Miracle-dz/UniFAR-FTUs huggingface dataset:
Optic Flow and Tunnel Vision in the Detection Response Task

Objective: In a driving simulator, a backwards counting task, a simple steering task, and a fully autonomous driving task were applied to study the independent effects of cognitive load, visual-cognitive-manual load, and optic flow on visual detection response task (vDRT) performance. The study was designed to increase the understanding of the processes underlying vDRT effects. Background: The tunnel vision effect induced by a “steering while driving” task found in a previous study was investigated further in this experiment. Method: Stimulus eccentricity and conspicuity were applied as within-subjects factors. Results: Cognitive load, visual-cognitive-manual load, and optic flow all resulted in increased vDRT response time (RT). Cognitive load and visual-cognitive-manual load both increased RT but revealed no interaction of task by stimulus eccentricity. However, optic flow resulted in a task by stimulus eccentricity interaction on vDRT RT that was evidence of a tunnel vision effect. Conclusion: The results suggested that optic flow may be a factor responsible for tunnel vision while driving, although this does not support the tunnel vision model because it is unrelated to workload. However, the results supported the general interference model for cognitive workload. Application: The results have implications for the diagnosticity of the vDRT. During driving tasks, tunnel vision effects may occur as a result of optic flow, and these effects are unrelated to workload.
Collisions of small drops in a turbulent flow

Abstract Swept volumes of cloud droplets with radii below 20 μm are calculated under conditions typical of atmospheric cloud turbulence characterized by enormous values of Reynolds numbers, high turbulent intermittency, and characteristic values of the dissipation rate. To perform the calculations, the motion equation for small droplets proposed by Maxey is generalized for Stokes numbers St > 0.1, which allows one to simulate relative droplet motion even for very high turbulence intensities typical of deep cumulus clouds. Analytical considerations show that droplet motion is fully determined by turbulent shears and the Lagrangian accelerations. A new statistical representation of a turbulent flow has been proposed based on the results of the scale analysis of turbulence characteristics and those related to the droplet motion. According to the method proposed, statistical properties of turbulent flow are represented by a set of noncorrelated samples of turbulent shears and Lagrangian accelerations. Each sa.
Post-Kidney Transplantation Results After Circulatory or Brain Death Without Pre-Mortem Heparin Administration

Background Kidney donation after circulatory death (DCD) follows confirmation of death using cardiorespiratory criteria, while donation after brain death (DBD) uses neurological criteria. DBD and DCD donors are the main sources of grafts for transplantation. This retrospective cohort study from a single center in the Czech Republic aimed to compare 5-year post-transplantation outcomes after DCD and DBD transplantation without pre-mortem heparin administration. Material/Methods A total of 227 recipients with matched donors enrolled in the transplantation program at our institution between 2015 and 2019 were analyzed. Following the application of the inclusion criteria, 99 recipients and 94 matched donors were finally included in the study. Results The duration of cold ischemia (median 961 vs 1100 min, P=0.028) and the perfusion with the preservation solution (median 11 vs 22 min, P<0.001) was statistically significantly shorter in DBD than in DCD grafts. The 1-year survival rates were 97.5% (95% CI 94.1–100.0%) and 90.0% (95% CI: 77.8–100.0%) for DBD and DCD recipients, respectively. The 3-year survival rates were 91.9 (95% CI: 86.0–98.4) and 90.0 (95% CI: 77.8–100.0) for the DBD and DCD groups, respectively. The overall difference in survival between the 2 groups of patients was not statistically significant (P=0.750) nor was disease-free survival (P=0.370). Conclusions This retrospective study from a single center showed similar 5-year results after kidney transplantation for DCD and DBD donors without pre-mortem heparin administration, including the time to graft failure and patient survival.
“The Perfect Aryan Housewife”: Intersection of Extremist Violence and Violence Against Women

Despite rhetoric on the association between violence against women and extremist violence, little empirical work has examined the intersection of these forms of violence. Relying on open-source data from the Extremist Crime Database, we examine how these forms of violence intersect in terms of a strained dominant masculinity. Among the 54 extremist offenders with documented histories of violence against women, extremist offenders committed familicides (n = 23), or violence against women as a precursor to extremist violence (n = 25). For a small minority of offenders (n = 6), these forms of violence intersected in a form of settling scores against women and minoritized groups.
Detection of the forbidden O III lambda 5007 emission line in the Galactic background

A search for (O III) lambda5007 in the Galactic background was carried out in three directions with the Wisconsin 15 cm Fabry-Perot spectrometer. The (O III) line was detected in two directions in the Galactic plane with an intensity of 2 x 10/sup -7/ ergs cm/sup -2/ s/sup -1/ sr/sup -1/, which is approximately 0.06 the background H.cap alpha. intensity. An upper limit of 5 x 10/sup -8/ ergs cm/sup -2/ s/sup -1/ sr/sup -1/ has been placed on the (O III) lambda5007 intensity in a high-latitude (b = -30/sup 0/) direction. Although the source of this very faint (O III) emission is not yet known, these observations place important constraints on the origin of the warm (approx.10/sup 4/ K), ionized component of the diffuse interstellar medium and on the amount of higher temperature (approx.10/sup 5/ K) gas that may be present.
A Cross-Platform HD Dataset and a Two-Step Framework for Robust Aerial Image Matching

Image matching has been an active research area in the computer vision community over the past decades. Significant advances in image matching algorithms have attracted attention from many emerging applications. However, aerial image matching remains demanding due to the variety of airborne platforms and onboard electro-optic sensors, long operational ranges, limited datasets and resources, and constrained operating environments. We present two contributions in this work to overcome these challenges: a) an upgraded cross-platform image dataset built over images taken from an aircraft and satellite and b) a two-step cross-platform image matching framework. Our dataset considers several practical scenarios in cross-platform matching and semantic segmentation. The first step in our two-step matching framework performs coarse-matching using a lightweight convolutional neural network (CNN) with help from aircraft instantaneous parameters. In the second step, we fine-tune standard off-the-shelf image matching algorithms by exploiting spectral, temporal and flow features followed by cluster analysis. We validate our proposed matching framework over our dataset, two publicly available aerial cross-platform datasets, and a derived dataset using various standard evaluation methodologies. Specifically, we show that both steps in our proposed two-step framework help to improve the matching performance in the cross-platform image matching scenario.
Banking Supervision and Nonperforming Loans in Africa: Does Institutional Quality Matter in the Ghanaian Banking Space?

ABSTRACT In this paper, we reexamine the determinants of nonperforming loans through the impact of supervisory devices in credit risk management in Africa. The paper employs bank-specific, macroeconomic and institutional data for a panel of 14 universal banks over the period 2009 to 2020. We develop models that capture the role of regulatory supervision on credit risk. Findings from the Panels Corrected Standard Errors (PCSE) and the system GMM shows that previous year’s NPL and inflation significantly affect NPLs in the banking space of Gana. Bank size and financial development are inversely associated with NPLs. The interactive term of regulatory quality and government effectiveness on NPLs has net negative effect. This suggest that regulatory quality enhances the reductive effects of government effectiveness on NPLs. Our findings in general lends credence to the financial instability theory as NPLs in the Ghanaian context has been the outcome of activities of speculative borrowers.
Elevated AKIP1 expression is associated with tumor invasion, shorter survival time and decreased chemosensitivity in endometrial carcinoma

A-kinase-interacting protein 1 (AKIP1), as a recently discovered oncoprotein, promotes cell malignant behaviors in gynecological malignancies. To the best of our knowledge, no study reports its clinical value in patients with endometrial carcinoma. The present study aimed to explore the association between AKIP1 expression and clinical features and survival in patients with endometrial carcinoma, and to assess the effect of AKIP1 knockdown on the regulation of chemosensitivity in vitro. The tumor and adjacent tissue specimens from 101 patients with endometrial carcinoma were retrieved for AKIP1 protein expression analysis using an immunohistochemistry (IHC) assay. Meanwhile, specimens from 54 patients with endometrial carcinoma were analyzed for AKIP1 mRNA expression using reverse transcription-quantitative PCR. Furthermore, an in vitro experiment was conducted in the Ishikawa cell line to determine the effect of AKIP1 modification on the chemosensitivity of cisplatin and paclitaxel. AKIP1 IHC score (P<0.001) and mRNA expression levels (P<0.001) were increased in tumor tissues compared with those in adjacent tissues. Moreover, increased AKIP1 IHC score was associated with lymphovascular invasion (P=0.007), advanced International Federation of Gynecology and Obstetrics (FIGO) stage (P=0.002) and shorter overall survival (OS) time (P=0.035) in the patients with endometrial carcinoma. Meanwhile, upregulated AKIP1 mRNA expression levels were associated with lymphovascular invasion (P=0.020) and advanced FIGO stage (P=0.027) in the patients with endometrial carcinoma. Multivariate Cox regression showed that tumor AKIP1 protein expression (high vs. low) independently predicted a shorter OS time (P=0.036). Silencing of AKIP1 decreased Ishikawa cell viability when treated with 5, 10, 20 and 40 µM cisplatin (all P<0.05) and decreased the half maximal inhibitory concentration value of cisplatin (P=0.003), whereas its effect on paclitaxel chemosensitivity was less obvious. Overall, elevated AKIP1 expression was associated with tumor invasion, shorter survival time and decreased chemosensitivity in endometrial carcinoma.
Learning deep domain-agnostic features from synthetic renders for industrial visual inspection

Abstract. Deep learning has resulted in a huge advancement in computer vision. However, deep models require an enormous amount of manually annotated data, which is a laborious and time-consuming task. Large amounts of images demand the availability of target objects for acquisition. This is a kind of luxury we usually do not have in the context of automatic inspection of complex mechanical assemblies, such as in the aircraft industry. We focus on using deep convolutional neural networks (CNN) for automatic industrial inspection of mechanical assemblies, where training images are limited and hard to collect. Computer-aided design model (CAD) is a standard way to describe mechanical assemblies; for each assembly part we have a three-dimensional CAD model with the real dimensions and geometrical properties. Therefore, rendering of CAD models to generate synthetic training data is an attractive approach that comes with perfect annotations. Our ultimate goal is to obtain a deep CNN model trained on synthetic renders and deployed to recognize the presence of target objects in never-before-seen real images collected by commercial RGB cameras. Different approaches are adopted to close the domain gap between synthetic and real images. First, the domain randomization technique is applied to generate synthetic data for training. Second, domain invariant features are utilized while training, allowing to use the trained model directly in the target domain. Finally, we propose a way to learn better representative features using augmented autoencoders, getting performance close to our baseline models trained with real images.
Improving the Annotation of the Venom Gland Transcriptome of Pamphobeteus verdolaga, Prospecting Novel Bioactive Peptides

Spider venoms constitute a trove of novel peptides with biotechnological interest. Paucity of next-generation-sequencing (NGS) data generation has led to a description of less than 1% of these peptides. Increasing evidence supports the underestimation of the assembled genes a single transcriptome assembler can predict. Here, the transcriptome of the venom gland of the spider Pamphobeteus verdolaga was re-assembled, using three free access algorithms, Trinity, SOAPdenovo-Trans, and SPAdes, to obtain a more complete annotation. Assembler’s performance was evaluated by contig number, N50, read representation on the assembly, and BUSCO’s terms retrieval against the arthropod dataset. Out of all the assembled sequences with all software, 39.26% were common between the three assemblers, and 27.88% were uniquely assembled by Trinity, while 27.65% were uniquely assembled by SPAdes. The non-redundant merging of all three assemblies’ output permitted the annotation of 9232 sequences, which was 23% more when compared to each software and 28% more when compared to the previous P. verdolaga annotation; moreover, the description of 65 novel theraphotoxins was possible. In the generation of data for non-model organisms, as well as in the search for novel peptides with biotechnological interest, it is highly recommended to employ at least two different transcriptome assemblers.
Comparative metabolomic study of three clones of Eucommia ulmoides wood

Abstract It is important to reveal the differences in the metabolites of different clones of Eucommia wood to explore the beneficial components of Eucommia wood and the selection of Eucommia wood. In this study, an extensive targeted metabolomic analysis was conducted on three different clones of Eucommia wood, Huazhong 12 Eucommia (HZ), Cili Eucommia (CL), and Miye Eucommia (MY), using UPLC-EI-MS/MS analysis. The results show that the Eucommia wood contains phenolic acids, lipids, amino acids and derivatives, organic acids, flavonoids, nucleotides and derivatives, terpenoids, lignans and coumarins, alkaloids, tannins, and other classes with a total of 854 metabolites. Among them, HZ and CL, HZ and MY, and MY and CL contain 99, 115, and 154 substantially different metabolites, respectively, enriched in 83, 128, and 199 metabolic pathways, mainly enriched in the metabolic pathways and biosynthesis of secondary metabolites. The metabolites in HZ with a relatively high content were sexangularetin-3-O-glucoside-7-O-rhamnoside, narcissin*, quercetin-3-O-sambubioside*, and quercetin-3-O-apiosyl(1→2)galactoside*; the metabolites in MY with a relatively high content were L-lysine and L-ornithine. The relatively more abundant metabolite in CL is 1,3,5-benzenetriol. The results of the study not only reveal that different clones of Eucommia wood have different metabolite components. This may provide not only different health functions to Eucommia wood, but also theoretical and technical support for the selection and breeding of good Eucommia species for timber and the enhancement of added value.
Corporate Governance and Audit Report Lag on Financial Sector Companies Listed in IDX 2018-2020

Purpose: This study aims to determine the effect of corporate governance practices on the length of time for the annual financial statement audit that called Audit Report Lag (ARL). Method: This research used quantitative approach with a multiple linear regression models through ordinary least square and classic assumptions test. Selection of the sample using purposive sampling method, from financial sector company listed on the Indonesia Stock Exchange (IDX) for the period 2018 – 2020, 250 data were selected as a sample.Findings: It was found that board size, audit committee meeting and audit opinion variable give negative effect on ARL. Besides, Audit committee size give positive effect on Audit Report Lag.Novelty: This study enriched the literature by finding out that “others” sub sector in financial company didn’t have a specific regulation whereas previous research only focus on bank which alreasy have a strict regulation. This research’s implication is expected to give wider insight to company and regulator that can help them publish their financial reports on time.
BNT162b2 Booster Vaccination Induced Immunity against SARS-CoV-2 Variants among Hemodialysis Patients

Abstract Background: The emergence of new SARS-CoV-2 variants, which evade immunity, has raised the urgent need for multiple vaccine booster doses for vulnerable populations. In this study, we aimed to estimate the BNT162b2 booster effectiveness against the spread of coronavirus variants in a hemodialysis population. Methods: We compared humoral and cell-mediated immunity in 100 dialysis patients and 66 age-matched volunteers, before and 2–3 weeks following the first booster vaccine dose. Participants were assessed for anti-spike (RBD) antibody titer, neutralizing antibodies against B.1. 617.2 (Delta) and B.1. 1.529 (Omicron) variants, spike-specific T-cell responses by FACS and infection outbreak after the first and second booster. Results: Anti-spike antibody titer was significantly increased following the booster, with reduced humoral and cellular response in the dialysis patients. Neutralizing antibody levels increased significantly after the booster dose, with an inferior effect (≤2 fold) against Omicron compared with the Delta variant. Furthermore, CD4+ and CD8+ T-cell activation by Delta spike protein was preserved in 70% of PBMCs from the dialysis patients. A second booster dose tended to reduce breakthrough infections in the dialysis patients. Conclusions: Until the release of an updated vaccine, BNT162b2 booster doses will improve the humoral and cell-mediated immunity against variants. These findings support the importance of repetitive booster doses for hemodialysis patients.
Photoluminescence Compounds ZnGa 2 Se 4 and ZnGa 2 Se 4 :Eu 2+

Photoluminescence (PL) spectra measurements have been carried out in the ternary chalcopyrite semiconductor compounds ZnGa2Se42Se4: Eu2+ using single-wavelength excitation of a Hg lamp with λ = 365 and 375 nm. Measurements were performed at the temperature range of (120 ~ 220 K) and (110 ~ 230 K) for ZnGa2Se4 and ZnGa2Se4:Eu2+, respectively. No PL was observed for both crystals at the temperatures higher than 220 K (ZnGa2Se4) and 230 K (ZnGa2Se4:Eu2+). At temperatures lower than ~220 K and ~230 K one and three lines were observed for ZnGa2Se4 and ZnGa2Se4: Eu at 591 nm and 566, 591, 646 nm, respectively. 566 nm line was assigned as due of the 4f65d→ 4f7 (8S7/2) transition of Eu2+ ions, whereas the rest two lines were attributed to the donor-acceptor recombination pairs. Probability of non-radiation transfers (A = 108 ~109 s-1), energy of optical phonons (hω= 25 ~ 30 meV), Huan Rice parameter (S = 8 ~ 10), energy of thermal quenching (△E = 0.02 ~ 0.06 eV) were determined from the tem-perature dependences of the full width at half maximum (FWHM = Г(T)).
The Effect of Convenience, Perceived Ease of Use, and Perceived Usefulness on Intention to Use E-Wallet

In today's era, technology is developing rapidly. One of these technological advances is the existence of an electronic wallet (e-wallet). A transaction using the e-wallet can be both online and offline. The study aims to describe the effect of convenience, perceived ease of use, and perceived usefulness on intention to use. The samples were generation z of Surakarta city, which amounted to 225 respondents. The collection of samples used a purposive sampling method with the criteria of generation z of Surakarta. The payment method used for transactions is an e-wallet. The research used Structural Equation Modeling (SEM) and Partial Least Square (PLS) analysis methods with the SmartPLS 3.0. The research results show that (1) convenience has a positive and significant effect on the intention to use an e-wallet. (2) Convenience has a positive and significant effect on perceived usefulness. (3) Perceived ease of use has a positive and significant effect on the intention to use. (4) Perceived ease of use has a positive and significant effect on perceived usefulness. (5) Perceived usefulness has a significant effect on the intention to use.
Functionalized Electrospun Scaffold–Human-Muscle-Derived Stem Cell Construct Promotes In Vivo Neocartilage Formation

Polycaprolactone (PCL) is a non-cytotoxic, completely biodegradable biomaterial, ideal for cartilage tissue engineering. Despite drawbacks such as low hydrophilicity and lack of functional groups necessary for incorporating growth factors, it provides a proper environment for different cells, including stem cells. In our study, we aimed to improve properties of scaffolds for better cell adherence and cartilage regeneration. Thus, electrospun PCL–scaffolds were functionalized with ozone and loaded with TGF-β3. Together, human-muscle-derived stem cells (hMDSCs) were isolated and assessed for their phenotype and potential to differentiate into specific lineages. Then, hMDSCs were seeded on ozonated (O) and non-ozonated (“naïve” (NO)) scaffolds with or without protein and submitted for in vitro and in vivo experiments. In vitro studies showed that hMDSC and control cells (human chondrocyte) could be tracked for at least 14 days. We observed better proliferation of hMDSCs in O scaffolds compared to NO scaffolds from day 7 to day 28. Protein analysis revealed slightly higher expression of type II collagen (Coll2) on O scaffolds compared to NO on days 21 and 28. We detected more pronounced formation of glycosaminoglycans in the O scaffolds containing TGF-β3 and hMDSC compared to NO and scaffolds without TGF-β3 in in vivo animal experiments. Coll2-positive extracellular matrix was observed within O and NO scaffolds containing TGF-β3 and hMDSC for up to 8 weeks after implantation. These findings suggest that ozone-treated, TGF-β3-loaded scaffold with hMDSC is a promising tool in neocartilage formation.