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使用高级机器学习算法对金融市场趋势进行预测建模
但是，随着数字时代的出现和大数据的扩散，财务分析格局已经发生了范式的转变。许多日常财务交易超出了传统分析方法的能力。这些新兴趋势加上金融工具和市场的复杂性日益增强，因此需要对高级，复杂的方法进行金融市场分析和预测。输入机器学习和数据科学，这会改变我们对金融市场预测的方式。人工智能的一个子集是在机器学习中使用算法来从中学习并根据数据做出预测或决策。For financial markets, these systems are capable of processing and analyzing larger volumes of data than humans can by identifying patterns and trends that may be invisible to the human eye Advanced machine learning algorithms such as deep learning, reinforcement learning, and neural networks have shown incredible promise in predicting financial market dynamics Deep learning, which captures neural networks many ho excel at identifying complex, nonlinear patterns in data.强化学习的重点是软件开发人员应如何采取行动来最大程度地提高某种总奖励感，这对于制定人类脑系统的神经联系及其运营动机特别有效，已经证明了他们在预测股票价格和市场动态方面的能力
在高熵氧化物Ruddlesden – Popper Cuprate膜中寻找超导性
和SR +2以已知诱导超导性超导性的浓度，ND 2 CUO 4和LA 2 CUO 4。Electron doped (La 0.185 Pr 0.185 Nd 0.185 Sm 0.185 Eu 0.185 Ce 0.075 ) 2 CuO 4 and hole doped (La 0.18 Pr 0.18 Nd 0.18 Sm 0.18 Eu 0.18 Sr 0.1 ) 2 CuO 4 are synthesized and shown to be single crystal, epitaxially strained, and highly uniform.传输测量表明，所有生长的薄膜都在绝缘，而不是掺杂。退火研究表明，可以通过修饰氧气化计量和诱导金属性但没有超导性来调整电阻率。这些结果反过来又连接到扩展的X射线吸收良好的结构结果，表明高熵库层中缺乏超导性可能起源于Cu – O平面内的大变形（σ2>0.015Å2），这是由于A-部位阳离子阳离子尺寸变化引起的，这驱动了载货者本地化的本地化。These findings describe new opportunities for controlling charge- and orbital-mediated functional responses in Ruddlesden – Popper crystal structures, driven by balancing of cation size and charge variances that may be exploited for functionally important behaviors such as superconductivity, antiferromagnetism, and metal-insulator transitions while opening less understood phase spaces hosting doped Mott insulators, strange metals, quantum临界，伪胶囊和有序的电荷密度波。
Orbit-Surgical：...
图1：o rbit -Surgical Simulation基准测试任务。(1) Reach : dVRK Patient Side Manipulator (PSM) to reach a desired position (red sphere), (2) Reach with Obstacles : reach to a desired position (red sphere) with randomly placed obstacle in the scene (blue sphere object; object shape and size are customizable), (3) Suture Needle Lift : lift a suture needle to a desired position, (4) Peg Block Lift : lift a peg block to a desired position, (5) Pick and Place : pick and place a ring on a peg tower, (6) Dual-arm Reach : dual-arm reach to specific desired positions shown with red sphere, (7) Dual-arm Reach with Obstacles : dual-arm reach to specific desired positions (red sphere) with randomly placed obstacles in the scene, (8) Pick and Transfer : pick and transfer a peg block, (9) Needle Handover : handover and regrasp a suture needle, (10) Threaded Needle Pass Ring : handover a threaded suture needle through a ring pole, (11) Gauze Cloth Pick : retrieve gauze and lift it to a desired location, (12) Shunt Insertion : insert a shunt (yellow tube) into larger blood vessel phantom (clear tube), (13) Multi-arm dVRK : needle handover task with camera input from the dVRK Endoscopic Camera Manipulator （ECM），（14）星际范围：星臂达到所需位置。最佳观看的颜色。请参阅orbit-surgical.github.io
用于成像poly（ADP-ribose）的PET radiotracer ...
et成像具有几种不同的特性，使其成为精密医学时代的强大工具（1-3）。这种无创成像技术可以为整个身体提供有关疾病负担的信息。ad的成像可以为靶向和健康组织中的药物摄取结果提供结果，并可以尽早评估治疗的风险和利益（4）。例如，成像剂与传统的药物或放射疗法（即，疗法对）的组合使医生可以根据个人的反应来量身定制治疗（5-7）。此外，通过使用发射正电子放射性核素标记的药物或类似物的靶向癌症药物的完整药代动力学和药物的完整药代动力学和药物差，可以提供机会。In the past decade, PET radiotracers have shown promise in preclinical models of cancer, including prostate, breast, and many other types, and some have crossed the threshold to clinical translation to obtain regulatory approval from the Food and Drug Admin- istration (FDA), such as the recent examples of fluo- rine 18 ( 18 F) fluoroestradiol (Cerianna) for breast can- cer and 18 F fluciclovine （斧头）前列腺癌。但是，识别新的放射性示意剂所需的步骤是转化宠物成像螺柱的ies，这是一个昂贵且耗时的过程（8）。Hung（9）和Harapanhalli（10）发表了有关PET放射性培养的当前状态和监管考虑的评论。对于通常被认为是安全有效的PET radiotracers，
car damage detection using machine learning
Siruganur ,Trichy Abstract – Modern car insurance industries waste a lot of resources due to claim leakages, which determines the amount they pay. Currently,visual Inspections and Validations are done manually,which can delay the claim processes.Previous study have shown that classifying images is possible with a small data set,by transferring and re purposing knowledge from models trained for a different task. Our goal is to build a Car Damage classifier using a deep learning model that is able to detect the different damage types and give an accurate depiction given a car image. However, due to the limiting set of data, it can be result in being a determining factor.Training a Convolutional Network from scratch (with random initialization) is difficult because it is relatively rare to have a large enough dataset.In this project we explore the problem of classifying images containing damaged cars to try and assess the monetary value of the damage. Because of the nature of this problem,classifying this data may prove to be a difficult task since no standardized dataset exists and some of the clases utilized might not be discriminative enough. Utilizing a pretrained YOLOv8 model,we trained a classifier in order to categorize the dataset,testing 3 different cases: damaged or not (damage vs whole),damage location (front vs rear vs side),damage level (minor vs moderate vs severe). Index Terms - YOLO model,CNN
胆道癌的免疫检查点抑制剂治疗（...
5.0 months and mOS 8.1 months in gemcitabine alone arm) (9). There is no established second line treatment for advanced BTC, but a recent randomized phase III trial (ABC-06) showed a mOS for 5-fluorouracil and oxaliplatin (FOLFOX) of 6.2 months in patients with disease progression after gemcitabine plus cisplatin (10). These outcomes will form the basis of comparison to the trials described in this review. With limited treatment options and dismal overall prognosis, new therapies and approaches are an urgent unmet need in BTC (11). Clinical trials using targeted agents have historically shown only modest responses in BTC patients, though there has been recent success in treating cholangiocarcinomas with isocitrate dehydrogenase-1 (IDH1) and FGFR genetic alterations with novel targeted agents (12-15). Even in these settings, responses have variable durability and more effective, durable therapies are needed. Immunotherapy has had tremendous success in treating patients with cancers such as melanoma and non-small cell lung cancer, dramatically altering the natural history of these diseases. In BTC, immunotherapy strategies have included autologous cell transfer, vaccinations and immunomodulatory approaches with immune checkpoint inhibitors (ICIs), the latter of which is the largest area of ongoing research. In this review, we describe the rationale for ICI therapy by summarizing the clinically relevant tumor immunology in BTC including the innate and adaptive immune response and immune checkpoint molecule expression in BTC. Subsequently we discuss completed and ongoing clinical trials involving ICI in BTC.
Global 45 Dividend Strategy Portfolio 2025-1
† The historical 12 month distributions per unit and each historical 12 month distribution rate of the securities included in the trust are for illustrative purposes only and are not indicative of the trust's actual distributions or distribution rate. The historical 12 month distributions per unit amount is based upon the weighted average of the actual distributions paid by the securities included in the trust over the 12 months preceding the trust's deposit date, and is reduced to account for the effects of fees and expenses which will be incurred when investing in a trust. Each historical 12 month distribution rate is calculated by dividing the historical 12 month distributions amount by the trust's initial $10 public offering price per unit. There is no guarantee the issuers of the securities included in the trust will declare dividends or distributions in the future. The distributions paid by the trust, as well as the corresponding rates, may be higher or lower than the figures shown due to certain factors that may include, but are not limited to, a change in the dividends or distributions paid by issuers, actual expenses incurred, currency fluctuations, the sale of trust securities to pay any deferred sales charges, trust fees and expenses, variations in the trust's per unit price, or with the call, maturity or the sale of securities in the trust. Distributions made by certain securities in the trust may include non-ordinary income. ** An enhanced sector (or “index”) strategy refers to a unit investment trust strategy, sponsored by Invesco Capital Markets, Inc., that seeks to outperform an index by investing in an objectively selected subset of stocks from the same index.
平衡药物清单 - 更新1/1/25
•首选的仿制药以“ p”标记，并以较低的粗体类型显示•非脱颖而出的仿制药标有“ NP”标记，并以较低案例的粗体类型显示•首选品牌均标有“ P”标记，并显示了所有大写字母，并在所有大写字母中显示•非偏爱的品牌均以“ NP”标记为“ np”，并显示出Asped and Pertect and a Ass P and p Pers＆pers p'As p'''As p''下案例大胆类型或所有大写字母。这些药物在特殊要求列中也标记为“ SP”。•非偏爱的特种药物都标有“ NP”，并在所有大写字母中显示。这些药物在特殊要求列中也标记为“ SP”。•也标有“+”的药物表示特定的覆盖范围。请参阅您的福利计划材料以获取覆盖范围详细信息，或在会员身份证的背面拨打电话。
2025 年平衡药品清单
• 首选仿制药标有“p”并以小写粗体显示 • 非首选仿制药标有“np”并以小写粗体显示 • 首选品牌标有“P”并以全部大写字母显示 • 非首选品牌标有“NP”并以全部大写字母显示 • 首选特种药品标有“p、np 或 P”并以小写粗体或全部大写字母显示。这些药品在特殊要求栏中也标记为“SP”。 • 非首选特种药品标有“NP”并以全部大写字母显示。这些药品在特殊要求栏中也标记为“SP”。 • 同样标有“+”的药品表示特定群体承保。请参阅您的福利计划材料以了解承保详情，或拨打会员 ID 卡背面的电话号码。
平衡药品清单 – 更新于 2025 年 1 月 1 日
• 首选仿制药标有“p”并以小写粗体显示 • 非首选仿制药标有“np”并以小写粗体显示 • 首选品牌标有“P”并以全部大写字母显示 • 非首选品牌标有“NP”并以全部大写字母显示 • 首选特种药品标有“p、np 或 P”并以小写粗体或全部大写字母显示。这些药品在特殊要求栏中也标记为“SP”。 • 非首选特种药品标有“NP”并以全部大写字母显示。这些药品在特殊要求栏中也标记为“SP”。 • 同样标有“+”的药品表示特定群体承保。请参阅您的福利计划材料以了解承保详情，或拨打会员 ID 卡背面的电话号码。