Miracle-dz/UniFAR-FTUs huggingface dataset:
Inclusive SUSY Searches Using Missing Energy Plus Multijets in pp Collisions at sqrt {s}=14 TeV with CMS

An inclusive analysis strategy for SUSY searches in pp collisions at p s = 14 TeV with the CMS detector is discussed. The missing transverse energy plus multijets canonical signature is used. Emphasis is put in methods to normalize the backgrounds using the data and in understanding the experimental systematic uncertainties. A 5ae excess can be observed with O(pb i1 ) at a particular low mass SUSY point. The 5ae discovery reach contours in the mSUGRA parameter space for 1 and 10 fb i1 are obtained.
Using Bayesian priors to improve power of whole brain voxel- and connexelwise inferences

signal noise Most neuroimaging studies are underpowered or in other words have small Signal to Noise Ratio (SNR). This is especially true for full brain connexelwise [1] analysis (see Fig. 1). A common way of increasing SNR is to restrict the search area with a Region of Interest (ROI). ROI definitions have traditionally been binary discarding uncertainty; potentially missing strong activations outside of the ROI. Here we propose a probabilistic approach to ROI analysis pROI.
Tensile deformation behaviours of polycrystalline Cu80Ni20 alloy: insights from molecular dynamics simulations

ABSTRACT The polycrystalline Cu80Ni20 sample was simulated by molecular dynamics (MD) approach. This sample consists of the fcc and hcp crystals alternated with disordered (d-) structures. Under the uniaxial tensile test, the sample exhibits elastic and plastic behaviours. The fcc and hcp crystals disintegrate into the d-structures with increasing strain but small clusters of fcc and hcp crystals still exist at the large strain. A very small number of d-atoms recrystallises into the fcc and hcp crystals during the tensile deformation. The distances between atoms are stretched gradually during the tensile loading. The growth and coalescence of big simplexes with R S ≥ 2.0 Å occur only in the d-structures. The shear band (SB) is formed during the tensile deformation. The big simplexes coalesce and propagate in the SB, causing the crack propagation.
CFHTLenS: weak lensing constraints on the ellipticity of galaxy-scale matter haloes and the galaxy-halo misalignment

We present weak lensing constraints on the ellipticity of galaxy-scale matter haloes and the galaxy-halo misalignment. Using data from the Canada-France-Hawaii Telescope Lensing Survey (CFHTLenS), we measure the weighted-average ratio of the aligned projected ellipticity components of galaxy matter haloes and their embedded galaxies, $f_\mathrm{h}$, split by galaxy type. We then compare our observations to measurements taken from the Millennium Simulation, assuming different models of galaxy-halo misalignment. Using the Millennium Simulation we verify that the statistical estimator used removes contamination from cosmic shear. We also detect an additional signal in the simulation, which we interpret as the impact of intrinsic shape-shear alignments between the lenses and their large-scale structure environment. These alignments are likely to have caused some of the previous observational constraints on $f_\mathrm{h}$ to be biased high. From CFHTLenS we find $f_\mathrm{h}=-0.04 \pm 0.25$ for early-type galaxies, which is consistent with current models for the galaxy-halo misalignment predicting $f_\mathrm{h}\simeq 0.20$. For late-type galaxies we measure $f_\mathrm{h}=0. 69_{-0.36}^{+0.37}$ from CFHTLenS. This can be compared to the simulated results which yield $f_\mathrm{h}\simeq 0.02$ for misaligned late-type models.
Spatial and Spatiotemporal Matching Framework for Causal Inference (Short Paper)

Matching is a procedure aimed at reducing the impact of observational data bias in causal analysis. Designing matching methods for spatial data reflecting static spatial or dynamic spatio-temporal processes is complex because of the effects of spatial dependence and spatial heterogeneity. Both may be compounded with temporal lag in the dependency effects on the study units. Current matching techniques based on similarity indexes and pairing strategies need to be extended with optimal spatial matching procedures. Here, we propose a decision framework to support analysts through the choice of existing matching methods and anticipate the development of specialized matching methods for spatial data. This framework thus enables to identify knowledge gaps. 2012
Are Psychological Variables Relevant to Evaluating Geoinformatics Applications? The Case of Landmarks (Vision Paper)

Interdisciplinary integration of spatial cognition and spatial computation promises to create better spatial technology based on findings from cognitive psychology experiments. Using the example of psychological studies and computational modelling of landmarks, this paper argues that core evaluation criteria of both disciplines are not well aligned with the goal of evaluating landmark-enhanced navigation support systems that support users in everyday wayfinding. The paper raises two points. First, it reviews evaluation criteria used in the interdisciplinary field of landmark research. It is argued that when to consider the role of landmark-enhanced navigation support systems in everyday life of their users, different evaluation criteria are needed. If strictly-psychological or strictly-computational criteria continue being prioritised by the community, we risk undervaluing significant technological contributions. Second, it proposes one such potential criterion: testing whether the cognitive task has changed due to equipping users with the new technology. This goal might be achieved at the expense of criteria typical to strictly-psychological studies (such as spatial memory of landmarks along the travelled route) or strictly-computational studies (such as efficiency and accuracy of a landmark-selection algorithm). Thus, promoting and implementing alternative evaluation criteria comes with methodological risks. In order to mitigate them we propose a process based on pre-registration of “postdiction” studies and hope to stimulate a further debate on a consensus-based approach in the community.
Response of soybean plants [ Glycine max (L.) Merr.] to some bio, organic and mineral fertilizers.

The present investigation was carried out at the Agricultural Experimental Station, Faculty of Agriculture, Cairo University, Giza, Egypt during the two growing seasons of 2019 and 2020. This work was designed to study the effect of some fertilizers as single or combined treatments on morphological, seed yield and chemical characters of soybean plants grown under sandy soil conditions. P and K fertilizers were used as a basal dressing for all the treatments. Results indicated that Bradyrhizobium japonicum as bio-inoculum was efficient for increasing the studied morphological characters, yield components and chemical constituents of soybean plants than those of untreated ones. Application of either compost or algae extract or mineral nitrogen as a single treatment or combined with bio-inoculum (half dose of each + bio-inoculum) mostly had considerable effects on the studied characters than those of bio-inoculum as a single treatment. The combined treatment of bio-inoculum with half dose of any fertilizer positively affected morphology, productivity and chemical constituents of soybean plant than those of each fertilizer used as a full dose. The combination of ½ mineral nitrogen + bio-inoculum was the reliable treatment than the others for increasing most of the studied morphological traits; stem length, shoot fresh weight, shoot dry weight per plant, also, yield components; number of pods, number of seeds, seed yield per plant as well as the percentages of chemical constituents in air-dried seeds N, P, K, total carbohydrates, essential oil and crude protein. The highest increase induced in stem diameter due to the treatment of ½ mineral nitrogen + bio-inoculum could be attributed mainly to the prominent increases in thickness
BovDB: a data set of stock prices of all companies in B3 from 1995 to 2020

Stock markets are responsible for the movement of vast amounts of financial resources worldwide. This market generates a high volume of transaction data, which after being analyzed are very useful for many applications. In this article, we present BovDB, a data set that was built considering a source of the Brazilian Stock Exchange (B3) with information related to the years between 1995 and 2020. We have approached the events’ impact on the stocks byapplying a cumulative factor to correct prices. The results were compared with public data from InfoMoney and BR Investing, showing that our methods, are valid and follow the market standards, based on the proposed factor. BovDBdata set can be used as a benchmark for different applications and it is available in open access for any researcher on GitHub.
How Livestock and Industrial Energy Affect Indonesia’s Surface Temperature

As part of the agricultural sector, livestock is a source of food for Indonesia and consumers abroad. Therefore, the demand for livestock commodities tends to increase, aligning with the positive growth of the population. Additionally, as part of their efforts to promote higher consumption, one of the attempts made by producers and the government as policymakers is to encourage an increase in the livestock population from time to time. On the other hand, the industrial sector that engages in processing likewise continues to expand to improve products downstream. However, the increase in the number of livestock and industries can contribute to the rise in emissions that impact environmental conditions. In this study, the environmental situation referred to is temperature variations. Moreover, this research aims to determine the impact of livestock population and energy consumption in the industrial sector on temperature changes. The method used in this research is explanatory. The data sources used for multiple linear regression analysis came from the World Bank, Indonesia’s Central Bureau of Statistics (BPS), and the Ministry of Energy and Mineral Resources. The analysis reveals that large and small livestock, as well as energy use in the industrial sector are factors that have an impact on Indonesia’s temperature. Large and small livestock cause an increase in temperature due to the large number of emissions produced by enteric fermentation and excretion. Meanwhile, the rise in energy consumption is inversely proportional to changes in temperature. This condition occurred because of the higher proportion of renewable energy in total energy consumption.
TOXICITY, GROWTH, AND ANTI-INFLAMMATORY ACTION UPON CELL CULTURES BY THE TREATED YEAST, MILMED

Dept. of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Corso della Repubblica 79, Latina, Italy Dept. of Experimental Medicine, Sapienza University of Rome, P.le A. Moro 5, Rome, Italy Dept. of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, P.le A. Moro 5, Rome, Italy Institute of Molecular Biology and Pathology, CNR, Sapienza University of Rome, Rome, Italy University of Gothenburg, Department of Psychology, Box 500, SE-45030, Gothenburg, Sweden
Appendix B . Supplemental Analysis of Data Results through Item Response Theory

Appendix B provides supplemental material to the main paper. In this Appendix, we use Item Response Theory's (IRT) ability scores instead of the raw scores of the SLCI expressed as percentages and differences as percentage points (ppts). IRT offers a more comprehensive analysis of tests, scores, and differences shown by test scores. IRT analysis is useful for comparing the differences between separate populations. In most figures in this Appendix (Figs. B-2 through B-10), we employ IRT's item difficulty scores to each item of the SLCI and provide a detailed depiction of the differences for the groups of interest. IRT requires a large populace, so we must restrict our depictions to groups represented by 1000 or more participants. Critical to this paper is whether participants' self-assessed competence relates to their demonstrated competence. Figure B-1A displays the collective self-assessments of competence for each item plotted against the collective scores the participant groups achieved on each item, and Figure B-1B displays the collective self-assessments of competence for each item plotted against the item difficulty parameter computed by IRT for that same populace.
Adaptive magnetic resonance image guided radiation for intact localized prostate cancer how to optimally test a rapidly emerging technology

Introduction Prostate cancer is a common malignancy for which radiation therapy (RT) provides an excellent management option with high rates of control and low toxicity. Historically RT has been given with CT based image guidance. Recently, magnetic resonance (MR) imaging capabilities have been successfully integrated with RT delivery platforms, presenting an appealing, yet complex, expensive, and time-consuming method of adapting and guiding RT. The precise benefits of MR guidance for localized prostate cancer are unclear. We sought to summarize optimal strategies to test the benefits of MR guidance specifically in localized prostate cancer. Methods A group of radiation oncologists, physicists, and statisticians were identified to collectively address this topic. Participants had a history of treating prostate cancer patients with the two commercially available MRI-guided RT devices. Participants also had a clinical focus on randomized trials in localized prostate cancer. The goal was to review both ongoing trials and present a conceptual focus on MRI-guided RT specifically in the definitive treatment of prostate cancer, along with developing and proposing novel trials for future consideration. Trial hypotheses, endpoints, and areas for improvement in localized prostate cancer that specifically leverage MR guided technology are presented. Results Multiple prospective trials were found that explored the potential of adaptive MRI-guided radiotherapy in the definitive treatment of prostate cancer. Different primary areas of improvement that MR guidance may offer in prostate cancer were summarized. Eight clinical trial design strategies are presented that summarize options for clinical trials testing the potential benefits of MRI-guided RT. Conclusions The number and scope of trials evaluating MRI-guided RT for localized prostate cancer is limited. Yet multiple promising opportunities to test this technology and potentially improve outcomes for men with prostate cancer undergoing definitive RT exist. Attention, in the form of multi-institutional randomized trials, is needed.
Neural correlates of abnormal cognitive conflict resolution in major depression: An event-related potential study

Abnormal cognitive conflict resolution has been considered as a critical element of executive dysfunctions inpatient with major depression (MD). Further clarifying whether there was a deficit at perceptual encoding stage or the early response-execution stage in conflict control function by event-related potential (ERP) technique in MD would be helpful in understanding the neural mechanism of MD. Participants included twenty-six depressed patients and twenty-six healthy controls (HCs). All participants measured with Hamilton Depression Scale (17-item edition, HAMD) and a Simon task. Electroencephalograms were synchronously recorded when performing the Simon task. The method of residue iteration decomposition was used to analyze the lateralized readiness potential (LRP) and P300 components, which contributed to divides ERP components into a stimulus-locked component (S-cluster), a response-locked component (R-cluster) and an intermediate component cluster (C-cluster) by using latency variability and time markers. Results showed that reactive times (RTs) for both groups were fastest in congruent trials, and slowest in incongruent trials; however, there is no difference in RTs under the three conditions between two groups. Accuracy Rate (ACC) for both groups were the highest in neutral trials, and the lowest in incongruent trials; ACC in MD group were all lower than that of HC group under three conditions. ERP data analyses showed that depressed patients had a deficit in activating the correct response, as reflected by reduced amplitudes of R-LRP, but no abnormality in LRP-S and P300-C. In conclusion, patients with MD present conflict control dysfunction (i.e., abnormal cognitive conflict resolution) at the early response-execution stage, not at perceptual encoding stage, which may be reflected by the reduced R-LRP amplitudes. The abnormal cognitive conflict resolution in activating the correct response might constitute an interesting treatment target.
Exploration of differentially expressed mRNAs and miRNAs for pediatric acute myeloid leukemia

Background: To establish a comprehensive differential gene profile for pediatric acute myeloid leukemia patients (pAML) based on two independent databases and verify the differentially expressed genes using in vitro and in vivo analyses. Methods: The mRNA and miRNA sequencing information of GSE2191 and GSE35320, clinically recruited pAML individuals, and human AML cell line (NB4 cells) were utilized in the study. Results: Compared with the control sample, pAML patients demonstrated a total of 778 differentially expressed genes, including 565 upregulated genes and 213 downregulated genes. The genes including ZC3H15, BCLAF1, PPIG, DNTTIP2, SRSF11, KTN1, UBE3A, PRPF40A, TMED5, and GNL2 were the top 10 potential hub genes. At the same time, 12 miRNAs demonstrated remarkable differential expressions in pAML individuals compared with control individuals, as five upregulated and seven downregulated miRNAs. The hsa-miR-133, hsa-miR-181, and hsa-miR-195 were significantly downregulated. Building a miRNA–mRNA regulatory network, hsa-miR-133 regulated ZC3H15, BCLAF1, SRSF11, KTN1, PRPF40A, and GNL2. Using the NB4 cell model, hsa-miR-133 treatment inhibited cell proliferation capacity, which could be attenuated by a single mRNA transfection or a combination of ZC3H15 and BCLAF1. At the same time, hsa-miR-133 mimic treatment could significantly accelerate cell apoptosis in NB4 cells, which was also ZC3H15- and BCLAF1-dependent. The concentrations of ZC3H15 and BCLAF1 were investigated in peripheral blood using the ELISA method for the clinical control and pAML samples. In pAML samples, the expression levels of ZC3H15 and BCLAF1 were significantly enhanced (p < 0.01), regardless of the classification. Conclusion: Collectively, this study hypothesized several promising candidates for pAML formation.
Effect of sacubitril/valsartan on the occurrence of cardiac arrhythmias and the risk of sudden cardiac death in heart failure: A meta-analysis of randomized controlled trials

Background Sacubitril/valsartan therapy reduced the risks of death and of hospitalization for heart failure (HF). HF and cardiac arrhythmias have shared physiological mechanisems. Therefore, sacubitril/valsartan may exhibit anti-arrhythmic properties in HF. The purpose of this study was to evaluate the effect of sacubitril/valsartan on the occurrence of cardiac arrhythmias and the risk of sudden cardiac death (SCD) in HF. Methods This meta-analysis was performed according to PRISMA guidelines. We searched PubMed and Embase (from inception up to 6 February 2022) to identify randomized control trials (RCTs) on the effect of sacubitril/valsartan on the occurrence of cardiac arrhythmias and the risk of SCD in HF. Primary outcomes were the occurrence of atrial arrhythmias, ventricular arrhythmias, and SCD. Risk ratios (RRs) with 95% confidence intervals (CIs) were pooled using a random-effects model for meta-analysis. Results We included 9 RCTs (published between 2012 and 2021) with 18,500 patients (9,244 sacubitril/valsartan vs. 9,256 active control). Enalapril and valsartan were used as active control in six and two studies, respectively. Follow-up ranged from 2 to 35 months. The cumulative occurrence of events was 76, 13, and 48 per 1,000 patient-years for atrial arrhythmias, ventricular arrhythmias and SCD, respectively. There was no significant association between sacubitril/valsartan therapy and the occurrence of atrial arrhythmias (RR 1.06; 95% CI: 0.97–1.17; P = 0.19) and ventricular arrhythmias (RR 0.86; 95% CI 0.68–1.10; P = 0.24). However, sacubitril/valsartan therapy significantly reduced the risk of SCD (RR 0.79; 95% CI 0.70–0.90; P = 0.03) compared with control. Conclusion No association between sacubitril/valsartan therapy and the occurrence of atrial and ventricular arrhythmias was found, but sacubitril/valsartan therapy significantly reduced the risk of SCD.
DgCspC gene overexpression improves cotton yield and tolerance to drought and salt stress comparison with wild-type plants

Drought and high salinity are key limiting factors for cotton quality and yield. Therefore, research is increasingly focused on mining effective genes to improve the stress resistance of cotton. Few studies have demonstrated that bacterial Cold shock proteins (Csps) overexpression can enhance plants stress tolerance. Here, we first identified and cloned a gene DgCspC encoding 88 amino acids (aa) with an open reading frame (ORF) of 264 base pairs (bp) from a Deinococcus gobiensis I-0 with high resistance to strong radiation, drought, and high temperature. In this study, heterologous expression of DgCspC promoted cotton growth, as exhibited by larger leaf size and higher plant height than the wild-type plants. Moreover, transgenic cotton lines showed higher tolerance to drought and salts stresses than wild-type plants, as revealed by susceptibility phenotype and physiological indexes. Furthermore, the enhanced stresses tolerance was attributed to high capacity of cellular osmotic regulation and ROS scavenging resulted from DgCspC expression modulating relative genes upregulated to cause proline and betaine accumulation. Meanwhile, photosynthetic efficiency and yield were significantly higher in the transgenic cotton than in the wild-type control under field conditions. This study provides a newly effective gene resource to cultivate new cotton varieties with high stresses resistance and yield.