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视觉的元构基准
近年来，变形金刚[9]在各种计算机视觉任务[10]，[11]，[12]，[13]中表现出了不前期的成功。变压器的能力长期以来一直归因于其注意力模块。因此，已经提出了许多基于注意力的令牌混合器[4]，[5]，[14]，[15]，[16]，目的是为了增强视觉传输（VIT）[11]。尽管如此，一些工作[17]，[18]，[19]，[20]，[21]发现，通过用空间MLP [17]，[22]，[23]或傅立叶变换[18]等简单操作员更换变压器中的注意模块，结果模型仍然会产生令人鼓舞的性能。沿着这条线，[24]将变压器摘要为一种称为元构造器的通用体系结构，并假设是元构造者在实现竞争性能中起着至关重要的作用。To verify this hypothesis, [24] adopts embarrassingly simple operator, pooling, to be the token mixer, and discovers that PoolFormer effectively outperforms the delicate ResNet/ViT/MLP-like baselines [1], [2], [4], [11], [17], [22], [25], [26], which con- firms the significance of MetaFormer.
国家劳资关系委员会的大纲
Since the last update to the Outline , there have been two instances where one Board issued a final rule that altered representation-case procedures, but a subsequent Board then reverted to the status quo ante : (1) the 2019 amendments to the Board's representation-case procedures were effectively rescinded in 2023, and (2) the 2020 final rule that made changes to Board law regarding Section 8(f) vs.第9（a）节的认可（第9-1000节），识别栏教义（第10-500节）和阻止费用政策（第10-800节）也被撤销，并在2024年恢复了事先实践。尽管董事会代表程序的演变和相关的规则制定活动的演变可能引起了研究人员的兴趣，但我采取了编辑政策，将大纲集中在法律的现状上；因此，尽管随后在文本中提到了敏锐的规则制定，但我尚未对被撤销的规则提供任何详细的讨论。在类似的角度，我没有在2023年联合雇主规则上包含任何材料，这些材料从未生效。我通常还将对铅案件的讨论降至最低，这些案例自上次更新以来已发行并被否决了，尽管我简短地提到了这种情况。
细菌性传播感染的直接测序技术
There is an important role for direct sequencing of patient samples to complement traditional culture-based methods for bacterial sexually transmitted infections (STIs), effectively overcoming limitations posed by fastidious or unculturable pathogens such as Neisseria gonorrhoeae , Treponema pallidum , Mycoplasma genitalium and Chlamydia trachomatis .元基因组技术有效性可以在没有培养的分离株的情况下对抗菌耐药性（AMR），应变键入和微生物组分析进行分析，从而为理解流行病学趋势和指导目标疗法提供关键信息。尽管取得了重大进展，但Chal Lenges仍然存在，例如成本，生物信息学的复杂性和道德考虑。本文讨论了当前的应用，技术创新和未来的前景，将宏基因组学整合到常规的细菌性STI监视中，强调需要确定成本和时间效益的工作流以及增强基因组数据的可访问性。通过应对这些挑战，直接测序有望填补AMR监测和病原体键入中的关键空白，从而提供了新的途径，以增强公共卫生策略，以打击全球细菌性传播疾病。
Understanding Consumer Preferences for Movie Trailers from EEG using Machine Learning
Abstract —Neuromarketing aims to understand consumer be- havior using neuroscience. Brain imaging tools such as EEG have been used to better understand consumer behavior that goes beyond self-report measures which can be a more accurate measure to understand how and why consumers prefer choosing one product over another. Previous studies have shown that consumer preferences can be effectively predicted by under- standing changes in evoked responses as captured by EEG. However, understanding ordered preference of choices was not studied earlier. In this study, we try to decipher the evoked responses using EEG while participants were presented with naturalistic stimuli i.e. movie trailers. Using Machine Learning techniques to mine the patterns in EEG signals, we predicted the movie rating with more than above-chance, 72% accuracy. Our research shows that neural correlates can be an effective predictor of consumer choices and can significantly enhance our understanding of consumer behavior. Index Terms —Neuromarketing, EEG, Machine Learning, Dis- crete Wavelet Decomposition
基于广泛的用户互动
摘要：当代社会中简短的视频应用程序的普遍存在是由于在移动设备上广泛采用Tiktok的概括而来的。该平台不断升级的用户率和参与时间持续时间表明其影响不断增长。本文研究了Tiktok算法处理广泛的数据集以策划和推荐用户偏爱的内容的能力。通过大学人群中各个年龄人口的一系列调查和分析研究进行，这项研究强调了元数据标签的关键作用和该平台的自主增强算法。By harnessing advanced machine learning and artificial intelligence technologies—such as Graph Neural Networks (GNN), Reinforcement Learning (RL), Temporal Convolutional Networks (TCN), Natural Language Processing (NLP), Generative Adversarial Networks (GANs), and Attention Mechanisms—TikTok effectively tailors its algorithmic learning to user interactions.这种战略整合允许逐步完善用户建议，促进个性化的内容交付，同时确保隐私并提高内容和用户参与度的整体质量。该研究的发现表明，这些技术整合使Tiktok能够更准确地辨别用户的偏好，从而促进提供更多引人入胜且相关的内容。最终，这些改进对平台上的用户体验的丰富具有重大影响。
免疫疗法抗性的表观遗传机制
Rachael Natrajan博士领导的功能性基因组学实验室是一个多学科动态研究小组，其使命是为抗乳腺癌的新治疗策略制定耐药性护理疗法的新治疗策略。实验室使用艺术分子分析的状态，例如在整个疾病进展的患者样本上进行单细胞测序和空间基因组分析，以了解乳腺癌的分子进化以及对靶向疗法的反应。与患者衍生，合成性和GEMM模型中的分子条形码策略一起，在体外和体内和候选生物标志物或治疗选择中评估了机理假设，以临时测试，以告知概念临床试验或药物发现计划的设计证明。We have made novel advances into the understanding of genomic alterations both at bulk and single cell level and their impact on breast cancer in different contexts and how to target these effectively (including Bland et al Nature Genetics 2023 PMID: 37524790; Peck et al Cancer Res 2021 PMID:33509944; Inayatullah et al PMID: 38480932 PMID: 24240700; Natrajan等人PLOS Medicine 2015 PMID：2688177，Maguire等人2016 PMID：27512948;
造血干细胞移植患者的全肠胃外营养总营养的临床影响
Results: Our results showed that total parenteral nutrition (TPN) effectively mitigated weight loss on days 10 and 14 and the day before discharge, while also improving albumin (33.41 ± 4.57 in the control group, 34.87 ± 4.08 in the TPN group, p < 0.05; 33.72 ± 3.52 in the control group, 35.27 ± 4.04 in the TPN group, p < 0.05; 34.09 ± 4.44 in the control group, 35.55 ± 3.87 in the TPN group, p < 0.05) and prealbumin (245.18 ± 79.94 in the control group, 274.26 ± 86.73 in the TPN group, p < 0.05; 233.27 ± 79.57 in the control group, 279.34 ± 80.20 in the TPN group, p < 0.01;对照组的247.24±83.29，在同一时期，TPN组为280.65±100.22，p <0.05）。此外，非TPN和TPN组之间的CRBSI发生率或肝功能没有显着差异。此外，TPN组的住院时间较短（对照组为48.06±13.90，TPN组的42.13±14.22*，p <0.05），意外重新携带的发生率较低，对照组为37.1％（在对照组中为37.1％，在TPN组为21.4％，TPN组，P <0.05），P <0.05）。
eris：用于安排公正分布式的在线拍卖...
摘要 - 边缘情报的出现使智能物联网服务（例如，视频/音频监视，自动驾驶和智能城市）成为现实。To ensure the quality of service, edge service providers train unbiased models of distributed machine learning jobs over the local datasets collected by edge networks, andusuallyadopttheparameterserver(PS)architecture.However, the training of unbiased distributed learning (UDL) depends on geo-distributed data and edge resources, bringing a new challenge for service providers: how to effectively schedule and price UDL jobs such that the long-term系统实用程序（即社会福利）可以最大化。在本文中，我们提出了一种基于在线拍卖的调度算法ERIS，该算法确定了每个到达UDL作业的数据工作负载，并发工人和PSS的数量和位置，并且基于当前资源消耗的基于当前资源消耗而动态价格有限。eris应用了一个原始的双重框架，该框架称为有效的双重子例程来安排UDL作业，实现了良好的竞争比率和伪多项式时间的复杂性。为了评估ERIS的有效性，我们同时实施了一个测试床和大型模拟器。结果表明，与当今云系统中的最新算法相比，ERIS优于表现和实现多达44％的社会福利。
评估护士教育者在乌干达公立护理学校的技能实验室中采用混合学习的能力
混合学习已成为护理教育不可或缺的一部分，提供了在线和面对面教学的融合，可以增强学习体验，尤其是在技能实验室内。但是，混合学习的有效性在很大程度上取决于护士教育者在使用数字工具和方法方面的能力。这项研究评估了乌干达公立护理学校的护士教育工作者在采用混合学习方面的能力。Data was collected from 40 randomly selected nursing educators in 4 public nursing schools in Uganda The findings indicate significant inadequacies: only 25% are proficient with Learning Management Systems (LMS) like Moodle, 20% can effectively use platforms like Zoom and Microsoft Teams for synchronous sessions, 30% are adept at using social media platforms such as WhatsApp and YouTube for informal learning and networking, and merely 12.5% are proficient在使用电视视频作为补充教育资源时。这些结果突出了针对性的专业发展和培训计划的关键需求，以增强护士教育者的数字能力。解决这些差距对于有效实施混合学习至关重要，最终旨在提高乌干达的护理教育质量并促进熟练的护理专业人员的发展。
免疫检查点抑制剂的基础机制...高压全稳态锂金属电池的基于聚碳酸酯的互穿网络基于聚碳酸酯的复合电解质
摘要具有良好安全性，易于加工性和高离子电导率的基于固体聚合物的复合电解质（SCPE）对于开发先进的全固态锂金属电池（ASSLMBS）具有重要意义。但是，电极和固体电解质之间的界面兼容性较差导致较大的界面阻抗削弱了电池的电化学性能。Herein, an interpenetrating network polycarbonate (INPC)-based composite electrolyte is constructed via the in- situ polymerization of butyl acrylate, Li 7 La 3 Zr 2 O 12 (LLZO), Lithium bis(trifluoromethanesulphonyl)imide, succinonitrile and 2,2-azobisisobutyronitrile on the base of a对称聚碳酸酯单体。Benefiting from the synergistic effect of each component and the unique structure features, the INPC&LLZO-SCPE can effectively integrate the merits of the polymer and inorganic electrolytes and deliver superior ionic conductivity (3.56 × 10 -4 S cm -1 at 25 °C), an impressive Li + transference number [ t ( Li+ ) = 0.52] and a high electrochemical stability window (up到5.0 v vsli + /li）。基于此，组装了LifePo 4 /Inpc＆llzo-Scpe /li和Lini 0.6 Co 0.2 Mn 0.2 o 2 /inpc＆llzo-scpe /li的电池，它们显示出156.3和158.9 mah g -1 and Efence for 86.8％和95.4％和95.4％％和95.4％％的初始能力，它们具有较大的初始能力C分别。这项工作为高压ASSLMB的新型聚碳酸酯复合电解质提供了新的途径。