Miracle-dz/UniFAR-FTUs huggingface dataset:
Refining the Distributional Inclusion Hypothesis for Unsupervised Hypernym Identification

Words belonging to the same semantic domain are organized into networks of paradigmatic relations such as synonymy, antonymy, hypernymy, meronymy, and these are related to the possible inferences that a speaker is able to make when understanding a sentence. The formalization of such relations has been central to both linguistic and computer science research, as they provide a valuable resource for many Natural Language Processing tasks such as word-sense disambiguation or query expansion. As symbolic models were dominating in linguistics, paradigmatic semantic relations have long been modeled as hierarchies in semantic networks like WordNet (Fellbaum 1998). In computational semantics, several unsupervised methods for the automatic detection of paradigmatic relations have been investigated: here we present a new approach based on a smoothed version of the Distributional Inclusion Hypothesis. This is an extension of the Distributional Hypothesis, which claims that lexemes with similar distributional properties have similar meanings. This assumption, which was implicitly introduced in Harris’ and Firth’s works in the 50s, is the grounding idea of Distributional Semantics: semantically similar words could be detected in similar environments, that is similar contexts. Therefore, the semantic similarity between words can be represented in terms
Day/night patterns of melatonin and oxidative stress markers in the rat Harderian gland

The rodent Harderian gland (HG) is a highly porphyrinogenic organ that is vulnerable since free radicals elicited by excessive porphyrins lead to oxidative damage. We assessed the day/night HG oxidative stress status by assaying lipid peroxidation products thiobarbituric acid-reactive substances (TBARS) and antioxidant defence systems: glutathione peroxidase (GPx), Cu, Zn-superoxide dismutase (SOD), and melatonin in male Wistar rats acclimatized to light/dark cycles regimen of 12:12 for 3 weeks, before being sacrificed in the middle of the light phase or in the middle of the dark phase. Whereas TBARS concentrations were significantly higher during the photophase compared with scotophase (p < 0.05), no day/night differences were noted in the endogenous cytoprotective and antioxidant agents, such as melatonin, GPx and SOD, in these organs. We show here that increased lipid peroxidation mostly during the light phase, a probable consequence of photoreaction, is not counteracted by HG melatonin and antioxidant enzymes GPx and SOD contents.
The Effect of Indoor Environment Quality on Customer Service Employees' Creativity in Telecommunication Companies in Saudi Arabia

Mahmoud M. H. Alayis, Abdalla Zahri Amin, Sayed Hassan Abdelmajeed Assistant professor, Business Administration department, College of Applied Studies & Community Service, Imam Abdulrahman Bin Faisal University, Assistant professor, Department of Marketing, College of Applied Studies & Community Service, Imam Abdulrahman Bin Faisal University, Assistant professor, Department of Marketing, College of Applied Studies & Community Service, Imam Abdulrahman Bin Faisal University
The Impact of the Economic Recession on Protest Participation in Europe

The European recession from 2008 has been linked to higher political unconventionality across countries in recent studies. Research on the impact of the economic downturn on people’s engagement in protest has focused on data mostly from 2008 to 2012. Recent findings have supported a relative deprivation theory based explanation of why Europeans choose to participate in street marches. This article assesses the relationship between the economy and protest in 2014, six years after the crisis took place, a long enough period for countries to have improved their economic situation and for people’s interpretations of the economy to be less relevant. Does the economy still matter to explain protest if it is not as salient any longer? This research employs data for 13 European Union member states from the 2014 European Social Survey to test the importance of national level objective economic indicators as well as individual level evaluations of the economy to study the link between confrontational activism and economic variables well after the economic recession. Some of the findings suggest a limited relevance of the economy in the explanation of protest, for objective economic variables, yet a more salient role for personal interpretations of economic wellbeing.
Teaching One Health: Animal husbandry in a post-graduate interdisciplinary curriculum

Background and Aim: This work presents the implementation of a course on animal husbandry in an interdisciplinary curriculum based on the One Health concept. The study describes learners’ viewpoints about the course and its insertion in the curriculum. The study aimed at identifying avenues for improvement. Materials and Methods: Fourteen learners (health professionals) participated to individual semi-structured interviews lasting for 25-35 min each. Learners’ opinions were extracted from the transcribed interviews and analysis themes were identified from recurrent narratives. Results: The learners perceived animal husbandry as relevant for One Health and potentially useful for their future practice. More precisely, learners were considering a future use of the newly acquired knowledge and skills in the advising of communities facing malnutrition and for the strategic planning at wider levels. Teaching methods were appreciated thanks to the active learning style. Unmet expectations concerned the coverage of impacts and relationships to other disciplines, the inclusion of viewpoints from other disciplines into the teaching, and the degree of contextualization of contents, e.g. through case studies. Accordingly, the main avenues for improvement, as identified by learners, were to give a prior focus on impacts (especially on human health) for all contents and to increase the number of case studies, but also to better address the questions of the usefulness of animal products in the management of malnutrition. Conclusion: The analysis of learners’ expectations (met and unmet) and their recommendations regarding the future of the course helped identifying both successes and important challenges for teachers. Two main challenges are highlighted. First, increased interdisciplinarity is needed within the course to better cover the notion of impact of animal husbandry on health, society and environment. Second, the complexity of the domain under consideration will call for important efforts of clarification of the course structure and objectives in terms of skills acquisition.
Response of temperate microplankton communities to N:Si ratio perturbation

In order to study the effect of the nitrogen:silicon (N:Si) ratio on temperate microplankton food webs, mesocosm experiments were conducted in Trondheim (Norway) using two different ratios (molar ratios of 1:1 and 4:1). With the exception of diatoms, the increase in abundance of all microbial groups [phototrophic nanoflagellates, autotrophic dinflagellates, bacteria, heterotrophic nanoflagellates (HNAN), heterotrophic microflagellates and ciliates] was significantly greater in the high N:Si treatment. Midway through the experiment, HNAN biovolume exceeded that of bacteria in the high N:Si treatment, indicating strong top-down grazing control. Heterotrophic microflagellate biovolume exceeded ciliate biovolume under both nutrient regimes. However, heterotrophic plankton failed to respond rapidly to increased diatom biomass. The heterotrophic:autotrophic biovolume ratio remained <0.1 for the majority of the experiment, suggesting that, given similar nutrient concentrations and ratios, much of the autotrophic production would be lost from surface waters through diatom aggregation and sinking before the micrograzer community was able to respond. Measured differences in diatom physiology between treatments are discussed with respect to nutritional quality and consequences for planktonic grazers.
Trends in the evolution to robot-assisted minimally invasive thoracoscopic esophagectomy

Much effort has been made to improve outcomes and/or minimize the invasiveness of esophagectomy for thoracic esophageal cancer. This has led to the evolution from open esophagectomy to thoracoscopic minimally invasive esophagectomy (MIE), and from MIE to robot-assisted minimally invasive esophagectomy (RAMIE). RAMIE is being applied clinically to overcome the limitations of MIE. In this article, we review the trends in the evolution from thoracoscopic MIE to RAMIE. It has now been demonstrated that RAMIE is both safe and feasible, and may decrease morbidity and mortality rates associated with esophagectomy and improve oncological outcomes. On the other hand, there are still many problems that need to be solved.
CHAPTER TWENTY

1. Group 5A: nsnp; As with groups IIIA and IVA, metallic character increases going down a group. Nitrogen is strictly a nonmetal in properties, while bismuth, the heaviest Group 5A element, has mostly metallic physical properties. The trend of increasing metallic character going down the group is due in part to the decrease in electronegativity. Nitrogen, with its high electronegativity, forms covalent compounds as nonmetals do. Bismuth and antimony, with much lower electronegativities, exhibit ionic character in most of their compounds. Bismuth and antimony exist as +3 metal cations in these ionic compounds.
A Multi-Channel DS-CDMA Media Access Control Protocol for Wireless Sensor Networks

This paper proposes a novel multi-channel media access control (MAC) protocol for direct sequence code division multiple access (DS-CDMA) wireless sensor network. Our protocol design uses combination of DS-CDMA and frequency division to reduce the channel interference and consequently improves system capacity and network throughput. We provide theoretical characterization of the mean multiple access interference (MAI) at a given node in relation to the number of frequency channels. We show that by using only a small number of frequency channels, the mean MAI can be reduced signiﬁcantly. Through discrete event simulation, we provide comparison of our proposed system to a pure DS-CDMA system as well as a contention based system. Simulation results reveal that our proposed system can achieve 15-20 times of system efﬁciency than a contention based system. When same number of packets are transmitted in the network, our system consumes only 10% of communication energy than the contention based system. Adistributed channel allocation protocol is also proposed for the network formation phase. We prove that our algorithm converges with correct channel assignments. Simulation results reveal that much smaller number of channels are required than theoretical value when nodes are uniformly randomly deployed.
Cooperative Adaptive Cruise Control Design and Implementation

In this manuscript a design and implementation of CACC on an autonomous vehicle platform (2017 Ford Fusion) is presented. The developed CACC controls the intervehicle distance between the target vehicle and ego vehicle using a feedforward PD controller. In this design the feedforward information is the acceleration of the target vehicle which is communicated through Dedicated Short-Range Communication (DSRC) modem. The manuscript explains the detailed architecture of the designed CACC with used hardware and methods for the both simulation and experiments. Also, an approach to overcome detection failures at the curved roads is presented to improve overall quality of the designed CACC system. As a result, the initial simulation and experimental results with the designed CACC system is presented in the paper. The presented results indicate that CACC improves the car following performance of the ego vehicle as compared to the classical Adaptive Cruise Controller.
Sustainable Underwater Robotic Networks using Autonomous Mobile Wireless Energy Transfer

The exploration and exploitation of ocean resources are labor-intensive and dangerous for human beings. The adoption of autonomous robots provides an efficient and safer solution. However, a single underwater robot has limited energy and communication capability which restrict its operating duration and mission range. The underwater cyber-physical system using swarm robotics is highly desirable where robots move cooperatively to accomplish tasks that cannot be done by any individual. In this paper, an autonomous mobile wireless charger is proposed to be used in order to recharge mobile robots to overcome the energy limitation and further extend the mission duration. First, the feasibility of underwater wireless energy transfer is proved and its achievable efficiency is obtained. Then, a model is developed to reveal the interplay among the communication, the wireless energy transfer, and the optimal motion control. Our results show that the trajectory tracking can significantly affect wireless energy transfer efficiency. Furthermore, the optimal trajectory for the mobile charger depends on the swarm size and dynamics.
Targeting the active β-catenin pathway to treat cancer cells

The adenomatous polyposis coli or β-catenin genes are frequently mutated in colorectal cancer cells, resulting in oncogenic activation of β-catenin signaling. We tried to establish in vitro and in vivo models for selectively killing human cancer cells with an activated β-catenin/T-cell factor (Tcf) pathway. We used a recombinant adenovirus that carries a lethal gene [p53-up-regulated modulator of apoptosis (PUMA)] under the control of a β-catenin/Tcf–responsive promoter (AdTOP-PUMA) to selectively target human colorectal cancer cells (SW480, HCT116, DLD-1, and LS174T), hepatocellular carcinoma (HepG2), and gastric cancer cells (AGS) in which the β-catenin/Tcf pathway is activated, and compared its efficiency in killing cancer cells in which this pathway is inactive or only weakly active. AdFOP-PUMA, carrying a mutant Tcf-binding site, was used as control virus. The combined effect of AdTOP-PUMA with several chemotherapeutic agents (5-florouracil, doxorubicin, and paclitaxel) was also evaluated. The effect of AdTOP-PUMA on colorectal cancer cells was also examined in nude mice: SW480 cells were infected with the AdTOP-PUMA and AdFOP-PUMA, and then inoculated s.c. into nude mice. The TOP-PUMA adenovirus inhibited cell growth in a dose-dependent fashion, depending on the signaling activity of β-catenin. The growth of cells displaying high levels of active β-catenin/Tcf signaling was inhibited after infection with AdTOP-PUMA, whereas that of cells with low levels of β-catenin signaling was not. Growth inhibition was associated with induction of apoptosis. Chemotherapy synergistically enhanced the effect of AdTOP-PUMA. A combination of the adenovirus system with standard therapy may improve the efficacy and reduce the toxicity of therapy in humans. [Mol Cancer Ther 2006;5(11):2861–71]
Autism Diagnostic Observation Schedule

The Autism Diagnostic Observation Schedule (ADOS) is a highly recognized evaluative measure for diagnosing Autism Spectrum Disorder (ASD). It is used in individuals 12 months old and older (including adults). It is a systematic observation tool, which requires extensive training to perform and interpret. It is one part of a comprehensive evaluation and should be used along with additional assessments and parent/caregiver interviews when testing for ASD. It is most frequently used in research and specialty clinics.
REVIEW OF PHYSICAL ACTIVITIES RECOGNITION FOR PATIENTS WITH SPINAL CORD INJURIES

Rehabilitation through physical activities is required to provide disabled individuals with the ability to perform activities of daily life. It redevelops motor skills which promote quality of life and increase level of self-care. To evaluate therapy programs, a therapist is involved in the process to identify whether the patient exercised the required activities through questionnaires and interviews with the patient. However, such involvement is not only time consuming and subjective in nature, but also might lead to inaccurate assessment due to human error. To overcome such limitations and enhance the rehabilitation process, these activities might be detected using activity recognition systems. The objective of this study is to review the literature on upper-limb activity recognition using wearable sensors for able-bodied and disabled populations with more emphasize on the latter. A total of 17 studies were included in the review. The type of recognized activities, approach used to build the model, and the number and health status of the participants were varied across the studies. Although several researches recognize part of the activities used to rehabilitate patients with spinal cord injuries, no one has completely covered these activities.
Mechanical Properties of Fly Ash filled GFRP Composite Material

In the present investigation, synthesis and characterization of a polymer composite material comprising of glass fiber reinforcement, epoxy resin and fly ash has been carried out. Epoxy glass composites with different measure of fly ash were manufactured by hand lay-up method. The newly developed composites are subjected to various tests to study their mechanical behavior. Tensile test, three point bending and Vickers hardness were conducted as per the ASTM standards to find the influence of filler material on mechanical characteristics of GFRP composites. The distribution and interaction of constituent materials plays major role in their properties. The analysis confirmed the change in properties of the GFRP with respect to the percentage of fly ash present in the composite material. The glass fiber reinforced composite with 2% of fly ash had better strength compared to composite of 5% fly ash.
Matrix (factorization) reloaded: flexible methods for imputing genetic interactions with cross-species and side information.

MOTIVATION Mapping genetic interactions (GIs) can reveal important insights into cellular function and has potential translational applications. There has been great progress in developing high-throughput experimental systems for measuring GIs (e.g. with double knockouts) as well as in defining computational methods for inferring (imputing) unknown interactions. However, existing computational methods for imputation have largely been developed for and applied in baker's yeast, even as experimental systems have begun to allow measurements in other contexts. Importantly, existing methods face a number of limitations in requiring specific side information and with respect to computational cost. Further, few have addressed how GIs can be imputed when data are scarce. RESULTS In this article, we address these limitations by presenting a new imputation framework, called Extensible Matrix Factorization (EMF). EMF is a framework of composable models that flexibly exploit cross-species information in the form of GI data across multiple species, and arbitrary side information in the form of kernels (e.g. from protein-protein interaction networks). We perform a rigorous set of experiments on these models in matched GI datasets from baker's and fission yeast. These include the first such experiments on genome-scale GI datasets in multiple species in the same study. We find that EMF models that exploit side and cross-species information improve imputation, especially in data-scarce settings. Further, we show that EMF outperforms the state-of-the-art deep learning method, even when using strictly less data, and incurs orders of magnitude less computational cost. AVAILABILITY Implementations of models and experiments are available at: https://github.com/lrgr/EMF. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Changing climatic sensitivity and effects of drought frequency on the radial growth of Fagus sylvatica at the xeric frontiers of Central Europe

⎯ The influence of climate on the vitality and growth of European beech (Fagus sylvatica L.) has become a focus of forest research over the last decade. Beech locally reaches its continental xeric limit in Hungary within its European distribution area, giving a unique opportunity to study the climatic sensitivity of the species, based on tree-ring analysis. A comparison of four geographically and climatically different sites is presented from Hungary, combining data collected on stand level with systematic forest inventory plots. Tree-ring width chronologies covering the past 90–100 years of the lifetime of mature and middle-aged trees and different climatic variables were used to evaluate the growth-climate relationships and recent growth trends of the selected beech stands by multivariate regression analysis. Strong relationships were found between annual radial growth and (mainly water availability related) meteorological variables of the vegetation season, exceeding previous results from elsewhere in Europe. A clear spatiotemporal variability of the growth sensitivity was also revealed, following a (climatic) gradient from the northern to the southwestern parts of the country. In the northern sites, climatic sensitivity was found to be more fluctuating, while southwestern sites facing more continuous effects of changing climatic conditions seem to show weakening correlation over time. Trends of relative basal area increments and climatic
Evidence-based annotation of proteins and transcripts in the sulfate-reducing bacterium Desulfovibrio vulgaris Hildenbor- ough

Background: Desulfovibrio vulgaris Hildenborough is a model sulfate-reducing bacterium. Despite previous proteomics and gene expression studies, little was known about the accuracy of its genome annotation or the structures of its transcripts. Results: We used high-resolution tiling microarrays and 5’ RNA sequencing to identify transcripts. We combined the transcripts with comparative analysis and proteomics data to make 505 revisions to the original annotation of 3,531 proteins: we removed 255 (7.5%) proteins, changed 123 (3.6%) start codons, and added 127 (3.7%) proteins that were missed. We identified the first nucleotide position for 1,124 transcripts. Sequence analysis of these promoters showed that D. vulgaris σ prefers a different -10 box and -35 box than Escherichia coli σ does. For 72 genes, a major transcript began within the upstream protein-coding gene, which confounds measurements of the upstream gene’s expression. 549 transcripts ended at intrinsic (rho-independent) terminators, but most other transcripts seemed to have variable ends. We found low-level antisense expression of most genes, and the 5’ ends of these transcripts mapped to promoter-like sequences. Because antisense expression was reduced for highlyexpressed genes, we suspect that elongation of non-specific antisense transcripts is suppressed by transcription of the sense strand. Conclusions: Annotating the proteins in this GC-rich genome was challenging. Tiling data had higher coverage than shotgun proteomics and hence led to most of the corrections, but many errors probably remain. Aspects of the D. vulgaris transcriptome that did not match the classical operon model include transcripts that begin at the start codon, promoters within protein-coding genes, non-specific 3’ termini, and non-specific antisense transcription. Our data are available at http://genomics.lbl. gov/supplemental/DvHtranscripts2011/.
Bayesian Optimisation of Solver Parameters in CBMC

Satisﬁability solvers can be embedded in applications to perform speciﬁc formal reasoning tasks. CBMC, for example, is a bounded model checker for C and C++ that embeds SMT and SAT solvers to check internally generated formulae. Such solvers will be solely used to evaluate the class of formulae generated by the embedding application and therefore may beneﬁt from domain-speciﬁc parameter tuning. We propose the use of Bayesian optimisation for this purpose, which oﬀers a principled approach to black-box optimisation within limited resources. We demonstrate its use for optimisation of the solver embedded in CBMC speciﬁcally for a collection of test harnesses in active industrial use, for which we have achieved a signiﬁcant improvement over the default parameters