Miracle-dz/UniFAR-FTUs huggingface dataset:
EMOTIONAL ABUSE AND CONTROLLING BEHAVIORS IN HETEROSEXUAL RELATIONSHIPS: THE ROLE OF EMPLOYMENT AND ALCOHOL USE FOR WOMEN AND THEIR PARTNERS

The purpose of this study is to examine the role of economic resources, status compatibility, and alcohol consumption on forms of nonphysical abuse, such as controlling and emotional abuse. Specifically, we focus on the connections between women's employment, the employment of their partners, alcohol use, and women's risk of abuse in intimate relationships. We hypothesize that women in intimate relationships with men will experience more emotional abuse to the extent that they are economically vulnerable. Moreover, abuse should increase if their employment status, in relation to that of their partner, challenges the man's marital power. Moreover, alcohol use by women and/or their partners is also predicted to be associated with emotional abuse. We find some support for assertions that socioeconomic deprivation, as well as challenges to men's masculinity, is associated with emotionally abusive male partners. However, the prevalence and amount of alcohol use by the male partner stands out as the most consistent predictor of emotional abuse in heterosexual relationships.
Facilitating Efficient Object Tracking in Large-Scale Traceability Networks

With recent advances in technologies such as radio-frequency identification and new standards such as the electronic product code, large-scale traceability is emerging as a key differentiator in a wide range of enterprise applications (e.g. counterfeit prevention, product recalls and pilferage reduction). Such traceability applications often need to access data collected by individual enterprises in a distributed environment. Traditional centralized approaches (e.g. data warehousing) are not feasible for these applications due to their unique characteristics such as large volume of data and sovereignty of the participants. In this paper, we describe an approach that enables applications to share traceability data across independent enterprises in a pure peer-to-peer (P2P) fashion. Data are stored in local repositories of participants and indexed in the network based on structured P2P overlays. In particular, we present a generic approach for efficiently indexing and locating individual objects in large, distributed traceable networks, most notably, in the emerging environment of the internet of things. The results from extensive experiments show that our approach scales well in both data volume and network size. A real-world returnable assets management system is also developed using the proposed techniques to demonstrate its feasibility.
First Language Attrition, Use and Maintenance: The case of German Jews in anglophone countries

1. Abbreviations 2. Preface 3. Introduction 4. 1. Language contact, language change, and language attrition 5. 2. The situation of German Jews: A historical overview 6. 3. The study 7. 4. Morphology: NP-inflection 8. 5. Morphology II: VP inflection 9. 6. Syntax 10. 7. Predictor variables 11. Conclusion 12. Notes 13. References 14. Appendixes 15. Index
Fault-tolerant RPL through context awareness

The Routing Protocol for Low power and Lossy Networks (RPL) has recently been considered as the standard routing protocol for wireless sensor networks (WSN). RPL builds routes between nodes based on specific metrics that reflect arbitrary optimization objectives through the RPL Objective Functions (OFs). In this paper, we propose a Context-Aware Objective Function (CAOF) that takes into account the limited resources of the sensor nodes and their temporal changes. The proposed CAOF optimizes the power exploitation as a critical resource by taking the battery level into consideration in the routing decision. Simulation results show that our CAOF increases the network lifetime by up to 44% compared to non-context-aware OFs of RPL. Furthermore, CAOF ensures more fairness in the exploitation of batteries of the different nodes in the network more than non-context-aware OFs. In addition CAOF enhances the delivery ratio when compared with RPL non-context-aware OFs.
Near Neighbor Search in Large Metric Spaces

Given user data, one often wants to find approximate matches in a large database. A good example of such a task is finding images similar to a given image in a large collection of images. We focus on the important and technically diffcult case where each data element is high dimensional, or more generally, is represented by a point in a large metric spaceand distance calculations are computationally expensive. In this paper we introduce a data structure to solve this problem called a GNAT { Geometric Near-neighbor Access Tree. It is based on the philosophy that the data structure should act as a hierarchical geometrical model of the data as opposed to a simple decomposition of the data that does not use its intrinsic geometry. In experiments, we find that GNAT's outperform previous data structures in a number of applications. Keywords { near neighbor, metric space, approximate queries, data mining, Dirichlet domains, Voronoi regions
Sketching mesh deformations

Techniques for interactive deformation of unstructured polygon meshes are of fundamental importance to a host of applications. Most traditional approaches to this problem have emphasized precise control over the deformation being made. However, they are often cumbersome and unintuitive for non-expert users. In this paper, we present an interactive system for deforming unstructured polygon meshes that is very easy to use. The user interacts with the system by sketching curves in the image plane. A single stroke can define a free-form skeleton and the region of the model to be deformed. By sketching the desired deformation of this reference curve, the user can implicitly and intuitively control the deformation of an entire region of the surface. At the same time, the reference curve also provides a basis for controlling additional parameters, such as twist and scaling. We demonstrate that our system can be used to interactively edit a variety of unstructured mesh models with very little effort. We also show that our formulation of the deformation provides a natural way to interpolate between character poses, allowing generation of simple key framed animations.
Analysis of Human Weight Perception for Sudden Weight Changes during Lifting Task Using a Force Display Device

The main purpose of this study is to apply the mechanism of human weight perception to multimedia applications. When a start and the goal points are given in the human motion, the velocity profile has a unimodal profile including the acceleration and deceleration zones. In such case, it is widely said that the motion control becomes more accurate in the deceleration zone for the final approach. Hence, it is assumed that the sensing ability also improves. This study challenges to confirm the hypothesis with weight stimuli generated by a force display device. As a preliminary experiment, this study confirms that our device enables the evaluation of human perception by tracing Weber's experiment in virtual reality; the obtained difference threshold (DL: Differenz Limen) almost agrees with the previous results. The difference threshold is a very important factor, which means perceptual threshold for weight changes. We further attempt to clarify the mechanism of the human weight perception for sudden weight changes during the lifting process. Based on individual lifting profiles, this study suddenly changes the load force in the two zones, and examines the difference thresholds of each subject. The results demonstrate that the human weight perception tends to become more sensitive in the deceleration zone during the lifting process. These results also imply the effectiveness of force display devices for physical experiments.
A DFA-Based Functional Proxy Re-Encryption Scheme for Secure Public Cloud Data Sharing

In this paper, for the first time, we define a general notion for proxy re-encryption (PRE), which we call deterministic finite automata-based functional PRE (DFA-based FPRE). Meanwhile, we propose the first and concrete DFA-based FPRE system, which adapts to our new notion. In our scheme, a message is encrypted in a ciphertext associated with an arbitrary length index string, and a decryptor is legitimate if and only if a DFA associated with his/her secret key accepts the string. Furthermore, the above encryption is allowed to be transformed to another ciphertext associated with a new string by a semitrusted proxy to whom a re-encryption key is given. Nevertheless, the proxy cannot gain access to the underlying plaintext. This new primitive can increase the flexibility of users to delegate their decryption rights to others. We also prove it as fully chosen-ciphertext secure in the standard model.
ION CHANNELS , RECEPTORS AND TRANSPORTERS 5 , 6-EET potently inhibits T-type calcium channels : implication in the regulation of the vascular tone

T-type calcium channels (T-channels) are important actors in neuronal pacemaking, in heart rhythm, and in the control of the vascular tone. T-channels are regulated by several endogenous lipids including the primary eicosanoid arachidonic acid (AA), which display an important role in vasodilation via its metabolism leading to prostanoids, leukotrienes, and epoxyeicosatrienoic acids (EETs). However, the effects of these latter molecules on T-currents have not been investigated. Here, we describe the effects of the major cyclooxygenase, lipoxygenase, and cytochrome P450 epoxygenase products on the three human recombinant T-channels (Cav3.1, Cav3.2, and Cav3.3), as compared to those of AA. We identified the P450 epoxygenase product, 5,6-EET, as a potent physiological inhibitor of Cav3 currents. The effects of 5,6EET were observed at sub-micromolar concentrations (IC50=0.54 μM), occurred in the minute range, and were reversible. The 5,6-EET inhibited the Cav3 currents at physiological resting membrane potentials mostly by inducing a large negative shift in their steady-state inactivation properties. Using knockout mice for Cav3.1 and Cav3.2, we demonstrated that the vasodilation of preconstricted mesenteric arteries induced by 5,6-EETwas specifically impaired in Cav3.2 knockout mice. Overall, our results indicate that inhibition of Cav3 currents by 5,6-EET is an important mechanism controlling the vascular tone.
A visual feedback-based time-optimal motion policy for capturing an unpredictable evader

In this paper, we address the pursuit–evasion problem of capturing an unpredictable omnidirectional evader using a differential drive robot (DDR) in an obstacle-free environment. We present three main contributions. (1) We provide a state feedback-based time-optimal motion policy for the DDR. The motion policy is based on a partition of the state space. One main contribution of this paper is to provide algebraic equations of the regions’ boundaries of this partition in terms of the state-space coordinates. (2) We estimate the state of the evader based on images using the one-dimensional trifocal tensor. We propose a new formulation of the estimation of the evader's state relative to the pursuer. (3) We present a bound, for conventional cameras, over the pursuer's field of view that guarantees that, if the evader is initially visible, it will remain visible (inside the camera's view) regardless of its motion strategy, until the capture condition is achieved. We also present an implementation of the pursuer's motion policy, the estimation of the evader's state and also present simulation results of the pursuit/evasion game.
Enforcement Spillovers: Lessons from Strategic Interactions in Regulation and Product Markets

We explore enforcement spillovers, in which sanctions at one entity influence behavior at other entities. We model spillovers arising from a regulatory channel and from a channel not previously emphasized: product market interactions. Our model motivates empirical hypotheses, which we test using data from manufacturers subject to the Clean Water Act. We find that penalties create positive spillovers for other facilities facing the same regulatory authority, such that enforcement actions reduce pollution at facilities in the same regulatory jurisdiction. However, penalties generate negative spillovers for facilities in the same industry facing a different authority, such that enforcement actions increase pollution at facilities in the same industry but facing a different regulator. Reductions in pollution in a state issuing a fine are about 50 percent offset by increases in pollution in nearby states. Negative spillovers to entities outside of the jurisdiction can be thought of as enforcement leakage.
Peripheral development of cranial nerves in a cyclostome, Lampetra japonica: morphological distribution of nerve branches and the vertebrate body plan

The development of peripheral nerves was studied in a Japanese marine lamprey, Lampetra japonica, in whole‐mount and sectioned embryos from hatching until the earliest ammocoete. Nerve fibers were immunohistochemically stained with a monoclonal antibody against acetylated tubulin. Branchiomeric nerves first developed in a simple metamerical pattern, each associated with a single pharyngeal arch. Of those, the ophthalmicus profundus, maxillomandibular, and facial nerves later developed a highly modified branching pattern, whereas postotic nerves were less specialized and showed the stereotypical branching pattern of post‐trematic nerves. The early distribution of melanocytes in myotome‐free space largely overlapped with the morphology of the cranial nerve and ganglion anlage, and resembled the cephalic crest cell distribution pattern in the early chick embryo. It was suggested that the cephalic crest cell distribution, which is also inhibited by myotomes in the lamprey, would be the common basis for branchiomeric nerve patterning. In later development of the lamprey embryo, myotomes 1 through 3, which had originated in the postotic region, grew rostrally into the preotic region, laterally covering all of the branchiomeric nerves. This results in a deep position of the cranial nerves, which is not observed in gnathostomes. J. Comp. Neurol. 384:483–500, 1997. © 1997 Wiley‐Liss, Inc.
On the use of Bayesian decision theory for issuing natural hazard warnings

Warnings for natural hazards improve societal resilience and are a good example of decision-making under uncertainty. A warning system is only useful if well defined and thus understood by stakeholders. However, most operational warning systems are heuristic: not formally or transparently defined. Bayesian decision theory provides a framework for issuing warnings under uncertainty but has not been fully exploited. Here, a decision theoretic framework is proposed for hazard warnings. The framework allows any number of warning levels and future states of nature, and a mathematical model for constructing the necessary loss functions for both generic and specific end-users is described. The approach is illustrated using one-day ahead warnings of daily severe precipitation over the UK, and compared to the current decision tool used by the UK Met Office. A probability model is proposed to predict precipitation, given ensemble forecast information, and loss functions are constructed for two generic stakeholders: an end-user and a forecaster. Results show that the Met Office tool issues fewer high-level warnings compared with our system for the generic end-user, suggesting the former may not be suitable for risk averse end-users. In addition, raw ensemble forecasts are shown to be unreliable and result in higher losses from warnings.
A novel secure hash algorithm for public key digital signature schemes

Hash functions are the most widespread among all cryptographic primitives, and are currently used in multiple cryptographic schemes and in security protocols. This paper presents a new Secure Hash Algorithm called (SHA(192). It uses a famous secure hash algorithm given by the National Institute of Standard and Technology (NIST). The basic design of SHA( 192 is to have the output length of 192.The SHA(192 has been designed to satisfy the different level of enhanced security and to resist the advanced SHA attacks. The security analysis of the SHA(192 is compared to the old one given by NIST and gives more security and excellent results as shown in our discussion. In this paper the digital signature algorithm which is given by NIST has been modified using the proposed algorithms SHA(192. Using proposed SHA(192 hash algorithm a new digital signature schemes is also proposed. The SHA(192 can be used in many applications such s public key cryptosystem, digital signcryption, message authentication code, random generator and in security architecture of upcoming wireless devices like software defined radio etc.
Integrating fault-tolerance and elasticity in a distributed data stream processing system

Recently there has been an increasing interest in building distributed platforms for processing of fast data streams. In this demonstration, we highlight the need for elasticity in distributed data stream processing systems and present Enorm, a data stream processing platform with focus on elasticity, i.e. the ability to dynamically scale resource usage according to the runtime workload fluctuations. In order to achieve dynamic scaling with minimal overhead and latency, we use an integrated approach for both fault-tolerance and elasticity. The idea is that both fault-tolerance and elasticity essentially require replicating or migrating computation states among different nodes. Integrating and sharing the state management operations between the two modules can not only provide abundant opportunities to reduce the system's runtime overhead but also simplify the system's architecture.
Software-Directed Register Deallocation for Simultaneous Multithreaded Processors

This paper proposes and evaluates software techniques that increase register file utilization for simultaneous multithreading (SMT) processors. SMT processors require large register files to hold multiple thread contexts that can issue instructions out of order every cycle. By supporting better interthread sharing and management of physical registers, an SMT processor can reduce the number of registers required and can improve performance for a given register file size. Our techniques specifically target register deal location. While out-of-order processors with register renaming are effective at knowing when a new physical register must be allocated, they have limited knowledge of when physical registers can be deallocated. We propose architectural extensions that permit the compiler and operating system to: 1) free registers immediately upon their last use, and 2) free registers allocated to idle thread contexts. Our results, based on detailed instruction-level simulations of an SMT processor, show that these techniques can increase performance significantly for register-intensive, multithreaded programs.
Blind frequency offset and delay estimation of linearly modulated signals using second order cyclic statistics

A blind (non-data aided), open loop, joint frequency offset and delay estimation algorithm for a linearly modulated signal in additive stationary noise is developed by exploiting the cyclostationarity of the signal. By considering the sample cyclic autocorrelation function of the received signal and the probability distribution of the estimation error, a general linear model representation of the problem is obtained from which the parameters are estimated using a Bayesian framework. The algorithm is then extended to a multiple signals of interest scenario. The algorithm is simulated for both single and multiple BPSK signals.
Global Hollywood 2

Why is Hollywood so successful? Overwhelming almost every other national cinema and virtually extinguishing foreign cinema in the multicultural United States, Hollywood seems powerful around the globe. This book draws from political economy, cultural studies, and cultural policy analysis to highlight the material factors underlining this apparent artistic success. This new edition brings the arguments completely up-to-date by taking into consideration important developments such as 9/11, shifts in the exchange rate, transformations in U.S. foreign policy, and significant developments in trade agreements, consumer technology, and ownership regimes. Each chapter has been substantially revised, and major new sections on India and China have been added.
On the Independence of Observations between Experiments

In experimental economics there exists a lively debate about the independence of observations. Although opinions on the issue differ widely, all concerns regard the independence of subjects' behavior within one session or experiment. This paper attempts to shed some light on the independence of observations between experiments, if they are generated by the same subjects. We analyze experiments with an allocation decision and find that participation in previous experiments tends to increase the amount subjects allocate to themselves. Hence, independence between experiments cannot be presumed if subjects participate repeatedly. The finding has implications for the interpretation of previous allocation decision results and deserves attention when running future experiments.
Evaluation result of new seafloor mirror transponder and AUV observation system in seafloor geodetic observation

Intending to capture sea-bottom crustal deformations with high accuracy, we have been developing new technologies for seafloor geodetic observations with an AUV. This has led to the development of a small high-performance geodetic observation system and an ideal spherical acoustic transducer, both to be mounted on an AUV, and the tuning and evaluation tests of them have yielded good results.
Complete genome sequence of an M1 strain of Streptococcus pyogenes

The 1,852,442-bp sequence of an M1 strain of Streptococcus pyogenes, a Gram-positive pathogen, has been determined and contains 1,752 predicted protein-encoding genes. Approximately one-third of these genes have no identifiable function, with the remainder falling into previously characterized categories of known microbial function. Consistent with the observation that S. pyogenes is responsible for a wider variety of human disease than any other bacterial species, more than 40 putative virulence-associated genes have been identified. Additional genes have been identified that encode proteins likely associated with microbial “molecular mimicry” of host characteristics and involved in rheumatic fever or acute glomerulonephritis. The complete or partial sequence of four different bacteriophage genomes is also present, with each containing genes for one or more previously undiscovered superantigen-like proteins. These prophage-associated genes encode at least six potential virulence factors, emphasizing the importance of bacteriophages in horizontal gene transfer and a possible mechanism for generating new strains with increased pathogenic potential.