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Evaluation of Clinical Characteristics and Plasma Cortisol Concentrations in Individuals with COVID-19 and Post-COVID Syndrome

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Case Reports in Clinical Medicine 2024年第1期13卷 12-24页

作者： David Alejandro García lópez Stephania Ramos Hernández Yamile lópez-Hernández María Argelia lópez luna Elena Donaji Ramírez Alvarado Rosa María Ramírez Santoyo Sergio Hugo Sánchez Rodríguez laboratorio de Biología Celular y Neurobiología Universidad Autónoma de Zacatecas México Zacatecas Unidad Académica de Ciencias Químicas Universidad Autónoma de Zacatecas México Zacatecas laboratorio de Metabolómica y Proteómica Universidad Autónoma de Zacatecas México Zacatecas laboratorio de Bacterias y Hongos filamentosos Universidad Autónoma de Zacatecas México Zacatecas

COVID-19 generates systematic alterations in humans both in active stages of infection and over time, called post-COVID syndrome. Cortisol is a hormone that is overexpressed in inflammation and cellular stress processes. Its main function is to return to physiological homeostasis, so its evaluation together with other clinical parameters can allow us to determine the degree of systemic affectation by COVID-19. Objective: To evaluate changes in clinical parameters and plasma cortisol concentrations in patients with active COVID-19 and post-COVID syndrome. Material and Methods: Healthy patients, in stages of mild infection, critical and with post-COVID syndrome, were recruited, obtaining, through clinical diagnoses and interviews, their main clinical characteristics, in addition to plasma, in which cortisol concentrations were determined using competitive ElISA. Results: The critical stage group had higher frequencies of comorbidities, clinical symptoms, as well as more altered laboratory parameters compared to the other subgroups. In the post-COVID syndrome group after the initial infection, most laboratory parameters recovered, however, several clinical symptoms remained latent over time. The determination of cortisol showed an increase in its concentration, being higher in patients in critical stage and with post-COVID syndrome. Conclusion: COVID-19 disease generates clinical alterations that trigger an increase in plasma cortisol. These alterations increase as the stages of infection become more severe and some of them remain altered in patients with post-COVID syndrome.

关键词： COVID-19 Cortisol Post-COVID Syndrome

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Mental health in the virtual world:Challenges and opportunities in the metaverse era

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World Journal of Clinical Cases 2024年第17期12卷 2939-2945页

作者： Yolanda lópez del Hoyo Matilde Elices Javier Garcia-Campayo Department of Psychology and Sociology University of ZaragozaZaragoza 50009Spain Mental Health Research Group Hospital del Mar Medical Research InstituteBarcelona 08003Spain Department of Psychiatry Miguel Servet HospitalAragon Institute for Health ResearchUniversity of ZaragozaZaragoza 50009Spain

Current rates of mental illness are *** illness mainly affects females and younger age *** use of the internet to deliver mental health care has been growing since 2020 and includes the implementation of novel mental health treatments using virtual reality,augmented reality,and artificial intelligence.A new three dimensional digital environment,known as the metaverse,has emerged as the next version of the *** intelligence,augmented reality,and virtual reality will create fully immersive,experiential,and interactive online environments in the *** will use a unique avatar to do anything they do in their“real”lives,including seeking and receiving mental health *** this opinion review,we reflect on how the metaverse could reshape how we deliver mental health treatment,its opportunities,and its challenges.

关键词： Metaverse Virtual world Artificial intelligence Mental health Virtual reality Augmented reality Technology

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Neuroprotective effects of G9a inhibition through modulation of peroxisome-proliferator activator receptor gamma-dependent pathways by miR-128

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Neural Regeneration Research 2024年第11期19卷 2532-2542页

作者： Aina Bellver-Sanchis Pedro AAvila-lópez Iva Tic David Valle-García Marta Ribalta-Vilella luis labrador Deb Ranjan Banerjee Ana Guerrero Gemma Casadesus Coralie Poulard Mercè Pallàs Christian Grinán-Ferré Department of Pharmacology and Therapeutic Chemistry Institut de Neurociències-Universitat de BarcelonaBarcelonaSpain Department of Biochemistry and Molecular Genetics Feinberg School of MedicineNorthwestern UniversityChicagoILUSA Institute of Biotechnology National Autonomous University of MexicoCuernavacaMexico Department of Pharmacology and Therapeutics Health Science Center-University of FloridaGainesvilleFLUSA Department of Chemistry National Institute of Technology DurgapurM G AvenueDurgapurWest BengalIndia Cancer Research Cancer lyon Universitéde LyonLyonFrance Inserm U1052 Centre de Recherche en Cancérologie de LyonLyonFrance CNRS UMR5286 Centre de Recherche en Cancérlogie de LyonLyonFrance Centro de Investigación en Red Enfermedades Neurodegenerativas(CIBERNED)Instituto de Salud Carlos IIIMadridSpain Neuroimmunology Department National Institute of Neurology and Neurosurgery“Manuel Velasco Suárez”Mexico CityMexico

Dysregulation of G9a,a histone-lysine N-methyltransferase,has been observed in Alzheimer’s disease and has been correlated with increased levels of chronic inflammation and oxidative ***,microRNAs are involved in many biological processes and diseases playing a key role in pathogenesis,especially in multifactorial diseases such as Alzheimer’s ***,our aim has been to provide partial insights into the interconnection between G9a,microRNAs,oxidative stress,and *** better understand the biology of G9a,we compared the global microRNA expression between senescence-accelerated mouse-prone 8(SAMP8)control mice and SAMP8 treated with G9a inhibitor *** found a downregulation of miR-128 after a G9a inhibition treatment,which interestingly binds to the 3′untranslated region(3′-UTR)of peroxisome-proliferator activator receptor γ(PPARG)***,Pparg gene expression levels were higher in the SAMP8 group treated with G9a inhibitor than in the SAMP8 control *** also observed modulation of oxidative stress responses might be mainly driven Pparg after G9a *** confirm these antioxidant effects,we treated primary neuron cell cultures with hydrogen peroxide as an oxidative *** this setting,treatment with G9a inhibitor increases both cell survival and antioxidant ***,up-regulation of PPARγby G9a inhibitor could also increase the expression of genes involved in DNA damage responses and *** addition,we also described that the PPARγ/AMPK axis partially explains the regulation of autophagy markers ***,PPARγ/GADD45αpotentially contributes to enhancing synaptic plasticity and neurogenesis after G9a ***,we propose that pharmacological inhibition of G9a leads to a neuroprotective effect that could be due,at least in part,by the modulation of PPARγ-dependent pathways by miR-128.

关键词： aging cognitive decline epigenetics G9a inhibition microRNAs miR-128 peroxisome-proliferator activator receptorγ(PPARγ) PPARG SAMP8

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Metastatic pancreatic and lung cancer patient in complete remission following immunotherapy: A case report and review of literature

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World Journal of Gastrointestinal Oncology 2024年第5期16卷 2233-2240页

作者： Joaquina Martínez-Galán Cristina Jiménez-luna Isabel Rodriguez Elisabeth Maza Carlos García-Collado Antonio Rodríguez-Fernández Javier luis lópez-Hidalgo Octavio Caba Department of Medical Oncology Virgen de las Nieves University HospitalGranada 18014Spain Instituto de Investigación Biosanitaria Ibs.GranadaGranada 18012Spain Institute of Biopathology and Regenerative Medicine(IBIMER) University of GranadaGranada 18016Spain Pharmacogenetics Unit Virgen de las Nieves University HospitalGranada 18014Spain Department of Medicina Nuclear Virgen de las Nieves University HospitalGranada 18014Spain Department of Anatomía Patológica Virgen de las Nieves University HospitalGranada 18014Spain

BACKGROUND Metastatic pancreatic ductal adenocarcinoma(PDAC)is a lethal malignancy with dispiriting survival *** is a promising approach to many cancer types,but achieves poor outcomes in advanced PDAC due to its immunosuppressive tumor *** describe a case of metastatic PDAC effectively treated with *** SUMMARY We report the case of a 67-year-old woman with unresectable locally advanced PDAC,treated with gemcitabine plus nab-paclitaxel followed by radiotherapy plus *** nine months,pancreatic tumor progression was observed at the level of the hepatic hilum with the appearance of a new pulmonary nodule suggestive of a second primary,confirmed by left lung *** immunotherapy was then initiated with pembrolizumab,an immune checkpoint inhibitor targeting programmed cell death protein-1 that covers the two tumor *** patient showed a complete metabolic response that was maintained throughout the *** patient continues to be disease-free at 5.6 years since the start of *** These results suggest that the administration of pembrolizumab after chemoradiotherapy has a beneficial effect in patients with metastatic *** our knowledge,this is the first reported case of a patient with metastatic PDAC and metastatic lung cancer showing such a long-lasting complete response after pembrolizumab treatment without curative *** studies are required to determine biomarkers that identify PDAC patients most likely to benefit from this immunotherapy.

关键词： Pancreatic ductal adenocarcinoma lung cancer Immunotherapy Pembrolizumab Programmed cell death protein-1 Case report

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中国户籍登记系统漏登合成估计方法研究

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系统科学与数学 2024年

作者：黄艳华 lópez-carr David 胡桂华重庆工商大学成渝地区双城经济圈建设研究院 University of California Santa Barbara Department of Geography 重庆工商大学数学与统计学院统计智能计算与监测重庆市重点实验室

中国户籍登记系统存在漏登人口问题,但政府部门尚未开展户籍漏登估计工作.联合国统计司建议各国采用的单重漏登估计量未覆盖全部漏登人口,低估漏登率.本文提出用合成漏登估计量替代单重漏登估计量,并通过案例研究,比较了合成漏登估计量... 详细信息

中国户籍登记系统存在漏登人口问题,但政府部门尚未开展户籍漏登估计工作.联合国统计司建议各国采用的单重漏登估计量未覆盖全部漏登人口,低估漏登率.本文提出用合成漏登估计量替代单重漏登估计量,并通过案例研究,比较了合成漏登估计量与单重漏登估计量.实证研究结果表明:四种合成漏登估计量估计的漏登率均高于单重漏登估计量;除其中一种合成漏登估计量估计的漏登率的抽样标准差略高于单重漏登估计量外,其他三种合成漏登估计量估计结果的抽样标准差均小于单重漏登估计量.研究结果为统计局和公安部未来制定户籍登记系统漏登估计方案提供重要参考,提高方案的科学性和可操作性.

关键词：抽样调查事后分层三系统估计量刀切法

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Management of lateral pelvic lymph nodes in rectal cancer:Is it time to reach an Agreement?

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World Journal of Clinical Oncology 2024年第4期15卷 472-477页

作者： Sigfredo E Romero-Zoghbi Fernando lópez-Campos Felipe Couñago Department of Radiation Oncology GenesisCareTalavera de la Reina 45600ToledoSpain Department of Radiation Oncology Hospital Universitario Ramón Y CajalMadrid 28034Spain Department of Radiation Oncology GenesisCare-Hospital Universitario Vithas Madrid La MilagrosaMadrid 28010Spain

In this editorial,we proceed to comment on the article by Chua et al,addressing the management of metastatic lateral pelvic lymph nodes(mllN)in stage II/III rectal cancer patients below the peritoneal *** treatment of this nodal area sparks significant controversy due to the strategic differences followed by Eastern and Western physicians,albeit with a higher degree of convergence in recent *** dissection of lateral pelvic lymph nodes without neoadjuvant therapy is a standard practice in Eastern *** contrast,in the West,preference leans towards opting for neoadjuvant therapy with chemoradiotherapy or radiotherapy,that would cover the treatment of this area without the need to add the dissection of these nodes to the total mesorectal *** the presence of high-risk nodal characteristics for mllN related to radiological imaging and lack of response to neoadjuvant therapy,the risk of lateral local recurrence increases,suggesting the appropriate selection of strategies to reduce the risk of recurrence in each patient *** the heterogeneous and retrospective nature of studies addressing this area,an international consensus is necessary to approach this clinical scenario uniformly.

关键词： Rectal cancer lateral pelvic lymph node metastases Pelvic lymph node dissection Total neoadjuvant therapy Selective management of the lateral pelvic nodes Prophylactic management of the lateral pelvic nodes Chemoradiotherapy Total mesorectal excision

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Impact of device resistances in the performance of graphene‑based terahertz photodetectors

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Frontiers of Optoelectronics 2024年第2期17卷 87-97页

作者： O.Castelló Sofía M.lópez Baptista K.Watanabe T.Taniguchi E.Diez J.E.Velázquez-Pérez Y.M.Meziani J.M.Caridad J.A.Delgado-Notario Department of Applied Physics University of Salamanca37008 SalamancaSpain Unidad de Excelencia en luz y Materia Estructurada(lUMES) University of Salamanca37008 SalamancaSpain Research Center for Electronic and Optical Materials National Institute for Materials Science1-1 NamikiTsukuba 305-0044Japan Research Center for Materials Nanoarchitectonics National Institute for Materials Science1-1 NamikiTsukuba 305-0044Japan Nanotechnology Group USAL-NanolabUniversity of Salamanca37008 SalamancaSpain

In recent years,graphene field-effect-transistors(GFETs)have demonstrated an outstanding potential for terahertz(THz)photodetection due to their fast response and *** features are essential to enable emerging THz applications,including 6G wireless communications,quantum information,bioimaging and ***,the overall performance of these photodetectors may be utterly compromised by the impact of internal resistances presented in the device,so-called access or parasitic *** this work,we provide a detailed study of the influence of internal device resistances in the photoresponse of high-mobility dual-gate GFET *** dual-gate architectures allow us to fine tune(decrease)the internal resistance of the device by an order of magnitude and consequently demonstrate an improved responsivity and noise-equivalent-power values of the photodetector,*** results can be well understood by a series resistance model,as shown by the excellent agreement found between the experimental data and theoretical *** findings are therefore relevant to understand and improve the overall performance of existing high-mobility graphene photodetectors.

关键词： Graphene THz Photodetector Field-effect transistor Plasmonic

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人口统计分析模型与人口普查净误差估计

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系统科学与数学 2024年

作者：余鲁李婷 David lópez-Carr 胡桂华吴笛漆莉重庆工商大学数学与统计学院 Department of Geography America University of California 重庆工商大学统计智能计算与监测重庆市重点实验室

本文旨在引入美国的人口统计分析模型,建立适合于在我国应用的人口统计分析模型.采取文献解读法和概率模型法,研究人口统计分析模型及其相关问题.研究结果表明:人口统计分析模型在我国的研究尚处于起步阶段,建立我国的人口统计分析模型... 详细信息

本文旨在引入美国的人口统计分析模型,建立适合于在我国应用的人口统计分析模型.采取文献解读法和概率模型法,研究人口统计分析模型及其相关问题.研究结果表明:人口统计分析模型在我国的研究尚处于起步阶段,建立我国的人口统计分析模型,不能照搬美国的人口统计分析模型,而应该结合我国实际情况有所改进与创新;建立人口统计分析模型分为两个层次,一是建立基于全面资料的人口统计分析模型,无需计算抽样方差,二是建立基于抽样调查资料的人口统计分析模型,需采用刀切法近似计算其抽样方差;人口统计分析模型的优势是,充分利用了出生、死亡及国际迁移等人口行政记录资料,节约了数据采集成本,与人口普查独立,劣势是,估计结果具有不确定性,尤其是其中的国际净迁移人数的估计结果差异较大.人口统计分析模型有望应用于我国2030年人口普查净误差估计,开创我国在该领域使用人口统计分析模型的先河.

关键词：人口普查人口普查质量评估行政记录抽样调查刀切法

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Genomic selection in plant breeding:Key factors shaping two decades of progress

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Molecular Plant 2024年第4期17卷 552-578页

作者： Admas Alemu Johanna Astrand Osval A.Montesinos-lópez Julio Isidro y Sanchez Javier Fernandez-Gónzalez Wuletaw Tadesse Ramesh R.Vetukuri Anders S.Carlsson Alf Ceplitis JoséCrossa Rodomiro Ortiz Aakash Chawade Department of Plant Breeding Swedish University of Agricultural SciencesAlnarpSweden lantmannen lantbruk SvalövSweden Facultad de Telematica University de ColimaColimaColima 28040Mexico Centro de Biotecnología y Genómica de Plantas(CBGP UPM-INIA)Universidad Politécnica de Madrid(UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria(INIA)Campus de Montegancedo-UPM28223 MadridSpain International Center for Agricultural Research in the Dry Areas(ICARDA) RabatMorocco International Maize and Wheat Improvement Center(CIMMYT) Km 45Carretera México-VeracruzTexcocoMéxico 52640Mexico

Genomic selection,the application of genomic prediction(GP)models to select candidate individuals,has significantly advanced in the past two decades,effectively accelerating genetic gains in plant *** article provides a holistic overview of key factors that have influenced GP in plant breeding during this *** delved into the pivotal roles of training population size and genetic diversity,and their relationship with the breeding population,in determining GP *** emphasis was placed on optimizing training population *** explored its benefits and the associated diminishing returns beyond an optimum *** was done while considering the balance between resource allocation and maximizing prediction accuracy through current optimization *** density and distribution of single-nucleotide polymorphisms,level of linkage disequilibrium,genetic complexity,trait heritability,statistical machine-learning methods,and non-additive effects are the other vital *** wheat,maize,and potato as examples,we summarize the effect of these factors on the accuracy of GP for various *** search for high accuracy in GP—theoretically reaching one when using the Pearson’s correlation as a metric—is an active research area as yet far from optimal for various *** hypothesize that with ultra-high sizes of genotypic and phenotypic datasets,effective training population optimization methods and support from other omics approaches(transcriptomics,metabolomics and proteomics)coupled with deep-learning algorithms could overcome the boundaries of current limitations to achieve the highest possible prediction accuracy,making genomic selection an effective tool in plant breeding.

关键词： genomic selection genetic gain genomic prediction optimization deep learning training population optimization

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Impact of data balancing a multiclass dataset before the creation of association rules to study bacterial vaginosis

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Intelligent Medicine 2024年第3期4卷 188-199页

作者： Freddy de la Cruz-Ruiz Juana Canul-Reich Rafael Rivera-lópez Erick de la Cruz-Hernández Academic Division of Science and Technology of the Information Juárez Autonomous University of TabascoLa Esmeralda DistrictTabascoMexico Department of Systems National Technological Institute of MexicoTechnological Institute of VeracruzVeracruzMexico Multidisciplinary Academic Division of Comalcalco Juárez Autonomous University of TabascoTabascoMexico

Background Bacterial vaginosis is a polymicrobial syndrome in which the homeostasis exerted by the latobacillus species that protect the vaginal mucosa has been *** study explored the data balancing process with the intention of improving the quality of association *** article aimed to balance the unbalanced multiclass dataset to improve association rule *** A dataset with 201 observations and 58 variables was analyzed.A preconstructed dataset was *** authors collected the data between August 2016 and October 2018 in Tabasco,*** study population comprised sexually active women ages 18 to 50 who underwent gynecological inspection at the infectious and metabolic diseases research laboratory at the Universidad Juarez Autonoma de *** determine the best κ-value,the random-forest algorithm was used and the balancing was performed with the synthetic minority over-sampling technique(SMOTE),random over-sampling examples(ROSE),and adaptive syntetic sampling approach for imbalanced learning(ADASYN)*** Apriori algorithm created the rules and to select rules with statistical significance,the ***(),***(),and ***()functions and quality metric Fisher’s exact tes were *** biological validation was carried out by the expert(bacteriologist).Results The ADASYN algorithm at K=9 the out of the bag(OOB)error was zero,this was the best𝐾-*** the balancing process the ADASYN algorithm show best the *** the dataset balanced with ADASYN,the apriori algorithm created the association rules and the selection with the quality metric Fisher’s exact test,and the biological validation reported 13 ***-bacteria Atopobium vaginae,Gardnerella vaginalis,Megasphaera filotipo 1,Mycoplasma hominis and Ureaplasma parvum were detected by the apriori algorithm from the balanced *** Balancing may improve the creation of association rules to efficiently model the bacteria that cause bac

关键词： Bacterial vaginosis Data balancing Random forest Synthetic minority over-sampling technique

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