A novel hybrid PSO-MIDAS model and its application to the U.S. GDP forecast.

In this study, the traditional lag structure selection method in the Mixed Data Sampling (MIDAS) regression model for forecasting GDP was replaced with a machine learning approach using the particle swarm optimization algorithm (PSO). The introduction of PSO aimed to automatically optimize the MIDAS model's mixed-frequency lag structures, improving forecast accuracy and resolving the "forecast accuracy" and "forecast cost" weighting problem. The Diebold-Mariano test results based on U.

Precision-Engineered Construction of Proton-Conducting Metal-Organic Frameworks.

Proton-conducting materials have attracted considerable interest because of their extensive application in energy storage and conversion devices. Among them, metal-organic frameworks (MOFs) present tremendous development potential and possibilities for constructing novel advanced proton conductors due to their special advantages in crystallinity, designability, and porosity. In particular, several special design strategies for the structure of MOFs have opened new doors for the advancement of MOF proton conductors, such as charged network construction, ligand functionalization, metal-center manipulation, defective engineering, guest molecule incorporation, and pore-space manipulation.

Value of metagenomic next-generation sequencing in the diagnosis of native pyogenic spinal infections: a multicenter, retrospective observational study.

Background Context: The etiological diagnosis of pyogenic spinal infection is crucial for its precise antibiotic treatment. Traditional methods of detection are often slow and ineffective. In recent times, metagenomic next-generation sequencing (mNGS) has revolutionized pathogen detection, offering a more effective approach to disease management.

Analyzing the interaction between time to surgery and tumor burden score in hepatocellular carcinoma.

Background: The effect of "time to surgery (TTS)" on outcomes for curative-intent hepatectomy of hepatocellular carcinoma (HCC) remains debated. The interaction between tumor burden score (TBS) and TTS remains unclear. We sought to evaluate the effects of TBS and TTS on long-term HCC outcomes.

AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks.

With the rapid development of artificial intelligence, deep learning has been widely applied to complex tasks such as computer vision and natural language processing, demonstrating its outstanding performance. This study aims to exploit the high precision and efficiency of deep learning to develop a system for the identification of pollen. To this end, we constructed a dataset across 36 distinct genera.

Cytokine release syndrome caused by immune checkpoint inhibitors: a case report and literature review.

Immune checkpoint inhibitors (ICIs) have gained widespread application in the treatment of malignant tumors. Cytokine release syndrome (CRS) is a systemic inflammatory response triggered by various factors, including infections and immunotherapy. We present a case of CRS occurring in a gastric cancer patient after receiving combination therapy of tislelizumab, anlotinib and combination of capecitabine and oxaliplatin.

Improving Recurrence Prediction in Intrahepatic Cholangiocarcinoma: The Synergistic Impact of the FIB-4 Index and Tumor Burden Score on Post-hepatectomy Outcomes.

Background: The prognostic role of the fibrosis-4 (FIB-4) index relative to intrahepatic cholangiocarcinoma (ICC) after hepatectomy remains unclear. This study sought to characterize the impact of the FIB-4 index and tumor burden score (TBS) on recurrence and overall survival (OS).

Methods: ICC patients undergoing hepatectomy (2000-2020) were identified using a multi-institutional database.

A Novel Liver Metastasis Score for Patients Undergoing Surgical Resection of Gastroenteropancreatic Neuroendocrine Tumors: A Multi-institutional Study.

Background: Liver metastasis impacts survival in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs); however, current guidelines lack consensus on post-resection surveillance and adjuvant therapy. A comprehensive risk stratification tool is needed to guide personalized management.

Objective: We aimed to develop and validate a predictive model for liver metastasis risk after surgical resection of GEP-NETs that incorporates pathological factors and adjuvant therapy.

Upfront surgery for intrahepatic cholangiocarcinoma: Prediction of futility using artificial intelligence.

Objective: We sought to identify patients at risk of "futile" surgery for intrahepatic cholangiocarcinoma using an artificial intelligence (AI)-based model based on preoperative variables.

Methods: Intrahepatic cholangiocarcinoma patients who underwent resection between 1990 and 2020 were identified from a multi-institutional database. Futility was defined either as mortality or recurrence within 12 months of surgery.

An Injection Molded SlipChip with Self-Sampling for Integrated Point-of-Care Testing of Human Papilloma Virus.

High-risk human papillomavirus (HPV) screening is crucial for cervical cancer prevention. However, laboratory-based nucleic acid amplification tests (NAATs) require costly equipment, designated lab space, and skilled personnel. Additionally, cervical swabs collected by healthcare professionals can be inconvenient, uncomfortable, and reduce privacy, limiting broader application and patient compliance.

In-situ DRIFTS insights into the evolution of surface functionality of biochar upon thermal air oxidation.

Biochar surface functionality is crucial for its application. Herein, the evolution of biochar surface functionality upon thermal air oxidation (TAO) was investigated in-situ by diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and thermogravimetric analysis (TGA). The results show that, although the surface functionality of biochar is remarkably changed during TAO at the initial low temperature range, the biochar weight is still stable in the initial low temperature range, suggesting the chemisorption of O as intermediate oxygenated functional groups (OFGs) on biochar surface.

The functional role of m6A demethylase ALKBH5 in cardiomyocyte hypertrophy.

Cardiomyocyte hypertrophy is a major outcome of pathological cardiac hypertrophy. The m6A demethylase ALKBH5 is reported to be associated with cardiovascular diseases, whereas the functional role of ALKBH5 in cardiomyocyte hypertrophy remains confused. We engineered Alkbh5 siRNA (siAlkbh5) and Alkbh5 overexpressing plasmid (Alkbh5 OE) to transfect cardiomyocytes.

Photodynamic Therapy Using RGD-Functionalized Quantum Dots Elicit a Potent Immune Response in a Syngeneic Mouse Model of Pancreatic Cancer.

Purpose: Photodynamic therapy (PDT) induces anti-tumor immune responses by triggering immunogenic cell death in tumor cells. Previously, we demonstrated that novel QDs-RGD nanoparticles exhibited high efficiency as photosensitizers in the treatment of pancreatic cancer. However, the underlying mechanism of the anti-tumor immune effects induced by the photosensitizer remains unknown.

Development and Validation of a Predictive Risk Score for Blood Transfusion in Patients Undergoing Curative-Intent Surgery for Intrahepatic Cholangiocarcinoma.

Background And Objectives: Among patients undergoing liver resection for intrahepatic cholangiocarcinoma (ICC), perioperative bleeding requiring blood transfusion is a common complication, yet preoperative identification of patients at risk for transfusion remains challenging. The objective of this study was to develop a preoperative risk score for blood transfusion requirement during surgery for ICC.

Methods: Patients undergoing curative-intent liver surgery for ICC (1990-2020) were identified from a multi-institutional database.

Immobilization of laccase on mesoporous metal organic frameworks for efficient cross-coupling of ethyl ferulate.

Laccases act as green catalysts for oxidative cross-coupling of phenolic antioxidnt compounds, but low stability and non-recyclability limit its application. To address that, metal-organic frameworks Cu-BTC and Cr-MOF were synthesized as supports to immobilize the efficient laccase from Cerrena sp. HYB07.

Preoperative frailty as a key predictor of short- and long-term outcomes among octogenarians undergoing hepatectomy for hepatocellular carcinoma: a multicenter comprehensive analysis.

Background: When considering hepatectomy for elderly HCC patients, it's essential to assess surgical safety and survival benefits. This study investigated the impact of preoperative frailty, assessed with the Clinical Frailty Scale (CFS), on outcomes for octogenarians undergoing HCC hepatectomy.

Methods: A retrospective cohort study of octogenarians who had hepatectomy for HCC between 2010 and 2022 at 16 hepatobiliary centers was conducted.