bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved Survival After Multidisciplinary Team Decision-Making for Patients with Advanced Gastrointestinal Cancer: A Multicenter, Prospective, Noninterventional, Controlled Study
Authors: Zhang Qi , Zhou Ye , Song Lijie , Fang Weijia , Qiu Meng , Gu Yanhong , Yang Yang , Zhang Jingdong , Liu Jing , Lu Ming , Gong Tianxiao , Wang Xin , Li Yan , Yang Jun , Ye Yingjiang , Shen Lin , Li Jian 
Published: December 2021

Abstract
BackgroundFormal multidisciplinary team (MDT) discussions in clinical practice require time and space with unclear survival benefits for advanced gastrointestinal patients. This study aimed to investigate the long-term survival of patients with advanced gastrointestinal cancer after multidisciplinary team (MDT) decision-making.Materials and MethodsFrom June 2017 to June 2019, continuous MDT discussions on advanced gastrointestinal cancer were conducted in ten medical centers in China. MDT decisions and actual treatment received by patients were prospectively recorded. The primary endpoint was the difference in overall survival (OS) between patients in MDT decision implementation and nonimplementation groups. The secondary endpoints included the implementation rate of MDT decisions and subgroup survival analysis. ResultsA total of 461 MDT decisions of 455 patients were included in this study. The implementation rate of MDT decisions was 85·7%. Sex and previous treatment had an impact on MDT decision-making. The OS was 24·0 months and 17·0 months, respectively, in MDT decision implementation and nonimplementation groups. The implementation of MDT decisions significantly reduced the risk of death in the univariate analysis. The subgroup analysis showed a significant difference in survival analysis of patients with colorectal cancer, but no significant difference was found in patients with gastric cancer. The rate of secondary MDT discussion was very low. ConclusionMDT discussion can prolong the OS of patients with advanced gastrointestinal cancer, especially colorectal cancer. Scheduling of the next MDT discussion in time is necessary when the disease condition changes.
Updating Knowledge in The Estimation of The Genetics Parameters Multi-trait and Multi-Environment Bayesian Analysis in Rice (Oryza Sativa L.)
Authors: Azevedo Camila Ferreira , Barreto Cynthia , Suela Matheus , Nascimento Moysés , Júnior Antônio Carlos , Nascimento Ana Carolina , Cruz Cosme , Soares Plínio 
Published: December 2021

Abstract
Among the multi-trait models used to jointly study several traits and environments, the Bayesian framework has been a preferable tool for using a more complex and biologically realistic model. In most cases, the non-informative prior distributions are adopted in studies using the Bayesian approach. Still, the Bayesian approach tends to present more accurate estimates when it uses informative prior distributions. The present study was developed to evaluate the efficiency and applicability of multi-trait multi-environment (MTME) models under a Bayesian framework utilizing a strategy for eliciting informative prior distribution using previous data from rice. The study involved data pertained to rice genotypes in three environments and five agricultural years (2010/2011 until 2014/2015) for the following traits: grain yield (GY), flowering in days (FLOR) and plant height (PH). Variance components and genetic and non-genetic parameters were estimated by the Bayesian method. In general, the informative prior distribution in Bayesian MTME models provided higher estimates of heritability and variance components, as well as minor lengths for the highest probability density interval (HPD), compared to their respective non-informative prior distribution analyses. The use of more informative prior distributions makes it possible to detect genetic correlations between traits, which cannot be achieved with the use of non-informative prior distributions. Therefore, this mechanism presented for updating knowledge to the elicitation of an informative prior distribution can be efficiently applied in rice genetic selection.
Multimodality MRI-Based Radiomics For Aggressiveness Prediction In Papillary Thyroid Cancer
Authors: Dai Zedong , Wei Ran , Wang Hao , Hu Wenjuan , Sun Xilin , Zhu Jie , Li Hong , Ge Yaqiong , Song Bin 
Published: December 2021

Abstract
Objective: To investigate the ability of a multimodality MRI-based radiomics model in predicting the aggressiveness of papillary thyroid carcinoma (PTC).Methods: This study included consecutive patients who underwent neck magnetic resonance (MR) scans and subsequent thyroidectomy during the study period. The pathological diagnosis of thyroidectomy specimens was the gold standard to determine the aggressiveness. Thyroid nodules were manually segmented on three modal MR images, and then radiomics features were extracted. A machine learning model was established to evaluate the prediction of PTC aggressiveness.Results: The study cohort included 107 patients with PTC confirmed by pathology (training cohort: n = 71; test cohort: n = 36). A total of 1584 features were extracted from contrast-enhanced T1-weighted (CE-T1 WI), T2-weighted (T2 WI) and diffusion weighted (DWI) images of each patient. Sparse representation method is used for radiation feature selection and classification model establishment. The accuracy of the independent test set that using only one mode, like CE-T1WI, T2WI or DWI was not particularly satisfactory. In contrast, the result of these three modes combined achieved 0.917.Conclusion: Our study shows that multimodality MR image based on radiomics model can accurately distinguish aggressiveness in PTC from non-aggressiveness PTC before operation. This method may be helpful to inform the treatment strategy and prognosis of patients with aggressiveness PTC.
Confocal Microscopy in Conjunction With Haemocytometry to Evaluate the Imperative Physical Characteristics of Multicellular Tumor Spheroids
Authors: RAHMAN Aziz UR 
Published: December 2021

Abstract
Background: Tumor tissues resist penetration of therapeutic molecules. Multicellular tumor spheroids (MCTSs) were used as an in vitro tumor model. The aim of this study was to determine the growth of MCTSs with the age of spheroids, which could be applied and compared with in vivo drug uptake and penetration. Method: Spheroids were generated by liquid overlay techniques, and their diameter was measured by confocal microscopy for up to two weeks. The trypan blue exclusion method was used to count dead and live cells separately via a hemocytometer. Results: The pentaphysical characteristics of spheroids, including diameter, cell number, volume per cell, viability status, and estimated shell of viable and core of dead cells, were determined. The growth of spheroids was linear over the first week but declined in the 2nd week, which may be due to an overconcentration of dead cells and degraded products inside the spheroids, hence lowering the ratio of live cells in spheroids. Compaction of spheroids occurs from day 3 to day 7, with the mature spheroids having a low amount of extracellular space compared to intracellular volume. Conclusion: Age-oriented growth of MCTSs provides a rationale to predict less rapid penetration as spheroids get older and could be correlated with in vivo tumors to predict pharmaceutical and therapeutic intervention.
Assessment of Genetic Diversity, Population Structure and Phytochemical Variations in Polygonatum Cirrhifolium (Wall.) Royle - An Endangered Medicinal Herb
Authors: Suyal Renu , Jugran Arun K. , Bhatt Indra D. , Rawal Ranbeer S. 
Published: December 2021

Abstract
Polygonatum cirrhifolium is an important medicinal herb of family Asparagaceae used to cure several ailments. Its rhizome forms an important ingredient of “Chyavanprash” which is identified for its rejuvenating properties. However, P.cirrhifolium is least explored scientifically and systematically till date. Therefore, in this study genetic diversity and phytochemical variations along with antimutagenic activity of P.cirrhifolium populations was evaluated. Antimutagenic activity varied remarkably (p<0.05) having Gagar population with significantly (p<0.05) higher DNA recovery (84.95%) percentage. Higher genetic diversity (He) was recorded among populations using RAPD (He, 0.30-0.36) and ISSR (0.25-0.38) markers. High intra and low inter population variations were recorded in the species using both kinds of markers. Phenolics (p<0.05; r=0.924); tannins (p<0.05; r=0.897) and DNA damage inhibition efficiency displayed a highly positive correlation with genetic diversity (estimated using ISSR markers). The population structure analysis of P. cirrhifolium revealed that the greatest value of the K was 3 for studied populations. Gene flow among studied populations was found sufficient to encounter genetic erosion in the species. Therefore, it can be recommended that the populations with higher ingredient and genetic diversity can be utilized for conservation priority and management plan of this species.
Estimating the Local Burden of Disease During the First Wave of the COVID-19 Epidemic in England, Using Different Data Sources from Changing Surveillance Practices
Authors: Nightingale Emily S , Abbott Sam , Russell Timothy W , Lowe Rachel , Medley Graham F , Brady Oliver J 
Published: December 2021

Abstract
Background The COVID-19 epidemic has differentially impacted communities across England, with regional variation in rates of confirmed cases, hospitalisations and deaths. Measurement of this burden changed substantially over the first months, as surveillance was expanded to accommodate the escalating epidemic. Laboratory confirmation was initially restricted to clinical need (“pillar 1”) before expanding to community-wide symptomatics (“pillar 2”). This study aimed to ascertain whether inconsistent measurement of case data resulting from varying testing coverage could be reconciled by drawing inference from COVID-19-related deaths. MethodsWe fit a Bayesian spatio-temporal model to weekly COVID-19-related deaths per local authority (LTLA) throughout the first wave (1 January - 30 June 2020), adjusting for the local epidemic timing and the age, deprivation and ethnic composition of its population. We combined predictions from this model with case data under community-wide, symptomatic testing and infection prevalence estimates from the ONS infection survey, to infer the likely trajectory of infections implied by the deaths in each LTLA.ResultsA model including temporally- and spatially-correlated random effects was found to best accommodate the observed variation in COVID-19-related deaths, after accounting for local population characteristics. Predicted case counts under community-wide symptomatic testing suggest a total of 275,000-420,000 cases over the first wave - a median of over 100,000 additional to the total confirmed in practice under varying testing coverage. This translates to a peak incidence of around 200,000 total infections per week across England. The extent to which estimated total infections are reflected in confirmed case counts was found to vary substantially across LTLAs, ranging from 7% in Leicester to 96% in Gloucester with a median of 23%. ConclusionsLimitations in testing capacity biased the observed trajectory of COVID-19 infections throughout the first wave. Basing inference on COVID-19-related mortality and higher-coverage testing later in the time period, we could explore the extent of this bias more explicitly. Evidence points towards substantial under-representation of initial growth and peak magnitude of infections nationally, to which different parts of the country contribute unequally.
Transmission-selective muscle pathology induced by active propagation of mutant huntingtin across the human neuromuscular synapse
Authors: Dinamarca Margarita , Colombo Laura , Brykczynska Urszula , Grimm Amandine , Tousiaki Natalia , Fruh Isabelle , Imtiaz Hossain , Gabriel Daniela , Eckert Anne , Müller Matthias , Pecho-Vrieseling Eline 
Published: December 2021

Abstract
A potential explanation for the spatiotemporal accumulation of pathological lesions in the brain of patients with neurodegenerative protein misfolding diseases (PMDs) is cell-to-cell transmission of aggregation-prone, misfolded proteins. Little is known about central to peripheral transmission and its contribution to pathology. We show that transmission of Huntington’s disease- (HD-) associated mutant HTT exon 1 (mHTTEx1) occurs across the neuromuscular junctions in human iPSC cultures and in vivo in wild-type mice. We found that transmission is an active and dynamic process, that happens prior to aggregate formation and is regulated by synaptic activity. Furthermore, we find that transmitted mHTTEx1 causes HD-relevant pathology at a molecular and functional level in human muscle cells, even in the presence of ubiquitous expression mHTTEx1. With this work we uncover a casual-link between mHTTEx1 synaptic transmission and pathology, highlighting the therapeutic potential in blocking toxic protein transmission in PMDs.
Distal Insertion Rupture of Lateral Ankle Ligament as a Predictor of Weakened and Delayed Sports Recovery after Acute Ligament Repair: Mid- to Long-Term Outcomes of 148 Cases
Authors: Du Mingze , Li Jun , Jiao Chen , Guo Qinwei , Hu Yuelin , Jiang Dong 
Published: December 2021

Abstract
Background

Surgical repair has been considered for ankle sprain patients with high sports demanding to achieve stronger ankle stability and allow for an earlier return to sports. However, there is a lack of systematic research regarding arthroscopic treatment followed by ligament repair for severe acute ankle sprain. The purpose of this study was to analyze the mid- to long-term outcome of arthroscopy followed by open anatomic lateral ankle ligament repair surgery for acute lateral ankle sprain and the impact of ligament rupture site on the outcome.
Methods

166 professional or semi-professional athletes with clinically- and radiologically-confirmed grade III acute lateral ankle ligament injuries underwent ankle arthroscopy followed by open anatomic ligament repair. Intra-articular lesions and rupture site of the lateral ankle ligament were treated and explored under arthroscopy. Simple suture repair was performed for mid- substance ligament rupture (middle group), while suture repair with anchors were used for the ruptures near the ligament attachment site on the fibular (proximal group), talar or the calcaneal side (distal group). The evaluation parameters included VAS score, AOFAS score, Tegner score, time to return to sports and resumption of pre-injury sports level at final follow-up, sprain recurrence and range of motion (ROM).
Results

The mean follow-up duration was 64.5 (range, 37–132 months) months and 148 (89.2%) patients were evaluated at final follow-up. Intra-articular lesions were treated under arthroscopy in 63 (43%) patients. The average time to return to pre-injury sports activity was 4.37 ± 1.10 months and 17 (11.5%) patients complaint sprain recurrence after operation. There were 71 (48%) cases in the proximal group, 46 (31%) cases in the middle group and 31 (21%) cases in the distal group respectively. The proximal group achieved shortest time to return to sports (4.14 ± 1.09 months) and highest resumption proportion of pre-injury sports level (94% ± 11%) at final follow-up, followed by middle group (89% ± 15%, 4.61 ± 0.93 months, respectively) and distal group (87% ± 13%, 4.53 ± 1.29 months, respectively) (p =0.008, p =0.04, respectively). At final follow-up, all of the VAS score, AOFAS score and the Tegner score were significantly improved from the pre-operative level (p < 0.001). 18 (12%) patients reported mild ROM restriction and 7 (4.7%) patients experienced transient skin numbness.
Conclusions

Ankle arthroscopy followed by open anatomic ligament repair is a reliable procedure for patients with high sports demands after severe acute ankle sprains. Rupture near the talar or calcaneal side weakened the sports resumption and delayed about 2 weeks of sports recovery.
Cotton Fabric Coated With Graphene-based Silver Nanoparticles: Synthesis, Modification, and Antibacterial Activity
Authors: Linh Nguyen Thi Thuy , Diep Tran Chau , Vy Tran Tuong , Dat Nguyen Minh , Trinh Dinh Ngoc , Thinh Doan Ba , Viet Nguyen Duc , Hai Nguyen Duy , Huong Le Minh , Tinh Ninh Thi , Phong Mai Thanh , Nguyen Hieu Huu 
Published: December 2021

Abstract
In this study, silver immobilizing onto graphene oxide (Ag/GO) was synthesized by the in-situ method. Subsequently, silver immobilizing reduced graphene oxide cotton fabric (Ag/rGO/cotton) was made by the dip-coating method in Ag/GO suspension followed by the chemical reduction with the presence of vitamin C as an environmentally friendly reducing agent. The characteristics of Ag/GO, Ag/GO/cotton, and Ag/rGO/cotton were investigated by Fourier transform infrared spectroscopy, X-ray diffraction, Raman spectroscopy, transmission electron microscopy, scanning electron microscope, and energy-dispersive X-ray spectroscopy. The results showed that AgNPs were uniformly distributed on the surface of GO sheets with an average size of 10–15 nm. Regarding Ag/rGO/cotton, the fiber surface was evenly covered by Ag/rGO materials. Besides, there was no significant difference between the two samples of Ag/GO/cotton and Ag/rGO/cotton, indicating the reduction reaction possessed no effect on the cotton structure. Moreover, the Ag/rGO/cotton also exhibited effective hydrophobicity with a wetting angle of 103.85 ± 0.75 o. The antibacterial performance of Ag/GO, Ag/GO/cotton, and Ag/rGO/cotton against the Gram-positive (Staphylococcus aureus-S. aureus) and Gram-negative (Pseudomonas aeruginosa-P. aeruginosa) bacteria were determined via the diameter zone of inhibition. The results indicated that the appropriate reducing agent is L-ascorbic acid-vitamin C (VC) with the conditions: the VC:Ag/GO mass ratio of 1:1, the reducing temperature of 140 oC, and the reducing time of 120 min showed the highest antibacterial effect against two types of bacteria. All results of the study confirmed that Ag/rGO/cotton possesses significant potential for several antibacterial applications such as protective equipment.
METTL3-Mediated DLGAP1 Antisense RNA 2 Promotes Gastric Cancer Tumorigenesis Through Facilitating C-Myc-Dependent Warburg Effect
Authors: Yang Changshun , Zhang Yu , Cheng Xuefei , Li Weihua 
Published: December 2021

Abstract
Background

The critical roles of N6-methyladenosine (m6A) modification have been demonstrated by more and more evidence. However, the cross-talking of m6A and long non-coding RNAs (lncRNAs) in gastric cancer (GC) tumorigenesis is still unclear. Here, our work focused on the functions and molecular mechanism of m6A-modified lncRNA DLGAP1 antisense RNA 2 (DLGAP1-AS2) in GC.
Methods

LncRNA expression profile data was derived from GEO. M6A profile was screened using Methylated RNA immunoprecipitation sequencing (MeRIP-Seq). The metabolism assays were conducted using quantitative analysis of glucose, lactate, ATP and extracellular acidification rate (ECAR). The m6A level of specific RNA was identified using MeRIP-qPCR. The molecular interaction was detected using RIP assay.
Results

Microarray analysis found that lncRNA DLGAP1-AS2 up-regulated in GC cells. Clinical data showed that DLGAP1-AS2 high-expression was correlated with advanced pathological stage and poor prognosis. Functionally, DLGAP1-AS2 promoted the Warburg effect (aerobic glycolysis) and knockdown of DLGAP1-AS2 suppressed the tumor growth of GC cells. Mechanistically, m6A methyltransferase METTL3 enhanced the stability of DLGAP1-AS2 via m6A site binding. Moreover, DLGAP1-AS2 interacted with YTHDF1 to enhance the stability of c-Myc mRNA through DLGAP1-AS2/m6A/YTHDF1/c-Myc mRNA.
Conclusions

In conclusion, our work indicates the functions of m6A-modified DLGAP1-AS2 in the GC aerobic glycolysis, disclosing a potential m6A-dependent manner for GC treatment.
Novel Age-Dependent Cortico-Subcortical Morphologic Interactions Predict Fluid Intelligence: A Multi-Cohort Geometric Deep Learning Study
Authors: Wu Yunan , Besson Pierre , Azcona Emanuel , Bandt Sarah , Parrish Todd , Breiter Hans , Katsaggelos Aggelos 
Published: December 2021

Abstract
The relationship of human brain structure to cognitive function is complex, and how this relationship differs between childhood and adulthood is poorly understood. One strong hypothesis suggests the cognitive function of Fluid Intelligence (Gf) is dependent on prefrontal cortex and parietal cortex. In this work, we developed a novel graph convolutional neural networks (gCNNs) for the analysis of localized anatomic shape and prediction of Gf. Morphologic information of the cortical ribbons and subcortical structures was extracted from T1-weighted MRIs within two independent cohorts, the Adolescent Brain Cognitive Development Study (ABCD; age: 9.93 ± 0.62 years) of children and the Human Connectome Project (HCP; age: 28.81 ± 3.70 years). Prediction combining cortical and subcortical surfaces together yielded the highest accuracy of Gf for both ABCD (R = 0.314) and HCP datasets (R = 0.454), outperforming the state-of-the-art prediction of Gf from any other brain measures in the literature. Across both datasets, the morphology of the amygdala, hippocampus, and nucleus accumbens, along with temporal, parietal and cingulate cortex consistently drove the prediction of Gf, suggesting a significant reframing of the relationship between brain morphology and Gf to include systems involved with reward/aversion processing, judgment and decision-making, motivation, and emotion.
Study of the Effect of Higher-order Dispersions on Photoionisation Induced by Ultrafast Laser Pulses Applying a Classical Theoretical Method
Authors: Márton István , Sarkadi László 
Published: December 2021

Abstract
We investigated the effect of higher order dispersion on ultrafast photoionisation with Classical Trajectory Monte Carlo (CTMC) method for hydrogen and krypton atoms. In our calculations we used linearly polarised ultrashort 7 fs laser pulses, 6.5 × 1014 W/cm2 intensity, and a central wavelength of 800 nm. Our results show that electrons with the highest kinetic energies are obtained with transform limited (TL) pulses. The shaping of the pulses with negative second- third- or fourth- order dispersion results in higher ionisation yield and electron energies compared to pulses shaped with positive dispersion values. We have also investigated how the Carrier Envelope Phase (CEP) dependence of the ionisation is infuenced by dispersion. We calculated the left-right asymmetry as a function of energy and CEP for sodium atoms employing pulses of 4.5 fs, 800 nm central wavelength, and 4 × 1012 W/cm2 intensity. We found that the left-right asymmetry is more pronounced for pulses shaped with positive Group Delay Dispersion (GDD). It was also found that shaping a pulse with increasing amounts of GDD in absolute value blurs the CEP dependence, which is attributed to the increasing number of optical cycles.