Social anxiety and social networking service addiction proneness among university students: A moderated mediation model of narcissism and gender.

This study aims to investigate the mediation effect of narcissism and the mediation effect moderated by gender in the effect of social anxiety on university students' SNS addiction. In this cross-sectional survey, university students, aged 19 to 29 were selected from two provinces in South Korea. The sample size was calculated using G*power 3.1., and a sample of 170 university students was used in the final analysis. To perform the analysis, descriptive statistics; independent t-test, one-way ANOVA, and Pearson's correlation were used. The data collected was statistically analyzed using SPSS Program 23.0 and SPSS PROCESS macro (version 4.0). The moderated mediation effect was significant in both male and female groups. The mediation effect of narcissism on the relationship between social anxiety and SNS addiction proneness was stronger in the female group than in the male group. The findings have the potential to provide substantial basic data for developing health promotion and education programs to reduce university students' social anxiety, narcissism, and SNS addiction.

The Impact of Work-Family Conflict on Depression Among Korean Women During the COVID-19 Pandemic: Moderated Mediating Effect of Job Satisfaction.

Purpose: This study aims to examine the mediating effect of life stress and the moderated mediating effect of job satisfaction on work-family conflict and depression among working mothers during the COVID-19 pandemic. Methods: A secondary analysis was conducted using raw data from Wave 8 of the Korean Longitudinal Survey of Women and Families, collected during the COVID-19 pandemic in 2021. Among the 9175 respondents, study included 1315 women aged between 26 and 55, who have children cohabiting with them. Data analysis involved descriptive statistics; T-test, ANOVA, and Pearson's correlation. The analysis was conducted using the SPSS/WIN 26.0 program and the SPSS PROCESS macro (version 4.0). Results: Life stress was observed to have a significant mediating effect (indirect effect) on work-family conflict and depression. Within this indirect effect, job satisfaction was found to play a moderated mediating role. Conclusion: Drawing from these findings, various interventional strategies can be devised to alleviate work-family conflict and life stress, and enhance job satisfaction, thereby improving the mental health of working mothers. Additionally, these results offer valuable insights for developing mental health promotion programs aimed at preventing and preparing for crises such as infectious diseases and can contribute to inform health policy-making.

Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface.

Human affects such as emotions, moods, feelings are increasingly being considered as key parameter to enhance the interaction of human with diverse machines and systems. However, their intrinsically abstract and ambiguous nature make it challenging to accurately extract and exploit the emotional information. Here, we develop a multi-modal human emotion recognition system which can efficiently utilize comprehensive emotional information by combining verbal and non-verbal expression data. This system is composed of personalized skin-integrated facial interface (PSiFI) system that is self-powered, facile, stretchable, transparent, featuring a first bidirectional triboelectric strain and vibration sensor enabling us to sense and combine the verbal and non-verbal expression data for the first time. It is fully integrated with a data processing circuit for wireless data transfer allowing real-time emotion recognition to be performed. With the help of machine learning, various human emotion recognition tasks are done accurately in real time even while wearing mask and demonstrated digital concierge application in VR environment.

Triboelectric Nanogenerators Based on Fluid Medium: From Fundamental Mechanisms toward Multifunctional Applications.

Fluid-based triboelectric nanogenerators (FB-TENGs) are at the forefront of promising energy technologies, demonstrating the ability to generate electricity through the dynamic interaction between two dissimilar materials, wherein at least one is a fluidic medium (such as gas or liquid). By capitalizing on the dynamic and continuous properties of fluids and their interface interactions, FB-TENGs exhibit a larger effective contact area and a longer-lasting triboelectric effect in comparison to their solid-based counterparts, thereby affording longer-term energy harvesting and higher-precision self-powered sensors in harsh conditions. In this review, various fluid-based mechanical energy harvesters, including liquid-solid, gas-solid, liquid-liquid, and gas-liquid TENGs, have been systematically summarized. Their working mechanism, optimization strategies, respective advantages and applications, theoretical and simulation analysis, as well as the existing challenges, have also been comprehensively discussed, which provide prospective directions for device design and mechanism understanding of FB-TENGs.

Highly Compressible 3D-Printed Soft Magnetoelastic Sensors for Human-Machine Interfaces.

Incorporating perception into robots or objects holds great potential to revolutionize daily human life. To achieve this, critical factors include the design of an integrable three-dimensional (3D) soft sensor with self-powering capability, a wide working range, and tuneable functionalities. Here, we introduce a highly compressible 3D-printed soft magnetoelastic sensor with a wide strain sensing range. Inspired by the lattice metamaterial, which offers a highly porous structure with tuneable mechanical properties, we realized a remarkably compliant 3D self-powering sensor. Using magnetoelastic composite materials and 3D printing combined with sacrificial molding, a broad design space for constituent materials and structures is investigated, allowing for tuneable mechanical properties and sensor performances. These sensors are successfully integrated with two robotic systems as the robot operation and perception units, enabling robot control and recognition of diverse physical interactions with a user. Overall, we believe that this work represents a cornerstone for compliant 3D self-powered soft sensors, giving impetus to the development of advanced human-machine interfaces.

Distinction of Male and Female Trees of Ginkgo biloba Using LAMP.

Ginkgo biloba is utilized as food, medicine, wood, and street trees among other things. The objective of this study was to develop a loop-mediated isothermal amplification (LAMP) assay for gender distinction of G. biloba. Male-specific SCAR gene can be utilized to identify G. biloba gender using LAMP. The optimized LAMP conditions, temperature 60 °C, 2-mM MgSO4, and [F3/B3]:[FIP/BIP] primer ratio of 1:4 were selected as final conditions. The G. biloba SCAR LAMP displayed a sensitivity of 10 ng when amplified by concentration under the optimum conditions. Additionally, it demonstrated a particular response in male with SYBR Green I in LAMP analysis that can be a more powerful tool for field and scale-up applications. Our work represents a first attempt to identify G. biloba gender using LAMP and offers an efficient and reliable tool for roadside landscaping.

Screening of novel peptides that specifically interact with vitamin D bound biocomplex proteins.

The majority of the vitamin D that is present in the blood binds to vitamin D binding protein (VDBP) and circulates in the form of a complex (VDBP-Complex). Knowing the level of vitamin D in the body is crucial for vitamin D-related treatments so that the right dosage of vitamin D can be given. In other words, it is essential to distinguish between the protein VDBP and the complex form bound to vitamin D. As a novel way for the detection of VDBP-Complex, a more effective phage display methodology was applied in this study along with the addition of two approaches. In order to screen a sequence specific to the target only, the pre-binding method and after-binding method were performed. VDBP-Complex was directly coated on the petri dishes. In order to select phages that specifically bind to the VDBP-Complex, random phages were attached, and selected by 7 times of biopanning. Individual DNA sequences were analyzed for each biopanning to find specific peptide sequences for VDBP-Complex. The affinity of binding phages was verified by ELISA assay using an anti-M13 antibody. The phage having a sequence of SFTKTSTFTWRD (called as M3) has shown the highest binding affinity to VDBP-Complex. As a result of the removal test of VDBP-Complex using magnetic beads conjugated with M3 peptide, it was confirmed that significant decrease of VDBP-Complex. The unique characteristic of the M3 sequence was confirmed through a sequence-modified peptide (SFT motif). That is, it is expected that the M3 peptide may be used to determine the vitamin D levels in the blood.

Cardiac biomarkers and detection methods for myocardial infarction.

Background: A significant heart attack known as a myocardial infarction (MI) occurs when the blood supply to the heart is suddenly interrupted, harming the heart muscles due to a lack of oxygen. The incidence of myocardial infarction is increasing worldwide. A relationship between COVID-19 and myocardial infarction due to the recent COVID-19 pandemic has also been revealed. Objective: We propose a biomarker and a method that can be used for the diagnosis of myocardial infarction, and an aptamer-based approach. Results: For the diagnosis of myocardial infarction, an algorithm-based diagnosis method was developed using electrocardiogram data. A diagnosis method through biomarker detection was then developed. Conclusion: Myocardial infarction is a disease that is difficult to diagnose based on the aspect of a single factor. For this reason, it is necessary to use a combination of various methods to diagnose myocardial infarction quickly and accurately. In addition, new materials such as aptamers must be grafted and integrated into new ways. Purpose of Review: The incidence of myocardial infarction is increasing worldwide, and some studies are being conducted on the association between COVID-19 and myocardial infarction. The key to properly treating myocardial infarction is early detection, thus we aim to do this by offering both tools and techniques as well as the most recent diagnostic techniques. Recent Findings: Myocardial infarction is diagnosed using an electrocardiogram and echocardiogram, which utilize cardiac signals. It is required to identify biomarkers of myocardial infarction and use biomarker-based ELISA, SPR, gold nanoparticle, and aptamer technologies in order to correctly diagnose myocardial infarction.

Structure based innovative approach to analyze aptaprobe-GPC3 complexes in hepatocellular carcinoma.

BACKGROUND: Glypican-3 (GPC3), a membrane-bound heparan sulfate proteoglycan, is a biomarker of hepatocellular carcinoma (HCC) progression. Aptamers specifically binding to target biomolecules have recently emerged as clinical disease diagnosis targets. Here, we describe 3D structure-based aptaprobe platforms for detecting GPC3, such as aptablotting, aptaprobe-based sandwich assay (ALISA), and aptaprobe-based imaging analysis. RESULTS: For preparing the aptaprobe-GPC3 platforms, we obtained 12 high affinity aptamer candidates (GPC3_1 to GPC3_12) that specifically bind to target GPC3 molecules. Structure-based molecular interactions identified distinct aptatopic residues responsible for binding to the paratopic nucleotide sequences (nt-paratope) of GPC3 aptaprobes. Sandwichable and overlapped aptaprobes were selected through structural analysis. The aptaprobe specificity for using in HCC diagnostics were verified through Aptablotting and ALISA. Moreover, aptaprobe-based imaging showed that the binding property of GPC3_3 and their GPC3 specificity were maintained in HCC xenograft models, which may indicate a new HCC imaging diagnosis. CONCLUSION: Aptaprobe has the potential to be used as an affinity reagent to detect the target in vivo and in vitro diagnosing system.

Multiscale Engineering of Nanofiber-Aerogel Composite Nanogenerator with Tunable Triboelectric Performance Based on Multifunctional Polysuccinimide.

Multiscale polymer engineering, involving chemical modification to control their triboelectric polarities as well as physicomechanical modification to maximize charge transfer and structural durability, is paramount to developing a high-performance triboelectric nanogenerator (TENG). This report introduces a highly efficient and comprehensive strategy to engineer high-performance TENG based on multifunctional polysuccinimide (PSI). With the ability of PSI to undergo facile nucleophilic addition with amines, sodium sulfate and quaternary ammonium chlorides having opposite charged groups are conjugated to PSI in varying densities. The resulting Sulfo-PSI and TMAC-PSI, respectively, processed into nanofibrous films, demonstrate highly enhanced and variable triboelectric properties based on the charge type and density. To further enhance the mechanical toughness and biocompatibility necessary for wearable applications, these PSI nanofibers are processed into alginate aerogel (AG). The sustained triboelectric performance of this nanofiber-AG TENG as a wearable energy harvester and biosensor is examined and validated in detail.

Impact of hospital volume on people with disability and outcomes for cancer surgery.

BACKGROUND: This study was performed to examine the association between hospital volume and mortality in people with disability. METHODS: A retrospective cohort study was conducted using a data set linking the Korean National Health Service database, disability registration data, and Korean Central Cancer Registry data. Data was gathered from all patients undergoing the four major surgical procedures for cancer care during an 11-year period from 2003 to 2013. RESULTS: For all procedures, patients with disability were more likely to visit low-volume hospitals compared with those without disability. The 30-day mortality rate after each type of surgery at low-surgery-volume hospitals was higher in patients with disability; especially, the mortality rates after colectomy were 1.1% for patients without disabilities and 2.6% for patients severely disabilities. In univariate logistic regression analyses, patients with disability, especially those with severe or intellectual/psychological disabilities, were significantly less likely to undergo treatment at a high-volume hospital compared with patients without disability. In contrast, multiple logistic regression analysis indicated that patients with disability were significantly more likely to undergo gastrectomy (OR 3.76, 95% CI 1.64-8.58), colectomy (OR 3.08, 95% CI 1.46-6.48), and mastectomy (OR 3.92, 95% CI 1.25-12.33) at a high-volume hospital compared with patients without disability. CONCLUSION: Public health policies should focus on patients with disability to reduce health disparities and educate health care professionals, as well as the patients and their families, to alleviate negative perceptions about the need for equal diagnosis and treatment.

Structural Equation Model of Elementary School Students' Quality of Life Related to Smart Devices Usage Based on PRECEDE Model.

Korean elementary school students have the lowest life satisfaction levels among OECD countries. The use of smart devices has led to smartphone addiction, which seriously affects their quality of life. This study aims to establish and test variables that affect the quality of life (QOL) of elementary school students based on the Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) model, using smart device-related parental intervention, self-efficacy, social support, health promotion behaviors, family environment, smart device addiction, and QOL as measurement variables. Three elementary schools in the Republic of Korea completed self-report questionnaires. Descriptive statistical analysis and hypothetical model fit and test were used for data analysis. The model was found to be valid. Smart device addiction directly affected QOL. In contrast, health promotion behaviors, self-efficacy, social support, and smart device parental intervention indirectly affected QOL. Health-promoting behaviors also directly affected smart device addiction, self-efficacy, and family environment had a direct effect on health-promoting behavior. Therefore, to improve the QOL of elementary school students, the government should focus on developing programs that can help them actively perform health promotion activities and improve self-efficacy, social support, and parental intervention for smart devices that indirectly affect them.

3D-printed programmable tensegrity for soft robotics.

Tensegrity structures provide both structural integrity and flexibility through the combination of stiff struts and a network of flexible tendons. These structures exhibit useful properties: high stiffness-to-mass ratio, controllability, reliability, structural flexibility, and large deployment. The integration of smart materials into tensegrity structures would provide additional functionality and may improve existing properties. However, manufacturing approaches that generate multimaterial parts with intricate three-dimensional (3D) shapes suitable for such tensegrities are rare. Furthermore, the structural complexity of tensegrity systems fabricated through conventional means is generally limited because these systems often require manual assembly. Here, we report a simple approach to fabricate tensegrity structures made of smart materials using 3D printing combined with sacrificial molding. Tensegrity structures consisting of monolithic tendon networks based on smart materials supported by struts could be realized without an additional post-assembly process using our approach. By printing tensegrity with coordinated soft and stiff elements, we could use design parameters (such as geometry, topology, density, coordination number, and complexity) to program system-level mechanics in a soft structure. Last, we demonstrated a tensegrity robot capable of walking in any direction and several tensegrity actuators by leveraging smart tendons with magnetic functionality and the programmed mechanics of tensegrity structures. The physical realization of complex tensegrity metamaterials with programmable mechanical components can pave the way toward more algorithmic designs of 3D soft machines.

Strategies for ultrahigh outputs generation in triboelectric energy harvesting technologies: from fundamentals to devices.

Since 2012, a triboelectric nanogenerator (TENG) has provided new possibilities to convert tiny and effective mechanical energies into electrical energies by the physical contact of two objects. Over the past few years, with the advancement of materials' synthesis and device technologies, the TENGs generated a high instantaneous output power of several mW/cm2, required to drive various self-powered systems. However, TENGs may suffer from intrinsic and practical limitations such as air breakdown that affect the further increase of the outputs. This article provides a comprehensive review of high-output TENGs from fundamental issues through materials to devices. Finally, we show some strategies for fabricating high-output TENGs.

The Progress of PVDF as a Functional Material for Triboelectric Nanogenerators and Self-Powered Sensors.

Ever since a new energy harvesting technology, known as a triboelectric nanogenerator (TENG), was reported in 2012, the rapid development of device fabrication techniques and mechanical system designs have considerably made the instantaneous output power increase up to several tens of mW/cm². With this innovative technology, a lot of researchers experimentally demonstrated that various portable/wearable devices could be operated without any external power. This article provides a comprehensive review of polyvinylidene fluoride (PVDF)-based polymers as effective dielectrics in TENGs for further increase of the output power to speed up commercialization of the TENGs, as well as the fundamental issues regarding the materials. In the end, we will also review PVDF-based sensors based on the triboelectric and piezoelectric effects of the PVDF polymers.

Molecular Docking Analysis and Biochemical Evaluation of Levansucrase from Sphingobium chungbukense DJ77.

Bacterial exopolymer Levan (ß-(2,6) polyfructan) synthesized by levansucrase has attracted interest for various applications due to its low intrinsic viscosity compared with other polysaccharides. We report a novel levansucrase (Lsc) isolated from Sphingobium chunbukense DJ77 and verify its biochemical characteristics by comparative analysis of molecular docking analysis (MOE) and catalytic residue analysis. The complete sequence of the Lsc encoding gene ( lsc) was cloned under the direction of the T7 promoter and purified in an Escherichia coli BL21 (DE3) protein expression system. The enzyme activity analysis and ligand docking MOE study of S. chungbukense DJ77 Lsc revealed that Arg 77, Ser112, Arg 195, Asp196, Glu257, and Gln275 were involved in the sucrose binding and splitting as well as transfructosylation activity. A catalytic comparison of Lsc of S. chungbukense DJ77 with the results of site-directed mutational analysis indicated that Gln275 may coordinate a favorable substrate binding environment, offering broad pH resistance in the range of 5-10. The results suggest that the recombinant E. coli carrying S. chungbukense DJ77 Lsc might produce levan under the regular growth conditions with less need for pH manipulation.

Relationships of comorbidities and old age with postoperative complications of head and neck free flaps: A review.

The aim of this study was to determine the relationships between free flap complications and old age or comorbidities. In a PubMed and Scopus search, the search terms (1) free flap OR microvascular anastomosis AND (2) elderly OR old age AND (3) complications OR comorbidity OR co-morbidity were used. Among the 62 full-text articles from 241 abstracts, 31 papers without sufficient content were excluded and 10 mined papers were added. Subsequently, 41 papers were reviewed. Overall complication rates of free flap increased significantly with age (p < 0.001; y = 0.457x + 13.464; 40.9% at 60 years, 45.5% at 70 years, and 50.0% at 80 years). Flap survival rates increased significantly (p < 0.001; y = 0.025x + 93.876). Donor site complication rates also increased significantly with age (p < 0.001; y = 1.238x - 63.700; 10.9% at 60 years, 23.0% at 70 years, and 35.3% at 80 years). The Kaplan-Feinstein index (KFI, OR = 7.944, 9.563), the Adult Comorbidity Evaluation-27 (ACE-27, OR = 5.854), the American Society of Anesthesiologists score (ASA, OR = 4.397), and the Index of Coexistent Diseases score (ICED, OR = 3.584) had statistically significant impacts on flap survival (p < 0.05). Diabetes (OR = 4.562) and chronic obstructive pulmonary disease (OR = 2.300) had statistically significant negative impacts on the flap survival rate (p < 0.05). Elderly patients had significantly higher Charlson Comorbidity Index (CCI) and ASA scores (p < 0.001). Similarly, elderly patients exhibited a significantly higher prevalence of dementia (p < 0.001) and use of aspirin at the time of surgery (p < 0.001). On the basis of these results, we suggest that the incidence of complications is directly related to the preoperative medical condition of an individual patient rather than to age.

Identification of 3-acetyl-2-aminoquinolin-4-one as a novel, nonpeptidic scaffold for specific calpain inhibitory activity.

A series of 3-acetyl-2-aminoquinolin-4-one derivatives selected from the Korean Chemical Bank were screened for calpain inhibitory activity by using a high-throughput fluorimetric calpain assay. We identified a potent and selective mu-calpain inhibitor, compound 17, whose specificity and efficacy for mu-calpain inhibition was better than MDL28170. Docking studies revealed that the efficacy of its inhibitory effect on calpain depended on the size and charge properties of the substitutions on the phenylamino ring.

Modulation of chondrocytic properties of fat-derived mesenchymal cells in co-cultures with nucleus pulposus.

Human subcutaneous fat-derived mesenchymal cells recently have been shown to have the potential to differentiate in vitro into a variety of cell types, including adipocytes, osteoblasts, chondrocytes, and myoblasts. This effect suggests that fat tissue may serve as an abundant and easily acquired source of multipotent cells for tissue engineering. The multipotential characteristics of fat-derived mesenchymal cells from the inguinial fat pad of rabbit have not been clearly defined. In this study we have isolated a population of mesenchymal cells from inguinal fat from adult New Zealand white rabbits. The cells that were maintained under various differentiation conditions were shown to differentiate in vitro into adipocytes, osteoblasts, or chondrocytes; this differentiation was demonstrated using gene expression for tissue-specific proteins. We also co-cultured the cells with intervertebral disk tissue from the nucleus pulpous or from the annulus fibrosus. The fat-derived cells co-cultured with nucleus pulposus showed an increase in expression of type II collagen and aggrecan genes, compared with cells in alginate alone and cells co-cultured with annulus fibrosus. The data suggest that the fat-derived mesenchymal cells responded to soluble mediators from the disk. Future studies on intervertebral disk reconstruction could be based on our findings with fat-derived multipotential cells from the inguinal region of the rabbit that were co-cultured with disk tissue and may prove useful in tissue engineering strategies.