bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel PANoptosis-related lncRNA model for forecasting prognosis and therapeutic response in hepatocellular carcinoma
Authors: Lan Chenlu , Qin Haifei , Huang Zaida , Huang Xinlei , Peng Kai , Li Yuhua , Qin Chongjiu , Wei Yongguang , Zhou Xin , Liao Xiwen , Zhu Guangzhi , Peng Tao 
Published: January 2024

Abstract

Some studies have shown PANoptosis-related genes were related to the prognosis for hepatocellular carcinoma (HCC), but efforts for PANoptosis-related lncRNAs are scarce. Data of The Cancer Genome Atlas (TCGA) was used to identify prognostic PANoptosis-related lncRNAs, risk model and nomogram were constructed for predicting the prognosis of HCC. The clinical characteristic, mutation landscape, immune response, drug sensitivity, enriched biological process and pathway between low and high risk groups were analyzed. The Polymerase Chain Reaction (PCR) was performed to verify the expression of lncRNAs. Risk models displayed good predictive performance in TCGA, train and test cohorts with the area under the receiver operator characteristic curves (AUC) of 1- and 3- year OS > 0.7. Notably, the performance of nomogram and risk model was better than TNM stage (AUC: 0.717 and 0.673 vs 0.660). The risk group was proved to be an independent prognostic factor (p < 0.05). Furthermore, we found that patients of high risk group had a larger tumor size, higher AFP level and advanced TNM stage than the low group (p < 0.05). The functional enrichment analysis suggested that high risk group was related to the upregulated molecular characteristics of cell division, cell proliferation, cell cycle and p53 signaling pathway, and downregulated in metabolic pathway. The mutation analysis revealed an obvious difference of TP53 and CTNNB1 mutation between high and low risk groups. Immune response and drug sensitivity analysis discovered that high risk group was likely to benefit from immunotherapy and some molecular targeted drugs. In conclusion, the PANoptosis-related lncRNA model may be used to predict the prognosis and therapeutic response for HCC.
An innovation-based cycle-slip, multipath estimation, detection and mitigation method for tightly coupled GNSS/INS/Vision navigation in urban areas
Authors: Xu Bo , Zhang Shoujian , Wang Jingrong , Li Jiancheng 
Published: January 2024

Abstract
Accurate, continuous and reliable positioning is crucial in various applications. The multi-sensor fusion technique, for example, Global Navigation Satellite System (GNSS)/Inertial navigation system (INS)/Vision integration system, which leverages the strengths of different sensors to achieve high precision positioning services, has been widely applied in mass-market, which could provide global positioning information, is indispensable in localization with multi-sensor fusion. Nevertheless, the positioning performance of GNSS degrades in urban areas due to the frequent signal deteriorating and blocking, which further has a negative effect on the multi-sensor integration positioning. To alleviate the impact of multipath effects and cycle slips on positioning caused by obstructions in urban situations, we propose an innovation-based cycle slip/multipath estimation, detection and mitigation (I-EDM) method for GNSS pseudorange and carrier phase observations. The method obtains the innovations of GNSS observations with cluster analysis method, and then the innovations are used to detect the cycle slips and multipath. Compared with the residual-based preprocessing method, the innovation-based method avoids the residual overfitting caused by the least square method, resulting in better detection of outliers within the observations. The proposed method is validated by the vehicle experiments conducted in urban areas. Experimental results indicates that the accuracy of 0.23, 0.11, 0.31 m in the east, north and up components can be achieved by the GNSS/INS/Vision integration system with I-EDM method, which has a maximum of 21.6% improvement compared with that with residual-based EDM (R-EDM) method.
A novel mutation in the FLCN gene in a chinese family with Birt-Hogg-Dubé(BHD) syndrome
Authors: Miao He , Zhou Yulin , Ge Silun , Gu Yufeng , Qu Le , Zhou Wenquan , He Haowei 
Published: January 2024

Abstract
Background
Birt-Hogg-Dubé syndrome (BHDS) is an autosomal dominant inherited syndrome caused by folliculin (FLCN) mutation, and FLCN is identified as a tumor suppressor gene. The main objective of this study was to identify disease-causing mutations in a Chinese family affected with BHDS.
Methods
A chinese proband was diagnosed with BHDS for renal tumors, a novel variant in the FLCN gene was identified by next-generation sequencing (NGS). Sanger sequencing was conducted on blood samples from family members to validate the presence of this mutation.
Results
A novel germline frameshift variant (NM_144997.5:c.977dup) was detected in affected family members. Additionally, a somatic frameshift mutation (NM_144997.5:c.1252del) was also detected in the renal tumors of the proband. No mutation was detected in unaffected family members. The mutation seems to be more likely to develop BHDS-associated renal tumors.
Conclusions
A novel mutation was detected in the FLCN gene. It expands the spectrum of FLCN mutations, provides insights into genotype-phenotype correlations of BHDS and a basis for the diagnosis value of testing for FLCN mutations in patients with suspected BHDS.
Impact of model resolution on the response of Arctic hydrological cycle to climate warming
Authors: Ridley Jeff , Blockley Edward 
Published: January 2024

Abstract
The Arctic hydrological cycle is amplified due to sea ice decline, which can influence warming and precipitation over land. However, the response of the terrestrial hydrological cycle, in climate models, to Arctic warming may be dependent on model spatial resolution. Two spatial resolutions of the same CMIP6 physical climate model, HadGEM3-GC3.1, show that the hydrological storage terms and precipitation behave identically with warming. The exception is snow volume which declines faster at low spatial resolution. Surface elevations are smoothed for low resolution, with the result that orographically induced precipitation is lower than at higher resolution. As a consequence, low resolution models will likely overestimate the rate of snow decline with warming compared with higher resolution models. Thus, caution is advised when using low resolution climate models for regional snow impact studies, and with mixed resolution models for climate model inter-comparisons,
Klein-Gordon potentials solvable in terms of the general Heun func
Authors: Ishkhanyan Artur , Krainov Vladimir 
Published: January 2024

Abstract
We study the potentials for which the one-dimensional stationary Klein-Gordon equation can be solved in terms of the general Heun function, a special function of the new generation that generalizes the ordinary hypergeometric function. We reveal that, under the assumption of independent variability of all potential parameters, there are only 35 possible forms of the independent variable transformation that allow reduction of the Klein-Gordon equation to the general Heun equation, each of these transformations generating an unconditionally exactly solvable potential. Due to the symmetry of the Heun equation with respect to the transposition of its singularities, only 11 out of 35 admissible potentials are independent; the others can be derived from these 11 by specifying the involved parameters to particular (real or complex) values. Since one of these latter potentials is a constant, there are just 10 nontrivial independent potentials. Four of these potentials are six-parametric; the other six are five-parametric. Four of the potentials possess ordinary hypergeometric sub-potentials. We present explicit solutions of the Klein-Gordon equation using the general Heun functions for these 10 independent potentials, and provide a comprehensive representation of the involved parameters.
PACS numbers: 03.65.Ge: Solutions of wave equations: bound states, 03.65.Pm: Relativistic wave equations, 02.30.Ik Integrable systems, 02.30.Gp: Special functions
Near surface oxidation of elemental mercury explains high mercury levels in the Arctic Ocean biota
Authors: Kwon Sae Yun , Lim Seung Hyeon , Kim Younggwang , Motta Laura , Yang Eun Jin , Rhee Tae Siek , Hong Jong , Han Seunghee 
Published: January 2024

Abstract

It has been well-established that mercury oxidized (Hg2+) in the atmosphere and those exported from rivers are the main sources to the open ocean waters and biota. A recent modelled result of gaseous elemental Hg (Hg0) invasion into the Arctic Ocean seawater raises ecological concern, given the prevalence of Hg0 driven by long-range transport and surface re-emissions. We measured Hg isotope ratios in zooplankton, Arctic cod, and in samples of total gaseous Hg, sediment, seawater, snowpack in the Bering Strait, Chukchi Sea, and the Beaufort Sea. The Δ200Hg, used to differentiate between Hg0 and Hg2+, show, on average, 70% of Hg0 in all sampled biota and environmental matrices, except for the seawater (Hg2+). This is intriguing given that plankton cells cannot passively uptake Hg0. We show that this isotopic pattern can only be explained by near-surface Hg0 oxidation via terrestrial vegetation and coastally evaded halogen and sea salt aerosols, which preserve near-zero Δ200Hg of Hg0 upon oxidation. Our results contrast positive Δ200Hg anomalies reported from mid-latitude oceans, where upper atmospheric oxidation supplies the majority of bioavailable Hg2+. Our study highlights the importance of near-surface Hg0 oxidation to explain the high Hg levels reported in the Arctic Ocean biota.
Novel applications of Convolutional Neural Networks in the age of Transformers
Authors: Ersavas Tansel , Smith Martin A. , Mattick John S. 
Published: January 2024

Abstract

Convolutional Neural Networks (CNNs) have been central to the Deep Learning revolution and played a key role in initiating the new age of Artificial Intelligence. However, in recent years newer architectures such as Transformers have dominated both research and practical applications. While CNNs still play critical roles in many of the newer developments such as Generative AI, they are far from being thoroughly understood and utilised to their full potential. Here we show that CNNs can recognise patterns in images with scattered pixels and can be used to analyse complex datasets by transforming them into pseudo images in a standardised way for any high dimensional dataset, representing a major advance in the application of CNNs to datasets such as in molecular biology, text, and speech. We introduce a simple approach called DeepMapping, which allows analysis of very high dimensional datasets without intermediate filtering and dimension reduction, thus preserving the full texture of the data, enabling the ability to detect small perturbations. We also demonstrate that DeepMapper is superior in speed and on par in accuracy to prior work in processing large datasets with large numbers of features.
VRainSUD: Content validation of a Cognitive Training Program using the Delphi Method
Authors: Caetano Tânia , Pinho Maria Salomé , Freire Hugo , Mota Dany , Ramadas Eduardo , Lopes Jessica , Dixe Maris dos Anjos 
Published: January 2024

Abstract
Substance abuse has undeniable effects on a number of cognitive dimensions, namely memory and executive functioning. In turn, deficits in these dimensions have been associated with poorer treatment outcomes for Substance Use Disorders (SUD). The main goal of this study was to validate VRainSUD, a cognitive training program composed of a virtual reality platform and a mobile follow-up application that proposes to reduce cognitive deficits in individuals with SUD. The Delphi method was used to reach a consensus on each of the program’s characteristics (e.g., structure, cognitive training tasks). A panel of experts was invited to participate in the content validation by answering two rounds of questions (scale and free-text boxes) regarding the program. Changes were made between the rounds according to the results of the first round. The consensus was defined as at least 70% of the experts agreeing on the validity of a characteristic. From 39 invited experts, 11 completed the first round, and 6 completed both rounds. The structure of the program reached a consensus on the first round, along with most tasks (with the exception of two mobile application tasks). Significant changes were made following the feedback received, namely turning the program personalizable, and adding positive feedback to the tasks in order to improve adherence and engagement. The Delphi method was a valuable tool to improve VRainSUD. The experts’ opinions not only allowed for the validation of main features, but also informed important additional changes.
Analysis of Endophytic Bacterial Diversity in Seeds of Different Genotypes of Cotton and the Suppression of Verticillium Wilt Pathogen Infection by a Synthetic Microbial Community
Authors: Wu Chong-Die , Fan Yong-Bin , Chen Xue , Cao Jiang-Wei , Ye Jing-Yi , Feng Meng-Lei , Liu Xing-Xing , Sun Wen-Jing , Liu Rui-Na , Wang Ai-Ying 
Published: January 2024

Abstract
Background In agricultural production, fungal diseases significantly impact the yield and quality of cotton (Gossypium spp.) with Verticillium wilt posing a particularly severe threat.
Results This study is focused on investigating the effectiveness of endophytic microbial communities present in the seeds of disease-resistant cotton genotypes in the control of cotton Verticillium wilt. The technique of 16S rRNA amplicon sequencing identified a significant enrichment of the Bacillus genus in the resistant genotype Xinluzao 78, which differed from the endophytic bacterial community structure in the susceptible genotype Xinluzao 63. Specific enriched strains were isolated and screened from the seeds of Xinluzao 78 to further explore the biological functions of seed endophytes. A synthetic microbial community (SynCom) was constructed using the broken-rod model, and seeds of the susceptible genotype Xinluzao 63 in this community that had been soaked with the SynCom were found to significantly control the occurrence of Verticillium wilt and regulate the growth of cotton plants. Antibiotic screening techniques were used to preliminarily identify the colonization of strains in the community. These techniques revealed that the strains can colonize plant tissues and occupy ecological niches in cotton tissues through a priority effect, which prevents infection by pathogens.
Conclusion This study highlights the key role of seed endophytes in driving plant disease defense and provides a theoretical basis for the future application of SynComs in agriculture.
Appropriateness of recommendations for surveillance colonoscopy after polypectomy – a comparison of adherence to the 2012 and 2020 USMSTF guidelines
Authors: Idouchi Kacey , Gregoski Mathew J. , Rockey Don C. 
Published: January 2024

Abstract
Background
Screening colonoscopy detects precancerous polyps, which when resected, prevents colon cancer. Recommendations for surveillance colonoscopy after polypectomy are based on the U.S. Multi-Society Task Force guidelines (USMSTF).
Aim
to examine provider recommendations based on 2012 and 2020 USMSTF guidelines.
Methods
A prospective analysis was performed to examine provider recommendations for index screening and surveillance colonoscopy from March 2022 to January 2023. Procedures with unknown histology or unsatisfactory bowel preparation were excluded. We recorded polyp morphology, histology, and subsequent recommendations made by endoscopists, to compare to the USMSTF guidelines.
Results
241 patients were included, with 371 endoscopies reviewed. For index screening colonoscopies, 86%, performed between 2012 and 2020, adhered to 2012 guidelines, while 71%, performed after 2020, adhered to the 2020 guidelines. For surveillance colonoscopies, 62% from 2012 and 2020, and 50% after 2020, adhered to the 2012 and 2020 guidelines, respectively (P < 0.001). For polyp types, recommendations after index colonoscopies showed low-risk adenoma (LRA) had 88% adherence to 2012 guidelines versus 73% adherence to 2020 guidelines. For surveillance colonoscopies, LRA had 73% adherence to 2012 guidelines versus 42% adherence to 2020 guidelines (P < 0.001). Recommendations after index colonoscopy showed high-risk adenoma (HRA) had 79% adherence to 2012 guidelines versus 63% adherence to 2020 guidelines. For surveillance colonoscopies, HRA had 88% adherence to the 2012 guidelines versus 69% adherence to 2020 guidelines (P < 0.001).
Conclusions
Adherence declined for the introduction of 2020 guidelines and was poorer after 2nd surveillance exams. Increasing the evidence for interval recommendations may increase guideline adherence.
Follicular metabolic alterations are associated with obesity in mares and can be mitigated by dietary supplementation
Authors: Catandi Giovana D , Fresa Kyle J , Cheng Ming-Hao , Whitcomb Luke A , Broeckling Corey D , Chen Thomas W , Chicco Adam J , Carnevale Elaine M 
Published: January 2024

Abstract
Obesity is a growing concern in human and equine populations, predisposing to metabolic pathologies and reproductive disturbances. Cellular lipid accumulation and mitochondrial dysfunction play an important role in the pathologic consequences of obesity, which may be mitigated by dietary interventions targeting these processes. We hypothesized that obesity in the mare promotes follicular lipid accumulation and altered mitochondrial function of oocytes and granulosa cells, potentially contributing to impaired fertility in this population. We also predicted that these effects could be mitigated by dietary supplementation with a combination of targeted nutrients to improve follicular cell metabolism. Twenty mares were grouped as: Normal Weight (NW, n = 6, BCS 5.7±0.3), Obese (OB, n = 7, BCS 7.7±0.2), and Obese Diet Supplemented (OBD, n = 7, BCS 7.7±0.2), and fed specific feed regimens for ≥ 6 weeks before sampling. Granulosa cells, follicular fluid, and cumulus-oocyte complexes were collected from follicles ≥ 35 mm during estrus and after induction of maturation. Obesity promoted several mitochondrial metabolic disturbances in granulosa cells, reduced L-carnitine availability in the follicle, promoted lipid accumulation in cumulus cells and oocytes, and increased basal oocyte metabolism. Diet supplementation of a complex nutrient mixture mitigated most of the metabolic changes in the follicles of obese mares, resulting in parameters similar to NW mares. In conclusion, obesity disturbs the equine ovarian follicle by promoting lipid accumulation and altering mitochondrial function. These effects may be partially mitigated with targeted nutritional intervention, thereby potentially improving fertility outcomes in the obese female.
Applying Multimodal Data Fusion based on Deep Learning Methods for the Diagnosis of Neglected Tropical Diseases: A Systematic Review
Authors: Minyilu Yohannes , Abebe Mohammed , Meshesha Million 
Published: January 2024

Abstract
Neglected tropical diseases (NTDs) are the most prevalent diseases worldwide, affecting one-tenth of the world population. Although there are multiple approaches to diagnosing these diseases, using skin manifestations and lesions caused as a result of these diseases along with other medical records is the preferred method. This fact triggers the need to explore and implement a deep learning-based diagnostic model using multimodal data fusion (MMDF) techniques to enhance the diagnostic process. This paper, thus, endeavors to present a thorough systematic review of studies regarding the implementation of MMDF techniques for the diagnosis of skin-related NTDs. To achieve its objective, the study used the PRISMA method based on predefined questions and collected 427 articles from seven major and reputed sources and critically appraised each article. Since no previous studies were found regarding the implementation of MMDF for the diagnoses of skin related NTDs, similar studies using MMDF for the diagnoses of other skin diseases, such as skin cancer, were collected and analyzed in this review to extract information about the implementation of these methods. In doing so, various studies are analyzed using six different parameters, including research approaches, disease selected for diagnosis, dataset, algorithms, performance achievements, and future directions. Accordingly, although all the studies used diverse research methods and datasets based on their problems, deep learning-based convolutional neural networks (CNN) algorithms are found to be the most frequently used and best-performing models in all the studies reviewed.
Evaluation of two stable internal fixation techniques in mandibular ramus sagittal osteotomy: a three-dimensional finite element study
Authors: Silva Kaline de Moura , Machado Leonardo Mendes Ribeiro , Leite Milena Gomes Melo , Noritomi Pedro Yoshito , de Jesus Giorge Pessoa , de Moura Andrezza Lauria 
Published: January 2024

Abstract

Purpose
To evaluate and compare, using finite elements three-dimensional (3D) analysis, two techniques of stable internal fixation in 2 patterns of sagittal split ramus osteotomy (SSRO) and the repercussions of occlusal load distribution in the postoperative period.
Methods
A 3D finite element model of a hemimandible was created. The models were divided into 2 split patterns of SSRO advanced 5 mm forward, a split pattern (1) following the Epker osteotomy design and another split pattern (2) following Posnick osteotomy design, simulated by CAD (Computer Aided Engineering) Rhinoceros 3D®. Two internal fixation techniques were simulated by HyperMesh: A – one titanium miniplate of the Arnett system (1mm) for orthognathic surgery fixed with four monocortical screws; B – one titanium plate fixed with four monocortical screws and one bicortical screw. Resistance, stress and displacement were analyzed applying a 200N vertical load to the occlusal surface region of the mandibular first molar and a 100N to the incisal surface of the mandibular central incisor.
Results
The results were presented through the von Mises stress analysis. A difference in the displacement of the models fixed with only one miniplate and four monocortical screws was observed. The models with split pattern (2) presented smaller displacements when compared to the split pattern (1). For metallic components, the split pattern (2) exhibits lower strain values, although it has no significant difference.
Conclusion
The fixation technique B proved to be more rigid and lower stress values both in the bone and in the plate, as well as lower deformation and displacements were showed in comparison to fixation technique A for all mandibular movements and forces.