Deep learning model for predicting extraprostatic extension of prostate cancer based on H&E-stained biopsy digital images.

Background: To develop and validate a deep learning pipeline using prostate biopsy H&E slides to predict extraprostatic extension (EPE) in prostate cancer (PCa) patients.

Methods: A total of 2592 preoperative biopsy H&E slides from 260 consecutive PCa patients who underwent radical prostatectomy were collected from January 2019 to October 2023. Whole-slide images (WSIs) were digitized, tumor regions were annotated, and 224 × 224 pixel patches were extracted.

Visible-Light-Induced Intramolecular Dehydrogenative Cyclization of -Aryl Benzaldehydes.

A visible-light-induced dehydrogenative cyclization of -aryl benzaldehydes has been developed by using bench-stable -aminopyridinium salt as both a HAT reagent and a mild oxidant, which affords a wide range of fluorenones with diverse substitution patterns in moderate to excellent yields. Furthermore, this protocol is applicable to the synthesis of the natural product Nobilone. Mechanism investigation supports a photoinduced homocleavage of -aminopyridinium salt and a radical chain process.

Algal bloom disturbed the planktonic microbial foodweb and function in Lake Taihu: comparison of areas with and without algal bloom.

Algal bloom is one of the major current problems, while the impacts of algal bloom on the planktonic microbial community remain unclear. This study investigated the nutrients in water quality and surface sediment, and planktonic microbial community in twelve sampling sites from the western, eastern, northern, and center areas of Lake Taihu during the algal bloom period. We found that the mean total nitrogen, ammonium nitrogen, Chlorophyll(a) and chemical oxygen demand concentrations in overlying water varied significantly (p < 0.

Channelization and flow depletion shift benthic macroinvertebrate and fish communities in urban rivers.

Aquatic ecosystems worldwide are increasingly affected by human activities, with urbanization representing a major source of environmental stress. Channelization and flow depletion are key stressors in urban aquatic ecosystems. However, the combined effects of these factors on benthic macroinvertebrate and fish communities in urban rivers remain poorly understood.

Association of rs440446 in the APOE intron region with multidimensional cognitive function, lipid/metabolic markers, and spontaneous neural activity in Chinese urban community-dwelling older adults.

Background: rs440446 (+ 113G/C), located in the intron of the APOE gene, has unclear effects on cognition, blood lipids, metabolic markers, and neural activity in older Chinese adults.

Methods: A total of 505 older adults from communities in Qingdao were enrolled and categorized into C-allele carriers ( = 451) and GG homozygotes ( = 54) based on the sequencing result. Neuropsychological tests, lipid/metabolic markers ( = 326), and resting-state fMRI (rs-fMRI) data ( = 216) were collected.

Development and validation of a nomogram for predicting postoperative recurrent lumbar disc herniation after unilateral biportal endoscopic discectomy.

No study has investigated the incidence or risk factors of recurrent lumbar disc herniation (rLDH) after unilateral biportal endoscopic discectomy (UBED) in patients with lumbar disc herniation. Therefore, we aimed to construct and verify a nomogram that can predict the risk of recurrence after UBED for lumbar disc herniation and therefore help clinicians understand the recurrence rate of lumbar disc herniation before surgery and formulate corresponding interventions to improve the prognosis of patients. This is a retrospective study based on the data from all patients who underwent UBED for lumbar disc herniation in Zhoukou Central Hospital between September 2021 and December 2023.

Adaptive sliding mode controller based on improved Sparrow search algorithm for tracking control of human lower limb exoskeleton.

This study presents an Adaptive Sliding Mode Controller enhanced by an Improved Sparrow Search Algorithm (ISSA-SMC) for accurate motion tracking of lower-limb assistive exoskeletons. By incorporating human joint torque inputs into the exoskeleton's dynamic model, ISSA-SMC achieves real-time adaptation to user variability, external disturbances, and modeling uncertainties. A softmax strategy combined with the branch and bound method efficiently optimizes controller parameters, enhancing tracking accuracy and robustness with low computational cost.

Quasi-Elastic Neutron Scattering on Bimodal Dynamics in Molecular Solutions of Cellulose.

Local dynamics in molecular solutions of cellulose have been studied using quasi-elastic neutron scattering on ternary mixtures of microcrystalline cellulose, ionic liquid 1-ethyl-3-methyl-imidazolium acetate, and cosolvent dimethylformamide. Two distinct dynamic behaviors in solutions have been identified, with slow dynamics likely attributed to long-range translational diffusion and fast dynamics likely involving the motion of IL in nanoaggregates. The presence of cellulose suppresses both dynamic modes as the residence time for both slow and fast dynamics increases, while the radius of confinement remains invariant upon cellulose dissolution.

Hydrophobic Cation-Immobilized Covalent Organic Frameworks Enable Selective and Stable Electrosynthesis of Ethylene from CO.

The electrochemical reduction of CO (CORR) offers a promising strategy for the synthesis of multicarbon fuels and chemicals. However, the highly dynamic gas/electrolyte/catalyst interface, where ions and reactant molecules exchange in a disorderly manner, restricts the electrocatalytic selectivity and stability. Herein, we immobilize quaternary ammonium cations onto covalent organic frameworks (COFs) to tailor the interface environment for boosting the electrosynthesis of ethylene.

Rare complication of extracorporeal membrane oxygenation cannula misplacement into the hepatic vein: A case report.

Background: Veno-venous extracorporeal membrane oxygenation (V-V ECMO) is a lifesaving intervention for severe respiratory failure; however, its effectiveness depends on accurate cannulation-patients with anatomical variations present with significant challenges during the procedure.

Case Summary: We describe the case of a 56-year-old woman with severe pulmonary infection and acute respiratory failure managed with V-V ECMO. During the initial cannulation, a 23Fr venous drainage cannula was inadvertently inserted into the middle hepatic vein (HV) instead of the inferior vena cava (IVC) owing to the enlargement of the HV (1.

Transcriptome sequencing reveals the expression profiles of lncRNAs and mRNAs in goat skin tissues with different types of wool coats.

The diverse coat types of cashmere goats significantly influence cashmere yield, yet the regulatory mechanisms mediated by non-coding RNAs (ncRNAs) remain poorly characterized. In this study, we collected skin tissues from two distinct coat types (CHLC_ESA and CHSC_ESA) of The Jinlan Cashmere Goat for transcriptome sequencing analysis. Our findings revealed 130 differentially expressed (DE) lncRNAs and 341 DE mRNAs.

Constructing carboxylated cellulose nanofibers/chitosan aerogel loading with CdS/UiO-66-NH for wastewater treatment: Synergistic adsorption and visible light photocatalytic degradation.

The discharge of industrial effluents containing heavy metal ions and organic dyes has laid heavy burdens on ecosystem, meanwhile, drawing extensive scientific attention globally. In this work, CdS/UiO-66-NH heterojunction was uniformly loading on the aerogel skeleton composed of cellulose (CNF), chitosan (CS) and montmorillonite (MMT). The fabricated composite aerogel noted as CUN-CCMA was equipped with light density, a large specific area and a robust three-dimensional interpenetrating network.

Geography-guided industrial-level upcycling of polyethylene terephthalate plastics through alkaline seawater-based processes.

The escalating plastic crisis can be mitigated by upgrading waste polyethylene terephthalate (PET). Leveraging the geographical advantages of offshores with established chlor-alkali industries, abundant renewable energy, and extensive seawater, we here present a technically and economically viable strategy of harnessing natural seawater as a medium to transform PET plastics into high-value chemicals. We report a nickel-molybdenum catalyst incorporating frustrated Lewis pairs for the efficient breakage of C─C bond and the oxidation of ethylene glycol, which sustains a current of 6 amperes at 1.

[Role of Toll-like receptors in persistent infection of cervical high-risk human papillomavirus based on "latent pathogen theory"].

Persistent infection with high-risk human papillomavirus(HR-HPV) is the primary etiological factor in cervical lesions and cervical cancer. Toll-like receptors(TLRs), as important pattern recognition receptors of the innate immune system, play a key role in the persistence of cervical HR-HPV infection. The "latent pathogen theory" in traditional Chinese medicine(TCM) holds that latent pathogens have both "latent" and "triggered" characteristics, which closely resemble the persistent infection and latent pathogenic potential of cervical HR-HPV.

A Novel Lightweight Mechanical Metamaterial with a Tunable Thermal Expansion Coefficient.

In natural materials, thermal expansion is typically positive, and negative thermal expansion is rarely observed. The tunable thermal expansion properties of mechanical metamaterials offer a promising solution to challenges caused by rapid temperature fluctuations. Therefore, this study proposes a dual-material double-trapezoidal hexagonal mechanical metamaterial (DTH), and derives the thermoelastic equations that build the relationship between temperature, external force, and displacement.

Clay mineral content modulates biogenic gas production in coal: divergent microbial responses in low- and medium-rank coals revealed by multi-omics.

The influence of clay mineral content on biogenic gas production in coal seams remains insufficiently understood. This study systematically investigated the mechanisms by which clay minerals affect biogas production in low- and medium-rank coals by integrating simulated biogas production experiments with multidimensional analytical techniques, including infrared spectroscopy, X-ray diffraction, scanning electron microscopy, gas chromatography-mass spectrometry, fluorescence spectroscopy, and metagenomic analysis. The results demonstrated that in low-rank coal, increasing the clay content from 2.

Fatal Acute Intestinal Obstruction with Hemophagocytic Lymphohistiocytosis and Multiple Organ Failure in Adult-Onset Still's Disease: A Rare Case Report.

Background: Adult-onset Still's disease (AOSD) is a systemic autoinflammatory disorder characterized by unpredictable multi-organ involvement. Although gastrointestinal complications are uncommon in AOSD, they can be life-threatening and present significant diagnostic and management challenges.

Case Summary: We report the case of a 68-year-old man with AOSD who developed acute intestinal obstruction, a rare and critical complication.

A double-ionic macrocycle based on cyanostilbene: First organic fluorescence sensor based small molecular system for detecting cholesterol.

Cholesterol is an essential nutrient and an important biomarker for many diseases. While several analytical methods based on large-scale instruments and organic-inorganic hybrid quantum dots had been developed on examining cholesterol, the organic fluorescence sensor for rapid, simple and in-situ examining cholesterol have not been reported to date. In this work, a novel double-ionic macrocycle (DIM) based on cyanostilbene was designed and synthesized as the first organic fluorescence sensor based small molecular system for detecting cholesterol.

The long noncoding RNA CCDC144NL-AS1: prognosis significance and potential biological functions in cervical carcinoma.

Background: Recent research has shown that long noncoding RNA (lncRNA) performs a critical regulatory function across multiple malignancies. The involvement of RNA in the progression of multiple human cancer types has been elucidated; however, there is limited understanding regarding the importance of the lncRNA CCDC144NL-AS1 in cervical carcinoma (CC).

Methods: CCDC144NL-AS1 expression was measured in 86 CC samples by RT-PCR.

Interpretable multimodal deep learning model for predicting post-surgical international society of urological pathology grade in primary prostate cancer.

Purpose: To address heterogeneity in prostate cancer (PCa) pathological grading, we developed an interpretable multimodal fusion model integrating F prostate-specific membrane antigen (F-PSMA)-targeted positron emission tomography/computed tomography (F-PSMA-PET/CT) imaging features with clinical variables for predicting post-surgical ISUP grade (psISUP ≥ 4 vs. < 4).

Methods: This retrospective study analyzed 222 patients with PCa (2020-2024) undergoing F-PSMA PET/CT.

Proton Reservoir in Covalent Organic Framework Compensating Oxygen Reduction Reaction Enhances Hydrogen Peroxide Photosynthesis.

The water oxidation reaction (WOR) with sluggish kinetics usually fails to adequately furnish protons to oxygen reduction reaction (ORR), which ultimately constrains the overall efficiency of photocatalytic synthesis of HO, particularly in the absence of sacrificial agents. Herein, a class of hydroxyl groups (─OH) functionalized covalent organic framework (COF) is reported as a proton reservoir to compensate ORR for greatly improving the efficiency of HO photosynthesis. It has been demonstrated that the incorporation of ─OH into the TFBP-DHBD (TFBP: 1,2,4,5-tetrakis-(4-formylphenyl)benzene, DHBD: 3,3'-dihydroxybenzidine) COF can achieve a 3.

Migration of heavy metals and microbial metabolic regulation mechanisms in the co-fermentation of coal slime and sawdust.

Heavy metals (HMs) significantly affect the anaerobic fermentation of coal slime (CS), while sawdust serves as a promising substrate for methane bioconversion and an effective adsorbent for HMs. To explore the migration of HMs and improve the conversion efficiency of CS and sawdust to biomethane, experiments were conducted on the co-fermentation of CS and sawdust with different mass ratios. FT-IR, ICP-MS, SEM-EDS, and metagenomic sequencing were employed to elucidate the regulation mechanism of microorganisms after adding sawdust in altering the toxicological environment.

Sandwiching intermetallic PtFe and ionomer with porous N-doped carbon layers for oxygen reduction reaction.

Proton exchange membrane fuel cells show great potential as power source for automobiles, yet are now facing technological challenges of low efficiency in the cathodic oxygen reduction reaction and severe degradation from Nafion ionomers. Herein, we report the design and construction of a core/shell nanoparticle, composing of PtFe intermetallic nanoparticle as core and atomically-thin porous N-doped carbon layer as shell, to alleviate Nafion ionomer poisoning and local oxygen transport at the interfaces, thereby improving the performance of membrane electrode assemblies. Combining electrochemical, spectroscopic and calculation results verify that the sandwiching carbon layer can effectively prevent surface Pt active sites from poisoning by ionomers.

Modeling crash avoidance behaviors in vehicle-pedestrian near-miss scenarios: Curvilinear time-to-collision and Mamba-driven deep reinforcement learning.

Interactions between vehicle-pedestrian at intersections often lead to safety-critical situations. This study aims to model the crash avoidance behaviors of vehicles during interactions with pedestrians in near-miss scenarios, contributing to the development of collision avoidance systems and safety-aware traffic simulations. Unmanned aerial vehicles were leveraged to collect high-resolution trajectory data of vehicle-pedestrian at urban intersections.

Development and evaluation of a deep learning model for multi-frequency Gibbs artifact elimination.

Background: Gibbs artifacts frequently occur as a result of truncation in the frequency domain (k-space). Gibbs artifacts can degrade image quality and may be misinterpreted as syrinx, thereby complicating the diagnosis. This study aimed to develop and evaluate a robust deep learning (DL) model that eliminates multi-frequency Gibbs artifacts.