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Sports Prediction Model through Cloud Computing and Big Data Based on Artificial Intelligence Method

Journal of Intelligent Learning Systems and Applications 2024年第2期16卷 53-79页

作者： Aws I. Abu Eid achraf ben mi.ed Ahlem Fatnassi Majid A. Nawaz Ashraf F. A. Mahmoud Faroug A. Abdalla Chams Jabnoun Aida Dhibi Firas M. Allan Mohammed Ahmed Elhossiny Salem Belhaj Imen ben Mohamed Faculty of Computing Studies Arab Open University Amman Jordan Computer Science Department Science College Northern Border University Arar Kingdom of Saudi Arabia Artificial Intelligence and Data Engineering Laboratory LR21ES23 Faculty of Sciences of Bizerte University of Carthage Tunis Tunisia Applied College Northern Border University Arar Kingdom of Saudi Arabia Faculty of Specific education Mansoura University Mansoura Egypt

This article delves into the intricate relationship between big data, cloud computing, and artificial intelligence, shedding light on their fundamental attributes and interdependence. It explores the seamless amalgamation of AI methodologies within cloud computing and big data analytics, encompassing the development of a cloud computing framework built on the robust foundation of the Hadoop platform, enriched by AI learning algorithms. Additionally, it examines the creation of a predictive model empowered by tailored artificial intelligence techniques. Rigorous simulations are conducted to extract valuable insights, facilitating method evaluation and performance assessment, all within the dynamic Hadoop environment, thereby reaffirming the precision of the proposed approach. The results and analysis section reveals compelling findings derived from comprehensive simulations within the Hadoop environment. These outcomes demonstrate the efficacy of the Sport AI Model (SAIM) framework in enhancing the accuracy of sports-related outcome predictions. Through meticulous mathematical analyses and performance assessments, integrating AI with big data emerges as a powerful tool for optimizing decision-making in sports. The discussion section extends the implications of these results, highlighting the potential for SAIM to revolutionize sports forecasting, strategic planning, and performance optimization for players and coaches. The combination of big data, cloud computing, and AI offers a promising avenue for future advancements in sports analytics. This research underscores the synergy between these technologies and paves the way for innovative approaches to sports-related decision-making and performance enhancement.

关键词： Artificial Intelligence Machine Learning Spark Apache Big Data SAIM

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RPL-Based IoT Networks under Decreased Rank Attack:Performance Analysis in Static and Mobile Environments

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Computers, Materials & Continua 2024年第1期78卷 227-247页

作者： Amal Hkiri Mouna Karmani Omar ben Bahri Ahmed Mohammed Murayr Fawaz Hassan Alasmari Mohsen Machhout Physic Department Electronics and Micro-Electronics LaboratoryFaculty of Sciences of MonastirMonastir5000Tunisia Department of Science and Technology College of RanyahTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

The RPL(IPv6 Routing Protocol for Low-Power and Lossy Networks)protocol is essential for efficient communi-cation within the Internet of Things(IoT)*** its significance,RPL’s susceptibility to attacks remains a *** paper presents a comprehensive simulation-based analysis of the RPL protocol’s vulnerability to the decreased rank attack in both static andmobilenetwork *** employ the Random Direction Mobility Model(RDM)for mobile scenarios within the Cooja *** systematic evaluation focuses on critical performance metrics,including Packet Delivery Ratio(PDR),Average End to End Delay(AE2ed),throughput,Expected Transmission Count(ETX),and Average Power Consumption(APC).Our findings illuminate the disruptive impact of this attack on the routing hierarchy,resulting in decreased PDR and throughput,increased AE2ed,ETX,and *** results underscore the urgent need for robust security measures to protect RPL-based IoT ***,our study emphasizes the exacerbated impact of the attack in mobile scenarios,highlighting the evolving security requirements of IoT networks.

关键词： RPL decreased rank attacks mobility random direction model

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经鼻高流量湿化氧疗在阻塞性睡眠呼吸暂停低通气综合征中的应用

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中国基层医药 2024年第7期31卷 1116-1120页

作者：刘宝德郑相宓奔杭州市第一人民医院急诊科杭州310006

随着时代的发展, 医疗技术水平不断进步, 氧气疗法已经成为临床诊治中不可或缺的一部分, 是临床中为患者提供的基础性诊治方式, 而经鼻高流量湿化氧疗(HFNC)能够在对患者进行呼气末正压效应、加温加湿、持续对鼻咽部生理无效腔冲刷的同... 详细信息

随着时代的发展, 医疗技术水平不断进步, 氧气疗法已经成为临床诊治中不可或缺的一部分, 是临床中为患者提供的基础性诊治方式, 而经鼻高流量湿化氧疗(HFNC)能够在对患者进行呼气末正压效应、加温加湿、持续对鼻咽部生理无效腔冲刷的同时, 还具有舒适性, 因此取代普通氧疗及部分无创通气诊治, 成为临床治疗的首选。HFNC由于其独特的生理效应, 广泛运用于临床当中。而阻塞性睡眠呼吸暂停低通气综合征(OSAHS)为常见睡眠障碍性疾病, 导致患者睡眠结构紊乱, 反复发生憋醒等症状, 增加心血管等疾病的发病及病死率, 因此及时进行科学有效的治疗方式十分重要。HFNC不仅能够提供高流量气流及相应气道压力, 还具有较高耐受性, 因此已逐渐运用于OSAHS患者的治疗中, 该研究针对HFNC的生理效应及在OSAHS中的应用进行研究, 希望为同行业学者提供理论依据。

关键词：睡眠呼吸暂停,阻塞性氧吸入疗法湿度正压呼吸综述

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氧调节原生负极-固态电解质界面层助力高稳定性固态钠金属电池

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Science Bulletin 2024年第1期69卷 49-58页

作者：曹克爽夏宇凡李皓盛黄慧琴 Sikandar Iqbal Muhammad Yousaf 徐斌孙文平严密潘洪革姜银珠 School of Materials Science and Engineering Zhejiang UniversityHangzhou 310027China ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311200China Mechanical and Construction Engineering Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle upon Tyne NE18STUK Institute of Science and Technology for New Energy Xi’an Technological UniversityXi’an 710021China State Key Laboratory of Baiyunobo Rare Earth Resource Researches and Comprehensive Utilization Baotou Research Institute of Rare EarthsBaotou 014030China

Solid-state sodium metal batteries utilizing inorganic solid electrolytes(SEs)hold immense potentials such as intrinsical safety,high energy density,and environmental ***,the interfacial inhomogeneity/instability at the anode-SE interface usually triggers the penetration of sodium dendrites into the electrolyte,leading to short circuit and battery ***,confronting with the original nonuniform and high-resistance solid electrolyte interphase(SEI)at the Na-Na_(3)Zr_(2)Si_(2)PO_(12)interface,an oxygen-regulated SEI innovative approach is proposed to enhance the cycling stability of anode-SEs interface,through a spontaneous reaction between the metallic sodium(containing trace amounts of oxygen)and the Na_(3)Zr_(2)Si_(2)POi_(2)*** oxygen-regulated spontaneous SEI is thin,uniform,and kinetically stable to facilitate homogenous interfacial Na^+transportation,benefitting from the optimi.ed SEI,the assembled symmetric cell exhibits an ultra-stable sodium plating/stripping cycle for over 6600 h under a practical capacity of 3 mAh cm^(-2).Qua si-sol id-state batteries with Na_(3)V_(2)(PO_(4))_(3)cathode deliver excellent cyclability over 500 cycles at a rate of 0.5 C(1 C=117 mA cm^(-2))with a high capacity retention of95.4%.This oxygen-regulated SEI strategy may offer a potential avenue for the future development of high-energy-density solid-state metal batteries.

关键词： Na metal anode Solid-state batteries NaSICON Anode interface Solid electrolyte interphase

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青藏高原高寒植物对生长季偶发性霜冻事件表现出深度过冷却现象

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Journal of Plant Ecology 2024年第3期17卷 84-94页

作者： Ji Suonan Wangwang Lü Aimée TClassen Wenying Wang ben La Xuwei Lu Cuo Songzha Chenghao Chen Qi miao Fanghui Sun Lhamo Tsering Shiping Wang College of Life Sciences Qinghai Normal UniversityXining 810016China Key Laboratory of Biodiversity Formation Mechanism and Comprehensive Utilization of the Qinghai-Tibet Plateau in Qinghai Province Xining 810016China State Key Laboratory of Tibetan Plateau Earth System Resources and EnvironmentInstitute of Tibetan Plateau ResearchBeijing 100101China Department of Ecology and Evolutionary Biology University of MichiganMI 48109USA

气候变暖促进了植物的春季物候,打破了气候与植物生长之间原有的平衡。随着极端气候事件出现更加频繁,气候与植物生长之间的不匹配性会影响植物的生存、生长和繁殖。为了防止生长季节在细胞内结冰,植物会采用过冷却策略。然而,气候事件... 详细信息

气候变暖促进了植物的春季物候,打破了气候与植物生长之间原有的平衡。随着极端气候事件出现更加频繁,气候与植物生长之间的不匹配性会影响植物的生存、生长和繁殖。为了防止生长季节在细胞内结冰,植物会采用过冷却策略。然而,气候事件的严重程度和物候期可能会影响植物在霜冻事件后的恢复。本研究通过实验探究了4种不同严重程度的极端霜冻事件如何影响青藏高原上两种优势物种钉柱委陵菜(Potentilla saundersiana,仲夏开花)和小龙胆(Gentiana parvula,夏末开花)的过冷却点和枯黄期。探讨了物候期如何影响钉柱委陵菜对霜冻事件的反应。结果发现,两个物种在遭受霜冻损害时都表现出过冷现象。钉柱委陵菜的平均过冷却点为−6.9℃,并受最低温度、持续时间和物候期的影响,而小龙胆的平均过冷却点为−4.8℃,最低温度和持续时间对其过冷却点影响不显著。此外,两个物种在最低温度(−10℃)处理持续4小时后均快速枯黄。本研究首次探索并定量了青藏高原高寒植物的过冷却点。鉴于高寒植物遭遇霜冻事件的概率不断增加,上述结果对了解高寒植物的生长和生存如何应对极端气候的不利影响具有重要意义。

关键词：气候变化极端霜冻事件过冷却现象物候期枯黄

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机器换人能否加速制造业国产化替代进程

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当代财经 2024年第1期 3-17页

作者：张本秀吴福象南京大学经济学院江苏南京210093 南京大学长江三角洲经济社会发展研究中心江苏南京210093

机器换人背景下,制造业企业作为创新主体,需集中优质资源合力实现关键技术突破和核心设备自主可控,巩固市场优势和竞争优势,加速制造业国产化替代进程。基于2011—2019年的制造业行业面板数据并将产品质量升级纳入机器换人和制造业国产... 详细信息

机器换人背景下,制造业企业作为创新主体,需集中优质资源合力实现关键技术突破和核心设备自主可控,巩固市场优势和竞争优势,加速制造业国产化替代进程。基于2011—2019年的制造业行业面板数据并将产品质量升级纳入机器换人和制造业国产化替代分析框架的实证研究表明,机器换人有利于加速制造业国产化替代进程,效率提升型产品质量升级和技术优化型产品质量升级是其主要作用机制。并且,机器换人对制造业国产化替代的影响具有行业异质性,机器换人的促进作用在劳动密集型行业和技术密集型行业中更为突出,但不会受到行业研发人员密度异质性的影响。上述结论意味着,合理应对机器换人冲击是促进制造业国产化替代稳定向好的关键,对劳动密集型和技术密集型等重点行业精准施策将带来更为有效的国产化替代促进效果。

关键词：机器换人效率提升技术优化产品质量升级国产化替代

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三塘湖盆地侏罗系富油煤特征及沉积环境控制

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石油学报 2024年第5期45卷 787-803页

作者：师庆民赵奔王双明李新李春昊韩波米奕臣何羽飞蔡玥张哲豪冀瑞君西安科技大学地质与环境学院陕西西安710054 中国石油集团测井有限公司陕西西安710077 陕西煤业化工技术研究院有限责任公司陕西西安710100

新疆地区广泛分布通过低温热解提取油气的富油煤资源,但其在不同沉积位置的热解焦油产率存在较大差异,制约了富油煤精细勘查评价。以三塘湖盆地八道湾组和西山窑组煤样为研究对象,在充分认识以亚甲基、次甲基等形式存在的脂肪链结构是... 详细信息

新疆地区广泛分布通过低温热解提取油气的富油煤资源,但其在不同沉积位置的热解焦油产率存在较大差异,制约了富油煤精细勘查评价。以三塘湖盆地八道湾组和西山窑组煤样为研究对象,在充分认识以亚甲基、次甲基等形式存在的脂肪链结构是富油煤关键微观特点的基础上,阐释了煤显微组分的微观分子结构特点及其对焦油产率的影响,揭示了泥炭沼泽环境对煤分子结构及其焦油产率的控制规律。研究结果表明:镜质组的长链脂肪结构更加丰富有利于提高煤焦油产率,覆水较深、还原性强、植物组织结构降解程度高的泥炭沼泽环境形成的富油煤包含更多的脂肪氢结构,尤其是亚甲基和次甲基结构等,从而产出更高的热解焦油。八道湾组煤具备上述关键物质特点及成煤环境特点,从而比西山窑组煤具有更高的焦油产率。同时,不同成煤期植物类型及其对古地温的热演化响应差异也是值得探讨的问题。

关键词：富油煤微观分子结构显微组分成煤环境三塘湖盆地

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Grain dehydration rate is related to post-silking thermal time and ear characters in different maize hybrids

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Journal of Integrative Agriculture 2022年第4期21卷 964-976页

作者： SHI Wen-jun SHAO Hui SHA Ye SHI Rong SHI Dong-feng CHEN Ya-chao BAN Xiang-ben mi Guo-hua The Key Lab of Plant–Soil Interaction Ministry of Education/National Academy of Agriculture Green Development/College of Resources and Environmental ScienceChina Agricultural UniversityBeijing 100193P.R.China

Mechanized grain harvest of maize becomes increasingly important with growing land plot size in Northeast China. Grain moisture is an important factor affecting the performance of mechanized grain harvest. However, it remains unclear what influences grain dehydration rate. In this study, maize grain dehydrating process was investigated in a two-year field experiment with five hybrids under two planting densities in 2017 and 2018. It was found that damaged-grain ratio was the main factor affecting mechanized harvest quality, and this ratio was positively correlated with grain moisture content at harvest(R^(2)=0.6372, Ped-grain ratio for mechanized grain harvest, the optimal maize grain moisture content was 22.3%. From silking to physiological maturity, grain dehydrating process was mostly dependent on the thermal time(growing degree days, GDDs)(r=-0.9412, Ped, but the correlation coefficient became smaller(r=-0.8267, Ped by genotypes. Grain dehydrated faster when a hybrid has a smaller husk area(r=0.6591, Peduncle(r=-0.9356, Ped for breeders and farmers to select hybrids suitable for mechanized grain harvest.

关键词： maize grain moisture grain dehydrating grain damage mechanized harvest ear traits genotype

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microwave-Assisted Hydrolysis of Hemicellulose over Sulfonated Catalysts

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Advances in Materials Physics and Chemistry 2022年第11期12卷 306-322页

作者： Itidel Belkadhi Mohamed achraf Bouabdellah Lassâad ben Hammouda Zouhaier Ksibi Francesco Medina University Tunis-El Manar Tunisia Rovira I Virgili University Tarragona Spain

Sulfonated catalysts based on zirconia (SO3H-ZrO2), silica (SO3H-SBA-15) and zeolite (SO3H-ZSM-5) were studied in the catalytic hydrolysis reaction of hemicellulose in a microwave reactor. The prepared catalysts were characterized by various techniques (XRD, N2 physisorption at 77 K, SEM, TEM and NH3-TPD). The obtained results reveal that despite the differences in their structural and textural properties, the ZrO2, Al-SBA-15 and H-ZSM-5 supports show similar conversions. Doping supports with sulfonate species created hydrogen bonds between SO3H groups and increased the amount of weak acid sites, which enhanced the hydrolysis of hemicellulose. SO3H- ZSM-5 showed the highest catalytic activity followed by SO3H-SBA-15 while SO3H-ZrO2 exhibited a poor conversion. Furthermore, the catalytic hydrolysis of the hemicellulose leads to several interesting products, such as formic acid, acetic acid, lactic acid and xylan. The correlation between the catalytic performances and the acidic properties of the different samples indicates that the best catalytic performances were obtained with the least acidic solids and especially when the density of strong acid sites decreases.

关键词： ZrO2 Al-SBA-15 H-ZSM-5 SO3H Hemicellulose microwave

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Synergistic“Anchor‑Capture”Enabled by Amino and Carboxyl for Constructing Robust Interface of Zn Anode

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纳微快报:英文版 2023年第11期15卷 265-280页

作者： Zhen Luo Yufan Xia Shuang Chen Xingxing Wu Ran Zeng Xuan Zhang Hongge Pan mi Yan Tingting Shi Kai Tao ben Bin Xu Yinzhu Jiang School of Materials Science and Engineering Zhejiang UniversityHangzhou 310027People’s Republic of China ZJU‑Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311215People’s Republic of China State Key Laboratory of Fluid Power and Mechatronic Systems Key Laboratory of Advanced Manufacturing Technology of Zhejiang ProvinceSchool of Mechanical EngineeringZhejiang UniversityHangzhou 310027People’s Republic of China Institute of Science and Technology for New Energy Xi’an Technological UniversityXi’an 710021People’s Republic of China State Key Laboratory of Baiyunobo Rare Earth Resource Researches and Comprehensive Utilization Baotou Research Institute of Rare EarthsBaotou 014030People’s Republic of China Guangdong Provincial Engineering Technology Research Center of Vacuum Coating Technologies and New Energy Materials Department of PhysicsJinan UniversityGuangzhou 510632GuangdongPeople’s Republic of China Zhejiang-Israel Joint Laboratory of Self-Assembling Functional Materials Hangzhou 311200People’s Republic of China Mechanical and Construction Engineering Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle upon Tyne NE18STUK

While the rechargeable aqueous zinc-ion batteries(AZIBs)have been recognized as one of the most viable batteries for scale-up application,the instability on Zn anode–electrolyte interface bottleneck the further development ***,we utilize the amino acid glycine(Gly)as an electrolyte additive to stabilize the Zn anode–electrolyte *** unique interfacial chemistry is facilitated by the synergistic“anchor-capture”effect of polar groups in Gly molecule,manifested by simultaneously coupling the amino to anchor on the surface of Zn anode and the carboxyl to capture Zn^(2+)in the local *** such,this robust anode–electrolyte interface inhibits the disordered migration of Zn^(2+),and effectively suppresses both side reactions and dendrite *** reversibility of Zn anode achieves a significant improvement with an average Coulombic efficiency of 99.22%at 1 mA cm^(−2)and 0.5 mAh cm^(−2)over 500 *** at a high Zn utilization rate(depth of discharge,DODZn)of 68%,a steady cycle life up to 200 h is obtained for ultrathin Zn foils(20μm).The superior rate capability and long-term cycle stability of Zn–MnO_(2)full cells further prove the effectiveness of Gly in stabilizing Zn *** work sheds light on additive designing from the specific roles of polar groups for AZIBs.

关键词： Zn anode–electrolyte interface Polar groups Synergistic“anchor-capture”effect Side reactions Dendrite growth

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