Effects of uniportal 3D video-assisted thoracic surgery lobectomy on postoperative pain and immune function in patients with NSCLC.

Objective: This study focused on comparing the efficacy of uniportal three-dimensional (3D) video-assisted thoracic surgery (VATS) lobectomy and traditional two-dimensional (2D) VATS lobectomy in patients with non-small cell lung cancer (NSCLC).

Methods: A retrospective analysis was performed on 84 NSCLC patients who underwent VATS lobectomy. Based on the type of thoracoscope used during surgery, patients were assigned to either the 3D group (n = 42), which received uniportal 3D VATS lobectomy, or the 2D group (n = 42), which underwent traditional 2D VATS lobectomy.

Verification is All You Need: Prompting Large Language Models for Zero-Shot Clinical Coding.

Clinical coding translates medical information from Electronic Health Records (EHRs) into structured codes such as ICD-10, which are essential for healthcare applications. Advances in deep learning and natural language processing have enabled automatic ICD coding models to achieve notable accuracy metrics on in-domain datasets when adequately trained. However, the scarcity of clinical medical texts and the variability across different datasets pose significant challenges, making it difficult for current state-of-the-art models to ensure robust generalization performance across diverse data distributions.

Unveiling Janus Chemical Processes in Contact-Electro-Chemistry through Oxygen Reduction Reactions.

Oxygen reduction reaction (ORR), operating via four-electron (HO) or two-electron (HO) pathways, underpins critical processes in energy conversion and biological metabolism. Solid-liquid contact electrification enables 2e ORR for both pollutant oxidation degradation and metal reduction without external metal catalysts. However, the criteria dictating oxidation versus reduction in such Janus contact-electro-chemistry (CE-Chemistry) systems remain unclear.

Pure red-cell aplasia after radioactive iodine treatment in a patient with papillary thyroid cancer and follow up for two years: a case report.

Acquired pure red cell aplasia (PRCA) has attracted more and more attention in hematology. PRCA usually caused by infection, autoimmune diseases, thymic carcinoma, or drugs, has not been reported by radioactive iodine. Here we report a case of PRCA after radioactive iodine therapies (two times, 100 mCi and 130 mCi each) in a patient with papillary thyroid carcinoma and follow up for two years.

Revealing the Role of Interfacial Charge Transfer in Mechanoluminescence.

Mechanoluminescence (ML) involves light emission induced by mechanical stress, categorized into triboluminescence (TL), piezoluminescence (PL), sonoluminescence (SL), and triboelectrification-induced electroluminescence (TIEL). The most common is TL, in which crystal fracture generates opposing charges that excite surrounding molecules. In PL, applied pressure induces light emission via charge recombination.

Novel Compound Heterozygous Variants in ZNF526 Causing Dentici-Novelli Neurodevelopmental Syndrome: A Case Report and Literature Review.

Background: The ZNF526 gene encodes a ubiquitously expressed Kruppel-type zinc finger protein crucial in transcriptional regulation. Recent studies suggest that biallelic pathogenic variants in ZNF526 may lead to Dentici-Novelli neurodevelopmental syndrome, characterized by microcephaly, developmental delay, epilepsy, and ocular anomalies. To date, phenotypic details have been reported for only six patients with ZNF526 variants.

Recent Progress of Chemical Reactions Induced by Contact Electrification.

Contact electrification (CE) spans from atomic to macroscopic scales, facilitating charge transfer between materials upon contact. This interfacial charge exchange, occurring in solid-solid (S-S) or solid-liquid (S-L) systems, initiates radical generation and chemical reactions, collectively termed contact-electro-chemistry (CE-Chemistry). As an emerging platform for green chemistry, CE-Chemistry facilitates redox, luminescent, synthetic, and catalytic reactions without the need for external power sources as in traditional electrochemistry with noble metal catalysts, significantly reducing energy consumption and environmental impact.

Nonaqueous Contact-Electro-Chemistry via Triboelectric Charge.

Mechanochemistry revolutionizes traditional reactions through mechanical stimulation, but its reaction efficiency is limited. Recent advancements in utilizing triboelectric charge from liquid-solid contact electrification (CE) have demonstrated significant potential in improving the reaction efficiency. However, its efficacy remains constrained by interfacial electrical double-layer screening in aqueous solutions.

Identification of a Novel Frameshift variant of the ATRX gene: a Case Report and Review of the genotype-phenotype relationship.

Background: X-linked intellectual disability-hypotonic facies syndrome-1 (MRXHF1) and Alpha-thalassemia X-linked intellectual disability (ATR-X) syndrome are caused by pathogenic variant in the ATRX gene, a member of the switch/sucrose non-fermentable (SWI-SNF) protein family that exhibits chromatin remodeling activity. These syndromes show a wide spectrum of clinical manifestations, such as distinctive dysmorphic features, mild-to-profound intellectual disability, motor development delay, seizures, urogenital abnormalities, and gastrointestinal disorders.

Case Presentation And Literature Review: A 3-year-old boy from a Chinese non-consanguineous family was diagnosed with MRXHF1 by whole-exome sequencing.

Triboiontronics with temporal control of electrical double layer formation.

The nanoscale electrical double layer plays a crucial role in macroscopic ion adsorption and reaction kinetics. In this study, we achieve controllable ion migration by dynamically regulating asymmetric electrical double layer formation. This tailors the ionic-electronic coupling interface, leading to the development of triboiontronics.

Ionic Rectification by Dynamic Regulation of the Electric Double Layer at the Hydrogel Interface.

Hydrogels play a pivotal role in the realm of iontronics, contributing to the realization of futuristic human-machine interactions. The electric double layer (EDL) between the hydrogel and electrode provides an essential ionic-electronic coupling interface. While prior investigations primarily delved into elucidating the formation mechanism of the EDL, our study shifts the focus to showcasing the current generation through the mechanical modulation of the EDL at the hydrogel-metal interfaces.

Raman spectrum combined with deep learning for precise recognition of Carbapenem-resistant Enterobacteriaceae.

Carbapenem-resistant Enterobacteriaceae (CRE) is a major pathogen that poses a serious threat to human health. Unfortunately, currently, there are no effective measures to curb its rapid development. To address this, an in-depth study on the surface-enhanced Raman spectroscopy (SERS) of 22 strains of 7 categories of CRE using a gold silver composite SERS substrate was conducted.

Association between abnormal lipid metabolism and tumor.

Metabolic Reprogramming is a sign of tumor, and as one of the three major substances metabolism, lipid has an obvious impact. Abnormal lipid metabolism is related to the occurrence of various diseases, and the proportion of people with abnormal lipid metabolism is increasing year by year. Lipid metabolism is involved in the occurrence, development, invasion, and metastasis of tumors by regulating various oncogenic signal pathways.

Selenium and thyroid diseases.

Selenium, a non-metallic element, is a micronutrient essential for the biosynthesis of selenoproteins containing selenocysteine. In adults, the thyroid contains the highest amount of selenium per gram of tissue. Most known selenoproteins, such as glutathione peroxidase, are expressed in the thyroid and are involved in thyroid hormone metabolism, redox state regulation, and maintenance of cellular homeostasis.

Raman spectroscopy combined with deep learning for rapid detection of melanoma at the single cell level.

Melanoma is an aggressive and metastatic skin cancer caused by genetic mutations in melanocytes, and its incidence is increasing year by year. Understanding the gene mutation information of melanoma cases is very important for its precise treatment. The current diagnostic methods for melanoma include radiological, pharmacological, histological, cytological and molecular techniques, but the gold standard for diagnosis is still pathological biopsy, which is time consuming and destructive.

Standardized measurement of dielectric materials' intrinsic triboelectric charge density through the suppression of air breakdown.

Triboelectric charge density and energy density are two crucial factors to assess the output capability of dielectric materials in a triboelectric nanogenerator (TENG). However, they are commonly limited by the breakdown effect, structural parameters, and environmental factors, failing to reflect the intrinsic triboelectric behavior of these materials. Moreover, a standardized strategy for quantifying their maximum values is needed.

Fast Synthesis of Au Nanoparticles on Metal-Phenolic Network for Sweat SERS Analysis.

The biochemical composition of sweat is closely related to the human physiological state, which provides a favorable window for the monitoring of human health status, especially for the athlete. Herein, an ultra-simple strategy based on the surface-enhanced Raman scattering (SERS) technique for sweat analysis is established. Metal-phenolic network (MPN), an outstanding organic-inorganic hybrid material, is adopted as the reductant and platform for the in situ formation of Au-MPN, which displays excellent SERS activity with the limit of detection to 10 M for 4-mercaptobenzoic acid (4-MBA).

Combining fiber optical tweezers and Raman spectroscopy for rapid identification of melanoma.

Cutaneous melanoma is a skin tumor with a high degree of malignancy and fatality rate, the incidence of which has increased in recent years. Therefore, a rapid and sensitive diagnostic technique of melanoma cells is urgently needed. In this paper, we present a new approach using fiber optical tweezers to manipulate melanoma cells to measure their Raman spectra.

Achieving Ultrahigh Effective Surface Charge Density of Direct-Current Triboelectric Nanogenerator in High Humidity.

As an emerging energy-harvesting technology, the triboelectric nanogenerator (TENG) is considered a powerful driving force toward the new-era of Internet of Things and artificial intelligence, but its output performance is dramatically influenced by environmental humidity. Herein, a direct current TENG (DC-TENG) based on the triboelectrification effect and electrostatic breakdown is reported to address the problem of output attenuation in high humidity environments for the conventional TENGs. It is found that high humidity not only enhances the sliding triboelectrification effect of hydrophobic triboelectric materials, but also promotes the electrostatic breakdown process for DC-TENG, thus contributing to the improvement of DC-TENG output.

A Tuning-Fork Triboelectric Nanogenerator with Frequency Multiplication for Efficient Mechanical Energy Harvesting.

As a new technology for high-entropy energy harvesting, a triboelectric nanogenerator (TENG) has broad applications in sensor networks and internet of things as a power source, but its average power density is limited by the fixed low-frequency output. Here, a frequency-multiplication TENG based on intrinsic high frequency of tuning fork is proposed which enables converting low-frequency mechanical energy into high-frequency electric energy. A tuning-fork TENG is used to systematically study the effects of intrinsic frequency, dielectric's thickness, and gap distance on its electric performance, and a total transferred charges of 4.

Facile synthesis of Ag-niobium ditelluride nanocomposites for the molecular fingerprint analysis of muscle tissues.

The surface-enhanced Raman scattering (SERS) technique has attracted increasing attention in biomedicine due to the capability of providing the molecular fingerprint information of biosamples. Two-dimensional (2D) metal nanohybrids have proven to be efficient SERS substrates for bioanalysis due to the cooperative Raman enhancement mechanism. Herein, a facile strategy for the fabrication of a novel transition metal telluride-based 2D-metal SERS substrate is proposed.

A Self-Powered Dual-Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles.

Automatic control systems are the most efficient technology for reducing labor cost while improving work efficiency. Vector motion monitoring is indispensable for the normal operation of automatic control systems. Here, a self-powered dual-type signal triboelectric nanogenerator (DS-TENG) is designed through integrating an alternating-current TENG and a direct-current TENG, which can monitor vector movement in real time based on pulse signal counts.

[Clinical and genetic analysis of three children patients with Kleefstra syndrome].

Objective: To explore the genetic basis of three children with unexplained developmental delay/intellectual disability (DD/ID).

Methods: Peripheral blood samples were collected from the patients and subjected to chromosomal microarray analysis (CMA).

Results: Patient 1 was found to harbor a 190 kb deletion at 9q34.

Rapid identification of the resistance of urinary tract pathogenic bacteria using deep learning-based spectroscopic analysis.

The resistance of urinary tract pathogenic bacteria to various antibiotics is increasing, which requires the rapid detection of infectious pathogens for accurate and timely antibiotic treatment. Here, we propose a rapid diagnosis strategy for the antibiotic resistance of bacteria in urinary tract infections (UTIs) based on surface-enhanced Raman scattering (SERS) using a positively charged gold nanoparticle planar solid SERS substrate. Then, an intelligent identification model for SERS spectra based on the deep learning technique is constructed to realize the rapid, ultrasensitive, and non-labeled detection of pathogenic bacteria.

Selection rules of triboelectric materials for direct-current triboelectric nanogenerator.

The rapid development of Internet of Things and artificial intelligence brings increasing attention on the harvesting of distributed energy by using triboelectric nanogenerator (TENG), especially the direct current TENG (DC-TENG). It is essential to select appropriate triboelectric materials for obtaining a high performance TENG. In this work, we provide a set of rules for selecting the triboelectric materials for DC-TENG based on several basic parameters, including surface charge density, friction coefficient, polarization, utilization rate of charges, and stability.