Influence of Different Shaping Techniques on the Aroma Quality and Volatile Metabolites of Green Tea Revealed by Gas Chromatography Electronic Nose and Gas Chromatography-Tandem Mass Spectrometry.

The shaping process is recognized as a crucial step in the manufacturing of green tea. However, its influence on aroma quality remains unclear. In this study, the effects of four shaping techniques, including flat green tea (FGT), straight green tea (SGT), phoenix green tea (PGT), and curled green tea (CGT), on the aroma quality and volatile metabolites of green tea were investigated by gas chromatography electronic nose (GC-E-Nose) and gas chromatography-tandem mass spectrometry (GC-MS/MS).

Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients.

The objective of this work is to develop a framework based on large language models (LLMs) to predict postoperative acute kidney injury (AKI) outcomes in elderly patients. Our study demonstrates that LLMs have the potential to address the issues of poor generalization and weak interpretability commonly encountered in disease prediction using traditional machine learning (ML) models. AKI is a severe postoperative complication, especially in elderly patients with declining renal function.

Prevalence, incidence and modifiable factors for subtypes of mild cognitive impairment: results from the Longitudinal Ageing Study in China.

Background: As the population in China rapidly ages, the prevalence of mild cognitive impairment (MCI) is increasing considerably. However, the causes of MCI vary. The continued lack of understanding of the various subtypes of MCI impedes the implementation of effective measures to reduce the risk of advancing to more severe cognitive diseases.

Clinical Outcomes of Hospitalized Immunocompromised Patients With COVID-19 and the Impact of Hyperinflammation: A Retrospective Cohort Study.

Purpose: Immunocompromised patients are at increased risk for severe outcomes from COVID-19 due to their altered immune responses, yet their inflammatory profiles and the interplay between immunosuppression remain poorly understood. We aimed to illustrate the inflammation profile and clinical outcomes of hospitalized immunocompromised patients with COVID-19.

Methods: We conducted a retrospective study using a multicenter database and included adult hospitalized patients with Corona virus disease 2019 (COVID-19) in China's late 2022 COVID-19 wave.

Treatments for obstructive hydrocephalus secondary to malignant midline intracranial tumors during the perioperative period - a retrospective study of 372 pediatric patients from a single institution.

Objective: Common treatments for obstructive hydrocephalus caused by malignant midline intracranial tumors during the perioperative period include ventriculoperitoneal shunt (VPS) placement, endoscopic third ventriculostomy (ETV), and direct tumor resection. The purpose of this study is to determine whether it is necessary to treat hydrocephalus before tumor resection and to clarify which treatment is most effective.

Methods: Data from 372 pediatric patients (under 18 years) with obstructive hydrocephalus due to malignant midline intracranial tumors, referred to the Department of Pediatric Neurosurgery at Beijing Tiantan Hospital between January 2018 and September 2019, were collected.

Magnetic exchange interaction between unpaired π- and d-electrons in nanographene-metal coordination complexes.

The combination of open-shell nanographenes (NGs) and magnetic transition metals holds great promise for generating various new quantum phases applicable in spintronics and quantum information technologies. However, a crucial aspect in accomplishing this is to comprehend the magnetic exchange interactions between unpaired π- and d-electrons, a topic that has been seldom addressed. In this study, we focus on magnetic π-d exchange interactions between open-shell NGs and a magnetic coordination center of Fe or Co by employing scanning tunneling microscopy and spectroscopy.

Power-free knee rehabilitation robot for home-based isokinetic training.

Robot-assisted isokinetic training has been widely adopted for knee rehabilitation. However, existing rehabilitation facilities are often heavy, bulky, and extremely energy-consuming, which limits the rehabilitation opportunities only at designated hospitals. In this study, we introduce a highly integrated and lightweight (52 kg) knee rehabilitation robot that can provide home-based isokinetic training without external power.

Effectiveness, safety, and patterns of use of camrelizumab in advanced esophageal cancer: an individual patient data pooled analysis of 987 patients from three prospective cohort studies.

Background And Aims: This individual patient data pooled analysis aimed to evaluate the effectiveness, safety, and patterns of use of camrelizumab in a large cohort of advanced esophageal cancer (AEC) patients.

Approach And Results: Adult patients (≥ 18 years) who had received camrelizumab as part of AEC treatment were pooled from three independent, prospective observational cohort studies (NCT04616040, ChiCTR1900027275, and ChiCTR2000039499). The main outcomes were patterns of camrelizumab use, progression-free survival (PFS), overall survival (OS), and safety in the overall population and specific subgroups of underrepresented patients.

Healthy dietary patterns in relation to cognitive performance and Alzheimer's disease mortality.

Background: Dietary factors play a major role in cognitive aging, but few studies have assessed and compared the associations between specific dietary patterns and Alzheimer's disease (AD) mortality.

Methods: We included 27,773 U.S.

Search for MeV-Scale Axionlike Particles and Dark Photons with PandaX-4T.

Axionlike particles (ALPs) and dark photons (DPs) are viable dark matter particle candidates. We have searched for possible ALP/DP signals in the PandaX-4T liquid xenon detector using 440  kg·yr of data. A binned likelihood fit is constructed to search for possible mono-energetic peaks induced by the absorption processes between ALPs/DPs and atomic electrons of xenon.

Vibration Analysis of Al-AlO Micro-Cantilever Sandwich Beams with Porosity in Fluids.

The vibration of porous Al-AlO micro-cantilever sandwich beams in fluids was studied utilizing the modified couple stress theory and the scale distribution theory (MCST and SDT). Four types of porosity distributions were defined; the uniform distribution of pores was defined as U-type, while O-type, V-type and X-type represented non-uniform distributions of pores. The material properties of different porous sandwich beams were calculated.

Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Predictive biomarker identification in cancer treatment has traditionally relied on pre-defined analyses, limiting discoveries to expected biomarkers and potentially overlooking novel ones predictive of therapy response. In this work, we develop a novel machine-learning approach capable of exploring full landscape of mutations and combinations and identify potentially new predictive biomarkers for chemoimmunotherapy. Utilizing the liquid biopsy dataset from 313 non-small cell lung cancer (NSCLC) patients in the Phase 3 Impower150 trial (NCT02366143), we developed the HRdiffRF algorithm with a novel hazard ratio-splitting criterion.

Mitigating Cellular Dysfunction Through Contaminant Reduction in Synthetic circRNA for High-Efficiency mRNA-Based Cell Reprogramming.

Synthetic circular RNA (circRNA) holds great promise for biomedical research and therapeutic applications, but impurities introduced during synthesis trigger innate immune responses and significantly compromise its efficacy. In this study, key immunogenic byproducts, including double-stranded RNA, 5' triphosphates from uncircularized RNA, and hydrolyzed RNA fragments, are identified as impairing circRNA functionality via RNA-sensing pathways. To address this, a multi-step purification process is developed that combines enzymatic treatments and cellulose-based filtration to effectively remove these contaminants.

Altered spatiotemporal consistency and their genetic mechanisms in mild cognitive impairment: a combined neuroimaging and transcriptome study.

The Four-dimensional (spatiotemporal) Consistency of local Neural Activities (FOCA) metric was utilized to assess spontaneous whole-brain activity. Despite its application, the genetic underpinnings of FOCA alterations in Alzheimer's Disease (AD)-related Mild Cognitive Impairment (MCI) remain largely unexplored. To elucidate these changes, we analyzed group FOCA differences in 41 MCI patients and 46 controls from the Alzheimer's Disease Neuroimaging Initiative database.

Twist Angle-Dependent Exciton Mobility in WS Bilayers.

Bilayer WS shows exceptional promise for excitonic devices due to its defect tolerance, high carrier density, and angle-tunable electronic properties. However, fundamental understanding of twist angle-dependent exciton transport remains limited due to challenges in sample preparation and interplays between interlayer coupling and moiré potential. Using transient reflection microscopy (TRM), we systematically studied exciton mobility in chemical vapor deposition-grown (CVD-grown) bilayer WS with different twist angles.

Optimization of l-Fucose Biosynthesis in through Pathway Engineering and Mixed Carbon Source Strategy.

This study presents an engineered strain of specifically designed to enhance the production of l-fucose while minimizing residues of 2'-fucosyllactose. The optimization strategies employed include the selection of key enzymes, optimization of gene copy numbers, and fermentation using mixed carbon sources. The metabolic flux was directed toward l-fucose synthesis by integrating preferred 1,2-fucosyltransferase and α-l-fucosidase into the genome.

EasyMetagenome: A user-friendly and flexible pipeline for shotgun metagenomic analysis in microbiome research.

Shotgun metagenomics has become a pivotal technology in microbiome research, enabling in-depth analysis of microbial communities at both the high-resolution taxonomic and functional levels. This approach provides valuable insights of microbial diversity, interactions, and their roles in health and disease. However, the complexity of data processing and the need for reproducibility pose significant challenges to researchers.

Gut microbiota in treating inflammatory digestive diseases: Current challenges and therapeutic opportunities.

Accumulating evidence indicates that the gut microbiota is intricately involved in the initiation and progression of human diseases, forming a multidirectional regulatory axis centered on intestinal microbiota. This article illustrates the challenges in exploring the role of the gut microbiota in inflammatory digestive diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD) and inflammatory bowel disease (IBD), and summarizes the existing microbiome-focused treatment strategies (probiotics, prebiotics, symbiotics, fecal microbiota transplantation, and bacteriophages therapy), emerging technologies (gut microbiome-on-a-chip and artificial intelligence), as well as possible future research directions. Taken together, these therapeutic strategies and technologies present both opportunities and challenges, which require researchers and clinicians to test the rationality and feasibility of various therapeutic modalities in continuous practice.

Association Between Serum Uric Acid to High-Density Lipoprotein Cholesterol Ratio and Pneumonia After Endovascular Treatment of Vertebrobasilar Artery Occlusion.

Background: The uric acid to high-density lipoprotein cholesterol ratio (UHR) is a novel marker of inflammation and metabolism. We aimed to explore the association of UHR with pneumonia after endovascular thrombectomy (EVT) in patients with vertebrobasilar artery occlusion (VBAO).

Methods: We retrospectively enrolled participants diagnosed with acute VBAO treated with EVT within 24 hours of estimated occlusion time from the multicenter PERSIST study.

Nasal delivery of secretory IgA confers enhanced neutralizing activity against Omicron variants compared to its IgG counterpart.

SARS-CoV-2 and its multiple variants continue to spread worldwide, causing respiratory symptoms primarily through mucosal infection. The mucosa serves as the primary barrier against viral entry, in which secretory immunoglobulin A (sIgA) plays a critical role in preventing infection. Here, we engineered and characterized a neutralizing monoclonal antibody ZW2G10 in IgG, monomeric, dimeric, secretory IgA1 and IgA2 formats.

Search for Magnetic Monopole Pair Production in Ultraperipheral Pb+Pb Collisions at sqrt[s_{NN}]=5.36 TeV with the ATLAS Detector at the LHC.

This Letter presents a search for highly ionizing magnetic monopoles in 262  μb^{-1} of ultraperipheral Pb+Pb collision data at sqrt[s_{NN}]=5.36  TeV collected by the ATLAS detector at the LHC. A new methodology that exploits the properties of clusters of hits reconstructed in the innermost silicon detector layers is introduced to study highly ionizing particles in heavy-ion data.

Clematichinenoside AR alleviates rheumatoid arthritis by inhibiting synovial angiogenesis through the HIF-1α/VEGFA/ANG2 axis.

Background: Clematichinenoside AR (CAR) is an effective monomer component of Clematis chinensis Osbeck, which has therapeutic effects on rheumatoid arthritis (RA), but its specific mechanism is still not fully elucidated.

Purpose: This study elucidated whether CAR alleviated RA by inhibiting synovial angiogenesis and revealed its molecular mechanism.

Methods: Arthritis indicators and H&E staining were used to evaluate the therapeutic effects of CAR on collagen-induced arthritis (CIA) rats, and the IHC, IF, EdU-Hoechst, tunel, flow cytometry, wound healing and transwell assay were used to investigate the effects of CAR on synovial angiogenesis.

Fe-doped TiO nanosheet exposure accelerates the spread of antibiotic resistance genes by promoting plasmid-mediated conjugative transfer.

The widespread dissemination of antibiotic resistance genes (ARGs) via plasmid-mediated conjugation poses a serious threat to public health. Conjugation can be accelerated by selective pressures caused by antibiotics and other environmental pollutants. Fe-doped TiO nanosheets (FTNs) are widely used for the photocatalytic treatment of wastewater, raising concerns about their potential presence in the environment and their role in exerting selective pressure on conjugation.

Converting Light Into Programmable Temperatures via Janus Hydrogels for Passive Infrared Thermography.

Passive thermal management saves energy using natural processes but struggles with precise temperature control in variable environments. This study designs and synthesizes temperature-programmable hydrogels (TPH) based on a bilayer polyvinyl alcohol network with tunable passive heating capacity. The TPH features an upper layer with adjustable transmittance (6.

Safety, pharmacokinetics and efficacy of HA121-28 in patients with advanced solid tumors and RET fusion-positive non-small-cell lung cancer: a multicenter, open-label, single-arm phase 1/2 trial.

HA121-28, a promising multikinase inhibitor, mainly targets rearranged during transfection (RET) fusions and selectively targets vascular endothelial growth factor receptor-2, endothelial growth factor receptor, and fibroblast growth factor receptor 1-3. The safety, pharmacokinetics, and efficacy of HA121-28 were assessed in advanced solid tumors (phase 1, ClinicalTrials.gov NCT03994484) and advanced RET fusion-positive non-small-cell lung cancer (RET-TKI naive NSCLC, phase 2, ClinicalTrials.