Miracle-dz/UniFAR-FTUs huggingface dataset:
Monochamus Saltuarius Endangers Pinus tabuliformis Carr. and Carries Bursaphelenchus xylophilus (Steiner and Buhrer) in China

The pinewood nematode (Bursaphelenchus xylophilus) can cause fatal damage to trees and is transmitted by the vector species of the Monochamus genus. In December 2017, pinewood nematodes were found to be harming a large plot of pine trees, Pinus tabuliformis, in a new region with an average annual temperature of 6.7 °C in China. However, the vector insects were unknown and urgently needed to be identified. Hence, in April 2018, we collected wood sections of P. tabuliformis trees that had died from pine wilt disease. All 127 longhorn beetles that emerged from the P. tabuliformis samples were identified as Monochamus saltuarius, and the nematodes they carried were fourth-stage dispersal juveniles of the pinewood nematode. The carrier rate of pinewood nematodes in the M. saltuarius population was 58.3%, and the average carrying capacity was 642.4 ± 89.3. In the same P. tabuliformis plot, 742 M. saltuarius beetles were collected from hormone traps. Our results revealed that M. saltuarius can damage P. tabuliformis and is a new vector species of the pinewood nematode in China. These findings can inform the prevention and control of pinewood nematode damage to pine forests.
Indicators for maintenance planning based on energy efficiency in heat exchanger networks

Thanks to the asset management regulations, modern maintenance practices are rapidly getting a more managerial role, and is used to achieve savings and optimize energy use. Therefore, knowing at all times the status of the equipment allows for timely and necessary interventions that generate value to the company, and recover the initial conditions of them. Heat exchanger networks, rather than a productive asset, constitute an energy-saving strategy, to have lower fuel costs, emission control, rational use of energy, etc. in the atmospheric furnaces of the crude distillation units, and other units that perform similar processes. Thus, keeping them in their best conditions, most of the time is necessary. In this paper, we propose a methodology for the diagnosis of the equipment of the network, and the maintenance planning justified by the energy efficiency of them and the economic impact of the intervention. In addition, an indicator is presented to provide an economic justification for maintenance interventions, as well as for briefly showing the results of the application of maintenance mainly on efficiency and the use of the KPI J proposed for programming the maintenance schedule of some of the equipment (pilot test) of the heat exchanger network under study. The methodology developed uses real operation values, and its results provided savings up to USD 150,000.
Ocotea pulchellaas an alternative against schistosomiasis: chemical analysis, development of nanoemulsion and biological control activity

: The aim of this work was to evaluate the potential of the essential oil (EO) from Ocotea pulchella leaves as an alternative in the control of schistosomiasis. It was tested O. pulchella EO nanoformulation to assess its activity against adult Biomphalaria glabrata , their spawning and Schistossoma mansoni cercariae. Additionally, the EO chemical composition was investigated by gas-chromatography. Nanoemulsion were elaborated by the low energy method. The adult mollusks, their spawning and cercariae were placed in contact with nanoemulsion to calculate lethal concentrations. Myristicin, bicyclogermacrene and α-Pinene were the main substances in the EO. Nanoemulsion caused mortality of adult B. glabrata , its egg embryos and S. mansoni . These results suggest the use of this nanoemulsion as an alternative in the control of the schistosomiasis cycle.
Inhibitors of the human immunodeficiency virus replication

The present invention relates to the following formula (I) [Chemical 1] Wherein c, X, Y, R 2 , R 3 , R 4 and R 6 are as defined in the present application, a composition thereof and its for treating a human immunodeficiency virus (HIV) infection Regarding use. In particular, the present invention provides novel inhibitors of HIV integrase, pharmaceutical compositions comprising the compounds and methods of using these compounds in the treatment of HIV infection. [Selection figure] None
Shared contextual knowledge strengthens inter-subject synchrony and pattern similarity in the semantic network

Understanding what is happening during an event can be helped by prior knowledge of the specific context. However, the effect of contextual knowledge on neural representations of events, and relatedly, how shared knowledge impacts on the similarity of neural processing of events across individuals is poorly understood. To investigate this, we manipulated the availability of knowledge about the narrative content of events while keeping all other aspects equally familiar. The presence of narrative knowledge boosted subjective ratings of coherency and objective measures of memory performance. Narrative knowledge had two effects on fMRI markers of neural processing: (1) it strengthened temporal inter-subject correlations in ventromedial prefrontal cortex as well as left angular and inferior frontal gyri, and (2) it also increased spatial inter-subject pattern similarity in the bilateral anterior temporal lobes. We propose that shared narrative knowledge constrains participants9 interpretation of the videos and thereby results in greater alignment of neural processing of the events. We propose a division of labour between semantic control brain regions (VMPFC, IFG and AG), which process the moment-by-moment content of the narrative, and the ATL which represents the overarching narrative gist of an event.
Heterogeneous Univariate Outlier Ensembles in Multidimensional Data

In outlier detection, recent major research has shifted from developing univariate methods to multivariate methods due to the rapid growth of multidimensional data. However, one typical issue of this paradigm shift is that many multidimensional data often mainly contains univariate outliers, in which many features are actually irrelevant. In such cases, multivariate methods are ineffective in identifying such outliers due to the potential biases and the curse of dimensionality brought by irrelevant features. Those univariate outliers might be well detected by applying univariate outlier detectors in individually relevant features. However, it is very challenging to choose a right univariate detector for each individual feature since different features may take very different probability distributions. To address this challenge, we introduce a novel Heterogeneous Univariate Outlier Ensembles (HUOE) framework and its instance ZDD to synthesize a set of heterogeneous univariate outlier detectors as base learners to build heterogeneous ensembles that are optimized for each individual feature. Extensive results on 19 real-world datasets and a collection of synthetic datasets show that ZDD obtains 5%–14% average AUC improvement over four state-of-the-art multivariate ensembles and performs substantially more robustly w.r. t. irrelevant features.
Defining the role of mitochondria in fresh meat quality development

During postmortem metabolism, hydrogen ions accumulate in the muscle and gradually lower the pH from 7.2 to an ultimate pH near 5.6. The ultimate pH of meat is widely valued as an indicator of fresh meat quality as it directly affects the quality characteristics of color, texture, and water holding capacity. Therefore, our research was conducted to identify the processes responsible for determining ultimate pH. Pigs harboring the AMPKγ3 mutation produce meat with extremely low ultimate pH (pH ~ 5.3) that is detrimental to quality. This phenomenon is often attributed to a greater glycogen content in muscle from the mutant pigs compared to wild-type pigs. However, our research indicated that greater glycolytic flux in muscle from these pigs causes a lower ultimate pH rather than greater tissue glycogen deposition. On the other hand, however, AMPKγ3 pigs contain more mitochondria and retain greater oxidative capacity. Hence, we hypothesized that mitochondria may contribute to the lower ultimate pH in muscle of these pigs. To test our hypothesis, isolated mitochondria were incorporated into an in vitro system the mimics postmortem glycolysis. Mitochondria enhanced glycolytic flux and pH decline in the in vitro system similar to that of AMPKγ3 pigs. After a series of experiments, we found that the causative agent for enhanced glycolytic flux is a soluble mitochondrial protein. In other experiments, mitochondrial F1-ATPase was found to be responsible for the majority of this effect, principally through promoting greater ATP hydrolysis at lower pH values, thereby allowing for greater flux through glycolysis. These data suggest that variations in ultimate pH may be more thoroughly explained and predicted by the abundance of mitochondria.
A Study on Antitumor Effect of 1,3,4-Thiadiazole Derivatives in Prostate and Breast Cancer Cell Lines (In Vitro)

1 Department of Chemistry, College of Science, Al-Nahrain University, Baghdad, Iraq (firas.hassan2014@yahoo.com) 2 Occupational Safety, Health and Environment Unit (OSHE), First Floor, East Tower, University of Malaya Medical Centre,59100 Lembah Pantai Kuala Lumpur, Malaysia (nany.hairunisa@um.edu.my) 3 Department of Chemical and Petrochemical Engineering, College of Engineering and Architecture, University of Nizwa, 616 Nizwa, Oman (salam.mohammed@unizwa.edu.om)
Partial Characterization of Glycans from Daedalea quercina (L) Fr.

Heteroglycans were extracted and isolated from the fruiting bodies of wild mushroom Daedalea quercina (L) Fr. These were obtained from sequential extraction with hot water, 1% Ammonium oxalate then 5% Sodium hydroxide solution followed by ethanol or acidic precipitation affording crude extracts which were further purified by dialysis membrane (MWCO 12 400). Separation by charge and size were done using DEAE-cellulose column and Sephadex G-100 or Sepharose CL-4B. This resulted to water soluble neutral (W1P-1A) and acidic (W1P-2A) glycan isolates, ammonium oxalate soluble (A1P-1) and two alkali soluble (N1P-1 and N1P-2) glycan isolates. Characterization of the hydrolyzed isolates using HPAEC-PAD and MALDI TOF MS showed glucan-rich heteroglycans (W1P-1A and W1P-2A); glucan and mannan rich heteroglycan, (N1P-1) and galactan-rich heteroglycan (A1P-1). The latter being the first reported galactan-rich glycan found in ammonium oxalate mushroom extract. The hydrolysates had approximately 4-5 degree of polymerization with molecular weights ranging from 689.680 to 851.788 Da. The hydrolysate of isolate N1P-2 is a glucan-rich heteroglycan which also contain N-acetyl glucosamine units. It is composed of polymers with 4-5 hexose units as well as N-acetyl glucosamine containing polymers of 6-8 hexose units with molecular weight range of 689.799 to 851.915 Da and 1055.718 to 1379.584 Da, respectively.
BotDetectorFW: an optimized botnet detection framework based on five features-distance measures supported by comparisons of four machine learning classifiers using CICIDS2017 dataset

A Botnet is one of many attacks that can execute malicious tasks and develop continuously. Therefore, current research introduces a comparison framework, called BotDetectorFW, with classification and complexity improvements for the detection of Botnet attack using CICIDS2017 dataset. It is a free online dataset consist of several attacks with high-dimensions features. The process of feature selection is a significant step to obtain the least features by eliminating irrelated features and consequently reduces the detection time. This process implemented inside BotDetectorFW using two steps; data clustering and five distance measure formulas (cosine, dice, driver & kroeber, overlap, and pearson correlation) using C#, followed by selecting the best N features used as input into four classifier algorithms evaluated using machine learning (WEKA); multilayerperceptron, JRip, IBK, and random forest. In BotDetectorFW, the thoughtful and diligent cleaning of the dataset within the preprocessing stage beside the normalization, binary clustering of its features, followed by the adapting of feature selection based on suitable feature distance techniques, and finalized by testing of selected classification algorithms. All together contributed in satisfying the high-performance metrics using fewer features number (8 features as a minimum) compared to and outperforms other methods found in the literature that adopted (10 features or higher) using the same dataset. Furthermore, the results and performance evaluation of BotDetectorFM shows a competitive impact in terms of classification accuracy (ACC), precision (Pr), recall (Rc), and f-measure (F1) metrics.
High-efficiency lithium niobate modulator for K band operation

This paper reports a hybrid silicon nitride–lithium niobate electro-optic Mach–Zehnder-interferometer modulator that demonstrates overall improvements in terms of half-wave voltage, optical insertion loss, extinction ratio, and operational bandwidth. The fabricated device exhibits a DC half-wave voltage of ∼1.3 V, a static extinction ratio of ∼27 dB, an on-chip optical loss of ∼1.53 dB, and a 3 dB electro-optic bandwidth of 29 GHz. In addition, this device operates beyond the 3 dB bandwidth, where a half-wave voltage of 3 V is extracted at 40 GHz when the device is biased at quadrature. The modulator is realized by strip-loading thin-film lithium niobate with low-pressure chemical vapor deposited silicon nitride; this enables reduced on-chip losses and allows for a lengthened 2.4 cm long interaction region that is specifically engineered for broadband performance.
Fish protein hydrolysate as an ingredient in diets for Arapaima gigas juveniles

This study evaluated the dietary inclusion of a fish protein hydrolysate (FPH) derived from from tilapia trimmings, on physiological and growth parameters of juveniles of A total of Arapaima gigas. 180 arapaima juveniles (91.4 ± 2.7 g) were used in a complete randomized design with six treatments (n = 3). Fish were fed to apparent satiation four times a day for eight weeks, with diets containing increasing inclusion levels of FPH (0, 4, 8, 12, 16 and 20%). FPH diets did not affect growth and hemato-biochemical parameters of arapaima juveniles. The FPH from tilapia trimmings seems to be a suitable ingredient for arapaima over 90 g feeds, at least up to 20% inclusion level. No bioactive effects of the FPH could be detected.
Polarization and bandwidth improvements of a zeroth‐order resonators loaded microstrip antenna with grid polarization filter cover and metallic cavity

In this research, the polarization and bandwidth of a zeroth‐order resonators (ZORs) loaded microstrip antenna are improved by employing a grid polarization filter cover and a metallic cavity. The polarization improvement is owing to three operations, (a) the filter cover allows co‐polarization wave passing through only, (b) the ZORs partly rotate the reflected cross‐polarizations (X‐polarizations) wave to be co‐polarization, (c) the metallic cavity suppresses the fringe fields of the cover. The bandwidth enhancement is owing to the polarization cover that reflects the X‐polarization, which forms a resonant cavity. The improvements of the simulated cross‐polarizations range from 17.7 to 35.3 dB in the band. The measured bandwidth is increased from 940 MHz (17.22%) of the referenced antenna to 1390 MHz (24.5%) of the proposed antenna. The measured results verify the simulations.
Knowledge of Evidence-Based Practices and Frequency of Selection Among School-Based Professionals of Students With Autism

Autism Focused Intervention Resources and Modules (AFIRM) are a set of self-paced, online learning modules designed to disseminate information about the 27 evidence-based practices identified through a large-scale review of focused intervention practices for individuals with autism. In this study, we used descriptive statistics and an analysis of variance to analyze more than 67,000 pre-tests completed by over 22,000 school-based AFIRM users to determine whether there are differences by occupation in the (a) selection of evidence-based practices, (b) knowledge of evidence-based practices, and (c) average number of evidence-based practices selected. Results reveal statistically significant differences between groups and have implications for providers and administrators responsible for designing and delivering professional development for school-based professionals working with students with autism.
ABBREVIATA ABBREVIATA (RUDOLPHI, 1819) AS A NEW NEMATODE PARASITE FOR MALPOLON INSIGNITUS (GEOFFROY SAINT-HILAIRE, 1827) RECORDED IN ALBANIA

1 Department of Zoology, Comenius University in Bratislava, Mlynská dolina B-1, 842 15, Bratislava, Slovakia. 2 Lendület Evolutionary Ecology Research Group, Plant Protection Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, 1022 Budapest, Herman Ottó út 15, Hungary. 3 Department of Medical Microbiology, Faculty of Medicine, University of Debrecen, H-4032 Debrecen Nagyerdei krt. 98, Hungary. Corresponding author: Daniel Jablonski, e-mail: daniel.jablonski@balcanica.cz
Projecting future births with fertility differentials reflecting women’s educational and migrant characteristics

Building on the well-established knowledge on fertility differentials by education and nativity/migration status, we employ microsimulation modelling to demonstrate the effect of accounting for such differences in population projections. We consider fertility differentials by educational attainment, enrolment in full-time education, region of birth, age at immigration, and duration of stay in the host country, which we introduce step-wise into the microsimulation model for the EU28. Results on projected TFRs and births by 2060 illustrate the importance of accounting for several sources of population heterogeneity. In the context of future educational expansion, modelling education differentials for students and for women with completed education is needed to capture the postponement effect of education on childbearing. Future migration assumptions that include migrant fertility differentials lead to widely varying projected numbers of future births. At fixed fertility differentials and a fixed composition of immigrant flows, the net effect of immigrant fertility on the overall TFR in the EU28 is projected to increase from the estimated 0.12 in 2015–2019 to 0.17 in 2055–59 in the scenario with baseline migration, and to 0.25 in 2055–59 in the scenario with doubled migration
Design of an Underactuated Finger Based on a Novel Nine-Bar Mechanism

Elastic elements are commonly adopted to realize underactuation in the design of human-friendly prosthetic hands. The stiffness of these elastic elements, which is a key factor affecting the grasp performance of the underactuated finger, has not well addressed when considering both the stability and adaptability. In this study, an adaptive anthropomorphic finger that adopted a novel nine-bar mechanism is proposed. This nine-bar mechanism is integrated through a coupled four-bar mechanism and an adaptive seven-bar mechanism. The developed finger based on the nine-bar mechanism is able to improve the grasp stability in the global workspace under an extremely small spring stiffness. A quantitative analysis of the grasp stability was carried out. Comparative experiments on the grasps using the finger with/without adaptability were also performed. The results validated that our finger has a good stability when grasping the objects of different sizes.
Efficient kernel-based variable selection with sparsistency

Sparse learning is central to high-dimensional data analysis, and various methods have been developed. Ideally, a sparse learning method should be methodologically flexible, computationally efficient, and provide a theoretical guarantee. However, most existing methods need to compromise some of these properties in order to attain the others. We develop a three-step sparse learning method, involving a kernel-based estimation of the regression function and its gradient functions, as well as a hard thresholding. Its key advantages are that it includes no explicit model assumption, admits general predictor effects, allows efficient computation, and attains desirable asymptotic sparsistency. The proposed method can be adapted to any reproducing kernel Hilbert space (RKHS) with different kernel functions, and its computational cost is only linear in the data dimension. The asymptotic sparsistency of the proposed method is established for general RKHS under mild conditions. The results of numerical experiments show that the proposed method compares favorably with its competitors in both Statistica Sinica: Preprint doi:10.5705/ss.202019. 0401
The numerous approaches to tracking extratropical cyclones and the challenges they present

Extratropical cyclones (ETCs) are large-scale low-pressure systems that develop in the mid-latitude regions. These systems can travel thousands of kilometres and can last several days and are often, but not always, associated with high winds and heavy rain (Ulbrich et al., 2009; Catto, 2018). The most powerful ETCs can cause significant socioeconomic damage, costing millions of pounds (Hawcroft et al., 2012; Garnier et al., 2018). For example, large storm surges associated with ETCs can cause loss of life through coastal flooding, while strong winds cause falling trees and debris, in addition to disrupting transport systems and severely damaging property. Cyclogenesis can occur in numerous ways, the most ubiquitous of which is baroclinic instability characterised by strong vertical wind shear in the mid-latitudes. This shear, in turn, results via thermal wind balance, due to strong temperature gradients. ETCs act to reduce this gradient through the polewards transport of latent and sensible heat. Consequently, if the gradient is small, there is less potential energy available for cyclogenesis. Decreased equator-to-pole temperature gradients in the lower troposphere, resulting from polar amplification (the increased rate of warming in higher latitudes compared to lower latitudes as a result of increasing concentrations of greenhouse gases (Manabe and Wetherald, 1975)), are believed to be one reason behind the predicted decrease in ETC numbers for the Northern Hemisphere (NH) (Bengtsson et al., 2009; Catto et al., 2011). In addition, the increase in temperatures would enhance latent heat release and is thought to contribute to the deepening and intensification The numerous approaches to tracking extratropical cyclones and the challenges they present