Machine learning-based predictive model for acute pancreatitis-associated lung injury: a retrospective analysis.

Background: Acute Pancreatitis-Associated Lung Injury (APALI) is one of the most severe and life-threatening systemic complications in acute pancreatitis patients, with high rates of morbidity and mortality. This study aims to develop a prediction model for the diagnosis of APALI based on machine learning algorithms.

Methods: This study included data from the First Affiliated Hospital of Bengbu Medical College (July 2012 to June 2022), which were randomly categorized into the training and testing set.

An Explainable Two-Stage Machine Learning Model for Predicting the Post-Thrombolysis Complications in Stroke Patients: A Multi-Center Study.

Current tools for predicting the thrombolysis risk in patients after stroke exhibit limited event prediction in early post-thrombolysis hemorrhagic events. This highlights an unmet medical need to improve the tools for stroke management. We developed an explainable 2-stage machine learning model for stroke risk stratification to predict the risk of bleeding, composite complications, and all-cause death in patients before and after thrombolysis therapy.

Scenario-based projections of electricity prices in China's carbon-neutral transition.

China's carbon neutrality goal by 2060 presents major challenges and opportunities for its electricity market. This study analyzes baseline, low-efficiency, and high-efficiency scenarios to represent potential decarbonization pathways in China up to 2060, aiming to estimate the range of electricity prices for each province. A comprehensive dataset covering 5680 coal power units, 342 hydroelectric plants, 172 gas power stations, 19 nuclear power stations, and various solar and wind farms, provides a solid foundation for a bottom-up calculation approach.

Visceral adipose tissue in the lesser omentum predicts lymphovascular invasion, perineural invasion and survival in gastric cancer.

Background: Visceral adipose tissue is associated with clinical outcomes in patients with cancer. This study aimed to investigate the relationship between preoperative visceral adipose tissue in the lesser omentum and clinical prognosis, as well as lymphovascular invasion (LVI) and perineural invasion (PNI), in patients with gastric cancer (GC).

Patients And Methods: A total of 943 GC patients who underwent radical surgery across three centers in China were included in the study.

A Nomogram Incorporating Intermuscular Adipose Tissue to Predict Chemotherapy Toxicity in Older Adults With Early-Stage Breast Cancer.

Purpose: Recent studies have shown that intermuscular adipose tissue (IMAT) is a significant prognostic factor for breast cancer. To date, no clinical studies have investigated whether IMAT can be used to predict chemotherapy toxicity in older adult patients with early-stage breast cancer.

Methods: We included 304 patients diagnosed with stage I-III breast cancer between January 2020 and December 2022 in Harbin Medical University Cancer Hospital.

Gellan gum regulated high-moisture extruded soy protein: Texture and structure.

Single-material systems high-moisture extrudates have limitations regarding texture and digestibility; however, biphasic material systems can effectively regulate and improve the properties of the extrudates. This study subjected soy protein isolate (SPI) and gellan gum (GG) mixtures with varying mass ratios to high-moisture extrusion (HME), systematically characterizing the morphology, texture, structural characteristics, rheological behavior, digestive properties, and moisture properties of the extrudates. The findings indicated that with an appropriate addition of GG, the anisotropy index of the extrudates achieved up to 1.

High-moisture soy protein extrudates with different moisture contents: Texture, structure, and in vitro digestion characteristics.

High-moisture extrusion (HME) is a promising physical modification method that is extensively used to create fibrous meat analogs from plant-based proteins, attracting considerable research interest. Although a substantial amount of existing research has focused on HME with moisture contents between 60 % and 65 %, investigations of HME with moisture contents ranging from 70 % to 75 % are limited. This study examined the effects of extrusion modification with varying moisture contents (55-75 %) on the textural, structural, and digestive properties of soy protein isolate (SPI).

Artificial intelligence based multispecialty mortality prediction models for septic shock in a multicenter retrospective study.

Septic shock is one of the most lethal conditions in ICU, and early risk prediction may help reduce mortality. We developed a TOPSIS-based Classification Fusion (TCF) model to predict mortality risk in septic shock patients using data from 4872 ICU patients from February 2003 to November 2023 across three hospitals. The model integrates seven machine learning models via the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), achieving AUCs of 0.

Probabilistic memory auto-encoding network for abnormal behavior detection in surveillance video.

Abnormal behavior detection in surveillance video, as one of the essential functions in the intelligent surveillance system, plays a vital role in anti-terrorism, maintaining stability, and ensuring social security. Aiming at the problem of extremely imbalance between normal behavior data and abnormal behavior data, the probabilistic memory model-based network is designed to learn from the distribution of normal behaviors and guide the detection of abnormal behavior. An auto-encoding model is employed as the backbone network, and the gap between the predicted future frame and the real frame is used to measure the degree of abnormality.

Glimepiride/hydroxypropyl-β-cyclodextrin inclusion compound: preparation, characterization, and evaluation.

Objective: To enhance solubility and bioavailability of GM, an inclusion compound of glimepiride/hydroxypropyl-β-cyclodextrin (GM/HP-β-CD) was prepared using mechanical ball milling.

Significance: Based on response surface optimization for the ball milling preparation of the inclusion compound, this study investigates its and release and pharmacokinetics.

Methods: GM/HP-β-CD inclusion compound was prepared by optimized ball milling based on response surface methodology and characterized using powder x-ray diffraction, differential scanning calorimetry, scanning electron microscopy, and Fourier transform infrared spectroscopy, and the stability of the compound was studied.

Amyloid fibrils from black kidney bean protein self-assemble into hydrogels: Impact of heating time on gel structure and rheological properties.

Fibrillation of plant proteins is a promising approach to enhance their gel properties. In this study, black kidney bean protein isolate self-assembled into amyloid fibrils and subsequently formed hydrogels at a concentration of 2.0 wt% after thermal treatment at pH 2.

Transcriptional profiling of exosomes derived from serum of patients with rare earth pneumoconiosis by RNA-sequencing and PI3K/Akt pathway is activated in lung of mice exposed to rare earth NdO.

Rare earth is used extensively around the world, and rare earth particles cause a respiratory disease in workers termed rare earth pneumoconiosis(REP) that have attracted considerable attention. However, the mechanisms of REP, characterized by diffuse pulmonary fibrosis, are elusive. REP progression involves various signaling pathway networks comprising numerous cell types and cytokines.

Insights into photoaging behaviors and mechanisms of biodegradable and conventional microplastics in soil.

Understanding the photoaging dynamics of biodegradable and conventional microplastics (MPs) is crucial due to their widespread environmental risks. However, studies on the photoaging behaviors of different MPs in soil ecosystems are limited. This study focused on two representative MPs, conventional polyethylene (PE) and biodegradable poly(butylene adipate-co-terephthalate) (PBAT), examining their photoaging processes in soil.

Molecular properties of dissolved organic matter leached from microplastics during photoaging process.

The occurrence of dissolved organic matter (DOM) derived from microplastics (MPs) and its effect on aquatic systems has attracted great interest recently. However, the photoaging effect on the molecular structure of MP-derived DOM (MP-DOM) remains unclear. This paper presents the characteristics of DOM leached from three commercial MPs, i.

Risk Factors and VEGF, hs-CRP, and ESR in Central Serous Chorioretinopathy.

Objective: This study aimed to investigate the risk factors associated with central serous chorioretinopathy (CSC) and analyze the relationship between vascular endothelial growth factor (VEGF), high-sensitivity C-reactive protein (hs-CRP), erythrocyte sedimentation rate (ESR), and CSC.

Methods: A total of 109 patients diagnosed with CSC (CSC group) at our ophthalmology clinic from February 2017 to February 2021 were included, with 103 volunteers from our hospital's health examination center serving as the control group. Additionally, the new multimodal imaging classification of 109 CSC patients was further divided into simple CSC (57 cases) and complex CSC (52 cases).

The impact of empowerment theory-based health education on Alzheimer's disease informal caregivers: a randomized controlled trial.

Background: There is a lack of evidence regarding the effectiveness of empowerment healthy education for caregivers of Alzheimer's patients.

Objective: To explore the effectiveness of the intervention of health education guided by empowerment theory on dementia knowledge, caregiving readiness, positive caregiving emotions, anxiety, and depression in informal Alzheimer's disease caregivers.

Design: A single-blinded, randomized controlled trial.

Association between Dietary Acid Load and Chronic Kidney Disease in the Chinese Population: A Comprehensive Analysis of the China Health and Nutrition Survey (2009).

Background: Dietary acid load (DAL) is closely related to several chronic diseases. However, the link between DAL and chronic kidney disease (CKD) remains scarce and without data from the Chinese populations whose diet is quite different from people in Western countries.

Methods: This study evaluated DAL by potential renal acid load (PRAL) and net endogenous acid production (NEAP).

Nanophotonic Bragg grating assisted Mach-Zehnder interferometers for O-band add-drop filters.

Spectral filters are fundamental building blocks in integrated photonics. Bragg grating filters have been demonstrated in silicon waveguides with a wide range of spectral responses and are suitable for wavelength division multiplexing applications. However, retrieving Bragg grating reflections typically requires external components such as fiber optic circulators.

LncRNA SNHG5/IGF2BP1/Occludin axis regulates NdO induced blood-testis barrier disruption.

Neodymium oxide (NdO) is a rare earth element that can lead to various type of tissue and organ damage with prolonged exposure. The long noncoding RNA small nucleolar ribonucleic acid host gene 5 (lncRNA SNHG5) plays a role in disease progressiong. However, its connection with NdO induced reproductive harm in males has not been thoroughly investigated.

Memristor-based adaptive neuromorphic perception in unstructured environments.

Efficient operation of control systems in robotics or autonomous driving targeting real-world navigation scenarios requires perception methods that allow them to understand and adapt to unstructured environments with good accuracy, adaptation, and generality, similar to humans. To address this need, we present a memristor-based differential neuromorphic computing, perceptual signal processing, and online adaptation method providing neuromorphic style adaptation to external sensory stimuli. The adaptation ability and generality of this method are confirmed in two application scenarios: object grasping and autonomous driving.

Development and validation of a prediction model for frailty in breast cancer patients with extended survival.

Background: Breast cancer (BC) patients with extended survival show a higher incidence of frailty. This study aimed to develop and validate a novel model combining sociodemographic factors (SF) and disease-related factors (DRF) to identify frailty in BC patients with extended survival.

Methods: This cross-sectional study examined data from 1167 patients admitted to a large urban academic medical centre.

A multihole nozzle controls recrystallization of high-moisture extruded maize starches: Effect of cooling die temperature.

Hot extrusion is utilized for starch modification due to its high mechanical input and product output. Amylose recrystallization commences and primarily depends on intermolecular interactions after conventional extrusion. Hence, the design of a new component based on the existed extrusion system was aimed at facilitating molecular aggregation, potentially accelerating starch recrystallization.

Biodegradation of aged polyethylene (PE) and polystyrene (PS) microplastics by yellow mealworms (Tenebrio molitor larvae).

Globally, over 287 million tons of plastic are disposed in landfills, rivers, and oceans or are burned every year. The results are devastating to our ecosystems, wildlife and human health. One promising remedy is the yellow mealworm (Tenebrio molitor larvae), which has proved capable of degrading microplastics (MPs).

Transglutaminase cross-linking ovalbumin-flaxseed oil emulsion gels: Properties, microstructure, and performance in oxidative stability.

This study prepared emulsion gels by modifying ovalbumin (OVA)-flaxseed oil (FSO) emulsions with transglutaminase (TGase) and investigated their properties, structure and oxidative stability under different enzyme reaction times. Here, we found prolonged reaction times led to the transformation of α-helix and β-turn into β-sheet and random coil. The elasticity, hardness and water retention of the emulsion gels increased significantly, but the water-holding capacity decreased when the reaction time exceeded 4 h.