3D genome organization and its study in livestock breeding

Eukaryotic genomes are hierarchically packaged into cell nucleus,affecting gene regulation.The genome is organized into multiscale structural units,including chromosome territories,compartments,topologically associating domains(TADs),and DNA loops.The identification of these hierarchical structures has benefited from the development of experimental approaches,such as 3C-based methods(Hi-C,ChIA-PET,etc.),imaging tools(2D-FISH,3D-FISH,Cryo-FISH,etc.)and ligation-free methods(GAM,SPRITE,etc.).In recent two decades,numerous studies have shown that the 3D organization of genome plays essential roles in multiple cellular processes via various mechanisms,such as regulating enhancer activity and promoter-enhancer interactions.However,there are relatively few studies about the 3D genome in livestock species.Therefore,studies for exploring the function of 3D genomes in livestock are urgently needed to provide a more comprehensive understanding of potential relationships between the genome and production traits.In this review,we summarize the recent advances of 3D genomics and its biological functions in human and mouse studies,drawing inspiration to explore the 3D genomics of livestock species.We then mainly focus on the biological functions of 3D genome organization in muscle development and its implications in animal breeding.

Exploration of the coupled lattice Boltzmann model based on a multiphase field model:A study of the solid-liquid-gas interaction mechanism in the solidification process

A multiphase field model coupled with a lattice Boltzmann(PF-LBM)model is proposed to simulate the distribution mechanism of bubbles and solutes at the solid-liquid interface,the interaction between dendrites and bubbles,and the effects of different temperatures,anisotropic strengths and tilting angles on the solidified organization of the SCN-0.24wt.%butanedinitrile alloy during the solidification process.The model adopts a multiphase field model to simulate the growth of dendrites,calculates the growth motions of dendrites based on the interfacial solute equilibrium;and adopts a lattice Boltzmann model(LBM)based on the Shan-Chen multiphase flow to simulate the growth and motions of bubbles in the liquid phase,which includes the interaction between solid-liquid-gas phases.The simulation results show that during the directional growth of columnar dendrites,bubbles first precipitate out slowly at the very bottom of the dendrites,and then rise up due to the different solid-liquid densities and pressure differences.The bubbles will interact with the dendrite in the process of flow migration,such as extrusion,overflow,fusion and disappearance.In the case of wide gaps in the dendrite channels,bubbles will fuse to form larger irregular bubbles,and in the case of dense channels,bubbles will deform due to the extrusion of dendrites.In the simulated region,as the dendrites converge and diverge,the bubbles precipitate out of the dendrites by compression and diffusion,which also causes physical phenomena such as fusion and spillage of the bubbles.These results reveal the physical mechanisms of bubble nucleation,growth and kinematic evolution during solidification and interaction with dendrite growth.

Multiscale Characteristics and Connection Mechanisms of Attraction Networks:A Trajectory Data Mining Approach Leveraging Geotagged Data

Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism,so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning.This paper uses geotagging data to compare the links between attractions in Beijing,China during four different periods:the pre-Olympic period(2004–2007),the Olympic Games and subsequent‘heat period’(2008–2013),the post-Olympic period(2014–2019),and the COVID-19(Corona Virus Disease 2019)pandemic period(2020–2021).The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination.The results show that the macro,meso-,and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonalities and differences in the development process of tourism networks.The macroscale attraction network degree Matthew effect is significant in the four different periods and exhibits a morphological monocentric structure,suggesting that new entrants are more likely to be associated with attractions that already have high value.The mesoscale links attractions according to the common purpose of tourists,and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional polycentric structure describes their clustering effect,and the weak links between clusters result from attractions bound by incomplete information and distance,and the functional polycentric structure with a generally more efficient network of clusters.The pattern structure at the microscale reveals the topological transformation relationship of the regional collaboration pattern,and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism,which aids in understanding the attraction network pattern at both macro and micro scales.Important approaches and practical implications for planners and managers are presented.

Research on the origin and evolution of technical management regulations for railway

Purpose–To facilitate technical managers and field workers to master and understand the provisions of Technical Management Regulations for Railway more accurately,so as to better serve the comprehensive revision of the Regulations,this paper carries out the research on the traceability and evolution of the provisions of the Regulations.Design/methodology/approach–This paper studies and analyzes the evolution of the 11th edition of the Regulations by analyzing the relevance of clauses and summarizes the historical background of the development of calendar editions of the Regulations.The basic research on the traceability and evolution of the Regulations is carried out from four aspects:the continuity of the development of the Regulations,the authority of contents,the relevance of clauses and the richness of historical materials.Findings–From the first edition of the Regulations issued by the former Ministry of Railways in 1950 to the 11th edition,there have been ten comprehensive revisions.There is a strong correlation and continuity between the calendar editions of the Regulations in terms of chapter structure and clauses.Studying the context of the terms of the Regulations is an important way to understand and master the current clauses of the Regulations.Originality/value–Through the research on the traceability and evolution of the clauses of the Regulations,one is to explore the context of the development of railway technical equipment in China,the other is to clarify the historical background when the provisions were formulated and the third is to trace the development and evolution of the provisions.The revision of the Regulations is based on an accurate grasp of the context of the provisions,which can effectively judge the possible security risks caused by the revision of the provisions and avoid the possible risks in field implementation from the source.

An Innovative Person-Centered Model for Provision of Mental, Social and Medical Care for People Living with Dementia

Globally there is an increased digitalization going on with an increasing number of people having access to the internet, having smartphones and now also in many countries being expected to access health-related information and schedule appointments through websites, apps or web-based portals. Healthcare providers have also adopted this with an increasing number of public or private organizations providing web-based portals as well as app interfaces to some of the largest electronic healthcare systems. The benefit of this is easier access, more efficient provision of services, increased transparency and improved workflows. This may increase the population’s capability to manage their conditions and reduce the contacts to, thereby burdening healthcare professionals. But not all will be able to benefit from this digital (r)evolution. Those who will not be able to include people with dementia. For people with dementia to also be able to take advantage of digital health tools and services, it will require planning and involvement of caregivers. In 2017, we presented the Epital Care Model as a framework to organize an efficient people-centered cross-disciplinary and cross-sectoral way to organize activities, roles, responsibilities and describe geographical locations and used technologies in response to individuals’ specific diagnoses and everyday changes in their condition. In 2021, an EU-funded project was initiated to investigate how living labs and scaling up could be done building upon the ECM. One of the living labs was organized around an organization providing care to PWD in Netherlands. In the period 2021 to 2024, we have tried to identify ways for how the ECM could be used to digitally enable the services provided by the organization. In 2022, the care organization tanteLouise started a project originally named Daycare Centre2.0 (now called “Van Thuis Uit” meaning “From Home”), together with healthcare insurance company CZ, and developed a model for onboarding people with dementia and introducing them to specific interventions based on their personal goals and needs. We here present how the ECM and the “Van Thuis Uit” can be mapped within each other to create synergy in creating a healthcare setting for people with dementia. This work may serve as a model for other conditions, where individuals are likely to need more intensive support from their informal caregivers due to a relatively rapid progression of the condition or development of severe impairments. Examples here can be neurologic conditions such as multiple sclerosis and amyotrophic lateral sclerosis or the final stage of conditions that require palliation.

Industrial Organization in the Digital Economy Era:Evolution and Effects

Advances in digital technology and vast data applications have resulted in the emergence of the digital economy paradigm,which is a new techno-economic paradigm for the digital economy age.Under this paradigm,the industrial organization has shifted toward networked,platform-based,boundaryless,and integrated development with new characteristics.Specifically,there has been a fierce“positional arms race”fueled by financial capital,accelerating the growth of platform companies.The“hierarchical monopolistic competition”market structure has taken shape,resulting in a“coexistence without disruption”monopolistic competition.As platform businesses expand into new business sectors,competition among industrial ecosystems intensifies.Data and algorithms have become secret weapons for corporate success,allowing platform companies to expand their monopolistic forces.Industrial organization in the digital era has revolutionized the operating rules and logic of industrial economy,giving rise to new industries,business models,and paradigms,as well as being conducive to international cooperation and intelligent regulation.Meanwhile,it has introduced new challenges to socioeconomic development,making platform companies’anti-competitive and monopolistic behaviors more implicit,privacy and security concerns more conspicuous,and antitrust identification and investigation more difficult.The government should embrace the evolving trends of industrial organization in the digital economy era,accelerate regulatory transition,and strengthen governance and regulation under the digital economy paradigm.

Classificatory updates in verrucous and cuniculatum carcinomas:Insights from the 5^(th) edition of WHO-IARC head and neck tumor classification

The International Agency for Research on Cancer(IARC)and World Health Organization(WHO)collaboratively produce the'WHO Blue Books'essential tools standardizing the diagnostic process for human cancers.Regular updates in this classification accommodate emerging molecular discoveries,advances in immunohistochemical techniques,and evolving clinical insights.The 5th edition of the WHO/IARC classification of head and neck tumors refines the'Oral Cavity and Mobile Tongue'chapter,including sections for non-neoplastic lesions,epithelial tumors,and tumors of uncertain histogenesis.Notably,the epithelial tumors section is rearranged by tumor behavior,starting with benign squamous papillomas and progressing through potentially malignant oral disorders to oral squamous cell carcinoma(OSCC).The section on OSCC reflects recent information on epidemiology,pathogenesis,and histological prognostic factors.Noteworthy is the specific categorization of verrucous carcinoma(VC)and carcinoma cuniculatum(CC),both associated with the oral cavity and distinct in clinical and histologic characteristics.This classification adjustment emphasizes the oral cavity as their predominant site in the head and neck.Designating specific sections for VC and CC aims to provide comprehensive insights into these unique subtypes,elucidating their clinical features,distinct histological characteristics,prevalence,significance,and clinical relevance.By categorizing these subtypes into specific sections,the 5th edition of the WHO classification aims to provide a more nuanced and detailed account,enhancing our understanding of these specific variants within the broader spectrum of head and neck tumors.

Auxiliary Software for Defining the Parameters of the Structural Organization of a Complex System

The developed auxiliary software serves to simplify, standardize and facilitate the software loading of the structural organization of a complex technological system, as well as its further manipulation within the process of solving the considered technological system. Its help can be especially useful in the case of a complex structural organization of a technological system with a large number of different functional elements grouped into several technological subsystems. This paper presents the results of its application for a special complex technological system related to the reference steam block for the combined production of heat and electricity.

An Exploration of Organizational Development in the Process of Innovation and Transformation of Pharmaceutical Enterprises-Taking X Pharmaceutical Enterprise as an Example

Objective To study how to promote the smooth innovation and transformation of enterprises and enhance the market competitiveness of enterprises from the perspective of human resources organization development.In the wave of pharmaceutical industry reform,some entrepreneurs realize the importance of innovation and technology in the future.However,domestic pharmaceutical enterprises are still in the production-oriented stage.In the process of transformative innovation,pharmaceutical enterprises should not only rely on the support of scientific and technological and economic forces,but also need a suitable organizational change and many excellent talents as the source of development.Methods Through retrieving relevant literature and combined with the organizational development practice of X pharmaceutical enterprise,the organizational development model was explored in this paper.Results and Conclusion By forming a system of strategy,organization,talent,culture and mechanism,and building an organizational development model,we can improve the organizational atmosphere and organizational efficiency in the process of enterprise innovation and transformation,so as to enhance the competitiveness of enterprises in the market.

Applying the Technology Acceptance Model (TAM) in Information Technology System to Evaluate the Adoption of Decision Support System

With the beginning of the information systems’ spreading, people started thinking about using them for making business decisions. Computer technology solutions, such as the Decision Support System, make the decision-making process less complex and simpler for problem-solving. In order to make a high-quality business decision, managers need to have a great deal of appropriate information. Nonetheless, this complicates the process of making appropriate decisions. In a situation like that, the possibility of using DSS is quite logical. The aim of this paper is to find out the intended use of DSS for medium and large business organizations in USA by applying the Technology Acceptance Model (TAM). Different models were developed in order to understand and predict the use of information systems, but the information systems community mostly used TAM to ensure this issue. The purpose of the research model is to determine the elements of analysis that contribute to these results. The sample for the research consisted of the target group that was supposed to have completed an online questionnaire about the manager’s use of DSS in medium and large American companies. The information obtained from the questionnaires was analyzed through the SPSS statistical software. The research has indicated that, this is primarily used due to a significant level of Perceived usefulness and For the Perceived ease of use.

A Semantic-Sensitive Approach to Indoor and Outdoor 3D Data Organization

Building model data organization is often programmed to solve a specific problem,resulting in the inability to organize indoor and outdoor 3D scenes in an integrated manner.In this paper,existing building spatial data models are studied,and the characteristics of building information modeling standards(IFC),city geographic modeling language(CityGML),indoor modeling language(IndoorGML),and other models are compared and analyzed.CityGML and IndoorGML models face challenges in satisfying diverse application scenarios and requirements due to limitations in their expression capabilities.It is proposed to combine the semantic information of the model objects to effectively partition and organize the indoor and outdoor spatial 3D model data and to construct the indoor and outdoor data organization mechanism of“chunk-layer-subobject-entrances-area-detail object.”This method is verified by proposing a 3D data organization method for indoor and outdoor space and constructing a 3D visualization system based on it.

Exploration of Construction Organization for Maintenance of Steam Turbine Equipment in Thermal Power Plants

The continuous development of the power industry has had a positive impact on thermal power plants,helping them maintain a good production form.In the use of steam turbine equipment in thermal power plants,to prolong its lifespan and avoid safety hazards,it is necessary to pay attention to strengthening maintenance and construction organization,better implementing effective organizational work,and effectively applying steam turbine equipment to ensure the sustainable development of thermal power plants.This article discusses the concept of equipment maintenance from the perspective of steam turbine equipment in thermal power plants,analyzes the current situation of equipment maintenance,and proposes a specific construction organization to provide a reference for steam turbine equipment maintenance.

DAO to HANOI via DeSci: AI Paradigm Shifts from AlphaGo to ChatGPT

From AlphaGo to ChatGPT,the field of AI has launched a series of remarkable achievements in recent years.Analyzing,comparing,and summarizing these achievements at the paradigm level is important for future AI innovation,but has not received sufficient attention.In this paper,we give an overview and perspective on machine learning paradigms.First,we propose a paradigm taxonomy with three levels and seven dimensions from a knowledge perspective.Accordingly,we give an overview on three basic and twelve extended learning paradigms,such as Ensemble Learning,Transfer Learning,etc.,with figures in unified style.We further analyze three advanced paradigms,i.e.,AlphaGo,AlphaFold and ChatGPT.Second,to enable more efficient and effective scientific discovery,we propose to build a new ecosystem that drives AI paradigm shifts through the decentralized science(DeSci)movement based on decentralized autonomous organization(DAO).To this end,we design the Hanoi framework,which integrates human factors,parallel intelligence based on a combination of artificial systems and the natural world,and the DAO to inspire AI innovations.

疾病预防控制机构深化党建带群建工作的理论基础与实践例证

习近平新时代中国特色社会主义思想实现了马克思主义中国化时代化新的飞跃。其中,党的群团工作百年经验开创了中国特色社会主义群团发展道路,推动了马克思主义群团观的中国化时代化进程。研究基于马克思主义的理论与实践辩证统一关系,以党的群团工作百年经验为理论基础,指引形成疾病预防控制机构深化党建带群建工作的实践思路与内容:聚焦“制度建设”,加强党的群团工作制度化、规范化;聚焦“人才队伍与组织架构建设”,夯实党的群团工作组织基础;聚焦“能力提升”,提升党的群团工作服务能力和水平。最终,在党建带群建工作的计划性与连续性、群团组织内部工作的整体性与联动性、党建带群建工作的服务意识和实践能力等方面取得显著的实践成效。

A review of science–policy interface for water governance in the Caspian Sea

Science and policy have been interlinked for decades and perform essential nexus conditions in the governing aspects of environmental scenarios.This review paper examines the present challenges in the science–policy interface in terms of water governance in the Caspian Sea and identifies effective conditions that may be used in the current context to enhance the mechanism.The evaluation of the science–policy link in the water policy of the Caspian Sea reveals a gap between knowledge producer and governance system,impeding the translation of scientific information into action.Complicated and context-dependent solutions make it challenging to establish effective science–policy processes in the Caspian Sea water governance settings.Establishing a common governing authority,implementing water and resource management regulations,and protecting the natural environment through legal frameworks are crucial steps to address these concerns and ensure sustainable development.Collaboration among coastal states is essential in environmental,economic,and social aspects of regional development.However,the lack of a comprehensive approach,coherent activities,and effective utilization of national and regional power has hindered efforts to halt the environmental degradation of the Caspian Sea.Local governments need to recognize their responsibility to protect and utilize the Caspian Sea for present and future generations,considering both environmental and human security.The interlinkage of the Caspian Sea water governance with the Organization for Economic Co-operation and Development(OECD)water governance principles offers a framework for policymakers to assess gaps and make necessary amendments to existing mechanisms.Effective science–policy interaction,engagement of diverse stakeholders,institutionalizing agreements,and addressing collective action issues are critical for successful water governance.

Digital Innovation:Organizational Foundation and Chinese Heterogeneity

The advancement of digital innovation requires a distinctive organizational structure,different from those for non-digital innovation.The research literature,however,has confused appropriate forms of organization for digital innovation with those for non-digital innovation.Organizational heterogeneity,which is often overlooked in research on digital innovation,determines a country’s core digital competencies.From a holistic perspective of corporate organization,industrial organization and innovation system,this study has identified the unique organizational structure for digital innovation in China by comparing organizational structures for digital and non-digital innovations.In terms of corporate organization,Chinese companies have intensified internal competition and cooperation to incentivize digital innovation in areas with mid-and short-term goals of profitability.In terms of industrial organization,multi-platform enterprises and diverse use cases may enhance economies of range and multi-path exploration of digital innovation.In terms of innovation system,administrative intervention in specific domains of the digital economy may help to shape expectations of innovation entities and coordinate their behaviors.

Investigation of the Severity of Modular Construction Adoption Barriers with Large-Scale Group Decision Making in an Organization from Internal and External Stakeholder Perspectives

Modular construction as an innovativemethod aids the construction industry in transforming to off-site construction production with high efficiency and environmental friendliness.Despite the obvious advantages,the uptake of modular construction is not booming as expected.However,previous studies have investigated and summarized the barriers to the adoption ofmodular construction.In this research,a Large-ScaleGroupDecisionMaking(LSGDM)-based analysis is first made of the severity of barriers to modular construction adoption from the perspective of construction stakeholders.In addition,the Technology-Organization-Environment(TOE)framework is utilized to identify the barriers based on three contexts(technology,organization,and environment).The Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)and LSGDM models are both implemented for the first time to analyze the severity of the barriers to modular adoption based on questionnaire results from internal and external stakeholders in an organization.Finally,in this research,in-depth insights into the severity of barriers are gained,providing a reference for construction organizations to manage modular adoption.

Automated File Labeling for Heterogeneous Files Organization Using Machine Learning

File labeling techniques have a long history in analyzing the anthological trends in computational linguistics.The situation becomes worse in the case of files downloaded into systems from the Internet.Currently,most users either have to change file names manually or leave a meaningless name of the files,which increases the time to search required files and results in redundancy and duplications of user files.Currently,no significant work is done on automated file labeling during the organization of heterogeneous user files.A few attempts have been made in topic modeling.However,one major drawback of current topic modeling approaches is better results.They rely on specific language types and domain similarity of the data.In this research,machine learning approaches have been employed to analyze and extract the information from heterogeneous corpus.A different file labeling technique has also been used to get the meaningful and`cohesive topic of the files.The results show that the proposed methodology can generate relevant and context-sensitive names for heterogeneous data files and provide additional insight into automated file labeling in operating systems.

Is there regional convergence between Morocco and its OECD partner countries in terms of well-being?

Morocco wants its 12 regions to play the role as the main lever of its public policies to initiate harmonized spatial multidimensional development. In the context of this goal and Morocco’s openness over the past two decades to bilateral and multilateral cooperation in an effort toward regional integration, this article studies the convergence of 389 regions in 36 countries(Morocco and 35 of its partner member countries in the Organization for Economic Co-operation and Development(OECD)) between 2000 and 2019 in terms of well-being. To this end, we considered the territorial dimension of β-convergence models for well-being and its four domains(economic, social, environmental, and governance). Then, we adapted the absolute β-convergence model by taking into account the existence of spatial heterogeneity according to five specifications of spatial models. Thus, apart from environmental domain, we found that β-convergence of regions is significant for well-being and three of its domains(economic, social, and governance). These convergences are made by a spatially autocorrelated error model(SEM). However, the speed and period of convergence are relatively low for social domain, partly explaining the very exacerbated tensions at the territorial level. The fastest convergence was achieved in governance domain, followed by economic domain. This suggests that emerging countries must pay particular attention to national public action in favor of social cohesion at the territorial level. The lack of convergence in environmental domain calls for common actions for all countries at the supranational level to protect the commons at the territorial level.

Chinese Unit Neighborhood Planning Strategies: A Case Study of Beijing

Chinese unit residential buildings can be understood as a flexible urban element, and theintroduction of its concept changed the urban structure of China. In this study, starting from the constraintsof contemporary planning contexts by Chinese historical units, the categories of historical Chinese unitresidential buildings were analyzed, and how spatial order and social ties has made Chinese units becomea common framework within which collective living takes place, how does the political strategy of theChinese government creates and constructs a particular form of spatial order in each example of Chineseunit residential buildings, and the impact on the daily life of the urban population were studied. Finally,how social relations, politics, and economic strategies confront and interact within Chinese unit residentialbuildings was explored.