Generally, the emergence of Internet of Things enabled applications inspired the world during the last few years, providing state-of-the-art and novel-based solutions for different problems. This evolutionary field is mainly lead by wireless sensor network, radio frequency identification, and smart mobile technologies. Among others, the IoT plays a key role in the form of smart medical devices and wearables, with the ability to collect varied and longitudinal patient-generated health data, and at the same time also offering preliminary diagnosis options. In (...) terms of efforts made for helping the patients using IoT-based solutions, experts exploit capabilities of the machine learning algorithms to provide efficient solutions in hemorrhage diagnosis. To reduce the death rates and propose accurate treatment, this paper presents a smart IoT-based application using machine learning algorithms for the human brain hemorrhage diagnosis. Based on the computerized tomography scan images for intracranial dataset, the support vector machine and feedforward neural network have been applied for the classification purposes. Overall, classification results of 80.67% and 86.7% are calculated for the support vector machine and feedforward neural network, respectively. It is concluded from the resultant analysis that the feedforward neural network outperforms in classifying intracranial images. The output generated from the classification tool gives information about the type of brain hemorrhage that ultimately helps in validating expert’s diagnosis and is treated as a learning tool for trainee radiologists to minimize the errors in the available systems. (shrink)

The fault prediction and abductive fault diagnosis of three-phase induction motors are of great importance for improving their working safety, reliability, and economy; however, it is difficult to succeed in solving these issues. This paper proposes a fault analysis method of motors based on modified fuzzy reasoning spiking neural P systems with real numbers for fault prediction and abductive fault diagnosis. To achieve this goal, fault fuzzy production rules of three-phase induction motors are first proposed. Then, the rMFRSNPS is presented (...) to model the rules, which provides an intuitive way for modelling the motors. Moreover, to realize the parallel data computing and information reasoning in the fault prediction and diagnosis process, three reasoning algorithms for the rMFRSNPS are proposed: the pulse value reasoning algorithm, the forward fault prediction reasoning algorithm, and the backward abductive fault diagnosis reasoning algorithm. Finally, some case studies are given, in order to verify the feasibility and effectiveness of the proposed method. (shrink)

English grammar error correction algorithm refers to the use of computer programming technology to automatically recognize and correct the grammar errors contained in English text written by nonnative language learners. Classification model is the core of machine learning and data mining, which can be applied to extracting information from English text data and constructing a reliable grammar correction method. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of English grammar error (...) correction algorithm, elaborated the development background, current status, and future challenges of the classification model, introduced the methods and principles of feature extraction method and dynamic residual structure, constructed a basic model for English grammar error correction based on the classification model, analyzed the classification model and translation model of English grammar error correction, proposed the English grammar error correction algorithm based on the classification model, performed the analyses of the model architecture and model optimizer of the grammar error correction algorithm, and finally conducted a simulation experiment and its result analysis. The study results show that, with the continuous increase of training samples and the continuous progress of learning process, the proposed English grammar error correction algorithm based on the classification model will continue to increase its classification accuracy, further refine its recognition rules, and gradually improve correction efficiency, thereby reducing processing time, saving storage space, and streamlining processing flow. The study results of this paper provide a certain reference for the further research on English grammar error correction algorithm based on the classification model. (shrink)

University spin-outs, creating businesses from university intellectual property, are a relatively common phenomena. As a knowledge transfer channel, the spin-out business model is attracting extensive attention. In this paper, the impacts of six equities on the acquisition of USOs, including founders, university, banks, business angels, venture capitals, and other equity, are comprehensively analyzed based on theoretical and empirical studies. Firstly, the average distribution of spin-out equity at formation is calculated based on the sample data of 350 UK USOs. According to (...) this distribution, a radial basis function neural network model is employed to forecast the effects of each equity on the acquisition. To improve the classification accuracy, the novel set-membership method is adopted in the training process of the RBF NN. Furthermore, a simulation test is carried out to measure the effects of six equities on the acquisition of USOs. The simulation results show that the increase of university’s equity has a negative effect on the acquisition of USOs, whereas the increase of remaining five equities has positive effects. Finally, three suggestions are provided to promote the development and growth of USOs. (shrink)

Cretaceous Qingshankou mudstone of lacustrine origin is the major source rock for conventional hydrocarbon currently being produced in the Daqing and Jilin oilfields of the Songliao Basin, which is one of the largest continental basins in the world. Therefore, elucidating the geochemical and petrological characteristics of the [Formula: see text] mudstone is important to help determine its quality as an economically viable source for shale oil production. In our study, eight dark mudstone core samples from the [Formula: see text] formation (...) were subjected to total organic carbon, Rock-Eval pyrolysis, X-ray diffraction, scanning electron microscopy, field emission SEM, and low-pressure [Formula: see text] gas adsorption experiments. Geochemical and petrological analysis results indicated the presence of a high TOC content, which originated mainly from alginate and some plant-derived organic matter, whereas bitumen was frequently present in mudstones with thermal maturity in the oil-generation stage. The [Formula: see text] mudstones were comprised mainly of clay minerals, followed by quartz, feldspar, and carbonates. The LPGA-[Formula: see text] experiments revealed the presence of nanoscale slit-shaped pores, and the contribution from mesopores to the total pore volume was the highest in most of the samples. The average pore diameters of the mudstone samples were all smaller than 20 nm. We determined that there was a clear positive correlation between the APD and the free oil content; however, there were no clear correlations between the APDs and the quartz, carbonate, and TOC contents. FEM studies revealed the presence of intergranular pores with widths of approximately 10 μm, micron-level autogenetic organic matter pores within spores, organic matter pores caused by the hydrocarbon generation effect within organic matter or clay-organic complexes, and intraparticle pores within clays or pyrite framboids. The microlevel intergranular pores might play an important role in shale oil accumulation from source rock of lacustrine origin. (shrink)

This study examined the relationship between the Protestant Work Ethic (PWE) and Confucian Dynamism in a sample of 1,757 respondents from several provinces in mainland China. Mirels and Garrett’s (J Consult Clin Psychol 36:40–44, 1971 ) PWE Scale and Robertson’s (Manag Int Rev 40:253–268, 2000 ) Confucian Dynamism Scale were used to measure the work ethics. The 16 items of the PWE Scale and eight items of the Confucian Dynamism Scale were initially subjected to a principal components analysis. Factor analysis (...) produced four factors of the PWE, which were labeled as follows: hard work, internal motive, admiration of work itself, and negative attitude to leisure; and three factors of the Confucian Dynamism, which were labeled: long-term orientation, short-term orientation, and guanxi orientation. The results of a multiple regression analysis indicated that all the dimensions of PWE were positively related to Confucian Dynamism, but negatively to guanxi orientation. The results also indicated that three PWE dimensions (“hard work,” “internal motive,” and “admiration of work itself”) were positively and significantly related to long-term orientation, but two of them were related negatively and significantly to the short-term orientation of Confucian Dynamism. In addition, the results showed that the dimension—admiration of work itself—of PWE was significantly and negatively associated with the guanxi orientation, but significantly and positively to the short-term orientation. (shrink)

The debate between ‘inclusive’ and ‘dominant’ interpretations of Aristotle's concept of happiness (eudaimonia) has become one of the thorniest problems of Aristotle interpretation. In this paper, I attempt to solve this problem by presenting a multi-step argument for an ‘all-inclusive’ thesis, i.e., the Aristotelian philosopher or contemplator, in the strict sense, is someone who already possesses all the intellectual virtues (except technē), all the moral virtues (by way of the possession of phronēsis), and considerable other goods. If this thesis is (...) correct, the inclusive and dominant interpretations will converge, for the philosopher turns out to be the happiest human being both in the inclusive and dominant senses. (shrink)

Behind the frequent occurrence of business scandals, it is often the silence and connivance of organizational immorality. Moral voice, a kind of employee active moral behavior, inhibits and prevents the organizational unethical phenomenon. Some researchers have sought to explore how to arouse employee moral voice. However, the limited studies mainly investigated the antecedents of leadership styles, ignoring the impact of the organizational factor on moral voice. Based on the self-determination theory, the current study constructs a theoretical model about how socially (...) responsible human resource management affects employee moral voice via autonomous motivation and controlled motivation and further considering the moderating role of person–organization value fit. From a two-stage research method and the analysis of 260 valid data, we found that SRHRM promoted employee moral voice and this positive linkage was mediated by autonomous motivation but not by controlled motivation. Besides, the findings also revealed that person–organization fit moderated the indirect influences of SRHRM on moral voice via autonomous motivation, such that the indirect influence was stronger for a high level of person–organization value fit than the low level of person–organization value fit. Some theoretical and practical implications also be discussed. (shrink)

The current study proposes a moderated mediation model to explain the relationship between humble leadership and team innovation. Our hypothesis integrates social information processing theory with the existing literature on humble leadership. As a result, we theorize that when a humble individual leads a team, the team members are more likely to reconsider strategies, review events with self-awareness, share diverse information, and adapt to new ideas, which in turn promotes innovative team activities. Moreover, consistent with the research that emphasizes the (...) inclusion of team culture in exploring leader–innovation relationships, we investigate the moderating role of a team’s expertise diversity in the above positive, indirect relationship. We test our model by using both archival and survey data collected from 135 teams within 18 medium-to-large internet technology firms in China. The findings largely support our theoretical assertions, suggesting that humble leadership has important implications for team processes and innovation. (shrink)

This paper investigates the distribution characteristics of word lengths in the Dream of the Red Chamber, measured in terms of the number of syllables or characters. The results show that the frequency distribution of words of different lengths in the DRC abides by the extended logarithmic distribution model. A comparison between the first forty, the middle forty, and the last forty chapters shows that the distribution of word lengths in these three parts does not differ significantly, which sheds light on (...) the authorship of the novel. (shrink)

We have addressed the seismic impedance inversion problem, which is often ill posed because of inaccurate and insufficient data. The approach taken is based on dictionary learning and sparse representation. By shifting a patch window of fixed size on all well-log data, a large number of small overlapping patches are generated. Then regarding these patches as a training set and using K-singular value decomposition algorithm, we obtain a dictionary that describes the common features of subsurface models within the current survey (...) area. On the basis of the assumption that the subsurface geology has similarity and lateral continuity to some extent, the dictionary is used to approximate each model via sparse representations over the learned dictionary. In particular, we impose the sparse representations as additional constraints into the inversion procedure, leading to a well-defined objective function that can not only fit the observed seismic data but also honor the features of the well-log data. We adopt a coordinate descent strategy to solve this objective function. Meanwhile, to enforce lateral continuity in the inverted models, we use an additional stage in which we use the nonlocal similarity information that is extracted from seismic data as spatial coherent prior knowledge to refine the estimated models. Compared with several traditional impedance inversion methods, our algorithm can produce solutions of much higher quality qualitatively and quantitatively. (shrink)

At present, in the context of the era of energy and digital reform enabling the “dual carbon” goal, in order to improve the performance of urban green innovation, digitalization has become more and more important. Based on panel data, taking 228 prefecture-level cities in China from 2003 to 2019 as an example, this study expounds three dimensions of promoting green innovation performance in the internal mechanism of digital development: direct transmission mechanism, indirect transmission mechanism, and regional heterogeneity transmission mechanism. This (...) article uses mechanism analysis and adopts a dynamic spatial panel model and systematic GMM method to empirically test the growth effect of green innovation performance endowed by digitization. This article found that green innovation performance showed regional heterogeneity and urban heterogeneity after adding carbon dioxide emissions from energy consumption, and digital development significantly improved the level of innovation performance. Further research found that digitalization has a positive impact on technological innovation, and technological innovation also has a positive impact on green innovation performance. And technological innovation plays a mediating role between digitalization and green innovation performance. Different intensities of environmental regulation play a positive moderating role in the impact of digitalization on green innovation performance. (shrink)

Accountability is a core element for groups and societies to operate efficiently. However, there have been confusing findings in previous studies on felt accountability, and few efforts have been made to clarify its complicated role. Drawing on self-determination theory, we developed an integrative model to examine the double-edged sword effect of felt accountability on work outcomes and individual wellbeing. We utilized a three-wave sample of 294 employees to test our hypotheses. The findings supported our hypotheses. Specifically, felt accountability is positively (...) related to both task performance and emotional exhaustion, and obsessive passion mediates the positive relationship between felt accountability and task performance, while work overload mediates the positive relationship between felt accountability and emotional exhaustion. This study integrates the positive and dark sides of felt accountability, provides new insights into its mechanism and expands the application of self-determination theory. (shrink)

Situated in the northwestern Qinghai-Tibet Plateau, the Qaidam Basin is the largest Cenozoic terrestrial intermountain basin in the world. It is an ideal place for understanding the coupling control of tectonics and climate on sedimentary evolution. Numerous studies on the Quaternary sedimentary evolution of the Qaidam Basin have been done, most of which are local, conceptual, and qualitative in nature. We have investigated the entire Qaidam Basin and its surrounding mountains quantitatively as a single entity to probe the Quaternary evolution (...) of the basin-range system in the northern Qinghai-Tibet Plateau. We used a basin and landscape dynamics modeling algorithm that is capable of modeling landscape evolution by simulating erosion, sediment transport, and deposition in a source-to-sink context by considering climate changes and tectonic uplift/subsidence. We have simulated the evolution of the Qaidam Basin and its surrounding mountains since 2.5 Ma quantitatively. Tectonic uplift and climate changes appear to have a direct impact on the denudation and deposition rates, but the impact varies through time. The deposition in the Qaidam Basin was mainly affected by tectonic movement during the period of 2.5–0.6 Ma, reaching a maximum deposition thickness of 2130 m at the end of 0.6 Ma, which was prevailed by climate after 0.6 Ma during the last four glacial-interglacial periods, reaching a maximum deposition thickness of 3200 m. The Qilian Mountains and the Kunlun Mountains contributed the bulk sediments to the Qaidam Basin of approximately 35% and 40%, respectively. The Altun Mountains made a significant contribution to the sediments in the Qaidam Basin during the early period of the Quaternary from 2.5 to 2.4 Ma due to a high denudation rate. The findings provide new insights for analyzing geomorphic and landscape evolution as well as source-to-sink systems in the Northern Qinghai-Tibet Plateau or elsewhere. (shrink)

本书内容包括:四岳之后、姓氏称谓、东海上人、早年坎坷、时定入周、为文王师、封建齐国、强国方略、政略特色等。.

To explore the number of latent variables underlying recognition of own- and other-race faces for Chinese observers, we conducted a study-recognition task where orientation, stimuli type, and duration were manipulated in the study phase and applied state trace analysis as a statistic method. Results showed that each state trace plot on each pair of stimuli types matched a single monotonic curve when stimuli type was set to state factor, but separate curves between face and non-face showed up when the state (...) factor was orientation. The results implied that at least two latent variables affected recognition performance in the inversion paradigm. Besides, the unidimensional structure between own- and other-race faces regardless of the state factor suggested that Chinese participants used the same recognition mechanism for unfamiliar own- and other-race faces in the inversion paradigm. (shrink)

This paper addresses the robust output feedback model predictive control schemes for networked control systems with input quantization. The logarithmic quantizer is considered in this paper, and the sector bound approach is applied, which appropriately treats the quantization error as a sector-bounded uncertainty. The presented method involves an offline designed state observer using linear matrix inequality and online robust output feedback MPC algorithms which optimize one free control move followed by the output feedback using the estimated state. Moreover, due to (...) the uncertainty of estimation error, a technique of refreshing the bound of estimation error which involves the quantization error is provided so as to guarantee the recursive feasibility of the optimization problem. The proposed MPC schemes inherit the characteristics of the synthesis approach of MPC, guaranteeing the recursive feasibility of the optimization problem and the stability of a closed-loop system, and explicitly account for quantization error. Two simulation examples are given to illustrate the effectiveness of the proposed methods. (shrink)

BackgroundUsing Bourdieu’s cultural capital theory, this paper discusses the inequality of Chinese urban residents’ participation in physical activities caused by cultural capital and explores the relationship and role of residents’ income and self-rated health in cultural capital and physical activity participation.MethodsUsing Chinese social survey data, the proposed assumptions were tested and analyzed by using a linear regression model.ResultsCultural capital can promote the participation of Chinese urban residents in physical activities, and personal income and health self-assessment play an intermediary role in (...) promoting residents’ participation in physical activities.ConclusionPromoting Chinese residents’ participation in physical activities can be realized not only through traditional publicity and sports venue construction but also by increasing residents’ educational level, art appreciation level and health awareness. (shrink)

Ritualistic consumption refers to integrating ritual elements into the process of product design and usage. By conducting three studies, we find that ritualistic consumption can offer new and interesting experiences and help consumers gain a sense of control. Both positive and negative emotions can promote ritualistic consumption tendencies. However, their underlying psychological mechanisms are different. Specifically, positive emotion can arouse consumers’ desire for interesting experience and thus promotes their preference for ritualistic consumption, while negative emotion can arouse consumers’ need for (...) control and thus promote their preference for ritualistic consumption. Our research results offer a theoretical contribution and practical inspiration for emotional marketing. (shrink)

In this paper, the single-machine scheduling problem is studied by simultaneously considering due-date assignment and group technology. The objective is to determine the optimal sequence of groups and jobs within groups and optimal due-date assignment to minimize the weighted sum of the absolute value in lateness and due-date assignment cost, where the weights are position dependent. For the common due-date assignment, slack due-date assignment, and different due-date assignment, an O n log n time algorithm is proposed, respectively, to solve the (...) problem, where n is the number of jobs. (shrink)

The whale optimization algorithm is a powerful swarm intelligence method which has been widely used in various fields such as parameter identification of solar cells and PV modules. In order to better balance the exploration and exploitation of WOA, we propose a novel modified WOA in which both the mutation strategy based on Levy flight and a local search mechanism of pattern search are introduced. On the one hand, Levy flight can make the algorithm get rid of the local optimum (...) and avoid stagnation; thus, it is able to prevent the algorithm from losing diversity and to increase the global search capability. On the other hand, pattern search, a direct search method, has not only high convergence rate but also good stability, which can boost the local optimization ability of the WOA. Therefore, the combination of these two mechanisms can greatly improve the capability of WOA to obtain the best solution. In addition, MWOA may be employed to estimate parameters in single diode model, double diode model, and PV modules and to identify unknown parameters of two different types of PV modules under diverse light irradiance and temperature conditions. The analytical results demonstrate the validity and the practicality of MWOA for estimating parameters of solar cells and PV modules. (shrink)

The results of the National Higher Education Entrance Examination have a life-long effect on most Chinese by labeling them clever or not. Some of the following rules of the Gaokao enhance the damage, for example, the rule of Who, What and Where. In general, Who you are and What you have done are of secondary importance, but Where you graduated from, especially the college of first-record is the most important, but discriminatory criterion in the recruitment courses of most of scientific (...) communities and social organizations in China. (shrink)

By following a recently published paper entitled “The effect of publishing a highly cited paper on a journal’s impact factor: a case study of the Review of Particle Physics” in Learned Publishing, we argue that it is not suitable for journals to bid for the right to publish a review that is likely to be highly cited. A few suggestions are also provided to deal with the special case of the Review of Particle Physics phenomenon.

The S-transform is one of the most widely used methods of time-frequency analysis. It combines the respective advantages of the short-time Fourier transform and wavelet transforms with scale-dependent resolution using Gaussian windows, scaled inversely with frequency. One of the problems with the traditional symmetric Gaussian window is the degradation of time resolution in the time-frequency spectrum due to the long front taper. We have studied the performance of an improved S-transform with an asymmetric bi-Gaussian window. The asymmetric bi-Gaussian window can (...) obtain an increased time resolution in the front direction. The increased time resolution can make event picking high resolution, which will facilitate an improved time-frequency characterization for oil and gas trap prediction. We have applied the slightly modified bi-Gaussian S-transform to a synthetic trace, a 2D seismic section, and a 3D seismic cube to indicate the superior performance of the bi-Gaussian S-transform in analyzing nonstationary signal components, hydrocarbon reservoir predictions, and paleochannels delineations with an obviously higher resolution. (shrink)

Metro driver is the prime person who is responsible for metro operation safety. The mental health of a metro driver is very important for the operation of the subway and requires the driver to keep high mental alertness to monitor the surrounding environment and also handle emergencies under uncertain or dangerous conditions. After a long-term occupational strain, a metro driver is likely to suffer from some mental health problems, such as anxiety and depression, that ultimately threaten the lives of passengers. (...) Therefore, in this study, we focus on the psychological symptoms of metro drivers from the angle of occupational strain and neuroticism. A total of 396 metro drivers from Kunming Rail Transit Operation Co., Ltd. in China were investigated through a questionnaire survey. Symptom Checklist-90, Personal Strain Questionnaire, and NEO-Five-Factor Inventory-Neuroticism Subscale were applied to evaluate the psychological symptoms, occupational strain, and neuroticism in metro drivers, respectively. The surveyed data were analyzed by SPSS software. Based on the data, a path structural equation model was established to explore the correlation among occupational strain, psychological symptoms, and neuroticism. The results show that the scores for psychological symptoms and occupational strain are higher than the Chinese adult norm among metro drivers. The occupational strain, neuroticism, and psychological symptoms are all positively correlated in the metro drivers. Occupational stress has a direct influence on the psychological symptom, while neuroticism plays a partial mediation role between occupational strain and psychological symptoms. The results of this study can be applied to optimize the employee selection system and training system for metro operation companies. (shrink)

In China and elsewhere, it is important to predict different lithologies and lithofacies for hydrocarbon exploration in a mixed evaporite-carbonate-siliciclastic system. The lower section of the second member of the Jialingjiang Formation is mainly composed of anhydrite, dolostone, limestone, and siliciclastic rocks, providing a rare opportunity to reconstruct detailed facies in a [Formula: see text] 3D seismic survey with 31 wells. Wireline logs calibrated by core analysis are essential in distinguishing anhydrite, siliciclastics, and carbonates. Although different lithologies are characterized by (...) different acoustic impedance, with certain overlapping, it is still difficult to predict lithology by any single seismic attribute because of the limited seismic resolution in a thinly interbedded formation of multiple lithologies. In our study, principal component analysis was applied to extract lithologic information from selected seismic attributes; the first two principal components were used to predict the content of anhydrite, siliciclastics, and carbonates. Content maps of anhydrite, siliciclastics, and carbonates — created by mixing the represented color — were used to reconstruct lithofacies of the T1j2L submember. It is quite difficult, even with the PCA approach, to uniquely resolve the three lithologies due to the overlapped AI and the limited resolution of the seismic data. However, the workflow that we evaluated dramatically improved the prediction accuracy of lithology and lithofacies. Facies transition during the deposition of the T1j2L submember in the study area was inferred from a paleo-uplift in the southwest to a restricted lagoon and then to an open marine setting in the northeast. (shrink)

Nowadays, people have an increasing interest in fresh products such as new shoes and cosmetics. To this end, an E-commerce platform Taobao launched a fresh-item hub page on the recommender system, with which customers can freely and exclusively explore and purchase fresh items, namely, the New Tendency page. In this work, we make a first attempt to tackle the fresh-item recommendation task with two major challenges. First, a fresh-item recommendation scenario usually faces the challenge that the training data are highly (...) deficient due to low page views. In this paper, we propose a deep interest-shifting network, which transfers knowledge from a huge number of auxiliary data and then shifts user interests with contextual information. Furthermore, three interpretable interest-shifting operators are introduced. Second, since the items are fresh, many of them have never been exposed to users, leading to a severe cold-start problem. Though this problem can be alleviated by knowledge transfer, we further babysit these fully cold-start items by a relational meta-Id-embedding generator. Specifically, it trains the item id embeddings in a learning-to-learn manner and integrates relational information for better embedding performance. We conducted comprehensive experiments on both synthetic datasets as well as a real-world dataset. Both DisNet and RM-IdEG significantly outperform state-of-the-art approaches, respectively. Empirical results clearly verify the effectiveness of the proposed techniques, which are arguably promising and scalable in real-world applications. (shrink)

Patients with advanced Alzheimer's disease experience cognitive impairment and physical disabilities in daily life. Currently, there are no treatments available to slow down the course of the disease, and limited treatments exist only to treat symptoms. However, deep brain stimulation of the nucleus basalis of Meynert has been reported to improve cognitive function in individuals with AD. Here, we report the effects of NBM-DBS on cognitive function in a subject with severe AD. An 80-year-old male with severe AD underwent surgery (...) for bilateral NBM-DBS electrode placement. After 10 weeks of stimulation, Mini-Mental State Examination assessment improved from a score of 5 to 9 points, and assessment using the Alzheimer's Disease Assessment Scale–Cognitive Subscale showed a marked reduction in total score from 43 to 33 points, suggesting cognitive benefits from NBM-DBS. The patient's postoperative course was complicated by a subdural effusion that occurred several days after surgery, with complete recovery. Interestingly, the subject also displayed abnormal thermoregulation with stimulation initiation and stimulation parameter modifications. NBM-DBS may serve as a potential therapy for severe AD patients.Clinical Trial Registration: ChiCTR1900022324. (shrink)

Ground fissures pose serious hazards to underground, as well as aboveground, structures. In underground railways, which are near ground fissures, the potential for disasters is even higher since tunnels face threats from fissure activities. To determine the interaction between a tunnel and ground fissure in the event of an earthquake, field surveys and data analysis were applied to study the activity and damage caused by the fissure. Shaking table tests and a numerical simulation model were used to understand the dynamic (...) response of the fissure site and tunnel. The fissure site had a clear hanging wall effect, where the acceleration amplification was larger in the hanging wall than that in the footwall both on the surface and at the middle of the fissure site. The zone of influence was also wider in the hanging wall. The acceleration magnification factor increased with the burial depth and peak acceleration of the input earthquake. The peak ground acceleration decreased with the burial depth on both sides of the fissure. The greatest PGA coefficient was obtained at the surface of the site. The vertical soil pressure was influenced by the metro tunnel and fissure. The vertical soil pressure was larger in the hanging wall, especially in the zone near the fissure, but was less near the tunnel. The horizontal soil pressure above the tunnel was less than that near the fissure. The results of this study are essential for the safe design of underground railway systems. (shrink)

Because of the impact of close partner's touch on psychological and physical well-being by alleviating stress, it is important to explore the influence factors that underlie the stress-alleviating effect of close partner's touch. Previous studies suggested that the stress-alleviating effect was different when individuals were touched by different persons. Specifically, the stress was reduced significantly when the individual was touched by the close partner compared with the acquaintance and the stranger. However, whether the stress-alleviating effect of touch was modulated by (...) the close relationship quality is unknown. To examine this question, the participants performed a 3 × 2 within-subjects experiment. The results revealed that the stress of the participants alleviated significantly while close partners present with touch compared with without touch during facing a threat. We also found that the relationship quality of couple-members modulated touch-induced stress alleviation. Participants perceiving the low quality of alternatives and the high partners' commitment level showed stronger touch-induced stress-alleviating effect than participants perceiving the high quality of alternatives and the low partners' commitment level. The explained variance was around 16.8% jointly for actor and partner effects. These findings provide evidence for explaining the reasons for touch-induced alleviating stress and have important implications for predicting the future effect of interactive behaviors. (shrink)