Miracle-dz/UniFAR-FTUs huggingface dataset:
The Dyadic Trust Scale: Toward Understanding Interpersonal Trust in Close Relationships.

Interpersonal trust is an aspect of close relationships which has been virtually ignored in social scientific research despite its importance as perceived by intimate partners and several family theorists. This article describes the development, validation, and correlates of the Dyadic Trust Scale, a tool designed for such research. It is unidimensional, reliable, relatively free ifrom response biases, and purposely designed to be consistent with conceptualizations qf trust from various perspectives. Dyadic trust proved to be associated with love and with intimacy of self-disclosure, especiallyjfor longer married partners. It varied by level of commitment, being lowest jor ex-partners and highest for those engaged and living together, for newlyweds, and for those married over 20 years. Partners reciprocated trust more than either love or depth qfself-disclosure. Future research could fruitfully relate dyadic trust to such issues as personal growth in relationships, resolving interpersonal conflict, and developing close relationships subsequent to separation or divorce.
Evidence for negative association of the chemokine receptor CCR5 d32 polymorphism with rheumatoid arthritis

Background: Ligands of chemokine receptor CCR5, including MIP-1α, MIP-1β, and RANTES, have been implicated in rheumatoid arthritis. Objective: To test whether CCR5 d32 polymorphism has a negative association with rheumatoid arthritis in a New Zealand cohort. Methods: 516 white patients with rheumatoid arthritis and 985 healthy controls were investigated by PCR amplification of the region flanking the known CCR5 d32 deletion, and the frequencies of CCR5 d32 compared. An early rheumatoid arthritis (ERA) cohort of 92 patients was followed prospectively for two years; disease severity and outcome were correlated with CCR5 d32 status. Results: 12 control subjects (1.2%) were homozygous for d32; no d32 homozygous rheumatoid patients were detected (p = 0.012); 56 patients (10.9%) were heterozygous for the d32 polymorphism (d32/wt), compared with 169 controls (17.2%) (p = 0.0011). The CCR5 d32 allele frequency was lower in the rheumatoid patients than in the controls (frequencies of 0.054 and 0.098, respectively; p = 3.7×10−5). The frequency of CCR5 d32 did not differ significantly according to disease severity or outcome in the prospective ERA cohort, nor with HLA-DRB1 status. Conclusions: This study provides further evidence for a protective effect of the CCR5 d32 variant on rheumatoid arthritis, consistent with a role for CCR5 and its ligands in disease pathogenesis.
Social support and stress factors in child maltreatment among alcoholic families

The relationships among social support, stress, child maltreatment and child aggressiveness in alcoholic families were investigated. Subjects were 62 fathers, 65 mothers, and 65 target children. Participants consisted of families in which the biological parents were either married or cohabiting, and in which there was a male child between the ages of 3 and 5 years. Individual difference factors assessed were extent of social support, stress, child maltreatment, and child aggressiveness. Based on prior research, 3 process models were proposed and tested against one another using path analysis. For this high risk alcoholic sample, results suggested that for fathers, social support and stress were each independent direct predictors of child maltreatment. In contrast, for mothers, social support was an indirect predictor of child maltreatment, and it buffered (moderated) the effect of stress on child maltreatment. For both fathers and mothers, lifetime alcohol problems predicted extent of child maltreatment. The data also indicated that child maltreatment influenced child aggressiveness.
Effect of bone marrow and low power lasers on fracture healing with destruction of both periosteum and endosteum in rabbits

Ten mature rabbits of local breed were used in this study; weighing between 1.5 to 1.75 kg and aged about 1–2 years. These animals were divided into two equal groups; in group A destruction of both periosteum and endosteum was done one centimeter from each side of mid-shaft femoral bone fracture, then sufficient amount of autogenously bone marrow was injected directly at the fracture site after immobilization by intramedullary pin. In group B a similar procedure was achieved as in group A, but in additional to that He-Ne infrared laser therapy was used for several sessions. The result of radiological findings indicated that, the fracture healing occurred within group B at fifteen weeks, whereas in group A the healing occurred at eighteen weeks after operation. The implantation of autologous bone marrow enhanced the fracture healing, whereas using of combinations of autologous bone marrow and He-Ne infrared laser therapy hastened the healing.
Contingent-Fee Lawyers and Their Clients: Settlement Expectations, Settlement Realities, and Issues of Control in the Lawyer-Client Relationship

One hallmark of Herb Jacob's analyses of criminal courts—extensive consideration of the interaction among actors—was less pronounced in his work on civil justice, which was more focused on institutions and the politics behind the laws that those institutions administered. In the research I report here, my emphasis is squarely on the actors in the civil justice process: the relationship between contingency-fee lawyers and clients, and how that relationship plays out in the settlement process. In Felony Justice, Herb, and his coauthor James Eisenstein, focus on the courtroom workgroup as a case-processing (and, largely, case-settling) machine; clients are relatively peripheral. In my account, clients, both current and future, are extremely important in how the lawyer works to settle cases. In the criminal court workgroup, lawyers do not worry about where future clients will come from because police secure them. In contrast, the contingency-fee lawyer has constant concerns about future clients, and I argue, this concern provides a control over lawyers that prior analyses of the contingency fee have largely missed. This dynamic also may explain why the courtroom workgroups, or court communities, found in the criminal courts do not appear to exist in the civil justice system.
Sequential updating of conditional probabilities on directed graphical structures

A directed acyclic graph or influence diagram is frequently used as a representation for qualitative knowledge in some domains in which expert system techniques have been applied, and conditional probability tables on appropriate sets of variables form the quantitative part of the accumulated experience. It is shown how one can introduce imprecision into such probabilities as a data base of cases accumulates. By exploiting the graphical structure, the updating can be performed locally, either approximately or exactly, and the setup makes it possible to take advantage of a range of well-established statistical techniques. As examples we discuss discrete models, models based on Dirichlet distributions and models of the logistic regression type.
On Integrity Constraints

We address the concept of a static integrity constraint as it arises in databases and Artificial Intelligence knowledge representation languages. Such constraints are meant to characterize the acceptable states of a knowledge base, and are used to enforce these legal states. We adopt the perspective that a knowledge base is a set of first order sentences, but argue, contrary to the prevailing view, that integrity constraints are epistemic in nature. Rather than being statements about the world, constraints are statements about what the knowledge base can be said to know. We formalize this notion in the language KFOPCE due to Levesque and define the concept of a knowledge base satisfying its integrity constraints. We investigate constraint satisfaction for closed world knowledge bases. We also show that Levesque's axiomatization of KFOPCE provides the correct logic for reasoning about integrity constraints. Finally, we show how to determine whether a knowledge base satisfies its constraints for a restricted, but important class of knowledge bases and constraints.
Effects of Asp-179 mutations in TEMpUC19 beta-lactamase on susceptibility to beta-lactams

To examine the effect of disruption of the salt bridge (between Arg-164 and Asp-179 [numbering of Ambler et al. (Biochem J. 267:269-272, 1991)]) that anchors the conserved omega-loop in class A beta-lactamases, we obtained mutant enzymes with each of the 19 other amino acid residues replacing Asp-179 in the TEM beta-lactamase encoded by pUC19 and studied the level of resistance to various beta-lactams conferred by each enzyme. All mutations of Asp-179 compromised the level of resistance to ampicillin, but most of them enhanced resistance to ceftazidime. In contrast, mutations of Asp-179 generally impaired the low levels of resistance to cefepime and aztreonam. One might expect to find clinical isolates with mutant TEM beta-lactamases with replacements of Asp-179 that express an expanded spectrum of resistance to beta-lactams including ceftazidime.
Comparison of clinician ratings to self reports of withdrawal during clonidine detoxification of opiate addicts.

Opiate withdrawal symptom ratings by trained clinicians were compared to self-reports of withdrawal discomfort during an outpatient, blinded, randomized clinical trial of clonidine detoxification for methadone maintained subjects. The randomized comparison group of subjects were detoxified using a slow tapering of methadone over 1 month. For all 39 subjects in this study the observer and self-ratings were substantially correlated (r = .75), but moderate levels of disagreement also occurred and the observer ratings were often lower. The difference in actual withdrawal scores and amount of shared variance between the observer and self-ratings were used as indices of disagreement for each individual subject. We found that detoxification failures had significantly less interrater agreement than the successes and that subjects who reported more distress than the observers noted were more likely to fail at detoxification. Subjects being detoxified using clonidine were more likely to fail at detoxification. Subjects being detoxified using clonidine were more likely to demonstrate this association between failure and disagreement on self versus observed withdrawal than were the methadone group. We concluded that self-reports are as important as observer ratings in assessing treatment efficacy and in the clinical use of clonidine for outpatient detoxification.
Operation of an electrical excited synchronous machine by contactless energy transfer to the rotor

This paper deals with the design, the set-up and the operation of a rotating contactless energy transfer system. The system is used to replace the slip rings of an electrical excited synchronous machine and transfer energy contactless on the rotor of the machine. Considering the application and the involved boundary conditions, the optimal topology of the compensation network and the optimal operation range is chosen. Furthermore, the required parameters of the contactless energy transfer system are calculated. Based on these calculations the system, consisting of the power electronics, the compensation network, the magnetic path and the control system, is set up. Finally, the calculations are verified by measurements.
iHR+: A mobile reciprocal job recommender system

The concept of reciprocal recommender is introduced to extend the traditional recommendation algorithm in a people-to-people recommender system where people are both the subjects and objects of the recommendation. In this paper, we designed and implemented a mobile reciprocal job recommender system, named iHR+. We first divided both the features of job seekers and jobs into two categories, one for self-description of a job seeker or a job, and the other presents the preferences of theirs. The bi-directional preference based on cross-similarity was then calculated to get a reciprocal recommendation.
Automatic detection of the words that will become unintelligible through Japanese accented pronunciation of English

This study examines automatic detection of the words that will be unintelligible if they are spoken by Japanese speakers of English. In our previous study [1], 800 English utterances spoken by Japanese speakers, which contained 6,063 words, were presented to 173 American listeners and correct perception rate was obtained for each spoken word. By using the results, in this study, we define the words that are very unintelligible through Japanese accented English pronunciation and also define the words that are rather unintelligible. Then, by using Classification And Regression Tree (CART) with linguistic features and lexical features only, we examine automatic detection of these words. After that, we introduce an additional feature derived by considering phonological and phonotactic differences between Japanese and English. This additional feature is found to be very effective and our proposed method can detect very unintelligible words and rather unintelligible words automatically with F1-scores of 65.44 and 70.45 [%], respectively. Index Terms: speech intelligibility, second language learning, foreign accent, ERJ database, CART
A model for the generation of social network graphs

In this paper we present and evaluate a social network model which exploits fundamental results coming from the social anthropology literature. Specifically, our model focuses on ego networks, i.e., the set of active social relationships for a given individual. The model is based on a function that correlates the level of emotional closeness of a social relationship to the time invested in it. The size of the social network is limited by the time budget a person invests in socializing. We exploit the model to define a constructive algorithm to generate synthetic social networks. Experimental results show that our model satisfies, on average, known properties of ego networks such as the size, the composition and the hierarchical structure.
High-impedance electromagnetic surfaces with a forbidden frequency band

A new type of metallic electromagnetic structure has been developed that is characterized by having high surface impedance. Although it is made of continuous metal, and conducts dc currents, it does not conduct ac currents within a forbidden frequency band. Unlike normal conductors, this new surface does not support propagating surface waves, and its image currents are not phase reversed. The geometry is analogous to a corrugated metal surface in which the corrugations have been folded up into lumped-circuit elements, and distributed in a two-dimensional lattice. The surface can be described using solid-state band theory concepts, even though the periodicity is much less than the free-space wavelength. This unique material is applicable to a variety of electromagnetic problems, including new kinds of low-profile antennas.
Learning Behavior-Grounded Event Segmentations

The event segmentation theory (EST) postulates that humans systematically segment the continuous sensorimotor information flow into events and event boundaries. The basis for the observed segmentation tendencies, however, remains largely unknown. We introduce a computational model that grounds EST in the interaction abilities of a system. The model learns events and event boundaries based on actively gathered sensorimotor signals. It segments the signals based on principles of probabilistic predictive coding and surprise. The implemented model essentially simulates, anticipates, and learns event progressions and event transitions online while interacting with the environment by means of dynamic, predictive Bayesian models. Besides the model’s event segmentation capabilities, we show that the learned encodings can be used for higherorder planning. Moreover, the encodings systematically conceptualize environmental interactions and they help to identify the factors that are critical for ensuring interaction success.
Nox2 and Nox4 mediate tumour necrosis factor-α-induced ventricular remodelling in mice

Reactive oxygen species (ROS) and pro‐inflammatory cytokines are crucial in ventricular remodelling, such as inflammation‐associated myocarditis. We previously reported that tumour necrosis factor‐α (TNF‐α)‐induced ROS in human aortic smooth muscle cells is mediated by NADPH oxidase subunit Nox4. In this study, we investigated whether TNF‐α‐induced ventricular remodelling was mediated by Nox2 and/or Nox4. An intravenous injection of murine TNF‐α was administered to a group of mice and saline injection was administered to controls. Echocardiography was performed on days 1, 7 and 28 post‐injection. Ventricular tissue was used to determine gene and protein expression of Nox2, Nox4, ANP, interleukin (IL)‐1β, IL‐2, IL‐6, TNF‐α and to measure ROS. Nox2 and Nox4 siRNA were used to determine whether or not Nox2 and Nox4 mediated TNF‐α‐induced ROS and upregulation of IL‐1β and IL‐6 in adult human cardiomyocytes. Echocardiography showed a significant increase in left ventricular end‐diastolic and left ventricular end‐systolic diameters, and a significant decrease in the ejection fraction and fractional shortening in mice 7 and 28 days after TNF‐α injection. These two groups of mice showed a significant increase in ventricular ROS, ANP, IL‐1β, IL‐2, IL‐6 and TNF‐α proteins. Nox2 and Nox4 mRNA and protein levels were also sequentially increased. ROS was significantly decreased by inhibitors of NADPH oxidase, but not by inhibitors of other ROS production systems. Nox2 and Nox4 siRNA significantly attenuated TNF‐α‐induced ROS and upregulation of IL‐1β and IL‐6 in cardiomyocytes. Our study highlights a novel TNF‐α‐induced chronic ventricular remodelling mechanism mediated by sequential regulation of Nox2 and Nox4 subunits.
A QoS supporting ad hoc network protocol combing admission based TDMA and 802.11 DCF

We propose a QoS supporting ad hoc network protocol which employs a hybrid approach utilizing both TDMA and 802.11 DCF. TDMA period provides contention free transmissions for QoS flows, and DCF period is used to provide contention-based access for best effort or low priority flows. TDMA time slots are assigned on admission basis in a distributed manner by utilizing network routing information and considering current assignment situation. In DCF period, frames are transmitted not to disturb the TDMA period. By combing TDMA and 802.11 DCF, the proposed ad hoc network is able to provide an efficient solution for QoS control in ad hoc networks. We use QualNet simulator to evaluate the proposed scheme.
Risky online behaviors among adolescents: Longitudinal relations among problematic Internet use, cyberbullying perpetration, and meeting strangers online

Background and aims This study aims to analyze the cross-sectional and longitudinal relationship between three major risky online behaviors during adolescence: problematic Internet use, cyberbullying perpetration, and meeting strangers online. An additional objective was to study the role of impulsivity–irresponsibility as a possible explanatory variable of the relationships between these risky online behaviors. Methods The study sample was 888 adolescents that completed self-report measures at time 1 and time 2 with an interval of 6 months. Results The findings showed a significant cross-sectional relationship between the risky online behaviors analyzed. At the longitudinal level, problematic Internet use at time 1 predicted an increase in the perpetration of cyberbullying and meeting strangers online at time 2. Furthermore, meeting strangers online increased the likelihood of cyberbullying perpetration at time 2. Finally, when impulsivity–irresponsibility was included in the model as an explanatory variable, the relationships previously found remained significant. Discussion These results extend traditional problem behavior theory during adolescence, also supporting a relationship between different risky behaviors in cyberspace. In addition, findings highlighted the role of problematic Internet use, which increased the chances of developing cyberbullying perpetration and meeting strangers online over time. However, the results suggest a limited role of impulsivity–irresponsibility as an explicative mechanism. Conclusions The findings suggest that various online risk activities ought to be addressed together when planning assessment, prevention and intervention efforts.
Accelerating ID-based Encryption based on Trapdoor DL using Pre-computation

The existing identity-based encryption (IBE) schemes based on pairings require pairing computations in encryption or decryption algorithm and it is a burden to each entity which has restricted computing resources in mobile computing environments. An IBE scheme (MYIBE) based on a trapdoor DL group for RSA setting is one of good alternatives for applying to mobile computing environments. However, it has a drawback for practical use, that the key generation algorithm spends a long time for generating a user’s private key since the key generation center has to solve a discrete logarithm problem. In this paper, we suggest a method to reduce the key generation time of the MY-IBE scheme, applying modified Pollard rho algorithm using significant pre-computation (mPAP). We also provide a rigorous analysis of the mPAP for more precise estimation of the key generation time and consider the parallelization and applying the tag tracing technique to reduce the wall-clock running time of the key generation algorithm. Finally, we give a parameter setup method for an efficient key generation algorithm and estimate key generation time for practical parameters from our theoretical analysis and experimental results on small parameters. Our estimation shows that it takes about two minutes using precomputation for about 50 days with 27 GB storage to generate one user’s private key using the parallelized mPAP enhanced by the tag tracing technique with 100 processors.
DeltaTree: A Practical Locality-aware Concurrent Search Tree

As other fundamental programming abstractions in energy-efficient computing, search trees are expected to support both high parallelism and data locality. However, existing highly-concurrent search trees such as red-black trees and AVL trees do not consider data locality while existing locality-aware search trees such as those based on the van Emde Boas layout (vEB-based trees), poorly support concurrent (update) operations. This paper presents DeltaTree, a practical locality-aware concurrent search tree that combines both locality-optimisation techniques from vEB-based trees and concurrency-optimisation techniques from non-blocking highly-concurrent search trees. DeltaTree is a $k$-ary leaf-oriented tree of DeltaNodes in which each DeltaNode is a size-fixed tree-container with the van Emde Boas layout. The expected memory transfer costs of DeltaTree's Search, Insert, and Delete operations are $O(\log_B N)$, where $N, B$ are the tree size and the unknown memory block size in the ideal cache model, respectively. DeltaTree's Search operation is wait-free, providing prioritised lanes for Search operations, the dominant operation in search trees. Its Insert and {\em Delete} operations are non-blocking to other Search, Insert, and Delete operations, but they may be occasionally blocked by maintenance operations that are sometimes triggered to keep DeltaTree in good shape. Our experimental evaluation using the latest implementation of AVL, red-black, and speculation friendly trees from the Synchrobench benchmark has shown that DeltaTree is up to 5 times faster than all of the three concurrent search trees for searching operations and up to 1.6 times faster for update operations when the update contention is not too high.