bluuebunny/crossref_metadata_2025_split huggingface dataset:
Colloidal self-assembly based ultrathin metasurface for perfect absorption across the entire visible spectrum
Authors: Jiang Jiayi , Cao Yan , Zhou Xin , Xu Haixia , Ning Kexin , Xiao Xuan , Lu Yanxin , Ding Cairong , Chen Yihang , Dong Jianwen 
Published: January 2023

Abstract
Perfect absorption over the entire visible spectrum can create a dark background for acquiring images with high contrast and improved resolution, which is crucial for various applications such as medical imaging, biological detection, and industrial non-destructive testing. The broadband absorption is desired to be achieved in an ultrathin structure for low noise as well as high integration. Here, we experimentally demonstrate a metasurface broadband perfect absorber with an ultrathin thickness of 148 nm and a large area of ∼10 cm2. Such a metasurface, with more than 97% absorption in the wavelength range from 400 to 800 nm, is composed of chromium nanodisk hexagonal array deposited on a chromium substrate with a silica spacer. A self-assembly based colloidal lithography nanofabrication method is developed for the scalable fabrication of the proposed nanostructure. We attribute the broadband absorption to the spectrally overlapped Fabry–Perot resonance, surface plasmon polariton, and localized surface plasmon resonances. Our results offer a novel approach to wafer-scale and low-cost manufacturing of absorption-based devices for applications such as high-contrast imaging and optical modulation.
Maternal high-fat diet changes DNA methylation in the early embryo by disrupting the TCA cycle intermediary alpha ketoglutarate
Authors: Penn Alexander , McPherson Nicole , Fullston Tod , Arman Bridget , Zander-Fox Deirdre 
Published: January 2023

In brief
Maternal obesity can impair metabolism in the embryo and the resulting offspring. This study shows that metabolic disruptions through α-ketoglutarate may link altered metabolism with epigenetic changes in embryos.

Abstract
Maternal obesity can impair offspring metabolic health; however, the precise mechanism underpinning programming is unknown. Ten-Eleven translocase (TET) enzymes demethylate DNA using the TCA cycle intermediary α-ketoglutarate and may be involved in programming offspring health. Whether TETs are disrupted by maternal obesity is unknown. Five to six week-old C57Bl/6 female mice were fed a control diet (CD; 6% fat, n = 175) or a high-fat diet (HFD; 21% fat, n = 158) for 6 weeks. After superovulation, oocytes were collected for metabolic assessment, or females were mated and zygotes were cultured for embryo development, fetal growth, and assessment of global DNA methylation (5-methylcytosine (5mC), 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC), and 5-carboxycytosine (5caC)) in the two-cell embryo. Zygotes collected from superovulated CBAF1 females were cultured in media containing α-ketoglutarate (0, 1.4, 3.5, or 14.0 mM) or with 2-hydroxyglutarate (2HG) (0 or 20 mM), a competitive inhibitor of α-ketoglutarate, with methylation and blastocyst differentiation assessed. After HFD, oocytes showed increased pyruvate oxidation and intracellular ROS, with no changes in Tet3 expression, while two-cell embryo global 5hmC DNA methylation was reduced and 5fC increased. Embryos cultured with 1.4 mM α-ketoglutarate had decreased two-cell 5mC, while 14.0 mM α-ketoglutarate increased the 5hmC:5mC ratio. In contrast, supplementation with 20 mM 2HG increased 5mC and decreased 5fC:5mC and 5caC:5mC ratios. α-ketoglutarate up to 3.5 mM did not alter embryo development, while culturing in 14.0 mM α-ketoglutarate blocked development at the two-cell. Culture with 2HG delayed embryo development past the four-cell and decreased blastocyst total cell number. In conclusion, disruptions in metabolic intermediates in the preimplantation embryo may provide a link between maternal obesity and programming offspring for ill health.
An Analytical Solution of Pressure and Displacement Induced by Recovery of Poroelastic Reservoirs and Its Applications
Authors: Wang Shihao , Li Sanbai , Wu Yu-Shu 
Published: January 2023

Summary
An analytical solution of induced pressure and displacement fields during reservoir production enables rapid yet accurate prediction, as well as optimization of reservoir performance. Traditionally, such solutions are primarily obtained for infinite or semi-infinite domains using Green’s function method, which requires time-consuming numerical integral operations. In this work, we have developed a series solution of transient pressure and displacement fields of a finite-size reservoir using the eigenfunction expansion method. The solution is derived based on the stress formulation of geomechanical governing equations. We have validated the developed solution and applied it to a series of case studies, including the stress concentration effect induced by neighboring horizontal wells and subsidence induced by production. The results demonstrate that, compared to Green’s function method, the series solution is more convenient in implementation and more flexible in handling boundary effects.
Perception, knowledge and attitude of learners about the use of 3D technologies in manual therapy education – A qualitative study
Authors: Sampath Kesava Kovanur , Arumugam Ashokan , Yaghi Esra , Fairs Emma , Andersen Patrea 
Published: January 2023

Abstract

Objectives: Manual therapy is a specific hands-on approach used and taught by various professions such as physiotherapy and osteopathy. The current paradigm of teaching manual therapy incorporates the traditional ‘See one, do one, teach one’ approach. However, this ‘teacher centred’ approach may not enable learners to develop the complex clinical skills of manual therapy. In this context, 3D technologies such as virtual reality may facilitate the teaching and learning of manual therapy. Hence the aim of the current study was to investigate the perception, knowledge and attitude of manual therapy learners about the use of 3D technologies in manual therapy education.
Methods: An exploratory qualitative research design using semi-structured interviews was used in this study. A total of ten manual therapy (5 physiotherapy and 5 osteopathic) students (age =32 (Range19-58); 80% female) enrolled in an appropriate physiotherapy or osteopathic degree provided by a New Zealand recognized institution (e.g university or polytechnic) participated in this study. Data saturation was achieved after 10 interviews (average duration: 35 minutes) that provided thick data. A thematic analysis was the method of choice for data analysis.
Results: Five factors were identified which appeared to influence participants’ perception of role of technology in manual therapy education. These were (1) Sufficiency of current teaching method; (2) Evolution as a learner (novice to expert); (3) Need for objectivity; (4) Tutor feedback; and (5) Barriers and enablers. These five factors influenced the participants’ perception about the role of 3D technologies in manual therapy education with participants evidently taking two distinct/polarized positions (‘no role’ (techstatic) versus a ‘complete role’ (techsavvy)).
Conclusion: Although 3D technology may not replace face-to-face teaching, it may be used to complement the traditional approach of learning/teaching to facilitate the learning of complex skills by manual therapy learners. The advantage of such an approach is an area of future research.
Microstructural asymmetries of the planum temporale predict functional lateralization of auditory-language processing
Authors: Qin Peipei , Bi Qiuhui , Guo Zeya , Yang Liyuan , Li HaoKun , Li Peng , Liang Xinyu , Luo Junhao , Kong Xiangyu , Xiong Yirong , Sun Bo , Ocklenburg Sebastian , Gong Gaolang 
Published: January 2023

Abstract

Structural hemispheric asymmetry has long been assumed to guide functional asymmetry of the human brain, but empirical evidence for this compelling hypothesis remains scarce. Recently, it has been suggested that microstructural asymmetries may be more relevant to functional asymmetries than macrostructural asymmetries. To investigate the link between microstructure and function, we analyzed multimodal MRI data in 907 participants. We quantified structural and functional asymmetries of the planum temporale (PT), a cortical area crucial for auditory-language processing. We found associations of functional PT asymmetries and several microstructural asymmetries, such as intracortical myelin content, neurite density, and neurite orientation dispersion. The PT microstructure per se also showed hemispheric-specific coupling with PT functional activity. All these functional-structural associations are highly specific to within-PT functional activity during auditory-language processing. These results suggest that structural asymmetry guides functional lateralization of the same brain area and highlight a critical role of microstructural PT asymmetries in auditory-language processing.
Identification of a Novel Costimulatory Molecule-Related Signature to Predict Prognostic Risk and Immunotherapy Response in Hepatocellular Carcinoma
Authors: Yu Qian , Zhang Hongjian , Wang Ruijuan , Deng Tianxurun , Feng Wei , Zhang Xin , Wan Cheng , Wang Qingyu , Wang Yuzhuo , Hu Jie , Liu Yun , Yu Yun 
Published: January 2023

Abstract
Background

Hepatocellular carcinoma (HCC) is one of the most prevalent malignancies with high mortality. Costimulatory molecule genes (CMGs) play significant roles in establishing anti-tumor immune response. This study is aimed to identify a costimulatory molecule-related gene signature (CMS) for the prospective assessment of the immunotherapy and prognosis in HCC.

Methods

Data were downloaded from The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) for bioinformatics analysis. Five costimulatory molecule genes were identified to construct a prognostic risk model according to LASSO and stepwise Cox regression analysis. Then, univariate and multivariate Cox regression analysis revealed that the prognostic signature could accurately evaluate the survival outcomes for HCC as an independent predictor factor. Based on the median risk score, patients were divided into the high- and low-risk groups which exhibited significant differences of clinical outcomes, gene set enrichment, immune cell infiltration and immunotherapy response. Drug sensitivity correlation analysis was conducted through CellMiner Database for targeted chemotherapeutic agents.

Results

Five prognosis-related CMGs, including CD40LG, TMIGD2, TNFRSF11A, TNFRSF11B and TNFRSF4, were selected to establish a novel signature which was then validated as an independent prognosis prediction in HCC patients. The five-gene signature could stratify patients into high- and low-risk group which had significant difference in several clinical characteristics, including gender, grade, Barcelona Clinic Liver Cancer (BCLC) stages, T, N and M stages. Furthermore, the ROC curve and the calibration curve of a nomogram showed good predictive function for survival risk. According to functional enrichment analysis, CMGs were highly involved in immune-relevant responses and various metabolic processes, which might help explain the underlying molecular mechanisms and guide treatment for HCC patients. We also found that the signature had a positive correlation with the infiltration of immunocytes and tumor immune microenvironment, illustrating that CD4+ T cell and macrophages play important roles in HCC immune responses. Additionally, TMIGD2 was found to has good sensitivity to a variety of anti-tumor drugs, making it a potential target for HCC precise immunotherapy.

Conclusion

We established and validated a costimulatory molecule gene signature to reliably predict the prognosis, immunotherapy outcomes, and immune cell infiltration for hepatocellular carcinoma.
Time–Cost Optimization In Construction Management Using Multi-verse Optimizer
Authors: Pham Vu Hong Son , Dang Nghiep Trinh Nguyen 
Published: January 2023

Abstract
Since the start of critical path method development, time–cost trade-off problems have been intensively explored and have become one of the most essential parts of construction project planning and control. Reasonable use and operation of the works can increase the project’s cash flow as well as avoid unfavorable weather conditions. The time–cost relationship of a construction project is referred to as a trade-off, especially the less expensive the resources utilized, the longer it takes to finish a project. The Multi-verse Optimizer (MVO) is a new tool introduced in this work to handle the discrete-time–cost trade-off problem (DTCTP). Three benchmark test issues with 18 activities are employed to evaluate the performance of the MVO. The findings indicate that the MVO is highly effective in solving the small-scale DTCTPs against state-of-the-art methods.
An analysis of hand-offs in internal medicine using the I-PASS mnemonic.
Authors: Huber Aurélie , Moyano Belinda , Katherine Blondon 
Published: January 2023

Abstract

Background
Miscommunications account for up to 80% of preventable medical errors. Mnemonics structuring these communications, such as I-PASS (Illness severity, Patient summary, Actions list, Situation awareness, Synthesis), have demonstrated a positive impact on the error rates. Currently, physicians our hospital do not follow a particular structure during their hand-offs. We sought to explore the current hand-offs without prior training compared with a gold standard, and with the I-PASS tool in terms of content and sequence.
Methods
We followed a secondary analysis of data collected during a simulation study of a Friday evening hand-off to the night resident. Thirty physicians received a hand-off of 4 patients and were asked to manage two other patients through nursing pages during the start of the night shift, and then generated six sign-outs for a total of 177 sign-outs in this dataset. The gold standard (GS) was defined by a focus group, who reached a consensus on the essential content of each sign-out.
The analysis focused on their rate of pertinence and completeness and the exploration of the distribution of the 4 first I-PASS categories and their sequences.
Results
Relevance and completeness rates were 37.2%±0.07 and 51.9%±0.1, respectively, with no significant difference between residents and supervisors, and a positive correlation with total hand-off time (residents: R2=0.62 for relevance and 0.32 for completeness; supervisors: R2 =0,67 and 0.56, respectively).
The distribution of I-PAS(S) categories was highly skewed in both GS (I=2%, P=72%, A=17%, S=9%) and participants (I=6%, P=73%, A=14%, S=7%), with significant differences between them for categories A (p=0.046) and I (p≤0.001).
The sequences of I-PASS categories followed a general P-A-S-I pattern. The first S category was most frequently absent and only one participant began his hand-off by announcing the severity level of the case as suggested by the I-PASS tool.
Conclusion
Our results show that a significant number of features handed off were not considered relevant by the GS (pertinence), and that many features considered relevant were not mentioned (completeness), and inversely proportional to the duration of the hand-off. Moreover, current hand-offs differ from the I-PASS tool both in terms of content (frequent absence of categories S and I) and sequence (category I almost never at the beginning). These results highlight clear objectives for future training in medical communications.
Effect of melatonin on oxaliplatin induced neuropathy in patients receiving FOLFOX and XELOX chemotherapy regimens for stage II-IV colorectal cancer; A randomized, placebo controlled, double blind trial
Authors: Kheshti Raziyeh , Dehghani Mehdi , Namazi Soha , Firouzabadi Dena , Mahmoudi Laleh , Haem Elham 
Published: January 2023

Abstract
Purpose
Peripheral neuropathy is a major side effect of oxaliplatin-based chemotherapy. The aim of this placebo-controlled double-blind randomized study was to evaluate the effect of melatonin on prevention of oxaliplatin induced peripheral neuropathy (OXIPN) in patients receiving oxaliplatin for colorectal cancer.
Patients and Methods
Patients with stage II-IV colorectal cancer, who were to receive oxaliplatin-based chemotherapy, were enrolled according to the inclusion criteria and randomly assigned to take either melatonin (20 mg/day) or placebo, during chemotherapy and one month after.
Neuropathy was assessed by several patient- and physician-based reports, including the National Cancer Institute Common Terminology Criteria for Adverse Events scale (NCI-CTCAE), European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Chemotherapy-Induced Peripheral Neuropathy 20 (EORTC QLQ-CIPN20) scale, and oxaliplatin specific scale (OSS).
Results
From a total of 80 selected patients, 54 completed the study and were evaluated for the final analysis.
Grade 3 neuropathy measured by NCI-CTCAE and OSS in the melatonin arm was significantly lower than the placebo group. But according to EORTC QLQ-CIPN20scale, no statistically significant difference was observed between the groups. In addition, melatonin use did not improve patients' quality of life compared with placebo.
Conclusion
Reduction in grade 3 neuropathy based on NCI-CTCAE and OSS can be of great importance, as it is the higher-grade neuropathy that may lead to functional impairment. Given that to date no medication has been approved for prevention of OXIPN and considering the limited number of patients in the present study, conducting a larger clinical trial on the effect of melatonin may lead to beneficial results in this group of patients.
Trial registration
Study was registered (date: 2018-07-23) in the Iranian Registry of Clinical Trials (IRCT). Trial Registration Number: IRCT20170326033139N1. https://www.irct.ir/search/result?query=IRCT20170326033139N1
Vanishing of the El Niño-induced delay effect on the ice mass loss of West Antarctica in future climate change
Authors: Lee Hyun-Ju , Jin Emilia Kyung , Kim Byeong-Hoon , Lee Won Sang 
Published: January 2023

Abstract
The strong El Niño has delayed the ice mass loss of West Antarctica under global warming by inducing weakening of the Amundsen Sea Low (ASL) and consequent extreme snowfall. However, it is not yet clear whether the mechanism will continue in the future warmer climate. Analysis of future climate scenarios from the CMIP6 models shows that the El Niño-induced increases in snowfall over West Antarctica will disappear with intensifying global warming. In the high-emissions scenario (SSP5-8.5), precipitation anomaly owing to El Niño turns to negative from the 2050s, and from the 2060s in the SSP3-7.0, and consequently the El Niño-induced mass loss delay effect vanishes. This is because the stronger polar jet related with positive SAM trend would shift the ASL anomaly toward the east and the equator in the warmer climate, which would prevent water vapor transport into the interior of West Antarctica.
The same rate of parastomal hernia reparations in the different approaches to colostomy
Authors:   511521199710222718 Xiao, Shen Yu , Yang Xuyang , Zeng Hanjiang , Wei Mingtian , Meng Wenjian , Wang Ziqiang 
Published: January 2023

Abstract

Backgrounds

Parastomal hernias are common with permanent colostomies and result in complications. This study aimed to compare the rate of parastomal hernia reparations in the different approaches to colostomy after abdominoperineal resection for rectal cancer and to further investigate the risk factors for parastomal hernia formation in patients with permanent colostomies.

Methods

Consecutive rectal cancer patients who underwent abdominoperineal resection from June 2014 to July 2020 in West China Hospital were divided into the extraperitoneal group and transperitoneal group according to their surgical approach for permanent colostomies. The impact of different approaches to colostomy on parastomal hernia reparations was determined by comparing a group of patients receiving an extraperitoneal route to colostomy with a group receiving transperitoneal. Potential variables were evaluated first with univariate and then multivariate analyses to identify the risk factors for the formation of parastomal hernia.

Results

In total, 202 subjects in the transperitoneal group and 103 in the extraperitoneal group attended the follow-up visit with a median follow-up period of 33 (25th–75th percentiles, 17–46) months. Clinically and radiologically detectable parastomal hernias were present in 76 of 202 (37.6%) and 14 of 103 (13.6%) subjects in the transperitoneal and extraperitoneal groups during the follow-up period (p<0.01). Besides, 10 of 76 (13.1%) subjects in the transperitoneal group and 2 of 14 (14.3%) subjects in the extraperitoneal group underwent a parastomal hernia operation during the follow-up (p = 0.82). In addition, the transperitoneal approach of colostomy (p = 0.002), older age (p<0.001), and higher BMI (p = 0.013) were identified as independent risk factors for the occurrence of parastomal hernia.

Conclusions

Extraperitoneal colostomy decreased the rate of detectable parastomal hernias but didn’t reduce the rate of surgical reparation of parastomal hernias.
Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders
Authors: Abdedou Azzedine , Soulaïmani Azzeddine 
Published: January 2023

Abstract
A non-intrusive reduced-order model based on convolutional autoencoders is proposed as a data-driven tool to build an efficient nonlinear reduced-order model for stochastic spatiotemporal large-scale flow problems. The objective is to perform accurate and rapid uncertainty analyses of the flow outputs of interest for which the input parameters are deemed uncertain. The data are constituted from a set of high-fidelity snapshots, collected using an inhouse high-fidelity flow solver, which correspond to a sample of the uncertain input parameters. The method uses a 1D-convolutional autoencoder to reduce the spatial dimension of the unstructured meshes used by the flow solver. Another convolutional autoencoder is used for the time compression. The encoded latent vectors, generated from the two compression levels, are then mapped to the input parameters using a regression-based multilayer perceptron. The proposed model allows for rapid predictions for unseen parameter values, allowing the output statistical moments to be computed efficiently. The accuracy of the proposed approach is compared to that of the linear reduced-order technique based on an artificial neural network through two benchmark tests (the one-dimensional Burgers and Stoker’s solutions) and a hypothetical dam break flow problem, with an unstructured mesh and over a complex bathymetry river. The numerical results show that the proposed methods present strong predictive capabilities to accurately approximate the statistical moments of the outputs. In particular, the predicted statistical moments are oscillations-free, unlike those obtained with the traditional proper orthogonal decomposition method. The proposed reduction framework is simple to implement and can be applied to other parametric and timedependent problems governed by partial differential equations, which are commonly encountered in many engineering and science problems.