Dalian Institute of Science and Technology

INTRODUCTION: Eating breakfast has been proved to positively influence human health. However, evidence for the association between breakfast consumption and depressive symptoms is lacking, especially among young adults. The aim of this study was to determine whether breakfast consumption is associated with depressive symptoms among Chinese university students. METHODS: A cross-sectional study involving 10,174 undergraduate students (6,287 males and 3,887 females) was conducted in 2015. Breakfast consumption was assessed using a self-reported questionnaire. Depressive symptoms were assessed using the Zung self-rating depression scale (SDS) score. Three cut-off values of the SDS score (40, 45, and 50) were used to assess the severity of the depressive symptoms. Logistic regression models were used to analyze the association between the frequency of breakfast consumption and depressive symptoms. RESULTS: The mean SDS score was 37.1±8.0 in present study. In crude model, a higher frequency of breakfast consumption was primarily associated with a lower prevalence of depressive symptoms in all three SDS groups (p = 0.001, < 0.001, = 0.009 for SDS cut-off value 40, 45, and 50 points, respectively). These associations remained significant after adjustment for confounding factors. CONCLUSIONS: A higher frequency of breakfast consumption was strongly associated with a lower prevalence of depressive symptoms among Chinese university students. These results corroborate the evidence that the habit of eating breakfast may be beneficial to mental health.

We examine the parameter space of the two-Higgs-doublet model of type II after imposing the relevant theoretical and experimental constraints from the precision electroweak data, $B$-meson decays, and the LHC run I and run II data. We find that the searches for Higgs bosons via the ${\ensuremath{\tau}}^{+}{\ensuremath{\tau}}^{\ensuremath{-}}$, $WW$, $ZZ$, $\ensuremath{\gamma}\ensuremath{\gamma}$, $hh$, $hZ$, $HZ$, and $AZ$ channels can give strong constraints on the $CP$-odd Higgs $A$ and heavy $CP$-even Higgs $H$, and the parameter space excluded by each channel is respectively carved out in detail assuming that either ${m}_{A}$ or ${m}_{H}$ are fixed to 600 or 700 GeV in the scans. The surviving samples are discussed in two different regions. (i) In the standard model--like coupling region of the 125 GeV Higgs, ${m}_{A}$ is allowed to be as low as 350 GeV, and a strong upper limit is imposed on $\mathrm{tan}\ensuremath{\beta}$. ${m}_{H}$ is allowed to be as low as 200 GeV for the appropriate values of $\mathrm{tan}\ensuremath{\beta}$, $\mathrm{sin}(\ensuremath{\beta}\ensuremath{-}\ensuremath{\alpha})$, and ${m}_{A}$, but is required to be larger than 300 GeV for ${m}_{A}=700\text{ }\mathrm{GeV}$. (ii) In the wrong-sign Yukawa coupling region of the 125 GeV Higgs, the $b\overline{b}\ensuremath{\rightarrow}A/H\ensuremath{\rightarrow}{\ensuremath{\tau}}^{+}{\ensuremath{\tau}}^{\ensuremath{-}}$ channel can impose the upper limits on $\mathrm{tan}\ensuremath{\beta}$ and $\mathrm{sin}(\ensuremath{\beta}\ensuremath{-}\ensuremath{\alpha})$, and the $A\ensuremath{\rightarrow}hZ$ channel can give the lower limits on $\mathrm{tan}\ensuremath{\beta}$ and $\mathrm{sin}(\ensuremath{\beta}\ensuremath{-}\ensuremath{\alpha})$. ${m}_{A}$ and ${m}_{H}$ are allowed to be as low as 60 and 200 GeV, respectively, but $320\text{ }\mathrm{GeV}&lt;{m}_{A}&lt;500\text{ }\mathrm{GeV}$ is excluded for ${m}_{H}=700\text{ }\mathrm{GeV}$.

In the practical application of rail transit, it is difficult to obtain bearing fault data and the training data of fault diagnosis model is insufficient, which leads to the low accuracy and generalization ability of fault diagnosis model. In this paper, a new bearing fault diagnosis method based on transfer learning is proposed. Based on transfer learning, we introduce L1 regularization, then adds it to the Long Short-Term Memory (LSTM) classification model, and uses a small amount of target domain data to fine tune the parameters of the model, and finally constructs a bearing fault diagnosis model. In this paper, the bearing data set of Case Western Reserve University is used to test the bearing fault diagnosis model. Compared with the conventional LSTM, Gated Recurrent Unit (GRU) and Bi-LSTM, the model proposed in this paper has higher accuracy in fault diagnosis as well as certain reliability and generalization ability.

Test data generation is a key part in software test area and it is of significance to realize the automation of software testing. The main contribution of this paper lies in that a practical model, which utilizes genetic algorithms as searching policy to generate software structural test data, is proposed. To achieve higher performance, such issues as encoding strategy, algorithms operator evolution, evaluation function construction and instrumentation are addressed in detail, a new method of initialization of population is introduced in order to make the initial population has higher adaptability, and much emphasis is put on algorithms operator evolution, which is a key factor which can highly affect algorithms efficiency, finally, the results show that the application of genetic algorithms in software test data generation is more efficient compared with other methods.

To test different car’s noise in a semi-anechoic room with different engine’s speed, measure and analysis engine noise’s characteristics and the dash panel’s sound insulation quantity. The conclusion is that：the engine noise gets bigger 10 dB(A) when engine speeds up every 1000 r/min; engine noise’s frequency mainly distributed in 1600 ~ 4000 Hz; peak part concentrates in the range 100 ~ 400 Hz; engine noise has no direct relation to engine’s displacement; cab noise frequency mainly concentrated in the range 250 ~ 630 Hz and the peaks exist in the intermediate and low frequency part, the high frequency part attenuates obviously which show the car’s dash panel has a good noise insulation and absorption effect in the high frequency part but not too ideal at the intermediate and low frequency especially in the range 250 ~ 630 Hz. These results have high practical value for the design of the automotive to decline noise and vibration.

OBJECTIVE: Although several studies report a relationship between breakfast consumption and physical fitness, results are inconsistent and lack evidence in young adults. The objective of this study was to investigate the relationship between frequency of breakfast consumption and physical fitness among college students. METHODS: This cross-sectional study investigated 10,125 Chinese college students (6251 male, 3874 female participants) who underwent physical examinations in 2015. Breakfast consumption was assessed using a self-reported questionnaire. Physical fitness was evaluated by grip strength and 50-meter sprint. RESULTS: After adjusting for confounding factors, a significantly positive association was observed between frequency of breakfast consumption and grip strength (p < .001 for both sexes). Frequent breakfast consumption also was associated with faster sprint times in male and female participants (p < .001, and .002 respectively). CONCLUSIONS: We found that frequent breakfast consumption is significantly associated with higher grip strength and faster sprint times in Chinese college students.

Ant colony optimization (ACO) algorithm is a new heuristic algorithm which has been demonstrated a successful technology and applied to solving complex optimization problems. But the ACO exists the low solving precision and premature convergence problem, particle swarm optimization (PSO) algorithm is introduced to improve performance of the ACO algorithm. A novel hybrid optimization (HPSACO) algorithm based on combining collaborative strategy, particle swarm optimization and ant colony optimization is proposed for the traveling salesman problems in this paper. The HPSACO algorithm makes use of the exploration capability of the PSO algorithm and stochastic capability of the ACO algorithm. The main idea of the HPSACO algorithm uses the rapidity of the PSO algorithm to obtain a series of initializing optimal solutions for dynamically adjusting the initial pheromone distribution of the ACO algorithm. Then the parallel search ability of the he ACO algorithm are used to obtain the optimal solution of solving problem. Finally, various scale TSP are selected to verify the effectiveness and efficiency of the proposed HPSACO algorithm. The simulation results show that the proposed HPSACO algorithm takes on the better search precision, the faster convergence speed and avoids the stagnation phenomena.

To precisely track the reactor temperature in the entire working condition, the constrained Hammerstein-Wiener model describing nonlinear chemical processes such as in the continuous stirred tank reactor (CSTR) is proposed. A predictive control algorithm based on the Kalman filter for constrained Hammerstein-Wiener systems is designed. An output feedback control law regarding the linear subsystem is derived by state observation. The size of reaction heat produced and its influence on the output are evaluated by the Kalman filter. The observation and evaluation results are calculated by the multistep predictive approach. Actual control variables are computed while considering the constraints of the optimal control problem in a finite horizon through the receding horizon. The simulation example of the CSTR tester shows the effectiveness and feasibility of the proposed algorithm.

Plasmodium vivax is increasingly the dominant species of malaria in the Greater Mekong Subregion (GMS), which is pursuing regional malaria elimination. P. vivax lineages in the GMS are poorly characterized. Currently, P. vivax reference genomes are scarce due to difficulties in culturing the parasite and lack of high-quality samples. In addition, P. vivax is incredibly diverse, necessitating the procurement of reference genomes from different geographical regions. Here we present four new P. vivax draft genomes assembled de novo from clinical samples collected in the China-Myanmar border area. We demonstrate comparable length and content to existing genomes, with the majority of structural variation occurring around subtelomeric regions and exported proteins, which we corroborated with detection of large-scale copy number variation. We predicted peptides from all PIR gene subfamilies, except for PIR D. We confirmed that proteins classically labelled as PIR D family members are not identifiably by PIR motifs, and actually bear stronger resemblance to DUF (domain of unknown function) family DUF3671, potentially pointing to a new, closely related genetic family. Further, phylogenetic analyses of MSP7 genes showed high variability within the MSP7-B family compared to MSP7-A and -C families, and the result was comparable to that from whole genome analyses. The new genome assemblies serve as a resource for studying P. vivax within the GMS.

This letter proposes a new approach to the reliability analysis of IEEE 802.11 one-dimensional (1-D) broadcast mobile ad hoc networks. The approach finds a simple and effective way to derive the distribution of signal-to-interference-to-noise ratio (SINR) on each receiver, which is required for evaluation of the reliability metrics and the channel capacity. Having observed that the effective interference area depends on a given SINR threshold, the SINR distribution derivation is converted to estimating the SINR threshold related interference areas that are dynamically changed in a communication channel. The analysis is applied to two network configurations for example, and it is cross validated by the extensive simulations. Compared with the previous models, the new approach is more general, more precise, and faster.

NaNbO 3 and KNbO 3 powders were prepared respectively by the hydrothermal synthesis method. The obtained powders were mixed with the molar ratio of 1:1 and dry-pressed, the (K 0.5 Na 0.5 )NbO 3 (KNN) lead-free piezoelectric ceramics were obtained by sintering at 1060-1100 C at normal atmosphere. The effect of sintering temperature on phase, microstructures, bulk density and electrical properties of KNN ceramics were investigated. The XRD patterns showed that the single solid solution of (Na, K) NbO 3 ceramics was acquired. The SEM micrographs exhibited that increasing sintering temperature appropriately would improve grain growth and decrease porosity. K/Na, shrinkage, density, piezoelectric constant d 33 and dielectric constant increased with the increased sintering temperature. When the sintering temperature was 1100 C, the d 33 reached a maximum (110.8 PC/n). Meanwhile, through freeze casting and infiltrating with a polymeric lubricant phase, a layered KNN-epoxy composite was produced using the hydrothermally synthesized NaNbO 3 and KNbO 3 powders as raw powders. Its microstructures and properties were analyzed.

Fuzzy concept lattice generated from fuzzy context (L-context) has been used in a number of fields, such as data mining, decision-making, information retrieval and so on. Recent works have achieved great success. In this paper, given a binary relation, we generated the fuzzy concept lattice. In order to make decision-making much easier, reducing the number of attributes without a large amount of information loss was preferred, a method of computing the similarity matrix was represented as well. We proposed an algorithm for attribute reduction and discussed the time complexity with comparison to the other algorithms afterwards. In the end, the method of computing choice value during decision-making was provided.

Now the congestion of road has impacted on the city development seriously, and became the crux which constrained the city development. An intelligent urban traffic management system is needed urgently. In this paper an architecture of the intelligent collaborative urban traffic management system based on SOA and cloud computing is proposed. A collaborative service model based on SOA is given to realize intelligent collaborative management of urban traffic. The technology of service request and response dispatching based on SOA is proposed in the paper to match the collaborative event processing. Mass calculation was realized by the application of the cloud computing platform. The system fundamentally realizes the intelligent monitoring and management of urban traffic and realizes the purpose of intelligent dredge of urban traffic.

Previous studies have found a correlation between numerosity processing and arithmetical performance. Visual perception has already been indicated as the shared cognitive mechanism between these two; however, these studies mostly focused on children. It is not clear whether the association between numerosity processing and arithmetical performance still existed following the development of individual arithmetical performance. Consequently, the underlying role of visual perception in numerosity processing and arithmetical performance has not been sufficiently studied in adults. For this study, researchers selected a total of 205 adult participants with an average age of 22years. The adults were administered arithmetic tests, numerosity comparison, and visual figure matching. Mental rotation, choice reaction time, and nonverbal intelligence were used as cognitive covariates. Results showed that numerosity comparison of adults correlated with their arithmetical performance, even after controlling for age and gender differences as well as general cognitive processing. However, after controlled for visual figure matching, the well-established association between numerosity comparison and arithmetic performance disappeared. These results supported the visual perception hypothesis, that visual perception measured by visual figure matching can account for the correlation between numerosity comparison and arithmetic performance. This indicated that even for adult populations, visual perceptual ability was the underlying component of numerosity processing and arithmetic performance.

This paper first introduces the development process of GPS at home and abroad, the impact on manufacturing informatization and the status and role of GPS in the world. Then we compare the national standard GB / T1182 " Geometrical product specifications (GPS)-Geometrical tolerancing - Tolerances of form, orientation, location and runout " issued in 2008 and 2018, and analyze the changes of their main technical contents. Through two-dimensional and three-dimensional annotation examples, the meanings and marking methods of four auxiliary frames and offset tolerance zones in the new generation of GPS standards are analyzed, which will play a positive role in further strengthening the publicity and implementation of GPS standards.

In the problem of discovering weighted association rules (WAR), the number of rules is often very large and they contain some redundant rules, the process of mining can be very time consuming. In this paper, we present an application of lattice in mining WAR which will reduce greatly the time and quantity of mining rules. Our method includes three phases: (1) Generating the frequent closed itemsets(FCI) using indiscernibility matrix. (2) Building frequent weighted closed itemsets lattice(FWCIL) based on FCI.(3) Mining WAR from lattice. It is shown by experimental results that our approach not only results in shorter average execution times, but also remove some redundant rules than the generalization of previous known methods on quantitative association rules.

To explore the adsorption mechanism of CH4 and H2O molecules on the surface of low-rank coal (LRC) from the microscopic point of view, the electrostatic potential and frontier orbitals of each oxygen-containing functional group (OFGs) in LRC and adsorbent molecule, the adsorption energy, and Mulliken charge layout of CH4 molecules and H2O molecules with OFGs in LRC were investigated by density functional theory (DFT) simulation method. The results of DFT calculations showed that the order of adsorption strength of CH4 molecules on different OFGs was OCH3–LRC (-9.643 kJ/mol) &amp;gt; C=O–LRC (−8.625 kJ/mol) &amp;gt; OH–LRC (−7.241 kJ/mol) &amp;gt; COOH–LRC (−6.194 kJ/mol), which were all smaller than that of the C–LRC model without functionalization (−10.749 kJ/mol). The presence of OFGs reduces the adsorption strength of CH4 molecules on the surface of LRC. The order of strength of adsorption of H2O molecules on different OFGs was COOH–LRC (−69.836 kJ/mol) &amp;gt; OH−LRC (−46.442 kJ/mol) &amp;gt; C=O–LRC (−42.848 kJ/mol) &amp;gt; OCH3–LRC (−33.079 kJ/mol), and they were all greater than that of the C–LRC model without functionalization (−32.572 kJ/mol). The presence of OFGs improves the adsorption strength of H2O molecules on the surface of LRC. Both the LRC model modified with OFGs and the non-functionalized C–LRC model showed stronger adsorption of H2O molecules compared to that of CH4 molecules. Therefore, coal seam water injection can reduce the amount of gas gushing and mitigate coal seam gas protrusion.

In order to construct concept lattice without rebuilding the whole structure, we introduced some basic notions in FCA and Graph, such as concept, cover, maxmod and so on. In Section 2, we elaborated the procedures of a proposed algorithm for computing the covers by adding non-dominating maxmods to the intent of a given concept. After that we analyzed time complexity with comparison to other relevant researches and proved that our algorithm is superior to other algorithms. In the end, we discussed a few open issues.

In recent years, different kinds of rough set models on two universes have been given. In this paper a variable precision graded rough set model based on two distinct but related universes (VPGRSTU) is proposed. We determine the scope of the grade from the absolute quantitative point of view, and the precision of <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> can be changed with user requirements. We introduce an algorithm to compute the new lower and upper approximations in VPGRSTU. Furthermore, a method to measure roughness of VPGRSTU is given. The method also can be used to compute the lower and upper approximations. An algorithm based on matrix is proposed to realize above method. Finally, several examples are employed to demonstrate the VPGRSTU and the theory in this paper. At last we build urban emergency intelligent decision system based on VPGRSTU.

Abstract In three different types of domestic cars for example, the paper studied interior noise sound quality when engine idle at a constant speed in different speed operation. Noise test using HEAD Acoustics multi-channel noise test system, sound quality subjective evaluation experiment was carried out in a semi-anechoic. Vehicle sound quality was studied using support vector machine (SVM) model, the results showed that car interior sound quality mainly by four psycho-acoustical parameters: A-weighted sound pressure level, loudness, roughness and jitter degree. The support vector machine forecasting method can guarantee the accuracy of prediction results for small sample data, which has higher accuracy in predicting, error lower.