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气候变化挑战 - 主动模型
学习者扮演着通过气候变化生活的学生或老师的角色。他们将骰子滚动并移至减轻气候变化的电台，要求它们适应或引起意外问题。在整个游戏中，学生们跟踪他们发生的事情以及旅途的后果。活动结束了，对游戏中发生的事情进行了热烈的讨论，以及结果如何告知他们的选择，成为解决气候变化的解决方案的一部分。询问：学生定义术语以了解大气碳如何影响气候以及缓解和适应变化的含义。调查：学生参加一个活跃的模型，以找到减轻和/或适应变化的一些动作：学生使用他们的“生活故事”来撰写有关解决方案和适应策略的文章。
对机器人技术的认识、态度和知识......
The aim of this study was to assess the awareness, attitude, and knowledge of Robotic technologies used in neurorehabilitation among Physiotherapy interns and Professionals across Maharashtra. A cross-sectional study was conducted in tertiary care hospitals and colleges in Maharashtra, India, using a self-made questionnaire. The results showed that 63% of the individuals are moderately aware, 67% have a positive outlook on the implementation of such advances but only 7.5% have accurate knowledge of the technology and its uses. Most of the participants also believe that Robotic Rehabilitation can be very time effective and reduce the load of the therapist as well as play a very important role in aiding neuroplasticity after rehabilitation. The study demonstrated that a higher degree of understanding and a more positive attitude regarding the application of Robotic Rehabilitation follow from heightened awareness of this field. Enhanced training programs, better integration of technology into rehabilitation practices, addressing time constraints and workload prioritization, and most importantly, overcoming economic barriers will ensure the effective implementation of Robotic therapies for the benefit of the patient and society as a whole. This will revolutionize the field of Physiotherapy and rehabilitation, offering new avenues for improving treatment outcomes and advances in clinical practice. The study concluded that, it is important to generate or enhance awareness towards the most-advancing fields and the uses of Robotic technology in neurological conditions in clinical practice which empowers Physiotherapy to adapt to the changing landscape of healthcare and deliver high-quality, patient-centered care. Keywords: Advanced Technology, Artificial Intelligence, Neurorehabilitation, Robotic Physiotherapy, Robotic Rehabilitation, Robotic Technology (RT) ________________________________________________________________________________________________________
地球物理方法减轻城市环境中地热项目发现的风险：挑战和机遇
要有效地将供暖部门脱碳，必须适应常规勘探技术，以满足城市环境的特定技术要求和地质环境。该研讨会旨在将探索专家和潜在地热操作员汇集在一起，以展示需求和选择，对城市地热探索的成功案例研究，并确定未开发地区面临的挑战。结果应有助于适应加速加热部门转化的标准地球物理探索策略。
2025 年零售业的热门话题
零售商面临着一个根本性的选择：要么适应，要么在利润率下降和竞争加剧的环境下面临灭亡。零售商无需追求高价奢侈品或低价折扣，还有第三条道路，那就是投资数字化工具，打造全新的购物体验。转型所需的技术已经存在；统一商务、微服务和人工智能对于运营效率和差异化至关重要。我们必须迅速采取行动——零售业的中间地带正在消失，只有那些愿意适应变化的企业才能生存。
英格兰NHS组织的气候适应框架
成功的气候适应不仅仅是分析气候数据和风险模型的情况。有效的领导力，治理安排，包容性的计划方法和超越孤岛的工作对于成功适应而言至关重要。该框架基于这样的概念，即组织具有“能力”的适应性，该框架决定了其适应气候变化的能力。该框架被分为四个功能，每个NHS组织都需要适应和弹性，并符合气候变化，提供了逐步的任务来指导适应之旅。
2021 年澳大利亚人工智能出口调查。...
机器学习 (ML) 是人工智能的一个子领域。它指的是一种无需明确编程就能从经验和反馈中学习的计算机系统。ML 用于根据数据做出预测和结论。机器通过根据观察到的数据更新其内部模型来学习，目的是对未来数据进行更准确的预测。机器还可以设计为适应复杂变化的环境，并根据收到的数据调整其响应。
