Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge sharing of health technology among clinicians in integrated care system: The role of social networks

Promoting clinicians’ knowledge sharing of appropriate health technology within the integrated care system (ICS) is of great vitality in bridging the technological gap between member institutions. However, the role of social networks in knowledge sharing of health technology is still largely unknown. To address this issue, the study aims to clarify the influence of clinicians’ social networks on knowledge sharing of health technology within the ICS. A questionnaire survey was conducted among the clinicians in the Alliance of Liver Disease Specialists in Fujian Province, China. Social network analysis was conducted using NetDraw and UCINET, and the quadratic assignment procedure (QAP) multiple regression was used to analyze the influencing factors of knowledge sharing of health technology. The results showed that the ICS played an insufficient role in promoting overall knowledge sharing, especially inter-institutional knowledge sharing. Trust, emotional support, material support, and cognitive proximity positively influenced knowledge sharing of health technology, while the frequency of interaction and relationship importance had a negative impact on it. The finding extended the research scope of social network theory to the field of healthcare and will bridge the evidence gap in the influence of the clinicians’ social networks on their knowledge sharing within the ICS, providing new ideas to boost knowledge sharing and diffusion of appropriate health technology.
A computational model for microbial colonization of an antifouling surface

Biofouling of marine surfaces such as ship hulls is a major industrial problem. Antifouling (AF) paints delay the onset of biofouling by releasing biocidal chemicals. We present a computational model for microbial colonization of a biocide-releasing AF surface. Our model accounts for random arrival from the ocean of microorganisms with different biocide resistance levels, biocide-dependent proliferation or killing, and a transition to a biofilm state. Our computer simulations support a picture in which biocide-resistant microorganisms initially form a loosely attached layer that eventually transitions to a growing biofilm. Once the growing biofilm is established, immigrating microorganisms are shielded from the biocide, allowing more biocide-susceptible strains to proliferate. In our model, colonization of the AF surface is highly stochastic. The waiting time before the biofilm establishes is exponentially distributed, suggesting a Poisson process. The waiting time depends exponentially on both the concentration of biocide at the surface and the rate of arrival of resistant microorganisms from the ocean. Taken together our results suggest that biofouling of AF surfaces may be intrinsically stochastic and hence unpredictable, but immigration of more biocide-resistant species, as well as the biological transition to biofilm physiology, may be important factors controlling the time to biofilm establishment.
Case report: Optical coherence tomography for monitoring biologic therapy in psoriasis and atopic dermatitis

Biologic therapies are increasingly used to treat chronic inflammatory skin diseases such as psoriasis and atopic dermatitis. In clinical practice, scores based on evaluation of objective and subjective symptoms are used to assess disease severity, leading to evaluation of treatment goals with clinical decisions on treatment initiation, switch to another treatment modality or to discontinue current treatment. However, this visual-based scoring is relatively subjective and inaccurate due to inter- and intraobserver reliability. Optical coherence tomography (OCT) is a fast, high-resolution, in vivo imaging modality that enables the visualization of skin structure and vasculature. We evaluated the use of OCT for quantification and monitoring of skin inflammation to improve objective assessment of disease activity in patients with psoriasis and atopic dermatitis. We assessed the following imaging parameters including epidermal thickness, vascular density, plexus depth, vessel diameter, and vessel count. A total of four patients with psoriasis or atopic dermatitis were treated with biologic agents according to current treatment guidelines. OCT was used to monitor their individual treatment response in a target lesion representing disease activity for 52 weeks. Psoriatic and eczema lesions exhibited higher epidermal thickness, increased vascular density, and higher vessel count compared to uninvolved skin. An upward shift of the superficial vascular plexus accompanied by smaller vessel diameters was seen in psoriasis in contrast to atopic dermatitis, where larger vessels were observed. A response to biologic therapy was characterized by normalization of the imaging parameters in the target lesions in comparison to uninvolved skin during the observation period of 52 weeks. Optical coherence tomography potentially serves as an instrument to monitor biologic therapy in inflammatory skin diseases. Imaging parameters may enable objective quantification of inflammation in psoriasis or atopic dermatitis in selected representative skin areas. OCT may reveal persistent subclinical inflammation in atopic dermatitis beyond clinical remission.
A cluster-based approach against wormhole attacks in MANETs among smart grid

Mobile ad hoc networks in smart grid become more and more popular and significant. However, the deployment scenarios, the functionality requirements and the limited capabilities make them vulnerable to a large group of attacks, e.g., wormhole attacks. In this paper, a novel cluster-based scheme is proposed for the purpose of preventing wormhole attacks. Firstly, a clustering algorithm is proposed that employs a powerful analytical hierarchy process methodology to elect clusterheads. Afterwards, the elected clusterheads are required to implement the wormhole attacks prevention scheme which includes two phases, i.e., detection phase and location phase. By detection phase, the existence of wormhole attacks can be detected. By location phase, the wormhole nodes are able to be detected. Simulation results indicate the scheme in our paper can be used to prevent wormhole attacks in ad hoc networks efficiently.
3’UTR of SARS-CoV-2 spike gene hijack host miR-296 or miR-520h to disturb cell proliferation and cytokine signaling

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has becoming globally public health threat. Recently studies were focus on SARS-CoV-2 RNA to design vaccine and drugs. It was demonstrated that virus RNA could play as sponge to host noncoding RNAs to regulate cellular processes. Bioinformatic research predicted a series of motif on SARS-CoV-2 genome where are targets of human miRNAs. In this study, we used dual-luciferase reporter assays to validate the interaction between 3’UTR of SARS-CoV-2 S (S-3’UTR) gene and bioinformatic predicted targeting miRNAs. The growth of 293T cells and HUVECs with overexpressed S-3’UTR was determined, while miRNAs and IL6, TNF-α levels were checked in this condition. Then, miR-296 and miR-602 mimic were introduced into 293T cells and HUVECs with overexpressed S-3’UTR, respectively, to reveal the underlying regulation mechanism. In results, we screened 19 miRNAs targeting the S-3’UTR, including miR-296 and miR-602. In 293T cell, S-3’UTR could inhibit 293T cell growth through down-regulation of miR-296. By reducing miR-602, S-3’UTR could induce HUVECs cell proliferation, alter the cell cycle, reduce apoptosis, and enhanced IL6 and TNF-αlevel. In conclusion, SARS-CoV-2 RNA could play as sponge of host miRNA to disturb cell growth and cytokine signaling. It suggests an important clue for designing COVID-19 drug and vaccine.
Dietary patterns and birth outcomes of healthy Lebanese pregnant women

Background The aim of this study was to define the dietary patterns (DPs) of a sample of Lebanese pregnant women and to establish their correlation with maternal and neonatal outcomes. Methods A cross-sectional study was conducted among 358 Lebanese pregnant women. Maternal socio-demographic variables, anthropometric measurements, gestational weight gain and neonatal outcomes such as weight, length, head circumference and Apgar score were collected by qualified dietitians. Dietary intake was assessed by a validated food frequency questionnaire and three 24-h dietary recalls. DPs were determined, a posteriori, by a factor analysis to distinguish the inter-correlations between the food groups and a cluster analysis method to assemble the participants into groupings based on similarities in food consumption. Results The identified DPs were not exclusively composed of specific food groups, since some components were overlapping in the DPs. The first one was characterized by a high consumption of starchy vegetables, unsaturated fats and unhealthy foods, the second was rich in fruits and vegetables, seeds, rice and pasta, and in fried local meals and the third was mainly based on protein-rich foods like poultry, fish, eggs and dairy products. They were named respectively as “Westernized,” “Mixed” and “Neo-Mediterranean” by the research team. Women having the lowest pre-gestational body mass index (BMI) and higher gestational age followed mainly the “Neo-Mediterranean” eating pattern. Conclusion The three identified DPs among Lebanese pregnant women were correlated with the pre-gestational BMI, and some maternal variables. However, neither the maternal nor the neonatal outcomes were correlated with the DP adopted by the mothers.
Pre-exposure to Candida albicans induce trans-generational immune priming and gene expression of Musca domestica

Insects have the phenomenon of immune priming by which they can have enhanced protection against reinfection with the same pathogen, and this immune protection can be passed on to their offspring, which is defined as “trans-generational immune priming (TGIP). ” But whether housefly possesses TGIP is still unclear. Therefore, we used the housefly as the insect model and Candida albicans as the pathogen to explore whether the housefly is capable of eliciting TGIP, and RNA sequencing (RNA-seq) was performed to explore the molecular mechanism of TGIP of the housefly. We found that the housefly possesses TGIP, and adults pre-exposed to heat-killed C. albicans could confer protection to itself and its offspring upon reinfection with a lethal dose of C. albicans. RNA-seq results showed that 30 and 154 genes were differentially expressed after adults were primed with heat-killed C. albicans (CA-A) and after offspring larvae were challenged with a lethal dose of C. albicans (CA-CA-G), respectively. Among the differentially expressed genes (DEGs), there were 23 immune genes, including 6 pattern recognition receptors (PRRs), 7 immune effectors, and 10 immunoregulatory molecules. More importantly, multiple DEGs were involved in the Toll signaling pathway and phagosome signaling pathway, suggesting that the Toll signaling pathway and phagocytosis might play important roles in the process of TGIP of housefly to C. albicans. Our results expanded on previous studies and provided parameters for exploring the mechanism of TGIP.
Team Optuna Developers’ Method for Black-Box Optimization Challenge 2020

In this paper, we present our approach to the NeurIPS 2020 Black-Box Optimization Challenge. The proposed method is based on TuRBO, a batch Bayesian optimization algorithm which restricts the search space to certain trust regions. We made several improvements to overcome the following problems: (1) unknown smoothness of the objective function, (2) mixture of categorical and real-valued variables, and (3) small evaluation budgets available for surrogate model initialization. Our method won the 5 th place in the challenge.
THE RECENT SURGE IN MONEY GROWTH: WHAT WOULD MILTON FRIEDMAN SAY?

: The M2 money supply has grown by almost 40 percent since 2019. This number, by itself, raises the strong possibility that we have entered a new and remarkable era in United States monetary history. But what would Milton Friedman say? An examination of Friedman’s own writings, together with an analysis of both historical and recent data on money, income, and prices, leaves no doubt that he would be quite concerned. Unless the Federal Reserve moves decisively to wind down and reverse its large-scale asset purchases and raise its target for the federal funds rate, higher inflation will persist.
Covid-19 Effect on the Assessment of the Use of Smartphone Apps in STEM Learning

The purpose of the study is to analyze the impact of the Covid-changed learning environment on the assessment of mobile applications for learning STEM disciplines. The study presents the results of the surveys of teachers (n = 38, age 32-52) and students (n = 188, age 19-21) of Sechenov First Moscow State Medical University and Kazan Federal University. The participants evaluated the effectiveness of mobile applications designed to study STEM disciplines. A thorough analysis of three apps dedicated to STEM learning and nine auxiliary niche apps allowed revealing their pros and cons, in particular, expanded student opportunities, the ability to study while staying in the Russian Federation, the availability of a Russian-language version, and the ability to make an appointment (for teachers or students). Due to the increased use of mobile devices by young people, the time frame for completing lessons and motivation to accomplish assignments (tasks related to engineering, solving problems in a notebook, taking notes, completing assignments on the device and in the notebook) were also defined as important. The analysis of mobile apps in the context of distance and blended learning unveiled that, in addition to the well-known criteria, the assessment of such learning means should also make allowance for the possibility to complete tasks outside the digital space, screen time reduction capacity, and accessibility for users. Learning based on a mobile application must be planned to encourage student thinking, the desire to obtain good results, and involvement in project activity. The research results can be used for improving educational applications dedicated to learning various disciplines.
Structures Of Remotely Related Interacting Protein Homologues Are Less Divergent Than Non-Interacting Homologues

Background: Homologous proteins could display high structural variations felt due to evolutionary divergence at low sequence identity. This classical inverse relationship between sequence identity and structural similarity, established many years ago, has remained true between homologous proteins of known structure over time. However, large number of heteromeric proteins also exist in the structural data bank, where the interacting subunits belong to the same fold and maintain low sequence identity between themselves. It is not clear if there is any selection pressure to deviate from the inverse sequence-structure relationship for such interacting distant homologues, in comparison to pairs of homologues which are not known to interact. Results: We examined 12,824 fold pairs of interacting homologues of known structure, which includes both heteromers and multi-domain proteins. These were compared with monomeric proteins, resulting 26,082 fold pairs as a dataset of non-interacting homologous systems. Our analysis suggests that interacting homologues retain higher structural similarity than non-interacting homologues at diminishing sequence identity in a statistically signi�cant manner. Conclusion: Interacting homologues are more similar in their 3D structures than non-interacting homologues and has a preference towards symmetric association. There appears to be a structural constraint between remote homologues due to this commitment.
E XPLORING THE P OTENTIALS OF I NTRALINGUAL S UBTITLING IN S ECOND L ANGUAGE L EARNING : A N E XPERIMENTAL S TUDY WITH EFL U NIVERSITY S TUDENTS

In the last two decades, Audiovisual Translation (AVT) studies have become of interest for Second Language Acquisition (SLA) researchers, particularly regarding the use of subtitles in language learning activities. This paper will present an experiment aimed at investigating the role of subtitled 'input enhancement' in SLA. The study involved a group of Italian native students of English as a Foreign Language (EFL) from Milan University. They were exposed to a video with three different subtitling techniques (interlingual subtitles, intralingual subtitles, and enhanced intralingual subtitles), and they were asked to perform a proficiency test immediately after the exposure to the video. The study showed that visual enhancements in the subtitled input improve learners’ noticing process of language features, thus facilitating short-term vocabulary acquisition. The results proved that future SLA and AVT cross-studies should focus on input enhancement in the subtitles to improve learners’ noticing process of language features in the input.
Rotation of PRODAN in excited state

Instant spectra and anisotropy kinetics of PRODAN luminescence in different ranges of spectra has been studied upon excitation by picosecond pulses. Instant spectra of luminescence reveal time dependent Stokes shift having intermolecular nature as its characteristic time correlates with dielectric relaxation time of solvent. The mean Brownian rotation time for the curves obtained shows complex character of spectral dependence with maximum ~39 ns near maximum of luminescence intensity and drops down to 15 ns on the edges of the spectrum. An explanation is based on a treatment of intermolecular energy conversion into thermal movement of molecules during relaxation in excited state. Calculations using hydrodynamic model show “stick” boundary conditions for solutes: rotational volumes correspond to solute together with molecules of the first coordinative sphere filled by solvent.
Outlier blindness: A neurobiological foundation for neglect of ﬁnancial risk (cid:2)

How do people record information about the outcomes they observe in their environ- ment? Building on a well-established neuroscientiﬁc framework, we propose a model in which people are hampered in their perception of outcomes that they expect to seldom encounter. We provide experimental evidence for such “outlier blindness” and discuss how it provides a microfoundation for neglected tail risk by investors in ﬁnancial markets. and invalu-able
Mathematical Description of Turbulent Flows

The mathematical description of uniform density and thermally stratified flows in terms of space averages is reviewed. The governing equations are presented and the use of alternative space filters is discussed. Different models for Sub-Grid-Scale (SGS) turbulent transport are examined. A simple algebraic model for the SGS Reynolds stresses and turbulent heat flumes in thermally stratified flows is presented. The model is cast in eddy viscosity - eddy diffusivity form. Its derivation is based on making appropriate closure approximations in the differential equations for the Reynolds stresses and the turbulent heat fluxes and introducing simplifying assumptions to reduce these equations to a system of algebraic equations. The solution of this system yields eddy coefficients which are functions of a local SGS turbulence length scale and the local structure of the velocity and the temperature fields. The variation of these coefficients with a local Richardson number is examined. Potential numerical problems which can be caused by improper formulation of the model are discussed.
Modal model theory

This paper contributes to the model theory of modal logic using bisimulations as the fundamental tool. A uniform presentation is given of modal analogues of well-know definability and preservation results from first-order logic. These results include algebraic characterizations of modal equivalence, and of modally definable classes of models; the preservation results concern preservation of modal formulas under submodels, unions of chains and homomorphisms.
RESHAPING THE FUTURE OF RETAIL MARKETING THROUGH “BIG DATA”: A REVIEW FROM 2009 TO 2022

Technological revolutions have brought drastic changes in every field of life and Big Data is one of them. At the same time marketing function in retail organizations is also getting more sophisticated and personalized. Big Data has driven the digital transformation by gaining the faster insights from faster data. The increasing speed of data generation has made it very difficult for the organizations to extract useful data and take decisions accordingly. Organizations are using data driven decisions which not only help them to deal with industry challenges but also help them to take decisions based on the valuable data. There has been increasing emphasis in literature on big data but still it remains rather less explored area. The objective of this review article is to give readers an overview of work done in the field of big data especially in context of retail marketing. Thematic analysis has been used in the following review while using PRISMA framework to improve transparency in systematic review. Findings have been presented in the respective themes. Big data has emerged after 2008, keeping that in mind data from 2009-2022 is reviewed from good impact factor journals. The following reviewed paper address definitions, types of big data, different techniques, and methods used to extract information about customers and businesses from big data and key benefits of big data in retail marketing. In the end, future directions are stated from reviewed articles. As big data is in the initial stages of its development, for the enrichment of big data studies, different domains of business studies should be applied to big data. It will open new avenues for future research and lay the basic foundations
A THEORETICAL AND NUMERICAL STUDY FOR THE ROD-LIKE MODEL OF A POLYMERIC FLUID ∗1)

The first part of this paper is concerned with the well-posedness for the rigid rod-like model in shear flow of a polymeric fluid. The constitutive relations considered in this work are motivated by the kinetic theory. The stress tensor is given by an integral which involves the solution of the Fokker-Planck equation. A novel numerical scheme for the FokkerPlanck equation is proposed, which preserves the positivity of the distribution function. Another part of this work establishes the convergence theory of the fully discretized schemes for a simple micro-macro simulation of a polymeric flow.
Corporate University New Practices of Apparatus Competency Development in Indonesia

— The urgency of Corpu development in government agencies is in line with the mandate of Government Regulation Number 17 in 2020 concerning Amendments to Government Regulation Number 11 in 2017 concerning Management of Civil Servants. Article 203 paragraph (4a) states that competency development is carried out through an integrated learning system approach (corporate university) which is followed up by East Java Governor Regulation Number 59 in 2021. This shows that the Corpu approach has been accepted as part of a competency development policy, and needs to be implemented by all government agencies. Corpu in this case is interpreted as an ASN competency development approach that acts as a strategic tool to support the achievement of the organization's vision and mission through an integrated learning process involving experts from inside/outside government agencies. ASN Corpu structure does not need to be formed in an organizational structure, attached to the existing organizational structure. The tasks, functions and activities that exist in ASN Corpu can be added to the tasks and functions of the applicable structure.