Miracle-dz/UniFAR-FTUs huggingface dataset:
Phenological observations on protected natural areas associated with brown bear (Ursus arctos L.) ecology

The Chronicles of Nature (Letopis Prirody) kept in the nature reserves of the Russian Federaton aggregate a wide spectrum of systematic field records. Information of particular interest therein is the timing of ripening of berries and their yields across years, since berries are an important food for many wildlife species, including brown bear (Ursus arctos), a core species in boreal European Russia. Such trophic links are most explicit and interesting in the autumn during fattening or hyperphagia period in bears, when the animals depend on berry availability for storing up fat. We aimed to identify the ecological relationships of brown bear applying integrated analysis of field data on the carnivore diet and of records from the Chronicles of Nature of the Kivach Nature Reserves (the middle taiga) and the Pinega Nature Reserve (the northern taiga). We have determined the prevalence (%) of the certain foods in brown bear scats sampled from transects along forest roads and paths. The number and productivity of fruit-bearing rowan trees (Sorbus aucuparia) were determined along permanent transects. Bilberry (Vaccinium myrtillus) and cowberry (Vaccinium vitis-idaea) berries dominate in brown bear diet. Berry ripening dates (19-43 days) and the average yield (scores 1.3 to 5.0) vary greatly over years. Trends in ripening onset dates follow a vector towards earlier dates. In the Pinega NR, the rate of this process is faster in bilberry. The coefficient of rank correlation between the number of fruit-bearing rowans along dirt roads and rowan prevalence in scats was r=1. The same significant correlation was found between the number of fruit-bearing rowan trees and rowan berry yield. The prevalence of different foods in brown bear scats during the hyperphagia period shows the high dietary plasticity of species. A reliable strong correlation was detected in the Pinega NR between the last sighting of brown bear tracks in autumn and the onset of berry ripening in bog bilberry and rowan. The relatively stable food supply for brown bear in the middle and northern taiga of European Russia is one of the factors defining the high numbers and wide distribution of the species. Keywords: Chronicles of Nature, nature reserves, middle and northern taiga subzones, fattening foods, berry fruiting, trophic links, dietary plasticity, Ursus arctos.
Vulnerability of Triple-Negative Breast Cancer to Saponin Formosanin C-Induced Ferroptosis

Targeting ferritin via autophagy (ferritinophagy) to induce ferroptosis, an iron- and reactive oxygen species (ROS)-dependent cell death, provides novel strategies for cancer therapy. Using a ferroptosis-specific inhibitor and iron chelator, the vulnerability of triple-negative breast cancer (TNBC) MDA-MB-231 cells to ferroptosis was identified and compared to that of luminal A MCF-7 cells. Saponin formosanin C (FC) was revealed as a potent ferroptosis inducer characterized by superior induction in cytosolic and lipid ROS formation as well as GPX4 depletion in MDA-MB-231 cells. The FC-induced ferroptosis was paralleled by downregulation of ferroportin and xCT expressions. Immunoprecipitation and electron microscopy demonstrated the involvement of ferritinophagy in FC-treated MDA-MB-231 cells. The association of FC with ferroptosis was strengthened by the results that observed an enriched pathway with differentially expressed genes from FC-treated cells. FC sensitized cisplatin-induced ferroptosis in MDA-MB-231 cells. Through integrated analysis of differentially expressed genes and pathways using the METABRIC patients’ database, we confirmed that autophagy and ferroptosis were discrepant between TNBC and luminal A and that TNBC was hypersensitive to ferroptosis. Our data suggest a therapeutic strategy by ferroptosis against TNBC, an aggressive subtype with a poor prognosis.
Research on 3D Data Model of Apparent Damage Features for Concrete Structures

The apparent damage features are described from the aspects of apparent crack,apparent defect and structural distortion,and the shape,description and feature data model of these objects are analyzed,shape feature of apparent crack is analyzed with the method of fractal geometry,and the simplification model is provided for structural apparent cracks meeting for the similarity and precision.The ways of 3-D model construction are analyzed deeply on the basis of the spatial model composed of vector and grid,the suitable apparent features are extracted and its' spatial data structure is also given,which is helpful for spatial analysis based on the research of B-Rep model with 3D FDS data structure that is a object oriented spatial model.
A Preliminary Study on the Resolution of Electro-Thermal Multi-Physics Coupling Problem Using Physics-Informed Neural Network (PINN)

The problem of electro-thermal coupling is widely present in the integrated circuit (IC). The accuracy and efficiency of traditional solution methods, such as the finite element method (FEM), are tightly related to the quality and density of mesh construction. Recently, PINN (physics-informed neural network) was proposed as a method for solving differential equations. This method is mesh free and generalizes the process of solving PDEs regardless of the equations’ structure. Therefore, an experiment is conducted to explore the feasibility of PINN in solving electro-thermal coupling problems, which include the electrokinetic field and steady-state thermal field. We utilize two neural networks in the form of sequential training to approximate the electric field and the thermal field, respectively. The experimental results show that PINN provides good accuracy in solving electro-thermal coupling problems.
Coordination of mode switching control and SMES unit for low‐voltage ride‐through fulfillment of power electronic transformer

Power electronic transformer (PET) should have a satisfying low‐voltage ride‐through (LVRT) ability to cope with different kinds and severities of voltage sags. To solve the LVRT issue, this paper proposes to coordinate mode switching control (MSC) and superconducting magnetic energy storage (SMES), and it is to realize the targets of promoting voltage recovery, keeping DC‐link stabilization, and alleviating current inrush. First, the theoretical modeling of a PET incorporating with a SMES unit is implemented, and the PET’s fault transient characterizes as well as the SMES’s potential supportability is analyzed. Then, the coordination philosophy of the MSC and the SMES is presented. For that the voltage sag reaches a certain threshold, the MSC is enabled to remove the PET’s normal control, and the SMES collaboratively operates to lower the DC‐link overvoltage, while avoiding the PET damage. In the process of the coordination control handling the voltage transients, a proper reactive current injection is carried out at the PET’s output stage to assist the voltage recovery, and the PET can possess a better LVRT margin. Using MATLAB, a 3 MW PET with an 8 H/1.2 MJ SMES unit is modeled, and different voltage sag scenarios and utilization ways of the MSC and the SMES are simulated. The comparative analysis results show that the proposed approach realizes a satisfying LVRT for the PET.
Chronic Lung and Gastrointestinal Diseases: Take a Broader Perspective

Chronic lung diseases, such as asthma and chronic obstructive pulmonary disease (COPD), are often found with gastrointestinal symptoms or even gastrointestinal diseases as one of its comorbid. Vice versa, many cases of gastrointestinal diseases such as gastroesophageal reflux disease (GERD) have developed respiratory dysfunction later. The connection between these two systems has become interesting lately and has led to several studies to prove the association. Several theories have emerged to explain this association. This includes changes in microbiota, the mucosa-related immune system of both systems, side effects of the therapeutic given, and pathomechanism related to gastrointestinal diseases such as GERD. Many studies try to prove the connection between the microbiota in the respiratory and gastrointestinal system, and changing the abundance in one of the systems can affect another. Both of the systems also have a similar mucosal membrane in their lining. Those membranes have an immune defence called Mucosal-Associated Lymphoid Tissue (MALT). Lymphatic and circulatory systems facilitate the migration between two mucosal, and these interconnections influence each other. Although the side effect of the therapeutic agent in respiratory diseases (such as inhaled corticosteroid, beta-2 agonist, or anti-cholinergic) is thought to be one of the causative mechanisms, discontinuation of therapy is the second option. Probiotic supplementation to improve microbiota is still not a strong recommendation for management.
Parasitism of Ferrisia virgata (Hemiptera: Pseudococcidae) by Anagyrus kamali (Hymenoptera: encyrtidae)

ABSTRACT We analysed the impact of Anagyrus kamali on the survival and development of Ferrisia virgata, three stages (second and third-instar nymphs, and adult females) and five densities (1, 2, 4, 8 and 16), using the same treatments in the absence of the parasitoid as a control. In each assay, a parasitoid female was confined with F. virgata for 14 ± 0.9 days. A. kamali females can reduce the survival of F. virgata, inhibiting its development. Emergence of the parasitoid progeny was inhibited in the three developmental stages of F. virgata due to high mortality in the immature stages of A. kamali.
Study on design and control of permanent-magnet-type bearingless motor

An analytical model of levitation force considering the location eccentricity between the stator and rotor of the motor and A design method for the suspending winding parameters in this model were proposed.for studying the design method and control strategy of permanent-magnet-type bearingless motor(PMBLM). Based on analysis of the creation of PMBLM levitation force and on finite element analysis(FEA),the method was applied in the design of a prototype PMBLM system.According to the control requirement,the rotor field oriented control for torque control sub-system and the fuzzy self-adjusting ProportionalIntegral-Differential(PID) control for levitation force control sub-system were discussed.The result of the suspension operation experiment the designed parameters are consistent with the practical sample,which verifying the design method is correct and feasible;and that the control strategy effectively weakens the influences of the complex motor model,the real-time changing parameters and some other practical factors and guarantees the robustness of the operation control.
Wavelet Package Energy Transmissibility Function and Its Application to Wind Turbine Blade Fault Detection

To harvest wind energy from nature, wind turbines are increasingly installed globally, and the blades are the most essential components within the turbine system. The blades usually suffer from time-varying nonstationary wind loads, and the load information is normally unknown or difficult to collect. This poses significant challenges to the blade assessment and damage detection. Transmissibility function (TF) methods have the potential to address this challenge as they do not require loading information. In this article, a novel wavelet package energy TF (WPETF) method is proposed to increase the high-frequency resolution while maintaining its low sensitivity to noise, and it is further used for wind turbine blade fault detection. Compared with the existing Fourier TF method, the proposed method is immune to the external loading impacts, does not require excitation knowledge, and is robust to noise. Compared with the existing wavelet energy TF method, the novel one uses wavelet package decomposition instead of wavelet decomposition to further increase the high-frequency resolution, which provides richer damage-induced information. The effectiveness of the WPETF method for wind turbine blade condition assessment is first verified numerically, and then on three industrial-scale wind turbine blades with both naturally (uncontrolled) and artificially introduced (controlled) damage. Its advantages over a number of existing methods are also demonstrated.
How Can Music Help Us to Address the Climate Crisis?

Musicians and music psychologists are acutely aware of the power of music and its ability to influence our emotions, moods, thoughts, wellbeing, identity, and behaviour towards others. Indeed, music is often used to help address specific problems, especially within health and wellbeing. The problem of climate change is becoming increasingly well-established in public discourse, and yet individuals frequently fail to act in an environmentally-friendly manner. Within the field of environmental psychology, several empirically-based theories have been developed to aid the understanding of why individuals behave in the ways that they do in relation to the environment. This article examines a selection of these theories, and makes an attempt to identify areas in which research in music psychology provides evidence to suggest that music could play a role in influencing environment-related beliefs and behaviours.
A high-spatial resolution soil carbon and nitrogen dataset for the northern permafrost region, based on circumpolar land cover upscaling

Abstract. Soils in the northern high latitudes are a key component in the global carbon cycle; the northern permafrost region covers 22 % of the Northern Hemisphere and holds almost twice as much carbon as the atmosphere. Permafrost soil organic matter stocks represent an enormous long-term carbon sink which is in risk of switching to a net source in the future. Detailed knowledge about the quantity and the mechanisms controlling organic carbon storage is of utmost importance for our understanding of potential impacts of and feedbacks on climate change. Here we present a geospatial dataset of physical and chemical soil properties calculated from 651 soil pedons encompassing more than 6500 samples from 16 different study areas across the northern permafrost region. The aim of our dataset is to provide a basis to describe spatial patterns in soil properties, including quantifying carbon and nitrogen stocks, turnover times, and soil texture. There is a particular need for spatially distributed datasets of soil properties, including vertical and horizontal distribution patterns, for modelling at local, regional or global scales. This paper presents this dataset, describes in detail soil sampling, laboratory analysis and derived soil geochemical parameters, calculations and data clustering. Moreover, we use this dataset to estimate soil organic carbon and total nitrogen storage estimates within the soil area of the northern circumpolar permafrost region (17.9 × 106 km2) using the ESA’s Climate Change Initiative (CCI) Global Land Cover dataset at 300 m pixel resolution. We estimate organic carbon and total nitrogen stocks on a circumpolar scale (excluding Tibet) for the 0–100 cm and 0–300 cm soil depth to 380 Pg and 813 Pg for carbon and 21 Pg and 55 Pg for nitrogen, respectively. Of which 48 % of the area is within the land cover class forest with a total SOC and TN storage for 0–300 cm of 35 % and 36 %, respectively. Our organic carbon estimates agree with previous studies, with most recent estimates of 1000 Pg (−170 to +186 Pg) to 300 cm depth but show different spatial patterns. Two separate datasets are freely available on the Bolin Centre Database repository (https://doi.org/10.17043/palmtag-2022-pedon-1, Palmtag et al., 2022a and https://doi.org/10.17043/palmtag-2022-spatial-1, Palmtag et al., 2002b).
Detection and Information Acquire of V Groove Based on Structure Light Vision Sensing

The image process and corner detection of V groove seam based on structure light vision sensing has been studied.The image taken by CCD camera and processed by threshold transform,median filtering,Laplace sharpening,thinning can distill the stripe of welding line exactly,then detect the seam position by Euclid space vector angle method.According to the calculation method of V groove's offset,width and height to acquire information and realize seam tracking.
Xenosyangi sp. nov.: A new twisted-wing parasite species (Strepsiptera, Xenidae) from Gaoligong Mountains, Southwest China

﻿Abstract Here we report a new twisted-wing parasite species of the family Xenidae based on both morphological and molecular evidence. By using nearly complete mitogenomes, we confirmed the twisted-wing parasites on two wasps (Vespavelutina and Vespabicolor) (China: Yunnan) as the same species, and associated its neotenic females and alate males. Combining the mitogenomic data (COI) and morphological traits, this species was identified to be a new species of the genus Xenos, namely Xenosyangi Dong, Liu & Li, sp. nov. Detailed descriptions and illustrations are provided for the new species.
Ultra-short optical pulse source based on phase and intensity hybrid modulation

Ultra-short optical pulse sources with high repetition-rates are attractive for ultra-high speed optical time-division multiplexing fiber transmission systems. A phase and intensity hybrid modulation method using commercial LiNbO3 modulators was developed to reduce the cost of an ultra-short optical pulse source. A dispersion-compensating fiber was used for linear chirp compensation, and a comb-like dispersion profiled fiber for nonlinear compensation. After injection of the compressed pulse into a highly-nonlinear fiber, the pulse spectrum was broadened by self-phase modulation. An ultra-short optical pulse without any pedestal was generated after filtered with an optical band-pass filter (OBPF). A 1.2 ps Gaussian pulse and a 1.8 ps transformation- limited pulse were successfully obtained with OBPF bandwidth of 5 nm and 3 nm. Test results demonstrate that the pulse width is significantly influenced by the OBPF bandwidth.
Automated Instantiation of Control Flow Tracing Exercises

One of the first steps in learning how to program is reading and tracing existing code. In order to avoid the error-prone task of generating variations of a tracing exercise, our tool Tatsu generates instances of a given code skeleton automatically. This is achieved by a finite unwinding of the program in the style of bounded model checking and using the SMT solver Z3 to find models for this unwinded program.
Effects of Antarctic Krill Products on Feed Intake, Growth Performance, Fillet Quality, and Health in Salmonids

The interest for krill-based ingredients for aquaculture feed applications has increased steadily in recent years. For decades, there has been a heavy reliance on the limited sources of fishmeal and fish oil in the salmonid aquaculture industry. Further growth in farming of carnivorous fish is dependent on new feed resources becoming available. The only unexploited marine resources of significant biomass are found at lower trophic levels, of which the Antarctic krill (Euphausia superba) has a high potential. Apart from being the biggest single species biomass, Antarctic krill is also rich in nutrients, such as omega-3 polyunsaturated fatty acids, phospholipids, astaxanthin, vitamins, and minerals. This makes Antarctic krill a high-quality source of health-beneficial lipids and proteins. The present article provides an overview on the documented benefits of feeding salmonids (Atlantic salmon (Salmo salar) and rainbow trout (Oncorhynchus mykiss)) with krill products (krill meal, krill oil, and krill hydrolysate), focusing on growth performance (feed intake, growth rate, and feed conversion), fillet quality, slaughter yield, and health benefits in terms of reducing fat accumulation in liver and intestinal tissues. Besides, the article discusses possible future studies, to widen the knowledge on krill benefits in salmonids and to unravel the underlying mechanisms.
A Bibliometric Overview and Visualization of Fuzzy Sets and Systems between 2000 and 2018

ABSTRACT Fuzzy Sets and Systems (FSS) is an influential international journal of fuzzy research. This study provides a bibliometric overview of the publications of FSS from 2000 to 2018. The changes that occurred in the inner structure of this journal are captured by analyzing the bibliometric indicators of 4,348 publications published therein during the period under study. The time profile of this journal is outlined in terms of the number of publications, citations, h-index, category normalized citation impact (CNCI), and g-index. In addition, the most productive and influential authors, institutions, and countries are identified and analyzed. We visualize and illustrate the cocitations network of authors and links of FSS with other journals by estimating structural indicators using VOSviewer software. The emerging trends in themes of FSS are identified by detecting bursting keywords employing CiteSpace software. It is shown that FSS has strong bidirectional connections with other leading journals of fuzzy research. Over 95% of all documents published in FSS have been cited at least once. The annual values of the CNCI of the works published in FSS are found above unity. Regarding thematic diversity, the social and management sciences research constituted a large share in the documents citing articles published in FSS. The average citations were relatively higher for documents published under green Open Access mode in comparison to the paywall set. The results of the study are useful for understanding the knowledge domains of this journal and promising directions for future research in this field.
JUN Regulation of Injury-Induced Enhancers in Schwann Cells

Schwann cells play a critical role after peripheral nerve injury by clearing myelin debris, forming axon-guiding bands of Büngner, and remyelinating regenerating axons. Schwann cells undergo epigenomic remodeling to differentiate into a repair state that expresses unique genes, some of which are not expressed at other stages of Schwann cell development. We previously identified a set of enhancers that are activated in Schwann cells after nerve injury, and we determined whether these enhancers are preprogrammed into the Schwann cell epigenome as poised enhancers before injury. Poised enhancers share many attributes of active enhancers, such as open chromatin, but are marked by repressive histone H3 lysine 27 (H3K27) trimethylation rather than H3K27 acetylation. We find that most injury-induced enhancers are not marked as poised enhancers before injury indicating that injury-induced enhancers are not preprogrammed in the Schwann cell epigenome. Injury-induced enhancers are enriched with AP-1 binding motifs, and the c-JUN subunit of AP-1 had been shown to be critical to drive the transcriptional response of Schwann cells after injury. Using in vivo chromatin immunoprecipitation sequencing analysis in rat, we find that c-JUN binds to a subset of injury-induced enhancers. To test the role of specific injury-induced enhancers, we focused on c-JUN-binding enhancers upstream of the Sonic hedgehog (Shh) gene, which is only upregulated in repair Schwann cells compared with other stages of Schwann cell development. We used targeted deletions in male/female mice to show that the enhancers are required for robust induction of the Shh gene after injury. SIGNIFICANCE STATEMENT The proregenerative actions of Schwann cells after nerve injury depends on profound reprogramming of the epigenome. The repair state is directed by injury-induced transcription factors, like JUN, which is uniquely required after nerve injury. In this study, we test whether the injury program is preprogrammed into the epigenome as poised enhancers and define which enhancers bind JUN. Finally, we test the roles of these enhancers by performing clustered regularly interspaced short palindromic repeat (CRISPR)–mediated deletion of JUN-bound injury enhancers in the Sonic hedgehog gene. Although many long-range enhancers drive expression of Sonic hedgehog at different developmental stages of specific tissues, these studies identify an entirely new set of enhancers that are required for Sonic hedgehog induction in Schwann cells after injury.