Miracle-dz/UniFAR-FTUs huggingface dataset:
Surveillance and monitoring of acute alcohol-related problems in the emergency room.

The ability to monitor rates of serious alcohol-related harms in the population, both across time and place, is an essential cornerstone of any comprehensive policy to address these harms. Emergency Rooms (ERs) are ideal settings to identify and monitor new emerging trends in risky patterns of alcohol and other substance use that increase the risk of injury, overdose or poisoning and many of the acute harms caused by excessive drinking. The establishment of ongoing population based surveillance ER systems to detect such trends can be an invaluable approach for early detection and intervention for a variety of health problems. One challenge to overcome in relation to alcohol-related trauma is the reliable identification of cases which are at least partially caused by alcohol. Five main opportunities for monitoring and surveillance are discussed: (i) surveys of attendees, (ii) objective tests of breath or blood alcohol level, (iii) brief additional questions, flags or codes in routine records, (iv) application of etiologic fractions to diagnostic data, and (v) the development of surrogate measures indicative of high alcohol involvement. While some of these measures have been validated and applied in the evaluation of local harm reduction interventions, they are rarely employed in surveillance and monitoring systems. We argue in this chapter that multi-method approaches can be created in sentinel ER sites as a component of comprehensive monitoring and surveillance systems. Such an approach is perhaps best located within a broad injury and/or poisoning surveillance system.
Persistence of Free Plasmid DNA in Soil Monitored by Various Methods, Including a Transformation Assay

The persistence and stability of free plasmid pUC8-ISP DNA introduced into 10-g samples of various soils and kept at 23°C were monitored over a period of 60 days. The soils were sampled at a plant science farm and included a loamy sand soil (no. 1), a clay soil (no. 2), and a silty clay soil (no. 3). Four different methods allowed monitoring of (i) the production of acid-soluble radioactive material from [3H]thymidine-labeled plasmid DNA, (ii) the decrease of hybridizing nucleotide sequences in slot blot analysis, (iii) the loss of plasmid integrity measured by Southern hybridization, and (iv) the decay of the biological activity as determined by transformation of Ca2+-treated Escherichia coli cells with the DNA extracted from soil. Acid-soluble material was not produced within the first 24 h but then increased to 45% (soil no. 1), 27% (soil no. 2), and 77% (soil no. 3) until the end of incubation. A quite parallel loss of material giving a slot blot hybridization signal was observed. Southern hybridization indicated that after 1 h in the soils, plasmid DNA was mostly in the form of circular and full-length linear molecules but that, depending on the soil type, after 2 to 5 days full-length plasmid molecules were hardly detectable. The transforming activity of plasmid DNA reextracted from the soils followed inactivation curves over 2 to 4 orders of magnitude and dropped below the detection limit after 10 days. The inactivation was slower in soil no. 2 (28.2-h half-life time of the transforming activity of a plasmid molecule) than in soils no. 3 (15.1 h) and no. 1 (9.1 h). The studies provide data on the persistence of free DNA molecules in natural bacterial soil habitats. The data suggest that plasmid DNA may persist long enough to be available for uptake by competent recipient cells in situ.
Effects of tesmilifene, a substrate of CYP3A and an inhibitor of P‐glycoprotein, on the pharmacokinetics of intravenous and oral docetaxel in rats

Objectives It has been reported that docetaxel is a P‐glycoprotein substrate and is metabolized via the cytochrome P450 (CYP) 3A subfamily in rats. Tesmilifene is a substrate of the CYP3A subfamily and is an inhibitor of P‐glycoprotein. Thus, the effects of various doses of tesmilifene on the pharmacokinetics of intravenous and orally administered docetaxel have been investigated in rats.
Telomere length is inherited with resetting of the telomere set-point

We have studied models of telomerase haploinsufficiency in humans and mice to analyze regulation of telomere length and the significance of “set points” in inheritance of telomere length. In three families with clinical syndromes associated with short telomeres resulting from haploinsufficient mutations in TERT, the gene encoding telomerase reverse transcriptase, we asked whether restoration of normal genotypes in offspring of affected individuals would elongate inherited short telomeres. Telomeres were shorter than normal in some but not all genotypically normal offspring of telomerase-mutant parents or grandparents. Analysis of these findings was complicated by heterogeneity of telomere length among individuals, as well as by the admixing of telomeres inherited from affected parents with those inherited from unaffected (“wild-type” TERT) parents. To understand further the inheritance of telomere length, we established a shortened-telomere mouse model. When Tert+/− heterozygous mice were successively cross-bred through 17 generations, telomere length shortened progressively. The late-generation Tert+/− mice were intercrossed to produce genotypically wild-type Tert+/+ mice, for which telomere length was characterized. Strikingly, telomere length in these Tert+/+ mice was not longer than that of their Tert+/− parents. Moreover, when successive crosses were carried out among these short-telomere Tert+/+ offspring mice, telomere length was stable, with no elongation up to six generations. This breeding strategy therefore has established a mouse strain, B6.ST (short telomeres), with C57BL/6 genotype and stable short telomeres. These findings suggest that the set point of telomere lengths of offspring is determined by the telomere lengths of their parents in the presence of normal expression of telomerase.
Selective antagonism of the antinociceptive effect of intrathecally applied alpha adrenergic agonists by intrathecal prazosin and intrathecal yohimbine.

We have attempted to define the alpha adrenoceptor subtype(s) on which intrathecally applied alpha adrenergic agonists act to produce their antinociceptive effect. The potencies of intrathecal (i.t.) prazosin or i.t. yohimbine to antagonize the elevations of thermal nociceptive threshold induced by i.t. 2-[2,6-diethylphenylamino]-2-imidazoline (ST-91), methoxamine or norepinephrine (NE) were determined in the rat. Tail-flick and hot plate tests were used to determine thermal nociceptive threshold. At the ID50 level, the alpha-2 selective antagonist yohimbine was significantly more potent than the alpha-1 selective antagonist prazosin at blocking the analgesia produced by the alpha-2 selective agonist ST-91, whereas prazosin was significantly more potent than yohimbine at antagonizing the analgesia produced by the alpha-1 selective agonist methoxamine or by the nonselective alpha agonist NE. Analgesic doses of methoxamine evoked a readily observable disturbance of motor and autonomic function, whereas such effects were not observed after analgesic doses of ST-91 or NE. Both i.t. methoxamine and i.t. ST-91 elevated thermal nociceptive threshold in rats depleted of lumbar spinal cord NE by pretreatment 7 days before with i.t. 6-hydroxydopamine. Our results suggest that stimulation of either one of two separate populations of postsynaptic spinal alpha adrenoceptors will inhibit spinal nociceptive transmission. One of these populations appears to be composed of alpha-2 adrenoceptors. The subtype classification of the alpha adrenoceptors composing the other population remains unclear.
YouTube Video Recommendation via Cross-Network Collaboration

We present a system that automatically recommends videos to the three YouTube users: new, light and heavy. We have proposed YouTube video cross network recommendation system; it extracts users auxiliary information on Twitter to address the three typical problems: new user, cold start and sparsity which are occurring in single network recommendation system. At the first stage, the system recommends videos to the new user using cross relevance method, it maps individual user Twitter preferences with video titles on YouTube. Our system has calculated a tweet vocabulary of more than 400 words using Hash Map function. At the second stage, we construct textual and visual similarity between user's data on different OSNs (Online Social Networks), i.e. the system recommends videos to light and heavy users by considering their data on both Twitter and YouTube. Here we map visual based features of user-uploaded videos on YouTube with all other videos in a database also uploaded video titles is used to automatically suggest relevant videos on the basis of text similarity. These methods give benefit to new, light and heavy users who are having limited or fr++++
Longitudinal relations between symptoms, neurocognition, and self-concept in schizophrenia

Objective: Cognitive models suggest that the self-concept of persons with psychosis can be fundamentally affected. Self-concepts were found to be related to different symptom domains when measured concurrently. Longitudinal investigations to disentangle the possible causal associations are rare. Method: We examined a sample of 160 people with a diagnosis of schizophrenia who took part in a psychotherapy study. All participants had the DSM-IV diagnosis of a schizophrenia and pronounced negative symptoms. Neurocognition, symptoms, and self-concepts were assessed at two time points 12 months apart. Structural equation modeling was used to test whether symptoms influence self-concepts (scar-model) or self-concepts affect symptoms (vulnerability model). Results: Negative symptoms correlated concurrently with self-concepts. Neurocognitive deficits are associated with more negative self-concepts 12 months later. Interpersonal self-concepts were found to be relevant for paranoia. Conclusion: The findings implicate that if deficits in neurocognition are present, fostering a positive self-concept should be an issue in therapy. Negative interpersonal self-concept indicates an increased risk for paranoid delusions in the course of 1 year. New aspects for cognitive models in schizophrenia and clinical implications are discussed.
A Static Scheduling Algorithm Using Dynamic Critical Path for Assigning Parallel Algorithms onto Multiprocessors

An algorithm for compile-time static scheduling of task graphs onto multiprocessors is proposed. The proposed algorithm, which is called Dynamic Critical Path (DCP) scheduling algorithm, is different from previously reported algorithms in a number of ways. First, it determines the critical path of the task graph and selects the next node to be scheduled in a dynamic fashion. Second, it rearranges the schedule on each processor dynamically in the sense that the positions of the nodes in the partial schedules are not fixed until all nodes have been considered. Third, it uses an intelligent way to select a suitable processor for a node by looking ahead the potential start times of the remaining critical nodes on that processor and by scheduling relatively less important nodes to the processors already in use. Four related scheduling algorithms are also discussed. Although these algorithms are efficient in general, they possess drawbacks which can lead to poor performance. The proposed DCP algorithm overcomes the drawbacks of these algorithms and outperforms them by a considerable margin. Despite having a number of new features, the DCP algorithm is fast, efficient in terms of the number of processors used and is equally suitable for different types of graph structures.
Sonar-based place recognition using joint sparse coding method

The problem of place recognition is central to robot navigation. The robot needs to be able to recognize or at least to be able to estimate the likelihood that it has been at a place before when it has returned to a previously visited place. We cast the place recognition problem as one of classifying among multiple linear regression models, and argue that new theory from sparse signal representation offers the key to addressing the problem. In this paper, a joint kernel sparse coding model is developed to tackle the multivariate sonar samples place recognition problem. The experimental results show that the joint sparse coding achieves better performance than 1-Nearest Neighborhood (1-NN) method.
Evidence for the size principle in semantic and perceptual domains

Shepard's Universal Law of Generalization offered a compelling case for the first physics-like law in cognitive science that should hold for all intelligent agents in the universe. Shepard's account is based on a rational Bayesian model of generalization, providing an answer to the question of why such a law should emerge. Extending this account to explain how humans use multiple examples to make better generalizations requires an additional assumption, called the size principle: hypotheses that pick out fewer objects should make a larger contribution to generalization. The degree to which this principle warrants similarly law-like status is far from conclusive. Typically, evaluating this principle has not been straightforward, requiring additional assumptions. We present a new method for evaluating the size principle that is more direct, and apply this method to a diverse array of datasets. Our results provide support for the broad applicability of the size principle.
Different Requirement for Rnd GTPases of R-Ras GAP Activity of Plexin-C1 and Plexin-D1*

Plexins, comprising Plexin-A, -B, -C, and -D subfamilies, are receptors for semaphorins governing cell adhesion, migration, and axon guidance. Among plexin subfamilies, Plexin-A1 and Plexin-B1 have been shown to function as an R-Ras GAP, inducing repulsive responses, and the expression of R-Ras GAP activity requires the binding of Rnd1, a member of Rnd subfamily of Rho GTPases. However, signaling pathways of Plexin-D1 and Plexin-C1 still remain obscure. Here, we found that Plexin-D1 displayed R-Ras GAP activity and inhibited migration of COS-7 cells, and these actions required Rnd2, another Rnd subfamily GTPase. Rnd2 bound to Plexin-D1 in cortical neurons, and Sema3E/Plexin-D1-induced inhibition of axon outgrowth of cortical neurons required Rnd2 and down-regulation of R-Ras activity. On the other hand, Plexin-C1 displayed R-Ras GAP activity and inhibited cell migration of COS-7 cells without Rnd proteins. Therefore, R-Ras GAP activity is a common function of plexin subfamilies but the regulation of R-Ras GAP activity of plexins by Rnd proteins is different among plexin subfamilies.
Geophysical Constraints on the Relationship Between Seamount Subduction, Slow Slip, and Tremor at the North Hikurangi Subduction Zone, New Zealand

We use a prestack depth migration reflection image and magnetic anomaly data across the northern Hikurangi subduction zone, New Zealand, to constrain plate boundary structure and geometry of a subducting seamount in a region of shallow slow slip and recent International Ocean Discovery Program drilling. Our 3‐D model reveals the subducting seamount as a SW‐NE striking, lozenge‐shaped ridge approximately 40 km long and 15 km wide, with relief up to 2.5 km. This seamount broadly correlates with a 20‐km‐wide gap separating two patches of large (>10 cm) slow slip and the locus of tectonic tremor associated with the September–October 2014 Gisborne slow slip event. Largest slow slip magnitudes occurred where the décollement is underlain by a 3.0‐km‐thick zone of highly reflective subducting sediments. Wave speeds within this zone are 7% lower than adjacent and overlying strata, supporting the view that high fluid pressures within subducting sediments may facilitate shallow slow slip along the north Hikurangi margin.
Preferred Fill: A Scalable Method to Reduce Capture Power for Scan Based Designs

When the response to a test vector is captured by state elements in scan based tests, the switching activity of the circuit may be large resulting in abnormal power dissipation and supply current demand. High supply current may cause excessive supply voltage drops leading to larger gate delays which may cause good chips to fail tests. This paper presents a scalable approach called Preferred Fill to reduce average and peak power dissipation during capture cycles of launch off capture delay fault tests. Experimental results presented for benchmark and industrial circuits demonstrate the effectiveness of the proposed method
A collective topic model for milestone paper discovery

Prior arts stay at the foundation for future work in academic research. However the increasingly large amount of publications makes it difficult for researchers to effectively discover the most important previous works to the topic of their research. In this paper, we study the automatic discovery of the core papers for a research area. We propose a collective topic model on three types of objects: papers, authors and published venues. We model any of these objects as bags of citations. Based on Probabilistic latent semantic analysis (PLSA), authorship, published venues and citation relations are used for quantifying paper importance. Our method discusses milestone paper discovery in different cases of input objects. Experiments on the ACL Anthology Network (ANN) indicate that our model is superior in milestone paper discovery when compared to a previous model which considers only papers.
Estimates of genetic parameters for fertility traits of Australian Holstein-Friesian cattle

Fertility data collected on 17131 Holstein-Friesian cows from 158 dairy herds in Australia were used to estimate heritabilities for and correlations among several fertility traits using a sire model. Pregnancy rate (PR), survival (Surv), calving interval (CI), calving to first service interval (CFS), insemination rate (coded as 1 if a cow received a service or 0 otherwise) (InsemR) and first service non-return rate (FNRR) were the main traits analysed in a six-trait model. Among the traits, CFS had the highest h(2) (0.13) and FNRR had the lowest h(2) (0.01). Genetic correlations among the traits were higher than environmental correlations in all cases. The genetic correlations of PR with InsemR, FNRR, CFS, CI and Surv were 0.74, 0.79 and -0.84, -0.57, and 0.67, respectively. The genetic correlation between InsemR and CFS was high (-0.95) indicating that they almost measure the same trait. Analysis of data from cows that did not return to service after the first service despite not being pregnant (so-called 'phantom' cow syndrome) showed that the syndrome is not heritable. The relatively high genetic correlation of PR with traits such as CI and Surv that can be extracted from milk recording data and CFS, FNRR and InsemR that can be obtained from mating data suggests that routine genetic evaluation of sires for daughter fertility based on these traits can be implemented in national selection programs.
The Yorktown Simulation Engine

The Yorktown Simulation Engine (YSE) is a high speed special purpose parallel processor designed and built at the I.B. M. Thomas J. Watson Research Center to simulate the logical operation of large digital networks. A full YSE configuration simulates networks of up to 2,000,000 gates at a rate exceeding 3 billion gate computations per second, doing more simulation in just eight hours than an IBM 370/168 does in an entire year. This paper reviews gate-level logic simulation and describes the architecture and hardware implementation of the YSE. A companion paper by G. Pfister and E. Kronstadt discusses the YSE software.
Final paper : BPMN-based specification of task descriptions

Business processes modelling helps to specify requirements to build an information system (IS), this is the requirements engineering (RE) process. The Business Process Modelling Notation (BPMN) is a business process modelling technique, this technique results in Business Process Diagrams (BPDs). However, business processes can not directly be translated to functional requirements of an IS (Vara & Sánchez, 2009). This gap was researched, a method for bridging the gap was developed, and the method was tested in practice. The researched gap seemed to be between the business and the system domain. Vara and Sánchez (2009, p. 124) define the goal of this method as ”to present an approach that provides methodological guidance to properly specify functional requirements from business processes”. This introduction will shortly explain the proposed approach. After the introduction, an example is used to elaborate on the method and related literature on the subject is discussed. The author of the method, Jose Luis de la Vara Gonzalez, is a PhD from the Technical University of Valencia. His field of interests lies within software methods, which lead him to work for the Research Centre on Software Production Methods. Ranging from 2007 to 2011, he has published fifteen papers. The other author of this method, Juan Sánchez, is an associate professor of computer engineering at the university of Murcia. Juan Sánchez published around 50 papers, ranging from 1999 to 2010. His papers mainly focus on software engineering, databases, and engineering. A global overview of the method is provided by Vara and Sánchez (2009), which can be seen in Figure 1. The method, or new approach as the paper
Deficiency of tumour necrosis factor-related apoptosis-inducing ligand exacerbates lung injury and fibrosis

Background The death receptor ligand tumour necrosis factor-related apoptosis-inducing ligand (TRAIL) shows considerable clinical promise as a therapeutic agent. TRAIL induces leukocyte apoptosis, reducing acute inflammatory responses in the lung. It is not known whether TRAIL modifies chronic lung injury or whether TRAIL has a role in human idiopathic pulmonary fibrosis (IPF). We therefore explored the capacity of TRAIL to modify chronic inflammatory lung injury and studied TRAIL expression in patients with IPF. Methods TRAIL−/− and wild-type mice were instilled with bleomycin and inflammation assessed at various time points by bronchoalveolar lavage and histology. Collagen deposition was measured by tissue hydroxyproline content. TRAIL expression in human IPF lung samples was assessed by immunohistochemistry and peripheral blood TRAIL measured by ELISA. Results TRAIL−/− mice had an exaggerated delayed inflammatory response to bleomycin, with increased neutrophil numbers (mean 3.19±0.8 wild type vs 11.5±5.4×104 TRAIL−/−, p<0.0001), reduced neutrophil apoptosis (5.42±1.6% wild type vs 2.47±0.5% TRAIL−/−, p=0.0003) and increased collagen (3.45±0.2 wild type vs 5.8±1.3 mg TRAIL−/−, p=0.005). Immunohistochemical analysis showed induction of TRAIL in bleomycin-treated wild-type mice. Patients with IPF demonstrated lower levels of TRAIL expression than in control lung biopsies and their serum levels of TRAIL were significantly lower compared with matched controls (38.1±9.6 controls vs 32.3±7.2 pg/ml patients with IPF, p=0.002). Conclusion These data suggest TRAIL may exert beneficial, anti-inflammatory actions in chronic pulmonary inflammation in murine models and that these mechanisms may be compromised in human IPF.