Tumor and metastatic lymph nodes metabolic activity on F-FDG-PET/CT to predict progression-free survival in locally advanced cervical cancer.

Objective: The present study investigated the predictive diseases progression value of preoperative fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in patients with local advanced cervical cancer (LACC).

Methods: In total, 267 patients [median age 58 (range: 27-85) years old] with LACC underwent F-FDG PET/CT prior to any treatment. The maximum standardized uptake values (SUV), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary lesion and metastatic lymph nodes were measured on PET/CT and correlated with clinicopathological features and progression-free survival (PFS).

Progression of radio-labeled molecular imaging probes targeting chemokine receptors.

Chemokine receptors are significantly expressed in the surface of most inflammatory cells and tumor cells. Guided by chemokines, inflammatory cells which express the relevant chemokine receptors migrate to inflammatory lesions and participate in the evolution of inflammation diseases. Similarly, driven by chemokines, immune cells infiltrate into tumor lesions not only induces alterations in the tumor microenvironment, disrupting the efficacy of tumor therapies, but also has the potential to selectively target tumoral cells and diminish tumor progression.

Nanoarchitectonics on residual carbon from gasification fine slag upon two step low temperature activation for application in supercapacitors.

In this paper, the carbon electrode materials were prepared by the KOH-HNO low-temperature activation technique using cheap residual carbon from gasification fine slag (CK) as raw materials. The results showed that the prepared material (CKN-2) which obtained by dry-wet sequential activation at 500°C for 1.5 h at carbon to KOH ratio of 1:2 and further at 80°C for 1 h in 2 mol/L HNO solution.

Learning-Based IRS-Assisted Secure Transmission for Mine IoTs.

Mine Internet of Things (MIoT) devices in intelligent mines often face substantial signal attenuation due to challenging operating conditions. The openness of wireless communication also makes it susceptible to smart attackers, such as active eavesdroppers. The attackers can disrupt equipment operations, compromise production safety, and exfiltrate sensitive environmental data.

Retrospective Analysis of the Predictive Value of F-FDG PET/CT Metabolic Parameters for PD-L1 Expression in Cervical Cancer.

Background: Immunotherapy targeting PD-1/PD-L1 has been proven to be effective for cervical cancer treatment. To explore non-invasive examinations for assessing the PD-L1 status in cervical cancer, we performed a retrospective study to investigate the predictive value of F-FDG PET/CT.

Methods: The correlations between PD-L1 expression, clinicopathological characteristics and F-FDG PET/CT metabolic parameters were evaluated in 74 cervical cancer patients.

Catalytic Pyrolysis of Sawdust with Desulfurized Fly Ash for Pyrolysis Gas Upgrading.

In this study, the catalytic effects of desulfurized fly ash (DFA) on the gaseous products of sawdust (SD) pyrolysis were investigated in a tubular furnace. The results indicated that DFA catalyzed the process of SD decomposition to improve the hydrogen content and the calorific value of pyrolysis gas. As to its effect on pyrolysis products, DFA increased the non-oxide content of CH, CH, and H in pyrolysis gas by 1.

Water Quality Prediction Based on SSA-MIC-SMBO-ESN.

Water pollution threatens the safety of human production and life. To quickly respond to water pollution, it is important for water management staff to predict water quality changes in advance. Drawing on the temporality of water quality data, the leaky integrator echo state network (ESN) was introduced to construct the water quality prediction models for dissolved oxygen (DO), permanganate index (CODMn), and total phosphorus (TP), respectively.

Metabolic activity via F-FDG PET/CT is predictive of microsatellite instability status in colorectal cancer.

Purpose: Identification of microsatellite instability high (MSI-H) colorectal cancer (CRC) is crucial for screening patients most likely to benefit from immunotherapy. We aim to investigate whether the metabolic characteristics is related to MSI status and can be used to predict the MSI-H CRC.

Methods: A retrospective analysis was conducted on 420 CRC patients who were identified via [F]fluorodeoxyglucose (F-FDG) positron emission tomography (PET)/computed tomography(CT) prior to therapy.

Transmission of SARS-CoV-2 on Cold-Chain Food: Precautions Can Effectively Reduce the Risk.

The COVID-19 pandemic has generated a new era in the world, also in the food safety. Up to now, there is no evidence to suggest that people can infect COVID-19 via food contaminated by SARS-CoV-2. Here, we analyzed the results of regular SARS-CoV-2 nucleic acid testing of considerable cold-chain food practitioners, cold-chain food surfaces, and their internal or external packaging as well as their associated environments, aiming to explore the risk of cold-chain food being contaminated by SARS-CoV-2 and the probability of people infecting COVID-19 through contaminated cold-chain food in the context of COVID-19 epidemic.

Ultra-thin graphene cube framework@TiO heterojunction as high-performance anode materials for lithium ion batteries.

Here, we proposed a new strategy to build the integrated graphene cube (Gr) framework@TiO composite to improve the ion transport kinetics and electrical conductivity of TiO as a long-life and high-capacity anode for lithium ion batteries. Combined with the salt template method for ultra-thin framework, the distinct structure of Gr@TiO shows an excellent electrochemical performance, e.g.

Prediction of product yields using fusion model from Co-pyrolysis of biomass and coal.

This study aimed to establish a self-corrective machine learning model base on co-pyrolysis data of biomass and coal. Proximate and ultimate analysis of raw materials were chosen as input parameters. Radial basis function (RBF), support vector machine (SVM), and random forest (RF) were used to build the base regression models for the fusion (FU) model.

A 3D-2D Convolutional Neural Network and Transfer Learning for Hyperspectral Image Classification.

As one of the fast evolution of remote sensing and spectral imagery techniques, hyperspectral image (HSI) classification has attracted considerable attention in various fields, including land survey, resource monitoring, and among others. Nonetheless, due to a lack of distinctiveness in the hyperspectral pixels of separate classes, there is a recurrent inseparability obstacle in the primary space. Additionally, an open challenge stems from examining efficient techniques that can speedily classify and interpret the spectral-spatial data bands within a more precise computational time.

Pseudotext Injection and Advance Filtering of Low-Resource Corpus for Neural Machine Translation.

Scaling natural language processing (NLP) to low-resourced languages to improve machine translation (MT) performance remains enigmatic. This research contributes to the domain on a low-resource English-Twi translation based on filtered synthetic-parallel corpora. It is often perplexing to learn and understand what a good-quality corpus looks like in low-resource conditions, mainly where the target corpus is the only sample text of the parallel language.

Discriminated sgRNAs-Based SurroGate System Greatly Enhances the Screening Efficiency of Plant Base-Edited Cells.

The development of CRISPR/Cas9-mediated base editing has made genomic modification more efficient. However, selection of genetically modified cells from millions of treated cells, especially plant cells, is still challenging. In this study, an efficient surrogate reporter system based on a defective hygromycin resistance gene was established in rice to enrich base-edited cells.

A FDG PET/CT-based volume parameter is a predictor of overall survival in patients with local advanced gastric cancer.

Objective: The present study investigated the prognosis value of preoperative fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in patients with local advanced gastric cancer (LAGC).

Methods: In total, 144 patients [median age 63 (range: 48-80) years old] with LAGC underwentF-FDG PET/CT prior to any treatment. The maximum standardized uptake values (SUV), mean standardized uptake values (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of the primary lesion were measured on PET/CT and correlated with clinicopathological features and survival.

Increasing Cytosine Base Editing Scope and Efficiency With Engineered Cas9-PmCDA1 Fusions and the Modified sgRNA in Rice.

Base editors that do not require double-stranded DNA cleavage or homology-directed repair enable higher efficiency and cleaner substitution of targeted single nucleotides in genomic DNA than conventional approaches. However, their broad applications are limited within the editing window of several base pairs from the canonical NGG protospacer adjacent motif (PAM) sequence. In this study, we fused the D10A nickase of several Cas9 (SpCas9) variants with cytidine deaminase 1 (PmCDA1) and uracil DNA glycosylase inhibitor (UGI) and developed two new effective PmCDA1-based cytosine base editors (pBEs), SpCas9 nickase (SpCas9n)-pBE and VQR nickase (VQRn)-pBE, which expanded the scope of genome targeting for cytosine-to-thymine (C-to-T) substitutions in rice.

The correlation between molecular pathological profiles and metabolic parameters of F-FDG PET/CT in patients with gastroesophageal junction cancer.

Objective: The aim of this study was to evaluate PET/FDG metabolic parameters in locally advanced GEJC and correlate it with molecular pathological profiles.

Methods: We retrospectively analyzed data from 66 patients with a histopathological diagnosis of GEJC who had undergone F-FDG PET/CT before surgical resection. Maximum standardized uptake (SUV), mean standardized uptake (SUV), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary tumor were measured and calculated using the region of interest (ROI) technique.

CeO nanorods anchored on mesoporous carbon as an efficient catalyst for imine synthesis.

CeO nanorods anchored on mesoporous carbon exhibit high activity and stability in aerobic oxidative coupling of alcohols and amines to imines. The abundant surface Ce and the suitable interaction between CeO nanorods and the carbon support should be responsible for the excellent catalytic behaviors.

Electroacupuncture relieves labour pain and influences the spinal dynorphin/κ-opioid receptor system in rats.

Background: The dynorphin (DYN)/κ-opioid receptor (KOR) system plays a key role in the control of labour pain. Our previous clinical study reported that electroacupuncture (EA) provided intrapartum analgesia, but the underlying mechanisms of action have not been fully elucidated.

Aims: To observe the effect of EA on labour pain and to explore the underlying mechanisms of action in a rat model.

Reversible photoresponsive switching in Bi(2.5)Na(0.5)Nb(2)O(9)-based luminescent ferroelectrics.

Reversible luminescence modulation upon photochromic reactions with excellent reproducibility was achieved from Eu(3+) doped Bi2.5Na0.5Nb2O9 multifunctional ferroelectrics.

[Reversal of resistance to adriamycin in human breast cancer cell line MCF-7/ADM by silencing AEG-1 gene and its mechanism].

The aim of this study was to investigate the effects of AEG-1 gene silencing on the chemoresistance of human breast cancer cell line MCF-7/ADM and its possible mechanism. MCF-7/ADM cells were incubated in the medium containing adriamycin (ADM). The recombinant pLKO.

Quercetin reversed lipopolysaccharide-induced inhibition of osteoblast differentiation through the mitogen‑activated protein kinase pathway in MC3T3-E1 cells.

Quercetin, a flavonoid found in onions and other vegetables, has potential inhibitory effects on bone resorption in vivo and in vitro. In our previous study it was identified that quercetin triggered the apoptosis of lipopolysaccharide (LPS)‑induced osteoclasts and inhibited bone resorption. Currently, little information is available detailing the effect of quercetin on osteoblast differentiation and bone formation in bacteria‑induced inflammatory diseases.

Lipopolysaccharide (LPS) induces the apoptosis and inhibits osteoblast differentiation through JNK pathway in MC3T3-E1 cells.

Bone degradation is a serious complication of chronic inflammatory diseases such as septic arthritis, osteomyelitis, and infected orthopedic implant failure. Up to date, effective therapeutic treatments for bacteria-caused bone destruction are limited. In our previous study, we found that LPS promoted osteoclast differentiation and activity through activation of mitogen-activated protein kinases (MAPKs) pathway such as c-Jun N-terminal kinases (JNK) and extracellular signal regulated kinase (ERK1/2).