Smartphone-assisted colorimetric biosensor for the rapid visual detection of natural antioxidants in food samples.

Quantitative monitoring of the concentrations of epigallocatechin gallate (EGCG) and cysteine (Cys) is of great significance for promoting human health. In this study, iron/aluminum bimetallic MOF material MIL-53 (Fe, Al) was rapidly prepared under room temperature using a co-precipitation method, followed by investigating the peroxidase-like (POD-like) activity of MIL-53(Fe, Al) using 3,3',5,5'-tetramethylbenzidine (TMB) as a chromogenic substrate. The results showed that the Michaelis -Menten constants of TMB and H2O2 as substrates were 0.167 mM and 0.108 mM, respectively. A colorimetric sensing platform for detecting EGCG and Cys was developed and successfully applied for analysis and quantitative detection using a smartphone. The linear detection range for EGCG was 15∼80 µM (R2=0.994) and for Cys was 7∼95 µM (R2=0.998). The limits of detection (LOD) were 0.719 µM and 0.363 µM for EGCG and Cys, respectively. This work provides a new and cost-effective approach for the real-time analysis of catechins and amino acids.

Facile synthesis of a novel CeCO3OH@(H/C-CdS) catalyst with synergistic effect of heterophase junction and heterojunction for enhanced visible-light photocatalytic degradation efficiency at room temperature.

A new CeCO3OH@(hexagonal/cubic phases-CdS) (CeCO3OH@(H/C-CdS)) composite catalyst was facilely synthesized by a simple microinjection titration-stirring method, in which CdS nanoparticles were dispersed on the surface of CeCO3OH nanolines. The optimal conditions for the preparation of composite catalysts with high photocatalytic performance were determined by single-factor experiments and response surface experiments. Under these conditions, the degradation rate of 30 mL 2.000 g/L rhodamine B (Rh B) by CeCO3OH@(H/C-CdS) in a photocatalytic reaction for 1 h at 25 °C was up to 86.81 % and its degradation rate in a photocatalytic reaction for 150 min was up to 99.62 %. The degradation rate could be maintained above 80 % even after six times recycling. Especially, the photocatalytic degradation efficiency of 2.000 g/L Rh B on the composite catalyst under sunlight and at room temperature for 30 min reached 97.66 %. Meanwhile, the large size of CeCO3OH considerably alleviated the agglomeration of CdS, providing more adsorption and active sites for visible light-mediated degradation of Rh B. Importantly, the Z-scheme charge transfer realized by CdS and CeCO3OH enhanced the efficient separation of photogenerated electrons and holes, and successfully inhibited the recombination of photogenerated electrons with holes. At the same time, owing to the low energy band difference between the two phases of CdS, charge was transferred between the hexagonal and cubic phases, leaving more effective photogenerated charge to participate in the degradation of Rh B. The synergism of the heterophase junction and heterojunction and the presence of oxygen and sulfur vacancies considerably enhanced the degradation performance of the catalyst. Thus, this study provides a new strategy for the modification and enhanced visible-light catalysis performance of CdS-based catalysts.

MoO3 nanobelts cathode promotes Al3+ insertion in aqueous aluminum-ion batteries.

Aqueous aluminium ion batteries (AAIBs) have attracted much attention due to their high theoretical capacity, safety, and environmental friendliness. However, the Research and Development (R&D) of cathode materials has limited its development and application. MoO3 has been proven to be a reliable and stable cathode material, nevertheless, it faces the dilemma of poor cycling performance and low specific capacity in AAIBs due to the irreversible phase transition in its structure. In this paper, MoO3 synthesized by a hydrothermal method has a unique nanobelt structure, which significantly enhances the structural stability of MoO3 and reduces its structural damage during charging/discharging. In addition, the nanobelt structure also gives MoO3 a rougher surface, which provides a large number of active sites and spaces for the insertion and extraction of Al3+ and improves the diffusion rate of Al3+ to a large extent. Experimental results demonstrate that this MoO3 nanobelt cathode exhibits significantly improved cycling stability and high specific capacity in AAIBs. This paper provides a practical solution to the existing challenges of AAIBs and further promotes the development and application of molybdenum-based materials in AAIBs.

Steroid lifting method during endoscopic submucosal dissection: A novel strategy for stricture prevention.

A 73-year-old male patient was referred to us with a long Barrett's esophagus (BE). He had a history of pulmonary embolism under anticoagulant therapy. Esophagogastroduodenoscopy showed a C8M9 BE with no macroscopic lesions. Random biopsies from the BE revealed multifocal high-grade dysplasia. The case was discussed in a multidisciplinary team conference and the decision for full resection of BE with endoscopic submucosal dissection (ESD) was made. Considering the large ESD resection and the high risk of stricture, we developed a novel preventive technique: the "steroid lifting method" for submucosal injection during ESD. Complete circumferential ESD with en bloc resection was performed using the "steroid lifting method", without adverse events. Oral liquids were initiated on day 1 and the patient was discharged on day 4. Oral prednisolone (30 mg per day) was started and tapered for a total of 6 weeks. The pathological examination confirmed multifocal high-grade dysplasia, with radical and curative resection. The patient had neither stricture, dysphagia nor recurrence of Barrett's mucosa at the 2, 6, 12, and 24-month follow-up. International guidelines recommend oral prednisolone and triamcinolone injection to prevent stricture formation in large ESD of esophageal squamous cell carcinoma. However, there is no solid data on BE ESD. The risk factors for stricture formation and the optimal preventive management after large BE ESD is not known. The "steroid lifting method" might be an option in this context. Large prospective studies addressing stricture formation and preventive measures on BE ESD are necessary.

Dorsal roof flap rhinoplasty: Updated results and a new classification of nasal dorsal deformity.

BACKGROUND: The dorsal roof flap (DRF) technique was developed as a modification of the retractable roof method, which is a variant of dorsal preservation (DP). OBJECTIVE: The paper aims to present new results of the DRF technique and dorsal deformity analysis created for the technique. METHODS: A total of 57 primary rhinoplasty patients treated with DRF technique between 2022-2023 years were included in the study. A dorsal deformity classification based on the anticipated amount of dorsal reduction, nasal bone shape, and hump content was used. According to the classification, the noses were categorized into 3 types. All data were obtained from patient records, computed tomography views, and pre-and postoperative photographs. Aesthetic and functional results were assessed pre-and postoperatively using a visual analog scale (VAS) (0-10, 0 points means very poor). RESULTS: The mean follow-up period was 10.1 ± 3.9 months. 23 cases were type 1, 14 were type 2, and 20 were type 3. The anticipated amount of dorsal reduction in type 1 was 2-4 mm, 5-7 mm in type 2, and 8-10 mm in type 3 deformity. Of the total, 27 cases had a V-shaped nasal bone and 30 had an S-shaped. The hump composition was cartilaginous in 13 cases and bone and cartilage in 44 cases. Pre- and postoperative aesthetic and functional VAS scores were significantly different (p ≤ 0.001). No complications and therefore no revisions were observed during the follow-up period. CONCLUSION: It is a versatile method to reshape the nasal dorsum and minimize the revisions associated with dorsal preservation when used in appropriate cases.

Benefits of BV-AVD (Brentuximab vedotin, doxorubicin, vinblastine, and dacarbazine) versus ABVD (doxorubicin hydrochloride, bleomycin sulfate, vinblastine sulfate, dacarbazine) in patients with advanced-stage Hodgkin's lymphoma: an analysis of the ECHELON 1 trial by the GATLA group using the Delphi Method.

INTRODUCTION: The BV-AVD (Brentuximab vedotin, doxorubicin, vinblastine, and dacarbazine) combination for first-line treatment of advanced stage Hodgkin's lymphoma has been approved by regulatory authorities and included in international guidelines. However, several factors influence its incorporation as standard of care. MATERIALS AND METHODS: A group of experts from different institutions was identified and, using the Delphi method, an analysis of the results of the ECHELON 1 trial for the indication of BV-AVD over ABVD (doxorubicin hydrochloride, bleomycin sulfate, vinblastine sulfate, dacarbazine) in patients with Hodgkin's lymphoma Stages III and IV in Argentina was done. The clinical and academic experience of the authors and the context of the Argentine healthcare system were considered. RESULTS AND DISCUSSION: Seven statements on general aspects of the management of Hodgkin's lymphoma and nine on specific aspects related to the use of BV-AVD over ABVD reached a consensus of agreement. There was a strong expert consensus in favor of indicating BV-AVD in the presence of extranodal disease or pulmonary disease. Moderate to severe neuropathy, pregnancy and drug allergy were considered absolute contraindications to prescribe BV. CONCLUSIONS: The authors agreed that BV-AVD could be considered a new treatment option in high-risk patients. However health system-dependent factors (such as high cost, lack of availability, reimbursement difficulties, irregular delivery, and issues with granulocyte-colony stimulating factor availability) could pose limitations for this prescription. While awaiting new data from clinical trials and real-world studies, these recommendations can represent a useful tool for hematologists in different parts of the world.

Distinct cellular uptake patterns of two anticancer unsymmetrical bisacridines and their metabolic transformation in tumor cells.

Unsymmetrical bisacridines (UAs) represent a novel class of anticancer agents. Their high cytotoxicity towards multiple human cancer cell lines and inhibition of human tumor xenograft growth in nude mice signal their potential for cancer treatment. Therefore, the mechanism of their strong biological activity is broadly investigated. Here, we explore the efflux and metabolism of UAs, as both strongly contribute to the development of drug resistance in cancer cells. We tested two highly cytotoxic UAs, C-2028 and C-2045, as well as their glucuronic acid and glutathione conjugates in human cancer cell lines (HepG2 and LS174T). As a point of reference for cell-based systems, we examined the rate of UA metabolic conversion in cell-free systems. A multiple reaction monitoring (MRM)-mass spectrometry (MS) method was developed in the present study for analysis of UAs and their metabolic conversion in complex biological matrices. Individual analytes were identified by several features: their retention time, mass-to-charge ratio and unique fragmentation pattern. The rate of UA uptake and metabolic transformation was monitored for 24 h in cell extracts and cell culture medium. Both UAs were rapidly internalized by cells. However, C-2028 was gradually accumulated, while C-2045 was eventually released from cells during treatment. UAs demonstrated limited metabolic conversion in cells. The glucuronic acid conjugate was excreted, whereas the glutathione conjugate was deposited in cancer cells. Our results obtained from cell-free and cell-based systems, using a uniform MRM-MS method, will provide valuable insight into the mechanism of UA biological activity in diverse biological models.

Soil gas gradient method for estimating natural source zone depletion rates of LNAPL and specific chemicals of concern.

This paper presents a simplified approach for the soil gas gradient method for estimating natural source zone depletion (NSZD) rates of specific contaminants of concern (COCs) at sites contaminated by light non-aqueous phase liquids (LNAPL). Traditional approaches to quantify COC-specific NSZD rates often rely on numerical or analytical reaction-transport models that require detailed site-specific data. In contrast, the proposed method employs simple analytical solutions, making it more accessible to practitioners. Specifically, it requires only the maximum soil gas concentration, the effective diffusion coefficient, and the diffusive reaction length calculated from vertical soil gas concentration profiles. The simplified approach was validated against a reactive transport numerical model reported in the literature, showing consistent results within the same order of magnitude for BTEX NSZD rates at a gasoline spill site in South Carolina. Further validation using a larger dataset involved comparing NSZD rate estimates for benzene and total petroleum hydrocarbons (TPH) against those obtained using BioVapor, utilizing empirical soil gas data from the USEPA Petroleum Vapor Intrusion Database. Results demonstrated a strong correlation between NSZD rates and maximum soil gas concentrations, allowing the development of a rapid screening approach based only on the measured soil gas concentrations and literature values for diffusion coefficients and diffusive reaction lengths. This approach aligned well with previous modeling studies and was consistent with literature values for TPH NSZD rates. Overall, both the simplified and screening approaches offer practical, easy-to-use tools for evaluating temporal variability in natural attenuation rates, supporting baseline assessments and ongoing performance evaluations of remediation at LNAPL sites.

An explore method for quick screening biomarkers based on effective enrichment capacity and data mining.

Protein glycosylation acts as a crucial role in regulating protein function and maintaining cellular homeostasis. Efficient peptide enrichment can be utilized to effectively solve the inherent challenges of protein glycosylation analysis to search unknown cancer biomarkers. In this research, a low dimensional porous hydrophilic nanosheets with a multi-level porous structure (Co-MOF-SiO2@HA) was synthetized via an easy one-pot method for the efficient enrichment of the N-glycopeptides in the digests of complex biosamples. The synthetized nanosheets Co-MOF-SiO2@HA demonstrated excellent enriching performances including a high enrichment capacity (300 mg g-1 calculated), a spectacular selectivity (IgG digests and BSA digests at the molar ratio of 1/1200), and an excellent spatial confinement ability (IgG digests, IgG and BSA at the molar ratio of 1/1000/1000). As an explore result, after the enrichment of human colorectal cancer tissue and human healthy tissue by the nanosheets, several proteins related to cancers and one protein directly related to well-known human colorectal cancer were identified by detecting the corresponding glycopeptides. It presented the potential value of the feasibility of this analysis mode by nanosheets Co-MOF-SiO2@HA in proteomic analysis.

A critical review of persimmon-derived pectin: Innovations in extraction, structural characterization, biological potentials, and health-promoting effects.

Persimmon-derived pectin (PP) is a versatile dietary polysaccharide with considerable industrial and biological significance, demonstrating a range of functionalities and health-promoting benefits. This review explores the changes in PP during postharvest and processing, detailing structural alterations and extraction techniques for optimal characteristics. Key functional attributes of PP-such as emulsification, rheology, antioxidant capacity, immunomodulation, and gut microbiota regulation-highlight its potential applications in food, healthcare, pharmaceuticals, and cosmetics. The review also explores methods to enhance the functional properties of PP through synergistic interactions with polyphenols. A strategic roadmap for advancing PP research is proposed, connecting extraction methods, structural characteristics, and functional properties to tailor PP for specific applications in food science and technology. Overall, persimmon-derived pectin is positioned as a valuable food-derived bioactive ingredient with diverse capabilities, poised to drive innovation and advance nutritional science across multiple sectors.

Widely-targeted in silico and in vitro evaluation of veratrum alkaloid analogs as FAK inhibitors and dual targeting of FAK and Hh/SMO pathways for cancer therapy: A critical analysis.

Focal Adhesive Kinase (FAK), a key player in aggressive cancers, mediates signals crucial for progression, invasion, and metastasis. Despite advances in targeted therapies, drug resistance is still a challenge, and survival rates remain low, particularly for late-stage patients, emphasizing the need for innovative cancer therapeutics. Cyclopamine, a veratrum alkaloid, has shown promising anti-tumor properties, but the search for more potent analogs with enhanced affinity for the biological target continues. This study employs a hybrid virtual screening approach combining pharmacophore model-based virtual screening (PB-VS) and docking-based virtual screening (DB-VS) to identify potential inhibitors of the FAK catalytic domain. PB-VS on the PubChem database yielded a set of hits, which were then docked with the FAK catalytic domain in two stages (1st and 2nd DB-VS). Hits were ranked based on docking scores and interactions with the active site. The top three compounds underwent molecular dynamics simulations, alongside two control compounds (SMO inhibitor(s) and FAK inhibitor(s)), to assess stability through RMSD, RMSF, Rg, and SASA analyses. ADMET properties were evaluated, and compounds were filtered based on drug-likeness criteria. Molecular dynamics simulations demonstrated the stability of compounds when complexed with the FAK catalytic domain. Compounds 16 (-25 kcal/mol), 88 (-27.47 kcal/mol), and 87 (-18.94 kcal/mol) exhibited comparable docking scores, interaction profiles, stability, and binding energies, indicating their potential as lead candidates. However, further validation and optimization through quantitative structure-activity relationship (QSAR) studies are essential to refine their efficacy and therapeutic potential. The in vitro cell-based assay demonstrated that compound 101PF, a FAK inhibitor, significantly inhibited the proliferation and migration of A549 cells. However, the results regarding the combined effects of FAK and SMO inhibitors were inconclusive, highlighting the need for further investigation. This study contributes to developing more effective anti-cancer drugs by improving the understanding of potential cyclopamine-based veratrum alkaloid analogs with enhanced interactions with the FAK catalytic domain.

Development and application of a quantitative real-time PCR method for detection of Decapod iridescent virus 1.

As a newly discovered virus, Decapoda iridovirus 1 (DIV1) can cause a mortality rate of up to 100% in crustaceans, leading to huge economic losses. At present, there is no effective prevention and control measures for this disease. In the present study, the specific primers targeting highly conserved regions of MCP gene were designed, and then a quantitative real-time PCR method was established. The results indicate that DIV1 quantitative real-time PCR established has good specificity and does not cross react with other pathogens including white spot syndrome virus (WSSV), infectious subcutaneous and hematopoietic necrosis virus (IHHNV) and Vibrio parahaemolyticus induced acute hepatopancreatic necrosis disease (VpAHPND). The real-time PCR was capable of detecting DIV1 DNA at a minimum concentration of 10 copies/µL within 34 cycles. The method has good repeatability, with intra group and inter group coefficients of variation both less than 2%. Thirty-two clinical samples were assessed using both the real-time PCR and conventional PCR. The results shown real-time PCR we established are more sensitive than conventional PCR. In conclusion, this method has strong specificity, stable repeatability, and high sensitivity, providing technical support for clinical diagnosis, epidemiology investigation and monitoring of DIV1.

Reproducibility of spatial penalty-based methodologies for intravoxel incoherent motion analysis with diffusion MRI.

Objective was to assess the precision and reproducibility of spatial penalty-based intravoxel incoherent motion (IVIM) methods in comparison to the conventional bi-exponential (BE) model-based IVIM methods. IVIM-MRI (11 b-values; 0-800 s/mm2) of forty patients (N = 40; Age = 17.7 ± 5.9 years; Male:Female = 30:10) with biopsy-proven osteosarcoma were acquired on a 1.5 Tesla scanner at 3 time-points: (i) baseline, (ii) after 1-cycle and (iii) after 3-cycles of neoadjuvant chemotherapy. Diffusion coefficient (D), Perfusion coefficient (D*) and Perfusion fraction (f) were estimated at three time-points in whole tumor and healthy muscle tissue using five methodologies (1) BE with three-parameter-fitting (BE), (2) Segmented-BE with two-parameter-fitting (BESeg-2), (3) Segmented-BE with one-parameter-fitting (BESeg-1), (4) BE with adaptive Total-Variation-penalty (BE + TV) and (5) BE with adaptive Huber-penalty (BE + HPF). Within-subject coefficient-of-variation (wCV) and between-subject coefficient-of-variation (bCV) of IVIM parameters were measured in healthy and tumor tissue. For precision and reproducibility, intra-scan comparison of wCV and bCV among five IVIM methods were performed using Friedman test followed by Wilcoxon-signed-ranks (WSR) post-hoc test. Experimental results demonstrated that BE + TV and BE + HPF showed significantly (p < 10-3) lower wCV and bCV for D (wCV: 24-32%; bCV: 22-31%) than BE method (wCV: 38-49%; bCV: 36-46%) across three time-points in healthy muscle and tumor. BE + TV and BE + HPF also demonstrated significantly (p < 10-3) lower wCV and bCV for estimating D* (wCV: 89-108%; bCV: 83-102%) and f (wCV: 55-60%; bCV: 56-60%) than BE, BESeg-2 and BESeg-1 methods (D*-wCV: 102-122%; D*-bCV: 98-114% and f-wCV: 96-130%; f-bCV: 94-125%) in both tumor and healthy tissue across three time-points. Spatial penalty based IVIM analysis methods BE + TV and BE + HPF demonstrated lower variability and improved precision and reproducibility in the current clinical settings.

Biomechanical effects of mandibular deviation on the temporomandibular joint in patients with mandibular prognathism under incisal occlusion.

PURPOSE: The aim of this study was to investigate the biomechanical effects of mandibular deviation on the TMJ in patients with mandibular prognathism before and after orthognathic surgery using three-dimensional finite element analysis. METHODS: Eight patients with mandibular prognathism without deviation, eight patients with mandibular prognathism with deviation and sixteen normal subjects were recruited. Three-dimensional models of the maxillofacial were reconstructed using MIMICS. Nine muscle forces were used to simulate incisal occlusion and contact was used to simulate fossa-disc-condyle interactions. RESULTS: Before surgery, the stress in the TMJ was generally greater in the Pre-MD&MP group than in the Pre-MD group; it was much greater in both groups than in the control group, ranging from about 2 to 12 times as great in the Pre-MD group and from about 5 to 64 times as great in the Pre-MD&MP group. After orthognathic surgeries, the stresses in the Post-MP&MD were significantly reduced by approximately 21.7 % to 93.4 %. And in the Post-MP group, the stresses were reduced by approximately 1.4 % to 51.1 %. CONCLUSION: Mandibular deviation exacerbated the abnormal stress distribution in the TMJ of patients with mandibular prognathism. Orthognathic surgeries could improve the stress distribution in patients with mandibular prognathism (with and without deviation). TMD was closely related to the stress levels of the TMJ.

Establishing a multi-method approach for unprecedented detection and quantification of 13 genotoxic impurities (GTIs) in Apixaban drug substance through ultra-performance liquid chromatography (UPLC).

This groundbreaking study introduces a pioneering development of multi-method approach for the first-ever detection and quantification of 13 genotoxic impurities (GTIs) in Apixaban (Apx) drug substance using ultra-performance liquid chromatography (UPLC) with ultraviolet (UV) detector. In this novel endeavor, two distinct UPLC-UV methods, Method A (for impurities A to G) and Method B (for impurities H to M), were meticulously developed and validated as per International Council for Harmonization (ICH) guidelines to address the challenge of identification and control of 13 GTIs in Apx drug substance. The validation process included rigorous assessment of linearity, accuracy, specificity, precision, limit of quantification (LOQ), and limit of detection (LOD) for each impurity in each method which marks a significant advancement in pharmaceutical analysis. The developed methods address the regulatory requirements set forth by ICH M7(R2) guidelines by providing a reliable approach for quantifying GTIs in Apx drug substance at trace levels to minimize the potential carcinogenic risk to the patients.

Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study.

BACKGROUND: The need for increased clinical efficacy and efficiency has been the main force in developing artificial intelligence (AI) tools in medical imaging. The INCISIVE project is a European Union-funded initiative aiming to revolutionize cancer imaging methods using AI technology. It seeks to address limitations in imaging techniques by developing an AI-based toolbox that improves accuracy, specificity, sensitivity, interpretability, and cost-effectiveness. OBJECTIVE: To ensure the successful implementation of the INCISIVE AI service, a study was conducted to understand the needs, challenges, and expectations of health care professionals (HCPs) regarding the proposed toolbox and any potential implementation barriers. METHODS: A mixed methods study consisting of 2 phases was conducted. Phase 1 involved user experience (UX) design workshops with users of the INCISIVE AI toolbox. Phase 2 involved a Delphi study conducted through a series of sequential questionnaires. To recruit, a purposive sampling strategy based on the project's consortium network was used. In total, 16 HCPs from Serbia, Italy, Greece, Cyprus, Spain, and the United Kingdom participated in the UX design workshops and 12 completed the Delphi study. Descriptive statistics were performed using SPSS (IBM Corp), enabling the calculation of mean rank scores of the Delphi study's lists. The qualitative data collected via the UX design workshops was analyzed using NVivo (version 12; Lumivero) software. RESULTS: The workshops facilitated brainstorming and identification of the INCISIVE AI toolbox's desired features and implementation barriers. Subsequently, the Delphi study was instrumental in ranking these features, showing a strong consensus among HCPs (W=0.741, P<.001). Additionally, this study also identified implementation barriers, revealing a strong consensus among HCPs (W=0.705, P<.001). Key findings indicated that the INCISIVE AI toolbox could assist in areas such as misdiagnosis, overdiagnosis, delays in diagnosis, detection of minor lesions, decision-making in disagreement, treatment allocation, disease prognosis, prediction, treatment response prediction, and care integration throughout the patient journey. Limited resources, lack of organizational and managerial support, and data entry variability were some of the identified barriers. HCPs also had an explicit interest in AI explainability, desiring feature relevance explanations or a combination of feature relevance and visual explanations within the toolbox. CONCLUSIONS: The results provide a thorough examination of the INCISIVE AI toolbox's design elements as required by the end users and potential barriers to its implementation, thus guiding the design and implementation of the INCISIVE technology. The outcome offers information about the degree of AI explainability required of the INCISIVE AI toolbox across the three services: (1) initial diagnosis; (2) disease staging, differentiation, and characterization; and (3) treatment and follow-up indicated for the toolbox. By considering the perspective of end users, INCISIVE aims to develop a solution that effectively meets their needs and drives adoption.

Research on magnetic nonchain transport of steel cartridge casing ammunition.

Magnetic force is used to drive ferromagnetic objects by shortening the magnetic flux path to reduce magnetic reluctance and increase magnetic conductivity. Based on this characteristic, magnetic force drives have been widely applied in various fields, such as military, transportation, and engineering, attracting significant attention. This paper proposes a method for the nonchain transport of steel shell ammunition based on magnetic force. The force generated by the minimal magnetic resistance in the air gap is utilized to drive the steel shell ammunition. A calculation model for the driving component is proposed using the Maxwell stress tensor method, and the accuracy of the model is verified by simulating ammunition motion curves using finite element software. Finally, prototype experiments are conducted to explore the motion conditions under uncertain ammunition masses. The magnetic nonchain ammunition transport mechanism features a simpler structure and lower maintenance costs, making it more suitable for use on unmanned platforms.

High-Performance Liquid Chromatography-Tandem Mass Spectrometry Method Development and Validation for Simultaneous Determination of Seven Nitrosamine and Azidomethyl-Biphenyl-Tetrazole Impurities in Losartan.

Nitrosamine-related impurities (N-nitrosomethylamino butyric acid [NMBA], N-nitrosodiethylamine [NDEA], N-nitrosodiisopropylamine [NDIPA], N-nitrosomethylphenylamine [NMPA], N-nitrosodibutylamine [NDBA], N-nitrosodimethylamine [NDMA], and N-nitrosoethylisopropylamine [NEIPA]) and 5-[4'-(azidomethyl)-[1,1'-biphenyl]-2-yl]-2H-tetrazole (AZBT) formed during the manufacture of sartan medicines have been classified into human mutagens and carcinogens after long-term treatment. The study developed a simple, economical but highly sensitive procedure for the simultaneous quantification of seven nitrosamines and AZBT impurities in sartan pharmaceuticals. After extraction with methanol (MeOH) 50%, the compounds were analyzed with a reversed-phase liquid chromatography-tandem mass spectroscopy with atmospheric-pressure chemical ionization (APCI) mode (APCI[+] for nitrosamines and APCI[-] for AZBT), selected reaction monitoring, C18 column, gradient elution with 0.1% formic acid in water and in MeOH, respectively. The validated procedure obtained high extraction efficiency (>90%), wide linear range (0.2-50.0 ng/mL NMBA, NDEA, NDIPA, NMPA, and NDBA; 0.5-50.0 ng/mL NDMA and NEIPA; 2.0-100 ng/mL AZBT), limit of quantification < 10% of the acceptance level, recovery range of 85%-115% with relative standard deviation < 15% and minimum matrix effects for all impurities. The procedure was applied to test 16 commercial losartan samples. As a result, eight samples contained AZBT within the current regulatory limits, but no nitrosamine impurities were detected in all samples.

Transesterification of waste cooking oil for biodiesel production using alkaline-modified graphitic carbon nitride heterogeneous catalyst.

Developing efficient, stable, cost-effective, and environmentally benign heterogeneous catalysts for transesterification is highly required for sustainable biodiesel production. The present study explores the biodiesel production from waste cooking oil (WCO) using graphitic carbon nitride (g-C3N4) and its alkaline-modified nanocatalyst. The catalysts were characterised by X-ray diffraction (XRD), Scanning electron microscopy (SEM), Energy Dispersive X-ray spectroscopy (EDS), and Fourier transform infrared spectroscopy (FTIR). From the XRD analysis, crystalline sizes of g-C3N4 and alkaline g-C3N4 were found to be 26 and 29 nm, respectively. Transesterification of WCO was carried out at 60 °C for a reaction time of 2 h using 2 wt.% of g-C3N4 and alkaline g-C3N4. Transesterification reaction catalysed by alkaline-modified g-C3N4 was found with a higher yield of biodiesel (89%) than the biodiesel yield (78%) with transesterification reaction catalysed by g-C3N4. The recyclability of both catalysts was also evaluated by reusing them for up to the 5th cycle. The obtained biodiesel was analyzed by using FTIR and GC-MS. The synthesised biodiesel was found to have significant level of monounsaturated fatty acids and saturated fatty acids, which make it usefuel for use as fuel. Some physicochemical properties of the obtained biodiesel were also calculated and found appropriate as per the American Society for Testing and Materials (ASTM) standards. With high reusability and good catalytic activity, the synthesised alkaline-modified g-C3N4 can be employed as a viable option for biodiesel production from WCO.

Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model.

It is becoming increasingly common for researchers to consider leveraging information from external sources to enhance the analysis of small-scale studies. While much attention has focused on univariate survival data, correlated survival data are prevalent in epidemiological investigations. In this article, we propose a unified framework to improve the estimation of the marginal accelerated failure time model with correlated survival data by integrating additional information given in the form of covariate effects evaluated in a reduced accelerated failure time model. Such auxiliary information can be summarized by using valid estimating equations and hence can then be combined with the internal linear rank-estimating equations via the generalized method of moments. We investigate the asymptotic properties of the proposed estimator and show that it is more efficient than the conventional estimator using internal data only. When population heterogeneity exists, we revise the proposed estimation procedure and present a shrinkage estimator to protect against bias and loss of efficiency. Moreover, the proposed estimation procedure can be further refined to accommodate the non-negligible uncertainty in the auxiliary information, leading to more trustable inference conclusions. Simulation results demonstrate the finite sample performance of the proposed methods, and empirical application on the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial substantiates its practical relevance.