Deep learning reconstruction algorithm for frequency-resolved optical gating.

In general, delay operation is the most time-consuming stage in frequency-resolved optical gating (FROG) technology, which limits the use of FROG for high-speed measurement of ultrashort laser pulses. In this work, we propose and demonstrate the reconstruction of ultrashort optical pulses by employing the sequence-to-sequence (Seq2Seq) model with attention, theoretically. To our knowledge, this is the first deep learning framework capable of accurately reconstructing ultrashort pulses using very partial spectrograms. The root mean squared error (RMSE) of the pulse amplitude reconstruction and phase reconstruction on the overall test dataset are 9.5 × 10-4 and 0.20, respectively. Compared with the classic FROG recovery algorithm based on two-dimensional phase retrieval algorithms, the use of our model can shorten the spectral measurement time to 1/8 of the original time or even less. Meanwhile, the time required for pulse reconstruction using our model is roughly 0.2 s. To our knowledge, the pulse reconstruction speed of our model exceeds all current iteration-based FROG recovery algorithms. We believe that this study can greatly facilitate the use of FROG for high-speed measurements of ultrashort pulses.

Influence of ambient temperature on an Yb:YAG disk laser with anti-Stokes fluorescence cooling.

In general, the operating characteristics of solid-state lasers are significantly impacted by the ambient temperature, especially for Yb:YAG crystal with an anti-Stokes fluorescence cooling effect. In this Letter, the influence of the ambient temperature on the operating characteristics at the zero thermal load (ZTL) state is studied for an Yb:YAG disk crystal with a 1030 nm intra-cavity-pumped scheme. Theoretical analysis indicates that the output power of the laser at the ZTL state is significantly enhanced as the ambient temperature increases. Experimental results show that when the ambient temperature increases to 40°C, the output power of the laser at the ZTL state can reach 1.11 W, which is more than twice than that achieved at an ambient temperature of 25.5°C. This Letter provides a technical pathway for achieving a higher-power radiation-balanced laser (RBL).

A Novel Electrocatalyst Pd(II)@Ni3 (HITP)2 for Ultrasensitive Detection of Chloramphenicol: Experimental and Computational Investigation.

Ultrasensitive electrochemical detection on hazardous substances like antibiotics and pesticides is essential but still challenging in rapid test technology. Herein, the first electrode using highly conductive metal-organic frameworks (HCMOFs) for electrochemical detection of chloramphenicol is proposed. The design of electrocatalyst Pd(II)@Ni3 (HITP)2 with ultra-sensitivity in detection of chloramphenicol is demonstrated by loading Pd onto HCMOFs. An ultra-low limit of detection (LOD) of 0.2 nM (64.6 pg/mL) was observed for these materials, which is 1-2 orders of magnitude lower than the other reported materials for chromatographic detection. Moreover, the proposed HCMOFs showed long-time stability over 24 h. The superior detection sensitivity can be attributed to the high conductivity of Ni3 (HITP)2 , and the large Pd loading. The experimental characterizations and computational investigation determined the Pd loading mechanism in Pd(II)@Ni3 (HITP)2 , revealing PdCl2 adsorption on the abundant adsorption sites of Ni3 (HITP)2 . The proposed electrochemical sensor design using HCMOFs was demonstrated to be both effective and efficient, showing that the adoption of HCMOFs decorated with other effective electrocatalysts, which combine high conductivity and high catalytic activity, is of great advantage for ultrasensitive detection.

A series of ultrasensitive electrocatalysts Fe-MOF/MWCNTs for fentanyl determination.

Electrochemical determination of synthetic opioids such as fentanyl is meaningful but still challenging no matter from a social or academic perspective. Herein, we report a series of novel electrocatalysts based on Fe-containing metal-organic frameworks and multi-walled carbon nanotubes (Fe-MOF/MWCNTs). The obtained Fe-MOF/MWCNT electrode materials all show ultrasensitivity on fentanyl determination. In particular, MOF-235/MWCNTs even exhibit an ultra-low limit of detection (LOD) of 0.03 µM with a wide linear range from 0.1 to 50 µM. Besides, this series of Fe-MOF/MWCNTs also displays excellent repeatability, selectivity, and stability. Moreover, they show good performance in real sample detection and achieve good recovery of 95.47%-102.41% and 96.62%-103.15% in blood and urine samples, respectively. This high performance in fentanyl determination is mainly contributed by the Fenton-like process and the adsorption function of the Fe-MOF. Therefore, these novel Fe-MOF/MWCNTs are promising electrocatalysts for point-of-care device fabrication and also have potential applications in fentanyl rapid test technology.

Solving the issue of increasing forming voltage during device miniaturization in hafnium oxide-based resistive access memory using high-ksidewall material.

An electrothermal coupling model of resistive random access memory (RRAM) was established based on the oxygen vacancy conduction mechanism. By resolving the partial differential equation for the coefficients, the variation process of the device resistance was simulated. In our studies, a device model was proposed which can accurately simulate the whole process of RRAM forming, reset, and set. Based on the established model, a new high dielectric constant (high-k) material (La2O3) is introduced as the sidewall material. The La2O3sidewall material can concentrate the electric field and helps to speed up the formation of conductive filaments. The La2O3sidewall can effectively reduce the forming voltage increase during the miniaturization process. Then, the influence of sidewall thermal conductivity on forming voltage is studied, and it is discovered that low thermal conductivity helps to reduce the model's forming voltage and increase the temperature concentration. These findings serve as a foundation for more studies on the choice of sidewall materials.

Effect of substrate stiffness on the mechanical properties of cervical cancer cells.

BACKGROUND: Cervical cancer microenvironment is involved in the regulation of the behavior, morphology, and mechanical properties of the cervical cancer cells. Integrins expressed on the cell membrane combine with the factors of the microenvironment to determine cervical cancer cells' properties. The mechanical properties of integrin-extracellular matrix (ECM) interactions are important for the mechanotransduction of cervical cancer cells. However, the quantified study on the adhesion force and binding probabilities between collagen and integrins on cervical cancer cells grown on different stiffness substrates have not been reported. METHODS: Polyacrylamide (PA) gel was used as substrate to mimic the mechanical microenvironment of cancer cells. ImageJ software was used to measure the perimeter and area of the cells. SiHa cells were stained with FITC phalloidine to observe the cytoskeleton. Atomic force microscopy (AFM) was used to measure the cell mechanical properties. RESULT: The perimeters of SiHa cells grown on different stiffness substrates were 63.4 ± 1.3, 102.8 ± 4.0, and 152.6 ± 4.1 µm, for soft, intermediate, and stiff substrates, respectively. These areas were 277.2 ± 13.3, 428.9 ± 26.0, and 1166.0 ± 63.2 µm2, for soft, intermediate, and stiff substrates, respectively. The Young's modulus of SiHa cells grown on stiff substrates (3.0 ± 0.02 kPa) was higher compared with those on soft substrates (0.6 ± 0.01 kPa) or intermediate substrates (bimodal distribution, 1.36 and 1.67 kPa). The adhesion force between the functionalized probe and SiHa cells grown on glass (55.65 ± 0.78 pN) was significantly greater than that on stiff (47.03 ± 0.85 pN), intermediate (34.07 ± 0.58 pN) and soft (27.94 ± 0.47 pN) substrates. The binding probabilities of the collagen-integrin of the four rigid substrates were significantly differed. CONCLUSION: The changes in substrate stiffness can obviously regulate SiHa cells' mechanical properties, such as the Young's modulus. The adhesion force and binding probabilities of SiHa cells both increased with increasing substrate strength.

The Efficacy of Resin Hemoperfusion Cartridge on Inflammatory Responses during Adult Cardiopulmonary Bypass.

AIM: This study aimed to evaluate the efficacy of the resin hemoperfusion device (HA380 hemoperfusion cartridge) on inflammatory responses during adult cardiopulmonary bypass (CPB). METHODS: Sixty patients undergoing surgical valve replacement were randomized into the HP group (n = 30) with an HA380 hemoperfusion cartridge in the CPB circuit or the control group (n = 30) with the conventional CPB circuit. The results of routine blood tests, blood biochemical indexes, and inflammatory factors were analyzed at V0 (pre-CPB), V1 (CPB 30 min), V2 (ICU 0 h), V3 (ICU 6 h), and V4 (ICU 24 h). RESULTS: The HP group had significantly lower levels of IL-6, IL-8, and IL-10. Significant estimation of group differences in the generalized estimating equation (GEE) models was also observed in IL-6 and IL-10. The HP group had significantly lower levels of creatinine (Cr), aminotransferase (AST), and total bilirubin (TBil) compared to the control group. The estimation of differences of Cr, AST, and TBil all reached statistical significance in GEE results. The HP group had significantly less vasopressor requirement and shorter mechanical ventilation time and ICU stay time as compared to the control group. CONCLUSION: The HA380 hemoperfusion cartridge could effectively reduce the systemic inflammatory responses and improve postoperative recovery of patients during adult CPB.

400 MHz ultrafast optical coherence tomography.

An ultrafast time-stretched swept source with a sweep rate of 400 MHz is demonstrated based on the buffering of a 100 MHz femtosecond laser pulse train. To the best of our knowledge, this is the highest sweep rate of swept sources for optical coherence tomography (OCT) that has been reported. With a 10 dB sweep range of ∼100nm, an axial resolution of 19 µm is obtained in the OCT. OCT imaging of high-speed rotating disks is demonstrated. A composite complex apodization method is proposed and demonstrated to enhance the signal to noise ratio in the OCT imaging.

Birth month is associated with learning capacity in childhood in Northeast China.

It is difficult to evaluate long-term ventilation and indoor-outdoor temperature variation on-site in the birth residence so as to investigate their associations with learning capacity from childhood through adolescence. Here, we conducted a questionnaire-based retrospective cohort study in ten schools from two northeast China cities with warm summers and severe cold winters when residences had very low air exchange rates. Scores for Chinese, Mathematics, and English in the final exams of the summer semester in June 2018 were collected to evaluate learning capacity. We surveyed 6238 students aged 14.7 (SD: 2.1) years old. Using the 2nd quarter (April-May-June) birth as reference, 4th quarter (October-November-December) birth consistently was significantly associated with lower scores in Chinese in bivariate (ß, 95%CI: -3.2, -4.3 to -2.0) and multivariate (-1.8, -2.4 to -0.8) linear regression analyses. Stratified sub-analyses showed significant associations for male (-2.4, -3.7 to -1.1), urban (-2.4, -3.4 to -1.4), and primary students (-2.9, -4.5 to -1.4). Since household ventilation and indoor-outdoor temperature variation had great differences between the 2nd and 4th quarter of year, our results suggest that these two factors in the birth residence could be associated with learning capacity in childhood, especially for male and primary students in northeast China.

ß1,6 GlcNAc branches-modified protein tyrosine phosphatase Mu attenuates its tyrosine phosphatase activity and promotes glioma cell migration through PLCγ-PKC pathways.

The metastatic potential of malignant tumor has been shown to be correlated with the increased expression of tri- and tetra-antennary ß1,6-N-acetylglucosamine (ß1,6-GlcNAc) N-glycans. In this study, We found that GnT-V expression was negatively correlated with receptor protein tyrosine phosphatase type µ(RPTPµ) in human glioma tissues. To study whether RPTPµ is a novel substance of GnT-V which further affect RPTPµ's downstream dephosphorylation function, we preform lentiviral infection with GnT-V gene to construct stably transfected GnT-V glial cell lines. We found RPTPµ undergone severer cleavage in GnT-V transfected glioma cells compare to Mock cells. RPTPµ intracellular domain fragments increased while ß1,6-GlcNAc-branched N-glycans increased, in consistent with the decrease of RPTPµ's catalytic activity. The results showed that abnormal glycosylation could decrease the phosphorylation activity of PTP µ, and affect PLCγ-PKC pathways. Both protease inhibitor Furin and N-glycan biosynthesis inhibitor swainsonine could decrease cell mobility in GnT-V-U87 transfectants and other glioma cell lines. All results above suggest increased post-translational modification of RPTPµ N-glycans by GnT-V attenuates its tyrosine phosphatase activity and promotes glioma cell migration through PLCγ-PKC pathways, and that the ß1,6-GlcNAc-branched N-glycans of RPTPµ play a crucial role in glioma invasivity.

Study on initiating approach of (3-(tert-butylperoxy)propyl) trimethoxysilane on the polymerization of acrylonitrile as an initiator.

(3-(tert-butylperoxy)propyl) trimethoxysilane (TBPT), is a tailor-made new style silane coupling agent with peroxide group, which have ability of initiating polymerization. This study used TBPT to generate free radical, and initiated the polymerization of acrylonitrile (AN), thereby forming polyacrylonitrile (PAN) in two approaches, thermal initiation system and redox initiation system. Meanwhile this study bonded TBPT onto nano-TiO2 to get modified nano-TiO2 by means of the coupling function of TBPT, and then made the peroxide group of the modified nano-TiO2 decompose and initiate the polymerization of AN in thermal initiation system and redox initiation system respectively. The products were investigated and analyzed by FTIR, XPS and TG. The result showed that on one hand, in the products of the thermal initiation there was PAN, which both attached and unattached to the modified nano-TiO2; on the other hand, in the products of the redox initiation system the PAN unattached to the modified nano-TiO2 was produced, while the PAN attached to the modified nano-TiO2 was not.

How policy promotes the integration of culture and tourism? A fuzzy-set qualitative comparative analysis based on the Policy Instrument Theory.

Crafting pertinent policies to facilitate the high-level integration of culture and tourism has now become a vital agenda within the current discourse in China. However, relatively little is known about the actual implementation of various policies to achieve a high-level integration, especially how combinations of policy instruments are deployed in the process of realization. Based on the Policy Instrument Theory, this study uses fuzzy-set qualitative comparative analysis on a sample of 31 provincial administrative regions in China to investigate the influence of typical policy instruments on the integration level of tourism and culture. The results show that each single policy tool is not necessary for high-level integration of culture and tourism. On the contrary, only through an organic combination of different policy tools can affect the integration level. This study also summarizes five policy instrument configurations, which can be grouped into four driving modes of culture-tourism integration: the environment-driven supply-demand coordination mode, supply-driven demand-environment coordination mode, supply-driven mode, and supply-driven environment coordination mode. This study considerably provides critical theoretical and practical insights into the integration of culture and tourism from the perspective of governmental policies.

Simulation of the resistance switching performance and synaptic behavior of TiO2-based RRAM devices with CoFe2O4 insertion layers.

The electrothermal coupling model of Pt/CoFe2O4/TiO2/TiN devices was established to study their resistive switching characteristics and basic biological synaptic properties in our research. The processes of set and reset are simulated, and the distribution of the temperature, the electric field and the concentration of oxygen vacancies in the dielectric layer are obtained. The switching performance of the TiO2-based device is significantly improved after the CoFe2O4 layer is inserted, with the switching voltage, working current and power consumption being reduced, while the switching ratio is increased. By changing the thermal conductivity of the top electrode, the rupture position of the conductive filament can be controlled. The I-V characteristics of the Pt/CoFe2O4/TiO2/TiN device during the reset and set processes are fitted linearly in logarithmic coordinates, and the ohmic conduction mechanism or the space-limited charge conduction mechanism is mainly satisfied in the high and low resistance states. Finally, the application of dual-layer devices on biological synapses is studied, and the basic biological characteristics of enhancement, inhibition and paired pulse promotion are simulated successfully. In addition, the redox reaction induced by oxygen vacancy migration also promotes the formation and rupture of the conductive filament. Results of the study show this ferrite material as an insertion layer in a resistive random-access memory structure that offers potential for future information storage and bioneuromorphic computation devices.

Early warning of illegal development for protected areas by integrating cellular automata with neural networks.

Ecological security has become a major issue under fast urbanization in China. As the first two cities in this country, Shenzhen and Dongguan issued the ordinance of Eco-designated Line of Control (ELC) to "wire" ecologically important areas for strict protection in 2005 and 2009 respectively. Early warning systems (EWS) are a useful tool for assisting the implementation ELC. In this study, a multi-model approach is proposed for the early warning of illegal development by integrating cellular automata (CA) and artificial neural networks (ANN). The objective is to prevent the ecological risks or catastrophe caused by such development at an early stage. The integrated model is calibrated by using the empirical information from both remote sensing and handheld GPS (global positioning systems). The MAR indicator which is the ratio of missing alarms to all the warnings is proposed for better assessment of the model performance. It is found that the fast urban development has caused significant threats to natural-area protection in the study area. The integration of CA, ANN and GPS provides a powerful tool for describing and predicting illegal development which is in highly non-linear and fragmented forms. The comparison shows that this multi-model approach has much better performances than the single-model approach for the early warning. Compared with the single models of CA and ANN, this integrated multi-model can improve the value of MAR by 65.48% and 5.17% respectively.

[Analysis of tobacco-related knowledge, attitude and related factors among college students in Guangzhou city].

OBJECTIVE: To investigate tobacco-related knowledge, attitudes and analyze related factors among the college students in Guangzhou. METHODS: In May 2012, 11 593 college students from six universities in Guangzhou were selected and investigated by stratified cluster random sampling.Investigation content includes social demographic information, smoking behaviors, tobacco-related knowledge and attitudes. Chi-square test was used to analyze the difference about knowledge of harm of tobacco and awareness of tobacco control related legislation as well as tobacco-related attitudes between smokers and non-smokers. Factors on tobacco-related knowledge were analyzed by using rank sum test. RESULTS: Current smoking rate among undergraduates was 6.1% (706/11 593) , 11.5% (622/5388) for males and 1.4% (84/6205) for females. The awareness rate of that smoking addiction was a chronic disease in non-smokers(82.6%, 8954/10 836) was higher than that in smokers (73.1%, 509/696) (χ(2) = 40.09, P < 0.01). The awareness rate about smoking could cause emphysema in college students was 78.6% (8986/11 427) , and the rate was higher in non-smokers(79.3%, 8522/10 741) than that in smokers(67.6%, 464/686)(χ(2) = 52.57, P < 0.01). The awareness rate about passive smoking could cause lung cancer in college students was 84.6% (9636/11 391) , and the rate was higher in non-smokers (85.2%, 9125/10 706) than that in smokers (74.6%, 511/685) (χ(2) = 55.86, P < 0.01). The awareness about Framework Convention on Tobacco Control was 25.7% (2966/11 554) , and the rate was lower in non-smokers (25.3%, 2751/10 856) than that in smokers (30.7%, 215/700) (χ(2) = 9.80, P < 0.01). Among smokers, 54.8% (377/688) considered that smoking was enjoyful. This was higher than that in non-smokers (16.8%, 1802/10 752) (χ(2) = 606.92, P < 0.05). Among non-smokers, 92.2% (9935/10 781) considered that government should strengthen smoking control. The percentage was higher than that in smokers (74.2%, 515/694) (χ(2) = 258.13, P < 0.05). College students who were females, at high-grade and with high parental educational level, high monthly household income, high living expenses per month in school and household registration in towns and places out of Guangdong province showed higher tobacco-related knowledge score (all P values <0.01). CONCLUSION: The awareness of tobacco-related knowledge was not high generally among college students in Guangzhou, but the awareness was significantly higher in non-smokers than that of smokers. The related factors which influenced the awareness rate of tobacco-related knowledge include sex, grade, place of household registration, parent's educational level and household income.

How does perceptions of social justice affect farmers' political participation?-Evidence from China.

Ronald Inglehart's postmaterialist theory suggests that with the advancement of industrialization and economic prosperity, there will be a significant transformation in people's societal values. Concurrently, their forms of political participation shift from conventional activities to unconventional politic activities. However, most research on this topic has been predominantly focused on Western countries. In fact, rural farmers in China serve as an excellent experimental group for testing this theory since they have experienced rapid economic growth while still being deeply influenced by traditional authoritarianism culture.Using a sample of 6,689 respondents from the 2019 Chinese Social Survey (CSS) and employing a Binary Logistic Regression Model, we discovered that Chinese farmers' perception of overall societal justice exhibits a U-shaped relationship with various forms of political participation. Specifically, it shows a significant negative correlation with non-institutional political participation, such as contact-officer participation, but a significant positive correlation with institutional political participation types like community participation and election participation.Our further research indicates that the three subtypes of perception of societal justice are significantly negatively correlated only with non-institutional political participation, while their statistical relationship with institutional political participation is not significant. We believe that the underlying reason for this phenomenon lies in the unique interpretation of societal justice within Chinese traditional culture. Additionally, through a comparative analysis of models on political participation behavior and willingness, we found that despite significant inequalities and disparities in institutional structures and levels of economic development between rural and urban areas in China, rational considerations of the risks and costs associated with defying the government deter Chinese farmers from engaging in non-institutional politic activities unless their emotional resentment towards unjust practices reaches a certain threshold.

The impact of organic fertilizer replacement on greenhouse gas emissions and its influencing factors.

Although organic fertilizers played an important role in enhancing crop yield and soil quality, the effects of organic fertilizers replacing chemical fertilizers on greenhouse gas (GHG) emissions remained inconsistent, and further impeding the widespread adoption of organic fertilizers. Therefore, a global meta-analysis used 568 comparisons from 137 publications was conducted to evaluate the responses of GHG emissions to organic fertilizers replacing chemical fertilizers. The results indicated that organic fertilizers replacing chemical fertilizers significantly decreased N2O emissions, but increasing global warming potential (GWP) by enhancing CH4 and CO2 emissions. When replacing chemical fertilizers with organic fertilizers, a variety of factors such as climate conditions, soil conditions, crop types and agricultural practices influenced the GHG emissions and GWP. Among these factors, fertilizer organic C and available N level were the main factors affecting GHG and GWP. However, considering the feasibility and ease of optimizing these factors, fertilizer organic C, C/N and N substitution rate showed a more favorable choice for GWP reduction, and their interactions significantly affecting GWP. Moreover, considering the distinct GHG emissions patterns in dryland and paddy field, the analysis of optimizing GWP based on fertilizer organic C, C/N and N substitution rate was separately conducted. According to the simulation optimization, the optimal combination of fertilizer organic C (137.2-228.8 g·kg-1), C/N (6.9-52.0) and N substitution rate (20.0-22.5 %) effectively suppressed the extent of increase in GWP in paddy field compared with chemical fertilizers. In dryland, optimizing fertilizer organic C (100-278 g·kg-1), C/N (70.7-76.6) and N substitution rate (10.2-16.0 %) led to a reduction in GWP compared with chemical fertilizers, indicating that dryland are more suitable for promoting organic fertilizer application. In conclusion, this meta-analysis study quantitatively assessed the GHG emissions when organic fertilizers replacing chemical fertilizers, and also provided a scientific basis for the mitigation of GHG emissions by organic fertilizers management.

Clinical Efficacy of Intersphincteric Resection for Low Rectal Cancer Compared With Abdominoperineal Resection: A Single-Center Retrospective Study.

BACKGROUND: In recent years, intersphincteric resection (ISR) has been increasingly used to replace abdominoperineal resection (APR) in the surgical treatment of ultra-low rectal cancer. AIM: This study was to compare the clinical efficacy of ISR and APR. METHODS: Between 2012 and 2018, 74 consecutive patients with ultra-low rectal cancer underwent ISR or APR in our medical center. A retrospective comparison of these 2 procedures was performed. RESULTS: A total of 43 patients underwent ISR and 31 underwent APR were included in the study. No significant differences were found between 2 groups in gender, age, BMI, and ASA score. Intersphincteric resection group showed shorter operative time (P = .02) and less blood loss (P = .001). Hospital stays, time to soft diet, and postoperative 30-day complications were not significantly different between the 2 groups. R0 resection achieved 100% in both the groups. As for the long-term outcomes, the survival and recurrence rate were similar between 2 groups. Moreover, the LARS and Wexner score showed that the postoperative anal function after ISR were satisfactory. CONCLUSION: This study suggested that ISR was feasible and safe for selected patients with ultra-low rectal cancer, with clinically superior outcomes in select patients (small tumors/further from the anal verge) and similar oncological outcomes to APR, and the anal functional outcomes after ISR were acceptable.

Self-Powered Smart Textile Based on Dynamic Schottky Diode for Human-Machine Interactions.

The growing demand for sustained self-powered devices with multifunctional sensing networks is one of the main challenges for smart textiles, which are the critical elements for the future Internet of Things (IoT) and Point of Care (POC). Here, cellulose-based smart textile is integrated with dynamic Schottky diode (DSD) to generate sustained power source (current density of 8.9 mA m⁻2 ) for self-powered built-in sensing network. In response to normal and shear motions, a pressure sensor with a sensitivity of 0.12 KPa⁻1 and an impact sensor are demonstrated, respectively. The woven structure of the textile contributes to signal amplification, which can also form a matrix of sensing elements for distributed sensing. The proposed strategy of fabricating self-powered and multifunctional sensing networks with smart textiles shows tremendous potential for future intelligent society.

The relationship between the Dark Triad and bullying among Chinese adolescents: the role of social exclusion and sense of control.

Introduction: Abundant evidence has proved the association between the Dark Triad and bullying. However, the underlying mechanisms of this relationship are still not fully understood. Based on the temporal need-threat model, three studies were designed to explore the mediating role of social exclusion and sense of control in this research. Methods: In study 1 we recruited 571 Chinese adolescents (Mage = 14.53, SD = 0.716) to participate in a cross-sectional study. And two experiments were respectively designed in Study 2 (N = 88) and Study 3 (N = 102) to verify the effects of real and cyber social exclusion on adolescent bullying behavior. Results: Study 1 showed that social exclusion and sense of control would play the serial mediating role in the relationship between the Dark Triad and bullying (except social exclusion as a mediator between the Dark Triad and cyberbullying). Study 2 and 3 showed that adolescents with high Dark Triad show lower sense of control and more bullying behavior after experiencing social exclusion. Discussion: These findings extend the research on the Dark Triad and bullying by providing a solid empirical foundation and intervention strategies to avoid bullying so that the problem can be rationally and scientifically approached.