Miracle-dz/UniFAR-FTUs huggingface dataset:
GENETIC DIVERSITY ASSESSMENT OF SOME STORED INSECT SPECIES IN IRAQ BASED ON RAPD MOLECULAR MARKER

Genotyping of four insect species was carried out using RAPD marker. The genetic variability among the four insect species was estimated using RAPD primers. All primers generated reproducible and easily storable RAPD profiles with some amplified DNA fragments ranging from 9 to 13. The total number of amplicons detected was 56, including unique bands, reached seven, Number of polymorphism was 49 and this represents a level of polymorphism of 87.04% and an average number of 6.8 polymorphic bands per primer. Maximum numbers of amplicons were amplified by primer U-17 reached 13 while the minimum number of fragments was amplified with primers OPE K-02 reached nine. The highest number of polymorphic bands reached 12 were obtained with primer U-17, while the highest number of monomorphic bands reached two was obtained with primer OPE K-02, and M-32 with percentage reached 22.22% and 16.664, respectively. RAPD markers detected genetic similarity and distance, a maximum genetic distance value was observed between T. granarium(1) and C. maculatus(4) and S. oryzae(2) and C. maculatus(4) species reached 0.547 with less similarity value reached 46%, a minimum genetic distance value was 0.435, which observed between S. oryzae (2) and T. castaneum (3) with high similarity value reached 57%. The similarity matrices were employed in the cluster analysis to generate a dendrogram using the UPGMA method. The cluster tree analysis showed that the insect species were broadly divided into two main groups A and B with genetic similarity reached 30%. A group including T. granarium (1) B group was divided into two sub-cluster B1, and B2 with genetic similarity reached 36%. The first sub-cluster (B1) including only C. maculatus (4) while the second sub-cluster (B2) included two species S. oryzae (2) and T. castaneum (3) with the high genetic similarity between them reached 48%.
Decision Procedures for Separation Logic Modulo Theories of Data

Separation Logic (SL) [12] is a logical framework for describing dynamically allocated mutable data structures generated by programs that use pointers and low-level memory allocation primitives. The logics in this framework are used by a number of academic (SPACE INVADER [2], SLEEK [9]), and industrial (INFER [3]) tools for program verification. The main reason for choosing to work within the SL framework is that it allows to write compositional proofs of programs, based on the principle of local reasoning:
TECTONOMETAMORPHIC EVOLUTION OF THE AUSTROALPINE NAPPES IN THE NORTHERN ZILLERTAL AREA (TYROL, EASTERN ALPS)

This investigation addresses the tectonic evolution of the Austroalpine nappes north of the Tauern Window in the northern Zillertal (Tyrol). The investigated units are the Kellerjochgneiss (Schwaz Augengneiss), the Innsbruck Quartzphyllites and the Wildschönau Schists. Six stages of deformation are distinguished. The first stage (D1) is present as a relic foliation, observed only in thin sections. In the Innsbruck Quartzphyllite the first deformation stage is represented by isoclinal folds. The dominant foliation is represented in the second stage (D2), which is the result of a NW-SE-oriented compression. This main ductile deformation event also is expressed by the formation of isoclinal folds. Associated shear bands indicate W-NW-directed transport and thus D2 is related to the Cretaceous nappe stacking. The third ductile deformation stage (D3) leads to the formation of open folds most likely associated with the NE-SW contraction. The fourth stage (D4) is also characterized by open folds and an axial plane foliation, reflecting subsequent NNW-SSE compression. The last ductile stage (D5) produced semi-ductile kink bands, which crosscut the earlier deformation structures. The subsequent brittle deformation (D6) can be divided into four stages (D6a-d). This structural succession can be interpreted in terms of the existing geochronological framework for this area, suggesting that nappe stacking of the Innsbruck Quartzphyllites, the Kellerjochgneiss and the Wildschönau Schists took place during the Late Cretaceous under middleto upper greenschist-facies conditions, related to the closure of the Hallstatt-Meliata Ocean. Institute of Mineralogy and Petrography, Faculty of Geoand Atmospheric Sciences, University of Innsbruck, Innrain 52f, A-6020 Innsbruck, Austria
High resolution melting real-time PCR detect and identify filarial parasites in domestic cats

Objective: To detect and identify filarial parasites in dried blood spots (DBS) collected from domestic cats using high resolution melting real-time PCR (HRM RT-PCR). Methods: A total of 208 DBS were collected from domestic cats in a brugian filariasis endemic areas in Surat Thani Province, southern Thailand. Microfilariae were found in 9 blood slides using Giemsa-stained thick blood film. The extracted DNA from blood spot volumes of 10 and 20 μL DBS with positive filarial parasites in cats were performed using HRM RT-PCR method. The primers were designed based on the partial mitochondrial 12S rRNA gene for identifying Brugia malayi, Brugia pahangi, Dirofilaria immitis. All purified samples were then detected. Results: Using different volumes of 10 μL and 20 μL DBS could easily distinguish filarial parasites and showed similar results. PCR amplicons of Brugia malayi, Brugia pahangi and Dirofilaria immitis were determined at melting peak (temperature) of 75.70 77.46 and 73.56 respectively. All 9 positive DBS samples showed positive Brugia pahangi and similar nucleotide sequences. Conclusions: This HRM RT-PCR method is able to diagnose, identify and discriminate filarial parasites collected from DBS, which is simple and inexpensive compared with other probe-based genotyping methods. Furthermore, this method is useful to survey, prevent and control filariasis.
FATIGUE DAMAGE IN NOTCHED GFR COMPOSITES WITH THERMAL AND DIGITAL IMAGE MEASUREMENTS

Complex time dependent damage phenomena are characteristic of Composites under fatigue; this is due to material structural heterogeneity and fibre/matrix interactions. Fatigue life is mainly determined by the progressive damage evolution, difficult to be modeled with numerical tools or mathematical frames. Experimental methods are to be applied to achieve correct information about the evolving fatigue damage and the authors propose a methodology based on Digital and Thermal Image analyses, to measure on notched GFRC specimens the dissipative sources in terms of temperature and deformation based data; starting from previous works, the measurements procedures were improved for these techniques, in order to obtain useful results with notched composites and capable to detect different damage states on specimen surface.
Safety and Efficacy of an Innovative Airway Clearance Device Versus Manual Chest Physiotherapy Techniques For Airway Secretion Clear- ance: a Feasibility Study

Philippe Giovannetti1, Laurent Morin2*, Martine Reynaud-Gaubert1 1. Service de Pneumologie, Centre de Ressource et de Compétence de la Mucoviscidose (CRCM) adulte, Centre de Compétence national des Hypertensions Pulmonaires (HTAP) et des Maladies Pulmonaires Rares, APHM-CHU Hôpital Nord, Marseille, France 2. Physio-Assist, Aix-en-Provence, France *Corresponding author: Dr Laurent MORIN, Physio-Assist, 31 Parc du Golf, CS 90519, 13593 Aix-en-Provence, France. Received: September 02, 2020; Accepted: September 12, 2020; Published: September 29, 2020
Factors Affecting the Anxiety Level and Quality of Life of Parents of Children with Hydrocephalus

Aim: The aim of this descriptive study was to determine the factors affecting the level of anxiety and qua lity of life for parents of children aged 0 to 18 years wit h hydrocephalus. Methods: The study sample consisted of parents of children with hydrocephalus. Data were collected using a 27-item demographic data form, the State ‐Trait Anxiety Inventory (STAI), and the Short Form 36‐Item (SF‐36). Result: Mothers constituted most of the parents who partici pated in the study. Of these mothers, 31.4% were between 26 and 33 years of age, 47.1% had an elemen tary school or high school degree, and 45.7% were employed. Children’s gender, age, birth type, birth order, number of operations, duration of hospital s y, type of diagnosis, and type of operation had no significant effect on parents' mean state and trait anxiety sc ore . The results showed that mother’s employment status had no statistically significant effect on parents' mea n state anxiety scores but had a statistically significant effect on their mean trait anxiety scores. This stu dy shows that parents' quality of life scores were significantly lower than those of the overall Turkish population. Conclusion: Parent anxiety was affected by low income, lack of health insurance, and providing home care for more than one person. Parent quality of life was af fected by number of siblings, birth order, time of diagnosis, number of operations, duration of hospital stay, fa ther’s age, parents’ educational level, mother's em ployment status, family type, family income, place of reside nc , and health insurance.
A Uniﬁed Approach to Scheduling and Resource Analysis for the Galileo Mission

Scheduling and Resource Analysis have been typically seen as different tasks under different disciplines as Operations Research and Artiﬁcial Intelligence. Only very recently some efforts have been done to try to unify them in the broadest sense. However, for some problems (as the one introduced herein) it is feasible to tackle with both problems in a consistent and efﬁcient manner even if it is related to the complex case of time resource-constrained multiple projects management problem.
Quantitative NMR spectroscopy in the quality evaluation of active pharmaceutical ingredients and excipients

Quantitative (q) methods in nuclear magnetic resonance (NMR) spectroscopy have been used successfully for many years. However, there is a lack of general acceptance of qNMR in the pharmaceutical industry, whereas chromatographic methods are well established and documented in analytical standards, pharmacopoeia and drug master files. However, NMR spectroscopy can be considered as a quantitative primary ratio method of measurement, since the ratio of substances in a mixture can be determined directly from the NMR spectral measurement without referencing to another substance. The absolute amount of substances can be determined by using simple reference substances. The purpose of this short review article is to highlight some capabilities of qNMR spectroscopic methods in drug quality evaluation, indicating that qNMR spectroscopy should be more often applied when chromatographic methods are not working effectively. NMR spectroscopy can be used in different fields of the quality evaluation of drugs: to identify a drug to determine the level of impurities and elucidate their structure, and to ■
ESOPHAGUS CANCER GEOGRAPHICAL DISTRIBUTION, INCIDENCE, MORTALITY AND THEIR WORLD HUMAN DEVELOPMENT INDEX (HDI) RELATIONSHIP: AN ECOLOGY STUDY IN 2018

Esophageal cancer is the eighth most common cancer worldwide, with approximately 456000 new cases and 400000 deaths in 2012. Almost 80% of all esophageal cancers have occurred in less developed areas1. The main features of this cancer are low survival and rapid disease progression. The highest esophageal cancer rates in the world occurred in China, northeastern Iran, southeastern United States and South Africa. The Asian belt of cancer begins in eastern Turkey and northeastern Iran, and continues to reach eastern Asia countries, including the north and center of China. The cancer incidence
Quantification of occupational and community risk factors for SARS-CoV-2 seropositivity among healthcare workers in a large U.S. healthcare system

Background: Quantifying occupational risk factors for SARS-CoV-2 infection among healthcare workers can inform efforts to improve healthcare worker and patient safety and reduce transmission. This study aimed to quantify demographic, occupational, and community risk factors for SARS-CoV-2 seropositivity among healthcare workers in a large metropolitan healthcare system. Methods: We analyzed data from a cross-sectional survey conducted from April through June of 2020 linking risk factors for occupational and community exposure to COVID-19 with SARS-CoV-2 seropositivity. A multivariable logistic regression model was fit to quantify risk factors for infection. Participants were employees and medical staff members who elected to participate in SARS-CoV-2 serology testing offered to all healthcare workers as part of a quality initiative, and who completed a survey on exposure to COVID-19 and use of personal protective equipment. Exposures of interest included known demographic risk factors for COVID-19, residential zip code incidence of COVID-19, occupational exposure to PCR test-positive healthcare workers or patients, and use of personal protective equipment. The primary outcome of interest was SARS-CoV-2 seropositivity. Results: SARS-CoV-2 seropositivity was estimated to be 5.7% (95% CI: 5.2%-6.1%) among 10,275 healthcare workers. Community contact with a person known or suspected to have COVID-19 (aOR=1.9, 95% CI:1.4-2.5) and zip code level COVID-19 incidence (aOR: 1.4, 95% CI: 1.0-2.0) increased the odds of infection. Black individuals were at high risk (aOR=2.0, 95% CI:1.6-2.4). Overall, occupational risk factors accounted for 27% (95% CI: 25%-30%) of the risk among healthcare workers and included contact with a PCR test-positive healthcare worker (aOR=1.2, 95% CI:1.0-1.6). Conclusions: Community risk factors, including contact with a COVID-19 positive individual and residential COVID-19 incidence, are more strongly associated with SARS-CoV-2 seropositivity among healthcare workers than exposure in the workplace.
The challenges of caring for people dying from COVID-19: a multinational,observational study of palliative and hospice services (CovPall)

Background: Systematic data on the care of people dying with COVID-19 are scarce. We studied the response of and challenges for palliative care services during the COVID-19 pandemic. Methods: We surveyed palliative care and hospice services, contacted via relevant organisations. Multivariable logistic regression identified associations with key challenges. Content analysis explored free text. Findings: 458 services responded; 277 UK, 85 rest of Europe, 95 rest of the world (1 country unreported); 81% cared for patients with suspected or confirmed COVID-19, 77% had staff with suspected or confirmed COVID-19; 48% reported shortages of Personal Protective Equipment (PPE), 40% staff shortages, 24% medicines shortages, 14% shortages of other equipment. Services provided direct care and education in symptom management and communication; 91% changed how they worked. Care often shifted to increased community and hospital care, with fewer admissions to inpatient palliative care units. Factors associated with increased odds of PPE shortages were: charity rather than public management (OR 3.07, 95% CI 1.81-5.20),inpatient palliative care unit rather than other setting (OR 2.34, 95% CI 1.46-3.75). Being outside the UK was associated with lower odds of staff shortages (OR 0.44, 95% CI 0.26-0.76). Staff described increased workload, concerns for their colleagues who were ill, whilst expending time struggling to get essential equipment and medicines, perceiving they were not a front-line service. Interpretation: Across all settings palliative care services were often overwhelmed, yet felt ignored in the COVID-19 response. Palliative care needs better integration with health care systems when planning and responding to future epidemics/pandemics. Funding: MRC grant number MR/V012908/1, Cicely Saunders International and NIHR ARC South London.
Named Entity Recognition for Distant Reading in ELTeC

The “Distant Reading for European Literary History” COST Action, which started in 2017, has among its main objectives the creation of an open source, multilingual European Literary Text Collection (ELTeC). In this paper we present the work carried out to manually annotate a selection of the ELTeC collection for Named Entities, as well as to evaluate existing NER tools as to their capacity to reproduce such annotation. In the ﬁnal paragraph, points of contact between this initiative and CLARIN are discussed.
Vowel reduction and deletion in Apulian and Lucanian dialects with reference to speech rhythm

Researchers in prosody tend to attribute the perception of speech rhythm to alternations between weak and strong syllables. However, acoustic correlates of prominence play a role in listener evaluations (for the Italo-Romance area see Russo 2010, Mairano 2011). Depending on speech rate and listener expectations, local variations in duration, intensity, and pitch can induce different perceptions. This being the case, the unstressed vowel reduction which characterises some of the varieties of southern Italy can be key, as different results may emerge depending on the chosen model and labelling accuracy for deleted or reduced vowels (Schmid 2004, White et al. 2009, Mairano & Romano 2007a-b, Romano et al. 2011, Marotta 2016). This article presents the results of measurements on four dialects from this area. They are analysed within the control/compensation model (Bertinetto & Bertini 2010) as this method softens the effect of the inclusion of a greater number of consonants in consonant intervals resulting from the loss of vowels. In keeping with perception judgements, this model performs well since it succeeds in placing speech samples with deletion into the stress-based area, more so than those varieties with only strong reduction.
Spin precession as a new window into disformal scalar fields

We launch a first investigation into how a light scalar field coupled both conformally and disformally to matter influences the evolution of spinning point-like bodies. Working directly at the level of the equations of motion, we derive novel spin-orbit and spin-spin effects accurate to leading order in a nonrelativistic and weak-field expansion. Crucially, unlike the spin-independent effects induced by the disformal coupling, which have been shown to vanish in circular binaries due to rotational symmetry, the spin-dependent effects we study here persist even in the limit of zero eccentricity, and so provide a new and qualitatively distinct way of probing these kinds of interactions. To illustrate their potential, we confront our predictions with spin-precession measurements from the Gravity Probe B experiment and find that the resulting constraint improves upon existing bounds from perihelion precession by over 5 orders of magnitude. Our results therefore establish spin effects as a promising window into the disformally coupled dark sector.
Application of Kalker Theory of Rolling Contact for Dynamic Simulation of Mobile Robots

This paper presents a derivation of a dynamic simulation of a steerable-wheel mobile robot with wheel slip. The robot is controlled using pure pursuit algorithm. Kalker simplified and linear theory of rolling contact are utilized to describe friction-creepage relationship between the robot wheel and the ground. Two simulations were created based on the two friction models. Simulation results of the two models are presented and compared.
Pushing the Envelope of Rotation Averaging for Visual SLAM

As an essential part of structure from motion (SfM) and Simultaneous Localization and Mapping (SLAM) systems, motion averaging has been extensively studied in the past years and continues to attract surging research attention. While canonical approaches such as bundle adjustment are predominantly inherited in most of state-of-the-art SLAM systems to estimate and update the trajectory in the robot navigation, the practical implementation of bundle adjustment in SLAM systems is intrinsically limited by the high computational complexity, unreliable convergence and strict requirements of ideal initializations. In this paper, we lift these limitations and propose a novel optimization backbone for visual SLAM systems, where we leverage rotation averaging to improve the accuracy, efficiency and robustness of conventional monocular SLAM pipelines. In our approach, we first decouple the rotational and translational parameters in the camera rigid body transformation and convert the high-dimensional non-convex nonlinear problem into tractable linear subproblems in lower dimensions, and show that the subproblems can be solved independently with proper constraints. We apply the scale parameter with $l_1$-norm in the pose-graph optimization to address the rotation averaging robustness against outliers. We further validate the global optimality of our proposed approach, revisit and address the initialization schemes, pure rotational scene handling and outlier treatments. We demonstrate that our approach can exhibit up to 10x faster speed with comparable accuracy against the state of the art on public benchmarks.
Joint Location and Power Optimization for THz-enabled UAV Communications

In this paper, the problem of unmanned aerial vehicle (UAV) deployment and power allocation is investigated for a UAV-assisted wireless system operating at terahertz (THz) frequencies. In the studied model, one UAV can service ground users using the THz frequency band. However, the highly uncertain THz channel will introduce new challenges to the UAV location and user power allocation optimization problems. Therefore, it is necessary to design a novel framework to deploy UAVs in the THz wireless systems. This problem is formally posed as an optimization problem whose goal is to minimize the sum uplink and downlink transmission delays between the UAV and the ground users by jointly optimizing the deployment of the UAV and the transmit power of the users. To tackle this nonconvex delay minimization problem, an alternating algorithm is proposed while iteratively solving two subproblems: location optimization subproblem and power control subproblem. Simulation results show that the proposed algorithm can reduce the transmission delay by up to $67.3\%$ and $52.5\%$ respectively compared to baseline algorithms that fix transmit power control or UAV location.
Multi-Task Learning for Calorie Prediction on a Novel Large-Scale Recipe Dataset Enriched with Nutritional Information

A rapidly growing amount of content posted online, such as food recipes, opens doors to new exciting applications at the intersection of vision and language. In this work, we aim to estimate the calorie amount of a meal directly from an image by learning from recipes people have published on the Internet, thus skipping time-consuming manual data annotation. Since there are few large-scale publicly available datasets captured in unconstrained environments, we propose the pic2kcal benchmark comprising 308 000 images from over 70 000 recipes including photographs, ingredients, and instructions. To obtain nutritional information of the ingredients and automatically determine the ground-truth calorie value, we match the items in the recipes with structured information from a food item database. We evaluate various neural networks for regression of the calorie quantity and extend them with the multi-task paradigm. Our learning procedure combines the calorie estimation with prediction of proteins, carbohydrates, and fat amounts as well as a multi-label ingredient classification. Our experiments demonstrate clear benefits of multi-task learning for calorie estimation, surpassing the single-task calorie regression by 9.9%. To encourage further research on this task, we make the code for generating the dataset and the models publicly available.