Central Construct Research Articles

Construction of Silicon-Stereogenic Center through Desymmetric 1,5-Palladium Migration/C—H Functionalization

Construction of Silicon-Stereogenic Center through Desymmetric 1,5-Palladium Migration/C—H Functionalization

Ionic liquids assisted construction of efficient ceramic-based catalyst by direct ink writing 3D printing for ultra-deep oxidative desulfurization of diesel

3D-printed monolithic catalysts have attracted extensive attention in the petrochemical industry due to significant advantages of excellent circulation, mass and heat transfer efficiency and convenience. However, according to the characteristics of each chemical reaction, there are diversity and difficulty in the design of monolithic catalysts, especially the regulation of catalyst ink, the introduction of active centers and the construction of reaction pores. In this work, we report a preparation of ceramic-based catalysts with direct ink writing (DIW) 3D printing technology for ultra-deep oxidative desulfurization (ODS) of diesel. Through a series of rheological analyses of catalyst inks, the effects of ink composition and content on fluidity and viscoelasticity are explored for the forming mechanism of high-quality 3D printed inks. Besides, ionic liquids (ILs) [C12Vim]3PMo12O40 and mordenite are cleverly introduced into the 3D printed ink for assisted construction of active center and reaction channel in functionalization of the ODS catalyst. The DBT removal of 3D-MoO3/BT-MOR can reach 100 % and this monolithic catalyst is easy to be separated from oil. This work is deeply focused on the preparation and molding of catalyst inks to achieve efficient monolithic catalysts that provide an excellent path for many industrial oxidation reactions.

Көліктік-логистикалық орталықтар менеджментінің оңтайлы құрылымының бизнес моделі

Transport logistics are transport enterprises that are participants in the process of distributing goods, aimed at obtaining a single economic result in the logistics chain. This article discusses the main factors of the company's productivity growth and the priority allocation system. The expansion of transport and logistics systems through the construction and modernization of transport and logistics centers at major transport hubs, mainly in regional centers, is also being considered. The expediency of the applied projects is proved using regression analysis based on the classical modeling method. Optimal management of the management of transport and logistics centers has a number of advantages over the traditional management method, and is also carried out by balancing the requirements of the main groups. The management model in the management of a transport and logistics center is based on five special management processes. In general, this analysis is a classical basic probability method, i.e. fully examines the economic indicators of the enterprise. The model is based on five special management processes. When studying the activities of the supply chain, a single plan provides for the intersection of the processes of supply of raw materials, product preparation, delivery and return, according to which the activities of all partner companies of the chain are coordinated. Companies need to have a good understanding of their place in the supply chain and the possibilities for improving work efficiency.

Prevalence and determinants of prehospital delay among stroke patients in mainland China: A systematic review and meta-analysis of the study protocol.

Prehospital delay is one of the most serious problems in the treatment of stroke patients. In China, although hospitals at all levels have promoted the construction of stroke centers, pre-hospital delays are still very common. As the primary cause of death and disability, stroke not only brings great harm to patients themselves, but also brings a heavy burden on social progress and economic development, it is important to understand the prevalence and determinants of prehospital delay among stroke patients. Therefore, this review aims to determine the pooled prevalence and determinants of prehospital delay in mainland China. A systematic review of eligible articles will be conducted using preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. A comprehensive literature search will be conducted in PubMed, Embase, Cochrane, web of science, China National Knowledge Infrastructure (CNKI), Wanfang, Weipu (VIP) and Chinese Biomedicine Iiterature databas (CBM) databases. The quality of the articles included in the review will be evaluated using the Newcastle-Ottawa Scale (NOS). The pooled prevalence of prehospital delay, and odds ratio and their 95% confidence intervals for relevant influencing factors, will be calculated using RevMan 5.3 software. The existence of heterogeneity among studies will be assessed by computing p-values of Higgins's I2 test statistics and Cochran's Q-statistics. Sensitivity analysis and subgroup analysis will be conducted based on study quality to investigate the possible sources of heterogeneity. Publication bias will be evaluated by funnel chart and by Egger's regression test. This review protocol has been registered PROSPERO (CRD42023484580). By collecting and summarizing information on prehospital delay among stroke patients can be a step towards a better understanding of the prevalence of prehospital delay among stroke patients in mainland China and how the associated factors influence the prevalence of prehospital delay. Therefore, a rapid, accurate diagnosis Stroke, timely pre-hospital first aid, the treatment process forward, for the patient It has great significance. This summarized finding at the national level will provide new clues for intervention to reduce the rate of pre-hospital delay of stroke patients, and is expected to further improve the treatment effect of stroke patients.

Selenium-enriched hollow NiCo2O4/NiO heterostructured nanocages as an efficient electrocatalyst for oxygen evolution reaction.

Finding clean, sustainable, and environmentally friendly technologies is especially crucial in addressing both energy and environmental challenges. To accelerate the oxygen evolution reaction (OER) and to overcome the obstacle of high energy consumption, exploring high-performance electrocatalysts is imperative to maximize the practical applicability of water splitting. Developing electrocatalyst through strategic surface modifications represents a significant approach for the construction of active catalytic centers. In the present work, we successfully synthesized selenium-incorporated hollow NiCo2O4/NiO heterostructured nanocages as electrocatalysts for the OER by precisely controlling the structure and composition of the material. The findings demonstrated that the surface-reconstructed hollow 5 wt% Se-NiCo2O4/NiO heterostructured nanocages resulted in an increased number of active sites through interfacial engineering. Benefiting from the structural control, mass transport was further expedited and due to increased conductivity, accelerated the charge transfer processes within the system. The electrocatalyst exhibited remarkable activity for the OER and displayed a low overpotential (η = 288 mV) at a current density (j) of 10 mA cm-2, small Tafel slope (66.7 mV dec-1) and better stability. This work offers a viable and adaptable method for fabricating a range of functional coordinated MOF compounds that are capable of utilization across diverse energy applications, including storage, conversion and environmental purposes.

A Memory-Efficient Federated Kernel Support Vector Machine for Edge Devices.

A federated learning (FL) scheme (denoted as Fed-KSVM) is designed to train kernel support vector machines (SVMs) over multiple edge devices with low memory consumption. To decompose the training process of kernel SVM, each edge device first constructs high-dimensional random feature vectors of its local data, and then trains a local SVM model over the random feature vectors. To reduce the memory consumption on each edge device, the optimization problem of the local model is divided into several subproblems. Each subproblem only optimizes a subset of the model parameters over a block of random feature vectors with a low dimension. To achieve the same optimal solution to the original optimization problem, an incremental learning algorithm called block boosting is designed to solve these subproblems sequentially. After training of the local models, the central server constructs a global SVM model by averaging the model parameters of these local models. Fed-KSVM only increases the iterations of training the local SVM models to save the memory consumption, while the communication rounds between the edge devices and the central server are not affected. Theoretical analysis shows that the kernel SVM model trained by Fed-KSVM converges to the optimal model with a linear convergence rate. Because of such a fast convergence rate, Fed-KSVM reduces the communication cost during training by up to 99% compared with the centralized training method. The experimental results also show that Fed-KSVM reduces the memory consumption on the edge devices by nearly 90% while achieving the highest test accuracy, compared with the state-of-the-art schemes.

Smart Traffic Signal Timing Center Construction Path Exploration under the Background of “Double Smart City”

Smart Traffic Signal Timing Center Construction Path Exploration under the Background of “Double Smart City”

Research on Challenges and Countermeasures of Enterprise Integrated Service Center Construction from the Perspective of Service-Oriented Government—Based on the Case Study of Enterprise Integrated Service Center in District X of H City

Research on Challenges and Countermeasures of Enterprise Integrated Service Center Construction from the Perspective of Service-Oriented Government—Based on the Case Study of Enterprise Integrated Service Center in District X of H City

Problems of marketing logistics and infrastructure in Ukraine under martial law: ways to solve them in the context of European integration

Purpose. The purpose of the article is to assess the level of development of logistics and infrastructure in the pre-war economy of Ukraine, to identify problems and peculiarities of its functioning during the martial law, as well as to formulate measures for its restoration and improvement in the context of European integration. Results. The logistics system of Ukraine in the years before the russian-Ukrainian war had a tendency to progressive development. This is evidenced by the positive dynamics of the national Logistics Performance Index. The most developed component of the domestic logistics system was the timeliness of cargo deliveries, and the least developed – the quality of trade and transport infrastructure. The hypothesis that during military operations on the territory of Ukraine, its logistics infrastructure underwent fundamental changes was confirmed. The most painful thing for the country is the destruction and damage of infrastructure and infrastructure connections. Analysis and consideration of these factors will allow logistics companies to adapt to changing, critical conditions and operate more efficiently. The phenomena and processes affecting Ukrainian logistics during martial law have been identified. Scientific novelty. The study identified factors that influenced the change in logistics services in Ukraine during the war within four groups: people, infrastructure, security, legislation. The authors proposed two groups of measures (short-term and long-term) that will resume Ukraine’s foreign trade activities, as well as improve logistics within the country in the context of its European integration. Practical value. The practical value of this study is that it can be used as a source and tool in the development of specific measures and programs for the development of the logistics infrastructure of Ukraine, in particular, the construction of new logistics routes and logistics centers.

Reduced anterior callosal white matter in risk for psychosis associated with processing speed as a fundamental cognitive impairment

BackgroundPrevious research in psychotic disorders discovered associations between reduced integrity of white matter (WM) in the corpus callosum (CC) and impaired cognitive functions, suggesting processing speed as a central construct. However, it is still largely unexplored to what extent disruption in callosal WM is related to cognitive deficits during the risk stage prior to psychosis. MethodsTo address this gap, we measured the WM integrity in CC by fractional anisotropy (FA) and assessed cognition in 60 clinical-high risk for psychosis (CHR) patients during adolescence/young adulthood and 38 healthy control (HC) subjects. We employed tract based spatial statistics to examine group differences and associations between CC-FA and processing speed, executive function, and spatial working memory. ResultsWe revealed deficits in processing speed, executive function, and spatial working memory of CHR patients, and reductions in FA of the genu and the body of the CC (p < 0.05, corrected for multiple comparisons) compared to HC. A mediation analysis using the combined sample (CHR + HC) showed that processing speed mediates the associations between the impaired CC structure and executive function and spatial working memory, respectively. Exploratory analyses between CC-FA and the cognitive domains located associations of processing speed in the genu and the body of CC with distinct spatial distributions of executive function and spatial working memory. ConclusionWe suggest processing speed as a subordinate cognitive factor contributing to the associations between callosal WM, executive function and working memory. These results extend findings in psychotic disorders to the prior risk stage.

Development challenges of the architecture of intergenerational centers in Russia

The study explores the architecture of intergenerational centers with the aim of identifying their specific features based on a review of theoretical and practical experiences in their construction. Currently, Russia lacks architectural and spatial environments that promote social communication between generations. The research work begins with a review of international and domestic experiences in the construction of intergenerational centers and consideration of the modern typology of intergenerational centers and issues in their design and development. Spatial planning models have been developed, and the disadvantages and advantages of existing intergenerational centers have been identified. The findings of this study may be of use for further theoretical research into the development of intergenerational centers.

Cross-regional Participation in National Graduate Admission Examination:The Historical Implications of Shuntian and Shanxi Provincial Examination in the Late Qing Dynasty

In the late Qing Dynasty, Renyin and Guimao rural examinations were the last two rural examinations in the history of Chinese imperial examinations. However, under the intrusion of domestic troubles and foreign invaders, the Qing Court had to adopt a compromise method in order to continue the tradition of selecting scholars through the imperial examinations and pick out and promote talents. The imperial examinations were held in Shuntian County in Henan Province and in Shanxi Province in Shaanxi Province, which led to the rare phenomenon of borrowing Wei in the imperial examinations of thousands of years. When the implementation process of the two provinces of the provincial exams borrowed exams are compared, it is found that there are many differences between the two provinces in terms of the time priority, the complexity of admission and delivery, the dispatch of officials and the content of the examination. However, from the perspective of the examination concepts such as the objectives and principles of the borrowed exams, the two provinces have obvious common features, including paying attention to the simplicity of the township examination organization, respecting the independence of provincial township examination, and adhering to the fairness of the imperial examination. From the perspective of the past, the practice experience in the late Qing Dynasty is similar to that in the present. It has important historical revelation for improving the management level and ability of the modernization of the postgraduate entrance examination. Firstly, we should strengthen the construction of the national system of the postgraduate entrance examination in different places, secondly, we should attach importance to the construction of standardized examination centers in different provinces and regions, and thirdly, we should improve the coordination mechanism of the resources of the postgraduate entrance examination in different places.

Parametric model reduction for a cantilevered pipe conveying fluid via parameter-dependent center and unstable manifolds

A cantilevered pipe conveying fluid can display highly nonlinear dynamical behaviors. High-resolution discrete models are used to accurately simulate the highly nonlinear dynamics of the pipe system. Such simulations need to be performed many times in order to study how the nonlinear responses are affected by the flow velocity. To facilitate and speed up the analysis of the nonlinear dynamics, we show how to use parameter-dependent center and unstable manifolds construct parametric reduced-order models (ROMs) that work for a range of flow velocities. Such ROMs enable efficient extraction of bifurcation diagrams characterizing how self-excited limit cycles of the pipe system in the post-flutter region are affected by the flow velocity. We find that the unstable-manifold-based ROMs outperform the center-manifold-based ROMs because the former work for a larger range of flow velocities. In addition, we demonstrate how to use the unstable-manifold-based ROMs predict forced nonlinear vibrations of the pipe, including periodic and quasi-periodic responses and their dependence on the flow velocity.

The Implementation of Talent Management Implementation at Regional Employee Agency Wonogiri Regency Central Java

Bureaucratic Reform (RB) in Indonesia represents a strategic redesign of the bureaucratic system to adapt to societal and global dynamics. Within the spectrum of RB-induced changes, particular attention is given to human resources, with Talent Management emerging as a pivotal element aimed at enhancing the governance of civil servants (ASN). This research seeks to explore the implementation of Talent Management in the Regional Employee Agency (BKD) of Wonogiri Regency, examining both supporting and inhibiting factors, and proposing solutions in line with Policy Implementation theory. Employing qualitative research methods encompassing observation, interviews, and documentation, the study reveals that the implementation of Talent Management in Wonogiri Regency is generally commendable, driven by effective communication, the commitment of the Wonogiri Regent, and clear Standard Operating Procedures (SOPs). Nevertheless, challenges include the absence of assessors, lack of an Assessment Center, insufficient budget allocation, and the absence of a dedicated field for Talent Management. Mitigation efforts involve certifying assessor employees, proposing the construction of an Assessment Center, requesting budget allocations, and refining the organizational structure to address these challenges and further enhance the Talent Management framework.&#x0D;

Exploring the relationship between computational frameworks and neuroscience studies for sensorimotor learning and control

&lt;p&gt;The relationship between computational frameworks and neuroscience studies is crucial for understanding sensorimotor learning and control. Various tools and frameworks, such as Bayesian decision theory, neural dynamics framework, and state space framework, have been used to explore this relationship. Bayesian decision theory provides a mathematical framework for studying sensorimotor control and learning. It suggests that the central nervous system constructs estimate of sensorimotor transformations through internal models and represents uncertainty to respond optimally to environmental stimuli. The neural dynamics framework analyzes patterns of neural activity to understand the computational mechanisms underlying sensorimotor control and learning. The state space framework assesses the structure of learning in the state space and helps understand how the brain transforms sensory input into motor output. Computational frameworks have provided valuable insights into sensorimotor learning and control. They have been used to study the organization of motor memories based on contextual rules and the role of structural learning in the sensorimotor system. These frameworks have also been employed to investigate the neural dynamics under sensorimotor control and learning tasks, as well as the effect of explicit strategies on sensorimotor learning. The interplay between computational frameworks and neuroscience studies has enhanced our understanding of sensorimotor learning and control. Bayesian decision theory, neural dynamics framework, and state space framework have provided valuable tools for studying the computational mechanisms underlying these processes. They have helped uncover the role of contextual information, structural learning, and neural dynamics in sensorimotor control and learning. Further research should continue exploring the relationship between computational frameworks and neuroscience studies in sensorimotor learning and control. This interdisciplinary approach can lead to a better understanding of how motor skills are learned, retained, and improved through targeted interventions. Additionally, the application of computational frameworks in clinical settings may help develop more effective rehabilitation strategies for individuals with motor impairments.&lt;/p&gt;

Architecting multi-active center on 3DOM La0.76Ce0.19Ag0.05Mn0.9Co0.1O3-δ perovskite for soot oxidation

Precise construction of multiple active centers on perovskite oxides is recognized as a feasible and promising strategy to cooperatively promote the catalytic performances. Herein, 3DOM La0.76Ce0.19Ag0.05Mn0.9Co0.1O3-δ perovskite was designed and further treated within H2/N2 flow. High-temperature reduction did not destroy the original structure of perovskite, while the lattice Ag and Co were exsolved on perovskite surfaces to form Ag/Ag2O and Co@Co3O4. Compared with the traditional impregnation method, this strategy provided the active nanoparticles with smaller size, higher dispersion, and stronger interaction with perovskite matrix. XPS and O2-TPD indicated that the exsolved Ag and Co components could not only act as the O2 activation sites to accelerate the generation of active oxygen species on surfaces, but also offered the electrons to the oxygen vacancy on the perovskite. In addition, the vacancy formed after A-site and B-site cations exsolution could also adsorb and activate O2, ultimately boosting the catalytic combustion of soot. As a result, the developed perovskite exhibited a competitive catalytic activity with the T50 of 364 ℃ under the condition of 500 ppm NO + 5 % O2/N2. This work offered a facile and effective pathway to assemble high-performance perovskite-type oxides for heterogeneous catalysis.

Africa’s roads to digital development: paving the way for Chinese structural power in the ICT sector?

Over the past few decades, China emerged as Africa’s main partner in digital development. Sino-African cooperation in the Information and Communications Technology (ICT) sector meets African demand for advanced technologies and know-how while helping China to position itself in the global ICT sector. Albeit crucial for Africa’s digital development in the short term, this paper argues that the breadth of Sino-African cooperation carries important long-term consequences that could afford China latent control over Africa’s digital development. Drawing on Susan Strange’s pillars of structural power, this paper considers how the rollout of fiber-optic network cables underpins Chinese control over production, how the construction of data centers might impinge on security, and how research partnerships enhance norms and standards in future innovation—the knowledge pillar. The paper argues that the enabling force of Sino-African cooperation in these three realms is Chinese finance. To test this claim, I conduct a Qualitative Comparative Analysis (QCA) of 42 states in Sub-Saharan Africa, showing that Chinese aid and, to a lesser extent, Chinese loans are the main drivers of Sino-African ties in the ICT sector. The paper concludes that Chinese financial support not only promotes Africa’s digital development but also paves the way to Chinese structural power in the ICT sector.

Computer modeling of the interaction of the building underground part with the soil foundation during the karst cavity formation on the example of the administrative and business center construction

In restrained urban conditions of Moscow, the accomplishment of complex urban construction projects is complicated by the choice of construction sites, as well as by lack of methods for computer modeling of the interaction of high-rise and unique buildings and structures with the probable formation of karst cavities in the current regulatory documents. The overall profitability of the project is under the great impact of it, therefore a reliable accounting of karts-suffusion processes is a priority issue in designing buildings and structures, especially if it concerns the unique and high-rise ones. The authors analyze the results of the calculations of the forecast assessment of the impact of a karst cavity probable formation on the subsurface parts of building of the administrative and business center construction in flat and spatial formulation. In spatial formulation different positions of the potential karst cavities are considered; their locations were chosen according to standard procedures and were guided by the results of geological and geophysical research. It has been reviewed the formation of arch over a karst cavity in a 2D and 3D formulation in the condition of different location of the karst cavities in plan and by depth of occurrence. It has been made methodological recommendations for determining the predicted bore of the karst cavity, for taking into account the frame stiffness of the aboveground part of the building, for defining the principles of a karst cavity modeling, as well as for the choice of assessment criteria of stability of cover mass above the potential cavity. The discovered differences in the results of 2D and 3D settings permit to make a conclusion that solving the problem in a flat formulation contributes to the overestimation of karst processes danger and, therefore, to the excess in anti-karst measures included in the project.

The d-word: surveying democracy in America

ABSTRACT Political science has a “d-word” problem. Democracy is a central construct in political science, yet researchers have not settled on a single, unified definition. Furthermore, scholars increasingly fear mass publics are dividing on their meanings of democracy. This study uses two nationally representative American public and expert surveys to determine how Americans construe the word democracy. Using Blackbox transpose analysis, it finds that Americans conceive of liberal democracy – a democracy with civil liberties and political rights – more so than of democratic institutions by themselves. Additionally, the publics’ ratings are highly consistent with ratings provided in parallel expert surveys. However, partisanship, education, and political interest colour how democratic citizens perceive different countries to be.

Gold(I)-Catalyzed Cascade Cyclization of Alkynyl Indoles for the Stereoselective Construction of the Quaternary Carbon Center of Akuammiline Alkaloids.

A gold-catalyzed cyclization reaction of alkynyl-indoles has been developed for the stereoselective construction of the quaternary carbon center of fused indolines. This reaction efficiently produces fused indolines via diastereoselective 6-endo-dig cyclization controlled by a bulky TIPS group, followed by nucleophilic attack of the carboxy group on the resulting imine. The lactone moiety of the fused indoline can be reductively cleaved to produce a tricyclic indoline, which could be useful for the synthesis of akuammiline alkaloids.