Miracle-dz/UniFAR-FTUs huggingface dataset:
LSIS at SemEval-2017 Task 4: Using Adapted Sentiment Similarity Seed Words For English and Arabic Tweet Polarity Classification

We present, in this paper, our contribution in SemEval2017 task 4 : “Sentiment Analysis in Twitter”, subtask A: “Message Polarity Classification”, for English and Arabic languages. Our system is based on a list of sentiment seed words adapted for tweets. The sentiment relations between seed words and other terms are captured by cosine similarity between the word embedding representations (word2vec). These seed words are extracted from datasets of annotated tweets available online. Our tests, using these seed words, show significant improvement in results compared to the use of Turney and Littman’s (2003) seed words, on polarity classification of tweet messages.
The Prevalence of Colorectal Adenomas in Asymptomatic Korean Men and Women

Background: Colorectal cancer incidence is rapidly rising in many Asian countries, with rates approaching those of Western countries. This study aimed to evaluate the prevalence and trends of colorectal adenomas by age, sex, and risk strata in asymptomatic Koreans. Methods: Cross-sectional study of 19,372 consecutive participants aged 20 to 79 years undergoing screening colonoscopy at the Center for Health Promotion of the Samsung Medical Center in Korea from January 2006 to June 2009. Results: Among participants at average risk, those without a history of colorectal polyps or a family history of colorectal cancer, the prevalence of colorectal adenomas and advanced adenomas were 34.5% and 3.1%, respectively, in men and 20.0% and 1.6%, respectively, in women. The prevalence of adenomas increased with age in both men and women, with a more marked increase for advanced adenoma. Participants with a family history of colorectal cancer or with a history of colorectal polyps had significantly higher prevalence of adenomas compared with participants of average risk (36.9% vs. 26.9%; age- and sex-adjusted prevalence ratio = 1.16; 95% confidence interval, 1.09–1.22). The prevalence of adenomas increased annually in both men and women. Conclusions: In this large study of asymptomatic Korean men and women participating in a colonoscopy screening program, the prevalence of colorectal adenomas was comparable and possibly higher than previously reported in Western countries. Impact: Cost-effectiveness studies investigating the optimal age for starting colonoscopy screening and etiological studies to identify the reasons for the increasing trend in colorectal adenomas in Koreans are needed. Cancer Epidemiol Biomarkers Prev; 23(3); 499–507. ©2014 AACR.
X-RAY SCATTERING ECHOES AND GHOST HALOS FROM THE INTERGALACTIC MEDIUM: RELATION TO THE NATURE OF AGN VARIABILITY

X-ray bright quasars might be used to trace dust in the circumgalactic and intergalactic medium through the phenomenon of X-ray scattering, which is observed around Galactic objects whose light passes through a sufficient column of interstellar gas and dust. Of particular interest is the abundance of gray dust larger than 0.1 &mgr; m ? > , which is difficult to detect at other wavelengths. To calculate X-ray scattering from large grains, one must abandon the traditional Rayleigh-Gans approximation. The Mie solution for the X-ray scattering optical depth of the universe is ∼ 1 % ? > . This presents a great difficulty for distinguishing dust scattered photons from the point source image of Chandra, which is currently unsurpassed in imaging resolution. The variable nature of AGNs offers a solution to this problem, as scattered light takes a longer path and thus experiences a time delay with respect to non-scattered light. If an AGN dims significantly ( ≳ 3 ? > dex) due to a major feedback event, the Chandra point source image will be suppressed relative to the scattering halo, and an X-ray echo or ghost halo may become visible. I estimate the total number of scattering echoes visible by Chandra over the entire sky: N ech ∼ 10 3 ( &ngr; fb / yr − 1 ) ? > , where &ngr; fb ? > is the characteristic frequency of feedback events capable of dimming an AGN quickly.
A New Algorithm for Discovery Maximal Frequent Itemsets Based on Binary Vector Sets

Frequent itemset mining is a classic problem in data mining. However, most algorithms have to scan databases many times. This paper presents an algorithm that can find maximal frequent itemsets quickly. In this algorithm, each transaction is represented as a binary vector, so the task of discovering maximal frequent itemsets is turn to search frequent patterns in binary vector set. The algorithm is unique in that it simultaneously explores both the itemset space and transaction space, unlike previous frequent itemset mining methods that only exploit the itemset search space. Furthermore, this algorithm can certify mining maximal frequent patterns with only one scan of original databases. Experiments verify the efficiency and advantages of the proposed algorithm
Decoding Hand Kinematics and Neural States Using Gaussian Process Model

Probabilistic modeling of correlated neural population firing activity is central to understanding the neural code and building practical decoding algorithms, the accurate reconstruction of a continuous motion signal is necessary for the control of devices such as computer cursors, robots, or a patient's own paralyzed limbs. For such applications we developed a realtime system that uses Gaussian process techniques to estimate hand motion from the firing rates of multiple neurons. Gaussian Processes for Machine Learning presents one of the most important Bayesian machine learning approaches based on a particularly effective method for placing a prior distribution over the space of functions. Decoding was performed using Gaussian processes model which gives an efficient method for Bayesian inference when the firing rates and hand kinematics are nonlinear. Gaussian processes provide a principled, practical, probabilistic approach to learning in noisy measurements. In off-line experiments, the Gaussian processes model reconstructions of hand trajectory were more accurate than previously reported results. The resulting decoding algorithm provides a principled probabilistic model of motor-cortical coding, decodes hand motion in real time, provides an estimate of uncertainty, and is straight to implement. Additionally the formulation unifies and extends previous models of neural coding while providing insights into the motor-cortical code.
Unlinking tumor necrosis factor biology from the major histocompatibility complex: lessons from human genetics and animal models.

Tumor necrosis factor (TNF, originally cachectin or TNF-α) is the prototype member of a large family of proteins with diverse functions including induction of apoptosis and regulation of lymphocyte proliferation. These ligands bind and signal through members of the TNF-receptor (TNFR) family of cell-surface receptors (Bazzoni and Beutler 1996). TNF itself can exhibit an extraordinarily broad spectrum of biological effects. In T cell–dependent immune responses, for example, TNF can, in principal, play critical roles in the induction, perpetuation, and resolution of the host response (fig.
Discharge disposition after pancreatic resection for malignancy: analysis of national trends.

OBJECTIVES The aim of this study is to analyse national trends in discharge disposition following pancreatic resection for malignancy in the USA. METHODS The Nationwide Inpatient Sample database was queried for 1993-2005 to identify patients who underwent pancreatic resection for malignancy. The status of patients at discharge (to home, home with home health care or to another facility) was noted. RESULTS A weighted total of 51 866 patients who underwent pancreatectomy for malignant neoplasm of the pancreas were identified. Patients who died in the postoperative period and patients without a specified discharge disposition were excluded, leaving 43 603 patients for inclusion in the study. Overall mortality improved over the period of the study from 7.1% in 1993 to 5.2% in 2005. The number of patients discharged to another facility increased significantly from 5.5% in 1993 to 13.3% in 2005. Similarly, the number of patients discharged to home with home health assistance increased from 20.0% in 1993 to 33.0% in 2005. This corresponded with a statistically significant decrease in the number of patients discharged to home without assistance, from 74.5% in 1993 to 53.7% in 2005 (P= 0.002). CONCLUSIONS The results of our study demonstrate that following pancreatic resection for malignancy, nearly half the patients will require some assistance after discharge.
Postanoxic coma: how (long) should we treat?

Summary Postanoxic coma is a state of unconsciousness caused by global anoxia of the brain, most commonly due to cardiac arrest. Outcome after postanoxic coma lasting more than several hours is generally, but not invariably, poor. Recovery of consciousness reported in the literature varies from 8% to 72% of patients, but is mostly thought to be around 20‐30% in patients surviving in coma for at least 24 h. Research is directed at defining factors that reliably predict poor outcome in these patients. Favourable outcome proves impossible to predict. Studies on outcome prediction have focussed mostly on neurological examination, clinical neurophysiological tests and biochemical parameters. The most recent and extensive study in this respect was the PROPAC study in The Netherlands (407 patients). This study confirmed earlier findings that bilaterally absent early cortical response after median nerve somatosensory potentials (absent somatosensory evoked potentials) is the most reliable predictor of poor outcome (no recovery of consciousness). A serum neuron‐specific‐enolase level >33 &mgr;g L−1 seemed equally reliable. In 2006, the American Practice Parameter on anoxic‐ischaemic coma was published, summarizing the findings from the different studies. Poor outcome was defined as death, coma or severe disability after 6 months. The following factors were found to reliably predict this outcome: myoclonic status epilepticus within the first 24 h, absent pupillary responses after 24 h, absent corneal reflexes after 48 h, motor response to pain absent or extensor after 72 h and absent somatosensory evoked potentials (as defined above) after 1‐3 days. Results for biochemical parameters (such as neuron‐specific enolase) and neuroimaging are inconclusive.
A review of social disinhibition after traumatic brain injury

Acquired social disinhibition refers to a debilitating behavioural syndrome commonly reported after a severe traumatic brain injury (TBI) and is characterized by inappropriate social behaviour, often described as immaturity and insensitivity towards others. These behaviours can have enduring effects on the social capability of the individual and their relationships with others. However, research into socially disinhibited behaviour after TBI has been thwarted by a lack of consensus in the literature on definition and measurement. This review provides an overview of our current understanding of the definition, measurement, prevalence, associated outcomes, neuropathology, and underlying mechanisms of social disinhibition after TBI. In addition, suggestions are made for future research to further our understanding of this syndrome with the eventual aim of rehabilitating problematic behaviours. It is concluded that an improved understanding of what causes disinhibited behaviour after TBI will be necessary for the development of effective treatment strategies aimed at the rehabilitation of underlying impairments.
(x = 1–5): a unique series of organic superalkali cations

Superalkalis, having lower ionisation energy (electron affinity) than alkali atom (cation), form a very important class of clusters with several applications. With an aim to enrich the superalkali series, we have studied clusters (x = 1–5) at dispersion-corrected density functional ωB97xD/6-311++G(d,p) level of calculations and the quantum theory of atoms in molecules (QTAIM). We notice that these cations appear as complexes, which are stabilised by some weak and electrostatic H-bonds. Furthermore, their stability increases with the increase in x, due to the presence of dihydrogen bonds. Moreover, clusters belong to a unique series of purely hydrocarbon based organic superalkali cations as their vertical electron affinities range 4.35–2.96 eV for x = 1–5, which is in accordance with the increase in their stability. Nevertheless, the deprotonation energy and free-energy of deprotonation of clusters not only suggest their stability but also provide a suitable path of their synthesis by protonation of CH4 clusters at least in the gas phase. We believe that this unique series of non-metallic organic superalkalis will get further attention of the researchers worldwide as well as their possible applications will be explored. GRAPHICAL ABSTRACT
Distinguishing Alzheimer's Disease From Vascular Dementia: An Exploration of Five Cognitive Domains

ABSTRACT The disease process of Alzheimer's disease (AD) and Vascular Dementia (VaD) are dissimilar; however, the cognitive presentations may be difficult to distinguish as they may present in tandem or result in similar deficits despite different pathogenesis. This study examined the efficacy of memory, confrontational naming, visuoconstructional ability, processing speed, and executive functioning in differentiating AD from VaD. Delayed verbal memory, visuoconstructional ability, and confrontational naming as measured by WMS-R Logical Memory II, WAIS-R Block Design (BD), and Boston Naming Test, respectively, were most effective in discriminating between these two disorders. Results indicated AD was best classified by BD, and BD was the most sensitive to AD-related pathogenesis. Delayed memory and confrontational naming were highly implicated in each subtype, suggesting they are sensitive to each disease process, thus reducing the reliability of utilizing them as sole differentiating agents.
The Narrative of Men Who Murder Their Partners

This article deals with the strategies the storyteller uses to influence the listener’s perception and thinking. It is based on qualitative research, which examined the narratives of 12 men who killed their female partners. After entering prison, the murderer attempts to salvage some part of his social image. He does this using an assortment of means in two areas: the content of the narrative and its linguistic style. In terms of content, all the storytellers present themselves as extremely positive and their wives as very negative. With respect to language, the killers use verbs that distance them from responsibility, they hedge, repeat words and phrases to persuade, and use figures of speech they expect will impress their listeners. This artificial discourse is cunningly interwoven in terms of content and story art to recreate an alternative reality of a man who is normative and whom society can accept.
Multi-scale Pedestrian Detection by Use of AdaBoost Learning Algorithm

Pedestrian detection has a wide range of applications in visual surveillance, driver assistance systems. It is also very important in computer vision and pattern recognition. In our study, we proposed a multi-scale scheme for pedestrian detection. The scheme of pedestrian detection consisted of two steps for construction a strong classifier and multi-scale detection. The strong classifier, a collection of weak classifiers, was built by use of AdaBoost learning algorithm based on the Harr-like features. Then, the strong classifier was employed to detect pedestrians in the multi-scale images, and the detection results were merged. In our experiment, the proposed multi-scale detection scheme reported 0.35 false positives per image at the sensitivity to 89.3%. This indicates that the multi-scale scheme for pedestrian detection achieves a high performance.
The Use of Time Dimension in Recommender Systems for Learning

When the amount of learning objects is huge, especially in the e-learning context, users could suffer cognitive overload. That way, users cannot find useful items and might feel lost in the environment. Recommender systems are tools that suggest items to users that best match their interests and needs. However, traditional recommender systems are not enough for learning, because this domain needs more personalization for each user profile and context. For this purpose, this work investigates Time-Aware Recommender Systems (Context-aware Recommender Systems that uses time dimension) for learning. Based on a set of categories (defined in previous works) of how time is used in Recommender Systems regardless of their domain, scenarios were defined that help illustrate and explain how each category could be applied in learning domain. As a result, a Recommender System for learning is proposed. It combines Content-Based and Collaborative Filtering approaches in a Hybrid algorithm that considers time in PreFiltering and Post-Filtering phases.
Corrective shoeing in horses: analysis of the adaptation period to the new condition imposed

Corrective shoeing is a method commonly used to alter the locomotion pattern in animals or as therapy for various disorders of the locomotive system of horses. However, to date, there have been no scientific studies discussing the period during which animals adapt to this type of intervention. The goal of this study was to evaluate the horseshoe adaptation period with the toe or heel elevated by six degrees at 0, 48, and 96 hours after each type of shoeing. For this analysis, the horses were recorded while walking on a treadmill. Stride length and gait qualitative analyzes were performed using Dvideow software. The level of significance adopted was 5%. In the present study, there was no significant difference between the evaluation times; elevating the toe or heel by six degrees do not generates discomfort during locomotion, therefore, horses are able to return to a regular exercise or training routine immediately after shoeing.
Balancing hydrophobic and electrostatic interactions in thermosensitive polyplexes for nucleic acid delivery

For the design of new polymeric-based drug delivery systems, understanding how multiple functionalities in the polymer structure are influencing each other in particle formation is important. Therefore in this study, the balance between hydrophobic and electrostatic interactions has been investigated for thermosensitive plasmid DNA (pDNA)-loaded polyplexes. NPD triblock copolymers consisting of a thermosensitive poly(N-isopropylacrylamide) (PNIPAM, N), a hydrophilic poly(ethylene glycol) (PEG, P) and a cationic poly(2-(dimethylamino)ethyl methacrylate) (PDMAEMA, D) block with different block lengths were prepared using a hetero-functional PEG macroinitiator. Cloud points of the thermosensitive polymers in HBS buffer (20 mM HEPES, 150 mM NaCl, pH 7.4) were determined by light scattering and ranged between 33 °C and 34 °C for the different polymers. The binding and condensation properties of these thermosensitive polymers and pDNA were studied taking non-thermosensitive PD polymers as controls. The size, surface charge, and stability of the formed colloidal particles (‘polyplexes’) were studied as a function of polymer block lengths, N/P charge ratio, and temperature. The NPD polymers were able to self-assemble into polyplex nanostructures with hydrodynamic sizes ranging between 150 and 205 nm at room temperature in HBS buffer as determined by dynamic light scattering. Polyplexes prepared with a low N/P charge ratio of 1 aggregated upon heating to 37 °C, which was not observed at higher N/P charge ratios. When the length of the cationic D block was relatively long compared to the thermosensitive N block, stable polyplexes were formed at all N/P ratios and elevated temperatures. 1H-NMR studies, static light scattering and ζ-potential measurements further supported the stability of these polyplexes at 37 °C. Finally, the presence of thermosensitive blocks in NPD-based polyplexes resulted in better cytocompatibility compared to PD-based polyplexes with similar efficiencies of delivering its cargo into HeLa cells.
A security policy framework for eEnabled fleets and airports

The future airport is predicted to be a highly net-centric system-of-systems with advanced networking and wireless technology to accommodate the “eEnabled aircraft,” enhanced surface area operations, as well as growing business and societal demands. In this paper, we present a classification of security policies that need to be enforced in such modern airport systems. We propose a distributed architecture for policy-compliance monitoring that enables runtime verification of compliance in the multi-organization environments typical of large-scale infrastructure systems. Compared to current solutions, our monitoring architecture allows each organization to acquire independently information about the state of the infrastructure while respecting integrity, confidentiality, and separation-of-duty constraints that arise because of the interaction between parts of the infrastructure managed by different organizations12.
Highly Expressed Integrin-α8 Induces Epithelial to Mesenchymal Transition-Like Features in Multiple Myeloma with Early Relapse

Despite recent groundbreaking advances in multiple myeloma (MM) treatment, most MM patients ultimately experience relapse, and the relapse biology is not entirely understood. To define altered gene expression in MM relapse, gene expression profiles were examined and compared among 16 MM patients grouped by 12 months progression-free survival (PFS) after autologous stem cell transplantation. To maximize the difference between prognostic groups, patients at each end of the PFS spectrum (the four with the shortest PFS and four with the longest PFS) were chosen for additional analyses. We discovered that integrin-α8 (ITGA8) is highly expressed in MM patients with early relapse. The integrin family is well known to be involved in MM progression; however, the role of integrin-α8 is largely unknown. We functionally overexpressed integrin-α8 in MM cell lines, and surprisingly, stemness features including HIF1α, VEGF, OCT4, and Nanog, as well as epithelial mesenchymal transition (EMT)-related phenotypes, including N-cadherin, Slug, Snail and CXCR4, were induced. These, consequently, enhanced migration and invasion abilities, which are crucial to MM pathogenesis. Moreover, the gain of integrin-α8 expression mediated drug resistance against melphalan and bortezomib, which are the main therapeutic agents in MM. The cBioPortal genomic database revealed that ITGA8 have significant tendency to co-occur with PDGFRA and PDGFRB and their mRNA expression were up-regulated in ITGA8 overexpressed MM cells. In summary, integrin-α8, which was up-regulated in MM of early relapse, mediates EMT-like phenotype, enhancing migration and invasion; therefore, it could serve as a potential marker of MM relapse and be a new therapeutic target.
The Dentino-Enamel Junction Revisited

The dentino-enamel junction is not an simple inert interface between two mineralized structures. A less simplistic view suggests that the dentino-enamel junctional complex should also include the inner aprismatic enamel and the mantle dentin. At early stages of enamel formation, fibroblast growth factor (FGF)-2 is stored in and released from the inner aprismatic enamel, possibly under the control of matrix metalloproteinase (MMP)-3. The concentration peak for MMP-2 and -9 observed in the mantle dentin coincided with a very low labeling for TIMP-1 and -2, favoring the cross-talk between mineralizing epithelial and connective structures, and as a consequence the translocation of enamel proteins toward odontoblasts and pulp cells, and vice versa, the translocation of dentin proteins toward secretory ameloblasts and cells of the enamel organ. Finally, in X-linked hypophosphatemic rickets, large interglobular spaces in the circumpulpal dentin were the major defect induced by the gene alteration, whereas the mantle dentin was constantly unaffected. Altogether, these data plead for the recognition of the dentino-enamel junctional complex as a specific entity bearing its own biological characteristics.