Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-classical HLA-class I expression in serous ovarian carcinoma: Correlation with the HLA-genotype, tumor infiltrating immune cells and prognosis

In our previous studies, we have shown that patients with serous ovarian carcinoma in advanced surgical stage disease have a particularly poor prognosis if they carry the HLA-A*02 genotype. This represent a stronger prognostic factor than loss or downregulation of the MHC class I heavy chain (HC) on tumor cells. In this study, we investigated the expression of the non-classical, immune tolerogenic HLA -G and -E on the tumor cells along with the infiltration of immune cells in the tumor microenvironment. FFPE primary tumors from 72 patients with advanced stages of serous adenocarcinoma and metastatic cells present in ascites fluid from 8 additional patients were included in this study. Both expression of HLA-G and aberrant expression of HLA-E were correlated to a significant worse prognosis in patients with HLA-A*02, but not with different HLA genotypes. Focal cell expression of HLA-G correlated to a site-specific downregulation of classical MHC class I HC products and aberrant HLA-E expression, showing a poor survival. HLA-G was more frequently expressed in metastatic cells than in primary tumor lesions and the expression of HLA-G inversely correlated with the frequency of tumor infiltrating immune cells. All these parameters can contribute together to identify and discriminate subpopulations of patients with extremely poor prognosis and can give them the opportunity to receive, and benefit of individually tailored treatments.
Quelle place pour la durabilité dans les représentations sociales de la mobilité ? Vers une meilleure compréhension des actions mises en œuvre

En identifiant les representations sociales de la mobilite a partir d’entretiens semi-directifs (n =29), cet article permet de mieux comprendre les actions engagees par les acteurs de la mobilite et de questionner la place de la durabilite. Les resultats attestent de la limitation de la question de la durabilite a sa vision d’abord economique puis environnementale, tandis que l’aspect social n’est que peu present. Dans une autre approche de la durabilite, « se deplacer plus efficacement » et « se deplacer autrement » apparaissent comme des enjeux majeurs de la mobilite, le concept de « se deplacer moins » etant absent des representations. Cela ouvre la voie a la necessite d’une approche plus large de la mobilite que sa simple composante « deplacement ».
Acceleration of control flows on Reconfigurable Architecture with a composite method

Control-intensive kernels are becoming the bottleneck that limits the performance of Coarse-Grained Reconfigurable Architecture. Some methods, such as predicated execution, speculative execution, and dual-issue-single-execution, have been proposed to alleviate this problem. But they cannot be always efficient for various control flows. This paper proposes a new architecture, which combines the techniques of triggered instruction and parallel condition, in order to solve the problem completely. The architecture utilizes the basic framework of the triggered instruction to avoid over-serialized execution and branch instruction. Meanwhile, it takes the mechanism of the parallel condition to explore the parallelism between predicate and compute instructions without reconciliation operations. The mechanism of executing multiple instructions that have internal control dependence in parallel is discussed as well. The experiment result shows that the proposed architecture can achieve 20.9% to 140.0% higher performance than that of triggered instruction architecture in terms of cycle count.
Effects of cannabis use and subclinical depression on the P3 event-related potential in an emotion processing task

Abstract The effects of residual cannabis use on emotional expression recognition and the P3 event-related potential in participants who scored highly for subclinical depression were investigated. Comparisons were made between participants who were classified as depressed or nondepressed cannabis users, depressed non-cannabis users and controls who neither used cannabis nor were characterized as being depressed. In an emotional expression recognition task, participants were asked to respond to faces depicting happy, angry, fearful, and neutral faces either implicitly, explicitly, or empathically. Residual cannabis use and mood was shown to modulate the P3 event related potential during the task. There was a significant reduction in the P3 amplitude between depressed and nondepressed participants. Residual cannabis use further reduced the P3 amplitude with the greatest deficits being associated with cannabis users who scored highly for subclinical depression. These effects were greatest for explicit and empathic processing of faces depicting negative emotions. We conclude from our study that cannabis and mood state interact to reduce the amplitude of the P3 which has been associated with attention to emotion.
Perceptions of Self-Care Among MSW Students: Implications for Social Work Education

ABSTRACT For students new to social work, self-care is a strategy for addressing potentially negative impacts of the profession. Curiously, however, participation in a university’s self-care program has been chronically low. The purpose of this study is to explore social work students’ perceptions of self-care and to create a database for supporting changes in social work education. Qualitative data were collected via an online survey from MSW students. The findings revealed 5 categories for student perceptions of self-care, including health, time, activities, balance, and professionalism, and 3 categories for self-care and the social work program, including academic program experiences, resources, and modeling. Implications of the study in developing and tailoring a self-care program to students in MSW programs are discussed.
An ontology-based approach to human telepresence

Detecting human presence automatically is a challenging task since several environmental parameters may affect the quality and the continuity of detection. Although many techniques have been developed so far in the literature to solve this problem, they generally rely on well-defined operational context. Hence, they are sensitive to uncontrolled variables and unpredicted events. In this work an ontology-based approach to human telepresence detection is presented. Contrarily to classic sensor-driven techniques, a top-down methodology is applied. Starting from a formal description of the problem ontology, a set of high-response rate and low-response rate sensors is employed in a computational model. As a consequence of this model, a multi-sensor equipped device has been experimentally setup to conduct measurements on real scenarios. Experiments have been devised to estimate the robustness of the detection. In particular, some preliminary evaluations related to using a minimal set of chemical sensors are reported.
A space-saving end-effector with capture and actuation transmission capabilities

A space-saving end-effector is designed for small scale manipulator in this paper. The end-effector is equipped with capture and actuation transmission capabilities. Two subsystems are highly integrated systems of mechanics, electronics and sensors. A trefoil shaped capture system is developed for closed envelop. The worm shaft and worm wheels are adopted for the self-locking property, and they are used in a unique manner. Straight path generation of linkage is proposed in the transmission system. The multisensory system and hardware architecture provide the foundation for control strategies. The effectiveness of the end-effector is verified by simulation and the capturing tolerance is obtained.
d2-LBDR: Distance-driven routing to handle permanent failures in 2D mesh NoCs

With the advent of deep sub-micron technology, fault-tolerant solutions are needed to keep many-core chips operative. In NoCs, Logic Based Distributed Routing (LBDR) proved to be a flexible routing framework for 2D meshes with link and router faults. However, to provide full coverage, LBDR requires a module named FORKS which replicates some messages. This imposes the use of virtual cut-through switching and a complex router arbiter, increasing excessively the router cost, mainly in buffer area. Also, some failure combinations require the use of a non-trivial dynamic reconfiguration strategy to avoid deadlocks. We propose d2-LBDR which adds, on every router, a distance register to the closest failure. This enables the support of more failure combinations without an excessive implementation cost. Indeed, we restore the use of wormhole switching, keeping router architecture simple, while achieving the same fault coverage as the best LBDR version, without requiring complex switching strategies nor any dynamic reconfiguration strategy. Results show that a small area overhead (3%) is enough for the implementation of a fully flexible routing method without any limiting support case when compared with LBDR. d2-LBDR reduces area overhead over the best LBDR approach (300% overhead against 3%) while preserving fault coverage. Results show d2-LBDR performance equal to LBDR.
Input-driven dynamic execution prediction of streaming applications

Streaming applications are promising targets for effectively utilizing multicores because of their inherent amenability to pipelined parallelism. While existing methods of orchestrating streaming programs on multicores have mostly been static, real-world applications show ample variations in execution time that may cause the achieved speedup and throughput to be sub-optimal. One of the principle challenges for moving towards dynamic orchestration has been the lack of approaches that can predict or accurately estimate upcoming dynamic variations in execution efficiently, well before they occur. In this paper, we propose an automated dynamic execution behavior prediction approach that can be used to efficiently estimate the time that will be spent in different pipeline stages for upcoming inputs without requiring program execution. This enables dynamic balancing or scheduling of execution to achieve better speedup. Our approach first uses dynamic taint analysis to automatically generates an input-based execution characterization of the streaming program, which identifies the key control points where variation in execution might occur with the associated input elements that cause these variations.We then automatically generate a light-weight emulator from the program using this characterization that can simulate the execution paths taken for new streaming inputs and provide an estimate of execution time that will be spent in processing these inputs, enabling prediction of possible dynamic variations. We present experimental evidence that our technique can accurately and efficiently estimate execution behaviors for several benchmarks. Our experiments show that dynamic orchestration using our predicted execution behavior can achieve considerably higher speedup than static orchestration.
Food for talk: photo frames to support social connectedness for elderly people in a nursing home

Tapered retainer-side guides (49) are formed at opening edges of through holes (47) excluding their communicating areas with corresponding jig insertion openings (48), and the front end surface of a housing (10) is formed with slanted housing-side guides (15) in the communicating areas of the opening edges of the through holes (47) with the jig insertion openings (48) when a retainer (40) is at a full locking position. Slanted guiding surfaces are formed over the entire peripheries of the opening edges of the through holes (47) by the retainer-side guides (49) and the housing-side guides (15). Thus, tabs of male terminal fittings can be securely guided to insertion openings (14).
Contaminations in genomic sequences

Despite continued advances in whole genome sequencing techniques and the development of powerful assembly algorithms, newly sequenced genomes still often suffer from contaminations during the sequencing process. The most common sources of contamination are accessory DNAs deliberately attached to the DNA/RNA under investigation, including vectors, adapters, linkers and PCR primers. However, there are also unintended events, e.g. caused by transposon activity or simply impurities, leading to contaminated genomic sequences. These may then result in missassemblies of genomic sequences, meaningless analyses and potentially erroneous conclusions. However, no one knows to which extent publicly available genomes are contaminated. To encompass this unsatisfying situation we therefore plan to develop a comparative genomics approach to broadly identify contaminations in available genomic sequences. However there exist some tools those can find contaminations from adapters or from vectors alone. Here we present an approach based on machine learning to distinguish between contaminated and non-contaminated sequences instead of finding vector contaminations or adapter contaminations alone. As for now no such tool available, our approach would be foremost and showed promising results on different datasets.
Ramsey Monetary Policy and International Relative Prices

We analyze welfare maximizing monetary policy in a dynamic two-country model with price stickiness and imperfect competition. In this context, a typical terms of trade externality affects policy interaction between independent monetary authorities. Unlike the existing literature, we remain consistent to a public finance approach by an explicit consideration of all the distortions that are relevant to the Ramsey planner. This strategy entails two main advantages. First, it allows an accurate characterization of optimal policy in an economy that evolves around a steady-state which is not necessarily efficient. Second, it allows to describe a full range of alternative dynamic equilibria when price setters in both countries are completely forward-looking and households' preferences are not restricted. In this context, we study optimal policy both in the long-run and along a dynamic path, and we compare optimal commitment policy under Nash competition and under cooperation. By deriving a second order accurate solution to the policy functions, we also characterize the welfare gains from international policy cooperation.
Effects of different molecular weight elastoviscous hyaluronan solutions on articular nociceptive afferents.

OBJECTIVE To compare 3 different hyaluronan (HA) preparations used as therapeutic agents for osteoarthritis pain in humans in order to establish the degree to which a single application affects the sensitivity of nociceptors in both the normal and the acutely inflamed rat joint. METHODS In anesthetized rats, single-unit recordings were performed from the medial articular nerve of the right knee joint under normal conditions and during an acute experimental arthritis. Fifty fine afferent units (conduction velocities 0.8-15.3 meters/second) responded to passive movements of the knee joint. They were exposed to a torque meter-controlled, standardized stimulus protocol consisting of innocuous and noxious inward and outward rotations of the joint. This stimulus protocol of 50 seconds' duration was repeated every 5 minutes for 2-3 hours. Three commercially available HA preparations and a buffer solution, the solvent of these preparations, were injected intraarticularly after discharges resulting from 6 stimulus protocols were averaged and used as controls. RESULTS Both in normal and in inflamed joints, the injection of Hyalgan did not reduce nerve impulse frequency of the evoked discharges. The injections of Orthovisc had no effect in normal joints, but produced a transient frequency reduction of the evoked discharge in inflamed joints. Synvisc significantly reduced (by an average of 50%) the impulse discharge in both normal and inflamed joints 50 minutes after injection, and this level of impulse discharge continued until the end of the recording period (120-130 minutes after injection). The buffer, which had elastoviscous properties substantially different from those of Hyalgan, Orthovisc, and Synvisc, had no such effect. CONCLUSION We conclude that the elastoviscous properties of HA solutions are determining factors in reducing pain-eliciting nerve activity both in normal and in inflamed rat joints.
Ca2+-Sensor Proteins in the Autophagic and Endocytic Traffic

Autophagy and endocytosis are two evolutionarily conserved catabolic processes that comprise vesicle trafficking events for the clearance of the sequestered intracellular and extracellular cargo. Both start differently but end in the same compartment, the lysosome. Mounting evidences from the last years have established the involvement of proteins sensitive to intracellular Ca2+ in the control of the early autophagic steps and in the traffic of autophagic, endocytic and lysosomal vesicles. However, this knowledge is based on dispersed outcomes that do not set up a consensus model of the Ca2+-dependent control of autophagy and endocytosis. Here, we will provide a critical synopsis of insights from the last decade on the involvement of Ca2+-sensor proteins in the activation of autophagy and in fusion events of endocytic vesicles, autophagosomes and lysosomes.
Local peptide movement in the photoreaction intermediate of rhodopsin

Photoactivation of the visual rhodopsin, a prototypical G protein-coupled receptor (GPCR), involves efficient conversion of the intrinsic inverse-agonist 11-cis-retinal to the all-trans agonist. This event leads to the rearrangement of the heptahelical transmembrane bundle, which is thought to be shared by hundreds of GPCRs. To examine this activation mechanism, we determined the x-ray crystallographic model of the photoreaction intermediate of rhodopsin, lumirhodopsin, which represents the conformational state having the nearly complete all-trans agonist form of the retinal. A difference electron density map clearly indicated that the distorted all-trans-retinal in the precedent intermediate bathorhodopsin relaxes by dislocation of the β-ionone ring in lumirhodopsin, along with significant peptide displacement in the middle of helix III, including approximately two helical turns. This local movement results in the breaking of the electrostatic interhelical restraints mediated by many of the conserved residues among rhodopsin-like GPCRs, with consequent acquisition of full activity.
A new linear adaptive controller: design, analysis and performance

The certainty equivalence and polynomial approach, widely used for designing adaptive controllers, leads to "simple" adaptive control designs that guarantee stability, asymptotic error convergence, and robustness, but not necessarily good transient performance. Backstepping and tuning functions techniques, on the other hand, are used to design adaptive controllers that guarantee stability and good transient performance at the expense of a highly nonlinear controller. In this paper, we use elements from both design approaches to develop a new certainty equivalence based adaptive controller by combining backstepping based control law with a normalized adaptive law. The new adaptive controller guarantees stability and performance, as well as parametric robustness for the nonadaptive controller, that are comparable with the tuning functions scheme, without the use of higher order nonlinearities.
Individual-Tree Basal Area Growth , Survival , and Total Height Models for Upland Hardwoods in the Boston Mountains of Arkansas

Mod& were developed for individual-tree basal area growth, survival, and total heights for different species of upland hardwoods in the Boston Mountains of north Arkansas. Data used were from 87 permanentplots located in an array of different sites and stand ages; the plots were thinned to different stocking levels and included unthinned controls. To test these three tree models, stand developmentfor 5 and 10 yr were simulated in terms of stand basal area/at, numbers of trees/at, and quadratic mean diameter. Percent mean differences for the three variables indicated no serious biases. A long-term projection of 100 yr to test model reasonableness showed development that would be consistent with these stands. These equations provideforest managers thefirst upland hardwood individual-tree growth models specifically for this region. South. J. Appl. For. 22(3):184-192. Forest stand growth and development are primary concerns of forest managers, and the information sought today goes far beyond the aggregate stand values they were content to use in the past. Today’s managers desire not only aggregate information, but also data by species, diameters, heights, etc., so that they can apply their own merchantability standards to generate stand summaries. Such detailed data are also useful for nontimber applications, such as estimating potential mast production for wildlife. This appetite for detailed information can often be satisfied best with individual-tree growth models, where data for each stem are maintained for later summarization in a number of formats. Although there are models for upland hardwoods in other regions (Harrison et al. 1986, Hilt 1985, Shifley 1987), we do not have one for oaks and other upland hardwood species for the Boston Mountains. Therefore, the purpose of this analysis is to develop individual-tree equations for basal area growth, survival, and total tree heights for upland hardwood species in this region. NATE: Paul A. Murphy is corresponding author and can be reached at (870) 367-3464; Fax: (870) 367-l 164; E-mail: murphy_paul/ srs_monticello@fs.fed. us. Manuscript received January 21, 1997; accepted September 15, 1997. Study Area and Description The Boston Mountains are the highest and southernmost member of the Ozark Plateau physiographic province (Figure 1). They form a band 30 to 40 miles wide and 200 miles long from north central Arkansas westward into eastern Oklahoma. Elevations range from about 900 ft in the valley bottoms to 2,500 ft at the highest point. The
Workload-Aware Elastic Striping With Hot Data Identification for SSD RAID Arrays

Redundant array of independent disk (RAID) offers a good option to provide device-level fault tolerance for solid-state drives (SSDs). However, parity update with either read–modify–write or read–reconstruct–write may introduce a lot of extra I/Os and thus significantly degrades SSD RAID performance. To reduce the parity update cost, elastic striping chooses to reconstruct new stripes with only the newly updated data chunks instead of directly updating parity chunks. However, it necessitates an RAID-level garbage collection (GC) process, which may incur a very high cost due to the mixture of hot and cold data chunks. To address this problem, we follow the idea of elastic striping and propose a workload-aware scheme (WAS) to reduce the RAID-level GC cost so as to improve the performance and endurance of SSD RAID. In particular, we first develop a novel lightweight hot data identification scheme which requires only a very small computation time and memory cost, then propose a hotness-aware elastic striping approach to separately write data chunks with different hotness to different regions in SSD RAID. To evaluate the effectiveness and efficiency of our WAS, we implement a prototype system on RAID-5 and RAID-6 arrays composed of commercial SSDs. Experimental results show that compared to original elastic striping, our scheme reduces 30.0%–70.6% (and 23.9%–63.2%) of chunk writes under the RAID-5 (and RAID-6) settings, and also reduces the average response time by 60.9%–79.3% (and 56.8%–80.9%) for RAID-5 (and RAID-6), respectively. Besides, our scheme also improves the endurance and reliability of SSD RAID compared to original elastic striping.