Stimulation of fracture mineralization by salt-inducible kinase inhibitors.

Introduction: Over 6.8 million fractures occur annually in the US, with 10% experiencing delayed- or non-union. Anabolic therapeutics like PTH analogs stimulate fracture repair, and small molecule salt inducible kinase (SIK) inhibitors mimic PTH action. This study tests whether the SIK inhibitor YKL-05-099 accelerates fracture callus osteogenesis. Methods: 126 female mice underwent femoral shaft pinning and midshaft fracture, receiving daily injections of PBS, YKL-05-099, or PTH. Callus tissues were analyzed via RT-qPCR, histology, single-cell RNA-seq, and µCT imaging. Biomechanical testing evaluated tissue rigidity. A hydrogel-based delivery system for PTH and siRNAs targeting SIK2/SIK3 was developed and tested. Results: YKL-05-099 and PTH-treated mice showed higher mineralized callus volume fraction and improved structural rigidity. RNA-seq indicated YKL-05-099 increased osteoblast subsets and reduced chondrocyte precursors. Hydrogel-released siRNAs maintained target knockdown, accelerating callus mineralization. Discussion: YKL-05-099 enhances fracture repair, supporting selective SIK inhibitors' development for clinical use. Hydrogel-based siRNA delivery offers targeted localized treatment at fracture sites.

Long-term intermittent oral administration of selective COX-2 inhibitor improved the clinical outcomes of COVID-19 in patients with cirrhosis.

OBJECTIVES: Patients with cirrhosis are more susceptible to coronavirus disease 2019 (COVID-19) due to immune dysfunction. In this retrospective study we aimed to investigate whether suppression of mild systemic inflammation with selective cyclooxygenase-2 inhibitor (COX-2-I) during chronic care of cirrhotic patients would reduce the occurrence of acute decompensated events and improve patient prognosis of COVID-19. METHODS: Medical records of cirrhotic patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection were sequentially reviewed. The patients were divided into the COX-2-I and control groups depending on whether they took oral selective COX-2-I for over 3 months or not. The primary outcomes included the occurrence of severe/critical COVID-19, acute decompensated events, and acute-on-chronic liver failure (ACLF). RESULTS: After propensity score matching analysis, there were 314 cases in the control group and 118 cases in the COX-2-I group. Compared with the control group, the risk of severe/critical COVID-19 in the COX-2-I group was significantly decreased by 83.1% (p = 0.004). Acute decompensated events and ACLF occurred in 23 (7.32%) and nine (2.87%) cases in the control group, but none in the COX-2-I group (p = 0.003 and 0.122). The rate of hospitalization in the COX-2-I group was significantly lower than that of the control group (3.39% vs 13.06%, p = 0.003). No patient in the COX-2-I group required intensive care unit admission. CONCLUSIONS: Long-term intermittent oral administration of selective COX-2-I in cirrhotic patients significantly reduces the occurrence of severe/critical COVID-19, acute decompensated events, and ACLF. It may also be used for systemic inflammation caused by other pathogens.

Artificial Electron Channels Enable Contact Prelithiation of Li-Ion Battery Anodes with Ultrahigh Li-Source Utilization.

Contact prelithiation is widely used for compensating the initial capacity loss of lithium-ion batteries (LIBs). However, the low Li-source utilization suffering from the deteriorated contact interfaces results in cycling degeneration. Herein, Li-Ag alloy-based artificial electron channels (AECs) are established in Li source/graphite anode contact interfaces to promote Li-source conversion. Due to the shielding effect of the Li-Ag alloy (50 at. % Li) on Li-ion diffusion, the dry-state corrosion of contact interfaces is restricted. The unblocked electronic conduction across the AEC-involved interface not only facilitates the Li source conversion but also accelerates the prelithiation kinetics during the wet-state process, resulting in an ultrahigh Li-source utilization (90.7%). Thereby, implementing AEC-assisted prelithiation in a LiNi0.5Co0.2Mn0.3O2 pouch cell yields a 35.8% increase in energy density and stable cycling over 600 cycles. This finding affords significant insights into the construction of an efficient prelithiation technology toward the development of high-energy LIBs.

Visual assessment and quantitative analysis of dual-energy CT virtual non-calcium in imaging diagnosis of multiple myeloma.

OBJECTIVE: To evaluate the reliability and diagnostic performance of dual-energy CT virtual non-calcium imaging in diagnosing bone marrow infiltration in multiple myeloma. MATERIALS AND METHODS: Seventy-two patients with multiple myeloma and ten controls were recruited. Patients received dual-energy CT and MRI while controls underwent dual-energy CT only, covering the cervical, thoracic, and lumbar spine and the pelvis. Virtual non-calcium images were compared with magnetic resonance images for confirmation and pattern classification. Fleiss Kappa analysis assessed consistency between virtual non-calcium and MRI classifications. Inter-observer agreement for virtual non-calcium and CT attenuation values was evaluated using Bland-Altman analysis. Diagnostic performances across various sites were evaluated using analysis of variance and receiver operating characteristic curve analysis. RESULTS: Dual-energy CT achieved higher consistency in classifying bone marrow infiltration in multiple myeloma than did MRI (kappa = 0.944). In the overall analysis, the mean virtual non-calcium attenuation values in the bone marrow infiltration group (- 28.3 HU; 95% confidence interval (CI), - 32.1, - 24.6) were higher than those in the non-bone marrow infiltration (- 97.5 HU; 95% CI, - 104.7, - 90.3) and control (- 89.1 HU; 95% CI, - 95.1, - 83.1; F = 172.027, P < 0.001) groups. The optimal cutoff values for virtual non-calcium attenuation varied across the overall (- 42.2 HU), cervical spine (- 21.9 HU), thoracic spine (- 42.8 HU), lumbar spine (- 56.9 HU), and pelvis (- 66.3 HU). CONCLUSION: Dual-energy CT virtual non-calcium imaging and MRI exhibited good consistency in categorising bone marrow infiltration patterns in multiple myeloma. Different virtual non-calcium attenuation value cutoffs should be used to diagnose bone marrow infiltration in various body regions.

Semaglutide ameliorates Alzheimer's disease and restores oxytocin in APP/PS1 mice and human brain organoid models.

AIMS: To investigate the therapeutic effects and mechanisms of Semaglutide in Alzheimer's disease (AD), and identify its potential targets. METHODS: We systematically evaluated the effect of Semaglutide on Alzheimer's disease (AD), using both mice and human organoid models. RESULTS: Behavioral analyses on APP/PS1 mice demonstrated that Semaglutide improved the cognitive capabilities, particularly in the learning and memory domains. Biochemical investigations further highlighted its role in reducing amyloid plaque deposition and down-regulating the expression of glial fibrillary acidic protein (GFAP) and ionized calcium binding adaptor molecule 1 (Iba1) expression in the mouse brain tissues. Meanwhile, oxytocin (OXT) was up-regulated after Semaglutide treatment. Subsequent studies using human AD-brain organoids (BOs) models revealed that, upon Semaglutide treatment, these AD-BO models also exhibited reduced levels of amyloid-beta (Aß), phosphorylated Tau (p-Tau) and GFAP expression as well as increased OXT level. CONCLUSIONS: Semaglutide can ameliorate Alzheimer's disease in pre-clinical models, suggesting the promising therapeutic potential in AD patients.

Assessing the accuracy of CMRtools software for diagnosing liver iron overload in thalassemia patients: influencing factors and optimisation strategies.

Background: CMRtools is a software package that can be used to measure T2* values to diagnose liver iron overload, however, its accuracy in terms is affected by multiple factors, including goodness-of-fit (R2 value), the number of echo time (TE) images, and the liver iron concentration (LIC). To investigate the effects of the R2 value, the number of TE images, and the LIC on the accuracy of CMRtools software for measuring T2* values to diagnose liver iron overload (LIO). Materials and methods: CMRtools software was used to measure liver T2* values among 108 thalassemia patients via the truncation method, and the R2 values, the number of TE images, and T2* values were recorded. These values were subsequently converted into liver iron concentration (LICT) values. The LICF (derived from MRI-R2/FerriScan) was used as a reference, and the diagnostic accordance rate (DAR) was compared between R2 value subgroups, between TE image number subgroups, and between LIC subgroups. Results: The greater the R2 value was, the greater the standardized DAR (SDAR) was (p < 0.05). The SDAR are not identical between each TE image number subgroup (p > 0.05). However, the relationship between TE image number subgroups and SDAR was analysed using Spearman's correlation, and it was found to be positively correlated (rs = 0.729, p = 0.017). The SDAR are not identical between each LIC subgroup (p > 0.05), furthermore, the relationship between LIC subgroup and SDAR was found irrelevant (p = 0.747). Conclusion: The accuracy of CMRtools software for diagnosing LIO in patients with thalassemia can be improved by artificially controlling the number of TE images to be fitted and selecting higher R2 values.

Slc4a7 Regulates Retina Development in Zebrafish.

Inherited retinal degenerations (IRDs) are a group of genetic disorders characterized by the progressive degeneration of retinal cells, leading to irreversible vision loss. SLC4A7 has emerged as a candidate gene associated with IRDs, yet its mechanisms remain largely unknown. This study aims to investigate the role of slc4a7 in retinal development and its associated molecular pathogenesis in zebrafish. Morpholino oligonucleotide knockdown, CRISPR/Cas9 genome editing, quantitative RT-PCR, eye morphometric measurements, immunofluorescent staining, TUNEL assays, visual motor responses, optokinetic responses, rescue experiments, and bulk RNA sequencing were used to assess the impact of slc4a7 deficiency on retinal development. Our results demonstrated that the knockdown of slc4a7 resulted in a dose-dependent reduction in eye axial length, ocular area, and eye-to-body-length ratio. The fluorescence observations showed a significant decrease in immunofluorescence signals from photoreceptors and in mCherry fluorescence from RPE in slc4a7-silenced morphants. TUNEL staining uncovered the extensive apoptosis of retinal cells induced by slc4a7 knockdown. Visual behaviors were significantly impaired in the slc4a7-deficient larvae. GO and KEGG pathway analyses reveal that differentially expressed genes are predominantly linked to aspects of vision, ion channels, and phototransduction. This study demonstrates that the loss of slc4a7 in larvae led to profound visual impairments, providing additional insights into the genetic mechanisms predisposing individuals to IRDs caused by SLC4A7 deficiency.

Effects of Electrochemical Hydrogen Charging Parameters on the Mechanical Behaviors of High-Strength Steel.

Extended exposure to seawater results in the erosion of the structural high-strength steels utilized in marine equipment, primarily due to the infiltration of hydrogen. Consequently, this erosion leads to a decrease in the mechanical properties of the material. In this investigation, the mechanical responses of Q690 structural high-strength steel specimens were investigated by considering various hydrogen charging parameters, such as the current density, charging duration, and solution concentration values. The findings highlighted the significant impacts of electrochemical hydrogen charging parameters on the mechanical behaviors of Q690 steel samples. Specifically, a linear relationship was observed between the mechanical properties and the hydrogen charging current densities, while the associations with the charging duration and solution concentration were nonlinear. Additionally, the fracture morphology under various hydrogen charging parameters was analyzed and discussed. The results demonstrate that the mechanical properties of the material degrade with increasing hydrogen charging parameters, with tensile strength and yield stress decreasing by approximately 2-4%, and elongation after fracture reducing by about 20%. The findings also reveal that macroscopic fractures exhibit significant necking in uncharged conditions. As hydrogen charging parameters increase, macroscopic necking gradually diminishes, the number of microscopic dimples decreases, and the material ultimately transitions to a fully brittle fracture.

Impact of diet and bacterial supplementation regimes on Orius strigicollis microbiota and life history performance.

Given the growing interest in manipulating microbiota to enhance the fitness of mass-reared insects for biological control, this study investigated the impact of an artificial diet on the microbiota composition and performance of Orius strigicollis. We compared the microbiota of O. strigicollis fed on an artificial diet and moth eggs via culturing and 16S rRNA gene amplicon sequencing. Subsequently, we assessed life history traits and immune gene expression of O. strigicollis fed on the artificial diet supplemented with Pantoea dispersa OS1. Results showed that microbial diversity remained largely unaffected by the artificial diet, with similar microbiota compositions in both diet groups. OS1, a minor member of the microbiota but significantly enriched in bugs fed on the artificial diet, improved nymphal survival rates and shifted adult longevity-reproduction life history in females. Additionally, OS1 supplementation elevated the transcription of antimicrobial peptide diptericin. According to population parameters, the group receiving OS1 only during the nymphal stage showed higher population growth potential compared to the group supplemented across all life stages. These findings reveal the resilience of O. strigicollis microbiota under distinct dietary conditions and highlight the potential of using natural symbionts and specific supplementation regimes to improve Orius rearing for future biocontrol programs.

Epidemiology of Human Parainfluenza Virus Infections among Pediatric Patients in Hainan Island, China, 2021-2023.

Human parainfluenza viruses (HPIVs) are the leading causes of acute respiratory tract infections (ARTIs), particularly in children. During the COVID-19 pandemic, non-pharmaceutical interventions (NPIs) significantly influenced the epidemiology of respiratory viruses. This study analyzed 19,339 respiratory specimens from pediatric patients with ARTIs to detect HPIVs using PCR or tNGS, focusing on the period from 2021 to 2023. HPIVs were identified in 1395 patients (7.21%, 1395/19,339), with annual detection rates of 6.86% (303/4419) in 2021, 6.38% (331/5188) in 2022, and 7.82% (761/9732) in 2023. Notably, both the total number of tests and HPIV-positive cases increased in 2023 compared to 2021 and 2022. Seasonal analysis revealed a shift in HPIV prevalence from winter and spring in 2021-2022 to spring and summer in 2023. Most HPIV-positive cases were in children aged 0-7 years, with fewer infections among those aged 7-18 years. Since June 2022, HPIV-3 has been the most prevalent serotype (59.55%, 524/880), whereas HPIV-2 had the lowest proportion (0.80%, 7/880). The proportions of HPIV-1 (24.89%, 219/880) and HPIV-4 (15.45%, 136/880) were similar. Additionally, the incidence of co-infections with other common respiratory pathogens has increased since 2021. This study highlights rising HPIV detection rates post-COVID-19 and underscores the need for continuous surveillance of HPIVs to inform public health strategies for future epidemic seasons.

Abdominal multi-organ iron content and the risk of Parkinson's disease: a Mendelian randomization study.

Background: To evaluate the causal relationship between abdominal multi-organ iron content and PD risk using publicly available genome-wide association study (GWAS) data. Methods: We conducted MR analysis to assess the effects of iron content in various abdominal organs on PD risk, followed by reverse analysis. Additionally, MVMR analysis evaluated the independent effects of organ-specific iron content on PD. We utilized genetic variation data from the UK Biobank, including liver iron content (n = 32,858), spleen iron content (n = 35,324), and pancreas iron content (n = 25,617), as well as summary-level data for Parkinson's disease from the FinnGen (n = 218,473) and two other large GWAS datasets of European populations (First dataset n = 480,018; Second dataset n = 2,829). The primary MR analysis used the inverse variance-weighted (IVW) method, confirmed by MR-Egger and weighted median methods. Sensitivity analysis was performed to address potential pleiotropy and heterogeneity. Observational cohort results were validated through replication cohort analysis, followed by meta-analysis. Results: IVW analysis revealed a causal relationship between increased liver iron content and elevated risk of PD (OR = 1.27; 95% CI: 1.05-1.53; p = 0.015). No significant causal relationship was observed between spleen (OR = 1.00; 95% CI: 0.76-1.32; p = 0.983) and pancreatic (OR = 0.93; 95% CI: 0.72-1.20; p = 0.573) iron content and increased risk of PD. Meta-analysis of GWAS data for PD from three different sources using the random-effects IVW method showed a statistically significant causal relationship between liver iron content and the occurrence of PD (OR = 1.17, 95% CI: 1.01-1.35; p = 0.012). Conclusion: This study presents evidence from Mendelian randomization (MR) analysis indicating a significant causal link between increased liver iron content and a higher risk of Parkinson's disease (PD). These findings suggest that interventions targeting body iron metabolism, particularly liver iron levels, may be effective in preventing PD.

Dye-doped cellulose nanocrystals as novel dusting powders for visualizing latent fingerprints.

Powder-dusting method based on the visual contrast between the background surface and powder-covered ridges of a fingerprint is widely used to develop the invisible latent fingerprints (LFPs) left at crime scenes. Recently, the development of nano-sized powders with excellent optical performances has been extensively explored. In this work, we employed environmentally friendly and low-toxicity cellulose nanocrystals as the novel support. Using dye-doped cellulose nanocrystals as novel dusting powders, two dyes (phenylfluorone and curcumin) were adsorbed on the cellulose nanocrystals by a simple batch adsorption method. The dye-doped cellulose nanocrystals (namely, phenylfluorone-doped cellulose nanocrystals (PDCN) and curcumin-doped cellulose nanocrystals (CDCN)) containing 2% of the loaded mass of both the dyes with bright green fluorescence were developed to visualize LFPs on the surfaces of various substrates (such as glass slide, printing paper, orange plastic card, tile, stainless steel, compact disc, red plastic packing, copper foil and aluminum foil). Images of the LFPs can been obtained by both the dye-doped cellulose nanocrystals with sufficient affinity to the ridges of LFPs. High-quality ridge details with features at the second and third level can be detected by CDCN, whereas PDCN only display the secondary-level features of ridge details. Compared with PDCN, CDCN illustrate higher sensitivity, higher selectivity, and better contrast, especially for detecting fresh and non-fresh LFPs on porous and non-porous substrates, and has the potential for practical use in forensic science.

Urolithin B inhibits the differentiation of M1 macrophages and relieves the inflammation around the implants under osteoporosis via down-regulating the phosphorylation of VEGFR2.

The inflammation causes the destroyed osseointegration at the implant-bone interface, significantly increasing the probability of implant loosening in osteoporotic patients. Currently, inhibiting the differentiation of M1 macrophages and the inflammatory response could be a solution to stabilize the microenvironment of implants. Interestingly, some natural products have anti-inflammatory and anti-polarization effects, which could be a promising candidate for stabilizing the implants' microenvironment in osteoporotic patients. This research aims to explore the inhibitory effect of Urolithin B(UB) on macrophage M1 polarization, which ameliorates inflammation, thus alleviating implant instability. We established an osteoporosis mouse model of implant loosening. The mouse tissues were taken out for morphological analysis, staining analysis, and bone metabolic index analysis. In in vitro experiments, RAW264.7 cells were polarized to M1 macrophages using lipopolysaccharide (LPS) and analyzed by immunofluorescence (IF) staining, Western blot (WB), and flow cytometry. The CSP100 plus chip experiments were used to explore the potential mechanisms behind the inhibiting effects of UB. Through observation of these experiments, UB can improve the osseointegration between the implants and femurs in osteoporotic mice and enhance the stability of implants. The UB can inhibit the differentiation of M1 macrophages and local inflammation via inhibiting the phosphorylation of VEGFR2, which can be further proved by the weakened inhibited effects of UB in macrophages with lentivirus-induced overexpression of VEGFR2. Overall, UB can specifically inhibit the activation of VEGFR2, alleviate local inflammation, and improve the stability of implants in osteoporotic mice.

Quantification of Cardiac Iron Overload at 3 T MRI in a Rabbit Model Utilizing ME-GRE T2* Sequence.

BACKGROUND: Myocardial iron overload can lead to myocardial dysfunction, muscle cell injury, and end-stage heart failure. The enhanced signal-to-noise ratio and technical advancements have made 3 T magnetic resonance imaging (MRI) more accessible in clinical settings. However, 3 T assessments for early diagnosis of myocardial iron overload are scarce. PURPOSE: To evaluate the feasibility of myocardial iron quantification using 3 T MRI in a rabbit model of iron overload. STUDY TYPE: Animal model. ANIMAL MODEL: Overall, 40 male New Zealand white rabbits were categorized into control (N = 8; no treatment) and experimental (N = 32; weekly 200 mg/kg iron dextran injections) groups. SEQUENCE: 3 T MRI with multi-echo gradient echo (ME-GRE) T2* sequence. ASSESSMENT: Each week, two experimental rabbits were randomly selected for blood collection to determine serum iron (SI) levels; their tissue was harvested to assess myocardial and hepatic iron deposition. STATISTICAL TESTS: Spearman's rank correlation tests were used to evaluate the correlations among R2*, cardiac iron concentration (CIC), liver iron concentration (LIC), total amount of iron injected, and SI levels. P ≤ 0.05 was considered statistically significant. RESULTS: The myocardial T2* value in the experimental group was significantly lower than that of the control group. An excellent correlation was observed between R2* values and CIC (r = 0.854). CIC moderately correlated with LIC (r = 0.712) and the total amount of iron injected (r = 0.698). A strong correlation was observed between the total amount of iron injected and LIC (r = 0.866). SI levels poorly correlated with the total amount of iron injected (r = 0.205, P = 0.277) and LIC (r = 0.170, P = 0.370) but fairly correlated with CIC (r = 0.415, P = 0.022). DATA CONCLUSION: A 3 T MRI with an ME-GRE sequence may serve as a noninvasive method for evaluating cardiac iron content. EVIDENCE LEVEL: N/A TECHNICAL EFFICACY: Stage 1.

A comprehensive analysis of TRP-related gene signature, and immune infiltration in patients with colorectal cancer.

BACKGROUND: Transient receptor potential (TRP) channels are involved in the development and progression of tumors. However, their role in colorectal cancer (CRC) remains unclear, and this study aims to investigate the role of TRP-related genes in CRC. METHODS: Data was obtained from The Cancer Genome Atlas (TCGA) database, and analyses were conducted on the GSE14333 and GSE38832 datasets to assess the prognosis and mark TRP-related genes (TRGs). Subsequently, clustering analysis and immune infiltration analysis were performed to explore the relevant TRGs. In vitro validation of key TRGs' gene and protein expression was conducted using human colon cancer cells. RESULTS: Compared to normal tissues, 8 TRGs were significantly upregulated in CRC, while 11 were downregulated. TRPA1 was identified as a protective prognostic factor, whereas TRPM5 (HR = 1.349), TRPV4 (HR = 1.289), and TRPV3 (HR = 1.442) were identified as prognostic risk factors. Receiver operating characteristic (ROC) curves and Kaplan-Meier (KM) analyses yielded similar results. Additionally, lower expression of TRPA1 and higher expression of TRPV4 and TRPM5 were negatively correlated with patient prognosis, and experimental validation confirmed the underexpression of TRPA1 and overexpression of TRPV4 and TRPM5 in CRC cell lines. CONCLUSION: This study identifies a TRP channel-related prognosis in CRC, providing a novel approach to stratifying CRC prognosis.

Left bundle branch pacing in third-degree atrioventricular block following morrow surgery: a case report.

Left bundle branch pacing (LBBP) has proven to be an alternative method for delivering physiological pacing to achieve electrical synchrony of the left ventricle (LV), especially in patients with atrioventricular block and left bundle branch block (LBBB). However, it is unclear whether it still achieved in patients whose left bundle branch (LBB) has had surgery-induced damage. The Morrow operation (Morrow septal myectomy) is regarded as one of the most effective treatments for hypertrophic obstructive cardiomyopathy (HOCM). The surgery resects small sections of muscle tissue in the proximal ventricular septum nearby or contains the LBB, which means that physical damage to the LBB is almost inevitable. Approximately 2%-12% of patients may need pacemaker implanted after Morrow surgery. LBBP is a feasible and effective method for achieving electric resynchronization of LBBB compared to right ventricular pacing (RVB). Nevertheless, there is a dearth of data on LBBP in third-degree atrioventricular block (AVB) following Morrow surgery. We report a case of successful LBBP in those patients.

Nanoporous Heterojunction Photocatalysts with Engineered Interfacial Sites for Efficient Photocatalytic Nitrogen Fixation.

Photocatalytic N2 reduction reaction (PNRR) offers a promising strategy for sustainable production of ammonia (NH3). However, the reported photocatalysts suffer from low efficiency with great room to improve regarding the charge carrier utilization and active site engineering. Herein, a porous and chemically bonded heterojunction photocatalyst is developed for efficient PNRR to NH3 production via hybridization of two semiconducting metal-organic frameworks (MOFs), MIL-125-NH2 (MIL=Material Institute Lavoisier) and Co-HHTP (HHTP=2,3,6,7,10,11-hexahydroxytripehenylene). Experimental and theoretical results demonstrate the formation of Ti-O-Co chemical bonds at the interface, which not only serve as atomic pathway for S-scheme charge transfer, but also provide electron-deficient Co centers for improving N2 chemisorption/activation capability and restricting competitive hydrogen evolution. Moreover, the nanoporous structure allows the transportation of reactants to the interfacial active sites at heterojunction, enabling the efficient utilization of charge carriers. Consequently, the rationally designed MOF-based heterojunction exhibits remarkable PNRR performance with an NH3 production rate of 2.1 mmol g-1 h-1, an apparent quantum yield (AQY) value of 16.2% at 365 nm and a solar-to-chemical conversion (SCC) efficiency of 0.28%, superior to most reported PNRR photocatalysts. Our work provides new insights into the design principles of high-performance photocatalysts.

Anthracite-Derived Porous Carbon@MoS2 Heterostructure for Elevated Lithium Storage Regulated by the Middle TiO2 Layer.

The rational design of MoS2/carbon composites have been widely used to improve the lithium storage capability. However, their deep applications remain a big challenge due to the slow electrochemical reaction kinetics of MoS2 and weak bonding between MoS2 and carbon substrates. In this work, anthracite-derived porous carbon (APC) is sequential coated by TiO2 nanoparticles and MoS2 nanosheets via a chemical activation and two-step hydrothermal method, forming the unique APC@TiO2@MoS2 ternary composite. The dynamic analysis, in-situ electrochemical impedance spectroscopy as well as theoretical calculation together demonstrate that this innovative design effectively improves the ion/electron transport behavior and alleviates the large volume expansion during cycles. Furthermore, the introduction of middle TiO2 layer in the composite significantly strengthens the mechanical stability of the entire electrode. As expected, the as-prepared APC@TiO2@MoS2 anode displays a high lithium storage capacity with a reversible capacity of 655.8 mAh g-1 after 150 cycles at 200 mA g-1, and robust cycle stability. Impressively, even at a high current density of 2 A g-1, the electrode maintains a superior reversible capacity of 597.7 mAh g-1 after 1100 cycles. This design highlights a feasibility for the development of low-cost anthracite-derived porous carbon-based electrodes.

A novel multivariate time series forecasting dendritic neuron model for COVID-19 pandemic transmission tendency.

A novel coronavirus discovered in late 2019 (COVID-19) quickly spread into a global epidemic and, thankfully, was brought under control by 2022. Because of the virus's unknown mutations and the vaccine's waning potency, forecasting is still essential for resurgence prevention and medical resource management. Computational efficiency and long-term accuracy are two bottlenecks for national-level forecasting. This study develops a novel multivariate time series forecasting model, the densely connected highly flexible dendritic neuron model (DFDNM) to predict daily and weekly positive COVID-19 cases. DFDNM's high flexibility mechanism improves its capacity to deal with nonlinear challenges. The dense introduction of shortcut connections alleviates the vanishing and exploding gradient problems, encourages feature reuse, and improves feature extraction. To deal with the rapidly growing parameters, an improved variation of the adaptive moment estimation (AdamW) algorithm is employed as the learning algorithm for the DFDNM because of its strong optimization ability. The experimental results and statistical analysis conducted across three Japanese prefectures confirm the efficacy and feasibility of the DFDNM while outperforming various state-of-the-art machine learning models. To the best of our knowledge, the proposed DFDNM is the first to restructure the dendritic neuron model's neural architecture, demonstrating promising use in multivariate time series prediction. Because of its optimal performance, the DFDNM may serve as an important reference for national and regional government decision-makers aiming to optimize pandemic prevention and medical resource management. We also verify that DFDMN is efficiently applicable not only to COVID-19 transmission prediction, but also to more general multivariate prediction tasks. It leads us to believe that it might be applied as a promising prediction model in other fields.