Advanced NLP-driven predictive modeling for tailored treatment strategies in gastrointestinal cancer.

Gastrointestinal cancer represents a significant health burden, necessitating innovative approaches for personalized treatment. This study aims to develop an advanced natural language processing (NLP)-driven predictive modeling framework for tailored treatment strategies in gastrointestinal cancer, leveraging the capabilities of deep learning. The Resilient Adam Algorithm-driven Versatile Long-Short Term Memory (RAA-VLSTM) model is proposed to analyze comprehensive clinical data.

Cross-Cloud Consistency for Weakly Supervised Point Cloud Semantic Segmentation.

Weakly supervised point cloud semantic segmentation is an increasingly active topic, because fully supervised learning acquires well-labeled point clouds and entails high costs. The existing weakly supervised methods either need meticulously designed data augmentation for self-supervised learning or ignore the negative effects of learning on pseudolabel noises. In this article, by designing different granularity of cross-cloud structures, we propose a cross-cloud consistency method for weakly supervised point cloud semantic segmentation which forms the expectation-maximum (EM) framework.

Experimental study of magnetic hydrogel assisted magnetic anchorguided endoscopic submucosal dissection in colonic tumors.

Background: Endoscopic submucosal dissection (ESD) is a well-established treatment for gastrointestinal tumors and enables en bloc resection. Adequate counter traction with good visualization is important for safe and effective dissection.

Objective: Based on magnetic anchor-guided endoscopic submucosal dissection (MAG-ESD), we would like to explore the feasibility of magnetic hydrogel as an internal magnetic anchor that can be injected into the submucosa through an endoscopic needle to assist colonic endoscopic submucosal dissection.

Effect of individualized narrative nursing mode on recovery of elderly patients with fracture complicated with cerebrovascular accident.

Fractures often occur in elderly patients. Osteoporosis caused by massive loss of calcium ions in the bones of elderly patients can easily lead to femoral fractures after suffering a low- and medium-energy injury. With the gradual entry of the aging society in China, the incidence of senile fracture is also gradually increasing.

Tea-derived carbon dots with two ratiometric fluorescence channels for the independent detection of Hg and HO.

Ratiometric fluorescence carbon dots (CDs) that serve as probes have attracted more attention on account of their unique optical properties, low toxicity, anti-interference, and internal reference. However, the facile fabrication of CDs with the aim of detecting multiple targets through mutually independent response channels is always a challenge. Herein, multifunctional label-free N-doped ratiometric fluorescence CDs (N-CDs) are developed from tea leaves extract and -phenylenediamine by a mild solvothermal method.

[Intervention effect of injury control orthopedic strategy on fat embolism syndrome associated with long shaft fracture of lower limb].

Objective: To observe the intervention effect of damage control orthopaedic(DCO) strategy on fat embolism syndrome(FES) associated with long shaft fracture of lower limbs.

Methods: Retrospective analysis was made on the clinical data of 163 patients with FES associated with lower limb long shaft fractures admitted from January 2015 to May 2021. They were divided into two groups based on the time point of implementing DCO strategy in January 2018.

Contrasting impacts of dry versus humid heat on US corn and soybean yields.

The impact of extreme heat on crop yields is an increasingly pressing issue given anthropogenic climate warming. However, some of the physical mechanisms involved in these impacts remain unclear, impeding adaptation-relevant insight and reliable projections of future climate impacts on crops. Here, using a multiple regression model based on observational data, we show that while extreme dry heat steeply reduced U.

The Current status of steroid-refractory immune-checkpoint-inhibitor-related hepatotoxicity.

ICI-related hepatotoxicity (IRH) is becoming more and more common as immune checkpoint inhibitors (ICIs) have begun to be increasingly approved and used in combination with other anti-tumor drugs worldwide. Steroids are the first choice for the treatment of IRH, but the subsequent optimal treatment algorithm remains unclear if the disease progresses to steroid-refractory IRH. Therefore, in this paper we reviewed all the pertinent literature on steroid-refractory IRH to the greatest extent possible in an attempt to provide information on which to base an update of the treatment algorithm for steroid-refractory IRH.

Artificial intelligence in brachytherapy for cervical cancer.

Brachytherapy (BT) consists in the insertion of radioactive implants directly into the tissue through an applicator, in order to kill tumor cells. This is for the tumor tissue to receive a higher dose, whereas the surrounding normal tissues receive a lower dose of radiation because of the rapid fall of the dose. Because of the special anatomical position of the cervix, smaller organ mobility, and higher tolerable doses of radiotherapy in the vagina and uterus, BT has been most widely used to treat cervical cancer and is an important part of radical radiotherapy for this type of cancer.

Study on Transmission Channel and Pollution Sources Region of O in Qingyuan City.

Based on the Lagrange mixed single-particle trajectory model and NCEP global reanalysis meteorological data, the 72 h backward airflow trajectory in Qingyuan City in different seasons from 2018 to 2020 was analyzed by cluster analysis. Combined with the hourly average concentration data of O, the potential source contribution factor (PSCF) analysis and concentration weighted trajectory (CWT) analysis were used to study the regional transport and possible source area of O in Qingyuan City and analyzed the relationship among O and wind speed, wind direction, NO, and CO. The results showed that from 2018 to 2020, the most significant proportion of primary pollutants in Qingyuan City was ozone.

Learning All-In Collaborative Multiview Binary Representation for Clustering.

Multiview clustering via binary representation has attracted intensive attention due to its effectiveness in handling large-scale multiple view data. However, these kind of clustering approaches usually ignore a very important potential high-order correlation in discrete representation learning. In this article, we propose a novel all-in collaborative multiview binary representation for clustering (AC-MVBC) framework, where multiview collaborative binary representation and clustering structure are learned in a joint manner.

Lattice Network for Lightweight Image Restoration.

Deep learning has made unprecedented progress in image restoration (IR), where residual block (RB) is popularly used and has a significant effect on promising performance. However, the massive stacked RBs bring about burdensome memory and computation cost. To tackle this issue, we aim to design an economical structure for adaptively connecting pair-wise RBs, thereby enhancing the model representation.

Applications of artificial intelligence in radiophysics.

Artificial intelligence (AI) is playing an important role in radiation oncology. One of the most important applications is in radiotherapy physics. In this field, it has improved the automation of radiotherapy plan design and quality control (QC), thereby promoting and ensuring individualized precision treatment.

Effects of CT images at different reconstruction energies on radiotherapy planning of patients diagnosed with nonsmall cell lung cancer.

Objective And Aims: We conducted this study to explore the influence of spectral computer tomography (CT) images at different reconstruction energies on the radiotherapy plan of patients with nonsmall-cell lung cancer (NSCLC).

Subject And Methods: Here, 38 NSCLC patients were selected to undergo energy spectral scanning. All energy spectral images obtained were then transferred to the Discover™ CT postprocessing workstation to generate 40k eV, 60 keV, 80keV, 100keV, 120keV, and different 140keV single-energy images.

A Flexible Semi-Interpenetrating Network-Enhanced Ionogel Polymer Electrolyte for Highly Stable and Safe Lithium Metal Batteries.

An ionogel polymer electrolyte (IGPE), which combines the merits of high ionic conductivity and excellent safety property of a liquid electrolyte and a solid electrolyte, respectively, has shown great prospects in the application of a new generation of lithium secondary batteries. However, the increase in the ionic conductivity of IGPE will inevitably be at the expense of reduced mechanical strength, and this dilemma limits its application and market promotion. Here, an IGPE with a semi-interpenetrating cross-linked network structure was synthesized by UV-cross-linking to tackle this plight.

The main mechanisms of trimethyltin chloride-induced neurotoxicity: Energy metabolism disorder and peroxidation damage.

Trimethyltin chloride (TMT) is a by-product in the synthesis of organotin, a plastic stabilizer. With the rapid development of industry, the occupational hazards caused by TMT cannot be ignored. TMT is a typical neurotoxicant, which mainly damages the limbic system and brainstem of the nervous system.

Removal of N,N-dimethylformamide by dielectric barrier discharge plasma combine with manganese activated carbon.

Manganese activated carbon (Mn-AC) was successfully prepared by the incipient wetness method and characterized by SEM, XRD, and FTIR. This study chose N,N-dimethylformamide (DMF) as the target pollutant, and the removal rate of DMF and removal mechanism were systematically studied by dielectric barrier discharge (DBD) plasma combined with Mn-AC. This study indicated that DBD plasma combined with Mn-AC could effectively remove DMF.

Proteomic Profiling of Cerebrum Mitochondria, Myelin Sheath, and Synaptosome Revealed Mitochondrial Damage and Synaptic Impairments in Association with 3 × Tg-AD Mice Model.

Alzheimer's disease (AD) is the most common age-associated dementia with complex pathological hallmarks. Mitochondrion, synaptosome, and myelin sheath appear to be vulnerable and play a key role in the pathogenesis of AD. To clarify the early mechanism associated with AD, followed by subcellular components separation, we performed iTRAQ (isobaric tags for relative and absolute quantification)-based proteomics analysis to simultaneously investigate the differentially expressed proteins (DEPs) within the mitochondria, synaptosome, and myelin sheath in the cerebrum of the 6-month-old triple transgenic AD (3 × Tg-AD) and 6-month-old wild-type (WT) mice.

An Extremely Stretchable and Self-Healable Supramolecular Polymer Network.

The construction of a single polymer network with extreme stretchability, relatively high mechanical strength, and fast and facile autonomous room-temperature self-healing capability still remains a challenge. Herein, supramolecular polymer networks are fabricated by synergistically incorporating metal-ligand and hydrogen bonds in poly(propylene glycol) (PPG). The representative specimen, PPG-Im-MDA-1.

Na@La-modified zeolite particles for simultaneous removal of ammonia nitrogen and phosphate from rejected water: performance and mechanism.

Rejected water from sludge processing in wastewater treatment plants (WWTPs) is very harmful due to its high concentration of ammonia nitrogen and phosphorus. It is therefore necessary to find a low-cost and convenient technique to simultaneously remove ammonia nitrogen and phosphorus from rejected water. In this study, natural granular zeolite was modified by NaCl and La(OH) to obtain a new material (Na@La-MZP), with several advantages compared with powdered zeolite.

Achieving enhanced biological nitrogen removal via 2450 MHz electromagnetic wave loading on returned sludge in anaerobic-anoxic-oxic process.

To evaluate the enhancing of the biological nitrogen removal effectiveness by electromagnetic wave loading on returned sludge in the A/A/O reactor, some experiments were completed with the returned sludge loaded by 2,450 MHz electromagnetic wave. The excess sludge yield and pollutant removal effect of the system were evaluated. Results showed that stronger denitrification effect and less sludge yield were achieved.