bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sulfur metabolism in sugarcane is affected by high titers of Leifsonia xyli subsp. xyli
Authors: Garcia Fernando Henrique Silva , Domingues-Júnior Adilson Pereira , Nogueira Marina de Lima , de Paula Samuel , Ferreira Jacson , Lavres José , Martins Samuel J. , Fernie Alisdair R. , Kluge Ricardo Alfredo 
Published: February 2023

Abstract
Aims Leifsonia xyli subsp. xyli (Lxx) is the most common sugarcane bacterial pathogen that affects plant development and primary metabolism. For example, cysteine and methionine are sulfur-containing essential amino acids used for bacterial growth and the title of Lxx in sugarcane plants might affect sulfur metabolism. The goal of this study were to evaluate how the increase in bacterial titers affects nutritional status and sulfur metabolism in sugarcane.
Methods: The study was carried out with a susceptible sugarcane (Saccharum officinarum) genotype CB49260, with low and high Lxx titers, evaluating the mineral status and levels of primary metabolites.
Results: Plants with high Lxx titers increased leaf sulfur content (S) compared to plants with low Lxx titers where plants with high Lxx titers displayed increased levels of sulfate, sucrose, maltose, raffinose, shikimic acid, malate, putrescine, glycerol, and, erythritol but decreased levels of methionine and glutathione in leaves. In the culm, plants with high Lxx titers displayed increased contents of maltose but decreased levels of threonine, ornithine, phenylalanine and myo-inositol when compared with plants with low Lxx titers.
Conclusions: This study thus demonstrated that high bacterial titers increase sulfur demand in sugarcane. However, the increase in S content in the leaf did not result in higher sulfur assimilation, which was verified by increases sulfate level and decreases in methionine and glutathione levels. Therefore, our study showed that plant metabolism fails to meet the increased sulfur organic compound demand due to lower methionine and glutathione biosynthesis and methionine catabolism to putrescine biosynthesis in the leaves.
Transcranial focused ultrasound-induced blood‒brain barrier opening in mice without shaving hairs
Authors: Xu Lu , Gong Yan , Chien Chih-Yen , Leuthardt Eric , Chen Hong 
Published: February 2023

Abstract
Acoustic coupling through hairs remains a challenge to performing transcranial focused ultrasound procedures. Here, we demonstrated that this challenge could be addressed by using oil as the coupling medium, leveraging oil's high affinity to hairs due to their inherent hydrophobicity. We compared focused ultrasound-induced blood‒brain barrier opening (FUS-BBBO) outcomes in mice under three coupling conditions: oil with hairs ("oil + hairs"), ultrasound gel with hair shaving ("ultrasound gel + no hair"), and ultrasound gel with hairs ("ultrasound gel + hairs"). The quality of the coupling was evaluated by T2-weighted magnetic resonance imaging (MRI) and passive cavitation detection (PCD). The outcome of FUS-BBBO was assessed by MRI contrast agent extravasation using in vivo T1-weighted contrast-enhanced MRI. It was also evaluated by ex vivo fluorescence imaging of the mouse brain after intravenous injection of a model drug, Evans blue. The results showed that "oil + hairs" consistently achieved high-quality acoustic coupling without trapping air bubbles. The FUS-BBBO outcome was not significantly different between the "oil + hairs" group and the "ultrasound gel + no hair" group. These two groups had significantly higher levels of BBB opening than the ultrasound gel + hairs group. This study demonstrated that oil could be used as a coupling medium for performing transcranial FUS procedures without shaving hairs.
Maritime safety precaution of unmanned ship based on artificial intelligence algorithm
Authors: Zhu Qiuli 
Published: February 2023

Abstract
In the context of the new era, the development strategies of countries and research institutions around the world are gradually expanding to the ocean. As a hot technology, unmanned ship technology has been widely used in military and civil fields. Compared with traditional ships, it has great development potential in terms of safety and economy. The emergence of unmanned ships has contributed to China's maritime security. The collision avoidance path planning capability of the unmanned ship is one of its key technologies, and it is also an important manifestation of its artificial intelligence. Based on artificial intelligence algorithm, this paper studies the maritime safety control system of unmanned ships. The system completes the control system design based on the position and distance of obstacles, water leakage detection, own position and attitude, image acquisition and remote monitoring. Afterwards, the design experiments were carried out to test, and the results showed that after continuous evolution, the path with higher fitness function was retained, and the optimal path was created in the 100th generation, indicating that the system designed in this paper can effectively provide the optimal path for unmanned ships. airway. This platform is small in size and flexible in use, and has complete basic functions, which can provide a useful design reference for ensuring the safety of unmanned ships. In this paper, an effective control system is designed by introducing artificial intelligence algorithms into the field of unmanned ship maritime security.
A Successful Central gastrectomy and Gastro-gastric Anastomosis for A Large Gastric GIST
Authors: Zidan Mohamed , Hassan Eslam , Refaie Mostafa 
Published: February 2023

Abstract

partial gastrectomy is always the preferred technique for GIST resection. Central gastrectomy is a practical technique that can be employed in many situations during the resection of both subepithelial stromal tumors and gastric tumors. We are presenting a case of a large gastric GIST managed by central gastrectomy and gastro-gastric anastomosis.
The early prognostic value of the 1-4-day BCM/PA trend after admission in neurocritical patients
Authors: Li Feng , Peng Jingjing , Xiang Yanling , Liu Guangwei , Ling Shuya 
Published: February 2023

Abstract

Background:The purpose of this study was to investigate early dynamic changes in relevant indicators in neurocritical patients to identify biomarkers that can predict a poor prognosis at an early stage.Methods:This study retrospectively collected clinical data, inflammatory indicators, and nutritional indicators from 77 patients at the neurology intensive care unit of the First Affiliated Hospital of Chongqing Medical University. The 3-month modified Rankin scale score was used as the outcome indicator. A linear mixed model was used to analyze changes in inflammatory indicators and nutritional indicators in neurocritical patients over time from 1-4 days after admission. Logistic regression was used to determine the independent risk factors for a poor prognosis in neurocritical patients and to construct a predictive model. The predictive efficacy of the model was verified using leave-one-out cross-validation and decision curve analysis methods.Results:The analysis results showed that 1-4 days after admission, the inflammatory indicators of white blood cell and absolute monocyte counts and the nutritional indicators of body cell mass (BCM), fat-free mass, BCM/phase angle (PA), intracellular water, extracellular water, and skeletal muscle index increased overall, while the nutritional indicators of albumin and visceral fat area decreased overall. The logistic multivariate regression model showed that the Charlson comorbidity index (CCI) (odds ratio (OR)=2.526, 95% confidence interval (CI) [1.202, 5.308]), hemoglobin (HB)(on admission)-Hb(min)(OR=1.049, 95% CI [1.015, 1.083), BCM(on admission)(OR=0.794, 95% CI [0.662, 0.952]), and the change in BCM/PA 1-4 days after admission (OR=1.157, 95% CI [1.070, 1.252]) were independent risk factors for a poor prognosis in neurocritical patients. The predictive analysis showed that the predictive power of Model 1 with BCM/PA (area under the curve (AUC)=0.95, 95% CI (0.90, 0.99)) was 93%, 65%, 141%, and 133% higher than that of Model 2 without BCM/PA, the CCI, the APACHE Ⅱ score, and the NRS2002 score (all P<0.05), respectively.Conclusions:The CCI, Hb(on admission)-Hb(min), BCM(on admission), and an increase in BCM/PA 1-4 days after admission were independently associated with a poor prognosis in neurocritical patients. Of these variables, BCM/PA may be a valid indicator for early prediction of a poor prognosis in neurocritical patients.
Multi-objective optimization of forging surface structure parameters of radial forging die with cycloidal
Authors: Wang Junshi , Wang Zhaohui , Xu Wenxia , Du Zun , Wang Hongxia 
Published: February 2023

Abstract
To improve the strain homogeneity and damage homogeneity of radial forging hollow shaft. Proposed radial forging die with a cycloid as a generatrix entrance surface. The effects of the structural parameters of the die forging surface, such as the radius of cycloid base circle (R), the length of sizing zone (L) and the radius of sizing zone (r) on the strain homogeneity and damage homogeneity of the machined shaft were investigated. Numerical simulations were performed according to the orthogonal design L25, and an artificial neural network approach was used to develop a mathematical prediction model and apply it to the optimization process of the genetic algorithm. The results show that the optimized structural parameters of the compromise solution are R = 68.27mm, L = 49.36mm, r = 11.01mm, εσ and Cσ are 0.2113 and 0.02562, respectively. Compared with the original structural scheme, εσ is reduced by 21.83% and Cσ is reduced by 31.58%, which indicates that the plastic deformation is more uniform and the machining damage is less during the hollow shaft forging process.
Serum and Salivary MicroRNA-31 in Early Detection of Head and Neck Squamous Cell Carcinoma- a Systematic review and meta-analysis
Authors: abbasi Fatemeh , mortazavi Nazanin , behnampour nasser 
Published: February 2023

Abstract
Oral cancer is the sixth most common cancer in the world and the third most common cancer in developing countries. Early detection of oral cancer can reduce mortality in several ways, including using biomarkers such as MicroRNA (miRNA). MicroRNAs act as tumor suppressors or oncogenes, which play an important role in cancers such as oral cancer. Serum or Saliva miRNA is currently one of the most important biomarkers in the early detection of non-invasive oral cancer. The present study aimed to use a meta-analysis method and combine the quantitative results of articles from 2000 to 2022 on serum and saliva miRNAs for early detection of head and neck squamous cell carcinoma (HNSCC). Data analysis method: - Extraction of statistical indicators of sensitivity, specificity, and Area Under the Curve (AUC) - Use a funnel diagram to diagnose the publication bias of preliminary research before and after sensitivity analysis - Using the Cochrane Q test to determine the degree of heterogeneity in the results of preliminary studies - Use of models with fixed and random effects and meta-regression method The sensitivity index for miR-31 in the fixed model was 71.68% based on the meta-analysis. The funnel diagram shows no heterogeneity between the studies and the Begg test indicates that diffusion bias is absent based on the P-values for these indicators. Based on the results, serum, plasma, and saliva miRNAs may provide a non-invasive and cost-effective method of diagnosing HNSCC; however, large-scale controlled trials are needed to validate different miRNAs.
FuseBot: Mechanical Search of Rigid and Deformable Objects via Multi-Modal Perception
Authors: Boroushaki Tara , Dodds Laura , Naeem Nazish , Adib Fadel 
Published: February 2023

Abstract
Mechanical search is a robotic problem where a robot needs to retrieve a target item that is partially or fully-occluded from its camera. State-of-the-art approaches for mechanical search either require an expensive search process to find the target item, or they require the item to be tagged with a radio frequency identification tag (eg, RFID), making their approach beneficial only to tagged items in the environment. We present FuseBot, the first robotic system for RF-Visual mechanical search that enables efficient retrieval of both RF-tagged and untagged items in a pile. Rather than requiring all target items in a pile to be RF-tagged, FuseBot leverages the mere existence of an RF-tagged item in the pile to benefit both tagged and untagged items. Our design introduces two key innovations. The first is RF-Visual Mapping, a technique that identifies and locates RF-tagged items in a pile and uses this information to construct an RF-Visual occupancy distribution map. The second is RF-Visual Extraction, a policy formulated as an optimization problem that minimizes the number of actions required to extract the target object by accounting for the probabilistic occupancy distribution, the expected grasp quality, and the expected information gain from future actions. We built a real-time end-to-end prototype of our system on a UR5e robotic arm with in-hand vision and RF perception modules. We conducted over 180 real-world experimental trials to evaluate FuseBot and compare its performance to a state-of-the-art vision-based system named X-Ray. Our experimental results demonstrate that FuseBot outperforms X-Ray’s efficiency by more than 40% in terms of the number of actions required for successful mechanical search. Furthermore, in comparison to X-Ray’s success rate of 84%, FuseBot achieves a success rate of 95% in retrieving untagged items, demonstrating for the first time that the benefits of RF perception extend beyond tagged objects in the mechanical search problem.
How various adaptation schemes in the education systems of European countries affect the inclusion of refugee children from Ukraine in their educational system.
Authors: Chovpan Ganna 
Published: February 2023

Abstract
The article compares how the children of Ukrainian refugees are included in the school systems of Poland, Germany, and the UK. The main factors influencing the school adaptation of refugee children are analyzed. We conducted an anonymous survey of schoolchildren's parents. It is concluded that most children went to school in the host countries and continue to study remotely in Ukrainian schools. The general situation with the inclusion of children in educational systems looks optimistic but requires further monitoring.
A novel cuproptosis-related signature for predicting prognosis and immune response in gastric cancer
Authors: Liang Kai , Li Duguang , Liu Xiaolong , Zhou Fengbin , Shi Weixin , Yang Jin 
Published: February 2023

Abstract
Cuproptosis is a novel non-apoptotic programmed cell death distinguished from classical cell death. However, the direct prognostic value of cuproptosis-related genes (CRGs), and corresponding detailed mechanisms in gastric cancer (GC) remain unknown. Here, we collected RNA-sequencing data, copy number variation, single nucleotide variation and clinical information of GC from TCGA database. Then, two distinct cuproptosis-related clusters were established based on the expression patterns of 13 CRGs using consensus unsupervised clustering analysis. Based on the differentially expressed genes with prognostic value between the two CRGs clusters, a predictive signature was developed which divided all patients into high- and low-risk two groups. It was found that patients in the low-risk group showed better survival prognosis than those in the high-risk group. Moreover, the accuracy of this model in prognostic prediction was further confirmed in two independent GEO cohorts. Univariate and multivariate Cox regression analyses demonstrated that the CRG score was an independent prognostic predictor for GC patients. In addition, there were also an obvious differences of immune cells infiltration and tumor mutation burden (TMB) between the two groups. Meanwhile, this signature could help to predict chemotherapeutic drug sensitivity and immunotherapy efficacy in GC patients. Collectively, we demonstrated a comprehensive overview of CRG profiles in GC and established a novel risk model for the prediction of therapy effect and prognosis in GC patients.
Genetically Engineered CXCR4-modified Exosomes for Delivery of miR-126 mimics to Macrophages Alleviate Periodontitis
Authors: Luo Haotian , Chen Danying , Li Ruoyu , Li Runze , Teng Yungshan , Cao Yang , Zou Xuenong , Wang Weicai , Zhou Chen 
Published: February 2023

Abstract
Biofilm related diseases are a group of diseases that tolerant antimicrobial chemotherapies therefore refractory. Periodontitis as a non-device chronic biofilm disease induced by dental plaque, can serve as an excellent in vivo model for studying the important implications of host factors in the biofilm microenvironment. Macrophage activity is one of the key factors that modulate the progression of inflammatory destruction in periodontitis, thus an important host immunomodulatory factor. In this study, the decrease of microRNA-126 (miR-126) with the recruitment of macrophages in periodontitis is confirmed in the clinical samples, and a strategy to target-deliver miR-126 to macrophages is explored.Exosomes overexpressing C-X-C motif chemokine receptor 4 (CXCR4) loaded with miR-126 (CXCR4-miR126-Exo) are successfully constructed, which reduce the off-target delivery to macrophages and regulate macrophages toward the anti-inflammatory phenotype. In vivo local injection ofCXCR4-miR126-Exo into sites of periodontitis in rats effectively reduces the bone resorption and osteoclastogenesis, and inhibited the progression of periodontitis. These results provide new insights for designing novel targeted delivery system of immunomodulatory factor to treat periodontitis and other biofilm related diseases.
Construction of the Novel Immune Risk Scoring System Related to CD8 + T Cells in Uterine Corpus Endometrial Carcinoma
Authors: Zhang Ganghua , Yin Zhijing , Fang Jianing , Wu Anshan , Chen Guanjun , Cao Ke 
Published: February 2023

Abstract
Uterine corpus endometrial carcinoma (UCEC) is a gynecological malignant tumor with high incidence and poor prognosis. Although immunotherapy has brought huge survival benefits for some specific patients, the traditional evaluation indicators cannot accurately identify all beneficiaries. To construct a new scoring system to predict patient prognosis and responsiveness of immunotherapy, key genes related to CD8+T cells and prognosis were selected out to develop the novel immune risk score (NIRS). Subsequently, correlations between NIRS and other prognostic features such as clinical characteristics, microsatellite status, immune infiltration and tumor mutation burden were investigated. Five module genes (GPR18, CD48, LCK, LTA, and SLAMF1) were selected to construct NIRS after multiple screening procedures. NIRS is considered as an independent prognostic factor of UCEC. The increase in NIRS is accompanied by decreases in infiltrated immune cells and immune checkpoint expression; thus, indicating a lower sensibility to immune checkpoint inhibitors. Five module genes were considered protective factors and positively linked to the level of CD8+ T cells by single gene multi-omics analyses. In this research, we
constructed NIRS as a novel prognostic signature of UCEC. NIRS can not only distinguish patients with different prognoses and immune responsiveness, but also guide their therapeutic regimens.
Context-dependent activation of a social behavior brain network associates with learned vocal production
Authors: Anderson Katherine L. , Colón Lionel , Doolittle Violet , Martinez Raysa Rosario , Uraga Joseph , Whitney Osceola 
Published: February 2023

Abstract
In zebra finches, an avian brain network for vocal control undergoes context-dependent patterning of song-dependent activation. Previous studies in zebra finches also implicate the importance of dopaminergic input in producing context-appropriate singing behavior. In mice, it has been shown that oxytocinergic neurons originated in the paraventricular nucleus of the hypothalamus (PVN) synapse directly onto dopamine neurons in the ventral tegmental area (VTA), implicating the necessity of oxytocin signaling from the PVN for producing a context-appropriate song. Both avian and non-avian axonal tract-tracing studies indicate high levels of PVN innervation by the social behavior network. Here, we hypothesize that the motivation for PVN oxytocin neurons to trigger dopamine release originates in the social behavior network, a highly conserved and interconnected collection of six regions implicated in various social and homeostatic behaviors. We found that expression of the neuronal activity marker EGR1 was not strongly correlated with song production in any of the regions of the social behavior network. However, when EGR1expression levels were normalized to the singing rate, we found significantly higher levels of expression in the social behavior network regions except the medial preoptic area during a social female-directed singing context compared to a non-social undirected singing context. Our results suggest neuronal activity within the male zebra finch social behavior network influences the synaptic release of oxytocin from PVN onto dopaminergic projection neurons in the VTA, which in turn signals to the vocal control network to allow for context-appropriate song production.
GastroEffNetV1- CNN based Automated detection of Gastrointestinal abnormalities from capsule endoscopy images
Authors: S Rajkumar , V.A Sairam , G.K Krithika , C.S Harini , P Dhanusha , G.E Chandrasekar , V Sapthagirivasan 
Published: February 2023

Abstract
Purpose: Gastrointestinal disorders are a class of prevalent disorders in the world. Capsule endoscopy is considered as an effective diagnostic modality for diagnosis of such gastrointestinal disorders.
Aim: The work is to leverage an algorithm for automated classification of the gastrointestinal abnormalities using capsule endoscopy images using Deep learning algorithms.
Method: In this method we proposed a deep learning architecture GastroEffNetV1 for automatic classification of the abnormalities in the capsule endoscopy images. The gastrointestinal abnormalities considered are ulcerative colitis, polyps and esophagitis. The curated dataset consists of 6000 images with ground truth labeling. A website was developed using the trained algorithm to execute automatic classification of the input image as either ulcerative colitis, polyp, esophagitis or as normal condition.
Result: The classifier produced 99.15% validation accuracy, 0.0918 validation loss, 99.25% specificity and 99.25% sensitivity and 0.991 AUC. These results exceed that of the state-of-the-art systems.
Conclusion: Hence the GastroEffNetV1 could be used to identify the different gastrointestinal abnormalities in the capsule endoscopy image which will in turn increase quality of healthcare.