth mental health setting. To inform the ongoing development and improvement of a youth participation model, an evaluation was conducted consisting of three focus groups with the youth consultants, consultations with management about the implementation of the tiered participation model, and a review of records. The purpose of this evaluation was to identify possible barriers to implementation early on so these could be addressed and a youth participation model that meets the needs of all key stakeholders could be developed. The findings of this evaluation and the way in which these findings informed the model's development are discussed.
CHILDREN’S MEMORY FOR PAIN: EXPERIMENTAL INVESTIGATIONS OF THE ROLE OF ANXIETY IN CHILDREN’S PAIN MEMORIES AND THE INFLUENCE OF PAIN MEMORIES ON SUBSEQUENT PAIN EXPERIENCE

Objective: To investigate the impact of experimentally manipulated state anxiety and the influence of anxiety-related variables on children’s memories for pain. Methods: One hundred ten children (60 boys) between the ages of 8 and 12 years were randomly assigned to complete a state anxiety induction task or a control task. Following experimental manipulation, children completed a laboratory pain task, pain ratings, and questionnaire measures of anxiety-related variables. Two weeks later, children provided pain ratings based on their memories of the pain task. Results: The experimental manipulation effectively induced state anxiety; however, pain memories did not differ between groups. Irrespective of group assignment, children with higher state anxiety had more negative pain memories. State anxiety uniquely predicted children’s pain memories over and above other well established factors. Anxiety sensitivity and trait anxiety were significant predictors of recalled pain-related fear. Conclusions: These data highlight the importance of anxiety in the development of children’s memories for pain.
Relationships between quantitative spinal cord MRI and retinal layers in multiple sclerosis

Objective: To assess relationships between spinal cord MRI (SC-MRI) and retinal measures, and to evaluate whether these measures independently relate to clinical disability in multiple sclerosis (MS). Methods: One hundred two patients with MS and 11 healthy controls underwent 3-tesla brain and cervical SC-MRI, which included standard T1- and T2-based sequences and diffusion-tensor and magnetization-transfer imaging, and optical coherence tomography with automated segmentation. Clinical assessments included visual acuity (VA), Expanded Disability Status Scale, MS functional composite, vibration sensation threshold, and hip-flexion strength. Regions of interest circumscribing SC cross-sections at C3-4 were used to obtain cross-sectional area (CSA), fractional anisotropy (FA), perpendicular diffusivity (λ⊥), and magnetization transfer ratio. Multivariable regression assessed group differences and SC, retinal, and clinical relationships. Results: In MS, there were correlations between SC-CSA, SC-FA, SC-λ⊥, and peripapillary retinal nerve fiber layer (pRNFL) (p = 0.01, p = 0.002, p = 0.001, respectively) after adjusting for age, sex, prior optic neuritis, and brain atrophy. In multivariable clinical models, when SC-CSA, pRNFL, and brain atrophy were included simultaneously, SC-CSA and pRNFL retained independent relationships with low-contrast VA (p = 0.04, p = 0.002, respectively), high-contrast VA (p = 0.06, p = 0.008), and vibration sensation threshold (p = 0.01, p = 0.05). SC-CSA alone retained independent relationships with Expanded Disability Status Scale (p = 0.001), hip-flexion strength (p = 0.001), and MS functional composite (p = 0.004). Conclusions: In this cross-sectional study of patients with MS, correlations exist between SC-MRI and retinal layers, and both exhibit independent relationships with clinical dysfunction. These findings suggest that the SC and optic nerve reflect ongoing global pathologic processes that supplement measures of whole-brain atrophy, highlighting the importance of combining measures from unique compartments to facilitate a thorough examination of regional and global disease processes that contribute to clinical disability in MS.
Social Informatics in Education

This article lies at the crossroads of education, technology, and culture, examining the assumption that societal cultures can exert influence on educational technologies. It is informed by a hypothesis that educational technology is not merely a matter of education and technology alone but is also about the societal culture wherein that educational technology is implemented. The study explores those societally and culturally informed factors that promote the rejection of educational technologies. It answers the research question: To what extent do societal cultures challenge educational technologies? This question is addressed by carrying out a quantitative enquiry into Israel and Saudi Arabia. Having analyzed the collected data using an exploratory factor analysis, societally and culturally directed factors were revealed that flew in the face of educational technologies. The theoretical proposition that could be drawn from this is that educational technologies can be rejected not based on educational or technological interests alone but rather based on societally and culturally promoted anxieties. The recommendation for research policy is thus that, when researching an educational technology, there should be constant consideration of how societally and culturally compatible it is with the wider societal culture wherein it will be or already is situated.
Normative and Motivational Determinants of Reported Religious Experience in Two Baptist Samples

The eflects of both normative expectation and personal religious motivation on reported religious experience were studied in two Baptist samples. Subjects were categorized into extrinsic and intrinsic types according to their pattern of responses to Allport's Religious Orientation Scale. The dependent measure was reported religious experience as measured by Hood's Religious Experience Episodes Measure (REEM). In both samples intrinsically oriented subjects were more likely than the extrinsically oriented to report religious experiences. Southern Baptists as a group were more likely to report religious experiences than American Baptists. There was no interaction between religious membership and religious orientation. These data support the validity of the REEM as a measure that is sensitive to both sociological and psychological factors. Two recent studies Hood, (1970, 1971) have demonstrated a relationship between religious orientation and a measure of reported religious experience, the Religious Experience Episodes Measure (REEM). Employing Allport's (1966; Allport & Ross, 1967) intrinsic and extrinsic typology, Hood demonstrated that intrinsically motivated persons were more likely to report having had religious experiences than were extrinsically motivated persons. Hood's basic approach is consistent with the tendency of social scientists to view religious experience from a purely psychological perspective as evident in both classic (James, 1902; Jung, 1936; Leuba, 1925; Starbuck, 1899) and current works (Arieti, 1967; King, 1968; Maslow, 1954; Van Kaam, 1964). However, while the purely psychological perspective is clearly relevant and empirically fruitful, it tends to ignore the sociological fact that some situations are organized toward producing reported religious experience as simple normative expectations. Glock and Stark (1965:152) have empha-
Improving security in data-centric storage for wireless sensor networks

This paper proposes a novel mechanism to provide with security to existing Data-Centric Storage (DCS) solutions for Wireless Sensor Networks. The goal is to achieve a high security level without modifying standard DCS premises or increasing the network overhead. This means we just use the messages an operations already defined by DCS solutions. Our goal is to fulfil two security requirements: (i) only legitimate nodes for an application should be able to access the information of that application, and (ii) avoid long-term Denial of Service attacks targeting an application that operates in the network. Toward this end we define two different solutions depending on whether the sensor nodes in the network are resource-limited or powerful. We run extensive simulations and discuss the efficiency of the proposed solution under two different DCS solutions: GHT that proposes to use a single and static storage node per application, and STARR-DCS that uses multiple storage nodes per application that in addition change over the time. Based on the obtained results and discussion we conclude that changing replication nodes over the time is by itself a smart approach to avoid long-term attacks.
Control loops for a Coupled Dark State Magnetometer

The Coupled Dark State Magnetometer (CDSM) is a new type of scalar magnetometer, which is based on two-photon spectroscopy of free alkali atoms. CDSM measurements do not depend on the sensor temperature. Furthermore, it has no dead zones, no moving parts and no excitation coils at the sensor. This paper deals with the control loops which are developed for tracking the magnetic field dependent resonances and for avoiding drifts of the carrier frequency of the laser diode used as excitation light source. It is the first time that a magnetometer of this type is operated in a control loop. The implementation of several functional blocks in a Field Programmable Gate Array (FPGA) is a first step towards miniaturization for a future space application. The magnetic field magnitude is measured by a frequency. Therefore, the Direct Digital Synthesis (DDS) principle is used for accurate signal generation. A noise floor measurement has shown no 1/f dependence near DC and 70pT/√Hz up to the corner frequency of 3Hz for which the CDSM is designed.
Primary and Cognitive User Cooperative Spectrum Sensing in OFDMA Air Interface

The cooperation among cognitive users (CUs) is considered as an efficient means to improve the primary user (PU) sensing in cognitive radio environment. Almost all previous related works employ the cooperation among CUs for PU activity detection whereas in this paper, the notions of cooperation among PUs and CUs are applied. This is achieved by allocating the available PU power among OFDMA subcarriers with two objectives 1. Guaranteed spectral efficiency to PU 2. Maximize detection of PU presence to a CU. The dynamic nature of channel parameters significantly improves the detection probability of CU with a minor reduction in PU's spectral efficiency. Analysis shows that a reduction of 5% spectral efficiency could be utilized to gain more than 15% in terms of the correct detection probability. The convexity of the formulated problem is analyzed. Finally, we propose deploying our scheme with CU collaborative sensing schemes to improve the detection probability in the low signalto- noise ratio regions.
Homdyn Study for the Lcls RF Photo-Injector

The authors report the results of a recent beam dynamics study, motivated by the need to redesign the LCLS photoinjector, that led to the discovery of a new effective working point for a split RF photoinjector. The HOMDYN code, the main simulation tool adopted in this work, is described together with its recent improvements. The new working point and its LCLS application is discussed. Validation tests of the HOMDYN model and low emittance predictions, 0.3 mm-mrad for a 1 nC flat top bunch, are performed with respect to the multi-particle tracking codes ITACA and PARMELA.
Double-differential recording and AGC using amplifier ASIC

An automatic gain control circuit (AGC) and a circuit for double-differential (DD) recording are implemented using an integrated variable gain circuit. The integrated circuit enables gain trimming by variation of the chip clock timing. A microcontroller is used to provide the clocks. AGC and DD setups with a simple 2-chip and 3-chip system respectively are realized. Measured results confirm a gain tuning range of 22.7 dB and interference suppression of 41.4 dB in the balanced DD arrangement, and power consumption of 318 µW.
Abstraction-based misuse detection: high-level specifications and adaptable strategies

A typical misuse detection system contains: (1) a language for describing known techniques (called misuse signatures) used by attackers to penetrate the target system, and (2) monitoring programs for detecting the presence of an attack based on the given misuse signatures. In most of the systems appearing in the literature, however, the description of misuses is often in terms of a low level language (i.e. in terms of audit records of the target system), that either has limited expressiveness or is difficult to use. Moreover the monitoring algorithms are often fixed and do not adapt to a changing operating environment or to objectives of the site security officer. To overcome these limitations, the paper defines a high level language for abstract misuse signatures (MuSigs). Due to the use of high level concepts, a MuSig can represent misuses in a simple form and yet with high expressiveness. The paper also introduces a set of system directives provided by the system designer in support of high level concepts. The paper then discusses ways to translate MuSigs into monitoring program with the help of the system directives. The adaptability of the system is obtained by the ability for the site security officer to add or delete system directives to change the behavior of the monitoring program.
Comprehensive aligned sequence construction for automated design of effective probes (CASCADE-P) using 16S rDNA

MOTIVATION Prokaryotic organisms have been identified utilizing the sequence variation of the 16S rRNA gene. Variations steer the design of DNA probes for the detection of taxonomic groups or specific organisms. The long-term goal of our project is to create probe arrays capable of identifying 16S rDNA sequences in unknown samples. This necessitated the authentication, categorization and alignment of the >75 000 publicly available '16S' sequences. Preferably, the entire process should be computationally administrated so the aligned collection could periodically absorb 16S rDNA sequences from the public records. A complete multiple sequence alignment would provide a foundation for computational probe selection and facilitates microbial taxonomy and phylogeny. RESULTS Here we report the alignment and similarity clustering of 62 662 16S rDNA sequences and an approach for designing effective probes for each cluster. A novel alignment compression algorithm, NAST (Nearest Alignment Space Termination), was designed to produce the uniform multiple sequence alignment referred to as the prokMSA. From the prokMSA, 9020 Operational Taxonomic Units (OTUs) were found based on transitive sequence similarities. An automated approach to probe design was straightforward using the prokMSA clustered into OTUs. As a test case, multiple probes were computationally picked for each of the 27 OTUs that were identified within the Staphylococcus Group. The probes were incorporated into a customized microarray and were able to correctly categorize Staphylococcus aureus and Bacillus anthracis into their correct OTUs. Although a successful probe picking strategy is outlined, the main focus of creating the prokMSA was to provide a comprehensive, categorized, updateable 16S rDNA collection useful as a foundation for any probe selection algorithm.