Approximate solution of plastic zone boundary of surrounding rock of circular roadway considering axial stress

In order to study the boundary of plastic zone of surrounding rock of a roadway considering axial stress, based on Mohr-Coulomb criterion, the implicit equation of plastic zone boundary of surrounding rock of circular roadway considering axial stress is derived by introducing Lode angle parameter. The size and shape of plastic zone of surrounding rock under different stress fields are analyzed by changing the horizontal stress σx and axial stress σy of roadway, and the reliability of theoretical analysis is further illustrated by numerical simulation. In addition, the influence of cohesion C, internal friction angle φ, roadway radius R and Poisson’s ratio v on the stability of surrounding rock is studied. The results show that : ① Under the condition of fixed axial lateral pressure while changing horizontal lateral pressure, the size change of plastic zone of surrounding rock can be divided into sensitive zone and insensitive zone, and in the changing process of horizontal lateral pressure, the plastic zone of surrounding rock shows three forms: circular, elliptical and butterfly-shaped. ② Under the condition of fixed horizontal lateral pressure while changing axial lateral pressure, the plastic zone at each position of surrounding rock shows a strong interval effect. By comparing the size of plastic zone under plane strain problem, the region is divided into axial stress-affected zone and axial stress-unaffected zone. In the influence zone of axial stress, the change of axial lateral pressure has great influence on the size of plastic zone of surrounding rock. ③ The failure mode of roadway surrounding rock is determined by the horizontal lateral pressure η1, and the axial lateral pressure η2 has little effect on the shape of plastic zone, but has great influence on the size. ④ The increase of surrounding rock C and φ will reduce the size of plastic zone of roadway surrounding rock to varying degrees, and the increase of R will increase the plastic zone at different positions of surrounding rock in an equal number sequence. In the axial stress-unaffected zone, v has no effect on the size of plastic zone of surrounding rock. In the axial stress-affected zone, the size of plastic zone at the wing corner is not affected by v, and the size of plastic zone at other locations is affected to different degrees

Polychlorinated biphenyls (PCBs) and hexachlorobenzene (HCB) in the equatorial Indian Ocean: Temporal trend, continental outflow and air-water exchange

Nineteen pairs of air and seawater samples collected from the equatorial Indian Ocean onboard the Shiyan I from 4/2011 to 5/2011 were analyzed for PCBs and HCB. Gaseous concentrations of Sigma(ICES)PCBs (ICES: International Council for the Exploration of the Seas) and HCB were lower than previous data over the study area. Air samples collected near the coast had higher levels of PCBs relative to those collected in the open ocean, which may be influenced by proximity to source regions and air mass origins. Dissolved concentrations of Sigma(ICES)PCBs and HCB were 1.4-14 pg L-1 and 0.94-13 pg L-1, with the highest concentrations in the sample collected from Strait of Malacca. Fugacity fractions suggest volatilization of PCBs and HCB from the seawater to air during the cruise, with fluxes of 0.45-34 ng m(-2) d(-1) and 0.36-18 ng m(-2) d(-1), respectively. (c) 2014 Elsevier Ltd. All rights reserved.Nineteen pairs of air and seawater samples collected from the equatorial Indian Ocean onboard the Shiyan I from 4/2011 to 5/2011 were analyzed for PCBs and HCB. Gaseous concentrations of Sigma(ICES)PCBs (ICES: International Council for the Exploration of the Seas) and HCB were lower than previous data over the study area. Air samples collected near the coast had higher levels of PCBs relative to those collected in the open ocean, which may be influenced by proximity to source regions and air mass origins. Dissolved concentrations of Sigma(ICES)PCBs and HCB were 1.4-14 pg L-1 and 0.94-13 pg L-1, with the highest concentrations in the sample collected from Strait of Malacca. Fugacity fractions suggest volatilization of PCBs and HCB from the seawater to air during the cruise, with fluxes of 0.45-34 ng m(-2) d(-1) and 0.36-18 ng m(-2) d(-1), respectively. (c) 2014 Elsevier Ltd. All rights reserved

Metabolic risk factors of cognitive impairment in young women with major psychiatric disorder

BackgroundCognitive performance improves clinical outcomes of patients with major psychiatric disorder (MPD), but is impaired by hyperglycemia. Psychotropic agents often induce metabolism syndrome (MetS). The identification of modifiable metabolic risk factors of cognitive impairment may enable targeted improvements of patient care.ObjectiveTo investigate the relationship between MetS and cognitive impairment in young women with MPD, and to explore risk factors.MethodsWe retrospectively studied women of 18–34 years of age receiving psychotropic medications for first-onset schizophrenia (SCH), bipolar disorder (BP), or major depressive disorder (MDD). Data were obtained at four time points: presentation but before psychotropic medication; 4–8 and 8–12 weeks of psychotropic therapy; and enrollment. MATRICS Consensus Cognitive Battery, (MCCB)—based Global Deficit Scores were used to assess cognitive impairment. Multiple logistic analysis was used to calculate risk factors. Multivariate models were used to investigate factors associated with cognitive impairment.ResultsWe evaluated 2,864 participants. Cognitive impairment was observed in 61.94% of study participants, and was most prevalent among patients with BP (69.38%). HbA1c within the 8–12 week-treatment interval was the most significant risk factor and highest in BP. Factors in SCH included pre-treatment waist circumference and elevated triglycerides during the 8–12 weeks treatment interval. Cumulative dosages of antipsychotics, antidepressants, and valproate were associated with cognitive impairment in all MPD subgroups, although lithium demonstrated a protect effect (all P < 0.001).ConclusionsCognitive impairment was associated with elevated HbA1c and cumulative medication dosages. Pre-treatment waist circumference and triglyceride level at 8–12 weeks were risk factors in SCH. Monitoring these indices may inform treatment revisions to improve clinical outcomes

CYP27A1 deficiency promoted osteoclast differentiation

Background The elevating osteoclast differentiation can lead to an imbalance in bone homeostasis, which was responsible for bone loss and bone diseases, such as osteoporosis. Multiple pathways and molecules have been involved in osteoclast formation, but the role of CYP27A1 in osteoclast differentiation has never been explored. Methods CYP27A1 deficient mice were constructed using CRISPR-Cas9 system. Osteoclast differentiation was detected by TRAP staining. Differentially expressed genes (DEGs) were identified using RNA-seq analysis and were confirmed by qRT-PCR and Western blot. Results The results showed that CYP27A1 knockout (KO) promoted osteoclast differentiation and bone loss. The transcriptomic analysis revealed that CYP27A1 KO led to differential expression of multiple genes, including ELANE, LY6C2, S100A9, GM20708, BGN, SPARC, and COL1A2, which were confirmed by qRT-PCR and Western blot. Enrichment analysis indicated that these differential genes were significantly associated with osteogenesis-related pathways, such as PPAR signaling, IL-17 signaling, and PI3K/AKT signaling, which were confirmed by qRT-PCR and Western blot. Conclusions These results suggested that CYP27A1 was involved in osteoclast differentiation, providing a novel therapeutic target for osteoclast-related diseases

Can government regulation, carbon-emission reduction certification and information publicity promote carpooling behavior?

This study constructs a novel theoretical framework to uncover the effects of government regu-lation, carbon-emission reduction certification and information publicity on people's carpooling behavior. Survey data on 1056 potential users from China were empirically examined using partial least squares structural equation modeling and multigroup analysis. The results reveal that government regulation and carbon-emission reduction certification can significantly improve users' carpooling intention. Information publicity not only positively influences carpooling intention but also increases carpooling behavior. Interestingly, government regulation has a more significant effect on female users, users with high educational levels and young users. Carbon -emission reduction certification may negatively affect female users' carpooling behavior. Infor-mation publicity is even effective at improving the older users' carpooling intention. This research provides new evidence and serves as an insightful decision-making reference for poli-cymakers and operators worldwide seeking to encourage people's carpooling behavior

Enhanced Cooperation among Stakeholders in PPP Mega-Infrastructure Projects: A China Study

Despite the consensus that enhanced cooperation among stakeholders is critical to the successful delivery of public-private partnership (PPP) mega-infrastructure projects, there has been a limited utilization of the quantitative approach to explore the cooperation mechanism. Drawing on research and the actual practice of PPP projects in China, a quantitative mathematical model using evolutionary game theory is constructed to explore the internal cooperation mechanism. Numerical simulation is implemented to investigate the impact of the punitive mechanism and allocation mechanism on the enhanced cooperation. The simulation result indicates that reasonable benefit allocation and a strong punitive mechanism are crucial to enhanced cooperation. Action research supported by a case study in Dalian was conducted to verify the scientific practicalities of the simulation method. An enhanced cooperation framework was proposed. The role conversion of the government and the private sectors makes the enhanced cooperation feasible. This evolution model and cooperation framework can facilitate enhanced cooperation in PPP mega-infrastructure projects

Research Developments and Prospects on Microseismic Source Location in Mines

Microseismic source location is the essential factor in microseismic monitoring technology, and its location precision has a large impact on the performance of the technique. Here, we discuss the problem of low-precision location identification for microseismic events in a mine, as may be obtained using conventional location methods that are based on arrival time. In this paper, microseismic location characteristics in mining are analyzed according to the characteristics of the mine’s microseismic wavefield. We review research progress in mine-related microseismic source location methods in recent years, including the combination of the Geiger method with the linear method, combined microseismic event location method, optimization of relative location method, location method without pre-measured velocity, and location method without arrival time picking. The advantages and disadvantages of these methods are discussed, along with their feasible conditions. The influences of geophone distribution, first arrival time picking, and the velocity model on microseismic source location are analyzed, and measures are proposed to influence these factors. Approaches to solve the problem under study include adopting information fusion, combining and optimizing existing methods, and creating new methods to realize high-precision microseismic source location. Optimization of the velocity structure, along with applications of the time-reversal imaging technique, passive time-reversal mirror, and relative interferometric imaging, are expected to greatly improve microseismic location precision in mines. This paper also discusses the potential application of information fusion and deep learning methods in microseismic source location in mines. These new and innovative location methods for microseismic source location have extensive prospects for development. Keywords: Microseismic source location, Influencing factors, Time-reversal imaging, Research progress, Prospects for developmen

Synthesis of Composite Titanate Photocatalyst via Molten Salt Processing and Its Enhanced Photocatalytic Properties

Photocatalysis plays a pivotal role in environmental remediation and energy production and improving the efficiency of photocatalysts, yet enhancing its efficiency remains a challenge. Titanate has been claimed to be a very promising material amongst various photocatalysts in recent years. In this work, a novel composite photocatalyst of sodium titanate and potassium titanate was synthesized via a simple hydrothermal and molten salt calcination method. Low melting point nitrate was added in the calcination process, which helps reduce the calcination temperature. The as-prepared composite sample showed excellent photocatalytic performance compared with commercial P25 in the visible light range. According to the characterization of XRD, SEM, TEM, BET, UV–Vis, and photocatalytic property testing, the composite’s photocatalytic performance results are due to the dual optimization brought about by the layered structure and composite of titanium salts forming a heterojunction. We believe that the composite has significant application potential for the use of titanate in the field of photocatalysis. Notably, this study employed well-documented synthesis methods and adhered to established protocols for experimental procedures

Disassembly Sequence Planning for Intelligent Manufacturing Using Social Engineering Optimizer

Product disassembly and recycling are important issues in green design. Disassembly sequence planning (DSP) is an important problem in the product disassembly process. The core idea is to generate the best or approximately optimal disassembly sequence to reduce disassembly costs and time. According to the characteristics of the DSP problem, a new algorithm to solve the DSP problem is proposed. Firstly, a disassembly hybrid graph is introduced, and a disassembly constraint matrix is established. Secondly, the disassembling time, replacement frequency of disassembly tool and replacement frequency of disassembly direction are taken as evaluation criteria to establish the product fitness function. Then, an improved social engineering optimizer (SEO) method is proposed. In order to enable the algorithm to solve the problem of disassembly sequence planning, a swap operator and swap sequence are introduced, and steps of the social engineering optimizer are redefined. Finally, taking a worm reducer as an example, the proposed algorithm is used to generate the disassembly sequence, and the influence of the parameters on the optimization results is analyzed. Compared with several heuristic intelligent optimization methods, the effectiveness of the proposed method is verified