Run Through the Rain

在一个倾盆大雨的日子,一位母亲和她六岁的女儿在沃尔玛超市避雨。女儿提议冒雨奔跑回家,并引用母亲早晨关于信仰与挑战的话语。这段经历不仅为旁观者带来了欢笑,也成为了关于勇气与信任的美好回忆。

Run Through theRain

Anonymous

She had beenshopping with her Mom in Wal-Mart. She must have been 6 years old, thisbeautiful brown haired, freckle-faced image of innocence. It was pouringoutside. The kind of rain that gushes over the top of rain gutters, so much ina hurry to hit the Earth it has no time to flow down the spout.

    We all stood there under the awning and justinside the door of the Wal-Mart. We waited, some patiently, others irritatedbecause nature messed up their hurried day. I am always mesmerized by rainfall.I get lost in the sound and sight of the heavens washing away the dirt and dustof the world. Memories of running, splashing so carefree as a child comepouring in as a welcome reprieve from the worries of my day.

    Her voice was so sweet as it broke thehypnotic trance we were all caught in, “Mom, let’s run through the rain,” shesaid.

    “What?” Mom asked.

    “Let’s run through the rain!” She repeated.

    “No, honey, we’ll wait until it slows down abit,” Mom replied.

    This young child waited about another minuteand repeated, “Mom, let’s run through the rain.”

    “We’ll get soaked if we do,” Mom said.

    “No, we won’t, Mom. That’s not what you saidthis morning,” the young girl said as she tugged at her Mom’s arm.

    “This morning? When did I say we could runthrough the rain and not get wet?”

    “Don’t you remember? When you were talkingto Daddy about his cancer, you said, ‘if God can get us through this, he canget us through anything!’”

    The entire crowd stopped dead silent. I swearyou couldn’t hear anything but the rain. We all stood silently. No one came orleft in the next few minutes. Mom paused and thought for a moment about whatshe would say.

    Now some would laugh it off and scold herfor being silly. Some might even ignore what was said. But this was a moment ofaffirmation in a young child’s life. Time when innocent trust can be nurtured so that it will bloom into faith. “Honey,you are absolutely right. Let’s run through the rain. If we get wet, well maybewe just needed washing,” Mom said. Then off they ran.

    We all stood watching, smiling and laughingas they darted past the cars and. They held their shopping bags over theirheads just in case. They got soaked. But they were followed by a few whoscreamed and laughed like children all the way to their cars. And yes, I did. Iran. I got wet. I needed washing. Circumstances or people can take away yourmaterial possessions, they can take away your money, and they can take awayyour health. But no one can ever take your precious memories. So, don’t forgetto make time and take the opportunities to make memories every day!

    To everything there is a season and a timeto every purpose under heaven. I hope you still take the time to run throughthe rain.

    暴雨中的自己,享受雨水拍打在身上的感觉,享受雨中自己的狼狈模样,当然还有更多的感觉只有雨中的每个人自己能够体会。我曾错过了一场看山花的大雨,如果我能够更任性一点,如果我能够更果断一点,如果我能够更随心一点,那么我就不会像现在一样无数次追悔。一场大雨似乎没有什么治愈功效,我却喜欢淋雨,或许真的有净化心灵的功效,很安静,听到雨声,呼吸声,心跳声。总要相信点什么,生活才会给予你希望,人敬畏生命,生活便会敬畏你。

** Description UCLALES-SALSA (University of California Los Angeles Large Eddy Simulation model–Sectional Aerosol module for Large Scale Applications) is a large-eddy model that employs a sectional representation of aerosol and hydrometeor microphysics to simulate the size-resolved condensation/deposition of water as well as hydrometeor aggregation rates between different aerosol and hydrometeor types. Aerosol size-composition effects are accounted for using a microphysical scheme based on aerosol dry particle size and mixing state. Wet sizes are used to evaluate transitions from aerosol particles to cloud droplets, or from cloud droplets to rain droplets in the collision between droplets as described in Tonttila et al. (2017) and Tonttila et al. (2021). Ice particles are represented as a single ice "free" category with time-evolving mass and particle projected area laws based on the concept of filling in with rime used in the predicted particle properties (P3) scheme of Morrison and Milbrandt (2015). Primary ice production pathway includes homogeneous ice nucleation, and heterogeneous ice nucleation through the immersion, deposition, and contact freezing mechanisms described in Tonttila et al. (2022). Secondary ice production pathways include the mechanisms of rime splintering, droplet shattering and ice-ice collisional breakup described in Calderón et al. (2025). The UCLALES core is based on the modelling framework of Stevens et al. (2005) available from its repository (https://github.com/uclales/uclales/tree/master) All modifications and components related to the coupled UCLALES-SALSA have been designed and developed by the Finnish Meteorological Institute. The master branch of UCLALES-SALSA now contains all the updates included in the UCLALES-SALSA DEV v2.0.2 plus an improved forc.f90 function to account for wetted aerosol seeding during the simulation. The cloud scheme in UCLALES-SALSA is shown in https://github.com/UCLALES-SALSA/UCLALES-SALSA/releases/tag/v2.1 ** Installation: To install this model, simply type git clone https://github.com/UCLALES-SALSA/UCLALES-SALSA.git and run make seq or make mpi depending if you want a sequential build for single-processor runs or an MPI build for parallel multiprocessor runs. Note that you probably have to adjust the paths to MPI and NetCDF libraries in the makefile found in the model root folder. Makefile_ubuntu and Makefile_CRAY provide examples for a simple ubuntu workstation and a Cray supercomputing cluster. The code compiles correctly at least with GCC. Intel compilers should work, too. After compiling the model, the executable is found in the bin-folder together with the runscript "runles". This should be used for both parallel and sequential runs. You probably need to adjust the generation of the file job.sh at the end of the script according to the specifics of your local batch system. The bin folder contains all the necessary files to perform a testrun. ** Post-processing: Detailed information to perform post-processing operations are included in the /les-post-processing/readme_postpprocessing.txt ** References 1. Stevens, B., and Coauthors, 2005: Evaluation of Large-Eddy Simulations via Observations of Nocturnal Marine Stratocumulus. Mon. Wea. Rev., 133, 1443–1462, https://doi.org/10.1175/MWR2930.1. 2. Tonttila, J., Maalick, Z., Raatikainen, T., Kokkola, H., Kühn, T., and Romakkaniemi, S.: UCLALES–SALSA v1.0: a large-eddy model with interactive sectional microphysics for aerosol, clouds and precipitation, Geosci. Model Dev., 10, 169–188, https://doi.org/10.5194/gmd-10-169-2017, 2017. 3. Tonttila, J., Afzalifar, A., Kokkola, H., Raatikainen, T., Korhonen, H., and Romakkaniemi, S.: Precipitation enhancement in stratocumulus clouds through airborne seeding: sensitivity analysis by UCLALES-SALSA, Atmos. Chem. Phys., 21, 1035–1048, https://doi.org/10.5194/acp-21-1035-2021, 2021. 4. Morrison, H., and J. A. Milbrandt, 2015: Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests. J. Atmos. Sci., 72, 287–311, https://doi.org/10.1175/JAS-D-14-0065.1. 5. Tonttila, J., A. Korpinen, H. Kokkola, S. Romakkaniemi, C. Fortelius, and H. Korhonen, 2022: Interaction between Hygroscopic Seeding and Mixed-Phase Microphysics in Convective Clouds. J. Appl. Meteor. Climatol., 61, 1533–1547, https://doi.org/10.1175/JAMC-D-21-0183.1. 6. Calderón, S. M., Hyttinen, N., Kokkola, H., Raatikainen, T., Lawson, R. P., and Romakkaniemi, S.: Secondary ice formation in cumulus congestus clouds: insights from observations and aerosol-aware large-eddy simulations, Atmos. Chem. Phys., 25, 14479–14500, https://doi.org/10.5194/acp-25-14479-2025, 2025. 我要如何安装这个UCLALES模型,在什么软件里安装
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下载前可以先看下教程 https://pan.quark.cn/s/a426667488ae 标题“仿淘宝jquery图片左右切换带数字”揭示了这是一个关于运用jQuery技术完成的图片轮播机制,其特色在于具备淘宝在线平台普遍存在的图片切换表现,并且在整个切换环节中会展示当前图片的序列号。 此类功能一般应用于电子商务平台的产品呈现环节,使用户可以便捷地查看多张商品的照片。 说明中的“NULL”表示未提供进一步的信息,但我们可以借助标题来揣摩若干核心的技术要点。 在构建此类功能时,开发者通常会借助以下技术手段:1. **jQuery库**:jQuery是一个应用广泛的JavaScript框架,它简化了HTML文档的遍历、事件管理、动画效果以及Ajax通信。 在此项目中,jQuery将负责处理用户的点击动作(实现左右切换),并且制造流畅的过渡效果。 2. **图片轮播扩展工具**:开发者或许会采用现成的jQuery扩展,例如Slick、Bootstrap Carousel或个性化的轮播函数,以达成图片切换的功能。 这些扩展能够辅助迅速构建功能完善的轮播模块。 3. **即时数字呈现**:展示当前图片的序列号,这需要通过JavaScript或jQuery来追踪并调整。 每当图片切换时,相应的数字也会同步更新。 4. **CSS美化**:为了达成淘宝图片切换的视觉效果,可能需要设计特定的CSS样式,涵盖图片的排列方式、过渡效果、点状指示器等。 CSS3的动画和过渡特性(如`transition`和`animation`)在此过程中扮演关键角色。 5. **事件监测**:运用jQuery的`.on()`方法来监测用户的操作,比如点击左右控制按钮或自动按时间间隔切换。 根据用户的交互,触发相应的函数来执行...
垃圾实例分割数据集 一、基础信息 • 数据集名称:垃圾实例分割数据集 • 图片数量: 训练集:7,000张图片 验证集:426张图片 测试集:644张图片 • 训练集:7,000张图片 • 验证集:426张图片 • 测试集:644张图片 • 分类类别: 垃圾(Sampah) • 垃圾(Sampah) • 标注格式:YOLO格式,包含实例分割的多边形点坐标,适用于实例分割任务。 • 数据格式:图片文件 二、适用场景 • 智能垃圾检测系统开发:数据集支持实例分割任务,帮助构建能够自动识别和分割图像中垃圾区域的AI模型,适用于智能清洁机器人、自动垃圾桶等应用。 • 环境监控与管理:集成到监控系统中,用于实时检测公共区域的垃圾堆积,辅助环境清洁和治理决策。 • 计算机视觉研究:支持实例分割算法的研究和优化,特别是在垃圾识别领域,促进AI在环保方面的创新。 • 教育与实践:可用于高校或培训机构的AI课程,作为实例分割技术的实践数据集,帮助学生理解计算机视觉应用。 三、数据集优势 • 精确的实例分割标注:每个垃圾实例都使用详细的多边形点进行标注,确保分割边界准确,提升模型训练效果。 • 数据多样性:包含多种垃圾物品实例,覆盖不同场景,增强模型的泛化能力和鲁棒性。 • 格式兼容性强:YOLO标注格式易于与主流深度学习框架集成,如YOLO系列、PyTorch等,方便研究人员和开发者使用。 • 实际应用价值:直接针对现实世界的垃圾管理需求,为自动化环保解决方案提供可靠数据支持,具有重要的社会意义。
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