Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Semantic Hierarchies: A Continuous Vector Space Approach

Semantic hierarchy construction aims to build structures of concepts linked by hypernym-hyponym (“is-a”) relations. A major challenge for this task is the automatic discovery of such relations. This paper proposes a novel and effective method for the construction of semantic hierarchies based on continuous vector representation of words, named word embeddings, which can be used to measure the semantic relationship between words. We identify whether a candidate word pair has hypernym-hyponym relation by using the word-embedding-based semantic projections between words and their hypernyms. Our result, an F-score of 73.74%, outperforms the state-of-the-art methods on a manually labeled test dataset. Moreover, combining our method with a previous manually built hierarchy extension method can further improve F-score to 80.29%.
Synthetic lethality screen identifies a novel yeast myosin I gene (MYO5): myosin I proteins are required for polarization of the actin cytoskeleton

The organization of the actin cytoskeleton plays a critical role in cell physiology in motile and nonmotile organisms. Nonetheless, the function of the actin based motor molecules, members of the myosin superfamily, is not well understood. Deletion of MYO3, a yeast gene encoding a "classic" myosin I, has no detectable phenotype. We used a synthetic lethality screen to uncover genes whose functions might overlap with those of MYO3 and identified a second yeast myosin 1 gene, MYO5. MYO5 shows 86 and 62% identity to MYO3 across the motor and non- motor regions. Both genes contain an amino terminal motor domain, a neck region containing two IQ motifs, and a tail domain consisting of a positively charged region, a proline-rich region containing sequences implicated in ATP-insensitive actin binding, and an SH3 domain. Although myo5 deletion mutants have no detectable phenotype, yeast strains deleted for both MYO3 and MYO5 have severe defects in growth and actin cytoskeletal organization. Double deletion mutants also display phenotypes associated with actin disorganization including accumulation of intracellular membranes and vesicles, cell rounding, random bud site selection, sensitivity to high osmotic strength, and low pH as well as defects in chitin and cell wall deposition, invertase secretion, and fluid phase endocytosis. Indirect immunofluorescence studies using epitope-tagged Myo5p indicate that Myo5p is localized at actin patches. These results indicate that MYO3 and MYO5 encode classical myosin I proteins with overlapping functions and suggest a role for Myo3p and Myo5p in organization of the actin cytoskeleton of Saccharomyces cerevisiae.
English Inflection and Derivation 507 22 English Inflection and Derivation

Modern English approaches the ideal of an isolating language. Open-class items have comparatively few forms, so that many inflectional categories either remain unmarked, or are expressed periphrastically. The inflectional system is particularly simple, even by the standards of a West Germanic language. Regular paradigms contain at most four forms, and the inflectional exponents that distinguish these forms do not show much variation, apart from some phonologically conditioned allomorphy. English retains a number of ‘strong’ noun and verb forms, along with a few other irregular formations. These residual patterns do occasionally recruit a historically weak item, as in the case of dove or snuck, which, for many North American speakers, may replace the weak preterites dived and sneaked (Taylor 1994). However, the creation of new strong forms is so rare and sporadic that one cannot regard the strong patterns as productive inflection classes in any useful sense. The derivational system is considerably richer and more varied. In addition to compounding processes and ‘minor’ word formation processes, which are covered in greater length in chapter 21 of this volume, English has various prefixal and suffixal strategies for forming new lexemes. As with inflectional patterns, it is important to distinguish productive from non-productive patterns, in order to avoid overstating the complexity of the derivational system. Mixing synchronic and historical patterns leads to the idea that English contains separate Latinate and Germanic sublexicons, and that a given derivational exponent may occur either with Latinate or Germanic bases. Chomsky and Halle (1968) distinguish between ‘primary’ and ‘secondary’ affixes, whereas Aronoff (1976) introduces a feature [±Latinate], which allows affixes to ‘select’
A de novo 8.8‐Mb deletion of 21q21.1–q21.3 in an autistic male with a complex rearrangement involving chromosomes 6, 10, and 21

We report here on a normal‐appearing male with pervasive developmental disorder who was found to have a de novo, apparently balanced complex rearrangement involving chromosomes 6, 10, and 21: 46,XY,ins(21;10)(q11.2;p11.2p13)t(6;21)(p23;q11.2). Further analysis by high‐density oligonucleotide microarray was performed, showing an 8.8‐Mb heterozygous deletion at 21q21.1–q21.3. Interestingly, the deletion is distal to the translocation breakpoint on chromosome 21. The deletion involves 19 genes, including NCAM2 and GRIK1, both of which are associated with normal brain development and function, and have been considered as possible candidate genes in autism and other neurobehavioral disorders. This case underscores the utility of genomewide microarray analysis for the detection of copy number alterations in patients with apparently balanced complex rearrangements and abnormal phenotypes. © 2009 Wiley‐Liss, Inc.
Mitigating permeability-mediated risks in drug discovery

Importance of the field: Adequate permeability is essential for good oral absorption and proper interpretation of pharmacokinetic and pharmacological data. Permeability-limiting absorption and distribution, however, are complex phenomena involving multiple mechanisms and organs ranging from gastro-intestine, liver, kidney to BBB, while the options for pharmaceutical improvement of permeability are quite limited. Areas covered in this review: In this article, the comprehensive in silico, in vitro and in vivo/ex vivo/in situ tools to assess permeability are reviewed, alongside their advantages and limitations. Several key points relating to the in vivo predictive impact of in vitro permeability tools and the caveats when dealing with challenging discovery compounds were also addressed, using drug discovery cases and statistics in Novartis. What the reader will gain: The integrated strategy to properly utilize existing permeability tools for mitigating the permeability-related absorption or safety risks at the different stages of drug discovery and development processes is presented. Take home message: It is critical to utilize the comprehensive in silico, in vitro and in vivo/ex vivo tools to dial out permeability issues in early drug discovery, ensuring the right questions to be addressed using the right tools at the right time.
The effect of highly active antiretroviral therapy on liver function in human immunodeficiency virus-infected pediatric patients with or without hepatitis virus co-infection

Background: Co-infection of hepatitis virus is common in human immunodeficiency virus (HIV) infected adults in China. But little is known about hepatitis virus co-infection in pediatric HIV-infected subjects. The study aimed to investigate the impact of hepatitis B virus (HBV) and/or hepatitis C virus (HCV) co-infection and highly active antiretroviral therapy (HAART) on liver function of pediatric HIV-infected subjects. Materials and Methods: A cohort study including 101 pediatric HIV-infected subjects with HBV/HCV co-infection and 44 pediatric comparators with HIV mono-infection was carried out in Henan Province of China from September 2011 to September 2012. All patients received HAART for 1-year. HBV and HCV infection was determined by antibody tests. HIV RNA load, CD4+ T-cell counts and liver function were determined before and after HAART. The Student's t-test or a one-way ANOVA was used for normally distributed values and A Mann-Whitney U-test was performed for values without normal distribution using SPSS statistical package 18.0 (SPSS Inc.). Results: After HAART for 1-year, the median levels of viral load were decreased to lower limit of detection in 90.34% pediatric HIV-infected subjects with/without HBV/HCV co-infection (P < 0.001), and CD4+ T-cell counts increased significantly (P < 0.001). Compared with the pre-HAART, mean level of alanine aminotransferase (ALT) in each group had a significant increase after HAART (P < 0.01). The mean levels of ALT and aspartate aminotransferase (AST) in nevirapine (NVP) based HAART group increased significantly after HAART (P < 0.01). Mean change values of ALT and AST were significantly higher in the NVP based regimen group than in the efavirenz (EFV) based regimen group (P < 0.01). For HIV/HBV/HCV co-infected patients, mean change values of ALT and AST in NVP-based HAART group was significantly higher than that in EFV-based HAART group (P < 0.01). Conclusion: Highly active antiretroviral therapy can damage liver function in pediatric HIV-infected subjects, especially in those with HBV/HCV co-infection. NVP was more harmful to liver function of pediatric HIV-infected subjects than EFV.
Signaling pathways regulating Homer1a expression: implications for antidepressant therapy

Abstract Homer1a is upregulated by several different antidepressant measures, including non-pharmacological treatments, like sleep deprivation (SD) and electroconvulsive therapy (ECT) and antidepressant drugs, such as imipramine, fluoxetine and ketamine. Homer1a induction might thus be a crucial joint mechanism for antidepressant therapy in general. However, the upstream signaling pathways that regulate or induce Homer1a expression are still not well understood. The main focus of the present review is to offer an overview of the current knowledge about the potential role of Homer1a in depression and the signaling pathways responsible for Homer1a regulation. It is suggested here that a detailed characterization of the signaling mechanisms leading to Homer1a expression might provide novel therapeutic targets for antidepressant drug development.
A brief report on the relationship between self-control, video game addiction and academic achievement in normal and ADHD students

Background and aims: Over the last two decades, research into video game addiction has grown increasingly. The present research aimed to examine the relationship between video game addiction, self-control, and academic achievement of normal and ADHD high school students. Based on previous research it was hypothesized that (i) there would be a relationship between video game addiction, self-control and academic achievement (ii) video game addiction, self-control and academic achievement would differ between male and female students, and (iii) the relationship between video game addiction, self-control and academic achievement would differ between normal students and ADHD students. Methods: The research population comprised first grade high school students of Khomeini-Shahr (a city in the central part of Iran). From this population, a sample group of 339 students participated in the study. The survey included the Game Addiction Scale (Lemmens, Valkenburg & Peter, 2009), the Self-Control Scale (Tangney, Baumeister & Boone, 2004) and the ADHD Diagnostic checklist (Kessler et al., 2007). In addition to questions relating to basic demographic information, students’ Grade Point Average (GPA) for two terms was used for measuring their academic achievement. These hypotheses were examined using a regression analysis. Results: Among Iranian students, the relationship between video game addiction, self-control, and academic achievement differed between male and female students. However, the relationship between video game addiction, self-control, academic achievement, and type of student was not statistically significant. Conclusions: Although the results cannot demonstrate a causal relationship between video game use, video game addiction, and academic achievement, they suggest that high involvement in playing video games leaves less time for engaging in academic work.
Global Mapping of DNA Methylation in Mouse Promoters Reveals Epigenetic Reprogramming of Pluripotency Genes

DNA methylation patterns are reprogrammed in primordial germ cells and in preimplantation embryos by demethylation and subsequent de novo methylation. It has been suggested that epigenetic reprogramming may be necessary for the embryonic genome to return to a pluripotent state. We have carried out a genome-wide promoter analysis of DNA methylation in mouse embryonic stem (ES) cells, embryonic germ (EG) cells, sperm, trophoblast stem (TS) cells, and primary embryonic fibroblasts (pMEFs). Global clustering analysis shows that methylation patterns of ES cells, EG cells, and sperm are surprisingly similar, suggesting that while the sperm is a highly specialized cell type, its promoter epigenome is already largely reprogrammed and resembles a pluripotent state. Comparisons between pluripotent tissues and pMEFs reveal that a number of pluripotency related genes, including Nanog, Lefty1 and Tdgf1, as well as the nucleosome remodeller Smarcd1, are hypomethylated in stem cells and hypermethylated in differentiated cells. Differences in promoter methylation are associated with significant differences in transcription levels in more than 60% of genes analysed. Our comparative approach to promoter methylation thus identifies gene candidates for the regulation of pluripotency and epigenetic reprogramming. While the sperm genome is, overall, similarly methylated to that of ES and EG cells, there are some key exceptions, including Nanog and Lefty1, that are highly methylated in sperm. Nanog promoter methylation is erased by active and passive demethylation after fertilisation before expression commences in the morula. In ES cells the normally active Nanog promoter is silenced when targeted by de novo methylation. Our study suggests that reprogramming of promoter methylation is one of the key determinants of the epigenetic regulation of pluripotency genes. Epigenetic reprogramming in the germline prior to fertilisation and the reprogramming of key pluripotency genes in the early embryo is thus crucial for transmission of pluripotency.
Robust training on approximated minimal-entropy set

In this paper, we propose a general framework to learn a robust large-margin binary classifier when corrupt measurements, called anomalies, caused by sensor failure might be present in the training set. The goal is to minimize the generalization error of the classifier on non-corrupted measurements while controlling the false alarm rate associated with anomalous samples. By incorporating a non-parametric regularizer based on an empirical entropy estimator, we propose a Geometric-Entropy-Minimization regularized Maximum Entropy Discrimination (GEM-MED) method to learn to classify and detect anomalies in a joint manner. We demonstrate using simulated data and a real multimodal data set. Our GEM-MED method can yield improved performance over previous robust classification methods in terms of both classification accuracy and anomaly detection rate.
Fruit Quantity and Quality Estimation using a Robotic Vision System

Accurate localisation of crop remains highly challenging in unstructured environments such as farms. Many of the developed systems still rely on the use of hand selected features for crop identification and often neglect the estimation of crop quantity and quality, which is key to assigning labor during farming processes. To alleviate these limitations we present a robotic vision system that can accurately estimate the quantity and quality of sweet pepper (Capsicum annuum L), a key horticultural crop. This system consists of three parts: detection, quality estimation, and tracking. Efficient detection is achieved using the FasterRCNN framework. Quality is then estimated in the same framework by learning a parallel layer which we show experimentally results in superior performance than treating quality as extra classes in the traditional Faster-RCNN framework. Evaluation of these two techniques outlines the improved performance of the parallel layer, where we achieve an F1 score of 77.3 for the parallel technique yet only 72.5 for the best scoring (red) of the multi-class implementation. To track the crop we present a tracking via detection approach, which uses the FasterRCNN with parallel layers, that is also a vision-only solution. This approach is cheap to implement as it only requires a camera and in experiments across 2 days we show that our proposed system can accurately estimate the number of sweet pepper present, within 4.1% of the ground truth.
Effects of dorsiflexor endurance exercises on foot drop secondary to multiple sclerosis: a pilot study.

PURPOSE This is a pilot study to determine if endurance exercises for dorsiflexors will improve walking for people with foot drop secondary to MS, and if improvement in muscle endurance for persons with MS can be predicted based on the amount of central fatigue (CF) in the muscle. SUBJECTS Five individuals with foot drop secondary to MS and five age-matched controls. METHODS The intervention was 4 sets of 10 isometric contractions, at 60% of MVC, 3X/week, 8 weeks. Pretests-posttests included a dorsiflexor endurance test with superimposed electrical stimulation to measure CF, and a gait assessment including measurement of dorsiflexion at initial contact. RESULTS Two of 5 subjects with MS had significant improvement in muscle endurance in both legs and in dorsiflexor control during walking. Correlation between CF and improved endurance was not significant (r=-0.07). One of the subjects with significant improvement in endurance had a significant decrease in central activation failure. CONCLUSIONS AND DISCUSSION For individuals with foot drop secondary to MS, endurance exercises for the dorsiflexors can result in improved walking. CF may not be useful in predicting whether a muscle will improve in endurance with exercise. Improvement may result from either a peripheral training effect, a central learning effect, or both.
“We’re like community”: Collective identity and collective efficacy among transgender women in prisons for men

Recognizing that prisons house diverse populations in equally diverse types of environments, we utilize a unique data set and employ two well-known sociological concepts—collective identity and collective efficacy—to examine overlapping communities in which transgender women in prisons for men are situated and experience prison life. Findings from our mixed-methods analysis reveal that despite their considerable diversity, transgender prisoners embrace a collective identity and perceive collective efficacy as transgender prisoners more so than as prisoners per se; their collective identity and perceptions of collective efficacy are predicated on social-interactional factors rather than demographic characteristics and physical features of the carceral environment; and the more time a transgender inmate spends in prison, the more likely she is to identify with a community of transgender prisoners, but the less likely she is to feel an affective commitment to the transgender prisoner community or to expect other transgender prisoners to act on her behalf in prison. This novel application of dynamics generally understood to operate in social movements and residential neighborhoods—collective identity and collective efficacy, respectively—to the transgender community in California’s prisons sheds insight into the ways in which transgender women in prisons for men experience prison life, the loyalties around which prison life is organized, and the complexities around which communities in prison are structured.
Mediterranean Conference on Information Systems ( MCIS ) 2015 Factors Affecting Recommendations ' Acceptance in Off-Line Environment

Recommender Systems are traditionally been used in online environments. The present study focuses on factors affecting consumers’ acceptance in recommendation systems that will be used in traditional stores. For this purpose, we have developed a garment recommendation system applying and evaluating the aforementioned factors through an experiment. The main insights of the study indicate that consumers’ personality affect consumers’ preferences and garments’ style. Additionally, when a consumer has high motivation to purchase a particular garment (s)he does not waste his/her time for looking around other types of garments. This means that if a garment provider wants to increase cross selling then he has to recommend products that are close to that event such as accessories.
Tracking and Behavior Reasoning of Moving Vehicles Based on Roadway Geometry Constraints

Tracking and behavior reasoning of surrounding vehicles on a roadway are keys for the development of automated vehicles and an advanced driver assistance system (ADAS). Based on dynamic information of the surrounding vehicles from the tracking algorithm and driver intentions from the behavior reasoning algorithm, the automated vehicles and ADAS can predict possible collisions and generate safe motion to avoid accidents. This paper presents a unified vehicle tracking and behavior reasoning algorithm that can simultaneously estimate the vehicle dynamic state and driver intentions. The multiple model filter based on various behavior models was used to classify the vehicle behavior and estimate the dynamic state of surrounding vehicles. In addition, roadway geometry constraints were applied to the unified vehicle tracking and behavior reasoning algorithm in order to improve the dynamic state estimation and the behavior classification performance. The curvilinear coordinate system was constructed based on the precise map information in order to apply the roadway geometry to the tracking and behavior reasoning algorithm. The proposed algorithm was verified and evaluated through experiments under various test scenarios. From the experimental results, we concluded that the presented tracking and behavior reasoning algorithm based on the roadway geometry constraints provides sufficient accuracy and reliability for automated vehicles and ADAS applications.
Field Theories from Group Representations

We show that any complex (respectively real) representation of finite group naturally generates a open-closed (respectively Klein) topological field theory over complex numbers. We relate the 1-point correlator for the projective plane in this theory with the Frobenius–Schur indicator on the representation. We relate any complex simple Klein TFT to a real division ring.
Anticoagulants and Extracorporeal Circuits

Anticoagulants are pivotal to achieve circulation in extracorporeal circuits. In this review we discuss several anticoagulants in clinical use or in the preclinical phase. In hemodialysis the low-molecular-weight heparins (LMWHs) appear to be as effective and safe as standard heparin (SH). The main advantages of LMWHs in hemodialysis are the efficacy of a single loading dose, and the lack of laboratory control requirements. Newer anticoagulants such as dermatan sulfate and hirudin have been used in dose-finding studies in hemodialysis, although long-term experience is lacking. LMW heparinoid may be used to replace SH or LMWH in the case of heparin-induced thrombocytopenia. In cardiopulmonary bypass surgery (CPB) heparin-coated extracorporeal circuits are now being commonly applied. Their main advantage is the requirement of lower systemic dosages of heparin. In CPB the place of LMWH or other anticoagulants needs to be investigated.