Miracle-dz/UniFAR-FTUs huggingface dataset:
Guiding Lay Navigation in Geriatric Patients With Cancer Using a Distress Assessment Tool.

BACKGROUND There is growing interest in psychosocial care and evaluating distress in patients with cancer. As of 2015, the Commission on Cancer requires cancer centers to screen patients for distress, but the optimal approach to implementation remains unclear. METHODS We assessed the feasibility and impact of using distress assessments to frame lay navigator interactions with geriatric patients with cancer who were enrolled in navigation between January 1, 2014, and December 31, 2014. RESULTS Of the 5,121 patients enrolled in our lay patient navigation program, 4,520 (88%) completed at least one assessment using a standardized distress tool (DT). Navigators used the tool to structure both formal and informal distress assessments. Of all patients, 24% reported distress scores of 4 or greater and 5.5% reported distress scores of 8 or greater. The most common sources of distress at initial assessment were pain, balance/mobility difficulties, and fatigue. Minority patients reported similar sources of distress as the overall program population, with increased relative distress related to logistical issues, such as transportation and financial/insurance questions. Patients were more likely to ask for help with questions about insurance/financial needs (79%), transportation (76%), and knowledge deficits about diet/nutrition (76%) and diagnosis (66%) when these items contributed to distress. CONCLUSIONS Lay navigators were able to routinely screen for patient distress at a high degree of penetration using a structured distress assessment.
A new axial flux surface mounted permanent magnet machine capable of field control

This paper presents a new axial flux surface mounted permanent magnet (PM) field controlled TORUS type (FCT) machine. Machine structure and principles are explored and the field weakening feature of the topology as well as the advantages of the machine are presented in the first part. The second section introduces the linear model and sizing analysis using generalized sizing equations. Optimization of the machine pole number and power density maximization for the optimum pole number is also achieved. In the third section, 3D finite element analyses (FEA) of the topology are illustrated for different field currents in order to accomplish the machine design and to determine the sizing of the optimum field winding. Furthermore, torque analysis of the FCT machine using 3D finite element analysis is also carried out and illustrated in the paper.
Exploiting paths for entity search in RDF graphs

The field of entity search using Semantic Web (RDF) data has gained more interest recently. In this paper, we propose a probabilistic entity retrieval model for RDF graphs using paths in the graph. Unlike previous work which assumes that all descriptions of an entity are directly linked to the entity node, we assume that an entity can be described with any node that can be reached from the entity node by following paths in the RDF graph. Our retrieval model simulates the generation process of query terms from an entity node by traversing the graph. We evaluate our approach using a standard evaluation framework for entity search.
Hair Regeneration from Transected Follicles in Duplicative Surgery: Rate of Success and Cell Populations Involved

BACKGROUND The use of bisected hair follicles in hair transplantation has been previously reported, but the capacity of each half to regenerate the entire hair has not been clarified. OBJECTIVE To evaluate duplicative surgery rate of success and to analyze the cell populations involved in hair regeneration. METHODS We screened 28 patients undergoing duplicative surgery. Approximately 100 hair follicles from each patient were horizontally bisected and implanted. Upper and lower portions were stained for the known epithelial stem cell markers CD200, p63, β1‐integrin, CD34, and K19. RESULTS Similar percentages of hair regrowth after 12 months were observed when implanting the upper (72.7 ± 0.4%) and lower (69.2 ± 1.1%) portions. Expression of CD200, p63, and β1‐integrin was detected in both portions, whereas K19 and CD34 stained different cell populations in the upper and lower fragment, respectively. CONCLUSION Duplicative surgery might represent a successful alternative for hair transplantation, because both portions are capable of regenerating a healthy hair. Moreover, our results suggest the possible presence of stem cells in both halves of the follicle. The authors have indicated no significant interest with commercial supporters.
Restricted Kaposi’s Sarcoma (KS) Herpesvirus Transcription in KS Lesions from Patients on Successful Antiretroviral Therapy

ABSTRACT Kaposi’s sarcoma (KS) is caused by Kaposi’s sarcoma-associated herpesvirus (KSHV; human herpesvirus 8). KS is an AIDS-defining cancer, and it is changing in the post-antiretroviral therapy (post-ART) era. In countries with ready access to ART, approximately one-third of KS cases present in patients with undetectable HIV loads and CD4 counts of ≥200 cells/µl. This is in contrast to pre-ART era KS, which was associated with systemic HIV replication and CD4 counts of ≤200 cells/µl. Using primary patient biopsy specimens, we identified a novel molecular signature that characterizes AIDS KS lesions that develop in HIV-suppressed patients on ART: KSHV transcription is limited in HIV-suppressed patients. With one exception, only the canonical viral latency mRNAs were detectable. In contrast, early AIDS KS lesions expressed many more viral mRNAs, including, for instance, the viral G protein-coupled receptor (vGPCR). IMPORTANCE This is the first genomewide study of Kaposi’s sarcoma-associated herpesvirus (KSHV) transcription in KS lesions in the post-antiretroviral (post-ART) era. It shows that the gene expression of KSHV is altered in patients on ART, and it provides clinical evidence for active AIDS (as characterized by high HIV load and low CD4 counts) being a potential modulator of KSHV transcription. This implies a novel mode of pathogenesis (tightly latent KS), which may inform KS cancer treatment options in the post-ART era. This is the first genomewide study of Kaposi’s sarcoma-associated herpesvirus (KSHV) transcription in KS lesions in the post-antiretroviral (post-ART) era. It shows that the gene expression of KSHV is altered in patients on ART, and it provides clinical evidence for active AIDS (as characterized by high HIV load and low CD4 counts) being a potential modulator of KSHV transcription. This implies a novel mode of pathogenesis (tightly latent KS), which may inform KS cancer treatment options in the post-ART era.
Kontenjans tablolarının analizinde log-lineer modellerin kullanımı ve sigara bağımlılığı üzerine bir uygulama

Two-way cross tables are used chi-square analysis of statistical analysis, but is insufficient for the analysis of larger cross tables. Log-linear model can be used to determine the structure of three or more multi-dimensional cross-table relationships. Loglinear model can be queried with the help of more interaction between qualitative variables. Loglinear models examined in this study and application is made to explain the smoking addiction
More EFFECTS OF PROGESTERONE ON THE EXPRESSION OF GROWTH-RELATED IMPRINTED GENES Igf 2 , H 19 AND Grb 10 IN THE MOUSE PLACENTA

Genomic imprinting is an epigenetic process resulting in the monoallelic parent-oforigin-specific expression of a subset of genes in the mammalian genome. Many imprinted genes are expressed during embryo growth and are important for fetal and placental development. Progesterone is a natural steroid hormone involved in the establishment and maintenance of pregnancy. Despite the wide use of progesterone as a protecting agent against miscarriages during human pregnancy, very little is known about its effects on the developing embryo. In the present work, we investigated the effects of progesterone on the postimplantation embryo development and in particular, the expression of some growth-related imprinted genes in mice. The effect of progesterone was studied after in vivo administration (injection of pregnant mice). The expression of the imprinted genes Igf2, H19 and Grb10 was assessed by quantitative RTPCR. Special attention was given to the placenta as it is the most likely site where progesterone would exert its effects.
Stress Granules Inhibit Apoptosis by Reducing Reactive Oxygen Species Production

ABSTRACT Cells can undergo two alternative fates following exposure to environmental stress: they either induce apoptosis or inhibit apoptosis and then repair the stress-induced alterations. These processes minimize cell loss and prevent the survival of cells with aberrant DNA and protein alterations. These two alternative fates are partly controlled by stress granules (SGs). While arsenite, hypoxia, and heat shock induce the formation of SGs that inhibit apoptosis, X-ray irradiation and genotoxic drugs do not induce SGs, and they are more prone to trigger apoptosis. However, it is unclear precisely how SGs control apoptosis. This study found that SGs suppress the elevation of reactive oxygen species (ROS), and this suppression is essential for inhibiting ROS-dependent apoptosis. This antioxidant activity of SGs is controlled by two SG components, GTPase-activating protein SH3 domain binding protein 1 (G3BP1) and ubiquitin-specific protease 10 (USP10). G3BP1 elevates the steady-state ROS level by inhibiting the antioxidant activity of USP10. However, following exposure to arsenite, G3BP1 and USP10 induce the formation of SGs, which uncovers the antioxidant activity of USP10. We also found that the antioxidant activity of USP10 requires the protein kinase activity of ataxia telangiectasia mutated (ATM). This work reveals that SGs are critical redox regulators that control cell fate under stress conditions.
An enhanced use case diagram to model Context Aware Systems

Use Case diagrams are widely used to model system behaviour and also to represent user's interaction with the system. Context Aware Systems (CASs) are dynamic in nature and their response is based on varying parameters such as time and location. Due to this dynamic nature, such systems cannot be represented by the existing form of use case diagrams. In this paper the authors present a set of enhancements to the typical form of use case diagrams to fully model a CASs.
Microelectrode Array Recordings from the Ventral Roots in Chronically Implanted Cats

The ventral spinal roots contain the axons of spinal motoneurons and provide the only location in the peripheral nervous system where recorded neural activity can be assured to be motor rather than sensory. This study demonstrates recordings of single unit activity from these ventral root axons using floating microelectrode arrays (FMAs). Ventral root recordings were characterized by examining single unit yield and signal-to-noise ratios (SNR) with 32-channel FMAs implanted chronically in the L6 and L7 spinal roots of nine cats. Single unit recordings were performed for implant periods of up to 12 weeks. Motor units were identified based on active discharge during locomotion and inactivity under anesthesia. Motor unit yield and SNR were calculated for each electrode, and results were grouped by electrode site size, which were varied systematically between 25 and 160 μm to determine effects on signal quality. The unit yields and SNR did not differ significantly across this wide range of electrode sizes. Both SNR and yield decayed over time, but electrodes were able to record spikes with SNR >2 up to 12 weeks post-implant. These results demonstrate that it is feasible to record single unit activity from multiple isolated motor units with penetrating microelectrode arrays implanted chronically in the ventral spinal roots. This approach could be useful for creating a spinal nerve interface for advanced neural prostheses, and results of this study will be used to improve design of microelectrodes for chronic neural recording in the ventral spinal roots.
A Synthesis Tool for Power-Efficient Base-Band Filter Design

A baseband filter synthesizer that takes a behavioural description of the design and produces an efficient transistor level implementation is presented. The tool optimizes the filter at the cascade level, providing the best trade-off between power consumption and dynamic range, and at the cell level, selecting minimum power solutions, through accurate analytical models and an efficient bi-quad topology. Differently from past cascade design techniques based on dynamic range optimization through linear programming, we focus on power minimization while guaranteeing minimum performance levels, given the increasing importance of power savings in hand-held devices. A synthesized filter has been realized in silicon demonstrating the effectiveness of our approach
Gene expression patterns of osteocyte‐like MLO‐Y4 cells in response to cyclic compressive force stimulation

Although osteocytes have long been regarded as mechanosensors for translating mechanical signals into biochemical signals to regulate the other bone cells, the global gene expression patterns and pathways of osteocytes responding to mechanical stimulation are not well defined. We investigated CCF (cyclic compressive force) responsive gene expression patterns at different time‐points using Mouse genome‐wide oligonucleotide microarrays with an osteocyte‐like MLO‐Y4 cell model. We performed a SOM (self‐organizing maps) clustering algorithm based on pattern similarity to organize clusters of temporal expression patterns, and used qRT‐PCR (quantitative reverse transcriptase PCR) analysis to validate expression patterns of selected genes. We also used functional and pathway analysis to evaluate the biological features of the data. In this study, we derived a biological hypothesis from the gene expression profiles that CCF triggers a tightly regulated transcriptional programme to induce bone resorption cell signalling and involves common pathways in osteocytes.
Value-Based Benefit Design: Using a Predictive Modeling Approach to Improve Compliance

BACKGROUND: Increased medication compliance rates have been demonstrated to result in improved clinical outcomes and reduced overall medical expenditures. As such, managed care stakeholders should take the total value approach to benefit design and consider total medical costs beyond the cost of pharmacotherapy alone. OBJECTIVES: To describe the value-based benefit design employed by Pitney Bowes (specifically, the predictive modeling approach), to improve medication compliance, and to report the results of this intervention. SUMMARY: Despite significant skepticism surrounding value-based benefit design, there is growing evidence that these plans can be used in conjunction with careful pharmacy management. In fact, value-based design provides a different lever on pharmacy management and allows for the appropriate drug to be channeled to the appropriate person. Studies demonstrating the adverse impact of high coinsurance levels further augment the argument for value-based benefit design. Value-based benefit design was employed at Pitney Bowes, a $6.1-billion global provider of integrated mailstream solutions, with noticeable success. Patients were either placed in a disease management program or in a secondary program promoting preventive care. The company selectively cut copays to achieve that end, and this total valueapproach translated into significant savings. CONCLUSIONS: To develop a successful value-based benefit design, stakeholders cannot simply cut costs or cut copays. Action must be taken as part of a concerted program, coupled with disease management or similar interventions. Value based- means that positive outcomes are the ultimate goal, and barriers to those positive outcomes must be addressed.
Molecular characterization of the t(10;14) translocation breakpoints in T‐cell acute lymphoblastic leukemia: Further evidence for illegitimate physiological recombination

The t(10;14)(q24;q11) translocation is a non‐random chromosome change seen in the leukemic cells of 5–10% of patients with T‐cell acute lymphoblastic leukemia (T‐ALL). Recent studies support the hypothesis that the translocation occurs in the course of aberrant physiological recombination and results in the juxtaposition of a T‐cell receptor (TCR) gene in 14q11 with a putative oncogene, TCL3, in 10q24. We cloned and sequenced the translocation breakpoints on both derivative 10q+ and 14q– chromosomes from a patient with t(10;14)(q24;q11) T‐ALL. Two distinct diversity segments of TCRD, Dδ2 and Dδ3, were identified at the two translocation breakpoints on chromosome 14. The 9.5 kb DNA that separates these two subunits in the germline was deleted, possibly in the course of a D‐D joining event. The two chromosome 10 breakpoints were 10 nucleotides apart and occurred in the immediate vicinity of a pseudo‐heptamer signal motif. N‐region addition is also evident at the breakpoint on the derivative chromosome 10. Our observations strongly suggest that the IG/TCR recombinase normally involved in V‐(D)‐J joining was involved in the process of the t(10;14)(q24;q11) translocation.
Structuring Documents Efficiently

Documents are typically marked up to enable rendering and to facilitate reuse. However, retargetting a document often requires pervasive changes to the markup. Power et al. have proposed a new level of representation called document structure which captures just those aspects of graphical organisation that are signicant for conveying meaning. These document structures can be generated automatically from rhetorical structures, abstract representations of the meaning of a text. The mapping is highly indeterminate, being governed by a large number of interacting constraints. We present a constraint programming approach to the problem, and report on early experiments with an implementation in Prolog.
Cloud robotics: Current status and open issues

With the development of cloud computing, big data, and other emerging technologies, the integration of cloud technology and multi-robot systems makes it possible to design multi-robot systems with improved energy efficiency, high real-time performance, and low cost. In order to address the potential of clouds in enhancing robotics for industrial systems, this paper describes the basic concepts and development process of cloud robotics and the overall architecture of these systems. Then, the major driving forces behind the development of cloud robotics are carefully analyzed from the point of view of cloud computing, big data, open source resources, robot cooperative learning, and network connectivity. Subsequently, the key issues and challenges in the current cloud robotic systems are proposed, and some possible solutions are also given. Finally, the potential value of cloud robotic systems in different practical applications is discussed.
Testudo: A Low Latency and High-Efficient Memory-Centric Network Using Optical Interconnect

With the continuing-scaling of future multicore processors, the performance requirements on memory access has been put forward much higher. Memory- centric network is deemed as a promising communication paradigm for core-to-memory interconnect in future multicore processors. However, the traditional electrical interconnect has the drawbacks of limited capacity, high communication delay, poor scalability and low energy efficiency, which further limits the performance improvement of the system. To support high-performance communication for memory access, we propose the Testudo architecture, an optically connected memory-centric network (MCN), which utilizes the emerging optical interconnect technology and 3D-stacking memory technology to achieve high bandwidth, low power consumption and high scalability. Testudo is designed based on multiple optical crossbar organized in a torus- like topology. Each optical crossbar is in multiple-write- multiple-read construction, which provides high connectivity for IP cores. By employing an all optical, token-based arbitration scheme with low complexity, the memory access communication is contention-free. Simulation results show that Testudo improves the performance significantly compared to the electrical mesh topology.
Personality Goes a Long a Way: An Interhemispheric Connectivity Study

Throughout the development of psychology the delineation of personality has played a central role. Together with the NEO-PI-R, a questionnaire derived from the Five Factor Model of Personality, and recent advances in research technology it is now possible to investigate the relationship between personality features and neurophysiological brain processes. The NEO-FFI, the short version of the NEO-PI-R, reliably measures five main personality traits: Neuroticism, Extraversion, Openness to experience, Agreeableness, and Conscientiousness. As behavior and some psychiatric disorders have been related to interhemispheric connectivity, the present study used the combination of transcranial magnetic stimulation (TMS) and electroencephalography (EEG) to measure frontal interhemispheric connectivity and its association with personality as indexed by the NEO-FFI. Results demonstrated that prefrontal interhemispheric connectivity between the left and right dorsolateral prefrontal cortex correlates with Agreeableness in healthy subjects. This is the first study to relate personality features to interhemispheric connectivity through TMS–EEG and suggests that Agreeableness relates to the effectiveness of prefrontal communication between hemispheres.
A new brief screen for adolescent substance abuse.

OBJECTIVE To develop a brief alcohol and other drug (AOD) screening test for adolescents. METHODS A 9-item test was constructed by combining and modifying items from several AOD assessments, and administered concurrently with the Personal Involvement With Chemicals Scale (PICS), the criterion standard. SETTING A hospital-based adolescent clinic. SUBJECTS Fourteen- to 18-year-old patients consecutively arriving for routine medical care who were known to have used AOD. MEASURES Internal consistency of the 9 items was calculated using the Cronbach alpha. The relationship between the brief screen and PICS raw score was determined by stepwise linear regression analysis. The PICS T score has been shown to correctly classify substance abuse treatment need as no treatment (T<35), brief office intervention (T = 35-40), outpatient or short-term treatment (T = 41-54), and inpatient or long-term treatment (T> or =55). Sensitivity and specificity rates for predicting a PICS T score of 55 or higher were calculated from 2 x 2 tables. RESULTS Ninety-nine adolescents were tested (70.7% female, 36.4% black, 32.3% white, 19.2% Hispanic, mean age, 16.3 years). The 9 items had good internal consistency (Cronbach alpha = .79). Stepwise linear regression analysis identified 6 items whose total combined score was highly correlated with PICS (Pearson r = 0.84, P<.01). This model correctly classified 86% of subjects according to the PICS criteria. Two or more yes answers had a sensitivity of 92.3% and specificity of 82.1% for intensive AOD treatment need. The 6 items were arranged into a mnemonic (CRAFFT). CONCLUSIONS Further research must confirm the test's psychometric properties in a general clinic population. However, CRAFFT seems promising as a brief AOD screening test.