Forkhead Box O1 (FOXO1) has been reported to play important roles in many tumors. However, FOXO1 has not been studied in pan-cancer. The purpose of this study was to reveal the roles of FOXO1 in pan-cancer (33 cancers in this study). Through multiple public platforms, a pan-cancer analysis of FOXO1 was conducted to obtained FOXO1 expression profiles in various tumors to explore the relationship between FOXO1 expression and prognosis of these tumors and to disclose the potential mechanism of FOXO1 in these tumors. FOXO1 was associated with the prognosis of multiple tumors, especially LGG (low grade glioma), OV (ovarian carcinoma), and KIRC (kidney renal clear cell carcinoma). FOXO1 might play the role of an oncogenic gene in LGG and OV, while playing the role of a cancer suppressor gene in KIRC. FOXO1 expression had a significant correlation with the infiltration of some immune cells in LGG, OV, and KIRC. By combining FOXO1 expression and immune cell infiltration, we found that FOXO1 might influence the overall survival of LGG through the infiltration of myeloid dendritic cells or CD4+ T cells. Functional enrichment analysis and gene set enrichment analysis showed that FOXO1 might play roles in tumors through immunoregulatory interactions between a lymphoid and a non-lymphoid cell, TGF-beta signaling pathway, and transcriptional misregulation in cancer. FOXO1 was associated with the prognosis of multiple tumors, especially LGG, OV, and KIRC. In these tumors, FOXO1 might play its role via the regulation of the immune microenvironment. O FOXO (FOXO1 However pancancer. pancancer pan 33 (3 study. . study) platforms low glioma, glioma , glioma) ovarian carcinoma, carcinoma carcinoma) kidney carcinoma. CD4 CD nonlymphoid non TGFbeta TGF beta pathway microenvironment (FOXO 3 (

ABSTRACT This study aimed to prepare Ganoderma-based activated carbons for chemical adsorption and catalyzing N-(phosphonomethyl)iminodiacetic acid to glyphosate. The activated carbons were prepared by applying different activation conditions. These carbon samples were applied to catalyze N-(phosphonomethyl)iminodiacetic acid to glyphosate. The results showed that the black Ganoderma char activated at 800 °C for 90 min using 40% phosphoric acid had the highest methylene blue adsorption capacity and DPPH scavenging activities, but the methylene blue adsorption capacity of the black Ganoderma sample activated at 800 °C for 90 min using 40% acid-base solution was lower than the red AC sample. These carbon samples had high thermal stability. Chemical modifications of these chars with the carbon modifiers at an optimized activation condition increased the Langmuir-specific surface areas of these carbon samples up to 2055.09 m2/g. The carbon sample of black Ganoderma activated using the 40% acid-base solution at 800 °C for 90 min and coupled with the addition of hydrogen peroxide during ultrasonication and microwave-assisted reactions had the highest glyphosate catalyzing rate. The glyphosate yield obtained from the catalyzing at atmospheric pressure was 58.78 ± 0.28%. These Ganoderma-based activated carbons can replace other carbon materials for catalysis applications and as adsorbents in food and pharmaceutical industries. Ganodermabased based Nphosphonomethyliminodiacetic N phosphonomethyl iminodiacetic conditions 80 C 9 40 activities acidbase base stability Langmuirspecific Langmuir specific 205509 2055 09 2055.0 m2g mg m2 g m m2/g microwaveassisted microwave assisted rate 5878 58 78 58.7 028 0 28 0.28% industries 8 4 20550 205 2055. 587 5 7 58. 02 2 0.28 20 0.2 0.

Abstract NCED1 (9-cis-epoxy carotenoid dioxygenase) plays important roles in controlling ABA levels and drought stress tolerance. The relationships between sequence polymorphisms of the TaNCED1 gene and drought resistance in wheat were analysed. Four allelic variations of the TaNCED1-5B generated to drought resistance were identified. Four groups of KASP (kompetitive allele-specific PCR) markers were developed based on the four alleles and were verified in a natural population of 311 wheat cultivars. The distribution of the four alleles of TaNCED1-5B in the natural population was clarified. Among the allelic variations, 84.62% of the wheat varieties with TT/-/C/-,TT/C/C/-,TT/-/C/G or TT/C/C/G haplotypes were dryland cultivars. The common feature of the above four haplotypes is that they all contain the TT (98) and C (343) alleles at the TaNCED1-5B-TT/CG (98) and TaNCED1-5B-C/T (343) loci, which indicated that these two locis had highly positive correlation with drought resistance in wheat. NCED 9cisepoxy cisepoxy 9 cis epoxy dioxygenase tolerance TaNCED analysed TaNCED15B TaNCEDB 5B B identified kompetitive allelespecific allele specific PCR 31 cultivars clarified 8462 84 62 84.62 TT//C/,TT/C/C/,TT//C/G TTCTTCCTTCG TT/ /C/ ,TT/C/C/ ,TT/ /C/G G TTCCG 98 (98 343 (343 TaNCED15BTT/CG TaNCED15BTTCG TaNCEDBTTCG TT/CG CG TaNCED15BC/T TaNCED15BCT TaNCEDBCT C/T T loci 3 846 8 6 84.6 /C TTCC ,TT/C/C ,TT (9 34 (34 TaNCED15BTT BTT BTTCG TTCG TaNCED15BC BC BCT CT 84. ( (3 TaNCEDBTT TaNCEDBC

ABSTRACT Intelligent apple-harvesting robots use a staggered distribution of branches and leaves during operation, causing problems such as slow motion planning, low operational efficiency, and high path cost for multi-degrees-of-freedom (DOF) harvesting manipulators. This study presents an autonomous apple-harvesting robotic arm-hand composite system that aims to improve the operational efficiency of intelligent harvesting in dwarf anvil-planted apple orchards. The machine vision system for fruit detection uses the deep learning convolutional neural network (CNN) YOLOv7 and RGB-D camera online detection coupling technology to rapidly recognise apples. The spatial depth information of the fruit area was then extracted from the aligned depth image for precise positioning. Coordinate transformation was used to obtain the coordinates of the fruit under the coordinate system of the manipulator. Based on the informed rapid-exploration random tree (Informed-RRT*) algorithm and path-planning model, the identified target apples were harvested without collision path planning. In an apple-harvesting test, the recognition accuracy of the visual system was 89.4%, and the average time to harvest a single apple was 9.69 s, which was 4.8% faster than the mainstream general harvesting technology. Moreover, the harvesting time for a single apple was reduced by 1.7%. Thus, the proposed system enabled accurate and efficient fruit harvesting. appleharvesting operation planning multidegreesoffreedom multi degrees freedom DOF (DOF manipulators armhand arm hand anvilplanted anvil planted orchards CNN (CNN YOLOv RGBD RGB D positioning manipulator rapidexploration rapid exploration InformedRRT* InformedRRT Informed RRT* RRT (Informed-RRT* pathplanning model test 894 89 4 89.4% 969 9 69 9.6 s 48 8 4.8 Moreover 17 1 7 1.7% Thus (Informed-RRT 89.4 96 6 9. 4. 1.7 89. 1.

RESUMO Os robôs de colheita inteligente de maçãs têm uma distribuição escalonada de galhos e folhas durante a operação, o que causa problemas como o planejamento de movimentos lentos, a baixa eficiência operacional e o alto custo de trajetória dos manipuladores de colheita com vários graus de liberdade (DOF). Este artigo apresenta um sistema composto de braço-mão robótico autônomo para colheita de maçãs que visa melhorar a eficiência operacional da colheita inteligente em pomares de maçãs plantadas com anéis anões. O sistema de visão mecânica para detecção de frutas usa a rede neural convolucional de aprendizagem profunda (CNN) YOLOv7 e uma tecnologia de acoplamento de detecção on-line de câmera RGB-D para reconhecer rapidamente as maçãs. Em seguida, as informações de profundidade espacial da área da fruta são extraídas da imagem de profundidade alinhada para um posicionamento preciso. A transformação de coordenadas é usada para obter as coordenadas da fruta no sistema de coordenadas do manipulador. Com base no algoritmo de árvore aleatória de exploração rápida informada (Informed-RRT*) e no modelo de planejamento de caminho, as maçãs-alvo identificadas são colhidas sem planejamento de caminho de colisão. Em um teste de colheita de maçãs, a precisão do reconhecimento do sistema visual foi de 89,4%, e o tempo médio de colheita de uma única maçã foi de 9,69 s, 4,8% mais rápido do que a tecnologia de colheita geral convencional. Além disso, o tempo de colheita de uma única maçã foi reduzido em 1,7%. Assim, o sistema proposto permite uma colheita de frutas precisa e eficiente. operação lentos DOF. DOF . (DOF) braçomão braço mão anões CNN (CNN YOLOv online on line RGBD RGB D seguida preciso manipulador InformedRRT* InformedRRT Informed RRT* RRT (Informed-RRT* maçãsalvo alvo colisão 894 89 4 89,4% 969 9 69 9,6 s 48 8 4,8 convencional disso 17 1 7 1,7% Assim eficiente (DOF (Informed-RRT 89,4 96 6 9, 4, 1,7 89, 1,

Emerging evidence demonstrates that curcumin has an inhibitory effect on non-small cell lung cancer (NSCLC), and its targets and mechanism of action need further exploration. The goal of this study was to explore the potential targets and mechanism of curcumin against NSCLC by network pharmacology, bioinformatics, and experimental validation, thereby providing more insight into combination treatment with curcumin for NSCLC in preclinical and clinical research. Curcumin targets against NSCLC were predicted based on HIT2.0, STD, CTD, and DisGeNET, and the core targets were analyzed via protein-protein interaction network construction (PPI), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and molecular docking. The gene expression levels of samples in A549 cells, NCI-H460, and curcumin treated groups were detected by real-time quantitative PCR. A total of 67 common targets between curcumin and NSCLC were collected by screening public databases. GO and KEGG analysis suggested that curcumin treatment of NSCLC mainly involves cancer-related pathways, such as PI3K-AKT signaling pathway, Foxo signaling pathway, microRNAs, MAPK signaling pathway, HIF-1 signaling pathway, etc. The targets with the highest degree were identified through the PPI network, namely CASP3, CTNNB1, JUN, IL6, MAPK3, HIF1A, STAT3, AKT1, TP53, CCND1, VEGFA, and EGFR. The results of the in vitro experiments showed that curcumin treatment of NSCLC down-regulated the gene expressions of CCND1, CASP3, HIF1A, IL-6, MAPK3, STAT3, AKT1, and TP53. Our findings revealed that curcumin functions as a potential therapeutic candidate for NSCLC by suppressing multiple signaling pathways and interacting with multiple gene targets. nonsmall non small NSCLC, , (NSCLC) exploration pharmacology bioinformatics validation research HIT20 HIT HIT2 0 HIT2.0 STD CTD DisGeNET proteinprotein protein PPI, (PPI) GO, (GO) KEGG, (KEGG) docking A54 cells NCIH460, NCIH460 NCIH NCI H460, H460 H NCI-H460 realtime real time PCR 6 databases cancerrelated related PI3KAKT PIKAKT PI3K AKT PI K pathway microRNAs HIF1 HIF 1 HIF- etc CASP3 CASP CTNNB1 CTNNB JUN IL6 IL MAPK3 HIF1A HIFA STAT3 STAT AKT1 TP53 TP CCND1 CCND VEGFA EGFR downregulated down regulated 6, IL-6 (NSCLC HIT2. (PPI (GO (KEGG A5 NCIH46 H46 NCI-H46 KAKT PIK TP5 IL- NCIH4 H4 NCI-H4 NCI-H

Resumo Antecedentes O diagnóstico precoce da doença de Alzheimer (DA) e do comprometimento cognitivo leve (CCL) continua sendo um desafio significativo na neurologia, com métodos convencionais frequentemente limitados pela subjetividade e variabilidade na interpretação. A integração da aprendizagem profunda com a inteligência artificial (IA) na análise de imagens de ressonância magnética surge como uma abordagem transformadora, oferecendo o potencial para insights diagnósticos imparciais e altamente precisos. Objetivo Uma metanálise foi projetada para analisar a precisão diagnóstica do aprendizado profundo de imagens de ressonância magnética em modelos de DA e CCL. Métodos Uma metanálise foi realizada nos bancos de dados das bibliotecas PubMed, Embase e Cochrane seguindo as diretrizes Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), com foco na precisão diagnóstica do aprendizado profundo. Posteriormente, a qualidade metodológica foi avaliada por meio do checklist QUADAS-2. Medidas diagnósticas, incluindo sensibilidade, especificidade, razões de verossimilhança, razão de chances diagnósticas e área sob a curva característica de operação do receptor (area under the receiver operating characteristic curve [AUROC]) foram analisadas, juntamente com análises de subgrupo para ressonância magnética ponderada em T1 e não ponderada em T1. Resultados Um total de 18 estudos elegíveis foram identificados. O coeficiente de correlação de Spearman foi de -0,6506. A metanálise mostrou que a sensibilidade e a especificidade combinadas, a razão de verossimilhança positiva, a razão de verossimilhança negativa e a razão de chances de diagnóstico foram 0,84, 0,86, 6,0, 0,19 e 32, respectivamente. A AUROC foi de 0,92. O ponto quiescente do resumo hierárquico da característica de operação do receptor (hierarchical summary of receiver operating characteristic [HSROC]) foi 3,463. Notavelmente, as imagens de 12 estudos foram adquiridas apenas por ressonância magnética ponderada em T1, e as dos outros 6 foram obtidas apenas por ressonância magnética não ponderada em T1. Conclusão Em geral, a aprendizagem profunda da ressonância magnética para o diagnóstico de DA e CCL mostrou boa sensibilidade e especificidade e contribuiu para melhorar a precisão diagnóstica. (DA (CCL neurologia interpretação IA (IA transformadora precisos PubMed MetaAnalyses Meta Analyses PRISMA, PRISMA , (PRISMA) Posteriormente QUADAS2. QUADAS2 QUADAS 2. 2 QUADAS-2 area [AUROC] analisadas T 1 identificados 0,6506. 06506 0 6506 -0,6506 combinadas positiva 084 84 0,84 086 86 0,86 60 6,0 019 19 0,1 32 respectivamente 092 92 0,92 hierarchical HSROC [HSROC] 3463 3 463 3,463 Notavelmente geral (PRISMA QUADAS- [AUROC 0,6506 0650 650 -0,650 08 8 0,8 6, 01 0, 09 9 0,9 [HSROC 346 46 3,46 0,650 065 65 -0,65 34 4 3,4 0,65 06 -0,6 3, 0,6 -0, -0 -

Abstract Background The early diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains a significant challenge in neurology, with conventional methods often limited by subjectivity and variability in interpretation. Integrating deep learning with artificial intelligence (AI) in magnetic resonance imaging (MRI) analysis emerges as a transformative approach, offering the potential for unbiased, highly accurate diagnostic insights. Objective A meta-analysis was designed to analyze the diagnostic accuracy of deep learning of MRI images on AD and MCI models. Methods A meta-analysis was performed across PubMed, Embase, and Cochrane library databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, focusing on the diagnostic accuracy of deep learning. Subsequently, methodological quality was assessed using the QUADAS-2 checklist. Diagnostic measures, including sensitivity, specificity, likelihood ratios, diagnostic odds ratio, and area under the receiver operating characteristic curve (AUROC) were analyzed, alongside subgroup analyses for T1-weighted and non-T1-weighted MRI. Results A total of 18 eligible studies were identified. The Spearman correlation coefficient was -0.6506. Meta-analysis showed that the combined sensitivity and specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.84, 0.86, 6.0, 0.19, and 32, respectively. The AUROC was 0.92. The quiescent point of hierarchical summary of receiver operating characteristic (HSROC) was 3.463. Notably, the images of 12 studies were acquired by T1-weighted MRI alone, and those of the other 6 were gathered by non-T1-weighted MRI alone. Conclusion Overall, deep learning of MRI for the diagnosis of AD and MCI showed good sensitivity and specificity and contributed to improving diagnostic accuracy. Alzheimers Alzheimer s (AD (MCI neurology interpretation AI (AI (MRI approach unbiased insights metaanalysis meta models PubMed Embase MetaAnalyses Meta Analyses PRISMA (PRISMA guidelines Subsequently QUADAS2 QUADAS 2 QUADAS- checklist measures ratios (AUROC analyzed T1weighted Tweighted T1 weighted T nonT1weighted nonTweighted non 1 identified 0.6506. 06506 0 6506 -0.6506 Metaanalysis 084 84 0.84 086 86 0.86 60 6.0 019 19 0.19 32 respectively 092 92 0.92 HSROC (HSROC 3463 3 463 3.463 Notably alone Overall nonT 0.6506 0650 650 -0.650 08 8 0.8 6. 01 0.1 09 9 0.9 346 46 3.46 0.650 065 65 -0.65 0. 34 4 3.4 0.65 06 -0.6 3. 0.6 -0. -0 -

ABSTRACT Introduction: New-onset postoperative atrial fibrillation (POAF) is a common complication following coronary artery bypass grafting (CABG) surgery. Objective: To explore predictive factors and potential mechanisms of new-onset POAF in isolated off-pump CABG patients. Methods: Retrospective observational case-control study of 233 patients undergoing isolated off-pump CABG surgery between August 2018 and July 2020 at the Department of Thoracic and Cardiovascular Surgery, the Affiliated Drum Tower Hospital of Nanjing University Medical School. Associations between predictor variables and new-onset POAF were identified. The main outcome was new-onset POAF after CABG surgery. Results: A total of 75 (32.19%) patients developed new-onset POAF after CABG surgery. The new-onset POAF patients had advanced age, higher baseline systolic blood pressure, more preoperative use of diuretic drug, more transfusion of blood products, atrial dilation and postoperative positive inotropic drug treatment. Nineteen variates entered the multivariable logistic regression model with a Hosmer-Lemeshow test score of 7.565 (P=0.477). Postoperative left atrial enlargement, postoperative drainage in the first 24 hours and total length of hospital stay were statistically significant, while postoperative right atrial enlargement (OR and 95% CI, 7.797 [0.200, 304.294], P=0.272) and left atrial enlargement (3.524 [1.141, 10.886], P=0.029) assessed by echocardiography had the largest OR value. Conclusion: Atrial enlargement is strongly associated with new-onset POAF in patients with isolated off-pump CABG, thus it highlights the advantage of echocardiography as a useful tool for predicting new-onset POAF. Careful monitoring and timely intervention should be considered for these patients. Introduction Newonset New onset (POAF (CABG Objective newonset new offpump off pump Methods casecontrol case control 23 201 202 Surgery School identified Results 7 32.19% 3219 32 19 (32.19% age pressure products treatment HosmerLemeshow Hosmer Lemeshow 7565 565 7.56 P=0.477. P0477 P P=0.477 . 0 477 (P=0.477) 2 significant 95 CI 7797 797 7.79 0.200, 0200 200 [0.200 304.294, 304294 304.294 , 304 294 304.294] P=0.272 P0272 272 3.524 3524 3 524 (3.52 1.141, 1141 1 141 [1.141 10.886, 10886 10.886 10 886 10.886] P=0.029 P0029 029 value Conclusion 20 32.19 321 (32.19 756 56 7.5 P047 P=0.47 47 (P=0.477 9 779 79 7.7 0.200 020 [0.20 30429 304.29 30 29 P=0.27 P027 27 3.52 352 52 (3.5 1.141 114 14 [1.14 1088 10.88 88 P=0.02 P002 02 32.1 (32.1 5 7. P04 P=0.4 4 (P=0.47 77 0.20 [0.2 3042 304.2 P=0.2 P02 3.5 35 (3. 1.14 11 [1.1 108 10.8 8 P=0.0 P00 32. (32. P0 P=0. (P=0.4 0.2 [0. 304. 3. (3 1.1 [1. 10. (32 P=0 (P=0. 0. [0 ( 1. [1 P= (P=0 [ (P= (P

Astragaloside IV is a biologically active substance derived from the traditional Chinese medicine Astragalus mambranaceus Bunge, and has antioxidant, anti-inflammatory, and anti-apoptotic properties. In this study, we aimed to investigate the effects of astragaloside IV on Klebsiella pneumonia rats and the underlying mechanisms. Klebsiella pneumoniae (K. pneumoniae) rats were treated with different dosages of astragaloside IV (5, 10, and 20 mg/kg) by intragastric administration. The levels of pro-inflammatory cytokines interleukin (IL)-6, IL-1β, and tumor necrosis factor (TNF)-α in bronchoalveolar lavage fluid (BALF) were determined. Pathological changes of lung tissue were inspected by HE staining. The expression of transforming growth factor (TGF)-β1 in lung tissue was determined with immunohistochemistry, and the expression levels of TGF-β1, p-Smad2/Smad2, p-Smad3/Smad3, IκBα/p-IκBα, and p65/p-p65 in lung tissue were determined by western blot. The mechanism was further investigated with TGF-β1 inhibitor SB-431542. Astragaloside IV reduced the elevated levels of pro-inflammatory cytokines caused by K. pneumoniae and improved lung tissue damage in a dose-dependent manner. Astragaloside IV also decreased the expression of TGF-β1/Smad signaling pathway-related proteins and decreased the protein levels of inflammation-related p-IκBα and p65 in lung tissues induced by K. pneumoniae. Additionally, it was found that the effects of 20 mg/kg astragaloside IV were similar to SB-431542, which could improve pulmonary fibrosis induced by K. pneumoniae, decrease the levels of TGF-β1/Smad signaling pathway-related proteins in lung, and reduce inflammation at the same time. Astragaloside IV could alleviate the inflammation of rat pneumonia induced by K. pneumoniae through suppressing the TGF-β1/Smad pathway. Bunge antioxidant antiinflammatory, antiinflammatory anti inflammatory, inflammatory anti-inflammatory antiapoptotic apoptotic properties study mechanisms K (K 5, 5 (5 10 2 mgkg mg kg administration proinflammatory pro IL6, IL6 IL 6, 6 (IL)-6 IL1β, IL1β ILβ 1β, 1β β IL-1β TNFα TNF α BALF (BALF staining TGFβ1 TGFβ TGF β1 (TGF)-β immunohistochemistry TGFβ1, β1, pSmad2/Smad2, pSmad2Smad2 pSmadSmad p Smad2/Smad2, Smad2 Smad p-Smad2/Smad2 pSmad3/Smad3, pSmad3Smad3 Smad3/Smad3, Smad3 p-Smad3/Smad3 IκBα/pIκBα, IκBαpIκBα IκBα/p IκBα, IκBα IκBα/p-IκBα p65/pp65 p65pp65 ppp p65/p p65/p-p6 blot TGF-β SB431542. SB431542 SB 431542. 431542 SB-431542 dosedependent dose dependent manner TGFβ1/Smad TGFβ1Smad TGFβSmad β1/Smad pathwayrelated pathway related inflammationrelated pIκBα p6 Additionally SB431542, 431542, time ( 1 (IL)- pSmad2 pSmad pSmad2/Smad2 pSmad2Smad Smad2Smad2 SmadSmad Smad2/Smad2 p-Smad2/Smad pSmad3 pSmad3/Smad3 pSmad3Smad Smad3Smad3 Smad3/Smad3 p-Smad3/Smad IκBα/pIκBα IκBαp pp65 pp p65/pp6 p65pp6 p65p p65/p-p SB43154 43154 SB-43154 β1Smad βSmad (IL) pSmad2/Smad Smad2Smad Smad2/Smad pSmad3/Smad Smad3Smad Smad3/Smad pp6 p65/pp p65pp SB4315 4315 SB-4315 (IL SB431 431 SB-431 SB43 43 SB-43 SB4 4 SB-4 SB-

Abstract Objective To explore the expression levels and clinical value of FKBP10 in lung adenocarcinoma brain metastases. Design A retrospective single-institution cohort study. Patients The perioperative records of 71 patients with lung adenocarcinoma brain metastases who underwent surgical resection at the authors’ institution between November 2012 and June 2019 were retrospectively analyzed. Methods The authors evaluated FKBP10 expression levels using immunohistochemistry in tissue arrays of these patients. Kaplan-Meier survival curves were constructed, and a Cox proportional hazards regression model was used to identify independent prognostic biomarkers. A public database was used to detect FKBP10 expression and its clinical value in primary lung adenocarcinoma. Results The authors found that the FKBP10 protein was selectively expressed in lung adenocarcinoma brain metastases. Survival analysis showed that FKBP10 expression (p = 0.02, HR = 2.472, 95% CI [1.156, 5.289]), target therapy (p < 0.01, HR = 0.186, 95% CI [0.073, 0.477]), and radiotherapy (p = 0.006, HR = 0.330, 95% CI [0.149, 0.731]) were independent prognostic factors for survival in lung adenocarcinoma patients with brain metastases. The authors also detected FKBP10 expression in primary lung adenocarcinoma using a public database, found that FKBP10 is also selectively expressed in primary lung adenocarcinoma, and affects the overall survival and disease-free survival of patients. Limitations The number of enrolled patients was relatively small and patients’ treatment options varied. Conclusions A combination of surgical resection, adjuvant radiotherapy, and precise target therapy may benefit the survival of selected patients with lung adenocarcinoma brain metastases. FKBP10 is a novel biomarker for lung adenocarcinoma brain metastases, which is closely associated with survival time and may serve as a potential therapeutic target. FKBP FKBP1 singleinstitution single study 7 201 analyzed KaplanMeier Kaplan Meier constructed biomarkers p 002 0 02 0.02 2472 2 472 2.472 95 1.156, 1156 1 156 [1.156 5.289, 5289 5.289 , 5 289 5.289]) 001 01 0.01 0186 186 0.186 0.073, 0073 073 [0.073 0.477, 0477 0.477 477 0.477]) 0006 006 0.006 0330 330 0.330 0.149, 0149 149 [0.149 0.731 0731 731 0.731] diseasefree disease free varied 20 00 0.0 247 47 2.47 9 1.156 115 15 [1.15 528 5.28 28 5.289] 018 18 0.18 0.073 007 07 [0.07 047 0.47 0.477] 000 0.00 033 33 0.33 0.149 014 14 [0.14 0.73 73 0. 24 4 2.4 1.15 11 [1.1 52 5.2 0.1 0.07 [0.0 04 0.4 03 3 0.3 0.14 [0.1 0.7 2. 1.1 [1. 5. [0. 1. [1 [0 [

Abstract Objective The study explored improvements in pulmonary inflammation and fibrosis in a bovine type II collagen-induced rheumatoid arthritis-associated interstitial lung disease mouse model after treatment with baricitinib and the possible mechanism of action. Methods A rheumatoid arthritis-associated interstitial lung disease mouse model was established, siRNA Jak2 and lentiviral vectors were transfected with human embryonic lung fibroblast cells. And the levels of relevant proteins in mouse lung tissue and human embryonic lung fibroblasts were detected by Western blotting. Results The levels of JAK2, p-JAK2, p-STAT3, p-SMAD3, SMA, TGFβR2, FN and COL4 were increased in the lung tissues of model mice (P < 0.5) and decreased after baricitinib intervention (P < 0.05). The expression levels of p-STAT3, p-SMAD3, SMA, TGFβR2, FN and COL4 were reduced after siRNA downregulation of the JAK2 gene (P < 0.01) and increased after lentiviral overexpression of the JAK2 gene (P < 0.01). Conclusion Baricitinib alleviated fibrosis in the lung tissue of rheumatoid arthritis-associated interstitial lung disease mice, and the mechanism of action may involve the downregulation of Smad3 expression via inhibition of the Jak2/Stat3 signaling pathway, with consequent inhibition of the profibrotic effect of transforming growth factor-β1. collageninduced collagen induced arthritisassociated arthritis associated established Jak cells blotting JAK pJAK2, pJAK2 pJAK p p-JAK2 pSTAT3, pSTAT3 pSTAT STAT3, STAT3 STAT p-STAT3 pSMAD3, pSMAD3 pSMAD SMAD3, SMAD3 SMAD p-SMAD3 SMA TGFβR2 TGFβR COL P 0.5 05 0 5 0.05. 005 0.05 . 0.05) 0.01 001 01 0.01. Smad Jak2Stat3 JakStat Stat3 Stat Jak2/Stat pathway factorβ1. factorβ1 factorβ factor β1. β1 β factor-β1 p-JAK p-STAT p-SMAD 0. 00 0.0 Jak2Stat factor-β

Abstract The objective of this work was to establish and validate the dry matter distribution and yield prediction models based on physiological developmental timing, to compare the differences between the dry mass distribution index model and the dry mass distribution coefficient model, for the simulation of ear dry mass and to improve the accuracy of maize growth models for predicting yield. The experiments were conducted in three tropical sites (Longchuan, Mangshi, and Ruili) in the tropical region of Yunnan Province, China. The NRMS of ear dry mass and yield were generally less than 10. The dry mass distribution index method (NRMS = 5.44% and RMSE = 807.22 kg ha-1 for ear dry mass; and NRMS = 7.32% and RMSE = 707.67 kg ha-1 for grain yield) is better than the dry mass distribution coefficient method (NRMS = 7.52% and RMSE = 1115.31 kg ha-1 for ear dry mass; NRMS = 8.6% and RMSE = 830.76 kgha-1 for grain yield) to simulate maize ear dry mass and grain yield. The distribution index model improves the accuracy of the model, which is valuable for future maize production and management in Yunnan. timing Longchuan, Longchuan (Longchuan Mangshi Ruili Province China 10 544 5 44 5.44 80722 807 22 807.2 ha1 ha 1 ha- 732 7 32 7.32 70767 707 67 707.6 752 52 7.52 111531 1115 31 1115.3 86 8 6 8.6 83076 830 76 830.7 kgha1 kgha kgha- 54 4 5.4 8072 80 2 807. 73 3 7.3 7076 70 707. 75 7.5 11153 111 1115. 8. 8307 83 830. 5. 7. 11

Resumo O objetivo deste trabalho foi estabelecer e validar um modelo de previsão de distribuição de massa de matéria seca e de rendimento, com base no tempo de desenvolvimento fisiológico, para comparar as diferenças entre o modelo de índice de distribuição de matéria seca e o modelo de coeficiente de distribuição de matéria seca, para a simulação da massa de matéria seca da espiga e para melhorar a precisão de modelos de crescimento do milho para a previsão de rendimento. Os experimentos foram realizados em três locais (Longchuan, Mangshi e Ruili), na região tropical da província de Yunnan, China. O NRMS da massa de matéria seca e o rendimento da espiga foram geralmente menores que 10. O método do índice de distribuição da massa de matéria seca (NRMS = 5,44% e RMSE = 807,22 kg ha-1 para massa de matéria seca da espiga; e o NRMS = 7,32% e RMSE = 707,67 kg ha-1 para rendimento de grãos) é melhor do que o método do coeficiente de distribuição de massa de matéria seca (NRMS = 7,52% e RMSE = 1115,31 kg ha-1 para massa de matéria seca de espiga; NRMS = 8,6% e RMSE = 830,76 kg ha-1 para rendimento de grãos) para a simulação da massa de matéria seca de espiga e o rendimento de grãos de milho. O modelo do índice de distribuição melhora a precisão do modelo, o que é valioso para o futura produção de milho e seu manejo em Yunnan. fisiológico Longchuan, Longchuan (Longchuan Ruili, Ruili , Ruili) Yunnan China 10 544 5 44 5,44 80722 807 22 807,2 ha1 ha 1 ha- 732 7 32 7,32 70767 707 67 707,6 752 52 7,52 111531 1115 31 1115,3 86 8 6 8,6 83076 830 76 830,7 54 4 5,4 8072 80 2 807, 73 3 7,3 7076 70 707, 75 7,5 11153 111 1115, 8, 8307 83 830, 5, 7, 11

ABSTRACT The objective of this study was to identify differentially expressed genes (DEG) between females and males in early bovine embryos. Superovulated cattle (n = 4) in the age span of 16–18 months were artificially inseminated with semen from the same bull that has been proven to be fertile. Blastocysts were collected by routine non-surgical uterine flushing on day 7 after insemination. This study determines the sex of embryos using a micro-injection pipette to collect a few blastomeres through the Zona pellucida. The remaining blastomeres were used for single-cell RNA sequencing (scRNA-seq) analysis on the Illumina platform, followed by differential expression analysis, Gene Ontology (GO) function analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The criteria for identifying DEG will be set at |log2(Fold change)| ≥ 1 and P<0.05. A total of 8004 DEG were detected in female (Denoted as BLX, n = 3) and male (Denoted as BLY, n = 3) blastocysts. Transcripts highly expressed in the female embryos were related to catalytic activity, nucleotide binding, and catabolic process, while transcripts highly expressed in the male embryos were linked to oxidative phosphorylation, mitochondrion, and the ribosome. Nine genes that may be involved in blastocyst growth and development were screened, suggesting that their differential expression may be responsible for the differences in the development of male and female embryos. This study provides important information on potential genes and pathways associated with differences in early female and male embryonic development. (DEG 4 1618 16 18 16–1 fertile nonsurgical non surgical insemination microinjection micro injection pellucida singlecell single cell scRNAseq scRNA seq (scRNA-seq platform GO (GO KEGG (KEGG |log2Fold log2Fold logFold |log2 Fold log2 log change| change | change) P005 P 0 05 P<0.05 800 Denoted BLX 3 BLY blastocysts activity binding process phosphorylation mitochondrion ribosome screened 161 16– |log P00 P<0.0 80 P0 P<0. 8 P<0 P<

Abstract This study focused on the effect and mechanism of Notch signal on pulmonary microvascular endothelial cells (PMVECs) following acute lung injury. PMVECs were cultured in vitro and randomly divided into eight groups. Grouping was based on whether cells were co-cultured with T cells (splenic CD4+T cells were isolated using MACS microbeads) and the level of Notch expression: Normal group and Normal+T cells group, Model group and Model+T cells group, Notch low-expression group and Notch low-expression+T cells group, and Notch overexpression group and Notch overexpression+T cells group. Except for the Normal group and Normal+T cells group, all other groups were treated with 500 μL lipopolysaccharide (1 μg/mL). The expression of VE-cadherin and Zo-1 protein in the Model group (with or without T cells) was lower than that in the normal group (with or without T cells), their expression in the Notch low-expression group (with or without T cells) was significantly increased, and their expression in the Notch overexpression group (with or without T cells) was significantly decreased. Compared with the normal+T cells group, the number of Treg cells in the Notch low-expression+T cells group decreased significantly (P<0.01). The number of Th17 cells in the Notch overexpression+T cells group was higher than that in the Model+T cells group (P<0.01), while the number of Treg cells decreased (P<0.01). Our results demonstrated that activated Notch signal can down-regulate the expression of the tight junction proteins VE-Cadherin and Zo-1 in PMVECs and affect Th17/Treg immune imbalance. Autophagy was discovered to be involved in this process. (PMVECs injury cocultured co splenic CD4T CDT CD4 CD microbeads NormalT ModelT lowexpression low lowexpression+T lowexpressionT expression+T overexpressionT 50 1 ( μg/mL. μgmL μg/mL . μg mL μg/mL) VEcadherin VE cadherin Zo1 Zo Zo- cells, , increased normalT P<0.01. P001 P P<0.01 0 01 (P<0.01) Th Th1 P<0.01, downregulate down regulate VECadherin Cadherin Th17Treg ThTreg imbalance process expressionT 5 P00 P<0.0 (P<0.01 P0 P<0. (P<0.0 P<0 (P<0. P< (P<0 (P< (P

Abstract Human posture estimation is the basis of many computer vision tasks, such as motion recognition, violence detection and behavior understanding. Therefore, it is of great significance to study the estimation algorithm of human motion posture (HMP). To address the problem of poor estimation effect of traditional HMP estimation algorithm, in this paper, an estimation algorithm for HMP using multi-labeling transfer learning is proposed. First, the original human motion image is labeled by using the multi-label transfer learning, the HMP features are extracted, and the original image classification is completed. Second, a regulator is constructed based on the classification results of the original image, and the regulator is used to adjust the estimation results of HMP based on a convolutional neural networks. Finally, the posture compensation function is used to compensate for the error part to realize the estimation of HMP. In the experiment, the Human3.6m data set and MPII data set were used as the basis for testing. The results show that the proposed algorithm has high correct recognition rate of HMP. The similarity between the posture estimation results, and the target image is 92%-97%. The accuracy of posture estimation is 98.1%. The proposed algorithm can be widely used in many fields, such as human-computer interaction, recognition authentication and intelligent monitoring. tasks understanding Therefore . (HMP) paper multilabeling multi labeling First multilabel label extracted completed Second networks Finally experiment Human36m Humanm Human3 6m m testing 92%97%. 9297 92% 97%. 92 97 92%-97% 981 98 1 98.1% fields humancomputer interaction monitoring (HMP 92%97% 929 97% 9 92%-97 98.1 92%97 92%-9 98. 92%9 92%-