Miracle-dz/UniFAR-FTUs huggingface dataset:
Minimizing evaluation time while maintaining accuracy: Cross-validation of the Test of Memory Malingering (TOMM) Trial 1 and first 10-item errors as briefer performance validity tests.

Current standards of practice in neuropsychology advocate for including validity tests (PVTs). Abbreviating PVTs, such as the Test of Memory Malingering (TOMM), may help reduce overall evaluation time while maintaining diagnostic accuracy. TOMM Trial 1 performance (T1), as well as the number of errors within the first 10 items of Trial 1 (TOMMe10), have shown initial promise as abbreviated PVTs but require additional external cross-validation. This study sought to replicate findings from other mixed, diverse, clinical samples and provide further validation of abbreviated administrations of the TOMM. Data included 120 veterans who completed the TOMM and 3 criterion PVTs during clinical evaluation. In total, performance from 68% of the sample was classified as valid (52% met criteria for cognitive impairment), and performance from 32% of the sample was invalid. Group differences, diagnostic accuracy statistics, and receiver operating characteristic (ROC) curves were analyzed for relevant TOMM indices. There were large (η²p= .45-.66), significant differences between validity groups (p < .001) on TOMM T1 and TOMMe10, with lower TOMM T1 and higher TOMMe10 scores for participants with invalid performance. Using established cut-scores, sensitivities/specificities were: TOMMe10 ≥1 error: . 84/. 66; ≥2 errors: . 74/. 93; TOMM T1 ≤40: . 82/. 93. ROC curve analysis yielded significant areas under the curve for both TOMMe10 and T1 with respective optimal cut-scores of ≥2 errors (.74 sensitivity/.93 specificity) and ≤41 (.84 sensitivity/.91 specificity). TOMMe10 and T1 performances are minimally impacted by cognitive impairment. Although both evidenced robust psychometric properties, TOMM T1 continued to show greater accuracy than TOMMe10. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
Enhanced dissolution rate of Ketoprofen by fabricating into smart nanocrystals.

The low bioavailability of Ketoprofen is associated with its hydrophobic nature that can be solved by nanonization. For this purpose, a polymeric solution with drug concentration of 3.5% w/w was formulated. The produced solution was milled for 60 minutes in DENA® mill which contains 0. 2μ m yttrium reinforced zirconium beads. The Physicochemical properties, characterization including stability studies of the prepared nanoparticles were carried out using pharmacopeial techniques of zeta potential, PXRD, DSC, SEM and TEM. Results suggest that stable crystalline nanocrystals with a size of 169±1.98nm with PDI of 0.194±0.04 and zeta potential of -22.0±2.25mV were produced. Moreover, enhances in-vitro release rate of 78.6% for the processed Ketoprofen was achieved in first 5 min as compared to raw form and marketed drug which released only 22.9% and 33.1% of drug respectively. The 60 days stability studies at 4oC & 25°C revealed that polymers PVP-K30-HPMC-6cps-SDS were effective in stabilizing the nanocrystals. Comparatively stable ketoprofen nanocrystals were successfully produced by DENA® mill with marked enhanced dissolution rate. It proved a useful for commercialization technique due to high drug concentration and retention of distinct characteristics at large scale.
Packing structure of semiflexible rings

Significance Understanding the structure of disordered assemblies of ring molecules is key for the description of polymer rings and cyclic biomolecules. Here we study the geometrical and topological properties of these systems by imaging disordered assemblies of macroscopic rubber bands through X-ray tomography. Commonly, these systems contain networks of interthreading bands which percolate the whole assembly. But when the bands are much longer than the container, we observe the formation of fully entangled states, where each band is in the neighborhood of the others. Thus, confined semiflexible ring macromolecules are expected to have extremely correlated configurations with very slow glassy-like dynamics. Unraveling the packing structure of dense assemblies of semiflexible rings is not only fundamental for the dynamical description of polymer rings, but also key to understand biopackaging, such as observed in circular DNA of viruses or genome folding. Here we use X-ray tomography to study the geometrical and topological features of disordered packings of rubber bands in a cylindrical container. Assemblies of short bands assume a liquid-like disordered structure, with short-range orientational order, and reveal only minor influence of the container. In the case of longer bands, the confinement causes folded configurations and the bands interpenetrate and entangle. Most of the systems are found to display a threading network which percolates the system. Surprisingly, for long bands whose diameter is more than twice the diameter of the container, we found that all bands interpenetrate each other, in a complex fully entangled structure.
Circulating HPV cDNA in the blood as a reliable biomarker for cervical cancer: A meta-analysis

The applications of liquid biopsy have attracted much attention in biomedical research in recent years. Circulating cell-free DNA (cfDNA) in the serum may serve as a unique tumor marker in various types of cancer. Circulating tumor DNA (ctDNA) is a type of serum cfDNA found in patients with cancer and contains abundant information regarding tumor characteristics, highlighting its potential diagnostic value in the clinical setting. However, the diagnostic value of cfDNA as a biomarker, especially circulating HPV DNA (HPV cDNA) in cervical cancer remains unclear. Here, we performed a meta-analysis to evaluate the applications of HPV cDNA as a biomarker in cervical cancer. A systematic literature search was performed using PubMed, Embase, and WANFANG MED ONLINE databases up to March 18, 2019. All literature was analyzed using Meta Disc 1.4 and STATA 14.0 software. Diagnostic measures of accuracy of HPV cDNA in cervical cancer were pooled and investigated. Fifteen studies comprising 684 patients with cervical cancer met our inclusion criteria and were subjected to analysis. The pooled sensitivity and specificity were 0.27 (95% confidence interval [CI], 0.24–0.30) and 0.94(95% CI, 0.92–0.96), respectively. The pooled positive likelihood ratio and negative likelihood ratio were 6.85 (95% CI, 3.09–15.21) and 0.60 (95% CI, 0.46–0.78), respectively. The diagnostic odds ratio was 15.25 (95% CI, 5.42–42.94), and the area under the summary receiver operating characteristic curve was 0.94 (95% CI, 0.89–0.99). There was no significant publication bias observed. In the included studies, HPV cDNA showed clear diagnostic value for diagnosing and monitoring cervical cancer. Our meta-analysis suggested that detection of HPV cDNA in patients with cervical cancer could be used as a noninvasive early dynamic biomarker of tumors, with high specificity and moderate sensitivity. Further large-scale prospective studies are required to validate the factors that may influence the accuracy of cervical cancer diagnosis and monitoring.
A Double-Activity (Green Algae Toxicity and Bacterial Genotoxicity) 3D-QSAR Model Based on the Comprehensive Index Method and Its Application in Fluoroquinolones’ Modification

The comparative molecular similarity index analysis (CoMSIA) model of double-activity quinolones targeting green algae toxicity and bacterial genotoxicity (8:2) was constructed in this paper on the basis of the comprehensive index method. The contour maps of the model were analyzed for molecular modifications with high toxicities. In the CoMSIA model, the optimum number of components n was 7, the cross-validated q2 value was 0.58 (>0.5), the standard deviation standard error of estimate (SEE) was 0.02 (<0.95), F was 1265.33, and the non-cross-validated R2 value was 1 (>0.9), indicating that the model had a good fit and predicting ability. The scrambling stability test parameters Q2, cross-validated standard error of prediction (cSDEP), and dq2/dr2yy were 0.54, 0.25, and 0.8 (<1.2), respectively, indicating that the model had good stability. The external verification coefficient r2pred was 0.73 (>0.6), and standard error of prediction (SEP) was 0.17, indicating that the model had a good external prediction ability. The contribution rates of the steric fields, electrostatic fields, hydrophobic fields, hydrogen bond donor, and acceptor fields were 10.9%, 19.8%, 32.7%, 13.8%, and 22.8%, respectively. Large volume groups were selected for modification of ciprofloxacin (CIP), and the derivatives with increased double-activity characterization values were screened; the increase ratio ranged from 12.31–19.09%. The frequency of derivatives were positive and total energy, bioaccumulation, and environmental persistence was reduced, indicating that the CIP derivatives had good environmental stability and friendliness. Predicted values and CoMSIA model constructed of single activities showed that the CoMSIA model of double activities had accuracy and reliability. In addition, the total scores of the derivatives docking with the D1 protein, ferredoxin-NADP (H) reductases (FNRs), and DNA gyrase increased, indicating that derivatives can be toxic to green algae by affecting the photosynthesis of green algae. The mechanism behind the bactericidal effect was also explained from a molecular perspective.
New Nrf2-Inducer Compound ITH12674 Slows the Progression of Retinitis Pigmentosa in the Mouse Model rd10.

BACKGROUND/AIMS It is well established that oxidative stress and inflammation are common pathogenic features of retinal degenerative diseases. ITH12674 is a novel compound that induces the transcription factor Nrf2; in so doing, the molecule exhibits anti-inflammatory, and antioxidant properties, and affords neuroprotection in rat cortical neurons subjected to oxidative stress. We here tested the hypothesis that ITH12674 could slow the retinal degeneration that causes blindness in rd10 mice, a model of retinitis pigmentosa. METHODS Animals were intraperitoneally treated with 1 or 10 mg/Kg ITH12674 or placebo from P16 to P30. At P30, retinal functionality and visual acuity were analyzed by electroretinography and optomotor test. By immunohistochemistry we quantified the photoreceptor rows and analyzed their morphology and connectivity. Oxidative stress and inflammatory state was studied by Western blot, and microglia reactivity was monitored by flow cytometry. The blood-brain barrier permeation of ITH12674 was evaluated using a PAMPA-BBB assay. RESULTS In rd10 mice treated with 10 mg/Kg of the compound, the following changes were observed (with respect to placebo): (i) a decrease of vision loss with higher scotopic a- and b-waves; (ii) increased visual acuity; (iii) preservation of cone photoreceptors morphology, as well as their synaptic connectivity; (iv) reduced expression of TNF-α and NF-κB; (v) increased expression of p38 MAPK and Atg12-Atg5 complex; and (vi) decreased CD11c, MHC class II and CD169 positive cell populations. CONCLUSION These data support the view that a Nrf2 inducer compound may arise as a new therapeutic strategy to combat retinal neurodegeneration. At present, we are chemically optimising compound ITH12674 with the focus on improving its neuroprotective potential in retinal neurodegenerative diseases.
Development of realistic multi-contrast textured XCAT (MT-XCAT) phantoms using a dual-discriminator conditional-generative adversarial network (D-CGAN)

Develop a machine learning-based method to generate multi-contrast anatomical textures in the 4D extended cardiac-torso (XCAT) phantom for more realistic imaging simulations. As a pilot study, we synthesize CT and CBCT textures in the chest region. For training purposes, major organs and gross tumor volumes (GTVs) in chest region were segmented from real patient images and assigned to different HU values to generate organ maps, which resemble the XCAT images. A dual-discriminator conditional-generative adversarial network (D-CGAN) was developed to synthesize anatomical textures in the corresponding organ maps. The D-CGAN was uniquely designed with two discriminators, one trained for the body and the other for the tumor. Various XCAT phantoms were input to the D-CGAN to generate textured XCAT phantoms. The D-CGAN model was trained separately using 62 CT and 63 CBCT images from lung SBRT patients to generate multi-contrast textured XCAT (MT-XCAT). The MT-XCAT phantoms were evaluated by comparing the intensity histograms and radiomic features with those from real patient images using Wilcoxon rank-sum test. The visual examination demonstrated that the MT-XCAT phantoms presented similar general contrast and anatomical textures as CT and CBCT images. The mean HU of the MT-XCAT-CT and MT-XCAT-CBCT were and , compared with that of real CT () and CBCT (). The majority of radiomic features from the MT-XCAT phantoms followed the same distribution as the real images according to the Wilcoxon rank-sum test, except for limited second-order features. The study demonstrated the feasibility of generating realistic MT-XCAT phantoms using D-CGAN. The MT-XCAT phantoms can be further expanded to include other modalities (MRI, PET, ultrasound, etc) under the same scheme. This crucial development greatly enhances the value of the phantom for various clinical applications, including testing and optimizing novel imaging techniques, validation of radiomics analysis methods, and virtual clinical trials.
Association Between Atrial Fibrillation and the Risk of Dementia in the Korean Elderly: A 10-Year Nationwide Cohort Study

Objectives The objective of this study was to determine the effect of atrial fibrillation (AF) on the risk of dementia in the Korean elderly. Methods A 10-year retrospective cohort study was conducted using the National Health Insurance Service-Senior Cohort database. We excluded those who were under 65 years of age as of January 2006 (n=46 113), those who were diagnosed with dementia between 2002 and 2005 (n=9086), and those with a history of stroke prior to AF diagnosis (n=8392). We used a Cox proportional hazards model with a time-varying covariate to determine whether AF is associated with the risk of dementia after adjusting for potential confounders. Results In univariable Cox regression, the hazard ratio (HR) of dementia according to AF status was 1.28 (95% confidence interval [CI], 1.23 to 1.33). After adjusting for potential confounders, AF was found to increase the risk of dementia (HR, 1.12; 95% CI, 1.07 to 1.17), Alzheimer dementia (HR, 1.12; 95% CI, 1.07 to 1.17), and vascular dementia (HR, 1.10; 95% CI, 1.03 to 1.18). In patients diagnosed with AF, the incidence of dementia was lower (HR, 0.50; 95% CI, 0.47 to 0.52) in patients who were treated with oral anticoagulants. Conclusions Investigating the potential risk factors of dementia in an aged society is important. We found a slightly higher risk of dementia in those with AF than in those without AF, and we therefore concluded that AF is a potential risk factor for dementia.
Cumulative Disadvantage: A Psychological Framework for Understanding How Innocence Can Lead to Confession, Wrongful Conviction, and Beyond

False confessions are a contributing factor in almost 30% of DNA exonerations in the United States. Similar problems have been documented all over the world. We present a novel framework to highlight the processes through which innocent people, once misidentified as suspects, experience cumulative disadvantages that culminate in pernicious consequences. The cumulative-disadvantage framework details how the innocent suspect’s naivete and the interrogator’s presumption of guilt trigger a process that can lead to false confession, the aftereffects of which spread to corrupt evidence gathering, bias forensic analysis, and virtually ensure wrongful convictions at trial or through pressured false guilty pleas. The framework integrates nascent research underscoring the enduring effects of the accumulated disadvantages postconviction and even after exoneration. We synthesize findings from psychological science, corroborating naturalistic evidence, and relevant legal precedents to explain how an innocent suspect’s disadvantages can accumulate through the actions of law enforcement, forensic examiners, prosecutors, defense attorneys, judges, juries, and appeals courts. We conclude with prescribed research directions that can lead to empirically driven reforms to address the gestalt of the multistage process.
Severe treatment-refractory T-cell-mediated immune skin toxicities observed with obinutuzumab/rituximab-atezo-pola in two patients with follicular lymphoma

The immune cell microenvironment strongly influences outcome in follicular lymphoma (FL). Checkpoint inhibitors (CPI) and other cancer immunotherapy agents in combination with standard-of-care anti-CD20 antibodies (obinutuzumab [G] or rituximab [R]) are currently being evaluated in FL; a phase 1/2 trial in relapsed/refractory (R/R) FL (BO29561; NCT02729896), is evaluating G or R combined with the anti-programmed death-ligand 1 (PD-L1) antibody, atezolizumab, and the anti-CD79b antibody–drug conjugate, polatuzumab vedotin (G/Ratezo-pola). An ongoing phase 1b study has demonstrated the activity and low rate of immune-mediated toxicities with G-atezo in R/R non-Hodgkin lymphoma. Furthermore, two phase 1b/2 studies in R/R FL and diffuse large B-cell lymphoma (DLBCL) have reported acceptable safety profiles with G-pola. CPI are associated with specific immune-related toxicities that mainly involve the gut, skin, endocrine glands, kidneys, liver and lungs. Guidelines from the American Society of Clinical Oncology suggest that these events are manageable with corticosteroids. Among 13 R/R FL and 21 R/R DLBCL patients treated with G-atezo-pola and R-atezo-pola, respectively, in the BO29561 trial, we present two case reports of R/R FL patients who died while experiencing drug-related toxicity. Patients experienced a constellation of immune toxi-
Curcumin Derivative GT863 Inhibits Amyloid-Beta Production via Inhibition of Protein N-Glycosylation

Amyloid-β (Aβ) peptides play a crucial role in the pathogenesis of Alzheimer’s disease (AD). Aβ production, aggregation, and clearance are thought to be important therapeutic targets for AD. Curcumin has been known to have an anti-amyloidogenic effect on AD. In the present study, we performed screening analysis using a curcumin derivative library with the aim of finding derivatives effective in suppressing Aβ production with improved bioavailability of curcumin using CHO cells that stably express human amyloid-β precursor protein and using human neuroblastoma SH-SY5Y cells. We found that the curcumin derivative GT863/PE859, which has been shown to have an inhibitory effect on Aβ and tau aggregation in vivo, was more effective than curcumin itself in reducing Aβ secretion. We further found that GT863 inhibited neither β- nor γ-secretase activity, but did suppress γ-secretase-mediated cleavage in a substrate-dependent manner. We further found that GT863 suppressed N-linked glycosylation, including that of the γ-secretase subunit nicastrin. We also found that mannosidase inhibitors that block the mannose trimming step of N-glycosylation suppressed Aβ production in a similar fashion, as was observed as a result of treatment with GT863. Collectively, these results suggest that GT863 downregulates N-glycosylation, resulting in suppression of Aβ production without affecting secretase activity.
Influence of heat stress on reference genes stability in heart and liver of two chickens genotypes

Introduction Real-time polymerase chain reaction (RT-qPCR) is an important tool for analyzing gene expression. However, before analyzing the expression of target genes, it is crucial to normalize the reference genes, in order to find the most stable gene to be used as an endogenous control. A gene that remains stable in all samples under different treatments is considered a suitable normalizer. In this sense, we aimed to identify stable reference genes for normalization of target genes in the heart and liver tissues from two genetically divergent groups of chickens (Cobb 500® commercial line and Peloco backyard chickens) under comfort and acute heat stress environmental conditions. Eight reference genes (ACTB, HPRT1, RPL5, EEF1, MRPS27, MRPS30, TFRC and LDHA) were analyzed for expression stability. The samples were obtained from 24 chickens, 12 from the backyard Peloco and 12 from the Cobb 500® line, exposed to two environmental conditions (comfort and heat stress). Comfort temperature was 23°C and heat stress temperature was 39.5°C for one hour. Subsequently, the animals were euthanized, and heart and liver tissue fragments were collected for RNA extraction and amplification. To determine the stability rate of gene expression, three different statistical algorithms were applied: BestKeeper, geNorm and NormFinder, and to obtain an aggregated stability list, the RankAgregg package of R software was used. Results The most stable genes using BestKeeper tool, including the two factors (genetic group and environmental condition), were LDHA, RPL5 and MRPS27 for heart tissue, and TFRC, RPL5 and EEF1 for liver tissue. Applying geNorm algorithm, the best reference genes were RPL5, EEF1 and MRPS30 for heart tissue and LDHA, EEF1 and RPL5 for liver. Using the NormFinder algorithm, the best normalizer genes were EEF1, RPL5 and LDHA in heart, and EEF1, RPL5 and ACTB in liver tissue. In the overall ranking obtained by RankAggreg package, considering the three algorithms, the RPL5, EEF1 and LDHA genes were the most stable for heart tissue, whereas RPL5, EEF1 and ACTB were the most stable for liver tissue. Conclusion According to the RankAggreg tool classification based on the three different algorithms (BestKeeper, geNorm and NormFinder), the most stable genes were RPL5, EEF1 and LDHA for heart tissue and RPL5, EEF1 and ACTB for liver tissue of chickens subjected to comfort and acute heat stress environmental conditions. However, the best reference genes may vary depending on the experimental conditions of each study, such as different breeds, environmental stressors, and tissues analyzed. Therefore, the need to perform priori studies to assay the best reference genes at the outset of each study is emphasized.
Quantitative Indocyanine Green Fluorescence Imaging Used to Predict Anastomotic Leakage Focused on Rectal Stump During Laparoscopic Anterior Resection.

Background: Anastomotic leakage (AL) is arguably the most troublesome complication of anterior resection (AR). In recent years, however, indocyanine green (ICG) fluorescence imaging has been recently used to evaluate blood flow in the anastomosis site, and it has been suggested that AL may be predicted. We reported the effectiveness of predicting AL in colorectal cancer surgery by observing a quantitative laparoscopic ICG fluorescence imaging for the first time. The purpose of this study was to predict the risk of postoperative AL by quantitative laparoscopic ICG fluorescence imaging focused on the rectal stamp, which is one of the major causes of AL in AR, and to construct diverting stoma (DS) only in appropriate cases. Methods: We studied the 25 patients who underwent elective laparoscopic AR for rectal cancer at our hospital between July 2016 and June 2017. Before enforcing double-stapling technique anastomosis, we injected ICG intravenously, and laparoscopically evaluated blood flow on the rectal stump. We analyzed quantitatively the relationship between various parameters and AL. Results: Median T0, from when the ICG was injected intravenously and the ICG disappeared from the injection route to the rise of the histogram of intensity, in AL group was significantly longer than that in non-AL group (P = .03). There were no other significant differences between AL and non-AL groups. Conclusions: T0 was longer in patients with AL than in those without. If prolonged T0 can be recognized intraoperatively, it will be possible to construct DS for appropriate patients only.