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Hybrid gene Selection Methods for High-Dimensional Lung Cancer Data Using Improved Arithmetic Optimization Algorithm

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Computers, Materials & Continua 2024年第6期79卷 5175-5200页

作者： Mutasem k.Alsmadi Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

Lung cancer is among the most frequent cancers in the world,with over one million deaths per *** is required for lung cancer diagnosis and therapy to be effective,accurate,and *** expression microarrays have made it possible to find genetic biomarkers for cancer diagnosis and prediction in a high-throughput *** Learning(ML)has been widely used to diagnose and classify lung cancer where the performance of ML methods is evaluated to identify the appropriate *** and selecting the gene expression patterns can help in lung cancer diagnoses and ***,microarrays include several genes and may cause confusion or false ***,the Arithmetic Optimization Algorithm(AOA)is used to identify the optimal gene subset to reduce the number of selected *** can allow the classifiers to yield the best performance for lung cancer *** addition,we proposed a modified version of AOA which can work effectively on the high dimensional *** the modified AOA,the features are ranked by their weights and are used to initialize the AOA *** exploitation process of AOA is then enhanced by developing a local search algorithm based on two neighborhood ***,the efficiency of the proposed methods was evaluated on gene expression datasets related to Lung cancer using stratified 4-fold *** method’s efficacy in selecting the optimal gene subset is underscored by its ability to maintain feature proportions between 10%to 25%.Moreover,the approach significantly enhances lung cancer prediction *** instance,Lung_Harvard1 achieved an accuracy of 97.5%,Lung_Harvard2 and Lung_Michigan datasets both achieved 100%,Lung_Adenocarcinoma obtained an accuracy of 88.2%,and Lung_Ontario achieved an accuracy of 87.5%.In conclusion,the results indicate the potential promise of the proposed modified AOA approach in classifying microarray cancer data.

关键词： Lung cancer gene selection improved arithmetic optimization algorithm and machine learning

Continuous Lithium-Ion Extraction From Seawater and Mine Water With a Fuel Cell System and Ceramic Membranes

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Energy & Environmental Materials 2024年第6期7卷 254-261页

作者： Cansu kök Lei Wang Jean gustavo A.Ruthes Antje Quade Matthew E.Suss Volker Presser INM–Leibniz Institute for New Materials Campus D2266123Saarbr¨uckenGermany Department of Materials Science&Engineering Saarland UniversityCampus D2266123Saarbr¨uckenGermany Leibniz Institute for Plasma Science and Technology Felix-Hausdorff-Straße 217489GreifswaldGermany Faculty of Mechanical Engineering Technion–Israel Institute of TechnologyHaifa3200003Israel Wolfson Department of Chemical Engineering Technion–Israel Institute of TechnologyHaifa3200003Israel grand Technion Energy Program Technion–Israel Institute of TechnologyHaifa3200003Israel Saarene–Saarland Center for Energy Materials and Sustainability Campus C4266123Saarbr¨uckenGermany

The demand for electronic devices that utilize lithium is steadily increasing in this rapidly advancing technological *** high-purity lithium in an environmentally friendly way is challenging by using commercialized ***,we propose the first fuel cell system for continuous lithium-ion extraction using a lithium superionic conductor membrane and advanced *** fuel cell system for extracting lithium-ion has demonstrated a twofold increase in the selectivity of Li^(+)/Na^(+)while producing *** data show that the fuel cell with a titania-coated electrode achieves 95%lithium-ion purity while generating 10.23 Wh of energy per gram of *** investigation revealed that using atomic layer deposition improved the electrode's uniformity,stability,and electrocatalytic *** 2000 cycles determined by cyclic voltammetry,the electrode preserved its stability.

关键词： atomic layer deposition cation selectivity electrochemical lithium-ion extraction fuel cell

Exploration of chromene-based BioAIEgens

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National Science Review 2024年第3期11卷 47-48页

作者： Fritz E.kühn Department of Chemistry&Catalysis Research Center School of Natural Sciences Technical University of Munich

Photoemission efficiency is usually higher in solution than in solid *** compounds however, display a reverse behavior. Such a behavior is called aggregation-induced emission(AIE).

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Interpreting siliciclastic sedimentation in the upper Paleozoic Mulargia-Escalaplano Basin(Sardinia, Italy):influence of tectonics on provenance

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Journal of Palaeogeography 2024年第1期13卷 18-34页

作者： Luca g.Costamagna Sara Criniti Dipartimento di Scienze Chimiche e geologiche Citadella UniversitariaBlocco A09042 Monserrato CAItaly Dipartimento di Ingegneria dell'Ambiente Universita della Calabria87036 Arcavacata di Rende CSItaly

Late to post-Variscan molassic basins of Late Pennsylvanian-Permian age are exposed in Sardinia(Italy). Here, the compositional and stratigraphic evolution of the Mulargia-Escalaplano sedimentary basin(central Sardinia) has been investigated to highlight how the tectono-magmatic processes have influenced the sedimentation. Ruditic and arenitic samples were collected along well-characterized stratigraphic sections to provide a new insight into the impact of the tectono-magmatic processes on siliciclastic sedimentation. As a result, the conglomerates are mainly clast-supported, petromictic, and thus immature, with no defined maturity trend upwards. Nevertheless, pebble composition changes in times from Variscan basement pebble-rich to volcanic rock-rich, as a consequence of the basin widening and the dismantling and reworking of the coeval volcanic activity. The sandstone composition clearly changes from quartzolithic to feldspatholithic upwards, as a response to the same change of feeding and reworking of the volcanic rocks. Occasionally, interbedded quartzolithic arenites suggest exceptional floods carrying debris from the far borders of the basin. Also, the immature sandstone composition has been interpreted as being controlled by a continuous supply of fresh debris and to a rapid burial rate. In addition, the disappearance of metaradiolarite(lydite AA) Paleozoic grains in the sandstone mineral suite could represent a distinctive marker of a progressive unroofing of the Variscan chain and a clastic supply from deeper tectonic units.

关键词： Petrography Stratigraphy Provenance Molassic basins Sardinia

Endotoxin-induced alterations of adipose tissue function:a pathway to bovine metabolic stress

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Journal of Animal Science and Biotechnology 2024年第4期15卷 1391-1407页

作者： Miguel Chirivi g.Andres Contreras Department of Large Animal Clinical Sciences Michigan State UniversityEast LansingMIUSA

During the periparturient period, dairy cows exhibit negative energy balance due to limited appetite and increased energy requirements for lactogenesis. The delicate equilibrium between energy availability and expenditure puts cows in a state of metabolic stress characterized by excessive lipolysis in white adipose tissues(AT), increased production of reactive oxygen species, and immune cell dysfunction. Metabolic stress, especially in AT, increases the risk for metabolic and inflammatory diseases. Around parturition, cows are also susceptible to endotoxemia. Bacterial-derived toxins cause endotoxemia by promoting inflammatory processes and immune cell infiltration in different organs and systems while impacting metabolic function by altering lipolysis, mitochondrial activity, and insulin sensitivity. In dairy cows, endotoxins enter the bloodstream after overcoming the defense mechanisms of the epithelial barriers, particularly during common periparturient conditions such as mastitis, metritis, and pneumonia, or after abrupt changes in the gut microbiome. In the bovine AT, endotoxins induce a pro-inflammatory response and stimulate lipolysis in AT, leading to the release of free fatty acids into the bloodstream. When excessive and protracted, endotoxin-induced lipolysis can impair adipocyte's insulin signaling pathways and lipid synthesis. Endotoxin exposure can also induce oxidative stress in AT through the production of reactive oxygen species by inflammatory cells and other cellular components. This review provides insights into endotoxins' impact on AT function, highlighting the gaps in our knowledge of the mechanisms underlying AT dysfunction, its connection with periparturient cows' disease risk, and the need to develop effective interventions to prevent and treat endotoxemia-related inflammatory conditions in dairy cattle.

关键词： Adipose tissue dysfunction Endotoxin Inflammation Insulin resistance

Associations of gestational Exposure to Air Pollution and Polycyclic Aromatic Hydrocarbons with Placental Inflammation

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Environment & Health 2024年第9期2卷 672-680页

作者： Emily A.Craig Yan Lin Yihui ge Xiangtian Wang Susan k.Murphy Donald k.Harrington Richard k.Miller Sally W.Thurston Philip k.Hopke Emily S.Barrett Thomas g.O’Connor David Q.Rich Junfeng Zhang Nicholas School of the Environment&Duke global Health Institute Duke UniversityDurhamNorth Carolina 27708United States Department of Psychiatry University of Rochester School of Medicine and DentistryRochesterNew York 14642United States Department of Obstetrics and gynecology University of Rochester School of Medicine and DentistryRochesterNew York 14642United States Department of Environmental Medicine and Department of Pediatrics University of Rochester School of Medicine and DentistryRochesterNew York 14642United States Department of Psychology University of RochesterRochesterNew York 14642United States Department of Biostatistics and Computational Biology and Department of Environmental Medicine University of Rochester School of Medicine and DentistryRochesterNew York 14642United States Department of Public Health Sciences University of Rochester School of Medicine and DentistryRochesterNew York 14642United States Department of Biostatistics and Epidemiology Rutgers School of Public HealthPiscatawayNew Jersey 08854United States Department of Psychiatry and Department of Neuroscience University of Rochester School of Medicine and DentistryRochesterNew York 14642United States Department of Public Health Sciences Department of Medicineand Department of Environmental MedicineUniversity of Rochester School of Medicine and DentistryRochesterNew York 14642United States

Restricted fetal growth(RFg)is a leading contributor to perinatal mortality and has been associated with gestational exposure to air pollution,such as fine particulate matter(PM_(2.5)),nitrogen dioxide(NO2),and polycyclic aromatic hydrocarbons(PAHs).This study examines the association between trimester-specific and weekly means of air pollution throughout gestation and placental inflammatory markers at *** a prospective cohort study of 263 pregnant women in Rochester,NY,we measured interleukin-6(IL-6)and tumor necrosis factor-alpha(TNF-α)in placental tissue and estimated gestational exposure to PM_(2.5)and NO_(2)using a high-resolution spatial-temporal *** to PAHs was estimated using urinary 1-hydroxypyrene(1-OHP)concentrations collected once per *** distributed lag models with a penalized spline function,each interquartile range(2.6μg/m^(3))increase in PM_(2.5)concentration during gestational weeks 6−11 was associated with decreased placental IL-6 levels(−22.2%,95%CI:−39.0%,−0.64%).Using multiple linear regression models,each interquartile range increase of 1-OHP was associated with an increase in TNF-αin the first trimester(58.5%,95%CI:20.7%,74.2%),third trimester(22.9%,95%CI:0.04%,49.5%),and entire pregnancy(29.6%,95%CI:3.9%,60.6%).Our results suggest gestational exposure to air pollution may alter the inflammatory environment of the placenta at delivery.

关键词： pregnancy air pollution PAHs placenta tumor necrosis factor interleukin

EVOLUTION AND INTERACTION OFδ-WAVES IN THE ZERO-PRESSURE gAS DYNAMICS SYSTEM

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Acta Mathematica Scientia 2024年第5期44卷 1801-1836页

作者： Abhishek DAS k.T.JOSEPH Centre for Data Science Institute of Technical Education and Research(ITER)Siksha‘O’Anusandhan(Deemed to be University)BhubaneswarOdisha751030India Centre for Applicable Mathematics Tata Institute of Fundamental ResearchSharada NagarBangalore560065KarnatakaIndia

Evolution and interaction of plane waves of the multidimensional zero-pressure gas dynamics system leads to the study of the corresponding one dimensional *** this paper,we study the initial value problem for one dimensional zero-pressure gas dynamics *** the first equation is the Burgers equation and the second one is the continuity *** consider the solution with initial data in the space of bounded Borel *** we prove a general existence result in the algebra of generalized functions of *** we study in detail special solutions withδ-measures as initial *** study interaction of waves originating from initial data concentrated on two point sources and interaction with classical shock/rarefaction *** gives an understanding of plane-wave interactions in the multidimensional *** use the vanishing viscosity method in our analysis as this gives the physical solution.

关键词： zero-pressure gas dynamics delta-waves interaction of waves

Controlled deployment of a long tether to operate as a partial space elevator

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Astrodynamics 2024年第2期8卷 311-321页

作者： Jinbang Huang Arun k.Misra Department of Mechanical Engineering McGill UniversityMontrealQCH3A 0C3Canada

The deployment of a long tether to operate as a partial space elevator,starting from a nucleus in geostationary orbit,is *** deployment is an inherently unstable process because the center of orbit gradually decreases from the geostationary altitude when deployment *** is also observed that the elasticity of the tether has an important effect on deployment *** is shown that the application of a transverse force on the main spacecraft,determined by using linear state feedback and appropriate gains,can stabilize the *** LQR controller is *** of the dynamics of the system are carried out using this controller for various parametric values of tether elasticity,deployment rates,etc.,to evaluate the efficacy of the controller.

关键词： tether space elevator deployment stability control

Classification of Conversational Sentences Using an Ensemble Pre-Trained Language Model with the Fine-Tuned Parameter

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Computers, Materials & Continua 2024年第2期78卷 1669-1686页

作者： R.Sujatha k.Nimala Department of Networking and Communications SRM Institute of Science and TechnologyKattankulathurChengalpattuTamilnadu603203India

Sentence classification is the process of categorizing a sentence based on the context of the *** categorization requires more semantic highlights than other tasks,such as dependence parsing,which requires more syntactic *** existing strategies focus on the general semantics of a conversation without involving the context of the sentence,recognizing the progress and comparing *** ensemble pre-trained language model was taken up here to classify the conversation sentences from the conversation *** conversational sentences are classified into four categories:information,question,directive,and *** classification label sequences are for analyzing the conversation progress and predicting the pecking order of the *** of Bidirectional Encoder for Representation of Transformer(BERT),Robustly Optimized BERT pretraining Approach(RoBERTa),generative Pre-Trained Transformer(gPT),DistilBERT and generalized Autoregressive Pretraining for Language Understanding(XLNet)models are trained on conversation corpus with *** tuning approach is carried out for better performance on sentence *** Ensemble of Pre-trained Language Models with a Hyperparameter Tuning(EPLM-HT)system is trained on an annotated conversation *** proposed approach outperformed compared to the base BERT,gPT,DistilBERT and XLNet transformer *** proposed ensemble model with the fine-tuned parameters achieved an F1_score of 0.88.

关键词： Bidirectional encoder for representation of transformer conversation ensemble model fine-tuning generalized autoregressive pretraining for language understanding generative pre-trained transformer hyperparameter tuning natural language processing robustly optimized BERT pretraining approach sentence classification transformer models