Impact of the RNA allosteric effect triggered by single nucleotide polymorphisms on the splicing process.

The susceptibility single nucleotide polymorphisms (SNPs) obtained by genome-wide association studies leave some thorny questions, such as prioritization, false positives and unknown pathogenesis. Previous studies suggested that genetic variation may perturb the RNA secondary structure, influence protein recruitment and binding and ultimately affect splicing processes. Therefore, exploring the perturbation of SNPs to structure-function correlations may provide an effective bridge toward understanding the genetic contribution to diseases. Here, aiming to decipher the regulatory mechanism of myopia susceptibility variants, we systematically evaluated the roles of SNP-induced structural changes during splicing. In addition, 7.53% of myopia-related SNPs exhibited significant global structural changes, 19.53% presented noteworthy local structural disturbance and there were wide-ranging structural perturbations in the splice-related motifs. We established a comprehensive evaluation system for structural disturbance in the splicing-related motifs and gave the priority ranking for the SNPs at RNA structural level. These high-priority SNPs were revealed to widely disturb the molecular interaction properties between splicing-related proteins and pre-mRNAs by HDOCK. Moreover, mini-gene assays confirmed that structural perturbation could influence splicing efficiency through structural remodelling. This study deepens our understanding of the potential molecular regulatory mechanisms of susceptible SNPs in myopia and contributes to personalized diagnosis, personalized medicine, disease-risk prediction and functional verification study by guiding the prioritization of the susceptibility SNPs.

What Elements Really Intercalate into Pd Lattice When Heated in Dimethylformamide?

Palladium hydrides (PdHx) are pivotal in both fundamental research and practical applications across a wide spectrum. PdHx nanocrystals, synthesized by heating in dimethylformamide (DMF), exhibit remarkable stability, granting them widespread applications in the field of electrocatalysis. However, this stability appears inconsistent with their metastable nature. The substantial challenges in characterizing nanoscale structures contribute to the limited understanding of this anomalous phenomenon. Here, through a series of well-conceived experimental designs and advanced characterization techniques, including aberration-corrected scanning transmission electron microscopy (AC-STEM), in situ X-ray diffraction (XRD), and time-of-flight secondary ion mass spectrometry (TOF-SIMS), we have uncovered evidence that indicates the presence of C and N within the lattice of Pd (PdCxNy), rather than H (PdHx). By combining theoretical calculations, we have thoroughly studied the potential configurations and thermodynamic stability of PdCxNy, demonstrating a 2.5:1 ratio of C to N infiltration into the Pd lattice. Furthermore, we successfully modulated the electronic structure of Pd nanocrystals through C and N doping, enhancing their catalytic activity in methanol oxidation reactions. This breakthrough provides a new perspective on the structure and composition of Pd-based nanocrystals infused with light elements, paving the way for the development of advanced catalytic materials in the future.

PGD: Shared gene linking polycystic ovary syndrome and endometrial cancer, influencing proliferation and migration through glycometabolism.

The relationship among polycystic ovary syndrome (PCOS), endometrial cancer (EC), and glycometabolism remains unclear. We explored shared genes between PCOS and EC, using bioinformatics to unveil their pathogenic connection and influence on EC prognosis. Gene Expression Omnibus datasets GSE226146 (PCOS) and GSE196033 (EC) were used. A protein-protein interaction (PPI) network was constructed to identify the central genes. Candidate markers were screened using dataset GSE54250. Differences in marker expression were confirmed in mouse PCOS and human EC tissues using RT-PCR and immunohistochemistry. The effect of PGD on EC proliferation and migration was explored using Ki-67 and Transwell assays. PGD's impact on the glycometabolic pathway within carbon metabolism was assessed by quantifying glucose content and lactic acid production. R software identified 31 common genes in GSE226146 and GSE196033. Gene Ontology functional classification revealed enrichment in the "purine nucleoside triphosphate metabolism process," with key Kyoto Encyclopedia of Genes and Genomes pathways related to "carbon metabolism." The PPI network identified 15 hub genes. HK2, NDUFS8, PHGDH, PGD, and SMAD3 were confirmed as candidate markers. The RT-PCR analysis validated distinct HK2 and PGD expression patterns in mouse PCOS ovarian tissue and human EC tissue, as well as in normal and EC cells. Transfection experiments with Ishikawa cells further confirmed PGD's influence on cell proliferation and migration. Suppression of PGD expression impeded glycometabolism within the carbon metabolism of EC cells, suggesting PGD as a significant PCOS risk factor impacting EC proliferation and migration through modulation of single carbon metabolism. These findings highlight PGD's pivotal role in EC onset and prognosis.

Epidemiological and Genomic analysis of Vibrio parahaemolyticus isolated from imported travelers at the port of Shanghai, China (2017-2019).

BACKGROUND: Vibrio parahaemolyticus is the predominant etiological agent of seafood-associated foodborne illnesses on a global scale. It is essential to elucidate the mechanisms by which this pathogen disseminates. Given the existing research predominantly concentrates on localized outbreaks, there is a pressing necessity for a comprehensive investigation to capture strains of V. parahaemolyticus cross borders. RESULTS: This study examined the frequency and genetic attributes of imported V. parahaemolyticus strains among travelers entering Shanghai Port, China, between 2017 and 2019.Through the collection of 21 strains from diverse countries and regions, Southeast Asia was pinpointed as a significant source for the emergence of V. parahaemolyticus. Phylogenetic analysis revealed clear delineation between strains originating from human and environmental sources, emphasizing that underlying genome data of foodborne pathogens is essential for environmental monitoring, food safety and early diagnosis of diseases. Furthermore, our study identified the presence of virulence genes (tdh and tlh) and approximately 120 antibiotic resistance-related genes in the majority of isolates, highlighting their crucial involvement in the pathogenesis of V. parahaemolyticus. CONCLUSIONS: This research enhanced our comprehension of the worldwide transmission of V. parahaemolyticus and its antimicrobial resistance patterns. The findings have important implications for public health interventions and antimicrobial stewardship strategies, underscoring the necessity for epidemiological surveillance of pathogen at international travel hubs.

Isolated Partial Anomalous Pulmonary Veins: A 10-Year Experience at a Single Center.

INTRODUCTION: Isolated partial anomalous pulmonary venous connection (PAPVC) is difficult to diagnose, and surgical indications remain controversial. We reviewed 10 y of isolated PAPVC cases. METHODS: The data of patients with isolated PAPVC admitted to the Anzhen Congenital Heart Disease Department from 2010 to 2019 were reviewed retrospectively. RESULTS: Thirty patients, aged between 4 mo and 32 y, were included in this study. Significant correlations were found between the right ventricle (RV), end-diastolic dimension Z-score (RVED-z) and age (r = 0.398, P = 0.03), and between estimated pulmonary pressure and age (r = 0.423, P = 0.02). However, no significant correlations were found between the RVED-z and the number of anomalous pulmonary veins (r = 0.347, P = 0.061), between estimated pulmonary pressure and the RVED-z (r = 0.218, P = 0.248), and between estimated pulmonary pressure and the number of anomalous veins (r = 0.225, P = 0.232). Transthoracic echocardiography (TTE) confirmed 90% of isolated PAPVC cases. Surgical repair was performed in 29 patients with RV enlargement, persistent low weight, pulmonary hypertension, or respiratory symptoms. Among the surgical patients, nine had elevated pulmonary pressure before surgery, which decreased postoperatively; no mortality or reintervention was observed. The mean duration of echocardiographic follow-up was 1.9 y. CONCLUSIONS: TTE is recommended for routine assessments, and further clarification can be obtained with computed tomography when TTE proves inconclusive for diagnosis. Transesophageal echocardiography and computed tomography are further recommended for adult patients if TTE fails to provide clear results. PAPVC should be considered as an underlying cause when unexplained RV enlargement is observed. Surgery is recommended for patients with RV enlargement, pulmonary hypertension, or respiratory symptoms.

Assembly of Copper Alkynyl Clusters into Dimensionally Diverse Coordinated Polymers Mediated by Pyridine Ligands.

Surface ligands play crucial roles in modifying the properties of metal nanoclusters and stabilizing atomically precise structures, and also serve as vital linkers for constructing cluster-based coordination polymers. In this study, we present the results of the solvothermal synthesis of eight novel copper alkynyl clusters incorporating pyridine ligands using a one-pot method. The resulting compounds underwent characterization through elemental analysis, Fourier transform infrared (FT-IR) spectroscopy, powder X-ray diffraction (PXRD), and single-crystal X-ray diffraction (SCXRD). Our observations revealed that distinct pyridine ligands with varying lengths and coordination sites exert significant influence on the structure and dimensionality of the clusters. The structural diversity of these clusters led to the formation of one-dimensional (1D), two-dimensional (2D), or dimer arrangements linked by seven pyridine bridging ligands. Remarkably, these complexes exhibited unique UV-vis absorption and photoluminescence properties, which were influenced by the specific bridging ligand and structural framework. Furthermore, density functional theory (DFT) calculations demonstrated the capability of the conjugated system in the pyridine ligand to impact the band gap of clusters. This study not only unveils the inherent structural diversity in coordination polymers based on copper alkynyl clusters but also offers valuable insights into harnessing ligand engineering for structural and property modulation.

Fabrication of a high-quality, small blaze angle grating for visible short-wave infrared hyperspectral cameras.

This study outlines the development of a low line density, small blaze angle grating, optimized for a visible to short-wave infrared hyperspectral camera. An analysis of grating specifications was conducted to meet the precise requirements of this application, particularly focusing on the stringent tolerance limits for the blaze angle. A specialized ruling tool adjustment device was designed to adhere to these exacting blaze angle tolerances. The grating groove shape was examined using atomic force microscopy (AFM), and the theoretical diffraction efficiency of the grating was calculated based on these observations. Additionally, laser-based methods were employed to measure the actual diffraction efficiency of the grating, while interferometry was used to assess the grating's diffraction wavefront. The test results demonstrate our capability to fabricate high-quality gratings with a low line density and small blaze angles that are suitable for advanced hyperspectral imaging applications.

Construction of key quality indicators for aged care facilities in China: A two-tier Delphi study: Key aged care quality indicators in ACF by Delphi method.

AIM: To construct key quality indicators for aged care facilities in China. BACKGROUND: Evaluating the care quality in aged care facilities is problematic. Evaluation of nursing care quality is important for improving nursing and self-supervision in aged care facilities. However, a few regulations and studies regarding care quality evaluation have been implemented in China. DESIGN AND METHOD: This two-tier Delphi study aimed to achieve consensus on key quality indicators for aged care facilities in China. The entry pool was determined by literature review and research team discussion, followed by a discussion by a panel of experts to establish the items of the Delphi study. Finally, key care quality indicators were established through a two-round Delphi study. This study followed the SQUIRE 2.0 guidelines. RESULTS: The initial 16 quality indicators of the entry pool was developed based on a literature review and a group discussion. Sixteen quality indicators were reduced to eight after the expert discussion. After two rounds of expert consultation, the eight quality indicators became nine, which were then evaluated for importance, formula rationality, and operability using Kendall's harmony coefficients (first round: 0.150, 0.143 and 0.169, respectively; second round: 0.209, 0.159 and 0.173, respectively). CONCLUSIONS: Key quality indicators provide quantifiable evidence for evaluating the care quality in aged care facilities, but their applicability needs continuous improvement. RELEVANCE TO CLINICAL PRACTICE: Nine key quality indicators were selected from numerous indicators for measuring the care quality in aged care facilities, supporting the evaluation of the care quality and self-supervision for aged care facilities. ELDERLY OR PUBLIC CONTRIBUTION: No elderly or public contribution.

Microcephaly Gene Mcph1 Deficiency Induces p19ARF-Dependent Cell Cycle Arrest and Senescence.

MCPH1 has been identified as the causal gene for primary microcephaly type 1, a neurodevelopmental disorder characterized by reduced brain size and delayed growth. As a multifunction protein, MCPH1 has been reported to repress the expression of TERT and interact with transcriptional regulator E2F1. However, it remains unclear whether MCPH1 regulates brain development through its transcriptional regulation function. This study showed that the knockout of Mcph1 in mice leads to delayed growth as early as the embryo stage E11.5. Transcriptome analysis (RNA-seq) revealed that the deletion of Mcph1 resulted in changes in the expression levels of a limited number of genes. Although the expression of some of E2F1 targets, such as Satb2 and Cdkn1c, was affected, the differentially expressed genes (DEGs) were not significantly enriched as E2F1 target genes. Further investigations showed that primary and immortalized Mcph1 knockout mouse embryonic fibroblasts (MEFs) exhibited cell cycle arrest and cellular senescence phenotype. Interestingly, the upregulation of p19ARF was detected in Mcph1 knockout MEFs, and silencing p19Arf restored the cell cycle and growth arrest to wild-type levels. Our findings suggested it is unlikely that MCPH1 regulates neurodevelopment through E2F1-mediated transcriptional regulation, and p19ARF-dependent cell cycle arrest and cellular senescence may contribute to the developmental abnormalities observed in primary microcephaly.

Rice stripe mosaic virus hijacks rice heading-related gene to promote the overwintering of its insect vector.

Rice stripe mosaic virus (RSMV) is an emerging pathogen which significantly reduces rice yields in the southern region of China. It is transmitted by the leafhopper Recilia dorsalis, which overwinters in rice fields. Our field investigations revealed that RSMV infection causes delayed rice heading, resulting in a large number of green diseased plants remaining in winter rice fields. This creates a favorable environment for leafhoppers and viruses to overwinter, potentially contributing to the rapid spread and epidemic of the disease. Next, we explored the mechanism by which RSMV manipulates the developmental processes of the rice plant. A rice heading-related E3 ubiquitin ligase, Heading date Associated Factor 1 (HAF1), was found to be hijacked by the RSMV-encoded P6. The impairment of HAF1 function affects the ubiquitination and degradation of downstream proteins, HEADING DATE 1 and EARLY FLOWERING3, leading to a delay in rice heading. Our results provide new insights into the development regulation-based molecular interactions between virus and plant, and highlights the importance of understanding virus-vector-plant tripartite interactions for effective disease management strategies.

Chiral Canoe-Like Pd0 or Pt0 Alloyed Copper Alkynyl Nanoclusters Display Near-Infrared Luminescence.

Alloying nanoclusters (NCs) has emerged as a widely explored and versatile strategy for tailoring tunable properties, facilitating in-depth atomic-level investigations of structure-property correlations. In this study, we have successfully synthesized six atomically precise copper NCs alloyed with Group 10 metals (Pd or Pt). Notably, the Pd0 or Pt0 atom situated at the center of the distorted hexagonal antiprism Pd0/Pt0@Cu12 cage, coordinated with twelve Cu+ and two tBuC≡C- ligands. Moreover, ligand exchange strategies demonstrated the potential for Cl- and Br- to replace one or two alkynyl ligands positioned at the top or side of the NCs. The chirality exhibited by these racemic NCs is primarily attributed to the involvement of halogens and a chiral (Pd/Pt)@Cu18 skeleton. Furthermore, all the NCs exhibit near-infrared (NIR) luminescence, characterized by emission peaks at 705-755 nm, lifetimes ranging from 6.630 to 9.662 µs, and absolute photoluminescence quantum yields (PLQYs) of 1.75 %-2.52 % in their crystalline state. The experimental optical properties of these NCs are found to be in excellent agreement with the results of theoretical calculations. These alloy NCs not only offer valuable insights into the synthesis of Pd0/Pt0-Cu alloy NCs, but also bridge the gap in understanding the structure-luminescence relationships of Pd0/Pt0-Cu molecules.

Galectin-1-dependent ceRNA network in HRMECs revealed its association with retinal neovascularization.

BACKGROUND: Retinal neovascularization (RNV) is a leading cause of blindness worldwide. Long non-coding RNA (lncRNA) and competing endogenous RNA (ceRNA) regulatory networks play vital roles in angiogenesis. The RNA-binding protein galectin-1 (Gal-1) participates in pathological RNV in oxygen-induced retinopathy mouse models. However, the molecular associations between Gal-1 and lncRNAs remain unclear. Herein, we aimed to explore the potential mechanism of action of Gal-1 as an RNA-binding protein. RESULTS: A comprehensive network of Gal-1, ceRNAs, and neovascularization-related genes was constructed based on transcriptome chip data and bioinformatics analysis of human retinal microvascular endothelial cells (HRMECs). We also conducted functional enrichment and pathway enrichment analyses. Fourteen lncRNAs, twenty-nine miRNAs, and eleven differentially expressed angiogenic genes were included in the Gal-1/ceRNA network. Additionally, the expression of six lncRNAs and eleven differentially expressed angiogenic genes were validated by qPCR in HRMECs with or without siLGALS1. Several hub genes, such as NRIR, ZFPM2-AS1, LINC0121, apelin, claudin-5, and C-X-C motif chemokine ligand 10, were found to potentially interact with Gal-1 via the ceRNA axis. Furthermore, Gal-1 may be involved in regulating biological processes related to chemotaxis, chemokine-mediated signaling, the immune response, and the inflammatory response. CONCLUSIONS: The Gal-1/ceRNA axis identified in this study may play a vital role in RNV. This study provides a foundation for the continued exploration of therapeutic targets and biomarkers associated with RNV.

Capsaicin receptor TRPV1 maintains quiescence of hepatic stellate cells in the liver via recruitment of SARM1.

BACKGROUND & AIMS: Capsaicin receptor, also known as transient receptor potential vanilloid 1 (TRPV1), is involved in pain physiology and neurogenic inflammation. Herein, we discovered the presence of TRPV1 in hepatic stellate cells (HSCs) and aimed to delineate its function in this cell type and liver fibrosis. METHODS: TRPV1 expression was examined in liver biopsies from patients with liver fibrosis using quantitative real-time PCR and immunostaining. Its contribution to liver fibrosis was examined in Trpv1-/- mice, upon lentiviral delivery of the TRPV1 gene, and in human and mouse primary HSCs, using patch clamp, intracellular Ca2+ mobilization determination, FACS analyses and gain/loss of function experiments. Binding of sterile alpha and Toll/interleukin-1 receptor motif-containing protein 1 (SARM1) to TRPV1 was determined using mass spectrometry, co-immunoprecipitation, surface plasmon resonance, bioluminescence resonance energy transfer, and NanoBiT. RESULTS: TRPV1 mRNA levels are significantly downregulated in patients with liver fibrosis and mouse models, showing a negative correlation with F stage and α-smooth muscle actin expression, a marker of HSC activation. TRPV1 expression and function decrease during HSC activation in fibrotic livers in vivo or during culture. Genetic and pharmacological inhibition of TRPV1 in quiescent HSCs leads to NF-κB activation and pro-inflammatory cytokine production. TRPV1 requires binding of its N-terminal ankyrin repeat domain to the TIR-His583 (Toll/interleukin-1 receptor) domain of SARM1 to prevent HSCs from pro-inflammatory activation. Trpv1-/- mice display increased HSC activation and more severe liver fibrosis, whereas TRPV1 overexpression is antifibrotic in various disease models. CONCLUSION: The antifibrotic properties of TRPV1 are attributed to the prevention of HSC activation via the recruitment of SARM1, which could be an attractive therapeutic strategy against liver fibrosis. IMPACT AND IMPLICATIONS: We identified the neuronal channel protein TRPV1 as a gatekeeper of quiescence in hepatic stellate cells, a key driver of liver fibrogenesis and chronic liver disease. Physiologically expressed in healthy liver and consistently downregulated during liver fibrosis development, its therapeutic re-expression is expected to have few side effects, making it an attractive target diagnostic tool and drug candidate for industry and clinicians.

Effect of Admission and Discharge Times on Hospital Mortality in Patients With Sepsis.

OBJECTIVES: To assess whether the time of admission/discharge time from the ICU and weekend admission are independently associated with hospital mortality in critically ill patients with sepsis. DESIGN: Retrospective study. Each 24-hour period (08:00 to 07:59 hr) was split into three time periods, defined as "day" (08:00 to 16:59 hr), "evening" (17:00 to 23:59 hr), and "night" (00:00 to 07:59 hr). Weekends were defined as 17:00 hours on Friday to 07:59 hours on Monday. Multivariate logistic regression models were conducted to assess the association between the ICU admission/discharge time, weekend admission, and hospital mortality. SETTING: Single-center ICUs in China. PATIENTS: Characteristics and clinical outcomes of 1,341 consecutive septic patients admitted to the emergency ICU, general ICU, or cardiovascular ICU in a tertiary teaching hospital were collected. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: ICU mortality rates were 5.8%, 11.9%, and 10.6%, and hospital mortality rates were 7.3%, 15.6%, and 17.1% during the day, evening, and night time, respectively. Hospital mortality was adjusted for patient to nurse (P/N) ratio, disease severity, Charlson index, age, gender, mechanical ventilation, and shock. Notably, ICU admission time and weekend admission were not predictors of mortality after adjustment. The P/N ratio at admission was significantly associated with mortality ( p < 0.05). The P/N ratio and compliance with the Surviving Sepsis Campaign (SSC) were significantly correlated. After risk adjustment for illness severity at time of ICU discharge and Charlson index, the time of discharge was no longer a significant predictor of mortality. CONCLUSIONS: ICU admission/discharge time and weekend admission were not independent risk factors of hospital mortality in critically ill patients with sepsis. The P/N ratio at admission, which can affect the compliance rate with SSC, was a predictor of hospital survival. Unstable state on transfer from the ICU was the main risk factor for in-hospital death. These findings may have implications for the management of septic patients.

Application of whole-genome tiling array at Shanghai port, China: An alternative method for SARS-CoV-2 surveillance.

The ongoing coronavirus disease 2019 (COVID-19) pandemic, driven by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), highlights the critical role of genomic surveillance in tracking rapidly spreading viruses and their evolving lineages. The emergence of the SARS-CoV-2 tiling array, a comprehensive tool capable of capturing the entire viral genome, has presented a promising avenue for variants. This study introduces the SARS-CoV-2 tiling array as a novel method for port inspection. Using next-generation sequencing as a benchmark, 35 positive samples underwent sequencing through both methodologies, including the Alpha variant (B.1.1.7), Delta variants (AY.120, AY.122, AY.23.1), and Omicron variants (BA.1, BA.2, BA.2.75, BA.4, BA.5, BE.1, BF.7, BN.1, BQ.1, XBB.1) within the sample set. The whole-genome tiling array demonstrated successful identification of various sublineages of SARS-CoV-2. The average sequencing coverage rates were 99.22% (96.82%-99.92%) for the whole-genome tiling array and 98.56% (92.81%-99.59%) for Illumina sequencing, respectively. The match rates of these two methods ranged from 92.81%-99.59%, with an average rate of 98.56%. Among the benefits of the whole-genome tiling array are its cost-effectiveness and equipment simplification, making it particularly suitable for identifying SARS-CoV-2 variants in the front-line inspection department. The aforementioned findings provide valuable insights into the surveillance of COVID-19 and present a pragmatic solution for improving quarantine measures at entry points.

Secure RoF system based on key nested polar code and feedback neural network.

With the development of 6 G network, the issue of information security is becoming more and more significant. In this paper, a secure RoF system based on key nested polar code and feedback neural network (FNN) is proposed. For the nested polar code, the original key is randomly selected from the constructed codebook and the index of key is encoded by inner polar code which is placed at the location with better channel quality bit of the frozen bit of outer polar code, for the other part of outer polar code, information bits are encrypted by chaotic sequence generated by 4-D cellular neural network. The polar coded sequence is mapped to the 16-QAM symbol for orthogonal frequency division multiplexing (OFDM) and then the OFDM signal is modulated to the optical pulse, which is delivered to users through 50 km standard single-mode fiber and 5 m wireless channel. In the receiver, successive cancellation list (SCL) decoder is used for decoding outer polar code and FNN is used for decoding inner polar code to reduce the latency. The experimental results show that, compared with the existing scheme, when the bit err rate is 10-3, the received optical power (ROP) gain of the proposed scheme with SCL2 decoder and SCL4 decoder is ∼1.2 dB and ∼1.6 dB, respectively. And compared with the traditional OFDM signal with polar code, when the bit err rate is 10-3, the ROP gain of the proposed scheme with SCL4 decoder is ∼1 dB. What's more, the randomness of the chaotic key sequence, the ability to resist brute-force attacks and the ability to resist chosen-plaintext attacks are elaborated. Therefore, the proposed scheme can greatly improve the security of the system while ensuring the correct transmission of information.

Coordinated-security based on probabilistic shaping and encryption in MMW-RoF system.

A coordinated-security probabilistic shaping (PS) physical layer encryption scheme is proposed for a W-band millimeter-wave radio-over-fiber (MMW-RoF) system. This scheme mainly includes substituting encryption, coordinated encrypted PS, and unequal length grouping scrambling, which can realize the coordination between PS and chaotic encryption. The key space of the proposed scheme is 10103, which can effectively prevent against brute force cracking and chosen-plaintext attacks. The encrypted orthogonal frequency division multiplexing (OFDM) signal is successfully transmitted over 50-km standard single-mode fiber (SSMF) and a 5-m wireless channel. The results show that the proposed scheme achieves 0.8-dB received optical power gain at a bit error rate (BER) of 10-3 compared with a traditional OFDM signal. The superiority of the proposed scheme in security performance and BER performance has been verified.

RT-RPA-Cas12a-based assay facilitates the discrimination of SARS-CoV-2 variants of concern.

Timely and accurate detection of SARS-CoV-2 variants of concern (VOCs) is urgently needed for pandemic surveillance and control. Great efforts have been made from a mass of scientists in increasing the detection sensitivity and operability, and reducing the turn-around time and cost. Here, we report a nucleic acid testing-based method aiming to detect and discriminate SARS-CoV-2 mutations by combining RT-RPA and CRISPR-Cas12a detecting assays (RRCd). With a detection limit of 10 copies RNA/reaction, RRCd was validated in 194 clinical samples, showing 89% positive predictive agreement and 100% negative predictive agreement, respectively. Critically, using specific crRNAs, representatives of single nucleotide polymorphisms and small deletions in SARS-CoV-2 VOCs including N501Y, T478K and ΔH69-V70 were discriminated by RRCd, demonstrating 100% specificity in clinical samples with C t < 33. The method completes within 65 min and could offer visible results without using any electrical devices, which probably facilitate point-of-care testing of SARS-CoV-2 variants and other epidemic viruses.

Online COVID-19 diagnosis prediction using complete blood count: an innovative tool for public health.

BACKGROUND: COVID-19, caused by SARS-CoV-2, presents distinct diagnostic challenges due to its wide range of clinical manifestations and the overlapping symptoms with other common respiratory diseases. This study focuses on addressing these difficulties by employing machine learning (ML) methodologies, particularly the XGBoost algorithm, to utilize Complete Blood Count (CBC) parameters for predictive analysis. METHODS: We performed a retrospective study involving 2114 COVID-19 patients treated between December 2022 and January 2023 at our healthcare facility. These patients were classified into fever (1057 patients) and pneumonia groups (1057 patients), based on their clinical symptoms. The CBC data were utilized to create predictive models, with model performance evaluated through metrics like Area Under the Receiver Operating Characteristics Curve (AUC), accuracy, sensitivity, specificity, and precision. We selected the top 10 predictive variables based on their significance in disease prediction. The data were then split into a training set (70% of patients) and a validation set (30% of patients) for model validation. RESULTS: We identified 31 indicators with significant disparities. The XGBoost model outperformed others, with an AUC of 0.920 and high precision, sensitivity, specificity, and accuracy. The top 10 features (Age, Monocyte%, Mean Platelet Volume, Lymphocyte%, SIRI, Eosinophil count, Platelet count, Hemoglobin, Platelet Distribution Width, and Neutrophil count.) were crucial in constructing a more precise predictive model. The model demonstrated strong performance on both training (AUC = 0.977) and validation (AUC = 0.912) datasets, validated by decision curve analysis and calibration curve. CONCLUSION: ML models that incorporate CBC parameters offer an innovative and effective tool for data analysis in COVID-19. They potentially enhance diagnostic accuracy and the efficacy of therapeutic interventions, ultimately contributing to a reduction in the mortality rate of this infectious disease.

A Differential Confocal Sensor for Simultaneous Position and Slope Acquisitions Based on a Zero-Crossing Prediction Algorithm.

A new sensor type is proposed to accurately detect the surface profiles of three-dimensional (3D) free-form surfaces. This sensor is based on the single-exposure, zero-crossing method and is used to measure position and angle simultaneously. First, the field intensity distribution in the posterior focal plane of the confocal microscope's objective was modeled accurately. Second, because the camera needs to trigger acquisition when the surface (to be measured) reaches the focal position of the sensor, a zero-crossing prediction method based on a sliding window was proposed. Third, a fast, spatially convergent, peak-extraction algorithm was proposed to improve the accuracy and efficiency of peak extraction. This scheme reduces system installation and adjustment difficulties, and the single-exposure, zero-crossing method achieves high-speed, real-time image acquisitions. The experimental results indicate that the average error of the zero-crossing prediction system was 17.63 nm, the average error of the tilt degree measurement was 0.011° in the range of 0-8°, and the prediction error of the tilt direction measurement was 0.089° in the range of 0-360°. The sensor can measure the slope and can be potentially used for 3D surface precision detection.