Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing seniors’ health-related quality of life

Virtual healthcare information technologies (HIT) are being adopted during the Covid-19 pandemic. We propose that even after Covid-19, virtual HIT can still have great potentials to address the challenges brought by the aging population on healthcare systems. The key questions are (1) what kinds of virtual HIT will be useful for seniors and (2) how these HIT will affect senior citizens’ health-related quality of life (HRQL)? Centered on the concept of HRQL and grounded on task-technology fit (TTF) theory, this paper builds a framework of useful virtual HIT in the context of long-term care for seniors. The framework proposes senior citizens’ human characteristics (i.e. restricted mobility, deteriorated working memory and attention, and social isolation) will influence their health-related tasks (task adaptability, autonomy, and interdependence). A set of virtual healthcare systems can be designed to fit seniors’ tasks. These HIT will increase seniors’ HRQL through increased task-technology fit (i.e. quality of healthcare, timeliness of healthcare, and relationships with seniors). This framework can serve as a base for researchers and practitioners in their endeavor to design more suitable HIT for seniors.
How is accountability defined by village government in village fund financial management?

The purpose of this research is to analyze the experience and understanding of village officials with respect to accountability in village fund financial management. Qualitative research methods with a phenomenological approach were used in this study through interviews with the village government in Tlogosari Village, Malang Regency, East Java Province, Indonesia. The results show that the accountability of village fund financial management is realized through the behavior of carrying out duties and responsibilities, greatest utilization of village discussions, and the overall activeness of village communities in supporting the village welfare. This understanding is considered to be in accordance with the Minister of Home Affairs Regulation No. 20 of 2018. Supporting parties of the implementation of village fund financial management, namely the village government, local government, and local inspectorates should increase their commitment and consistency in order to create accountable management of village funds. At the inspection stage, particularly, the regional inspectorate is required to make improvements in the inspection process to maximize targeted development in fulfillment of the village needs.
Mechanism of C–C bond formation in the electrocatalytic reduction of CO2 to acetic acid. A challenging reaction to use renewable energy with chemistry

Copper nanoparticles on carbon nanotubes are used in the reduction of CO2 to acetic acid (with simultaneous water electrolysis) in a flow electrocatalytic reactor operating at room temperature and atmospheric pressure. A turnover frequency of about 7000 h−1 and a carbon-based Faradaic selectivity to acetic acid of about 56% were observed, indicating potential interest in this approach for using renewable energy. The only other products of reaction detected were formic acid and methanol (the latter in some cases), besides H2. The reaction mechanism, particularly the critical step of C–C bond formation, was studied by comparing the reactivity in tests with CO2 or CO, where formic acid or formaldehyde where initially added. The results indicate the need for having dissolved CO2 to form acetic acid, likely via the reaction of CO2˙− with surface adsorbed –CH3 like species. The pathway towards formic acid is instead different from the route of the formation of acetic acid.
Massenspektrometrische Analytik komplexer Peptidgemische

In der vorliegenden Arbeit wurde eine universell anwendbare Gesamtmethodik zur Identifizierung und Sequenzierung von unbekannten Peptiden in komplexen Mischungen entwickelt. Diese Strategie berucksichtigt die Komplexitat der Proben, indem verschiedene Trenntechniken wie die HPLC und CE kombiniert werden. Der zweidimensionalen Auftrennung schliesst sich eine automatisierte Fraktionierung und Praparation fur die MALDI-MS Analyse mit dem entwickelten Praparationsroboter an. Eine der Hauptproblematiken in der Bioanalytik sind die sehr geringen Probenmengen. Durch die direkte Kopplung der CE, einer der empfindlichsten Trennmethoden in der Bioanalytik, mit der automatischen Probenpraparation konnen verlustbringende Probentransferschritte vermieden werden. Der entwickelte Praparationsroboter kann neben der automatisierten Probenpraparation fur die MALDI-MS auch als "intelligente Pipette" fur Probenmengen im Nanoliterbereich genutzt werden. Verschiedene Untersuchungen von Praparationsmethoden fur die MALDI-MS in Die Einbeziehung der Analytik posttranslationaler Modifikationen in die Charakterisierung komplexer Mischungen ist von grosser Bedeutung im Hinblick auf die Proteomanalyse. Hierzu konnten die Voraussetzungen fur einen wichtigen Bereich, den der Phosphopeptide, geschaffen werden. Erstmals wurde der Einfluss der Phosphorylierung, auf das Fragmentierungsverhalten der Peptide bei der MALDI-PSD-MS untersucht und aufgekart werden.
Volvulus of the Sigmoid Colon—Management in the Surgery “A” Department of the Teaching Hospital of Point G

Introduction: The volvulus of the sigmoid colon is the twist of the sigmoid handle on its mesocolic axis, achieving a low occlusion by strangulation. Methodology: The study was conducted in the surgery “A” department of the Teaching Hospital of Point G in Bamako. The study is retrospective and descriptive, over 5 years, ranging from January 2014 to December 2018. We conducted a comprehensive recruitment of all patients operated on for sigmoid volvulus during the study period. The only criterion for inclusion was patients operated on for volvulus of the sigmoid colon in the surgery “A” department of the Point G Hospital and the non-inclusion criteria were all patients operated on for other sigmoid pathologies without volvulation and patients operated on for other types of occlusions. Result: We conducted an exhaustive recruitment of 55 patients operated on for sigmoid volvulus during the study period. Sigmoid volvulus accounted for 13.75% of intestinal obstructions. The average age of patients was 48.013 ± 18.042 years with extremes of 24 years and 82 years. The age group 40 - 49 was the most represented at 21.8%. The sex ratio (M/F) was 8 in favour of male sex. The duration of the disease was less than 1-day in 50.94% of patients. There were two cases of ileo-sigmoid nodes. Immediate anastomosis resection was performed in 27 patients or 49.2% of cases. The time to restore continuity when specified was between 60 - 90 days and the median incision was the most common route of recovery at 80.8% of cases. The average length of hospitalization was 9 days with extremes of 2 days and 42 days. The morbidity rate was 7.3%. In our study we had 3 deaths or 5.5% of the cases. Conclusion: The volvulus of the sigmoid colon is the twist of the sigmoid handle on its mesocolic axis, achieving a low occlusion by strangulation. The volvulus of sigmoid is a serious surgical emergency that requires early diagnosis and management. In Mali, there is no validated consensus for the choice between immediate anastomosis resection if possible and multi-stage surgery. The purpose of this study is to evaluate the different surgical approaches carried out in the surgery “A” department of the Point G Hospital.
Agro-economic performance of bur gherkin under staking systems

ABSTRACT The bur gherkin cultivation is predominantly carried out without a staking system, but problems such as the "white belly" and fruit rot occur in this system. This study aimed to evaluate staking systems for bur gherkin plants. The experimental design was randomized blocks, with five treatments (no staking, agricultural netting staking, Mexican staking, vertical ribbon with total secondary stem thinning and vertical ribbon with alternate secondary stem thinning) and four replicates. The fresh mass and number of fruits per plant, fruit length and average diameter, number and fresh mass of fruits with white belly per plant, fresh mass per fruit and total yield were evaluated, as well as the economic indicators gross income, net income, rate of return and profitability index. For all the staking systems, the incidence of fruits with white belly was lower. The agricultural netting (43.75 t ha-1), Mexican (35.94 t ha-1) and vertical ribbon with alternate secondary stem thinning (22.24 t ha-1) systems promoted yields superior to that for no staking. The best economic indicator (US$ 21,031.46 ha-1) was observed for the agricultural netting staking, which is the most recommended for the bur gherkin cultivation.
Statistical Method of Bubble Distribution in Ship Wake Based on Digital Image

A large number of bubbles are formed in the wake of a ship when it is sailing. Statistical analysis of the wake bubbles can infer the important information of the ship such as draft, ship width and speed, which is of great significance in the military field. The experimental device is used to simulate the actual wake bubbles in this paper, and the detection method combining the sobel operator and the regionprop function is used to make effective statistics on the wake distribution. Experiments show that this paper can perform distribution statistics of wake bubbles in different situations and obtain better statistical results.
Object Shape Error Response Using Bayesian 3-D Convolutional Neural Networks for Assembly Systems With Compliant Parts

This article proposes a novel object shape error response (OSER) approach to estimate the dimensional and geometric variation of assembled products and then, relate these to process parameters, which can be interpreted as root causes (RC) of the object shape defects. The OSER approach leverages Bayesian 3-D convolutional neural networks integrated with computer-aided engineering simulations for RC isolation. Compared with the existing methods, the proposed approach: 1) addresses a novel problem of applying deep learning for object shape error identification instead of object detection; 2) overcomes fundamental performance limitations of current linear approaches for RC analysis (RCA) of assembly systems that cannot be used on point cloud data; and 3) provides capabilities for unsolved challenges such as ill-conditioning, fault-multiplicity, RC prediction with uncertainty quantification, and learning at design phase when no measurement data are available. Comprehensive benchmarking with existing machine learning models demonstrates superior performance with <inline-formula><tex-math notation="LaTeX">${{\rm{R}}^{2}} = {\text{0.98}}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">${\rm{MAE}} = {\text{0.05 mm}}$</tex-math></inline-formula>, thus improving RCA capabilities by 29%.
The Potential of a Tailored Biomimetic Hydrogel for In Vitro Cell Culture Applications: Characterization and Biocompatibility

In this study, the Pluronic F127 with modified tripeptide Gly-Arg-Gly-Asp copolymer (hereafter defined as 3BE) hydrogel was evaluated in terms of its biocompatibility potentials. The fibroblasts (Swiss 3T3 cell line) and human hair follicles-derived mesenchymal stem cells (HFMSCs) were cultured in different concentrations of the 3BE hydrogel (0%, 0.05%, 0.1%, 0.25%, and 0.5%, respectively). The cell morphology and differentiation potential of HFMSCs were observed through optical microscopy, and the cell viability was investigated via Live/Dead Kit and Cell Counting Kit-8 assay. Analytical results showed that HFMSC can differentiate into adipogenic, chondrogenic, and osteogenic lineages. The HFMSC and Swiss 3T3 cells would properly assemble into a spherical shape as cultured with the 3BE hydrogel. Most importantly, cell viability could be maintained above 70%. The formation of spheroid structures of cells within this hydrogel is predicted to promote cell differentiation potentials of HFMSC that benefit in generating functional adipocytes, chondrocytes, and osteoblasts. Therefore, these findings demonstrate that the 3BE hydrogel has great potential as a three-dimensional cell culture scaffold for tissue engineering applications.
Face Value: Trait Impressions, Performance Characteristics, and Market Outcomes for Financial Analysts

Using machine learning-based algorithms, we extract key impressions about personality traits from the LinkedIn profile photos of sell-side analysts. We find that these face-based factors are associated with analyst behavior, performance, and capital- and labor-market outcomes. The trustworthiness (TRUST) and dominance (DOM) factors are positively associated with analyst forecast accuracy and report length. Analysts with high TRUST scores tend to herd with managerial guidance forecasts; those with high DOM scores actively participate in conference calls. The positive association of the attractiveness (ATTRACT) factor on forecast accuracy diminishes with market learning and after Reg-FD. Forecasts from analysts with higher TRUST and DOM scores generate stronger price reactions. High DOM scores help male analysts but hurt female analysts to attain All-Star status. These findings suggest that impressions formed from observing analysts’ physical facial attributes are associated with analysts’ economic behaviors. Some of the investor and peer responses to these impressions seem to reflect societal biases and gender stereotypes.
Solvothermal fabrication and growth behavior study of spherical MnFe2O4 through a bottom-up method on wood substrate with effective microwave absorption

Spherical MnFe2O4 colloidal nanocrystal assemblies (CNAs) with different sizes were controllably fabricated on a wood substrate using a solvothermal method through a bottom-up pathway. The sizes of the spherical MnFe2O4, which ranged from 50 nm to 360 nm, could be simply adjusted by a synthetic reagent in the MnFe2O4 CNAs solution composed of primary crystalline with sizes of 12.7–32.4 nm. By studying the fabrication and growth behaviors of spherical MnFe2O4 during the solvothermal reaction, the MnFe2O4/wood composite was successfully synthesized with effective microwave absorption property. Moreover, the as-prepared MnFe2O4/wood hybrids exhibited an effective microwave absorption bandwidth and the minimum reflection loss of composite reached −12 dB at 15.52 GHz.
Cellular Mechanisms of Chromosomal Damage in Fish Models During the Early Steps of Carcinogenesis. Does Gender have an Effect?

the Abstract Since fishes are widely used as model species in understanding cellular mechanisms of many human diseases such as carcinogenesis early steps, and to test the cellular potential cellular impairment of xenobiotics such as emerging pollutants, it appears of great interest to obtain strong reliable data from fish experimental researches. In humans, the loss of chromosomal integrity, detected by the increase of micronucleus frequency, was demonstrated to be associated with early events in carcinogenesis. On the other hand, the loss of chromosomal integrity was found to be associated most frequently with sex chromosomes. We should wonder if cellular mechanisms promoting chromosomal damage in fish are influenced by the gender. This brief work tries to analyze this aspect before transferring any conclusion from fishes to humans.
APSE: Attention-Aware Polarity-Sensitive Embedding for Emotion-Based Image Retrieval

With the popularity of social media, an increasing number of people are accustomed to expressing their feelings and emotions online using images and videos. An emotion-based image retrieval (EBIR) system is useful for obtaining visual contents with desired emotions from a massive repository. Existing EBIR methods mainly focus on modeling the global characteristics of visual content without considering the crucial role of informative regions of interest in conveying emotions. Further, they ignore the hierarchical relationships between coarse polarities and fine categories of emotions. In this paper, we design an attention-aware polarity-sensitive embedding (APSE) network to address these issues. First, we develop a hierarchical attention mechanism to automatically discover and model the informative regions of interest. Specifically, both polarity- and emotion-specific attended representations are aggregated for discriminative feature embedding. Second, we propose a generated emotion-pair (GEP) loss to simultaneously consider the inter- and intra-polarity relationships of the emotion labels. Moreover, we adaptively generate negative examples of different hard levels in the feature space guided by the attention module to further improve the performance of feature embedding. Extensive experiments on four popular benchmark datasets demonstrate that the proposed APSE method outperforms the state-of-the-art EBIR approaches by a large margin.
AN ENGAGED UNIVERSITY: RESCUING SMEs DURING THE COVID-19 CRISIS

ABSTRACT The economic effects of isolation policies resulting from the COVID-19 pandemic have led small and medium-sized enterprises (SMEs) to look for alternatives to survive. Within this crisis scenario, an engaged university has an important role to play in a regional context in addressing not only health issues, but also any resultant social and economic problems. An engaged university needs to take actions that go beyond its traditional missions of education and research - it has to deliver knowledge to society. This paper analyzes a university-community project in Brazil to identify the necessary elements that help promote a regionally-engaged university: the SOS-PME Advisory Network project, which was originally designed to assist SMEs during the crisis. As a result, we identified elements necessary for promoting the university’s third mission - social engagement by way of a university-community project: an engaged team, multidisciplinarity, project management, agility, alliances, a communication strategy, institutional support, and reputation.
Separation of Azeotropic Mixture Using Multi-stage Ultrasound-Assisted Flash Distillation

Abstract A mathematical model for an ultrasound-assisted vapor liquid equilibrium (VLE) system developed in Aspen Custom Modeler is exported to Aspen Plus flowsheeting environment to form a block in the software library to represent a single stage flash separation unit. The block is then arranged in series to mimic an ultrasonically intensified distillation process. As a case study, an ethanol/ethyl acetate separation process is examined. The results show that a 99 mol% ethyl acetate recovery is established when a series of 27 flash VLE devices are used. The system is also evaluated for other minimum boiling azeotropic mixtures, and consistent results are obtained, thus revealing the potentials of ultrasound-assisted system as an alternative strategy for azeotropic mixture separations.
Optimization Strategy of Anti-interference Performance Based on BPSO

In order to solve a problem of the anti-interference performance optimization strategy for electronic equipment, an optimization strategy based on BPSO is proposed and studied. A systematic analysis to the anti-interference performance optimization strategy for electronic equipment is made, and then the mathematical description of the optimization strategy are built. The general method and process of the solution based on BPSO to anti-interference performance optimization strategy is presented. What’s more, the method is tested and verified by a specific example. The results show that the way based on BPSO to search anti-interference performance optimization strategy is feasible. Furthermore, not only do the algorithms have good global search performance and robustness, but also the optimization efficiency and performance have advantages.
Efficacy of Ilex paraguariensis versus Placebo on Lipid Profile in Randomized Clinical Trial: A Systematic Review and Meta-analysis

Copyright © 2020 Phcog.Net. This is an openaccess article distributed under the terms of the Creative Commons Attribution 4.0 International license. ABSTRACT Introduction: The use of medicinal plants have been increasing progressively around the world and been associated with decreasing Total Cholesterol (TC) and Low-Density LipoproteinCholesterol (LDL-C) and, increasing High-Density Lipoprotein-Cholesterol (HDL-C) in humans. Ilex paraguariensis, known as yerba mate, is rich in bioactive compounds, especially chlorogenic acid has been shown as one of the major contributor to hypocholesterolemic. This review aimed to demonstrate if Ilex paraguariensis supplementation is more effective than placebo on lipid profile in randomized placebo-controlled trial. Methods: A careful search was performed in PubMed, Web of Science, SciELO, Scopus and Cochrane Library, published until May 2020. The following keywords of Medical Sub Headings (MeSH) were used as search terms: (“yerba mate” OR “Ilex paraguariensis”) AND (“dyslipidemia” OR “hyperlipidemia”) AND (“clinical trial” OR “Randomized Controlled Trial (RCT)” OR “randomly”). Results: The literature search identified 149 “Ilex paraguariensis x clinical trials”, 16 full-text assessed. After, following the inclusion and exclusion criteria, only 3 studies were chosen to qualitative and quantitative synthesis. The study showed that Ilex paraguariensis could improve HDL-C, but with no differences in TC and triglycerides, comparing to placebo-controlled group. Conclusion: The three included clinical trials have demonstrated high quality, low bias and HDL-C statistically different. To validate the last result, more clinical trials interventions are necessary, Although TC and triglycerides did not demonstrated differences statistically and increasing HDL-C may improve or protect the metabolism of lipid profile, after been supplemented by Ilex paraguariensis, compared to placebo-controlled trial.
Language Variations in Instagram Caption

This research discussing the language variations that are used by gender in the Instagram caption. The purpose of this research is to analyse language variations that are used by women and men in Instagram captions and to find the language variations that are realized by men and women in the Instagram captions. In order to finish this study, a descriptive qualitative method is applied. This study also uses data collection techniques with non-participatory observation methods and documentation. This study applied Lakoff's (1975) theory of gender feature to analyze the data. According to Lakoff (1975), dan Jiyun (2014) Women and men have different access to different languages. In this research, there are seven language features used by men and women in the Instagram caption. They are, lexical hedges or filler, tag question, hypercorrect grammar, empathy adjective, intensifiers, super polite forms dan empathic stress. The results of the study found that the language used by men and women in the Instagram caption is having some have similarities and differences in the use of language features.