Updates to Gross CONE .............................................................................................................. 53 Updates to the Net EAS Revenue Offset ................................................................................... 56 Updates to Seasonal Capacity Availability Ratios ..................................................................... 58 Updates to Relative Seasonal Reliability Risks ..................................................................................................................................... 58
从变形金刚导入automodelforcausallm,autotokenizer allam_model = automodelforcausallm.from_pretrataining(“ allam-1-13b-instruct”)#用模型文件夹路径替换'Allam-1-13B-Instruct')tokenizer = autotokenizer.from_pretrataining(“ allam-1-13b-instruct”)#用模型文件夹路径替换'Allam-1-13b-Instruct'。messages = [{“角色”:“用户”,“ content”:“ toputs = tokenizer.apply_chat_template(消息,tokenize = false)inputs = tokenizer = tokenizer(inputs,return_tensors,return_tensors,return_tensors ='pt'pt'pt',rether_token_tef feldresssssss = kentossss = kento) )对于k,v in Inputs.items()} allam_model = allam_model.to('cuda')响应= allam_model.generate(** inputs,max_new_tokens = 4096,do_sample = true,true,true,true,true,top_k = 50,top_p = 50,top_p = 0.95,top_p = 0.95,温度=。 skip_special_tokens = true)[0])
中脑腹侧被盖区 (VTA) 的多巴胺能 (DAergic) 神经元受奖励刺激的刺激,并编码奖励预测误差以更新目标导向学习。然而,最近的数据表明,VTA DAergic 神经元在功能上是异质性的,在厌恶信号、显着性和新颖性方面发挥着新的作用,部分基于解剖位置和投射,突出了在动机行为中对 VTA DAergic 传出神经元库进行功能表征的必要性。先前的研究确定了一个由 VTA DAergic 神经元组成的中脑脚间回路,该回路投射到脚间核 (IPN),一个与厌恶、焦虑样行为和熟悉感有关的中脑区域,但最近受到了质疑。为了验证该回路的存在,我们在多巴胺转运体-Cre 小鼠系中结合了突触前靶向和逆行病毒示踪。与以前的报告一致,突触示踪显示来自 VTA 的轴突终末支配尾部 IPN;而逆行示踪显示 DAergic VTA 神经元(主要位于旁黑质区域)投射到伏隔核壳以及 IPN。为了测试 IPN 中是否存在功能性 DAergic 神经传递,我们在 C57BL/6J 小鼠的 IPN 中表达了遗传编码的 DA 传感器 dLight 1.2,并使用光纤光度法在社交和焦虑样行为期间体内测量了 IPN DA 信号。我们观察到在对新但不熟悉的同类进行社交调查期间以及在探索高架十字迷宫的焦虑开放臂期间 IPN DA 信号增加。总之,这些数据证实了 VTA DAergic 神经元向 IPN 的投射,并暗示该回路参与了动机探索的编码。
Model inputs Baseline Model inputs Baseline Model cohort Quality of life (utility) Age (years) 53.4 Early stage (stage I,II) Body weight (kg) 60.7 No recurrence 0.936 Height (cm) 157.0 Recurrence 0.756 Distribution of stage Advanced stage (stage III,IV) Stage I 19.7% Primary cytoreductive surgery 0.670 Stage II 14.5% Intermediate环形手术0.740阶段III 52.6%维持治疗0.680阶段IV 13.2%的成本治疗效率手术早期阶段(I,ii,ii)全面分期¥17,657局部复发的年度风险0.055循环手术的年度复发率为每年较早的阶段48,436年较早的阶段。化学疗法为69.5%的复发成本
TABLE 1: OVERVIEW OF PROGRAMME YEAR 1 ................................................... 11 TABLE 2: OVERVIEW OF PROGRAMME YEAR 2 ................................................... 13 TABLE 3: PROGRAMME INPUTS ............................................................................. 19 TABLE 4: PROGRAMME OUTCOMES ...................................................................... 21 TABLE 5: PROGRAMME MECHANISMS ........................................................................................................................ 22表6:可用于支持质量保证的资源和
Item Description Item Description Item Description 1 Motor cable clamp 10 Ethernet (PORT2) RJ45 connector 19 DC bus (DC) connector 2 Ground terminal 11 Zero-stack mounting tab/cutout 20 24V control input power (CP) connector 3 Motor feedback (MF) connector - A 12 Module status indicator 21 Motor brake (BC) connector - A 4 Motor feedback (MF) connector - B 13 Network status indicator 22 Motor power (MP) connector - A 5 Universal feedback (UFB) connector - A 14 LCD display 23 Motor power (MP) connector - B 6 Universal feedback (UFB) connector - B 15 Navigation pushbuttons 24 Motor brake (BC) connector - B 7 Digital inputs (IOD) connector - A 16 Link speed status indicators 25 Cooling fan 8 Digital inputs (IOD) connector - B 17 Link/Activity status indicators 9 Ethernet (port1)RJ45连接器18安全扭矩OFF(STO)连接器
Abstract —We consider the problem of simulating a two- sender multiple access channel (MAC) for fixed product inputs, where each sender transmits a message to the decoder over a rate-limited noiseless link based on its input and unlimited randomness shared with the decoder. As our main contribution, we characterize the one-shot communication cost region via almost-matching inner and outer bounds phrased in terms of the smooth max-information of the channel. The achievability relies on a rejection-sampling algorithm to simulate a quantization channel between each sender and decoder, and producing the final output based on the output of these intermediate channels. The converse follows via information-spectrum based arguments relating operational quantities to information measures. Our one-shot results recover the single-letter asymptotic rate region for MAC simulation with fixed, independent and identically distributed product inputs, that was obtained in [Kurri et al. , IEEE Transactions on Information Theory 68, 7575 (2022)]. We extend our result to quantum-to-classical channels with a separable decomposition [Atif et al. , IEEE Transactions on Information Theory 68, 1085 (2022)], for which we obtain a similar characterization.
● Increase production – EO improve the accuracy and relevance of decision support tools and ○ Increases access credit and other financial products ○ Food Balance Sheets ● Improve supply chain efficiency ○ Reduce losses, supply chain optimisation, traceability and market performance ● Environmental resources management ○ Farm practices, optimize inputs while reducing negative impacts, ● Resilience to climate change ○ Early warning systems, inform mitigation and adaptation
segment through our biannual offsite monitoring submissions and meetings with the leadership teams. These regular touchpoints with AEs serve as a platform for ACRA to share insights on the Audit Quality Indicators (AQIs) in the listed companies' segment, as well as for AEs to update on the latest developments, covering emerging risk areas, key priorities, and any updates affecting audit quality. The submissions on audit quality related information also form part of our ongoing offsite monitoring activities and provide inputs to ACRA's risk profiling mechanism to support our QC inspections.
该报告是由Alison Berthet和Jiajia Chen在Claudio Formisano和Tech Anter Franking(Tat)的Claudio Formisano和Lale Tekisalp以及BSR的Anna Quinn的支持下编写的。The authors wish to particularly thank the following individuals for their inputs and insights over the course of this research: Carlos Busquets and Sarah Binion from Amazon, Darren Edge from Microsoft, Phil Bennett, Parul Mehra and Sarah McGregor from the International Organization for Migration (IOM), Ryan Winch and Devmi Dampella from the Regional Support Office of the Bali Process, as well as the International Labour Organization (ilo)。