Great Individual Differences Research Articles

The relationship between interpersonal distance preference and estimation accuracy in autism.

People naturally seek an interpersonal distance that feels comfortable, striking a balance between not being too close or too far from others until reaching a state of equilibrium. Previous studies on interpersonal distance preferences among autistic individuals have yielded inconsistent results. Some show a preference for greater distance, while others indicate a preference for shorter distances, or reveal higher variance in preferences among autistic individuals. In a related vein, previous studies have also investigated the way autistics accurately judge distance, and these studies have received inconsistent results, with some showing superior spatial abilities and others indicating biases in distance estimations. However, the link between distance estimation and preference has never been examined. To address this gap, our study measured interpersonal distance preferences and estimations and tested the correlation between the two factors. The results indicate greater variance among autistic people in both the preference of distance and the ability to estimate distance accurately, suggesting that inconsistencies in previous studies originate from greater individual differences among autistics. Furthermore, only among autistic individuals were interpersonal distance preference and estimation bias associated in a manner that violated equilibrium. Underestimation bias (judging others as closer than they are) was linked to a preference for closer proximity, while overestimation bias (judging others as further away) was associated with a preference for maintaining a greater distance. This connection suggests that biases in the estimation of interpersonal distance contribute to extreme preferences (being too close or too far away). Taken together, the findings suggest that biases in the estimation of interpersonal distance are associated with socially inappropriate distance preferences among autistics.

Postoperative atrial fibrillation burden and progression patterns after cardiac surgery during 2.5 years of continuous rhythm monitoring

Abstract Background Early postoperative atrial fibrillation (POAF) is a frequent complication after cardiac surgery, with an incidence of up to 50%.(1, 2) The clinical presentation of early-POAF, however, might be highly diverse, showing great individual differences in symptoms, as well as POAF-specific characteristics such as the number of episodes, duration of episodes, and the percentage of time spent in POAF (POAF-burden). It is currently unknown how these early-POAF characteristics, particularly POAF-burden, are related to the risk of developing late-POAF recurrences. Purpose To establish the association between early-POAF characteristics, in particular POAF-burden, and late-POAF occurrence and burden. Methods Patients with and without a history of AF undergoing cardiac surgery were included. Preoperatively, all patients underwent echocardiography, electrocardiography, and blood biomarker analysis. Intraoperatively, all patients received an implantable loop recorder for a period of 2.5 years. POAF was defined as an AF episode lasting at least 2 minutes, detected by the ILR algorithm, and all episodes were manually checked by the investigators. POAF-burden was calculated as the percentage of time in AF for different time intervals (early: 0-3 months, late: 3-30 months). Classification of burden was performed based on cut-off values for tertiles. Also, associations between early-POAF characteristics, such as episode duration, and the incidence of late-POAF were analyzed. Results The study population consisted of 98 patients undergoing cardiac surgery (71 without preoperative AF history and 27 with preoperative AF history), out of which 53 developed POAF. Early-POAF occurred in 46 patients, and late-POAF in 36 patients. Early-POAF was associated with an increased occurrence of late POAF after adjusting for age, sex, PAF-history, and persistent AF-history (adjusted hazard ratio [aHR] = 4.62, 95% CI: 1.93-11.05, p<0.001) (Figure 1A). Multiple regression analysis, adjusted for age, sex, PAF-history, and persistent AF-history, revealed a gradual increase in late-POAF hazard between the early-POAF burden tertiles compared to patients without early-POAF (p<0.001) (Figure 1B). Similarly, the longest individual early-POAF episode and the number of early-POAF episodes were both associated with an increased late-POAF hazard (p<0.001 and p<0.001, respectively) (Figure 1C-D). The highest POAF-burden was observed in the early postoperative phase, with a significant reduction in the late phase (p=0.007) (Figure 2A). Overall, 84 patients had no late-POAF or a reduction in POAF burden, while 14 patients showed an increase in POAF-burden compared to the early postoperative phase (Figure 2B). Conclusion Early-POAF characteristics, such as POAF-burden, are strongly associated with an increased occurrence of late-POAF. The highest POAF-burden is present in the early postoperative phase, and only a minority of patients experience an increase in late-POAF burden.Figure 1Figure 2

The predictive value of free thyroxine combined with tubular atrophy/interstitial fibrosis for poor prognosis in patients with IgA nephropathy.

IgA nephropathy (IgAN), the most common type of glomerulonephritis, has great individual differences in prognosis. Many studies showed the relationship between thyroid hormones and chronic kidney disease. However, the relationship between free thyroxine (FT4), as a thyroid hormone, and IgAN is still unclear. This study aimed to evaluate the impact of FT4 on IgAN prognosis. This retrospective study involved 223 patients with biopsy-proven IgAN. The renal composite outcomes were defined as: (1) ESRD, defined as eGFR < 15 ml/(min·1.73 m2) or initiation of renal replacement therapy (hemodialysis, peritoneal dialysis, renal transplantation); (2) serum creatinine doubled from baseline; (3) eGFR decreased by more than 50% from baseline. The predictive value was determined by the area under the curve (AUC). Kaplan-Meier and Cox proportional hazards analyses assessed renal progression and prognosis. After 38 (26-54) months of follow-up, 23 patients (10.3%) experienced renal composite outcomes. Kaplan-Meier survival curve analysis showed that the renal survival rate of the IgAN patients with FT4<15.18pmol/L was lower than that with FT4≥15.18pmol/L (P < 0. 001). Multivariate Cox regression model analysis showed that FT4 was a protective factor for poor prognosis of IgAN patients, whether as a continuous variable or a categorical variable (HR 0.68, 95%CI 0.51-0.90, P =0.007; HR 0.04, 95%CI 0.01-0.20, P <0.001). ROC curve analysis showed that FT4 combined with t score had a high predictive value for poor prognosis of IgAN patients (AUC=0.881, P<0.001). FT4 was a protective factor for IgAN. In addition, FT4 combined with tubular atrophy/interstitial fibrosis had a high predictive value for poor prognosis of IgAN.

Swimming behavior affects ingestion of microplastics by fish

Microplastics (< 5 mm) are widely found in organisms and have the potential harm to ecosystems. Despite their widespread prevalence in environments, there is high individual varation in the abundance of microplastics found in individuals of the same species. In the present study, juvenile cichlid fish (Chindongo demasoni) were chosen to determine the ingestion personality for microplastics in the laboratory. The visible implant fluorescent tags were used for individual recognition. The fish were fed with microplastic fiber, pellet, and food for comparison. Our results showed that the observation of the behaviors of fish could be successfully matched with subsequent measurements for each individual through the tag method in microplastic research. The difference in the abundance of fiber (0–27 items/ind.) among fish individuals was also observed in our study. Meanwhile, the abundance of fiber showed a positive correlation with the average speed and covered area of fish, which indicates the degree of activity of fish. Moreover, fish with higher speed or a front position had higher capturing times for pellet. Our results suggest that the swimming behaviors of fish affect their ingestion of microplastics, and active fish had a higher likelihood of ingesting microplastics, which might be one of the reasons for the common phenomena, i.e., great individual differences observed in microplastic studies.

Plenary F: Timing of Influences on Brain and Cognition: a Lifespan Perspective

Abstract &amp; Learning Objectives:Brain and cognition vary and change markedly across the lifespan. I use magnetic resonance imaging and cognitive data to show that while general age trends can be identified in brain and cognition, there are great individual differences through life, and these are influenced by several factors, including at early life stages. Hence, in some respects, aging starts in the womb. Recognizing and understanding the impact of early relative to later stage factors on neurocognitive lifespan differences, changes and aging is a major challenge. Adequately meeting this challenge is crucial both to understand the mechanisms at work early in life, and to identify what and how residual variance may be affected by later life factors. Thus, knowledge of the timing of influences on brain and cognition along the lifespan is needed to develop realistic plans for prevention and intervention to optimize brain and cognition at different ages. I discuss how example factors such as prenatal drug exposure, birth weight, genetics, education, income, and “baseline” general cognitive ability, as well as cognitive training interventions relate to differences and/or changes in the human brain along the lifespan.Example findings are drawn from the studies of the Center for Lifespan Changes in Brain and Cognition (LCBC), where we follow individuals ranging in age from 0 to 100 years. Our studies are in part linked to Norwegian registry data, including the Mother, Father and Child Cohort study (Moba), the Norwegian Twin Registry and the Medical Birth Registry. Linkage to registry data on normal variation of pre-and perinatal characteristics, as well as studies of groups with known early biomedical risk, such a prenatal drug exposure, enable investigation of the possible impact of neurodevelopmental factors on brain and cognitive function through the entire life course. I also discuss how genetically informed studies of brain and cognition sampling broader age spans may contribute to our understanding of the timing of influences. Selectivity of samples constitute a challenge to generalizability in all human research. I discuss how research across international databases can, beyond boosting power and detect consistency of effects, help us appreciate there are diverse associations of possible factors of influence on different groups. This is crucial, as we need to understand to what extent various factors’ association with brain and cognition are universal or cohort-specific, prior to mechanistic understanding. Thus, in this presentation, I will discuss how transdisciplinary, longitudinal, multi-method, and multi-cohort research can illuminate factors that may influence brain and cognition, and their potential timing, in a lifespan perspective.Upon conclusion of this course, learners will be able to:1.Recognize that differences in brain and cognition even at advanced age may reflect early life factors, rather than, or in addition to, differences in brain and cognitive change with age2.Describe consistency as well as diversity of factors’ (such as SES) associations with brain and cognition across cohorts of different age and origin.3.Evaluate differences in factors present early in life, including at birth (“different offset”) before attributing variance in brain and cognitive function to changes with age (“different slope”)

Relationship between orthodontic treatment and root resorption

As one of the common complications of orthodontic treatment, external apical root resorption (EARR) often occurs during orthodontic treatment. This paper systematically elaborates the degree classification of EARR and the biological mechanism of root resorption in orthodontic treatment. At the same time, orthodontic root resorption is caused by a variety of factors. They are not only affected by genetic and environmental factors, but also by great individual differences. This paper summarizes the factors influencing the root resorption of orthodontic teeth and the prognosis of root resorption. This paper also provides some suggestions for the prevention and treatment of root resorption in the process of orthodontics, in order to provide guidance and help for the clinical work of orthodontists.

Busulfan-induced hepatic sinusoidal endothelial cell injury: Modulatory role of pirfenidone for therapeutic purposes

Transplantation conditioning using Busulfan has been known to cause hepatotoxicity, which has great individual differences. Some have mild symptoms like the increase of hepatic drug-metabolizing enzyme, while others may have very serious ones, like hepatic sinusoidal obstruction syndrome. However, simply controlling the exposure of Busulfan may not effectively prevent or reduce the occurrence of hepatic sinusoidal obstruction syndrome. The occurrence of hepatic sinusoid obstruction syndrome is closely related to hepatic sinusoidal endothelial cells (HSECs). The objective of this study is to investigate the potential protective effect of Pirfenidone against Busulfan-induced damage to hepatic sinusoidal endothelial cells and to preliminarily explore the mechanisms underlying this protective effect. Our results indicate that Pirfenidone has a great protective effect on the injury induced by Busulfan. In addition, Busulfan increased the relative mRNA expression of transforming growth factor-β1 (TGF-β1), collagen and tissue inhibitor of metalloproteinase-1 in HSECs. After pretreatment with Pirfenidone, the expression level of TGF-β1 was down-regulated. Mechanically, Pirfenidone primarily improves liver fibrosis by inhibiting collagen formation and hepatic stellate cell activation, thereby providing a protective effect on HSECs damaged by Busulfan. Therefore, Pirfenidone may reduce the hepatotoxicity caused by transplantation conditioning regimens based on Busulfan.

Study on the Relationship between Self-Control and CET-4 from the Perspective of Positive Psychology

In recent years, the perspective of positive psychology has been highlighted in the new trend of second language acquisition research. Self-control is one of the important variables that affect the success of second language acquisition by foreign language learners. Guided by June P. Tangney's theory of self-control, this study explores the relationship between self-control and CET-4 scores of 189 Chinese non-English majors. Its main contents include investigating the level of students' current self-control abilities; whether there are individual differences and gender differences; whether there is an imbalance in the five self-control dimensions; whether there is a correlation between students' self-control abilities and CET-4 test scores. The results show that: 1) Students' self-control abilities are at the middle and slightly higher level, and there are great individual differences; In addition, reliability shows the highest score, but work Ethic is the lowest. 2) Students' self-control, self-discipline, deliberate/non-impulsive action, health habits and work ethic are significantly and positively correlated with their CET-4 scores. 3)There is no significant gender difference between self-control and CET-4. This experiment proves that there is a correlated relationship between self-control and CET-4. Students may better understand their own self-control abilities, which can help them apply useful strategies to improve foreign language learning performance, thereby increasing the effectiveness of second language acquisition.

Growth hormone treatment improves the development of follicles and oocytes in prepubertal lambs

BackgroundWhen prepubertal lambs are superovulated, the ovarian response to gonadotropin stimulation has great individual difference and the collected oocytes have lower developmental ability than that of adult ewes. Over the years, growth hormone (GH) has been used in assisted reproduction because it can improve the reproductive performance in humans and animals. However, the effect of GH on ovaries and oocytes of prepubertal lambs remains unclear.MethodsBefore and during follicle-stimulating hormone (FSH) superovulation of prepubertal lambs (4‒6-week-old), the lambs were treated with high (50 mg) or low dose (25 mg) of ovine GH in a long (5 days) or short (2 days) period. The recovered oocytes were used for in vitro maturation and fertilization, and several parameters of oocyte quality and development capacity were evaluated. The possible underlying mechanisms of GH action were explored by analysis of granulosa cell (GC) transcriptome, ovarian proteome and follicular fluid metabolome.ResultsTreatment of lambs with 50 mg GH over 5 days (long treatment) potentially promoted the response of lambs to superovulation and improved the development capacity of retrieved oocytes, consequently increasing the high quality embryo yield from lambs. A number of differently expressed genes or proteins were found in ovaries between GH-treated and untreated lambs. Cellular experiments revealed that GH reduced the oxidative stress of GCs and promoted the GC proliferation probably through activation of the PI3K/Akt signaling pathway. Finally, analysis of follicular fluid metabolome indicated that GH treatment altered the abundance of many metabolites in follicular fluid, such as antioxidants and fatty acids.ConclusionsGH treatment has a beneficial role on function of lamb ovaries, which supports the development of follicles and oocytes and improves the efficiency of embryo production from prepubertal lambs.

Face recognition ability can be predicted by microstructural properties of white matter: a study of diffusion tensor imaging (DTI).

There is a great individual difference in people's face recognition ability (FRA). This study aimed to reveal the neural mechanism underlying such individual differences. Elastic-net regression models were constructed to predict FRA based on the white matter (WM) microstructural properties. We found that FRA can be accurately predicted by the WM microstructural properties. For the right inferior longitudinal fasciculus (ILF) and bilateral arcuate fasciculus (AF), FRA was correlated negatively to fractional anisotropy (FA), but positively to radial diffusivity (RD). In contrast, for the corpus callosum forceps minor (CFM), FRA was correlated positively to FA, but negatively to RD. Such various patterns of the WM microstructural properties suggested a positive correlation between FRA and fiber diameter for the right ILF and bilateral AF, but a negative correlation between FRA and diameter of the CFM. These findings reflected that FRA was correlated positively to connectivities of the right ILF and bilateral AF, but negatively to those of the CFM. These findings not only confirmed the significant role of the right ILF in face recognition, but also revealed the involvement of the bilateral AF and CFM in face recognition, particularly implying the important role of hemisphere lateralization modulated by transcallosal connectivity in face recognition.

Temporal check‐all‐that‐apply on the sensory profiling of sucrose‐replaced sweetener blends of natural and synthetic origin

AbstractThe present study aimed to formulate sucrose‐replaced samples with natural or synthetic sweeteners, and to benchmark the temporal sensory profile of sucrose‐replaced samples to a control sample (100% sucrose). Acesulfame‐K, aspartame, erythritol, rebaudioside M, and sucralose replaced sucrose at four different levels (25%, 50%, 75%, and 100%) in aqueous solutions. A trained sensory panel evaluated the samples with temporal check‐all‐that‐apply. The sweeteners showed great individual differences in their ability to replace sucrose. Except for aspartame, the 25% sucrose replacement across all sweeteners was not significantly different from the control. Aspartame, erythritol, and sucralose showed no difference from sucrose for the 50% and 75% sucrose‐replaced samples. In contrast, a replacement of above 25% sucrose with acesulfame‐K and rebaudioside M resulted in significant variations in the aftertaste period resulting in bitter off‐taste and licorice off‐flavor, respectively, compared to the control. Conclusively, synthetic and natural sweeteners were able to partially replace sucrose without altering the temporal sensory profile.Practical ApplicationsThis study showed high variability of achievable sucrose replacement suggesting that the choice of sweetener is crucial for a successful replacement. Blends of sucralose or erythritol with sucrose was most suitable to mimic the sensory profile of sucrose. This can be applied by the food industry in the innovation of low energy food and beverage products with comparable sensory profiles to the sucrose counterparts.

Main Concepts in the Spoken Discourse of Persons with Aphasia: Analysis on a Propositional and Linguistic Level

Individuals produce discourse for various purposes as part of their daily functioning. Therefore, the ability to form a discourse should be one of the main goals of functional speech-language therapy for persons with aphasia (PwA). In addition to assessing the language skills required to form a discourse, it is important to analyse how PwA form general ideas that need to be narrated. This study had two specific aims: (1) to investigate the ability of PwA, with special consideration to the stage of their recovery—the acute and the chronic phase—to form main concepts in a discourse, and (2) to examine the relationship between the number of main concepts and different types of language measures related to productivity, informativeness, and grammaticality in all tested groups. Participants included a total of 38 persons with mild and moderate aphasia (19 in the acute and 19 in the chronic phase of recovery) and 38 healthy speakers (HS) who were matched in age, gender, and level of education. In order to effectively compare the discourse produced by the groups, a single structured stimulus was used, whereby all participants were asked to orally describe a picture from the Croatian version of the Comprehensive Aphasia Test. Compared to the HS, the main concepts produced by PwA were different in number, as well as in terms of their accuracy and completeness. However, when analysing the success in the production of the main concepts with regard to the time post-stroke—acute and chronic—the difference was not confirmed, indicating great individual differences between PwA that undermine the differences on a group level. Linguistic measures of informativeness (CIUs and CIU/words) and only one measure of grammaticality (number of clauses) showed a significant correlation with the number of main concepts in PwA. When analysing correlations for PwA in the acute and chronic phases, only CIU showed a significant association with MC, confirming it as a robust measure of discourse production in PwA. PwA did not produce long and complex sentences, and they showed difficulties in the use of verbs and the marking of argument structures.

Intelligent prediction of sudden cardiac death based on multi-domain feature fusion of heart rate variability signals

Background and objectiveSudden cardiac death (SCD) is one of the leading causes of death in cardiovascular diseases. Monitoring the state of the heart in real time and giving early warning of possible dangers by using ambulate electrocardiogram signals are the keys to prevent cardiovascular death. However, due to the diversity inducing factors of SCD and great individual differences, accurate prediction of SCD using electrocardiogram is a hard task, especially applied in portable electrocardiograph.MethodsThis paper proposed a multi-domain features fusion algorithm to predict SCD. Heart rate variability (HRV) signals was used to investigate the characters of SCD. A multiscale variation feature extracted from multiscale poincare plots was proposed to demonstrate the dynamic changes of HRV along different scales. A time-domain feature, Shannon entropy and this multiscale variation feature were combined by using SVM classifier to classify SCD. HRV signals from different time periods prior to SCD onset were used to test the effectiveness of the SCD prediction algorithm. And the dynamic variation characteristics of SCD prediction accuracy for each minute were also studied.ResultsIn the prediction of SCD using the 70-min HRV signals before the onset of SCD, the average prediction accuracy only using the multiscale variation feature reached to 85.83%, which verified the effectiveness and high specificity of this multiscale variation feature. By combining time domain, Shannon entropy and the multiscale variation feature, the average prediction accuracy was improved to 91.22%. Through fusing multi-domain feature extracted in this paper, the advance prediction time was increased to 70 min before the onset of SCD.ConclusionsA feature with high sensitivity and specificity is proposed to predict SCD. By fusing multi-domain features of HRV signals, a high prediction accuracy is achieved and the advance prediction ability is improved. The algorithm is low computational complexity and easy to integrate into cardiovascular intelligent monitoring equipment, making the intelligent monitoring and real-time early warning of SCD becomes possible.

Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning.

Electroencephalogram (EEG)-based motor imagery (MI) classification is an important aspect in brain-computer interfaces (BCIs), which bridges between neural system and computer devices decoding brain signals into recognizable machine commands. However, due to the small number of training samples of MI electroencephalogram (MI-EEG) for a single subject and the great individual differences of MI-EEG among different subjects, the generalization and accuracy of the model on the specific MI task may be poor. To solve these problems, an adaptive cross-subject transfer learning algorithm is proposed, which is based on kernel mean matching (KMM) and transfer learning adaptive boosting (TrAdaBoost) method. First, the common spatial pattern (CSP) is used to extract the spatial features. Then, in order to make the feature distribution more similar among different subjects, the KMM algorithm is used to compute a sample weight matrix for aligning the mean between source and target domains and reducing distribution differences among different subjects. Finally, the sample weight matrix from KMM is used as the initialization weight of TrAdaBoost, and then TrAdaBoost is used to adaptively select source domain samples that are closer to the target task distribution to assist in building a classification model. In order to verify the effectiveness and feasibility of the proposed method, the algorithm is applied to BCI Competition IV datasets and in-house datasets. The results show that the average classification accuracy of the proposed method on the public datasets is 89.1%, and the average classification accuracy on the in-house datasets is 80.4%. Compared with the existing methods, the proposed method effectively improves the classification accuracy of MI-EEG signals. At the same time, this paper also applies the proposed algorithm to the in-house dataset, the results verify the effectiveness of the algorithm again, and the results of this study have certain clinical guiding significance for brain rehabilitation.

The Importance of Early Identification for Parkinson's Disease Patients with Postural Instability and Gait Disturbance.

More and more evidence-based medicine has proved that Parkinson's disease (PD) patients of tremor-dominant (TD) and postural instability and gait difficulty (PIGD) subtype express great individual differences and heterogeneity. Early identification of different subtypes may be an important way to delay disease progression and improve patients' prognosis. The study aimed to compare the spectrum of motor symptoms (MS) and nonmotor symptoms (NMS) between TD and PIGD dominant in the early and middle stages of PD, and determine predictive factors that are associated with different motor subtypes. 292 PD patients in this study were divided into TD-PD and PIGD-PD, and the clinical characteristics between different motor subtypes were compared based on scales related to sleep, mood, and autonomic function. Univariate and multivariate ordered logistic regression analyses were used to analyze the independent influencing factors of disease severity between different motor subtypes. Through the establishment of binary logistic regression model, the potential independent risk factors for distinguishing TD-PD and PIGD-PD were studied. Compared with TD subtype, patients with PIGD subtype have longer course of disease, higher disease severity, and higher daily dosage of levodopa. The severity of nontremor motor symptoms in PIGD-PD is greater than that of TD subtype. Only PIGD score was independently associated with disease severity for the two motor subtypes. Meanwhile, high scores (LED, total UPDRS, PIGD score, gastrointestinal, thermoregulatory, RBDSQ) and low tremor scores were the potential independent risk factors for distinguishing PIGD-PD from TD-PD. Specific nonmotor symptoms (RBD, gastrointestinal function and thermoregulation function) were associated with the PIGD subtype. Prompt detection and early treatment of NMSs related to the PIGD subtype based on the treatment of motor symptoms may improve patient outcomes.

Valproic acid determination by liquid chromatography coupled to mass spectrometry (LC-MS/MS) in whole blood for forensic purposes.

Valproic acid (VPA) is a well-known drug prescribed as anti-epileptic. It has a narrow therapeutic range and shows great individual differences in pharmacodynamics and pharmacokinetics. Consequently, the therapeutical drug monitoring (TDM) in patient's plasma is of crucial importance. Liquid chromatography coupled to mass spectrometry (LC-MS/MS) has gained importance in TDM applications for its features of sensitivity, selectivity and rapidity. However, in case of VPA, the LC-MS/MS selectivity could be hampered by the lack of a sufficient number of multiple reaction monitoring (MRM) transitions describing the molecule. In fact, the product ion scan of deprotonated molecules of VPA does not produce any ion and thus most LC-MS/MS methods are based on the detection of the unique MRM transition m/z 143➔143. In this way, the advantages of selectivity in LC-MS cannot be effectively exploited. In the present method, stable analyte adducts were exploited for the determination of VPA in blood. An Acquity HSS C18 column and mobile phases consisting of 5-mM ammonium formate and acetonitrile both added 0.1% formic acid were used. Source worked in negative acquisition mode and parameters were optimized to increase the adduct (m/z 189) and dimer (m/z 287) stability, and their fragmentation were used to increase the selectivity of MRM detection. The method has been validated according to the toxicological forensic guidelines and successfully applied to 10 real blood samples. Finally, the present method showed suitable for the rapid LC-MS/MS detection of VPA in whole blood, demonstrating the possibility to increase specificity by exploiting stable in-source adducts. This should be considered of utmost importance in the case of forensic applications.

The impact of local colleges' interference in middle school students' family psychological intervention on the psychological health status of students learning at home - a case study of northern Guangdong.

Using college psychological resources, this paper attempts to intervene in the family psychology of middle school students learning at home during the epidemic in northern Guangdong. Focusing on the impact of family system on the psychological health status of middle school students learning at home, it provides reference for targeted family psychological intervention and treatment of students. The "Psychological Health Survey Questions for Middle School Students Learning at Home during the Epidemic" was compiled to conduct a class-based random sampling survey of primary and secondary schools in northern Guangdong. Family psychological intervention is provided for key groups. (1) The middle school students' psychological health level was above average on the whole, but with great individual differences. (2) Families have a significant impact on students' psychological health, among which parents' occupation, family integrity, family economy, family atmosphere, and the number of children in the family all exert a significant impact on middle school students' psychological health. (3) Stepwise regression analysis reveals that the six factors of gender, grade, ethnicity and place of residence, family economy and atmosphere in the family environment system are included in the regression equation, explaining 11.6% of middle school students' psychological health. (4) Family psychological intervention significantly improves middle school students' psychological health. Local colleges' interference in middle school students' family psychological intervention can effectively improve psychological health of middle school students learning at home. Society, families and schools should value family psychological construction, and effectively unite social forces to jointly promote students' psychological health.

Application of three-dimensional printing technology in treatment of limb bone tumors

With the developing of three-dimensional (3D) printing technology, it is widely used in the treatment of bone tumors in the clinical orthopedics. Because of the great individual differences in the location of bone tumor, resection and reconstruction are difficult. Based on 3D printing technology, the 3D models can be prepared to show the anatomical part of the disease, so that the surgeons can create a patient-specific operational plans based on better understand the local conditions. At the same time, preoperative simulation can also be carried out for complex operations and patient-specific prostheses can be further designed and prepared according to the location and size of tumor, which may have more advantages in adaptability. In this paper, the domestic and international research progress of 3D printing technology in the treatment of limb bone tumors in recent years were reviewed and summarized.

EXPLORING THE INFLUENCE OF ANXIETY SENSITIVITY ON COLLEGE ENGLISH LEARNING -BASED ON THE LEARNING ATTACHMENT STYLES

EXPLORING THE INFLUENCE OF ANXIETY SENSITIVITY ON COLLEGE ENGLISH LEARNING -BASED ON THE LEARNING ATTACHMENT STYLES

0271 Actigraphy Based Measures of Sleep Disruption and Circadian Rhythms in the WashU Biomarkers of Alzheimer’s Disease in Sleep and EEG (BASE) Cohort

Abstract Introduction Prospective studies of Alzheimer’s disease (AD) demonstrate sleep-wake disturbances may precede and accelerate with cognitive decline. Use of wrist-actigraphy in conjunction with overnight polysomnography (PSG) enables researchers to evaluate diverse characteristics of sleep and circadian rhythms. Though outcome measures from these devices have been implicated in the progression of AD, because of great individual differences, it is valuable to internally replicate within cohort. Here we demonstrate application of actigraphy in the context of healthy aging to identify patterns of activity that predict cognitive decline. Methods Participants were prospectively recruited at Washington University as part of the BASE study and wore an Actiwatch2 (Philips-Respironics) and cross-validated for sleep and wake using polysomnography. The watch was worn continuously for at least 5 consecutive nights to be included in the analysis (n = 68, age = 71.1 ± 4.5 years). Rest-activity rhythms were computed using compiled code from National Sleep Research Resource (actiCircadian) pipeline implemented in MATLAB R2021a (Mathworks). Clinical Dementia Rating (CDR) scales and cognitive tests were conducted on the first day of actigraphy recording. Results Individuals with cognitive impairment (CDR Global Score &amp;gt; 0) had increased wake after sleep onset (WASO) and reduced sleep efficiency compared with individuals with no impairment (CDR = 0). (unpaired ttest: p = 0.02 and p = 0.02). Participants with cognitive impairment had a trend toward reduced relative amplitude (RA) (p = 0.06). Reduced (worse) RA was correlated with worse performance on the Trail Making Task A (Pearson r: -0.37, p = 0.002). Higher (better) interdaily Stability (IS) was associated with better responses on subjective questionnaires including Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index (Pearson r: -0.24 p = 0.051; r: 0.242, p = 0.047, respectively). Conclusion Actigraphically-derived rest-activity metrics are correlated with cognitive status, cognitive test performance, and subjective sleep questionnaires. Support (If Any) NIH R01 AG059507, ARCS Foundation Scholar