bluuebunny/crossref_metadata_2025 huggingface dataset:
Study quality and efficacy of psychological interventions for posttraumatic stress disorder: a meta-analysis of randomized controlled trials
Authors: Morina Nexhmedin , Hoppen Thole H. , Kip Ahlke
Published: May 2021

Background

Research indicates that higher study quality may be associated with smaller treatment effects. Yet, knowledge about the association between study quality and treatment efficacy for posttraumatic stress disorder (PTSD) is limited. We aimed at evaluating the efficacy of psychological interventions for adult PTSD and the association between study quality and treatment effects.

Methods

We conducted a systematic search to identify randomized controlled trials (RCTs) that examined the efficacy of psychological interventions for chronic PTSD symptoms in adult samples with at least 70% of patients being diagnosed with PTSD by means of a structured interview. We assessed study quality using the following eight criteria from prior research: N ⩾ 50, all patients met criteria for PTSD, a treatment manual was used, therapists were trained, treatment integrity was checked, intent-to-treat analyses were applied, randomization was conducted by an independent party, and treatment outcome was conducted by blind assessors.

Results

The search resulted in 136 RCTs with 8978 patients. Active treatment conditions were largely effective in reducing PTSD symptoms at posttreatment and follow-up (Hedges' g = 1.09 and 0.81, respectively) when compared to passive control conditions. The comparison to active control conditions at posttreatment and follow-up resulted in medium effect sizes. A total of 14 trials met all study quality criteria and these trials produced large effect sizes when compared to passive control conditions at posttreatment and follow-up.

Conclusions

Overall, study quality was not significantly associated with effect size. The findings indicate that psychological interventions can effectively reduce PTSD symptoms irrespective of study quality.
Augmented reality for maritime navigation data visualisation: a systematic review, issues and perspectives
Authors: Laera Francesco , Fiorentino Michele , Evangelista Alessandro , Boccaccio Antonio , Manghisi Vito M. , Gabbard Joseph , Gattullo Michele , Uva Antonio E. , Foglia Mario M.
Published: May 2021

This study investigates the use of augmented reality technology (AR) in the field of maritime navigation and how researchers and designers have addressed AR data visualisation. The paper presents a systematic review analysing the publication type, the AR device, which information elements are visualised and how, the validation method and technological readiness. Eleven AR maritime solutions identified from scientific papers are studied and discussed in relation to previous navigation tools. It is found that primitive information such as course, compass degrees, boat speed and geographic coordinates continue to be fundamental information to be represented even with AR maritime solutions.
Schule in der digitalen Welt
Authors: Buhl Heike , Bonanati Sabrina , Eickelmann Birgit
Published: May 2021

Die Verbreitung digitaler Medien verändert den Schulalltag, was für schulische Akteure ebenso mit Chancen wie mit Herausforderungen verbunden ist. Das Buch nimmt vor dem Hintergrund der aktuellen Diskussion eine realistische Position zu Potenzialen von Mediennutzung in der Schule ein.
Auf Basis psychologischer Theorien und aktueller Befunde erhalten Lehrkräfte konkrete Hinweise, wie Schule und Unterricht lern- und motivationsförderlich gestaltet werden können, damit Schülerinnen und Schüler die erforderlichen digitalen Kompetenzen aufbauen, und wie digitale Medien im Unterricht eingesetzt werden können. Dabei gliedert sich das Buch in drei Teile, in denen jeweils relevante Phänomene und aktuelle Forschungsbefunde als Grundlage für konkret umsetzbare Handlungsoptionen dargestellt werden. Der erste Teil zielt mit dem „Lernen für die digitale Welt“ auf unabdingbare digitale Kompetenzen von Schülerinnen und Schülern ab und zeigt auf, wie diese in der Schule aufgebaut werden können. Der zweite Teil befasst sich mit dem „Lernen in der digitalen Welt“, in der digitale Medien, wie Lernplattformen und LernApps, das schulische und häusliche Lernen unterstützen. Als Hintergrund fungiert der dritte Teil zum „Leben in der digitalen Welt“, in dem erläutert wird, wie Schülerinnen und Schüler digitale Medien in ihrem Alltag nutzen und wie Lehrkräfte mit den damit verbundenen Risiken, z.B. in Form von Ablenkung und Cybermobbing, wie auch Potenzialen, z.B. zur Identitätsentwicklung, umgehen können.
Cheap Sensors Provide Missing Air Quality Data in African Cities
Authors: Wilke Carolyn
Published: May 2021

Calibrated low-cost sensors in Kinshasa and Brazzaville provide new information on pollution and help scientists model a way to improve access to air quality data.
Dynamic functional connectivity and its anatomical substrate reveal treatment outcome in first-episode drug-naïve schizophrenia
Authors: Zhang Zhe , Zhuo Kaiming , Xiang Qiang , Sun Yi , Suckling John , Wang Jinhong , Liu Dengtang , Sun Yu
Published: May 2021

Convergent evidence has suggested a significant effect of antipsychotic exposure on brain structure and function in patients with schizophrenia, yet the characteristics of favorable treatment outcome remains largely unknown. In this work, we aimed to examine how large-scale brain networks are modulated by antipsychotic treatment, and whether the longitudinal changes could track the improvements of psychopathologic scores. Thirty-four patients with first-episode drug-naïve schizophrenia and 28 matched healthy controls were recruited at baseline from Shanghai Mental Health Center. After 8 weeks of antipsychotic treatment, 24 patients were re-scanned. Through a systematical dynamic functional connectivity (dFC) analysis, we investigated the schizophrenia-related intrinsic alterations of dFC at baseline, followed by a longitudinal study to examine the influence of antipsychotic treatment on these abnormalities by comparing patients at baseline and follow-up. A structural connectivity (SC) association analysis was further carried out to investigate longitudinal anatomical changes that underpin the alterations of dFC. We found a significant symptomatic improvement-related increase in the occurrence of a dFC state characterized by stronger inter-network integration. Furthermore, symptom reduction was correlated with increased FC variability in a unique connectomic signature, particularly in the connections within the default mode network and between the auditory, cognitive control, and cerebellar network to other networks. Additionally, we observed that the SC between the superior frontal gyrus and medial prefrontal cortex was decreased after treatment, suggesting a relaxation of normal constraints on dFC. Taken together, these findings provide new evidence to extend the dysconnectivity hypothesis in schizophrenia from static to dynamic brain network. Moreover, our identified neuroimaging markers tied to the neurobiology of schizophrenia could be used as potential indicators in predicting the treatment outcome of antipsychotics.
Differential acute impact of therapeutically effective and overdose concentrations of lithium on human neuronal single cell and network function
Authors: Izsak Julia , Seth Henrik , Iljin Margarita , Theiss Stephan , Ågren Hans , Funa Keiko , Aigner Ludwig , Hanse Eric , Illes Sebastian
Published: May 2021

Lithium salts are used as mood-balancing medication prescribed to patients suffering from neuropsychiatric disorders, such as bipolar disorder and major depressive disorder. Lithium salts cross the blood-brain barrier and reach the brain parenchyma within few hours after oral application, however, how lithium influences directly human neuronal function is unknown. We applied patch–clamp and microelectrode array technology on human induced pluripotent stem cell (iPSC)-derived cortical neurons acutely exposed to therapeutic (<1 mM) and overdose concentrations (>1 mM) of lithium chloride (LiCl) to assess how therapeutically effective and overdose concentrations of LiCl directly influence human neuronal electrophysiological function at the synapse, single-cell, and neuronal network level. We describe that human iPSC-cortical neurons exposed to lithium showed an increased neuronal activity under all tested concentrations. Furthermore, we reveal a lithium-induced, concentration-dependent, transition of regular synchronous neuronal network activity using therapeutically effective concentration (<1 mM LiCl) to epileptiform-like neuronal discharges using overdose concentration (>1 mM LiCl). The overdose concentration lithium-induced epileptiform-like activity was similar to the epileptiform-like activity caused by the GABAA-receptor antagonist. Patch–clamp recordings reveal that lithium reduces action potential threshold at all concentrations, however, only overdose concentration causes increased frequency of spontaneous AMPA-receptor mediated transmission. By applying the AMPA-receptor antagonist and anti-epileptic drug Perampanel, we demonstrate that Perampanel suppresses lithium-induced epileptiform-like activity in human cortical neurons. We provide insights in how therapeutically effective and overdose concentration of lithium directly influences human neuronal function at synapse, a single neuron, and neuronal network levels. Furthermore, we provide evidence that Perampanel suppresses pathological neuronal discharges caused by overdose concentrations of lithium in human neurons.
Evidence of anthropogenic impacts on global drought frequency, duration, and intensity
Authors: Chiang Felicia , Mazdiyasni Omid , AghaKouchak Amir
Published: May 2021

Most climate change detection and attribution studies have focused on mean or extreme temperature or precipitation, neglecting to explore long-term changes in drought characteristics. Here we provide evidence that anthropogenic forcing has impacted interrelated meteorological drought characteristics. Using SPI and SPEI indices generated from an ensemble of 9 CMIP6 models (using 3 realizations per model), we show that the presence of anthropogenic forcing has increased the drought frequency, maximum drought duration, and maximum drought intensity experienced in large parts of the Americas, Africa, and Asia. Using individual greenhouse gas and anthropogenic aerosol forcings, we also highlight that regional balances between the two major forcings have contributed to the drying patterns detected in our results. Overall, we provide a comprehensive characterization of the influence of anthropogenic forcing on drought characteristics, providing important perspectives on the role of forcings in driving changes in drought events.
PD-1 suppresses TCR-CD8 cooperativity during T-cell antigen recognition
Authors: Li Kaitao , Yuan Zhou , Lyu Jintian , Ahn Eunseon , Davis Simon J. , Ahmed Rafi , Zhu Cheng
Published: May 2021

Despite the clinical success of blocking its interactions, how PD-1 inhibits T-cell activation is incompletely understood, as exemplified by its potency far exceeding what might be predicted from its affinity for PD-1 ligand-1 (PD-L1). This may be partially attributed to PD-1’s targeting the proximal signaling of the T-cell receptor (TCR) and co-stimulatory receptor CD28 via activating Src homology region 2 domain-containing phosphatases (SHPs). Here, we report PD-1 signaling regulates the initial TCR antigen recognition manifested in a smaller spreading area, fewer molecular bonds formed, and shorter bond lifetime of T cell interaction with peptide-major histocompatibility complex (pMHC) in the presence than absence of PD-L1 in a manner dependent on SHPs and Leukocyte C-terminal Src kinase. Our results identify a PD-1 inhibitory mechanism that disrupts the cooperative TCR–pMHC–CD8 trimolecular interaction, which prevents CD8 from augmenting antigen recognition, explaining PD-1’s potent inhibitory function and its value as a target for clinical intervention.
RIPK1 is a negative mediator in Aquaporin 1-driven triple-negative breast carcinoma progression and metastasis
Authors: Yin Zhuming , Chen Wenlin , Yin Jian , Sun Jingyan , Xie Qianrong , Wu Min , Zeng Fanxin , Ren Huiwen
Published: May 2021

The triple-negative breast carcinoma (TNBC) is the most aggressive subtype of breast cancer. In TNBC, Aquaporin 1 (AQP1), a water-transporting transmembrane protein, is aberrantly enriched in cytoplasm and causes tumor cell death evasion. However, the carcinogenetic bioactivities of cytoplasmic AQP1 cannot be attributed to the canonical “osmotic engine model”. In the present study, the receptor-interacting protein kinase 1 (RIPK1), a cell death regulator, was identified to negatively mediate AQP1-driven TNBC progression and metastasis. AQP1 overabundance and RIPK1 depletion occurred in TNBC, which were correlated with aggressive oncological features and poor prognosis. AQP1 bound with RIPK1, resulting in the inhibition of RIPK1/RIPK3/MLKL-mediated necroptosis and RIPK1/caspase-8/caspase-3-mediated apoptosis. Genetic inhibition of RIPK1 significantly exacerbated the pro-tumor effect of AQP1, while ectopic expression of RIPK1 notably blunted AQP1 signaling. Mechanistically, AQP1 binds to the D324 site of RIPK1, and facilitates RIPK1 cleavage and inactivation by excessively activating the caspase-8/RIPK1 negative feedback loop. RIPK1D324K overexpression significantly prevented RIPK1 cleavage and weakened the aggressiveness of AQP1-enriched TNBC cells. Overall, our findings clarify the underlying mechanism of cytoplasmic AQP1-driven TNBC progression and metastasis, in which RIPK1 exerts an essential role as a negative mediator and exhibits the potential as a therapeutic target for TNBC.
Revealing the activation mechanism of autoinhibited RalF by integrated simulation and experimental approaches
Authors: Dudas Balint , Perahia David , Balog Erika
Published: May 2021

RalF is an Arf GEF from Legionella pneumophilia, the bacterium that causes severe pneumonia. In its crystal structure, RalF is in the autoinhibited form. A large-scale domain motion is expected to lift the autoinhibition, the mechanism of which is still unknown. Since RalF is activated in the presence of the membrane, its active structure and the structure of the RalF-Arf1 complex could not have been determined experimentally. On the simulation side, it has been proven that classical Molecular Dynamics (MD) alone is not efficient enough to map motions of such amplitude and determine the active conformation of RalF. In this article, using Molecular Dynamics with excited Normal Modes (MDeNM) combined with previous experimental findings we were able to determine the active RalF structure and the structure of the RalF-Arf1 complex in the presence of the membrane, bridging the gap between experiments and simulation.
Covalently bonded surface functional groups on carbon nanotubes: from molecular modeling to practical applications
Authors: Benko Aleksandra , Duch Joanna , Gajewska Marta , Marzec Mateusz , Bernasik Andrzej , Nocuń Marek , Piskorz Witold , Kotarba Andrzej
Published: May 2021

Investigating the effect of chemical functionalization on the MWCNTs' electronic properties, and their influence on the course and the results of the electrophoretic deposition process.
A multifunctional substance P-conjugated chitosan hydrochloride hydrogel accelerates full-thickness wound healing by enhancing synchronized vascularization, extracellular matrix deposition, and nerve regeneration
Authors: Li Hao , Li Mengna , Liu Pei , Wang Kaiyang , Fang Haoyu , Yin Junhui , Zhu Daoyu , Yang Qianhao , Gao Junjie , Ke Qinfei , Yu Hongping , Guo Yaping , Gao Youshui , Zhang Changqing
Published: May 2021

The CSCl–SP hydrogel is a multifunctional platform with an ideal capacity to dramatically promote full-thickness wound healing by enhancing angiogenesis, extracellular matrix deposition and remodelling, and nerve fibre growth.
Development of novel GnRH and Tat48–60 based luminescent probes with enhanced cellular uptake and bioimaging profile
Authors: Kougioumtzi Anastasia , Chatziathanasiadou Maria V. , Vrettos Eirinaios I. , Sayyad Nisar , Sakka Mariana , Stathopoulos Panagiotis , Mantzaris Michalis D. , Ganai Ab Majeed , Karpoormath Rajshekhar , Vartholomatos Georgios , Tsikaris Vassilios , Lazarides Theodore , Murphy Carol , Tzakos Andreas G.
Published: May 2021

Herein, we developed novel near infrared cancer targeted and photostable chromophores for bioimaging with respect to current organic fluorophores.
Seed-mediated growth of high yield Au nanoplates with in situ generated Au clusters through galvanic replacement
Authors: Wang Tianxiang , Huangfu Yucui , Huang Bintong , Li Jing , Miao Longfei , Zhai Yueming
Published: May 2021

High yield Au nanoplates with a tunable morphology are simply synthesized with Au nanoclusters as seeds which are produced by an in situ galvanic exchange reaction.
Long-term effects of TBBPA-contaminated pyrogenic organic matter under abiotic aging: insights on immobilization capacity, surface functionality correlation, and phytotoxicity to Thinopyrum ponticum
Authors: Shen Jian , Huang Guohe , An Chunjiang , Yao Yao , Zhang Peng , Xin Xiaying , Rosendahl Scott
Published: May 2021

Surface functional groups and the resultant changes in adsorption performance can be changed by long-term effects on pyrogenic organic matters with TBBPA, causing impacts to native vegetations.
Comparison of allergenicity among cow, goat, and horse milks using a murine model of atopy
Authors: Duan Cuicui , Ma Lin , Cai Lin , Li Xiaolei , Ma Fumin , Chen Junliang , Huo Guicheng , Li Dan
Published: May 2021

Systematic and comprehensive study on the differences of allergenicity among cow milk, goat milk, and horse milk.
S-equol, a metabolite of dietary soy isoflavones, alleviates lipopolysaccharide-induced depressive-like behavior in mice by inhibiting neuroinflammation and enhancing synaptic plasticity
Authors: Lu Cong , Gao Rongjing , Zhang Yingyu , Jiang Ning , Chen Ying , Sun Jing , Wang Qiong , Fan Bei , Liu Xinmin , Wang Fengzhong
Published: May 2021

The present study was conducted to evaluate the antidepressant-like effects of S-equol in a lipopolysaccharide-induced depression model in mice and explore its underlying mechanisms.
Polyisoprenylated benzophenone derivatives from Garcinia cambogia and their anti-inflammatory activities
Authors: Feng Zheling , Chen Jiali , Feng Lu , Chen Cheng , Ye Yang , Lin Ligen
Published: May 2021

Ten new polyisoprenylated benzophenones were identified from the fruits of Garcinia cambogia by chromatographic and spectroscopic methods. 4,8-epi-Uralione F inhibited nitric oxide production through inhibiting the activation of nuclear factor-κB.
2D oriented covalent organic frameworks for alcohol-sensory synapses
Authors: Li Teng , Yu Hongliang , Xiong Ziyu , Gao Zhan , Zhou Ye , Han Su-Ting
Published: May 2021

2D oriented covalent organic frameworks film can control the conductive filaments and improve the performance and stability of devices.
Asymmetric bis(oxazoline)–Ni(ii) catalyzed α-hydroxylation of cyclic β-keto esters under visible light
Authors: Yin Hao , Wang Chao-Jie , Zhao Yu-Gen , He Zi-Yang , Chu Ming-Ming , Wang Yi-Feng , Xu Dan-Qian
Published: May 2021

Driven by light, a highly enantioselective α-hydroxylation of β-keto esters catalyzed by bis(oxazoline)–Ni(acac)2 complexes under an O2 atmosphere has been developed.
Binding of thermalized and active membrane curvature-inducing proteins
Authors: Goutaland Quentin , van Wijland Frédéric , Fournier Jean-Baptiste , Noguchi Hiroshi
Published: May 2021

Using analytical and numerical approaches, we find that equilibrium binding of membrane curving proteins on a membrane generates a phase-separated and corrugated phase. Active binding shifts its stability and makes the protein aggregates porous.
Droplet impact on pillar-arrayed non-wetting surfaces
Authors: Wang Long-Zan , Zhou An , Zhou Jin-Zhi , Chen Longquan , Yu Ying-Song
Published: May 2021

In this work, a novel model accounting for the penetration of a liquid into the cavities between pillars has been proposed to predict the upper limit of impact velocity of bouncing droplets.
Vincristine attenuates cardiac fibrosis through the inhibition of NLRP3 inflammasome activation
Authors: Ge Chenliang , Cheng Yang , Fan Yihao , He Yan
Published: May 2021

Vincristine (VCR) is widely used in cancer therapies, although its benefits on cardiac fibrosis remain unknown. Here, we investigated VCR’s efficacy on cardiac fibrosis and elucidated the underlying mechanism of action. Network pharmacology was employed to predict the mechanism of VCR action on cardiac fibrosis. We induced cardiac fibrosis in adult male Sprague–Dawley (SD) rats via isoproterenol (ISO) injection, followed by treatment with VCR or vehicle. After 10 days of treatment, VCR-treated rats exhibited a significantly lower heart/body weight ratio relative to those treated with the vehicle. Moreover, cardiac fibrosis was alleviated in VCR-treated rats relative to vehicle-treated rats. The results revealed the down-regulation of mature caspase-1, interleukin (IL)-1β, and IL-18 in VCR-treated rats relative to vehicle-treated rats. We also observed less colocalization between the nucleotide-binding domain, leucine-rich repeat, and pyrin domain-containing protein 3 (NLRP3) and apoptosis-associated speck-like protein containing a CARD (ASC) in VCR-treated rats compared with vehicle-treated rats. We then cultured neonatal rat cardiac fibroblasts (NRCFs) and exposed them to lipopolysaccharide (LPS) and adenosine triphosphate (ATP) in the presence or absence of VCR. The results indicated that VCR mediated the down-regulation of caspase-1, IL-1β, and IL-18 and the colocalization of NLRP3 and ASC in LPS+ATP-stimulated cardiac fibroblasts (CFs). We found evidence that VCR attenuates cardiac fibrosis by directly suppressing the activation of the NLRP3 inflammasome. These findings provide novel insights into VCR’s mechanism of action in alleviating cardiac fibrosis.
Combined hydrodynamic and gas-grain chemical modeling of hot cores
Authors: Barger C. J. , Lam K. H. , Li Z.-Y. , Davis S. W. , Herbst E. , Garrod R. T.
Published: May 2021

Context. Gas-grain models have long been employed to simulate hot-core chemistry; however, these simulations have traditionally neglected to couple chemical evolution in tandem with a rigorous physical evolution of a source. This over-simplification particularly lacks an accurate treatment of temperature and spatial distribution, which are needed for realistic simulations of hot cores.

Aims. We aim to combine radiation hydrodynamics (RHD) with hot-core chemical kinetics in one dimension to produce a set of astrochemical models that evolve according to explicitly calculated temperature, density, and spatial profiles.

Methods. We solve radiation hydrodynamics for three mass-accretion-rate models using Athena++. We then simulate the chemistry using the hot-core chemical kinetic code MAGICKAL according to the physics derived from the RHD treatment.

Results. We find that as the mass-accretion rate decreases, the overall gas density of the source decreases. In particular, the gas density for the lowest mass-accretion rate is low enough to restrict the proper formation of many complex organic molecules. We also compare our chemical results in the form of calculated column densities to those of observations toward Sgr B2(N2). We find a generally good agreement for oxygen-bearing species, particularly for the two highest mass-accretion rates.

Conclusions. Although we introduce hot-core chemical modeling using a self-consistent physical treatment, the adoption of a two-dimensional model may better reproduce chemistry and physics toward real sources and thus achieve better chemical comparisons with observations.
Statistical strong lensing
Authors: Sonnenfeld Alessandro , Cautun Marius
Published: May 2021

Context.The number of known strong gravitational lenses is expected to grow substantially in the next few years. The combination of large samples of lenses has the potential to provide strong constraints on the inner structure of galaxies.

Aims.We investigate the extent to which we can calibrate stellar mass measurements and constrain the average dark matter density profile of galaxies by combining strong lensing data from thousands of lenses.

Methods.We generated mock samples of axisymmetric lenses. We assume that, for each lens, we have measurements of two image positions of a strongly lensed background source, as well as magnification information from full surface brightness modelling, and a stellar-population-synthesis-based estimate of the lens stellar mass. We then fitted models describing the distribution of the stellar population synthesis mismatch parameterαsps(the ratio between the true stellar mass and the stellar-population-synthesis-based estimate) and the dark matter density profile of the population of lenses to an ensemble of 1000 mock lenses.

Results.We obtain the averageαsps, projected dark matter mass, and dark matter density slope with greater precision and accuracy compared with current constraints. A flexible model and knowledge of the lens detection efficiency as a function of image configuration are required in order to avoid a biased inference.

Conclusions.Statistical strong lensing inferences from upcoming surveys provide a way to calibrate stellar mass measurements and to constrain the inner dark matter density profile of massive galaxies.
A Quantitative Risk Assessment Method of New Energy Civil Aircraft Program Based on RBS
Authors: Wang Lei , Zhang Bi-qian
Published: May 2021

New energy aircraft is a trend of aircraft development in the future. More and more countries and enterprises have carried out relevant research. This article summarizes the characteristics of the civil aircraft program life cycle development and combining with the technical characteristics of new energy aircraft, this risk management method based on RBS is proposed. Through analytic hierarchy process (AHP), quantitative assessment of the total risk of the project, this method can comprehensively quantitatively identify the typical risks in the whole life cycle, provide a feasible method for risk management of the new energy civil aircraft project.
Microbial Fuel Cell for Renewable Energies Generation from Manure Treatment
Authors: Sun Yuanpeng , Huang Tianxu , Kang Mai , Cai Zhijia
Published: May 2021

In the process of society, high-density livestock farms have developed rapidly to satisfy the increasing demand for meat products. Excessive wastewater from the livestock farms accordingly brought multiple pollution and deteriorate the environment, with the wastewater containing abundant chemical energy regarded as futility. Furthermore, the ingredients of wastewater varied from distinct livestock farms as a result of different animal feeding habits. Consequently, it is a necessity for specific wastewater treatment applied to a certain farm to control various pollution incidents while effectively recovering the potential chemical energy in wastewater. Microbial fuel cell, a device that converts chemical energy in the organic matter directly into electrical energy by a microorganism, is expected to be integrated with the existing wastewater treatment systems to make up for the shortcomings of existing technologies, improve the treatment efficiency and energy recovery rate. Therefore, it is a predictable trend for the microbial fuel cell to be combined with the traditional farm wastewater treatment system. This article demonstrates two traditional manure treatment methods: composting and biogas fermentation, followed by an evaluation of four advanced wastewater treatment technologies merged with microbial fuel cell. It is concluded that incorporating microbial fuel cells with separate wastewater treatment system will be a consequential sustainable development strategy in the future, with the purpose of fecal water treatment and energy recovery efficiently achieved.
Study on Adsorption and Separation of Gas in Metal-organic Framework Materials Based on Density Functional Theory
Authors: Zhehua Du , Xin Lin
Published: May 2021

This article reviews the recent progress on predicting the adsorption properties of metal-organic framework by using classical density functional theory and focused on the application of the classical density functional theory to the high-throughput screening, which is accelerated by fast Fourier Transform. Comparing to the conventional molecular simulations, the advantage of the accelerated classical density functional theory is the calculation speed, especially for simple small molecule systems, which makes the high-throughput screening on MOF materials feasible. However, it appears that there is a lack of efficient method to deal with the complicated molecules. How to construct a reasonable free energy functional of complicated fluid is the main challenge to state of art classical density functional theory. In a word, the improvement of CDFT theory and the combination of CDFT and molecular simulation are the two main ways for CDFT to predict gas adsorption in MOF.
Cooperative optimal configuration of electricity storage and heat storage based on particle swarm optimization
Authors: Cheng Te , Xu Fei , Hao Ling , Chen Lei , Chen Qun , Min Yong
Published: May 2021

During the heating season in my country’s Three Norths, the operation mode of “using heat to determine electricity” for cogeneration units has made the “wind curtailment rate” high. Electricity storage and heat storage are both important ways to solve this problem. In order to determine the optimal power and capacity of heat storage and power storage devices, this paper proposes a two-layer optimization model that considers the economic benefits of the entire system and the life of the power storage device is affected by its operation. Comsidering the iterative life of the power storage device, the optimal solution for the power, capacity and location of the heat storage and power storage device is obtained by using the particle swarm algorithm. Finally, the actual data of the IEEE classic 33-node system verifies the effectiveness of the proposed method.
The implementation of self-healing system and the optimization of PT setting schemes for 110kV substations in the 110kV chain structure
Authors: Cheng Rong , Chai Linjie , Hu Shiyao , Lin Rong , Guo Jia , Li Yan
Published: May 2021

At present, developed cities such as Shanghai and Beijing, chain structure is mostly used in 110kV grids. There is a controversy for the implementation of the self-healing system and the PT layout scheme. By analyzing the role of self-healing system and its action logic, this paper gives the role of voltage value in the self-healing system. By comparing the reliability, floor area and investment of various PT arrangements, this paper proposes a PT setting recommendation plan, and analyzes the feasibility of the plan.
Failure Analysis and Reinforcement of 3D-printed Concrete Envelope Structure Based on Phase-field Theory (PFT)
Authors: Xiao Fu , Jie Wu
Published: May 2021

The permanent 3D-printed concrete envelope formwork can realize the personalized printing of special-shaped envelope structures efficiently with a high degree of automation and obvious advantages. This paper calculated the load-bearing characteristics of the 3D-printed concrete envelope formwork and analyzed the influence of steel supports on its load-bearing characteristics based on PFT. The study showed that the structure would have the highest bearing capacity when the position of steel support reinforcement was near the bisected point of the structure and close to the resultant point of the external load; steel support reinforcement could increase the bearing capacity of structures by nearly 5 times; compared with the single support, the double support could increase the same by nearly 3 times; and triple support reinforcement played a limited role in the improvement of the bearing capacity of structures.
Numerical Analysis of Thermal Management for High Power LED Array
Authors: Shen Yingdong , Dai Junfeng , Wang Yanlong
Published: May 2021

Adequate thermal management to remove and dissipate the heat produced by the LED is one of the main challenges in designing LED applications. In view of the above problems, this paper analyzed a heat sink as a heat exchanger for the LED array via the experiment combined with the numerical simulation. The results show that the heat sink is necessary for the LED array to guarantee reliable and safe operation. Moreover, the influence of the height of heat sink on the heat transfer of the LED array is also analyzed, and the optimized height of the heat sink for the 20W LED array is 20 mm. Considering the heat transfer and the manufacturing cost, increasing the heat sink area blindly is not the best way to reduce the LED junction temperature, and more specific work should be considered.
Research on Interruptible Load participating in electricity and reserve joint market
Authors: Huang Haiyu , Wang Chunming , Xia Shaolian , Xiong Huaqiang , Jiang Baofeng , Liu Dunnan , Yuan Gao
Published: May 2021

There is a shortage of power supply in multi provincial power grid during peak load period. The response speed of interruptible load is fast, and it has the same excellent regulation performance as the standby on the generation side, which can meet the needs of fast transfer. Aiming at the situation of interruptible load participating in the joint market under the bilateral mode, this paper designs the joint clearing process of electric energy and reserve market considering interruptible load, and establishes the joint clearing model considering interruptible load participating in electric energy and reserve market with the goal of maximizing social welfare. Simulation results verify the effectiveness of the proposed model.
Experimental Research on the Efficiency of Impulse Turbine Based on Ultrasonic Flow Measurement Method
Authors: Liu JianWei , Wang Liang , Luo XiaoJing
Published: May 2021

In this paper, we studied the impulse turbine of a power station based on the ultrasonic flow measurement method. Efficiency tests were carried out on the nozzle head, nozzle needle and deflector disc spring of the unit before and after the transformation. The results showed that the absolute efficiency of the unit before and after the transformation was basically the same. The efficiency value and economic performance have been improved to a certain extent, and the results obtained by using the ultrasonic method to carry out the unit efficiency test are correct and credible.
Research on Irreversible Growth Mechanism of PBX due to Thermal Cycling
Authors: Lei Siyang , Wang Shuo , Lu Fangyun , Chen Rong
Published: May 2021

Current experiments show that the TATB-based polymer bonded explosives (PBX) will experience irreversible growth when suffered temperature cycling load. Although some studies have already been done on this, the cause of irreversible growth is still confusing, and the mechanism is not clear. In order to study the irreversible growth of PBX under temperature cycling load, an thermal-viscoelastic model is established, Based on the Burgers model which considering the influence of different temperatures on the creep properties of PBX. The analysis shows that the irreversible growth of PBX produced by the different creep properties of high and low temperature during the thermal cycling. Comparing with low temperature, the creep rate of PBX is faster and the deformation is larger at high temperature, which lead to the irreversible growth of PBX.
Clean energy consumption mechanism based on multi-energy transactions with electric heating
Authors: Xue Guiyuan , Wu Chen , Niu Wenjuan , Dou Xun , Wang Shizhen
Published: May 2021

The comprehensive utilization of multi-energy is an important means to promote the high proportion of clean energy consumption in the region. This paper proposes a clean energy absorption mechanism based on electric heating to participate in multi-energy trading, which is applied to the transaction and operation optimization of energy terminals. In this paper, the scheduling framework of energy terminal is constructed first, and then the optimal scheduling model of energy terminal based on electric heating participating in multi-energy trading is established to promote clean energy consumption through collaborative optimization of multi-energy coupling equipment. The economic dispatch of energy terminal to all kinds of energy is realized. Finally, a test example is constructed to verify the operation economy and clean energy absorption rate of the energy terminal. The simulation shows that the proposed method can not only improve the clean energy absorption rate of the energy terminal, but also improve the operation economy of the system, and verify the effectiveness of the proposed method.
Research on electrical automation teaching reform based on artificial intelligence and virtual simulation technology
Authors: Huo Yan , Hou Jie
Published: May 2021

With the rapid development of modern science and technology, electrical automation becomes more and more important in the development of manufacturing industry. In the actual production activities, the application of artificial intelligent and virtual simulation technology in electrical engineering not only improves automation operation level, and reduces the cost and the error of manual operation, but also profits reasonable allocation for enterprise resources. In recent years, the demand for talents with new automation technology is increasing. Therefore, an innovative model of automation teaching reform based on information technology including artificial intelligent and virtual simulation technology is established to constitute an oriented training system from aspects of teaching and learning. Information technology plays an increasingly important role in the field of engineering training. The effective combination of electrical product, virtual simulation and intelligent technology can enhance the application value of teaching method and meet the practical needs of future engineering construction.
Analysis and Performance Evaluation of Casting Inclusions in the Reactor Coolant Pump Casing of Nuclear Power Plant
Authors: Luo Xiaohui , Yang Jie , Song Li , Xu Dezhong
Published: May 2021

The casting quality of the coolant pump casing of the nuclear power plant reactor is directly related to the operational reliability and safety of the nuclear main pump, and plays a key role in the integrity of the pressure-bearing boundary of the reactor primary loop. In this paper, aiming at the low impact performance of the sample during the casting process of the main pump casing of a nuclear power plant, through using failure analysis tools like fishbone diagram from multiple dimensions such as material selection, design and technology, melting analysis, pouring process, riser design, and heat treatment process, and combining with metal macro-fracture analysis and micro-electron microscopy scanning methods for cause analysis, finally, it was found that the basic reason for the low impact performance of the pump shell is that the secondary inclusions appear on the fracture of the sample during the solidification of the molten steel. Using test-retest inspection and finite element mechanics simulation analysis, the comprehensive evaluation of the impact performance of the sample was obtain, which provides an effective solution for the analysis and evaluation of casting inclusions in water pumps of nuclear power plants, and also provides an important reference for the structural optimization and equipment research and development of water pump equipment of nuclear power plants.
The Application Research on Safety performance Evaluation of Portal Crane based on Reliability Evaluation and risk Assessment
Authors: Qin Li , Zhang Bin , Li Xinren , Huang Zheng-qiu
Published: May 2021

With the continuous development of modern industry in our country, the use of cranes is becoming more and more common, but the unsafe incidents of cranes occur from time to time, which makes the risk assessment of cranes more and more important. Crane risk assessment has become an important part of crane risk management. In order to further promote the development of crane risk management, this paper tests the feasibility and effectiveness of this method through the study of fuzzy safety evaluation method and the direct application of this method to the risk assessment of portal crane.
Study on Vibration Control of Double Motor Refrigeration Unit in Nuclear Power Plant
Authors: Yuan Liang , Zhan Shuwen , Chen Heyang , Bai Jinchuan , Cai Rui , Kong Xiangyong , Xu Zhangnan
Published: May 2021

In order to solve the problem of excessive vibration during the operation of the refrigeration unit in nuclear power plant, taking the double motor refrigeration unit in operation as the research object, we studied the effective measures to reduce the vibration and improve the stiffness of the double motors in the near resonance region. On the basis of theoretical calculation, the weaknesses of the equipment stiffness were reinforced and reconstructed, and the secondary analysis and calculation of the stiffness and seismic performance of the reformed refrigeration unit were carried out to determine the feasibility of the optimization scheme. Based on the analysis, we optimized the equipment. After that, there was a significant decrease in the vibration of the refrigeration unit. The vibration measurement results indicated that the vibration value of the unit has dropped to the qualified range, effectively avoiding the equipment damage caused by excessive vibration. We provided a complete set of analysis ideas for the research and solution of vibration problems of rotating equipment in nuclear power plant.
Prediction of PM2.5 Purification Time of Air Purifier under High Elevation Angle and High Wind Speed
Authors: Jin WuFeng , Wang Cheng , Shi Chong , Wang Zhiqiang
Published: May 2021

In order to achieve the best purification effect of PM2.5 at different personnel positions, it is necessary to study the PM2.5 purification time at different personnel positions in the room when the influence factors change, and establish a prediction model of the purification time.In this paper, air purifier and room models were established for simulation research. Purification time of air purifier at different locations in the room was taken as regression data, and multiple linear regression method was adopted to obtain the relationship between each impact factor and PM2.5 purification time, and a prediction model of PM2.5 purification time at different personnel locations in the room was proposed.The results of this study provide a theoretical basis for putting forward the whole intelligent scheme of air purifier.
Multi-Step Finite Control Set Model Predictive Control For Three-level APF
Authors: Zong DeJiYang , Hu Shifeng , Yang XuGuang
Published: May 2021

Compared with the two-level APF, the three-level neutral point clamped (ANPC) has more output levels, less harmonic influence, and lower equipment loss in the process of harmonic compensation. However, due to the conservatism of single-step prediction, it can only provide the reliability at k+1 time, and it does not provide the relevant information for the next time optimal. Moreover, the control of threelevel APF needs to consider multiple targets at the same time, which will cause certain tracking error. In this paper, a multi-step prediction method is proposed. The optimal and suboptimal switching states at k+1 are obtained by cycling. The optimal switching states in two control cycles can be obtained by substituting the optimal switching states at k+2. The method improves the reliability of the control process, and the simulation results show that the harmonic content of the power grid is low, which meets the relevant requirements.
Principle design of regional energy optimal allocation
Authors: Li Congcong , Wang Qing , Zhu Hongxia , Wang Xinping , Yu Chao , Wang Zhixue , Guo Wei
Published: May 2021

As the proposal of energy internet and intelligent energy, the utilization of energy and the energy categories has become more and more diverse. This paper redefines the concept of multi energy interconnection network, and divides local energy network, regional energy network and wide area energy network. In the planning and construction of energy interconnection network, the very important work is the optimal allocation of energy. In order to better allocate energy, we need to abide by specific principles, but there are few literatures on energy allocation principles. Taking the regional energy network as the research object, several principles of energy optimal allocation in the regional energy network are designed, and each principle is explained in detail. Finally, principles can provide reference for the planning and construction of regional men.
BI warehousing system based on big data
Authors: Lin Xiangming , Liu Kai , Li Yixuan
Published: May 2021

In the wave of informatization, the data generated by enterprise operations has increased rapidly, prompting the intelligent development of enterprise warehousing systems. In the development of BI warehousing systems, the application of big data technology can promote the rapid development of business intelligence warehousing systems. The application of big data technology in the BI warehousing system can improve the service quality of the data intelligence of the warehousing system. Based on data, it provides support for corresponding decision-making, thereby improving the enterprise data management system. Therefore, this article mainly conducts research and analysis on the construction of BI warehousing system under the application of big data technology, and aims to provide a certain reference value for similar events in the future through a detailed explanation of the current situation of BI warehousing system construction and big data technology application.
Research Progress of Rotating Machinery Fault Diagnosis Based on Deep Learning
Authors: Du Zhehua , Lin Xin
Published: May 2021

In modern production, the precision and the importance of rotating machinery is higher and higher in the direction of large-scale, high speed and automation development, so that the traditional fault diagnosis methods are insufficient to deal with massive, multi-source and high-dimensional data, cannot meet the requirements of security and reliability. Therefore, several typical deep learning models are briefly introduced at first and the application of deep learning in fault diagnosis of rotor system, gear box and rolling bearing in recent years is studied and analyzed based on its strong feature extraction ability and advantages of clustering analysis. Finally, the advantages and disadvantages of deep learning model are summarized and the fault diagnosis methods of rotating machinery are summarized and prospected based on engineering practice.
Design and Implementation of University Central Kitchen Logistics Management System
Authors: Huang Quanzhou
Published: May 2021

In order to improve the level and efficiency of university catering management, the central kitchen model is introduced into university catering logistics management, and on this basis, the logistics management information system based on central kitchen mode is proposed. This paper first analyzes the shortcomings of traditional college food management mode and introduces the concept, factors and characteristics of the central kitchen management mode. Then the requirements of the central kitchen management system are analyzed comprehensively and the requirements are modeled by UML. Combining the central kitchen management mode with information technology, the realization scheme and technical route of the system are discussed. The software structure, data model and workflow of the system are designed. Based on the above design and B/S mode, we developed the corresponding software system. The results show that the system improves the work efficiency and reduces the cost. The university logistics management system based on central kitchen has high practical value and application prospect.