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社论：2022年乳腺癌的诊断和治疗
We are experiencing an amazing era of advances in the diagnosis and treatment of breast cancer, with the discovery of novel actionable biomarkers (e.g., programmed death- ligand 1 (PD-L1), phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha ( PIK3CA ), mismatch repair) and the re-discovery of traditional and established ones, particularly for HER2 （低表达/突变）（Tarantino等，2020; Fusco等，2021a; Sajjadi等，2021; Criscitiello等，2022）。这些生物标志物在肿瘤学中强烈影响病理学和治疗决策，并引入了超个性化的治疗选择（Punturi等，2021; Venetis et al。，2022a; Henry等人，2022年； 2022年； Tarantino等，2022年）。在这种不断发展的情况下，预测分子病理被称为面临乳腺癌的新挑战（Fusco等，2021b； Dileep和Gianchandani Gyani，2022年）。我们改进的诊断分辨率，以及临床病理数据以及大量分子和数字数据的组合，允许靶向疗法变得越来越选择性（Pisapia等人，2022年）。这种方法的多维度需要非常精确的测试方法和准则。，我们编辑了分子生物科学领域的本研究主题，该研究主题是关于乳腺癌中新型分子生物标志物（2022 Edition）的兴起的研究主题，以提供乳腺癌生物标志物不断发展的新型进步的快照。我们选择了两份原始研究文章和两项综合评论，涵盖了乳腺癌中生物标志物的不同方面。在其中，Elham Sajjadi和合作者的一篇原始研究文章提供了以前无法获得的证据，这些证据与破骨细胞状的基质巨型细胞（OSGC）（Sajjadi等，
Plants-12-01223.pdf
摘要：镰刀菌疫病（FHB）和镰刀冠腐烂（FCR）由咪唑杀真菌剂的应用管理，如欧洲绿色交易所述，这些杀菌剂将在2030年受到严格限制。在这里，通过遵循循环经济的原理，提出了一种新颖和生态可持续的纳米结构颗粒制剂（NPF）。纤维素纳米晶体（CNC）和抗性淀粉是从高淀粉（HA）面包小麦的麸皮中获得的，并用作载体和赋形剂，而壳聚糖和长石酸则作为抗真菌和抗真菌和INICITOTITRITITITOR主动原理功能化。NPF抑制了分生孢子发芽和菌丝体的生长，并与分生孢子机械相互作用。NPF在易感面包小麦基因型中最佳降低了FHB和FCR症状，同时在植物上具有生物相容性。The expression level of 21 genes involved in the induction of innate immunity was investigated in Sumai3 (FHB resistant) Cadenza (susceptible) and Cadenza SBEIIa (a mutant characterized by high-amylose starch content) and most of them were up-regulated in Cadenza SBEIIa spikes treated with the NPF, indicating that this genotype may possess an interesting genomic background particularly对诱导剂样分子的反应。量化表明NPF控制的FHB扩散，而Cadenza Sbeiia对FCR真菌扩散具有抗性。目前的研究工作强调，NPF是FHB可持续管理的强大武器，而Cadenza Sbeiia的基因组应深入研究，因为对类似Esicor的分子和对FCR真菌差的耐药性特别敏感。
Nilay Mitash博士
1。PubMed：https：//www.ncbi.nlm.nih.gov/myncbi/1pkxt6fmcbsaq/bibliography/public/ 2。Google Scholar：https：//scholar.google.com/citations?user = vcdrvu4aaaaaj&hl = en 3。研究门：https：//www.researchgate.net/profile/nilay_mitash2 4。LinkdIn: https://www.linkedin.com/in/nilay-mitash-phd-1a24a54a/ Area of Specialization : Cancer Biology, microRNA mediated gene regulation, Pulmonary Fibrosis, Precision cut lung slices tissue model Research Interest : My core competencies lie in utilizing tissue model systems, particularly tissue- based precision-cut lung slices, which closely mimic慢性疾病等肺纤维化的复杂性。这些模型使我们能够评估候选药物和生物标志物对慢性疾病的功效和安全性。我的任务是为生物医学研究的发展做出贡献，并最终改善人类健康。我也对教学和指导初级研究人员和研究生充满热情。我最强的技术技能包括荧光显微镜，蛋白质印迹，流式细胞仪，RNA测序分析，途径分析，QPCR，QPCR，支气管上皮细胞中离子通道的电生理学，统计分析和数据可视化。以前，我曾在匹兹堡大学医学院担任研究教练，直到2024年5月，我是一个财团和创新生态系统的一部分，旨在加速肺纤维化的有效疗法（PF），这是一种慢性，进步的肺部疾病，没有当前的治疗。医学生物技术学生。我带来了七年的博士后研究经验，并拥有博士学位。来自印度勒克瑙的S.G.P.G.I.M.S.的MicroRNA膀胱癌。在我目前在印度浦那塔特瓦德（Tathwade）的D. Y. Patil生物技术学院和生物信息学研究所担任助理教授的角色，我向B.Tech教书。
出生缺陷监视
for their technical input in the preparation of this quick referencebook, we woulLd like to acknowledge the staff of the NCBDDD, ICBDSR and who, particularly the following individuals (in alphabethical order): Mrs f arena, d f arejanjan, d f arejan, d f arejan, Azofeifa, Dr Robert J Berry, Dr Jan Ties Boerma, Dr Lorenzo Botto, Dr Marie Noel Brune Drisse, MS Grace Davis, Dr Margaret Davis, Dr Luz Maria De-Reg, Dr Pablo Duran, Ms Alissa Eckert, Dr Jaimthkamp, Dr Alina Flores, Dr Alina Flor Filimina Gomes, Dr Boris Groisman, Mr Dan J Higgins, Dr Margaret Honein, Ms Jennifer Hulsey, Dr Vijaya Kancherla, Ms Christina Kilgo，Eve Lakritz博士，Ornella Lincetto博士，Cara Mai博士，Elizabeth Mary Mason博士，Pierpaolo Mastroiacovo博士，Mario Merialiacovo博士，Mario Merialiadi博士，Cynthia Moore博士，Allisyn Moran博士，Allisyn Moran博士，Josen Morinare博士，Joseph Mulinare博士，Joseph Murguia Murguia de sierra，Dr Richare，Dr pate patel，Dr pate pate Nelangi Pinto，Vladimir博士B Poznyak，Drsrid Rabes，Drozaghi，Drozaghi。 Nathalie Roos，Jorge Rosenthal博士，Csaba Siffel博士，Haley Smith-Sheed博士，Joseph Snieze博士，Metchen Stevens博士，Melaneen Temmerman博士，Diana Valencia女士，Claudia Vallozzi博士，Claudia Vallozzi博士，Severin Von Xylander博士，Severin Von Xylander和Severin Von Xylander，
Diverse viral cas genes antagonize CRISPR immunity
Prokaryotic CRISPR–Cas immunity is subverted by anti-CRISPRs (Acrs), which inhibit Cas protein activities when expressed during the phage lytic cycle or from resident prophages or plasmids 1 . Acrs often bind to specific cognate Cas proteins, and hence inhibition is typically limited to a single CRISPR–Cas subtype 2 . Furthermore, although acr genes are frequently organized together in phage- associated gene clusters 3 , how such inhibitors initially evolve has remained unclear. Here we investigated the Acr content and inhibition specificity of diverse Listeria isolates, which naturally harbour four CRISPR–Cas systems (types I-B, II-A, II-C and VI-A). We observed widespread antagonism of CRISPR, which we traced to 11 previously unknown and 4 known acr gene families encoded by endogenous mobile elements. Among these were two Acrs that possess sequence homology to type I-B Cas proteins, one of which assembles into a defective interference complex. Surprisingly, an additional type I-B Cas homologue did not affect type I immunity, but instead inhibited the RNA-targeting type VI CRISPR system by means of CRISPR RNA (crRNA) degradation. By probing viral sequence databases, we detected abundant orphan cas genes located within putative anti-defence gene clusters. Among them, we verified the activity of a particularly broad-spectrum cas3 homologue that inhibits type I-B, II-A and VI-A CRISPR immunity. Our observations provide direct evidence of Acr evolution by cas gene co-option, and new genes with potential for broad-spectrum control of genome editing technologies.
Thai Economic Performance in Q2 of 2024 and the Outlook for 2024
Private consumption expenditures increased by 4.0 percent, decelerating from a 6.9- percent expansion in the previous quarter. The expenditure on services increased by 6.0 percent, slowing down from a 13.7 percent in the previous quarter due to the deceleration of spending on hotels and restaurants, financial and healthcare services, education and arts, entertainment and recreation. The expenditure on non-durable goods grew by 3.6 percent, decelerating from 4.7 percent in the previous quarter in line with the slowdown of spending on food and non-alcoholic beverages and alcoholic beverages. The expenditure on durable goods decreased by 6.5 percent, continuing from a 6.7-percent contraction in the previous quarter, mainly due to a decrease in vehicles purchase, which aligns with the wait-and-see perspective of consumers on the policies regarding electrical vehicles amid the market price adjustment. The expenditure on semi-durable goods grew by 4.3 percent, following the expansions in the spending on furnishings and households' equipment and clothing and footwear. The consumer confidence index towards the economic situation was at 54.3 in this quarter, dropping from 57.2 in the previous quarter. Government consumption expenditure increased by 0.3 percent, improving from a 2.1-percent contraction in the previous quarter. Particularly, social transfers in kind for goods and services increased by 6.9 percent, compared with a 10.7-percent contraction in the previous quarter, while compensation of employees (wage and salary) grew by 0.8 percent. Nevertheless, expenditure on goods and services decreased by 3.8 percent. The disbursement rate of the current budget stood at 27.7 percent of total budget, (higher than 19.2 percent in the previous quarter and 24.3 percent in the same quarter of last year). In the first half of 2024, private consumption expenditures expanded by 5.4 percent while government consumption expenditure decreased by 0.9 percent.
模糊遗传粒子群优化卷积神经...
dharanir.pec@gmail.com, ramesh.revathy@gmail.com, danesh.kn1@gmail.com Received : 31 July 2023, Revised: 14 October 2023, Accepted : 21 October 2023 * Corresponding Author ABSTRACT Oral cancer presents a pressing global health concern, ranking as the eighth most prevalent cancer worldwide and leading to a significant number of deaths, particularly evident in India with an annual toll of大约有130,000人死于口腔癌。早期检测的紧迫性是显而易见的，因为由于临床检查和活检而导致的疾病识别延迟可以阻碍有效的治疗和改善患者的结果。这项研究通过开发能够识别受疾病影响的口腔区域并准确分类各种口腔癌疾病的系统来解决这一关键需求。该研究利用深度学习算法来检测和精确定位口服图像中的受影响区域，并结合了高级特征提取技术，尤其是基于模式的特征。使用创新的蜜蜂脉冲夫妇神经网络（BEEPCNN）算法用于对受影响区域的有效分割。为了进一步提高检测效率，引入了一种新型模糊遗传粒子群卷积神经网络（FGPSOCNN），从而降低了计算复杂性，同时保持了高精度水平。拟议的系统使用从Arthi Scan医院收集的实时MRI图像进行了严格的评估。实验结果令人信服地证明了与现有的口腔癌检测方法相比，FGPSOCNN模型的优越性。1。简介这项综合研究不仅满足了早期口腔癌检测的关键需求，而且还引入了一种创新的方法，可以显着提高效率而不会损害准确性。这项研究对口腔癌诊断的潜在影响是很大的，为全球关键的全球健康挑战提供了有希望的解决方案。关键字：口腔癌，深度学习，蜂鸣声，模糊，粒子群优化，fgpsocnn。
地区改进计划2023-2024
全面需求评估6需求评估概述6人口统计学7学生学习11区流程和计划13感知17优先问题陈述22全面需求评估数据文档23目标25目标1：所有想法学生均涉及大学25目标2：IDEA ATION A A级成绩达到28个目标28目标35：增加学生持久性35策略4：提高学生的策略4：增加学生41个工作人员41级别45：增加45：增加45名工作人员45：增加45：增加45：增加学生45：提高学生的时间45：增加。 Improvement Plan 49 Title I 50 1.1: Comprehensive Needs Assessment 50 2.1: Campus Improvement Plan developed with appropriate stakeholders 50 2.2: Regular monitoring and revision 50 2.3: Available to parents and community in an understandable format and language 50 2.4: Opportunities for all children to meet State standards 50 2.5: Increased learning time and well-rounded education 50 2.6: Address needs of all students, particularly at-risk 51 3.1: Annually evaluate the schoolwide plan 51 4.1: Develop and distribute Parent and Family Engagement Policy 51 4.2: Offer flexible number of parent involvement meetings 52 5.1: Determine which students will be served by following local policy 52 Title I Personnel 53 Plan Notes 54 2023-2024 Student Learning 55 100% College Matriculation 56 Campus Attendance Committee 57 Campus Student Persistence Committee 58 Staff Quality & Retention Commitee 59 District Funding Summary 60
Dysregulation of BCL-2 family proteins in blood neoplasm
During cellular stress, the master regulators of intrinsic self-death (apoptosis) are BCL-2 family proteins. The BCL-2 family proteins play a key role in apoptosis and are tightly regulated via other BCL-2 family proteins, non-BCL-2 protein suppressors, and epigenetic modifications. As the name implies, these proteins possess one or two of the four BCL-2 homology domains (BH1–BH4). According to their roles, they are classified as pro-apoptotic or pro-survival proteins. BH-3-only proteins possess a single BH3 domain and are specific/key effector proteins for intracellular death commitment, particularly in the context of cell survival and programmed cell death. This delicate interplay among the BCL-2 family members is essential for maintaining the primary hemostasis, or balance, of cell fate. The anti-apoptotic proteins, such as BCL-2 and BCL-XL, promote cell survival by inhibiting apoptosis. On the other hand, the pro-apoptotic proteins, such as BAX and BAK, drive apoptosis. It ensures that cells are able to respond appropriately to various internal and external signals, ultimately determining whether a cell survives or undergoes programmed cell death. Understanding and targeting this delicate balance is a promising avenue for developing therapeutic strategies to modulate cell fate and treat various diseases. The molecular pathogenesis of BCL-2 family proteins in blood disorders involves differential expression of these components resulting in the dysregulation of the pathway contributing to cell survival and resistance to apoptosis as observed in follicular lymphoma, diffuse large B-cell lymphoma, acute lymphoblastic leukemia, and acute myeloid leukemia. Such dysregulation is a major impediment to standard therapies and aids in chemo resistance. Studies show some promising clinical outcomes with antineoplastic agent venetoclax either as a monotherapy or in combination with other agents. This review discusses recent studies on the regulation of BCL-2 family proteins which might provide a molecular landscape for their clinical implications in blood disorders.
使用可解释的深度学习模型预测有害的藻华：
1 IIHR—Hydroscience and Engineering, University of Iowa, Iowa City, Iowa, USA 2 Civil and Environmental Engineering, University of Iowa, Iowa City, Iowa, USA 3 Electrical and Computer Engineering, University of Iowa, Iowa City, Iowa, USA * Corresponding Author: bekirzahit-demiray@uiowa.edu Abstract Harmful algal blooms (HABs) have由于人类活动和气候变化的综合作用，影响了水生生态系统，饮用水供应系统和人类健康，因此成为了重大的环境挑战。This study investigates the performance of deep learning models, particularly the Transformer model, as there are limited studies exploring its effectiveness in HAB prediction, considering multiple influencing parameters including physical, chemical, and biological water quality monitoring data from multiple stations located west of Lake Erie, and uses Shapley Additive Explanations (SHAP) values as an explainable artificial intelligence (AI) tool to identify key input features affecting HABs.我们的发现突出了深度学习模型，尤其是变压器的优越性，捕获了水质参数的复杂动态，并为生态管理提供了可行的见解。SHAP分析将颗粒有机碳，颗粒有机氮和总磷视为影响HAB预测的关键因素。这项研究有助于开发HAB的先进预测模型，这有助于早期检测和主动管理策略。关键字：有害藻华（HAB），预测，深度学习，变压器，叶绿素-a，水质，可解释的AI，形状值。此手稿是一个地球预印本，已在同行评审期刊中提交了可能的出版物。请注意，此前尚未进行同行评审，目前正在首次接受同行评审。此手稿的后续版本可能具有略有不同的内容。