Efficient and Accurate Semi-automatic Neuron Tracing with Extended Reality.

Neuron tracing, alternately referred to as neuron reconstruction, is the procedure for extracting the digital representation of the three-dimensional neuronal morphology from stacks of microscopic images. Achieving accurate neuron tracing is critical for profiling the neuroanatomical structure at single-cell level and analyzing the neuronal circuits and projections at whole-brain scale. However, the process often demands substantial human involvement and represents a nontrivial task. Conventional solutions towards neuron tracing often contend with challenges such as non-intuitive user interactions, suboptimal data generation throughput, and ambiguous visualization. In this paper, we introduce a novel method that leverages the power of extended reality (XR) for intuitive and progressive semi-automatic neuron tracing in real time. In our method, we have defined a set of interactors for controllable and efficient interactions for neuron tracing in an immersive environment. We have also developed a GPU-accelerated automatic tracing algorithm that can generate updated neuron reconstruction in real time. In addition, we have built a visualizer for fast and improved visual experience, particularly when working with both volumetric images and 3D objects. Our method has been successfully implemented with one virtual reality (VR) headset and one augmented reality (AR) headset with satisfying results achieved. We also conducted two user studies and proved the effectiveness of the interactors and the efficiency of our method in comparison with other approaches for neuron tracing.

Multicenter radio-multiomic analysis for predicting breast cancer outcome and unravelling imaging-biological connection.

Radiomics offers a noninvasive avenue for predicting clinicopathological factors. However, thorough investigations into a robust breast cancer outcome-predicting model and its biological significance remain limited. This study develops a robust radiomic model for prognosis prediction, and further excavates its biological foundation and transferring prediction performance. We retrospectively collected preoperative dynamic contrast-enhanced MRI data from three distinct breast cancer patient cohorts. In FUSCC cohort (n = 466), Lasso was used to select features correlated with patient prognosis and multivariate Cox regression was utilized to integrate these features and build the radiomic risk model, while multiomic analysis was conducted to investigate the model's biological implications. DUKE cohort (n = 619) and I-SPY1 cohort (n = 128) were used to test the performance of the radiomic signature in outcome prediction. A thirteen-feature radiomic signature was identified in the FUSCC cohort training set and validated in the FUSCC cohort testing set, DUKE cohort and I-SPY1 cohort for predicting relapse-free survival (RFS) and overall survival (OS) (RFS: p = 0.013, p = 0.024 and p = 0.035; OS: p = 0.036, p = 0.005 and p = 0.027 in the three cohorts). Multiomic analysis uncovered metabolic dysregulation underlying the radiomic signature (ATP metabolic process: NES = 1.84, p-adjust = 0.02; cholesterol biosynthesis: NES = 1.79, p-adjust = 0.01). Regarding the therapeutic implications, the radiomic signature exhibited value when combining clinical factors for predicting the pathological complete response to neoadjuvant chemotherapy (DUKE cohort, AUC = 0.72; I-SPY1 cohort, AUC = 0.73). In conclusion, our study identified a breast cancer outcome-predicting radiomic signature in a multicenter radio-multiomic study, along with its correlations with multiomic features in prognostic risk assessment, laying the groundwork for future prospective clinical trials in personalized risk stratification and precision therapy.

Time preference shifts in medical decision-making after serious illness.

This study explores the impact of serious illnesses, such as cancer, on patients' time preferences in medical decision-making. Specifically, we assess how patients value extending their lifespan by one year under varying survival prognoses through three experimental studies. The findings reveal that patients exhibit a higher Subjective Discount Rates (SDR) in their medical decisions after a serious illness diagnosis. Notably, this difference in individual health also affects the time preferences of their family members. Additionally, the subjective contextual setting of the illness can also increase an individual's SDR levels. The research highlights a tendency for patients and families facing a potential short life expectancy to focus more on immediate concerns, leading to potentially shortsighted and irrational medical choices. This behavior often results in regret during the end-of-life stage. These insights are vital for healthcare professionals in optimizing treatment plans and for policymakers in understanding patient behaviors more comprehensively. The study emphasizes the need for considering psychological and behavioral changes in patients grappling with severe health challenges.

Lignin hydrogel sensor with anti-dehydration, anti-freezing, and reproducible adhesion prepared based on the room-temperature induction of zinc chloride-lignin redox system.

In recent years, flexible sensors constructed mainly from hydrogels have received increasing attention. However, conventional hydrogels need to be prepared by high-temperature or radiation-induced polymerization reactions, which limits their practical applications due to their suboptimal electrical conductivity and weak mechanical properties. In this paper, using sodium lignosulfonate as the raw material, a dynamic catechol-quinone redox system formed by lignin­zinc ions was constructed to initiate rapid free radical polymerization of acrylamide (AM) monomer at room temperature. In addition, Deep eutectic solvent (DES) can form a strong hydrogen bonding network within the molecules and between the molecules of the hydrogel, resulting in a hydrogel with good tensile properties (hydrogel elongation at break of 727.19 %, breaking strength of 84.09 kPa), and provides the hydrogel with high electrical conductivity, anti-dehydration, anti-freezing, and anti-bacterial properties. Meanwhile, the addition of lignin also improved the adhesion and UV resistance of the hydrogel. This hydrogel assembled into a flexible sensor can sense various small and large amplitude movements such as nodding, smiling, frowning, etc., and has a wide range of applications in flexible sensors.

Impact of professional identity on learner well-being of undergraduate nursing students of "double tops" universities: Mediating effect of self-regulated learning.

OBJECTIVES: The pressure of internal competition at the college level has increased in recent years in China with an impact on nursing students' learning and well-being. This study aimed to investigate the current situation and factors affecting professional identity, learner well-being and self-regulated learning of undergraduate nursing students in the Neijuan ecology of the "double tops" universities, and to explore the relationships between these three variables. METHODS: A cross-sectional design was adopted to conduct an online survey of 322 Chinese undergraduate nursing students from seven "double tops" universities. The survey included socio-demographics characteristics, students' professional identity, learner well-being, and self-regulated learning. RESULTS: Results of Pearson correlation analysis showed that professional identity was significantly and positively correlated with learner well-being (R = 0.795, p < 0.001); professional identity was significantly and positively correlated with self-regulated learning (R = 0.843, p < 0.001); and, self-regulated learning was significantly and positively correlated with learner well-being (R = 0.852, p < 0.001). After mediation effect testing, self-regulated learning had a mediating effect between professional identity and learner well-being (95 % CI 0.366-0.548, p < 0.001). Professional identity had a positive predictive effect on self-regulated learning (a = 0.570, p < 0.001), and self-regulated learning also had a positive predictive effect on learner well-being (b = 0.798, p < 0.001). The direct effect of professional identity on learner well-being (0.225) and its mediating effect (0.455) account for 33.1 % and 66.9 % of the total effect (0.680), respectively. CONCLUSIONS: The learner well-being of undergraduate Chinese nursing students is in the middle to upper range, and it is crucial to enhance professional identity and develop students' self-regulated learning to improve their learner well-being. This study provides empirical evidence to support the mediating effect of self-regulated learning on the relationship between professional identity and learner well-being among undergraduate nursing students in "double tops" universities. Universities are expected to strengthen career planning guidance and professional competence training for students as early as possible in order to develop quality nursing education programs that produce graduates who enter and remain in the workforce.

Does financialization inhibit enterprise innovation? Analysis of innovation behavior of Chinese enterprises based on evolutionary game.

Enterprise innovation remains a cornerstone of economic development, with the direct influence of financialization on enterprise innovation standing as a critical factor. In contrast with the existing research, this study constructs an evolutionary game model by utilizing the Cournot model to analyze the innovation behavior of enterprises, and analyzes the influence of financialization on enterprise innovation by incorporating investment returns, market competition, and demand scale into the research framework. In addition, this study selects the sample of the Chinese non-financial listed enterprises and using panel data for the period 2009 to 2021. Based on the findings from the empirical analysis, this study reveals that excessive financialization hinders innovation in Chinese enterprises. Additionally, an intermediary pathway involving 'financialization - investment returns - enterprise innovation' is identified as a transmission mechanism. The demand scale generated by innovation inversely correlates with the inhibitory effects of financialization on enterprise innovation behavior. Meanwhile, heightened market competition amplifies the inhibitory influence of financialization on innovation. This study provided valuable empirical evidence, facilitating the enhancement of enterprise innovation efficiency.

A novel ultrasound-assisted enzyme extraction method of total flavonoids from Viticis Fructus and processed Viticis Fructus: Comparison of in vitro antioxidant activity.

In this study, it is the first that the Viticis Fructus (VF) was used as the raw material for extracting total flavonoids using the ultrasound-assisted enzyme extraction (UAE) method. Response surface methodology was employed to determine the optimal extraction parameters. The optimal conditions were as follows: 60 % ethanol solution as the extract solvent, material-liquid ratio of 1:25, pH value of 4, enzyme addition amount of 1.5 %, enzymatic hydrolysis time of 30 min, enzymatic hydrolysis temperature of 40 ℃, and ultrasonic time of 50 min. Comparing the total flavonoid yield of VF and processed VF (PVF) extracted using different methods, it was observed that UAE resulted in a higher total flavonoid yield compared to traditional ultrasound extraction and enzyme extraction. Additionally, the total flavonoid yield of PVF extracted by all three methods was generally higher than that of VF. The PVF solution extracted by UAE also demonstrated better in vitro antioxidant activity compared to VF. These results suggest that UAE is an effective method to enhance the activity of natural total flavonoids. The study of the physicochemical properties and in vitro antioxidant activity of VF and PVF showed that the total flavonoid yield and antioxidant activity significantly increased after VF stir-frying, indicating that their efficacy can also be enhanced.

Diabetes Distress and Associated Factors Among Chinese Americans with Type 2 Diabetes in New York City.

Purpose: The purpose of this study is to describe diabetes distress and related factors among Chinese Americans with type 2 diabetes in New York City (NYC). Methods: We conducted a secondary data analysis of the baseline data from three research studies conducted among community-dwelling Chinese American adults with type 2 diabetes. Diabetes Distress Scale (DDS) was used to measure sources of diabetes distress including emotional-, regimen-, interpersonal-, and physician-related distress. A score of 2 or greater indicates moderate diabetes distress or higher. Patient Health Questionnaire-2 (PHQ-2) was used to measure depressive symptoms. Participants' sociodemographic information was also collected. Descriptive statistics were used to describe diabetes distress, and logistic least absolute shrinkage and selection operator (LASSO) regression was used to examine factors associated with diabetes distress level. Results: Data from 178 participants (mean age 63.55±13.56 years) were analyzed. Most participants were married (76.40%), had a high school degree or less (65.73%), had a household annual income < $25,000 (70.25%), and reported limited English proficiency (93.22%). About 25.84% reported moderate or higher overall distress. The most common sources of distress were emotional burden (29.78%), followed by regimen- (28.65%), interpersonal- (18.54%), and physician-related distress (14.04%). Participants who were younger, female, limited English proficient, and had elevated depressive symptoms were more likely to have higher diabetes distress. Conclusion: Diabetes distress is prevalent among Chinese immigrants with type 2 diabetes, especially emotional- and regimen-related distress. Given the known link between diabetes distress and poor glycemic control, it is critical to screen for diabetes distress at primary care clinics and incorporate psychological counseling in diabetes care in this underserved population.

Community hospitals of the future: the role of community hospitals to mitigate health system burden in Singapore.

In Singapore, an ageing population with increasing chronic disease burden and complex social circumstances have strained the healthcare system. For the health system to run more efficiently, patients should be appropriately sited according to their medical needs. In Singapore, community hospitals serve as an intermediate inpatient facility managing patients with sub-acute and rehabilitation care needs. Our policy brief uncovers the gaps in transforming community hospital care models and offers actionable steps to unlock the community hospital chokepoints in Singapore's health system. The future community hospitals can accommodate higher acuity but medically stable patients, while patients who do not require inpatient rehabilitation care can be appropriately sited to community partners, if policy, resourcing and technology factors are addressed. An evidence-based, stepwise approach involving all stakeholders will be required to pilot and evaluate new models before large-scale change.

Association between 24-hour blood pressure parameters and 90-day functional outcome in acute ischemic stroke patients with early anticoagulation.

This study aimed to examine the relationship between blood pressure (BP) and blood pressure variability (BPV) during the first 24 hours from admission with 90-day functional outcomes in acute ischemic stroke (AIS) patients whose onset within 24 hours and receiving early argatroban treatment. The study recruited 214 AIS patients. BP was monitored using a cuff at 1-hour fixed intervals, and BP/BPV parameters [standard deviation (SD), coefficient of variation (CV), successive variation (SV), and average real variability (ARV)] were collected. Age, the National Institutes of Health Stroke Scale (NIHSS) score at admission, previous history of diabetes mellitus (DM), and infarction site (located in anterior circulation) were identified as independent factors affecting 90-day outcomes in multiple logistic regression. After adjusting for confounding variables, association between BP/BPV and 90-day modified Rankin Scale (mRS) was assessed using logistic regression models. In model 1 (adjusted for age and NIHSS score at admission), mean-systolic blood pressure (SBP) showed association with 90-day outcomes [1.068 (1.008, 1.131), P = .025]. In model 2 (adjusted for age, NIHSS score at admission, previous history of DM), mean-SBP [1.061 (1.001, 1.123), P = .045] and max-SBP [0.951 (0.906, 0.998), P = .040] showed relatively weak association with outcomes. In model 3 [adjusted for age, NIHSS score at admission, previous history of DM, infarct site (located in anterior circulation)], all BP values were not related with outcomes, meanwhile, none of the BPV parameters calculated from SBP, diastolic blood pressure and mean arterial pressure showed association with 90-day outcomes. Future prospective studies are required to assess the relationship between early BP/BPV parameters with 90-day outcomes and further clarify the reference values for BP parameters. This is important for effective BP/BPV management and improved patient prognosis.

Internal mechanism of correlation between angiotensin II gene and serum adiponectin level in patients with cerebrovascular complications of H-type hypertension.

Background: The study aimed to explore the correlation between the angiotensin II (Ang II) gene and serum adiponectin expression in patients with cerebrovascular complications of H-type hypertension (HH) and its mechanism. Methods: A total of 50 cases of outpatient patients in Tianjin Fourth Central Hospital were recruited from January 2022 to June 2023 and rolled into three groups according to their blood pressure and basic information, namely the HH cerebrovascular complications group, the non-H-type hypertension (NHH) group, and the healthy control (HC) group. Peripheral blood samples were taken; one sample was utilized to test for the Ang II gene and the methylation of Ang II, and the other sample was utilized to measure serum adiponectin levels to analyze the relationship between serum adiponectin level and Ang II in patients with cerebrovascular complications of HH. Results: The ratio of male to female was 8:7 in the group of cerebrovascular complications of HH, and mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) were 167.34 mm Hg and 112.56 mm Hg, respectively. In the NHH group, the mean SBP was 165.89 mm Hg, and the mean DBP was 113.47 mm Hg. The blood pressure of the HC group was in the normal range. The Ang II content was the highest in the group with cerebrovascular complications of HH, followed by the group with NHH, and the lowest in the HC group. Conclusions: Pyrosequencing chart of patients with cerebrovascular complications of HH showed that the content of deoxyphosphate ribose G was the highest, while the content of A was the highest in NHH patients. Moreover, the serum adiponectin level of patients with HH and NHH was superior to that of the HC group, and the adiponectin level between the former two groups and the HC group differed considerably. Ang II levels were high in patients with cerebrovascular complications of HH and were positively correlated with adiponectin levels. The incidence of cerebrovascular complications of HH may be related to Ang II levels in patients.

Data-driven discovery of active phosphine ligand space for cross-coupling reactions.

The design of highly active catalysts is a main theme in organic chemistry, but it still relies heavily on expert experience. Herein, powered by machine-learning global structure exploration, we forge a Metal-Phosphine Catalyst Database (MPCD) with a meticulously designed ligand replacement energy metric, a key descriptor to describe the metal-ligand interactions. It pushes the rational design of organometallic catalysts to a quantitative era, where a ±10 kJ mol-1 window of relative ligand binding strength, a so-called active ligand space (ALS), is identified for highly effective catalyst screening. We highlight the chemistry interpretability and effectiveness of ALS for various C-N, C-C and C-S cross-coupling reactions via a Sabatier-principle-based volcano plot and demonstrate its predictive power in discovering low-cost ligands in catalyzing Suzuki cross-coupling involving aryl chloride. The advent of the MPCD provides a data-driven new route for speeding up organometallic catalysis and other applications.

Probing spin hydrodynamics on a superconducting quantum simulator.

Characterizing the nature of hydrodynamical transport properties in quantum dynamics provides valuable insights into the fundamental understanding of exotic non-equilibrium phases of matter. Experimentally simulating infinite-temperature transport on large-scale complex quantum systems is of considerable interest. Here, using a controllable and coherent superconducting quantum simulator, we experimentally realize the analog quantum circuit, which can efficiently prepare the Haar-random states, and probe spin transport at infinite temperature. We observe diffusive spin transport during the unitary evolution of the ladder-type quantum simulator with ergodic dynamics. Moreover, we explore the transport properties of the systems subjected to strong disorder or a tilted potential, revealing signatures of anomalous subdiffusion in accompany with the breakdown of thermalization. Our work demonstrates a scalable method of probing infinite-temperature spin transport on analog quantum simulators, which paves the way to study other intriguing out-of-equilibrium phenomena from the perspective of transport.

Sodium-Glucose Cotransporter-2 Inhibitors Use in Patients with Reduced Kidney Function Hospitalized for Fluid Overload and Heart Failure: An Observational Study.

INTRODUCTION: Sodium-glucose cotransporter-2 inhibitors (SGLT2is) are recommended in kidney disease and heart failure to reduce adverse clinical outcomes, but utilization can vary. To understand potential gaps in clinical practice and identify opportunities for improvement, we aimed to describe the prevalence and factors associated with SGLT2i prescription in patients with reduced kidney function hospitalized for fluid overload and/or heart failure. METHODS: Single-center observational study of patients with reduced kidney function (eGFR 20-59 mL/min/1.73 m2) hospitalized for fluid overload or heart failure between January 2022 and December 2023. Data were retrieved from electronic medical records. The outcome was SGLT2i prescription at discharge. Potential variables affecting SGLT2i prescription were identified during stakeholder engagement and evaluated using multivariable logistic regression. RESULTS: Among 2,543 patients, the median age was 79 (71, 86) years and admission eGFR was 38.7 (28.4, 49.4) mL/min/1.73 m2. SGLT2i was prescribed to 630 (24.8%) patients at discharge. SGLT2i prescription at discharge was independently associated with cardiovascular disease (OR 1.76, 95% CI: 1.31-2.35), diabetes (OR 1.59, 95% CI: 1.19-2.14), fluid overload or heart failure as the primary discharge diagnosis (OR 1.71, 95% CI: 1.29-2.28), SGLT2i pre-hospitalization (OR 104.91, 95% CI: 63.22-174.08), RAS blocker (OR 2.1, 95% CI: 1.65-2.89), and higher eGFR (OR 1.01, 95% CI: 1.003-1.02) at discharge; but inversely associated with older age (OR 0.97, 95% CI: 0.96-0.98). CONCLUSION: SGLT2i prescription at discharge was suboptimal among patients with reduced kidney function hospitalized for fluid overload and/or heart failure, especially in older age and more severe kidney disease. Additionally, cardiovascular disease, diabetes, primary discharge diagnosis of fluid overload or heart failure, prior SGLT2i use, and concurrent RAS blocker at discharge were independently associated with SGLT2i prescription at discharge. Interventions are needed to increase clinicians' knowledge and overcome clinical inertia to increase SGLT2i use in patients with fluid overload and heart failure.

Abnormalities in copper status associated with diminished ovarian reserve: A case-control and cross-sectional study.

OBJECTIVE: This study aimed to illustrate the copper status of diminished ovarian reserve in Chinese women, especially the effects of copper, ceruloplasmin, non-ceruloplasmin-bound copper (NCC) and CuZn superoxide dismutase (SOD1). METHODS: This case-control, cross-sectional investigation included women with diminished ovarian reserve (DOR group, n = 35) and matched normal ovarian reserve (NOR group, n = 35). The serum levels of copper, ceruloplasmin, NCC, SOD1, follicle-stimulating hormone, luteinizing hormone, estradiol, testosterone, and anti-Müllerian hormone were tested and analyzed. RESULTS: The serum copper concentrations (60.88%), NCC (54.75%) and SOD1 (54.75%) in the DOR group were significantly higher than those in the NOR group (all P < 0.001), and the concentrations of the three markers were higher in most subgroups (P < 0.001). The correlation analysis verified the correlation between copper status and impaired ovarian function. Additionally, linear regression analysis showed that NCC and SOD1 levels were negatively correlated with anti-Müllerian hormone (P < 0.05 or 0.001). CONCLUSION: Our exploration found significant increases in copper, NCC and SOD1 levels in DOR and suggests a possible link. Copper status is expected to serve as the predictive marker for DOR.

Multiomics Analyses Explore the Immunometabolic Interplay in the Liver of White Crucian Carp (Carassius cuvieri) After Aeromonas veronii Challenge.

Aeromonas veronii is one of the predominant pathogenic species that can imperil the survival of farmed fish. However, the interactive networks of immune regulation and metabolic response in A. veronii-infected fish are still unclear. In this investigation, we aimed to explore immunometabolic interplay in white crucian carp (WCC) after the A. veronii challenge. Elevated levels of immune-related genes were observed in various tissues after A. veronii infection, along with the sharp alteration of disease-related enzymatic activities. Besides, decreased levels of antioxidant status were observed in the liver, but most metabolic gene expressions increased dramatically. Multiomics analyses revealed that metabolic products of amino acids, such as formiminoglutamic acid (FIGLU), L-glutamate (L-Glu), and 4-hydroxyhippuric acid, were considered the crucial liver biomarkers in A. veronii-infected WCC. In addition, A. veronii infection may dysregulate endoplasmic reticulum (ER) function to affect the metabolic process of lipids, carbohydrates, and amino acids in the liver of WCC. These results may have a comprehensive implication for understanding immunometabolic response in WCC upon A. veronii infection.

Plant-derived natural compounds: A new frontier in inducing immunogenic cell death for cancer treatment.

Immunogenic cell death (ICD) can activate adaptive immune response in the host with normal immune system. Some synthetic chemotherapeutic drugs and natural compounds have shown promising results in cancer treatment by triggering the release of damage-associated molecules (DAMPs) to trigger ICD. However, most chemotherapeutic drugs exhibit non-selective cytotoxicity and may also induce and promote metastasis, thereby significantly reducing their clinical efficacy. Among the natural compounds that can induce ICD, plant-derived compounds account for the largest proportion, which are of increasing value in the treatment of cancer. Understanding which plant-derived natural compounds can induce ICD and how they induce ICD is crucial for developing strategies to improve chemotherapy outcomes. In this review, we focus on the recent findings regarding plant-derived natural compounds that induce ICD according to the classification of flavonoids, alkaloids, glycosides, terpenoids and discuss the potential mechanisms including endoplasmic reticulum (ER) stress, DNA damage, apoptosis, necroptosis autophagy, ferroptosis. In addition, plant-derived natural compounds that can enhance the ICD induction ability of conventional therapies for cancer treatment is also elaborated. The rational use of plant-derived natural compounds to induce ICD is helpful for the development of new cancer treatment methods.

OPALIN is an LGI1 receptor promoting oligodendrocyte differentiation.

Leucine-rich glioma-inactivated protein 1 (LGI1), a secretory protein in the brain, plays a critical role in myelination; dysfunction of this protein leads to hypomyelination and white matter abnormalities (WMAs). Here, we hypothesized that LGI1 may regulate myelination through binding to an unidentified receptor on the membrane of oligodendrocytes (OLs). To search for this hypothetic receptor, we analyzed LGI1 binding proteins through LGI1-3 × FLAG affinity chromatography with mouse brain lysates followed by mass spectrometry. An OL-specific membrane protein, the oligodendrocytic myelin paranodal and inner loop protein (OPALIN), was identified. Conditional knockout (cKO) of OPALIN in the OL lineage caused hypomyelination and WMAs, phenocopying LGI1 deficiency in mice. Biochemical analysis revealed the downregulation of Sox10 and Olig2, transcription factors critical for OL differentiation, further confirming the impaired OL maturation in Opalin cKO mice. Moreover, virus-mediated re-expression of OPALIN successfully restored myelination in Opalin cKO mice. In contrast, re-expression of LGI1-unbound OPALIN_K23A/D26A failed to reverse the hypomyelination phenotype. In conclusion, our study demonstrated that OPALIN on the OL membrane serves as an LGI1 receptor, highlighting the importance of the LGI1/OPALIN complex in orchestrating OL differentiation and myelination.