Miracle-dz/UniFAR-FTUs huggingface dataset:
Gilles-Maurice De Schryver (ed.) AWay withWords: Recent Advances in Lexical Theory

Patrick Hanks probably no longer needs any introduction to lexicographers and lexicologists, and especially not to readers of the International Journal of Lexicography. He has published at least one article or book review every year in IJL since 2004 and his regular contributions to Euralex conferences and to many other journals provide clear evidence that this prolific author cannot be ignored as soon as one discusses modern lexicography. This brief book review will not attempt to describe the multiple facets of Hanks’s contributions to lexicography, lexical semantics, computational and corpus linguistics, and the study of word meaning in general. I encourage the reader to read Gilles-Maurice de Schryver’s excellent introduction to the Festschrift he edited in honour of his friend on the occasion of his 70th birthday. De Schryver rightly points out that ‘Hanks is a linguistic theorist and empirical corpus analyst, also an onomastician, but above all he is a lexicographer’ (p.4). For linguists who, like me, have always taken a lot of pleasure in reading Hanks’s papers on phraseology, on idioms, on metaphors, on word associations, on collocations and collocation extraction, on dictionary definitions, on corpus pattern analysis, on linguistic norms and exploitations, or on proper names, it may be too easy to forget that he is primarily a lexicographer, indeed, and that he has played a pivotal role in several major dictionaries of the English language, including the Collins Dictionary of the English language (1979), the Collins COBUILD English Language Dictionary (1987) and the New Oxford Dictionary of English (1998). Beyond these direct contributions to lexicography, it is safe to claim that if today’s dictionaries, especially learners’ dictionaries, are better at presenting collocational material and phraseological data, it is largely due to the fact that, in 1989, Patrick Hanks showed us how to discover the most significant collocates in a seminal and influential paper he wrote with Ken Church (Church and Hanks 1989). This Festschrift is divided into three parts: a theoretical section, a computational section, and a lexicographic section. The editor’s introduction sketches Patrick Hanks’s rich career and includes the very long list of his publications. The first part contains five papers, including one by the late John Sinclair (‘Defining the definiendum’), which is published in its unfinished state. Sinclair was writing it when he died unexpectedly in March 2007: he argues that the treatment of multi-word units of meaning should be extended and they should be given the same status as the usual headwords. Yorick Wilks (‘Very large lexical entries and the boundary between linguistic and knowledge structures’) discusses the incorporation of richer semantic structures into the Preference Semantics system. James Pustejovsky and Anna Rumshisky examine some of the mechanisms at work which relate distinct senses of a predicate in Reviews 367
Multi-Drug Resistance Mediated by Class 1 Integrons in Aeromonas Isolated from Farmed Freshwater Animals.

Aeromonas is regarded as an important pathogen of freshwater animals but little is known about the genetics of its antimicrobial resistance in Chinese aquaculture. The aim of this study was to investigate the presence of integrons and characterize multidrug resistant Aeromonas spp. isolated from diseased farmed freshwater animals. These animal samples included fish, ornamental fish, shrimp, turtles and amphibians which were collected from 64 farms in Guangdong province of South China. One hundred and twelve Aeromonas spp. isolates were examined for antimicrobial resistance phenotypes and the presence of class 1 integron sequences. Twenty-two (19.6%) of these isolates carried a class 1 integron comprising 6 different gene insertion cassettes including drfA12-orfF-aadA2, drfA12-orfF, aac(6’)-II-blaOXA-21-cat3, catB3, arr-3 and dfrA17. Among these, drfA12-orfF-aadA2 was the dominant gene cassette array (63.6%, 14/22) and this is the first report of aac(6’)-II-blaOXA-21-cat3 in an A. hydrophila isolate from a Chinese giant salamander (Andrias davidianus). All the integron-positive strains were resistant to more than 5 agents and 22 contained other resistance genes including blaCTX-M-3, blaTEM-1, aac(6’)-Ib-cr and tetA . All integron-positive isolates also contained mutations in the quinolone resistance determining regions (QRDR). Our investigation demonstrates that freshwater animals can serve as a reservoir for pathogenic Aeromonas strains containing multiple drug-resistance integrons. This data suggests that surveillance for antimicrobial resistance of animal origin and a prudent and responsible use of antimicrobials in aquaculture is necessary in these farms.
PRELIMINARY PHYTOCHEMICAL SCREENING, TOXICOLOGICAL AND ANTIVENIN PROPERTY OF THE STEM BARK OF NEOCARYA MACROPHYLLA ON NAJA

Neocarya macrophylla is a West African plant species often employed in ethnomedicine for the treatment of pain, inflammation, skin infections, asthma and snakebite. The stem-bark of the plant was pulverized and extracted with methanol by maceration. Preliminary phytochemical screening of the crude methanol extract revealed the presence of secondary metabolites including carbohydrates, alkaloids, flavonoids, anthraquinones, saponins, tannins, glycosides, steroids and triterpenes. Acute toxicity studies conducted in mice (i.p) using Lorke’s method gave an LD50 of 283 mg/kg, suggesting the plant to be relatively toxic. The antivenin effect of the crude methanol extract was tested against cobra (Naja nigricolis) venom using laboratory animals. Maximum protection was observed at an administered dose of 40 mg/kg with 100% survival, 83% at 20 mg/kg and relatively lower survival rate (67%) at a dose of 2 mg/kg and 0% at 5 mg/kg. The results suggest that the crude methanol extract of Neocarya macrophylla contains bioactive constituents with significant antivenom activity both invitro and invivo and lends credence to traditional use of the plant in the management of snakebite.
Improving the main contractor-subcontractor relationship through partnering on construction projects

The construction sector plays a significant role in the national economy through consolidating and enabling other sectors. Projects in the construction industry provide basic amenities and infrastructures that support social and economic development. Subcontracting is a major aspect of construction projects as it allows for specialisation, the sharing responsibilities and mitigation of project risks. However, instead of improving project success, subcontracting can act as a catalyst for poor project outcomes. Though there are many reasons that contribute to problems from subcontracting, a strained relationship between main contractors and subcontractors can be seen as a notorious contributor to poor project outcome. The study aimed at investigating the relationship between main contractors and subcontractors in Zambia and to provide a means to improve the relationship. To investigate the relationship, data collection techniques utilised included, literature review, questionnaire survey and interviews. The study established that the relationship between main contractors and subcontractors on most projects in Zambia is poor therefore needing attention. Top factors that can enhance the main contractor-subcontractor relationship were identified. From the factors deduced a non-contractual project partnering model was developed with the aim of improving this relationship
Diagnostic and therapeutic approach to cow’s milk protein allergy

1 Physician, MSc in Epidemiology, Professor at Fundación Universitaria San Martin and Universidad del Valle in Cali, Colombia 2 Pediatrician and Professor at Fundación Universitaria San Martin, Universidad Santiago de Cali, and Universidad Icesi in Cali, Colombia 3 Physician and Family Medicine Resident at Universidad del Valle in Cali, Colombia 4 Surgeon and Family Medicine Resident at Universidad del Valle in Cali, Colombia 5 Pediatrician at Mario Correa Rengifo Hospital, Professor at Universidad del Valle, Universidad Santiago de Cali, Fundación Universitaria San Martín, and Universidad Icesi, and Junior Researcher at Colciencias in Cali, Colombia
Child face recognition system with deep learning

Deep learning is one of the popular techniques in machine learning and it gives state-of-art performance on a wide variety of tasks such as natural language processing (NLP), face recognition and speech recognition. Convolutional Neural Networks (CNNs) is a top performer on face recognition. In this paper, the accuracy and performance of three Convolutional Neural Networks (CNNs) such as VGG Face based on two architectures (VGG16 and ResNet50),and MobileFaceNet on child face dataset is tested. The experiments results are shown and evaluated. According to experiments results, MobileFaceNet on child face dataset provide better accuracy than others. Among three proposed methods, the best recognition accuracy is 99.75% from MobileFaceNet.
Probing the limits of activity-silent non-conscious working memory

Significance Our work tackles a current debate regarding working memory (WM). Traditionally, this ability to maintain and manipulate information has been thought to require conscious processing and persistent neural activity. Recent evidence challenges this assumption: Information may be briefly stored without conscious awareness and sustained neural activity. Here, we reconcile these competing views. We recorded brain activity while adults remembered or mentally rotated subjectively visible or invisible stimuli. We showed that the mere short-term storage of information may proceed without consciousness or persistent neural activity. However, manipulating information in WM during rotation required both. Thus, non-conscious, activity-silent maintenance is a genuine phenomenon but should be termed “activity-silent short-term memory”; when using a memory, a reactivation, associated with conscious reportability, is necessary. Two types of working memory (WM) have recently been proposed: (i) active WM, relying on sustained neural firing, and (ii) activity-silent WM, for which firing returns to baseline, yet memories may be retained by short-term synaptic changes. Activity-silent WM in particular might also underlie the recently discovered phenomenon of non-conscious WM, which permits even subliminal stimuli to be stored for several seconds. However, whether both states support identical forms of information processing is unknown. Theory predicts that activity-silent states are confined to passive storage and cannot operate on stored information. To determine whether an explicit reactivation is required before the manipulation of information in WM, we evaluated whether participants could mentally rotate brief visual stimuli of variable subjective visibility. Behaviorally, even for unseen targets, subjects reported the rotated location above chance after several seconds. As predicted, however, at the time of mental rotation, such blindsight performance was accompanied by (i) neural signatures of consciousness in the form of a sustained desynchronization in alpha/beta frequency and (ii) a reactivation of the memorized information as indicated by decodable representations of participants’ guess and response. Our findings challenge the concept of genuine non-conscious “working” memory, argue that activity-silent states merely support passive short-term memory, and provide a cautionary note for purely behavioral studies of non-conscious information processing.
Study of Sensory and Storage Quality of the RTS Juice Enriched with Papaya Leaf Flavonoid

Fruits and vegetables are known as protective foods as they are rich source of essential vitamins, minerals, fibers and phytochemicals. Therefore, the present study aimed to develop the ready to serve fruit juice product with different formulations of papaya, carrot, mango fruits to increase the nutritional value of final product. The product was added with the papaya leaf flavonoids extracted by using ultrasonication pre-treatment. The effect of addition of the papaya leaf flavonoids was studied and compared on the physicochemical properties and mineral content of the RTS juice. The addition of papaya leaf flavonoids found beneficial for extending the shelf life of RTS juice. The microbial growth was observed in the samples without addition of papaya leaf flavonoids after 30days of storage; while samples with papaya leaf flavonoids did not show any microbial growth even after 45 days of storage. The sample with blending ratio 60:10:30 of papaya:carrot:mango fruits was accepted in the sensory evaluation. The physicochemical properties of the RTS juice like TSS, total sugars, titratable acidity, ascorbic acid and carotene content found decreasing with increase in the storage time. Finally, it was concluded that the addition of the papaya leaf flavonoids helps in the retention of the nutritional values of the final RTS fruit juice.
Body size estimation and weight management practices in urban poor communities in Ghana: A cross-sectional study

Introduction: Body size perception is a pertinent issue globally due to its implications for weight management. This study examined the influence of body size estimation on weight management behaviours in urban poor areas of Ghana. Methods: A cross-sectional design was used to collect data among a sample of 395 adults aged 18-70 years. A semi-structured questionnaire was designed for collection of data on socio-demographic characteristics, weight perceptions, and weight management strategies. Anthropometric measurements were also taken, using standard procedures. Logistic regression models were used to examine relationships among the variables. Results: More than half (57%) of the total sample was overweight or obese and 56.7% of the participants accurately estimated their body size. Nearly a third (37%) of the participants intended to stay about the same weight, while 29.6% and 11.9% wanted to lose or gain weight, respectively. To achieve their weight management goals, 60.3% of the participants engaged in healthy weight management practices. Body size estimation had no statistically significant relationship with weight management practices. However, the likelihood of engaging in healthy practices increased as age increased (OR = 1.021; 95% CI: 1.000 to 1.042). Individuals who belonged to households of upper wealth category were less likely than those in lower wealth households to engage in healthy practices (OR = 0.548; CI: 0.330 to 0.911). Community of residence, a community conducive to physical activity and social support also significantly predicted weight management practices. Conclusion: The findings of this study highlight the importance of age and some socio-environmental factors in public health strategies for weight management. Journal of Health and Social Sciences 2020; 5,4:559-572 The Italian Journal for Interdisciplinary Health and Social Development
Annual review of nano research

Nanoscale Biosensors and Biochips (W R Leifert et al.) Surface Modifications and Applications of Magnetic and Selective Nonmagnetic Nanoparticles (R Shen & H Yang) Progress in Bionanocomposite Materials (E Ruiz-Hitzky et al.) Mesoporous Silica Nanoparticles: Synthesis and Applications (J L Vivero-Escoto et al.) Nanostructured Mesoporous Materials as Drug Delivery Systems (I Izquierdo-Barba et al.) Chemical Synthesis, Self-Assembly and Applications of Magnetic Nanoparticles (S Peng et al.) Recent Development and Applications of Nanoimprint Technology (X Cheng & L J Guo) Three-Dimensional Nanostructure Fabrication by Focused-Ion-Beam Chemical-Vapor-Deposition (S Matsui) Dye-Sensitized Solar Cells Based on Nanostructured Zinc Oxide (Q Zhang & G Cao) Nanocomposites as High Efficiency Thermoelectric Materials (S J Thiagarajan et al.) Nanostructured Materials for Hydrogen Storage (S Sepehri & G Cao) Recent Advances in the Characterization of Mesoporous Materials by Physical Adsorption (M Thommes).
Fabrication of AlGaN/GaN Ω-shaped nanowire fin-shaped FETs by a top-down approach

An AlGaN/GaN-based Ω-shaped nanowire fin-shaped FET (FinFET) with a fin width of 50 nm was fabricated using tetramethylammonium hydroxide (TMAH)-based lateral wet etching. An atomic layer deposited (ALD) HfO2 side-wall layer served as the etching mask. ALD Al2O3 and TiN layers were used as the gate dielectric and gate metal, respectively. The Ω-shaped gate structure fully depletes the active fin body and almost completely separates the depleted fin from the underlying thick GaN buffer layer, resulting in superior device performance. The top-down processing proposed in this work provides a viable pathway towards gate-all-around devices for III–nitride semiconductors.
Bio-optical properties and radiative energy budgets in fed and starved scleractinian corals (Pocillopora damicornis) during thermal bleaching

Corals achieve outstanding photosynthetic quantum efficiencies approaching theoretical limits (i.e. 0.125 O2 photon-1) and it is unknown how such photosynthetic efficiency varies with environmental stress. In this study, we investigated the combined effects of thermal stress and active feeding on the radiative energy budget and photosynthetic efficiency of the symbiont-bearing coral Pocillopora damicornis by using fiber-optic and electrochemical microsensors in combination with variable chlorophyll fluorescence imaging. At normal temperature (25°C), the percentage of absorbed light energy used for photosynthesis was higher for fed (~5-6% under low light exposure) compared to unfed corals (4%). Corals from both feeding treatments responded equally to stress from high light exposure (2400 μmol photons m-2 s-1), exhibiting a decrease in photosynthetic energy efficiency down to 0.5-0.6%. Fed corals showed increased resilience against thermal bleaching compared to unfed corals, as fed corals were able to uphold their high photosynthetic energy efficiency for 5 days longer during thermal stress, as compared to unfed corals, which decreased their photosynthetic energy efficiency almost immediately when exposed to thermal stress. We conclude that active feeding is beneficial to corals by prolonging coral health and resilience during thermal stress as a result of an overall healthier symbiont population.
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations

Weightedmodel integration (WMI) is a framework to perform advanced probabilistic inference in hybrid domains, i.e., on distributions over mixed continuous-discrete random variables and in the presence of complex logical and arithmetic constraints. In this work, we advance theWMI framework on both the theoretical and algorithmic side. First, we trace the boundaries of tractability for WMI inference in terms of two key properties of a WMI problem’s dependency structure: sparsity and diameter. We prove that exact inference is only efficient if that structure is tree-shaped with logarithmic diameter. While this result deepens our theoretical understanding of WMI it hinders the practical applicability of exact WMI solvers to large problems. To overcome this, we propose the first approximate WMI solver that does not resort to sampling, but performs exact inference on an approximate model. Our solution iteratively performs message passing in a relaxed problem structure to recover lost dependencies. As our experiments show, it scales to problems that are out of the reach of exact WMI solvers while delivering accurate approximations.
SURFACE MODIFICATION OF POLYESTER FILM BY SILANE TREATMENT FOR INORGANIC LAYER ADHESION IMPROVEMENT

In this work, surface of polyester films was modified via chemical solution by using a silane coupling agent (3-Aminopropyl)trimethoxysilane (APTMOS) acting as an adhesion promoter. Indium Tin Oxide (ITO) has been deposited on AryLite substrate by sputtering procedure. Infrared spectroscopic analysis has been performed in order to study the reaction between amino group present on the organo-silane backbone and carboxylic group of polymeric substrate. Nano-scratch test of ITO layer of untreated AryLite exhibit critical load associated to surface fractures, delamination and blistering. This is a clear evidence of a poor adhesion at the interface between substrate and inorganic films. Critical load for ITO detachment from treated samples was not observed, as a consequence of a different failure mechanism, due to surface modification. The results showed that adhesion of ITO on AryLite has been improved by substrate silane surface treatment.
A Platform For Sentiment Analysis on Arabic Social Media

— A platform is built for applying sentiment analysis on social media in colloquial Arabic language. The applied classifications are based on machine-learning techniques using neural word embedding for feature extraction. The system was built and tuned for a case study addressing the extraction of opinions from different aspects toward ‘Products Made in Egypt’. Intrinsic and extrinsic evaluations of the embeddings showed that a colloquial corpus of the products domain yields a good performance. Further, we studied different embedding models and tuned their parameters for the different classifications in order to reach the best accuracy. For the different classifications, the F1-score is ranging from 74% to 93% with a precision ranging from 82% to 93%.
Developing Word to Phrase Alignment for Myanmar-English Machine Translation

Efficient estimation and alignment procedures for word and phrase alignment are developed for the alignment of parallel text, and this is shown in Myanmar-English translation. Word alignment based on the combination of corpus based approach and dictionary lookup approach. This word alignment process is based on the IBM model 1 to 3. For the dictionary lookup approach, the proposed system uses the bilingual Myanmar-English Dictionary. The system also uses a list of cognates and morphological analysis to get better alignment accuracy. After word alignment, phrase alignment is extended using PoS Pattern. Phrase alignment for machine translation is to improve quality in translation using PoS Filtering. Phrase alignment uses English Part-of-Speech (PoS).
Household Strategies for Coping with the Financial Costs of Health Care in Edo State, Nigeria

The cross-sectional survey design was used in the study to elicit data in Edo State, Nigeria to assess the strategies employed by households to cope with the financial costs of healthcare. Questionnaire data were collected from 508 household respondents in three randomly-selected Local Government Areas of the state including Esan-west, Etsako-west and Egor. Twelve Focus Group Discussions complemented survey data. The main strategies to cope with the financial costs of health care were mobilization of cash and savings (40.5%), and sale of produce and assets (16.0%). Level of income was a significant factors affecting the ability to mobilize cash and savings to cope with the financial costs of health care (X 2 = 31.787, 4df, p<0.05, critical value = 9.49). Diversion of money intended for food, education, and clothes to cope with the financial costs of health care was common, relatively, to respondents with low income level (X 2 = 13.050, 4df, p<0.05, critical value = 9.94). The findings of the study indicate that urban households have the ability to cope with the financial costs of health care, than rural households. It is therefore imperative that government should not only make healthcare facilities available but should also alleviate poverty in society to enable people defray the cost of healthcare with minimal effort.