Miracle-dz/UniFAR-FTUs huggingface dataset:
Dexmedetomidine Alleviates Lung Oxidative Stress Injury Induced by Ischemia-Reperfusion in Diabetic Rats via the Nrf2-Sulfiredoxin1 Pathway

Oxidative stress injury (OSI) is an important pathological process in lung ischemia-reperfusion injury (LIRI), and diabetes mellitus (DM) can exacerbate this injury. Dexmedetomidine protects against LIRI by reducing OSI. However, the effect of dexmedetomidine on LIRI under diabetic conditions remains unclear. Therefore, this study is aimed at exploring the effects and mechanisms of dexmedetomidine on OSI induced by LIRI in diabetic rats. Rats were randomly divided into control+sham (CS), DM+sham (DS), control+ischemia-reperfusion (CIR), DM+ischemia-reperfusion (DIR), and DM+ischemia-reperfusion+dexmedetomidine (DIRD) groups (n = 6). In the CS and DS groups, the nondiabetic and diabetic rats underwent thoracotomy only without LIRI. In the CIR, DIR, and DIRD groups, LIRI was induced through left hilum occlusion for 60 min, followed by reperfusion for 120 min in nondiabetic and diabetic rats, and rats in the DIRD group were administered dexmedetomidine (3, 5, and 10 μg/kg). Compared with those in the CS group, the OSI, lung compliance, apoptosis, and oxygenation indices deteriorated in the DS group (P < 0.05), and these indices were further aggravated in the CIR and DIR groups (P < 0.05), being the worst in the DIR group (P < 0.05). Compared to those of the DIR group, the OSI, lung compliance (15.8 ± 2.4 vs. 11.6 ± 1.7 ml/kg), apoptosis (22.5 ± 2.6 vs. 51.8 ± 5.7), oxygenation (381 ± 58 vs. 308 ± 78 mmHg), and caspase-3 and caspase-9 protein expression indices were attenuated, and Nrf2 and sulfiredoxin1 protein expression was increased in the DIRD group (P < 0.05). And the lung injury, oxygenation, OSI, and Nrf2 and sulfiredoxin1 protein expression changed in a concentration-dependent manner. In conclusion, dexmedetomidine alleviated lung OSI and improved lung function in a diabetic rat LIRI model through the Nrf2-sulfiredoxin1 pathway.
OSM: Off-Chip Shared Memory for GPUs

Graphics Processing Units (GPUs) employ a shared memory, a software-managed cache for programmers, in each streaming multiprocessor to accelerate data sharing among the threads in a thread block. Although 60% of the shared memory space is underutilized, on average, there are some workloads that demand higher shared memory capacities. Therefore, improving shared memory utilization while satisfying the needs of shared memory intensive workloads is challenging. We make a key observation that the lifetime of each shared memory address is significantly shorter than the execution time of a thread block. In this paper, we first propose Off-Chip Shared Memory (OSM) that allocates shared memory space in the off-chip memory and accelerates accesses to it via a small on-chip cache. Using an 8KB cache for shared memory addresses, OSM provides almost the same performance as the baseline GPU that uses 96KB on-chip shared memory. OSM improves GPU performance in two ways. First, it allocates higher shared memory capacities in the off-chip memory, and improves thread-level parallelism (TLP). Second, it designs a unified cache for shared memory and global address spaces, providing more caching space for global memory address space even for the workloads with high shared memory utilization. Our experimental results show an average 21% and 18% IPC improvement compared to the baseline and the state-of-the-art architectures.
Towards Next-Generation Sequencing (NGS)-Based Newborn Screening: A Technical Study to Prepare for the Challenges Ahead

Newborn screening (NBS) aims to identify neonates with severe conditions for whom immediate treatment is required. Currently, a biochemistry-first approach is used to identify these disorders, which are predominantly inherited meta1bolic disorders (IMD). Next-generation sequencing (NGS) is expected to have some advantages over the current approach, for example the ability to detect IMDs that meet all screening criteria but lack an identifiable biochemical footprint. We have now designed a technical study to explore the use of NGS techniques as a first-tier approach in NBS. Here, we describe the aim and set-up of the NGS-first for the NBS (NGSf4NBS) project, which will proceed in three steps. In Step 1, we will identify IMDs eligible for NGS-first testing, based on treatability. In Step 2, we will investigate the feasibility, limitations and comparability of different technical NGS approaches and analysis workflows for NBS, eventually aiming to develop a rapid NGS-based workflow. Finally, in Step 3, we will prepare for the incorporation of this workflow into the existing Dutch NBS program and propose a protocol for referral of a child after a positive NGS test result. The results of this study will be the basis for an additional analytical route within NBS that will be further studied for its applicability within the NBS program, e.g., regarding the ethical, legal, financial and social implications.
Intelligent Fault Diagnosis of Bearings based on Convolutional Neural Network using Infrared Thermography

Bearings, as a key part of rotating machinery, are prone to failure due to fatigue and aging resulting from their long-term and high-load operation. To ensure stability of the mechanical equipment, monitoring bearing health is helpful to guarantee smooth operation of machinery and increasing machinery availability. This article puts forward an intelligent non-invasive thermal images-based fault diagnostic approach to periodically monitor condition of the rolling contact bearings in respect of their deterioration due to defects on the inner race, outer race and balls/rollers. Thermal images of four bearing conditions, including one healthy and three faulty states, have been considered followed by a performance classification based comparative analysis using Support Vector Machines (SVM) and Convolutional Neural Network (CNN). The CNN consists of many tools under its cap but for this work, the AlexNet architecture is used which has proved to be more effective than SVM. The experimental findings reveal that non-contact infrared thermography has enormous potential for automatically identifying problems and detecting early warning, regardless of speed, resulting in negligible shutdowns of the system due to bearing failure.
Students’ Perception in Using E-Learning for English Writing Activity

Applying of Information Communication and Technology (ICT) has played a major part in educational system. Besides, the canvas of English language teaching has also experienced in emerging technology into the classroom since it provides the platform to develop students’ second language learning. The kinds of application through computers and smartphones have many applied by educators as the strategies and approaches in language teaching and learning, including for writing skill. Since writing is argued as one of difficult skill which needs some processes, emerging the technology can be one of choices for a new writing learning that is able to enhance students’ writing performance. Today, E-Learning application is one of platform that has been many used by educational institution. E-Learning facilitates some features that can be also applied for language learning purposes. Thus, this paper aims to give the overview about students’ perception in using E-Learning for writing learning application since it provides the platform for writing activity. A descriptive research is employed and there are 22 students of third semester at English Education Study Program of Universitas Negeri Padang as the respondents. The data of the research are obtained through the questionnaire and interview. The result showed that the majority of the students share positive perception towards the using E-Learning for writing activity .
A Central Nervous System Focused Treatment Program for People with Frozen Shoulder: A Feasibility Study

Background: Frozen shoulder (FS) is a highly disabling pathology of poorly understood etiology, which is characterized by the presence of intense pain and progressive loss of range of motion (ROM). The aim of this study is to evaluate the feasibility and clinical impact of a CNS-focused treatment program for people with FS. Methods: 10 subjects with primary FS received a 10-week CNS-focused intervention including sensory discrimination training and graded motor imagery techniques delivered as clinic sessions (60 min) and home therapy (30 min five times per week). Measurements were taken at baseline, after a 2-week “washout” period, after treatment, and at three months follow-up. The Shoulder Pain and Disability Index (SPADI) was the primary outcome. Secondary measures were feasibility-related outcomes, self-reported shoulder pain, active and passive range of motion, two-point discrimination threshold (TPDT), left/right judgement task (LRJT), fear-avoidance (Tampa Scale for Kinesiophobia), pain catastrophization (Pain Catastrophizing Scale), and pain sensitization (Central Sensitization Inventory). A Student’s t-test was used to assess the “washout” period. A repeated measure analysis of variance (ANOVA) was used to evaluate within-subjects’ differences for all outcome measures in the different assessment periods and a pairwise analysis was used to compare between the different assessment points. Statistical significance was set at p < 0.05. Results: 70% of participants completed the treatment. No significant changes were found after “washout” period except for TPDT (p = 0.02) and SPADI (p = 0.025). Improvements in self-reported shoulder pain (p = 0.028) and active shoulder flexion (p = 0.016) were shown after treatment (p = 0.028) and follow-up (p = 0.001) and in SPADI at follow-up (p = 0.008). No significant changes were observed in TPDT, LRJT, fear-avoidance, pain catastrophization, and pain sensitization. Conclusions: a CNS-focused treatment program might be a suitable approach to improve pain and disability in FS, but further research is needed to draw firm conclusions.
Impact of pediatric versus adult colonoscope on terminal ileum intubation: a retrospective study

Background Various possible predictors of successful terminal ileal intubation (TII) have been explored but the role of the type of colonoscope is unclear. Methods We carried out a retrospective review of a prospectively collected database of all colonoscopies performed at a single endoscopy unit between May 2015 and July 2020. The primary outcome measure was successful TII in patients with specific indications for ileal examination. The primary predictor was the type of endoscope, pediatric or adult, used during the procedure. Univariate and multivariate analyses were performed. Results In 5845 colonoscopies fulfilling the study criteria, the overall TII rate was 67.8%. In univariate analysis, the use of a pediatric colonoscope was associated with a higher TII rate (72.1% vs. 58.8%, P<0.001). Other variables associated with successful TII based on univariate analysis included the patient’s age, male sex, body mass index, endoscopists’ specialty, place of training, shorter colonoscope insertion time, shorter duration of the procedure, longer withdrawal time, procedures performed in the afternoon, type of sedation administered during colonoscopy, and cleanliness of the colon. Multivariate analysis yielded an adjusted odds ratio (OR) of 1.40 (95% confidence interval [CI] 1.21-1.62) for the use of a pediatric colonoscope. Propensity score-matching analysis also showed superiority of the pediatric colonoscope in achieving TII compared to an adult colonoscope, OR 1.35 (95%CI 1.17-1.57). Conclusions Pediatric colonoscope increases the success of TII during colonoscopy. For endoscopists performing colonoscopy with intent to examine the terminal ileum, it is recommended to choose a pediatric colonoscope to maximize the success rate.
Smart Environments in Support of Fragile and Isolated Older Adults: Protocol for the City of Côte Saint-Luc's Living Lab

In the context of an aging population, 5.6 million people in Canada are suffering from social isolation and this is a key factor contributing to frailty because it promotes the onset of cognitive impairment, depression, and dependency in older adults. The COVID-19 pandemic and the demands of social distancing have particularly affected older adults by increasing their exposure to social isolation and medical complications. In addition, the pandemic has highlighted the vulnerability of the health and social services system and the importance of exploring community involvement and telehealth solutions – such as telemonitoring activities of daily living (ADLs). This paper presents the protocol of a living lab project that aims to co-develop a support model around the telemonitoring of ADLs at the scale of a city, Côte Saint-Luc. In particular, the project seeks to optimize older adults’ identification and use of resources available in the community. These resources include services from the city, the health and social services system, and community organizations, and support from families and community volunteers. With the support of telemonitoring, this ecosystem could enable seniors to live at home for longer. a https://orcid.org/0000-0002-2940-694X b https://orcid.org/0000-0002-0088-3865 c https://orcid.org/0000-0003-3476-9822 d https://orcid.org/0000-0003-2242-8369 e https://orcid.org/0000-0001-8417-6609 f https://orcid.org/0000-0001-5520-5677 g https://orcid.org/0000-0003-2830-2548 h https://orcid.org/0000-0003-3474-9784 i https://orcid.org/0000-0001-7777-9989 j https://orcid.org/0000-0002-5811-2932 k https://orcid.org/0000-0001-7425-1994 l https://orcid.org/0000-0001-7749-3470 m https://orcid.org/0000-0002-5227-6602 n https://orcid.org/0000-0002-1995-6307 o https://orcid.org/0000-0003-0602-5957 Bier, N. , Couture, M. , Tannou, T. , Bottari, C. , Lihoreau, T. , Pigot, H. , Pelayo, S. , Ferrer, X. , Wang, R. , Gouin-Vallerand, C. , Paré, G. , Gaboury, S. , Bouchard, K. , Smele, S. and Giroux, S. Smart Environments in Support of Fragile and Isolated Older Adults: Protocol for the City of Côte Saint-Luc’s Living Lab. DOI: 10.5220/0010970900003123 In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) Volume 5: HEALTHINF, pages 883-891 ISBN: 978-989-758-552-4; ISSN: 2184-4305 Copyright c © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved 883
Dampak Mediasi Loyalitas Kerja pada Lingkungan, Motivasi, Kompensasi dan Kepuasan Kerja terhadap Kinerja Karyawan

This study aims to analyze the impact of the work environment, employee motivation, company compensation, and job satisfaction on employee performance through employee work loyalty as a mediating variable at the Melinda Kediri Mother and Child Hospital (RSIA). This study used a sample of 50 employees. The sampling technique used is the saturated sampling technique. Data collection techniques using primary and secondary data. The data analysis technique used is Path Analysis and is supported by Sobel test calculations. The results of the research analysis show that based on the regression equation model 1 environment, motivation, compensation and job satisfaction have a positive and significant influence on employee work loyalty. Based on the regression equation model 2, environment, motivation, compensation and job satisfaction are not significant on employee performance, while employee work loyalty has a significant positive effect on employee performance. Based on the regression equation model 1 and 2, loyalty is able to mediate the influence of the environment, motivation, compensation and job satisfaction on the performance of the employees of the Melinda Kediri Mother and Child Hospital (RSIA)
Use of artificial intelligence to characterize renal tumors

We are living in the era of the 4th industrial revolution, which is characterized by the convergence of information and communication technologies. Among the elements of the 4th industrial revolution, artificial intelligence (AI), which is the biggest component, refers to the computational capability of machines to mimic and perform human cognitive tasks. Such developments are already affecting many aspects of our lives, such as shopping, music, art, autonomous driving, and the medical field. AI can deliver consistent results without personal feelings, save time and money, and reduce human labor via automation. Machine learning uses algorithms to analyze data, learn from that data, and make informed decisions based on what it learns. Deep learning is a technique for creating artificial neural networks that can learn on their own and make intelligent decisions by organizing algorithms into layers. An artificial neural network can be created by stacking several mathematically modeled artificial neurons. The word deep in deep learning does not mean that you gain any deep insights. Rather, it simply represents the concept of learning in successive layers, where through these layers, reliability increases. A well-trained artificial neural network can perform complex data processing quickly and powerfully. The success of deep learning is due to the development of algorithms that overcome the limitations of existing neural networks, as well as hardware improvements such as graphics processing unit and big data. Today, AI is applied in medicine and health care to improve clinical decision-making. Renal cell carcinoma (RCC) is a heterogeneous tumor and each of its subtypes has an associated biological behavior, clinical course, and response to therapy. AI-based applications and research to characterize renal tumors have significantly increased recently, demonstrating diagnostic, prognostic, and predictive accuracy. DIFFERENTIATION OF BENIGN AND MALIGNANT RENAL TUMORS
Approximate Model for Stress Assessment Using Electroencephalogram Signal

Mental stress is a problem that people may often face. Although there are some psychobiological stress measurement methods based on electroencephalogram (EEG) signals, these methods use expensive medical equipment to gather multichannel signals and cannot measure stress in real time in daily life. Many novel wearable devices now have a sensor for physiological signal detection, which helps people manage health conditions. Several studies have recently investigated the application of wearable devices to stress detection. In this paper, an approximate model based on an EEG signal is designed for measuring stress. To establish the connection between the EEG and electrocardiogram signals, we use wearable devices to simultaneously collect the two types of data from volunteers. The exponentially weighted moving average is used to smooth out the EEG power spectrum features (α, β, etc.). An EEGbased feature vector is constructed to predict stress scores, with polynomial regression used to build the model. The experimental results show that the proposed method achieves a symmetric mean absolute percentage error of 17.44 and a root mean square error of 11.26.
Evaluation of Sentinel-2/MSI Atmospheric Correction Algorithms over Two Contrasted French Coastal Waters

The Sentinel-2A and Sentinel-2B satellites, with on-board Multi-Spectral Instrument (MSI), and launched on 23 June 2015 and 7 March 2017, respectively, are very useful tools for studying ocean color, even if they were designed for land and vegetation applications. However, the use of these satellites requires a process called “atmospheric correction”. This process aims to remove the contribution of the atmosphere from the total top of atmosphere reflectance measured by the remote sensors. For the purpose of assessing this processing, seven atmospheric correction algorithms have been compared over two French coastal regions (English Channel and French Guiana): Image correction for atmospheric effects (iCOR), Atmospheric correction for OLI ‘lite’ (ACOLITE), Case 2 Regional Coast Colour (C2RCC), Sentinel 2 Correction (Sen2Cor), Polynomial-based algorithm applied to MERIS (Polymer), the standard NASA atmospheric correction (NASA-AC) and the Ocean Color Simultaneous Marine and Aerosol Retrieval Tool (OC-SMART). The satellite-estimated remote-sensing reflectances were spatially and temporally matched with in situ measurements collected by an ASD FieldSpec4 spectrophotometer. Results, based on 28 potential individual match-ups, showed that the best performance processor is OC-SMART with the highest values for the total score Stot (16.89) and for the coefficient of correlation R2 (ranging from 0.69 at 443 nm to 0.92 at 665 nm). iCOR and Sen2Cor show the less accurate performances with total score Stot values of 2.01 and 7.70, respectively. Since the size of the in situ observation platform can be significant compared to the pixel resolution of MSI onboard Sentinel-2, it can create bias in the pixel extraction process. Thus, to study this impact, we used different methods of pixel extraction. However, there are no significant changes in results; some future research may be necessary.
Emerging Glycation-Based Therapeutics—Glyoxalase 1 Inducers and Glyoxalase 1 Inhibitors

The abnormal accumulation of methylglyoxal (MG) leading to increased glycation of protein and DNA has emerged as an important metabolic stress, dicarbonyl stress, linked to aging, and disease. Increased MG glycation produces inactivation and misfolding of proteins, cell dysfunction, activation of the unfolded protein response, and related low-grade inflammation. Glycation of DNA and the spliceosome contribute to an antiproliferative and apoptotic response of high, cytotoxic levels of MG. Glyoxalase 1 (Glo1) of the glyoxalase system has a major role in the metabolism of MG. Small molecule inducers of Glo1, Glo1 inducers, have been developed to alleviate dicarbonyl stress as a prospective treatment for the prevention and early-stage reversal of type 2 diabetes and prevention of vascular complications of diabetes. The first clinical trial with the Glo1 inducer, trans-resveratrol and hesperetin combination (tRES-HESP)—a randomized, double-blind, placebo-controlled crossover phase 2A study for correction of insulin resistance in overweight and obese subjects, was completed successfully. tRES-HESP corrected insulin resistance, improved dysglycemia, and low-grade inflammation. Cell permeable Glo1 inhibitor prodrugs have been developed to induce severe dicarbonyl stress as a prospective treatment for cancer—particularly for high Glo1 expressing-related multidrug-resistant tumors. The prototype Glo1 inhibitor is prodrug S-p-bromobenzylglutathione cyclopentyl diester (BBGD). It has antitumor activity in vitro and in tumor-bearing mice in vivo. In the National Cancer Institute human tumor cell line screen, BBGD was most active against the glioblastoma SNB-19 cell line. Recently, potent antitumor activity was found in glioblastoma multiforme tumor-bearing mice. High Glo1 expression is a negative survival factor in chemotherapy of breast cancer where adjunct therapy with a Glo1 inhibitor may improve treatment outcomes. BBGD has not yet been evaluated clinically. Glycation by MG now appears to be a pathogenic process that may be pharmacologically manipulated for therapeutic outcomes of potentially important clinical impact.
Automatic Gamma correction system for liquid crystal projector

In order to improve the image gradations of the liquid crystal(LC) projector,an automatic Gamma correction system was established to compensate for the S-shape transmittance character line of the LC.The system measures the luminance output of the LC projector using photocell by controlling each channel's look-up-table(LUT) in the driving circuit to output signals from small to large,so as to obtain the transmittance character line.Then the Gamma data are generated automatically according to the line and sent to the LUT real-time.Experimental results showed that after Gamma correction,the luminance outputted by the LC projector accorded perfectly with the theoretical power function.The percentage luminance error was within-1%~1%,and the outputted image recurred every gradation.