ATBS1-INTERACTING FACTOR 2 Positively Regulates Freezing Tolerance via INDUCER OF CBF EXPRESSION 1/C-REPEAT BINDING FACTOR-Induced Cold Acclimation Pathway.

The INDUCER OF CBF EXPRESSION 1/C-REPEAT BINDING FACTOR (ICE1/CBF) pathway plays a crucial role in plant responses to cold stress, impacting growth and development. Here, we demonstrated that ATBS1-INTERACTING FACTOR 2 (AIF2), a non-DNA-binding basic helix-loop-helix transcription factor, positively regulates freezing tolerance through the ICE1/CBF-induced cold tolerance pathway in Arabidopsis. Cold stress transcriptionally upregulated AIF2 expression and induced AIF2 phosphorylation, thereby stabilizing the AIF2 protein during early stages of cold acclimation. The AIF2 loss-of-function mutant, aif2-1, exhibited heightened sensitivity to freezing before and after cold acclimation. In contrast, ectopic expression of AIF2, but not the C-terminal-deleted AIF2 variant, restored freezing tolerance. AIF2 enhanced ICE1 stability during cold acclimation and promoted the transcriptional expression of CBFs and downstream cold-responsive genes, ultimately enhancing plant tolerance to freezing stress. MITOGEN-ACTIVATED PROTEIN KINASES 3 and 6 (MPK3/6), known negative regulators of freezing tolerance, interacted with and phosphorylated AIF2, subjecting it to protein degradation. Furthermore, transient co-expression of MPK3/6 with AIF2 and ICE1 downregulated AIF2/ICE1-induced transactivation of CBF2 expression. AIF2 interacted preferentially with BIN2 and MPK3/6 during the early and later stages of cold acclimation, respectively, thereby differentially regulating AIF2 activity in a cold acclimation time-dependent manner. Moreover, AIF2 acted additively in a gain-of-function mutant of BRASSINAZOLE-RESISTANT 1 (BZR1; bzr1-1D) and a triple knockout mutant of BRASSINOSTEROID-INSENSITIVE 2 (BIN2) and its homologs (bin2bil1bil2) to induce CBFs-mediated freezing tolerance. This suggests that cold-induced AIF2 coordinates freezing tolerance along with BZR1 and BIN2, key positive and negative components, respectively, of brassinosteroid signaling pathways.

Relationships among Symptoms, Disability, Type D Personality, and Quality of Life in Patients with Migraine: A Cross-Sectional Study in South Korea.

BACKGROUND: Type D personality as a personality vulnerable to stress consists of negative affectivity and social inhibition, and it is related to symptoms and decreased quality of life in patients with chronic illness. AIM: This study aimed to explore the relationships among migraine symptoms, disability, type D personality, and quality of life in patients with migraine. METHODS: A convenience sample of 135 patients with migraine was collected at the neurologic outpatient clinics of two tertiary hospitals in South Korea. Frequency and severity of migraine symptoms, Migraine Disability Assessment, type D personality, and quality of life were investigated using a structured questionnaire. A descriptive cross-sectional design was used. RESULTS: Sixty-one (45.2%) were classified as type D personality. The intensity of the most severe migraine and Migraine Disability Assessment scores in subjects with type D personality were significantly higher than those in subjects without type D personality. In addition, the quality of life score of subjects with type D personality was significantly lower than in subjects without type D personality. The intensity of the migraine, Migraine Disability Assessment score, and type D personality were significant factors influencing quality of life on stepwise multiple regression analysis. CONCLUSIONS: Type D personality was related to migraine symptoms, disability, and quality of life in patients with migraine.

Predictive Model of Self-management in Patients With Stroke Based on the Information-Motivation-Behavioral Skills Model.

BACKGROUND: Patients who had a stroke are required to manage risk factors, and self-management for risk factor control in stroke is essential. Recent studies using the information-motivation-behavioral skills model reported that the model is effective for predicting and explaining self-management behavior in chronically ill patients. OBJECTIVES: This study aimed to develop and verify the predictive model of self-management based on the information-motivation-behavioral skills model in patients with stroke. METHODS: This was a descriptive, cross-sectional study; path analysis was conducted to develop and verify the hypothesized predictive model. We recruited 242 patients who had a stroke using convenience sampling from the neurological outpatient clinic. RESULTS: The model's fit indices were adequate. Stroke self-management knowledge, social support, and self-efficacy had a direct effect on stroke self-management, and stroke self-management knowledge and attitude and social support had an indirect effect on stroke self-management, mediated by self-efficacy. Stroke self-management knowledge and attitude, social support, and self-efficacy explained 27.5% of the total variance in stroke self-management. CONCLUSIONS: The information-motivation-behavioral skills model is potentially a predictive model for self-management for patients who had a stroke. Considering the level of stroke knowledge and attitude, social support, and self-efficacy together may help to understand the required level of self-management. In addition, using this model for the development of self-management interventions for patients who had a stroke could be a strategy for improving self-management in patients with stroke.

Effect of Home-Based Self-Management Intervention for Community-Dwelling Patients with Early Parkinson's Disease: A Feasibility Study.

PURPOSE: This study aimed to evaluate the effect of a home-based self-management intervention in community-dwelling patients with early Parkinson's diseases (PD). DESIGN: A randomized-controlled design. METHODS: Thirty-two patients participated (15=intervention, 17=control), and the intervention group received 16 weeks of the intervention. FINDINGS: Physical activity and non-motor symptoms improved more in the intervention group than in the control group. CONCLUSION: Home-based self-management intervention was effective in improving physical activity and non-motor symptoms for them. CLINICAL EVIDENCE: Home-based intervention - comprising education, telephone counseling, smartphone-based message and information, and smart wearable devices - was feasible for patients with early PD.

Broussonin A- and B-mediated inhibition of angiogenesis by blockade of VEGFR-2 signalling pathways and integrin ß1 expression.

In the present study, we demonstrate the regulatory effects and mechanism of broussonin A and B, diphenylpropane derivatives isolated from Broussonetia kazinoki, on vascular endothelial growth factor-A (VEGF-A)-stimulated endothelial cell responses in vitro and microvessel sprouting ex vivo. Treatment with broussonin A or B suppressed VEGF-A-stimulated endothelial cell proliferation by regulating the expression of cell cycle-related proteins and the phosphorylation status of retinoblastoma protein. In addition, treatment with broussonin A or B abrogated VEGF-A-stimulated angiogenic responses including endothelial cell migration, invasion, tube formation and microvessel formation from rat aortic rings. These anti-angiogenic activities of broussonin A and B were mediated through inactivation of VEGF-A-stimulated downstream signalling pathways, localization of vascular endothelial-cadherin at cell-cell contacts, and down-regulation of integrin ß1 and integrin-liked kinase. Furthermore, treatment with broussonin A or B inhibited proliferation and invasion of non-small cell lung cancer and ovarian cancer cells. Taken together, our findings suggest the pharmacological potential of broussonin A and B in the regulation of angiogenesis, cancer cell growth and progression.

Hydrogel-Assisted 3D Volumetric Hotspot for Sensitive Detection by Surface-Enhanced Raman Spectroscopy.

Effective hotspot engineering with facile and cost-effective fabrication procedures is critical for the practical application of surface-enhanced Raman spectroscopy (SERS). We propose a SERS substrate composed of a metal film over polyimide nanopillars (MFPNs) with three-dimensional (3D) volumetric hotspots for this purpose. The 3D MFPNs were fabricated through a two-step process of maskless plasma etching and hydrogel encapsulation. The probe molecules dispersed in solution were highly concentrated in the 3D hydrogel networks, which provided a further enhancement of the SERS signals. SERS performance parameters such as the SERS enhancement factor, limit-of-detection, and signal reproducibility were investigated with Cyanine5 (Cy5) acid Raman dye solutions and were compared with those of hydrogel-free MFPNs with two-dimensional hotspots. The hydrogel-coated MFPNs enabled the reliable detection of Cy5 acid, even when the Cy5 concentration was as low as 100 pM. We believe that the 3D volumetric hotspots created by introducing a hydrogel layer onto plasmonic nanostructures demonstrate excellent potential for the sensitive and reproducible detection of toxic and hazardous molecules.

Influence of Type D Personality on Health Promoting Behaviours and Quality of Life in Stroke Patients: A Cross-Sectional Study in South Korea.

OBJECTIVES: Type D personality is vulnerable to stress and is associated with high symptom severity, unhealthy behaviors, and low quality of life (QoL) in patients with chronic diseases. This study aimed to identify the influence of type D personality on health promoting behaviors and QoL in patients with ischemic stroke in South Korea. MATERIALS AND METHODS: A descriptive, cross-sectional design was used. This study collected data from a convenience sample of 170 patients with ischemic stroke. Demographic and clinical characteristics, health promoting behaviors, and QoL were compared between the type D personality group and the non-type D group. Stepwise multiple regression analysis was performed to identify factors influencing patients' QoL. RESULTS: Of the 170 subjects, 39 (22.9%) were classified as having type D personality. Type D personality was associated with higher National Institutes of Health Stroke Scale scores at admission and discharge, higher modified Rankin Scale (mRS) scores at 3 months after stroke, lower scores for health promoting behaviors, and lower QoL. Regression analysis showed that mRS score 3 months after stroke was the most significant factor influencing QoL, followed by health promoting behaviors, type D personality, speech deficits, and family income. CONCLUSIONS: Type D personality should be considered together with health promoting behaviors and QoL in patients with ischemic stroke. Interventions considering type D personality may be helpful in improving health promoting behavior and QoL for the stroke patients.

Extremely Robust Remote-Target Detection Based on Carbon Dioxide-Double Spikes in Midwave Spectral Imaging.

Infrared ship-target detection for sea surveillance from the coast is very challenging because of strong background clutter, such as cloud and sea glint. Conventional approaches utilize either spatial or temporal information to reduce false positives. This paper proposes a completely different approach, called carbon dioxide-double spike (CO2-DS) detection in midwave spectral imaging. The proposed CO2-DS is based on the spectral feature where a hot CO2 emission band is broader than that which is absorbed by normal atmospheric CO2, which generates CO2-double spikes. A directional-mean subtraction filter (D-MSF) detects each CO2 spike, and final targets are detected by joint analysis of both types of detection. The most important property of CO2-DS detection is that it generates an extremely low number of false positive caused by background clutter. Only the hot CO2 spike of a ship plume can penetrate atmosphere, and furthermore, there are only ship CO2 plume signatures in the double spikes of different spectral bands. Experimental results using midwave Fourier transform infrared (FTIR) in a remote sea environment validate the extreme robustness of the proposed ship-target detection.

3D nanoporous plasmonic chips for extremely sensitive NO2 detection.

The detection of toxic gas molecules using the surface-enhanced Raman spectroscopy (SERS) technique is very challenging due to the low affinity of gas molecules. Here, we report extremely sensitive SERS-based NO2 gas sensors based on 3D nanoporous Au nanostructures with a high affinity for NO2 gas molecules and high density of hotspots.

Highly sensitive and on-site NO2 SERS sensors operated under ambient conditions.

Nitrogen dioxide (NO2) produced by hydrocarbon combustion has a significant adverse impact on human health and the environment. In the current work, we developed a high-performance (limit of detection: 0.1 ppm), on-site, rapid NO2 gas sensor that could be operated under ambient conditions by combining a highly sensitive 3D porous SERS substrate and a handheld Raman spectrometer.

DAQUA-MASS: An ISO 8000-61 Based Data Quality Management Methodology for Sensor Data.

The Internet-of-Things (IoT) introduces several technical and managerial challenges when it comes to the use of data generated and exchanged by and between various Smart, Connected Products (SCPs) that are part of an IoT system (i.e., physical, intelligent devices with sensors and actuators). Added to the volume and the heterogeneous exchange and consumption of data, it is paramount to assure that data quality levels are maintained in every step of the data chain/lifecycle. Otherwise, the system may fail to meet its expected function. While Data Quality (DQ) is a mature field, existing solutions are highly heterogeneous. Therefore, we propose that companies, developers and vendors should align their data quality management mechanisms and artefacts with well-known best practices and standards, as for example, those provided by ISO 8000-61. This standard enables a process-approach to data quality management, overcoming the difficulties of isolated data quality activities. This paper introduces DAQUA-MASS, a methodology based on ISO 8000-61 for data quality management in sensor networks. The methodology consists of four steps according to the Plan-Do-Check-Act cycle by Deming.

Employment of gold-coated silver nanowires as transparent conductive electrode for organic light emitting diodes.

This study proposes a simple method of Au coating on silver nanowires (Ag NWs) transparent conductive films as the anode of organic light emitting diodes (OLED) to increase the work function of the film and thus enhance hole transport. We carefully engineer the process conditions (pretreatment, solution concentrations, and coating number) of the coating using a diluted HAuCl4 solution on the Ag NWs film to minimize etching damage on Ag NWs accompanying the galvanic replacement reaction. Ultraviolet photoelectron spectroscopy and Kelvin probe force microscopy show work function increase of Ag NWs upon Au coating. OLED devices based on Au-coated Ag NWs show a lower turn-on voltage and higher luminance, compared with pristine Ag NWs device. Although the Ag NWs device displays poor efficiencies in the low luminance range due to a high leakage, some of the Au-coated Ag NWs devices showed efficiencies higher than those of the ITO device in a high luminance.

Characterization of Quadratic Nonlinearity between Motion Artifact and Acceleration Data and its Application to Heartbeat Rate Estimation.

Accelerometers are applied to various applications to collect information about movements of other sensors deployed at diverse fields ranging from underwater area to human body. In this study, we try to characterize the nonlinear relationship between motion artifact and acceleration data. The cross bicoherence test and the Volterra filter are used as the approaches to detection and modeling. We use the cross bicoherence test to directly detect in the frequency domain and we indirectly identify the nonlinear relationship by improving the performance of eliminating motion artifact in heartbeat rate estimation using a nonlinear filter, the second-order Volterra filter. In the experiments, significant bicoherence values are observed through the cross bicoherence test between the photoplethysmogram (PPG) signal contaminated with motion artifact and the acceleration sensor data. It is observed that for each dataset, the heartbeat rate estimation based on the Volterra filter is superior to that of the linear filter in terms of average absolute error. Furthermore, the leave one out cross-validation (LOOCV) is employed to develop an optimal structure of the Volterra filter for the total datasets. Due to lack of data, the developed Volterra filter does not demonstrate significant difference from the optimal linear filter in terms of t-test. Through this study, it can be concluded that motion artifact may have a quadaratical relationship with acceleration data in terms of bicoherence and more experimental data are required for developing a robust and efficient model for the relationship.

Enhancement of electrical conductivity of silver nanowires-networked films via the addition of Cs-added TiO2.

This study proposes a novel method of improving the electrical conductivity of silver nanowires (NWs)-networked films for the application of transparent conductive electrodes. We applied Cs-added TiO2 (TiO2:Cs) nanoparticles onto Ag NWs, which caused the NWs to be neatly welded together through local melting at the junctions, according to our transmission and scanning electron microscopy analyses. Systematic comparison of the sheet resistance of the samples reveals that these welded NWs yielded a significant improvement in conductivity. OLED devices, fabricated by using the NW film planarized via embedding the wires into PMMA, demonstrated device performance was comparable with the reference sample with indium tin oxide electrode.

Narrative Review of Clinical Impact of Head-Hip Offset Following Adult Spinal Deformity Surgery.

In adult spinal deformity (ASD) surgery, mechanical failure (MF) has been a significant concern for spine surgeons as well as patients. Despite earnest endeavors to prevent MF, the absence of a definitive consensus persists, owing to the intricate interplay of multifarious factors associated with this complication. Previous approaches centered around global spinal alignment have yielded limited success in entirely forestalling MF. These methodologies, albeit valuable, exhibited limitations by neglecting to encompass global balance and compensatory mechanisms within their purview. In response to this concern, an in-depth comprehension of global balance and compensatory mechanisms emerges as imperative. In this discourse, the center of gravity and the gravity line are gaining attention in recent investigations pertaining to global balance. This narrative review aims to provide an overview of the global balance and a comprehensive understanding of related concepts and knowledge. Moreover, it delves into the clinical ramifications of the contemporary optimal correction paradigm to furnish an encompassing understanding of global balance and the current optimal correction strategies within the context of ASD surgery. By doing so, it endeavors to furnish spine surgeons with a guiding compass, enriching their decision-making process as they navigate the intricate terrain of ASD surgical interventions.

Effects of Sn doping on the growth morphology and electrical properties of ZnO nanowires.

This study examines the effects of doping ZnO nanowires (NWs) with Sn on the growth morphology and electrical properties. ZnO NWs with various Sn contents (1-3 at.%) were synthesized using the vapor-liquid-solid method. Scanning electron and transmission electron microscopy analyses showed that all of the Sn-doped NWs grew in a bamboo-like morphology, in which stacking faults enriched with Sn were periodically inserted. We fabricated a hybrid film of InZnO sol-gel and Sn-doped ZnO NW networks to characterize the effects of Sn doping on the electrical properties of the NWs. With increasing doping density, the carrier concentration increases significantly while the mobility decreases greatly. The resistivity remains scattered, which suggests that Sn doping in ZnO is not an effective method for the enhancement of conductivity, since Sn does not readily incorporate into the ZnO structure.

Psychometric Validation of the Korean Version of the Family-Centered Care Questionnaire-Revised.

Background and Purpose: Family-centered care (FCC) is a philosophy of care that applies to all areas of pediatric nursing and is a key component of the care model for patient safety and management activities in the medical environment of hospitalized children. The aim of this study was to translate and evaluate the psychometric properties of the Korean version of the Family-Centered Care Questionnaire-Revised (FCCQ-R). Methods: A total of 239 questionnaires were completed by pediatric nurses at four consenting general hospitals. Results: Fourteen items were removed from the original questionnaire through exploratory factor analysis and nine subscales were reduced to five. The factor loadings of the 30 items on the five subscales ranged from 0.50-0.80. The model of the Korean version of the questionnaire was validated by an exploratory and confirmatory factor analysis. Reliability analysis for internal consistency showed an acceptable to high Cronbach's α of 0.96 in total and the subscales ranged from 0.59-0.92. Conclusions: This study verified the validity and reliability of the tool to measure the perception of FCC. Future research will need to correlate FCC with more relevant measures, such as the nurse-parent partnership measure tool, to confirm predictive and concurrent validity. The Korean version of the FCCQ-R of 30 questions on five subscales is a valid and reliable measurement of Korean nurses' perceptions of FCC.

Arabidopsis MKKK20 is involved in osmotic stress response via regulation of MPK6 activity.

Plants have developed various regulatory pathways to adapt to environmental stresses. In this study, we identified Arabidopsis MKKK20 as a regulator in the response to osmotic stress. mkkk20 mutants were found to be sensitive to high concentration of salt and showed higher water loss rates than wild-type (WT) plants under dehydration conditions. In addition, mkkk20 mutants showed higher accumulation of superoxide, a reactive oxygen species (ROS), compared to WT plants under high salt condition. In contrast, transgenic plants overexpressing MKKK20 displayed tolerance to salt stress. MKKK20 transcripts were increased by the treatments with NaCl, mannitol, MV, sorbitol, and cold, suggesting that MKKK20 is involved in the response to osmotic, ROS, and cold stresses. In-gel kinase assay showed that MKKK20 regulates the activity of MPK6 under NaCl, cold, and H(2)O(2) treatments. Taken together, our results suggest that MKKK20 might be involved in the response to various abiotic stresses, especially osmotic stress, through its regulation of MPK6 activity.

An epifluidic electronic patch with spiking sweat clearance for event-driven perspiration monitoring.

Sensory neurons generate spike patterns upon receiving external stimuli and encode key information to the spike patterns, enabling energy-efficient external information processing. Herein, we report an epifluidic electronic patch with spiking sweat clearance using a sensor containing a vertical sweat-collecting channel for event-driven, energy-efficient, long-term wireless monitoring of epidermal perspiration dynamics. Our sweat sensor contains nanomesh electrodes on its inner wall of the channel and unique sweat-clearing structures. During perspiration, repeated filling and abrupt emptying of the vertical sweat-collecting channel generate electrical spike patterns with the sweat rate and ionic conductivity proportional to the spike frequency and amplitude over a wide dynamic range and long time (> 8 h). With such 'spiking' sweat clearance and corresponding electronic spike patterns, the epifluidic wireless patch successfully decodes epidermal perspiration dynamics in an event-driven manner at different skin locations during exercise, consuming less than 0.6% of the energy required for continuous data transmission. Our patch could integrate various on-skin sensors and emerging edge computing technologies for energy-efficient, intelligent digital healthcare.

A novel telomerase-derived peptide GV1001-mediated inhibition of angiogenesis: Regulation of VEGF/VEGFR-2 signaling pathways.

GV1001, a human telomerase reverse transcriptase catalytic subunit-derived 16-mer peptide, has been developed as a novel anticancer vaccine against various cancers including pancreatic cancer. In the current study, we demonstrate the regulatory roles and mechanisms of GV1001 in endothelial cell responses in vitro and microvessel sprouting ex vivo. GV1001 markedly inhibits vascular endothelial growth factor-A (VEGF-A)-stimulated endothelial cell permeability, proliferation, migration, invasion, tube formation as well as microvessel outgrowth from rat aortic rings. These anti-angiogenic effects of GV1001 were associated with the inhibition of VEGF-A/VEGFR-2 signaling pathways, redistribution of vascular endothelial-cadherin to cell-cell contacts, and down-regulation of VEGFR-2 and matrix metalloproteinase-2. Furthermore, GV1001 suppresses the proliferation and invasion of non-small cell lung cancer cells, and the release of VEGF from the cells, suggesting the regulatory role of GV1001 in tumor-derived angiogenesis as well as cancer cell growth and progression. Collectively, our study reports the pharmacological potential of GV1001 in the regulation of angiogenesis, and warrants further evaluation and development of GV1001 as a promising therapeutic agent for a variety of angiogenesis-related diseases including cancer.