Miracle-dz/UniFAR-FTUs huggingface dataset:
Distribution trends of European dragonflies under climate change

Poleward range shifts of species are among the most obvious effects of climate change on biodiversity. As a consequence of these range shifts, species communities are predicted to become increasingly composed of warm‐dwelling species, but this has only been studied for a limited number of taxa, mainly birds, butterflies and plants. As species groups may vary considerably in their adaptation to climate change, it is desirable to expand these studies to other groups, from different ecosystems. Freshwater macroinvertebrates, such as dragonflies (Odonata), have been ranked among the species groups with highest priority. In this paper, we investigate how the occurrence of dragonflies in Europe has changed in recent decades, and if these changes are in parallel with climate change.
6 A Practical Approach to Computational Models of the Blood-Brain Barrier

This article features a practical and critical approach to the development and use of computational blood-brain barrier models; the experimental blood-brain barrier models are also critically examined as the main source of dependant variable that exerts a strong influence on model accuracy and significance. While a very few simple chemical descriptors are generally sufficient to predict the passive diffusion pathway to the brain, we have focused on the inclusion of some other transport components, such as active transport to the brain, transcytosis, internalization and P-glycoprotein active efflux from the brain. These components are fundamental to modeling the behavior of a large panel of drugs, in particular that of complex drugs emerging from biotechnologies that are known to have low passive diffusion. List of Abbreviations: ADME, Absorption-Distribution-Metabolism-Excretion; AMT, Adsorptive-mediated transcytosis; BBB, Blood-brain barrier; BCSFB, Blood-cerebro-spinal fluid barrier; CNS, Central nervous System; CSF, Cerebro-spinal fluid; CVO, Circumventricular organs; HBA, Hydrogen-bond acceptor; HBD, Hydrogen-bond donor; M6G, Morphine-6-glucuronide; MDR, Multi drug resistance; MFI, Mean fluorescence intensity; MRP, Multidrug resistance protein; MV, Molecular volume; MW, Molecular weight; P-gp, P-glycoprotein; PLS, Partial least squares; PS, Permeability-surface product; PSA, Polar surface area; QSAR, Quantitative structure-activity relationships; RMT, Receptor-mediated transcytosis; RT, Retention time
Effects of concentrate supplementation on fatty acid composition and expression of lipogenic genes of meat and adipose tissues in grazing lambs

Abstract Effects of natural grazing (NG) or grazing with supplementary feeding (GS) of Hulunbeier lambs (HL) and Hulunbeier × Dorper crossbred lambs (HZ) on fatty acid (FA) profile and lipogenic gene expressions in the longissimus thoracis (LT) and subcutaneous adipose tissue (SAT) were determined. The study was conducted as a 2 × 2 factorial arrangement using four-month old lambs. Thirty animals were divided into each group. The FA composition and the expression of lipid metabolism gene of sheep were affected by the feeding regimens and animal breeds. Compared with NG, GS increases de novo FA synthesis of LT and SAT, which decreases GS lambs’ FA nutrition value. Meat or fat from NG lambs present more n-3 long-chain polyunsaturated FA that is beneficial to human health. Under the two feeding regimens, de novo synthesis of FA and fat deposition seems to higher in HZ lambs compared with those in HL as the expression of genes (SREBP1c, FAS, ACC, C/EBPα, PPARγ) that are associated with correlative metabolism was increased in HZ lambs. Meat from HZ lambs displays a less favourable level of saturated FA as containing higher content of C14:0, but it also presents higher profile of EPA than HL lambs. Highlights Feeding ways and breeds affect fatty acids and gene. Meat from grazing lambs is beneficial to human health. Supplementary feeding increases fat deposition.
Design of human resource information system for micro small and medium enterprises

The articles aim to analyze and design of human resource information system (HRIS) for micro small and medium enterprises in Indonesia. The problem some times occurred happen in human resource when the business starts to grow. To solve this start with analyzing and design in this HRIS system using RUP (Rational Unified Process) to handle a problem such as attendance, payroll, manage employee and other Human resource problem in the scope of small or medium business. The result is a design of HRIS that can be a start for a blueprint and can be implemented for micro small and medium enterprises with condition and regulation that fit in Indonesia and also will provide the results of a design document analyzing the business needs of the process and the design of the HRIS system using the RUP method.
Dissociable prelexical and lexical contributions to visual word recognition and priming: Evidence from MEG and behavior

Visual word recognition is facilitated by word knowledge (i.e., word familiarity) and predictive context, as reflected in faster reading times and reduced neuronal activation for highly familiar or predictable words. Previous studies could not dissociate whether knowledge- and context-based facilitation requires semantic knowledge or can also stem from prelexical sources of information. Here, we experimentally separate prelexical (i.e., orthographic/phonological) and semantic knowledge in two repetition priming experiments, to investigate their role for knowledge- and context-based facilitation. Experiment 1 investigates repetition suppression effects (i.e., reduced activation for predictable stimuli) in magnetoencephalographic brain responses of human participants (N=38) and Experiment 2 uses response times to investigate behavioral priming effects (N=24). To disentangle prelexical and semantic knowledge, we realized a pseudoword familiarization procedure in both experiments and contrasted familiarized pseudowords with novel pseudowords (unfamiliar, no semantic knowledge) and words (semantics available). In Experiment 2, one further set of pseudowords was additionally associated with semantic information (i.e., objects). We found, in both experiments, a general context effect for all letter strings, which was specifically enhanced when semantic information was available. A knowledge effect for pseudowords was found (familiarized vs. novel pseudowords) but prelexical (i.e., orthographic/phonological) knowledge alone did not enhance context effects. We conclude that knowledge- and context-based facilitation in visual word recognition can be achieved without semantic information processing, i.e., exclusively on the basis of prelexical perceptual knowledge. Semantic knowledge, however, drastically enhances context-based facilitation. Significance Statement The goal of reading is the extraction of meaning from script. This highly automatized process relies on facilitation based on word familiarity and text context. Here we use repetition priming to show that context-based facilitation is increased when semantic knowledge is present. This was demonstrated by enhanced context effects for letter strings with semantic associations. Still, earlier context effects (∼80 ms) and orthographic knowledge effects were found irrespective of semantic processing. Our findings highlight the stronger role of semantic knowledge for achieving facilitated visual word recognition in contrast to semantic-free knowledge. Our findings suggest predictive coding as a potential mechanism that underlies efficient visual word recognition.
Introducing adaptive vision-guided robotic non-destructive inspection

Ultrasonic based Non-destructive Testing (NDT) has seen wide applications in recent years. Achieving flexible automation for such testing method is a growing research area. In this regard, enabling automated vision-guided robotic ultrasonic toolpath based NDT inspection is desirable in the manufacturing and re-manufacturing industry. The complexity of this task is augmented by the varying nature of the parts in such industries. This paper introduces an approach developed for structure from motion (SfM) based vision-guided robotic NDT inspection. An automated vision system is developed and integrated into a robotic work-cell that can produce 3D models of challenging objects with sub-millimeter accuracy. These 3D models are then used to generate the toolpath for ultrasonic probe to carry out NDT inspection. We also discuss approaches to perform image acquisition allowing to capture the object view sphere and effects of these approaches on the results of SfM. We show from experimental results that the developed automated vision system can produce high accuracy 3D models of low texture, self-similar and glossy objects, without having to perform training of input data.
Enhanced particle flux control in a Tokamak with a resonant helical divertor

A series of experiments designed to demonstrate the efficacy of the Resonant Helical Divertor (RHD) concept in a tokamak have been completed. These proof-of-principle experiments utilized a small scoop limiter and a simple modular coil set to produce an m = 7, n = 2 RHD configuration for controlling the particle efflux and edge refueling rate in the Texas Experimental Tokamak (TEXT). The coils were designed to generate a quasi-ergodic edge layer using a few modes. Nevertheless at small perturbation levels intact islands are produced. The results clearly demonstrate greater flux control than had been expected for this simple RHD geometry. Conditions necessary for optimal particle collection are the scoop limiter at the o-point of a 7/2 magnetic island, a 4 kA current in the coils producing islands of approx.1. 0 cm full width, and helium discharges at high toroidal magnetic field (B/sub t/ = 2.8T). The neutral density within the scoop limiter head is increased by up to 500% and recycling on the front scoop face can be reduced as much as 80%. Under optimal collection conditions the central electron density is reduced by 20% indicating enhanced globall particle control. Experimental results and implications of cross-field particle diffusion are presented.more » A comparison of RHD efficiencies in hydrogen and helium discharges is discussed. « less
Novel COVID-19- the pandemic on planet Earth- A brief insight into Transmission, Diagnosis and Treatment- A Review

Pandemic diseases continue to emerge as per the World health Organisation reports and there had been a continuous combat against the same for past years worldwide. These diseases might include viral or bacterial or other deadly pathogens. The current and trending outbreak which spreads equally among all countries which is becoming fatal is the novel Corona virus or COVID-19. The infection started its journey right from wuhan city, China and now has no borders to cross up to date. The symptoms are direct or indirect and various from individual. One such serious stage is “Severe Acute Respiratory disorder” a syndrome or disorder caused by our own immune system when fighting against an infection. Another fatal symptom is the Severe Acute Respiratory disorder. It is condition where our own immune systems overworks against a particular pathogenic infection and the chemical released by the same causes inflammation or damage to our own cells or tissues. Among the various causes of sepsis or tissue damage and fatal sepsis, pneumonia, viral pneumonia like COVID- 19 is more critical to go for treatment. However sepsis is not contagious, it could cause serious damage to the person through blood stream from the source of infection.
THE EFFECTIVENESS OF COLLABORATIVE STRATEGIC READING (CSR) IN TEACHING CRITICAL READING TO EFL STUDENTS

Critical reading is a hot issue nowadays. Students in all levels, especially in tertiary education are pursuing the need of critical reading especially in English reading test. However, it is not an easy job for the students when they are asked to complete the reading task focusing on critical reading. Many students get confused, trapped in the distractor or even get frustrated when they cannot answer the questions. Collaborative strategic reading is one of the strategy in teaching reading which is hypothesized to be able to help the students in answering questions in critical reading tests. This research used quasi-experimental design with quantitative approach. To collect the data, the researcher used research instrument in form of test. The result of the study revealed that the significant value is 0.000 which was smaller than the significant level (0.050). It could be concluded that using collaborative strategic reading (CSR) strategy was effective to increase the students’ critical reading achievement at English education department at IAIN Tulungagung. It is suggested that collaborative strategic reading (CSR) strategy can be used as alternative strategy for English teachers in teaching and learning critical reading text.
Microphone array processing for augmented listening

Modern augmented listening technologies, such as hearing aids, smart headphones, and audio augmented reality platforms, perform poorly in noisy environments with many competing sound sources. This work explores the bene ts of large microphone arrays, including novel wearable devices and distributed sensor networks, for augmented listening systems. Perceptually transparent space-time remixing lters can apply separate processing to each sound source to modify the auditory scene perceived by a listener. The design parameters and performance tradeo s of such lters are described, with particular emphasis on the ways in which the augmented listening applications di er from machine listening and telecommunication applications. Theoretical tools are developed for interaural cue preservation, delay-constrained array processing, and dynamic range compression of multiple sources. Several implementation issues are considered, including acoustic channel estimation, the design of wearable microphone arrays, the acoustic e ects of the body, and models and algorithms for deformable microphone arrays. Finally, the performance of the listening system is improved by cooperative processing among many distributed devices. The proposed system would dramatically improve the performance of listening devices in noisy environments and enable new listening applications that are impossible with current technology.
The North Sea fish community: past, present and future : background document for the 2011 National Nature Outlook

Long-term changes in the North Sea fish community have been demonstrated both as trends in individual species, particular those subject to fishing pressure, as well as in the community as a whole. Trends in diversity, size structure, trophic level and size at maturation have been related to fishing pressure, whilst trends in diversity can also be driven by an increase in water temperature due to climate change. Areas of high diversity often relate to areas where rare species are found (coastal and northern North Sea). Vulnerable species appear mainly along the coast of the UK. The physical environment is a natural driver of the distribution and migrations of fish species, but human impacts through fishing, climate change, offshore construction and shipping can change the natural patterns through direct and indirect effects, making it difficult to predict future changes through multiple interacting impacts.
Block HSIC Lasso: model-free biomarker detection for ultra-high dimensional data

Motivation Finding nonlinear relationships between biomolecules and a biological outcome is computationally expensive and statistically challenging. Existing methods have crucial drawbacks, among others lack of parsimony, non-convexity, and computational overhead. Here we present the block HSIC Lasso, a nonlinear feature selector that does not present the previous drawbacks. Results We compare the block HSIC Lasso to other state-of-the-art feature selection techniques in synthetic data and real data, including experiments over three common types of genomic data: gene-expression microarrays, single-cell RNA-seq, and GWAS. In all the cases, we observe that features selected by block HSIC Lasso retain more information about the underlying biology than features of other techniques. As a proof of concept, we applied the block HSIC Lasso to a single-cell RNA-seq experiment on mouse hippocampus. We discovered that many genes linked in the past to brain development and function are involved in the biological differences between the types of neurons. Availability Block HSIC Lasso is implemented in the Python 2/3 package pyHSICLasso, available in Github (https://github.com/riken-aip/pyHSICLasso) and PyPi (https://pypi.org/project/pyHSICLasso). Contact myamada@i.kyoto-u.ac. jp Supplementary information Supplementary data are available at Bioinformatics online.
A comprehensive study on binary optimizer and its applicability

Binarized Neural Networks are paving a way towards the deployment of deep neural networks with less memory and computation. In this report, we present a detailed study on the paper titled "Latent Weights Do Not Exist: Rethink-ing Binarized Neural Network Optimization" by Helwegen et al. [2019] which proposes a new optimization method for training BNN called BOP. We ﬁrst investigate the effect of using latent weights in BNN for analyzing prediction performance in terms of accuracy. Next, a comprehensive ablation study on hyperparameters is provided. Finally, we explore the usability of BNN in de-noising autoencoders. Code for all our experiments are available at https: /
Sequence variation of captive Malayan Gaur (Bos gaurus hubbacki) based on mitochondrial D-loop region DNA sequences

Md-Zain BM, Abdul-Aziz A, Aifat NR, Mohd-Yusof NS, Norsyamimi R, Rovie-Ryan JJ, Karuppannan KV, Zulkifli NA, Yaakop S. 2018. Sequence variation of captive Malayan Gaur (Bos gaurus hubbacki) based on mitochondrial D-loop region DNA sequences. Biodiversitas 19: 1601-1606. Malayan gaur (Bos gaurus hubbacki) can only be found in Peninsular Malaysia and southern Thailand. The International Union for Conservation of Nature (IUCN) has listed Malayan gaur in the Red List as vulnerable. The main objective of this study was to investigate sequence variation in the mitochondrial D-loop region of B. g. hubbacki from two captive centers. We collected 30 DNA samples of Malayan gaur from Jenderak Selatan Wildlife Conservation Center in Pahang and the Sungkai Wildlife Reserve in Perak. Polymerase chain reactions were performed to amplify all the samples. DNA sequences were analyzed using Neighbor-Joining (NJ) and Maximum Parsimony (MP) methods. Based on the 652 base pairs obtained, we found only seven variable characters with a value of 1% and a genetic distance between the two captive centers of 0.001. Haplotype analyses using DnaSP software detected only four haplotypes between these two captive centers. Both NJ and MP trees portrayed all Malayan gaur individuals in Jenderak Selatan and Sungkai captive centers as belonging to the same clade. Genetic variation of Malayan gaur in these centers is considered low due to individuals possibly sharing the same common parent. This sequence variation information is of paramount importance for the proper breeding and conservation management program of Malayan gaur in the future.
Natural Regeneration of the Mangrove Vegetation on Abandoned Salt Ponds in Ceará, in the Semi-Arid Region of Northeastern Brazil

The development of the mangrove in Ceará state, northeastern Brazil, is limited by local environmental and climatic factors, associated with the variables that determine the region’s semi-arid climatic conditions. The same conditions also contribute to the installation of artisanal saltworks in estuarine environments. The artisanal production of salt peaked in the 20th century, but with the decline of this activity, the salt evaporation ponds were abandoned, and have been incorporated back into the natural marine-estuarine environment and colonized by mangrove forests. In the early 2000s, however, the expansion of shrimp farming operations impacted this same environment. The present study was based on a spatiotemporal analysis of the natural regeneration of the mangrove vegetation in abandoned salt pond areas in the Brazilian semi-arid region between 1968 and 2009. The integrated analysis of mangrove ecosystem dynamics and the legislation that regulates the licensing of these economic activities identified a number of technical problems in the formulation and execution of the COEMA resolution 02/2002, which permits the installation of shrimp farms in areas dominated by the mangrove. The findings of the present study reinforce the need for a careful reformulation of the Ceará state environmental legislation, in order to guarantee the maximum possible conservation of the coastal zone.
Exercícios de raciocínio em três linguagens: ensino de física nas séries iniciais

Com o objetivo de estudarmos a adequacao de historias infantis como instrumento de ensino de Fisica para criancas, elaboramos uma atividade que foi desenvolvida em uma turma do segundo ano do ensino fundamental de uma escola publica da cidade de Sao Paulo. Apos a leitura da historia, os alunos receberam um exercicio de raciocinio para discutirem em pequenos grupos sem qualquer estimulo a experimentacao. Depois desta etapa as criancas foram convidadas a discutirem suas ideias e/ou conclusoes com toda a turma, numa grande roda. Para em seguida relatarem suas experiencias, de maneira individual, atraves de um desenho e/ou pequena redacao . Neste trabalho apresentamos a analise de suas falas durante a discussao da grande roda e a analise de seus relatos.
Etude des interactions matière organique dissoute : contaminants organiques dans l'environnement aquatique

Suite a une anthropisation generalisee des ressources aquatiques et des ecosystemes associes, on retrouve de nombreux contaminants chimiques organiques a l’etat de traces dans l’environnement aquatique. En parallele de ces contaminants, dans les milieux aquatiques on retrouve egalement des molecules rassemblees sous la denomination « matiere organique dissoute (MOD) », qui sont des melanges complexes de molecules et macromolecules, qui peuvent s’associer a ces contaminants et influencer leur comportement et leur distribution. Les interactions entre MOD et contaminants peuvent s’averer difficiles a etudier etant donne qu’elles sont dependantes de nombreux facteurs tels que la nature des contaminants et de la MOD, ainsi que des parametres physico-chimiques du milieu. L’objectif de ces travaux etait donc d’etudier ces interactions. Les contaminants organiques choisis ont ete les Hydrocarbures Aromatiques Polycycliques (HAP) et les substances pharmaceutiques. D’autre part, plusieurs types de MOD d’origine naturelle ou commerciale ont ete utilises. Pour etudier les interactions, plusieurs techniques analytiques ont ete developpees dont la micro-extraction sur phase solide couplee a la chromatographie en phase gazeuse et a la spectrometrie de masse et l’extinction de fluorescence.