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BackgroundBeing complex and highly heterogeneous with regard to the etiology and clinical manifestations of depression， neuroimaging studies make a breakthrough for exploring the biological subtypes of depression， while the current data-driven approach for the identification of subtyping depression using structural magnetic resonance imaging （MRI） data is insufficient.ObjectiveTo explore the biological subtypes of depression using diffusion tensor imaging （DTI） and machine learning methods.MethodsA total of 127 patients with depression who attended Beijing Anding Hospital from September 2017 to August 2021 and met the Diagnostic and Statistical Manual of Mental Disorders， fourth edition （DSM-IV） diagnostic criteria were included， and another 80 healthy individuals matched for gender and age were recruited through advertisements in surrounding communities during the same period. DTI findings， demographic characteristics and clinical data were collected from all participants. Tract-based spatial statistics （TBSS） and the Johns Hopkins University （JHU） white matter probability maps were used to extract fractional anisotropy （FA） values of white matter tracts. A semi-supervised machine learning technique was used to identify the subtypes， and the FA values for whole brain white matter of patients and controls were compared.ResultsPatients with depression were classified into two biological subtypes. FA values in multiple tracts including corpus callosum and corona radiata of subtype I patients were smaller than those of healthy controls （P0.05）， while subtype I patients scored lower on HAMD-17 than subtype II patients after 12 weeks of treatment （t=2.410， P

Thermostat plays an important role in people′s production, life and scientific research, such as the measurement and compensation of temperature compensated crystal oscillator parameters. This paper designs and implements a software-controlled portable thermostat control system with low fluctuation. This thermostat uses a method to control the power of ceramic heating chip or semiconductor refrigeration chip by dynamically adjusting the working voltage, so as to realize the constant control of temperature. This thermostat has advantages of low temperature fluctuation, supporting temperature curve software control, small and portable. After testing, the temperature control range of the thermostat realized in this design is from -15 ℃ to 80 ℃, and the temperature fluctuation in stable state is ±0.2 ℃. In addition, compared with the thermostat using pulse width modulation control method, this thermostat has lower system electromagnetic radiation and higher refrigeration efficiency. Under the same power input condition, the temperature can be further reduced by 12.9 ℃.

Loneliness is an unpleasant experience of lacking desired interpersonal relationships. Abundant evidence has clarified the negative outcomes of loneliness, such as anxiety, even suicidal behaviors. However, relatively few is known about the internal buffering elements for loneliness, especially in adolescents. The current research aimed to investigate the relationship between self-compassion and adolescents' loneliness, as well as the mediating roles of fear of negative evaluation and social anxiety in this relationship. A total of 871 Chinese adolescents completed a set of questionnaires, including the measures of loneliness, self-compassion, social anxiety and the fear of negative evaluation. We tested the proposed serial mediation model and the results suggested that self-compassion was negatively associated with loneliness, and social anxiety served as a mediator in the relationship. Besides, we found that the fear of negative evaluation and social anxiety serially mediated the negative association. Specifically, self-compassionate adolescents reported less fear of negative evaluation, which resulted in decreased social anxiety symptoms. In turn, the decreased social anxiety was linked to reduced feelings of loneliness. The present study sheds lights on the mediating effects of fear of negative evaluation and social anxiety in the relationship between self-compassion and loneliness. The theoretical and practical implications, as well as the limitations of the present study, are discussed., Author(s): Xinyi Liu [sup.1] , Ying Yang [sup.1] , Hang Wu [sup.1] , Xiangjing Kong [sup.1] , Lijuan Cui [sup.1] Author Affiliations: (1) grid.22069.3f, 0000 0004 0369 6365, School of [...]

An adjacent excavation model based on the hardening soil-small strain (HSS) constitutive model was established by using the numerical method, which was compared with the single excavation model and the adjacent excavation model without considering the wall-soil friction. The stress deformation characteristics of adjacent excavation implemented simultaneously were obtained, and the interaction mechanism of adjacent excavations were revealed. The results show that two kinds of arching effects exist in the confined soil. One is the arching effect caused by uneven deformation of walls, and the other is the arching effect caused by the wall-soil friction, both of which affect the lateral earth pressure acting on the retaining walls. With the decrease of the excavation spacing, the former is weakened, resulting in the weakening of the transfer of lateral earth pressure between the soil near the excavation face to bracing soil, while the latter is enhanced, leading to the decrease of magnitude of the lateral earth pressure acting on adjacent retaining walls. Under the action of the arching effects, the curve of lateral earth pressure develops from an R-shaped distribution to a linear distribution and then returns to an R-shaped distribution with the decrease of the spacing. The maximum horizontal displacement of non-adjacent walls increases, and the maximum horizontal displacement of adjacent walls increases primarily and then decreases.