Miracle-dz/UniFAR-FTUs huggingface dataset:
Applicability of On-Site Evaluation of Cervical Cytology Smears Stained with Toluidine Blue to Reduce Unsatisfactory Results

Introduction: Carcinoma of the uterine cervix is a major health problem faced by Indian women. Screening techniques like visual inspection with acetic acid, Lugol’s iodine, Papanicolaou smear, and human papillomavirus DNA testing have been suggested. Pap smear is a simple, safe, cost-effective, and reliable technique used for screening cervical lesions. Rapid on-site evaluation (ROSE) using the 1% aq. toluidine blue staining method has been less studied in cervical cytology. Materials and Methods: Our study was a prospective study done over a period of 2 years. All the cervical cytology smears were reported as per the Bethesda system 2014. Rapid stain using aqueous toluidine blue (1%) and conventional Pap stain was done on the smears received. Results: We evaluated a total of 1,300 cases, with 97.6% satisfactory samples. The spectrum of cases included 96.3% of negative for malignancy cases (including bacterial vaginosis, trichomonas, candida, and atrophic smears), atypical squamous cell of undetermined significance and atypical squamous cells cannot exclude high-grade squamous intraepithelial lesion in 0.5% cases, low-grade squamous intraepithelial lesion and high-grade intraepithelial lesion in 0.3% cases, squamous cell carcinoma in 0.3% cases, and atypical glandular cells/adenocarcinoma in 0.2% cases. Turnaround time was within 48 h in 77% cases. With rapid stain, our unsatisfactory rate was reduced from 12% to approx. 2.4%. Conclusion: ROSE has been attempted on routine FNA cytology samples with success. However, the use of ROSE in cervical cytology has not been attempted to date. Lower unsatisfactory rate is an important indicator for the successful implementation of cervical cancer screening technique.
Cooperated Spectral Low-Rankness Prior and Deep Spatial Prior for HSI Unsupervised Denoising

Model-driven methods and data-driven methods have been widely developed for hyperspectral image (HSI) denoising. However, there are pros and cons in both model-driven and data-driven methods. To address this issue, we develop a self-supervised HSI denoising method via integrating model-driven with data-driven strategy. The proposed framework simultaneously cooperates the spectral low-rankness prior and deep spatial prior (SLRP-DSP) for HSI self-supervised denoising. SLRP-DSP introduces the Tucker factorization via orthogonal basis and reduced factor, to capture the global spectral low-rankness prior in HSI. Besides, SLRP-DSP adopts a self-supervised way to learn the deep spatial prior. The proposed method doesn’t need a large number of clean HSIs as the label samples. Through the self-supervised learning, SLRP-DSP can adaptively adjust the deep spatial prior from self-spatial information for reduced spatial factor denoising. An alternating iterative optimization framework is developed to exploit the internal low-rankness prior of third-order tensors and the spatial feature extraction capacity of convolutional neural network. Compared with both existing model-driven methods and data-driven methods, experimental results manifest that the proposed SLRP-DSP outperforms on mixed noise removal in different noisy HSIs.
Biomechanical effect of intervertebral disc degeneration on the lower lumbar spine

Abstract Lumbar intervertebral disc degeneration can induce bone hyperplasia, lumbar intervertebral disc herniation and other diseases, is one of the causes of low back pain, which seriously affects people’s quality of life. And the causes of degeneration are very complex, so it is essential to understand the underlying mechanism of intervertebral disc degeneration and its influence. In this study, biomechanical effects of L4∼L5 lumbar degeneration with different degrees of degeneration were studied based on the numerical simulations. The three-dimensional finite element model of normal L2∼S1 lumbar vertebrae was established based on CT images of average adult male and verified. Several key parameters (intervertebral disc height, nucleus pulposus size, properties of different materials, etc.) of the model were modified to construct L4∼L5 models with different degrees of degeneration (grade 1, grade 2, grade 3, and grade 4). The range of motion (ROM), the intradiscal pressure of the nucleus, and the maximum Von Mises stress were determined by applying torques in different directions to simulate the four postures of flexion, extension, lateral bending, and axial rotation under compression load (500 N) to simulate the upper body weight of the human body. In different postures, with the increase of L4∼L5 degeneration degree, the ROM of the L4∼L5 degeneration segment showed a decreasing trend (Grade 4 had decrease of 41.9% to 65.2% compared to normal at different postures), while the ROM of its adjacent normal segments showed an increasing trend (L3∼L4: Grade 4 had increase of 21%–94% compared to normal at different postures; L5∼S1: Grade 4 had increase of 32%–66% compared to normal at different postures). With the increase in the degree of degeneration, nucleus pulposus pressure in the L4∼L5 degeneration segment decreased continuously under different postural conditions (Grade 4 had decrease of 25%–134.6% compared to normal at different postures), while the nucleus pulposus pressure in adjacent normal segments (L3∼L4 and L5∼S1) showed a gradually increasing trend. The maximum Von Mises stress of the three segments increased with the increasing degree of degeneration at different postures (L4∼L5: Grade 4 increased to 1.75 ∼ 4 times compared to normal at different postures). In four different models of lumbar disc degeneration, the adjacent normal segment of the disc compensates for the movement and loading pattern of the degenerated segment. At the same time, the load pattern inside the degenerated segment also changes.
Spinon Confinement in the One-Dimensional Ising-Like Antiferromagnet SrCo2V2O8

For quasi-one dimensional quantum spin systems theory predicts the occurrence of a confinement of spinon excitation due to interchain couplings. Here we investigate the system SrCo2V2O8, a realization of the weakly-coupled Ising-like XXZ antiferromagnetic chains, by terahertz spectroscopy with and without applied magnetic field. At low temperatures a series of excitations is observed, which split in a Zeeman-like fashion in an applied magnetic field. These magnetic excitations are identified as the theoretically predicted spinon-pair excitations. Using a one dimensional Schr\"odinger equation with a linear confinement potential imposed by weak interchain couplings, the hierarchy of the confined spinons can be fully described.
Ligustilide attenuates airway remodeling in COPD mice by covalently binding to MH2 domain of Smad3 in pulmonary epithelium, disrupting the Smad3‐SARA interaction

Airway remodeling is one of the hallmarks of chronic obstructive pulmonary disease (COPD) and is closely related to the dysregulation of epithelial‐mesenchymal transition (EMT). Smad3, an important transcriptional regulator responsible for transducing TGF‐β1 signals, is a promising target for EMT modulation. We found that ligustilide (Lig), a novel Smad3 covalent inhibitor, effectively inhibited airway remodeling in cigarette smoke (CS) combined with lipopolysaccharide (LPS)‐induced COPD mice. Oral administration of an alkynyl‐modified Lig probe was used to capture and trace target proteins in mouse lung tissue, revealing Smad3 in airway epithelium as a key target of Lig. Protein mass spectrometry and Smad3 mutation analysis via in‐gel imaging indicated that the epoxidized metabolite of Lig covalently binds to the MH2 domain of Smad3 at Cys331/337. This irreversible bonding destroys the interaction of Smad3‐SARA, prevents Smad3 phosphorylation activation, and subsequently suppresses the nuclear transfer of p‐Smad3, the EMT process, and collagen deposition in TGF‐β1‐stimulated BEAS‐2B cells and COPD mice. These findings provide experimental support that Lig attenuates COPD by repressing airway remodeling which is attributed to its suppression on the activation of EMT process in the airway epithelium via targeting Smad3 and inhibiting the recruitment of the Smad3‐SARA heterodimer in the TGF‐β1/Smad3 pathway.
Pediatric Reference Change Value Optimized for Acute Kidney Injury: Multicenter Retrospective Study in China

OBJECTIVES: The standard definition of pediatric acute kidney injury (AKI) is evolving, especially for critically ill in the PICU. We sought to validate the application of the Pediatric Reference Change Value Optimized for Acute Kidney Injury in Children (pROCK) criteria in critically ill children. DESIGN: Multicenter retrospective study. SETTING: Six PICUs in mainland China. PATIENTS: One thousand six hundred seventy-eight hospitalized children admitted to the PICU with at least two creatinine values within 7 days. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: AKI was diagnosed and staged according to the Pediatric Risk, Injury, Failure, Loss, End-Stage Renal Disease (pRIFLE), the Kidney Disease Improving Global Outcomes (KDIGO), and the pROCK criteria. Multiple clinical parameters were assessed and analyzed along with 90-day follow-up outcomes. According to the definitions of pRIFLE, KDIGO, and pROCK, the prevalence of AKI in our cohort of 1,678 cases was 52.8% (886), 39.0% (655), and 19.0% (318), respectively. The presence of AKI, as defined by pROCK, was associated with increased number of injured organs, occurrence of sepsis, use of mechanical ventilation, use of continuous renal replace therapy (p < 0.05), higher Pediatric Risk of Mortality III score, and higher Pediatric Logistic Organ Dysfunction-2 score (p < 0.001). The survival curve of 90-day outcomes showed that pROCK was associated with shorter survival time (LogRank p < 0.001), and pROCK definition was associated with better separation of the different stages of AKI from non-AKI (p < 0.001). CONCLUSIONS: In this retrospective analysis of AKI criteria in PICU admissions in China, pROCK is better correlated with severity and outcome of AKI. Hence, the pROCK criteria for AKI may have better utility in critically ill children.
PACNav: a collective navigation approach for UAV swarms deprived of communication and external localization

This article proposes Persistence Administered Collective Navigation (PACNav) as an approach for achieving the decentralized collective navigation of unmanned aerial vehicle (UAV) swarms. The technique is based on the flocking and collective navigation behavior observed in natural swarms, such as cattle herds, bird flocks, and even large groups of humans. As global and concurrent information of all swarm members is not available in natural swarms, these systems use local observations to achieve the desired behavior. Similarly, PACNav relies only on local observations of the relative positions of UAVs, making it suitable for large swarms deprived of communication capabilities and external localization systems. We introduce the novel concepts of path persistence and path similarity that allow each swarm member to analyze the motion of other members in order to determine its own future motion. PACNav is based on two main principles: (a) UAVs with little variation in motion direction have high path persistence, and are considered by other UAVs to be reliable leaders; (b) groups of UAVs that move in a similar direction have high path similarity, and such groups are assumed to contain a reliable leader. The proposed approach also embeds a reactive collision avoidance mechanism to avoid collisions with swarm members and environmental obstacles. This collision avoidance ensures safety while reducing deviations from the assigned path. Along with several simulated experiments, we present a real-world experiment in a natural forest, showcasing the validity and effectiveness of the proposed collective navigation approach in challenging environments. The source code is released as open-source, making it possible to replicate the obtained results and facilitate the continuation of research by the community.
Fast evaluation of theoretical uncertainties with Sherpa and MCgrid

The determination of theoretical error estimates and PDF/αs-fits require fast evaluations of differential cross sections for varied QCD input parameters. These include PDFs, the strong coupling constant αS and the renormalisation and factorisation scales. Beyond leading order QCD, a full dedicated calculation for each set of parameters is often too time-consuming, certainly when performing PDF-fits. We report on two methods to overcome this issue for any QCD NLO calculation: The novel event-reweighting feature in SHERPA and the automated generation of interpolation grids using the recently introduced MCGRID interface. For MCGRID we present the newly added support for FASTNLO tables and highlight some future developments.
Estimating the impact of drug addiction causes heart damage

Abstract To date, few studies have investigated the toxicological effects of the combined use of amphetamine and heroin in the heart. Hence, the aim of this study was to identify indicators for clinical evaluation and prevention of cardiac injury induced by the combined use of amphetamine and heroin. Four different groups were analyzed: (1) normal group (n＝25；average age＝35 ± 6.8); (2) heart disease group (n＝25；average age＝58 ± 17.2); (3) drug abusers (n = 27; average age = 37 ± 7.7); (4) drug abstainers (previous amphetamine-heroin users who had been drug-free for more than two weeks; n = 22; average age = 35 ± 5.6). The activity of MMPs, and levels of TNF-α, IL-6, GH, IGF-I, and several serum biomarkers were examined to evaluate the impact of drug abuse on the heart. The selected plasma biomarkers and classic cardiac biomarkers were significantly increased compared to the normal group. The zymography data showed the changes in cardiac-remodeling enzymes MMP-9 and MMP-2 among combined users of amphetamine and heroin. The levels of TNF-α and IL-6 only increased in the heart disease group. Growth hormone was increased; however, IGF-I level decreased with drug abuse and the level was not restored by abstinence. We speculated that the amphetamine-heroin users might pose risk to initiate heart disease even though the users abstained for more than two weeks. The activity change of MMP-9 and MMP-2 can be a direct reason affecting heart function. The indirect reason may be related to liver damage by drug abuse reduce IGF-1 production to protect heart function.
Psychophysics: The Fundamentals

Contents: Preface. Psychophysical Measurement of Thresholds: Differential Sensitivity. Psychophysical Measurement of Thresholds: Absolute Sensitivity. The Classical Psychophysical Methods. Classical Psychophysical Theory. The Theory of Signal Detection. Further Considerations of TSD. Procedures of TSD. Some Applications of TSD. The Measurement of Sensory Attributes and Discrimination Scales. Partition Scales. Psychophysical Ration Scaling. Evaluation of Ratio Scaling Methods. The Psychophysical Law. Some Fundamental Issues in Psychophysical Scaling.
Factors associated with suboptimal retention in HIV pre-exposure prophylaxis care among men who have sex with men

ABSTRACT Despite the efficacy of HIV pre-exposure prophylaxis (PrEP), retention in care in the United States remains suboptimal. The goal of this study was to explore factors that lead to suboptimal retention in PrEP care for men who have sex with men (MSM) in real-world clinical settings in the United States. Trained interviewers conducted semi-structured interviews with MSM (N = 49) from three clinics who had been engaged in PrEP care in the Midwest (n = 15), South (n = 15), and Northeast (n = 19) geographic regions and had experienced a lapse in PrEP use. Factors that emerged as related to suboptimal retention in PrEP care included structural factors such as transportation and out-of-pocket costs; social factors such as misinformation on media and in personal networks; clinical factors such as frequency and timing of appointments; and behavioral factors such as changes in sexual behavior and low perceived risk for HIV. Participants suggested reducing the out-of-pocket costs of medications and lab visits, having flexible appointment times, culturally responsive services, and comprehensive patient navigation to help retention in care. These findings leveraged real-world experiences and opinions of patients to inform gaps in current services and how to make changes to optimize PrEP care.
From antenna to reaction center: Pathways of ultrafast energy and charge transfer in photosystem II

Significance The photosystem II core complex (PSII-CC) is a photosynthetic complex that contains antenna proteins, which collect energy from sunlight, and a reaction center, which converts the collected energy to redox potential. Understanding the interplay between the antenna proteins and the reaction center will facilitate the development of more efficient solar energy conversion technologies. Here, we study the sub-100-ps dynamics of PSII-CC with two-dimensional electronic-vibrational spectroscopy, which connects energy flows with physical space, allowing a direct mapping of energy transfer pathways. Our results reveal a complex dynamical scheme which includes a specific pathway that connects CP43 to the reaction center. Resolving this pathway experimentally provides insights into the energy conversion processes in natural photosynthesis.
IEEE VAST Challenge 2021 Winner: Visual Analytics for Spatial–Temporal Situation Awareness

IEEE VAST Challenge 2021 provides fruitful data to test the visual analytics capability of participants. We summarize our work in this article. Trajectory data and consumption data contain a lot of information, such as consumption patterns, behavior characteristics, and so on. The information can provide favorable clues for law enforcement departments to crack a case about missing employees. We designed a visual analytics system called Sundial for spatio–temporal situation awareness with multidata fusion. It contains three views, that is, consumption view, temporal behavior view, and spatial–temporal map. With the system, analysts can effectively identify the consumption and behavior patterns of employees, and detect the suspicious activities and informal or formal relationships. Through case analysis, we illustrated how to use the system and obtain effective information.
ALMA view of the Galactic Center 50km/s molecular cloud

Abstract We have observed the Galactic Center 50km/s molecular cloud (50MC) with ALMA to search for filamentary structures. In the CS J=2-1 emission line channel maps, we succeeded in identifying 27 molecular cloud filaments using the DisPerSE algorithm. This is the first attempt of filament-finding in the Galactic Center Region. These molecular cloud filaments strongly suggest that the molecular cloud filaments are also ubiquitous in the molecular clouds of the Galactic Center Region.
Ab initio study of bilateral doping within the MoS2-NbS2 system

We present a systematic study on the stability and the structural and electronic properties of mixed molybdenum-niobium disulphides. Using density-functional theory we investigate bilateral doping with up to 25% of MoS2 NbS2 by Nb Mo atoms focusing on the precise arrangement of dopants within the host lattices. We find that over the whole range of considered concentrations, Nb doping of MoS2 occurs through a substitutional mechanism. For Mo in NbS2 both interstitial and substitutional dopings can coexist depending upon the particular synthesis conditions. The analysis of the structural and electronic modifications of the perfect bulk systems due to the doping is presented. We show that substitutional Nb atoms introduce electron holes to the MoS2 leading to a semiconductor-metal transition. On the other hand, the Mo doping of NbS2 does not alter the metallic behavior of the initial system. The results of the present study are compared with available experimental data on mixed MoS2-NbS2 bulk and nanoparticles.
Decline of insects and arachnids driven by nutrient enrichment: A meta‐analysis

Abstract Recent studies have documented global declines in insects and their relatives, but the exact mechanisms explaining these patterns are not fully understood. A potential driver underlying arthropod population declines is increases in anthropogenic inputs of nitrogen (N) and phosphorus (P). Here, we synthesize the effects of N, P, and combined N + P enrichment on the abundance of hexapods (insects and collembola) and arachnids from 901 experiments reported in 84 studies. We found that N and combined N + P enrichment caused significant decreases in the abundance of these groups overall. While arthropod responses to nutrient enrichment across aquatic and terrestrial habitats and in temperate as well as tropical climatic zones differed in magnitude, our results suggest that arthropods are decreasing similarly in response to nitrogen and phosphorus enrichment. Further, despite previously shown differences in the nutrient demands of different insect metamorphosis groups, we found consistent negative effects of N + P enrichment on all groups. Our results also showed that the negative effects of nutrient additions are stronger for aquatic insects that are considered more sensitive to changes in physical–chemical parameters in their environments, Ephemeroptera, Plecoptera, and Trichoptera (EPT), compared with other aquatic insects. In addition, N + P enrichment reduced the abundance of above‐ground and below‐ground arthropods, suggesting that a similar mechanism driving arthropod community change is acting on both groups. These findings suggest that changes in elemental cycles are a potential cause of the ongoing global decline of arthropods and underscore the serious effects of nutrient enrichment on ecological systems.
MEASURING EJECTA VELOCITY IMPROVES TYPE Ia SUPERNOVA DISTANCES

We use a sample of 121 spectroscopically normal Type Ia supernovae (SNe Ia) to show that their intrinsic color is correlated with their ejecta velocity, as measured from the blueshift of the Si ii λ6355 feature near maximum brightness, vSi ii. The SN Ia sample was originally used by Wang et al. to show that the relationship between color excess and peak magnitude, which in the absence of intrinsic color differences describes a reddening law, was different for two subsamples split by vSi ii (defined as “Normal” and “High Velocity”). We verify this result, but find that the two subsamples have the same reddening law when extremely reddened events (E(B − V)>0.35 mag) are excluded. We also show that (1) the High-Velocity subsample is offset by ∼0.06 mag to the red from the Normal subsample in the (Bmax − Vmax)–MV plane, (2) the Bmax − Vmax cumulative distribution functions of the two subsamples have nearly identical shapes, but the High-Velocity subsample is offset by ∼0.07 mag to the red in Bmax − Vmax, and (3) the bluest High-Velocity SNe Ia are ∼0.10 mag redder than the bluest Normal SNe Ia. Together, this evidence indicates a difference in intrinsic color for the subsamples. Accounting for this intrinsic color difference reduces the scatter in Hubble residuals from 0.190 mag to 0.130 mag for SNe Ia with AV ≲ 0.7 mag. The scatter can be further reduced to 0.109 mag by exclusively using SNe Ia from the Normal subsample. Additionally, this result can at least partially explain the anomalously low values of RV found in large SN Ia samples. We explain the correlation between ejecta velocity and color as increased line blanketing in the High-Velocity SNe Ia, causing them to become redder. We discuss some implications of this result, and stress the importance of spectroscopy for future SN Ia cosmology surveys, with particular focus on the design of WFIRST.