Miracle-dz/UniFAR-FTUs huggingface dataset:
Geoacoustic modeling of the sea floor

Geoacoustic models of the sea floor are basic to underwater acoustics and to marine geological and geophysical studies of the earth’s crust, including stratigraphy, sedimentology, geomorphology, structural and gravity studies, geologic history, and many others. A ’’geoacoustic model’’ is defined as a model of the real sea floor with emphasis on measured, extrapolated, and predicted values of those properties important in underwater acoustics and those aspects of geophysics involving sound transmission. In general, a geoacoustic model details the true thicknesses and properties of sediment and rock layers in the sea floor. A complete model includes water‐mass data, a detailed bathymetric chart, and profiles of the sea floor (to obtain relief and slopes). At higher sound frequencies, the investigator may be interested in only the first few meters or tens of meters of sediments. At lower frequencies information must be provided on the whole sediment column and on properties of the underlying rocks. Complete .
Experiences of human papillomavirus self‐sampling by women >60 years old: A qualitative study

Human papillomavirus (HPV) self‐sampling has shown to be acceptable and feasible across cultures and effective in reaching women who do not participate in regular cervical cancer screening. However, most of these studies have included younger women. There is a lack of knowledge of how older women reason about HPV self‐sampling.
Validity and reliability of the Turkish Occupational Balance Questionnaire (OBQ11-T) in mental health

Abstract Background People with psychiatric disabilities often find it difficult to maintain a satisfactory occupational balance. Aims/objectives This study aimed to investigate the validity and reliability of the Turkish version of the Occupational Balance Questionnaire (OBQ11-T) in mental health. Material and methods OBQ11-T was applied to 149 people for construct validity analysis and to 61 of them for reliability analysis. Validity was determined using factor analyses. The reliability of the OBQ between the first and second evaluations was assessed using the intraclass correlation coefficient (ICC) for each item and the total OBQ11-T score. Internal consistency was assessed using Cronbach’s alpha. Results The results of factor analysis revealed one factor that explains 35.94% of the total variance in the model. OBQ11-T item 1 had the lowest and OBQ11-T item 4 had the highest factor loadings. The model fits the data according to the indices of relative fit (RMSEA = 0.087, CMIN/DF = 2.129, CFI = 0.901). There was an excellent correlation between test and retest OBQ11-T total scores (ICC = 0.905). All items of the OBQ11-T showed good reliability. Cronbach’s alpha for the OBQ11-T total score was 0.839, indicating acceptable internal consistency. Conclusions and significance The current study showed that OBQ11-T is a valid and reliable tool for measuring the self-rated occupational balance of people with mental illness.
Early treatment with terlipressin in patients with hepatorenal syndrome yields improved clinical outcomes in North American studies

Hepatorenal syndrome type 1 (HRS-1) is a serious complication of advanced cirrhosis and a potentially reversible form of acute kidney injury that is associated with rapidly deteriorating kidney function. Liver transplantation remains the only curative treatment for decompensated cirrhosis. However, terlipressin, a vasopressin analog, successfully reverses HRS-1, and may improve patient survival while awaiting liver transplantation. Patients with higher baseline serum creatinine have a reduced response to treatment with terlipressin. These post hoc analyses examined pooled data from 352 patients with HRS-1 treated with terlipressin in 3 North American-centric, Phase III, placebo-controlled clinical studies (i.e. OT-0401, REVERSE, and CONFIRM)—across 3 serum creatinine subgroups (i.e. <3, ≥3–<5, and ≥5 mg/dL)—to further delineate their correlation with HRS reversal, renal replacement therapy-free survival, and overall survival. Serum creatinine was significantly associated with HRS reversal in univariate and multivariate logistic regression analyses (P<0.001). The incidence of HRS reversal inversely correlated with serum creatinine subgroup (<3 mg/dL, 49.2%; ≥3–<5 mg/dL, 28.0%; ≥5 mg/dL, 9.1%). At Day 30 follow-up, renal replacement therapy-free survival was significantly higher for patients with HRS-1 in the lower serum creatinine subgroups than in the higher subgroup (<5 vs. >5 mg/dL; p=0.01). Terlipressin-treated patients with HRS-1, with a lower baseline serum creatinine level, had a higher overall survival (p<0.001) and higher transplant-free survival at Day 90 (p=0.04). Patients with HRS-1 and lower serum creatinine levels who were treated with terlipressin had higher HRS reversal and survival outcomes, highlighting the significant need to identify and treat patients with HRS-1 early when they often have lower serum creatinine levels, and likely a greater response to terlipressin.
Mechanical strength characteristics of tin-codoped germanosilicate fibre Bragg gratings by writing through UV-transparent coating

A Bragg grating reflector was fabricated through the coating with a centre wavelength of 1544.5 nm, and a peak reflectivity of 100%. Breaking strength of this grating was 61.05 N (4.97 GPa) at a rate of 1% strain/min. The change in the modulus of the coating layer was within 20%.
An Assessment of the Feasibility and Utility of an ACCC-ASCO Implicit Bias Training Program to Enhance Racial and Ethnic Diversity in Cancer Clinical Trials

PURPOSE: Cancer trial participants do not reflect the racial and ethnic diversity in the population of people with cancer in the United States. As a result of multiple system-, patient-, and provider-level factors, including implicit bias, cancer clinical trials are not consistently offered to all potentially eligible patients. MATERIALS AND METHODS: ASCO and ACCC evaluated the utility (pre- and post-test knowledge changes) and feasibility (completion rates, curriculum satisfaction metrics, survey questions, and interviews) of a customized online training program combined with facilitated peer-to-peer discussion designed to help research teams identify their own implicit biases and develop strategies to mitigate them. Discussion focused on (1) specific elements of the training modules; (2) how to apply lessons learned; and (3) key considerations for developing a facilitation guide to support peer-to-peer discussions in cancer clinical research settings. We evaluated discussion via a qualitative assessment. RESULTS: Participant completion rate was high: 49 of 50 participating cancer programs completed training; 126 of 129 participating individuals completed the training (98% response rate); and 119 completed the training and evaluations (92% response rate). Training increased the mean percentage change in knowledge scores by 19%-45% across key concepts (eg, causes of health disparities) and increased the mean percentage change in knowledge scores by 10%-31% about strategies/actions to address implicit bias and diversity concerns in cancer clinical trials. Knowledge increases were sustained at 6 weeks. Qualitative evaluation validated the utility and feasibility of facilitated peer-to-peer discussion. CONCLUSION: The pilot implementation of the training program demonstrated excellent utility and feasibility. Our evaluation affirms that an online training designed to raise awareness about implicit bias and develop strategies to mitigate biases among cancer research teams is feasible and can be readily implemented in cancer research settings.
Engineering Human Brain Assembloids by Microfluidics

Brain assembloids offer a highly promising strategy to model human brain development and disease, and advance potential studies in regenerative medicine, therapeutic screening, and drug discovery, while it is challenging to produce uniform brain organoids and assemble them flexibly by conventional methods. Here, a multidisciplinary engineered strategy to generate human brain assembloids with desired patterning based on microfluidic technology is presented. By encapsulating human induced pluripotent stem cells in microcapsules via microfluidic electrospray, brain region‐specific organoids are efficiently formed, which are then introduced into a microfluidic chip consisting of a bottom layer with a micropillar array and a movable upper layer with a complementary microhole array. These brain organoids can settle into microholes and fuse into brain assembloids. As varied organoid microcapsules with designed 1D sequences or 2D arrays can be assembled into the vertical microholes, large coding amounts of fused brain assembloids with desired patterning can be produced. It is found that brain assembloids composed of cortical, hippocampal, and thalamic organoids can grow and function well, characterized with active neural migration and interaction. These features indicate that the suggested flexible, scalable, and controlled microfluidic systems are remarkably potential in wide applications of brain assembloids in neurological and biomedical fields.
Association between sociodemographic characteristics and HIV disclosure among people living with HIV in South Carolina: a structural equation modeling approach

ABSTRACT HIV disclosure continues to be a key consideration among people living with HIV (PLWH). However, there is a lack of studies assessing factors associated with HIV disclosure among PLWH in the Southern U.S. Therefore, the aim of this study was to assess the association between sociodemographic risk factors and HIV disclosure using a structural equation modeling approach among PLWH in South Carolina. Exploratory factor analysis was used to operationalize HIV disclosure. Structural equation models were used to determine the associations between sociodemographic factors and HIV disclosure among PLWH. Two latent variables were obtained for HIV disclosure: partners (stable partners, spouses, casual partners), and family/friends (parents, grandparents, siblings, children, adult children, friends, and coworkers). After adjusting for confounders, Black populations were less likely to disclose their HIV status to both partners (β = −0.250, p = 0.006) and family/friends (β = −0.246, p < 0.001) compared to non-Black populations. As yearly income increased, the likelihood of HIV disclosure to family/friends decreased (β = −0.300, p = <0.001). As time since diagnosis increased, the likelihood of HIV disclosure to family/friends increased (β = 0.266, p = 0.001). Future research can assess the feasibility of implementing disclosure interventions that are geared towards Black, high income and newly diagnosed PLWH and the associations of psychosocial factors and HIV disclosure.
High power terahertz emission from a single gate AlGaN/GaN field effect transistor with periodic Ohmic contacts for plasmon coupling

We report on room temperature terahertz (THz) emission by a single, short gate AlGaN/GaN field effect transistor with grating Ohmic contacts. The fingers of metal contacts are fabricated at the nanoscale in length and spacing in order to work as a radiation coupler of electron plasmons in the THz range. Spectrum analysis revealed a broadband emission centered at 1.5 THz with a controlled polarization by the grating contacts. The measured output power is linearly increased with the drain input power and reached up to 1.8 μW.
Theoretical modelling of a bi-dimensional U-shaped surface plasmon resonance based fibre optic sensor for sensitivity enhancement

Theoretical analysis of a surface plasmon resonance based fibre optic sensor with a uniform semi-metal coated U-shaped probe is carried out using a bi-dimensional model. All the rays of the p-polarized light launched in the fibre and their electric vectors are assumed to be confined in the plane of bending of the U-shaped probe. The effect of the bending radius of the probe on the sensitivity of the sensor is studied. The study shows that as the bending radius of the probe decreases the sensitivity of the sensor increases. For the light launching conditions used, the maximum sensitivity achieved is several times more than that reported for a fibre optic tapered probe. In addition to high sensitivity, the most advantageous feature of a U-shaped probe is that it can be used as a point sensor.
Continuous production for large quantity plasma activated water using multiple plasma device setup

In the present work, a batch and continuous production of plasma-activated water (PAW) is reported. To produce PAW in a batch and continuous manner a multiple plasma device setup is used. The multiple plasma device consists of a series of plasma devices that are powered simultaneously to produce PAW. This multiple plasma device is powered by indigenously developed high-voltage high-frequency power supply. The air plasma generated in this multiple plasma device setup is electrically characterized and the produced radicals/species are identified using optical emission spectroscopy. The post-discharge effluent gases left after plasma-water exposure carries some environmental pollutants (NO x and O 3 , etc.). The batch and continuous PAW production setup utilizes effluent (pollutants) gases in production of large volume PAW. Hence, it substantially reduces the concentration of these pollutants in effluent gases which are released in environment.
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes

Variational inference has been widely used in machine learning literature to fit various Bayesian models. In network analysis, this method has been successfully applied to solve the community detection problems. Although these results are promising, their theoretical support is only for relatively dense networks, an assumption that may not hold for real networks. In addition, it has been shown recently that the variational loss surface has many saddle points, which may severely affect its performance, especially when applied to sparse networks. This paper proposes a simple way to improve the variational inference method by hard thresholding the posterior of the community assignment after each iteration. Using a random initialization that correlates with the true community assignment, we show that the proposed method converges and can accurately recover the true community labels, even when the average node degree of the network is bounded. Extensive numerical study further confirms the advantage of the proposed method over the classical variational inference and another state-of-the-art algorithm.
Energy-stable and boundedness preserving numerical schemes for the Cahn-Hilliard equation with degenerate mobility

Two new numerical schemes to approximate the Cahn-Hilliard equation with degenerate mobility (between stable values 0 and 1) are presented, by using two different non-centered approximation of the mobility. We prove that both schemes are energy stable and preserve the maximum principle approximately, i.e. the amount of the solution being outside of the interval [0,1] goes to zero in terms of a truncation parameter. Additionally, we present several numerical results in order to show the accuracy and the well behavior of the proposed schemes, comparing both schemes and the corresponding centered scheme.
Taking Search to Task

The importance of tasks in information retrieval (IR) has been long argued for, addressed in different ways, often ignored, and frequently revisited. For decades, scholars made a case for the role that a user’s task plays in how and why that user engages in search and what a search system should do to assist. But for the most part, the IR community has been too focused on query processing and assuming a search task to be a collection of user queries, often ignoring if or how such an assumption addresses the users accomplishing their tasks. With emerging areas of conversational agents and proactive IR, understanding and addressing users’ tasks has become more important than ever before. In this paper, we provide various perspectives on where the state-of-the-art is with regard to tasks in IR, what are some of the bottlenecks in deriving and using task information, and how do we go forward from here. In addition to covering relevant literature, the paper provides a synthesis of historical and current perspectives on understanding, extracting, and addressing task-focused search. To ground ongoing and future research in this area, we present a new framing device for tasks using a tree-like structure and various moves on that structure that allow different interpretations and applications. Presented as a combination of synthesis of ideas and past works, proposals for future research, and our perspectives on technical, social, and ethical considerations, this paper is meant to help revitalize the interest and future work in task-based IR.
We are Going to the Space - Part 1: Which device to deploy in a satellite?

The shrinkage in sizes of components that make up satellites led to wider and low cost availability of satellites. As a result, there has been an advent of smaller organizations having the ability to deploy satellites with a variety of data-intensive applications to run on them. One popular application is image analysis to detect, for example, land, ice, clouds, etc. However, the resource-constrained nature of the devices deployed in satellites creates additional challenges for this resource-intensive application. In this paper, we investigate the performance of a variety of edge devices for deep-learning-based image processing in space. Our goal is to determine the devices that satisfy the latency and power constraints of satellites while achieving reasonably accurate results. Our results demonstrate that hardware accelerators (TPUs, GPUs) are necessary to reach the latency requirements. On the other hand, state-of-the-art edge devices with GPUs could have a high power draw, making them unsuitable for deployment on a satellite.
Heterogeneous Beliefs and Multi-Population Learning in Network Games

The eﬀect of population heterogeneity in multi-agent learning is practically relevant but remains far from being well-understood. Motivated by this, we introduce a model of multi-population learning that allows for heterogeneous beliefs within each population and where agents respond to their beliefs via smooth ﬁctitious play (SFP). We show that the system state — a probability distribution over beliefs — evolves according to a system of partial diﬀerential equations. We establish the convergence of SFP to Quantal Response Equilibria in diﬀerent classes of games capturing both network competition as well as network coordination. We also prove that the beliefs will eventually homogenize in all network games. Although the initial belief heterogeneity disappears in the limit, we show that it plays a crucial role for equilibrium selection in the case of coordination games as it helps select highly desirable equilibria. Contrary, in the case of network competition, the resulting limit behavior is independent of the initialization of beliefs, even when the underlying game has many distinct Nash equilibria.
Discovery of an Exceptional Optical Nebulosity in the Suspected Galactic SN Iax Remnant Pa 30 Linked to the Historical Guest Star of 1181 CE

A newly recognized young Galactic supernova (SN) remnant, Pa 30 (G123.1+4.6), centered on a hot central star with a ∼16,000 km s−1 wind velocity, has recently been proposed to be the result of a double-degenerate merger leading to an SN Iax event associated with the guest star of 1181 CE. Here we present deep optical [S ii] λλ6716,6731 images of Pa 30 that reveal an extraordinary and highly structured nebula 170″ in diameter with dozens of long (5″–20″), radially aligned filaments with a convergence point near the hot central star. Optical spectra of filaments indicate a peak expansion velocity ≃1100 km s−1 with electron densities of ≤100–700 cm−3 and a thick shell-like structure resembling its appearance in 22 μm WISE images. No Hα emission was seen ([S ii] λ6716/Hα >5), with the only other line emission detected being faint [Ar iii] λ7136, suggesting a S- and Ar-rich but H-poor remnant. The nebula’s angular size, estimated 2.3 kpc distance, and 1100 km s−1 expansion velocity are consistent with an explosion date around 1181 CE. The remnant’s unusual appearance may be due to the photoionization of wind-driven ejecta due to clump–wind interactions caused by the central star’s high-luminosity wind.
Wegner estimate and upper bound on the eigenvalue condition number of non-Hermitian random matrices

We consider $N\times N$ non-Hermitian random matrices of the form $X+A$, where $A$ is a general deterministic matrix and $\sqrt{N}X$ consists of independent entries with zero mean, unit variance, and bounded densities. For this ensemble, we prove (i) a Wegner estimate, i.e. that the local density of eigenvalues is bounded by $N^{1+o(1)}$ and (ii) that the expected condition number of any bulk eigenvalue is bounded by $N^{1+o(1)}$; both results are optimal up to the factor $N^{o(1)}$. The latter result complements the very recent matching lower bound obtained in [15] (arXiv:2301.03549) and improves the $N$-dependence of the upper bounds in [5,6,32] (arXiv:1906.11819, arXiv:2005.08930, arXiv:2005.08908). Our main ingredient, a near-optimal lower tail estimate for the small singular values of $X+A-z$, is of independent interest.
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms

As the privacy risks posed by camera surveillance and fa- cial recognition have grown, so has the research into privacy preservation algorithms. Among these, visual privacy preser- vation algorithms attempt to impart bodily privacy to subjects in visuals by obfuscating privacy-sensitive areas. While dis- parate performances of facial recognition systems across phe-notypes are the subject of much study, its counterpart, pri- vacy preservation, is not commonly analysed from a fairness perspective. In this paper, the fairness of commonly used vi- sual privacy preservation algorithms is investigated through the performances of facial recognition models on obfuscated images. Experiments on the PubFig dataset clearly show that the privacy protection provided is unequal across groups.
Pressure-induced coevolution of transport properties and lattice stability in CaK(Fe1-xNix)4As4 (x= 0.04 and 0) superconductors with and without spin-vortex crystal state

Here we report the first investigation on correlation between the transport properties and the corresponding stability of the lattice structure for CaK(Fe1-xNix)4As4 (x=0.04 and 0), a new type of putative topological superconductors, with and without a spin-vortex crystal (SVC) state in a wide pressure range involving superconducting to non-superconducting transition and the half- to full-collapse of tetragonal (h-cT and f-cT) phases, by the complementary measurements of high-pressure resistance, Hall coefficient and synchrotron X-ray diffraction. We identify the three critical pressures, P1 that is the turn-on critical pressure of the h-cT phase transition and it coincides with the critical pressure for the sign change of Hall coefficient from positive to negative, a manifestation of the Fermi surface reconstruction, P2 that is the turn-off pressures of the h-cT phase transition, and P3 that is the critical pressure of the f-cT phase transition. By comparing the high-pressure results measured from the two kinds of samples, we find a distinct left-shift of the P1 for the doped sample, at the pressure of which its SVC state is fully suppressed, however the P2 and the P3 remain the same as that of the undoped one. Our results not only provide a consistent understanding on the results reported before, but also demonstrate the importance of the Fe-As bonding in stabilizing the superconductivity of the iron pnictide superconductors through the pressure window.