Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative E ﬃ cacy of First-Line Immune-Based Combination Therapies in Metastatic Renal Cell Carcinoma: A Systematic Review and Network Meta-Analysis

: Three drug combinations, ipilimumab-nivolumab (Ipi-Nivo), pembrolizumab-axitinib (Pembro-Axi), and avelumab-axitinib (Ave-Axi), have received regulatory approval in the USA and Europe for the treatment of metastatic renal cell carcinoma with clear cell component (mRCC). However, no head-to-head comparison data are available to identify the best option. Therefore, we aimed to compare these new treatments in a ﬁrst-line setting. We conducted a systematic search in PubMed, the Cochrane Library, and clinicaltrials.gov for any randomized controlled trials of treatment-naïve patients with mRCC, from January 2015 to October 2019. The process was performed according to PRISMA guidelines. We performed a Bayesian network meta-analysis with two di ﬀ erent approaches, a contrast-based model comparing HRs and ORs between studies and arm-based using parametric modeling. The outcomes for the analysis were overall survival, progression-free survival (PFS), and objective response rate. Our search identiﬁed 3 published phase 3 randomized clinical trials (2835 patients). In the contrast-based model, Ave-Axi (SUCRA = 83%) and Pembro-Axi (SUCRA = 80%) exhibited the best ranking probabilities for PFS. For overall survival (OS), Pembro-Axi (SUCRA = 96%) was the most preferable option against Ave-Axi and Ipi-Nivo. Objective response rate analysis showed Ave-Axi as the best (SUCRA: 94%) and Pembro-Axi as the second best option. In the parametric models, the risk of progression was comparable for Ave-Axi and Ipi-Nivo, whereas Pembro-Axi exhibited a lower risk during the ﬁrst 6 months of treatment and a higher risk afterwards. Furthermore, Pembro-Axi exhibited a net advantage in terms of OS over the two other regimens, while Ave-Axi was the least preferable option. Overall evidence suggests that pembrolizumab plus axitinib seems to have a slight advantage over the other two combinations.
Comparing Sentence-Based and Word-Based Semantic Space Representations to Brain Responses

Computational semantic space models have now been applied to sentences, but it is unclear whether they capture how the human brain represents sentences. Using fMRI we scanned adult readers reading expository texts and compared their brain responses to 3 semantic space vectors that modeled sentences either as combinations of words or as single units. We observe that computational semantic representations that are specifically designed to capture sentence content share information content with brain responses.
Agonist-, Antagonist-, and Benzodiazepine-Induced Structural Changes in the (cid:1) 1 Met 113 -Leu 132 Region of the GABA A Receptor

The structural basis by which agonists, antagonists, and allo- steric modulators exert their distinct actions on ligand-gated ion channels is poorly understood. We used the substituted cysteine accessibility method to probe the structure of the GABA A receptor in the presence of ligands that elicit different pharmacological effects. Residues in the (cid:1) 1 Met 113 -Leu 132 region of the GABA binding site were individually mutated to cysteine and expressed with wild-type (cid:2) 2 and (cid:3) 2 subunits in Xenopus laevis oocytes. Using electrophysiology, we deter- mined the rates of reaction of N -biotinaminoethyl methanethiosulfonate (MTSEA-biotin) with the introduced cysteines in the resting (unliganded) state and compared them with rates determined in the presence of GABA (agonist), 4-[6-imino-3-(4- methoxyphenyl)pyridazin-1-yl]butanoic acid hydrobromide (SR-95531; antagonist), pentobarbital (allosteric modulator), and flurazepam (allosteric modulator). (cid:1) 1 N115C, (cid:1) 1 L117C, (cid:1) 1 T129C, and (cid:1) 1 R131C are predicted to line the GABA binding pocket because MTSEA-biotin modification of these residues decreased the amount of current elicited by GABA, and the rates/extents of modification were decreased both by GABA and SR-95531. Reaction rates of some substituted cysteines were different depending on the ligand, indicating that barbitu-rate- and GABA-induced channel gating,
The quantitative architecture of centromeric chromatin access benefits you. Your story matters

The centromere, responsible for chromosome segregation during mitosis, is epigenetically defined by CENP-A containing chromatin. The amount of centromeric CENP-A has direct implications for both the architecture and epigenetic inheritance of centromeres. Using complementary strategies, we determined that typical human centromeres contain ∼ 400 molecules of CENP-A, which is controlled by a mass-action mechanism. This number, despite representing only ∼ 4% of all centromeric nucleosomes, forms a ∼ 50-fold enrichment to the overall genome. In addition, although pre-assembled CENP-A is randomly segregated during cell division, this amount of CENP-A is sufficient to prevent stochastic loss of centromere function and identity. Finally, we produced a statistical map of CENP-A occupancy at a human neocentromere and identified nucleosome positions that feature CENP-A in a majority of cells. In summary, we present a quantitative view of the centromere that provides a mechanistic framework for both robust epigenetic inheritance of centromeres and the paucity of neocentromere formation. for the the of
The insensitive ruins it all

A group’s collective intelligence reﬂects its capacity to perform well across a variety of cognitive tasks and it transcends the individual intelligence of its members. Previous research shows that group members’ social sensitivity is a potential antecedent of collective intelligence, yet it is still unclear whether individual or group-level indices are responsible for the positive association between social sensitivity and collective intelligence. In a comprehensive manner, we test the extent to which both compositional (lowest and highest individual score) and compilational aspects (emergent group level) of social sensitivity are associated with collective intelligence. This study has implications for research that explores groups as information processors, and for group design as it indicates how a group should be composed with respect to social sensitivity if the group is to reach high levels of collective intelligence. Our empirical results indicate that collectively intelligent groups are those in which the least socially sensitive group member has a rather high score on social sensitivity. Differently stated, (socially sensitive) group members cannot compensate for the lack of social sensitivity of the other group members.
Dynamical Adaptation in Photoreceptors The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters

Adaptation is at the heart of sensation and nowhere is it more salient than in early visual processing. Light adaptation in photoreceptors is doubly dynamical: it depends upon the temporal structure of the input and it affects the temporal structure of the response. We introduce a non-linear dynamical adaptation model of photoreceptors. It is simple enough that it can be solved exactly and simulated with ease; analytical and numerical approaches combined provide both intuition on the behavior of dynamical adaptation and quantitative results to be compared with data. Yet the model is rich enough to capture intricate phenomenology. First, we show that it reproduces the known phenomenology of light response and short-term adaptation. Second, we present new recordings and demonstrate that the model reproduces cone response with great precision. Third, we derive a number of predictions on the response of photoreceptors to sophisticated stimuli such as periodic inputs, various forms of flickering inputs, and natural inputs. In particular, we demonstrate that photoreceptors undergo rapid adaptation of response gain and time scale, over , 300 ms—i. e. , over the time scale of the response itself—and we confirm this prediction with data. For natural inputs, this fast adaptation can modulate the response gain more than tenfold and is hence physiologically relevant.
ANALYSIS OF ANTIOXIDANT PROPERTIES (DPPH, OH, AND NO) OF COOKED PREMIUM ALASKA POLLOCK ROE WITH NATURAL FERMENTED SEASONING

The distilled water and ethanol extracts raw materials (Alaska pollock roe), Gochujang pollock roe, and fermented seasoning pollock roe were evaluated for their antioxidant activities. The total antioxidant property was estimated by 2, 2- diphenyl - 1- picrylhydroazyl (DPPH), hydroxyl radical (OH) reducing activity, and nitric oxide radical (NO). The overall values of fermented seasoning pollock roe except Gochujang pollock roe at 1.0 mg/ml was showed the highest inhibition activity of DPPH among three treated groups. The all values of DPPH scavenging activity of ethanol extract for pollock roe were higher than those of distilled water extract for pollock roe. OH scavenging activity of distilled water extract with Gochujang pollock roe evaluated was 73.3% at 1.0 mg/ml and that of ethanol extract was 77.8% at same concentration. OH scavenging activity of distilled water extract with fermented seasoning pollock roe evaluated was 74.9% at 1.0 mg/ml and that of ethanol extract was 78.6% at same concentration. NO scavenging activity of distilled water extract of Gochujang pollock roe was evaluated 58.3% at 1.0 mg/ml and that of ethanol extract was 68.3% at same concentration. NO scavenging activity of distilled water extracts of fermented seasoning pollock roe was evaluated 62.4% at 1.0 mg/ml and that of ethanol extract was 69.4% at same concentration. Higher DPPH, OH, and NO scavenging abilities were shown in Gochujang and fermented seasoning pollock roe than instant pollock roe.
Numerical Solution of Singular Integral Equations.

Abstract : One encounters difficulties in the solution of integral equations, namely, the occurrence of singularities in the kernel, and the occurence of unknown-type singularities in the solution of the integral equation. Standard methods of approximation based on exactness for polynomials up to a certain degree are very poor, and frequently fail for functions having such singularities. The purpose of this contract was to develop methods for solving integral equations which work well in spite of the presence of singularities. This goal has been accomplished, in that the new approximation methods which were developed do work well in the presence of singularities. (Author)
DigitalCommons@University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Meta Analysis on Mosque Economics Meta Analysis on Mosque Economics

This study tries to review the research around the Mosques economy on reputable journal. It uses descriptive statistical analysis based on selected 103 article publications or papers related to the Mosques economy, with national and international journal. The entire sample journal publications have published for twelve years from 2009 to 2020. The Results show that mosques economy research study case is still dominated by Indonesia (76 studies), following by Malaysia (14 studies) and Bangladesh (3 studies). In addition, the average time of journal publication, between 9 and 10 years. There are at least 43 journals that published mosques economy articles with the other and zakat for focus study. Furthermore, the comparison of qualitative research (76%) is still more than the quantitative approach (14%). This study found that mosques play an essential role in building Islamic socio-economic and political civilization as a basis for supporting the development of Islamic social funds, the halal industry and BMT microfinance.
Long term interannual monitoring of open-ocean 1 deep convection using altimetry and ocean color 2 multi-sensors satellite data : case study of the 3 Northwestern Mediterranean Sea.

Deep convection occurs in a few regions of the world ocean 5 submitted to strong atmospheric buoyancy loss and is at the origin of the 6 formation of deep water masses (DWF) of the ocean circulation. It shows 7 a strong interannual variability, and could drastically weaken under the in- 8 ﬂuence of climate change. In this study, a method is proposed to monitor quan- titatively deep convection using multi-sensors altimetry and ocean color satel- lite data, and applied and evaluated for the well observed DWF case study 11 of Northwestern Mediterranean Sea (NWMS). that, a coupled hydrodynamical- biogeochemical numerical simulation is used to examine the signature of DWF 13 on sea level anomaly (SLA) and surface chlorophyll concentration in the NWMS. 14 Statistically signiﬁcant correlations between DWF annual indicators and the 15 areas of low surface chlorophyll concentration and low SLA in winter are ob- 16 tained, and linear relationships between indicators and areas are established. 17 They are applied to areas computed from altimetry 27-year and ocean color 18 19-year satellite datasets, producing the ﬁrst long time series from observa- 19 tions of NWMS DWF indicators covering the last 2 decades. Model biases 20 and smoothing eﬀect induced by the low resolution of gridded altimetry data 21 are partly taken into account by using corrective methods. Comparison with 22 winter atmospheric heat ﬂux and previous modeled and observed estimates 23 of DWF indicators suggests that the DWF indicators time series obtained 24 from standard ocean color products and altimetry capture realistically the 25 interannual variability of the NWMS DWF. The interest but also weaknesses 26 and uncertainties of the method are ﬁnally discussed. 27
Effects of Liraglutide on (cid:1) -Cell-Specific Glucokinase-Deficient Neonatal Mice

The glucagon-like peptide-1 receptor agonist liraglutide is used to treat diabetes. A hallmark of liraglutide is the glucose-dependent facilitation of insulin secretion from pancreatic (cid:1) -cells. In (cid:1) -cells,theglycolyticenzymeglucokinaseplaysapivotalroleasaglucosesensor.However,therole ofglucokinaseintheglucose-dependentactionofliraglutideremainsunknown.Wefirstexamined the effects of liraglutide on glucokinase haploinsufficient ( Gck (cid:1) / (cid:2) ) mice. Single administration of liraglutide significantly improved glucose tolerance in Gck (cid:1) / (cid:2) mice without increase of insulin secretion. We also assessed the effects of liraglutide on the survival rates, metabolic parameters, and histology of liver or pancreas of (cid:1) -cell-specific glucokinase-deficient ( Gck (cid:2) / (cid:2) ) newborn mice. Liraglutide reduced the blood glucose levels in Gck (cid:2) / (cid:2) neonates but failed to prolong survival, and mice died within 1 wk. Furthermore, liraglutide did not improve glucose-induced insulin secretioninisolatedisletsfrom Gck (cid:2) / (cid:2) neonates.Liraglutideinitiallypreventedincreasesinalanine aminotransferase, free fatty acids, and triglycerides in Gck (cid:2) / (cid:2) neonates but not at 4 d after birth. Liraglutide transiently prevented liver steatosis, with reduced triglyceride contents and elevated glycogen contents in Gck (cid:2) / (cid:2) neonate livers at 2 d after birth. Liraglutide also protected against reductions in (cid:1) -cells in Gck (cid:2) / (cid:2) neonates at 4 d after birth. Taken together, (cid:1) -cell glucokinase appears to be essential for liraglutide-mediated insulin secretion, but liraglutide may improve glycemiccontrol,steatosis,and (cid:1) -celldeathinaglucokinase-independentfashion. ( Endocrinology 153: 3066–3075, 2012)
Identi cation and integrative analysis of ACLY and related gene panels associated with immune microenvironment reveal prognostic signi cance in hepatocellular carcinoma

Yunfeng Xu (  xyfdomino@163.com ) Huashan Hospital Fudan University https://orcid.org/0000-0003-2930-7295 Ze Zhang Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University Da Xu Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University Li-Na Zhou CAS Key Laboratory of Seperation Science for Analytical Chemistery, Dalian Institute of Chemical Physics, Chinese Academy of Sciences Ying Zhu Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University
Overview of the Biomarkers Re ﬂ ecting In ﬂ ammation and Nutritional Determinants of Anemia (BRINDA) Project 1 – 4

Anemia remains a widespread public health problem. Although iron de ﬁ ciency is considered the leading cause of anemia globally, the cause of anemia varies considerably by country. To achieve global targets to reduce anemia, reliable estimates of the contribution of nutritional and non-nutritional causes of anemia are needed to guide interventions. In ﬂ ammation is known to affect many biomarkers used to assess micronutrient status and can thus lead to incorrect diagnosis of individuals and to overestimation or underestimation of the prevalence of de ﬁ ciency in a population. Reliable assessment of iron status is particularly needed in settings with high infectious disease burden, given the call to screen for iron de ﬁ ciency to mitigate potential adverse effects of iron supplementation. To address these information gaps, in 2012 the CDC, National Institute for Child Health and Human Development, and Global Alliance for Improved Nutrition formed a collaborative research group called Biomarkers Re ﬂ ecting In ﬂ ammation and Nutrition Determinants of Anemia (BRINDA). Data from nationally and regionally representative nutrition surveys conducted in the past 10 y that included preschool children and/or women of childbearing age were pooled. Of 25 data sets considered for inclusion, 17 were included, representing ; 30,000 preschool children, 26,000 women of reproductive age, and 21,000 school-aged children from all 6 WHO geographic regions. This article provides an overview of the BRINDA project and describes key research questions and programmatic and research implications. Findings from this project will inform global guidelines on the assessment of anemia and micronutrient status and will guide the development of a research agenda for future longitudinal studies. Adv Nutr 2016;7:349 – 56.
A priori estimates for a generalised Monge-Amp\`ere PDE on some compact K\"ahler manifolds

We study a fully nonlinear PDE involving a linear combination of symmetric polynomials of the K\"ahler form on a K\"ahler manifold. A $C^0$ \emph{a priori} estimate is proven in general and a gradient estimate is proven in certain cases. Independently, we also provide a method-of-continuity proof via a path of K\"ahler metrics to recover the existence of solutions in some of the known cases. Known results are then applied to an analytic problem arising from Chern-Weil theory and to a special Lagrangian-type equation arising from mirror symmetry.
POLARIZED QUASIPERIODIC STRUCTURES IN PULSAR RADIO EMISSION REFLECT TEMPORAL MODULATIONS OF NON-STATIONARY PLASMA FLOW

Bright single pulses of many radio pulsars show rapid intensity fluctuations (called microstructure) when observed with time resolutions of tens of microseconds. Here, we report an analysis of Arecibo 59.5 μs resolution polarimetric observations of 11 P-band and 32 L-band pulsars with periods ranging from 150 ms to 3.7 s. These higher-frequency observations form the most reliable basis for detailed microstructure studies. Close inspection of individual pulses reveals that most pulses exhibit quasi-periodicities with a well-defined periodicity timescale ( P μ ). While we find some pulses with deeply modulating microstructure, most pulses show low-amplitude modulations on top of broad smooth subpulse features, thereby making it difficult to infer periodicities. We have developed a method for such low-amplitude fluctuations wherein a smooth subpulse envelope is subtracted from each de-noised subpulse; the fluctuating portion of each subpulse is then used to estimate P μ via autocorrelation analysis. We find that the microstructure timescale P μ is common across all Stokes parameters of polarized pulsar signals. Moreover, no clear signature of curvature radiation in vacuum in highly resolved microstructures was found. Our analysis further shows strong correlation between P μ and the pulsar period P. We discuss implications of this result in terms of a coherent radiation model wherein radio emission arises due to formation and acceleration of electron–positron pairs in an inner vacuum gap over magnetic polar cap, and a subpulse corresponds to a series of non-stationary sparking discharges. We argue that in this model, P μ reflects the temporal modulation of non-stationary plasma flow.
Image Quality estimation of Images using Full Reference and No Reference Method

: Image quality review is one of the challenging fields of digital image processing system. Measurement of visual quality is of elementary weight for abundant image and video processing applications, where the goal of quality assessment (QA) algorithms is to automatically judge the quality of images or videos in agreement with human quality judgments. The costing of image quality based on single strategy Human Vision System (HVS) may not very enough. We need some more dimensions. Full Reference method. Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Structural Content (SC)) may contribute to calculate efficient result to image quality measurements. However, it is not always possible to get the reference images to assess image quality. Human observers can easily recognize the distortion and degradation of image without referring to the original image. Therefore, there is absolutely necessary to develop objective quality assessment that correlates well with human perception without the reference image (No-Reference).
Spatial, Temporal, and Spatiotemporal Variation of Malaria Incidence and Risk Factors in West Gojjam Zone From 1 July 2013- 30 June 2018, Northwest Ethiopia, 2019. CURRENT

Background: Malaria is a life-threatening acute febrile illness which is affecting the lives of millions globally. Its distribution is characterized by spatial, temporal, and spatiotemporal heterogeneity making detection of the space-time distribution and mapping high-risk areas useful to effectively targeting hot spots of malaria for intervention. Methods : Time series cross sectional study was conducted using data obtained from weekly malaria surveillance reports stored in the Amhara Public Health Institute from 1 July 2013-30 June 2018. Climatic variables were obtained from West Amhara Meteorological Agency. All districts were included and geo-coded and the spatial data was created in ArcGIS10.2. 2 software. Global and local spatial autocorrelation were used to test the hypothesis and to detect hot spots respectively. The Poisson model was fitted to determine the purely spatial, temporal, and space-time clusters using SaTScan™9.6 software. Spearman correlation, bivariate, and multivariable negative binomial regressions were used to analyze the relation of the climatic factors to count of malaria incidence. Result: The study revealed spatial, temporal, and spatiotemporal heterogeneity of malaria incidence. Jabitenan, Quarit, Sekela, Bure, and Wonberma were high rate spatial cluster of malaria incidence hierarchically. Spatiotemporal clusters were detected. A temporal scan statistic identified one risk period from 1 July 2013 to 30 June 2015. Monthly average temperature was positively but monthly average rainfall and monthly average relative humidity were negatively correlated to count of malaria incidence at all lag-months. The adjusted incidence rate ratio showed that monthly average temperature and monthly average rainfall were independent predictors for malaria incidence at all lag-months. Monthly average relative humidity was significant at 2 months lag. Conclusion: Malaria incidence had shown spatial, temporal, spatiotemporal variability in West Gojjam zone. Mean monthly temperature and rainfall were directly and inversely associated to count of malaria incidence respectively. Considering these space-time variations and risk factors (temperature and rainfall) would be useful for the prevention and control and ultimately achieve elimination.