Conditional selection with CNN augmented transformer for multimodal affective analysis

Attention mechanism has been a successful method for multimodal affective analysis in recent years. Despite the advances, several significant challenges remain in fusing language and its nonverbal context information. One is to generate sparse attention coefficients associated with acoustic and visual modalities, which helps locate critical emotional se-mantics. The other is fusing complementary cross‐modal representation to construct optimal salient feature combinations of multiple modalities. A Conditional Transformer Fusion Network is proposed to handle these problems. Firstly, the authors equip the transformer module with CNN layers to enhance the detection of subtle signal patterns in nonverbal sequences. Secondly, sentiment words are utilised as context conditions to guide the computation of cross‐modal attention. As a result, the located nonverbal fea-tures are not only salient but also complementary to sentiment words directly. Experi-mental results show that the authors’ method achieves state‐of‐the‐art performance on several multimodal affective analysis datasets.

Better understanding of c-reactive protein and leukocytes in psychiatric inpatients with affective disorders:A biopsychosocial approach

BACKGROUND Affective disorders(AD)have been linked to inflammatory processes,although the underlying mechanisms of this relationship are still not fully elucidated.It is hypothesized that demographic,somatic,lifestyle,and personality variables predict inflammatory parameters in AD.AIM To identify biopsychosocial factors contributing to inflammation in AD measured with two parameters,C-reactive protein(CRP)and leukocytes.METHODS This observational study investigated 186 hospital inpatients diagnosed with AD using demographic parameters,serum inflammatory markers,somatic variables,psychological questionnaires,and lifestyle parameters.Hierarchical regression analyses were used to predict inflammatory markers from demographic,somatic,lifestyle,and personality variables.RESULTS Analyses showed that 33.8%of the variance of CRP was explained by body mass index and other somatic medication(e.g.anti-diabetics),age and education,and age of affective disorder diagnosis.For leukocytes,20.1%of the variance was explained by smoking,diet,metabolic syndrome(MetS),and anti-inflammatory medication(e.g.non-steroidal anti-inflammatory drugs).Other psychiatric or behavioural variables did not reach significance.CONCLUSION Metabolic components seem important,with mounting evidence for a metabolic affective disorder subtype.Lifestyle modifications and psychoeducation should be employed to prevent or treat MetS in AD.

Impaired implicit emotion regulation in patients with panic disorder:An event-related potential study on affect labeling

BACKGROUND Panic disorder(PD)involves emotion dysregulation,but its underlying mechanisms remain poorly understood.Previous research suggests that implicit emotion regulation may play a central role in PD-related emotion dysregulation and symptom maintenance.However,there is a lack of studies exploring the neural mechanisms of implicit emotion regulation in PD using neurophysiological indicators.AIM To study the neural mechanisms of implicit emotion regulation in PD with eventrelated potentials(ERP).METHODS A total of 25 PD patients and 20 healthy controls(HC)underwent clinical evaluations.The study utilized a case-control design with random sampling,selecting participants for the case group from March to December 2018.Participants performed an affect labeling task,using affect labeling as the experimental condition and gender labeling as the control condition.ERP and behavioral data were recorded to compare the late positive potential(LPP)within and between the groups.RESULTS Both PD and HC groups showed longer reaction times and decreased accuracy under the affect labeling.In the HC group,late LPP amplitudes exhibited a dynamic pattern of initial increase followed by decrease.Importantly,a significant group×condition interaction effect was observed.Simple effect analysis revealed a reduction in the differences of late LPP amplitudes between the affect labeling and gender labeling conditions in the PD group compared to the HC group.Furthermore,among PD patients under the affect labeling,the late LPP was negatively correlated with disease severity,symptom frequency,and intensity.CONCLUSION PD patients demonstrate abnormalities in implicit emotion regulation,hampering their ability to mobilize cognitive resources for downregulating negative emotions.The late LPP amplitude in response to affect labeling may serve as a potentially valuable clinical indicator of PD severity.

Rights Risks of Using Affective Computing Technology in Public Governance and Their Regulation

As the frontier of intelligent computing technology,affective computing has been used in border inspection,case investigation,crime assessment,public opinion management,traffic management and other scenarios of public governance.However,there are still public risks associated with its failure to meet the basic requirements of modern public governance,and these risks are rooted in its technical characteristics.The technical characteristics of turning emotions into signals can give rise to such problems as degrading the right to informed consent,de-governance,and undermining human dignity when applied in public governance,and consequently can lead to social rights anxiety.Additionally,the affective modeling characteristics of affective computing tend to incur the rights risks of insufficient algorithm accuracy,algorithmic discrimination,and algorithmic black boxes.To avoid these risks,it is necessary to adopt the dynamic consent model as the premise for applying affective computing in public governance,and to regulate the auxiliary application of affective computing in public governance in a hierarchical manner,to achieve a balance between the application of affective computing technology and the protection of citizens'rights and the maintenance of public ethics.

Systematic Analysis on Factors Affecting the Development of Rural Tourism: A Case Study of Chengdu

Based on field survey, the thesis analyzes the key factors affecting development of rural tourism systematically, taking Chengdu as an example. These factors include regional e-conomic development level & leisure tradition, tourist market & traffic, tourist resource, spatial agglomeration and competition of rural tourism, and decision-making behavior. Among them, regional economic development level & leisure tradition and tourist market & traffic are prerequisites for the development of rural tourism which have an impact on tourist' s consumption level, consumption custom, operator's investment ability, tourist destination distribution and scale; Tourist resource, spatial agglomeration and competition of rural tourism are restrictive conditions affecting character and distribution of rural tourism; Government's decision-making behavior is of importance for expansion of scale and popularity of regional rural tourism, meanwhile, operators' decision-making behavior includes investment scale and operational strategies, and for operators from the outside, location selection is included additionally. All these decision-making behaviors are subjective conditions for the development of rural tourism.

Factors Affecting Patient Satisfaction with Community Health Service under the Gatekeeper System:A Cross-sectional Study in Nanjing,China

The gatekeeper policy has been implemented for approximately ten years on a pilot population in China. It is necessary to assess the satisfaction of patients utilizing community health service（CHS） under the gatekeeper system. Our study showed that the cognition of gatekeeper policy was associated with four dimensions including doctor‐patient relationships, information and support, organization of care, and accessibility（P 〈 0.001）. One or more factors such as gender and self‐perceived health scores also affected their satisfaction. General practitioners must be prepared to focus on these aspects of information and support, organization of care, and accessibility as indicators of potential opportunities for improvement. Additionally, policymakers can improve patients＇ satisfaction with CHS by strengthening their awareness of the gatekeeper policy.

Low risk of postoperative ulnar nerve affection in surgically treated distal humeral fractures when the nerve is released in situ

BACKGROUND Adult distal humeral fractures(DHF)comprise 2%-5%of all fractures and 30%of all elbow fractures.Treatment of DHF may be technically demanding due to fracture complexity and proximity of neurovascular structures.Open reduction and internal fixation(ORIF)are often the treatment of choice,but arthroplasty is considered in case of severe comminution or in elderly patients with poor bone quality.Ulnar nerve affection following surgical treatment of distal humerus fractures is a well-recognized complication.AIM To report the risk of ulnar nerve affection after surgery for acute DHFs.METHODS We retrospectively identified 239 consecutive adult patients with acute DHFs who underwent surgery with ORIF,elbow hemiarthroplasty(EHA)or total elbow arthroplasty(TEA)between January 2011 and December 2019.In all cases,the ulnar nerve was released in situ without anterior transposition.We used our institutional database to review patients’medical records for demographics,fracture morphology,type of surgery and ulnar nerve affection immediately;records were reviewed after surgery and at 2 wk and 12 wk of routine clinical outpatient follow-up.Twenty-nine percent patients were excluded due to pre-or postoperative conditions.Final follow-up examination was a telephone interview in which ulnar nerve affection was reported according to the McGowen Classification Score.A total of 210 patients were eligible for interview,but 13 patients declined participation and 17 patients failed to respond.Thus,180 patients were included.RESULTS Mean age at surgery was 64 years(range 18-88 years);121(67.3%)patients were women;59(32.7%)were men.According to the AO/OTA classification system,we recorded 47 patients with type A3,55 patients with type B and 78 patients with type C fractures.According to the McGowen Classification Score,mild ulnar nerve affection was reported in nine patients;severe affection,in two.A total of 69 patients were treated with ORIF of whom three had mild temporary ulnar nerve affection and one had severe ulnar nerve affection.In all,111 patients were treated with arthroplasty(67 EHA,44 TEA)of whom seven had mild ulnar nerve affection and one had severe persistent ulnar nerve affection.No further treatment was provided.CONCLUSION The risk of ulnar nerve affection after surgical treatment for acute DHF is low when the ulnar nerve is released in situ without nerve transposition,independently of the treatment provided.

Validation of the Chinese Version of the Affective Exercise Experiences Questionnaire (AFFEXX-C)

Despite the well-established benefits of regular physical activity(PA)on health,a large proportion of the world population does not achieve the recommended level of regular PA.Although affective experiences toward PA may play a key role to foster a sustained engagement in PA,they have been largely overlooked and crudely measured in the existing studies.To address this shortcoming,the Affective Exercise Experiences(AFFEXX)questionnaire has been developed to measure such experiences.Specifically,this questionnaire was developped to assess the following three domains:antecedent appraisals(e.g.,liking vs.disliking exercise in groups),core affective exercise experiences(i.e.,pleasure vs.displeasure,energy vs.tiredness,and calmness vs.tension),and exercise motivation(i.e.,attraction vs.antipathy toward exercise).The current study aimed to validate a Chinese version of the AFFEXX questionnaire(AFFEXX-C).In study 1,722 Chinese college students provided data for analyses of factorial,convergent,discriminant,criterion validity,and test-retest reliability of the AFFEXX-C.In addition,1,300 college students were recruited in study 2 to further validate its structural model.Results showed that the AFFEXX-C demonstrates a goodfit and reliability.Additionally,results further supported the hypothesized model based on previous research:antecedent appraisals predicted core affective exercise experiences,which in turn predicted attraction-antipathy toward physical exercise.The AFFEXX-C was found to be a reliable and valid measure of affective exercise experiences in a population of Chinese college students.

Ecosystem changes revealed by land cover in the three-river headwaters region of Qinghai,China(1990–2015)

The Three-River Headwaters Region(TRHR) of Qinghai Province, in the Tibetan Plateau of China, is the main source of the Yangtze, Yellow, and Lancang rivers, and is very significant to the security of freshwater resources for China and southeastern Asia. It is a critical ecological region of China for its ecological functions, and has been changed or even degraded in recent decades owing to climate change and human pressure. To effectively protect and restore the degraded ecosystems, the Chinese government initiated a series of ecological conservation projects in TRHR. It is essential to quantitatively assess ecosystem changes and their relationship to driving factors for indepth understanding of long-term changes of ecosystems and effects of ecological restoration policies and offer practical insights for ecological restoration. Here, land cover data has been interpreted with the series data of Landsat during 1990–2015. The patterns of different ecosystems and their developing process have been derived from land cover change. The results show that ecosystem types in TRHR include forest, grassland, cropland,wetland, artificial surface and barren land, accounting for 4.51%, 70.80%, 0.15%, 9.47%, 0.16% and 14.90%,respectively. Barren land converted to wetland was the significant ecosystem change from 1990 to 2015. Increases in temperature and precipitation and implementation of ecological rehabilitation helped maintain relatively stable ecosystem patterns. It is necessary to continue ecological projects to improve and/or maintain the ecosystems in TRHR because there is still a risk of land degradation under increasing climate change and human activity.

Multi-Versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis on Arabic Corpus

Sentiment analysis(SA)of the Arabic language becomes important despite scarce annotated corpora and confined sources.Arabic affect Analysis has become an active research zone nowadays.But still,the Arabic language lags behind adequate language sources for enabling the SA tasks.Thus,Arabic still faces challenges in natural language processing(NLP)tasks because of its structure complexities,history,and distinct cultures.It has gained lesser effort than the other languages.This paper developed a Multi-versus Optimization with Deep Reinforcement Learning Enabled Affect Analysis(MVODRL-AA)on Arabic Corpus.The presented MVODRL-AAmodelmajorly concentrates on identifying and classifying effects or emotions that occurred in the Arabic corpus.Firstly,the MVODRL-AA model follows data pre-processing and word embedding.Next,an n-gram model is utilized to generate word embeddings.A deep Q-learning network(DQLN)model is then exploited to identify and classify the effect on the Arabic corpus.At last,the MVO algorithm is used as a hyperparameter tuning approach to adjust the hyperparameters related to the DQLN model,showing the novelty of the work.A series of simulations were carried out to exhibit the promising performance of the MVODRL-AA model.The simulation outcomes illustrate the betterment of the MVODRL-AA method over the other approaches with an accuracy of 99.27%.

TC-Net:A Modest&Lightweight Emotion Recognition System Using Temporal Convolution Network

Speech signals play an essential role in communication and provide an efficient way to exchange information between humans and machines.Speech Emotion Recognition(SER)is one of the critical sources for human evaluation,which is applicable in many real-world applications such as healthcare,call centers,robotics,safety,and virtual reality.This work developed a novel TCN-based emotion recognition system using speech signals through a spatial-temporal convolution network to recognize the speaker’s emotional state.The authors designed a Temporal Convolutional Network(TCN)core block to recognize long-term dependencies in speech signals and then feed these temporal cues to a dense network to fuse the spatial features and recognize global information for final classification.The proposed network extracts valid sequential cues automatically from speech signals,which performed better than state-of-the-art(SOTA)and traditional machine learning algorithms.Results of the proposed method show a high recognition rate compared with SOTAmethods.The final unweighted accuracy of 80.84%,and 92.31%,for interactive emotional dyadic motion captures(IEMOCAP)and berlin emotional dataset(EMO-DB),indicate the robustness and efficiency of the designed model.

A Bifactor Analysis Approach to Construct Validity and Reliability of the Affective Exercise Experience Questionnaire among Chinese College Students

Affective exercise experience as an emerging theoretical concept has great potential to provide a more nuanced understanding of individual factors that influence exercise behavior.However,concerning the Affective Exercise Experiences(AFFEXX)questionnaire,it has not been examined yet whether the structural score of the AFFEXX is a useful index to predict physical activity(refers to any bodily movement produced by skeletal muscles that requires energy expenditure).Furthermore,there is currently a gap in knowledge regarding the psychological mechanisms that can explain the relationship between affective exercise experiences and the level of physical activity(PA).In order to adress these gaps in the literature,we conducted two studies among Chinese collge students that aimed(i)to investigated whether the total score of the three AFFEXX-C constructs(antecedent appraisals,core affective exercise experiences,and attraction-antipathy towards exercise)is a relaible indicator that can be utilized in research and pratical settings and(ii)to evalute the specific psychological mechanisms that can explain the relationship between affective exercise experience and PA.In Study 1,we recruited 801 voluntary Chinese college students for bifactor and correlational analyses.In Study 2,875 Chinese college students were enrolled to verify our findings from Study 1 and to explore the aforementioned mechanism.Results from the bifactor analyses supported our hypothesis that the total scores of the three AFFEXX-C constructs can be used among Chinese college students to establish a link with PA.Additionally,our results suggested that core affective exercise experiences and attraction-antipathy mediated the relationship between antecedent appraisals and the level of moderate-to-vigorous intensity PA.Therefore,measuring affective exercise experiences using the AFFEXX-C,specifically the total scores of each individual construct may be a useful approach to predict future PA levels.

Less Mixing Can Affect Lake's Ecosystem

Lakescanbelikebowlsofsoupinthemicrowave:Theyneedalittlestirringeverynowandthen.Otherwise,alltheheatendsupontop.That’sexactlywhat’shappenedinrecentyearstoAfrica'sLakeTanganyika,scientistsarereporting.

Exploring the Impact of Factors Affecting the Lifespan of HIVs/AIDS Patient’s Survival: An Investigation Using Advanced Statistical Techniques

This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.

Exploring the Impact of Factors Affecting the Lifespan of HIVs/AIDS Patient’s Survival: An Investigation Using Advanced Statistical Techniques

This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.

Welding Effect at the Heat Affected Zone by Joining a Gray Cast Iron with Stainless Steel E308-16

Different investigations of the union of dissimilar materials such as stainless steel and different castings have been carried out, but rapid cooling immediately after welding has not been considered, in this work it was investigated how rapid cooling affects the metallurgical microstructure and consequently the mechanical properties. The effect of welding parameters on the microstructure and mechanical properties of the joint between dissimilar metals, an E-308-16 austenitic stainless steel and Gray Cast Iron was also analyzed. Gray cast iron samples (GCI) were fabricated, welded and cooled. The main welding parameters studied in this work are the welding technique and the type of filler electrodes. Flux-coated electrode E-308-16 was applied for this different joint. An experimental study was carried out for the analysis of welded joints of similar and dissimilar steels. The microstructure of the welded joints was analyzed using an optical microscope, in the base metals, heat affected zone (HAZ) and filler metal. The mechanical properties of the welded joints were evaluated by Vickers microhardness and tensile strength tests. The hardness profile showed differences in hardness between the base metals, the heat affected zone and the filler metal. The metallurgical microstructures observed along the welded areas corresponded to the profile. The hardness differences determined the effect on the mechanical and metallurgical characteristics of the welded samples as a result of the cooling rate differences. This research work is important because it allows us to analyze the possibility of reworking pieces of dissimilar materials by welding or, failing that, to determine if this may or may not be possible.

领导底线心智对员工知识破坏行为的影响机制

竞争激烈的职场环境使得员工的知识破坏问题日趋明显,严重损害组织可持续发展。以两阶段配对的772份问卷为样本,基于认知-情感系统理论,从员工认知和情感两条路径探究领导底线心智对员工知识破坏行为的影响机制。研究表明,领导底线心智通过违反规范可接受感知与职场焦虑引发员工知识破坏行为,相较于情感路径(职场焦虑),认知路径(违反规范可接受感知)的影响更显著;高水平合作氛围不仅会弱化领导底线心智对违反规范可接受感知和职场焦虑的影响,而且会削弱领导底线心智通过二者对员工知识破坏行为的传导作用。研究结论对保护员工与组织免受知识破坏侵害具有指导价值。

Functional dissection of parabrachial substrates in processing nociceptive information

Painful stimuli elicit first-line reflexive defensive reactions and,in many cases,also evoke second-line recuperative behaviors,the latter of which reflects the sensing of tissue damage and the alleviation of suffering.The lateral parabrachial nucleus(lPBN),composed of external-(elPBN),dorsal-(dlPBN),and central/superior-subnuclei(jointly referred to as slPBN),receives sensory inputs from spinal projection neurons and plays important roles in processing affective information from external threats and body integrity disruption.However,the organizational rules of lPBN neurons that provoke diverse behaviors in response to different painful stimuli from cutaneous and deep tissues remain unclear.In this study,we used region-specific neuronal depletion or silencing approaches combined with a battery of behavioral assays to show that slPBN neurons expressing substance P receptor(NK1R)(lPBNNK1R)are crucial for driving pain-associated self-care behaviors evoked by sustained noxious thermal and mechanical stimuli applied to skin or bone/muscle,while elPBN neurons are dispensable for driving such reactions.Notably,lPBNNK1R neurons are specifically required for forming sustained somatic pain-induced negative teaching signals and aversive memory but are not necessary for fear-learning or escape behaviors elicited by external threats.Lastly,both lPBNNK1R and elPBN neurons contribute to chemical irritant-induced nocifensive reactions.Our results reveal the functional organization of parabrachial substrates that drive distinct behavioral outcomes in response to sustained pain versus external danger under physiological conditions.

Available Contents of Trace Nutrient Element and Factors Affecting Their Availability in Western Jilin

Based on the assay of the total content and available content of the trace nutrient elements and the soil pH and organic matter of the soil samples,the characteristic of the available content of the trace nutrient elements and their affecting factors are studied. The results show that the available B in western Jilin is in a middle level,the content in Nong'an is higher than that in the others; the available Mn is extremely abundant; the available Cu in Nong'an is obviously higher than other areas,and the content in Da'an differs greatly; the available Zn is in a middle level; the severe shortage of available Mo differs between different areas; and the available Fe is extremely abundant. The available Mn,Cu and Fe have significantly positive correlation with their total content; the available B has significantly positive correlation with pH,and Zn has obviously negative correlation with pH; the available Mn and Fe had significantly positive correlation with soil organic matter.

开放式创新平台激励与约束机制对用户创新行为的影响

平台的开放共享特征促使用户更主动地参与到价值创造活动中,企业吸纳用户参与创新过程成为其提升创新能力的重要途径。从认知—情感双重视角出发,以创新自我效能感、情感承诺为中介变量,以主动型人格为调节变量,探究开放式创新平台激励与约束机制对用户创新行为的影响机制及边界条件。结果显示,开放式创新平台激励机制、约束机制对用户创新行为均具有正向影响;创新自我效能感与情感承诺分别在开放式创新平台激励机制、约束机制与用户创新行为间发挥部分中介作用;主动型人格分别在开放式创新平台激励机制、约束机制与用户创新行为间发挥正向调节作用。