Miracle-dz/UniFAR-FTUs huggingface dataset:
Summary of Results for Greenland Halibut from Trawl Surveys Conducted in NAFO Subareas 0 and 1 from 61'N to 74'N in 2001

In 2001 surveys were conducted in Subarea 0 by Canada and in Subarea 1 by Greenland. This is the first time that surveys have been conducted so extensively in a single season within Davis Strait and Baffin Bay (up to 74N). Results are presented for each of these areas in separate NAFO Scientific Council Research Documents (SCR Doc. 02/30, 02/47). This paper presents a summary of the data over the entire Greenland halibut stock area Subareas 0+1. The densities and abundances km were almost alike at comparable depths and areas and the total biomass and abundance was almost identical in the two areas. The length distribution in Div. 1CD and 0B was almost totally overlapping with modes at 45 cm. A single mode at 43 cm was seen in Div. 0A, while several modes were seen in the length distribution from Div. 1AB including modes at 8, 15 and 25 cm primarily constituted of fish coming from shallow waters <400 m not covered in the other areas. Introduction Greenland has conducted surveys for Greenland halibut annually in Div. 1CD since 1997. In 1999 Canada conducted a survey in Div. 0A and in 2000 Canada surveyed Div. 0B. In 2001 Canada surveyed Div. 0AB and the Greenland survey was expanded to cover Div. 1AB. The surveys were done one after the other and conducted with the same vessel, gear and skipper hence giving an unique opportunity to get an overview of the distribution and stock structure for Greenland halibut in the southern part of the Baffin Bay and northern part of the Davis Strait. Materials and Methods The Greenland research vessel Paamiut conducted the surveys using an Alfredo III bottom trawl with rock hopper gear. Mesh size was 140 mm with a 30 mm liner in the codend. The surveys were done one after the other, beginning with the Div. 0A survey September 16 and ending with the Div. 1CD survey 15 November 2001. For more detailed information on methods see papers by Treble (2002) and Jorgensen (2002). There were differences in the stratification schemes used in Subarea 0 and Subarea 1. For the purposes of this paper and in order to make comparisons easier between the Divisions the existing strata have been pooled. Instead of 5 depth strata in Div. 0A and 0B there are 3 (401-500 m, 501-1000 m, and 1001-1500 m). In Div. 1A (North) there are 3 instead of 4 (1-500 m, 501-1000 m, and 1001-1500 m). In Div. 1A (South) and 1B there are 4 instead of 7 (201-400 m,
Ameloblastoma of the soft tissue : an unusual presentation and literature review

Ameloblastoma or adamantinoma is the rarest of the three forms of odontogenic-type tumor. These tumors are benign, locally aggressive neoplasms arising from ameloblasts. They typically occur at the angle of the mandible, and the occurrence of this tumor in soft tissue, i.e., peripheral ameloblastoma (PAM), is extremely rare. PAM shows a male preponderance, and the most common sites are the mandibular canine and premolar lingual gingivae. In this paper, we present a case of ameloblastoma of cheek mucosa, which is considered a rare site of occurrence. The patient presented in the hospital with swelling of the left-side cheek. The mass was visible and involved the buccal vestibule, and upper and lower alveolus regions. Ameloblastoma was confirmed after the biopsy, then resection of the tumor was performed.
Evidence for Genetic Susceptibility Towards Development of Posttransplant Lymphoproliferative Disorder in Solid Organ Recipients

Background. Posttransplant lymphoproliferative disorder (PTLD) is a life-threatening complication after organ transplantation. The identification of risk factors for PTLD development is important for disease management. It has been shown that cytokine gene polymorphisms are associated with lymphoma and Epstein-Barr virus (EBV)-associated diseases in nonimmunosuppressed patients. In the present case-control study, we analyzed the impact of −1082 interleukin (IL)-10, −308 tumor necrosis factor (TNF)-&agr;, transforming growth factor (TGF)-&bgr;1 (codon 10, 25), and +874 interferon (IFN)-&ggr; gene single-nucleotide polymorphisms on the late onset EBV-associated PTLD. Methods. Out of 1,765 solid organ recipients, 38 patients with late-onset EBV-associated PTLD and 408 matched solid organ recipients were selected and enrolled in the study. Single nucleotide polymorphisms (SNPs) for −1082IL-10, −308TNF-&agr;, TGF-&bgr;1 (codon 10, 25), and +874IFN-&ggr; genes were analyzed by a sequence specific primer polymerase chain reaction and were related to the PTLD development, and the disease course and outcome. Results. The TGF-&bgr;1 (codon 25) GG genotype was detected more frequently in controls than in PTLD patients (odds ratio=0.34, 95% confidence interval: 0.17-0.69, P=0.0022). The frequency of -1082 IL-10 GG genotype was also significantly higher in controls than in PTLD patients (odds ratio=0.5, 95% confidence interval: 0.25-1.0, P=0.044). There were no associations between −308TNF-&agr;, TGF-&bgr;1 codon 10, and +874IFN-&ggr; SNPs and PTLD. Disease course and outcome were not associated with any cytokine SNPs. Conclusions. Polymorphisms in two key anti-inflammatory cytokines, IL-10 and TGF-beta, are associated with susceptibility to EBV-associated PTLD, suggesting that a shift in pro-/anti-inflammatory response is involved in the pathogenesis of PTLD.
A Multi-Method Investigation of Approach and Avoidance Temperaments: Self-Report, Physiological, and Daily Diary Measures

Approach and avoidance temperaments have gained recognition in personality research over the past decade; however, little has been done to understand their relationship with emotional reactivity processes and daily affective experience. The current study investigates the influence of these constructs on autonomic electrodermal activation during a picture-viewing procedure and on daily affect recorded over a fourteen-day diary collection. Self-reports, physiological responses, and daily diaries were collected from 170 participants. Correlation analyses examined the relationships between a new measure of approach and avoidance temperaments and previous temperament measures. Multi-level modeling analyses were employed for physiological and daily-diary analyses. Results revealed avoidance temperament moderation of the within-person relationship between negative images and SCRs but no approach moderation. Additionally, main effects of avoidance temperament on daily negative affect and approach temperament on daily positive affect were detected. Discussion focuses on understanding the interaction between personality individual differences, emotion processes, and daily affect and future directions for approach and avoidance research.
SPE-194889-MS Deep Learning Method for Latent Space Analysis

Seismic attributes are a well-established method for highlighting subtle features buried in seismic data in order to improve interpretability and suitability for quantitative analysis. Seismic attributes are a critical enabling technology in such areas thin bed analysis, 3D geobody extraction, and seismic geomorphology. When it comes to seismic attributes, we often suffer from an "abundance of riches" as the high dimensionality of seismic attributes may cause great difficulty in accomplishing even simple tasks. Spectral decomposition, for instance, typically produces 10's and sometimes 100's of attributes. However, when it comes to visualization, for instance, we are limited to visualizing three or at most four attributes simultaneously. My co-authors and I first proposed the use of latent space analysis to reduce the dimensionality of seismic attributes in 2009. At the time, we focused upon the use of non-linear methods such as self-organizing maps (SOM) and generative topological maps (GTM). Since then, many other researchers have significantly expanded the list of unsupervised methods as well as supervised learning. Additionally, latent space methods have been adopted in a number of commercial interpretation and visualization software packages. In this paper, we introduce a novel deep learning-based approach to latent space analysis. This method is superior in that it is able to remove redundant information and focus upon capturing essential information rather than just focusing upon probability density functions or clusters in a high dimensional space. Furthermore, our method provides a quantitative way to assess the fit of the latent space to the original data. We apply our method to a seismic data set from the Canterbury Basin, New Zealand. We examine the goodness of fit of our model by comparing the input data to what can be reproduced from the reduced dimensional data. We provide an interpretation based upon our method.
GENETICS OF SEXUAL ISOLATION AND COURTSHIP DYSFUNCTION IN MALE HYBRIDS OF DROSOPHILA PSEUDOOBSCURA AND DROSOPHILA PERSIMILIS

Despite the importance of sexual isolation to speciation, few studies have analyzed the genetic basis of interspecific mating discrimination, particularly using hybrid males. In this study, I investigated the genetic basis of sexual isolation using male hybrids of Drosophila pseudoobscura and D. persimilis. Hybrid male mating success was caused by interactions between the X‐chromosome and autosomes (or Y‐chromosome), and different arms of the X‐chromosome contributed to mating success with females of each species. Further, although there was an X‐chromosome component to mating success, its magnitude was not disproportionately large when compared with the proportion of the genome contained on this chromosome. Some hybrid males courted with an anomalously low intensity, so I simultaneously mapped the genetic basis of this “courtship dysfunction. ” The courtship dysfunction was caused by an interaction between the left arm of the X‐chromosome in D. persimilis with the autosomes or Y‐chromosome from D. pseudoobscura. Anomalous courtship behavior in interspecific hybrids can obscure the conclusions of studies of the genetics of sexual isolation, so courtship intensity should be evaluated in all such investigations.
Statistical Analysis on Lightweight Block Cipher , S IMON

In this paper, we present a statistical analysis on the members of the lightweight block cipher, SIMON. SIMON family of block ciphers was proposed by the National Security Agency (NSA) in June 2013. It consist variety of blocks and key sizes. Even though it is designed to be flexible on variety of platforms but it is tuned for optimal performance on hardware. In this paper, analysis was performed on SIMON64/96, SIMON96/96 and SIMON128/128 by using NIST Statistical Test Suite. These algorithms were tested using the output sequence generated from nine data categories. From the analysis conducted, it is conclude that the outputs from the sample tested on the algorithms are non-random.
Wordnet-based Evaluation of Large Distributional Models for Polish

The paper presents construction of large scale test datasets for word embeddings on the basis of a very large wordnet. They were next applied for evaluation of word embedding models and used to assess and compare the usefulness of different word embeddings extracted from a very large corpus of Polish. We analysed also and compared several publicly available models described in literature. In addition, several large word embeddings models built on the basis of a very large Polish corpus are presented.
Automatic Detection of Code-switching in Arabic Dialects by

Multilingual and multidialectal speakers commonly switch between languages and dialects while speaking, leading to the linguistic phenomenon known as code-switching. Most acoustic systems, such as automatic speech recognition systems, are unable to robustly handle input with unexpected language or dialect switching. Generally, this results from both a lack of available corpora and an increase in the difficulty of the task when applied to code-switching data. This thesis focuses on constructing an acoustic-based model to gather code-switching information from utterances containing Modern Standard Arabic and dialectal Arabic. We utilize the multidialectal GALE Arabic dataset to classify the code-switching style of an utterance and later to detect the location of code-switching within an utterance. We discuss the failed classification schemes and detection methods, providing analysis for why these approaches were unsuccessful. We also present an alignmentfree classification scheme which is able to detect locations within an utterance where dialectal Arabic is likely being spoken. This method presents a marked improvement over the proposed baseline in average detection miss rate. By utilizing this information, Arabic acoustic systems will be more robust to dialectal shifts within a given input. Thesis Supervisor: James Glass Title: Senior Research Scientist Thesis Supervisor: Suwon Shon Title: Research Scientist
Gd@C82 metallofullerenes for neutron capture therapy—fullerene solubilization by poly(ethylene glycol)-block-poly(2-(N, N-diethylamino)ethyl methacrylate) and resultant efficacy in vitro

Abstract Poly(ethylene glycol)-block-poly(2-(N,N-diethylamino)ethyl methacrylate) (PEG-b-PAMA) was found to solubilize fullerenes such as C60, and this technique was applied to metallofullerenes. Gd@C82 was easily dissolved in water in the presence of PEG-b-PAMA without any covalent derivatization, forming a transparent complex about 20–30 nm in diameter. Low cytotoxicity was confirmed in vitro. Neutron irradiation of cultured cells (colon-26 adenocarcinoma) with Gd@C82-PEG-b-PAMA-complexed nanoparticles showed effective cytotoxicity, indicating the effective emission of gamma rays and internal conversion electrons produced from the neutron capture reaction of Gd. This result suggests a potentially valuable approach to gadolinium-based neutron capture therapy.
BLOCKCHAIN: MINING OF HASH FUNCTION USING POW ALGORITHM

Cryptography is an art of secret writing. Major cryptography applications are Cryptographic hash functions (message digests), block chain, MAC, digital signature and digital time stamping. The cryptographic hash work is essentially utilized for security objectives for example, credibility, computerized marks, uprightness and many more. Blockchain is a growing list of transactions record. Blockchain-based applications are covering many fields including financial services, reputation systems, Internet of Things (IoT), healthcare, asset management, Insurance, Voting and Supply chain management. In this paper, the basic structure of blockchain is presented and general steps or procedure for utilizing blockchain in health care sector for managing patients records have been discussed. The concept of mining is related to the proof-of-work consensus algorithm. Although blockchain technology faces two major problems scalability and security. This paper contains an overview of healthcare services which are used to make sure that the patient’s health management is given top priority. Federal regulations are made in the health sector in order to provide effective patient care. It affects many sectors like business, industry and financial area. Security, data sharing and Trust computation are major problems that are being faced in health care domain. The structure of blockchain procedure is defined in terms of mining of hash functions for different blocks. Proof-of –work (POW) consensus algorithm is used to find the value of hash functions, previous hash functions, digital time stamping, and nonce value for each block in terms of results. Mainly Blockchain transaction procedure is used for better security. Using Mining technique, it is proved that the proposed method performs better than the existing methods.
Absurdity, Incongruity and Laughter

Abstract In The Myth of Sisyphus, Camus recommends scornful defiance in the face of our absurd, meaningless existence. Although Nagel agrees that human life possesses an absurd dimension, he objects to Camus’ existentialist ‘dramatics’. For Nagel, absurdity arises from the irreducible tension between our subjective and objective perspectives on life. In this paper I do two things: (i) critically reconstruct Camus’ and Nagel's positions, and (ii) develop Nagel's critique of Camus in order to argue that humour is an appropriate response to absurdity.
Rate of HIV‐1 decline following antiretroviral therapy is related to viral load at baseline and drug regimen

Objectives and design:The dynamics of viral decline following the initiation of antiretroviral treatment were studied in 29 HIV-1-infected patients participating in a two-arm trial comparing immediate (group A: ritonavir, zidovudine and lamivudine) and delayed (group B: ritonavir supplemented by zidovudine and lamivudine on day 21) triple therapy. Parameters underlying viral dynamics were estimated using mathematical models tailored to these treatment protocols. Results:The decline in plasma HIV-1 density between day 0 and 21 was steeper in group A (−2.27 ± 0.46 log10) than group B (−1.87 ± 0.56 log10). In a subset of patients amenable to full mathematical analysis, a short-lived productively infected cell compartment (producing ∼97% of total virions) decayed with a half-life of 1.0–2.5 days, whereas a long-lived infected cell compartment decayed with a half-life of 18.8–32.8 days. Estimates for the time for the elimination of virus from these two cell populations ranged from 474 to 802 days. The rate of loss of productively infected CD4+ T cells was positively correlated with baseline viral load in group A and in the combined dataset. Conclusions:These results suggest that HIV-infected cell populations may have a faster turnover in patients with higher viral loads due to higher infection rate parameters, higher rates of virus production, or lower virus clearance rates.
Mixed lineage kinase 3 mediates release of C‐X‐C motif ligand 10–bearing chemotactic extracellular vesicles from lipotoxic hepatocytes

Mixed lineage kinase 3 (MLK3) deficiency reduces macrophage‐associated inflammation in a murine model of nonalcoholic steatohepatitis (NASH). However, the mechanistic links between MLK3 activation in hepatocytes and macrophage‐driven inflammation in NASH are uncharted. Herein, we report that MLK3 mediates the release of (C‐X‐C motif) ligand 10 (CXCL10)‐laden extracellular vesicles (EVs) from lipotoxic hepatocytes, which induce macrophage chemotaxis. Primary mouse hepatocytes (PMHs) and Huh7 cells were treated with palmitate or lysophosphatidylcholine (LPC). Released EVs were isolated by differential ultracentrifugation. LPC treatment of PMH or Huh7 cells induced release of EVs, which was prevented by either genetic or pharmacological inhibition of MLK3. Mass spectrometry identified the potent chemokine, CXCL10, in the EVs, which was markedly enriched in EVs isolated from LPC‐treated hepatocytes versus untreated cells. Green fluorescent protein (GFP)‐tagged CXCL10 was present in vesicular structures and colocalized with the red fluorescent protein (RFP)‐tagged EV marker, CD63, after LPC treatment of cotransfected Huh‐7 cells. Either genetic deletion or pharmacological inhibition of MLK3 prevented CXCL10 enrichment in EVs. Treatment of mouse bone‐marrow–derived macrophages with lipotoxic hepatocyte‐derived EVs induced macrophage chemotaxis, an effect blocked by incubation with CXCL10‐neutralizing antisera. MLK3‐deficient mice fed a NASH‐inducing diet had reduced concentrations of total plasma EVs and CXCL10 containing EVs compared to wild‐type mice. Conclusions: During hepatocyte lipotoxicity, activated MLK3 induces the release of CXCL10‐bearing vesicles from hepatocytes, which are chemotactic for macrophages. (Hepatology 2016;63:731–744)
Use of whole genome sequence data for QTL mapping and genomic selection

Current generation genome sequencing technology is about two-orders of magnitude faster and more cost effective than the technologies used for the sequencing of the human genome. It is more correct to call this resequencing technology, since it is used on species with known reference sequence. Future technologies are predicted to reduce cost by another 100 fold so that sequencing an entire human genome for ~$1,000 is considered achievable in the future (Mardis, 2008). Hence, in the near future we can expect to have whole genome sequence data available on substantial numbers of animals.
Muscle strength, disability and mortality

The aims of this review are to address (1) the role of muscle strength in the disablement process and (2) muscle strength as a predictor of length of life using data from prospective studies. Functional limitations, such as slow walking speed, predispose older people to disabilities. How much strength is needed for daily motor tasks such as walking varies according to other impairments present. For example, when postural balance is good, only minimum amount of strength is needed for walking. However, in the presence of balance impairment, having good level of strength may help to compensate for the deficit. Having strength well above the required level indicates reserve capacity. It was studied using data from the Honolulu Heart Program launched in 1965 among 8006 men initially aged 45–68 years, whether reserve of strength would be protective of development of future disability. All men with documented diseases at baseline were excluded from the analyses. Those men who were in the lowest third of the distribution of grip strength at baseline were at two to three times greater risk of developing disabilities assessed 25 years later compared to the highest third. It is possible that before they reach the disability level, those with greater reserve of strength may afford to lose more strength, for example following bed rest and inactivity associated with an illness. Midlife grip strength was also found to predict long‐term total mortality: those with poorer strength at baseline were more likely to die over the follow‐up period of 30 years. The association between muscle strength and disability is largely explained by biomechanical mechanisms. However, the mechanism explaining the association between muscle strength and mortality risk still remains to be explored.
Exploring Multivariate Event Sequences Using Rules, Aggregations, and Selections

Multivariate event sequences are ubiquitous: travel history, telecommunication conversations, and server logs are some examples. Besides standard properties such as type and timestamp, events often have other associated multivariate data. Current exploration and analysis methods either focus on the temporal analysis of a single attribute or the structural analysis of the multivariate data only. We present an approach where users can explore event sequences at multivariate and sequential level simultaneously by interactively defining a set of rewrite rules using multivariate regular expressions. Users can store resulting patterns as new types of events or attributes to interactively enrich or simplify event sequences for further investigation. In Eventpad we provide a bottom-up glyph-oriented approach for multivariate event sequence analysis by searching, clustering, and aligning them according to newly defined domain specific properties. We illustrate the effectiveness of our approach with real-world data sets including telecommunication traffic and hospital treatments.
Development and Optimization of Syntax Tagging Tool on Diagrammatic Treebank

An efficient and convenient tagging tool plays a crucial role in the Treebank construction. As the results of analysised on the existing syntax tagging tool which was based on the Sentence Pattern Structure, this paper redesigned a human-computer interaction graphical syntax tagging tool. It added the part of speech tagging and semantic tagging. This paper illustrates the creative mode and functions of this tool in the Treebank building project from the perspective of practice.