Miracle-dz/UniFAR-FTUs huggingface dataset:
miR-100-5p Is a Novel Biomarker That Suppresses the Proliferation, Migration, and Invasion in Skin Cutaneous Melanoma

Objective To better understand the role and underlying mechanisms of SKCM, we conducted bioinformatics analysis and in vivo experiments. Results We found its role as a tumor suppressor gene in SKCM and its effect on prognosis. In addition, this study found that miR-100-5p had a bidirectional effect on SKCM microenvironment. After exploring the relationship between the two, it was found that tumors with intermediate miR-100-5p expression had the highest level of immune cell infiltration. In addition, the value of miR-100-5p was assessed by survival analysis, univariate Cox regression analysis, and nomogram prognostic prediction. Finally, we constructed a regulatory network to illustrate the regulatory relationship of miR-100-5p. Conclusions In conclusion, the antitumor effect of miR-100-5p is revealed, and the present study is followed by a discussion of its molecular regulatory network, followed by novel insights into SKCM therapy.
Azimuthal instability of a vortex ring computed by a vortex sheet panel method

A Lagrangian panel method is presented for vortex sheet motion in three-dimensional (3D) flow. The sheet is represented by a set of quadrilateral panels having a tree structure. The panels have active particles that carry circulation and passive particles used for adaptive refinement. The Biot–Savart kernel is regularized and the velocity is evaluated by a treecode. The method is applied to compute the azimuthal instability of a vortex ring, starting from a perturbed circular disc vortex sheet initial condition. Details of the core dynamics are clarified by tracking material lines on the sheet surface. Results are presented showing the following sequence of events: spiral roll-up of the sheet into a ring, wavy deformation of the ring axis, first collapse of the vortex core in each wavelength, second collapse of the vortex core out of phase with the first collapse, formation of loops wrapped around the core and radial ejection of ringlets. The collapse of the vortex core is correlated with converging axial flow.
Optical Stark decelerator for cw molecular beam with a quasi-cw semi-Gaussian laser beam

We propose a promising scheme to decelerate a cw filtering out molecular beam using a red-detuned quasi-cw semi-Gaussian laser beam. By using Monte-Carlo simulation method, we demonstrate this optical Stark deceleration scheme, and study its decelerated dynamic process for a cw ND3 molecular beam as well as the dependence of the deceleration effect on the border width of the semi-Gaussian beam. Our study shows that the proposed scheme can be used to efficiently slow a cw ND3 molecular beam, and obtain a relative average kinetic-energy loss of 9.33% by using a single semi-Gaussian beam with a well depth of 7.3 mK.
Feasibility of Algorithm-Based Clinical Decision Support for Suspected Urinary Tract Infections in Nursing Home Residents

Urinary tract infections (UTIs) are commonly suspected in nursing home (NH) residents, commonly resulting in antimicrobial prescriptions, even when symptoms are non-specific. To improve the diagnosis and management of suspected UTIs in NH residents, we conducted a pilot test of a paper-based clinical algorithm across NHs in the southern U.S. with ten advanced practice providers (APPs). The paper-based algorithm was modified based on the clinical care needs of our APPs and included antimicrobial treatment recommendations. The APPs found the UTI antimicrobial stewardship and clinical decision support acceptable. The educational sessions and algorithm improved baseline confidence toward UTI diagnosing and treatment. The APPs thought the algorithm was useful and did not negatively impact workload. Feedback from the pilot study will be used to improve the next iteration of the algorithm as we assess its impact on prescribing outcomes.
Inhibition of Glycogen Synthase Kinase and the Neuroprotective Function of Conjugated ZnO-Osthol Nanoparticles in Alzheimer’s Disease

A critical factor in the cause and progression of Alzheimer’s disease (AD) is the growth of β-amyloid peptide (Aβ) in the brain. The mechanism of this effect is still unknown, although the effect of osthol on Aβ-induced inflammation is neuroprotective in AD and supplementation with zinc might prevent or delay the onset of dementia. In the current study, by inducing APP vector in human BE (2)-M17 cells, we established a cellular model of AD and investigated the protective effect of osthol (7-methoxy-8-3-methyl-2-butenyl-2H-1-benzopyran-2-one)-zinc oxide nanoparticles. The osthol-conjugated zinc oxide nanoparticles could significantly increase cell viability by inhibiting cell apoptosis. Osthol treatment has also prevented synaptic proteins such as postsynaptic density-95 (PSD-95), synaptophysin (SYP), and synapsin-1 from decreasing in APP-induced BE (2)-M17 cells. In addition, the expression of miR-132 was significantly upregulated by osthol by triggering the Wnt/β-catenin signaling pathway. We conclude from our observations that osthol is a potential drug for the treatment of a neurodegenerative disease, Alzheimer’s. The key reason was that by upregulating miR-132, osthol could inhibit APP expression to prevent AD from occurring.
The relation between the luminosity of the brightest blue star and the luminosity of its parent galaxy

Une relation entre la luminosite des etoiles les plus bleues d'une galaxie et la luminosite galactique totale a ete notee depuis longtemps pour les galaxies spirales et irregulieres. On effectue des simulations numeriques de la population des etoiles massives (M≥15M ○. ) dans des galaxies de differentes masses totales, avec une fonction de masse initiale standard et des schemas d'evolution stellaire avec perte de masse. On trouve que la relation observee peut etre expliquee par des effets statistiques
Prophecy and the Pandemic: The Vindication of Decolonial Legal Critical Scholarship

The ongoing COVID-19 global pandemic offers the legal academy a special opportunity to reflect on various conceptual, ideational, and ideological questions that cleavage the academy and society. In this exposition, I embrace an exegetical-cum-legalist enunciation to analyse the material conditions that define the lives of the historically and presently colonised peoples of South Africa. In the main, this treatise advances two arguments: (1) that the present socio-economic conditions illustrate the decisive thrust of decolonial legal critical scholarship and its ability to predict the future; and (2) that critical approaches to the law constitute a legitimate intellectual prophetic engagement. I conclude by insisting that decolonial legal critical scholarship should be the cornerstone and a focal point of emphasis in the calls to shift [and decolonise] all facets of the law and its curriculum.
Self-reconfiguration and rescheduling of aero-engine assembly shop with rework disruption in knowledgeable manufacturing environment

An aero-engine has to be assembled twice or more to satisfy stringent technical standards. Substandard engines are required to re-enter for additional reassembly, which may trigger rework disruption. Work groups with flexible skills are responsible for the operations and can be reassigned when rescheduling triggers. An integrated problem of rescheduling of engines and reconfiguration of work groups with rework disruption is formulated here. A heuristic is proposed to solve the problem. In self-reconfiguration optimization, work groups are reassigned in accordance with the workload balance criterion without violating the assembly skills constraints. In rescheduling optimization, locally optimal sequencing propositions of operations are derived and applied to generate a feasible schedule. Three neighborhood structures are defined, and a variable neighborhood search is implemented to optimize the assignment and the schedule of operations on parallel work groups. The effectiveness of the proposed algorithm is tested by several numerical experiments. The results show that the proposed algorithm promises apparently lower total cost and more desirable assignment of work groups by scheduling.
A Mixed Methods Approach Towards Defining A Student's Ranges of Self-Efficacy

Traditionally, self-efficacy (SE), or the confidence in one’s capability to execute a task, is measured using pre/post-surveys to demonstrate shifts in students’ SE. In this work, we present a preliminary analysis of a single student drawing on a mixed methods approach to examine how their SE fluctuates over time. This novel design employs the Experience Sampling Method, a quantitative technique using surveys of domain-specific self-efficacy, and daily reflections, a qualitative technique investigating threats and supports towards students’ SE. The preliminary analysis was broken into two strands: (1) using interquartile range (IQR) to define low, normal, and high SE for a student based on their survey scores, and (2) using the student’s daily journal reflection responses as proof of concept for defining the student’s SE as low, normal, or high from the IQR analysis of survey responses. Findings indicate the boundaries of a student’s IQR can define high, normal, and low SE and the student’s responses to the daily journal prompts corroborates these definitions.
Effect of TiO2 Nanoparticles with High Light Absorption on Improving Growth Parameters and Enzymatic Properties of Sorghum (Sorghum bicolor L. Moench)

AbstractTitanium dioxide nanoparticles are great boosters for better sunlight absorption by plants. However, their band gap is so wide that they can only absorb UV light, which is a small portion of the sunlight. To improve the absorption of visible light, in this work, titanium nanoparticles were sensitized by saffron dye and the effect of foliar application of the dyed nanoparticles on growth parameters and enzymatic properties of sorghum was investigated and the results were compared with those of conventional titanium dioxide nanoparticles. The experiment was conducted in Zabol region, Iran. Saffron, a natural organic dye, was used as a sensitizer because of its availability and high extinction coefficient in the visible regions. To perform sensitization, titanium dioxide nanoparticles were immersed in saffron dye solution to absorb the dye on their surface. Then different concentrations of the sensitized nanoparticles were applied on plants by foliar spraying. The most improved growth parameters including root and shoot lengths, shoot fresh and dry weights, root fresh and dry weights were obtained after application of dye-sensitized TiO2 nanoparticles. Zinc and iron are the elements highly affected by the application of new nanoparticles. Enzyme activities of catalase, ascorbate peroxidase and guaiacol peroxidase were also increased significantly. Chlorophyll a and Chlorophyll a/b ratio showed the highest values in 500 ppm dye-sensitized TiO2 nanoparticles. The obtained results confirm the improvement in growth parameters and enzymatic properties of Sorghum after application of the new TiO2 nanoparticles.
Study on Long-Term Tracing of Fibroblasts on Three-Dimensional Tissue Engineering Scaffolds Based on Graphene Quantum Dots

In order to find a convenient and stable way to trace human skin fibroblasts (HSFs) in three-dimensional tissue engineering scaffolds for a long time, in this experiment, Graphene Oxide Quantum Dots (GOQDs), Amino Graphene Quantum Dots (AGQDs) and Carboxyl Graphene Quantum Dots (CGQDs) were used as the material source for labeling HSFs. Exploring the possibility of using it as a long-term tracer of HSFs in three-dimensional tissue engineering scaffolds, the contents of the experiment are as follows: the HSFs were cultured in a cell-culture medium composed of three kinds of Graphene Quantum Dots for 24 h, respectively; (1) using Cell Counting Kit 8 (CCK8), Transwell migration chamber and Phalloidin-iFlior 488 to detect the effect of Graphene Quantum Dots on the biocompatibility of HSFs; (2) using a living cell workstation to detect the fluorescence labeling results of three kinds of Graphene Quantum Dots on HSFs, and testing the fluorescence attenuation of HSFs for 7 days; (3) the HSFs labeled with Graphene Quantum Dots were inoculated on the three-dimensional chitosan demethylcellulose sodium scaffold, and the living cell workstation was used to detect the spatial distribution of the HSFs on the three-dimensional scaffold through the fluorescence properties of the HSFs. Experimental results: (1) the results of CCK8, Transwell migration, and FITC-Phalloidin cytoskeleton test showed that the three kinds of Graphene Quantum Dots had no effect on the biological properties of HSFs (p < 0.05); (2) the results of the fluorescence labeling experiment showed that only AGQDs could make HSFs fluorescent, and cells showed orange–red fluorescence; (3) the results of long-range tracing of HSFs which were labeled by with AGQDs showed that the fluorescence life of the HSFs were as long as 7 days; (4) The spatial distribution of HSFs can be detected on the three-dimensional scaffold based on their fluorescence properties, and the detection time can be up to 7 days.
Zika Virus Exploits Lipid Rafts to Infect Host Cells

Several flaviviruses such as Hepatitis C virus, West Nile virus, Dengue virus and Japanese Encephalitis virus exploit the raft platform to enter host cells whereas the involvement of lipid rafts in Zika virus–host cell interaction has not yet been demonstrated. Zika virus disease is caused by a flavivirus transmitted by Aedes spp. Mosquitoes, although other mechanisms such as blood transfusion, sexual and maternal–fetal transmission have been demonstrated. Symptoms are generally mild, such as fever, rash, joint pain and conjunctivitis, but neurological complications, including Guillain-Barré syndrome, have been associated to this viral infection. During pregnancy, it can cause microcephaly and other congenital abnormalities in the fetus, as well as pregnancy complications, representing a serious health threat. In this study, we show for the first time that Zika virus employs cell membrane lipid rafts as a portal of entry into Vero cells. We previously demonstrated that the antifungal drug Amphotericin B (AmphB) hampers a microbe–host cell interaction through the disruption of lipid raft architecture. Here, we found that Amphotericin B by the same mechanism of action inhibits both Zika virus cell entry and replication. These data encourage further studies on the off-label use of Amphotericin B in Zika virus infections as a new and alternate antiviral therapy.
Integrating Gestational Diabetes Screening and Care and Type 2 Diabetes Mellitus Prevention After GDM Into Community Based Primary Health Care in South Africa-Mixed Method Study

Background: Despite high gestational diabetes mellitus (GDM) prevalence in South Africa (9.1% in 2018), its screening and management are not well integrated into routine primary health care and poorly linked to post-GDM prevention of type 2 diabetes mellitus (T2DM) in South Africa’s fragmented health system. This study explored women’s, health care providers’ and experts’ experiences and perspectives on current and potential integration of GDM screening and prevention of T2DM post-GDM within routine, community-based primary health care (PHC) services in South Africa. Methods: This study drew on the Behaviour Change Wheel (BCW) framework and used a mixed method, sequential exploratory design for data collection, analysis and interpretation. Individual semi-structured interviews were conducted with key informants (n = 5) from both national and provincial levels and health care providers (n = 18) in the public health system of the Western Cape Province. Additionally, focus group discussions (FGDs) with Community Health Workers (CHWs n = 15) working with clinics in the Western Cape province. A further four FGDs and brief individual exit interviews were conducted with women with GDM (n = 35) followed-up at a tertiary hospital: Groote Schuur Hospital (GSH). Data collection with women diagnosed and treated for GDM happened between March and August 2018. Thematic analysis was the primary analytical method with some content analysis as appropriate. Statistical analysis of quantitative data from the 35 exit interview questionnaires was conducted, and correlation with qualitative variables assessed using Cramér’s V coefficient. Results: Shortage of trained staff, ill-equipped clinics, socio-economic barriers and lack of knowledge were the major reported barriers to successful integration of GDM screening and postnatal T2DM prevention. Only 43% of women reported receiving advice about all four recommendations to improve GDM and decrease T2DM risk (improve diet, reduce sugar intake, physical exercise and regularly take medication). All participants supported integrating services within routine, community-based PHC to universally screen for GDM and to prevent or delay development of T2DM after GDM. Conclusion: GDM screening and post-GDM prevention of T2DM are poorly integrated into PHC services in South Africa. Integration is desired by stakeholders (patients and providers) and may be feasible if PHC resource, training constraints and women’s socio-economic barriers are addressed.
Adaptive fractional-order fault-tolerant sliding mode control scheme of DFIG wind energy conversion system

This article proposes an adaptive fractional-order fault-tolerant sliding mode control scheme for wind energy conversion system based on doubly-fed induction generator to achieve maximum power point tracking fault-tolerant control. An adaptive fault-tolerant sliding mode controller is designed to solve the problem of partial failure of system actuators with bounded unknown continuous disturbances. In the proposed adaptive method, the upper bound of continuous disturbances and actuator failure can be estimated in real time. It is worth mentioning that this article innovatively combines fractional-order calculation theory with adaptive fault-tolerant control, which provides more options for the parameter design of fault-tolerant control. Finally, a numerical example is given to prove the effectiveness of the proposed control scheme.
The National Bioengineered Food Disclosure Standard of 2016: Intersection of Technology and Public Understanding of Science in the United States

Genetically modified (GM) foods have been commercially available in the US for more than two decades, yet Americans know very little about them. With the implementation of the National Bioengineered Food Disclosure Standard of 2016, food manufacturers will be required to disclose the presence of GM ingredients in their food products. How food manufacturers communicate with consumers about GM ingredients may have consequences for public understanding of GM technology. In Study 1, we explore how food manufacturers characterize GM ingredients within their food products on SmartLabel, a digital disclosure website established by the Grocery Manufacturers Association. In Study 2, we test the effect of those characterizations on perceived risks and benefits of GM food. Overall, we find that varying characterizations of GM ingredients do not significantly affect perceived risks and benefits. Post hoc analyses suggest that knowledge of GM technology and moral evaluation of GM technology significantly predict perceived risks and benefits. Implications for the public communication of GM technology are discussed.
IAF-LG: An Interactive Attention Fusion Network With Local and Global Perspective for Aspect-Based Sentiment Analysis

One of the interesting trending phenomena in sentiment analysis is the prediction of sentiment given by the user towards an aspect term. Till today, a considerable number of researchers have proposed varying methodologies for predicting aspect-based sentiments. But they mostly encapsulate the semantic information by manifesting themselves within a local boundary around each aspect term and overlook capturing the semantic concept that is conveyed within the entire review (global). Therefore, this study proposes a model, IAF-LG, that performs semantic learning at both local and global scales to discover aspect-based sentiments. IAF-LG first encodes the local semantics by fusing contextual-semantic dependencies between tokens and computing relational semantics between inter-aspects. Next, it develops the global semantics by formulating interactions between local semantics and review-based sentiment learning. Lastly, it conjoins the local and global interactive learning to earn credible semantics for predicting the accurate sentiment of aspect terms. Extensive experiments on publicly available datasets demonstrate the significantly improved performance of IAF-LG than competitive baselines.
Smart Parking Lot Based on Edge Cluster Computing for Full Self-Driving Vehicles

One promising area that can be serviced by edge computing in real-time is autonomous driving. Fully self-driving vehicles can operate on roads and in buildings, such as indoor parking lots, using various sensors and communication modules. However, because the communication between indoor parking lots and the outside world is limited, and autonomous vehicles currently lack the real-time performance capabilities needed to process all information independently, it is necessary to develop a control scheme for fully self-driving vehicles in indoor settings. In this study, we propose a smart parking lot for self-driving vehicles based on edge cluster computing. A smart parking lot consists of fixed edges and mobile edge vehicles and uses grid maps for parking lot management. To evaluate the performance of smart parking, we compared parking time and moving distance in existing parking environments. Furthermore, the resource cost and number of data transmissions were analyzed to confirm the number of edges for effective service provision and maintenance.
Functional block copolymer micelles based on poly (jasmine lactone) for improving the loading efficiency of weakly basic drugs

Functionalization of polymers is an attractive approach to introduce specific molecular forces that can enhance drug–polymer interaction to achieve higher drug loading when used as drug delivery systems. The novel amphiphilic block copolymer of methoxy poly(ethylene glycol) and poly(jasmine lactone) i.e., mPEG-b-PJL, derived from renewable jasmine lactone provides free allyl groups on the backbone thus, allowing flexible and facile post-synthesis functionalization. In this study, mPEG-b-PJL and its carboxyl functionalized polymer mPEG-b-PJL-COOH were utilised to explore the effect of ionic interactions on the drug–polymer behaviour. Various drugs with different pKa values were employed to prepare drug-loaded polymeric micelles (PMs) of mPEG-b-PJL, mPEG-b-PJL-COOH and Soluplus® (polyvinyl caprolactam–polyvinyl acetate–polyethylene glycol graft copolymer) via a nanoprecipitation method. Electrostatic interactions between the COOH pendant on mPEG-b-PJL-COOH and the basic drugs were shown to influence the entrapment efficiency. Additionally, molecular dynamics (MD) simulations were employed to understand the polymer–drug interactions at the molecular level and how polymer functionalization influenced these interactions. The release kinetics of the anti-cancer drug sunitinib from mPEG-b-PJL and mPEG-b-PJL-COOH was assessed, and it demonstrated a sustainable drug release pattern, which depended on both pH and temperature. Furthermore, the cytotoxicity of sunitinib-loaded micelles on cancer cells was evaluated. The drug-loaded micelles exhibited dose-dependent toxicity. Also, haemolysis capacity of these polymers was investigated. In summary, polymer functionalization seems a promising approach to overcome challenges that hinder the application of polymer-based drug delivery systems such as low drug loading degree.