The Hydration, Microstructure, And Mechanical Properties Of Vaterite Calcined Clay Cement (VC³)

Limestone (calcite) calcined clay cement (LC3) is a promising low-CO2 binder, but the low activity of calcite cannot compensate the reduction in clinker factor, resulting in low one-day strength and limiting its broad applications. As recent carbon capture and utilization technologies allow scalable production of vaterite, a more reactive CaCO3 polymorph, we overcome the challenge by introducing vaterite calcined clay cement (VC3), inspired by the vaterite-calcite phase change. In the present study, VC3 exhibits higher compressive strengths and faster hydration than LC3. Compared to hydrated LC3, hydrated VC3 exhibits increased amount of hemi- and mono-carboaluminate formation and decreased amount of strätlingite formation. With gypsum adjustment, the 1-day strength of VC3 is higher than that of pure cement reference. VC3, a low-CO2 binder, presents great potential as a host of the metastable CaCO3 for carbon storage and utilization and as an enabler of carbon capture at gigaton scales

An Investigation to Causes and Consequences of IS Operational Misalignment in Chinese SOE Group

IS strategic alignment has consistently been at the forefront of information systems researchers’ and practitioners’ concerns since the seminal paper by Henderson and Venkatraman in 1993. However, scholars have focused more on strategic level alignment. As one of the important perspectives in IS strategic alignment, IS operational alignment are not paid enough attention in the research. This paper investigates operational alignment issues in a Chinese multinational state-owned company. The base research design for the study uses a rigorous Strauss and Corbin grounded theory approach, that consisted of 41 semi-structured interviews in 7 different company branches located in different provinces of China. Based on this study, the IS operational misalignment situations are identified. Furthermore, the causes and consequences of the misalignment situation are further investigated in this Chinese SOE group

Addressing Domain Shift via Knowledge Space Sharing for Generalized Zero-Shot Industrial Fault Diagnosis

Fault diagnosis is a critical aspect of industrial safety, and supervised industrial fault diagnosis has been extensively researched. However, obtaining fault samples of all categories for model training can be challenging due to cost and safety concerns. As a result, the generalized zero-shot industrial fault diagnosis has gained attention as it aims to diagnose both seen and unseen faults. Nevertheless, the lack of unseen fault data for training poses a challenging domain shift problem (DSP), where unseen faults are often identified as seen faults. In this article, we propose a knowledge space sharing (KSS) model to address the DSP in the generalized zero-shot industrial fault diagnosis task. The KSS model includes a generation mechanism (KSS-G) and a discrimination mechanism (KSS-D). KSS-G generates samples for rare faults by recombining transferable attribute features extracted from seen samples under the guidance of auxiliary knowledge. KSS-D is trained in a supervised way with the help of generated samples, which aims to address the DSP by modeling seen categories in the knowledge space. KSS-D avoids misclassifying rare faults as seen faults and identifies seen fault samples. We conduct generalized zero-shot diagnosis experiments on the benchmark Tennessee-Eastman process, and our results show that our approach outperforms state-of-the-art methods for the generalized zero-shot industrial fault diagnosis problem

Effects of social media and smartphone use on body esteem in female adolescents: Testing a cognitive and affective model

Ministry of Education, Singapore under its Academic Research Funding Tier 1; Ministry of Society and Family, Singapore Fund Tier 1, SFRF2015U-

Stochastic Optimization of Coupled Power Distribution-Urban Transportation Network Operations with Autonomous Mobility on Demand Systems

Autonomous mobility on demand systems (AMoDS) will significantly affect the operation of coupled power distribution-urban transportation networks (PTNs) by the optimal dispatch of electric vehicles (EVs). This paper proposes an uncertainty method to analyze the operational states of PTNs with AMoDS. First, a PTN operation framework is designed considering the controllable EVs dispatched by AMoDS as well as the uncontrollable driving behaviors of other vehicle users. Then, a bi-level power-traffic flow (PTF) model is proposed to characterize the interaction of power distribution networks (PDNs) and urban transportation networks (UTNs). In the upper level, a social optimum model is established to minimize the operating cost of PDNs and UTNs embedded with controllable EVs. In the lower level, a stochastic user equilibrium (SUE) model is established to minimize the operating cost of uncontrollable EVs and gasoline vehicles (GVs) in UTNs. Finally, a probabilistic PTF analysis method is developed to evaluate PTN operations under environmental and human uncertainties. A regional sensitivity analysis method is proposed to identify the critical uncertainties and quantify the impacts of their distribution ranges on PTN operations. The effectiveness of the proposed method is verified by the PTN consisting of a 21-bus PDN and a 20-node UTN.Comment: 10 pages, 13 figure

Study on traditional Chinese medicine medication for acne of wind-heat type in lung meridian based on data mining and network pharmacology

Acne vulgaris of wind-heat in lung meridian is a common skin disease, and there are many traditional Chinese medicine prescriptions, but the mechanism is still not clear. In this paper, the literature on the treatment of acne due to wind-heat in lung meridian and the prescriptions in the patents were collected and sorted out in the past twenty years. Excel 2019 was used for medication frequency statistics, and IBM SPSS 25.0 was used for clustering analysis to obtain the core formula. Network pharmacology was used to collect the related targets of drugs and diseases, to construct the action network, and to conduct enrichment analysis. A total of 137 prescriptions and 167 drugs were obtained. The core prescriptions were Cortex mori, Folium eriobotryae, Scutellariae radix, Glycyrrhrizae radix, Fructus gardeniae, Radix rehmanniae, and Cortex moutan. The treatment of acne due to wind-heat in lung meridian should begin with clearing heat, purging the lung, cooling blood and detoxicating. The core prescriptions mainly played a role through AKT1, IL6, TP53, TNF, VEGFA, EGF targets and Kaposi's sarcoma-related herpes virus infection, measles, toxoplasmosis, EB virus infection, IL-17, MAPK and other signaling pathways, so as to provide reference for further clinical research

Exotica in the Globular Cluster M4, Studied with Chandra, HST, and the VLA

Using the Hubble Ultraviolet Globular Cluster Survey (HUGS) and additional HST archival data, we have carried out a search for optical counterparts to the low-luminosity Chandra X-ray sources in the globular cluster M4 (NGC 6121). We have also searched for optical or X-ray counterparts to radio sources detected by the VLA. We find 24 new confident optical counterparts to Chandra sources for a total of 40, including the 16 previously identified. Of the 24 new identifications, 18 are stellar coronal X-ray sources (active binaries, ABs), the majority located along the binary sequence in a V-I colour-magnitude diagram and generally showing an H-alpha excess. In addition to confirming the previously detected cataclysmic variable (CV, CX4), we identify one confident new CV (CX76), and two candidates (CX81 and CX101). One MSP is known in M4 (CX12), and another strong candidate has been suggested (CX1); we identify some possible MSP candidates among optical and radio sources, such as VLA20, which appears to have a white dwarf counterpart. One X-ray source with a sub-subgiant optical counterpart and a flat radio spectrum (CX8, VLA31) is particularly mysterious. The radial distribution of X-ray sources suggests a relaxed population of average mass ~ 1.2 - 1.5 Msun. Comparing the numbers of ABs, MSPs, and CVs in M4 with other clusters indicates that AB numbers are proportional to cluster mass (primordial population), MSPs to stellar encounter rate (dynamically formed population), while CVs seem to be produced both primordially and dynamically.Comment: 30 pages, 12 figures, 2 pages of supplementary material containing finding chart