Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustainable Choices and Behaviors among Eco-Friendly Museum Travelers: Exploring the Drivers of Sacrifice, Visit, Pay, and WOM Intentions

This research developed a sturdy theoretical framework that offers a better comprehension regarding customer approach intentions for eco-friendly museum products. Using a quantitative process, the apparent role of ecological value, connectedness to nature, social pressure, pro-environmental reputation was explored. Data quality testing demonstrated the validity of the construct measures. The critical mediating nature of customer-product relationship quality and feeling of pride was unveiled by conducting a structural analysis. In addition, the feeling of pride was a prominent factor determining sacrifice, visit, pay, and word of mouth (WOM) intentions. Social pressure played a major role in building relationship quality, whereas pro-environmental reputation was a key contributor to increase the feeling of pride. The model contained a strong prediction power for intentions. Results of this study contribute to enriching the extant knowledge regarding customer pro-environmental decision-making process, which is helpful for an eco-friendly museum and its success.
Attachment of Functionalized Poly(ethylene glycol) Films to Gold Surfaces

The attachment of linear poly(ethylene glycol) (PEG) molecules (MW = 2000−5000) to gold surfaces via orthopyridyl−disulfide (OPSS) terminal groups has been studied with X-ray photoelectron spectroscopy (XPS), time-of-flight secondary ion mass spectrometry (TOF−SIMS), and surface plasmon resonance (SPR). The molecules examined included a PEG molecule terminated with a methoxy group and derivatized with an OPSS group at the other end (M-PEG-OPSS), a PEG molecule derivatized with OPSS at both ends (PEG-(OPSS)2), and a PEG derivatized with an N-hydroxysuccinimide group at one end and an OPSS group at the other (NHS-PEG-OPSS). Exposure of gold to aqueous solutions of these resulted in immobilization via gold−thiolate bonds from the OPSS disulfide groups. The resulting mixed PEG−/OPS− thiolate monolayers were not always in 1:1 ratio. Most of the PEG-(OPSS)2 molecules formed gold−thiolate bonds at both ends, but some left a free, intact OPSS group. For biosensor applications, this or the free NHS groups in the N.
Predominance of Candida Glabrata among Non-albicans Candida Species in a 16-Year Study of Candidemia at a Tertiary Care Center in Lebanon

Background: Candidemia is associated with a high mortality rate, and its incidence is increasing worldwide with a rise in non-albicans candidemia (NAC). Epidemiologic data from Arab countries are scarce and there are no data from Lebanon; Methods: This is a single-center retrospective chart review of patients with candidemia in a tertiary care center in Lebanon from 2004 to 2019. We extracted data on patient characteristics, isolated Candida species antifungal susceptibility, management and outcomes; Results: We included 170 cases of candidemia. NAC was more common than albicans candidemia (64.7% vs. 35.3%). C. glabrata was the most common non-albicans species (37 isolates) followed by C. tropicalis (14). Recent use of antifungals was a risk factor for NAC (OR = 2.8, p = 0.01), while the presence of a central venous catheter was protective (OR = 0.41, p = 0.02). Fluconazole resistance was 12.5% in C. albicans and 21.5% in non-albicans spp. Mortality at 30 days was 55.5%, with no difference between NAC and albicans candidemia. It was higher in older and critically ill patients but lower in patients whose central venous catheter was removed after detecting fungemia; Conclusions: Candidemia is associated with high mortality in Lebanon, with a predominance of NAC and high prevalence of C. glabrata.
Thermomechanical Analysis of Isora Nanofibril Incorporated Polyethylene Nanocomposites

The research on cellulose fiber-reinforced nanocomposites has increased by an unprecedented magnitude over the past few years due to its wide application range and low production cost. However, the incompatibility between cellulose and most thermoplastics has raised significant challenges in composite fabrication. This paper addresses the behavior of plasma-modified polyethylene (PE) reinforced with cellulose nanofibers extracted from isora plants (i.e., isora nanofibrils (INFs)). The crystallization kinetics of PE–INF composites were explained using the Avrami model. The effect of cellulose nanofillers on tuning the physiochemical properties of the nanocomposite was also explored in this work. The increase in mechanical properties was due to the uniform dispersion of fillers in the PE. The investigation on viscoelastic properties confirmed good filler–matrix interactions, facilitating the stress transfer.
Endothelial TLR2 promotes proangiogenic immune cell recruitment and tumor angiogenesis

Toll-like receptor 2 contributes to innate immune responses in endothelial cells as well as in immune cells. A shared Toll for innate immunity Toll-like receptor 2 (TLR2) is found in various tissues but is best known for its role in the innate immune system of activating sentinel immune cells in response to infection. Using conditional knockout mice, McCoy et al. found that TLR2 also mediated innate immune signaling within the endothelium. TLR2 in endothelial cells activated proinflammatory signaling that promoted angiogenesis and immune cell recruitment in response to various “danger” signals, such as those produced during infection or tissue damage. Endothelial TLR2 also supported tumor growth in a mouse model of prostate cancer. These findings show that the endothelium contributes to innate immune responses and that TLR2 may be a therapeutic target in cancer (see also the Focus by Mahfoud and Petrova). Toll-like receptor 2 (TLR2) is implicated in various pathologies, mainly in terms of its function within innate immune cells. However, TLR2 is also present in endothelial cells. Here, we explored the physiological and pathophysiological roles of endothelial TLR2 signaling. We found that TLR2 was highly abundant in the endothelium within various tissues using TLR2-IRES-EGFP reporter mice and was required for proinflammatory endothelial cell function. Endothelial cells lacking TLR2 exhibited reduced proinflammatory potential at the protein, cell, and tissue levels. Loss of endothelial TLR2 blunted the inflammatory response to both exogenous and endogenous danger signals in endothelial cells in culture and in vivo. Endothelial TLR2 promoted tumor growth, angiogenesis, and protumorigenic immune cell recruitment in a mouse model of prostate cancer. Furthermore, the cell surface localization of P-selectin and the subsequent production of other critical cell adhesion molecules (such as E-selectin, ICAM-1, and VCAM-1) that recruit immune cells required endothelial TLR2. Our findings demonstrate that endothelial cells actively contribute to innate immune pathways and propose that endothelial TLR2 has a pathological role in proinflammatory conditions.
Relationship between Industrialization, Urbanization and Industrial Ecology in Western China: A Panel Vector Auto-Regression Model Analysis

Abstract: As the foundation of modern economic development, industry is the engine of industrialized and urbanized development. Industrial ecology is a high-level form of industry that is achieved after it has reached a certain stage, which guides the coordinated industrial development balancing mankind and nature. The implementation of industrial ecology is an important method and effective approach to realize the sustainable development of industrialization and urbanization. In this article, based on the inter-provincial panel data of western China during 2003-2018, the spatial development trends of industrialization, urbanization and industrial ecology are analyzed, and an empirical method is employed to conduct a robustness test based on the Panel Vector Auto-Regression (PVAR) model to determine the long-term interactions among these three aspects. The results show that it is difficult to manifest the short-term causal relationships among industrialization, urbanization and industrial ecology. After lagging for three periods, they present the Granger causality, the industrial ecology and industrialization have promoted urbanization, and the coefficient for the influence of industrial ecology on urbanization is 0.4612. However, industrialization and urbanization have negative impacts on industrial ecology, and with a 1% increase in industrialization or urbanization, the industrial ecology will decline by 0.2261% or 0.2850%, respectively. With the continuation of the lagging period, industrial ecology will have better interpretability than industrialization and urbanization, and industrialization and eco-friendly development have strong self-accumulation development mechanisms, while the self-accumulation mechanism of urbanization is not obvious, and it might even have a decline. By fulfilling the role of the regional leading industry, the state of unbalanced internal development can be improved, so as to realize mutual promotion between industrialization and urbanization. By improving the utilization rates of resources and energy, efforts should be made to implement green production, significantly promote industrial ecology, and boost high-quality development of both the regional economy and society.
Wfs1 and Related Molecules as Key Candidate Genes in the Hippocampus of Depression

Background Depression is a prevalent mental disorder, which is difficult to diagnose and treat due to its unclear pathogenic mechanisms. The discovery of novel and effective therapeutic targets for depression is urgently needed. The hippocampus is a crucial region involved in depression and has been a therapeutic target for many antidepressants. Thus, it is beneficial for comprehensive research to be carried out on the molecular mechanisms of the hippocampus involved in the pathogenesis of depression. This study aims to investigate the differentially expressed genes (DEG) in the hippocampus in a chronic unpredictable mild stress (CUMS) mouse model. Method The study obtained GSE84183 from the GEO database. The R language screened the differential expression genes (DEG) in the hippocampus tissue of depressed mice, and the enrichment pathways of DEGs were analyzed. A protein-protein interaction (PPI) network was constructed in the STRING database and visualized in Cytoscape software. MicroRNAs for these DEGs were obtained from TarBase and mortar base databases, and transcription factors (TF) related to DEG were predicted from the ENCODE database. Both networks used the visual analysis platform NetworkAnalyst. Finally, the microRNA-TF network was integrated based on the above two networks and imported into Cytoscape for further analysis. Results This study screened 325 differentially expressed genes, containing 42 downregulated genes and 283 upregulated genes. Most of these genes are enriched in the cell cycle and the chemokine signaling pathway. Meanwhile, Wfs1, one of the top ten DEGs, was identified as the key regulator of the cell cycle and the participator in the highest number of modules screened out in PPI networks. Wfs1-related molecules, including UBTF, mmu-mir-17-5p, and mmu-mir-7b-5p, were therefore screened out. Furthermore, we confirmed the downregulation of Wfs1 and upregulation of UBTF/mmu-mir-17-5p/mmu-mir-7b-5p in the hippocampus of the CUMS mouse model. Our data indicate that Wfs1 and related molecules were predicted to be associated with the pathological process of depression. This research provided potential new molecular targets of stress-induced depression.
Impacts of Mootral on Methane Production, Rumen Fermentation, and Microbial Community in an in vitro Study

Methane mitigation strategies have a two-sided benefit for both environment and efficient livestock production. This preliminary short-term in vitro trial using Mootral (garlic and citrus extracts), a novel natural feed supplement, was conducted to evaluate its efficacy on rumen fermentation characteristics, methane production, and the bacterial and archaeal community. The experiment was performed as a batch culture using rumen fluid collected from sheep, and Mootral was supplemented in three concentrations: 0% (Control), 10%, and 20% of the substrate (50% Grass:50% Concentrate). The rumen fermentation data and alpha diversity of microbial community were analyzed by ordinary one-way analysis of variance. The relative abundance and statistical significance of families and operational taxonomic units (OTUs) among the groups were compared by Kruskal–Wallis H test using Calypso software. After 24-h incubation at 39°C, Mootral in a dose-dependent manner improved the production of total volatile fatty acids and propionate while it reduced the acetate proportion and acetate/propionate ratio. The total produced gas was two times higher in the Mootral-supplemented groups than control (P < 0.01), while the proportion of methane in the produced gas was reduced by 22% (P < 0.05) and 54% (P < 0.01) for 10 and 20% Mootral, respectively. Mootral did not change pH, digestibility, and ammonia-nitrogen. Microbial community analyses showed that Mootral effectively changed the ruminal microbiome. The bacterial community showed an increase of the relative abundance of the propionate-producing family such as Prevotellaceae (P = 0.014) and Veillonellaceae (P = 0.030), while there was a decrease in the relative abundance of some hydrogen-producing bacteria by Mootral supplementation. In the archaeal community, Methanobacteriaceae was decreased by Mootral supplementation compared with control (P = 0.032), while the Methanomassiliicoccaceae family increased in a dose-dependent effect (P = 0.038). The results of the study showed the efficacy of the new mixture to alter the ruminal microbial community, produce more propionate, and reduce microbial groups associated with methane production, thus suggesting that Mootral is a promising natural mixture for methane reduction from ruminants.
Early Stages of Alzheimer's Disease: Evolving the Care Team for Optimal Patient Management

Alzheimer's disease (AD) is a progressive, neurodegenerative disease that creates complex challenges and a significant burden for patients and caregivers. Although underlying pathological changes due to AD may be detected in research studies decades prior to symptom onset, many patients in the early stages of AD remain undiagnosed in clinical practice. Increasing evidence points to the importance of an early and accurate AD diagnosis to optimize outcomes for patients and their families, yet many barriers remain along the diagnostic journey. Through a series of international working group meetings, a diverse group of experts contributed their perspectives to create a blueprint for a patient-centered diagnostic journey for individuals in the early stages of AD and an evolving, transdisciplinary care team. Here, we discuss key learnings, implications, and recommendations.
Digital Resilience Biomarkers for Personalized Health Maintenance and Disease Prevention

Health maintenance and disease prevention strategies become increasingly prioritized with increasing health and economic burden of chronic, lifestyle-related diseases. A key element in these strategies is the empowerment of individuals to control their health. Self-measurement plays an essential role in achieving such empowerment. Digital measurements have the advantage of being measured non-invasively, passively, continuously, and in a real-world context. An important question is whether such measurement can sensitively measure subtle disbalances in the progression toward disease, as well as the subtle effects of, for example, nutritional improvement. The concept of resilience biomarkers, defined as the dynamic evaluation of the biological response to an external challenge, has been identified as a viable strategy to measure these subtle effects. In this review, we explore the potential of integrating this concept with digital physiological measurements to come to digital resilience biomarkers. Additionally, we discuss the potential of wearable, non-invasive, and continuous measurement of molecular biomarkers. These types of innovative measurements may, in the future, also serve as a digital resilience biomarker to provide even more insight into the personal biological dynamics of an individual. Altogether, digital resilience biomarkers are envisioned to allow for the measurement of subtle effects of health maintenance and disease prevention strategies in a real-world context and thereby give personalized feedback to improve health.
Mga safeguards embryonic stem cells from acquiring extraembryonic endoderm fates

Mga functions as a gatekeeper to prevent embryonic stem cells from entering into the endodermal lineage. Polycomb group (PcG) proteins form multiprotein complexes that affect stem cell identity and fate decisions by still largely unexplored mechanisms. Here, by performing a CRISPR-based loss-of-function screen in embryonic stem cells (ESCs), we identify PcG gene Mga involved in the repression of endodermal transcription factor Gata6. We report that deletion of Mga results in peri-implantation embryonic lethality in mice. We further demonstrate that Mga-null ESCs exhibit impaired self-renewal and spontaneous differentiation to primitive endoderm (PE). Our data support a model in which Mga might serve as a scaffold for PRC1.6 assembly and guide this multimeric complex to specific genomic targets including genes that encode endodermal factors Gata4, Gata6, and Sox17. Our findings uncover an unexpected function of Mga in ESCs, where it functions as a gatekeeper to prevent ESCs from entering into the PE lineage by directly repressing expression of a set of endoderm differentiation master genes.
PEER systematic review of randomized controlled trials

Abstract Objective To determine the proportion of chronic low back pain patients who achieve a clinically meaningful response from different pharmacologic and nonpharmacologic treatments. Data sources MEDLINE, EMBASE, Cochrane Library, and gray literature search. Study selection Published randomized controlled trials (RCTs) that reported a responder analysis of adults with chronic low back pain treated with any of the following 15 interventions: oral or topical nonsteroidal anti-inflammatory drugs (NSAIDs), exercise, acupuncture, spinal manipulation therapy, corticosteroid injections, acetaminophen, oral opioids, anticonvulsants, tricyclic antidepressants, serotonin-norepinephrine reuptake inhibitors (SNRIs), selective serotonin reuptake inhibitors, cannabinoids, oral muscle relaxants, or topical rubefacients. Synthesis A total of 63 RCTs were included. There was moderate certainty that exercise (risk ratio [RR] of 1.71; 95% CI 1.37 to 2.15; number needed to treat [NNT] of 7), oral NSAIDs (RR = 1.44; 95% CI 1.17 to 1.78; NNT = 6), and SNRIs (duloxetine; RR = 1.25; 95% CI 1.13 to 1.38; NNT = 10) provide clinically meaningful benefits to patients with chronic low back pain. Exercise was the only intervention with sustained benefit (up to 48 weeks). There was low certainty that spinal manipulation therapy and topical rubefacients benefit patients. The benefit of acupuncture disappeared in higher-quality, longer (> 4 weeks) trials. Very low-quality evidence demonstrated that corticosteroid injections are ineffective. Patients treated with opioids had a greater likelihood of discontinuing treatment owing to an adverse event (number needed to harm of 5) than continuing treatment to derive any clinically meaningful benefit (NNT = 16), while those treated with SNRIs (duloxetine) had a similar likelihood of continuing treatment to attain benefit (NNT = 10) as those discontinuing the medication owing to an adverse event (number need to harm of 11). One trial each of anticonvulsants and topical NSAIDs found similar benefit to that of placebo. No RCTs of acetaminophen, cannabinoids, muscle relaxants, selective serotonin reuptake inhibitors, or tricyclic antidepressants met the inclusion criteria. Conclusion Exercise, oral NSAIDs, and SNRIs (duloxetine) provide a clinically meaningful reduction in pain, with exercise being the only intervention that demonstrated sustained benefit after the intervention ended. Future high-quality trials that report responder analyses are required to provide a better understanding of the benefits and harms of interventions for patients with chronic low back pain.
On the sequence of deformable mirrors in MCAO: findings from an on-sky, closed-loop experiment

We performed an on-sky MCAO experiment using 4 deformable mirrors (DMs) to analyze the relevance of their sequence to the residual wavefront error. Two DMs were conjugate to 4 and 8 km. The other two DMs were placed in pupil images upstream and downstream of the 4-km and 8-km mirrors. At any time, both high altitude DMs were active but only one pupil DM was active while the other one stayed flat. Firstly, we found that the MCAO control loops using either pupil DM were stable and robust. Dynamic misregistration, which was present for the first pupil DM, was not an immediate problem for the controller. We did not notice an apparent difference when repeatedly switching between the pupil DMs during the operation. A closer analysis of the contrast in the corrected images and AO telemetry indicates an advantage when the pupil correction was applied with the DM that was downstream of the high-altitude DMs. This finding is consistent in several data recorded at different days. The difference, however, is small. A more detailed analysis is probably needed to rule out error sources potentially not considered herein to draw a final conclusion on the optimal sequence of DMs in MCAO and its practical relevance.
A Vision to Mitigate Bioinformatics Software Development Challenges

Developers construct bioinformatics software to automate crucial analysis and research related to biological science. However, challenges while developing bioinformatics software can prohibit advancement in biological science research. Through a human-centric systematic analysis, we can identify challenges related to bioinformatics software development and envision future research directions. From our qualitative analysis with 221 Stack Overflow questions, we identify six categories of challenges: file operations, searching genetic entities, defect resolution, configuration management, sequence alignment, and translation of genetic information. To mitigate the identified challenges we envision three research directions that require synergies between bioinformatics and automated software engineering: (i) automated configuration recommendation using optimization algorithms, (ii) automated and comprehensive defect categorization, and (iii) intelligent task assistance with active and reinforcement learning.
An Annotation Approach for Radiology Reports Linking Clinical Text and Medical Images with Instructional Purposes

Clinical annotation is a critical issue in multiple medical disciplines, and particularly within the radiology domain. The current research deals with a broad concept of annotation that can be used when working with the clinical textual descriptions from radiology reports as well as with the digital images that are attached to this kind of reports. In this context, the main goal of this paper consists of providing physicians and radiology staff with a technical structure to fully integrate the annotation processes both for clinical texts and their associated medical images. Unlike other annotation approaches, the present proposal primarily has an instructional purpose that allows practitioners to experiment with annotation mechanisms from an academic perspective. The approach proposed is complemented by the Clavy system to retrieve clinical corpora coming from multiple medical repositories and convert them into reconfigurable digital collections. Its application, together with the development of the CARS annotation plug-in, has enabled the instructional deployment of multimedia-based radiology collections, thus making them available as educational resources. A case study has been used to show the potential of this approach and its possibilities to annotate and analyze different examples of radiology reports.