Research in modelling housing market dynamics using agent-based models (ABMs) has grown due to the rise of accessible individual-level data. This research involves forecasting house prices, analysing urban regeneration, and the impact of economic shocks. There is a trend towards using machine learning (ML) algorithms to enhance ABM decision-making frameworks.
View Article and Find Full Text PDFObjective: This study aims to investigate the clinical treatment effect of intelligent pressure-controlled ureteroscopy combined with thulium laser for patients with isolated kidney upper tract urothelial carcinoma (UTUC).
Methods: This study employed a retrospective analysis approach and focused on six patients with isolated kidney UTUC admitted to our hospital from June 2018 to May 2023, who underwent tumor resection surgery using intelligent pressure-controlled ureteroscopy combined with thulium laser. We collected the perioperative clinical data of these six patients and conducted statistical analysis of the treatment effects.
This work develops a generalizable neural network, SENSORNET, for sensor feature learning across various applications. The primary challenge addressed is the poor portability of pretrained neural networks to new applications with limited sensor data. To solve this challenge, we design SensorNet, which integrates the flexibility of self-attention with multi-scale feature locality of convolution.
View Article and Find Full Text PDFObjective: This study is to investigate the safety and efficacy of ureteroscope-assisted laparoscopic ureteroplasty in treating ureteral stricture after pelvic surgery.
Methods: A retrospective analysis of the clinical data of 95 patients treated for ureteral stricture at Ganzhou People's Hospital from June 2017 to March 2023 after pelvic surgery. In this group, 49 patients underwent ureteroscope and laparoscopic ureteroplasty under lithotomy position.
Purpose: This study aims to evaluate the clinical efficacy of using a tip‑flexible suctioning ureteral access sheath (TFS-UAS) in combination with a traditional ureteral access sheath (T-UAS) and a disposable flexible ureteroscope (DFU) for treating large renal stones (2-4 cm in diameter).
Methods: We retrospectively collected clinical data from 238 patients who underwent retrograde intrarenal surgery (RIRS) at Ganzhou People's Hospital between January 2019 and October 2023. The study included 238 patients who met the inclusion criteria, with 125 in the observation group using TFS-UAS and 113 in the control group using T-UAS.
Objective: This study compares the clinical efficacy of partial cystectomy (PC) versus radical cystectomy (RC) in the treatment of muscle-invasive bladder urothelial carcinoma (SCUB) through a retrospective analysis.
Methods: We retrospectively analyzed the clinical data of 20 patients diagnosed with muscle-invasive SCUB from July 2015 to August 2023 at Ganzhou People's Hospital. All patients underwent surgical treatment followed by chemotherapy, with 9 receiving PC and 11 undergoing RC.
Angew Chem Int Ed Engl
March 2024
Dendrites growth and unstable interfacial Li transport hinder the practical application of lithium metal batteries (LMBs). Herein, we report an active layer of 2,4,6-trihydroxy benzene sulfonyl fluorine on copper substrate that induces oriented Li deposition and generates highly crystalline solid-electrolyte interphase (SEI) to achieve high-performance LMBs. The lithiophilic -SO groups of highly crystalline SEI accept the rapidly transported Li ions and form a dense inner layer of LiF and Li N, which regulate Li plating morphology along the (110) crystal surface toward dendrite-free Li anode.
View Article and Find Full Text PDFStudying language evolution brings a crucial perspective to bear on questions of human prehistory. As the most linguistically diverse region on earth, East and Southeast Asia have witnessed extensive sociocultural and ethnic contacts among different language communities. Especially, the Kra-Dai language family exhibits tremendous socio-cultural importance in these regions.
View Article and Find Full Text PDFBackground: High-frequency chest wall oscillation (HFCWO) has been widely recognized for its airway secretion clearance effectiveness in critically ill ICU patients.
Objectives: The purpose of this randomized controlled trial is to validate and compare the effects of different frequencies of HFCWO on oxygenation, lung compliance, and pulmonary surfactant proteins (SPs) in critically ill patients admitted to the intensive care unit (ICU).
Methods: Sixty patients with severe craniocerebral injury treated with a tracheostomy and mechanical ventilation were randomized into three groups (20 patients in each group): a single group (treated with 30 minutes of HFCWO once daily) and a double group (treated with 30 minutes of HFCWO twice daily), and a blank group (treated without HFCWO).
Plants can recruit soil microorganisms into the rhizosphere when experiencing various environmental stresses, including biotic (e.g., insect pests) and abiotic (e.
View Article and Find Full Text PDFThe fracture development of the overlying strata after coal mining is an important guarantee of efficient gas drainage. In order to explore the fracture evolution characteristics close to a mined coal seam group, the F15.16-24130 working face in the Pingdingshan No.
View Article and Find Full Text PDFTwo lineages of influenza B viruses (IBV) co-circulating in human beings have been posing a significant public health burden worldwide. A substantial number of broadly neutralizing antibodies (bnAbs) have been identified targeting conserved epitopes on hemagglutinin (HA) stem domain, posing great interest for universal influenza vaccine development. Various strategies to design immunogens that selectively present these conserved epitopes are being explored.
View Article and Find Full Text PDFDespite reaching a point of acceptance as a research tool across the geographical and social sciences, there remain significant methodological challenges for agent-based models. These include recognizing and simulating emergent phenomena, agent representation, construction of behavioral rules, and calibration and validation. While advances in individual-level data and computing power have opened up new research avenues, they have also brought with them a new set of challenges.
View Article and Find Full Text PDFThis paper addresses the highly relevant and timely issues of global trade and food security by developing an empirically grounded, relation-driven agent-based global trade model. Contrary to most price-driven trade models in the literature, the relation-driven agent-based global trade model focuses on the role of relational factors such as trust, familiarity, trade history and conflicts in countries' trade behaviour. Moreover, the global trade model is linked to a comprehensive nutrition formula to investigate the impact of trade on food and nutrition security, including macro and micronutrients.
View Article and Find Full Text PDFThis study used a reducing agent to regulate the activity of heavy metals in soil, with the aim of enhancing the washing efficiency of heavy metals in soil by ethylene glycol bis (2-aminoethyl ether) tetraacetic acid (EGTA). The effects of EGTA dosage, reductant type, liquid-solid ratio, and leaching time on washing efficiency were studied. The heavy metal concentrations in the washing solution and the chemical specification under different washing conditions were analyzed.
View Article and Find Full Text PDFThis paper develops an empirical agent-based model to assess the impacts of Brexit on Scottish cattle farms. We first identify several trends and processes among Scottish cattle farms that were ongoing before Brexit: the lack of succession, the rise of leisure farming, the trend to diversify and industrialise, and, finally, the phenomenon of the "disappearing middle", characterised by the decline of medium-sized farms and the polarization of farm sizes. We then study the potential impact of Brexit amid the local context and those ongoing social processes.
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