Age-driven Joint Sampling and Non-slot Based Scheduling for Industrial Internet of Things

Effective control of time-sensitive industrial applications depends on the real-time transmission of data from underlying sensors. Quantifying the data freshness through age of information (AoI), in this paper, we jointly design sampling and non-slot based scheduling policies to minimize the maximum time-average age of information (MAoI) among sensors with the constraints of average energy cost and finite queue stability. To overcome the intractability involving high couplings of such a complex stochastic process, we first focus on the single-sensor time-average AoI optimization problem and convert the constrained Markov decision process (CMDP) into an unconstrained Markov decision process (MDP) by the Lagrangian method. With the infinite-time average energy and AoI expression expended as the Bellman equation, the single-sensor time-average AoI optimization problem can be approached through the steady-state distribution probability. Further, we propose a low-complexity sub-optimal sampling and semi-distributed scheduling scheme for the multi-sensor scenario. The simulation results show that the proposed scheme reduces the MAoI significantly while achieving a balance between the sampling rate and service rate for multiple sensors

Employees’ Collaborative Use of Green Information Systems

Green information system (GIS) plays an important role in the sustainable development of organizations, especially for those in emerging economy that face both economic and environmental pressures. To fulfill the purpose, employees need to work together on tasks using all kinds of GIS functions such as online collaboration and remote meeting. Researchers study GIS adoption at either the organizational level or the individual level, but few examine such technology-enabled collaboration as a cross-level phenomenon. Extending the belief-action-outcome (BAO) framework, this study investigates the motivation, effort and performance of collaborative GIS use. In particular, there are two aspects of motivation: GIS strategy as extrinsic motivation and GIS belief as intrinsic motivation, as well as two types of performance: tangible environmental performance and intangible green image. Collective GIS effort mediates the relationships between motivation and performance variables. Empirical evidence based on survey observations collected in China supports most hypothesized relationships. The findings provide helpful insights on the best practices to promote the collaborative use of GIS for corporate sustainability

Research and Exploration on the Optimization of the Completion System of the History Library Group of Colleges and University

This paper first analyzes the commonness and current problems in the systematic construction of the university history museum, and then, combining with the experience and practice in the systematic optimization construction of the university history museum in our college, focuses on the conception of the content setting and spatial hierarchy optimization of the history museum, as well as the specific construction organization and working mechanism. It provides an example and reference for the systematic optimization and construction of history museums in other universities

An Ash2L/RbBP5 Heterodimer Stimulates the MLL1 Methyltransferase Activity through Coordinated Substrate Interactions with the MLL1 SET Domain

Histone H3 lysine 4 (K4) methylation is a prevalent mark associated with transcription activation and is mainly catalyzed by the MLL/SET1 family histone methyltransferases. A common feature of the mammalian MLL/SET1 complexes is the presence of three core components (RbBP5, Ash2L and WDR5) and a catalytic subunit containing a SET domain. Unlike most other histone lysine methyltransferases, all four proteins are required for efficient H3 K4 methylation. Despite extensive efforts, mechanisms for how three core components regulate MLL/SET1 methyltransferase activity remain elusive. Here we show that a heterodimer of Ash2L and RbBP5 has intrinsic histone methyltransferase activity. This activity requires the highly conserved SPRY domain of Ash2L and a short peptide of RbBP5. We demonstrate that both Ash2L and the MLL1 SET domain are capable of binding to S-adenosyl-L- [methyl-3H] methionine in the MLL1 core complex. Mutations in the MLL1 SET domain that fail to support overall H3 K4 methylation also compromise SAM binding by Ash2L. Taken together, our results show that the Ash2L/RbBP5 heterodimer plays a critical role in the overall catalysis of MLL1 mediated H3 K4 methylation. The results we describe here provide mechanistic insights for unique regulation of the MLL1 methyltransferase activity. It suggests that both Ash2L/RbBP5 and the MLL1 SET domain make direct contacts with the substrates and contribute to the formation of a joint catalytic center. Given the shared core configuration among all MLL/SET1 family HMTs, it will be interesting to test whether the mechanism we describe here can be generalized to other MLL/SET1 family members in the future

Optical source profiles of brown carbon in size-resolved particulate matter from typical domestic biofuel burning over Guanzhong Plain, China

In this study, both PM2.5 and size-resolved source samples were collected from a "heated kang" and an advanced stove to investigate the optical properties of brown carbon (BrC). The light-absorption coefficient (babs), the absorption Angstrom exponent (AAE), and the mass absorption cross-section (MAC) of both water and methanol-extracted BrC were investigated. The methanol-extracted BrC (BrCmethanol) had higher light absorption than water-extracted BrC (BrCwater). The value of PM2.5 babs of BrCmethanol at 365 nm(b(abs365),methanol) dramatically decreased from 64,669.8Mm(-1) for straw burning in the "heated kang" to 1169.2 Mm(-1) formaize straw briquettes burning in the advanced stove at the same burning rate. The value of PM2.5 MAC for BrCmethanol at 365 nm (MAC(365), methanol) decreased from 1.8 m(2) g(-1) in the "heated kang" to 1.3 m(2) g-1 in the advanced stove. For smoldering burning in the "heated kang", babs365, methanol, MAC365, methanol, and K+ showed a unimodal distribution that peaked at sizes < 0.4 mu m. However, the babs365, methanol and MAC(365), methanol size distributions of the briquette burning in the advanced stove showed a bimodal pattern, with a large peak at sizes < 0.4 mu m and a minor peak in the size range of 4.7-5.8 mu m. The babs365, methanol value for sizes < 0.4 mu m (277.4 Mm(-1)) was only 12.3% compared to those obtained from the "heated kang". The burning rate did not influence the size distribution pattern of either the "heated kang" or the advanced stove. Results from a radiative model show that biomass burning is an important factor for light absorptivity, and the use of an advanced stove can reduce the simple forcing efficiency value by nearly 20% in UV bands compared to the "heated kang". Our results indicate that changing the combustion style from maize straw smoldering to briquette burning in an advanced stove can effectively reduce BrC emissions during heating seasons in rural areas of Guanzhong Plain. (C) 2017 Elsevier B.V. All rights reserved

Construction of a prognostic Nomogram for patients with incidental gallbladder cancer

Objective To construct and validate an effective prognostic nomogram for the patients with incidental gallbladder cancer(IGBC). Methods The clinical data of 161 patients with IGBC requiring radical surgery admitted to the First Affiliated Hospital of Xi’an Jiaotong University from May 2011 to October 2022 was analyzed retrospectively. COX proportional risk regression model was used to screen for influencing factors on overall survival(OS) of IGBC. Nomogram was constructed based on independent influencing factors that affected the prognosis of IGBC patients. The concordance index(C-index) and calibration curve were used to validate the performance of the model. Receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) were used to validate the predictive accuracy and net benefit of the plotted column chart. Results Univariate COX regression analysis suggested that age, T stage, N stage, M stage, preoperative carcinoembryonic antigen(CEA), preoperative carbohydrate antigen19-9(CA19-9), preoperative red blood cell volume distribution on width coefficient of variation(RDW-CV), treatment method, and recurrence and metastasis were risk factors which affected the long-term survival of IGBC patients after radical surgery. Multivariate COX regression analysis suggested that T stage, N stage, preoperative CA19-9， preoperative RDW-CV, preoperative AST， treatment methods, and recurrence and metastasis were independent risk factors which affected the prognosis of IGBC patients. The C-index of the constructed prognostic model was 0.872. The calibration plot demonstrated good performance of the Nomogram. ROC curve analysis showed an area under the curve of 0.869, confirming a high sensitivity and specificity. A high net benefit was proven by DCA. Conclusions The constructed Nomogram can accurately and intuitively predict the survival probability of IGBC patients after radical surgery

Crystal structure of the N‐terminal region of human Ash2L shows a winged‐helix motif involved in DNA binding

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102216/1/embr2011101-sup-0001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/102216/2/embr2011101.reviewer_comments.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/102216/3/embr2011101.pd