Miracle-dz/UniFAR-FTUs huggingface dataset:
Evidence to Inform Policy and Practice: Mechanisms to Address Racial/Ethnic Disparities in Nursing Home Quality of Life

Abstract Background and Objectives Abundant evidence documents racial/ethnic disparities in access, quality of care, and quality of life (QoL) among nursing home (NH) residents who are Black, Indigenous, and people of color (BIPOC) compared with White residents. BIPOC residents are more likely to be admitted to lower quality NHs and to experience worse outcomes. Yet, little is known about processes for differences in QoL among residents receiving care in high-proportion BIPOC NHs. This study presents an examination of the processes for racial/ethnic disparities in QoL in high-proportion BIPOC facilities while highlighting variability in QoL between these facilities. Research Design and Methods Guided by the Minority Health and Health Disparities Research Framework and the Zubritsky framework for QoL in NHs, we employ a concurrent mixed-methods approach involving in-depth case studies of 6 high-proportion BIPOC NHs in Minnesota (96 resident interviews; 61 staff interviews; 614 hours of observation), coupled with statewide survey data on residents’ QoL linked to resident clinical Minimum Data Set assessments. Results Quantitative findings show that BIPOC residents experience lower QoL than White residents across various domains. Qualitative findings reveal variability in BIPOC residents’ QoL between high-proportion BIPOC facilities. In some facilities, BIPOC residents experienced worse QoL based on their race/ethnicity, whereas in others BIPOC residents QoL was not directly affected by their race/ethnicity or they had mixed experiences. Discussion and Implications The findings highlight variability in racial/ethnic disparities in QoL across NHs with a high proportion of BIPOC residents. We identify health equity initiatives, including engaging with community BIPOC organizations and volunteers, and providing more resources to high-proportion BIPOC facilities to support staff training, additional staffing, and culturally specific programming. Given the increasing racial/ethnic diversity of NHs, ensuring equity in QoL for BIPOC residents is an urgent priority for NHs to remain relevant in the future.
Velocity Synchronous Chirplet Extracting Transform: An Effective Tool for Fault Diagnosis of Variable-Speed Rotational Machinery

Bearing vibrations from actual sources always involve noise and other interferences, causing the poor time-frequency (TF) readability of time-frequency distribution (TFD) and the inaccurate estimation of instantaneous frequencies (IFs), thus bringing great challenges to the diagnosis of bearing failures. To this end, under the theoretical framework of synchroextracting transform (SET), this work studied a novel time-frequency analysis (TFA) technique named velocity synchronous chirplet extracting transform (VSCET). Compared with other traditional TFA techniques, the VSCET method can accurately depict the variation laws of time-varying features via a highly readable and energy-concentrated TFD. It actually introduced the basis function in velocity synchronous linear chirplet transform (VSLCT) that has the synchronous changing law of rotational speed into SET such that has better advantages in both energy concentration and noise robustness. In addition, a fault diagnosis scheme based on VSCET is further introduced to realize the identification of bearing faults. The validity and practicality of this technology are fully tested from the results of simulations and experiments.
Review on Variable and Programmable Gain Amplifiers and Applications

Variable and programmable gain amplifiers have been a recurrent subject of study over the last 50 years, and, are increasingly used in different applications today. This work presents an overview of these amplifiers as to serve as an up-to-date source of information for studies and designs. Different architectures and techniques are presented and classified for both radio and intermediate frequencies, since there are major differences in the requirements according to bandwidth. Typical applications where VGAs and PGAs are employed are also presented.
Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures

In-vehicle infotainment systems can increase cognitive load and impair driving performance. These effects can be alleviated through interfaces that can assess cognitive load and adapt accordingly. Eye-tracking and physiological measures that are sensitive to cognitive load, such as pupil diameter, gaze dispersion, heart rate (HR), and galvanic skin response (GSR), can enable cognitive load estimation. The advancement in cost-effective and nonintrusive sensors in wearable devices provides an opportunity to enhance driver state detection by fusing eye-tracking and physiological measures. As a preliminary investigation of the added benefits of utilizing physiological data along with eye-tracking data in driver cognitive load detection, this paper explores the performance of several machine learning models in classifying three levels of cognitive load imposed on 33 drivers in a driving simulator study: no external load, lower difficulty 1-back task, and higher difficulty 2-back task. We built five machine learning models, including k-nearest neighbor, support vector machine, feedforward neural network, recurrent neural network, and random forest (RF) on (1) eye-tracking data only, (2) HR and GSR, (3) eye-tracking and HR, (4) eye-tracking and GSR, and (5) eye-tracking, HR, and GSR. Although physiological data provided 1%–15% lower classification accuracies compared with eye-tracking data, adding physiological data to eye-tracking data increased model accuracies, with an RF classifier achieving 97.8% accuracy. GSR led to a larger boost in accuracy (29.3%) over HR (17.9%), with the combination of the two factors boosting accuracy by 34.5%. Overall, utilizing both physiological and eye-tracking measures shows promise for driver state detection applications.
Comprehensive Pan-Cancer Analysis Reveals the Role of UHRF1-Mediated DNA Methylation and Immune Infiltration in Renal Cell Carcinoma

Ubiquitin-like PHD and ring finger domain protein 1 (UHRF1) are members of the multifunctional UHRF family, which can participate in DNA methylation change and histone posttranslational change through particular domains and participate in the event and development of tumors. The purpose of this study was to decide the molecular traits and potential medicine-based importance of UHRF1 that helped settle methylated immune infiltration in generalized cancer by carefully studying the relationship between UHRF1 expression and a variety of tumors and to further check for truth the functional role of UHRF1 in kidney-related cancer. A comprehensive analysis of UHRF1 in 33 cancers was performed based on TCGA database. This research involves analysis of mRNA expression profiles, prognostic value, immune infiltration, immune neoantigens, TMB, microsatellite instability, DNA methylation, and gene set enrichment analysis (GSEA). Both immune infiltration and DNA methylation were used to evaluate the importance and method of UHRF1 in renal cancer. The results showed that tumor tissue had higher expression level of UHRF1 than usual tissue. The high expression level of UHRF1 is related to the survival rate of renal cancer. UHRF1 expression was associated with tumor mutation load and microsatellite instability in different cancer types, and enrichment analysis identified terminology and pathways associated with UHRF1. This study showed that UHRF1 plays an important role in the group of objects and development of 33 tumors. UHRF1 may serve as a biomarker of immune infiltration and poor outlook of cancer.
Design and Validation of a 20 kVA, Fully Cryogenic, 2-Level GaN Based Current Source Inverter for Full Electric Aircrafts

This paper presents design of a cryogenic power electronics converter using wide bandgap (WBG) devices. A 20 kVA two-level current source inverter (2L-CSI) is designed and validated under both room temperature (RT) and cryogenic temperature (CT) of 77 K. CSI have been neglected because of physically large and heavy DC link inductor as compared to DC link capacitor of voltage source inverters (VSI). However, higher power, together with operation at CT in full electric aircrafts (FEA), makes them superior in size, volume and power quality. The advantage in volume is primarily attributed to utilization of air-core inductors with superconducting tapes as DC link storage elements. Therefore, a 2L-CSI with both power stage and associated components at CT is designed and evaluated. As part of converter development, commercially off the shelf (COTS) products including integrated circuits (ICs), isolated auxiliary power supplies, and passive components were utilized. Numerous laboratory prototypes of cryogenic subsystems were built to screen out the cryo-compatible components. Based on components screening, converter subsystems, namely gate driver (GD) board and double pulse test (DPT) platform, were also developed. Characterization of these subsystems were performed both at RT and CT, where both individual and integrated testing was carried out.
Protecting Farmers and Workers in Socialist Market Transitions: Mass Attitudes Toward Imports in Asia

After decades of market liberalization in Asian countries, how do people see trade, mainly imports, as potentially hurting domestic production? Do they consider them a threat to their societies’ less privileged groups? Using survey data of China, Vietnam, and Cambodia, and citing Thailand as a comparative case representing a liberal economy in the Southeast Asian region, we examine the effect of economic interests, collectivist ideology, and political trust on trade preferences. Empirical results indicate that economic optimism is only weakly related to attitudinal openness to imports, while income has a mixed effect. Collectivism and political trust in the central government and the elite stimulate antipathy against imports. The findings shed light on the sources of protectionist attitudes in Asian authoritarian regimes undergoing socialist market transition among the general public.
Using draft SafeAssign to allow students to take responsibility for reducing plagiarism

Plagiarised text in student assignments is a continuing issue in universities, especially in first year courses. Draft SafeAssign, embedded in Blackboard, allows students to submit their piece of writing to text matching software without penalty. Text is scanned for matching text but is not added to the institutional database. In Semester 1 2012 Draft Safe assign was used as a formative assessment tool in two courses: the CSI assignment in 1st year course Cell Biology, LFS100 (enrolment 428) and the PC assignment in 2nd year course Systemic Physiology I, LFS201 (enrolment 212). Students were instructed to submit the text for their assignments no later than one week before the final due date. Instructions were given for students to retrieve and interpret the report in order to make any changes before the final assignment submission. Students then submitted the final assignment to SafeAssign. A nominal mark (2%) was attached to correct use of the tool. The number of students identified by Draft SafeAssign as having suspect text and needing an interview was vastly reduced in both courses: 2011: 50 in LFS100 and 20 in LFS201 and 2012: 23 in LFS100 and 7 in LFS201. In the case of group assignments Draft SafeAssign allowed for easier identification of which student(s) wrote the ‘offending’ text in the final submission. Efficient use of Draft SafeAssign allowed for students to take responsibility for correct paraphrasing of their academic writing, whilst reducing the workload of the course coordinator in the counselling of students with suspect text. ; ;
Elongated Magma Plumbing System Beneath the Coso Volcanic Field, California, Constrained by Seismic Reflection Tomography

The magma plumbing in the lower crust beneath the Coso volcanic field (CVF) remains controversial, largely because of the absence of high‐resolution lower crustal velocity models. For the first time, we develop a high‐resolution crustal P‐wave velocity model for the Coso‐Ridgecrest region by jointly inverting 137,992 first P and 8,636 PmP travel‐time data using an eikonal equation‐based seismic reflection tomography method. More than half of the PmP travel times are picked from earthquakes after the 2019 Mw 7.1 Ridgecrest earthquake. Such abundant PmP travel times significantly improve the resolution of the lower crust. Our final velocity model reveals a prominent low‐velocity body sitting right beneath the CVF at 5–20 km depths, which we interpret as a rhyolite magma reservoir that supplies heat flux to the hot springs and also feeds the volcanic activities at Coso. We find that the upper‐middle crustal low‐velocity body dips southwards into the lower crust, extending to regions beneath the Indian Wells Valley and the Garlock Fault at depth greater than 20 km. We ascribe the lower crustal low‐velocity body (more than 4% Vp reduction) to a basaltic magma reservoir that connects the melts in the uppermost mantle with the eruptible rhyolitic reservoir at shallower depths. The basaltic magma reservoir constitutes an important part of a continuous N‐S elongated crustal magma plumbing system beneath the CVF, formed as a combined result of local extension, faulting, and stress distribution.
A dedicated sensitivity analysis and optimization application for industrial processes

The paper describes the architecture and the use case of the developed Modelbox system for sensitivity analysis (SA), uncertainty analysis (UA) and the subsequent optimization of industrial processes. The proposed solution addresses the most common practical and technical problems encountered by researchers and engineers when performing sensitivity analysis. It combines the functions from the numerical toolbox with a simulation management system. Maintaining usability and a good user experience while managing complex investigations of time-consuming industrial process simulations is a very important feature of the system. Several improvements were introduced to optimize the computation time of analysis/modelling tasks, including the automatization of distributed calculations, persistent, transparent caching of simulation data and duration estimations from collected statistics. The system has the ability to perform remote, parallel, asynchronous computations of both analytic algorithms and numerical simulations. The system is dynamically scalable horizontally by using serverless computing endpoints and thus it can be easily adapted to the user’s current needs in a flexible way. Modelbox provides web-based access to analysis/modelling tasks from sampling, SA/UA, optimization to metamodelling. It is extended with numerous interactive visualization components for effective results control. In addition, to access data from the completed analysis, the system sup - ports convergence tracking for SA estimates and intermediate optimization results. The process of controlled cooling of rails was considered as a case study. The formulated optimization task was to find a combination of process parameters that ensures a minimum volume fraction of bainite along with required interlamellar spac - ing and optimal homogeneity of hardness. Different sensitivity analysis methods were used to evaluate the significance of all variables with respect to their influence on the model output
Robust Ensemble Machine Learning for Precision Agriculture

In agriculture, various decisions largely depend on farmers’ previous experiences, however, using simple numerical values to enumerate these decisions is hard. To attain sustainable agriculture development, new technologies in farming are slowly replacing human labor in decision making. The new innovations in agriculture have been employed to increase crop planting scale and ensure quality. One of the biggest challenges faced by farmers who are operating on a small scale is soil exhaustion caused by poor farming practices for example mono-cropping which leads to loss of plant nutrients. And due to a lack of knowledge of existing soil nutrients and crop requirements, it’s hard for farmers to plant appropriately leading to low crop productivity and hence low production and huge losses. To address this challenge, precision agriculture, a modern farming technique has been proposed by many researchers to encompass research data of soil nutrients, soil types, etc., and recommend the most appropriate crop for planting. But since it’s too hard to build a single model that works best, it has been hard to attain precision agriculture goals with the previously proposed machine learning models. Therefore, in this paper, we propose a robust ensemble machine learning model which combines data from numerous modeling approaches to produce more robust models and more accurate predictions which Technology might work better especially in developing countries. And the results of the optimized crop recommendation indicate that the LightGBM classifier is the best with 99.39%, 100%, and 99.9% accuracy, Precision, and recall, making it the most reliable
Surface versus Performance Trade-offs: A Review of Layout Techniques

Selecting the relevant layout techniques is a key point to obtain a high-performance integrated circuit. Most of the common layout techniques, beside allowing the improvement of performance, also leads to an area overhead. Moreover, this area overhead is generally not accurately evaluated. It is proposed in this review to analyze and to evaluate the surface versus performance trade-off in three types of circuits : digital, low-frequency and radiofrequency analog circuits. Each circuit is post-layout simulated using BiCMOS SiGe 55 nm technology from STMicroelectronics. The first analysis evaluates the surface, power consumption and speed trade-off in a digital circuit implementing a 16-bit gray counter, when selecting different combinations of gates from the B55 digital library. The second analysis focuses on the implementation of an accurate capacitor ratio for switched capacitor circuits and quantifies the surface versus accuracy performance. The third analysis evaluate the performance trade-off for six different layout techniques applied on a negative resistor required for a VCO.
A gender approach to wine innovation and organic wine preferences

The development of innovative products, such as novel wines, is rejected by certain consumers that value attributes that may conflict with innovation. This is the case of the organic production label. The present study examined the impact of gender on wine purchasing preferences for innovative and organic wines. The findings showed that price is the most important attribute for both men and women when buying wine. The results also revealed that women assign greater importance to the production system (organic/conventional) than men. The segmentation generated according to the level of wine neophobia revealed significant differences between men and women in the frequency of wine consumption and the socioeconomic variables considered (age, educational level and income). The level of wine neophobia was higher in women than in men, but, in both genders, it increased with age and decreased as income and educational level increased. Women’s lesser interest in innovative wines and their more positive attitude towards organic wines encourages the consideration of women as a segment in which tradition and naturalness related to wine should be specifically taking into account.
Making massive-MIMO easy for broadband access satellites: a practical guide

The paper reviews issues impacting the implementation of Massive - Multi-Input Multi-Output (M-MIMO) technologies in satellite networks. Limitations of conventional M-MIMO systems based on Channel State Information (CSI) and precoding (i.e. Matched Filter - MF, Zero Forcing - ZF, Minimum Mean Square Error - MMSE) are discussed, and a simplified “pragmatic” approach approximating M-MIMO, dubbed MB M-MIMO, is introduced. MB M-MIMO key features and performances are presented together with Radio Resource Management (RRM) aspects. The combination of minimum-sum-interference RRM and MB M-MIMO is reported to achieve performance that are superior to conventional four Colour Frequency Reuse (4CFR) systems and able to cope with highly uneven traffic distributions. The throughput performance also in case of severe traffic uneven distribution is shown to be close to the ideal (and unrealisable) MMSE M-MIMO.
Immediate Release Formulation of Inhaled Beclomethasone Dipropionate-Hydroxypropyl-Beta-Cyclodextrin Composite Particles Produced Using Supercritical Assisted Atomization

In this study, the enhanced solubilization performance of a poorly soluble drug, beclomethasone dipropionate (BDP), was investigated using hydroxypropyl-β-cyclodextrin (HP-β-CD) and ethanol. The enhanced solubility of the drug was determined using the phase solubility method and correlated as a function of both HP-β-CD and ethanol concentrations. The effective progress of drug solubility originated from the formation of cyclodextrin and BDP inclusion complexes and increase in the lipophilicity of the medium, by aqueous ethanol, for hydrophobic BDP. BDP and HP-β-CD composite particles were produced using supercritical assisted atomization (SAA) with carbon dioxide as the spraying medium, 54.2% (w/w) aqueous ethanol as the solvent, and an optimal amount of the dispersion enhancer leucine. The effect of the mass ratio of HP-β-CD to BDP (Z) on the in vitro aerosolization and in vitro dissolution performance of BDP–HP-β-CD composite particles was evaluated. The aerosolization performance showed that the fine particles fraction (FPF) of the composite particles increased with increasing mass ratio. The water-soluble excipient (HP-β-CD) effectively enhance the dissolution rate of BDP from composite particles. This study suggests that BDP–HP-β-CD composite particles produced using SAA can be employed in immediate-release drug formulations for pulmonary delivery.
Adalimumab Mitigates Lumbar Radiculopathy in a Case of Ankylosing Spondylitis

Patient: Male, 46-year-old Final Diagnosis: Ankylosing spondylitis Symptoms: Low back pain Medication:— Clinical Procedure: — Specialty: Rehabilitation • Rheumatology Objective: Rare coexistence of disease or pathology Background: Ankylosing spondylitis (AS) is an immune-mediated chronic inflammatory condition grouped under spondylo-arthritis (SpA), which is an umbrella term for a group of interrelated inflammatory rheumatic conditions with characteristic radiographic findings such as erosions and ankylosis of the sacroiliac joint. Unfortunately, there is an average delay of 8–9 years between the onset of the symptoms and diagnosis due to infrequent consideration of this disease in the differential diagnosis of patients with low back pain and unusual or incomplete presenting clinical symptoms. Case Report: We describe the case of a 37-year-old male patient with no significant past medical history and surgical history of bilateral hip arthroplasty secondary to idiopathic aseptic necrosis of the bilateral femoral head and bilateral rotator cuff repaired surgery due to multiple motor vehicle accidents (MVA) with a chief concern of chronic low back pain. In this case of ankylosing spondylitis presenting with low back pain and radicular symptoms, his symptoms were resistant to multiple opioid medications, trigger point injections, and epidural steroid injections. Initiation of adalimumab subsequently relieved the patient’s symptoms and restored his ability to perform daily activities. Conclusions: This is an unusual presentation of AS with radiographic evidence of bilateral sacroiliitis. The neurological manifestations in AS are not uncommon, and they can occur during the quiescent stage of the disease. It should be emphasized that early diagnosis is essential to prevent progression of the disease and avoid unnecessary treatment for the patient.