bluuebunny/crossref_metadata_2025_split huggingface dataset:
A WOA-CNN-BiLSTM-based multi-feature classification prediction model for smart grid financial markets
Authors: Ni Guofeng , Zhang Xiaoyuan , Ni Xiang , Cheng Xiaomei , Meng Xiangdong 
Published: May 2023

Introduction: Smart grid financial market forecasting is an important topic in deep learning. The traditional LSTM network is widely used in time series forecasting because of its ability to model and forecast time series data. However, in long-term time series forecasting, the lack of historical data may lead to a decline in forecasting performance. This is a difficult problem for traditional LSTM networks to overcome.Methods: In this paper, we propose a new deep-learning model to address this problem. This WOA-CNN-BiLSTM model combines bidirectional long short-term memory network BiLSTM and convolution Advantages of Neural Network CNN. We replace the traditional LSTM network with a bidirectional long short-term memory network, BiLSTM, to exploit its ability in capturing long-term dependencies. It can capture long-term dependencies in time series and is bidirectional modelling. At the same time, we use a convolutional neural network (CNN) to extract features of time series data to better represent and capture patterns and regularity in the data. This method combining BiLSTM and CNN can learn the characteristics of time series data more comprehensively, thus improving the accuracy of prediction. Then,to further improve the performance of the CNN-BiLSTM model, we optimize the model using the whale algorithm WOA. This algorithm is a new optimization algorithm, which has good global search ability and convergence speed, and can complete the optimization of the model in a short time.Results: Optimizing the CNN-BiLSTM model through the WOA algorithm can reduce its calculation and training speed, improve the prediction accuracy of the smart grid financial market, and improve the prediction ability of the smart grid financial market. Experimental results show that our proposed CNN-BiLSTM model has better prediction accuracy than other models and can effectively deal with the problem of missing historical data in long-term sequence forecasting.Discussion: This provides necessary help for the development of smart grid financial markets and risk management services, and can promote the development and growth of the smart grid industry. Our research results are of great significance in deep learning, and provide an effective method and idea for solving the financial market forecasting problem of smart grid.
Co-cultures of colon cancer cells and cancer-associated fibroblasts recapitulate the aggressive features of mesenchymal-like colon cancer
Authors: Strating Esther , Verhagen Mathijs P. , Wensink Emerens , Dünnebach Ester , Wijler Liza , Aranguren Itziar , De la Cruz Alberto Sanchez , Peters Niek A. , Hageman Joris H. , van der Net Mirjam M. C. , van Schelven Susanne , Laoukili Jamila , Fodde Riccardo , Roodhart Jeanine , Nierkens Stefan , Snippert Hugo , Gloerich Martijn , Rinkes Inne Borel , Elias Sjoerd G. , Kranenburg Onno 
Published: May 2023

BackgroundPoor prognosis in colon cancer is associated with a high content of cancer-associated fibroblasts (CAFs) and an immunosuppressive tumor microenvironment. The relationship between these two features is incompletely understood. Here, we aimed to generate a model system for studying the interaction between cancer cells and CAFs and their effect on immune-related cytokines and T cell proliferation.MethodsCAFs were isolated from colon cancer liver metastases and were immortalized to prolong lifespan and improve robustness and reproducibility. Established medium and matrix compositions that support the growth of patient-derived organoids were adapted to also support CAF growth. Changes in growth pattern and cellular re-organization were assessed by confocal microscopy, live cell imaging, and immunofluorescence. Single cell RNA sequencing was used to study CAF/organoid co-culture-induced phenotypic changes in both cell types. Conditioned media were used to quantify the production of immunosuppressive factors and to assess their effect on T cell proliferation.ResultsWe developed a co-culture system in which colon cancer organoids and CAFs spontaneously organize into superstructures with a high capacity to contract and stiffen the extracellular matrix (ECM). CAF-produced collagen IV provided a basement membrane supporting cancer cell organization into glandular structures, reminiscent of human cancer histology. Single cell RNA sequencing analysis showed that CAFs induced a partial epithelial-to-mesenchymal-transition in a subpopulation of cancer cells, similar to what is observed in the mesenchymal-like consensus molecular subtype 4 (CMS4) colon cancer. CAFs in co-culture were characterized by high expression of ECM components, ECM-remodeling enzymes, glycolysis, hypoxia, and genes involved in immunosuppression. An expression signature derived from CAFs in co-culture identified a subpopulation of glycolytic myofibroblasts specifically residing in CMS1 and CMS4 colon cancer. Medium conditioned by co-cultures contained high levels of the immunosuppressive factors TGFβ1, VEGFA and lactate, and potently inhibited T cell proliferation.ConclusionCo-cultures of organoids and immortalized CAFs recapitulate the histological, biophysical, and immunosuppressive features of aggressive mesenchymal-like human CRC. The model can be used to study the mechanisms of immunosuppression and to test therapeutic strategies targeting the cross-talk between CAFs and cancer cells. It can be further modified to represent distinct colon cancer subtypes and (organ-specific) microenvironments.
Functional annotation of rhizospheric phageome of the wild plant species Moringa oleifera
Authors: Ashy Ruba A. , Jalal Rewaa S. , Sonbol Hana S. , Alqahtani Mashael D. , Sefrji Fatmah O. , Alshareef Sahar A. , Alshehrei Fatimah M. , Abuauf Haneen W. , Baz Lina , Tashkandi Manal A. , Hakeem Israa J. , Refai Mohammed Y. , Abulfaraj Aala A. 
Published: May 2023

IntroductionThe study aims to describe phageome of soil rhizosphere of M.oleifera in terms of the genes encoding CAZymes and other KEGG enzymes.MethodsGenes of the rhizospheric virome of the wild plant species Moringa oleifera were investigated for their ability to encode useful CAZymes and other KEGG (Kyoto Encyclopedia of Genes and Genomes) enzymes and to resist antibiotic resistance genes (ARGs) in the soil.ResultsAbundance of these genes was higher in the rhizospheric microbiome than in the bulk soil. Detected viral families include the plant viral family Potyviridae as well as the tailed bacteriophages of class Caudoviricetes that are mainly associated with bacterial genera Pseudomonas, Streptomyces and Mycobacterium. Viral CAZymes in this soil mainly belong to glycoside hydrolase (GH) families GH43 and GH23. Some of these CAZymes participate in a KEGG pathway with actions included debranching and degradation of hemicellulose. Other actions include biosynthesizing biopolymer of the bacterial cell wall and the layered cell wall structure of peptidoglycan. Other CAZymes promote plant physiological activities such as cell-cell recognition, embryogenesis and programmed cell death (PCD). Enzymes of other pathways help reduce the level of soil H2O2 and participate in the biosynthesis of glycine, malate, isoprenoids, as well as isoprene that protects plant from heat stress. Other enzymes act in promoting both the permeability of bacterial peroxisome membrane and carbon fixation in plants. Some enzymes participate in a balanced supply of dNTPs, successful DNA replication and mismatch repair during bacterial cell division. They also catalyze the release of signal peptides from bacterial membrane prolipoproteins. Phages with the most highly abundant antibiotic resistance genes (ARGs) transduce species of bacterial genera Pseudomonas, Streptomyces, and Mycobacterium. Abundant mechanisms of antibiotic resistance in the rhizosphere include “antibiotic efflux pump” for ARGs soxR, OleC, and MuxB, “antibiotic target alteration” for parY mutant, and “antibiotic inactivation” for arr-1.DiscussionThese ARGs can act synergistically to inhibit several antibiotics including tetracycline, penam, cephalosporin, rifamycins, aminocoumarin, and oleandomycin. The study highlighted the issue of horizontal transfer of ARGs to clinical isolates and human gut microbiome.
Effects of excitatory transcranial magnetic stimulation over the different cerebral hemispheres dorsolateral prefrontal cortex for post-stroke cognitive impairment: a systematic review and meta-analysis
Authors: Han Kaiyue , Liu Jiajie , Tang Zhiqing , Su Wenlong , Liu Ying , Lu Haitao , Zhang Hao 
Published: May 2023

BackgroundPost-stroke cognitive impairment (PSCI) is a significant health concern. Transcranial magnetic stimulation (TMS) is considered a promising rehabilitation therapy for improving cognition, and the effects of excitatory TMS on PSCI have received much attention in recent years. However, the effects of different cerebral hemispheres on excitatory TMS treatment of cognitive impairment have not been studied. This review aimed to study the effects of excitatory TMS over the dorsolateral prefrontal cortex (DLPFC) of different cerebral hemispheres on the cognitive function of patients with PSCI.MethodsLiterature published in PubMed, Web of Science, Embase, Cochrane Library, Scopus, and Wiley from inception to September 30, 2022, were searched. Two researchers independently performed literature screening, data extraction, and quality assessment. Furthermore, we conducted a meta-analysis using RevMan software (version 5.4) and rated the strength of evidence using GRADEpro.ResultsA total of 19 studies were included in this meta-analysis. The results showed that excitatory TMS over the left hemisphere DLPFC was significantly better in improving global cognition (SMD = 2.26, 95% CI 1.67–2.86, P &lt; 0.00001; vs. SMD = 2.53, 95% CI 1.86–3.20, P &lt; 0.00001), memory (SMD = 1.29, 95% CI 0.72–1.87, P &lt; 0.0001), attention (SMD = 2.32, 95% CI 1.64–3.01, P &lt; 0.00001), executive (SMD = 0.64, 95% CI 0.21–1.07, P = 0.004), P300 latency (SMD = 2.69, 95% CI 2.13–3.25, P &lt; 0.00001), and depression (SMD = 0.95, 95% CI 0.26–1.63, P = 0.007) than that of the control group, but the effect on improving activities of daily living (ADL) was unclear (P = 0.03 vs. P = 0.17). Subgroup analysis further showed that excitatory TMS over the right hemisphere DLPFC was effective in improving the global cognition of PSCI patients (P &lt; 0.00001), but the stimulation effect over the ipsilateral hemisphere DLPFC was unclear (P = 0.11 vs. P = 0.003). Additionally, excitatory TMS over the ipsilateral hemisphere DLPFC showed no statistical difference in improving ADL between the two groups (P = 0.25).ConclusionsCompared to other hemispheric sides, excitatory TMS over the left hemisphere DLPFC was a more effective stimulation area, which can significantly improved the global cognitive function, memory, attention, executive, P300 latency, and depression in patients with PSCI. There was no apparent therapeutic effect on improving activities of daily living (ADL). In the future, more randomized controlled trials with large-sample, high quality, and follow-up are necessary to explore a usable protocol further.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022369096.
Association of fat-soluble vitamins (A, D, and E) status with humoral immune response to COVID-19 inactivated vaccination
Authors: Deng Yao , Huang Liting , Liu Peixin , Geng Xuyang , Lin Zefang , Zheng Zhixiong , Zhan Meixiao , Zhang Zhiren , Liu Junwei , Sun Taoping 
Published: May 2023

BackgroundFat-soluble vitamins (A, D, and E) are essential for the proper functioning of the immune system and are of central importance for infection risk in humans. Vitamins A, D, and E have been reported to be associated with the immune response following vaccination; however, their effects on the immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination remain unknown.MethodsWe measured the neutralizing antibody titers against wild type and omicron within 98 days after the third homologous boosting shot of inactivated SARS-CoV-2 vaccine (BBIBP-CorV or CoronaVac) in 141 healthy adults in a prospective, open-label study. High-performance liquid chromatography-tandem mass spectroscopy was used to determine the concentrations of plasma vitamins A, D, and E.ResultsWe found that the anti-wide-type virus and anti-omicron variant antibody levels significantly increased compared with baseline antibody levels (P &lt; 0.001) after the third vaccination. 25(OH)D3 was significantly negatively associated with the baseline anti-wide-type virus antibody concentrations [beta (95% CI) = −0.331 (−0.659 ~ −0.003)] after adjusting for covariates. A potentially similar association was also observed on day 98 after the third vaccination [beta (95% CI) = −0.317 (−0.641 ~ 0.007)]. After adjusting for covariates, we also found that 25(OH)D3 was significantly negatively associated with the seropositivity of the anti-omicron variant antibody at day 98 after the third vaccination [OR (95% CI) = 0.940 (0.883 ~ 0.996)]. The association between plasma 25(OH)D3 with anti-wild-type virus antibody levels and seropositivity of anti-omicron variant antibodies were persistent in subgroup analyses. We observed no association between retinol/α-tocopherol and anti-wide-type virus antibody levels or anti-omicron variant antibody seropositive in our study.ConclusionThe third inactivated SARS-CoV-2 vaccination significantly improved the ability of anti-SARS-CoV-2 infection in the human body. Higher vitamin D concentrations could significantly decrease the anti-wide-type virus-neutralizing antibody titers and anti-omicron variant antibody seropositive rate after the inactivated SARS-CoV-2 vaccination in people with adequate levels of vitamin D, better immune status, and stronger immune response; further studies comprising large cohorts of patients with different nutritional status are warranted to verify our results.
Treatment of loco-regional recurrence of nasopharyngeal carcinoma in a non-endemic area: oncologic outcomes, morbidity, and proposal of a prognostic nomogram
Authors: Rampinelli Vittorio , Ferrari Marco , Mattavelli Davide , Bonomo Pierluigi , Lambertoni Alessia , Turri-Zanoni Mario , D’Angelo Elisa , Alterio Daniela , Cianchetti Marco , Vischioni Barbara , Rosati Roberta , Tomasoni Michele , Alparone Marco , Taboni Stefano , Tomasini Davide , Maddalo Marta , Bastia Michela Buglione di Monale , Iacovelli Nicola Alessandro , Dionisi Francesco , Bignami Maurizio , Battaglia Paolo , Bossi Paolo , Deganello Alberto , Piazza Cesare , Schreiber Alberto , Nicolai Piero , Castelnuovo Paolo , Orlandi Ester 
Published: May 2023

IntroductionThe study assessed outcomes and toxicities of different treatment modalities for local and/or regional recurrent nasopharyngeal carcinoma (NPC) in a non-endemic area.MethodsPatients treated with curative intent for recurrent NPC with salvage surgery, photon-based radiotherapy, proton therapy (PT), with or without chemotherapy, at different Italian referral centers between 1998 and 2020 were included. Adverse events and complications were classified according to the Common Terminology Criteria for Adverse Events. Characteristics of the patients, tumors, treatments, and complications are presented along with uni- and multivariate analysis of prognostic factors. A survival predictive nomogram is also provided.ResultsA total of 140 patients treated from 1998 to 2020 were retrospectively assessed. Cases with lower age, comorbidity rate, stage, and shorter disease-free interval (DFI) preferentially underwent endoscopic surgery. More advanced cases underwent re-irradiation, fairly distributed between photon-based radiotherapy and PT. Age and DFI were independent factors influencing overall survival. No independent prognostic effect of treatment modality was observed. No significant difference in the morbidity profile of treatments was observed, with 40% of patients experiencing at least one adverse event classified as G3 or higher.ConclusionRecurrent NPC in a non-endemic area has dissimilar aspects compared to its endemic counterpart, suggesting the need for further studies that can guide the choice of the best treatment modality.
Acute kidney injury and chronic kidney disease in umbilical cord blood transplant recipients
Authors: Lopedote Paolo , Xue Elisabetta , Chotivatanapong Julie , Pao Emily C. , Wychera Chiara , Dahlberg Ann E. , Thur Laurel , Roberts Laura , Baker Kelsey , Gooley Ted A. , Hingorani Sangeeta , Milano Filippo 
Published: May 2023

IntroductionAcute kidney injury (AKI) is a frequent early complication post hematopoietic stem cell transplant (HSCT), associated with high morbidity and mortality. Cord blood transplant (CBT) recipients are potentially exposed to more nephrotoxic insults, compared to patients undergoing HSCT from other donor sources. We aimed to identify risk factors for AKI in patients undergoing CBT. We also aimed to identify the impact of AKI on chronic kidney disease (CKD) and survival outcomes by one-year post-CBT.MethodsAdults and children who underwent a first CBT at our Institution were retrospectively evaluated. AKI was staged according to Kidney Disease Improving Global Outcomes (KDIGO) definitions. Cox regression models were used to estimate the association of demographic factors and post-CBT parameters with the cause-specific hazard of AKI.ResultsWe identified 276 patients. Median age was 32 years, 28% (77/276) were children (&lt;18 years) and 129 (47%) were white. A myeloablative conditioning regimen was administered to 243 patients (88%) and 248 (90%) received cyclosporine for GVHD prophylaxis. One-hundred and eighty-six patients (67%) developed AKI by day 60 post-transplant, with 72 (26%) developing severe AKI (stage 2 and 3). In a multivariable analysis, each increase in bilirubin level of 1 mg/dL was associated with a 23% increase in the risk of severe AKI (adjusted HR 1.23, 95% CI 1.13 – 1.34, p&lt;.0001). Conversely, systemic steroid administration appeared to be protective of severe AKI (unadjusted HR 0.36, 95% CI 0.18 – 0.72, p=.004) in a univariate model . Two-hundred-forty-seven patients were evaluable at the one-year time point. Among those, 100 patients (40%) developed CKD one-year post-CBT. Severe AKI was associated with a higher hazard of non-relapse mortality (adjusted HR=3.26, 95% CI 1.65-6.45, p=.001) and overall mortality (adjusted HR=2.28, 95% CI 1.22-4.27, p=.01).DiscussionAKI is a frequent complication after CBT and is associated with worse outcomes. Questions remain as to the mechanism of the protective role of steroids on kidney function in the setting of CBT.
Satellite imagery for high-throughput phenotyping in breeding plots
Authors: Pinto Francisco , Zaman-Allah Mainassara , Reynolds Matthew , Schulthess Urs 
Published: May 2023

Advances in breeding efforts to increase the rate of genetic gains and enhance crop resilience to climate change have been limited by the procedure and costs of phenotyping methods. The recent rapid development of sensors, image-processing technology, and data-analysis has provided opportunities for multiple scales phenotyping methods and systems, including satellite imagery. Among these platforms, satellite imagery may represent one of the ultimate approaches to remotely monitor trials and nurseries planted in multiple locations while standardizing protocols and reducing costs. However, the deployment of satellite-based phenotyping in breeding trials has largely been limited by low spatial resolution of satellite images. The advent of a new generation of high-resolution satellites may finally overcome these limitations. The SkySat constellation started offering multispectral images at a 0.5 m resolution since 2020. In this communication we present a case study on the use of time series SkySat images to estimate NDVI from wheat and maize breeding plots encompassing different sizes and spacing. We evaluated the reliability of the calculated NDVI and tested its capacity to detect seasonal changes and genotypic differences. We discuss the advantages, limitations, and perspectives of this approach for high-throughput phenotyping in breeding programs.
Big Five personality traits and coping strategies of Italian university students during the COVID-19 pandemic first wave
Authors: Burro Roberto , Vicentini Giada , Raccanello Daniela 
Published: May 2023

IntroductionLittle is known about the role personality traits may have played for university students in diminishing and compensating for the negative impact of COVID-19 in its early phases, promoting adaptive coping. University students represent a population which was consistently obliged to follow social distance rules due to the early shift of many organizations from face-to-face to online learning. Therefore, it is worth exploring whether the Big Five traits acted as risk or protective factors after the outbreak of a disaster such as the COVID-19 pandemic for Italian university students.MethodsWe involved a sample of 2,995 university students who completed an online survey in March 2020. We measured the Big Five personality traits through the Big Five Inventory-2-XS and their coping strategies through the Robust—Pandemic Coping Scale. The latter assessed four COVID-19-related coping dimensions, namely Despair (e.g., including helplessness and feeling lack of control), Aversion (e.g., referring to oppositive strategies), Proactivity (e.g., comprising problem solving and information seeking), and Adjustment (e.g., concerning reappraisal and assertiveness).ResultsPreliminarily, two Linear Mixed Models indicated that university students had higher scores in Conscientiousness, followed by Open-Mindedness, and then Agreeableness. These three traits were, in turn, higher than Extraversion and Negative Emotionality, which did not differ among them. Concerning coping, university students reacted more frequently utilizing adaptive strategies (with Proactivity used more frequently than Adjustment) rather than maladaptive strategies (with Despair higher than Aversion). A Path Analysis examining the relations between the Big Five traits and the four coping dimensions showed that Negative Emotionality can be considered as a risk factor, and that Agreeableness, Conscientiousness, and Open-Mindedness can be conceptualized as protective factors. More interestingly, we found that Extraversion entailed both a risk and a protective role for Italian university students after the outbreak of the COVID-19 pandemic.DiscussionNotwithstanding limitations, these findings can be the basis for developing disaster preparation and prevention actions, aiming at promoting students’ positive coping towards current and future disasters.