Miracle-dz/UniFAR-FTUs huggingface dataset:
SEED: Scalable, efficient enforcement of dependences

Instruction issue logic is a critical component in modern high-performance out-of-order processors. The ever increasing latencies found in modern processors, mostly associated with memory accesses and longer pipelines, can be attenuated using large issue queues. Conventional designs rely on atomic wakeup-select cycles to ensure compact scheduling. These designs must aggressively utilize broadcasting, compaction, and heavily-ported structures that scale poorly in terms of both power consumption and access time. To provide high scheduling flexibility and large instruction capacity without incurring prohibitive latency and energy overhead, we propose a novel scheme that uses an out-of-order, broadcast-free instruction wakeup block feeding an in-order scheduler. Multi-banked, index-based structures are used throughout this scheme to provide a high degree of scalability while achieving efficient dependence tracking, resulting in good overall performance and energy efficiency. We call this design "Scalable, Efficient Enforcement of Dependences (SEED)". We present a detailed design and analysis of SEED through an extensive evaluation. Compared to a conventional issue queue design, which is assumed favorably to scale in size without any impact on cycle time, the performance degradation of our design is 3% for both INT and FP suites of SPEC CPU2000. For such a small performance cost, SEED enjoys a 19% reduction in total chip power consumption for a 32-entry configuration. We also synthesize SEED and a conventional issue logic with 90nm standard cell logic. Synthesis results show that SEED can cycle twice the speed of a conventional issue logic of equivalent size. Cycling at the same frequency, SEED consumes ten times less dynamic power and five times less static power while achieving substantial area savings.
A. R. Luria And Contemporary Psychology: Festschrift Celebrating The Centennial Of The Birth Of Luria

Preface The Achievements of Lurian Neuropsychology in the Study of the Problem Brain and Mind A. R. Luria (1902-2002): A Retrospective View on Time Alexander Romanovich as a Mastermind of Science Cherishing the Memory of Professor A. R. Luria The Polyphonic Personality of Alexander Luria and the Hamburg Score in Psychology On the Distinctiveness of A. R. Lurias Research Approach Systemic-Dynamic Lurian Theory and Contemporary Cross-Cultural Neuropsychology The Multi-Determined Nature of Neuropsychological Symptoms in Patients with Mental and Somatic Disorders Interhemispheric Asymmetry at Cortical and Subcortical Levels Neuropsychological Screening in Child Populations Ontogeny of Hemispheric Interaction Differential Developmental Neuropsychology Neuropsychological Assessment of 5-6 Year Old Children with Delayed Mental Development Converging Impressions in Russian and American Neuropsychology Cross-cultural Differences in Neuropsychological Performance: A Comparison between American and Russian Samples Index.
A fuzzy-based inference mechanism of trust for improved social recommenders

There have been various definitions, representations and derivations of trust in the context of recommender systems. This article presents a recommender predictive model based on collaborative filtering techniques that incorporate a fuzzy-driven quantifier, which includes two upmost relevant social phenomena parameters to address the vagueness inherent in the assessment of trust in social networks relationships. An experimental evaluation procedure utilizing a case study is conducted to analyze the overall predictive accuracy. These results show that the proposed methodology improves the performance of classical recommender approaches. Possible extensions are then outlined.
Stability and Continuity in Mental Development : Behavioral and Biological Perspectives

Contents: N.A. Krasnegor, Introduction. Part I:Neurobehavioral Functioning. H. Als, F.H. Duffy, G.B. McAnulty, N. Badian, Continuity of Neurobehavioral Functioning in Preterm and Fullterm Newborns. M. Sigman, L. Beckwith, S.E. Cohen, A.H. Parmelee, Stability in the Biosocial Development of the Child Born Preterm. Part II:Physical Status. S.H. Broman, Infant Physical Status and Later Cognitive Development. R.Q. Bell, M.F. Waldrop, Achievement and Cognitive Correlates of Minor Physical Anomalies in Early Development. Part III:Traditional Infant Tests. L.S. Siegel, A Reconceptualization of Prediction from Infant Test Scores. J.V. Hunt, B.A.B. Cooper, Differentiating the Risk for High-Risk Preterm Infants. I.C. Uzgiris, Transformations and Continuities: Intellectual Functioning in Infancy and Beyond. Part IV:Information Processing Capacities. M.H. Bornstein, Stability in Early Mental Development: From Attention and Information Processing in Infancy to Language and Cognition in Childhood. S.A. Rose, Measuring Infant Intelligence: New Perspectives. Part V:Experience R.H. Bradley, The Use of the HOME Inventory in Longitudinal Studies of Child Development C.T. Ramey, M.W. Lee, M.R. Burchinal, Developmental Plasticity and Predictability: Consequences of Ecological Change. R. Bakeman, L.B. Adamson, J.V. Brown, M. Eldridge, Can Early Interaction Predict: How and How Much? M.I. Appelbaum, M.R. Burchinal, R.A. Terry, Quantification Methods and the Search for Continuity R. Plomin, Developmental Behavior Genetics: Stability and Instability O.H. Feldman, M.L. Adams, Intelligence, Stability, and Continuity: Changing Conceptions .
Mind the gap—deficits in our knowledge of aspects impacting the bioavailability of phytochemicals and their metabolites—a position paper focusing on carotenoids and polyphenols

Various secondary plant metabolites or phytochemicals, including polyphenols and carotenoids, have been associated with a variety of health benefits, such as reduced incidence of type 2 diabetes, cardiovascular diseases, and several types of cancer, most likely due to their involvement in ameliorating inflammation and oxidative stress. However, discrepancies exist between their putative effects when comparing observational and intervention studies, especially when using pure compounds. These discrepancies may in part be explained by differences in intake levels and their bioavailability. Prior to exerting their bioactivity, these compounds must be made bioavailable, and considerable differences may arise due to their matrix release, changes during digestion, uptake, metabolism, and biodistribution, even before considering dose‐ and host‐related factors. Though many insights have been gained on factors affecting secondary plant metabolite bioavailability, many gaps still exist in our knowledge. In this position paper, we highlight several major gaps in our understanding of phytochemical bioavailability, including effects of food processing, changes during digestion, involvement of cellular transporters in influx/efflux through the gastrointestinal epithelium, changes during colonic fermentation, and their phase I and phase II metabolism following absorption.
\a Concurrent Le System for a Highly Parallel Mass Storage Subsystem," in a Prototype of Swift Was Built Using Unix and an Ethernet-based Local-area Network

17 When a second Ethernet path was added between the client and the storage agents, the data-rates measured demonstrated that the Swift architecture can make immediate use of a faster interconnection medium. The data-rates for write almost doubled. For read, the improvements were only on the order of 25% because the client could not absorbe the increased network load. Second, simulations show how Swift can exploit more powerful components in the future, and where components limiting I/O performance will be. The simulations show that data-rates under Swift scale proportionally to the size of the transfer unit and the number of storage agents when suucient interconnection capacity is available. Even though Swift was designed with very large objects in mind, it can also handle small objects, such as those encountered in normal le systems. The penalties incurred are one round trip time for a short network message, and the cost of computing the parity code. Swift is also well suited as a swapping device for high performance work stations if no data redundancy is used. The distributed nature of Swift leads us to believe that it will be able to exploit all the current hardware trends well into the future: increases in processor speed and network capacity , decreases in volatile memory cost, and secondary storage becoming very inexpensive but not much faster. The Swift architecture also has the exibility to use alternative data storage technologies, such as arrays of digital audio tapes. Lastly, a system like our prototype can be installed easily using much of the existing hardware. It can be used to fully exploit the emerging high-speed networks and the large installed base of le servers. Acknowledgements. We are grateful to those that contributed to this work including Daniel Edelson for his assistance with the simulator, Aaron Emigh for his work on the prototype and in measuring its performance, Laura Haas, Richard Golding and Mary Long for their thoughtful comments on the manuscript, Dean Long for building the custom kernels necessary for our measurements, and John Wilkes for stimulating discussions on distributed le systems. 16 Swift incorporates data management techniques long present in centralized computing systems into a distributed environment. In particular, it can be viewed as a generalization to distributed systems of I/O channel architectures found in mainframe computers 21]. 6.1 Future Work There are two areas that we intend to address in the future: enhancing our current …
The integrated memory model: A new framework for understanding the mechanisms of change in psychotherapy

In this response to commentaries on our target article, we highlight and clarify a variety of issues and respond to several comments, challenges, and misconceptions. Topics covered include the mechanisms of enduring change, the nature of memory, the conditions in which memories are updated, the role of emotional arousal in change, and current limitations in our understanding of the neural basis of change in psychotherapy. It is our hope that through research stimulated by this exchange the latter may be advanced.
Control strategies of three-phase distributed generation inverters for grid unbalanced voltage compensation

The high penetration level of power electronics interfaced Distributed Generation (DG) systems creates great ancillary services potential through the DG interfacing converters (IFCs) such as the grid unbalanced voltage compensation. However, the unbalanced voltage compensation may cause adverse effects on the IFCs' operation such as output active power oscillation and DC link voltage variations. Moreover, since the compensation is realized through the available rating of IFCs, it is equally important to consider the effectiveness of control strategy for unbalanced voltage compensation. Considering these challenging issues, two grid unbalanced voltage compensation strategies for three-phase power electronics interfaced DG system are proposed in this paper. Specially, the first control strategy aims at minimizing the IFC's active power oscillation and reducing the adverse effects of unbalanced voltage compensation on IFC's operation. The second control strategy focuses on the effectiveness of unbalanced voltage compensation by controlling IFC's negative sequence current to be in-phase with the grid negative sequence current. Performances of the two proposed control strategies under different grid conditions and IFC operating conditions are studied. Finally, validity of proposed strategies is verified by experimental results.
SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units

The availability of huge system memory, even on standard servers, generated a lot of interest in main memory database engines. In data warehouse systems, highly compressed column-oriented data structures are quite prominent. In order to scale with the data volume and the system load, many of these systems are highly distributed with a shared-nothing approach. The fundamental principle of all systems is a full table scan over one or multiple compressed columns. Recent research proposed different techniques to speedup table scans like intelligent compression or using an additional hardware such as graphic cards or FPGAs. In this paper, we show that utilizing the embedded Vector Processing Units (VPUs) found in standard superscalar processors can speed up the performance of mainmemory full table scan by factors. This is achieved without changing the hardware architecture and thereby without additional power consumption. Moreover, as on-chip VPUs directly access the system's RAM, no additional costly copy operations are needed for using the new SIMD-scan approach in standard main memory database engines. Therefore, we propose this scan approach to be used as the standard scan operator for compressed column-oriented main memory storage. We then discuss how well our solution scales with the number of processor cores; consequently, to what degree it can be applied in multi-threaded environments. To verify the feasibility of our approach, we implemented the proposed techniques on a modern Intel multi-core processor using Intel® Streaming SIMD Extensions (Intel® SSE). In addition, we integrated the new SIMD-scan approach into SAP® Netweaver® Business Warehouse Accelerator. We conclude with describing the performance benefits of using our approach for processing and scanning compressed data using VPUs in column-oriented main memory database systems.
Industrial Routing Requirements in Low-Power and Lossy Networks

Wireless, low power field devices enable industrial users to significantly increase the amount of information collected and the number of control points that can be remotely managed. The deployment of these wireless devices will significantly improve the productivity and safety of the plants while increasing the efficiency of the plant workers. For wireless devices to have a significant advantage over wired devices in an industrial environment the wireless network needs to have three qualities: low power, high reliability, and easy installation and maintenance. The aim of this document is to analyze the requirements for the routing protocol used for low power and lossy networks (L2N) in industrial environments.
VEGFA/VEGFR2-targeted therapies prevent the VEGFA-induced proliferation of regulatory T cells in cancer

Some of the anti-angiogenic agents currently used to treat solid malignancies have effects on tumor endothelial cells as well as on immune cells. We have recently demonstrated that targeting the vascular endothelial growth factor A (VEGFA)/VEGF receptor 2 (VEGFR2) signaling pathway reduces the proportion of regulatory T cells (Treg) in a mouse model of colorectal cancer (CRC) and in metastatic CRC patients as it inhibits tumor-induced Treg proliferation.
Critical Approach in Information Systems Research: The Differences that Matter

Critical IS research encompasses a wide range of diverse research endeavours that frame their purpose in the context of critical theoretic concerns, such as domination, power and control, on one hand, and liberation, empowerment and emancipation, on the other. Critical social research has eminently practical and essentially democratic purposes. It seeks to achieve emancipatory social change by explaining ‘a social order in such a way that it becomes itself the catalyst which leads to the transformation of this social order’ (Fay 1987, p. 27). In doing so critical IS researchers are challenging the established regimes of truth and norms of knowledge production in both the IS discipline and IS practice. However, compared to positivist and interpretive approaches, critical IS research has not as yet been accepted as an equally valid and legitimate option. To address these concerns the paper revisits the distinguishing characteristics of the critical IS research scholarship, its purpose and theoretical foundations, and specifically examines the methodology question.
The Embryo and Its Future1

Abstract The preimplantation mammalian embryo from different species appears sensitive to the environment in which it develops, either in vitro or in vivo, for example, in response to culture conditions or maternal diet. This sensitivity may lead to long-term alterations in the characteristics of fetal and/or postnatal growth and phenotype, which have implications for clinical health and biotechnological applications. We review the breadth of environmental influences that may affect early embryos and their responses to such conditions along epigenetic, metabolic, cellular, and physiological directions. In addition, we evaluate how embryo environmental responses may influence developmental potential and phenotype during later gestation. We conclude that a complex of different mechanisms may operate to associate early embryo environment with future health.
Modelling Grammar Constraints with Answer Set Programming

Representing and solving constraint satisfaction problems is one of the challenges of artificial intelligence. In this paper, we present answer set programming (ASP) models for an important and very general class of constraints, including all constraints specified via grammars or automata that recognise some formal language. We argue that our techniques are effective and efficient, e.g., unit-propagation of an ASP solver can achieve domain consistency on the original constraint. Experiments demonstrate computational impact.
Zinc is a novel intracellular second messenger

Zinc is an essential trace element required for enzymatic activity and for maintaining the conformation of many transcription factors; thus, zinc homeostasis is tightly regulated. Although zinc affects several signaling molecules and may act as a neurotransmitter, it remains unknown whether zinc acts as an intracellular second messenger capable of transducing extracellular stimuli into intracellular signaling events. In this study, we report that the cross-linking of the high affinity immunoglobin E receptor (Fcɛ receptor I [FcɛRI]) induced a release of free zinc from the perinuclear area, including the endoplasmic reticulum in mast cells, a phenomenon we call the zinc wave. The zinc wave was dependent on calcium influx and mitogen-activated protein kinase/extracellular signal-regulated kinase kinase activation. The results suggest that the zinc wave is involved in intracellular signaling events, at least in part by modulating the duration and strength of FcɛRI-mediated signaling. Collectively, our findings indicate that zinc is a novel intracellular second messenger.
Towards a cultural understanding of academic worlds

The person to whom this book represents a tribute spent much of his life in an academic world. It is a complex place, inhabited by strange and sometimes idiosyncratic beings who align themselves with particular discipline groupings, from accounting to zoology. In this essay the author notes that the academic world has been analysed from many different perspectives, but argues that one of the most effective means of doing so is through the adoption of a cultural framework using a values-and-beliefs perspective.
Complications of Posterior Cervical Plating

Study Design This retrospective clinical study evaluates complications occurring during or immediately after surgery of posterior cervical plating. Objectives The present study quantities risks associated with posterior cervical plating using lateral mass screw fixation. The observed clinical complications are compared with theoretical risks previously studied in cadavers. Unanticipated complications are identified. Summary of Background Data There are many reports that describe posterior cervical plating and attempt to describe the indications for using this type of fixation, but few studies have discussed the clinical complications incurred by application of these plates and screws. Methods Seventy-eight consecutive patients whose treatment included posterior cervical lateral mass plating were independently reviewed to identify associated complications. The average patient age was 52.9 years, and the average follow-up period was 2 years (range, 10–47 months). Multiple indications for surgery were present, but complex reconstructive procedures were required in 70.5% of cases. Complication rates were calculated as either a percentage of the number of screws inserted or as a percentage of the number of cases performed or both. Results Six hundred fifty-four screws were inserted—an average of 8.4 screws per patient. Complication rates as a function of the number of screws inserted included nerve root injury, 0.6%; facet violations, 0.2%; vertebral artery injury, 0%; broken screw, 0.3%; screw avulsion, 0.2%; and screw loosening 1.1% Complications as a percentage of the number of cases performed included spinal cord injury, 2.6%; iatrogenic foraminal stenosis, 2.6%; broken plate, 1.3%; lost reduction, 2.6%; adjacent segment degeneration, 3.8%; infection, 1.3%; and pseudoarthrosis, 1.4%. Conclusions Cadaveric work has predicted certain anatomic complications rates associated with lateral mass screw insertion. This study finds the risk of lateral mass screw insertion to be considerably less than predicted in vitro. The present study reports other complications that were not predicted in laboratory studies.
Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model.

IMPORTANCE Because effective interventions to reduce hospital readmissions are often expensive to implement, a score to predict potentially avoidable readmissions may help target the patients most likely to benefit. OBJECTIVE To derive and internally validate a prediction model for potentially avoidable 30-day hospital readmissions in medical patients using administrative and clinical data readily available prior to discharge. DESIGN Retrospective cohort study. SETTING Academic medical center in Boston, Massachusetts. PARTICIPANTS All patient discharges from any medical services between July 1, 2009, and June 30, 2010. MAIN OUTCOME MEASURES Potentially avoidable 30-day readmissions to 3 hospitals of the Partners HealthCare network were identified using a validated computerized algorithm based on administrative data (SQLape). A simple score was developed using multivariable logistic regression, with two-thirds of the sample randomly selected as the derivation cohort and one-third as the validation cohort. RESULTS Among 10 731 eligible discharges, 2398 discharges (22.3%) were followed by a 30-day readmission, of which 879 (8.5% of all discharges) were identified as potentially avoidable. The prediction score identified 7 independent factors, referred to as the HOSPITAL score: h emoglobin at discharge, discharge from an o ncology service, s odium level at discharge, p rocedure during the index admission, i ndex t ype of admission, number of a dmissions during the last 12 months, and l ength of stay. In the validation set, 26.7% of the patients were classified as high risk, with an estimated potentially avoidable readmission risk of 18.0% (observed, 18.2%). The HOSPITAL score had fair discriminatory power (C statistic, 0.71) and had good calibration. CONCLUSIONS AND RELEVANCE This simple prediction model identifies before discharge the risk of potentially avoidable 30-day readmission in medical patients. This score has potential to easily identify patients who may need more intensive transitional care interventions.
Heritable Custom Genomic Modifications in Caenorhabditis elegans via a CRISPR–Cas9 System

We adapted the CRISPR–Cas9 system for template-mediated repair of targeted double-strand breaks via homologous recombination in Caenorhabditis elegans, enabling customized and efficient genome editing. This system can be used to create specific insertions, deletions, and base pair changes in the germline of C. elegans.