Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical Home Environment, Personal Competencies, and Psychological Well-Being of Community-Dwelling Older Adults: Development of a Structural Model

This multi-manuscript dissertation focuses on the relationships between the physical home environment, personal competencies, and psychological well-being among older adults living in community settings. The ecological model of aging serves as the guiding theoretical framework for the exploration and design of the subsequent studies. The first paper is a critical review of the literature. Results suggest that there is little consistency in the measurement of the physical home environment across studies. Also, more research is needed to clarify the relationships between the three major constructs and to expand the area of study to U.S. populations. Finally, some support exists to suggest that personal competence moderates the effect of the physical home environment on psychological well-being. Recommendations for research and practice are given. The second and third paper follow the research recommendations of paper one. To begin exploring the relationships between the constructs among U.S. based samples, the National Health and Aging Trends Study (NHATS) round 1 data are used. NHATS is a population-based sample of older adults drawn from the Medicare Enrollment File, which represents 96% of seniors in the continental United States. The second paper is a description of a confirmatory factor analytic (CFA) approach that tests an a priori measurement model. The sample of 6,665 community-dwelling respondents is randomly split into two subsamples (sample 1= 3,330 and sample 2= 3,335). The proposed measurement model is then refined with the first sample and validated with the second sample. The final paper describes the process of fitting a structural model to the data of the entire sample and testing whether personal competence moderates the effect of physical home environment on psychological well-being.
Refined regularity for the blow-up set at non characteristic points for the vector-valued semilinear wave equation

In this paper, we consider a blow-up solution for the complex-valued semilinear wave equation with power non-linearity in one space dimension. We show that the set of non characteristic points $I_0$ is open and that the blow-up curve is of class $C^{1,\mu_0}$ and the phase $\theta$ is $C^{\mu_0}$ on this set. In order to prove this result, we introduce a Liouville Theorem for that equation.
Avian Community Use and Occupancy of California Oak Savanna

Abstract. California oak savanna is a habitat of sparse tree canopy that extends from northern Baja California to southern British Columbia and is under threat from land-use pressures such as conversion to agriculture, overgrazing, urban development, and fire suppression. Bird-conservation plans have been drafted for the region's oak woodlands. Yet it is unclear whether birds use California oak savanna at different frequencies than they do neighboring oak habitats. In the foothills of the central and northern Sierra Nevada, California, we explored patterns of avian community structure and habitat occupancy in four habitats: blue oak (Quercus douglasii) savanna with a well-developed grass and forb layer, blue oak savanna with a well-developed shrub layer, and two habitats with a denser canopy, blue oak woodland, and montane hardwood. Additionally, we assessed the effect of habitat characteristics on avian community structure and occupancy. Avian communities were uniquely grouped among the four habitats. Five species of management and conservation concern—the Western Kingbird (Tyrannus verticalis), Western Bluebird (Sialia mexicana), Lark Sparrow (Chondestes grammacus), Western Meadowlark (Sturnella neglecta), and Bullock's Oriole (Icterus bullockii)—were predicted to occupy oak savanna habitats at frequencies higher than in oak woodland or montane hardwood. Shrub cover was the most influential habitat characteristic shaping the avian community and was negatively associated with occupancy of the five savanna-affiliated birds. The distinctive structure and occupancy patterns observed for species of concern in California oak savanna suggest that birds perceive this as unique habitat, highlighting the need for its conservation.
Borderline Personality Disorder Symptoms in College Students: The Complex Interplay between Alexithymia, Emotional Dysregulation and Rumination

Both Emotional Cascade Theory and Linehan’s Biosocial Theory suggest dysregulated behaviors associated with Borderline Personality Disorder (BPD) emerge, in part, because of cycles of rumination, poor emotional recognition and poor emotion regulation. In this study we examined relationships between rumination, alexithymia, and emotion regulation in predicting dysregulated behaviors associated with BPD (e.g. self-harm, substance use, aggression), and explored both indirect and moderating effects among these variables. The sample comprised 2261 college students who completed self-report measures of the aforementioned constructs. BPD symptoms, stress, family psychological illness, and alexithymia exerted direct effects on behaviors. Symptoms had an indirect effect on behaviors through rumination, alexithymia and emotional dysregulation. In addition, the relationship between symptoms and dysregulated behaviors was conditional on level of rumination and alexithymia. Implications for early identification and treatment of BPD and related behaviors in college settings are discussed.
Impaired autonomic function is associated with increased mortality, especially in subjects with diabetes, hypertension, or a history of cardiovascular disease: the Hoorn Study.

OBJECTIVE Measures of baroreflex sensitivity, heart rate variability (HRV), and the classical Ewing test parameters are currently used for the diagnosis of diabetic autonomic neuropathy and for mortality risk stratification after myocardial infarction. However, the strengths of the associations of these measures of autonomic function with risk of mortality have never been compared in one study population. Furthermore, no evidence is available on the possible effect of glucose tolerance on these associations. RESEARCH DESIGN AND METHODS The study population (n = 605) consisted of a glucose tolerance-stratified sample from a general population (50-75 years of age). Cardiac cycle duration and continuous finger arterial pressure were measured under two conditions: at rest and on metronome breathing. From these readings, seven parameters of autonomic function were assessed (one Ewing, five HRV, and one baroreflex sensitivity). RESULTS During 9 years of follow-up, 101 individuals died, 43 from cardiovascular causes. Subjects with diabetes and low levels of the autonomic function parameters, indicating impaired autonomic function, had an approximately doubled risk of mortality. This association was consistent, though not statistically significant, for all parameters. The elevated risk was not observed in subjects without diabetes, hypertension, or prevalent cardiovascular disease. CONCLUSIONS Impaired autonomic function is associated with all-cause and cardiovascular mortality. Moreover, the results of the present study suggest that cardiac autonomic dysfunction in patients already at risk (diabetes, hypertension, or history of cardiovascular disease) may be especially hazardous.
Scalable IPv6 lookup/update design for high-throughput routers

Achieving scalable performance in the IPv6 address lookup and update poses a challenge to the design of existing routers. To concurrently match address prefixes with different route entries, we propose a parallel memory lookup scheme which uses three-level tables to cover various lengths of prefix distributions for the long IP address. The scheme employs a parallel CRC address compression hardware to reduce the lookup table sizes. The multi-cycle implementation of the design has achieved an average of 1.6 memory accesses per lookup request. The pipeline version features a five-stage pipeline design with a mechanism to reduce pipeline stalls due to updates. Performance simulation reveals that the number of address queue entries significantly influences the lookup throughput when frequent table updates occur. The proposed single pipeline module with an eight-entry queue stage has achieved a maximum rate of 100×10^6 lookups per second. With the four-pipeline configuration, the throughput is increased by a factor of 2.5 for sparse updates and up to 2.3 when the update rate increases to 20 percents of the lookup's. This paper has demonstrated a viable IPv6 lookup design that is scalable for high-throughput routers.
The DLR bimanual haptic device with optimized workspace

This article accompanies a video that presents a bimanual haptic device composed of two DLR/KUKA Light-Weight Robot (LWR) arms. The LWRs have similar dimensions to human arms, and can be operated in torque and position control mode at an update rate of 1 kHz. The two robots are mounted behind the user, such that the intersecting workspace of the robots and the human arms becomes maximal. In order to enhance user interaction, various hand interfaces and additional tactile feedback devices can be used together with the robots. The presented system is equipped with a thorough safety architecture that assures safe operation for human and robot. Additionally, sophisticated control strategies improve performance and guarantee stability. The introduced haptic system is well suited for versatile applications in remote and virtual environments, especially for large unscaled movements.
Immune Modulation by Androgen Deprivation and Radiation Therapy: Implications for Prostate Cancer Immunotherapy

Prostate cancer patients often receive androgen deprivation therapy (ADT) in combination with radiation therapy (RT). Recent evidence suggests that both ADT and RT have immune modulatory properties. First, ADT can cause infiltration of lymphocytes into the prostate, although it remains unclear whether the influx of lymphocytes is beneficial, particularly with the advent of new classes of androgen blockers. Second, in rare cases, radiation can elicit immune responses that mediate regression of metastatic lesions lying outside the field of radiation, a phenomenon known as the abscopal response. In light of these findings, there is emerging interest in exploiting any potential synergy between ADT, RT, and immunotherapy. Here, we provide a comprehensive review of the rationale behind combining immunotherapy with ADT and RT for the treatment of prostate cancer, including an examination of the current clinical trials that employ this combination. The reported outcomes of several trials demonstrate the promise of this combination strategy; however, further scrutiny is needed to elucidate how these standard therapies interact with immune modulators. In addition, we discuss the importance of synchronizing immune modulation relative to ADT and RT, and provide insight into elements that may impact the ability to achieve maximum synergy between these treatments.
Evaluation of an Optimal Cut-Off Point for the Ki-67 Index as a Prognostic Factor in Primary Breast Cancer: A Retrospective Study

The Ki-67 index is an important biomarker for indicating the proliferation of cancer cells and is considered to be an effective prognostic factor for breast cancer. However, a standard cut-off point for the Ki-67 index has not yet been established. Therefore, the aim of this retrospective study was to determine an optimal cut-off point in order to establish it as a more accurate prognostic factor. Immunohistochemical analysis of the Ki-67 index was performed on 4329 patients with primary breast cancer from August 1987 to March 2012. Out of this sample, there were 3186 consecutive cases from September 1997 with simultaneous evaluations of ER, PgR and HER2 status. Cox's proportional hazard model was used to perform univariate and multivariate analyses of the factors related to OS. The hazard ratios (HR) and the p values were then compared to determine the optimal cut-off point for the Ki-67 index. The median Ki-67 index value was 20.5% (mean value 26.2%). The univariate analysis revealed that there was a statistically significant negative correlation with DFS and OS and the multivariate analysis revealed that the Ki-67 index value was a significant factor for DFS and OS. The top seven cut-off points were then carefully chosen based on the results of the univariate analysis using the lowest p-values and the highest HR as the main selection criteria. The multivariate analysis of the factors for OS showed that the cut-off point of 20% had the highest HR in all of the cases. However, the cutoff point of 20% was only a significant factor for OS in the Luminal/HER2- subtype. There was no correlation between the Ki-67 index value and OS in any of the other subtypes. These data indicate that the optimal cut-off point of 20% is the most effective prognostic factor for Luminal/HER2- breast cancer.
Why is Helping Behavior Declining in the United States But Not in Canada?: Ethnic Diversity, New Technologies, and Other Explanations

This paper explores whether there has been a recent decline in helping behavior in the United States. In a lost letter experiment, 7,466 letters were “lost” in 63 urban areas in the United States and Canada in 2001 and 2011. There has been a 10 percent decline in helping behavior in the United States, but not in Canada. Two arguments anticipate change in the level of help provided to strangers: the rise of new technologies, and neighborhood racial and ethnic diversity. Findings exclude increased privatism as a source for the decline in helping. In 2001 there was no variation in altruistic behavior based on neighborhood diversity. However, areas of the United States where the proportion of noncitizens increased since 2001 experienced reduced helping; the opposite was found in Canada. Possible explanations include changing attitudes toward noncitizens, and differences in public policy related to economic inequality, social inclusion, and the acceptance of multiculturalism.
User-Input Dependence Analysis via Graph Reachability

Bug-checking tools have been used with some success in recent years to find bugs in software. For finding bugs that can cause security vulnerabilities, bug checking tools require a program analysis which determines whether a software bug can be controlled by user-input. In this paper we introduce a static program analysis for computing user-input dependencies. This analysis can be used as a pre-processing filter to a static bug checking tool for identifying bugs that can potentially be exploited as security vulnerabilities. In order for the analysis to be applicable to large commercial software in the millions of lines of code, runtime speed and scalability of the user-input dependence analysis is of key importance. Our user-input dependence analysis takes both data and control dependencies into account. We extend static single assignment (SSA) form by augmenting phi-nodes with control dependencies. A formal definition of user-input dependence is expressed in a dataflow analysis framework as a meet-over-all-paths (MOP) solution. We reduce the equation system to a sparse equation system exploiting the properties of SSA. The sparse equation system is solved as a reachability problem that results in a fast algorithm for computing user-input dependencies. We have implemented a call-insensitive and a call-sensitive analysis. The paper gives preliminary results on the comparison of their efficiency for various benchmarks.
MRI discrimination by inter-slice similarities and kernel-based centered alignment

Brain structure segmentation from 3D magnetic resonances image (MRI) allows supporting the analysis of physiological and pathological processes. Nonetheless, finding MRI relationships posses a challenge when analyzing in voxel-based high-dimensional spaces. We introduce a kernel-based representation approach to support MRI discrimination. In this sense, inherent Inter-Slice Kernel (ISK) relationship is employed to highlight brain structure distributions. Then, a generalized Euclidean metric is estimated by using a kernel-based centered alignment algorithm to code the correlation between MRI dependencies and prior demographic patient information. The proposed approach is tested on MRI data classification by considering patient gender and age categories. Attained results show how proposed methodology improves data interpretability and separability in comparison to state of the art algorithms based on MRI Voxel-wise features. Therefore, introduced kernel-based representation can be useful to support MRI clustering and similarity inference tasks that are required on template-based image segmentation and atlas construction.
Improving multipath live streaming performance with Markov Decision Processes

Recent studies have demonstrated the benefit of multipath live contents streaming in the Internet best-effort environment. In this paper, we propose an approach to enhance performance of the multipath streaming by using Markov decision processes. We formulate the multipath live streaming problem with the minimum distortion rate objective as a Markov decision process (MDP) and solve the formulated MDP on the fly using a computational effective algorithm namely OPI i.e. Online Policy Iteration. We demonstrate the superior performance of the proposed approach against the classical schemes including weighted round robin (WRR) and join the shortest queue (JSQ) through intensive simulation using Ns-2. The approach proposed is transport protocol independent, which implies that it can be used friendly with both UDP and TCP streaming.
Natural images and contrast encoding in bipolar cells in the retina of the land- and aquatic-phase tiger salamander

Intracellular recordings were obtained from 57 cone-driven bipolar cells in the light-adapted retina of the land-phase (adult) tiger salamander (Ambystoma tigrinum). Responses to flashes of negative and positive contrast for centered spots of optimum spatial dimensions were analyzed as a function of contrast magnitude. On average, the contrast/response curves of depolarizing and hyperpolarizing bipolar cells in the land-phase animals were remarkably similar to those of aquatic-phase animals. Thus, the primary retinal mechanisms mediating contrast coding in the outer retina are conserved as the salamander evolves from the aquatic to the land phase. To evaluate contrast encoding in the context of natural environments, the distribution of contrasts in natural images was measured for 65 scenes. The results, in general agreement with other reports, show that the vast majority of contrasts in nature are very small. The efficient coding hypothesis of Laughlin was examined by comparing the average contrast/response curves of bipolar cells with the cumulative probability distribution of contrasts in natural images. Efficient coding was found at 20 cd/m2 but at lower levels of light adaptation, the contrast/response curves were much too shallow. Further experiments show that two fundamental physiological factors—light adaptation and the nonlinear transfer across the cone-bipolar synapse are essential for the emergence of efficient contrast coding. For both land- and aquatic-based animals, the extent and symmetry of the dynamic range of the contrast/response curves of both classes of bipolar cells varied greatly from cell to cell. This apparent substrate for distributed encoding is established at the bipolar cell level, since it is not found in cones. As a result, the dynamic range of the bipolar cell population brackets the distribution of contrasts found in natural images.
Rule of Law, Risk Sharing, and the Cost of Funds

This paper shows that the quality of laws, by affecting the cost of investment for outside investors, has an effect on risk sharing and, through it, on the availability of external finance to firms. If, because of high investment costs, the provision of finance to projects is concentrated in few risk-averse individuals, the risk premium rises steeply with the amount of funds firms demand. As a consequence, in countries where the financial system does not favor risk sharing, the larger the demand for external funds of a firm, the costlier external finance becomes. Empirical evidence of this effect is also provided. The cost of debt is higher for firms demanding larger loans, even after controlling for leverage and other firm characteristics. Not surprisingly, the scale of the loans matters especially in countries where creditor rights are less protected.
Genome-Wide Analyses of Exonic Copy Number Variants in a Family-Based Study Point to Novel Autism Susceptibility Genes

The genetics underlying the autism spectrum disorders (ASDs) is complex and remains poorly understood. Previous work has demonstrated an important role for structural variation in a subset of cases, but has lacked the resolution necessary to move beyond detection of large regions of potential interest to identification of individual genes. To pinpoint genes likely to contribute to ASD etiology, we performed high density genotyping in 912 multiplex families from the Autism Genetics Resource Exchange (AGRE) collection and contrasted results to those obtained for 1,488 healthy controls. Through prioritization of exonic deletions (eDels), exonic duplications (eDups), and whole gene duplication events (gDups), we identified more than 150 loci harboring rare variants in multiple unrelated probands, but no controls. Importantly, 27 of these were confirmed on examination of an independent replication cohort comprised of 859 cases and an additional 1,051 controls. Rare variants at known loci, including exonic deletions at NRXN1 and whole gene duplications encompassing UBE3A and several other genes in the 15q11–q13 region, were observed in the course of these analyses. Strong support was likewise observed for previously unreported genes such as BZRAP1, an adaptor molecule known to regulate synaptic transmission, with eDels or eDups observed in twelve unrelated cases but no controls (p = 2.3×10−5). Less is known about MDGA2, likewise observed to be case-specific (p = 1.3×10−4). But, it is notable that the encoded protein shows an unexpectedly high similarity to Contactin 4 (BLAST E-value = 3×10−39), which has also been linked to disease. That hundreds of distinct rare variants were each seen only once further highlights complexity in the ASDs and points to the continued need for larger cohorts.