Miracle-dz/UniFAR-FTUs huggingface dataset:
p53 Antibodies as a Diagnostic Marker for Cancer: a Metanalysis

Abstract: Importance: p53 is an unequivocal tumor suppressor altered in half cancers. The immune system produces systemic p53 autoantibodies (p53 Abs) in many cancer patients. Objective: The focus of this systemic review and meta-analysis is on the prognostic value of p53 Abs expressed in the serum of patients with solid tumors. Data Sources: All the clinical investigations were searched on PubMed, MBase and Cochrane from 1993 reporting the first study until May 2021. Study Selection: Studies were included that met the following criteria: 1) participants with cancer; 2) outcome results expressed in relation to the presence of a p53 antibody; 3) a primary outcome (disease free survival, overall survival or progression free survival) expressed as hazard ratio (HR). The following exclusion criteria were used: 1) insufficient data available to evaluate outcomes; 2) animal studies; 3) studies with less than 10 participants. 1333 potentially relevant articles; studies as duplicates, non-patients studies or reviews were excluded. After viewing the titles and abstracts of the 52 remaining studies, the full texts of 34 studies were retrieved and 12 studies were included in the analysis. Data Extraction and Synthesis: PRISMA guidelines were used for abstracting and assessing data quality and validity by three independent observers. The summary estimates were generated using a fixed-effect model (Mantel–Haenszel method) or a random-effect model (DerSimonian–Laird-method) depending on the absence or presence of heterogeneity (I2). Main Outcome(s) and Measure(s): The primary study outcome was to determine the prognostic value of p53 Abs from a large population size of patients with solid tumors, as determined before data collection. Results: In total 12 clinical studies and of which 2094 patients were included and it was determined that p53-wt Abs expression in the serum significantly correlated with a worse survival of cancer patients (95% CI 1.48 [1.24, 1.77]; p<0.00001). On the contrary, data from literature indicated that there was a potential association between p53-mut Abs antibodies with better survival. Conclusions and Relevance: This is the first meta-analysis proving the diagnostic utility of p53-Abs for cancer patients, predicting a worse outcome. The serum-p53 value (s-p53-value) could be useful for future theranostics.
Mining Pareto-Optimal Counterfactual Antecedents With A Branch-And-Bound Model-Agnostic Algorithm

Mining counterfactual antecedents became a valuable tool to discover knowledge and explain machine learning models. It consists of generating synthetic samples from an original sample to achieve the desired outcome in a machine learning model thus helping to understand the prediction. An insightful methodology would explore a broader set of counterfactual antecedents to reveal multiple possibilities while operating on any classifier. Thus, we create a tree-based search that requires monotonicity from the objective functions (a.k.a. cost functions); it allows pruning branches that will not improve the objective functions. Since monotonicity is only required for the objective function, this method can be used for any family of classifiers (e.g., linear models, neural networks, decision trees). However, additional classifier properties speed up the tree-search when it foresees branches that will not result in feasible actions. Moreover, the proposed optimization generates a diverse set of Pareto-optimal counterfactual antecedents by relying on multi-objective concepts. The results show an algorithm with working guarantees that enumerates a wide range of counterfactual antecedents. It helps the decision-maker understand the machine learning decision and finds alternatives to achieve the desired outcome. The user can inspect these multiple counterfactual antecedents to find the most suitable one and have a broader understanding of the prediction.
A Longitudinal Study on the Effects of Parasocial Relationships and Breakups With Characters of a Health-Related TV Show on Self-Efficacy and Exercise Behavior: The Case of The Biggest Loser

Overweight is one of the major health-related challenges in industrialized countries and mostly preventable through a healthy diet and regular engagement in physical activity. Health communication practitioners and researchers, therefore, started using the media’s persuasive potential by creating entertainment-education (E-E) programs that promote healthy nutrition and exercise. By observing the characters in E-E programs, audience members can learn vicariously and eventually develop personal bonds with them. The current study investigates the effects of parasocial relationships (PSRs) with characters of a health-related E-E show, as well as the impact of parasocial breakups (PSBUs) on health-relevant outcomes. Using the setting of the show The Biggest Loser (TBL), we conducted a quasi-experimental longitudinal field study. Participants (N = 149) watched shortened episodes of the show once a week for 5 weeks. Results showed that PSRs with the reality TV characters did not increase over time and after repeated exposure. Findings furthermore suggest that PSR did not influence self-efficacy perceptions or exercise behavior over time. Parasocial breakup distress intensity was neither related to self-efficacy nor to exercise behavior. Interpretations of these findings and implications for better understanding the effects of PSRs and PSBUs are discussed.
Exogenous metabolites spray, which identified from metabolomics analysis and transcriptomic analysis, can improve salt tolerance of Chinese cabbages (Brassica rapa L.ssp pekinensis)*

ABSTRACT Soil salinization is one of the causes of the decline of the available cultivated land. By improving the salt tolerance of vegetables, the abandoned salinized land can be effectively utilized, saving the arable land for major crops. We investigated the salt tolerance of hundreds of Chinese cabbage cultivars, by which the two most tolerant and sensitive cultivars were selected and studied by metabolome and transcriptome analyses. The results showed that, under salt stress, metabolites’ response was not closely correlated with gene expressions in the tested Chinese cabbages. However, some KEGG pathways were significantly regulated at both metabolic and transcriptional levels. Furthermore, we identified several critical metabolites in the co-regulated pathways, including acetyl-CoA, pyruvic acid, ATP, nicotinic acid and Coenzyme Q10, which could alleviate the salt stress level in the tested Chinese cabbage. Thus, our findings provide candidate agents which can be used to improve salt tolerance in Chinese cabbage.
Aerodynamic Study of Tilting Asymmetrical Ducted Fans Mounted at the Wing Tips of a VTOL UAV

Tilting ducted fans attached to the wing tips of vertical take-off and landing unmanned aerial vehicles (VTOL UAVs) define new applications for these types of vehicles. This new configuration gives VTOL UAVs the ability to hover like helicopters and fly forward like airplanes. These abilities provide VTOL UAVs with possibility of using any arbitrary location for take-off and landing combined with enhanced range and speed. The thrust vectoring is another advantage of this new configuration, which can be used in most of the necessary maneuvers. The flow behaviour around tilting ducted fans needs to be studied as it has significant effects on the performance of the VTOL UAVs. The first objective of this research is to investigate the use of asymmetrical shape for the external body of ducted fans. This geometry can generate additional lift in cruise mode, which can lead to more applications for the VTOL UAVs by saving more energy. Both CFD and experimental methods showed noticeable improvement in the lift velocity (Vind) of the inlet flow to the rotor plane. This is required for computing aerodynamic coefficients necessary for stability and control analysis of the proposed VTOL UAV. “Actuator Disk Model” combined with the assumption of “Constant Delivered Power” to the propeller were used successfully to calculate Vind for the CFD simulations. The third objective is using CFD coefficient by using an asymmetrical ducted fan. The second objective is to predict the induced simulation for predicting aerodynamic forces and pitching moments of the tilting ducted fans in the transition conditions for different tilting rates. The effects of the stall and flow separation on the aerodynamic coefficients were discussed and compared for both ducted fans. The fourth objective is using the aerodynamic coefficients of the tilting ducted fans to predict and compare the level flight conditions of the proposed VTOL UAV during transition between cruise mode and hover. Results of this research demonstrate satisfactory agreement between CFD simulations and wind tunnel tests for all of these objectives, which could predict the aerodynamic behaviour of the proposed VTOL UAV during transition between cruise mode and hover.
CONSTRUÇÃO, OTIMIZAÇÃO E ANCORAGEM MOLECULAR DE SUBSTÂNCIAS BIOATIVAS EM BIOMACROMOLÉCULAS: UM TUTORIAL PRÁTICO

CONSTRUCTION, OPTIMIZATION AND MOLECULAR DOCKING OF BIOACTIVE SUBSTANCES IN BIOMACROMOLECULES: A PRACTICAL TUTORIAL. In the last two decades, increasing advances in molecular biology and instrumental analysis for solving macromolecular structures have amplified the applicability of cheminformatics in drug discovery. In particular, molecular docking, an in silico structural-based method, has prospered as an efficient tool for understanding molecular interactions that drives formation of stable receptor-ligand systems. Brazil affords many research groups working hard on this subject; however, there is a lack of material in the Portuguese language, teaching how to apply molecular docking methodologies. Herein, we define and discuss a simple and low-cost workflow for molecular docking evaluation, comprising software installation (supplemental material) and how to use them for construction of small-molecules, perform docking calculations, analysis of the results and the preparation of quality figures. Given that, we have used free software and web-servers, as well as in silico tools supported by national funding agencies.
Provide A Method Based on Genetic Algorithm to Optimize the Fuzzy Logic Controller for the Inverted Pendulum

One of the classic systems in dynamics and control is the inverted pendulum, which is known as one of the topics in control engineering due to its properties such as nonlinearity and inherent instability. Different approaches are available to facilitate and automate the design of fuzzy control rules and their associated membership functions. Recently, different approaches have been developed to find the optimal fuzzy rule base system using genetic algorithm. The purpose of the proposed method is to set fuzzy rules and their membership function and the length of the learning process based on the use of a genetic algorithm. The results of the proposed method show that applying the integration of a genetic algorithm along with Mamdani fuzzy system can provide a suitable fuzzy controller to solve the problem of inverse pendulum control. The proposed method shows higher equilibrium speed and equilibrium quality compared to static fuzzy controllers without optimization. Using a fuzzy system in a dynamic inverted pendulum environment has better results compared to definite systems, and in addition, the optimization of the control parameters increases the quality of this model even beyond the simple case.
Hyperspectral Anomaly Detection: A survey

Hyperspectral imagery can obtain hundreds of narrow spectral bands of ground objects. The abundant and detailed spectral information offers a unique diagnostic identification ability for targets of interest. Hyperspectral anomaly detection aims to find targets without prior knowledge, which has attracted attention as a branch of target location. In this article, current hyperspectral anomaly detection methods, anomaly detection performance evaluation techniques, and hyperspectral anomaly detection data sets are widely investigated. Among them, hyperspectral anomaly detection methods can be classified into seven categories: statistic-based, distance-based, reconstruction-based, subspace-based, spatial–spectral-based, deep learning-based, and real-time anomaly detection. The performance of different types of detection methods is also verified with three real hyperspectral data sets. Finally, conclusions about hyperspectral anomaly detection are summarized, and challenges for future research are discussed.
Low-Complexity Leader-Following Formation Control of Mobile Robots Using Only FOV-Constrained Visual Feedback

This article aims to solve the problem of formation control of mobile robots based on image and provide a low-cost as well as ease-of-implementation solution for mobile robots relying merely on a monocular camera under field-of-view (FOV) constraints. A low-complexity image-based visual servo controller is proposed, which can achieve the desired relative position on the image plane and solve the FOV constraints without the feature depth and leader’s velocities information. To facilitate the control design, a state transformation is first performed to decouple the visual motion kinematics. Then, an error transformation is introduced to handle the FOV constraints, and performance specifications are incorporated in the error transformation to achieve the predefined control performance. Finally, a simple static controller is derived using only information from images, and the stability of the uncertain system with unknown control direction/coefficients under the given performance control condition is analyzed. The effectiveness and performance of the proposed visual servoing controller can be illustrated using both simulations and experiments.
Association of sexually transmitted infection with semen quality in men from couples with primary and secondary infertility

This study aims to compare the prevalence of sexually transmitted infections (STIs) with semen quality in men from couples with primary and secondary infertility. Semen samples were collected from 133 men who requested fertility evaluation. Seminal tract infection with Ureaplasma spp. (UU), Mycoplasma hominis (MH), Mycoplasma genitalium (MG), Chlamydia trachomatis (CT), Neisseria gonorrhoeae (NG), and herpes simplex virus-2 (HSV-2) was assessed by PCR-based diagnostic assays. Among all patients, the prevalence of STIs was higher in men from couples with primary infertility than that in men from couples with secondary infertility (39.7% vs 21.7%, P = 0.03). The prevalence of UU was 28.8% and 13.3% in men from couples with primary and secondary infertility, respectively. Men from couples with primary infertility were more likely to be positive for UU than men from couples with secondary infertility (P = 0.04). Regarding the UU subtype, the prevalence of Ureaplasma urealyticum (Uuu) and Ureaplasma parvum (Uup; including Uup1, Uup3, Uup6, and Uup14) did not differ between the two groups. No associations between the prevalence rates of MH, MG, and CT were found in men from either infertility group. A lower sperm concentration was associated with STI pathogen positivity in men with primary infertility according to the crude model (P = 0.04). The crude and adjusted models showed that semen volume (both P = 0.03) and semen leukocyte count (both P = 0.02) were independently associated with secondary infertility. These findings suggest the importance of classifying the type of infertility during routine diagnosis of seminal tract infections.
Student Privacy: A Key Piece of the Online Student Satisfaction Puzzle

This quantitative study examines linkages from online student perceptions of privacy in the satisfaction puzzle across 5 university administrative/student touch-points. The importance of categorizing the quality dimensions of online learning is paramount as learners are exposed to multiple quality touch-points prior to, during, and after the completion of an online learning experience (Ehlers, 2004; Frydenberg, 2002). Facing a greater competitive environment in student recruitment, academic institutions are increasingly aware of external evaluator rankings, accreditors, and resulting student perceptions. ANOVA results are reported, along with considerations and issues for addressing perceptions of privacy among online students.
Vernal Pool Wetlands Respond to Livestock Grazing, Exclusion, and Reintroduction

1. In disturbance-adapted ecosystems, the removal of disturbance can lead to losses of diversity and sometimes irreversible changes in community composition. It is important to identify the thresholds at which these changes can occur, and to understand the reversibility of these shifts. We examined this question in a vernal pool ecosystem that evolved with low to moderate levels of grazing disturbance. In this system, it is not clear whether the negative effects of long-term grazing exclusion are reversible through grazing reintroduction.
Corporate Governance and Firm Performance in State-Owned Enterprises (SOEs) in Zambia: A Systematic Review

The research systematically documented and described the corporate governance practices and financial performance in State-Owned Enterprises (SOEs) in Zambia from 2006 to 2017. The research design that was adopted was the descriptive research design to systematically describe the corporate governance practices and financial performance of SOEs in Zambia. The corporate governance attributes for SOEs such as board size, board appointing authorities and board membership have been found to be prescribed by a diversity of Acts of Parliament for different SOEs. This finding suggests that the governance of these entities could be a challenge insofar as the uniformity of the legal framework for the governance of the entities was concerned. In addition to this, board membership which are designated by specific government positions rather than merit based, compromises board effectiveness. The study has further shown that failure to produce and publish, for public scrutiny, audited financial statements on a timely basis leads to lack of transparency and accountability. The financial performance has been found to have been poor as the SOEs on average produced negative returns on total assets and the SOEs were highly geared based on operating gearing and financing gearing. Lastly, financial performance of SOEs and the corporate governance practices differed significantly across different industries under which the SOEs operated.
Tough Enough: How Domestic Pressure to Use Force Affects Leaders Differently

Existing literature assesses how prior military training affects the likelihood that leaders use military force in ofﬁce. One gap in this literature is whether a leader’s domestic environment also shapes individual propensity for use of force. I focus on militarism as a domestic factor that triggers variation in the conﬂict tendencies of leaders and operationalize militarism with a novel metric that compares military to welfare spending. The results show that militarism has an equal effect on the conﬂict propensity of leaders with civilian and military backgrounds. However, comparing military leaders with combat experience to those without combat experience, the results show that militarism produces the strongest effect on the conﬂict propensity of military-no-combat leaders, particularly in dictatorships. I posit that this outcome results from the pressure that these leaders confront to demonstrate toughness. I refer to the pressure to perform toughness as the “demonstration dynamic” and use this concept to explain the dramatic shift in Libyan foreign policy from King Idris to Muammar Qaddaﬁ.
Comparison of treatments for hepatocellular carcinoma patients with portal vein thrombosis: a systematic review and network meta-analysis

Background Sorafenib, hepatectomy, and transarterial chemoembolization (TACE) are the recommended treatment for portal vein tumor thrombosis (PVTT) patients. Therefore, the aim of the present study was to conduct a multi-treatment meta-analysis. The aim of the present study was to analyze the survival benefit of different treatments options on PVTT patients. Methods We systematically analyzed 12 randomized controlled trials (4,265 participants) from 2012 to 2019, which compared any of the following treatment options on PVTT patients: TACE, sorafenib, hepatectomy, sorafenib + TACE, hepatectomy + TACE, and sorafenib + hepatectomy. The main outcome was the 1-year survival rate of patients. Results The results of the rank probability of effectiveness showed that sorafenib + TACE was more likely to be the most effective treatment, sorafenib + TACE group was ranged rank 1 when compared with the others [hepatectomy group: odds ratio (OR): 0.79, 95% confidence interval (CI): 0.03–18.26; hepatectomy + TACE group: OR: 0.51, 95% CI: 0.01–13.59; sorafenib group: OR: 0.14, 95% CI 0.01–2.29, sorafenib + hepatectomy group: OR: 0.15, 95% CI: 0.00–24.88; and TACE group: OR: 0.51, 95% CI: 0.02–9.88]. The second most effect treatment option was hepatectomy alone. Discussion Sorafenib + TACE is more likely to be the most effective treatment option, while hepatectomy alone is the second effective treatment option.
Molecular Functions of Hydrogen Sulfide in Cancer

Hydrogen sulfide (H2S) is a gasotransmitter that exerts a multitude of functions in both physiologic and pathophysiologic processes. H2S-synthesizing enzymes are increased in a variety of human malignancies, including colon, prostate, breast, renal, urothelial, ovarian, oral squamous cell, and thyroid cancers. In cancer, H2S promotes tumor growth, cellular and mitochondrial bioenergetics, migration, invasion, angiogenesis, tumor blood flow, metastasis, epithelia–mesenchymal transition, DNA repair, protein sulfhydration, and chemotherapy resistance Additionally, in some malignancies, increased H2S-synthesizing enzyme expression correlates with a worse prognosis and a higher tumor stage. Here we review the role of H2S in cancer, with an emphasis on the molecular mechanisms by which H2S promotes cancer development, progression, dedifferentiation, and metastasis.
Constraints on models of the origin of high-energy astrophysical neutrinos

The existence of astrophysical neutrinos with energies of tens of TeV and higher has been firmly established by the IceCube experiment; the first confirmations of this discovery were obtained by the ANTARES and Baikal-GVD installations. At the same time, observational results do not fully agree with those expected before the start of these experiments. The origin of the neutrino has not yet been determined, while simple theoretical models, popular for decades, cannot explain the entire ensemble of observational data. In the present review, a summary of experimental results is given with a particular emphasis on those most relevant for constraining theoretical models; features of various scenarios of the origin of high-energy neutrinos are discussed; and particular classes of their potential astrophysical sources are briefly listed. It is shown that observational data may be explained if the astrophysical neutrino flux includes both a contribution of extragalactic sources, dominant at high energies, and a Galactic component, essential only at neutrino energies ≲ 100 TeV. Other possible scenarios are also discussed.
Impfungen bei Kindern und Jugendlichen mit onkologischer Grunderkrankung

Laws HEine onkologische Therapie führt zu einer Immundefizienz und somit zum Verlust der zellulären und humoralen Immunität. So geht auch die vormals durch Impfungen erworbene Immunität gegen entsprechende Infektionskrankheiten verloren. Wann der optimale Zeitpunkt für Wiederholungsimpfungen ist und welche Impfungen erneut vorzunehmen sind, wurde durch eine aktuelle Stellungnahme der Ständigen Impfkommission (STIKO) bearbeitet und publiziert.