Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatio‐temporal dynamics of the common skate species complex: Evidence of increasing abundance

The critically endangered common skate species complex is a large‐bodied and long‐lived batoid, which has experienced local extirpations and population declines over the past century mainly due to overfishing. Due to its decline, fisheries management measures were introduced to prevent further decline and fragmentation of populations. For example, in 2009, a landings prohibition was introduced in the European Union, which banned the retention of common skate onboard commercial fishing vessels with captured individuals to be discarded. We aimed to explore the spatial and temporal population dynamics of the common skate species complex, against the backdrop of changes in fisheries management measures.
Lagrangian analysis and quantum mechanics : a mathematical structure related to asymptotic expansions and the Maslov index

This work might have been entitled "The Introduction of Planck's Constant into Mathematics, "in that it introduces quantum conditions in a purely mathematical way in order to remove the singularities that arise in obtaining approximations to solutions of complex differential equations.The book's first chapter develops the necessary mathematical apparatus: Fourier transforms, metaplectic and symplectic groups, the Maslov index, and lagrangian varieties. The second chapter orders Maslov's conceptions in a manner that avoids contraditions and creates step by step an essentially new structure-the lagrangian ayalysis.Unexpectedly and strangely the last step requires the datum of a constant, which in applications to quantum mechanics is identified with Planck's constant. The final two chapters apply lagrangian analysis directly to the Schrodinger, the Klein-Gordon, and the Dirac equations. Magnetic field effects and even the Paschen-Back effect are taken into account.Jean Leray-who has been professor at the College de France for the past thirty years-has made fundamental contributions to theoretical hydrodynamics, to the study of elliptic, hyperbolic, and analytic linear and nonlinear equations, and to algebraic topology and its applications to analysis. His motivations always had their origin in physical problems, except during World War II: As a prisoner of war in Germany for five years, he concealed his interest in mathematical applications by making fruitful investigations in the field of pure algebraic topology.
Different Strategies to Attenuate the Toxic Effects of Zinc Oxide Nanoparticles on Spermatogonia Cells

Zinc oxide nanoparticles (ZnO NPs) are one of the most used nanoparticles due to their unique physicochemical and biological properties. There is, however, a growing concern about their negative impact on male reproductive health. Therefore, in the present study, two different strategies were used to evaluate the recovery ability of spermatogonia cells from the first stage of spermatogenesis (GC-1 spg cell line) after being exposed to a cytotoxic concentration of ZnO NPs (20 µg/mL) for two different short time periods, 6 and 12 h. The first strategy was to let the GC-1 cells recover after ZnO NPs exposure in a ZnO NPs-free medium for 4 days. At this phase, cell viability assays were performed to evaluate whether this period was long enough to allow for cell recovery. Exposure to ZnO NPs for 6 h and 12 h induced a decrease in viability of 25% and 41%, respectively. However, the recovery period allowed for an increase in cell viability from 16% to 25% to values as high as 91% and 84%. These results strongly suggest that GC-1 cells recover, but not completely, given that the cell viability does not reach 100%. Additionally, the impact of a synthetic chalcone (E)-3-(2,6-dichlorophenyl)-1-(2-hydroxyphenyl)prop-2-en-1-one (1) to counteract the reproductive toxicity of ZnO NPs was investigated. Different concentrations of chalcone 1 (0–12.5 µM) were used before and during exposure of GC-1 cells to ZnO NPs to mitigate the damage induced by NPs. The protective ability of this compound was evaluated through viability assays, levels of DNA damage, and cytoskeleton dynamics (evaluating the acetylated α-tubulin and β-actin protein levels). The results indicated that the tested concentrations of chalcone 1 can attenuate the genotoxicity induced by ZnO NPs for shorter exposure periods (6 h). Chalcone 1 supplementation also increased cell viability and stabilized the microtubules. However, the antioxidant potential of this compound remains to be elucidated. In conclusion, this work addressed the main cytotoxic effects of ZnO NPs on a spermatogonia cell line and analyzed two different strategies to mitigate this damage, which represent a significant contribution to the field of male fertility.
Preparation of aripiprazole-poly(methyl vinyl ether-co-maleic anhydride) nanocomposites via supercritical antisolvent process for improved antidepression therapy

Abstract Aripiprazole (ARI), a second-generation atypical antipsychotic drug approved for schizophrenia treatment, shows good efficacy against depression. However, the poorly aqueous solubility of ARI leads to low bioavailability and increased dose-related side effects, seriously limiting its application in pharmaceutics. Herein, we demonstrated the fabrication of ARI and poly (methyl vinyl ether-co-maleic anhydride) (PVMMA) composite nanoparticles (PA NPs) using the supercritical antisolvent (SAS) process for enhancing its water-solubility and curative anti-depressant effects. Initially, the optimal experimental conditions (ARI/PVMMA mass ratio of 1:6, pressure of 10 MPa, and solution flow rate of 0.75 ml min−1) were determined by a 23 factorial experimental design, resulting in the PA NPs with an excellent particle morphology. In vitro cell experiments showed that PA NPs significantly inhibited the inflammatory response caused by the microglia activation induced by lipopolysaccharide (LPS). Similarly, mice behavioral tests demonstrated that PA NPs significantly improved LPS-induced depression-like behavior. Importantly, compared with free ARI, the LPS-induced activation of microglia in the mouse brain and the expression of inflammatory factors in serum were significantly reduced after treatment with PA NPs. Together, the innovative PA NPs designed by SAS process might provide a candidate for developing new ARI-based nano-formulations.
Free-ranging dogs (Canis familiaris) in Lithuania: their distribution and impact on wildlife

The dog (Canis familiaris) is one of the most common predators in the world with a population of about 900 million, which continues to grow. Only 20% of the world population of dogs are considered pets. There are irresponsibly cared, free-roaming, or completely homeless individual dogs or their groups in the natural environment of Lithuania. The paper represents a study into the distribution of free-ranging dogs in the hunting areas of Lithuania and their impact on wild fauna. A telephone survey was conducted between 2019 and 2022 to find out the location of free-ranging dogs and their contact with wildlife between 2017 and 2021. Six-hundred-and-eighty users of hunting area units agreed to participate in the survey. In places where dogs were frequent, scats were collected and analysed. The conducted survey showed that in 361 hunting area units, the respondents observed free-ranging dogs at least once during the last five years, which makes 39.5% of all hunting area units in Lithuania. The dogs were observed in groups of 2–5 individuals that usually were larger than 15 kg. Free-ranging dogs interact with animals in the environment, the highest proportion of contacts (51.4%) is with roe deer (Capreolus capreolus); 35.4% of those contacts resulted in the death of roe deer. Plant residues were detected in 92% samples of scats, but roe deer residues accounted for the highest biomass consumption (49%).
Vision-Inspired Filtering Algorithm for SAR Ship Detection Based on Generative Adversarial Networks

Ship detection in synthetic aperture radar (SAR) images has been widely applied in the military and civil fields. However, the background environment of SAR images is complex and there are many interferences similar to the ship targets, which is easy to lead fault detection and affect the detection performance. To address this problem, a vision-inspired filtering algorithm (FilterGAN) is proposed to filter out the target-irrelevant information. First, we build a representation model based on filtering mechanism of human brain to guide the design of filtering network. Second, to simulate the adjustment process of the priority map reconstruction in human brain, generative adversarial networks (GAN) are used to learn the optimal filtering mapping function. To train FilterGAN, we introduce the labeling process to generate the ground-truth filtered SAR image. Experimental results on AIR-SARShip-1.0 dataset demonstrate that the detection performance of SAR ships can be improved obviously with FilterGAN.
QCD thermodynamics with O(a) improved Wilson fermions at $N_f=2$

We present an update of our study of the phase diagram of two-flavour QCD at zero baryon density with dynamical $O(a)$ improved Wilson quarks. All simulations are done on lattices with a temporal extent of $N_t=16$ and spatial extent $L=32,48$ and 64, ensuring that discretisation effects are small and finite size effects can be controlled. In the approach to the chiral limit we currently have three scans with pion masses between 540 and 200 MeV. In this proceedings article the focus is on the new scan at $m_\pi=200$ MeV and the measurement of screening masses. We also present first results concerning a test of scaling in the approach to the chiral limit and the chiral extrapolation of the difference of screening masses in scalar and pseudoscalar channels, which provides a measure for the strength of the anomalous breaking of the $U_A(1)$ symmetry.
Vers une saisie en un seul clic : caractérisation de la forme 3D d'un objet à partir d'informations visuelles. Towards a one click grasping tool : vision based 3D shape description.

In this paper, we consider an automatic vision-based grasp of unknown objects. Following [1], a new method is proposed to improve the evaluation of shape and pose of the target. This method is based on volumetric reconstruction of the scene, used to estimate main axis and dimensions of the object to grasp. Our implementation of volumetric reconstruction algorithm is less time-consuming than classical methods, while preserving the object global shape.
The Nutritional Content of Egg and Blood’s Lipid Profile of Layer Fed by Kepok Banana Meal (Musa paradisiaca L.) as Feed Supplement

This study was aimed to evaluate the nutritional of content of egg and the fat profile of layers by feeding of kepok Banana flour (Musa paradisiaca formantypica) as feed supplement. A total of 200 laying 58-week-old hens were used in the study, with 5 treatments and 5 replications, each of which was filled with 8 chickens. The treatments were applied in a completely randomized design, continued with Duncan’s test. The treatments given by kepok banana flour were 0%, 5%, 10%, 15% and 20% substitution of corn flour. This research was conducted for 8 weeks. The parameters measure included egg crude protein (%), egg crude fat (%), egg white crude protein (%), egg yellow fat (%), egg cholesterol (mg/100 g), blood cholesterol (mg/dl), blood LDL cholesterol (mg/dl), and blood HDL cholesterol (mg/dl) of the laying hens. The results showed that the utilization of kepok banana flour up to 20% substitution of yellow corn had a highly significant effect on egg protein content, egg white protein, egg fat content, egg cholesterol content, chicken blood cholesterol, chicken blood HDL, chicken blood LDL and triglycerides of chicken blood. It was concluded that kepok banana flour substitution of up to 20% as a feed source can increase the nutritional content of chicken eggs and the fat profile of laying hens.
PaWLA: PPG-based Weight Lifting Assessment

Physical activity (PA) plays a crucial role in leading a healthy life without chronic diseases. Among various PAs, weight lifting, one of the essential stationary exercises, is an integral part of routine workout sessions. Being aware of the intensity of the performed exercise is also an essential factor in keeping track of the workout. Inspired by this, we propose a low-cost quantitative weight lifting assessment system, PaWLA, leveraging only a single Photoplethysmography (PPG) sensor. Particularly, we design PaWLA as a mobile weight recognition system that can classify the user’s lifted weight into its corresponding label based on PPG sensor readings from the wrist region. The changes in blood volume in the radial artery due to the strain of lifting the weight are exploited via PPG sensor readings in this work. We build our custom hardware prototype using COTS components to prove the system’s feasibility. Evaluation of the system with nine volunteers shows that PaWLA can achieve an average F1 score of up to 97.4%, proving the feasibility and efficiency of the proposed method.
Are Most Particles Gravitons

The number of baryons in the observable universe is of the order of 10 80 , as is the number of electrons. The number of photons is about nine orders of magnitude greater, 10 89 , as is the estimated number of neutrinos. However, the number of gravitons could be more than twenty orders of magnitude larger yet, of the order of 10 113 r, where r is the tensor-to-scalar ratio for quantum
Utility of Endoscopic Ultrasound-Guided Fine-Needle Aspiration and Biopsy for Histological Diagnosis of Type 2 Autoimmune Pancreatitis

In Japan, type 1 autoimmune pancreatitis (AIP) is the most common type of AIP; type 2 AIP is rare. The aim of this study was to clarify the usefulness of endoscopic ultrasound-guided fine-needle aspiration and biopsy (EUS-FNAB) for the diagnosis of type 2 AIP. We analyzed the tissue specimens of 10 patients with suspected type 2 AIP who underwent EUS-FNAB at our hospital between April 2009 and March 2021 for tissue volume and histopathological diagnostic performance. The male-to-female ratio of the patients was 8:2, and the patient age (mean ± standard deviation) was 35.6 ± 15.5 years. EUS-FNAB provided sufficient tissue volume, with high-power field >10 in eight patients (80.0%). Based on the International Consensus Diagnostic Criteria (ICDC), four patients (40.0%) had histological findings corresponding to ICDC level 1, and five patients (50.0%) had histological findings corresponding to ICDC level 2. The results of this study show that EUS-FNB can be considered an alternative method to resection and core-needle biopsy for the collection of tissue samples of type 2 AIP.
Green Synthesis of Selenium Nanoparticles Using Cleistocalyx operculatus Leaf Extract and Their Acute Oral Toxicity Study

Green synthesis has recently attracted extensive attention from scientists all over the world for the production of metal nanoparticles. Selenium nanoparticles (Se NPs) have been demonstrated as a suitable supplement nutrient for the replacement of selenium ions in terms of safety and efficiency. This work presented a friendly and facile approach to synthesize the Se NPs using polyphenols content in the Cleistocalyx operculatus (CO) leaves extract. The synthesizing conditions were optimized to obtain the Se NPs with uniform distribution and shape. The prepared Se NPs were well-characterized using scanning electron microscopy, X-ray diffraction, energy diffractive spectroscopy, and Fourier-transform infrared spectroscopy. The resultant Se NPs were in spherical shape with the particle size in a range from 50–200 nm. The antimicrobial properties of Se NPs were investigated against Echerichia coli and Staphylococcus aureus, which showed reasonable activity. The acute oral toxicity of Se NPs in mice was also studied. The result indicated that Se NPs exhibited lower toxicity than that of SeO2 with the lethal concentration (50% death of mice) of 7.75 mg kg−1.
Entanglement entropy of quantum wire junctions

We consider a fermion gas on a star graph modeling a quantum wire junction and derive the entanglement entropy of one edge with respect to the rest of the junction. The gas is free in the bulk of the graph, the interaction being localized in its vertex and described by a non-trivial scattering matrix. We discuss all point-like interactions, which lead to a unitary time evolution of the system. We show that for a finite number of particles N, the Rényi entanglement entropies of one edge grow as ln N with a calculable prefactor, which depends not only on the central charge, but also on the total transmission probability from the considered edge to the rest of the graph. This result is extended to the case with a harmonic potential in the bulk.
Recognition of typical driving stressors and driver stress level in a Chinese sample

Abstract Drivers are adversely affected in decision-making and behavior under excessive stress, thus increasing road crash risks. In this study, the Driver Stress Inventory (DSI) was used to identify typical driving stress scenarios and explore the characteristics of drivers among different stress levels. A total of 1881 drivers took part in the survey. The Precedence Chart was used to rank the importance of driving stressors involved in the scale. K-means cluster was adopted to classify drivers’ stress into three levels, namely low, medium and high-stress. Finally, the Kruskal-Wallis test and Mantel-Haenszel test were employed to analyze the similarities and differences of demographic statistical characteristics under different stress levels. The results of the study indicate that various unexpected scenarios caused by the abnormal behavior of other road users are the most typical stressors. Drivers in the high-stress group tended to be younger and less experienced. Professional drivers reported higher stress than nonprofessional drivers. In addition, high-stress drivers were more prone to be involved in traffic crashes.
Research on Domain-Specific Knowledge Graph Based on the RoBERTa-wwm-ext Pretraining Model

The purpose of this study is to solve the effective way of domain-specific knowledge graph construction from information to knowledge. We propose the deep learning algorithm to extract entities and relationship from open-source intelligence by the RoBERTa-wwm-ext pretraining model and a knowledge fusion framework based on the longest common attribute entity alignment technology and bring in different text similarity algorithms and classification algorithms for verification. The experimental research showed that the named entity recognition model using the RoBERTa-wwm-ext pretrained model achieves the best results in terms of recall rate and F1 value, first, and the F value of RoBERTa-wwm-ext + BiLSTM + CRF reached up to 83.07%. Second, the RoBERTa-wwm-ext relationship extraction model has achieved the best results; compared with the relation extraction model based on recurrent neural network, it is improved by about 20%∼30%. Finally, the entity alignment algorithm based on the attribute similarity of the longest common subsequence has achieved the best results on the whole. The findings of this study provide an effective way to complete knowledge graph construction in domain-specific texts. The research serves as a first step for future research, for example, domain-specific intelligent Q&A.
Long-Term Study on the Impact of Depth of Discharge, C-Rate, Voltage, andTemperature on the Lifetime of Single-Crystal NMC811/Artificial Graphite PouchCells

This work examined the impact of depth of discharge (DOD), C-rate, upper cut-off voltage (UCV), and temperature on the lifetime of single-crystal NMC811/Artificial Graphite (AG) cells. Cells were cycled at C/50, C/10, C/5, or C/3, and 25, 50, 75, or 100% DOD at room temperature (RT, 20. ± 2°C) or 40.0 ± 0.1°C. The UCVs were 4.06 or 4.20 V. After 12000 hours of cycling, experiments such as electrochemical impedance spectroscopy, Li-ion differential thermal analysis (DTA), ultrasonic mapping, X-ray fluorescence, differential capacity analysis, synchrotron computed tomography (CT) scans, and cross-section scanning electron microscopy (SEM) were carried out. We showed that capacity loss increased slightly with DOD and C-rate, and that cells with 4.06 V UCV have superior capacity retention and impedance control compared to 4.20 V. SEM, CT scans, and differential capacity analysis show that microcracking and positive electrode mass loss did not occur regardless of DOD, C-rate, or UCV. DTA and ultrasonic mapping showed no C-rate or DOD dependency for electrolyte changes or “unwetting. ” A simple square-root time model was used to model SEI growth in 4.06 V UCV cells, and a cell design with impressive performance is demonstrated.
An empirical examination on the links of cross-functional integration of production-marketing, BTO competitiveness and performance

PurposeThis paper is to explore how cross-functional integration (CFI) of production-marketing can impact the firm's build-to-order (BTO) competitiveness, marketing performance (MP) and financial performance (FP). Design/methodology/approachEmpirical study with the structural equation modeling approach is applied. Six hypotheses are constructed and tested based on survey data collected from Chinese manufacturing firms.FindingsThe survey data supports that production-marketing integration (PMI) improves BTO competitiveness (BTOC) and MP and that BTOC also positively affects marketing outcome which, in turn, impacts a firm's FP. The results reveal that CFI of production-marketing is an effective approach for achieving the BTO manufacturing strategy and can improve organizational performance.Originality/valueThe paper uncovers the role of CFI of production-marketing in BTO manufacturing strategy and its impacts on a firm's MP and FP and provides important managerial implications for practitioners to improve organizational time-based competitiveness and performance in today's time-based competition era.
The role of CCR6 rs 3093024 in Rheumatoid Arthritis patients in Iraq

Rheumatoid arthritis (RA) is a chronic auto immune and inflammatory disease of obscure etiology. But the emergence of disease is mostly influenced by genetic, immunological, and environmental factors. This study was investigated the polymorphisms of SNP (rs3093024) of CCR6 gene and its association with susceptibility to RA, serum level of the chemokine CCR6 also were investigated to determine its association with RA disease. Accordingly, a case-control analysis was carried out on 60 patients with RA and 30 healthy control. The ELISA result indicated that the CCR6 mean was increased highly significant in the serum of RA patient than the serum level of control (299.19 ± 17.12 versus 149.52 ± 5.36pg/ml, p=0.0001**). For CCR6 rs3093024 A>G logistic regression analysis result revealed that both of the alleles (A and G) and genotypes (AA, AG and GG) was not associated with susceptibility to RA in the present sample of Iraqi patients.
Geometric analysis of a reaction-diffusion equation with nonlocal inhibition

V Approximation of the-Connecting O rb its . Dynamics of the Inertial Forms . Numerical Computation of Connecting Orbits Regions Ri and R 2 . Region R3 . Region R ^ . '. Region R5 . Region R6 . 6. C O N C LU D IN G R EM A R K S . R E FE R E N C E S CITED . 69;. 70 74 77 78 80 80 87 89 91
On the least positive eigenvalue of the Laplacian for the compact quotient of a certain Riemannian symmetric space

Let (, g) be the standard Euclidean space or a Riemannian symmetric space of non-compact type of rank one. Let G be the identity component of the Lie group of all isometries of (, g). Let Γ be a discrete subgroup of G acting fixed point freely on whose quotient manifold MΓ is compact.