Miracle-dz/UniFAR-FTUs huggingface dataset:
Morpheus: Creating Application Objects Efficiently for Heterogeneous Computing

In high performance computing systems, object deserialization can become a surprisingly important bottleneck-in our test, a set of general-purpose, highly parallelized applications spends 64% of total execution time deserializing data into objects. This paper presents the Morpheus model, which allows applications to move such computations to a storage device. We use this model to deserialize data into application objects inside storage devices, rather than in the host CPU. Using the Morpheus model for object deserialization avoids unnecessary system overheads, frees up scarce CPU and main memory resources for compute-intensive workloads, saves I/O bandwidth, and reduces power consumption. In heterogeneous, co-processor-equipped systems, Morpheus allows application objects to be sent directly from a storage device to a coprocessor (e.g., a GPU) by peer-to-peer transfer, further improving application performance as well as reducing the CPU and main memory utilizations. This paper implements Morpheus-SSD, an SSD supporting the Morpheus model. Morpheus-SSD improves the performance of object deserialization by 1.66×, reduces power consumption by 7%, uses 42% less energy, and speeds up the total execution time by 1.32×. By using NVMe-P2P that realizes peer-to-peer communication between Morpheus-SSD and a GPU, Morpheus-SSD can speed up the total execution time by 1.39× in a heterogeneous computing platform.
Trials with metronidazole in amebic dysentery.

Six patients with amebic dysentery were treated with metronidazole (Flagyl). The response to treatment in all cases was rapid; signs and symptoms of amebic dysentery disappeared within 48 hours. In one patient an ameboma resolved after 14 days of treatment. Except for a transient skin eruption in the 18-month-old child during the first 24 hours of treatment, there were no untoward reactions to the drug. We consider metronidazole to be an exceedingly promising drug and probably the most effective amebicidal preparation currently available.
On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies

Taxonomy is indispensable in understanding natural language. A variety of large scale, usage-based, data-driven lexical taxonomies have been constructed in recent years.Hypernym-hyponym relationship, which is considered as the backbone of lexical taxonomies can not only be used to categorize the data but also enables generalization. In particular, we focus on one of the most prominent properties of the hypernym-hyponym relationship, namely, transitivity, which has a significant implication for many applications. We show that, unlike human crafted ontologies and taxonomies, transitivity does not always hold in data-drivenlexical taxonomies. We introduce a supervised approach to detect whether transitivity holds for any given pair of hypernym-hyponym relationships. Besides solving the inferencing problem, we also use the transitivity to derive new hypernym-hyponym relationships for data-driven lexical taxonomies. We conduct extensive experiments to show the effectiveness of our approach.
Bayesian Model Averaging for Propensity Score Analysis

This article considers Bayesian model averaging as a means of addressing uncertainty in the selection of variables in the propensity score equation. We investigate an approximate Bayesian model averaging approach based on the model-averaged propensity score estimates produced by the R package BMA but that ignores uncertainty in the propensity score. We also provide a fully Bayesian model averaging approach via Markov chain Monte Carlo sampling (MCMC) to account for uncertainty in both parameters and models. A detailed study of our approach examines the differences in the causal estimate when incorporating noninformative versus informative priors in the model averaging stage. We examine these approaches under common methods of propensity score implementation. In addition, we evaluate the impact of changing the size of Occam’s window used to narrow down the range of possible models. We also assess the predictive performance of both Bayesian model averaging propensity score approaches and compare it with the case without Bayesian model averaging. Overall, results show that both Bayesian model averaging propensity score approaches recover the treatment effect estimates well and generally provide larger uncertainty estimates, as expected. Both Bayesian model averaging approaches offer slightly better prediction of the propensity score compared with the Bayesian approach with a single propensity score equation. Covariate balance checks for the case study show that both Bayesian model averaging approaches offer good balance. The fully Bayesian model averaging approach also provides posterior probability intervals of the balance indices.
Selection of appropriates E-learning personalization strategies from ontological perspectives

When there are several personalization strategies of E-learning, authors of courses need to be supported for deciding which strategy will be applied for personalizing each course. In fact, the time, the efforts and the learning objects needed for preparing personalized learning scenarios depend on the personalization strategy to be applied. This paper presents an approach for selecting personalization strategies according to the feasibility of generating personalized learning scenarios with minimal intervention of the author. Several metrics are proposed for putting in order and selecting useful personalization strategies. The calculus of these metrics is automated based on the analyses of the LOM (Learning Object Metadata) standard according to the semantic relations between data elements and learners’ characteristics represented in the Ontology for Selection of Personalization Strategies (OSPS).
Prevalence of mental illnesses in US State prisons: a systematic review.

Two federal reports dating from 1999 and 2006 are by far the most widely cited sources for the prevalence of mental illness among persons in U.S. jails and prisons. To provide a broader picture of the issue, the author undertook a systematic review of 28 articles published between 1989 and 2013. Not only did the review confirm the high prevalence of mental illnesses among prisoners, it identified a litany of health problems associated with the incarceration of persons with mental illness and profound difficulties in finding housing and employment after release.
Where did you park your car? Analysis of a naturalistic long-term recency effect

Abstract Three experiments studied the long-term retention of parking locations. In Experiment 1, members of the Applied Psychology Unit (MU) attempted to recall where they had parked during the morning and afternoon of each of the previous 12 working days. A marked recency effect was observed. In Experiment 2, members of the APU Subject Panel were invited for a single test session, and asked where they had parked after a delay of 2 hours, 1 week or 1 month. Recall was excellent and did not differ as a function of delay, allowing a simple trace decay interpretation to be ruled out. A third experiment invited subjects to attend on two occasions separated by a 2-week interval. The subjects were then required to recall their parking locations some 4 weeks after either their first visit or their second visit. Performance in both groups was inferior to that observed in Experiment 2, and declined over time. A temporal discrimination model, based on laboratory studies of both long-term and short-term recency in .
Overview of Multilingual Opinion Analysis Task at NTCIR-7

This paper describes an overview of the Multilingual Opinion Analysis Task from 2007 to 2008 at the Seventh NTCIR Workshop. We created test collections of 22, 17, 17, 16 topics (7,163, 4,711, 6,174, and 5,301 sentences) in Japanese, English, Traditional Chinese, and Simplified Chinese. Using this test collection, we conducted five subtasks: (1) mandatory opinionated sentence judgment, and optional subtasks of (2) relevant sentence judgment, (3) polarity judgment, (4) opinion holder extraction, and (5) opinion target extraction. 32 results were submitted from 21 participants with five results submitted by the organizers. In this paper we present the task definition, the details of the test collection, the evaluation results of the groups that participated in this task, and their approach.
Drug-induced long QT and torsade de pointes: recent advances

Purpose of review A wide array of drugs can cause marked QT prolongation with the associated risk of torsade de pointes. The large number of drugs with this potential, the correspondingly large number of patients exposed to such drugs, and the potentially fatal outcome make drug-induced long QT syndrome an important public health problem. This review focuses on mechanisms underlying QT prolongation and proarrhythmia, risk factors, including the role of genetic variants, and the unifying framework of reduced repolarization reserve. Recent findings While most drugs that prolong the QT block a specific potassium channel, novel mechanisms altering protein trafficking have been discovered. The progression to torsade de pointes may be less related to degree of QT prolongation than to drug effects on transmural dispersion or variability of repolarization. Our understanding of certain predisposing risk factors has been further refined. Summary Ongoing research continues to elucidate the mechanisms underlying drug-induced long QT syndrome. Importantly, studies are establishing improved predictors of risk for progression to torsade de pointes, in addition to the degree of QT prolongation, which is an imperfect predictor. Nonetheless, drug-induced long QT syndrome and torsade de pointes pose unique challenges for clinicians, researchers, drug-development programs, and regulatory agencies.
A Design Chain for Embedded Systems

Today's embedded systems design culture produces custom products from scratch. However, as electronic products become more complex and global competition demands shorter time to market, the industry is moving toward a design process that integrates commodity system-on-chip (SoC) platforms. The article looks at how we go about developing such integration-oriented SoC design flows and evolving a new platform-based design culture.
Impact of oiled and de-oiled olive mill waste amendments on the sorption, leaching, and persistence of S-metolachlor in a calcareous clay soil

Agricultural practices based on periodic inputs of organic amendments are strongly recommended for Mediterranean agro-ecosystems. Such amendments can change the soil's properties and transport characteristics, and hence affect the behaviour and fate of pesticides. S-metolachlor is an herbicide commonly used in intensive crops. The aim of this study was to investigate the influence of fresh oiled (OW) and de-oiled two-phase olive mill waste (DW) amendments on the sorption, leaching, and persistence of the herbicide S-metolachlor in a calcareous clay soil. The soil was amended in the laboratory with OW and DW at the rates of 2.5% and 5% (w/w). Significant increases in S-metolachlor sorption were observed in all amended soils. The addition of OW and DW increased the herbicide half-life from 27 d for the original soil to 41 and 47 d at the higher application rate of OW and DW, respectively. There was a significantly greater retention of the herbicide at the higher OW and DW loading rate. However, whereas the amount of S-metolachlor in the leachate was reduced by increasing the amount of OW, it was unaffected by increasing the amount of DW. The results lend support to the potential of OW and DW amendments as an effective management practice to increase S-metolachlor persistence in soils. This increase does not necessarily ensure decreased leaching of the herbicide but it could also increase the risk of surface water contamination at higher application rate.
Repairing software style using graph grammars

Often, software architects impose a particular style on the software systems they design. For large software systems, they would like to ensure that the design continues to conform to this style during the maintenance phase of the software-life cycle.We will assume that the architectural design of a software system is available; for instance, it may have been extracted from the source code of the system using a parser. We will also assume we have a set of stylistic constraints given by the architect. For example, the architect may want to ensure that if a module X is allowed to use a procedure in a module Y, then module Y needs to export that procedure.We define the Style Repair Problem as follows: If the current architectural design does not satisfy a set of stylistic constraints, how can we repair it so that it does? We choose to represent architectural designs as directed graphs; hence, repairing the style of these designs is equivalent to repairing the graph. We show how graph grammars can be used to automatically repair styles, and we show how this provides insight into the problem of style maintenance.
DEPLETION OF HEAT SHOCK PROTEIN-70 (HSP70) CAUSES APOPTOSIS IN PANCREATIC CANCER CELLS

Insulinomas are rare endocrine neoplasias that constitute the most frequent islet cell tumours. Somatostatin (SST) analogs are tentatively used to inhibit insulin secretion and control tumour growth in patients with local invasion or inoperative metastasis, but variable responses have been reported. Data regarding somatostatin receptor (SSTR) subtypes expression in insulinomas are conflicting. In this study, we evaluated 16 cases of primary insulinomas (including four primary plurihormonal tumours) and two hepatic metastases. Histopathological and immunohistochemical analysis for some features associated with tumour aggressiveness and semi-quantitative RT-PCR for SSTR1-5 and real-time qPCR for SSTR5 were performed. SSTR subtypes 1, 3, and 5 were expressed in 100%, SSTR2 in 89%, and SSTR4 only in 22% of the insulinomas. SSTR5 mRNA was positively correlated with histopathological features related to tumour aggressiveness (large tumour diameter, well-differentiated endocrine tumour with uncertain behaviour and higher number of cells with nuclear atypia). SSTR5 mRNA expression in primary insulinomas was lower than in primary plurihormonal tumours (P < 0.05). The observed positive correlation between SSTR5 expression and tumour size suggests that the use of SST analogues more specific to SSTR5 in the treatment of insulinomas deserves attention.
Improving the visibility of geospatial data on the Web

Geospatial information is a common resource used at personal and corporative levels for decision making. Nowadays, a relevant percentage of the geospatial data on the web is provided by standardized services. However, due to the deficiencies in the service content descriptions, the data required for a task are not easy to find. To improve the description of geospatial information on the Web, this work proposes a process to construct a Linked Data model of geospatial resources that allows semantic searching and browsing. This is done by crawling the web in search of available geospatial services, and enriching their descriptions with concepts from common knowledge organizations models. As use case, we have created a Linked Data model describing the Web Map Services published by Spanish organizations.
Interactive modelling of 3D-environments

Direct 3D-measurement of an environment is increasingly required for many applications such as reverse engineering and CAD modelling. 3D CAD Models are more and more important as reconstruction and documentation of existing plants as well as design studies of new plants are done in 3D recently. Especially simulation and optimisation of plants and manufacturing lines is becoming more and more important. Besides these aspects generation of basic models for mobile robot navigation (initial map) is important, as this map is the base for human robot interaction in real environments (industry, households). This calls for the development of a physical system to survey the environment as well as software tools for transforming measurement data into CAD models. Z+F have developed a laser scanner performing fast and exact, non-contact measurements. The 3D point cloud, resulting from the measurements, has to be transformed into a CAD model for documentation purposes. Conversion from point data to CAD objects is achieved by the interactive application of powerful algorithms which facilitate rapid point-to-primitive translation.
Host specificity in eimerian coccidia: development of Eimeria vermiformis of the mouse, Mus musculus, in Rattus norvegicus

The ability of Eimeria vermiformis, a coccidium which normally parasitizes the mouse, to develop in rats was investigated. The Rowett strain (Lac: RNU) rats were euthymic (rnu/+), treated or untreated with cortisone acetate, and athymic (rnu/rnu). E. vermiformis completed its development only in rnu/rnu rats, which passed small numbers of oocysts capable of sporulating and infecting C57BL/6 mice. In the rnu/+ rats, irrespective of cortisone treatment, development appeared to terminate with the completion of the asexual (schizogonic) stages since no gametocytes were recognized in the tissues and no oocysts were detected in the faeces. The findings are discussed with reference to the factors which govern host specificity.
Validity Issues in the Use of Social Network Analysis for the Study of Online Communities

There is a natural match between studies of online communities and social network analysis (SNA). Information Systems research, in particular, has drawn heavily on the growing data sources available as a by-product of increased online social interaction, conducting social network analyses with this “trace data”. However, this type of data has properties that are distinct from the data upon which researchers in Sociology and Anthropology have typically developed social network measures and their interpretations. This paper examines validity issues deriving from the use of trace data in IS studies of online communities, arguing that more attention needs to be paid to the chain of logic linking data collection, construct development, operationalization and measure interpretation. Four issues are elaborated and illustrated from the literature: 1) unexpected reliability concerns, 2) the need to argue and test the link from ‘found data’ to theoretical constructs, 3) validity problems arising from the stability of the constructs over time and 4) counter-intuitive validity issues deriving from the data being near-complete records of communities’ activities. The paper concludes with recommendations for researchers and reviewers designed to increase the rigor and relevance of SNA research in Information Systems.
Characteristics of Prototype CMOS Quaternary Logic Encoder-Decoder Circuits

The use of quaternary logic input and output signals for delivering information on and off chip could reduce the number of required package pins or increase the amount of information conveyed on a fixed number of package pins. In this correspondence, we discuss the performance of prototype CMOS binary-to-quaternary encoder and quaternary-to-binary decoder test circuits that have been realized on a gate array IC chip.
Coercive population policies, procreative freedom, and morality

I shall briefly evaluate the common claim that ethically acceptable population policies must let individuals to decide freely on the number of their children. I shall ask, first, what exactly is the relation between population policies that we find intuitively appealing, on the one hand, and population policies that maximize procreative freedom, on the other, and second, what is the relation between population policies that we tend to reject on moral grounds, on the one hand, and population policies that use coercive methods such as laws or economic incentives and deterrents, on the other. I shall argue that when changing a population policy, it may be morally desirable to affect people's procreative decisions more rather than less, and that sometimes it may be morally desirable to prefer a population policy that does not maximize procreative freedom to a population policy that does maximize it. I shall also point out that indirect population policies that use incentives and deterrents are not necessarily incompatible with liberal principles. Finally, I try to show what is assumed by those who defend the view that coercive population policies are morally wrong in all circumstances.
Effectiveness of cell outage compensation in LTE networks

Cell outage management is a self-healing functionality in future mobile cellular networks, aiming to automatically detect cell or site level outages (cell outage detection) as well as to mitigate as much as possible the caused degradation of coverage, capacity and/or service quality (cell outage compensation). Cell outage compensation has a variety of control parameters (and combination thereof) at its disposal in surrounding cells/sites, including the reference signal power PRS, antenna tilt, scheduling parameters and the uplink target received power level P0. By appropriately tuning these control parameters, the outage-induced performance effects can be minimised, in terms of some operator-specified balance of relevant performance metrics. This paper analyses the effectiveness of selected control parameters in mitigating the effects of cell/site outages, learning that the antenna tilt and P0 are most effective in restoring coverage, while P0 is most effective in restoring user throughput performance.
Unfolding systemic ideas

Introduces the reader to some important aspects of systems thinking. Begins by offering a historic context of systems ideas, taking the reader on to concepts peculiar to systems and yet found in many areas of interest. Describes and applies concepts such as the openness of systems, the synergy of systems, systems complexity, the holistic view of systems, the notion of hierarchy and so on, to problems of interest to managers at all levels in an organization. Culminates in reference to the current directions of systems thought and practice with particular regard to systems dynamics and the soft systems methodology.