Miracle-dz/UniFAR-FTUs huggingface dataset:
The Landscape of Aminoacyl-tRNA Synthetases Involved in Severe Acute Respiratory Syndrome Coronavirus 2 Infection

Aminoacyl-tRNA synthetases (aaRSs) are essential enzymes in translation by linking amino acids onto their cognate tRNAs during protein synthesis. During evolution, aaRSs develop numerous non-canonical functions that expand the roles of aaRSs in eukaryotic organisms. Although aaRSs have been implicated in viral infection, the function of aaRSs during infections with coronaviruses (CoVs) remains unclear. Here, we analyzed the data from transcriptomic and proteomic database on human cytoplasmic (cyto) and mitochondrial (mt) aaRSs across infections with three highly pathogenic human CoVs, with a particular focus on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We found an overall downregulation of aaRSs at mRNA levels, while the protein levels of some mt-aaRSs and the phosphorylation of certain aaRSs were increased in response to SARS-CoV-2 infection. Strikingly, interaction network between SARS-CoV-2 and human aaRSs displayed a strong involvement of mt-aaRSs. Further co-immunoprecipitation (co-IP) experiments confirmed the physical interaction between SARS-CoV-2 M protein and TARS2. In addition, we identified the intermediate nodes and potential pathways involved in SARS-CoV-2 infection. This study provides an unbiased, overarching perspective on the correlation between aaRSs and SARS-CoV-2. More importantly, this work identifies TARS2, HARS2, and EARS2 as potential key factors involved in COVID-19.
Assessment of Bacterial Inoculant Delivery Methods for Cereal Crops

Despite growing evidence that plant growth-promoting bacteria can be used to improve crop vigor, a comparison of the different methods of delivery to determine which is optimal has not been published. An optimal inoculation method ensures that the inoculant colonizes the host plant so that its potential for plant growth-promotion is fully evaluated. The objective of this study was to compare the efficacy of three seed coating methods, seedling priming, and soil drench for delivering three bacterial inoculants to the sorghum rhizosphere and root endosphere. The methods were compared across multiple time points under axenic conditions and colonization efficiency was determined by quantitative polymerase chain reaction (qPCR). Two seed coating methods were also assessed in the field to test the reproducibility of the greenhouse results under non-sterile conditions. In the greenhouse seed coating methods were more successful in delivering the Gram-positive inoculant (Terrabacter sp.) while better colonization from the Gram-negative bacteria (Chitinophaga pinensis and Caulobacter rhizosphaerae) was observed with seedling priming and soil drench. This suggested that Gram-positive bacteria may be more suitable for the seed coating methods possibly because of their thick peptidoglycan cell wall. We also demonstrated that prolonged seed coating for 12 h could effectively enhance the colonization of C. pinensis, an endophytic bacterium, but not the rhizosphere colonizing C. rhizosphaerae. In the field only a small amount of inoculant was detected in the rhizosphere. This comparison demonstrates the importance of using the appropriate inoculation method for testing different types of bacteria for their plant growth-promotion potential.
A Modfied Nuss Procedure for Recurrent Pectus Excavatum of Adults

Background Limited data exist for adults with recurrent pectus excavatum (PE) treated with minimally invasive surgical repair. Methods Between July 2008 and December 2020, forty-two adult patients with recurrent PE underwent a modified Nuss procedure with a newly designed bar in our center. A small vertical subxiphoid incision was used to separate severe adhesions when necessary. Multiple steel wires were sutured, and the rib space was narrowed to firmly fix the bar. The primary end point was Haller index change after operation. The secondary end points included length of stay after operation, short-term and long-term complications. Results The mean patient age was 22.02 ± 3.49 years. The mean Haller index was 4.59 ± 1.09. A subxiphoid incision was performed in 12 patients. Thirty-nine patients had one bar placed, and 3 patients required two bars. Sixteen patients had 3 or more wires fixation, and 4 patients needed to have their intercostal space narrowed. There was no perioperative death, and the mean hospitalization was 5.57 ± 2.47 days. The Haller index reduced to 3.03 ± 0.41 after the operation (t = 11.85, p < 0.001). During the follow-up, there were 3 patients who developed non-infective wound effusion; bar rotations occurred in 3 patients. Twenty patients had the bar removed, post-bar removal Haller index was significantly reduced compared to the preoperative Haller index (2.89 ± 0.37 vs. 4.72 ± 1.05, t = 8.96, p < 0.001). Conclusions The modified Nuss procedure with a new titanium alloy bar can achieve good results for adult patients with recurrent PE.
Different Functions of IbRAP2.4, a Drought-Responsive AP2/ERF Transcription Factor, in Regulating Root Development Between Arabidopsis and Sweetpotato

Plant root systems are essential for the uptake of water and nutrients from soil and are positively correlated to yield in many crops including the sweetpotato, Ipomoea batatas (L.) Lam. Here, we isolated and functionally characterized IbRAP2.4, a novel nuclear-localized gene encoding the AP2/ERF transcription factor, from sweetpotato. IbRAP2.4 was responsive to NaCl, PEG8000, ethylene, and Indole 3-acetic acid treatments. As revealed by electrophoretic mobility shift assay and dual luciferase assay, IbRAP2.4 could bind to both DRE and GCC-box elements and acted as a transcription activator. IbRAP2.4 overexpression significantly promoted lateral root formation and enhanced the drought tolerance in Arabidopsis thaliana, while it inhibited storage root formation in transgenic sweetpotato by comprehensively upregulating lignin biosynthesis pathway genes. Results suggested that IbRAP2.4 may be a useful potential target for further molecular breeding of high yielding sweetpotato.
Genome-Wide Association Study of Grain Number in Common Wheat From Shanxi Under Different Water Regimes

Water availability is a crucial environmental factor on grain number in wheat, which is one of the important yield-related traits. In this study, a diverse panel of 282 wheat accessions were phenotyped for grain number per spike (GNS), spikelet number (SN), basal sterile spikelet number (BSSN), and apical sterile spikelet number (ASSN) under different water regimes across two growing seasons. Correlation analysis showed that GNS is significantly correlated with both SN and BSSN under two water regimes. A total of 9,793 single nucleotide polymorphism (SNP) markers from the 15 K wheat array were employed for genome-wide association study (GWAS). A total of 77 significant marker-trait associations (MTAs) for investigated traits as well as 8 MTAs for drought tolerance coefficient (DTC) were identified using the mixed linear model. Favored alleles for breeding were inferred according to their estimated effects on GNS, based on the mean difference of varieties. Frequency changes in favored alleles associated with GNS in modern varieties indicate there is still considerable genetic potential for their use as markers for genome selection of GNS in wheat breeding.
Representation of Jews and Anti-Jewish Bias in 19th Century French Public Discourse: Distant and Close Reading

We explore through the lens of distant reading the evolution of discourse on Jews in France during the XIX century. We analyze a large textual corpus including heterogeneous sources—literary works, periodicals, songs, essays, historical narratives—to trace how Jews are associated to different semantic domains, and how such associations shift over time. Our analysis deals with three key aspects of such changes: the overall transformation of embedding spaces, the trajectories of word associations, and the comparative projection of different religious groups over different, historically relevant semantic dimensions or streams of discourse. This allows to show changes in the association between words and semantic domains (referring e.g. to economic and moral behaviors), the evolution of stereotypes, and the dynamics of bias over a long time span characterized by major historical transformations. We suggest that the analysis of large textual corpora can be fruitfully used in a dialogue with more traditional close reading approaches—by pointing to opportunities of in-depth analyses that mobilize more qualitative approaches and a detailed inspection of the sources that distant reading inevitably tends to aggregate. We offer a short example of such a dialogue between different approaches in our discussion of the Second Empire transformations, where we mobilize the historian’s tools to start disentangling the complex interactions between changes in French society, the nature of sources, and representations of Jews. While our example is limited in scope, we foresee large potential payoffs in the cooperative interaction between distant and close reading.
Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?

Medical Retina Department, Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom, Medignition Inc., Research Consultants, Zurich, Switzerland, Health Data Research UK, London, United Kingdom, National Institute for Health Research (NIHR) Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital National Health Service (NHS) Foundation Trust and University College London (UCL) Institute of Ophthalmology, London, United Kingdom, 5 Julius Center for Health Science and Primary Care, University Medical Center Utrecht, University of Utrecht, Utrecht, Netherlands, Department of Biostatistics, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, Netherlands
Application of Rolling Window Algorithm to the Robot Path Planning

Using rolling window theory,the robot path planning algorithm in globally unknown environment,especially with moving obstacles is studied.This paper puts emphasis upon analysis of scenario prediction with the limited information detected by sensor,and discusses how to plan local path optimally with heuristic information on the precondition of safety.Combining with mechanism of rolling window and feedback,the global path planning is carried out.This algorithm regards robot as the centre,has high effectiveness and application value.The algorithm's efficiency is validated by simulation results.
RHPTree - Risk Hierarchical Pattern Tree for Scalable Long Pattern Mining

Risk patterns are crucial in biomedical research and have served as an important factor in precision health and disease prevention. Despite recent development in parallel and high-performance computing, existing risk pattern mining methods still struggle with problems caused by large-scale datasets, such as redundant candidate generation, inability to discover long significant patterns, and prolonged post pattern filtering. In this article, we propose a novel dynamic tree structure, Risk Hierarchical Pattern Tree (RHPTree), and a top-down search method, RHPSearch, which are capable of efficiently analyzing a large volume of data and overcoming the limitations of previous works. The dynamic nature of the RHPTree avoids costly tree reconstruction for the iterative search process and dataset updates. We also introduce two specialized search methods, the extended target search (RHPSearch-TS) and the parallel search approach (RHPSearch-SD), to further speed up the retrieval of certain items of interest. Experiments on both UCI machine learning datasets and sampled datasets of the Simons Foundation Autism Research Initiative (SFARI)—Simon’s Simplex Collection (SSC) datasets demonstrate that our method is not only faster but also more effective in identifying comprehensive long risk patterns than existing works. Moreover, the proposed new tree structure is generic and applicable to other pattern mining problems.
Aerodynamic Design Optimization of Turbine Blade Based on Multidiscipline

Design of the gas turbine blade includes many disciplines,such as aerodynamics,intensity,oscillation,structure,arts and crafts,material,thermodynamics,etc.Due to the complexity of the design process,the aerodynamic design for some turbine blades is simulated based on three disciplines of aerodynamics,intensity and thermodynamics.Research problems involve parametric modeling,design optimization modeling,simulation optimization integrating,and optimization planning,etc.Meanwhile,the optimization strategy for design variables is analyzed.The optimization simulation and the computation of the coupling flow field,the stress field and the temperature field of the turbine blade aerodynamic design are implemented.Results of optimization variables,constraints and objectives before optimization and after optimization are compared.
Short Communications BREEDING SuCCESS Of CORy’S SHEARwATER IN RELATION TO NEST CHARACTERISTICS AND pREDATION By ALIEN MAMMALS ÉxITO REpRODuCTIVO DE LA pARDELA CENICIENTA ATLáNTICA EN RELACIóN CON LAS CARACTERíSTICAS DE LOS NIDOS y LA DEpREDACIóN pOR MAMífEROS ExóTICOS

—procellariiformes are one of the most threatened groups of birds of the world so knowledge of nesting habitat and factors affecting breeding rates are vital issues for their conservation. Although Cory’s Shearwater Calonectris borealis is a well-studied seabird species on the whole, information on the relationship between its breeding parameters and nest site characteristics is quite limited. To address this gap, during 2017-2019, we conducted a study on its breeding performance on Tenerife, the largest and the most densely populated island of the Canarian archipelago. we constructed generalized linear mixed models to evaluate the potential effects of nest features on breeding performance. Two variables explained breeding success: the distance from the nest to the nearest paved road, and the presence of pebbles at the entrance of the nest-burrow, which correlated negatively and positively with breeding success, respectively. The majority of failures occurred during the incubation period. Breeding failures were mainly related to egg abandonment and rat predation upon eggs or chicks. Effective measures mitigating human-instigated disturbance (e.g. control of dogs, rats and feral cat populations, and reducing light pollution), together with studies on factors affecting demographic parameters, are needed to guarantee the long-term conservation of Cory’s Shearwater and other seabird Ardeola 69(1), 2022, 115-128 DOI: 10.13157/arla.69. 1.2022. sc1
Bandwidth Estimating Strategy for a 2-Layer Rectangular Suspended Microstrip Antenna

This paper presents a strategy for estimating the impedance bandwidth of linearly- polarized suspended microstrip antennas. Based on the cavity model and conformal mapping method (used for calculating the efiective permittivity of a two-layer microstrip line), an iterative algorithm was implemented in Mathematica for estimating the air gap thickness. Results are compared with HFSS simulations in order to validate the proposed procedure.
A three-dimensional measurement method for binocular endoscopes based on deep learning

In the practice of clinical endoscopy, the precise estimation of the lesion size is quite significant for diagnosis. In this paper, we propose a three-dimensional (3D) measurement method for binocular endoscopes based on deep learning, which can overcome the poor robustness of the traditional binocular matching algorithm in texture-less areas. A simulated binocular image dataset is created from the target 3D data obtained by a 3D scanner and the binocular camera is simulated by 3D rendering software to train a disparity estimation model for 3D measurement. The experimental results demonstrate that, compared with the traditional binocular matching algorithm, the proposed method improves the accuracy and disparity map generation speed by 48.9% and 90.5%, respectively. This can provide more accurate and reliable lesion size and improve the efficiency of endoscopic diagnosis.
Bulletin of Electrical Engineering and Informatics

Received Jul 13, 2021 Revised Sep 8, 2021 Accepted Dec 6, 2021 In this paper, we proposed a hybrid or compound reconfigurable antenna using three PIN diode switching to achieve the different types of reconfiguration: frequency and radiation pattern. Based on an open ring structure with the varied active PIN diodes, the proposed antenna radiation pattern can scan a beam along with one of five directions with the same operating frequency. Depended on the number of active PIN diodes, the antenna operating frequency also can switch to two of six bands which are 1.9 GHz, 2.4/2.6 GHz, 3.5 GHz, 5 GHz, and 5.6 GHz. All frequency bands are popular ones of wireless communication as well as 5G/IoT applications. In addition, the antenna gets a compact size of 30mm *30 mm*1.6 mm and wide bandwidth due to using the radiating shape of a double ring. All details of antenna design are optimized by CST software, and the simulation results agree well with the measurement results.
Nursery fertilization affected field performance and nutrient resorption of Populus tomentosa Carr. ploidy levels

Nutrient resorption (NuR) is an important nutrient conservative strategy but little information is available about the effect of nursery fertilization on NuR in the field. In this study, diploid and triploid one-year-old plants of Populus tomentosa Carr. were fertilized with 9 g N per plant, and non-fertilized plants as control. Initial functional attributes, i.e. , height, diameter, stem mass, mineral nutrients and non-structural carbohydrate (NSC) levels of each tissue, were measured before planting. Field performance (survival, total height, diameter, stem volume and their growth, leaf nutrient status, and NuR) were measured in the field. Compared to control, 9 g N per plant was benefit for plant growth, mineral nutrients and NSC accumulation of diploids, but declined plant size of triploids before planting. While in the field, fertilization effect on plant size was inversed for each ploidy level. Nursery fertilization increased nitrogen resorption efficiency (NRE) of triploids and decreased phosphorus resorption efficiency (PRE) of both ploidy levels. Initial plant size were the most effective parameters predicting field performance and NuR. Furthermore, NRE was multi-elements controlled as indicated by the correlation of N and P in green and senesced leaves, while PRE was only positively correlated with P in green leaves. However, there was no relationship between field growth and NuR. This study deepened our understanding of NuR from the perspective of artificial managements, for instance nursery fertilization.
Density‐habitat relationships of white‐tailed deer (Odocoileus virginianus) in Finland

Abstract In heterogeneous landscapes, resource selection constitutes a crucial link between landscape and population‐level processes such as density. We conducted a non‐invasive genetic study of white‐tailed deer in southern Finland in 2016 and 2017 using fecal DNA samples to understand factors influencing white‐tailed deer density and space use in late summer prior to the hunting season. We estimated deer density as a function of landcover types using a spatial capture‐recapture (SCR) model with individual identities established using microsatellite markers. The study revealed second‐order habitat selection with highest deer densities in fields and mixed forest, and third‐order habitat selection (detection probability) for transitional woodlands (clear‐cuts) and closeness to fields. Including landscape heterogeneity improved model fit and increased inferred total density compared with models assuming a homogenous landscape. Our findings underline the importance of including habitat covariates when estimating density and exemplifies that resource selection can be studied using non‐invasive methods.
Sandwiched Electromagnetic Vibration Energy Harvester Based on MEMS Technology

This paper presented the design,fabrication and performance of a sandwiched vibration based electromagnetic energy harvester,which mainly consists of a top coil,a bottom coil,a NdFeB permanent magnet and a nickel planar spring integrated with silicon frame.The symmetrical arrangement of two coils helps to make full use of the magnetic field around the permanent magnet so as to increase the efficiency of transition from mechanical energy to power energy.The prototype was fabricated mainly with MEMS technology,in which the nickel planar spring with silicon frame was made with silicon micromachining and microelectroplating techniques and the two-layer copper coil was fabricated using microelectroplating and polyimide as insulation layer.The assembled device was about 0.32 cm3 in size.Results of tests for vibration characteristics show that the vibration amplitude of the permanent magnet increased with the increase of the input vibration acceleration till 8 m/s2 and then hardly increased for saturation.Results of tests for electrical characteristics indicate that the load voltages generated by the single coil and series coil under acceleration of 8 m/s2 were 82.5 mV and 125 mV,respectively.Therefore,the novel design of sandwiched structure raised the induced voltage by 51.5%. In addition,the maximum load voltage and the maximum load power generated by the sandwiched prototype were 125 mV and 13.2 μW,respectively,under the acceleration of 8 m/s2 and vibration excitation with resonant frequency of 280.9 Hz.
INTERRELATIONSHIP BETWEEN MILITARY SPENDING AND ECONOMIC GROWTH (INVESTIGATION BY GMM TECHNIQUE)

The reasoning about interrelationship between state’s military spending and economic growth have never been apodictic truth, providing scientists with fertile ground for meaningful discussions. In this study, the impact of military spending on economic growth was examined for 15 countries with highest share of military spending in gross government expenditure, using the GMM (Generalized Method of Moments) over the period 2005-2017. For comparative analysis, we added dummy variables in the regression model to assess the impact of military spending on growth in each country separately. The results of study allow us to conclude that in the 15 surveyed countries the significant negative correlation exists between government military spending and GDP as well as the positive correlation exists between non-military spending and GDP. Herewith, an analysis carried out for individual countries by using dummy variables technique, showed that for some countries the influence of military spending on economic growth is positive, and it is negative for other countries.
Herbivore fish diversity patterns in an Indonesian outer island

Coral reefs are highly productive communities and the most complex ecosystems in the seas, being also ecosystems with fish communities with the highest degree of diversity. The present study aimed to measure the species richness and total herbivore biomass using Underwater Visual Census with number of individuals encountered within 2.5 m on either side of a 75-m transect laid down. Within each habitat species were counted, length of each herbivore fish species that counted on seventeen reefs sites was considered. Free-ranging herbivores of interest in study were fishes in the family Acanthuridae (Surgeonfish), Scaridae (parrotfishes), and Siganidae (Rabbitfishes). Fourthy one herbivore fish species were found; Scaridae (25 species), Siganidae (10 species) and Acanthuridae (6 species). The location of RS15 in Penagi, East Natuna showed the highest abundance and biomass of herbivorous fish. The environmental condition in Natuna Island has good condition with the less of ecological stresses although in several site (at the western Natuna) destructive fishing have been reported.