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1.
Methods Mol Biol ; 2553: 1-20, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36227536

RESUMO

Metabolic engineering has evolved towards creating cell factories with increasingly complex pathways as economic criteria push biotechnology to higher value products to provide a sustainable source of speciality chemicals. Optimization of such pathways often requires high combinatory exploration of best pathway balance, and this has led to increasing use of high-throughput automated strain construction platforms or novel optimization techniques. In addition, the low catalytic efficiency of such pathways has shifted emphasis from gene expression strategies towards novel protein engineering to increase specific activity of the enzymes involved so as to limit the metabolic burden associated with excessively high pressure on ribosomal machinery when using massive overexpression systems. Metabolic burden is now generally recognized as a major hurdle to be overcome with consequences on genetic stability but also on the intensified performance needed industrially to attain the economic targets for successful product launch. Increasing awareness of the need to integrate novel genetic information into specific sites within the genome which not only enhance genetic stability (safe harbors) but also enable maximum expression profiles has led to genome-wide assessment of best integration sites, and bioinformatics will facilitate the identification of most probable landing pads within the genome.To facilitate the transfer of novel biotechnological potential to industrial-scale production, more attention, however, has to be paid to engineering metabolic fitness adapted to the specific stress conditions inherent to large-scale fermentation and the inevitable heterogeneity that will occur due to mass transfer limitations and the resulting deviation away from ideal conditions as seen in laboratory-scale validation of the engineered cells. To ensure smooth and rapid transfer of novel cell lines to industry with an accelerated passage through scale-up, better coordination is required form the onset between the biochemical engineers involved in process technology and the genetic engineers building the new strain so as to have an overall strategy able to maximize innovation at all levels. This should be one of our key objectives when building fermentation-friendly chassis organisms.


Assuntos
Biotecnologia , Engenharia Metabólica , Biotecnologia/métodos , Biologia Computacional , Fermentação , Indústrias , Engenharia Metabólica/métodos
2.
Appl Ergon ; 106: 103906, 2023 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-36150284

RESUMO

Double-checking has been used in high-consequence industries for decades. We aimed to determine the strength of the evidence-base regarding the effectiveness of double-checking which underpins its widespread adoption. We searched for quantitative studies of the effectiveness of two-person checking in industry sectors, excluding healthcare. We performed a systematic literature search across six databases and hand-searched key journals. We completed a narrative synthesis and quality assessment of the nine studies identified. Most studies were of fair quality. Two examined the use of two-person checks in aviation, three investigated tasks in chemical manufacturing, and four studies in psychology involved proofreading and visual search tasks. All studies found that the performance of two-people checking was not superior to that of one-person in detecting errors. Further research to compare the effectiveness of different checking processes along with factors which may support optimisation of safety checks in high-consequence industries is required.


Assuntos
Indústrias , Gestão da Segurança , Humanos , Gestão da Segurança/métodos
3.
J Environ Manage ; 325(Pt A): 116632, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36419296

RESUMO

Promoting the development of financial instruments can influence carbon emission reduction in the context of the carbon peaking and carbon neutrality goals. There are currently no theoretical mechanisms to explain whether and how digital inclusive finance, as a new type of financial service, influences residential consumption-based embodied carbon emissions. This study employs the mediation model, moderation model, and moderated mediation model to empirically evaluate the influence mechanism of digital inclusive finance on consumption-based embodied carbon emissions per capita in China from 2011 to 2019. The findings demonstrate that the development of digital inclusive finance increases residents' consumption-based embodied carbon emissions by upgrading consumption level and consumption structure, but that upgrading industrial structure does indeed have a significantly negative moderating effect in implications paths, causing consumption-based embodied carbon emissions to shift from positive to negative. This study, by focusing on the advancement of digital inclusive finance, offers policymakers suggestions for reducing consumption-based embodied carbon emissions from the standpoints of consumption upgrading and industrial structure upgrading, respectively.


Assuntos
Carbono , Indústrias , China , Condições Sociais
4.
J Environ Manage ; 325(Pt A): 116618, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36419298

RESUMO

Green innovation facilitates high-quality economic development and ecological environmental protection. Herein, the minimum distance to strong efficient frontier (MinDS) model was used to measure green innovation efficiencies (GIEs) of 30 Chinese provinces over a period of 21 years (2000-2020). Gini coefficient decomposition and kernel density estimation methods were used to analyze the regional differences of GIE. Spatial correlation was estimated to analyze spatial-spillover effects and spatial convergence of the GIE. China's GIE has shown an increasing trend with significant spatial differences in GIE among provinces. Regional differences and transvariation intensity are the primary sources of spatial differences in GIE. Regional differences in GIE have decreased, except for eastern regions. The results of spatial convergence estimation suggest spatial absolute and conditional convergence in all regions. Therefore, for the GIE improvement in China, the effects of economic level, industrial structure, and environmental regulations must be considered.


Assuntos
Desenvolvimento Econômico , Indústrias , China , Análise Espacial
5.
J Environ Manage ; 325(Pt B): 116544, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36419307

RESUMO

To investigate the direct influence and mechanism of China's financial and manufacturing co-agglomeration on environmental pollution, we constructed a panel data regression model incorporating mediating and threshold effects with the panel data of 285 prefecture-level cities from 2009 to 2019. The results showed a higher co-agglomeration level significantly increased environmental pollution. The transmission and upgrading from secondary to tertiary industries exhibited a remarkable intermediary role, yet the credit scale formed a nonlinear threshold effect. Both industrial structure optimization and credit scale expansion contributed to environmental protection. Nevertheless, the path of "industrial co-agglomeration → technological progress → environmental protection" was not obvious, and the positive externalities of technology need to be strengthened. These findings provide viable insights for the implementation of financial and manufacturing integration and green development.


Assuntos
Poluição Ambiental , Indústrias , Cidades , China , Comércio
6.
J Environ Manage ; 325(Pt A): 116471, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36244290

RESUMO

Identifying key drivers of manufacturing CO2 emissions is critical to carbon reduction practices. For manufacturing, CO2 emissions are mainly determined by production capacity and production scale. However, traditional production-theoretical decomposition analysis (PDA) fails to consider production-scale-related drivers. To better support policy development and implementation, this paper improves PDA based on industrial linkage theory. The improved model can identify seven production-capacity-related drivers and five production-scale-related drivers, allowing a comprehensive understanding of CO2 emission drivers. Then this model is implemented to investigate CO2 emission changes in 18 manufacturing sectors in Hubei Province, China, from 2012 to 2017. Results show that manufacturing CO2 reduction efforts in Hubei Province have yielded some achievements, with reduced potential energy intensity and improved CO2 emission technical efficiency in most sectors. Changes in external market demand and final demand structure have contributed to CO2 reduction in most sectors. Results also reveal some problems in manufacturing in Hubei Province, such as the inability to improve CO2 emission technical efficiency and CO2 emission technology strength, the slow improvement of energy utilization technical efficiency and energy utilization technology strength, and the reduction of value-added rate.


Assuntos
Dióxido de Carbono , Indústrias , Dióxido de Carbono/análise , Comércio , Carbono/análise , Tecnologia , China , Desenvolvimento Econômico
7.
J Environ Manage ; 325(Pt A): 116492, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36265235

RESUMO

This paper is to test the relationship between temperature change and industrial green innovation by combing data of China's average temperature change in cities with green patent database of listed companies.First, the results find that rising annual average temperature can inhibit green innovation. For every 1 °C increases in summer, green innovation reduces by 3.2%, and for every 1 °C increases in winter, green innovation increases by 1.9%. Second, rising summer temperature inhibits green innovation by crowding out research and development (R&D) funds and draining labor. While, rising temperature increases green innovation by increasing environmental responsibility and green venture capital. Third, differences in green R&D difficulty, process and objectives were also compared, temperature change has a stronger inhibition on green process innovation than green product innovation. And rising temperature inhibits green exploratory innovation and promotes green developmental innovation. Fourth, rising temperature increases green innovation in polluting firms as temperature is higher than 21 °C. And it inhibits green innovation in clean firms as temperature is higher than 27 °C. This paper can provide policy implications on climate regulation and promoting green innovation.


Assuntos
Indústrias , Invenções , Temperatura , Cidades , China
8.
J Environ Manage ; 325(Pt A): 116393, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36270126

RESUMO

Brownfield redevelopment is a complex process often involving a wide range of stakeholders holding differing priorities and opinions. The use of digital systems and products for decision making, modelling, and supporting discussion has been recognised throughout literature and industry. The inclusion of stakeholder preferences is an important consideration in the design and development of impactful digital tools and decision support systems. In this study, we present findings from stakeholder consultation with professionals from the UK brownfield sector with the aim of informing the design of future digital tools and systems. Our research investigates two broad themes; digitalisation and the use of digital tools across the sector; and perceptions of key brownfield challenge areas where digital tools could help better inform decision-makers. The methodology employed for this study comprises the collection of data and information using a combination of interviews and an online questionnaire. The results from these methods were evaluated both qualitatively and quantitatively. Findings reveal a disparity in levels of digital capability between stakeholder groups including between technical stakeholder types, and that cross-discipline communication of important issues may be aided by the development of carefully designed digital tools. To this end, we present seven core principles to guide the design and implementation of future digital tools for the brownfield sector. These principles are that future digital tools should be: (1) Stakeholder driven, (2) Problem centred, (3) Visual, (4) Intuitive, (5) Interactive, (6) Interoperable, and (7) Geospatial data driven.


Assuntos
Comunicação , Indústrias
9.
J Environ Manage ; 325(Pt A): 116504, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36272290

RESUMO

The digital economy has demonstrated strong resilience and great potential, under the interwoven influence of the global pandemic and severe environmental concerns across the world. Therefore, there is a need to focus on the value of green economic growth in the digital economy. This paper constructs an evaluation index system and adopts the SEEA (System of Environmental and Economic Accounting) method to measure the digitalization level (Digi) and green economy growth level (GEG) of China. The internal mechanism and linear relationship between digitalization and green economy growth are examined based on the panel data from 2013 to 2019. Moreover, this study explores the spatial spillover effect. The major study findings are as follows: (1) Digitalization and green economy growth represent a steady growth trend, and the former as a whole significantly promotes the latter, with a marginal effect of 1.648. (2) The mechanism analysis indicates the intermediary effects' size of three crucial intermediaries: green technology innovation > advanced industrial structure > the rationalization of industrial structure. (3) Both the "local effect" (0.556; 0.574) and "neighboring effect" (1.382; 1.415) of digitalization on green economy growth are positive under the two weight matrices and display "simultaneous resonance" characteristics based on the spatial perspective. (4) There exists obvious regional spatial heterogeneity and resource endowment heterogeneity. Finally, this study put forward corresponding policy implications, such as construction of new digital infrastructures and guiding green-energy consumption.


Assuntos
Desenvolvimento Econômico , Indústrias , Invenções , China
10.
J Environ Manage ; 325(Pt A): 116518, 2023 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-36274302

RESUMO

Many countries have formulated strict environmental regulation policies, but unfortunately, environmental pollution is still severe. We believe that this phenomenon may result from institutional factors. We study whether local government competition affects the dependence on polluting industries and test it with the transaction data of China's land market. We find that the decline in the economic ranking of cities increases the scale of land transferred to polluting industries, and the more the ranking decline, the larger the scale of land in polluting industries. Besides, we analyze the impact of the first decline in the urban economic ranking, finding that the land transfer scale of polluting industries exhibits a trend of slowing down after a rapid rise in the short term. Heterogeneity analysis shows that officials with lower education levels and before-retirement age will dependent more on polluting industries to a greater extent when they face local government competition, and cities with economic growth lower than the national average will increase their dependence on polluting industries to a greater extent. This paper provides new insights into the causes of the environmental governance dilemma, which also highlights the need to weaken economic indicators and strengthen environmental indicators in government performance assessment.


Assuntos
Conservação dos Recursos Naturais , Política Ambiental , Governo Local , Indústrias , Poluição Ambiental , Desenvolvimento Econômico , China
11.
Sci Total Environ ; 856(Pt 2): 158971, 2023 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-36162569

RESUMO

In this paper, we propose the concept of carbon unlocking efficiency based on carbon lock-in. Supported by the "Techno-Institutional Complex" theory, we measure the industrial carbon unlocking efficiency (ICUE) of 30 Chinese provinces and analyze its spatial and temporal jump probabilities through spatial Markov chains, and finally identify and discuss the influencing factors through the GTWR model. We found that the ICUE of each province in China follows a decreasing distribution from east to central to west, with Shanghai, Beijing, and Guangdong having the highest ICUEs among all provinces and cities; although the overall ICUE converges to a higher level in the long run, there is still a certain predatory effect of developed regions on less developed regions in the short term, and the intensification of market competition may adversely affect the growth of ICUE in the lagging regions. The results of GTWR show that factors such as energy use efficiency, FDI, and industrial enterprise size mainly promote ICUE growth, and energy structure mainly shows negative effects on ICUE of each province, while factors such as economic efficiency, R&D intensity, ownership structure, marketization level, share of high-tech industries, and industrial upgrading show obvious spatial heterogeneity, and different regions need to adopt different policy instruments for their strengths and weaknesses. These research results have important policy guidance implications for accelerating the process of industrial carbon unlocking in each region.


Assuntos
Carbono , Desenvolvimento Econômico , Carbono/análise , China , Indústrias , Eficiência
12.
Sci Total Environ ; 857(Pt 2): 159428, 2023 Jan 20.
Artigo em Inglês | MEDLINE | ID: mdl-36244487

RESUMO

To date, digital economy has become an emerging driving force of economic growth in various countries. To further explore the green value of digital economy, full array polygon graphic index method and Global Malmquist productivity index are used to evaluate China's digital economy development and green total factor productivity respectively. Based on a comprehensive explanation of the influence mechanism, spatial econometric model and intermediary effect model are constructed to test the spatial spillover effect and transmission mechanism between digital economy and green total factor productivity. The results show that digital economy has a positive direct impact and spatial spillover effect on green total factor productivity with the significant U-shaped characteristics, and these effects mainly come from the promotion of green technology progress by digital economy. Industrial structure upgrading and factor market distortion respectively account for 22 % and 5.875 % of the impact of digital economy on green total factor efficiency, which means that they are the two primary channels for digital economy to influence green total factor productivity. Results of heterogeneity analysis show that digital economy is the key factor for resource-based cities to break the "resource curse", but the unbalanced development of digital economy leads to the "digital gap" between the central and peripheral cities.


Assuntos
Desenvolvimento Econômico , Eficiência , Indústrias , Cidades , China
13.
J Hazard Mater ; 443(Pt B): 130307, 2023 Feb 05.
Artigo em Inglês | MEDLINE | ID: mdl-36444050

RESUMO

Per- and poly-fluoroalkyl substances (PFAS) are a group of manmade compounds produced since the 1950 s and used in a range of industrial processes and consumer products. In Australia, PFAS serum concentrations have been measured in the general population since 2002. However, few studies have retrospectively measured PFAS concentrations in serum samples representative of a general population prior to 2000, none of which have been conducted in Australia. To understand the general population's exposure to PFAS prior to 2002, longitudinal PFAS serum concentration measurements are required. In the current study, we accessed 'The Busselton Health Study Data Bank' to analyse archived serum samples for PFAS. Repeat serum samples collected in 1975, 1981 and 1995 were obtained from 17 participants. Of the 35 PFAS analysed, 13 PFAS were detected in the serum samples collected in 1975. Both the detection frequency and ∑PFAS serum concentrations increased between 1975 and 1995. Median ∑PFAS serum concentration increased over 7-fold; from 3.3 ng/mL in 1975-26 ng/mL in 1995. The increase in serum concentrations reflects the global production history of these PFAS during this period in time.


Assuntos
Fluorcarbonetos , Humanos , Estudos Retrospectivos , Austrália , Indústrias
14.
PLoS One ; 17(11): e0276300, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36327257

RESUMO

This study uses an input-output model to analyze the wastewater, waste gas, and solid waste emissions in Guangdong's industrial exports from 2004 to 2015; the Logarithmic Mean Divisia Index (LMDI) is used to analyze the factors influencing such pollution. The results reveal that embodied emissions of waste gas and solid waste in Guangdong's export trade are increasing, while the increase in wastewater emissions is not apparent. The Logarithmic Mean Divisia Index (LMDI) is used to analyze the influencing factors of pollution, specifically, the structural, scale, and technical effects. We discovered that emissions of the top five industries account for about 80% of total emissions and the wastewater emissions' technical effect has more impact; however, it is difficult for this technical effect in terms of embodied waste gas and solid waste to offset the scale and structural effects' impacts. Moreover, the trends and factors influencing various industries' pollution emissions differ. This study proposes that when the government carries out environmental pollution control measures, they should consider the embodied pollution caused by products from foreign trade and focus on treating industries with severe pollution. Simultaneously, the pollution controlling measures of different industries should also vary.


Assuntos
Carbono , Águas Residuárias , Carbono/análise , Resíduos Sólidos , Indústrias , China , Dióxido de Carbono/análise
15.
PLoS One ; 17(11): e0277259, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36331964

RESUMO

According to the standard of GB/T4754-2017 Classification of National Economic Industry and the characteristics of the textile and apparel industry, the textile and apparel industry is divided into three categories: textile industry, clothing industry and chemical fiber manufacturing industry. Based on the panel data of the textile and apparel industry from 2010 to 2019, this paper measures green total factor productivity (GTFP) by using the unexpected output super efficiency SBM model and the ML index. On this basis, this paper empirically tests the impact of digital economy on the GTFP of textile and apparel industry, and the dual intermediary effects of rationalization of industrial structure and advanced industrial structure are discussed. The results show that: (1) The GTFP of the textile and apparel industry shows a fluctuating upward trend, but it is in a state of low growth. (2) Digital economy has a significant effect on promoting the GTFP. Among them, it has a positive effect on the improvement of GTFP in textile industry, but has no obvious effect on the clothing industry, and has a restraining effect on the chemical fiber manufacturing industry. (3) In the process of the impact of digital economy on GTFP, the rationalization of industrial structure has a partial intermediary effect, and the level of effect reaches 35.81%, while the advancement of industrial structure does not necessarily have a "structural dividend", and its influence on GTFP is non-linear. This paper enriches the research on the influencing factors of GTFP, and is also an effective supplement to the research on digital economy. The conclusions provide a reliable empirical basis for digital economy to help the textile and apparel industry pollution control, and also provide policy references for giving full play to the green value of digital economy.


Assuntos
Eficiência , Indústrias , Desenvolvimento Econômico , Indústria Manufatureira , Têxteis , China
16.
Front Public Health ; 10: 858512, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36339148

RESUMO

Background: Oil is the mainstay revenue for a number of African countries. However, extraction can result in multiple impacts on the health and wellbeing of communities living in oil-rich areas. This review explored evidence of oil industry-related social exclusion on community health and wellbeing on the African continent. Methods: We used a systematic approach guided by PRISMA to search six databases for empirical and descriptive sources focused on oil industry impacts, in any African country, between 1960 to 2021. Findings were grouped according to four dimensions of the Social Exclusion Knowledge Network (SEKN) framework: political, social, economic, and cultural. Results: Fifteen articles were identified, of which 13 articles focused on Nigeria; while one focused on Sudan, and one on Côte d'Ivoire and South Africa. Evidence relating to political aspects of social exclusion encompassed marginalization of indigenous communities through land grabs and unequal representation in political decision making. Limited compensation for environmental damage and livelihood displacement caused by oil-extraction, and high rates of unemployment and poverty were key themes of the economic dimension. Evidence of social impacts included lack of government, or oil-industry investment in social infrastructure; poor health and wellbeing linked to land, air, and water pollution; homelessness and lack of social cohesion. The cultural dimension of social exclusion was comparatively underexplored and only six sources included data collection with indigenous residents, and comparatively more sources were written by non-citizens or non-residents of oil-industry affected areas. Major themes included impacts on collective identity, ways of life and values, particularly where loss of ownership or access to land was experienced. Conclusion: Oil industry activities in African countries are clearly associated with multiple exclusionary impacts. However, the narrow body of empirical research limits understanding of the lived experiences and management of social exclusion by residents of oil-rich areas themselves and is an area deserving of further attention.


Assuntos
Indústrias , Isolamento Social , Pobreza , África do Sul
17.
Nat Commun ; 13(1): 7202, 2022 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-36418337

RESUMO

Biogenic volatile organic compounds (BVOCs) affect climate via changes to aerosols, aerosol-cloud interactions (ACI), ozone and methane. BVOCs exhibit dependence on climate (causing a feedback) and land use but there remains uncertainty in their net climatic impact. One factor is the description of BVOC chemistry. Here, using the earth-system model UKESM1, we quantify chemistry's influence by comparing the response to doubling BVOC emissions in the pre-industrial with standard and state-of-science chemistry. The net forcing (feedback) is positive: ozone and methane increases and ACI changes outweigh enhanced aerosol scattering. Contrary to prior studies, the ACI response is driven by cloud droplet number concentration (CDNC) reductions from suppression of gas-phase SO2 oxidation. With state-of-science chemistry the feedback is 43% smaller as lower oxidant depletion yields smaller methane increases and CDNC decreases. This illustrates chemistry's significant influence on BVOC's climatic impact and the more complex pathways by which BVOCs influence climate than currently recognised.


Assuntos
Ozônio , Compostos Orgânicos Voláteis , Planeta Terra , Indústrias , Metano , Oxidantes
18.
Sci Rep ; 12(1): 20094, 2022 Nov 22.
Artigo em Inglês | MEDLINE | ID: mdl-36418463

RESUMO

Understanding the externalities of transportation networks in the process of the agglomeration and diffusion of production factors has theoretical and practical significance for the coordinated development of China's economic growth in urban agglomerations. Therefore, the social network analysis method is introduced in this paper with the case of the Pan Pearl River Delta Urban Agglomeration to analyze the characteristics of the traffic connection network of the production factor flow within this urban agglomeration, and subsequently, an econometric panel model is adopted to quantitatively analyze the effect of the connection network on the economic growth of the urban agglomeration. The results show that (1) the traffic connection of the Pan Pearl River Delta Urban Agglomeration has network characteristics typical of a "small world". Although the connections between cities are gradually strengthening, the regional differences are obvious, showing a core-edge pattern of eastern agglomeration and western sparseness. (2) Among the network nodes, Guangzhou, Shenzhen and other cities have obvious agglomeration and diffusion effects, stabilizing economic growth while driving the development of surrounding cities. The "polarization effect" in Chongqing and Chengdu has significantly increased, and the accumulation of factors mainly meets their own economic development but has not yet spread. (3) The Pan Pearl River Delta Urban Agglomeration's transportation network influences the region's economic growth through the structural effect, as it strengthens the economic ties between cities, and through the action of resource factors, as the network represents the aggregation and diffusion path of factor flow. (4) Due to the different traffic connections and industrial structures across the Pan Pearl River Delta Urban Agglomeration, the factor flow of each suburban agglomeration has a differentiated impact on the regional economic growth under the traffic connection network. Therefore, to realize the coordinated economic development of the Pan Pearl River Delta Urban Agglomeration, it is necessary to "adjust measures to local conditions" and formulate accurate and precise policies.


Assuntos
Desenvolvimento Econômico , Meios de Transporte , Cidades , Indústrias , Políticas
19.
Sci Rep ; 12(1): 20210, 2022 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-36418501

RESUMO

The edge computing paradigm has recently drawn significant attention from industry and academia. Due to the advantages in quality-of-service metrics, namely, latency, bandwidth, energy efficiency, privacy, and security, deploying artificial intelligence (AI) models at the network edge has attracted widespread interest. Edge-AI has seen applications in diverse domains that involve large amounts of data. However, poor dataset quality plagues this compute regime owing to numerous data corruption sources, including missing data. As such systems are increasingly being deployed in mission-critical applications, mitigating the effects of corrupted data becomes important. In this work, we propose a strategy based on data imputation using neural inversion, DINI. It trains a surrogate model and runs data imputation in an interleaved fashion. Unlike previous works, DINI is a model-agnostic framework applicable to diverse deep learning architectures. DINI outperforms state-of-the-art methods by at least 10.7% in average imputation error. Applying DINI to mission-critical applications can increase prediction accuracy to up to 99% (F1 score of 0.99), resulting in significant gains compared to baseline methods.


Assuntos
Inteligência Artificial , Benchmarking , Humanos , Inversão Cromossômica , Indústrias , Privacidade
20.
Sci Rep ; 12(1): 20222, 2022 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-36418870

RESUMO

The exceptional survival of Middle Pleistocene wooden spears at Schöningen (Germany) and Clacton-on-Sea (UK) provides tantalizing evidence for the widespread use of organic raw materials by early humans. At Clacton, less well-known organic artefacts include modified bones that were identified by the Abbé Henri Breuil in the 1920s. Some of these pieces were described and figured by Hazzledine Warren in his classic 1951 paper on the flint industry from the Clacton Channel, but they have been either overlooked in subsequent studies or dismissed as the product of natural damage. We provide the first detailed analysis of two Clactonian bone tools found by Warren and a previously unrecognized example recovered in 1934 during excavations directed by Mary Leakey. Microscopic examination of percussion damage suggests the bones were used as knapping hammers to shape or resharpen flake tools. Early Palaeolithic bone tools are exceedingly rare, and the Clacton examples are the earliest known organic knapping hammers associated with a core-and-flake (Mode 1) lithic technology. The use of soft hammers for knapping challenges the consensus that Clactonian flintknapping was undertaken solely with hard hammerstones, thus removing a major technological and behavioural difference used to distinguish the Clactonian from late Acheulean handaxe (Mode 2) industries.


Assuntos
Indústrias , Tecnologia , Humanos , Percussão , Artefatos , Reino Unido
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