Miracle-dz/UniFAR-FTUs huggingface dataset:
Experience and Perceptions of Changes in the Living Environment by Older People Losing Their Autonomy: A Qualitative Study in the Caribbean

Rationale Although the literature recognizes the importance of older individuals’ subjective perceptions about their living environments, past studies on the subject have been primarily restricted to nursing home settings. Objective This study aimed to better understand the experiences, perceptions, coping mechanisms, and needs of older people living in Martinique who had to modify their living environment because of a decline of autonomy. Design Qualitative study using content analysis. Methods Semi-structured one-on-one interviews were conducted with older people living in three different types of environment i) at home with professional support, ii) in a foster care family, iii) in a nursing home. Interviews were conducted until data saturation was reached. A conventional content analysis approach was used. Results Thirty-four participants were interviewed. Subjects perceived ageing as a factor leading to changes in their living environment. However, they did not spontaneously evoke their functional/structural impairments nor their activity limitations as if the change of living environment could reduce the perceived loss of autonomy by maintaining an acceptable participation. Participants mostly experienced change as both inevitable and as a relief as it took them out of isolation and domestic hardship. This reaction was somewhat facilitated by spiritual beliefs as the changes were interpreted as the will of spiritual forces. Family and social relationships appeared to be more important determinants of participants’ perception of changes in living environment than was health status. We found differences between the three groups regarding familial relationship, fear of death, acceptance of change, and unmet needs. Unmet needs were particularly expressed by those living in foster care. The concept of “feeling at home”, which emerged as essential for all participants, was lacking in foster care families. Conclusion Perceived autonomy, including not only functional/structural impairments, but also, social interactions, should be carefully considered when developing support services for older individuals.
Elderly Perception on the Internet of Things-Based Integrated Smart-Home System

An integrated smart home system (ISHS) is an effective way to improve the quality of life of the elderly. The elderly’s willingness is essential to adopt an ISHS; to the best of our knowledge, no study has investigated the elderly’s perception of ISHS. Consequently, this study aims to investigate the elderly’s perception of the ISHS by comprehensively evaluating its possible benefits and negative responses. A set of sensors required for an ISHS was determined, and interviews were designed based on four factors: perceived comfort, perceived usability, perceived privacy, and perceived benefit. Subsequently, technological trials of the sensor-set followed by two focus group interviews were conducted on nine independently living elderly participants at a senior welfare center in South Korea. Consistent with previous studies, the results of this investigation indicate that elderly participants elicited negative responses regarding usability complexity, and discomfort to daily activities. Despite such negative responses, after acquiring enough awareness about the ISHS’s benefits, the elderly acknowledged its necessity and showed a high level of willingness. Furthermore, these results indicate that for a better adoption of an ISHS, sufficient awareness regarding its benefits and development of elderly-friendly smart home sensors that minimize negative responses are required.
Investigation on Fabrication of Reduced Graphene Oxide-Sulfur Composite Cathodes for Li-S Battery via Hydrothermal and Thermal Reduction Methods

Lithium-sulfur (Li-S) battery is considered one of the possible alternatives for next-generation high energy batteries. However, its practical applications are still facing great challenges because of poor electronic conductivity, large volume change, and polysulfides dissolution inducing “shuttle reaction” for the S cathode. Many strategies have been explored to alleviate the aforementioned concerns. The most common approach is to embed S into carbonaceous matrix for constructing C-S composite cathodes. Herein, we fabricate the C-S cathode reduced graphene oxide-S (rGO-S) composites via one step hydrothermal and in-situ thermal reduction methods. The structural features and electrochemical properties in Li-S cells of the two type rGO-S composites are studied systematically. The rGO-S composites prepared by one step hydrothermal method (rGO-S-HT) show relatively better comprehensive performance as compared with the ones by in-situ thermal reduction method (rGO-S-T). For instance, with a current density of 100 mA g−1, the rGO-S-HT composite cathodes possess an initial capacity of 1290 mAh g−1 and simultaneously exhibit stable cycling capability. In particular, as increasing the current density to 1.0 A g−1, the rGO-S-HT cathode retains a reversible capacity of 582 mAh g−1 even after 200 cycles. The enhanced electrochemical properties can be attributed to small S particles uniformly distributed on rGO sheets enabling to significantly improve the conductivity of S and effectively buffer large volume change during lithiation/delithiation.
Image based analysis of meibomian gland dysfunction using conditional generative adversarial neural network

Objective Meibomian gland dysfunction (MGD) is a primary cause of dry eye disease. Analysis of MGD, its severity, shapes and variation in the acini of the meibomian glands (MGs) is receiving much attention in ophthalmology clinics. Existing methods for diagnosing, detection and analysing meibomianitis are not capable to quantify the irregularities to IR (infrared) images of MG area such as light reflection, interglands and intraglands boundaries, the improper focus of the light and positioning, and eyelid eversion. Methods and analysis We proposed a model that is based on adversarial learning that is, conditional generative adversarial network that can overcome these blatant challenges. The generator of the model learns the mapping from the IR images of the MG to a confidence map specifying the probabilities of being a pixel of MG. The discriminative part of the model is responsible to penalise the mismatch between the IR images of the MG and confidence map. Furthermore, the adversarial learning assists the generator to produce a qualitative confidence map which is transformed into binary images with the help of fixed thresholding to fulfil the segmentation of MG. We identified MGs and interglands boundaries from IR images. Results This method is evaluated by meiboscoring, grading, Pearson correlation and Bland-Altman analysis. We also judged the quality of our method through average Pompeiu-Hausdorff distance, and Aggregated Jaccard Index. Conclusions This technique provides a significant improvement in the quantification of the irregularities to IR. This technique has outperformed the state-of-art results for the detection and analysis of the dropout area of MGD.
Single-Molecule Förster Resonance Energy Transfer-Based Photosensitizer for Synergistic Photodynamic/Photothermal Therapy

Photosensitizers (PSs) inevitably release a large amount of energy in the form of fluorescence during photodynamic therapy (PDT). However, under the premise of satisfying fluorescence imaging, a large amount of energy is lost, which limits the efficiency of tumor therapy. Accordingly, in this study, we developed a new strategy (BDP-CR) using the single-molecule Förster resonance energy transfer (smFRET) mechanism to transfer part of the fluorescent energy into heat for combined PDT and photothermal therapy (PTT) featuring the “1 + 1 > 2” amplification effect. Under the 671 nm light irradiation, BDP-CR can produce singlet oxygen (1O2) for PDT based on the BDP moiety and also generate hyperthermia to achieve the PTT effect by exciting CR based on the smFRET effect, which effectively kills cancer cells both in vitro and in vivo. This strategy exhibits a broad absorption peak with strong light-harvesting ability, which improves photon utilization for treatment while realizing fluorescence imaging. Of note, owing to the smFRET effect, we achieve a combination treatment outcome at relatively low concentrations and light doses. Thus, we believe that this design concept will provide a new strategy for single-molecule FRET photosensitizers in combination therapy of cancer with potential clinical application prospects.
Use of suction during endoscopic ultrasound-guided fine needle biopsy of solid pancreatic lesions with a Franseen-tip needle: a pilot comparative trial

Abstract Background and study aims The utility of suction during endoscopic ultrasound (EUS) fine-needle biopsy (FNB) using Franseen-tip needle remains unclear and has not been evaluated in randomized trials. We designed a randomized crossover trial to compare the diagnostic yield during EUS-FNB using a 22G Franseen-tip needle, with and without standard suction. Patients and methods Consecutive patients undergoing EUS-guided sampling of solid pancreatic lesions were recruited. A minimum of two passes were performed for each case: one with 20-mL syringe suction (S+) and another without (S–). The order of passes was randomized and the pathologist blinded. The endpoints were the diagnostic yield and the impact of blood contamination in the diagnosis. Results Fifty consecutive patients were enrolled. The overall diagnostic accuracy was 84 %. A diagnosis of malignancy was obtained in 70 samples: 36 in the S+group and 34 in the S–group. A statistically significant difference was seen in the diagnostic accuracy (S+: 78 % vs. S–: 72 %, P < 0.01) and blood contamination (S+: 68 %; S–: 44 %, P < 0.01). The sensitivity, specificity, negative likelihood ratio and positive likelihood ratio for S+vs. S–samples were 76.6 % vs. 73.9 %, 100 % vs. 100 % and 0.23 vs. 0.26, NA vs NA, respectively. A negative impact of blood contamination in the overall diagnostic yield wasn’t seen, even in samples where suction was used (OR 0.36, P = 0.15) Conclusions We found a higher diagnostic yield with the use of suction. It was associated with a higher degree of sample blood contamination that did not affect the diagnostic performance.
Use of Phil Embolic Agent for Bleeding in Non-Neurological Interventions

Objective: To evaluate the safety and efficacy of the Phil liquid embolic agent in non-neurological embolization procedures. M&M: Thirty-five patients with a mean age of 62.5 years underwent percutaneous embolization using Phil for the treatment of visceral arterial bleedings in 20/35 patients (including three gluteal, one bladder, two superior mesenteric, three epigastric, one deep femoral, five internal iliac, four intercostal, and one lingual arteries), splanchnic pseudoaneurysms in 11/35 patients (including three hepatic, five splenic, and three renal arteries), pancreatic bleeding metastasis in 1/35 patient, and gastric bleeding varices in 3/35 patients. Phil is composed of a non-adhesive copolymer dissolved in DMSO (Anhydrous Dimethyl Sulfoxide) with different viscosity. Procedures were performed slowly under continuous fluoroscopic guidance to avoid embolization of non-target vessels. Results: Clinical success was obtained with a single intervention in 34 cases (97.15%), while a repeated procedure was required in one case (2.85%). No technical complications nor non-target embolization occurred. A case of post-embolic syndrome was noted (2.85%) in one patient. DMSO administration-related pain was successfully controlled by medical therapy. Conclusion: Phil can be considered a safe and effective embolic agent for the treatment of non-neurologic bleeding.
The Paradoxes of Viral mRNA Translation during Mammalian Orthoreovirus Infection

De novo viral protein synthesis following entry into host cells is essential for viral replication. As a consequence, viruses have evolved mechanisms to engage the host translational machinery while at the same time avoiding or counteracting host defenses that act to repress translation. Mammalian orthoreoviruses are dsRNA-containing viruses whose mRNAs were used as models for early investigations into the mechanisms that underpin the recognition and engagement of eukaryotic mRNAs by host cell ribosomes. However, there remain many unanswered questions and paradoxes regarding translation of reoviral mRNAs in the context of infection. This review summarizes the current state of knowledge about reovirus translation, identifies key unanswered questions, and proposes possible pathways toward a better understanding of reovirus translation.
The Psychometric Properties of General Adherence Scale in Chinese (GAS-C) in Patients with Type 2 Diabetes Using Insulin

Purpose Translate General Adherence Scale (GAS) into Chinese and test its psychometric properties in middle-aged and elderly type 2 diabetes (T2D) patients using insulin in the Han people of urban China. Subjects and Methods We translated the GAS into Chinese and established General Adherence Scale in Chinese (GAS-C). 136 T2D subjects were selected for testing GAS-C’s reliability and validity, of which 100 study subjects were retested with GAS-C two weeks later. The other 200 T2D subjects were selected for performing Confirmatory Factor Analysis(CFA). The ceiling effect and floor effect of GAS-C data were checked. Results No data was lost in our research. In exploratory factor analysis(EFA), the Kaiser-Meyer-Olkin measure of sampling adequacy (KMO) =0.899, Bartlett’s Test’s χ2=611.821 (df=10 p<0.001). The communalities of the items were between 0.740 and 0.862; The values of Measure of Sampling Adequacy (MSA) were between 0.883 and 0.945. All five items entered the factor analysis process. A common factor was extracted, and it could explain 81.403% of the total variance. CFA validated the.one-factor model was good fits with the data of GAS-C (Ratio of Chi-square to Degrees of Freedom (CMIN/DF)=2.032, Goodness of Fit Index (GFI) =0.981, Comparative Fit Index (CFI) =0.996, Tucker–Lewis Index (TLI) =0.992, Root Mean Square Residual (RMR) =0.011, Root Mean Square Error of Approximation (RMSEA) =0.072). Correlation analysis was performed between GAS-C and MMAS-8 to calculate the criterion-related validity (r=0.542 p<0.001). The internal consistency reliability α=0.942, Intraclass Correlation Coefficient (ICC)= 0.941 (95% CI 0.924–0.955). The correlation coefficient r of the test-retest reliability was 0.772 (p<0.001). Spearman-Brown coefficient of split-half was 0.939. There was no floor effect and ceiling effect on the data. Conclusion GAS-C has good reliability and validity. It can be used for general adherence studies of middle-aged and elderly type 2 diabetic patients using insulin in the Han people of Chinese cities.
Factors Predictive of Medical Student Involvement in Research: Results from a New Zealand Institution

Background Previous studies have elucidated several benefits of engagement in research by medical students. The aim of the current study was to assess if any factors influenced the student’s actual involvement (not mere interest) in scholarly activities during medical school. Methods All medical students at the University of Otago were invited via e-mail to complete an online questionnaire. The outcome was a substantial contribution to a research project. The predictors were prior research experience, student’s entry route, and planned career type. Multiple regression analysis was undertaken to control for any confounding factors influencing medical students’ involvement in research. Results Valid responses were gathered from 669 students (yielding a response rate of 44.8%). Of those, 254 students (38.3%) had engaged in one or more research activities. Students who engaged in research activities indicated a higher likelihood of future involvement in research but expressed less interest in internal medicine sub-specialties as potential future careers. Conclusion A sizeable proportion of our samples has been involved in the research. Targeting medical students not yet involved in research may necessitate additional curricular and faculty support in order to stimulate their research curiosity.
Electrochemical Behavior of Stainless Steel under High-Temperature and High-Pressure Methanol Solution Containing Oxygen and Chloride Ions

The effect of oxygen and water in a methanol solution containing 0.42 wt% LiCl on the corrosion behavior of Type 316L stainless steel was evaluated by anodic polarization and electrochemical impedance spectroscopy (EIS) at 423 K and 473 K. The Ecorr values in an aerated methanol solution decreased with immersion time and became almost the same as that observed in a deaerated methanol solution after 5 h. The dissolved oxygen molecules temporarily improved the corrosion resistance, judging from the increase in Ea (anodic dissolution potential). This effect of oxygen molecules was not observed with the immersion time, consequently the anodic polarization curve became almost similar to that obtained in the absence of them. While the localized tarnish was observed in the aerated methanol solution with lower water contents, many pits formed when the water content increased. At 423 K, a corrosive effect of oxygen in the methanol solution was exhibited in the presence of water and pitting corrosion and autocatalytic reaction were observed. On the other hand, no corrosion occurred at 473 K, regardless of the oxygen and water concentrations.
Time-Resolved Transcriptional Profiling of Epithelial Cells Infected by Intracellular Acinetobacter baumannii

The rise in the number of antibiotic-resistant bacteria has become a serious threat to health, making it important to identify, characterize and optimize new molecules to help us to overcome the infections they cause. It is well known that Acinetobacter baumannii has a significant capacity to evade the actions of antibacterial drugs, leading to its emergence as one of the bacteria responsible for hospital and community-acquired infections. Nonetheless, how this pathogen infects and survives inside the host cell is unclear. In this study, we analyze the time-resolved transcriptional profile changes observed in human epithelial HeLa cells after infection by A. baumannii, demonstrating how it survives in host cells and starts to replicate 4 h post infection. These findings were achieved by sequencing RNA to obtain a set of Differentially Expressed Genes (DEGs) to understand how bacteria alter the host cells’ environment for their own benefit. We also determine common features observed in this set of genes and identify the protein–protein networks that reveal highly-interacted proteins. The combination of these findings paves the way for the discovery of new antimicrobial candidates for the treatment of multidrug-resistant bacteria.
Morphology of Ga2O3 Nanowires and Their Sensitivity to Volatile Organic Compounds

Gas sensitive structures made of nanowires exhibit extremally large specific surface area, and a great number of chemically active centres that can react with the ambient atmosphere. This makes the use of nanomaterials promising for super sensitive gas sensor applications. Monoclinic β-Ga2O3 nanowires (NWs) were synthesized from metallic gallium at atmospheric pressure in the presence of nitrogen and water vapor. The nanowires were grown directly on interdigitated gold electrodes screen printed on Al2O3 substrates, which constituted the gas sensor structure. The observations made with transmission electron microscope (TEM) have shown that the nanowires are monocrystalline and their diameters vary from 80 to 300 nm with the average value of approximately 170 nm. Au droplets were found to be anchored at the tips of the nanowires which may indicate that the nanowires followed the Vapor–Liquid–Solid (VLS) mechanism of growth. The conductivity of β-Ga2O3 NWs increases in the presence of volatile organic compounds (VOC) even in the temperature below 600 °C. The gas sensor based on the synthesized β-Ga2O3 NWs shows peak sensitivity to 100 ppm of ethanol of 75.1 at 760 °C, while peak sensitivity to 100 ppm of acetone is 27.5 at 690 °C.
Nondestructive Detection of the Gel State of Preserved Eggs Based on Dielectric Impedance

After completing the production of preserved eggs, traditionally, the degree of gelling is judged by allowing workers to tap the preserved eggs with their fingers and sense the resulting oscillations. The amount of oscillation is used for the quality classification. This traditional method produces varying results owing to the differences in the sensitivity of the individual workers, who are not objective. In this study, dielectric detection technology was used to classify the preserved eggs nondestructively. The impedance in the frequency range of 2–300 kHz was resolved into resistance and reactance, and was plotted on a Nyquist diagram. Next, the diagram curve was fitted in order to obtain the equivalent circuit, and the difference in the compositions of the equivalent circuits corresponding to gelled and non-gelled preserved eggs was analyzed. A preserved egg can be considered an RLC series circuit, and its decay rate is consistent with the decay rate given by mechanical vibration theory. The Nyquist diagrams for the resistance and reactance of preserved eggs clearly showed that the resistance and reactance of gelled and non-gelled eggs were quite different, and the classification of the eggs was performed using Bayesian network (BN). The results showed that a BN classifier with two variables, i.e., resistance and reactance, can be used to classify preserved eggs as gelled or non-gelled, with an accuracy of 81.0% and a kappa value of 0.62. Thus, a BN classifier based on resistance and reactance demonstrates the ability to classify the quality of preserved egg gel. This research provides a nondestructive method for the inspection of the quality of preserved egg gel, and provides a theoretical basis for the development of an automated preserved egg inspection system that can be used as the scientific basis for the determination of the quality of preserved eggs.
Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning

Dexterous manipulation of the robot is an important part of realizing intelligence, but manipulators can only perform simple tasks such as sorting and packing in a structured environment. In view of the existing problem, this paper presents a state-of-the-art survey on an intelligent robot with the capability of autonomous deciding and learning. The paper first reviews the main achievements and research of the robot, which were mainly based on the breakthrough of automatic control and hardware in mechanics. With the evolution of artificial intelligence, many pieces of research have made further progresses in adaptive and robust control. The survey reveals that the latest research in deep learning and reinforcement learning has paved the way for highly complex tasks to be performed by robots. Furthermore, deep reinforcement learning, imitation learning, and transfer learning in robot control are discussed in detail. Finally, major achievements based on these methods are summarized and analyzed thoroughly, and future research challenges are proposed.