Machine learning-assisted label-free colorectal cancer diagnosis using plasmonic needle-endoscopy system.

Early and accurate detection of colorectal cancer (CRC) is critical for improving patient outcomes. Existing diagnostic techniques are often invasive and carry risks of complications. Herein, we introduce a plasmonic gold nanopolyhedron (AuNH)-coated needle-based surface-enhanced Raman scattering (SERS) sensor, integrated with endoscopy, for direct mucus sampling and label-free detection of CRC. The thin and flexible stainless-steel needle is coated with polymerized dopamine, which serves as an adhesive layer and simultaneously initiates the nucleation of gold nanoparticle (AuNP) seeds on the needle surface. The AuNP seeds are further grown through a surface-directed reduction using Au ions-hydroxylamine hydrochloride solution, resulting in the formation of dense AuNHs. The formation mechanism of AuNHs and the layered structure of the plasmonic needle-based SERS (PNS) sensor are thoroughly analyzed. Furthermore, a strong field enhancement of the PNS sensor is observed, amplified around the edges of the polyhedral shapes and at nanogap sites between AuNHs. The feasibility of the PNS sensor combined with endoscopy system is further investigated using mouse models for direct colonic mucus sampling and verifying noninvasive label-free classification of CRC from normal controls. A logistic regression-based machine learning method is employed and successfully differentiates CRC and normal mice, achieving 100% sensitivity, 93.33% specificity, and 96.67% accuracy. Moreover, Raman profiling of metabolites and their correlations with Raman signals of mucus samples are analyzed using the Pearson correlation coefficient, offering insights for identifying potential cancer biomarkers. The developed PNS-assisted endoscopy technology is expected to advance the early screening and diagnosis approach of CRC in the future.

Wet Depositional Fluxes of Fossil Fuel-derived Carbon in East Asia: Dynamics of Brown Carbon.

Over the past 50 years, fossil fuel consumption has increased dramatically, rising approximately eight-fold since 1950 and doubling since 1980. This surge has led to increased emissions of brown carbon (BrC) into the atmosphere, which are subsequently deposited onto oceans and land through dry or wet deposition processes. However, the source-specific fluxes of atmospheric organic carbon (OC) and BrC into the ocean are not adequately represented in the global carbon cycle. For the first time, we calculated BrC concentration using the optical intensity of organic matter and determined the global wet depositional flux of fossil fuel-derived BrC. Using the ratio of humic-like substances to OC fluxes, we estimated the global wet deposition of fossil fuel-derived BrC to be 2.0 ± 0.6 Tg C yr-1. Of this amount, the flux into oceans (0.7 ± 0.2 Tg C yr-1) represents 1.6% of the production rate of refractory dissolved organic carbon (RDOC) in the ocean (43 Tg yr-1). Notably, an increase in the proportion of fossil fuel-derived BrC in atmospheric OC may change the composition of OC in precipitation, resulting in a more refractory composition, which deviates from previously established paradigms. Our findings indicate that the flux of fossil fuel-derived RDOC from the atmosphere into the ocean, which is inadequately represented in current global DOC cycling models, may play a significant role in oceanic carbon cycles. These findings necessitate reconsidering our understanding of oceanic carbon cycling and highlight the need to improve existing models to better account for these newly identified processes and their potential impacts on global carbon dynamics.

Potential range shift of a long-distance migratory rice pest, Nilaparvata lugens, under climate change.

The biogeographical range shift of insect pests is primarily governed by temperature. However, the range shift of seasonal long-distance migratory insects may be very different from that of sedentary insects. Nilaparvata lugens (BPH), a serious rice pest, can only overwinter in tropical-to-subtropical regions, and some populations migrate seasonally to temperate zones with the aid of low-level jet stream air currents. This study utilized the CLIMEX model to project the overwintering area under the climate change scenarios of RCP2.6 and RCP8.5, both in 2030s and 2080s. The overwintering boundary is predicted to expand poleward and new overwintering areas are predicted in the mid-latitude regions of central-to-eastern China and mid-to-southern Australia. With climate change, the habitable areas remained similar, but suitability decreased substantially, especially in the near-equatorial regions, owing to increasing heat stress. The range shift is similar between RCP2.6-2030s, RCP2.6-2080s, and RCP8.5-2030s, but extreme changes are projected under RCP8.5-2080s with marginal areas increasing from 27.2 to 38.8% and very favorable areas dropping from 27.5 to 3.6% compared to the current climate. These findings indicate that climate change will drive range shifts in BPH and alter regional risks differently. Therefore, international monitoring programs are needed to effectively manage these emerging challenges.

Hypomethylation of ATP1A1 Is Associated with Poor Prognosis and Cancer Progression in Triple-Negative Breast Cancer.

Dysregulated DNA methylation in cancer is critical in the transcription machinery associated with cancer progression. Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, but no treatment targeting TNBC biomarkers has yet been developed. To identify specific DNA methylation patterns in TNBC, methyl-binding domain protein 2 (MBD) sequencing data were compared in TNBC and the three other major breast cancer subtypes. Integrated analysis of DNA methylation and gene expression identified a gene set showing a correlation between DNA methylation and gene expression. ATPase Na+/K+-transporting subunit alpha 1 (ATP1A1) was found to be specifically hypomethylated in the coding sequence (CDS) region and to show increased expression in TNBC. The Cancer Genome Atlas (TCGA) database also showed that hypomethylation and high expression of ATP1A1 were strongly associated with poor survival in patients with TNBC. Furthermore, ATP1A1 knockdown significantly reduced the viability and tumor-sphere formation of TNBC cells. These results suggest that the hypomethylation and overexpression of ATP1A1 could be a prognostic marker in TNBC and that the manipulation of ATP1A1 expression could be a therapeutic target in this disease.

Association of sodium-glucose cotransporter 2 inhibitor use with risk of osteoporotic fracture among older women: A nationwide, population-based cohort study.

INTRODUCTION: We investigated the relationship between sodium-glucose cotransporter-2 inhibitor (SGLT2i) and fracture in elderly women diagnosed with type 2 diabetes mellitus (T2DM) and newly prescribed antidiabetic medications (ADMs). MATERIAL AND METHODS: We used the population-based cohort study data from the National Health Insurance Service of Korea (2013-2020). Women ≥65 years old with T2DM, who were newly prescribed ADMs other than glucagon-like peptide-1 receptor agonists and thiazolidinedione, and who had comprehensive health check-up data were included. RESULTS: A total of 1,333 SGLT2i users were matched in a 1:2 ratio with 2,626 non-SGLT2i users. After propensity score matching, mean age, body mass index, number of ADMs, and other covariates were well-balanced between SGLT2i users and non-SGLT2i users. During the follow-up period, a higher incidence of vertebral fractures in SGLT2i users than in non-SGLT2i users (incidence rate 19.2 vs. 13.8 per 1,000 person-years; hazard ratio 1.40, 95 % confidence interval 1.00-1.96, p = 0.049). No significant difference was noted in other types of fracture. CONCLUSION: SGLT2i use showed an increased risk of vertebral fracture than non-SGLT2i use in elderly women. Although further validation is required, SGLT2i should be cautiously prescribed in older women due to the potential association with fracture risk.

In vivo adenine base editing rescues adrenoleukodystrophy in a humanized mouse model.

X-linked adrenoleukodystrophy (ALD), an inherited neurometabolic disorder caused by mutations in ABCD1, which encodes the peroxisomal ABC transporter, mainly affects the brain, spinal cord, adrenal glands, and testes. In ALD patients, very-long-chain fatty acids (VLCFAs) fail to enter the peroxisome and undergo subsequent ß-oxidation, resulting in their accumulation in the body. It has not been tested whether in vivo base editing or prime editing can be harnessed to ameliorate ALD. We developed a humanized mouse model of ALD by inserting a human cDNA containing the pathogenic variant into the mouse Abcd1 locus. The humanized ALD model showed increased levels of VLCFAs. To correct the mutation, we tested both base editing and prime editing and found that base editing using ABE8e(V106W) could correct the mutation in patient-derived fibroblasts at an efficiency of 7.4%. Adeno-associated virus (AAV)-mediated systemic delivery of NG-ABE8e(V106W) enabled robust correction of the pathogenic variant in the mouse brain (correction efficiency: ∼5.5%), spinal cord (∼5.1%), and adrenal gland (∼2%), leading to a significant reduction in the plasma levels of C26:0/C22:0. This established humanized mouse model and the successful correction of the pathogenic variant using a base editor serve as a significant step toward treating human ALD disease.

Early developmental changes in a rat model of malformations of cortical development: Abnormal neuronal migration and altered response to NMDA-induced excitotoxic injury.

Malformations of cortical development (MCDs) are caused by abnormal neuronal migration processes during the fetal period and are a major cause of intractable epilepsy in infancy. However, the timing of hyperexcitability or epileptogenesis in MCDs remains unclear. To identify the early developmental changes in the brain of the MCD rat model, which exhibits increased seizure susceptibility during infancy (P12-15), we analyzed the pathological changes in the brains of MCD model rats during the neonatal period and tested NMDA-induced seizure susceptibility. Pregnant rats were injected with two doses of methylazoxymethanol acetate (MAM, 15 mg/kg, i.p.) to induce MCD, while controls were administered normal saline. The cortical development of the offspring was measured by performing magnetic resonance imaging (MRI) on postnatal days (P) 1, 5, and 8. At P8, some rats were sacrificed for immunofluorescence, Golgi staining, and Western analysis. In another set of rats, the number and latency to onset of spasms were monitored for 90 min after the NMDA (5 mg/kg i.p.) injection at P8. In MCD rats, in vivo MR imaging showed smaller brain volume and thinner cortex from day 1 after birth (p < 0.001). Golgi staining and immunofluorescence revealed abnormal neuronal migration, with a reduced number of neuronal cell populations and less dendritic arborization at P8. Furthermore, MCD rats exhibited a significant reduction in the expression of NMDA receptors and AMPAR4, along with an increase in AMPAR3 expression (p < 0.05). Although there was no difference in the latency to seizure onset between MCD rats and controls, the MCD rats survived significantly longer than the controls. These results provide insights into the early developmental changes in the cortex of a MCD rat model and suggest that delayed and abnormal neuronal development in the immature brain is associated with a blunted response to NMDA-induced excitotoxic injury. These developmental changes may be involved in the sudden onset of epilepsy in patients with MCD or prenatal brain injury.

Factors associated with health-related quality of life on mental and oral health in patients with cancer and cancer survivors using the Korea National Health and Nutrition Examination Survey (2005-2018).

Objective: To investigate the association of mental and oral health with the health-related quality of life (HRQOL) in patients with cancer and cancer survivors. Methods: This cross-sectional study involved 1643 patients with cancer and 1628 individuals who survived cancer (aged ≥ 19 years) using data from the 2005-2018 Korean National Health and Nutrition Examination Survey. The data were analyzed using SAS survey procedures (version 9.4), t-tests, χ2 test, and multiple regression. Results: Regarding differences in mental and oral health factors by group, the results revealed significant differences between depression, suicidal ideation, subjective oral health, chewing problems, and speaking problems due to oral issues. The HRQOL of patients with cancer was lower than that of cancer survivors. The factors influencing HRQOL in both patients with cancer and cancer survivors were education status, economic activity, subjective health, suicidal ideation, and speaking problems due to oral issues. HRQOL was also associated with depression in patients with cancer. Conclusions: Patients with cancer had a lower HRQOL than cancer survivors. The two groups of patients showed significant differences in the factors associated with HRQOL. Therefore, customized health programs and policies should be developed and implemented for each group to improve their QOL.

Introjected regulation and academic burnout: A moderated mediation model of social comparison and distress overtolerance.

The primary purpose of this study is to examine the mediation effect of Contrastive Upward Comparison (CUC) on the relationship between introjected regulation and exhaustion (i.e., introjected regulation-CUC-exhaustion). It is also aimed to examine the moderation effect of distress overtolerance on this mediated relationship. In order to resolve the uncertainty about the causality of cross-sectional studies, this study worked on the relationship among the variables by setting an alternative model (i.e., CUC-introjected regulation - exhaustion). The participants were 167 (females, 70.7%) undergraduate and graduate students in South Korea. The results of this study indicated that introjected regulation showed indirect and significant effect on exhaustion via CUC. However, in the alternative model, the indirect effect of introjected regulation in the relationship between CUC and exhaustion was not significant. Furthermore, high distress overtolerance buffered the relationship between introjected regulation and CUC, while it strengthened the association of CUC and exhaustion. Lastly, the results of moderated mediation suggested that students with higher distress overtolerance, experienced more CUC, and emotional exhaustion. The implications and limitations were also discussed.

Educational Outcomes and Perception Changes in Medical Students After Visiting a Blood Donation Center.

Educating primary care physicians about blood donation and transfusion is critical. The Division of Hematology and Oncology at Soonchunhyang University Seoul Hospital in Korea introduced an on-site educational program termed the Blood Donation Center Visiting Program in the clerkship education for final-year medical students. We evaluated the educational outcomes and changes in perception among medical students after the Blood Donation Center Visiting Program based on a survey. The program was implemented from 2021 to 2023. As part of the program, students visited a blood donation center each week, one group at a time. They gained practical knowledge about the blood donation process, and some students actively participated in blood donation. After the program, 287 students were eligible for an online survey of the program, of whom 203 participated in the survey. Among the 203 students, 126 (62.1%) donated blood during their visit to the blood donation center as part of the program, and 88.7% of the students reported an increase (from 71.4% to 90.1%) in their knowledge and willingness to donate blood. The on-site educational Blood Donation Center Visiting Program appears to have generated positive changes in perceptions among students and enhanced their knowledge about blood donation.

Cancer screening through surface-enhanced Raman spectroscopy fingerprinting analysis of urinary metabolites using surface-carbonized silver nanowires on a filter membrane.

BACKGROUND: Label-free surface-enhanced Raman spectroscopy (SERS)-based metabolic profiling has great potential for early cancer diagnosis, but further advancements in analytical methods and clinical evidence studies are required for clinical applications. To improve the cancer diagnostic accuracy of label-free SERS spectral analysis of complex biological fluids, it is necessary to obtain specifically enhanced SERS signals of cancer-related metabolites present at low concentrations. RESULTS: This study presents a novel 3D SERS sensor, comprising a surface-carbonized silver nanowire (AgNW)-stacked filter membrane, alongside an optimized urine/methanol/chloroform extraction technique, which specifically changes the molecular adsorption and orientation of aromatic metabolites onto SERS substrates. By analyzing the pretreated urine samples on the surface-carbonized AgNW 3D SERS sensor, distinct and highly enhanced SERS peaks derived from semi-polar aromatic metabolites were observed for pancreatic cancer and prostate cancer samples compared with normal controls. Urine metabolite analysis using SERS fingerprinting successfully differentiated pancreatic cancer and prostate cancer groups from normal control group: normal control (n = 56), pancreatic cancer (n = 40), and prostate cancer (n = 39). SIGNIFICANCE AND NOVELTY: We confirmed the clinical feasibility of performing fingerprint analysis of urinary metabolites based on the surface-carbonized AgNW 3D SERS sensor and methanol/chloroform extraction for noninvasive cancer screening. This technology holds potential for large-scale screening owing to its high accuracy, and cost effective, simple and rapid detection method.

Evaluating total organic carbon as an indicator for organic pollutant management in the marine environment: A case study on wastewater treatment plant effluent input into the coastal ocean.

South Korea recently shifted its assessment indicator for organic matter in terrestrial environments from chemical oxygen demand (COD) to total organic carbon (TOC) due to the increase in refractory organic carbon levels. However, in the marine environment, where the inflow of refractory organic matter is also on the rise, COD is still used in some instances to assess organic pollution in contaminated areas. Our findings reveal that the main source of dissolved organic carbon (DOC) is terrestrial-derived refractory organic carbon, which enters through nearby wastewater treatment plant (WWPT) outlets. The low oxidation efficiency of COD to TOC (approximately 4 %) prevents it from being an accurate measure of terrestrial-derived refractory DOC. Contrasting results were observed when comparing the organic pollution index (OPI), which we calculated using TOC, with the currently employed water quality index (WQI) for ocean water quality evaluation, particularly in areas influenced by WWPTs. This discrepancy arises because the WQI primarily evaluates autochthonous organic carbon through chlorophyll measurements, whereas the OPI incorporates both autochthonous and allochthonous organic carbon through TOC measurements. Our findings demonstrate that TOC can effectively replace COD as an organic pollution indicator in marine environments.

Real-world outcomes of third-line immune checkpoint inhibitors versus irinotecan-based chemotherapy in patients with advanced gastric cancer: a Korean, multicenter study (KCSG ST22-06).

BACKGROUND: Immune checkpoint inhibitor (ICI) or irinotecan-based chemotherapy is frequently used after failure of second-line paclitaxel plus ramucirumab treatment for patients with locally advanced unresectable or metastatic advanced gastric cancer (AGC). This study aimed to compare the efficacy between ICI and irinotecan-based chemotherapy as third-line treatment in patients with AGC. METHODS: We retrospectively reviewed patients with AGC, whose third-line treatment started between July 2019 and June 2021 at 17 institutions in Korea. The ICI group included patients who received nivolumab or pembrolizumab, and the irinotecan-based chemotherapy group included patients who received irinotecan or FOLFIRI (5-fluorouracil, leucovorin and irinotecan). RESULTS: A total of 363 patients [n = 129 (ICI) and n = 234 (irinotecan-based chemotherapy)] were analyzed. The median progression-free survival was 2.3 and 2.9 months in ICI and irinotecan-based chemotherapy groups, respectively (p = 0.802). The median overall survival (OS) was 5.5 and 6.0 months in ICI and irinotecan-based chemotherapy groups, respectively (p = 0.786). For all patients included in this study, multivariable analysis showed that weight loss, peritoneal metastasis, low serum sodium or albumin, and short duration of second-line treatment were associated with inferior OS (p < 0.05). ICI showed significantly longer OS than irinotecan-based chemotherapy in patients without peritoneal metastasis. Whereas ICI showed significantly shorter OS in patients without PD-L1 expression than irinotecan-based chemotherapy. CONCLUSIONS: No significant difference in survival outcome was observed between ICI and irinotecan-based chemotherapy as third-line treatment for AGC patients. ICI might be preferred for patients without peritoneal metastasis and irinotecan-based chemotherapy for patients with tumors without PD-L1 expression. TRIAL REGISTRATION: This study was registered in the Clinical Trial Registry of Korea ( https://cris.nih.go.kr : KCT 0007732).

Surface-functionalized SERS platform for deep learning-assisted diagnosis of Alzheimer's disease.

Early diagnosis of Alzheimer's disease is crucial to stall the deterioration of brain function, but conventional diagnostic methods require complicated analytical procedures or inflict acute pain on the patient. Then, label-free Surface-enhanced Raman spectroscopy (SERS) analysis of blood-based biomarkers is a convenient alternative to rapidly obtain spectral information from biofluids. However, despite the rapid acquisition of spectral information from biofluids, it is challenging to distinguish spectral features of biomarkers due to interference from biofluidic components. Here, we introduce a deep learning-assisted, SERS-based platform for separate analysis of blood-based amyloid ß (1-42) and metabolites, enabling the diagnosis of Alzheimer's disease. SERS substrates consisting of Au nanowire arrays are fabricated and functionalized in two characteristic ways to compare the validity of different Alzheimer's disease biomarkers measured on our SERS system. The 6E10 antibody is immobilized for the capture of amyloid ß (1-42) and analysis of its oligomerization process, while various self-assembled monolayers are attached for different dipole interactions with blood-based metabolites. Ultimately, SERS spectra of blood plasma of Alzheimer's disease patients and human controls are measured on the substrates and classified via advanced deep learning techniques that automatically extract informative features to learn generalizable representations. Accuracies up to 99.5% are achieved for metabolite-based analyses, which are verified with an explainable artificial intelligence technique that identifies key spectral features used for classification and for deducing significant biomarkers.

RFX4 is an intrinsic factor for neuronal differentiation through induction of proneural genes POU3F2 and NEUROD1.

Proneural genes play a crucial role in neuronal differentiation. However, our understanding of the regulatory mechanisms governing proneural genes during neuronal differentiation remains limited. RFX4, identified as a candidate regulator of proneural genes, has been reported to be associated with the development of neuropsychiatric disorders. To uncover the regulatory relationship, we utilized a combination of multi-omics data, including ATAC-seq, ChIP-seq, Hi-C, and RNA-seq, to identify RFX4 as an upstream regulator of proneural genes. We further validated the role of RFX4 using an in vitro model of neuronal differentiation with RFX4 knock-in and a CRISPR-Cas9 knock-out system. As a result, we found that RFX4 directly interacts with the promoters of POU3F2 and NEUROD1. Transcriptomic analysis revealed a set of genes associated with neuronal development, which are highly implicated in the development of neuropsychiatric disorders, including schizophrenia. Notably, ectopic expression of RFX4 can drive human embryonic stem cells toward a neuronal fate. Our results strongly indicate that RFX4 serves as a direct upstream regulator of proneural genes, a role that is essential for normal neuronal development. Impairments in RFX4 function could potentially be related to the development of various neuropsychiatric disorders. However, understanding the precise mechanisms by which the RFX4 gene influences the onset of neuropsychiatric disorders requires further investigation through human genetic studies.

Association of Muscle Mass Loss with Diabetes Development in Liver Transplantation Recipients.

BACKGRUOUND: Post-transplant diabetes mellitus (PTDM) is one of the most significant complications after transplantation. Patients with end-stage liver diseases requiring transplantation are prone to sarcopenia, but the association between sarcopenia and PTDM remains to be elucidated. We aimed to investigate the effect of postoperative muscle mass loss on PTDM development. METHODS: A total of 500 patients who underwent liver transplantation at a tertiary care hospital between 2005 and 2020 were included. Skeletal muscle area at the level of the L3-L5 vertebrae was measured using computed tomography scans performed before and 1 year after the transplantation. The associations between the change in the muscle area after the transplantation and the incidence of PTDM was investigated using a Cox proportional hazard model. RESULTS: During the follow-up period (median, 4.9 years), PTDM occurred in 165 patients (33%). The muscle mass loss was greater in patients who developed PTDM than in those without PTDM. Muscle depletion significantly increased risk of developing PTDM after adjustment for other confounding factors (hazard ratio, 1.50; 95% confidence interval, 1.23 to 1.84; P=0.001). Of the 357 subjects who had muscle mass loss, 124 (34.7%) developed PTDM, whereas of the 143 patients in the muscle mass maintenance group, 41 (28.7%) developed PTDM. The cumulative incidence of PTDM was significantly higher in patients with muscle loss than in patients without muscle loss (P=0.034). CONCLUSION: Muscle depletion after liver transplantation is associated with increased risk of PTDM development.

Observing growth and interfacial dynamics of nanocrystalline ice in thin amorphous ice films.

Ice crystals at low temperatures exhibit structural polymorphs including hexagonal ice, cubic ice, or a hetero-crystalline mixture of the two phases. Despite the significant implications of structure-dependent roles of ice, mechanisms behind the growths of each polymorph have been difficult to access quantitatively. Using in-situ cryo-electron microscopy and computational ice-dynamics simulations, we directly observe crystalline ice growth in an amorphous ice film of nanoscale thickness, which exhibits three-dimensional ice nucleation and subsequent two-dimensional ice growth. We reveal that nanoscale ice crystals exhibit polymorph-dependent growth kinetics, while hetero-crystalline ice exhibits anisotropic growth, with accelerated growth occurring at the prismatic planes. Fast-growing facets are associated with low-density interfaces that possess higher surface energy, driving tetrahedral ordering of interfacial H2O molecules and accelerating ice growth. These findings, based on nanoscale observations, improve our understanding on early stages of ice formation and mechanistic roles of the ice interface.

Specific inhibitor of Wnt/beta-catenin pathway can alter behavioral responses in young rats with malformed cortices.

The Wnt/beta-catenin pathway plays a crucial role in regulating cellular processes and has been implicated in neural activity-dependent learning as well as anxiety. However, the role of this pathway in young children with abnormal cortical development is unknown. Cortical malformations at early development, behavioral abnormalities, and a susceptibility to seizures have been reported in rats prenatally exposed to methylazoxymethanol. In this study, we aimed to investigate whether we could improve the behavioral deficits in young rats with malformed cerebral cortices by modulation of the Wnt/beta-catenin pathway. We found a small molecule Wnt/beta-catenin inhibitor (CWP) that increased exploratory behavior in the open field test (P9, CWP 100 ug treatment, peripheral exploration, P = 0.011) and social behavior test (P12, CWP 250 ug treatment, distance traveled in center, P = 0.033) and decreased anxiety in fear conditioning. However, it did not reduce the susceptibility to seizures. After high dose (250 ug) CWP treatment at P12, phosphocreatine and glutathione (GSH) were decreased in the cortex at P15 (P = 0.021). These findings suggest that the role of Wnt/beta-catenin signaling in exploratory behavior and anxiety during early development warrants further investigation.

Development of a Set of Assessment Tools for Health Professionals to Design a Tailored Rehabilitation Exercise and Sports Program for People with Stroke in South Korea: A Delphi Study.

We developed a set of assessment tools for health professionals to evaluate the physical functions, mental functions, and social abilities of people with stroke (PWS) from 6 months to 3 years after stroke onset, to design a tailored "Rehabilitation Exercise and Sports" (RES) program, which the South Korean government was required to provide by the Act on Guarantee of Right to Health and Access to Health Services for people with disabilities. Since previous studies mainly dealt with the chronic stage of PWS, it would not be appropriate to apply assessment tools used in previous studies, as they are not compatible with the time window (6 months to 3 years) used to define the target population of the RES program. We reviewed the literature to identify evaluation factors and assessment tools applied in previous studies, and developed a Delphi questionnaire with closed-ended questions based on the literature review's results and supplementary open-ended questions. A 20-expert panel conducted four rounds of the Delphi survey, including two rounds to determine evaluation factors and two rounds to determine assessment tools. The Delphi survey revealed that 22 evaluation factors and 24 corresponding assessment tools reached consensus among the experts. However, no assessment tools reached consensus for three evaluation factors: muscle endurance, flexibility, and dynamic balance. A comprehensive set of assessment tools would be useful for health professionals to understand the health status of PWS from 6 months to 3 years after stroke onset, and help the design of tailored RES programs.

Toward a strengths-based model for designing virtual reality learning experiences for autistic users.

LAY ABSTRACT: Virtual reality has been studied for its potential in supporting individuals with autism, but existing research often focuses on deficits and lacks consideration of individual preferences and strengths. This article introduces a framework that emphasizes the strengths and abilities of autistic individuals when designing virtual reality interventions. It builds upon an existing taxonomy of educational technology affordances and extends it to align with the unique needs of autistic individuals. The framework provides guidance for incorporating virtual reality technology that supports and amplifies autistic strengths, such as visual perception and response to positive feedback. The framework has implications for practice, research, and policy. For practitioners, it offers a tool for designing virtual reality experiences that cater to the strengths of autistic individuals, enhancing engagement and educational outcomes. Researchers can utilize the framework to guide the development of user-centered virtual reality interventions and expand our understanding of the potential benefits of virtual reality for autistic populations. Policymakers and educators can consider this framework when incorporating virtual reality into educational settings, ensuring that virtual reality technology is used in a way that aligns with the strengths and needs of autistic learners. Overall, the framework promotes a strengths-based approach in utilizing virtual reality technology for individuals with autism, fostering inclusivity and maximizing the benefits of immersive experiences.