Sahllindahl8164

Why do humans develop beliefs in supernatural entities that punish uncooperative behaviors? Leading hypotheses maintain that these beliefs are widespread because they facilitate cooperation, allowing their groups to outcompete others in intergroup competition. Focusing on within-group interactions, we present a model in which people strategically endorse supernatural punishment beliefs as intuitive tools of social control to manipulate others into cooperating. Others accept these beliefs, meanwhile, because they are made compelling by various cognitive biases they appear to provide information about why misfortune occurs; they appeal to intuitions about immanent justice; they contain threatening information; and they allow believers to signal their trustworthiness. Explaining supernatural beliefs requires considering both motivations to invest in their endorsement and the reasons others adopt them.The accurate estimate of the postmortem interval (PMI) is of vital significance in the investigation of homicide cases. In this study, three pig carcasses were placed in the field to study the pattern of insect succession, the change of microorganisms and the degradation of muscle tissue RNA during the decomposition process. The results showed that insects could quickly colonize the carcasses and still exist on them until the end of the experiment (41 days). Their development and succession patterns are useful indicators for PMI estimation. The diversity of rectal microorganisms decreased with the decomposition time. In different decomposition periods, significant differences in the rectal and soil microbial composition and relative abundance were found, which could be used to estimate the PMI with an accuracy of 3-4 days. The RNA of muscle tissue was found to have a time-dependent relationship with the PMI. Ppia and Gapdh showed a linear upward trend within 10 h after the death, followed by a gradual downward trend from 10 to 240 h. The expression of β-actin gene showed a gradual downward trend during 0-240 h. This is the first study in China to analyze the changes of insects, muscle RNA and microorganisms on pig carcasses in the same natural environment, which provide basic data for the PMI estimation.This work presents two simple methods for estimating the firing distance from the gunshot residues (GSRs) on fabric targets. Four types of fabric targets, namely twill weave denim cotton-polyester (80/20), jersey knitting 100% cotton, plain weave cotton-polyester (80/20) and plain weave cotton-polyester (60/40), were employed. The firing tests were carried out using these white fabrics as targets at distances of 5-100 cm, respectively. In the first method, digital images of the black GSRs on fabric materials were recorded inside an illuminated box and the inverted gray intensity values were plotted against the firing distances. Since the plots of all fabrics are not significantly different, the estimation of firing distance employs the same exponential curve for all test fabrics. Although simple, the imaging method is not suitable for dark-colored materials. A chemical-based method was therefore developed as an alternative method. In the second method, a small disposable microfluidic paper-based analytical device (μPAD) was employed for detecting Pb(II) extracted from the GSRs. The μPAD method uses the measurement of the length of a narrow band of a pink color resulting from reaction between rhodizonate reagent and the Pb(II) extract. The plots indicated that the data of thick denim material are significantly different to other test fabrics which are much thinner. These three fabrics share the same estimation curve. However, it is recommended that the separate estimation curve for denim materials must be used. Both methods are suitable for short range firing distance, no further than 60 cm, since at greater distances the inverted gray intensity and the 'band-length' methods are unable to detect the GSRs.

Novel anticancer agents are initially evaluated in a palliative setting in phase I studies. The benefit-risk applying the selected dose from these phase I studies can be considered acceptable at time of registration, however, it is unknown if the optimal dose has been selected during drug development.

The European Medicines Agency (EMA) European Public Assessment Reports (EPARs) overview was used to select anticancer agents evaluated between 2015 and 2020. The dose selection and tolerability data of EMA assessed anticancer agents was analysed to evaluate dose selection.

Sixty EPARs were included for analysis. A dose-response relation was identified in five dossiers (8%). The maximum tolerated dose (MTD) was the selected dose for 15 anticancer agents (25%). The MTD was not determined in 27 out of 60 cases (59%). When the MTD was determined but not applied as final dose, the most frequently used dose selection criteria were the combination of toxicity, exposure response, pharmacokinetic data and pharmacodgy is often poorly tolerable as reflected by the high discontinuation and dose reduction rates. Due to the absence of dose-response data, it is often unknown if the optimal dose has been selected for anticancer agents.Non-invasive diagnosis and staging of diffuse large B-cell lymphoma (DLBCL) were achieved using label-free surface-enhanced Raman spectroscopy (SERS). Sodiumoxamate SERS spectra were measured for serum samples of DLBCL patients at different progressive stages and healthy controls (HCs), using colloidal silver nano-particles (AgNPs) as the substrate. Differences in the spectral intensities of Raman peaks were observed between the DLBCL and HC groups, and a close correlation between the spectral intensities of Raman peaks with the progressive stages of the cancer was obtained, demonstrating the possibility of diagnosis and staging of the disease using the serum SERS spectra. Multivariate analysis methods, including principal component analysis (PCA), linear discriminant analysis (LDA), support vector machine (SVM) classifier, and k-nearest neighbors (kNN) classifier, were used to build the diagnosis and staging models for DLBCL. Leave-one-out cross-validation was used to evaluate the performances of the models. The kNN model achieved the best performances for both diagnosis and staging of DLBCL for the diagnosis analysis, the accuracy, sensitivity, and specificity were 87.3%, 0.921, and 0.809, respectively; for the staging analysis between the early (Stage I & II) and the late (Stage III & IV) stages, the accuracy was 90.6%, and the sensitivity values for the early and the late stages were 0.947 and 0.800, respectively. The label-free serum SERS in combination with multivariate analysis could serve as a potential technique for non-invasive diagnosis and staging of DLBCL.The design and construction of a sensor that can sensitively and conveniently recognize metal ions are essential for the treatment of industrial wastewater. In this work, [Cd4(HL)2(pyp)2(H2O)2]·2H2O·1.5Dioxn (1) was synthesized under solvothermal condition and presented a 2D 3,5-connected layered network with the point symbol of 3.4.5 32.4.5.62.74, which was coated on the surface of polyvinylidene fluoride (PVDF) to construct a novel paper sensor (1@PVDF). Meanwhile, the stability of 1@PVDF was characterized by powder X-ray diffraction (PXRD) and thermogravimetric analysis (TGA). In addition, fluorescence sensing experiments of 1@PVDF sensor for cations in aqueous system indicated that it has high sensitivity for sensing Fe3+ ions with the detection limit (DL) of 4.0 × 10-8 M. By the characterization of PXRD, UV-vis spectra, ICP, XPS, time-resolved excited-state decay measurements, the sensing mechanisms of 1@PVDF for Fe3+ ions were attributed to the competitive absorption and interaction between 1 and Fe3+. And the sensing process of 1@PVDF for Fe3+ ions was static in the Fe3+ concentration of 0 to 0.05 mM. In addition, the binding energies of Fe3+ and Zn2+ with the framework of 1 were calculated by density functional theory (DFT), which further proved that there was an obvious interaction between Fe3+ and the uncoordinated O atom in 1. Based on the thin film technology, a portable and convenient paper-based probe has been developed for practical applications.The prevalence and impact of child maltreatment make the scientific investigation of this phenomenon a matter of vital importance. Prior research has examined associations between problematic patterns of parents' emotion reactivity and regulation and child maltreatment and maltreatment risk. However, the strength and specificity of these relationships is not yet clear. To address this, we conducted a systematic literature search of four databases from inception through February 2021 to identify studies that reported these relationships. Our resulting meta-analysis of maltreatment involved parents of children who are up to 18 years of age (k = 46, encompassing 6669 parents). Our focus was the magnitude of the difference in levels of emotion reactivity and regulation between parents who maltreat or are at risk of maltreating and parents who do not maltreat their children or are not at risk of maltreating their children. As expected, results from meta-analyses using robust variance estimation indicated significantly higher problems with reactivity and regulation in maltreating parents / parents at risk (r = 0.40, k = 140; 95% CI [0.34, 0.45]), indicating that maltreating / at risk parents were more likely to have overall worse measures of reactivity and regulation. In comparison to non-maltreating parents, maltreating / at risk parents experience more negative emotions, display more negative emotion behavior, and are more dysregulated. These effects were fairly stable with little to no remaining heterogeneity. The current review concludes with a theoretical framework outlining the role of emotion reactivity and regulation in multiple risk factors of maltreatment, aiming to guide future study in this area.

This study aims to investigate the role of long noncoding RNA distal-less homeobox 2 antisense 1 (DLX2-AS1) in lipopolysaccharide-induced inflammatory response and apoptosis of periodontal ligament cells (PDLCs).

Lipopolysaccharide was used to induce inflammation response of PDLCs. The expression of DLX2-AS1, microRNA-330-3p and Ro60, Y RNA binding protein (RO60) in lipopolysaccharide-treated PDLCs was detected by reverse transcription quantitative polymerase chain reaction (RT-qPCR). Enzyme linked immunosorbent assay (ELISA) was performed to evaluate the concentration of inflammatory cytokines in PDLCs after DLX2-AS1 overexpression or RO60 downregulation. The apoptosis of PDLCs after lipopolysaccharide treatment or indicated transfection was analyzed by flow cytometry analysis. The level of apoptosis-related proteins, Bax and Bcl-2, were examined by western blotting. The binding capacity between microRNA-330-3p and DLX2-AS1 (or RO60) was verified by luciferase reporter assays.

DLX2-AS1 was downregulated in PDLCs after lipopolysaccharide treatment. DLX2-AS1 overexpression decreased the production of inflammatory cytokines and inhibited cell apoptosis. microRNA-330-3p bound with DLX2-AS1 and displayed high expression in lipopolysaccharide-induced PDLCs. In addition, the downregulation of RO60, a target gene of microRNA-330-3p, reversed the suppressive influence of DLX2-AS1 overexpression on the inflammatory response and apoptosis of PDLCs.

DLX2-AS1 restrains inflammatory response and apoptosis of PDLCs via the microRNA-330-3p/RO60 axis.

DLX2-AS1 restrains inflammatory response and apoptosis of PDLCs via the microRNA-330-3p/RO60 axis.