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The development of innovative methods for synthesizing silylcyclopentene compounds is particularly important for enriching and improving the synthetical toolbox of organosilicon compounds. Herein, a facile approach has been developed for the synthesis of silylcyclopentenes promoted by mechanochemically generated organolithium species as silicon nucleophiles under ball milling conditions, avoiding the requirement of large amounts of bulk solvent. This operationally simple method demonstrates good functional group compatibility, which provides a great opportunity for further exploration of the synthetic applications of silylcyclopentenes. Density functional theory calculations indicated that the transient lithiosilole intermediates undergo a stepwise nucleophilic addition process, which governs this mechanic‐force‐promoted [4+1] cycloaddition reaction. [ABSTRACT FROM AUTHOR]

This article discusses a study that aimed to identify specific plasma-derived exosomal microRNA (exo-miRNA) signatures associated with postmenopausal osteoporosis (PMOP) and evaluate their potential as biomarkers for early PMOP detection. The study included 272 postmenopausal women volunteers and used small RNA sequencing to analyze exo-miRNA profiles. The results revealed differentially expressed exo-miRNAs that were associated with PMOP and early-stage PMOP (osteopenia), suggesting their potential as biomarkers for detecting these conditions. The study also identified three exo-miRNAs (hsa-let-7d-3p, hsa-miR-24-3p, and hsa-miR-550a-3-5p) as potential biomarkers for PMOP detection and demonstrated their discriminative power in distinguishing PMOP and early-stage PMOP from healthy controls. The findings suggest that plasma-derived exo-miRNA profiling could be a minimally invasive and effective strategy for early PMOP detection. [Extracted from the article]

Background: Fibrodysplasia ossificans progressiva (FOP) is a rare genetic disease caused by a gain-of-function mutation in ACVR1, which is a bone morphogenetic protein (BMP) type I receptor. Moreover, it causes progressive heterotopic ossification (HO) in connective tissues. Using FOP patient-derived induced pluripotent stem cells (FOP-iPSCs) and mouse models, we elucidated the underlying mechanisms of FOP pathogenesis and identified a candidate drug for FOP. Methods: In the current study, healthy mesenchymal stem/stromal cells derived from iPSCs (iMSCs) expressing ACVR2B-Fc (iMSCACVR2B-Fc), which is a neutralizing receptobody, were constructed. Furthermore, patient-derived iMSCs and FOP mouse model (ACVR1R206H, female) were used to confirm the inhibitory function of ACVR2B-Fc fusion protein secreted by iMSCACVR2B-Fc on BMP signaling pathways and HO development, respectively. Results: We found that secreted ACVR2B-Fc attenuated BMP signaling initiated by Activin-A and BMP-9 in both iMSCs and FOP-iMSCs in vitro. Transplantation of ACVR2B-Fc-expressing iMSCs reduced primary HO in a transgenic mouse model of FOP. Notably, a local injection of ACVR2B-Fc-expressing iMSCs and not an intraperitoneal injection improved the treadmill performance, suggesting compound effects of ACVR2B-Fc and iMSCs. Conclusions: These results offer a new perspective for treating FOP through stem cell therapy. [ABSTRACT FROM AUTHOR]

This study reports on the results of a semester-long Chinese-American telecollaborative exchange via WeChat, in which students from China and the U.S. shared thematically similar songs in their respective languages and discussed relevant cultural topics that were suggested by the students. Various types of qualitative data collected from the exchange (i.e. WeChat group discussion transcripts, videoconferencing audio recordings, final reflection journals, and end-of-semester interviews) showed that the students participated actively in the program and were able to engage in in-depth conversations on various topics with their partners through WeChat group discussion and one-on-one videoconferencing. Many students attributed their positive experience to the intrinsic ability of music to engage college students. In order to evaluate the students' intercultural learning, Byram's intercultural competence assessment model was adopted to guide the data analysis. Results showed that the students demonstrated evidence of developing four types of intercultural competences during the exchange: interest in knowing other people's way of life and introducing one's own culture to others, knowledge about one's own and others' culture for intercultural communication, ability to change perspective, and knowledge about the intercultural communication process, with particularly overwhelming evidence indicating the prominence of the first two types. [ABSTRACT FROM AUTHOR]

This research examines the impact of different solvents on the chemical composition of oil extracted from Triadica sebifera (a.k.a. Sapium sebiferum) seed, a plant common in China and America. Eight solvents were used, including n-hexane, petroleum ether, diethyl ether, ethyl acetate, ethanol, "Folch" solution (chloroform/methanol, v: v = 2: 1), isopropanol, and acetone. Petroleum ether provided the highest oil yield at 34.3%, while n-hexane extracted oil with the highest unsaturated fatty acids at 89.47%. Ethanol-extracted oil contained the most bioactive substances, including tocopherols (642.7 mg/kg), sterols (1043.7 mg/kg), and polyphenols (55.4 mg/kg), also exhibiting strong antioxidant capacity. Regression analysis showed positive correlations between antioxidant capacity and bioactive compounds like polyphenols and certain sterols, while saturated fatty acids correlated negatively. Principal component analysis highlighted ethanol as a promising solvent. The findings suggest that Triadica sebifera seed oil, particularly when extracted using ethanol, offers valuable applications for integrating natural ingredients with health benefits into various products. • Petroleum ether yielded 34.3% oil, the highest among solvents. • N-hexane oil had 89.47% unsaturated fatty acids, the highest. • Ethanol-extracted oil had the most tocopherols (642.7 mg/kg). • Ethanol oil showed high levels of sterols and polyphenols. • Antioxidant capacity linked to polyphenols and sterols. [ABSTRACT FROM AUTHOR]

Soybean oil (SO), recognized for its nutrients and affordability, often oxidizes, leading to nutrient degradation. This study presents a methodology for tailor oil blends to meet specific requirements, using SO blended with corn oil (CO), sunflower oil (SFO), and flaxseed oil (FSO). We analyzed the physicochemical properties, nutrient composition, and antioxidant capacity of various blends. Pearson's correlation analysis was utilized to examine the interrelation between nutrient composition and antioxidant capacity. The principal component analysis identified suitable blend ratios based on the desired nutrient composition and antioxidant capacity. Blend F3 (60% SO, 15% CO, 16% SFO, 9% FSO) demonstrated superior qualities, including a higher α-tocopherol content (138.8 mg/kg), and enhanced antioxidant capacities (DPPH polar: 12 μmol TE/100g, ABTS: 67.3 μmol TE/100g, FRAP: 112 μmol TE/100g), alongside a lower acid value (0.15 mg/g) compared to other blends. We highlight the roles of squalene, γ-tocopherol, δ-tocopherol, and fatty acid composition in enhancing the antioxidant capacity of oil blends. Specifically, the blend labeled F3 emerged as a nutritionally superior and highly antioxidative option among soybean oil blends. This study provides a framework for tailoring oil blends to meet specific nutritional and antioxidative requirements, providing a more flexible and purpose-driven approach to oil blending. • Innovative oil blending boosts nutritional quality. • Enhanced antioxidant capacity through natural methods. • The synergy of α-tocopherol, squalene, and fatty acids in blends boosts health benefits and stability. [ABSTRACT FROM AUTHOR]

[Display omitted] • Boundaryand elastohydrodynamic lubrication models with additives under sinusoidal load were studied by NEMD. • The additive's solidification degree reflects the interlacing strength, thus relative motion less occurs in the BL regime. • The liquefaction degree and the velocity difference of base oil and additive regions, affect friction in the EHL regime. The evolution of lubricating oil containing additives under dynamic conditions is very significant, since its oil film structure, velocity distribution, and adsorption characteristic have an obvious impact on friction and wear. In this work, a boundary lubrication (BL) and elastohydrodynamic lubrication (EHL) models under sinusoidal load were carried out by nonequilibrium molecular dynamics (NEMD), using iron oxide as the substrate, hexadecane, and stearic acid molecules as lubricants. It was discovered that the friction in the BL regime is positively correlated with the degree of additive's solidification. The greater the solidification degree of additive layers, the less the interlacing between them, making the relative motion between them easier and reducing compression oscillation within them, thus diminishing friction in the BL regime. The degree of liquefaction of base oil and additive regions, as well as the velocity difference within their interlacing zones, are connected to the friction force in the EHL regime. At high frequencies as well as large amplitudes, the oil film has a very high degree of liquefaction, which facilitates internal shear in it, and there is essentially no relative motion between the base oil and additives, resulting in low friction. [ABSTRACT FROM AUTHOR]

[Display omitted] • A review of porphyrin-based metal–organic frameworks (PP-MOFs) for environmental pollutants detection. • The main sensing mechanisms and designation principles of PP-MOFs are introduced in detail. • Strengths and weaknesses of PP-MOFs for contaminants sensing are discussed. • Challenges and perspectives of PP-MOFs for advancing practical detection are presented. Utilizing porphyrin molecules as the building blocks (ligands) of metal–organic frameworks (MOFs) leads to porphyrinic MOFs (including incorporation of functional materials into porphyrinic MOFs), whereas the immobilization of porphyrin molecules into porous MOFs afford porphyrin@MOFs. These two kinds, collectively regarded as porphyrin-based MOFs (PP-MOFs), are known to feature distinct photophysical and electrochemical properties lending towards several applications. This is because PP-MOFs can overcome the instability and self-quenching issues oft-encountered in porphyrins. Thanks to the ordered immobilization of porphyrins and electron-hopping mobility, this relatively new class of MOFs has received a surge of attention in sensing environmental pollutants. This review will explore the strengths and weaknesses of PP-MOFs in this context, as well as the influence of various sensory mechanisms associated with them. Libraries of porphyrinic MOFs and porphyrin@MOFs are reviewed herein, a number of them featuring the optimal selectivity and sensitivity for device fabrication. Finally, the challenges and prospects of PP-MOFs for environmental monitoring are critically interrogated. [ABSTRACT FROM AUTHOR]

• We investigated how roasting temperature and duration affects FCSO properties. • The E-nose, GC–IMS and HS–SPME/GC–MS were used to identify the flavor substances in FCSO. • The key flavor substances were nonanoic acid (grassy flavor) and 2-methylbutyric acid (off-flavor). • The FCSO prepared by heating at 120℃ for 20 min showed excellent quality and favorable sensory properties. Fragrant Camellia oleifera Abel. seed oil (FCSO), produced by a roasting process, is popular for its characteristic aroma. This study investigated the effects of various roasting temperatures (90℃, 120℃, 150℃, 180℃) and durations (20 min, 40 min, 60 min) on the flavor of FCSO by physicochemical properties, hazardous substances, sensory evaluation, and flavor analyses. The results showed that FCSO roasted at 120℃/20 min had a reasonable fatty acid composition with a lower acid value (0.16 mg/g), peroxide value (0.13 g/100 g), p-anisidine value (2.27), dibutyl phthalate content (0.04 mg/kg), and higher 1,1-diphenyl-2-picrylhydrazyl free radical scavenging activity (224.51 μmol TE/kg) than other samples. A multivariate analysis of FCSO flavor revealed that the 120℃/20 min group had a higher grassy flavor score (5.3 score) from nonanoic acid and a lower off-flavor score (2.2 score) from 2-methylbutyric acid. The principal component analysis showed that 120℃/20 min could guarantee the best flavor and quality of FCSO. Therefore, this information can guide the preparation of FCSO. [ABSTRACT FROM AUTHOR]

RGBT tracking is a challenging task that requires robust fusion of visible images (RGB) and thermal infrared images (TIR) to handle various scenarios, such as illumination changes, occlusions, and camouflage. The current popular RGBT trackers mostly based on two stream Siamese trackers. They tend to separately extracts template and search images region features, which neglects relationship between target and background. Moreover, they do not fuse RGB and TIR features properly, limiting their ability to utilize complementary features. To address these issues, we introduce a highly compact adaptive transformer-based network that unifies the process of feature extracting and correlation between template and search images. In this way, the compact network has dual-branches. They can combine feature extraction and correlation for different modalities of template images and search images. Meanwhile, we introduce a cross-modal weight redistribution module (CMWR) for multi-modal fusion. This adaptive fusion scheme learns discriminative features of RGB and TIR data and assigns weights to them, enabling them to complement each other. Furthermore, to address the issue of tracking targets of different scales, we design scale-adaptive optimization pyramid module (SAOP) that adapt to objects of different sizes. Our method achieves exceptional performance on the GTOT, RGBT234 and LasHeR datasets, surpassing most of the existing methods. The results are consistent across multiple datasets, demonstrating the effectiveness and superiority of our approach. And our code is released at: https://github.com/ELOESZHANG/HCANet. • We propose highly compact adaptive network that employs the vision transformer for RGBT tracking. • We design a cross-modal weight redistribution module (CMWR) that achieves multimodal fusion with an adaptive optimization strategy. • We introduce scale-adaptive optimization pyramid module (SAOP) to handle target scale variations by using feature maps of different sizes. [ABSTRACT FROM AUTHOR]

• We propose a cooperative optimized strategy for achieving high energy storage performance by introducing linear dielectric CBST into BNT ceramic. • Doping CBST enhances the relaxor behavior of BNT ceramic, which collectively improves breakdown strength and delays premature saturation polarization. • A high recoverable energy density of 3.83 J/cm3 and an energy efficiency of 77.9 % are successfully obtained in the BNT-0.12CBST ceramic. • The phase diagram of this new solid solution has been established. Our study shows great potential for practical applications in pulse power systems. For energy storage applications in Bi 0.5 Na 0.5 TiO 3 (BNT)-based materials, the key challenges are the premature polarization saturation and low breakdown electric field (E b), which confine the energy storage capacity of BNT and significantly restrict progress in advancing pulsed power capacitors. Hence, the cooperative optimization strategy of band structure and defect engineering was proposed, which successfully obtained a high recoverable energy density of 3.83 J/cm3 and an energy efficiency of 77.9 % in the Bi 0.5 Na 0.5 TiO 3 -0.12Ca 0.85 Bi 0.1 (Sn 0.5 Ti 0.5)O 3 (BNT-0.12CBST) ceramics. Doping the BNT matrix with CBST has been shown to not only reduce grain size but also enhance relaxor behavior, which collectively improves breakdown strength and delays polarization saturation. Furthermore, the x = 0.12 ceramic also exhibits a commendable discharge power density of 91.9 MW/cm3 and a transient discharge time of 40 ns. The higher resistivity and lower oxygen vacancy concentration are conductive to acquire superior breakdown electric field and energy storage performance. We determine the crystal structure, dielectric and ferroelectric properties of the studied ceramics in a wide range of temperatures and concentrations, and a phase diagram is constructed, which illustrates the complex phases present and their transformation behavior. Our work provides an effective strategy to optimize the energy-storage of dielectric ceramics, and shows great potential for practical applications in pulse power systems. [ABSTRACT FROM AUTHOR]

The ability of the minimum cost consensus model (MCCM) to promote consensus reaching in the domain of group decision-making (GDM) has been extensively studied. Recently, the MCCM has been enhanced by introducing the consensus principle and tolerance level to achieve a soft consensus. However, the potential impact of asymmetric and uncertain unit adjustment costs on the effectiveness of the consensus reaching process (CRP) has been overlooked. This paper aims to investigate the implications of uncertain asymmetric costs for achieving consensus with a certain level of tolerance, where new robust MCCMs with uncertain asymmetric costs are constructed under four uncertainty sets for the unit adjustment costs. Considering the linear uncertain-constrained tolerance level and consensus level, we incorporate the insight of an expert with a cost-free threshold into models. Additionally, through a pollutant emission application, the proposed robust MCCMs are able to effectively handle uncertainties arising from costs and improve the quality of the CRP compared to the traditional models. Finally, we conduct simulation experiments and sensitivity analysis to illustrate the effectiveness of the proposed models on achieving a consensus by identifying appropriate parameters. • Minimum cost consensus models (MCCMs) consider uncertainty and asymmetric costs. • Tolerance level and consensus level are considered in MCCMs. • Linear uncertainty distribution is used to depict the tolerance level. • Cost-free thresholds for experts are incorporated into the robust models. • Tractable models obtained through linearization and duality. [ABSTRACT FROM AUTHOR]

Natural resources, such as light and CO 2 , are required to increase crop yields in protected agriculture. Developing efficient regulation methods to reduce costs and increase yields has become a major challenge for actual production. This work proposed a framework for meeting this challenge and supporting the management of environmental regulation. Photosynthesis rate was used as the yield index, and a photosynthesis rate model was constructed using support vector regression. Moreover, a regulation cost function for light and CO 2 was constructed. Then, the non-inferior solutions (NIS) for environmental regulation were determined by an improved non-dominated sorting genetic algorithm Ⅱ (i-nsGA Ⅱ). The curvature theory was applied to calculate the optimal solution in the NIS set. A set of seedling tomato data was used to demonstrate the usefulness of the proposed method. Compared with the other two regulation methods (saturation regulation method and U-chord method), the results indicated that the proposed method had the best performance. About 80% of the maximum photosynthesis rate could be obtained at a regulation cost of about 51%. This research presents a new strategy for optimizing the greenhouse environment, which can be applied as a knowledge-informed expert system to manage environmental regulation. [ABSTRACT FROM AUTHOR]

• Adsorption behaviors of H 2 O/CO 2 on the reduced CaFe 2 O 4 were studied by DFT. • H 2 O is cleaved to H 2 and adsorbed O* in a two-step reaction. • Formation of HO* and H* is the rate-determining step of H 2 O splitting. • CO 2 splitting is a one-step reaction and CO desorption is a rate-determining step. • H 2 O and CO 2 are electron acceptors, and Fe atoms are electron donors. In the process of biomass chemical looping gasification using calcium ferrite as an oxygen carrier, H 2 O or CO 2 can be injected into the oxidation reactor to produce H 2 or CO with high purity while oxidizing the reduced oxygen carrier, which is a new technology that has attracted wide attention in recent years. However, the splitting reaction mechanism of H 2 O or CO 2 is still unclear. Therefore, based on density functional theory (DFT) calculations, the adsorption behavior of H 2 O and CO 2 , the electronic structure, and the splitting reaction path of H 2 O and CO 2 on the surface of the reduced CaFe 2 O 4 were systematically studied to deeply understand the reaction mechanism. The results show that H 2 O and CO 2 form stable complexes on the CaO(1 1 1)/Fe(1 1 0) surface by chemisorption. H 2 O is splitted to H 2 and adsorbed O* through a two-step reaction. In this process, the step of H 2 O cracking to HO* and H* is the rate-determining step. CO 2 is splitted into CO* and O* through a one-step reaction, in which the desorption of CO from the surface is a rate-determining step. The total charges of H 2 O and CO 2 after adsorption are –0.313 |e| and –1.086 |e|, respectively, and the total charges of Fe atoms on the surface are 0.444 |e| and 0.265 |e|, respectively. H 2 O and CO 2 are electron acceptors, and Fe atoms on the surface are electron donors. The splitting of H 2 O or CO 2 and the oxidation of reduced oxygen carriers are generally exothermic reactions, which can realize the oxidation of the reduced oxygen carrier and provide heat for the system. [ABSTRACT FROM AUTHOR]

• Data-driven tools for environmental regulation models in protected agriculture. • Independent software platform for processing Pn data and formulating targets. • Functions for Pn prediction, environment regulation model development, and visualization. • Ability to handle photosynthetic data, achieving high precision and low error. Protected agriculture has emerged as a key solution to address the pressing issue of food scarcity. To enhance crop yield, environmental regulation techniques have been widely employed in protected production. However, the absence of user-friendly, data-driven tools for developing regulation models remains a challenge. This study aims to propose IPECM, an independent and user-friendly software platform for processing and analyzing crop photosynthetic rate (Pn) data and formulating environmental regulation targets. The platform provides functionalities, such as Pn prediction model development, environmental regulation model development and result visualization, supporting various machine learning algorithms and regulation target obtaining algorithms. The IPECM Platform's application is demonstrated through examples of light intensity regulation for cucumber growth and CO 2 concentration regulation for tomato growth. The results showcase the software's ability to handle photosynthetic data of any dimension, with the established Pn prediction model achieving a coefficient of determination of 0.98 and a root mean square error lower than 1 μmol·m−2·s−1. The established regulation models can achieve maximum Pn or optimal energy utilization efficiency according to user requirements. IPECM Platform is an independent, automated, and open-source software for protected environmental regulation modeling, providing both the modeling process and results visualization. It offers valuable services for protected agriculture research, eliminating the need for programming knowledge. [ABSTRACT FROM AUTHOR]

Nanoplastics and antibiotics frequently co-exist in water polluted by algal blooms, but little information is available about interaction between substances. Erythromycin, as a representative of antibiotics, has been frequently detected in aquatic environments. This investigation attempted to reveal the interaction mechanism of nanoplastics and erythromycin on Chlorella pyrenoidosa. Results demonstrated that the joint toxicity of erythromycin and nanoplastics was dynamic and depended on nanoplastics concentration. Antagonistic effects of 1/2 or 1 EC 50 erythromycin and nanoplastic concentration (10 mg/L) on the growth of C. pyrenoidosa was observed. The joint toxicity of 1/2 or 1 EC 50 erythromycin and nanoplastic concentration (50 mg/L) was initially synergistic during 24–48 h and then turned to antagonistic during 72–96 h. Consequently, antagonistic effect was the endpoint for joint toxicity. Integration of transcriptomics and physiological biochemical analysis indicated that the co-existence of nanoplastics and erythromycin affected the signal transduction and molecular transport of algal cell membrane, induced intracellular oxidative stress, and hindered photosynthetic efficiency. Overall, this study provided a theoretical basis for evaluating the interactive mechanisms of nanoplastics and antibiotics. [Display omitted] • Joint toxicity of nanoplastic and ERY to algae had both antagonism and synergism. • The dose of nanoplastics was the dominant factor affecting the joint toxicity. • Cell adhesion molecules pathway dominates cell defense against joint toxicity. [ABSTRACT FROM AUTHOR]

Atrial fibrillation (AF) is the commonest sustained cardiac arrhythmia observed in clinical practice. Its prevalence increases dramatically with advancing age. This review article discusses the recent advances in studies investigating the relationship between aging and AF and the possible underlying mechanisms. • Atrial fibrillation (AF) and aging are bidirectionally related. • AF and aging constitute a vicious circle. • Targeted aging therapy may better assist the management of AF in the elderly. [ABSTRACT FROM AUTHOR]

[Display omitted] • The quality of iron walnut oleogels prepared with different oleogelators varies. • We compared physicochemical properties of these oleogels. • The oleogel with iron walnut oil and OZ-PS showed promising characteristics. • Opportunities for wider application of iron walnut oil in food products may result. In this study, we compared the quality of iron walnut oil (IWO) oleogels prepared with different oleogelators, including γ-oryzanol/β-sitosterol (OZ-PS), γ-oryzanol/triglyceride (OZ-TC), monoglycerides (MGS), beeswax (BW), beeswax-monoglycerides (BW-MGS), and carnauba wax (CW). The physicochemical and component properties, rheological and textural parameters, macroscopic morphologies, and antioxidant capacities of the resulting oleogels were analyzed. In addition, their microscopic properties were analyzed using Fourier-transform infrared (FTIR), X-ray powder diffraction (XRD) spectroscopy, and polarized light microscopy (PLM). The results showed that the gel structures produced by different oleogelators did not change the fatty acid composition of IWO. In addition, the IWO oleogel prepared with OZ-PS had a more stable network structure, excellent hardness at 4℃ (1116.51 g), better antioxidant capacity (766.50 μmol TE/kg) and higher total phenolic content (14.98 mg/kg) than any other experimental IWO oleogels. Moreover, comprehensive ranking by principal component analysis of numerous characteristics showed that the OZ-PS oleogel (2.533) ranked first among the six oleogels studied. Therefore, the IWO oleogel prepared with OZ-PS is a promising product, and our results provide guidance for the preparation of IWO oleogels, such as to increase their applications in the food industry. [ABSTRACT FROM AUTHOR]

Strength prediction under the action of pores is crucial for the safety of ceramics. Here, a quantitative prediction model of pore-strength response under mode-I loading was developed based on the new mapping relationship between stress intensity factor and tip radius. The new model was proved to have great application after comparison and analysis of the pore-strength test data of three typical ceramics as well as the pertinent data as-reported in the literature. Results indicated that when the tip radius of pore (ρ) exceeds the critical value (ρ c = K Ic 2/(π σ 0 2)), the stress intensity factor increases as a power function with increasing ρ , at which point the strength decay is significantly weakened, and when the ρ is lower than the ρ c , the pore can be equated to a crack problem. This work can not only forecast and assess the failure strength of ceramics containing pores, but also provide guidance for the design of extremely dependable ceramics. [ABSTRACT FROM AUTHOR]

Na 0.5 Bi 0.5 TiO 3 -based relaxor ferroelectric ceramics have attracted widespread attention due to their potential applications in energy storage capacitors for pulse power system. We herein propose a synergistic strategy of introduction of 6s2 lone pair electrons, breaking the long-range ferroelectric order, and band structure engineering for high performance energy storage by introducing Bi(Mg 0.5 Sn 0.5)O 3 (BMS) with weak ferroelectric active cations into 0.7Na 0.5 Bi 0.5 TiO 3 -0.3SrTiO 3 (BNT-ST) to form BNT-ST-BMS ceramics. The doped ceramics display the excellent dielectric stability versus temperature and frequency. The suitable BMS doping can increase the band gap of the BNT-ST ceramic and effectively avoids early dielectric breakdown and polarization saturation. The BNT-ST-BMS ceramic in the composition of x = 0.08 exhibits an outstanding recoverable energy storage density (W rec) of 5.99 J/cm3, together with a good efficiency (ƞ) of 76% as well as an excellent dielectric stability versus temperature (Δε r /ε r(150°C) ≤ ±15%) and frequency. The findings in this work demonstrate that the BNT-ST-BMS ceramics have exceptional potential as candidate materials for pulse power and high voltage capacitors applications, and provide a path for the development of the other lead-free energy storage materials. [ABSTRACT FROM AUTHOR]

Predicting the crystal structure is essential to address the reliance on serendipity for facilitating the discovery and design of high‐performance high‐entropy oxides (HEOs). Here, three classic algorithms‐based machine learning models to predict the crystal structure of HEOs are successfully established and analyzed by combining five metrics, and the XGBoost classifier shows excellent accuracy and robustness with ACC and F1 scores up to 0.977 and 0.975, respectively. SHAP summary plot indicates that the anion‐to‐cation radius ratio (rA/rC) has the greatest impact on crystal structure, followed by difference in Pauling and Mulliken electronegativities (ΔχPauling and ΔχMulliken). It is noteworthy that the rA/rC, ΔχPauling, and ΔχMulliken lower than 0.35, 0.1, and 0.2, respectively, tend to lead to a fluorite crystal structure, whereas rock‐salt and spinel crystal structures are always formed. This work is expected to facilitate the discovery and design of HEOs with tailorable crystal structures and properties. [ABSTRACT FROM AUTHOR]

Na 0.5 Bi 0.5 TiO 3 -based relaxor ferroelectric ceramics have attracted widespread attention due to their potential applications in energy storage capacitors for pulse power system. We herein propose a synergistic strategy of introduction of 6s2 lone pair electrons, breaking the long-range ferroelectric order, and band structure engineering for high performance energy storage by introducing Bi(Mg 0.5 Sn 0.5)O 3 (BMS) with weak ferroelectric active cations into 0.7Na 0.5 Bi 0.5 TiO 3 -0.3SrTiO 3 (BNT-ST) to form BNT-ST-BMS ceramics. The doped ceramics display the excellent dielectric stability versus temperature and frequency. The suitable BMS doping can increase the band gap of the BNT-ST ceramic and effectively avoids early dielectric breakdown and polarization saturation. The BNT-ST-BMS ceramic in the composition of x = 0.08 exhibits an outstanding recoverable energy storage density (W rec) of 5.99 J/cm3, together with a good efficiency (ƞ) of 76% as well as an excellent dielectric stability versus temperature (Δε r /ε r(150°C) ≤ ±15%) and frequency. The findings in this work demonstrate that the BNT-ST-BMS ceramics have exceptional potential as candidate materials for pulse power and high voltage capacitors applications, and provide a path for the development of the other lead-free energy storage materials. [ABSTRACT FROM AUTHOR]

Ulcerative colitis (UC) is a typical inflammatory bowel disease (IBD), impairing the quality of life of patients. Dehydroevodiamine (DHE) is an active alkaloid isolated from Tetradium ruticarpum that exerts significant anti-inflammatory effects in gastrointestinal diseases. However, the effect and mechanisms of DHE on UC remain unclear. We performed a DSS-induced experimental UC rat model to reveal the efficacy and potential mechanisms of DHE on UC. HE and AB-PAS staining were used for the evaluation of pathologies, and 16S rRNA sequencing was used to detect changes in gut microbes. Metabolomics was used to detect changes in serum metabolites. Network pharmacology and transcriptomics were conducted to reveal the underlying mechanisms of DHE for UC. HuProt proteome microarrays, molecular docking, and SPR were used to reveal the targets of action of DHE. WB, RT-qPCR, and IHC were used to assess the action effects of DHE. DHE demonstrated significant alleviation of DSS-induced colitis symptoms in rats by suppressing inflammatory and oxidative stress responses, amending colonic barrier injury, and inhibiting apoptosis. In terms of gut microbial modulation, DHE decreased the abundance of Allobaculum, Clostridium, Escherichia, Enterococcus, and Barnesiella and increased the abundance of Lactobacillus, Bifidobacterium, and SMB5. Moreover, metabolomics suggested that the regulation of DHE in DSS-induced UC rats mainly involved aminoacyl-tRNA biosynthesis, vitamin B6 metabolism, phenylalanine, tyrosine, and so on. Mechanically, DHE alleviated UC in rats by targeting AKT1, thereby inhibiting the PI3K/AKT/NF-κB signaling pathway. [ABSTRACT FROM AUTHOR]

Background: Laparoscopic pancreatoduodenectomy (LPD) is one of the most challenging operations and has a long learning curve. Artificial intelligence (AI) automated surgical phase recognition in intraoperative videos has many potential applications in surgical education, helping shorten the learning curve, but no study has made this breakthrough in LPD. Herein, we aimed to build AI models to recognize the surgical phase in LPD and explore the performance characteristics of AI models. Methods: Among 69 LPD videos from a single surgical team, we used 42 in the building group to establish the models and used the remaining 27 videos in the analysis group to assess the models' performance characteristics. We annotated 13 surgical phases of LPD, including 4 key phases and 9 necessary phases. Two minimal invasive pancreatic surgeons annotated all the videos. We built two AI models for the key phase and necessary phase recognition, based on convolutional neural networks. The overall performance of the AI models was determined mainly by mean average precision (mAP). Results: Overall mAPs of the AI models in the test set of the building group were 89.7% and 84.7% for key phases and necessary phases, respectively. In the 27-video analysis group, overall mAPs were 86.8% and 71.2%, with maximum mAPs of 98.1% and 93.9%. We found commonalities between the error of model recognition and the differences of surgeon annotation, and the AI model exhibited bad performance in cases with anatomic variation or lesion involvement with adjacent organs. Conclusions: AI automated surgical phase recognition can be achieved in LPD, with outstanding performance in selective cases. This breakthrough may be the first step toward AI- and video-based surgical education in more complex surgeries. [ABSTRACT FROM AUTHOR]

Incorporating renewable energy sources into the grid poses challenges due to their volatility and uncertainty in optimizing dispatch strategies. In response, this article proposes a cloud–edge collaborative scheduling strategy for distributed multi-energy systems, operating across various time scales. The strategy integrates day-ahead dispatch, intra-day optimization, and real-time adjustments to minimize operational costs, reduce the wastage of renewable energy, and enhance overall system reliability. Furthermore, the cloud–edge collaborative framework helps mitigate scalability challenges. Crucially, the strategy considers the multi-timescale characteristics of two types of energy storage systems (ESSs) and three types of demand response (DR), aimed at optimizing resource allocation efficiently. Comparative simulation results evaluate the strategy, providing insights into the significant impacts of different ESS and DR types on system performance. By offering a comprehensive approach, this strategy aims to address operational complexities. It aims to contribute to the seamless integration of renewable energy into distributed systems, potentially enhancing sustainability and resilience in energy management. [ABSTRACT FROM AUTHOR]

Background Objective Methods Results Conclusion Sleep deprivation (SD) can cause damage to the male reproductive system. However, the duration required for such damage and the specific sequence and severity of damage to the testis and epididymis remain unclear.To investigate the effects of different durations of SD on different parts of the testis and epididymis caput, corpus, and cauda.Adult ICR mice were randomly assigned to five groups: the SD group (SD for 18 h/day for 1, 2, 3, or 4 weeks), the SD + Vit E group (supplemented with Vit E 50 mg/kg/d during 4 weeks of SD, the SD+NS group (saline supplementation during 4 weeks of SD), the SD + RS group (5 weeks of recovery sleep after 4 weeks of SD), and a normal sleep control (Ctrl) group. Following the interventions, sperm parameters, testicular and epididymal histopathology, inflammatory response, and oxidative stress markers were compared between the groups.Compared to the Ctrl group, the SD group showed a decrease in sperm motility and concentration from SD 2 W and SD 3 W, respectively. Decreases in sperm concentration and motility were more pronounced in the cauda compared to the caput and corpus. Pathological damage was less severe in the epididymis caput than in the corpus and cauda. After 4 weeks of SD, inflammation and oxidative stress increased in both testes and epididymis. Both sleep recovery and vitamin E supplementation showed significant improvements, though they did not fully reach the level of the Ctrl group.Chronic SD for more than 2 weeks causes varying degrees of damage to the testis, epididymis caput, corpus, and cauda in male mice. This damage is not fully reversible after 5 weeks of sleep recovery and antioxidant stress treatment. These findings help us to identify and prevent SD damage to the male reproduction at an early stage. [ABSTRACT FROM AUTHOR]

Nitrate electrocatalytic reduction (NO3RR) is a potential approach to ammonia (NH3) production, and the limited NH4+–N selectivity and NH4+–N yield rate are great challenges in NO3RR to NH3. Herein, the self-supported iron phosphide electrodes were successfully prepared by electrodeposition and low-temperature pyrolysis method. The characterization results shown that 0.2FexP/Fe0-300 electrode consisted of amorphous FexP and crystalline Fe0 particles. 0.2FexP/Fe0-300 electrode exhibited the good NO3RR performance with high NO3−–N removal efficiency of 96.04%, NH4+–N selectivity of 97.52%, and NH4+–N yield rate of 57.24 μmol·cm−2·h−1 at initial NO3−–N concentration of 50 mg·L−1, while 96.47% NH4+–N FE was obtained at initial NO3−–N concentration of 200 mg·L−1. In direct reduction pathway, amorphous FexP, serving as an electron mediator, and crystalline Fe0, acting as the electron donor, facilitated the electron-transfer. However, in indirect reduction pathway, the generated atomic H* with strong reducibility, contributed marginally to NO3−–N reduction in 0.2FexP/Fe0-300 electrode. [ABSTRACT FROM AUTHOR]

The effect of the addition of alkali earth element Ca on the microstructure and mechanical properties of extruded AZ91-0.4Ce-xCa (x = 0, 0.4, 0.8, 1.2 wt.%) alloys was studied by using scanning electron microscopy, transmission electron microscopy, and tensile tests. The results showed that the addition of Ca could significantly refine the second phase and grain size of the extruded AZ91-0.4Ce alloy. The refinement effect was most obvious when 0.8 wt.% of Ca was added, and the recrystallized grain size was 4.75 μm after extrusion. The addition of Ca resulted in the formation of a spherical Al2Ca phase, which effectively suppressed the precipitation of the β-Mg17Al12 phase, promoted dynamic recrystallization and grain refinement, impeded dislocation motion, and exerted a positive influence on the mechanical properties of the alloy. The yield strength (YS), ultimate tensile strength (UTS), and elongation (EL) of the AZ91-0.4Ce-0.8Ca alloy were 238.7 MPa, 338.3 MPa, and 10.8%, respectively. [ABSTRACT FROM AUTHOR]

Hydrogenation of N‐heteroarenes to saturated N‐heterocycles is an important reaction in organic synthesis. Hydrogen is a green reducing reagent and has been widely applied in industrial production. The development of an appropriate catalyst to realize hydrogenation at low pressure and temperature is desired. In this study, we developed a cobalt‐based catalyst derived from ZIF‐67 that exhibits high activity for N‐heteroarene hydrogenation under 5–20 bar hydrogen, which is a relatively low pressure as compared to reported catalytic systems. This nano‐cobalt catalyst shows broad substrate scope and can be reused without obvious activity loss. [ABSTRACT FROM AUTHOR]

Premature ejaculation is a common male sexual dysfunction. It seriously afects the life quality of patient and the relationship with his spouse, and in the long run, it may lead to serious personal consequences such as distress, anxiety, and stress. The proportion of patients with acquired premature eeaculation is relatively high among premature eeaculation patients, and they are more wiiling to seek or plan to seek treatment. Existing researches have demonstrated that 5-hydroxytryptophan synthesis is important in the development of premature eeaculation. The kynurenine pathway, which is one of the tryptophan metabolic pathways, may be associated with the development of premature eeaculation. Currently, the relationship between this pathway and premature eeaculation remains largely uncharacterized. This article summarizes and reviews the relationship between the kynurenine pathway and acquired premature eeaculation. [ABSTRACT FROM AUTHOR]

Inflammatory Bowel Disease (IBD) is a chronic condition whose incidence has been rising globally. Synbiotic (SYN) is an effective means of preventing IBD. This study investigated the preventive effects and potential biological mechanisms of SYN (Bifidobacterium longum , Lactobacillus acidophilus , and sea buckthorn polysaccharides) on DSS-induced colitis in mice. The results indicated that dietary supplementation with SYN has a significant improvement effect on DSS mice. SYN ameliorated disease activity index (DAI), colon length, and intestinal barrier permeability in mice. In addition, RT-qPCR results indicated that after SYN intervention, the expression levels of pro-inflammatory factors (IL-6, IL-1β, TNF-α, and IL-17F) and transcription factor RORγt secreted by Th17 cells were significantly reduced, and the expression levels of anti-inflammatory factors (IL-10 and TGF-β) and transcription factor Foxp3 secreted by Treg cells were robustly increased. 16S rDNA sequencing analysis revealed that key intestinal microbiota related to Th17/Treg balance (Ligilactobacillus , Lactobacillus , Bacteroides , and Akkermansia) was significantly enriched. At the same time, a significant increase in microbial metabolites SCFAs and BAs was observed. We speculate that SYN may regulate the Th17/Treg balance by restructuring the structure and composition of the intestinal microbiota, thereby mitigating DSS-induced colitis. [Display omitted] • Probiotics, prebiotics, and synbiotics alleviate acute colitis in mice. • Synbiotics promote secretion of bacterial metabolites SCFAs and BAs. • Synbiotics remodel the structure and composition of the intestinal microbiota. • Synbiotics improve intestinal Th17/Treg homeostasis imbalance in DSS mice. [ABSTRACT FROM AUTHOR]

Prenatal lethality associated with mouse knockout of Mettl16, a recently identified RNA N6-methyladenosine (m6A) methyltransferase, has hampered characterization of the essential role of METTL16-mediated RNA m6A modification in early embryonic development. Here, using cross-species single-cell RNA sequencing analysis, we found that during early embryonic development, METTL16 is more highly expressed in vertebrate hematopoietic stem and progenitor cells (HSPCs) than other methyltransferases. In Mettl16-deficient zebrafish, proliferation capacity of embryonic HSPCs is compromised due to G1/S cell cycle arrest, an effect whose rescue requires Mettl16 with intact methyltransferase activity. We further identify the cell-cycle transcription factor mybl2b as a directly regulated by Mettl16-mediated m6A modification. Mettl16 deficiency resulted in the destabilization of mybl2b mRNA, likely due to lost binding by the m6A reader Igf2bp1 in vivo. Moreover, we found that the METTL16-m6A-MYBL2-IGF2BP1 axis controlling G1/S progression is conserved in humans. Collectively, our findings elucidate the critical function of METTL16-mediated m6A modification in HSPC cell cycle progression during early embryonic development. Synopsis: METTL16 plays a crucial role in N6-methyladenosine (m6A) modification of RNA. This study sheds light on the significance of this event in early embryonic development and cell cycle progression. METTL16 is highly expressed in hematopoietic stem and progenitor cells (HSPCs) across vertebrates Mettl16 maintains HSPC populations by ensuring G1/S progression in vivo Mettl16-mediated m6A modification of mRNA coding for transcription factor mybl2b enhances its stability The METTL16/m6A/MYBL2/IGF2BP1 axis contributes to G1/S progression in both zebrafish and humans The N6-methyladenosine methyltransferase METTL16 regulates cell cycle progression of HPSCs during embryonic development by stabilizing mybl2b mRNA. [ABSTRACT FROM AUTHOR]

Cotton is an important economic crop; therefore, enhancing cotton yield and cultivating superior varieties are key research priorities. The seedling stage, a critical phase in cotton production, significantly influences the subsequent growth and yield of the crop. Therefore, breeding experts often choose to measure phenotypic parameters during this period to make breeding decisions. Traditional methods of phenotypic parameter measurement require manual processes, which are not only tedious and inefficient but can also damage the plants. To effectively, rapidly, and accurately extract three-dimensional phenotypic parameters of cotton seedlings, precise segmentation of phenotypic organs must first be achieved. This paper proposes a neural network-based segmentation algorithm for cotton seedling organs, which, compared to the average precision of 75.4% in traditional unsupervised learning, achieves an average precision of 96.67%, demonstrating excellent segmentation performance. The segmented leaf and stem point clouds are used for the calculation of phenotypic parameters such as stem length, leaf length, leaf width, and leaf area. Comparisons with actual measurements yield coefficients of determination R 2 of 91.97%, 90.97%, 92.72%, and 95.44%, respectively. The results indicate that the algorithm proposed in this paper can achieve precise segmentation of stem and leaf organs, and can efficiently and accurately extract three-dimensional phenotypic structural information of cotton seedlings. In summary, this study not only made significant progress in the precise segmentation of cotton seedling organs and the extraction of three-dimensional phenotypic structural information, but the algorithm also demonstrates strong applicability to different varieties of cotton seedlings. This provides new perspectives and methods for plant researchers and breeding experts, contributing to the advancement of the plant phenotypic computation field and bringing new breakthroughs and opportunities to the field of plant science research. [ABSTRACT FROM AUTHOR]

The upconversion fluorescence thermometry has been recognized as one of the most promising techniques for the temperature measurement and multi-mode fluorescence temperature sensing can improve the accuracy and widen the temperature range. Herein, a fluorescence thermometry was developed based on the MgAlON: Er3+ transparent ceramic. It was demonstrated that the enrichment of Er3+ in grain boundaries increased susceptibility to temperature variations of the cross-relaxation rate, which endowed the non-thermally coupled energy levels with temperature sensing properties and led to the multi-mode thermometric capability. A novel four-mode temperature sensor based on fluorescence intensity ratios (2H 11/2 /4S 3/2 and 4F 9/2 /4S 3/2) and fluorescent lifetimes (4F 9/2 and 4S 3/2) was realized in the temperature range of 180–500 K, which brought about the maximum absolute and relative sensitivities reached 0.0258 K−1 and 2.95% K−1, respectively. This work reveals that the MgAlON: Er3+ and the grain boundary functionalization of transparent ceramics could have potential applications for fluorescence thermometry. • A novel four-mode MgAlON: Er3+ fluorescent temperature sensor was prepared. • The maximum absolute and relative sensitivities of MgAlON: Er3+ reached 0.0258 K−1 and 2.95% K−1, respectively. • The grain boundary enrichment of Er3+ makes the cross-relaxation rate temperature-sensitive, forming a multi-mode fluorescence thermometry. [ABSTRACT FROM AUTHOR]

Pancreatic ductal adenocarcinoma (PDAC) is not sensitive to most chemotherapy drugs, leading to poor chemotherapy efficacy. Recently, Trametinib and Palbociclib have promising prospects in the treatment of pancreatic cancer. This article aims to explore the effects of Trametinib on pancreatic cancer and address the underlying mechanism of resistance as well as its reversal strategies. The GDSC (Genomics of Drug Sensitivity in Cancer) and CTD2 (Cancer Target Discovery and Development) were utilized to screen the potential drug candidate in PDAC cell lines. The dose-increase method combined with the high-dose shock method was applied to induce the Trametinib-resistant PANC-1 and MIA PaCa-2 cell lines. The CCK8 proliferation assay, colony formation assay, flow cytometry, and western blot were conducted to verify the inhibitory effect of Trametinib and Palbociclib. RNA-seq was performed in resistant PDAC cell lines to find the differential expression genes related to drug resistance and predict pathways leading to the reversal of Trametinib resistance. The GDSC and CTD2 database screening revealed that Trametinib demonstrates a significant inhibitory effect on PDAC. We found that Trametinib has a lower IC50 than Gemcitabine in PDAC cell lines. Both Trametinib and Gemcitabine can decrease the proliferation capacity of pancreatic cells, induce cell cycle arrest, and increase apoptosis. Simultaneously, the phosphorylation of the AKT and ERK pathways were inhibited by the treatment of Trametinib. In addition, the RNA-seq of Trametinib-induced resistance PDAC cell lines reveals that the cyclin-dependent kinase (CDK)-RB-E2F regulatory axis and G2/M DNA damage checkpoint might lead the drug resistance. Besides, the combination of Trametinib with Palbociclib could inhibit the proliferation and cell cycle of both resistant cells lines and also restore the sensitivity of drug-resistant cells to Trametinib. Last but not least, the interferon-α and interferon-γ expression were upregulated in resistance cell lines, which might lead to the reversal of drug resistance. The study shows Trametinib has a critical inhibitory effect on PDAC. Besides, the combination of Trametinib with Palbociclib can inhibit the proliferation of PDAC-resistant cells. [ABSTRACT FROM AUTHOR]

BACKGROUND: A new enzymatic hydrolysis‐based process inspired by the Maillard reaction can produce strong flavored, high‐value rapeseed oil that meets safety requirements. In the present study, the effect of reaction time (10–30 min) and temperature (130–160 °C) on the physicochemical properties, nutritional status, fatty acids composition and key aroma compounds of fragrant rapeseed oil (FRO) was investigated. RESULTS: An increasing reaction time and temperature substantially decreased the total tocopherol, polyphenol and sterol contents of FRO, but increased benzo[a]pyrene content, as well as the acid and peroxide values, which did not exceed the European Union legislation limit. Among the volatile components, 2,5‐dimethyl was the main substance contributing to the barbecue flavor of FRO. The 150 °C for 30 min reaction conditions produced a FRO with a strong, fragrant flavor, with high total tocopherol (560.15 mg kg−1), polyphenol (6.82 mg kg−1) and sterol (790.65 mg kg−1) contents; acceptable acid (1.60 mg g−1) and peroxide values (4.78 mg g−1); and low benzo[a]pyrene (1.39 mg g−1) content. These were the optimal conditions for the enzymatic Maillard reaction, according to the principal component analysis. Furthermore, hierarchical cluster analysis showed that reaction temperature had a stronger effect on FRO than reaction time. CONCLUSION: The optimal enzymatic Maillard reaction conditions for the production of FRO are heating at 150 °C for 30 min. These findings provide new foundations for better understanding the composition and flavor profile of FRO, toward guiding its industrial production. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Background Objectives Materials and methods Results Discussion: Conclusion: Since the outbreak of coronavirus disease 2019, it has had a serious impact on people's physical and mental health. However, in our clinical work, we have found that the erectile function of coronavirus disease 2019 patients with neurological decline was often seriously affected.To further explore the relationship between erectile dysfunction and neurological dysfunction caused by coronavirus disease 2019.We conducted a survey from August 2022 to February 2023 at the First Affiliated Hospital of Anhui Medical University and the Third People's Hospital of Linyi City. A total of 251 subjects with a history of coronavirus disease 2019 infection were included. Symptoms and changes in erectile function after the coronavirus disease 2019 infection were collected and assessed using the International Index of Erectile Function‐5 scale and several targeted questions.In this study, we found that in patients infected with novel coronavirus, the proportion of erectile dysfunction was higher in those with neurological manifestations such as olfactory and taste impairment or psychological symptoms such as anxiety.We found that neurological decline and psychological factors were independent and significant risk factors for erectile dysfunction caused by coronavirus disease 2019.Patients with neurological damage or psychiatric symptoms are more likely to have erectile dysfunction, suggesting that the 2019 novel coronavirus may affect erectile function by damaging nerves. This provides a new insight into the mechanism of erectile dysfunction [ABSTRACT FROM AUTHOR]

Background: The role of Acyl-CoA dehydrogenase long chain (ACADL) in different tumor types had different inhibiting or promoting effect. However, its role in non-small cell lung cancer (NSCLC) carcinogenicity is not clear. Method: In this study, we utilized The Cancer Genome Atlas (TCGA) database to analyze ACADL expression in NSCLC and its correlation with overall survival. Furthermore, we investigated the function of ACADL on cellular proliferation, invasion, colony, apoptosis, cell cycle in vitro with NSCLC cells. Mechanistically, we evaluated the regulatory effect of ACADL expression on its downstream factor yes-associated protein (YAP) by assessing YAP phosphorylation levels and its cellular localization. Finally, we verified the tumorigenic effect of ACADL on NSCLC cells through xenograft experiments in vivo. Results: Compared to adjacent non-cancerous samples, ACADL significantly down-regulated in NSCLC. Overexpression of ACADL, effectively reduced the proliferative, colony, and invasive capabilities of NSCLC cells, while promoting apoptosis and inducing cell cycle arrest. Moreover, ACADL overexpression significantly enhanced YAP phosphorylation and hindered its nuclear translocation. However, the inhibitory effect of the overexpression of ACADL in NSCLC cells mentioned above can be partially counteracted by YAP activator XMU-MP-1 application both in vitro and in vivo. Conclusion: The findings suggest that ACADL overexpression could suppress NSCLC development by modulating YAP phosphorylation and limiting its nuclear shift. This role of ACADL-YAP axis provided novel insights into NSCLC carcinogenicity and potential therapeutic strategies. [ABSTRACT FROM AUTHOR]

Although single-band emission upconversion fluorescence, which is particularly important in sensors, biomedical and imaging applications, has been extensively investigated in nanoparticles using energy transfer engineering, it is still difficult to be achieved in transparent ceramics. Herein, the MgAlON: Er3+/Yb3+ transparent ceramics with functionalized grain boundaries were successfully fabricated. Lanthanide ions were investigated to highly enrich at the MgAlON grain boundaries, resulting in novel fluorescent properties. Upon 980 nm laser excitation, the sample emitted temperature and excitation power-independent single-band red upconverted fluorescence with a red-to-green fluorescence intensity ratio of ∼25. The new mechanism of Yb3+-Yb3+ cooperative fluorescence-assisted energy transfer, which is responsible for the single-band feature, was elucidated. Moreover, the upconverted fluorescence chromaticity can be modified by the excitation wavelength, relying on the existence of the cooperative fluorescence level and its related energy transfer mechanism. This work reveals the potential of grain boundary functionalization of transparent ceramics in energy transfer engineering. [ABSTRACT FROM AUTHOR]

This study aims to investigate the clinical application value of ultrasonography–computed tomography (CT) fusion navigation technology in bone tumor biopsy surgery. Thirty patients with bone tumors requiring biopsy surgery were randomly assigned to either the U-C group (ultrasonography–CT group; n = 15) or the control group (n = 15). The U-C group used ultrasonography–CT fusion navigation technology for real-time localization of the biopsy needle, whereas the control group relied on intraoperative C-arm fluoroscopy for localization. The success rate of the surgeries, the number of radiation exposures during the procedure, surgical time, and intraoperative blood loss were compared between the 2 groups. The number of intraoperative radiation exposures in the U-C group was 2 versus 7 in the control group (P < 0.05), showing significant differences between the 2 groups. The success rate of biopsies in the U-C group and control group was 100% (P > 0.05), the mean operative time was 45 ± 9 minutes versus 42 ± 13 minutes (P > 0.05), and intraoperative bleeding volume was 10 ± 4 mL versus 11 ± 5 mL (P > 0.05), all showing no significant differences between the 2 groups. The real-time localization of the biopsy needle in bone tumor biopsy surgery using ultrasonography–CT fusion navigation technology can significantly reduce intraoperative radiation exposure for both patients and surgeons during the procedure. Consequently, this technique holds certain clinical applicability. [ABSTRACT FROM AUTHOR]

Objective To evaluate the teaching effects of comparative teaching combined with lecture-based learning (LBL) teaching mode and LBL mode alone. Methods The physicians who participated in the standardized diagnosis and treatment class of andrology diseases in Anhui Province from 2018 to 2020 were taken as the study subjects. The participators were randomly divided into the combined LBL teaching group and the LBL teaching group. After the training course was completed, the teaching effectiveness of the two groups of the participators was evaluated using the continuous mini clinical evaluation method (Mini-CEX), and questionnaire feedback. Results There were 28 students in the combined LBL teaching group and 27 students in the LBL teaching group. Except for the score of organizational ability dimension, the scores of other dimension parameters in the Mini-CEX assessment in the combined LBL teaching group were all increased significantly compared with those in the LBL teaching group (P <0.05). The results of questionnaire feedback showed that the teaching effectiveness of the combined LBL teaching group was superior to that of the LBL teaching group. The comparative teaching combined with LBL teaching mode significantly improved the understanding of knowledge points and clinical practice ability on andrology disease (P <0. 05). Conclusion The comparative teaching combined with LBL teaching mode is better than LBL teaching mode in the standardized training on the diagnosis and treatment of ED. [ABSTRACT FROM AUTHOR]

Underwater images are affected by light scattering and absorption in the water. It usually faces challenges such as color distortion, loss of details, and low contrast. To address the above problems, this paper proposes a dual-color space color correction and histogram segmentation optimized strategy for underwater image enhancement. Specifically, this paper first calculates the quantile for adjusting the pixel distribution and performs histogram stretching to correct the image’s overall color. Then, a LAB color balancing strategy is designed to eliminate the color deviation resulting from the color correction process. Finally, histogram segmentation and adaptive pixel allocation methods are proposed to improve overall contrast. Experimental studies on three benchmark datasets for comparison with six state-of-the-art algorithms are conducted. Experimental results show the effectiveness of the mechanism proposed in this paper. Meanwhile, the proposed approach proves effective for key point and saliency detection. Additionally, the proposed approach exhibits promising results for images captured under challenging conditions such as low illumination, haze, and dust storms. [ABSTRACT FROM AUTHOR]

Camel milk powder possesses high nutritional and economic value. The adulteration of camel milk powder with other varieties seriously compromises consumer rights. In the practical application of hyperspectral analysis for camel milk powder detection, the sample categories used for testing often differ from those used to construct the model. As a learning approach adept at domain-shifted and few shot scenarios, meta-learning is employed to tackle this issue. In this study, we used camel milk powder adulterated with cow milk powder as training samples and adulterated with goat milk powder as test samples. In the detection of eleven adulteration levels, the detection accuracy for pure camel milk powder reached 98.92%. Notably, the detection accuracy for the less conspicuous 70% adulteration level achieved 77.69%. The comprehensive detection accuracy of meta-learning reached 84.4%, showcasing notable improvements compared to SVM, BP, and CNN, which saw increases of 24.67%, 28.16%, and 18.4%, respectively. The detailed analysis of feature vectors and contributions substantiates the reliability and stability of the meta-learning-based qualitative analysis. The introduction of meta-learning methods is poised to make significant contributions to rapid detection by relevant testing agencies and the protection of consumer rights. • A domain-shifted hyperspectral dataset was created for adulterated camel milk powder. • Under domain-shift, meta-learning achieved 84.4% detection performance. • The influence of different spectral bands on the model was elucidated. [ABSTRACT FROM AUTHOR]

Duplication is a foundation of molecular evolution and a driver of genomic and complex diseases. Here, we develop a genome editing tool named Amplification Editing (AE) that enables programmable DNA duplication with precision at chromosomal scale. AE can duplicate human genomes ranging from 20 bp to 100 Mb, a size comparable to human chromosomes. AE exhibits activity across various cell types, encompassing diploid, haploid, and primary cells. AE exhibited up to 73.0% efficiency for 1 Mb and 3.4% for 100 Mb duplications, respectively. Whole-genome sequencing and deep sequencing of the junctions of edited sequences confirm the precision of duplication. AE can create chromosomal microduplications within disease-relevant regions in embryonic stem cells, indicating its potential for generating cellular and animal models. AE is a precise and efficient tool for chromosomal engineering and DNA duplication, broadening the landscape of precision genome editing from an individual genetic locus to the chromosomal scale. [Display omitted] • AE achieves duplication of 20 bp to 100 Mb with high efficiency and precision • AE generates multiple repeats with duplication ranging from 20 bp to 8 kb • Mb-level duplications have been realized in embryonic stem cells and primary cells • AE treatment can upregulate expressions of non-coding RNA and a coding gene AE is a genome editing tool that can efficiently and precisely engineer the chromosomal structure through duplication, expanding the landscape of precision genome editing from single genetic locus to the chromosomal scale. [ABSTRACT FROM AUTHOR]

• A portable device was developed to detect moldy cores in apples. • Available spectral shape features are selected through one-way analysis of variance. • A new model was constructed that fused spectral characteristics and shapes. • The device can detect samples with moldy-core degrees less than 6%. Moldy core is a disease that significantly affects apple yield. However, discriminating slightly moldy cores is a substantial challenge in actual production. In this study, a device for detecting moldy cores in apples is developed. The device is supported by a C12880MA sensor and an STM32F103 microcontroller to detect Vis/NIR signals of apples. Experimentally obtained spectral data of Fuji apples were collected to analyze the characteristic wavelengths through different preprocessing methods for the detection of moldy cores. Additionally, multiple spectral shape features were extracted according to peaks and troughs. Significant differences in spectral shape features between healthy and moldy core samples were analyzed via a one-way analysis of variance. Finally, an apple moldy core discrimination model was constructed using an adaptive boosting algorithm that fused spectral characteristics and shapes. The model accuracy of the training set and the test set was 99.1 % and 97.3 %, respectively. Compared with other models, the proposed model effectively improved the accuracy of detecting samples with moldy core degrees less than 6 %. This research provides a novel method for detecting moldy cores, which is of great significance for apple quality management. [ABSTRACT FROM AUTHOR]

• Proposing a framework for multi-plant phenotype extraction with minimal point clouds. • Non-parametric strategy enhances point cloud spatial representation capability. • Creating a labeled cotton point cloud dataset with multi-temporal and multi-species. Rapid and precise 3D organ segmentation is crucial for the automatic extraction of phenotypic traits, forming a fundamental prerequisite for intelligent plant breeding. The advancement of deep learning technology has replaced labor-intensive manual measurements and traditional computer vision methods, which are sensitive to parameters, in phenotypic trait extraction. However, current larger network structures not only require extensive point cloud data but also consume substantial computational resources, rendering them unsuitable for agricultural tasks with limited plant samples. Therefore, this study developed a lightweight 3D deep learning network (PEPNet) that achieves precise plant organ segmentation and stem-leaf phenotypic trait extraction. The adopted simple-but-effective network architecture and innovative modern operations, including a high-dimensional feature mapping strategy for preprocessing input points, a local feature extraction module based on inverted residual bottleneck block, and a cost-free attention block for spatial feature fusion, effectively implement multi-scale hierarchies and adaptively reduce computational overheads. Experimental results from cotton stem-leaf segmentation demonstrated that PEPNet not only presented approximately 2 × faster inference speed (9.59 ms) and throughput (146.32 plants per second) but also achieved competitive segmentation performance compared to other six state-of-the-art deep learning networks, namely PointNet++, DGCNN, CurveNet, Point Cloud Transformer, PointMLP, and SPoTr, achieving 95.99 %, 94.66 %, 95.32 %, and 91.31 % in Precision, Recall, F1-score, and mIoU, respectively. In transferability experiments with tomato and soybean plants, PEPNet achieved almost all the best metrics and significantly outperformed the second-best model (CurveNet). Furthermore, ablation study verified the optimal trade-off between efficiency and accuracy in this network. Any modifications to the modules could potentially disrupt the optimal trade-off. This work could contribute to reducing computational resources and annotation costs for applying segmentation methods in high-throughput phenotyping tasks. [ABSTRACT FROM AUTHOR]

• We developed a new 6‑silyl-substituted phenanthridines synthesis from 2‑isocyanobiaryls with silanecarboxylic acids under photocatalytic conditions. • The reaction condition is mild without adding peroxide and base compared to reported methods. • The substrate scope for this 6‑silyl-substituted phenanthridine synthesis is broad with good functional group tolerance and high regioselectivity. A visible-light-induced decarboxylative annulation of 2‑isocyanobiaryls to 6‑silyl-substituted phenanthridines has been developed in this study. A series of 6‑silyl-substituted phenanthridines were obtained with a broad substrate scope under mild conditions. Compared with the reported methods, the strategy developed in this work does not require the use of peroxides and the reaction system is green and safe. A visible-light-induced decarboxylative annulation of 2‑isocyanobiaryls to 6‑silyl-substituted phenanthridines has been developed in this study. A series of 6‑silyl-substituted phenanthridines were obtained with a broad substrate scope under mild conditions. [Display omitted] [ABSTRACT FROM AUTHOR]

Antiferroelectric materials exhibit fantastic application potential in multifunctional devices due to their special structure and polarization/strain-electric field responses. However, it has long been challenging to realize multifunctionality in PbHfO 3 , one of the prototypical antiferroelectrics, due to its poor sinterability and structural complexity. To address these issues, we report an effective strategy to obtain fine and dense PbHfO 3 ceramics by the solid-state reaction method involving a liquid phase sintering mechanism. The crystal structure, microstructure, phase transitions, energy storage, and strain performance are systematically investigated. A high recoverable energy density W reco (7.29 J/cm3) and a large strain (0.51%) are achieved with a temperature-stable (25 ∼ 175 °C) feature. By combination of synchrotron and laboratorial X-ray diffraction, Raman spectroscopy, dielectric and impedance spectroscopy, and density-functional-theory calculations, the high and temperature-stable energy-storage and strain properties are determined to arise from the stable antiferroelectric nature of PbHfO 3 with a large polarization in a broad temperature range and its transformation to a ferroelectric phase with R 3 c symmetry under electric field. Furthermore, the ceramics present a negative temperature coefficient of resistance in a higher temperature range of 400 ∼ 600 °C. These performances grant PbHfO 3 antiferroelectric ceramics a huge potential for applications in high-density energy storage capacitors, large-displacement actuators, and temperature sensors and compensators over a broad temperature range. High performances of Pb (1+x) HfO 3 for multifunctional applications [Display omitted] [ABSTRACT FROM AUTHOR]

Using geopolymer concrete (GC) is a technically feasible decarbonization strategy in the cement and concrete industry shown by numerous papers. A key factor determining its commercial application is whether its cost is competitive. However, related study is scarce. In this paper, we present the analysis of GC's CO 2 avoidance cost, the cost incurred to reduce one metric ton of CO 2 emissions. The results show that among the 486 GC mixtures analyzed, only seven yield negative CO 2 avoidance costs, while 379 are even more expensive than capturing CO 2 from cement plants, which is another technically feasible decarbonization strategy and has been evaluated to have a CO 2 avoidance cost of 55 USD/tCO 2 in Chinese demonstration project. Only a few GC mixtures with lower CO 2 avoidance costs will be considered by the industry, and they are associated with low activator dosage and high compressive strength. To quantify this relationship, we introduce the activator index (Ai), which refers to the activator dosage (kg·m−3) required to achieve 1 MPa of compressive strength. The result shows that Ai values below certain thresholds correspond to lower CO 2 avoidance costs and significant emission reductions of GC. This Ai -based criterion helps identify the optimal GC mixture that effectively reduces CO 2 emissions at the lowest possible cost, thereby promoting its commercial application. [Display omitted] • Only 7 of 486 geopolymer concrete (GC) mixtures have negative CO 2 avoidance costs. • CO 2 avoidance costs of most GC in literature exceed CO 2 capture. • The lower activator dosage per MPa strength, the lower CO 2 avoidance cost of GC. [ABSTRACT FROM AUTHOR]