Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECTS OF A SOCIAL SUPPORT INTERVENTION ON HEALTH OUTCOMES IN RESIDENTS OF A DOMESTIC VIOLENCE SHELTER: A PILOT STUDY

This pilot study tested the feasibility and effectiveness of a social support intervention with women (n = 24) while they were in a domestic violence shelter. Health outcomes were examined pre and postintervention using a randomized control design. The intervention group had greater improvement (p = .013) in psychological distress symptoms and greater improvement in perceived availability of social support (p = .016) than the control group. The intervention group showed less health care utilization (p = .032) than the control group. Social support interventions for women in shelters are effective in improving health outcomes. Further research should be aimed at testing the effectiveness of different types of interventions on health and abuse outcomes in women who experience interpersonal violence.
Matchmaking with limited knowledge of resources on clouds and grids

Clouds and grids are distributed resource infrastructures that are subjected to both on demand as well as Advance reservation (AR) requests. Matchmaking or assigning an appropriate resource to an advance reservation request is an important operation performed by the resource management middleware. Most existing research on matchmaking strategies uses a priori knowledge of the local scheduling policy used at a resource in the cloud/grid. However, exact knowledge of the scheduling policy used at every resource is unlikely to be available on real heterogeneous systems deploying a variety of different resources. This paper presents a matchmaking strategy that does not use detailed knowledge of the scheduling policies used at resources. Results of performance simulations for the strategy are very encouraging.
Filtering Left Dislocation Chains in Parsing Categorial Grammar 1 Parsing Left Dislocation

This paper reports on a way to reduce the complexity of the process of left dislocation (re)construction for categorial grammar in the case of lexically assigned gaps, as an additional restriction on the complexity arising from lexical polymorphism in general. Specifying extraction sites lexically has the advantage that the combinatory explosion can be contained in the preparsing track by a specialized constraint on the expansion of sequences of categories. This constraint is called the Left Dislocation Chain Filter and is implemented by a Finite State Transducer. It is shown that the Filter can reduce the number of full string assignments under consideration prior to parsing with an average of one half to one order of magnitude, depending on the nature of the sentence. Left dislocation is a very common, almost universal phenomenon in natural languages. It establishes the relation between an element at the left periphery of a clause and a particular, lexically open position in its right context. The leftward nature of dislocation is explained in Kayne (1994). The most prominent of these relations are invoked by so called wh-elements at the leftmost edge of questions and relative clauses. If a language has left dislocation, however, many other constituents can occur in a left dislocated position. Here are some examples from Dutch; the distinguished position in the right context is marked by t. (1) Mimi vroeg zich af wie] Jan dacht dat t zou gaan winnen Mimi wondered (herself) who Jan thought that would go win`Mimi wondered who Jan thought would win' (2) De lm die] ik heb t gezien] kan jij niet t gezien hebben The movie that I have seen can you not seen havèYou cannot have seen the movie I have seen'
Viral and Cellular Biomarkers in the Diagnosis of Cervical Intraepithelial Neoplasia and Cancer

Cervical cancer arises from cells localized in the ectoendocervical squamocolumnar junction of the cervix persistently infected with one of about 13 human papillomavirus (HPV) genotypes. The majority of HPV infections induces low grade squamous epithelial lesions that in more than 90% of cases spontaneously regress and in about 10% eventually progress to high grade lesions and even less frequently evolve to invasive cancer. Tumor progression is characterized by (1) increased expression of E6 and E7 genes of high risk HPVs, known to bind to and inactivate p53 and pRb oncosuppressors, respectively; (2) integration of viral DNA into host genome, with disruption of E2 viral genes and host chromosomal loci; and (3) molecular alterations of key regulators of cell cycle. Molecular markers with high sensitivity and specificity in differentiating viral infections associated with cellular abnormalities with high risk of progression are strongly needed for cervical cancer screening and triage. This review will focus on the analysis of clinical validated or candidate biomarkers, such as HPV DNA, HPV E6/E7 mRNA, HPV proteins, p16(INK4a) and Ki67, TOP2A and MCM2 cellular factors, and DNA methylation profiles, which will likely improve the identification of premalignant lesions that have a high risk to evolve into invasive cervical cancer.
SDF1 Regulates Leading Process Branching and Speed of Migrating Interneurons

Cell migration is required for normal embryonic development, yet how cells navigate complex paths while integrating multiple guidance cues remains poorly understood. During brain development, interneurons migrate from the ventral ganglionic eminence to the cerebral cortex within several migratory streams. They must exit these streams to invade the cortical plate. While SDF1 (stromal cell-derived factor-1) signaling is necessary for normal interneuron stream migration, how they switch from tangential stream migration to invade the cortical plate is unknown. Here, we demonstrate that SDF1 signaling reduces interneuron branching frequency by reducing cAMP levels via a Gi signaling pathway using an in vitro mouse explant system, resulting in the maintenance of stream migration. Blocking SDF1 signaling or increasing branching frequency results in stream exit and cortical plate invasion in mouse brain slices. These data support a novel model to understand how migrating interneurons switch from tangential migration to invade the cortical plate in which reducing SDF signaling increases leading process branching and slows the migration rate, permitting migrating interneurons to sense cortically directed guidance cues.
Impact of RTN3 Deficiency on Expression of BACE1 and Amyloid Deposition

Reticulon 3 (RTN3) has previously been shown to interact with BACE1 and negatively regulate BACE1 activity. To what extent RTN3 deficiency affects BACE1 activity is an intriguing question. In this study, we aimed to address this by generating RTN3-null mice. Mice with complete deficiency of RTN3 grow normally and have no obviously discernible phenotypes. Morphological analyses of RTN3-null mice showed no significant alterations in cellular structure, although RTN3 is recognized as a protein contributing to the shaping of tubular endoplasmic reticulum. Biochemical analysis revealed that RTN3 deficiency increased protein levels of BACE1. This elevation of BACE1 levels correlated with enhanced processing of amyloid precursor protein at the β-secretase site. We also demonstrated that RTN3 deficiency in Alzheimer's mouse models facilitates amyloid deposition, further supporting an in vivo role of RTN3 in the regulation of BACE1 activity. Since it has been shown that RTN3 monomer is reduced in brains of Alzheimer's patients, our results suggest that long-lasting reduction of RTN3 levels has adverse effects on BACE1 activity and may contribute to Alzheimer's pathogenesis.
VERIFYING CELL LOSS REQUIREMENTSIN HIGH-SPEED COMMUNICATION

In high-speed communication networks it is common to have requirements of very small cell loss probabilities due to bu er over ow. Losses are measured to verify that the cell loss requirements are being met, but it is not clear how to interpret such measurements. We propose methods for determining whether or not cell loss requirements are being met. A key idea is to look at the stream of losses as successive clusters of losses. Often clusters of losses, rather than individual losses, should be regarded as the important \loss events. " Thus we propose modeling the cell loss process by a batch Poisson stochastic process. Successive clusters of losses are assumed to arrive according to a Poisson process. Within each cluster, cell losses do not occur at a single time, but the distance between losses within a cluster should be negligible compared to the distance between clusters. Thus, for the purpose of estimating the cell loss probability, we ignore the spaces between successive cell losses in a cluster of losses. Asymptotic theory suggests that the counting process of losses initiating clusters often should be approximately a Poisson process even though the cell arrival process is not nearly Poisson. The batch Poisson model is relatively easy to test statistically and t; e.g., the batch-size distribution and the batch arrival rate can readily be estimated from cell loss data. Since batch (cluster) sizes may be highly variable, it may be useful to focus on the number of batches instead of the number of cells in a measurement interval. We also propose a method for approximately determining the parameters of a special batch Poisson cell loss with geometric batch-size distribution from a queueing model of the bu er content. For this step, we use a re ected Brownian motion (RBM) approximation of a G/D/1/C queueing model. We also use the RBM model to estimate the input burstiness given the cell loss rate. In addition, we use the RBM model to determine whether the presence of losses should signi cantly a ect the estimation of server utilization when both losses and utilizations are estimated from data. Overall, our analysis can serve as a basis for determining required observation intervals in order to reach conclusions with a solid statistical basis. Thus our analysis can help plan simulations as well as computer system measurements.
Statistical Generation of 3D Facial Animable Models

This article reports results of a modeling system that is part of a larger project which seeks to achieve perceptually realistic animations of 3D models driven by speech. This system generates individualized animatable 3D face models driven by “muscles” and compatible with MPEG-4. Our main contribution is in the use of an extensive facial database and statistical techniques to generate plausible facial models from limited data: from a single image using eigenface-like statistical recognition techniques, from descriptions (identikit) or randomly within the parameters of the population represented in the facial database. An interactive module and a musclebased animation player are also part of the system.
Low-overhead time synchronization for schedule-based multi-channel wireless sensor networks

Network-wide time synchronization is essential for schedule-based communication in multi-channel wireless sensor networks (WSN). However, broadcast communication, used by many time synchronization protocols, is not fully supported in networks of this type. This poses a difficulty in distributing the global timing information over the complete network to achieve network-wide synchronization. To overcome this problem, a time synchronization scheme is needed that uses parallel communication on multiple channels for disseminating the timing information. Located at the medium access control (MAC) layer, the scheme can obtain more precise clock offset estimation. Besides, the timing information is piggybacked on MAC layer control messages, the time synchronization scheme does not induce extra messages. Experimental evaluation results from real hardware have shown that the scheme achieves a very high accuracy with an acceptable overhead. This proves that the deployment of several proposed schedule-based multi-channel MAC protocols is practically feasible without threatening the energy consumption of the network.
Improved intralimb coordination in people with incomplete spinal cord injury following training with body weight support and electrical stimulation.

BACKGROUND AND PURPOSE Limb coordination is an element of motor control that is frequently disrupted following spinal cord injury (SCI). The authors assessed intralimb coordination in subjects with SCI following a 12-week program combining body weight support, electrical stimulation, and treadmill training. SUBJECTS Fourteen subjects with long-standing (mean time post-SCI=70 months, range=12-171 months), incomplete SCI participated. Three subjects without SCI provided data for comparison. METHODS A vector-based technique was used to assign values to the frame-by-frame changes in hip/knee angle, and vector analysis techniques were used to assess how closely the hip/knee angles of each step cycle resembled those of every other step cycle. Overground and treadmill walking speeds also were measured. RESULTS Following training, 9 of the 14 subjects with SCI demonstrated greater intercycle agreement. Mean overground and treadmill walking speeds improved (84% and 158%, respectively). DISCUSSION AND CONCLUSION The intervention used in this study is based on our current understanding of the role of afferent input in the production of walking. Although the study sample was small and there was no control group, results suggest that training may improve intralimb coordination in people with SCI.
Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images

We propose an effective framework for salient region detection in natural images based on the concept of self-guided statistical non-redundancy (SGNR). Salient regions are unique, because they have low information redundancy within a given image, while the rest of the scene may highly be redundant. We first analyze the structural characteristics of the image using structured image elements (samples) and classify them as being non-redundant or redundant based on textural compactness and overall non-redundancy. This guides saliency detection toward regions with low information redundancy by considering explicitly high information redundancy of samples potentially belonging to the background. We then compute the saliency map by determining the statistical non-redundancy of each sample using a conditional graph model. Experimental results based on publicly available data sets show that SGNR provides promising results when compared with existing saliency approaches.
Institutional narratives and the struggle for inclusive communities in the Greek context

ABSTRACT Drawing on research into three case study schools in the Greek context, this paper builds on narrative identity theory to conceptualise the nature of inclusion as part of institutional identity. The voices of head teachers, teachers and parents were analysed as they struggled with policy demands, pupil needs and lack of resources at a time of particular economic uncertainty at local and national levels. The narratives of stakeholders provide a rich account of the complexity of narratives within a web of influences which form divergent institutional stories as teachers and parents grapple with inclusion and inclusive practices. The study identified three forms of inclusion in case study schools: deep, surface and segregated, co-existing to a lesser or greater extent within institutions and their communities.
Quantum confinement point of view for mobility and stress responses on (100) and (110) SingleGate and double-gate nMOSFETs

Impact of quantum confinement on electron mobility and its stress responses for (100) and (110)-orientated single-gate (SG) and double-gate (DG) nMOSFETs is studied. Unstrained electron mobility in (110) DG nMOSFETs is found to be significantly higher than that of (110) SG devices. This paper discusses another physical explanation to the experimentally observed higher electron mobility in (110) FinFET sidewall channels as compared to that observed in planar (110) devices. It is also found that the electron mobility increases faster under uniaxial tensile stress for (110) devices than for (100) ones. The higher mobility in (110) DG devices is attributed to the lighter confinement effective mass of Δ4 valleys and the non-parabolicity of Δ2 valleys along the <;110> directions. With high enough tensile strain, DG nMOSFETs with (110) surface orientation are expected to outperform these on (100).
Auto-recognition Method for Pointer-type Meter Based on Binocular Vision

This paper presents an auto-recognition method for pointer-type meter based on computer vision. Two calibrated cameras are located in the right and left sides of the meter to capture the meter displayed images. In each displayed image, the fast Hough transform method is used to locate the approximate pointer area and then the least squares fitting method is used to determine the precise line that represents the pointer indicator. Two precise lines obtained from both right and left displayed images are reconstructed in three-dimensional space according to the epipolar constraint. The line reconstructed is then projected into the target plane to determine the true indication of the meter. Experiments show that the proposed method works very well for the dial pointer identification. The maximum uncertainty in the determination of the pointer's indication is less than the human eye can discriminate.
Fourth-grade gifted students participation in literature circles

This qualitative, practitioner study explored how gifted students, who were not necessarily sophisticated readers, first participated in literature circles. The students were enrolled in a US Title I, magnet Science, Technology, Engineering, and Mathematics (STEM)/International Baccalaureate World Academy (IB) school. Students routinely participated in inquiry science activities, but rarely in literacy instruction in their mainstream classrooms. Their gifted and talented students (GATE) teacher provided an opportunity for them to participate in literature circles within their GATE instructional time. Students responded to their reading by writing, drawing, and discussing. Their earliest responses were closely tied to their reading. Later responses were inferential where they offered multiple interpretations.
A fast, robust algorithm for power line interference cancellation in neural recording

Objective. Power line interference may severely corrupt neural recordings at 50/60 Hz and harmonic frequencies. The interference is usually non-stationary and can vary in frequency, amplitude and phase. To retrieve the gamma-band oscillations at the contaminated frequencies, it is desired to remove the interference without compromising the actual neural signals at the interference frequency bands. In this paper, we present a robust and computationally efficient algorithm for removing power line interference from neural recordings. Approach. The algorithm includes four steps. First, an adaptive notch filter is used to estimate the fundamental frequency of the interference. Subsequently, based on the estimated frequency, harmonics are generated by using discrete-time oscillators, and then the amplitude and phase of each harmonic are estimated by using a modified recursive least squares algorithm. Finally, the estimated interference is subtracted from the recorded data. Main results. The algorithm does not require any reference signal, and can track the frequency, phase and amplitude of each harmonic. When benchmarked with other popular approaches, our algorithm performs better in terms of noise immunity, convergence speed and output signal-to-noise ratio (SNR). While minimally affecting the signal bands of interest, the algorithm consistently yields fast convergence (<100 ms) and substantial interference rejection (output SNR >30 dB) in different conditions of interference strengths (input SNR from −30 to 30 dB), power line frequencies (45–65 Hz) and phase and amplitude drifts. In addition, the algorithm features a straightforward parameter adjustment since the parameters are independent of the input SNR, input signal power and the sampling rate. A hardware prototype was fabricated in a 65 nm CMOS process and tested. Software implementation of the algorithm has been made available for open access at https://github.com/mrezak/removePLI. Significance. The proposed algorithm features a highly robust operation, fast adaptation to interference variations, significant SNR improvement, low computational complexity and memory requirement and straightforward parameter adjustment. These features render the algorithm suitable for wearable and implantable sensor applications, where reliable and real-time cancellation of the interference is desired.
Ammine/amine platinum(IV) dicarboxylates: a novel class of platinum complex exhibiting selective cytotoxicity to intrinsically cisplatin-resistant human ovarian carcinoma cell lines.

Using a panel of six human ovarian carcinoma cell lines varying by two orders of magnitude in terms of cisplatin cytotoxicity, we have investigated the in vitro antitumor activity of a series of novel alkylamine ammine dicarboxylatodichloroplatinum(IV) complexes of the general formula c,t,c-[PtCl2(OCOR1)2NH3(RNH2)]. A clear relationship existed between increasing the number of carbons in the R1 substituent and increasing cytotoxicity up to R1 = C5H11. In terms of changing the R group, maximum cytotoxic effects were conferred by alicyclic substituents. Furthermore, increasing the alicyclic ring size from cyclobutane through to cycloheptane resulted in increasing cytotoxicity. The agents with longer axial chains (e.g., JM300, R = cyclohexyl, R1 = C6H13) were significantly more cytotoxic than cisplatin and, moreover, exhibited a selective cytotoxic effect against the most intrinsically cisplatin-resistant cell lines (e.g., for HX/62, cisplatin 50% inhibitory concentration, 12.6 microM; SKOV-3, cisplatin 50% inhibitory concentration, 4.4 microM and 41 M; cisplatin 50% inhibitory concentration, 0.23 microM; JM300 was 840-, 440-, and only 34-fold more active, respectively). The dicarboxylates JM221 (R = cyclohexyl, R1 = C3H7) and JM244 (R = n-propyl, R1 = C6H5) also retained activity against a 4-fold cisplatin-acquired resistant variant of the 41M cell line. At least part of the increased cytotoxicity of the dicarboxylate, JM221, over cisplatin appeared to be attributable to an increased intracellular accumulation. This novel class of platinum compound represents a valuable lead in the development of a "third-generation" agent capable of exhibiting activity against clinical disease currently resistant to cisplatin.
A key management for non-uniform security environment

Key management is very important for Wireless Sensor Networks' (WSNs) security. Many key management protocols have been proposed recently. However, most of them assume that the area which nodes monitored is equal security, and the probability of nodes being compromised to be the same for every node. In some application environments(e.g. in battle field), the probability of nodes being compromised in an enemy controlled area is larger than in our controlled area. In this paper, a key management method for such application environment which the security is non-uniform is proposed. The optimization for the tradeoff between storage and calculation overhead for Blom Matrix is taken into account; the secret symmetric matrix is generated by conjugate chaotic sequence, it is easy to implemented in physical circuit and more secure.
Computational analysis of whispering gallery modes in flat dielectric disks

Whispering gallery modes of a flat dielectric disk are studied by means of analytical and numerical computational methods based on the finite integration technique. The results are compared to a high accuracy measurement. The frequently used semi-analytical method of effective refractive index has certain weaknesses in finding accurate eigenfrequencies and quality factors.