Relationship between weight-adjusted-waist index and all-cause and cardiovascular mortality in individuals with type 2 diabetes.

AIM: To investigate the relationship between the weight-adjusted-waist index (WWI) and all-cause mortality as well as cardiovascular mortality in individuals with type 2 diabetes. METHODS: We used data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 and the UK Biobank database. Restricted cubic spline curves and Cox proportional hazards models were employed to assess hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality. RESULTS: In the UK Biobank database, compared with the lowest WWI quartile, the HR for all-cause and cardiovascular death in the highest quartile was 1.846 (95% CI 1.687-2.019) and 2.118 (95% CI 1.783-2.517), respectively, in the fully adjusted model. In the NHANES database, compared with the lowest WWI quartile, the highest quartile had an HR of 1.727 (95% CI 1.378-2.163) for all-cause death and 1.719 (95% CI 1.139-2.595) for cardiovascular death in the fully adjusted model. CONCLUSIONS: Our study indicates that WWI has a long-term synergistic negative impact on all-cause mortality and cardiovascular mortality in individuals with type 2 diabetes. The WWI is an independent predictor of mortality in individuals with type 2 diabetes.

Artificial intelligence-assisted quantitative CT parameters in predicting the degree of risk of solitary pulmonary nodules.

INTRODUCTION: Artificial intelligence (AI) shows promise for evaluating solitary pulmonary nodules (SPNs) on computed tomography (CT). Accurately determining cancer invasiveness can guide treatment. We aimed to investigate quantitative CT parameters for invasiveness prediction. METHODS: Patients with stage 0-IB NSCLC after surgical resection were retrospectively analysed. Preoperative CTs were evaluated with specialized software for nodule segmentation and CT quantification. Pathology was the reference for invasiveness. Univariate and multivariate logistic regression assessed predictors of high-risk SPN. RESULTS: Three hundred and fifty-five SPN were included. On multivariate analysis, CT value mean and nodule type (ground glass opacity vs. solid) were independent predictors of high-risk SPN. The area under the curve (AUC) was 0.811 for identifying high-risk nodules. CONCLUSIONS: Quantitative CT measures and nodule type correlated with invasiveness. Software-based CT assessment shows potential for noninvasive prediction to guide extent of resection. Further prospective validation is needed, including comparison with benign nodules.

Research and implementation of a large-bandwidth real-time radar jamming simulator.

The electromagnetic environment faced by modern radar is becoming increasingly complex. One effective means to improve the performance of radar systems is testing in an anti-jamming ability test chamber, where the increased complexity has also led to higher performance requirements for radar jamming simulators. Based on the requirements for modern radar system testing, this paper presents a study of a large-bandwidth real-time radar jamming simulator and describes its overall design architecture; the simulator covers the L-Ku and Ka frequency bands and the instantaneous bandwidth is ≥2 GHz, which means that the system is able to simulate 11 interference patterns. Synchronous control of the system is realized in 1 ms through use of the reflection memory interrupt mechanism, the synchronous pulse signal mechanism, synchronous timing design, and a real-time control software architecture. An overall design scheme for real-time simulation of a radar target jamming echo is given and baseband signal processing resources are saved through information preprocessing, a large-capacity high-speed storage board is designed to improve the data reading speed, a multiphase filtering structure is used to achieve high sampling rates and save hardware resources, and a high-speed parallel computing method is used to improve computing efficiency; the actual measured baseband signal processing time is less than 500 ns. Finally, a measurement platform is built, and the main interference patterns are verified through experimental measurements.

Dual-Stage Reduction Strategy of Tin Perovskite Enables High Performance Photovoltaics.

The rapid oxidation of Sn2+ in tin-based perovskite solar cells (TPSCs) restricts their efficiency and stability have been main bottleneck towards further development. This study developed a novel strategy which utilizes thiosulfate ions (S2O32-) in the precursor solution to enable a dual-stage reduction process. In the solution stage, thiosulfate acted as an efficacious reducing agent to reduce Sn4+ to Sn2+, meanwhile, its oxidation products were able to reduce I2 to I- during the film stage. This dual reduction ability effectively inhibited the oxidation of Sn2+ and passivated defects, further promising an excellent stability of the perovskite devices. As a result, thiosulfate-incorporated devices achieved a high efficiency of 14.78% with open-circuit voltage reaching 0.96 V. The stability of the optimized devices achieved a remarkable improvement, maintaining 90% of their initial efficiencies after 628 hours at maximum-power-point (MPP). The findings provid research insights and experimental data support for the sustained dynamic reduction in TPSCs.

Polymeric immunoglobulin receptor promotes Th2 immune response in the liver by increasing cholangiocytes derived IL-33: a diagnostic and therapeutic biomarker of biliary atresia.

BACKGROUND: Biliary atresia (BA) is a devastating neonatal cholangiopathy with an unclear pathogenesis, and prompt diagnosis of BA is currently challenging. METHODS: Proteomic and immunoassay analyses were performed with serum samples from 250 patients to find potential BA biomarkers. The expression features of polymeric immunoglobulin receptor (PIGR) were investigated using human biopsy samples, three different experimental mouse models, and cultured human biliary epithelial cells (BECs). Chemically modified small interfering RNA and adenovirus expression vector were applied for in vivo silencing and overexpressing PIGR in a rotavirus-induced BA mouse model. Luminex-based multiplex cytokine assays and RNA sequencing were used to explore the molecular mechanism of PIGR involvement in the BA pathogenesis. FINDINGS: Serum levels of PIGR, poliovirus receptor (PVR), and aldolase B (ALDOB) were increased in BA patients and accurately distinguished BA from infantile hepatitis syndrome (IHS). Combined PIGR and PVR analysis distinguished BA from IHS with an area under the receiver operating characteristic curve of 0.968 and an accuracy of 0.935. PIGR expression was upregulated in the biliary epithelium of BA patients; Th1 cytokines TNF-α and IFN-γ induced PIGR expression in BECs via activating NF-κB pathway. Silencing PIGR alleviated symptoms, reduced IL-33 expression, and restrained hepatic Th2 inflammation in BA mouse model; while overexpressing PIGR increased liver fibrosis and IL-33 expression, and boosted hepatic Th2 inflammation in BA mouse model. PIGR expression promotes the proliferation and epithelial-mesenchymal transition, and reduced the apoptosis of BECs. INTERPRETATION: PIGR participated in BA pathogenesis by promoting hepatic Th2 inflammation via increasing cholangiocytes derived IL-33; PIGR has the value as a diagnostic and therapeutic biomarker of BA. FUNDING: This study was financially supported by the National Natural Science Foundation of China (82170529), the National Key R&D Program (2021YFC2701003), and the National Natural Science Foundation of China (82272022).

SMAD3 mediates the specification of human induced pluripotent stem cell-derived epicardium into progenitors for the cardiac pericyte lineage.

Understanding the molecular mechanisms of epicardial epithelial-to-mesenchymal transition (EMT), particularly in directing cell fate toward epicardial derivatives, is crucial for regenerative medicine using human induced pluripotent stem cell (iPSC)-derived epicardium. Although transforming growth factor ß (TGF-ß) plays a pivotal role in epicardial biology, orchestrating EMT during embryonic development via downstream signaling through SMAD proteins, the function of SMAD proteins in the epicardium in maintaining vascular homeostasis or mediating the differentiation of various epicardial-derived cells (EPDCs) is not yet well understood. Our study reveals that TGF-ß-independent SMAD3 expression autonomously predicts epicardial cell specification and lineage maintenance, acting as a key mediator in promoting the angiogenic-oriented specification of the epicardium into cardiac pericyte progenitors. This finding uncovers a novel role for SMAD3 in the human epicardium, particularly in generating cardiac pericyte progenitors that enhance cardiac microvasculature angiogenesis. This insight opens new avenues for leveraging epicardial biology in developing more effective cardiac regeneration strategies.

Translation Consistent Semi-supervised Segmentation for 3D Medical Images.

3D medical image segmentation methods have been successful, but their dependence on large amounts of voxel-level annotated data is a disadvantage that needs to be addressed given the high cost to obtain such annotation. Semi-supervised learning (SSL) solves this issue by training models with a large unlabelled and a small labelled dataset. The most successful SSL approaches are based on consistency learning that minimises the distance between model responses obtained from perturbed views of the unlabelled data. These perturbations usually keep the spatial input context between views fairly consistent, which may cause the model to learn segmentation patterns from the spatial input contexts instead of the foreground objects. In this paper, we introduce the Translation Consistent Co-training (TraCoCo) which is a consistency learning SSL method that perturbs the input data views by varying their spatial input context, allowing the model to learn segmentation patterns from foreground objects. Furthermore, we propose a new Confident Regional Cross entropy (CRC) loss, which improves training convergence and keeps the robustness to co-training pseudo-labelling mistakes. Our method yields state-of-the-art (SOTA) results for several 3D data benchmarks, such as the Left Atrium (LA), Pancreas-CT (Pancreas), and Brain Tumor Segmentation (BraTS19). Our method also attains best results on a 2D-slice benchmark, namely the Automated Cardiac Diagnosis Challenge (ACDC), further demonstrating its effectiveness. Our code, training logs and checkpoints are available at https://github.com/yyliu01/ TraCoCo.

Human-AI collaboration improves adults' oral biomechanical functions: A multi-centre, self-controlled clinical trial.

OBJECTIVES: Maintenance of oral muscle functions is important for survival and communication. Utilizing Artificial Intelligence (AI) as a self-health-management material has shown promise. Here we developed a functional and AI-enabled smartphone e-Oral APP that provided real-time feedback features to let humans collaborate with AI, targeting to improve oral biomechanical and speech functions of adults. METHODS: A total of 113 neurologically healthy Hong Kong citizens over 50 years old were recruited in this study from June to October 2022. A set of 12 exercises of the tongue, lips, and jaw were conducted with guidance provided in the self-developed e-Oral APP, in which visual-audio demonstrations and immediate feedback on facial movements by an open-source AI-pretrained 68-point Ensemble of Regression Tree (ERT) face landmark detector was given to the users. After 8-week exercises, assessments after 1-week and 4-week post-training were conducted. Primary outcomes were measured on oral functions, including occlusal force, masticatory efficiency, tongue strength, along with dry mouth condition, and oral health-related quality of life (OHQoL), while secondary outcomes were comprised of oral diadochokinesis (DDK) and swallowing ability. The usability of the APP was evaluated by a self-written questionnaire. RESULTS: After exercising a set of 12 exercises on the tongue, lips, and jaw for 8 weeks, 70 out of 113 participants (average age of 67.70±4.93 y.o., 52 female and 18 male) had a significant improvement in the occlusal force (p < 0.001), while masticatory efficiency (p = 0.002), tongue pressure (p < 0.001) and endurance (p = 0.004) were also improved. 80.3 % of respondents rated the APP with an overall rating of 3 out of 5 points, and 68.6 % would recommend the APP to others. CONCLUSIONS: AI-based APP can be an effective approach to help healthy adults improve their occlusal force, masticatory efficiency, tongue functions, and oral diadochokinesis after 8-week home oral exercises. Furthermore, these improvements can be sustained for at least four weeks. CLINICAL SIGNIFICANCE: This is the first AI-assisted APP developed for oral muscle training. Our findings demonstrated that a self-administrated human-AI collaboration APP can improve clinically oral muscle biomechanics and functions for healthy adults. AI technology in smartphone gadgets provides a cost-effective, convenient, and reliable means for oral muscles training for adults.

Research on marine flexible biological target detection based on improved YOLOv8 algorithm.

To address the challenge of suboptimal object detection outcomes stemming from the deformability of marine flexible biological entities, this study introduces an algorithm tailored for detecting marine flexible biological targets. Initially, we compiled a dataset comprising marine flexible biological subjects and developed a Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm, supplemented with a boundary detection enhancement module, to refine underwater image quality and accentuate the distinction between the images' foregrounds and backgrounds. This enhancement mitigates the issue of foreground-background similarity encountered in detecting marine flexible biological entities. Moreover, the proposed adaptation incorporates a Deformable Convolutional Network (DCN) network module in lieu of the C2f module within the YOLOv8n algorithm framework, thereby augmenting the model's proficiency in capturing geometric transformations and concentrating on pivotal areas. The Neck network module is enhanced with the RepBi-PAN architecture, bolstering its capability to amalgamate and emphasize essential characteristics of flexible biological targets. To advance the model's feature information processing efficiency, we integrated the SimAM attention mechanism. Finally, to diminish the adverse effects of inferior-quality labels within the dataset, we advocate the use of WIoU (Wise-IoU) as a bounding box loss function, which serves to refine the anchor boxes' quality assessment. Simulation experiments show that, in comparison to the conventional YOLOv8n algorithm, our method markedly elevates the precision of marine flexible biological target detection.

Characterization of additive gene-environment interactions for colorectal cancer risk.

BACKGROUND: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure. METHODS: Using resources from colorectal cancer consortia including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score including 141 variants associated with CRC risk. RESULTS: There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking [RERI = 0.24, 95% confidence interval, CI, (0.13, 0.36)], ever smoking [0.11 (0.05, 0.16)], high BMI [female 0.09 (0.05, 0.13), male 0.10 (0.05, 0.14)], or high red meat intake [highest versus lowest quartile 0.18 (0.09, 0.27)] was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/NSAID use [-0.16 (-0.20, -0.11)] or higher intake of fruit, fiber, or calcium [highest quartile versus lowest quartile -0.12 (-0.18, -0.050); -0.16 (-0.23, -0.09); -0.11 (-0.18, -0.05), respectively] than those with average genetic susceptibility. CONCLUSIONS: Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention.

Development of chemiluminescent systems and devices for analytical applications.

Chemiluminescence (CL) refers to the light-emitting phenomenon resulting from chemical reactions. Due to its simplicity in terms of instrumentation and high sensitivity, CL plays a critical role in analytical chemistry and has developed rapidly in recent years. In this review, we discuss the efforts made by our group in the field of CL. This includes exploring new luminophores that function under neutral pH conditions, developing oxidant- and reactive oxygen species-based coreactants (e.g. artemisinin and thiourea dioxide) for luminol and lucigenin CL, utilizing nanomaterial-based CL signal amplification and employing innovative ultrasound devices for CL and their analytical applications. We discussed the CL amplification mechanisms of these systems in detail. Finally, we summarize the challenges and prospects for the future development of CL.

Engineering Carrier Density and Effective Mass of Plasmonic TiN Films by Tailoring Nitrogen Vacancies.

The introduction of nitrogen vacancies has been shown to be an effective way to tune the plasmonic properties of refractory titanium nitrides. However, its underlying mechanism remains debated due to the lack of high-quality single-crystalline samples and a deep understanding of electronic properties. Here, a series of epitaxial titanium nitride films with varying nitrogen vacancy concentrations (TiNx) were synthesized. Spectroscopic ellipsometry measurements revealed that the plasmon energy could be tuned from 2.64 eV in stoichiometric TiN to 3.38 eV in substoichiometric TiNx. Our comprehensive analysis of electrical and plasmonic properties showed that both the increased electronic states around the Fermi level and the decreased carrier effective mass due to the modified electronic band structures are responsible for tuning the plasmonic properties of TiNx. Our findings offer a deeper understanding of the tunable plasmonic properties in epitaxial TiNx films and are beneficial for the development of nitride plasmonic devices.

Self-Microemulsifying Drug Delivery System to Enhance Oral Bioavailability of Berberine Hydrochloride in Rats.

Berberine hydrochloride (BH) is a versatile bioactive compound derived from the plants of the Berberis genus, known for its various pharmacological effects. However, its oral bioavailability is low due to its high hydrophilicity and limited permeability. To enhance its clinical efficacy and oral bioavailability, this study designed and prepared a BH-loaded self-microemulsifying drug delivery system (BH-SMEDDS), and characterized its in vitro and in vivo properties. Firstly, the optimal formulation of BH-SMEDDS was selected using solubility evaluations, pseudo-ternary phase diagrams, and particle size analysis. The formulation containing 55% Capmul MCM, 22.5% Kolliphor RH 40, and 22.5% 1,2-propanediol was developed. BH-SMEDDS exhibited stable physicochemical properties, with an average particle size of 47.2 ± 0.10 nm and a self-emulsification time of 26.02 ± 0.24 s. Moreover, in vitro dissolution studies showed significant improvements in BH release in simulated intestinal fluid, achieving 93.1 ± 2.3% release within 300 min. Meanwhile, BH-SMEDDS did not exhibit cytotoxic effects on the Caco-2 cells. Additionally, BH-SMEDDS achieved a 1.63-fold increase in oral bioavailability compared to commercial BH tablets. Therefore, SMEDDS presents a promising strategy for delivering BH with enhanced oral bioavailability, demonstrating significant potential for clinical application.

Association of tooth loss and periodontal disease with all-cause mortality in cancer survivors: A cohort study based on NHANES.

Background: Increasing evidence supports the association between impaired oral health and elevated mortality. However, there is currently a lack of research on the impact of tooth loss and periodontal disease on survival outcomes in cancer survivors. This study aims to clarify the effect of tooth loss and periodontitis on all-cause mortality on cancer survivors. Methods: The clinical data of cancer survivors were collected from National Health and Nutrition Examination Survey (NHANES) 1999-2018. Mortality data were obtained by linking to records in the National Death Index until December 31, 2019. Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal threshold for discriminating mortality based on the number of teeth lost. Kaplan-Meier survival curves and Cox regression analysis were performed to calculate hazard ratios (HRs) and 95 % confidence intervals (95 % CI) for tooth loss and periodontitis. Results: A total of 3271 cancer survivors were assessed for tooth loss status, while 1267 patients were evaluated for periodontitis status. The prevalence of any tooth loss and CDC-AAP periodontitis was 83.5 % and 47.2 %, respectively. The ROC curve showed the cut-off point of tooth loss for predicting mortality is > 5. Cancer survivors with tooth loss>5 had significantly lower bone density (1.06 vs. 1.13 g/cm2, P < 0.001), elevated C-reactive protein level (0.3 vs. 0.18 mg/dL, P < 0.001), and a trend of lower lean body mass (46.9 vs. 47.6 kg, P = 0.093). Besides, cancer survivors with severe periodontitis also exhibited elevated C-reactive protein level (0.34 vs. 0.21 mg/dL, P = 0.033). All-cause mortality significantly increased in cancer survivors with either tooth loss>5 (HR = 1.290, P = 0.001) or severe CDC-AAP periodontitis (HR = 1.682, P = 0.016) in the multivariate Cox regression analysis. Conclusion: Tooth loss and periodontitis are strong risk factors for reduced overall survival in cancer survivors. Cancer survivors should emphasize diligent oral hygiene and consistent dental check-ups to optimize long-term oral health. The causal relationship between oral health and survival rates in cancer survivors requires further validation through randomized controlled trials.

Nrf2 in human cancers: biological significance and therapeutic potential.

The nuclear factor-erythroid 2-related factor 2 (Nrf2) is able to control the redox balance in the cells responding to oxidative damage and other stress signals. The Nrf2 upregulation can elevate the levels of antioxidant enzymes to support against damage and death. In spite of protective function of Nrf2 in the physiological conditions, the stimulation of Nrf2 in the cancer has been in favour of tumorigenesis. Since the dysregulation of molecular pathways and mutations/deletions are common in tumors, Nrf2 can be a promising therapeutic target. The Nrf2 overexpression can prevent cell death in tumor and by increasing the survival rate of cancer cells, ensures the carcinogenesis. Moreover, the induction of Nrf2 can promote the invasion and metastasis of tumor cells. The Nrf2 upregulation stimulates EMT to increase cancer metastasis. Furthermore, regarding the protective function of Nrf2, its stimulation triggers chemoresistance. The natural products can regulate Nrf2 in the cancer therapy and reverse drug resistance. Moreover, nanostructures can specifically target Nrf2 signaling in cancer therapy. The current review discusses the potential function of Nrf2 in the proliferation, metastasis and drug resistance. Then, the capacity of natural products and nanostructures for suppressing Nrf2-mediated cancer progression is discussed.

Beyond weight loss: the potential of glucagon-like peptide-1 receptor agonists for treating heart failure with preserved ejection fraction.

Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome with various phenotypes, and obesity is one of the most common and clinically relevant phenotypes of HFpEF. Obesity contributes to HFpEF through multiple mechanisms, including sodium retention, neurohormonal dysregulation, altered energy substrate metabolism, expansion of visceral adipose tissue, and low-grade systemic inflammation. Glucagon-like peptide-1 (GLP-1) is a hormone in the incretin family. It is produced by specialized cells called neuroendocrine L cells located in the distal ileum and colon. GLP-1 reduces blood glucose levels by promoting glucose-dependent insulin secretion from pancreatic ß cells, suppressing glucagon release from pancreatic α cells, and blocking hepatic gluconeogenesis. Recent evidence suggests that GLP-1 receptor agonists (GLP-1 RAs) can significantly improve physical activity limitations and exercise capacity in obese patients with HFpEF. The possible cardioprotective mechanisms of GLP-1 RAs include reducing epicardial fat tissue thickness, preventing activation of the renin-angiotensin-aldosterone system, improving myocardial energy metabolism, reducing systemic inflammation and cardiac oxidative stress, and delaying the progression of atherosclerosis. This review examines the impact of obesity on the underlying mechanisms of HFpEF, summarizes the trial data on cardiovascular outcomes of GLP-1 RAs in patients with type 2 diabetes mellitus, and highlights the potential cardioprotective mechanisms of GLP-1 RAs to give a pathophysiological and clinical rationale for using GLP-1 RAs in obese HFpEF patients.

Single-incision Retroperitoneal Laparoscopic Resection of Adrenal Tumors in Children.

BACKGROUND: We describe our experience with single-incision retroperitoneal laparoscopic (SIRL) for resection of adrenal tumors in pediatric patients and discuss the technique's clinical value. METHODS: We retrospectively analyzed clinical data of 27 pediatric patients who underwent SIRL between January 2020 and September 2023. Patients with tumors >5 cm in size and those requiring vascular skeletonization surgery or extensive lymph node dissection were excluded. Demographic, perioperative, and prognostic data were collected, and computed tomography (CT) and magnetic resonance imaging were used for preoperative tumor assessment. RESULTS: Of 27 patients, 16 were male and 11 were female; mean age 54 ± 45 months and mean body mass index 17.2 ± 3.6 kg/m2. Mean tumor length, width, and height were 4.1 ± 1.8 cm, 3.3 ± 2.1 cm, and 2.9 ± 1.7 cm, respectively. One patient experienced a diaphragmatic tear, three patients incurred peritoneal damage, and one patient developed postoperative renal artery injury, leading to thrombosis and renal atrophy. No surgery was converted to open surgery, and no intraoperative or postoperative blood transfusions were required. Operative time, blood loss, and postoperative dietary recovery time were satisfactory. No local recurrence or distant metastases were detected during the 6-48 months of follow-up involving outpatient and telephone assessments. CONCLUSIONS: Application of SIRL in pediatric patients with adrenal tumors achieved favorable clinical outcomes with an effective, minimally invasive surgical option for treating children with adrenal tumors. This technique demands a high level of surgical expertise, specialized instruments and experienced surgeons. Our findings indicate that SIRL is safe and provides significant postoperative benefits in pediatric patients. LEVEL OF EVIDENCE: Level IV.

Development of a cost-effective confocal Raman microscopy with high sensitivity.

Confocal Raman microscopy is a powerful technique for identifying materials and molecular species; however, the signal from Raman scattering is extremely weak. Typically, handheld Raman instruments are cost-effective but less sensitive, while high-end scientific-grade Raman instruments are highly sensitive but extremely expensive. This limits the widespread use of Raman technique in our daily life. To bridge this gap, we explored and developed a cost-effective yet highly sensitive confocal Raman microscopy system. The key components of the system include an excitation laser based on readily available laser diode, a lens-grating-lens type spectrometer with high throughput and image quality, and a sensitive detector based on a linear charge-coupled device (CCD) that can be cooled down to -30 °C. The developed compact Raman instrument can provide high-quality Raman spectra with good spectral resolution. The 3rd order 1450 cm-1 peak of Si (111) wafer shows a signal-to-noise ratio (SNR) better than 10:1, demonstrating high sensitivity comparable to high-end scientific-grade Raman instruments. We also tested a wide range of different samples (organic molecules, minerals and polymers) to demonstrate its universal application capability.

Concurrent sensing of vector magnetic field based on diamond nitrogen-vacancy ensemble using a time-divided hardware-synchronized protocol.

A diamond nitrogen-vacancy (NV) ensemble has been developed as a vector magnetometry platform for sensing external time-varying magnetic fields. However, due to the complexity of manipulating electron spins along different directions, a current vector NV magnetometer often needs a large amount of supporting equipment, preventing its applications in a compact circumstance. Here, we develop a hardware-level protocol to realize a multi-axis NV magnetometer using only a single channel of microwave generation and signal detection resources. This mechanism is to monitor each resonance serialized in a sequence and measure the electron-spin frequency shifts concurrently in real time. The functionality is realized by a home-made control system with an on-chip direct digital synthesis generator and signal processor. We finally achieve a vector sensitivity of around 14 nT/Hz on four different axes at the same time. We also analyze the phase delay of the sensing signal between different axes induced by the protocol. This protocol is compatible with other schemes to further improve the performance, such as hyperfine driving, balanced detection, and high-efficiency photon collection methods.

The clinicopathological significance and prognostic impact of 14-3-3σ/stratifin expression on patients with surgically resectable intrahepatic cholangiocarcinoma.

INTRODUCTION: Intrahepatic cholangiocarcinoma (iCCA) is the second most common primary liver cancer after hepatocellular carcinoma. Through data mining of publicly available iCCA transcriptomic datasets from the Gene Expression Omnibus, we identified SFN as the most significantly up-regulated gene in iCCA compared to normal tissue, focusing on the Gene Ontology term "cell proliferation" (GO:0008283). SFN encodes the 14-3-3σ protein, also known as stratifin, which plays crucial roles in various cellular processes. MATERIALS AND METHODS: Immunohistochemistry was used to assess stratifin expression in 182 patients with localized iCCAs undergoing surgical resection. Patients were divided into low and high expression groups, and the association between stratifin expression and clinicopathological features was analyzed. Univariate and multivariate survival analyses were performed to assess overall survival (OS), disease-specific survival (DSS), local recurrence-free survival (LRFS), and metastasis-free survival (MeFS). RESULTS: Elevated stratifin expression in iCCAs was significantly associated with the absence of hepatitis, positive surgical margins, advanced primary tumor stages, and higher histological grades (all p ≤ 0.011). Survival analyses demonstrated a significant negative association between stratifin expression and all prognostic indicators, including OS, DSS, LRFS, and MeFS (all p ≤ 0.0004). Multivariate analysis revealed that stratifin overexpression was significantly correlated with poorer outcomes in terms of DSS, LRFS, and MeFS (all p < 0.001). CONCLUSIONS: These findings suggest that stratifin may play a crucial role in iCCA oncogenesis and tumor progression, serving as a potential novel prognostic biomarker.