Paving the High-Way to Sustainable, Value Adding Open-Innovation Integrating Bigger-Data Challenges: Three Examples from Bio-Ingredients to Robust Durable Applications of Electrochemical Impacts

A trilogy review, based on more than 300 references, is used to underline three challenges facing 1) the supply of sustainable, durable and protected biosourced ingredients such as lipids, 2) the accounting for valuable bio-by-products, such as whey proteins that have added-value potential removing their environmental weight and 3) the practical reliable synthetic biology and evolutionary engineering that already serve as a technology and science basis to expand from, such as for biopolymer growth. Bioresources, which are the major topic of this review, must provide answers to several major challenges related to health, food, energy or chemistry of tomorrow. They offer a wide range of ingredients which are available in trees, plants, grasses, vegetables, algae, milk, food wastes, animal manures and other organic wastes. Researches in this domain must be oriented towards a bio-sustainable-economy based on new valuations of the potential of those renewable biological resources. This will aim at the substitution of fossil raw materials with renewable raw materials to ensure the sustainability of industrial processes by providing bioproducts through innovative processes using for instance micro-organisms and enzymes (the so-called white biotechnology). The final stage objective is to manufacture high value-added products gifted with the right set of physical, chemical and biological properties leading to particularly innovative applications. In this review, three examples are considered in a green context open innovation and bigger data environment. Two of them (lipids antioxidants and milk proteins) concern food industry while the third (biomonomers and corresponding bioplastics and derivatives) relates to biomaterials industry. Lipids play a crucial role in the food industry, but they are chemically unstable and very sensitive to atmospheric oxidation which leads to the formation of numerous by-compounds which have adverse effects on lipids quality attributes and on the nutritive value of meat. To overcome this problem, natural antioxidants, with a positive impact on the safety and acceptability of the food system, have been discovered and evaluated. In the same context, milk proteins and their derivatives are of great interest. They can be modified by enzymatic means leading to the formation of by-products that are able to increase their functionality and possible applications. They can also produce bioactive peptides, a field with almost unlimited research potential. On the other hand, biosourced chemicals and materials, mainly biomonomers and biopolymers, are already produced today. Metabolic engineering tools and strategies to engineer synthetic enzyme pathways are developed to manufacture, from renewable feedstocks, with high yields, a number of monomer building-block chemicals that can be used to produce replacements to many conventional plastic materials. Through those three examples this review aims to highlight recent and important advancements in production, modification and applications of the studied bioproducts. Bigger data analysis and artificial intelligence may help reweight practical and theoretical observations and concepts in these fields;helping to cross the boarders of expert traditional exploration fields and sometime fortresses.

Design and Analysis of Sustainable Green Data Center with Hybrid Energy Sources

Development of renewable energy (RE) and mitigation of carbon dioxide, as the two largest climate action initiatives are the most challenging factors for new generation green data center (GDC). Reduction of conventional electricity consumption as well as cost of electricity (COE) with preferred quality of service (QoS) has been recognized as the interesting research topic in Information and Communication Technology (ICT) sector. Moreover, it becomes challenging to design a large-scale sustainable GDC with standalone RE supply. This paper gives spotlight on hybrid energy supply solution for the GDC to reduce grid electricity usage and minimum net system cost. The proposed framework includes RE source such as solar photovoltaic, wind turbine and non-renewable energy sources as Disel Generator (DG) and Battery. A hybrid optimization model is designed using HOMER software for cost assessment and energy evaluation to validate the effectiveness of the suggested scheme focusing on eco-friendly implication.

Techno-Economic and Sustainability Analysis of Potential Cooling Methods in Irish Data Centres

11% of Irish electricity was consumed by data centres in 2020. The Irish data centre industry and the cooling methods utilised require reformative actions in the coming years to meet EU Energy policies. The resell of heat, alternative cooling methods or carbon reduction methods are all possibilities to conform to these policies. This study aims to determine the viability of the resell of waste heat from data centres both technically and economically. This was determined using a novel application of thermodynamics to determine waste heat recovery potential in Irish data centres, and the current methods of heat generation for economical comparison. This paper also explores policy surrounding waste heat recovery within the industry. The Recoverable Carnot Equivalent Power (RCEP) is theoretically calculated for the three potential cooling methods for Irish data centres. These are air, hybrid, and immersion cooling techniques. This is the maximum useable heat that can be recovered from a data centre rack. This study is established under current operating conditions which are optimised for cooling performance, that air cooling has the highest potential RCEP of 0.39 kW/rack. This is approximately 8% of the input electrical power that can be captured as useable heat. Indicating that Irish data centres have the energy potential to be heat providers in the Irish economy. This study highlighted the technical and economic aspects of prevalent cooling techniques and determined air cooling heat recovery cost can be reduced to 0.01 €/kWhth using offsetting. This is financially competitive with current heating solutions in Ireland.

GIScience for Sustainable Development

Due to the importance of development and its impact on our life, in this paper we are going to elaborate on the Sustainable Development and its related issues. In the following, due to the essential role that GIScience can play on the success trend of Sustainable Development, GIScience will be defined and its importance will be discussed as an effective tool in its logical procedure of Sustainable Development. The decision making support systems—using Geo-information and spatial data—is merging increasingly into other disciplines design and techniques day by day. So It would be worth investigation on the technical aspects of sustainable development and its consideration in projects development in general, throughout the literature review and SD requirements. The successful sustained achievement will depend on clear “political” answerability for its reliability and local regulatory environment. It should be in harmony with the additional superior prescription and ruling at the national or international levels by the use and utilization of national spatial data infrastructure. The paper will ends up with a set of suggested practices in the development of Spatial Data Infrastructure (SDI).

长江经济带粮食生态全要素生产率的时空特征

在资源环境约束趋紧、确保粮食安全底线多重压力下,厘清长江经济带粮食生态全要素生产率对深入推进长江大保护至关重要。基于2011—2020年长江经济带110个地级市数据,对粮食生产环节的碳排放、面源污染和生态价值进行测算,构建非期望产出框架下的投入产出体系,运用超效率Slacks-Based Measure模型和全局Malmquist-Luenberger指数考察长江经济带粮食生态全要素生产率的时空动态特征。研究发现:1)2012—2020年间长江经济带粮食生态全要素生产率总体呈增长态势,年均增长0.98%,且其增长主要源于技术进步而非技术效率提升所致。2)从时空特征看,2012—2020年长江经济带各地级市的粮食生态全要素生产率改善趋势明显,粮食综合技术效率变化的空间格局变化趋势无明显规律。3)在研究期内上游地区的粮食生态全要素生产率平均最高,然后依次是中游地区、下游地区。3个区域的粮食生态全要素生产率都处于递增状态。因此,在建设农业强国的征程中,要高度重视农业技术进步并不断提升粮食生产技术效率,以此来稳定提升长江经济带粮食生态全要素生产率,同时要根据区域禀赋差异设计针对性提升策略。

大数据分析在粮食安全和农业可持续性中的应用

在全球人口不断增长和气候变化不断加剧的背景下,粮食安全和可持续农业已经成为备受全球关注的紧迫议题,大数据分析技术的出现为应对这些挑战提供了新的机会。该文基于大数据分析技术,探讨其在粮食信息统计、物流管理,以及粮食安全监测和管理方面的应用,深入分析如何利用数据分析推动资源优化利用、减少资源浪费,促进农业可持续性生产方式应用,并提出未来大数据技术在粮食安全和农业可持续发展中的应用,逐步推动智能物联网技术及区块链技术的发展,进一步提高农业智慧化、安全化与透明化发展,从而为农业可持续发展提供重要支持。

基于物联网大数据的智慧城市可持续建设研究

文中针对智慧城市建设可持续发展与规划的重要意义和重大影响,利用物联网和大数据分析技术,提出了一种以物联网和大数据分析为基础的智慧城市可持续发展规划与建设框架。首先,设计了一种基于物联网的异构聚合智慧城市架构;然后,对框架进行了大数据分析与探讨;最后,利用HadoopEco系统,对数据吞吐率曲线与数据量大小进行了评估,验证了所提框架的实用性和先进性。

Analysis on the Sustainable Development Capability of New Energy Listed Companies in China

From the aspects of profitability, debt paying ability, operational capacity, cash flow capacity, and innovation capacity, the sustainable development evaluation system of new energy listed companies in China was established, and then an empirical analysis was conducted. Finally, some policy suggestions were put forward. The empirical analysis shows that there are many problems in the sustainable development of new ener- gy listed companies in China.

枯木逢春犹再发: 基于互联网档案循证的数字人文数据可持续访问和重用探索

[目的/意义]随着数字人文项目和成果不断涌现,许多数字人文项目在数据的长期归档、可持续访问与重用方面面临巨大挑战。探索帮助恢复或维持数字人文数据可持续访问和重用的方案并总结其经验对于数字人文领域公共数据基础设施建设具有重要意义。[方法/过程]运用基于互联网档案的循证方法对RESTORE、Sustainable Digital Scholarship、King’s Digital Lab和Cambridge Digital Humanities Lab 4个项目开展探索分析。研究借助互联网档案馆及其提供的网络信息溯源工具“网络时光机”收集数据,并运用内容分析法从技术、人力和财务三个视角进一步开展数据分析。[结果/结论]研究总结了实现数字人文数据可持续访问和重用所需的基础设施支持,提出6条研究启示,为我国数字人文领域公共数据基础设施建设提供参考。

Monitoring Land-Use Change in Nakuru (Kenya) Using Multi-Sensor Satellite Data

Recently land-use change has been the main concern for worldwide environment change and is being used by city and regional planners to design sustainable cities. Nakuru in the central Rift Valley of Kenya has undergone rapid urban growth in last decade. This paper focused on urban growth using multi-sensor satellite imageries and explored the potential benefits of combining data from optical sensors (Landsat, Worldview-2) with Radar sensor data from Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) data for urban land-use mapping. Landsat has sufficient spectral bands allowing for better delineation of urban green and impervious surface, Worldview-2 has a higher spatial resolution and facilitates urban growth mapping while PALSAR has higher temporal resolution compared to other operational sensors and has the capability of penetrating clouds irrespective of weather conditions and time of day, a condition prevalent in Nakuru, because it lies in a tropical area. Several classical and modern classifiers namely maximum likelihood (ML) and support vector machine (SVM) were applied for image classification and their performance assessed. The land-use data of the years 1986, 2000 and 2010 were compiled and analyzed using post classification comparison (PCC). The value of combining multi-temporal Landsat imagery and PALSAR was explored and achieved in this research. Our research illustrated that SVM algorithm yielded better results compared to ML. The integration of Landsat and ALOS PALSAR gave good results compared to when ALOS PAL- SAR was classified alone. 19.70 km2 of land changed to urban land-use from non-urban land-use between the years 2000 to 2010 indicating rapid urban growth has taken place. Land-use information is useful for the comprehensive land-use planning and an integrated management of resources to ensure sustainability of land and to achieve social Eq- uity, economic efficiency and environmental sustainability.

基于大数据环境下的高校智慧图书馆建设策略探究

图书馆是一个重要的知识传承和文化传播机构,而智慧图书馆则是大数据技术支持下的图书馆新概念。通过智慧图书馆的内涵,分析大数据在建设智慧图书馆中的作用,从加大建设支持力度、完善理论研究体系、加强资源与馆员人才队伍建设、拓展智慧服务渠道、构建智慧微媒体平台以及建立高校图书馆联盟等方面积极推进高校智慧图书馆建设,提高服务质量和效率,为读者提供更加个性化、便捷和高效的服务体验,促进图书馆的数字化转型和智能化升级,推动图书馆行业的创新和发展。

数字经济与地方财政可持续性——基于国家级大数据综合试验区的准自然实验

在数字经济时代及地方财政收支压力加大的双重背景下,从财政视角探究数字经济对地方财政可持续性的影响是值得关注的问题。本文选择2016年全国获批建设国家级大数据综合试验区的准自然实验作为数字经济的代理变量,利用2013—2022年31个省份的面板数据,测度了我国各地区的财政可持续能力指数,并采用倾向得分匹配双重差分法评估数字经济对地方财政可持续能力的影响及差异。研究发现:数字经济明显促进了地方财政可持续能力的提升,在进行了安慰剂检验和替换被解释变量后,结论仍然成立。作用机制表明,数字经济发展通过提升财政依存度和财政自给率来影响地方财政可持续性。异质性分析表明,数字经济能够有效改善和提升西部地区、政府负债率高水平地区和政府效率低水平地区的财政可持续能力,有助于减少财政失衡和地区差距。因此,本文建议政府应持续推动大数据产业发展,使地方财政更可持续。

数字化背景下基于边缘计算驱动的智慧农业

在全球数字经济浪潮中,AI、云计算、大数据等科技革命性地重塑经济民生,驱使农业迈入数据导向的数字纪元。农业经历了手工作业、机械化至初步自动化,现正快速步入新一代信息技术引领的智慧农业时代。本文聚焦于边缘计算驱动的智慧农业构建,这一技术范式对于克服农业数据管理和决策难题至关重要。边缘计算凭借数据近源处理,实现数据的实时分析与低延迟响应,展现对农业基础设施局限的高适应性和稳定性。实证研究数据表明,集成边缘智能方案极大提升了数据处理能力并降低成本,验证了其在协同作用下效率显著提升的潜力。研究不仅关注生产效率的提升,还深入分析边缘计算在农业数据处理与决策中的多元效益,涵盖经济效益、社会及生态层面;不仅巩固了农产品市场稳定与可持续发展的根基,还为智慧农业的创新实践与未来发展提供了坚实的理论框架和战略导向。

我国养蜂业数字化转型:现状分析、面临挑战及应对策略

该文探讨我国养蜂业数字化转型的现状、面临的挑战及应对策略。研究发现,我国养蜂业在技术基础设施、数据管理与应用、专业人才、资金支持及行业标准等方面存在显著不足,严重制约产业的现代化进程和可持续发展。针对这些问题,该文提出改善技术基础设施、加强数据管理应用、培养专业人才、增加资金支持及制定行业标准等策略。研究认为,推动养蜂业的数字化转型不仅是提升生产效率和产品质量的重要手段,也是增强产业竞争力和实现可持续发展的关键途径。

关于金属矿产资源勘查工作的要点和方法探讨

随着信息技术和勘探技术的飞速发展,金属矿产资源勘查正在经历前所未有的变革。然而,这一领域仍面临着资源量减少、环境保护压力增大等多重挑战。基于此,文章全面分析了金属矿产资源勘查的基本原则、技术方法、数据处理与分析、矿产评估与预测、风险管理与决策支持,并通过案例研究进行实践应用分析。文章的目的是为了提高勘查效率,减少环境影响,促进矿产资源的可持续开发。文章对于指导未来金属矿产资源勘查具有重要的理论和实践意义。

数据中心能源效率优化与可持续发展

该文旨在研究数据中心能源效率优化与可持续发展之间的关系。分析数据中心的能源消耗结构,指出高能耗对环境的潜在威胁。探讨了多种能源效率提升策略,包括硬件和设备优化、软件和数据管理以及可再生能源采用。关注数据中心的可持续发展和环境影响,包括碳足迹和社会责任;强调了可持续发展的重要性,提供了未来发展方向的展望。

2024年1一9月针织行业经济运行分析

对2024年1—9月中国针织行业经济运行情况进行分析,表明2024年1—9月中国针织行业的运营规模和质量实现了稳定与回升,针织产品出口在2023年较高基数上稳中有增,体现出行业发展的韧性。同时指出,下半年开始行业主要运营指标的增长幅度趋于放缓,反映出行业发展仍面临诸多困难,需要以市场为导向坚持创新,实现行业健康稳定的持续发展。

浅谈数字化技术在生态环境保护中的作用

本文着重分析了数字化技术在环保领域的广泛应用及其带来的影响。首先,本文探讨了云计算、大数据等互联网技术在环境监测和管理方面的核心作用,这些技术在有效提升环境监测的效率和准确度、制定科学环保政策和应对自然灾害方面具备独特优势。此外,文章探讨了卫星遥感和物联网在环境监控方面的具体应用,也介绍了社交媒体和在线教育对提升公众环保意识的重要作用。文章还涉及了实施这些技术时面临的挑战,例如数据安全和隐私保护问题。最后,展望了物联网、大数据、人工智能等技术在推动可持续能源发展和生态恢复方面的潜力与未来趋势。

人工智能在环境保护中的应用

随着全球环境问题的日益严重,人们迫切需要寻找创新的解决方案来保护地球。随着人工智能(Artificial Intelligence,AI)的高速发展,作为一种强大的技术手段,凭借其强大的计算能力及高强度的工作能力,已经开始在环境保护领域展示出巨大的潜力。该文综述人工智能在环境检测、数据分析及可持续发展等各个方面中的应用,以及人工智能在环境保护各个方面的应用中所存在的问题并提出相对应的解决方案,也阐述未来人工智能在环境保护中的潜在影响和挑战。