Miracle-dz/UniFAR-FTUs huggingface dataset:
Global declines in coral reef calcium carbonate production under ocean acidification and warming

Significance The growth of coral reefs is threatened by the dual stressors of ocean warming and acidification. Despite a wealth of studies assessing the impacts of climate change on individual taxa, projections of their impacts on coral reef net carbonate production are limited. By projecting impacts across 233 different locations, we demonstrate that the majority of coral reefs will be unable to maintain positive net carbonate production globally by the year 2100 under representative concentration pathways RCP4.5 and 8.5, while even under RCP2.6, coral reefs will suffer reduced accretion rates. Our results provide quantitative projections of how different climate change stressors will influence whole ecosystem carbonate production across coral reefs in all major ocean basins. Ocean warming and acidification threaten the future growth of coral reefs. This is because the calcifying coral reef taxa that construct the calcium carbonate frameworks and cement the reef together are highly sensitive to ocean warming and acidification. However, the global-scale effects of ocean warming and acidification on rates of coral reef net carbonate production remain poorly constrained despite a wealth of studies assessing their effects on the calcification of individual organisms. Here, we present global estimates of projected future changes in coral reef net carbonate production under ocean warming and acidification. We apply a meta-analysis of responses of coral reef taxa calcification and bioerosion rates to predicted changes in coral cover driven by climate change to estimate the net carbonate production rates of 183 reefs worldwide by 2050 and 2100. We forecast mean global reef net carbonate production under representative concentration pathways (RCP) 2.6, 4.5, and 8.5 will decline by 76, 149, and 156%, respectively, by 2100. While 63% of reefs are projected to continue to accrete by 2100 under RCP2.6, 94% will be eroding by 2050 under RCP8.5, and no reefs will continue to accrete at rates matching projected sea level rise under RCP4.5 or 8.5 by 2100. Projected reduced coral cover due to bleaching events predominately drives these declines rather than the direct physiological impacts of ocean warming and acidification on calcification or bioerosion. Presently degraded reefs were also more sensitive in our analysis. These findings highlight the low likelihood that the world’s coral reefs will maintain their functional roles without near-term stabilization of atmospheric CO2 emissions.
Mapping Clinical Barriers and Evidence‐Based Implementation Strategies in Low‐to‐Middle Income Countries (LMICs)

Abstract Background Low‐to‐middle income countries (LMICs) experience a high burden of disease from both non‐communicable and communicable diseases. Addressing these public health concerns requires effective implementation strategies and localization of translation of knowledge into practice. Aim To identify and categorize barriers and strategies to evidence implementation in LMICs from published evidence implementation studies. Methods A descriptive analysis of key characteristics of evidence implementation projects completed as part of a 6‐month, multi‐phase, intensive evidence‐based clinical fellowship program, conducted in LMICs and published in the JBI Database of Systematic Reviews and Implementation Reports was undertaken. Barriers were identified and categorized to the Donabedian dimensions of care (structure, process, and outcome), and strategies were mapped to the Cochrane effective practice and organization of care taxonomy. Results A total of 60 implementation projects reporting 58 evidence‐based clinical audit topics from LMICs were published between 2010 and 2018. The projects included diverse populations and were predominantly conducted in tertiary care settings. A total of 279 barriers to implementation were identified. The most frequently identified groupings of barriers were process‐related and associated predominantly with staff knowledge. A total of 565 strategies were used across all projects, with every project incorporating more than one strategy to address barriers to implementation of evidence‐based practice; most strategies were categorized as educational meetings for healthcare workers. Linking Evidence to Action Context‐specific strategies are required for successful evidence implementation in LMICs, and a number of common barriers can be addressed using locally available, low‐cost resources. Education for healthcare workers in LMICs is an effective awareness‐raising, workplace culture, and practice‐transforming strategy for evidence implementation.
Training load monitoring in team sports: a practical approach to addressing missing data

ABSTRACT Training load (TL) is a modifiable risk factor that may provide practitioners with opportunities to mitigate injury risk and increase sports performance. A regular problem encountered by practitioners, however, is the issue of missing TL data. The purpose of this study was to examine the impact of missing TL data in team sports and to offer a practical and effective method of missing value imputation (MVI) to address this. Session rating of perceived exertion (sRPE) data from 10 male professional soccer players (age, 24.8 ± 5.0 years; height, 181.2 ± 5.1 cm; mass, 78.7 ± 6.4 kg) were collected over a 32-week season. Data were randomly removed at a range of 5–50% in increments of 5% and data were imputed using 12 MVI methods. Performance was measured using the normalized root-mean-square error and mean of absolute deviations. The best-fitting MVI method across all levels of missingness was Daily Team Mean (DTMean). Not addressing missing sRPE data may lead to more inaccurate calculations of other TL metrics (e.g., acute chronic workload ratio, training monotony, training strain). The DTMean MVI method may provide practitioners with a practical and effective approach to addressing the negative consequences of missing TL data.
Visible-NIR Image Fusion Based on Top-Hat Transform

The near-infrared band of the electromagnetic spectrum has become an important tool for enhancing image quality. Commonly, outdoor color images are degraded by bad weather conditions that lead to a loss of contrast and fine details in color images since light scattering produces attenuation and smoothing effects. Despite the fact that current Visible-NIR fusion methods achieve image enhancement features, some issues like edge preservation and color oversaturation still need to be addressed. In this work, a method that performs a selective Visible-NIR fusion of the most relevant image structures through top-hat transform is proposed. The performance of the method is evaluated by quantifying the new information added to the image and the change in color. Experimental results show a high degree of detail in preserving the edges while maintaining the color of the image. Moreover, the proposed method demonstrates that the image quality improvements were not significantly affected by a change in the color space.
Identification of potential autophagy-associated lncRNA in prostate cancer

Background: Long non-coding RNAs (lncRNAs) have been linked to autophagy. It is urgent to identify and assess the hub autophagy-associated lncRNA in prostate cancer. Methods: Differentially expressed lncRNAs associated with autophagy were identified in prostate cancer based on The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) data. An autophagy-mediated competing endogenous RNA network was constructed to screen for autophagy-associated lncRNA, and the preselected lncRNAs were further validated using Gene Expression Omnibus (GEO) datasets. Furthermore, a prognostic lncRNA signature was established and assessed. Additionally, Gene Set Enrichment Analysis (GSEA) revealed the underlying molecular mechanisms. Results: Using a competing endogenous RNA network, 66 differentially expressed lncRNAs associated with autophagy were identified, and the differential expression of 7 lncRNAs were verified using the TCGA-PRAD, GSE21034, and GSE94767 datasets. Additionally, a lncRNA signature associated with autophagy, including MKNK1-AS1 and INE1, was identified as an independent indicator of survival with a C-index of 0.882. The GSEA analysis indicated that several autophagy-related signaling pathways were enriched in different risk groups. Conclusions: The lncRNAs associated with autophagy were identified, and a prediction model was developed that could be used as a prognostic predictor for prostate cancer, indicating the critical role of lncRNA in the regulation of prostate cancer autophagy regulation.
Insecticide resistance status and mechanisms in Aedes aegypti populations from Senegal

Aedes aegypti is the main epidemic vector of arboviruses in Africa. In Senegal, control activities are mainly limited to mitigation of epidemics, with limited information available for Ae. aegypti populations. A better understanding of the current Ae. aegypti susceptibility status to various insecticides and relevant resistance mechanisms involved is needed for the implementation of effective vector control strategies. The present study focuses on the detection of insecticide resistance and reveals the related mechanisms in Ae. aegypti populations from Senegal. Bioassays were performed on Ae. aegypti adults from nine Senegalese localities (Matam, Louga, Barkedji, Ziguinchor, Mbour, Fatick, Dakar, Kédougou and Touba). Mosquitoes were exposed to four classes of insecticides using the standard WHO protocols. Resistance mechanisms were investigated by genotyping for pyrethroid target site resistance mutations (V1016G, V1016I, F1534C and S989P) and measuring gene expression levels of key detoxification genes (CYP6BB2, CYP9J26, CYP9J28, CYP9J32, CYP9M6, CCEae3a and GSTD4). All collected populations were resistant to DDT and carbamates except for the ones in Matam (Northern region). Resistance to permethrin was uniformly detected in mosquitoes from all areas. Except for Barkédji and Touba, all populations were characterized by a susceptibility to 0.75% Permethrin. Susceptibility to type II pyrethroids was detected only in the Southern regions (Kédougou and Ziguinchor). All mosquito populations were susceptible to 5% Malathion, but only Kédougou and Matam mosquitoes were susceptible to 0.8% Malathion. All populations were resistant to 0.05% Pirimiphos-methyl, whereas those from Louga, Mbour and Barkédji, also exhibited resistance to 1% Fenitrothion. None of the known target site pyrethroid resistance mutations was present in the mosquito samples included in the genotyping analysis (performed in > 1500 samples). In contrast, a remarkably high (20-70-fold) overexpression of major detoxification genes was observed, suggesting that insecticide resistance is mostly mediated through metabolic mechanisms. These data provide important evidence to support dengue vector control in Senegal.
Abnormalities in emotional and motor reactions among young prehypertensive individuals: employing continuous blood pressure analysis

Supplemental Digital Content is available in the text Background: Essential hypertension is an important risk factor for cerebrovascular diseases and a major cause of premature death in industrialized societies. A predisposing factor for essential hypertension is prehypertension: blood pressure (BP) values at rest that are at the higher end of the normal range. Abnormally enhanced cardiovascular responses to motor and emotional tasks have been found as predictors of essential hypertension. Yet, knowledge regarding the BP reaction to aversive stimuli and motor reaction in prehypertension is limited. Methods: We compared the reaction to aversive and neutral stimuli inducing an emotional response (experiment 1) and to the isometric handgrip exercise (IHE) inducing a motor response (experiment 2), between prehypertensive and normotensive controls. BP reactions were measured and analyzed in a continuous fashion, in contrast to previous studies that averaged BP responses across blocks. We applied a multilevel B-spline model, a continuous analysis that enabled a better understanding of the BP time course and the detection of subtle differences between groups. Results: In both tasks, we found that prehypertensive individuals showed enhanced DBP reactions compared with normotensive controls; prehypertensive individuals exhibited lower BP responses to aversive pictures and higher BP responses to the IHE. These results are in line with previous studies with healthy or hypertensive participants and suggest abnormalities already in the prehypertensive stage. Conclusion: Considering the high frequency and health risks related to prehypertension, understanding the autonomic reactions to emotional and motor stimuli in this population is of clinical and theoretical importance and could serve as a behavioural marker to identify at-risk groups.
Colour-blind attitudes of students at the North-West University, Potchefstroom Campus

Background: Colour-blind attitudes deny racial dynamics and can lead to resistance to transformation because there seems to be no need for it. This study investigated these attitudes amongst students at a university campus engaged with implementing its transformation agenda. Aim: Using a survey, the research determined the prevalence of colour-blind attitudes amongst students and evaluated the social factors that may have contributed to these attitudes. Setting: The research was conducted amongst undergraduates at the North-West University, Potchefstroom Campus, South Africa, in 2017. Methods: A literature review was conducted around the occurrence of colour-blind attitudes amongst students and the associated social factors. Race, gender, racial prejudice, just-world beliefs and social dominance orientation in particular were found to contribute to colour-blind attitudes. A quantitative survey was then conducted amongst a quota sample of 300 students. The data collected on the social factors and colour-blind attitudes were statistically analysed. Results: The students’ colour-blind attitudes were found to be moderate. The social factor of race correlated significantly with colour-blind attitudes, but gender did not. Racial prejudice presented a medium correlation with colour-blind attitudes but just-world beliefs and social dominance orientation only a small correlation. Conclusion: Colour-blind attitudes at the campus were related to race and racial prejudice. This demonstrates the need for students to be offered room to openly discuss and engage with race and issues concerning race. The difference between the findings in this study and extant literature indicates a necessity for further qualitative research to gain a more comprehensive understanding about racial issues amongst students at the North-West University, Potchefstroom Campus.
Functional interactions between rsks-1 / S 6 K , glp-1 / Notch , and regulators of 1 Caenorhabditis elegans fertility and germline stem cell maintenance 2 3

Functional interactions between rsks-1/S6K, glp-1/Notch, and regulators of 1 Caenorhabditis elegans fertility and germline stem cell maintenance 2 3 Debasmita Roy, David J. Kahler, Chi Yun, E. Jane Albert Hubbard* 4 5 Skirball Institute of Biomolecular Medicine, Departments of Cell Biology and Pathology, 6 New York University School of Medicine, New York, NY 10016, USA 7 8 NYU High Throughput Biology Laboratory, NYU Langone Health, New York, NY 9 10016, USA 10 11 Corresponding author 12 E-mail: jane.hubbard@med.nyu. edu (EJAH) 13 14 15 Running title 16 Notch and S6K genetic interactions 17
Cyclic preservation of Fe/Mn-redox fronts in sediments of an oligotrophic, ventilated deep-water lake (Lago Fagnano, Tierra del Fuego)

This paper is a non-peer reviewed preprint submitted to EarthArXiv. This manuscript has been submitted for publication in SEDIMENTOLOGY. Please note that, subsequent versions of this manuscript may have slightly different content. If accepted, the final version of this manuscript will be available via the ‘Peer-reviewed Publication DOI’ link on the right-hand side of this webpage. Please feel free to contact the corresponding author; we welcome feedback.
Response Surface Optimization Extraction Process of Tea Saponin from Tea Seed Cake(Camellia oleifera)

Single-factor and response surface analysis methodology were used to optimize the extraction process parameters of tea saponin from tea seed cake(Camellia oleifera). The optimum conditions of the single factor experiment were following: ethanol volume fraction of 70%,extraction time of 4 h,extraction temperature of 70 ℃,and solvent-to-feed ratio of 4:1,respectively.Based on single-factor experiments,three independent variables,ethanol volume fraction,extraction time and solvent-to-feed ratio,were selected as affecting factors during extraction.Response surface analysis method was applied to determine the effect of central composite experiment design.The optimum extraction conditions were found to be extracted with solvent-to-feed ratio 1:4.5 at 70 ℃ using 72% ethanol for 3.8 h.The predicted extraction yield of tea saponin was 14.54%,while the actual extraction yield of tea saponin was 14.22%,with relative error of 2.20%.
Improving atmospheric path attenuation estimates for radio propagation applications by microwave radiometric profiling

Abstract. Ground-based microwave radiometer (MWR) observations of downwelling brightness temperature ( TB ) are commonly used to estimate atmospheric attenuation at relative transparent channels for radio propagation and telecommunication purposes. The atmospheric attenuation is derived from TB by inverting the radiative transfer equation with a priori knowledge of the mean radiating temperature ( TMR ). TMR is usually estimated by either time-variant site climatology (e.g., monthly average computed from atmospheric thermodynamical profiles) or condition-variant estimation from surface meteorological sensors. However, information on TMR may also be extracted directly from MWR measurements at channels other than those used to estimate atmospheric attenuation. This paper proposes a novel approach to estimate TMR in clear and cloudy sky from independent MWR profiler measurements. A linear regression algorithm is trained with a simulated dataset obtained by processing 1 year of radiosonde observations of atmospheric thermodynamic profiles. The algorithm is trained to estimate TMR at K- and V–W-band frequencies (22–31 and 72–82 GHz , respectively) from independent MWR observations at the V band (54–58 GHz ). The retrieval coefficients are then applied to a 1-year dataset of real V-band observations, and the estimated TMR at the K and V–W band is compared with estimates from nearly colocated and simultaneous radiosondes. The proposed method provides TMR estimates in better agreement with radiosondes than a traditional method, with 32 %–38 % improvement depending on frequency. This maps into an expected improvement in atmospheric attenuation of 10 %–20 % for K-band channels and ∼30 % for V–W-band channels.
Vertical Education-Occupation Mismatch and Wage Inequality by Race/Ethnicity and Nativity among Highly Educated US Workers

Abstract:Despite remarkable educational gains of minorities, ethnoracial wage inequality persists and has even expanded among highly educated workers. Conventional explanations for this inequality are primarily derived from comparing workers across different educational levels and are less salient for understanding inequalities within the highly educated workforce. This study examines a previously overlooked source of ethnoracial inequality among highly educated workers: vertical mismatch between workers' educational level and the education requirements for their occupation. Using a longitudinal sample of college graduates from the Survey of Income and Program Participation, we find that vertical mismatch accounts for a large part of racial/ethnic and nativity wage inequality. Specifically, highly educated minorities (especially blacks and Hispanics) and immigrants (especially those holding a foreign degree) are disproportionately channeled into mismatched jobs and subsequently consigned to such positions. Also, highly educated Hispanics and Asians, as well as foreign-educated immigrants, face greater wage penalties of vertical mismatch. The findings offer new insights into a key source of ethnoracial and nativity stratification.
Emergence of strong tunable linear Rashba spin-orbit coupling in two-dimensional hole gases in semiconductor quantum wells

Two-dimensional hole gases (2DHGs) in semiconductor quantum wells are promising platforms for spintronics and quantum computation, but suffer from the lack of the $\mathbf{k}$-linear term in the Rashba spin-orbit coupling (SOC), which is essential for spin manipulations without magnetism. The Rashba SOC in 2DHGs is commonly believed to be a $\mathbf{k}$-cubic term as the lowest order. Here, contrary to conventional wisdom, we taking Ge/Si system as an example uncover a strong and tunable $\mathbf{k}$-linear Rashba SOC in 2DHGs of semiconductor quantum wells (QWs) by performing atomistic pseudopotential calculations in conjunction with theoretical analysis based on the effective model Hamiltonian approach. We illustrate that this emergent $\mathbf{k}$-linear Rashba SOC is a first-order direct Rashba effect, originating from a combination of heavy-hole-light-hole mixing and direct dipolar coupling to the external electric field. The enhanced interband mixing renders [110]-oriented Ge/Si QWs a much stronger linear Rashba SOC than [001]-oriented counterpart with the maximal strength exceeding 120 meV\AA{}, comparable to the highest values reported in two-dimensional electron gases made by narrow band-gap III-V semiconductors, which suffers from short spin lifetime due to the presence of nuclear spin. These findings confirm Ge-based 2DHGs to be an excellent platform for large-scale quantum computation.
Sensitivity analysis‐based optimal PMU placement for fault observability

This paper proposes an algorithm that ﬁnds the optimal sets of phasor measurement units (PMUs) to achieve a fault observable system, while it addresses the multi-estimation issue. The optimal PMU placement (OPP) problem here is to ﬁnd a set of PMU locations with minimum number of members that enables fault observability in a system and satisﬁes a deﬁned minimum sensitivity requirement in measurements. The proposed algorithm gen-eralizes the impedance method in fault analysis and optimizes PMU utilization to maintain a required minimum sensitivity in each set of measurements, given the required fault detection accuracy. Also, the set of measurements is unique and distinctive for each fault scenario, preventing multi-estimation. A fault is referred to as a set of affected faulty line, fault location, and fault impedance. A sensitivity analysis is performed and sensitivity indices are derived to evaluate measurements quality to detect changes in fault line, location, or resistance. The algorithm is executed on IEEE 7-bus, 14-bus, and 30-bus test systems. Subsequently, artiﬁcial neural networks (ANN) are employed to build fault locators through ofﬂine training. ANN use an optimal PMU set obtained by the proposed algorithm to uniquely map between the corresponding measurements set and the faults.