Miracle-dz/UniFAR-FTUs huggingface dataset:
Overview of recent supercomputers

62.1 The main architectural classes . 62.2 Shared-memory SIMD machines . 82.3 Distributed-memory SIMD machines . 92.4 Shared-memory MIMD machines . 112.5 Distributed-memory MIMD machines . 132.6 ccNUMA machines . 152.7 Clusters . 162.8 Processors . 172.8. 1 AMD Phenom . 182.8. 2 IBM POWER6 . 202.8. 3 IBM PowerPC 970 processor . 212.8. 4 IBM BlueGene processors . 222.8. 5 Intel Itanium 2 . 232.8. 6 Intel Xeon . 262.8. 7 The MIPS processor . 282.8. 8 The SPARC processors . 292.9 Computational accelerators . 312.9. 1 Graphical Processing Units . 322.9. 2 General computational accelerators . 342.9. 3 FPGA-based accelerators . 372.10 Networks . 392.10. 1 Inﬁniband . 412.10. 2 InﬁniPath . 422.10. 3 Myrinet . 422.10. 4 QsNet . 433
Is hybrid robotic laparoscopic assistance the ideal approach for restorative rectal cancer dissection?

While the use of robotic assistance in the management of rectal cancer has gradually increased in popularity over the years, the optimal technique is still under debate. The authors' preferred technique is a robotic low anterior resection that requires a hybrid approach with laparoscopic hand‐assisted mobilization of the left colon and robotic assistance for rectal dissection. The aim of this study was to determine the efficacy of this approach as it relates to intra‐operative and short‐term outcomes.
Streptococcus pyogenes Isolates Causing Severe Infections in Norway in 2006 to 2007: emm Types, Multilocus Sequence Types, and Superantigen Profiles

ABSTRACT To investigate the epidemiological patterns and genetic characteristics of disease caused by group A Streptococcus (GAS), all available isolates from invasive cases in Norway during 2006 to 2007 (262 isolates) were subjected to antimicrobial susceptibility testing, T serotyping, emm typing, and multilocus sequence typing and screened for known streptococcal pyrogenic exotoxin (Spe) genes, smeZ, and ssa. The average incidence rate was 3.1 cases per 100,000 individuals. The most prevalent sequence types (STs) were STs 52, 28, and 334. In association with emm types 28, 77, and 87, the serotype T-28 comprised 24.8% of the strains. emm types 28, 1, and 82 were dominating. In 2007, a sharp increase in the number of emm-6 strains was noted. All strains were sensitive to penicillin and quinupristin-dalfopristin, while 3.4% and 6.1% of the strains were resistant to macrolides and tetracycline, respectively. Furthermore, the emm-6 strains had intermediate susceptibility to ofloxacin. Isolates displayed a wide variety of gene profiles, as shown by the presence or absence of the Spe genes, smeZ, and ssa, but 48% of the isolates fell into one of three profiles. In most cases, an emm type was restricted to one gene profile. Although the incidence decreased during this study, invasive GAS disease still has a high endemic rate, with involvement of both established and emerging emm types displaying variability in virulence gene profiles as well as differences in gender and age group preferences.
Analysis of the SSL 3.0 protocol

The SSL protocol is intended to provide a practical, application-layer, widely applicable connection-oriented mechanism for Internet client/server communications security. This note gives a detailed technical analysis of the cryptographic strength of the SSL 3.0 protocol. A number of minor flaws in the protocol and several new active attacks on SSL are presented; however, these can be easily corrected without overhauling the basic structure of the protocol. We conclude that, while there are still a few technical wrinkles to iron out, on the whole SSL 3.0 is a valuable contribution towards practical communications security.
Application of Remote Sensing for Evaluation of Land Use Change Responses on Hydrology of Muga Watershed, Abbay River Basin, Ethiopia

This study deals with impact of land use change on the hydrology of Muga watershed, Ethiopia using remote sensing and the SWAT model. Global sensitivity analysis was used to determine optimal model parameters. Both the calibration and validation was performed using SWAT-CUP and results showed good match between measured and simulated stream flow data with the Nash-Sutcliffe efficiency (NSE) of 0.83, observation standard deviation ratio (RSR) of 0.32 and percent bias (PBIAS) of -10.8% for the calibration, and NSE of 0.79, observation standard deviation ratio (RSR) of 0.54 and percent bias (PBIAS) of -19.8% for the validation period. The overall performance of the model showed that good result. To evaluate land use change impact on hydrology, land use was assigned using six land use classes and processed in ERDAS Imagine and ArcView GIS with the help of ground truth information. Results showed that the area of grass land, shrub land and forest had declined while agricultural land was expanded over the study period. Simulated model results showed an increase of surface runoff in the catchment from 1986 to 2009 while groundwater flow decreased, which is caused due to severe land use changes. By using land use of 2009 as a reference, three scenarios were simulated by changing 5% of each land use (cultivated, grasslands and shrub lands) to forest lands respectively and scenario 1 suggested as best land use scenario to alleviate water resources degradation problem. Citation: Demeke GG, Andualem TG (2018) Application of Remote Sensing for Evaluation of Land Use Change Responses on Hydrology of Muga Watershed, Abbay River Basin, Ethiopia. J Earth Sci Clim Change 9: 493. doi: 10.4172/2157-7617.1000493
Investigating the Moderating Role of Government Incentive Policy on Consumer Adoption of Battery Electric Vehicles (BEV) in Malaysia

As concerns about climate change, global warming, and environmental degradation continue to escalate, the adoption of electric vehicles, particularly Battery Electric Vehicles (BEVs), has emerged as a promising solution for a more sustainable future. This study delves into the willingness of Malaysian consumers to embrace BEVs, with a specific focus on the moderating role of government incentives and policies. Drawing upon the Theory of Planned Behaviour (TPB) as the theoretical framework, this study extends the TPB model by incorporating four additional external variables to better understand the factors influencing adoption intention. Employing a quantitative research approach, this investigation utilizes a cross-sectional survey method to collect empirical data from car consumers across Malaysia. The survey instrument, adapted from previous studies, comprehensively assesses nine constructs relevant to this research. Data analysis will be conducted using Structural Equation Modelling (SEM), specifically employing the Partial Least Squares SEM (PLS-SEM) approach, to examine the formulated hypotheses. The findings of this study aim to shed light on the determinants of BEV adoption intention among Malaysian consumers, with implications for policymakers, automotive industry players, and researchers. Further research avenues are also proposed to deepen our understanding of the complex dynamics surrounding BEV adoption in Malaysia.
Cognitive representations of disability behaviours in people with mobility limitations: Consistency with theoretical constructs

Purpose. Disability is conceptualized as behaviour by psychological theory and as a result of bodily impairment by medical models. However, how people with disabilities conceptualize those disabilities is unclear. The purpose of this study was to examine disability representations in people with mobility disabilities. Method. Thirteen people with mobility disabilities completed personal repertory grids (using the method of triads) applied to activities used to measure disabilities. Ten judges with expertise in health psychology then examined the correspondence between the elicited disability constructs and psychological and medical models of disability. Results. Participants with mobility disabilities generated 73 personal constructs of disability. These constructs were judged consistent with the content of two psychological models, namely the theory of planned behaviour and social cognitive theory and with the main medical model of disability, the International Classification of Functioning Disability and Health. Conclusions. Individuals with activity limitations conceptualize activities in a manner that is compatible with both psychological and medical models. This ensures adequate communication in contexts where the medical model is relevant, e.g., clinical contexts, as well as in everyday conversation about activities and behaviours. Finally, integrated models of disability may be of value for theory driven interdisciplinary approaches to disability and rehabilitation.
Glassy phase and freezing of log-correlated Gaussian potentials

In this paper, we consider the Gibbs measure associated to a logarithmically correlated random potential (including two dimensional free fields) at low temperature. We prove that the energy landscape freezes and enters in the so-called glassy phase. The limiting Gibbs weights are integrated atomic random measures with random intensity expressed in terms of the critical Gaussian multiplicative chaos constructed in \cite{Rnew7,Rnew12}. This could be seen as a first rigorous step in the renormalization theory of super-critical Gaussian multiplicative chaos.
Cloning and functional characterization of a novel c-mpl variant expressed in human CD34 cells and platelets.

The thrombopoietin receptor, c-mpl, is a crucial element not only in thrombopoietin (TPO)-initiated signaling pathways but also in the regulation of the circulating amount of TPO. We have identified a new c-mpl isoform, called c-mpl-del, that lacks 72 bp (24 amino acids) in the extracellular region of c-mpl and arises as a consequence of alternative RNA splicing between exons 8 and 9. c-mpl-del is expressed along with c-mpl-wt in blood mononuclear cells, CD34(+)cells, megakaryocytes, and platelets prepared from either normal donors or ET patients, although its relative expression appears to increase with megakaryocyte differentiation. The c-mpl-del-transfected cells expressed greater amounts of c-mpl-del RNA and protein than the comparable c-mpl-wt-transfected cells, however flow cytometry analysis could not detect any c-mpl receptor on the surface of the c-mpl-del-transfected cells. Further evidence for the absence of surface c-mpl-del was that in contrast to cells transfected with c-mpl-wt, those transfected with c-mpl-del did not grow in response to TPO, failed to undergo tyrosine phosphorylation of TPO-specific signal molecules, and did not bind(125)I-rHuTPO. Taken together, these results demonstrate that c-mpl-del, a naturally occurring variant of c-mpl, fails to be incorporated into the cell membrane but might serve as a mechanism to decrease the overall expression of functional c-mpl late in megakaryocyte differentiation.
Dental and gastrointestinal changes as indicators of nutritional depletion in elderly inpatients.

OBJECTIVE The objective of this study was to identify the associations between the nutritional status of elderly patients and length of hospital stay and presence of dental and gastrointestinal changes. CASUISTIC AND METHOD This cross-sectional study analyzed anthropometric and food intake indicators, dental and gastrointestinal changes and length of hospital stay of 441 elderly patients of both genders. The Pearson's correlation coefficient was used to verify the correlation between the nutritional status of the elderly patients and length of hospital stay and presence of dental and gastrointestinal changes. The significance level was set at P < 0.05. RESULTS Dietary and anthropometric variables as well as length of hospital stay were similar for patients with and without dental changes. Patients with gastrointestinal changes consumed less energy (P < 0.05) than patients without gastrointestinal changes. Length of hospital stay was inversely correlated with body mass index (r = -0.15; P < 0.05); arm circumference was inversely correlated with presence of dental changes (r = -0.12; P < 0.05) and mid-arm muscle circumference was inversely correlated with gastrointestinal changes (r = -0.12; P < 0.05). CONCLUSION Dental and gastrointestinal changes are important indicators of nutritional depletion and dietary intake of inpatients.
Multidrizzle and Tweakshifts: Overview and Future Plans

The MultiDrizzle software provides a flexible, unified interface to the various steps involved in registering, cleaning and combining dithered HST data. MultiDrizzle can be run on ACS, WFPC2, NICMOS and STIS imaging data in a single step, with default parameters chosen to provide good results for the majority of datasets if standard recommended dithering patterns were followed. Alternatively, the various parameters can be adjusted and specific steps can be run one at a time for additional flexibility, if desired for certain scientific applications. MultiDrizzle has also been incorporated into the HST OTFR pipeline for ACS data, thereby allowing automatic delivery of cleaned, combined data that can be used directly for science in many cases, or alternatively used as a baseline for re-running MultiDrizzle offline using customized parameters, if required for certain scientific applications. Here we review the basic fundamentals of dithering, together with the current status of MultiDrizzle and describe plans for future related pipeline enhancements, including the Tweakshifts shift-refinement script.
Update on rare epithelial ovarian cancers: based on the Rare Ovarian Tumors Young Investigator Conference

There has been significant progress in the understanding of the pathology and molecular biology of rare ovarian cancers, which has helped both diagnosis and treatment. This paper provides an update on recent advances in the knowledge and treatment of rare ovarian cancers and identifies gaps that need to be addressed by further clinical research. The topics covered include: low-grade serous, mucinous, and clear cell carcinomas of the ovary. Given the molecular heterogeneity and the histopathological rarity of these ovarian cancers, the importance of designing adequately powered trials or finding statistically innovative ways to approach the treatment of these rare tumors has been emphasized. This paper is based on the Rare Ovarian Tumors Conference for Young Investigators which was presented in Tokyo 2015 prior to the 5th Ovarian Cancer Consensus Conference of the Gynecologic Cancer InterGroup (GCIG).
Touchless Fingerprint Recognization System

In this paper we present a system which is a reliable alternative to conventional touch based finger print recognization system. The conventional system uses live acquisition techniques in which it suffers from many problems as they are less hygiene, maintanence,latent fingerprint. To overcome this difficulty we propose a new method that captures image of fingerprint using digital camera . The touchless fingerprint recognization system can be divided into three main modules: Preprocessing ,Feature extraction and matching. Here we use several Preprocessing steps on binary image to enhance the quality of image followed by minutea, removal of false minutea followed by matching. Final step is minutea matching. The challenging Problem that acquire while developing the touchless system is low contrast between the ridge and valley pattern on fingerprint image, motion blurriness and defocus due to the less depth of field of digital camera, so in order to reduce this drawback we concentrate more on preprocessing so all the errors are removed. Keywords—Fingerprint, Ridges, Furrows, Minutia, Feature Extraction, image segmentation, thining
NTNU-CORE: Combining strong features for semantic similarity

The paper outlines the work carried out at NTNU as part of the *SEM’13 shared task on Semantic Textual Similarity, using an approach which combines shallow textual, distributional and knowledge-based features by a support vector regression model. Feature sets include (1) aggregated similarity based on named entity recognition with WordNet and Levenshtein distance through the calculation of maximum weighted bipartite graphs; (2) higher order word co-occurrence similarity using a novel method called “Multisense Random Indexing”; (3) deeper semantic relations based on the RelEx semantic dependency relationship extraction system; (4) graph edit-distance on dependency trees; (5) reused features of the TakeLab and DKPro systems from the STS’12 shared task. The NTNU systems obtained 9th place overall (5th best team) and 1st place on the SMT data set.
Multivariate relative rate measurements of reactions between volatile organic compounds (VOCs) and atmospheric radicals

Knowledge of the reactions between VOCs and atmospheric radicals and oxidants is fundamental to understanding atmospheric chemistry and the formation of air pollution in urban environments. This work describes the development of a new experimental technique for the simultaneous measurement of gas-phase rate coefficients for reactions between multiple VOCs and different atmospheric radicals. The technique is based on the traditional relative rate approach and succeeds in markedly increasing the rate of throughput of target reactions; an improvement necessary when considering the vast number of organic compounds observed in the atmosphere for which experimental oxidation data are not available. New rate coefficients are derived using a suite of the available kinetic literature as reference reactions to calibrate the results over a range of reactivity, thereby reducing the reliance on any single rate coefficient value. This new multivariate method was applied to mixtures containing multiple VOCs with a range in functionalities and under different experimental conditions. Two different atmospherically relevant radicals were tested (OH and Cl) and the technique was adapted to allow for temperature controlled measurements. Rate coefficients for the reactions of eight VOCs (1,2-, 1,3- and 1,4-diethylbenzene, n-pentylbenzene, 2-methylheptane, 2-methylnonane, ethylcyclohexane and 2,3-dimethylpent-1-ene) with OH at room temperature were derived for the first time. Rate coefficients for the reactions of 44 other VOCs with OH were also assessed concurrently with the derivation of these eight new results. A rate coefficient for the reaction between 2-methylheptane and Cl was measured for the first time, alongside the measurement of rate coefficients for the reactions of seven other VOCs with Cl.
Bayesian Supervised Dictionary learning‎

This paper proposes a novel Bayesian method for the dictionary learning (DL) based classification using Beta-Bernoulli process. We utilize this non-parametric Bayesian technique to learn jointly the sparse codes, the dictionary, and the classifier together. Existing DL based classification approaches only offer point estimation of the dictionary, the sparse codes, and the classifier and can therefore be unreliable when the number of training examples is small. This paper presents a Bayesian framework for DL based classification that estimates a posterior distribution for the sparse codes, the dictionary, and the classifier from labeled training data. We also develop a Variational Bayes (VB) algorithm to compute the posterior distribution of the parameters which allows the proposed model to be applicable to large scale datasets. Experiments in classification demonstrate that the proposed framework achieves higher classification accuracy than state-of-the-art DL based classification algorithms.
Efficiency of conformalized ridge regression

Conformal prediction is a method of producing prediction sets that can be applied on top of a wide range of prediction algorithms. The method has a guaranteed coverage probability under the standard IID assumption regardless of whether the assumptions (often considerably more restrictive) of the underlying algorithm are satisfied. However, for the method to be really useful it is desirable that in the case where the assumptions of the underlying algorithm are satisfied, the conformal predictor loses little in efficiency as compared with the underlying algorithm (whereas being a conformal predictor, it has the stronger guarantee of validity). In this paper we explore the degree to which this additional requirement of efficiency is satisfied in the case of Bayesian ridge regression; we find that asymptotically conformal prediction sets differ little from ridge regression prediction intervals when the standard Bayesian assumptions are satisfied.
Adaption and Application of the Four Phase Trials to Traditional Chinese Medicines

Four phases of trial are widely used in testing drugs, surgery, and diagnosis in Western medicine (WM). The staged testing process helps protect patients from unnecessary harms and control costs while assessing safety and efficacy. In this paper we adapt the four phase trials for traditional Chinese medicine (TCM). As TCM has been used in humans for thousands of years and there has been good preliminary clinical evidence on safety and efficacy for many of its therapies, in most cases its evaluation can start directly in humans, and preclinical laboratory research can be conducted in phase 4 trials after the efficacy is firmly demonstrated. Furthermore, unlike investigational drugs, TCM therapies are various in the certainty of their safety and efficacy and thus should not enter the evaluation process at the same stage. Unlike in WM, clarifying and refining PICO (patients, intervention, comparator, and outcome) are an important part of evaluation of newly designed TCM therapies. The incommensurability between WM and TCM causes additional difficulties in TCM trials regarding defining and choosing PICO, for which some suggestions are made. Observational studies seem to have a greater role in evaluation for TCM although the efficacy must be confirmed with randomized trials.
Linear space direct pattern sampling using coupling from the past

This paper shows how coupling from the past (CFTP) can be used to avoid time and memory bottlenecks in direct local pattern sampling procedures. Such procedures draw controlled amounts of suitably biased samples directly from the pattern space of a given dataset in polynomial time. Previous direct pattern sampling methods can produce patterns in rapid succession after some initial preprocessing phase. This preprocessing phase, however, turns out to be prohibitive in terms of time and memory for many datasets. We show how CFTP can be used to avoid any super-linear preprocessing and memory requirements. This allows to simulate more complex distributions, which previously were intractable. We show for a large number of public real-world datasets that these new algorithms are fast to execute and their pattern collections outperform previous approaches both in unsupervised as well as supervised contexts.