Maltodextrin vitamin E succinate: A novel antioxidant emulsifier for formulating functional nanoemulsions.

A new multifunctional emulsifier was synthesized by coupling maltodextrin with a dextrose equivalent of 19 to vitamin E succinate. Two emulsifiers with varying degrees of vitamin E succinate substitution were prepared based on different mass ratios of vitamin E succinate to maltodextrin. The molecular structure and purity of these emulsifiers were analyzed.

The prognostic role of F-FDG PET/CT-based response evaluation in children with stage 4 neuroblastoma.

Objectives: To evaluate the association between metabolic response on F-FDG PET/CT and long-term survival in children with neuroblastoma (NB).

Methods: A total of 39 consecutive children with newly diagnosed stage 4 NB undergoing both F-FDG PET/CT imaging at baseline and after chemotherapy were retrospectively analyzed. The associations between metabolic parameters, including SUVmax of the lesion with the most intense F-FDG uptake at baseline (SUVb), after chemotherapy (SUVe), and the percentage change between SUVb and SUVe, and long-term survival were evaluated.

Oxygen-Deficient FeNbO In-Situ Growth in Honey-Derived N-Doping Porous Carbon for Overall Water Splitting.

It is still a great challenge to reasonably design green, low cost, high activity and good stability catalysts for overall water splitting (OWS). Here, we introduce a novel catalyst with ferric niobate (FeNbO) in-situ growing in honey-derived porous carbon of high specific surface area, and its catalytic activity is further enhanced by micro-regulation (oxygen vacancy and N-doping). From the experimental results and density functional theory (DFT) calculations, the oxygen vacancy in catalyst FeNbO@NC regulates the local charge density of active site, thus increasing conductivity and optimizing hydrogen/oxygen species adsorption energy.

A fully automatic deep learning-based method for segmenting regions of interest and predicting renal function in pediatric dynamic renal scintigraphy.

Objective: Accurate delineation of renal regions of interest (ROIs) is critical for the assessment of renal function in pediatric dynamic renal scintigraphy (DRS). The purpose of this study was to develop and evaluate a deep learning (DL) model that can fully automatically delineate renal ROIs and calculate renal function in pediatric Technetium-ethylenedicysteine (Tc-EC) DRS.

Methods: This study retrospectively analyzed 1,283 pediatric DRS data at a single center from January to December 2018.

Evaluation of therapeutic effect and prognostic value of F-FDG PET/CT in different treatment nodes of DLBCL patients.

Background: In the present study, we aimed to investigate the role of baseline (B), interim (I) and end-of-treatment (Eot) F-FDG PET/CT in assessing the prognosis of diffuse large B cell lymphoma (DLBCL), so as to identify patients who need intensive treatment at an early stage.

Methods: A total of 127 DLBCL patients (62 men; 65 women; median age 62 years) were retrospectively analyzed in this study. Baseline (n = 127), interim (n = 127, after 3-4 cycles) and end-of-treatment (n = 53, after 6-8 cycles) PET/CT images were re-evaluated; semi-quantitative parameters such as maximum standardized uptake value of lesion-to-liver ratio (SUVmax) and lesion-to-mediastinum ratio (SUVmax), total metabolic tumor volume (TMTV) and total metabolic tumor volume (TLG) were recorded.

Improved physicochemical stability of fish oil nanoemulsion via a dense interfacial layer formed by hyaluronic acid-poly(glyceryl)10-stearate.

This study aimed to synthesize a novel emulsifier, hyaluronic acid-poly(glyceryl)10-stearate (HA-PG10-C18), and employ it for the fabrication of nanoemulsions incorporating deep-sea fish oil to improve their apparent solubility and physicochemical stability. H NMR and FT-IR analyses indicated successful synthesis of HA-PG10-C18. Nanoemulsions of deep-sea fish oil loaded with HA-PG10-C18 (HA-PG10-C18@NE) were successfully fabricated by ultrasonic emulsification.

How to use BAPV to alleviate the urban heat island effect: An evolutionary game perspective.

In recent years, the phenomenon of the urban heat island caused by the rapid development of cities is very serious. To solve the problem of the urban heat island, this study proposed a PPP project consisting of the government (GOVT), photovoltaic investment company (PVIC), and residential customers (RS). Based on an evolutionary game model and combined with current policies and industry regulations in China, the evolution process and stable evolution strategies were studied.

Kinematic target surface sensing based on improved deep optical flow tracking.

Reconstruction of moving target surfaces based on active image sensing techniques, such as phase-shifting profilometry, has attracted intensive research in recent years. The measurement error caused by object motion can be addressed successfully by tracking the object movement. However, it either requires high-cost color imaging equipment or is limited by the assumption of 2D translation movement.

Concordance and Clinical Significance of Genomic Alterations in Progressive Tumor Tissue and Matched Circulating Tumor DNA in Aggressive-variant Prostate Cancer.

Unlabelled: Sequencing of circulating tumor DNA (ctDNA) is a minimally invasive approach to reveal the genomic alterations of cancer; however, its comparison with sequencing of tumor tissue has not been well documented in real-world patients with aggressive-variant prostate cancer (AVPC). Concordance of genomic alterations was assessed between progressive tumor tissue and matched ctDNA by next-generation sequencing for 63 patients with AVPC. Associations of genomic alterations with progression-free survival (PFS) and overall survival (OS) were investigated using Kaplan-Meier and Cox regression analyses.

An Augmented Sample Selection Framework for Prediction of Anticancer Peptides.

Anticancer peptides (ACPs) have promising prospects for cancer treatment. Traditional ACP identification experiments have the limitations of low efficiency and high cost. In recent years, data-driven deep learning techniques have shown significant potential for ACP prediction.

An F-MD-PSMA (Multi-dentate PMSA Imaging Agent) PET/CT in Prostate Cancer Relapse: Results of a Retrospective Trial.

Purpose: This study aimed to evaluate the performance of 18F-MD-PSMA PET/CT in patients previously treated for prostate cancer by either surgery or therapy, but later relapsed biochemically.

Methods: This retrospective study enrolled 213 patients in sequence previously treated for prostate cancer by either surgery or therapy, but later PSA relapsed. A total of 191 of these 213 patients were included in this analysis.

The value of [18F]FDG PET/CT in avoiding overtreatment of 131l avidity pulmonary metastasis of differentiated thyroid cancer.

Introduction: We usually use 131I-whole body scan (131I-WBS) and serum thyroglobulin (Tg) values to determine whether differentiated thyroid cancer (DTC) patients need to receive 131I treatment, but not all ¹³¹I-avid (functioning) patients have a good response to ¹³¹I therapy. Our study aims to assess the data of [¹⁸F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography ([¹⁸F] FDG PET/CT) to research the status of 131I-avid pulmonary metastases (PMs) and the prognosis of the patients.

Material And Methods: The 131I-avid PMs of DTC patients who underwent [18F]FDG PET/CT scans were included.

HHEX suppresses advanced thyroid cancer by interacting with TLE3.

Haematopoietically Expressed Homeobox (HHEX) gene is highly expressed in the thyroid gland and plays critical roles in the development and differentiation of the thyroid gland. While it has been indicated to be downregulated in thyroid cancer, its function and the underlying mechanism remain unclear. Herein, we observed low expression and aberrant cytoplasmic localization of HHEX in thyroid cancer cell lines.

A Semi-Supervised Speech Deception Detection Algorithm Combining Acoustic Statistical Features and Time-Frequency Two-Dimensional Features.

Human lying is influenced by cognitive neural mechanisms in the brain, and conducting research on lie detection in speech can help to reveal the cognitive mechanisms of the human brain. Inappropriate deception detection features can easily lead to dimension disaster and make the generalization ability of the widely used semi-supervised speech deception detection model worse. Because of this, this paper proposes a semi-supervised speech deception detection algorithm combining acoustic statistical features and time-frequency two-dimensional features.

Dual role of polyglycerol vitamin E succinate in emulsions: An efficient antioxidant emulsifier.

α-Tocopherol, as an oil-soluble vitamin with strong antioxidant activity. It is the most naturally abundant and biologically active form of vitamin E in humans. In this study, a novel emulsifier (PG20-VES) was synthesized by attaching hydrophilic twenty-polyglycerol (PG20) to hydrophobic vitamin E succinate (VES).

A Fe(SO)-assisted approach towards green synthesis of cuttlefish ink-derived carbon nanospheres for high-performance supercapacitors.

The conversion of renewable biomass resources into advanced electrode materials through green, simple, and economical methods has become an important research direction in energy storage. In this study, Fe-decorated N/S-codoped porous carbon nanospheres have been successfully fabricated from cuttlefish ink through Fe(SO)-assisted hydrothermal carbonization coupled with heat treatment. The effects of Fe(SO) dosage on the structure, chemical composition, and capacitive property of carbon nanospheres were investigated.

Cross-Corpus Speech Emotion Recognition Based on Multi-Task Learning and Subdomain Adaptation.

To solve the problem of feature distribution discrepancy in cross-corpus speech emotion recognition tasks, this paper proposed an emotion recognition model based on multi-task learning and subdomain adaptation, which alleviates the impact on emotion recognition. Existing methods have shortcomings in speech feature representation and cross-corpus feature distribution alignment. The proposed model uses a deep denoising auto-encoder as a shared feature extraction network for multi-task learning, and the fully connected layer and softmax layer are added before each recognition task as task-specific layers.

Three-dimensional genome landscape comprehensively reveals patterns of spatial gene regulation in papillary and anaplastic thyroid cancers: a study using representative cell lines for each cancer type.

Background: Spatial chromatin structure is intricately linked with somatic aberrations, and somatic mutations of various cancer-related genes, termed co-mutations (CoMuts), occur in certain patterns during cancer initiation and progression. The functional mechanisms underlying these genetic events remain largely unclear in thyroid cancer (TC). With discrepant differentiation, papillary thyroid cancer (PTC) and anaplastic thyroid cancer (ATC) differ greatly in characteristics and prognosis.

Porous biscuit-like nanoplate FeNbO@C for lithium-ion storage and oxygen evolution.

The development of efficient and stable electrode materials for lithium-ion batteries (LIBs) and the oxygen evolution reaction (OER) is critical for clean and sustainable energy storage and conversion. In this work, porous biscuit-like nanoplate FeNbO@C is reasonably prepared by morphology control and microstructure modification, and presents many advantages in LIBs and the OER. In particular, FeNbO@C displays a large specific surface area, abundant active sites and a significant edge effect, thus improving the Li reactivity and OER kinetics.

Improved risk stratification by PET-based intratumor heterogeneity in children with high-risk neuroblastoma.

Purpose: The substratification of high-risk neuroblastoma is challenging, and new predictive imaging biomarkers are warranted for better patient selection. The aim of the study was to evaluate the prognostic role of PET-based intratumor heterogeneity and its potential ability to improve risk stratification in neuroblastoma.

Methods: Pretreatment F-FDG PET/CT scans from 112 consecutive children with newly diagnosed neuroblastoma were retrospectively analyzed.

Cross-Corpus Speech Emotion Recognition Based on Transfer Learning and Multi-Loss Dynamic Adjustment.

In this paper, we do research on cross-corpus speech emotion recognition (SER), in which the training and testing speech signals come from different speech corpus. The mismatched feature distribution between the training and testing sets makes many classical algorithms unable to achieve better results. To deal with this issue, a transfer learning and multi-loss dynamic adjustment (TLMLDA) algorithm is initiatively proposed in this paper.

Multi-Stream Convolution-Recurrent Neural Networks Based on Attention Mechanism Fusion for Speech Emotion Recognition.

The quality of feature extraction plays a significant role in the performance of speech emotion recognition. In order to extract discriminative, affect-salient features from speech signals and then improve the performance of speech emotion recognition, in this paper, a multi-stream convolution-recurrent neural network based on attention mechanism (MSCRNN-A) is proposed. Firstly, a multi-stream sub-branches full convolution network (MSFCN) based on AlexNet is presented to limit the loss of emotional information.

N,S co-doped VNbO@C fibers used for lithium-ion storage.

Bimetallic oxides deliver high specific capacity in energy storage, but their disadvantages, such as poor electrical conductivity, low ion diffusion rate and interatomic instability, limit their application. In this work, lattice defects (N,S co-doping) and carbon interfaces are introduced into S-VNbO@NC nanofibers to improve the electron/ion kinetic stability, electrical conductivity and electrochemical activity. Firstly, the lattice defects constructed by N,S co-doping produce more unmatched electrons, widen the lattice channels of S-VNbO@NC, provide more active sites, improve the material affinity to the electrolyte and enhance its electron/ion transport kinetics.

F-DCFPyL PET/CT in Newly Diagnosed Prostate Cancer: Diagnostic Value of Intraprostatic PSMA Uptake in Risk Classification of Prostate Cancer.

Purpose: F-DCFPyL prostate-specific membrane antigen (PSMA) PET/CT is commonly applied to locate lesions of prostate cancer (PCa), but its diagnostic function of quantitative parameters is ignored. Our study evaluates the parameters of intraprostatic PSMA uptake in patients newly diagnosed with PCa and explores their predictive value in risk classification, which is similar to D'Amico criteria.

Materials And Methods: We quantified the maximal standardized uptake value (SUVmax), mean SUV (SUVmean), total lesion (TL)-PSMA, prostate/muscle (P/M) ratio of the primary tumor, and PSMA-derived tumor volume (PSMA-TV) from 62 patients with histologically proven PCa.