Miracle-dz/UniFAR-FTUs huggingface dataset:
PHENOTYPIC PLASTICITY IN ACROPORA PULCHRA UNDER VARIED ENVIRONMENTAL CONDITIONS

The extent to which coral reefs have declined globally has triggered major scientific investment in coral restoration research. However, much of the predictions for reef futures do not include the capacity for coral acclimatization, or phenotypic plasticity, and how this plasticity varies across seasons. In light of this, we outlplanted clonal replicates of distinct genotypes of the reef building coral Acropora pulchra from an existing coral nursery common garden site to three sites on the North Shore of Mo’orea, French Polynesia. After transplantation (October 2019), the outplanted colonies were sampled at all three sites in January and November of 2020, for the following physiological metrics; maximum photosynthetic rate (Am), photosynthetic efficiency (AQY), dark respiration (Rd), chlorophyll concentration, symbiont density, total protein, and ash free dry weight. Nursery genotypes and wild corals from two of the outplant sites were sampled at the outset of the experiment (October 2019) to provide a physiological baseline, which identified differences in coral physiology between the common garden and the wild corals from the two sites. Our results show that outplanted corals displayed significantly different phenotypes both through time and between sites. Our data show that plasticity score (calculated as the differences in multivariate space between October 2019 and each of the other timepoints for each genotype) was highest across all sites 3 months after transplantation (January 2020) and decreased across all sites by 13 months (November 2020) This identifies a capacity for site driven phenotypic plasticity that became more similar to the baseline common garden phenotype by 13 months, due to location acclimation, or seasonal environmental similarities. This study demonstrates that plasticity varies by site and through seasons, highlighting the need for physiological time series research to interpret performance in following human interventions
Primary care redesign and care fragmentation among Medicare beneficiaries.

OBJECTIVES To determine associations between a large-scale primary care redesign-the Comprehensive Primary Care Plus (CPC+) Initiative-and the extent of continuity or fragmentation of ambulatory care for Medicare fee-for-service beneficiaries during the first 3 years of CPC+. STUDY DESIGN We used a difference-in-differences framework with a comparison group of practices that were similar to CPC+ practices at baseline (eg, practice size, demographics, Medicare spending). Regressions controlled for clustering, baseline patient characteristics, and practice fixed effects. Our study covered January 2016 through December 2019 and included 1,085,707 beneficiaries attributed to 2883 CPC+ practices and 2,274,068 beneficiaries attributed to 6912 comparison practices. METHODS We focused on beneficiaries with highly fragmented care at baseline because they may have changed the most in response to CPC+. Key outcome measures were the numbers of ambulatory visits and unique practitioners, reported by specialty category; the percentage of visits with the usual provider of care (measuring continuity); and the reversed Bice-Boxerman Index (rBBI; measuring fragmentation). RESULTS Medicare beneficiaries with high fragmentation (rBBI ≥ 0.85) at baseline (40% of the sample) had a mean of 13 ambulatory visits across 7 practitioners; the most frequent provider of care accounted for only 28% of visits. By contrast, the remaining beneficiaries had a mean of 10 visits across 4 practitioners, with the most frequent provider accounting for 54% of visits. There were no differences in continuity or fragmentation of care for CPC+ vs comparison beneficiaries. CONCLUSIONS We find no evidence that CPC+ increased continuity or decreased fragmentation of care.
Investigation of the Repairing Effect and Mechanism of Oral Degraded Sericin on Liver Injury in Type II Diabetic Rats

In the sericulture and silk production industry, sericin is discharged in the degumming wastewater, resulting in a large amount of wasted natural protein and environmental pollution. This study investigated the effect of degraded sericin recovered by the Ca(OH)2–ultrasound degumming method (a green process) on liver injury in T2D rats. After 4 weeks of dietary sericin supplementation, the liver masses and organ coefficients of the T2D rats improved compared with those of the model rats that were not fed sericin. Oral sericin activated the damaged PI3K/AKT/AMPK pathway to enhance glycogen synthesis, accelerate glycolysis, and inhibit gluconeogenesis. The protein expression levels of the inflammatory factors NF-κB, IL-6, and TNF-α in the T2D model group were up to two times higher than in the normal group. However, all three T2D groups that received oral sericin showed significant decreases in these factors to the level found in the normal group, indicating that inflammation in the body was significantly reduced. These results show that the sericin protein might improve glycogen synthesis, accelerate glycolysis, and inhibit gluconeogenesis by enhancing the anti-oxidation capability and reducing inflammatory reactions. Therefore, sericin recovered by Ca(OH)2 degradation has potential use in the development of functional health foods that can lower blood sugar.
Analysis of Marketing Forecasting Model Based on Genetic Neural Networks: Taking Clothing Marketing as an Example

In this paper, according to the requirements of clothing sales forecast, the forecast model of clothing sales is constructed. Through the design of cyclic structure, the adverse effects of uncertainty, hysteresis, and time-varying factors of the predicted object are overcome, and the prediction procedure is theoretically standardized. Aiming at the shortcomings of traditional NN sales forecasting algorithm, such as low learning efficiency, slow convergence speed, and easy to fall into local minimum, this paper puts forward some improvement measures. Adaptive learning efficiency is used to improve the effectiveness and convergence of the algorithm, additional momentum method is used to improve the adaptability of the algorithm, and improved GA is used to optimize the weights of NN. Improve the global optimization characteristics of GA to achieve the purpose of fast optimization and accurate prediction. Finally, an example is used to verify the algorithm. On this basis, the correlation adaptability and prediction accuracy of clothing prediction methods are compared and analyzed, combined with the theoretical analysis of various methods, to explore the practical applicability of various methods under different prediction conditions. It provides an important basis for the decision-making of garment enterprises.
Association between the Suita Score and Stroke Recurrence in Patients with First-ever Ischemic Stroke: A Prospective Cohort Study

Objective The Suita score is used to predict the 10-year prognosis of developing coronary heart disease (CHD). This study examined the association between the Suita score and stroke recurrence within one year in Japanese patients who experienced first-ever ischemic stroke. Methods This prospective cohort study at a stroke center in Japan included patients who experienced first-ever acute ischemic stroke (AIS) or a transient ischemic attack (TIA). During hospitalization, the Suita score was measured as the main exposure. Patients with a ≥5% predicted CHD risk were classified into the high-risk group. The primary outcome was stroke recurrence within one year of the stroke onset. A multivariate Cox regression analysis was conducted and adjusted for confounding and prognostic factors. Results Among the 1,204 patients evaluated, 937 (78%) were classified as having a high risk of developing CHD. Stroke recurrence was observed in 66 patients during the follow-up period. In the multivariate analysis, after adjusting for confounding and prognostic factors, such as non-small vessel occlusion and prescription of lipid-lowering agents at the time of discharge, a ≥5% predicted CHD risk was associated with the 1-year stroke recurrence after the initial onset [adjusted hazard ratio (HR)=2.20, 95% confidence interval (CI)=1.00-4.91, p=0.049; adjusted HR=2.00, 95% CI=1.01-4.14, p=0.048; adjusted HR=0.42, 95% CI=0.24-0.73, p=0.002]. Conclusion The Suita score, adapted for use in ischemic stroke with the same mechanism, correlated with the short-term recurrence within one year. Our findings suggest that the Suita score may be useful for predicting the long-term prognosis of developing CHD as well as the short-term recurrence for patients with first-ever AIS and TIA.
The affordances of metaphor for diachronic corpora & discourse analysis

This paper examines the utility of metaphor as an investigative tool in “long-distance” corpora and discourse studies. I show that metaphor is both important for understanding discourses and useful for diachronic analysis because it allows us to abstract out above the purely lexical level, enabling comparison across contexts where the same concept could be lexicalised differently. The case-study is concerned with the oft-discussed metaphor of migrants are water in the UK-based Times newspaper from 1800–2018 and the conventionalisation and evaluative patterns are presented. The findings confirm that the water metaphor has an extensive discourse history regarding how migration is represented in the UK press, but also that evaluations may differ significantly. The paper shows how metaphor can provide a way to find discourse evaluations and framings across different time periods. The use of second-order collocates illustrates how corpus tools can help re-contextualise data to ensure interpretation heeds contemporary framings.
Impacts of Major Crop Production on the Agricultural Sector in Bangladesh: A Time Series Analysis

The main objective of this research article is to analyze the impact of the production of some major crops, namely rice, jute, wheat, sugarcane, and potato on the agriculture sector in Bangladesh. The agriculture sector is considered an important sector of the Bangladeshi economy, which supplies a significant proportion of the gross domestic product (GDP). Annual time-series data for the period 1988–2017 is used for the study. Several econometric techniques are employed to examine the data, including the augmented Dickey-Fuller (ADF) test, Johansen cointegration test, and ordinary least squares (OLS) method. To validate the model, some residual diagnostic tests, namely a normality test, heteroskedasticity test, serial correlation test, and stability diagnostic test are conducted. The findings of the study demonstrate that there are two cointegrating equations in the model. Furthermore, both wheat and jute production have a significant positive impact on the agriculture sector. Although the impacts of rice and potato production on the agriculture sector are positive, these are not significant at the 5 or 10 percent significance level. On the other hand, sugarcane production has a negative and significant impact on the agriculture sector, which was not expected. Based on the results, this paper recommends that the government of Bangladesh should focus on designing and implementing new funding policies and subsidies to improve the growth, production, and development of the sugarcane sector. Finally, the government should be concerned about climate change-related factors that negatively affect crop production in Bangladesh.
Immune checkpoint inhibitors further aggravate proteinuria in patients with metastatic renal cell carcinoma after long-term targeted therapy

Background Increasing number of patients with metastatic renal cell carcinoma (mRCC) are receiving subsequent programmed cell death protein-1 (PD-1) inhibitor combination therapy following tyrosine-kinase inhibitor (TKI) resistance. To explore whether PD-1 inhibitor would further deteriorate proteinuria and renal function, we observed their proteinuria’s and renal function’s condition since the administration of PD-1 inhibitor. Methods To assess the change in proteinuria and renal function, the data of 141 patients with mRCC treated with TKI were collected, 66 of whom were further prescribed PD-1 inhibitor. Proteinuria and estimated glomerular filtration rate (eGFR) were measured and analyzed. Logistic regression models were established to identify the predictors of proteinuria deterioration and significant eGFR decline (≥15%). Results Of the 141 patients, 74 (52%) had an increase in proteinuria level after an average of 22.98 months of TKI treatment. In multivariate analysis, longer duration of TKI (>12 months) and administration of PD-1 inhibitor were independent predictors for proteinuria deterioration. The median eGFR decreased from 81.56 mL/min/1.73 m2 to 66.75 mL/min/1.73 m2 after TKI treatment. Logistic regression identified older age (>60 years old) and longer duration of TKI (>12 months) as independent predictors for significant eGFR decline. Finally, of the 66 patients who received subsequent PD-1 inhibitor, 34 had sufficient proteinuria and eGFR data at follow-up. The level of proteinuria increased further after the administration of PD-1 inhibitor, although the decrease in eGFR was not statistically significant (P=0.182). Log-rank analysis identified proteinuria deterioration and eGFR decline were both significantly associated with patent’s survival (P<0.001). Conclusions Targeted therapy was associated with an increase in proteinuria level and a decrease in eGFR in patients with mRCC. The administration of PD-1 inhibitor contributed to exacerbation in proteinuria, but no significant difference in a decrease of eGFR was observed.
Toward Adaptive Joint Node and Link Mapping Algorithms for Embedding Virtual Networks: A Conciliation Strategy

Network virtualization (NV) has emerged as a momentous facilitator for a notable triumph of future networks by allowing a flexibility, cost-efficiency and on-demand services through the deployment of heterogeneous network service requests on a shared physical infrastructure. The most major challenge of NV is to efficiently and effectively map diversified virtual network requests (VNRs), comprising a set of virtual nodes connected by virtual links, onto a shared substrate network meeting various stringent resource constraints. Most of the research papers in this field have merely focused on separate virtual node mapping (VNoM) or virtual link mapping (VLiM) with scalable heuristic algorithms for simple implementations. Unfortunately, the lack of a coordination between node and link mapping stages might cause low embedding results. In this paper, we present a new approach relied upon Genetic Algorithm (GA), that jointly coordinates virtual node and link mappings where the link mapping is based on three different path searching methods. Moreover, a novel heuristic conciliation mechanism is proposed to deal with a set of possibly infeasible link mappings while exploring embedding solutions within the operations of GA algorithm. Extensive performance results indicate that our proposed GA-based algorithms outperform state-of-the-art virtual mapping algorithms in all evaluation metrics we adopt.
Learn to Play, Play to Learn: Designing a Digital Board Game for a Law of Torts Class

This paper documents the learning journey and outcomes of designing an electronic roll-and-move board game, The Grade Inflation Game (GIGAME). It was developed by the Centre for Teaching Excellence (CTE) for classes conducted in the School of Law at the Singapore Management University (SMU). It investigates the effectiveness of using an electronic board game in teaching and learning. Based on the survey on 64 student-players of the game, the study revealed that the game enabled students to consolidate objective skills and knowledge while having 'serious' fun.
Can Standardizing Applicant High School and Neighborhood Information Help to Diversify Selective Colleges?

Many selective colleges consider the backgrounds of applicants to improve equity in admissions. However, this information is usually not available for all applicants. We examine whether the chances of admission and enrollment changed after 43 colleges gained access to a new tool that standardizes information on educational disadvantage for all applicants. Applicants from the most challenging school and neighborhood backgrounds experienced a 5-percentage point increase in the probability of admission in the year of adoption relative to similar applicants in the previous year. The tool did not alter the probability of enrollment as a function of applicant challenge level in the full sample, but positive changes are concentrated among applicants to institutions that used the tool to allocate financial aid.
THE ROLE OF SMALL FARMS IN CREATING SOCIAL CAPITAL IN RURAL AREAS – CASE STUDIES FROM LITHUANIA, POLAND AND ROMANIA

Social capital is one of the most important factors influencing the development level. In the case of rural areas, it is important to determine its level in farms, because they are key factors influencing the development of these areas. The literature review shows that there are not many studies devoted to this subject from the perspective of smallholders in new member states of the European Union. Therefore, the objective of this article is to determine the social capital of small farmers in three selected countries of the European Union, i.e., Poland, Romania and Lithuania. Our study fills a research gap and provides a basis for further research. To achieve the aim of the study, the method of direct interviews with the owners of small farms in Poland, Lithuania, and Romania (20 farms from each country) was used. The interviews were conducted in 2020. The research shows that the participation of small farmers from Poland, Romania and Lithuania in social activities is low and at a comparable level in each of these countries. The main reason for the low participation of farmers in social activities is the workload. However, the social aspect of the impact of small farms cannot only be narrowed down to direct involvement in social life. It manifests itself primarily in the social functions performed by these farms, that is, cultivating customs, building social ties, reducing depopulation and increasing the vitality of the countryside.
Slime-Groove Drag Reduction Characteristics and Mechanism of Marine Biomimetic Surface

With the development of science and technology, energy consumption and demand continue to increase, and energy conservation and consumption reduction have become the primary issue facing the world. Improving the energy efficiency of ships not only helps reduce fuel consumption but also reduces carbon dioxide emissions, which is an important guarantee for the green development of the ocean and the maintenance of ecological balance. Through natural selection and adaptation to the environment after evolution, the body surface of organisms generates a variety of ways to resist adhesion and resistance of Marine organisms. Through the study of fish organisms, it is found that the body surface of general fish has mucus, which can effectively reduce the friction resistance of the body surface of fish subjected to seawater. In addition, the grooves on the body surface also help to reduce the resistance between swimming organisms and fluids. Based on the principle of bionics, the drag reduction characteristics and mechanism of fish surface mucus were analyzed. The drag reduction mechanism of bionic nonsmooth surface is analyzed from the aspect of body surface structure. On the basis of the two approaches, the characteristics and mechanism of slime and groove codrag reduction on the surface of Marine organisms were discussed in depth, so as to obtain a better new drag reduction method and provide reference for subsequent related research.
Clickbait for climate change: comparing emotions in headlines and full-texts and their engagement

ABSTRACT Anthropogenic climate change remains a polarizing topic. As most social media users share articles solely relying on the headline, this raises the question of how emerging digital media reporting – especially in the headlines – shapes the perception of climate change issues and engages audiences. Guided by the dual-systems emotion model and discrete-emotions model, this study compared emotion words used in headlines versus full text among climate change articles – and their social media engagement, using computational methods. Findings suggested that climate change support headlines were more likely to use fear words while denial headlines were significantly more likely to contain emotion words, negatively-valenced words, as well as words for anger, anticipation, disgust, sadness, and surprise. Regarding the full text, denial articles were more likely to contain emotion words, negatively-valenced words, and many discrete emotions related words than support articles. A denial article’s engagement was predicted by the total number of emotion words contained in its headline, whereas a support article’s engagement was predicted by negatively-valenced words and words for fear used in its headline. Emotions contained in the full text did not predict support and -denial articles’ engagement. Findings provide practical guidance on how to increase the engagement level of climate change articles.
Use of Critical Ethnography to Study the PMTCT Program

Background: Despite the efforts at establishing Prevention of Mother to Child Transmission (PMTCT) programs in Rwanda, there are still children who are becoming infected through mother-to-child transmission of HIV. The purpose of our research study was to explore the experiences of HIV positive women using PMTCT program to prevent HIV transmission in Rwanda. Methodology: In this study, a qualitative approach using a critical ethnographic design was used to answer to our research question and with the aim to discover the meaning, process, and context of the studied phenomenon. In this paper, we discussed ethnography, critical ethnography, and its related philosophical assumptions as well as illustrating the rational for the use of critical ethnography to study the PMTCT program. Critical ethnography ultimately will contribute to raising awareness on how we can prevent new infections among children born from HIV positive mothers who are using the PMTCT program. The findings suggested a wide range of challenging factors that are shaped by social, political, cultural, economic, ethnic, and gender values, and that directly and indirectly affect the uptake of the PMTCT program. While using the critical realist ontology, we discovered multiple truths about the challenging factors for HIV+ mothers experience to uptake the PMTCT program. We triangulated their experiences with the findings gathered from healthcare providers, PMTCT leaders and policy-makers, field observation, and document analysis. No previous studies on this phenomenon used a critical lens to explore the reality behind a wide range of experiences of mothers using the PMTCT program to prevent HIV