bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine Learning Based Combination of Multi-omics Data for Subgroup Identification in Non-small Cell Lung Cancer
Authors: Khadirnaikar Seema , Shukla Sudhanshu , Prasanna SRM 
Published: September 2022

Abstract
NSCLC is a heterogeneous disease with a poor prognosis. Identifying novel subtypes can help classify patients with similar molecular and clinical phenotypes and treatment responses. This study uses a machine learning-based approach to compress the multi-omics (mRNA, miRNA, methylation, and protein expression) NSCLC data to a lower dimensional space. This data is subjected to consensus K-means clustering to identify the five novel clusters (C1-C5). Survival analysis of the resulting clusters revealed a significant difference in the overall survival of different clusters (p-value: 0.019). Each cluster was then molecularly characterized to identify specific molecular characteristics. We found that cluster C3 showed minimal genetic aberration with a high prognosis. Next, classification models were developed using data from each omic level to predict the subgroup of unseen patients. A decision-level model was then built using these classifiers, which was used to classify unseen patients into five novel clusters. We also showed that the multi-omics-based classification model outperformed single-omic-based models, and the combination of classifiers proved to be a more accurate prediction model than the individual classifiers. In summary, we have used ML models to develop a classification method and identified five novel NSCLC clusters with different genetic and clinical characteristics. This classification can prove to help decide the therapeutic option for NSCLC patients.
Posture adjustment method of large aircraft components based on multiple numerical control positioners
Authors: Chu Wenmin , Li Gen , Li Shuanggao , Huang Xiang 
Published: September 2022

Abstract
In the digital assembly system of large aircraft components (LAC), multiple numerical control positioners (NCPs) are usually used as actuators to adjust the position and posture of LAC to realize the docking of LAC. The posture adjustment mechanism (PAM) composed of multiple NCPs is a redundant actuated parallel mechanism (RAPM). The traditional full position control (FPC) method may lead to interference between NCPs, resulting in the deformation of NCPs and bracket, affecting the service life of the equipment and the accuracy of posture adjustment. This paper proposes a posture adjustment method based on hybrid control, which divides the motion axes of the NCPs into the position control axis and the force control axis to avoid the internal force of posture adjustment caused by the cooperative motion error of the NCPs. The driving force of the axis of the RAPM under the same posture adjustment trajectory is uncertain. To further reduce the internal force of posture adjustment, a driving force distribution method based on the dynamic model of PAM is proposed. Then, the principle of selecting the position control axis of the PAM is analyzed, and the optimization strategy of the position control axis based on the condition number of the Jacobian matrix is studied to improve the motion performance of the PAM. Finally, the posture adjustment experiment of LAC is carried out. The results show that the hybrid control method based on the optimum contact force can significantly reduce the interaction force between NCPs, and can effectively avoid the deformation of NCPs and brackets. The experimental results of posture adjustment accuracy verification show that the optimization strategy of position control axis makes the accuracy of single posture adjustment meet the requirements of LAC docking, which can effectively improve the docking efficiency of LAC.
Mechanical thrombectomy for ischemic stroke during Percutaneous Coronary Intervention for Acute Myocardial Infarction in a three- vessel disease patient: a case report and literature review
Authors: ABUHEIT EZALDIN , Lu FengYuan , Liu ShiChao , Abdun Mohammed Awadh , Nuh Abdifatah Mohamed , Jian LiGuo , Li En 
Published: September 2022

Abstract
A 49-year-old patient with previously known multivessel disease presented with myocardial infarction and underwent cardiac catheterization, during which he sustained a severe ischemic stroke as a complication of the procedure. This operation involved re-opening the right coronary artery (RCA), mechanical thrombectomy (MT) for the right middle cerebral artery, and recanalization via a radial and femoral approach. After follow-up with rehabilitation. One week later, interventional revascularization of the left anterior descending artery (LAD) and left circumflex (LCx) was performed successfully.
Tunable Topological Phases in a Natural MnSb2Te4/(Sb2Te3)2 superlattice
Authors: Guo Yanfeng , Zhang Xin , Zhang Shihao , Jiang Zhicheng , Huan Shuchun , Yang Yichen , Liu Zhengtai , Yang Song , Jiao Jinlong , Yu Litao , Xia Wei , Wang Xia , Yu Na , Zou Zhiqiang , Liu Yongsheng , Ma Jie , Shen Dawei , Liu Jianpeng 
Published: September 2022

Abstract
Intrinsic ferromagnetic superlattice with nontrivial topological properties is a fertile ground to explore extoic quantum properties, such as the quantum anomalous Hall effect, large tunneling magnetoresistance, etc., which would have potential applications in next-generation spintronic devices. In this work, combining magneto-transport measurements, first principles calculations, and angle-resolved photoemission spectroscopy studies, we find that in a newly synthesized natural van der Waals MnSb2Te4/(Sb2Te3)2 superlattice, the competing magnetic interactions give rise to a fragile ferromagnetic ground state, which whereas very easily enters into the antiferromagnetic states at higher temperatures. Moreover, the system can be forced in to a ferromagnetic state by very small vertical magnetic field. Interestingly, MnSb2Te4/(Sb2Te3)2 would stay in axion insulator states for both ferromagnetic and antiferromagnetic configurations, which are protected by inversion-symmetry and the combination of time-reversal and half lattice translation symmetries, respectively. The axion insulator state can be converted into a Weyl semimetal with hole doping, manifested by the notable intrinsic anomalous Hall effect. Our work thus provides an intrinsic ferromagnetic topological material which can be tuned into versatile topological phases by temperature, magnetic field, as well as carrier doping.
Astragaloside IV alleviates neuronal ferroptosis in ischemic stroke by regulating FTO-m6A-ACSL4 axis
Authors: Jin Zhenglong , Gao Wenying , Guo Fu , Liao Shaojun , Hu Mingzhe , Yu Tao , Yu Shangzhen , Shi Qing 
Published: September 2022

Abstract
Background
Ischemic stroke (IS) is a detrimental neurological disease with limited treatments options. Astragaloside IV (As-IV) was a promising bioactive constituent in the treatment of IS. However, the functional mechanism remains unclear.
Methods
IS cell and mice models were established by oxygen glucose deprivation /re-oxygenation (OGD/R) and middle cerebral artery occlusion (MCAO). RT-qPCR, Western blotting or Immunofluorescence staining were used to measure the gene expression. The N6-methyladenosine (m6A) levels were measured by MeRIP-qPCR and dot blot assays. CCK-8 and TUNEL staining were used to evaluate cell viability and apoptosis. TTC staining analyzed the infract area of brain tissues. The interplays of YTHDF3/ACSL4 and ATF3/FTO were analyzed by RNA-pull down, RIP, ChIP and dual-luciferase reporter assay.
Results
As-IV treatment promoted HT-22 and Neuro-2 cell viability and upregulated FTO levels in vitro and in vivo, as well as inhibited the levels of MDA, LDH, Fe2 + and ACSL4, while promoted the expression of GSH, SCL7A11 and GPX4. Knockdown of FTO, or overexpression of ACSL4 increased the infract size of brain tissues, neuron damage and the levels of MDA, LDH and Fe2+, while As-IV treatment reversed these changes. FTO regulated the m6A levels of ACSL4. YTHDF3 bound to ACSL4, and modulated its levels through m6A modification. ATF3 bound to FTO and positively regulated its levels. Knockdown of FTO or ATF3 increased the apoptosis of OGD/R cells, and promoted MDA, LDH and Fe2 + levels, while inhibited GSH expression. Knockdown of ACSL4, overexpression of FTO or treatment with As-IV reversed these effects.
Conclusion
As-IV promoted the transcription of FTO by upregulating ATF3, resulting in the decreased m6A levels of ACSL4, thus improving neuronal injury in IS by inhibiting ferroptosis.
2C-Net: Integrate Image Compression and Classification via Deep Neural Network
Authors: Liu Linfeng , Chen Tong , Liu Haojie , Pu Shiliang , Wang Li , Shen Qiu 
Published: September 2022

Abstract
Providing effective support for intelligent vision tasks without image reconstruction can save numerous computational costs in the era of big data. With the help of the Deep Neural Network (DNN), integrating image compression and intelligent vision tasks at a feature representation level becomes a new promising approach. But how to perform non-linear transformation for image compression and extract image patterns for intelligent vision tasks simultaneously within a shared DNN remains an open problem. In this paper, a versatile framework is studied to explore the common feature representations for both image compression and classification. A fully-shared latent representation is extracted in a more compact way to support compression and classification task. The General Feature Extraction and Feature-analytic Classifier are proposed to generate and utilize compact and general shared latent representation. Then the whole framework is joint optimized by considering multiple factors (i.e., rate, quality and accuracy). Extensive experiments are carried out to validate that the proposals can improve the performance of both learning-based image compression and classification.The results show that the proposed method outperforms conventional codecs like BPG and JPEG2000 in compression efficiency, while achieving acceptable accuracy on different datasets without image reconstruction.
Diabetes medications and cancer risk associations: a systematic review and meta-analysis of evidence over the past 10 years
Authors: Chen Yixian , Mushashi Fidela , Son Surim , Bhatti Parveen , Dummer Trevor , Murphy Rachel A. 
Published: September 2022

Abstract
Diabetes medications may modify the risk of certain cancers. We systematically searched MEDLINE, Embase, Web of Science, and Cochrane CENTRAL from 2011 to March 2021 for studies evaluating associations between diabetes medications and the risk of breast, lung, colorectal, prostate, liver, and pancreatic cancers. A total of 92 studies (3 randomized controlled trials, 64 cohort, and 25 case-control studies) were identified, involving 171 million participants. Inverse relationships with colorectal (RR = 0.85; 95% CI = 0.78–0.92) and liver cancers (RR = 0.55; 95% CI = 0.46–0.66) were observed in biguanide users. Thiazolidinediones were associated with lower risks of breast (RR = 0.87; 95% CI = 0.80–0.95), lung (RR = 0.77; 95% CI = 0.61–0.96) and liver (RR = 0.83; 95% CI = 0.72–0.95) cancers. Insulins were negatively associated with breast (RR = 0.90; 95% CI = 0.82–0.98) and prostate cancer risks (RR = 0.74; 95% CI = 0.56–0.98). Positive associations were found between insulin secretagogues and pancreatic cancer (RR = 1.26; 95% CI = 1.01–1.57), and between insulins and liver (RR = 1.74; 95% CI = 1.08–2.80) and pancreatic cancers (RR = 2.41; 95% CI = 1.08–5.36). Overall, biguanide and thiazolidinedione use carried no risk, or potentially lower risk of some cancers, while insulin secretagogue and insulin use were associated with increased pancreatic cancer risk.
A MALDI-TOF MS-based discriminant model to distinguish azole-resistant Aspergillus fumigatus strains
Authors: Yamashita Koji , Yaguchi Takashi , Miwa Emi , Kiyuna Tomohiko , Shima Keisuke , Ito Junko , Arai Teppei , Watanabe Akira , Ban Sayaka 
Published: September 2022

Abstract
Aspergillus fumigatus is the major causative agent of aspergillosis in immunosuppressed hosts and patients with chronic pulmonary diseases. Recently, azole resistance of this fungus has become a problem worldwide; thus, rapid detection of resistant strains is desirable in clinical practice. In this study, we established a matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) combined with multivariate and discriminant analysis to detect azole-resistant A. fumigatus strains. The score plot from a partial least squares discriminant analysis clearly separated resistant and susceptible strains, regardless of the culture period. The discriminant analysis using the support-vector machine algorithm based on a dataset for strains cultured on potato dextrose agar for 3 days showed the best performance, with a correct answer rate of 84.75–99.85%. We found a MS peak (4359.5 m/z) specific to some azole-resistant strains with a 34-bp tandem repeat in the promoter region of cyp51A. These tandem repeat strains are extremely rare in Japan. Instead, most resistant strains in Japan have point mutations in cyp51A. No specific biomarker for strains with point mutations was found, but it was possible to detect these resistant strains using a model for point-mutation strains.
Prevalence and Socio-demographic correlates of mental health problems among adolescent students in eastern Ethiopia: a cross-sectional study
Authors: Hunduma Gari , Dessie Yadeta , Geda Biftu , Yadeta Tesfaye Assebe , Deyessa Negussie 
Published: September 2022

Abstract
Background: Adolescence is a developmental stage that marked by role uncertainty, a lot of stress, and emotional instability, all of which lead them to harmful behavior and poor mental health. Adolescent mental health problems are a substantial burden on society and a serious public health concern, it has not been well assessed in low and middle-income countries. This study aimed to determine the prevalence and socio-demographic correlates of of mental health problems among in-school adolescents in Harari region, Eastern Ethiopia.
Methods: A cross-sectional study was conducted among 3227 in-school adolescents studying in private and public schools in Harari region, eastern Ethiopia. Multistage sampling was used to select primary and secondary school students who participated in the study. Guided self-administered strength and difficulty questionnaire measured mental health problems. Data were double entered, validated, and cleaned using EpiData 3.1 and analyzed using STATA 17. Ordinal logistic regression analysis was performed to estimate the adjusted odds ratio between socio-demographic data and mental health problems. Statistical significance was set at p-value < 0.05.
Results: The magnitudes of mental health problems among in-school adolescents by subscale was 24.17% (95% CI: 22.72; 25.67) for internalizing and 11.93% (95% CI: 10.85; 13.09) for externalizing problems. High level of internalizing problem score was more likely among rural residents (AOR= 1.63, 95% CI: 1.23; 2.15), married adolescents (AOR=1.41, 95% CI: 1.10; 1.84), attending public schools (AOR=1.44, 95% CI: 1.18; 1.78), and adolescents whose father’s occupation was farmer (AOR=1.37, 95% CI: 1.01; 1.86). Likewise, the likelihood of high-level of externalizing problem score was high among rural (AOR=2.43, 95% CI: 1.72; 3.46); married adolescents (AOR=1.43, 95% CI: 1.02; 2.02); adolescents who live with eight and above family members (AOR=1.29, 95% CI: 1.01; 1.65); and adolescents whose fathers’ are not educated (AOR=1.59, 95% CI: 1.08; 1.35).
Conclusion: This study revealed that a significant proportion of in-school adolescents experienced either internalizing or externalizing mental problems. The findings highlight the urgent need for better detection, intervention, and prevention strategies for in-school adolescents, particularly focusing on boys, rural residents, public school students, and those whose fathers are farmers and uneducated to reduce mental health problems.
Downlink Video Communications for Enhanced Hybrid NOMA using Deep Learning Model
Authors: V KAVERI , T Deepa 
Published: September 2022

Abstract
Eventually, the wireless system is one of the most prominent and effectively overloaded with enormous amounts of data information due to the rising number of users. To effectively handle widespread congestion, the current iteration of multiple access (MA) will inevitably fail. Recently, the process of non-orthogonal multiple access (NOMA) has been brought to light as a promising one for 5G and beyond, since it can improve spectrum and power efficiency for a large number of users simultaneously. In this research, a downlink Hybrid NOMA (H-NOMA) is recommended that combines the advantages of TDMA and NOMA to enhance the robustness of the system and offer two resource management techniques to maximize both outage capacity and ergodic size in a 5G URLLC scenario Ultra-Reliable Low Latency Communications (URLLC), and we conclude by proposing a deep-learning-based network, ResNet-50, to cut down on the complexity and latency of 5G URLLC. The suggested systems re-assign subcarrier in a way that maximizes outage capacity rather than ergodic capacity alone, and they select the candidate user for gaining subcarrier in a novel approach. The proposed model relies heavily on NOMA deep residual video identification to guarantee precise user categorization and widespread interaction. Using the obtained data, we examine how the suggested method stacks up against the conventional NOMA in terms of BER. When compared to other methods, the proposed one achieves a 93% (bit/s/Hz) spectrum efficiency, a 92% (bit/Hz/Joule) energy efficiency, and a 91% (bps/Hz) attainable data rate.
Resection of Bladder Tumors at the Ureteral Orifice Using a Hook Plasma Electrode: A Case Report
Authors: Wang Ziyong , Bi Ying , Wang Qilin , Bai Yu , Li RuiQian , Yang Hong , Li Jun 
Published: September 2022

Abstract
Background
The traditional surgical approach for non-muscle-invasive bladder cancer is transurethral resection of bladder tumors using annular plasma electrodes, but we have innovatively used a hook electrode and proposed a new surgical method.
Case presentation
We assessed a 31-year-old male patient diagnosed with bladder cancer whose pathological type was low-grade urothelial carcinoma. MRI examination suggested that the patient's bladder tumor was located in the right ureteral orifice, and the tumor stage was T1. Subsequently, we used a homemade hook electrode to enucleate the tumor en bloc on the basis of accurately finding a gap between the bottom of the tumor and normal tissue. Meanwhile, we exposed the complete intramural ureter from the bladder wall and finally removed it.
Conclusions
Through this case of a patient, we explored a resection method similar to "sculpting" and achieved good surgical results. The hook electrode is a surgical tool worth promoting, and using it helps us to remove tumors precisely from the bladder wall.
A summary of federal government, health-related data sources accessible to health researchers: A mapping review
Authors: Annis Ann , Reaves Crista , Sender Jessica , Bumpus Sherry 
Published: September 2022

Abstract
Background
Increasing availability of big data presents new opportunities for researchers. Yet, navigating national data sources is challenging. We aimed to review and summarize federally-sponsored, publicly available, health-related data sources.
Methods
We conducted a systematic mapping review of government sources of health-related data on U.S. populations and with active or recent (previous 10 years) data collection. Key measures were: government sponsor, overview and purpose of data, population of interest, sampling design, sample size, data collection methodology, type and description of data, and cost to obtain data. Convergent synthesis was used to aggregate findings.
Results
Among 106 unique data sources, 57 met inclusion criteria. Data sources were classified as survey or assessment data (53%), trends data (47%), summative processed data (47%), primary registry data (30%), and evaluative data (19%). Most (68%) served more than one purpose. The population of interest included individuals/patients (70%), providers (26%), and healthcare sites/systems (25%). The sources collected data on demographic (77%) and clinical information (61%), health behaviors (42%), provider or practice characteristics (39%), healthcare costs (30%), and laboratory tests (14%). Most (75%) offered free datasets.
Discussion
A broad scope of national health data is accessible to researchers. These data provide insights into important health issues and the nation’s healthcare system, while eliminating the burden of primary data collection. Data standardization and uniformity were uncommon across government entities, highlighting a need to improve data consistency.
Conclusion
Secondary analyses of national data are a feasible, cost-efficient means to address national health concerns.
Synthesis and characterization of SSM@NiO/TiO2p-n junction catalyst for bisphenol A degradation
Authors: alli mumtaz 
Published: September 2022

Abstract
Photocatalyst immobilization on support materials is essential for large-scale applications. Here, we describe growth of a p-n junction catalyst (NiO/TiO2) on a stainless-steel mesh (SSM) support using a facile hydrothermal method. The morphological superiority of the composite over previously reported NiO/TiO2 catalysts was probed using scanning and transmission electron microscopy. Flower petal–like NiO grew uniformly on SSM, which was evenly covered by TiO2 nanoparticles. Theoretical and experimental X-ray diffraction patterns were compared to analyze the development of the composite during various stages of synthesis. The photocatalytic activity of a powdered catalyst and SSM@catalyst was compared by measuring bisphenol A (BPA) degradation. SSM@NiO/TiO2 achieved the highest rate of BPA degradation, removing 96% of the BPA in 120 min. Scavenging experiments were used to investigate the charge separation and degradation mechanism. SSM@NiO/TiO2 showed excellent reusability potential, achieving and sustaining 91% BPA removal after 10 rounds of cyclic degradation. Reusability performance, composite resilience, apparent quantum yields, and figures of merit suggest that SSM@NiO/TiO2 has excellent utility for practical applications.