bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic transcriptomic analysis of childhood medulloblastoma identifies N6- methyladenosine-dependent lncRNA signatures associated with molecular subtype, immune cell infiltration, and prognosis
Authors: Joshi Kandarp , Yuan Menglang , Katsushima Keisuke , Saulnier Olivier , Ray Animesh , Amankwah Ernest , Stapleton Stacie , Jallo George , Taylor Michael D. , Eberhart Charles G. , Perera Ranjan J. 
Published: September 2024

Abstract

Medulloblastoma, the most common malignant pediatric brain tumor, is classified into four main molecular subgroups, but group 3 and group 4 tumors are difficult to subclassify and have a poor prognosis. Rapid point-of-care diagnostic and prognostic assays are needed to improve medulloblastoma risk stratification and management. N6-methyladenosine (m6A) is a common RNA modification and long non-coding RNAs (lncRNAs) play a central role in tumor progression, but their impact on gene expression and associated clinical outcomes in medulloblastoma are unknown. Here we analyzed 469 medulloblastoma tumor transcriptomes to identify lncRNAs co-expressed with m6A regulators. Using LASSO-Cox analysis, we identified a five-gene m6A-associated lncRNA signature (M6LSig) significantly associated with overall survival, which was combined in a prognostic clinical nomogram. Using expression of the 67 m6A-associated lncRNAs, a subgroup classification model was generated using the XGBoost machine learning algorithm, which had a classification accuracy > 90%, including for group 3 and 4 samples. All M6LSig genes were significantly correlated with at least one immune cell type abundance in the tumor microenvironment, and the risk score was positively correlated with CD4+ naïve T cell abundance and negatively correlated with follicular helper T cells and eosinophils. Knockdown of key m6A writer genes METTL3 and METTL14 in a group 3 medulloblastoma cell line (D425-Med) decreased cell proliferation and upregulated many M6LSig genes identified in our in silico analysis, suggesting that the signature genes are functional in medulloblastoma. This study highlights a crucial role for m6A-dependent lncRNAs in medulloblastoma prognosis and immune responses and provides the foundation for practical clinical tools that can be rapidly deployed in clinical settings.
Hybrid Reality 3D Space Registration Method for Rotationally Symmetric in Assembly Process
Authors: Agha Ali , Guo Pengpo , Yang Jun , Xue Zhengjie , Chen RuChen , He Qiang , Wang Haitao 
Published: September 2024

Abstract

In the assembly process of large aircraft parts, the inability to obtain and visually display pose information in real time directly leads to low assembly efficiency. This paper aims to perform pose estimation and three-dimensional registration during the assembly process, utilizing augmented reality to assist the workers with real-time assembly, guidance and information sharing. Furthermore, a hybrid reality, three-dimensional space registration method for the rotationally symmetric objects is proposed. An innovated method proposed to create global description for rotationally symmetric object by a point pair of features, which maps the feature space from a point pair to the corresponding point of the model. By extracting the feature-points in the range image, and solving transformation relationship between them, the high performance five degrees of freedom pose estimation is achieved. The assembly is registered into the mixed reality, three-dimensional space through the solved pose, and the real-time synchronization between the objects in the mixed reality and the real world is realized. The high performance of the designed approach for rotationally symmetric objects has been proven in this paper
Betamethasone Dipropionate Nanostructured Lipid Carriers Enriched Jojoba Oil Gel for Treatment of Atopic Dermatitis
Authors: Singh Prabha , Ghosalkar Shruti Satish , Panchal Nipun Pankaj 
Published: September 2024

Abstract

Aim- To develop and evaluate topical gel containing Betamethasone Dipropionate-loaded nanostructured lipid carriers for the management of Atopic dermatitis.
Background- Atopic dermatitis is a chronic, recurrent skin inflammatory condition that affects both children and adults. Betamethasone Dipropionate, a commonly used topical corticosteroid, has limitations such as low bioavailability, inadequate penetration, and potential skin irritation.
Objective- To evaluate the nanostructured lipid carriers gel by comparison with its marketed formulation and to improve epidermal targeting and minimize the side effects associated with the conventional formulation of betamethasone dipropionate.
Method- A hot homogenization process was used to create the NLCs, and their particle size, zeta potential, entrapment efficiency, and in-vitro release were all measured. Next, the NLCs were mixed with 0.1% jojoba oil to create a gel.
Results- The optimized formulation of Betamethasone dipropionate nanostructured lipid carriers had a particle size of 164 nm, PDI 0.188, zeta potential of -11.6 mv, entrapment efficiency of 92.65%, and an in-vitro release of 90.62% after 12 hours. 0.1% jojoba oil was added to the improved recipe to increase the moisturizing effect and integrated into the gel. NLC mixed in Jojoba oil gel demonstrated much higher spreadability, occlusive action, and regulated release of 91.28% after 12 hours when compared to the marketed gel. The ex-vivo investigation on porcine ear skin demonstrated enhanced penetration and retention of Betamethasone dipropionate in skin layers. There was no sign of skin irritation, indicating that the topical application was safe.
Conclusion- The results of the cytotoxicity study (MTT assay) suggested NLC dispersion has cell proliferation potency on HaCaT cells and was non-toxic. Results indicated that betamethasone dipropionate's therapeutic efficacy might be enhanced by NLC formulation.
Analysis of prevalence and associated biomarkers of sarcopenia living in rural community older adults in Wuhan, China
Authors: Zhou Yun , Zhang Kemeng , Zhang Yanling , He Ping , Wang Zhaohui 
Published: September 2024

Abstract

Background: Sarcopenia is a syndrome of loss of muscle mass and decreased skeletal muscle function with impaired ability in the activities of daily life and cause some adverse consequences in the elderly. In China, where the aging trend is obvious, the incidence of sarcopenia is increasing. Exploring potential biomarkers for sarcopenia may lead to early screening and intervention for sarcopenia.This study investigated the prevalence and potential biomarkers of sarcopenia in older adult living in rural community in Wuhan,China.
Methods: This cross-sectional study involved 236 older participants (age ≥65 years) who received a health examination that included body composition and 23 circulating biomarkers.Sarcopenia was defined by the Asian Working Group for Sarcopenia revised in 2019 (AWGS2019). We divided the participants into a non-sarcopeniagroup and a sarcopenia group. The correlation between biomarkers and sarcopenia was analyzed by independent sample t-test, and then the significant variables of the t-test (p < 0.05) were included in the multivariate logistic regression model to determine the independent factors associated with sarcopenia.
Results: Among the 236 participants, 92 were men and 144 were females, with a mean age of 70.6 ± 4.4years. The prevalence of sarcopenia in rural community was 25.4%(men 20.7%, women 28.5%). Analyses were conducted using multivariate logistic regression，growth differentiation factor 11(GDF11), was an independent risk factor for sarcopenia [Exp (B) 1.031, 95% CI: 1.010-1.052, p=0.003]. However, body mass index, albumin（ALB）, fibroblast growth factor 19(FGF19), and tumour necrosis factor alpha(TNF-α ) were independent protective factors for sarcopenia [BMI: Exp (B) 0.007, 95% CI: 0.000-0.244, p=0.006；ALB: Exp (B) 0.490, 95% CI: 0.281-0.853，p=0.012; FGF19: Exp(B) 0.804, 95% CI: 0.683-0.946, p=0.009; TNF-α: Exp (B) 0.379, 95% CI: 0.194-0.742, p=0.005].
Conclusions: About a quarter of elderly people in rural Chinese communities are at risk of sarcopenia. Lower BMI, lower serum ALB, FGF19, TNF-α, and higher circulating GDF11 are associated with sarcopenia.
Complete resection of a giant costal chondrosarcoma with reconstruction of the thoraco-abdominal wall：a case report.
Authors: Liu Caiyang , Yang Qinyan , Zhong Deyuan , Yan Hongtao , Gu Hang , Yang Xiaozun , Yang Xiaojun , Li Qiang , Huang Xiaolun , Dai Wei 
Published: September 2024

Abstract

Background: Chondrosarcoma primarily occurs in the pelvis and femur, with occasional cases in the ribs. Surgical resection remains the main treatment method for costal chondrosarcoma. However, complete resection often leads to a large range of chest wall defects and a challenging reconstruction.
Case presentation: A 49-year-old female patient presented with progressive swelling of the right chest and abdominal wall over 15 years. Chest CT revealed a 20.1 × 15.6 × 13.7 cm multilocular cystic-solid mass with internal calcification, encircling the 8th to 12th ribs and causing elevation of the right diaphragm. Compression of the liver resulting in a significant reduction in volume. Based on an ultrasound-guided biopsy, chondrosarcoma Grade I was diagnosed. After a multi-disciplinary discussion, we performed a complete resection of the tumor, including the 8th to 12th anterolateral ribs and part of the diaphragm. The diaphragm was then reconstructed by suturing it to the ribs and intercostal muscles. The thoraco-abdominal wall defects were reconstructed with a hernia mesh. Finally, we excised the excess skin and then closed the incision. Histopathologic diagnosis was chondrosarcoma Grade II. The postoperative course was uneventful.
Conclusions: Wide en-bloc resection followed by reconstruction using mesh is feasible and effective for costal chondrosarcoma with limited invasion. This case illustrates the importance of meticulous preoperative planning and multi-disciplinary discussion.
Nitrogen supply forms alter adaptive properties of Moso bamboo seedlings in low phosphorus conditions
Authors: Shi Wenhui , Wang Kecheng , Zhou Jianfei , Xiong Rui , Ying Yeqing 
Published: September 2024

Abstract

Aims
Soil phosphorus loss often occurs in subtropical areas, resulting in extremely low phosphorus levels in forest land, thus affecting soil fertility and hindering normal plant growth. Further research is needed to understand plant preference for different nitrogen sources and to select appropriate nitrogen sources to improve fertilizer use efficiency. The relationship between soil nutrient dynamics and seedling physiology was studied, and the effects of different nitrogen fertilizers on the growth of Phyllostachys edulis seedlings under low phosphorus conditions were evaluated.
Methods
Under four different forms of nitrogen supply (NO3−-N; NH4+-N; NO3−-N + NH4+-N; Org-N) and two phosphorus treatment conditions (deficient, 5.0 mg·kg− 1; sufficient, 20 mg·kg− 1).
Results
Low phosphorus can alter the nutrient environment of some substrates and inhibit the growth of bamboo seedlings, but it improves the efficiency of plant phosphorus utilization; Low phosphorus has a strong inhibitory effect on bamboo, and under low phosphorus conditions, the proportion of amino acid components in bamboo is imbalanced. But it will enhance its adaptability to low phosphorus stress by coordinating the root to shoot ratio, changing the root morphology, improving the efficiency of nitrogen transport and metabolism in roots, stems, and leaves, enhancing the efficiency of leaf electron transfer, and redistributing nutrient resources. In addition, supplying NH4+-N fertilizer under low phosphorus conditions can increase the root to shoot ratio of bamboo, promote the absorption of phosphorus and metal ions by roots, improve nitrogen transport and metabolic efficiency, enhance leaf light utilization capacity, and alleviate the inhibitory effect of bamboo under low phosphorus stress. However, supplying NO3−-N + NH4+-N fertilizer under suitable phosphorus conditions is more conducive to improving the photosynthetic capacity, nitrogen transport and metabolic efficiency of bamboo seedlings, resulting in a significant increase in their total biomass. Therefore, in the actual production and cultivation of bamboo seedlings, attention should be paid to the supply form of nitrogen fertilizer.
Conclusions
Single ammonium nitrogen fertilizer was more suitable for planting bamboo seedlings in natural forest land with seriously low phosphorus, while mixed inorganic nitrogen fertilizer was more suitable for planting bamboo seedlings in soil with reasonable phosphorus fertilizer. It provides theoretical basis for the cultivation and nutrient management practice of bamboo industry.
Hybrid group method of data handling for time series forecasting of thermal generation dispatch in electrical power systems
Authors: Buratto William Gouvêa , Muniz Rafael Ninno , Cardoso Rodolfo , Nied Ademir , Costa Carlos Tavares da , Gonzalez Gabriel Villarrubia 
Published: September 2024

Abstract

In the Brazilian power system, challenges are inherent in forecasting thermal generation dispatch, which plays a critical role in ensuring the efficient operation of electrical power systems. Traditional forecasting methods often struggle to capture the dynamic and nonlinear nature of such systems, leading to inaccuracies and inefficiencies. Here, a hybrid group method of data handling (HGMDH) is proposed based on the combination of denoising techniques and a prediction model. By integrating denoising techniques with the prediction model, the proposed approach aims to overcome the limitations of individual methods, enhancing forecasting accuracy and adaptability to different operating conditions. The effectiveness of the HGMDH approach is evaluated through simulations and comparisons with the Christiano Fitzgerald filter considering a maximum period of oscillations equal to nine. With a mean absolute percentage error of 0.00988, the HGMDH demonstrates superior performance in predicting thermal generation dispatch in electrical power systems. This innovative hybrid approach presents a promising avenue for improving the efficiency and reliability of time series forecasting in complex energy systems.
Identification of an oncogenic role of centromere protein M in non-small cell lung cancer via CDC20/MYBL2/Wnt signals
Authors: Wu Ling , Li Jun , Wang Haoyu , Chang Xu , Kong Qinglong 
Published: September 2024

Abstract

Lung cancer is the most common carcinoma with high mortality. However, the underlying mechanism of pulmonary neoplasia and disease development remains poorly understood. Our study comprehensively analyzed the transcriptome profiles and clinical-pathological characteristics of 515 patients diagnosed with non-small cell lung cancer (NSCLC) retrieved from the TCGA database. We observed a significant upregulation of centromere protein M (CENPM) in tissues of NSCLC patients, which was positively correlated with adverse prognosis. Additionally, overexpression of CENPM significantly facilitated cell proliferation and enhanced tumorigenic potential of NSCLC cell lines (A549/NCI-H1299), resulting in accelerated tumor progression and shortened survival time in tumor-bearing mice. Mechanistically, CENPM activated the Wnt/β-catenin signaling pathway through cell division cycle 20 (CDC20)/ MYB proto-oncogene kike 2 (MYBL2) axis. Blockade of Wnt signaling or CDC20/MYBL2 axis suppressed the tumorigenic potential and proliferative characteristics-induced by CENPM. Our investigation highlighted an essential role of CENPM in promoting NSCLC development, and CENPM might represent a novel biomarker for predicting NSCLC progression in clinic.
“With mental health and land, we have enough to live”. Social determinants of mental health in fifteen conflict-affected municipalities of Montes de María, Colombia: an exploratory mixed method study.
Authors: Rubio-León Diana Carolina , Cano-Sierra Laura , Reyes-Rivera María Juliana , Abitbol Pablo , García-Padilla Dennys , Forero-García Sara Lucía , López-López Wilson 
Published: September 2024

Abstract

Background
Armed conflicts affect mental health. In Colombia, many communities have been victims of armed conflict and multiple social inequalities and injustices for more than six decades. Our research explored the social determinants of mental health in fifteen municipalities affected by the armed conflict in Montes de María, Colombia.
Methods
We used a convergent parallel mixed-method design involving leaders and community members of Montes de María in Colombia, a region deeply affected by the armed conflict. We assessed mental health (PHQ-4 and DASS-21), social support (Medical Outcomes Study Social Support Survey - MOS), and sense of community (Brief Sense of Community Scale - BSCS) in a sample of 134 leaders and community members. Concurrently, we held 35 focus groups and 2 regional meetings with 167 leaders to further explore the social determinants of mental health in the region. Both quantitative and qualitative analyses were conducted, triangulating the information to ensure comprehensive and robust findings.
Results
The quantitative data analysis showed significative relations among different social determinants of health (SDH) and the mental health variables of anxiety, depression and stress. Social support and sense of community appear to be protective factors for mental health. Qualitative data revealed that armed conflict, state abandonment, economic issues, lack of opportunities, social capital, social cohesion and barriers to access mental health services are SDH that have impacted the current mental health of the community.
Conclusions
The results suggest social determinants of health impact the mental health of conflict-affected communities. Both quantitative and qualitative findings highlight the region's challenges, their capacity for resilience, and the urgent need for more effective policies and robust support to address mental health and socioeconomic issues in Montes de María.
Feature Distillation Network for Efficient Super-Resolution with Vast Receptive Field
Authors: Zhang Yanfeng , Tan Wenan , Mao Wenyi 
Published: September 2024

Abstract

In recent years, convolutional neural networks (CNNs) have seen rapid advancements, leading to the proposal of numerous lightweight image super-resolution techniques tailored for deployment on edge devices. This paper examines the information distillation mechanism and the vast-receptive-field attention mechanism utilized in lightweight super-resolution. Additionally, it introduces a new network structure named the vast-receptive-field feature distillation network, named VFDN, which effectively enhances inference speed and reduces GPU memory consumption. The receptive field of the attention block is expanded, and the utilization of large dense convolution kernels is substituted with depth-wise separable convolutions. Meanwhile, we modify the reconstruction block to obtain better reconstruction quality and introduce a Fourier transform-based loss function that emphasizes the frequency domain information of the input image. Experiments show that the designed VFDN achieves comparable results to RFDN, but the parameters are only 307K(55.81\(%\) of RFDN), which is advantageous for deployment on edge devices.
PRFC: Program Repair combining Fix patterns and Code language models
Authors: Wei Dan , Cao Xinjian , Fang Jinglong , Wang Xingqi , Chen Bin 
Published: September 2024

Abstract

Automated program repair (APR) significantly improves development efficiency by automatically generating patches for defects in software. Recently, learning-based automatic program repair methods have been extensively studied. However, this approach still suffers from two obvious limitations: first, it is affected by the long-range dependency problem, which makes it difficult to handle long sequences of complex errors. The second is that the current patch ranking strategy does not consider the overall patch information, resulting in too many anomalously high-scoring patches in the candidate patch list, and thus ignoring the correct patches. To address the above limitations, we propose a novel automated program repair method PRFC (Program Repair combining Fix patterns and Code language models), which consists of three components:(1) By generalizing and organizing common fix patterns, we propose novel mask templates for enhancing the patch generation capability of code language models. (2) PRFC treats the repair task as a cloze task and utilizes the code language model to generate candidate patches based on the mask templates. (3) A novel patch reranking approach, which utilizes template coefficients to rerank candidate patches, greatly alleviates the problem of abnormally high-scoring patches. Experimental results show that PRFC correctly fixes 141 Defects4J bugs and 36 QuixBugs bugs under perfect fault localization conditions, which improves 11.02\% and 33.33\% over the optimal baseline, respectively.
Sex-specific effects of early life stress exposure on memory performance and medial prefrontal cortex transcriptomic pattern of adolescent mice
Authors: Orso Rodrigo , Viola Thiago Wendt , Heberle Bernardo Aguzzoli , Creutzberg Kerstin Camile , Lumertz Francisco Sindermann , Grassi-Oliveira Rodrigo 
Published: September 2024

Abstract

Early life stress (ELS) is considered a risk factor for the development of cognitive and executive disfunctions throughout development. The medial portion of the prefrontal cortex (mPFC) is directly implicated with short-term and working memory. Furthermore, due to its late development compared to other brain regions, the mPFC is considered a vulnerable brain region to ELS exposure. Here, we investigated the effects of ELS on PFC-dependent memory as well as mPFC transcriptomic profile. From postnatal day (PND) 2 to PND 15 BALB/cJ mice were exposed to maternal separation for 3h per day combined with limited bedding (ELS group) or left undisturbed (CT group). During the period of stress, maternal behavior observations were recorded pre-MS and post-MS. During adolescence (PND45 to PND47), male and female were tested for working memory performance in the Y-maze and short-term recognition memory in the object in place task (OIP). Later, we assessed mRNA level alterations in the mPFC by RNA-seq. Here, we showed that ELS increases maternal care post-MS and the number of nest exits pre-MS and post-MS. Furthermore, males and females exposed to ELS showed impairments in the OIP, while only females performed worse in the Y-maze. Regarding the mPFC transcriptome, we identified 13 differently expressed genes in the females, with significant influence of chaperon-mediated protein folding processes, while 4 genes were altered in males. In conclusion, we showed that ELS alters maternal behavior and leads to more extensive impairments in memory function and transcriptomic alterations in females compared to males.