Data-driven prediction of greenhouse aquaponics air temperature based on adaptive time pattern network.

Greenhouse aquaponics system (GHAP) improves productivity by harmonizing internal environments. Keeping a suitable air temperature of GHAP is essential for the growth of plant and fish. However, the disturbance of various environmental factors and the complexity of temporal patterns affect the accuracy of the microclimate time-series forecasting. This work proposed an Adaptive Time Pattern Network (ATPNet) to predict GHAP air temperature, which consists of deep temporal feature (DTF) module, multiple temporal pattern convolution (MTPC) module, and spatial attention mechanism (SAM) module. The DTF module has a wide sensory range and can capture information over a long-time span. The MTPC module is designed to improve model response performance by exploiting the effective temporal information of different environmental factors at different times. At the same time, the SAM can explore the correlations among different environmental factors. The ATPNet found that air temperature of GHAP has a strong correlation with other temperature-related parameters (external air temperature, external soil temperature, and water temperature). Compared with the best performance of three baseline models (multilayer perceptron (MLP), recurrent neural network (RNN), and Temporal Convolutional Network (TCN)), the ATPNet enhanced overall prediction performance for the following 24 h by 7.44% for root mean squared error (RMSE), 2.53% for mean absolute error (MAE), and 3.15% for mean absolute percentage error (MAPE), respectively.

Effects of the "FIFA11+ Kids" Program on Injury Prevention in Children: A Systematic Review and Meta-Analysis.

FIFA11+ Kids is a warm-up program specially designed to prevent football injuries in children. This systematic review and meta-analysis aimed to summarize the effects of FIFA11+ Kids on injury prevention in young football players. PubMed, Web of Science, Embase, Cochrane Library, and China National Knowledge Infrastructure were searched from 1 January 2016 to 24 August 2022. The primary outcome was overall injuries, and the secondary outcomes were severe, ankle, knee, and lower extremity injuries. Risk ratios (RRs) were calculated for each outcome. Methodological quality was assessed using the Physiotherapy Evidence Database (PEDro) scale. A total of 230 articles were screened, 6 of which were finally included in the meta-analysis. Compared with normal warm-up training, FIFA11+ Kids significantly reduced overall injury risk (RR = 0.52 [95% CI, 0.44-0.62]; p < 0.00001), severe injury risk (RR = 0.33 [95% CI, 0.18-0.61]; p = 0.0004), lower extremity injury risk (RR = 0.51 [95% CI, 0.41-0.65]; p < 0.00001), knee injury risk (RR = 0.45 [95% CI, 0.29-0.72]; p = 0.0009), and ankle injury risk (RR = 0.56 [95% CI, 0.35-0.89]; p = 0.01) in young football players. FIFA11+ Kids was found to be an effective approach to decrease the injury risk among young football players, which is worth generalizing extensively.

Abplatin(IV) inhibited tumor growth on a patient derived cancer model of hepatocellular carcinoma and its comparative multi-omics study with cisplatin.

BACKGROUND: Cisplatin, the alkylating agent of platinum(II) (Pt(II)), is the most common antitumor drug in clinic; however, it has many side effects, therefore it is higly desired to develop low toxicity platinum(IV) (Pt(IV)) drugs. Multi-omics analysis, as a powerful tool, has been frequently employed for the mechanism study of a certain therapy at the molecular level, which might be helpful for elucidating the mechanism of platinum drugs and facilitating their clinical application. METHODS: Strating form cisplatin, a hydrophobic Pt(IV) prodrug (CisPt(IV)) with two hydrophobic aliphatic chains was synthesized, and further encapsulated with a drug carrier, human serum albumin (HSA), to form nanoparticles, namely AbPlatin(IV). The anticancer effect of AbPlatin(IV) was investigated in vitro and in vivo. Moreover, transcriptomics, metabolomics and lipidomics were performed to explore the mechanism of AbPlatin(IV). RESULTS: Compared with cisplatin, Abplatin(IV) exhibited better tumor-targeting effect and greater tumor inhibition rate. Lipidomics study showed that Abplatin(IV) might induce the changes of BEL-7404 cell membrane, and cause the disorder of glycerophospholipids and sphingolipids. In addition, transcriptomics and metabolomics study showed that Abplatin(IV) significantly disturbed the purine metabolism pathway. CONCLUSIONS: This research highlighted the development of Abplatin(IV) and the use of multi-omics for the mechanism elucidation of prodrug, which is the key to the clinical translation of prodrug.

Tri-functional SERS nanoplatform with tunable plasmonic property for synergistic antibacterial activity and antibacterial process monitoring.

Strategies integrating synergistic high-efficiency bacterial killing and antibacterial process monitoring capability are desirable. Herein, a tri-functional surface-enhanced Raman spectroscopy (SERS) nanoplatform, namely 4-mercaptobenzoic acid-encoded gold nanorods@silver coated with a layer of bovine serum albumin (AuNRs@Ag@4-MBA@BSA), with excellent biocompatibility, stability, tunable plasmonic property and activatable photothermal effect is introduced for Ag+/photothermal therapy (PTT) synergistic antibacterial activity and antibacterial process monitoring. An exogenous etchant is used to controllably model the physiological process of metallic silver biodegradation. Ag shell etching causes the surface plasmon resonance band of SERS nanotags to red-shift to near-infrared region, activates the photothermal conversion capability, and triggers PTT, which in turn accelerates Ag shell etching. The antibacterial rates for Staphylococcus aureus and Escherichia coli after 10 min treatment can achieve 99.5% and 99.9%, respectively. Furthermore, the near-field effect and ultrasensitive property render the SERS intensity decrease ratio is dependent on Ag shell etching as well as temperature rising and thus relevant to antibacterial activity. We have demonstrated a strong correlation between SERS signal and antibacterial effect, and have verified the possibility of antibacterial process monitoring in vitro using SERS-based methodology. We envision that our integrated strategy being used for in vivo high-efficiency bacterial killing and antibacterial process monitoring.

Acquired EGFR L718V Mutation as the Mechanism for Osimertinib Resistance in a T790M-Negative Non-Small-Cell Lung Cancer Patient.

BACKGROUND: The third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) osimertinib has demonstrated significant clinical benefit in EGFR T790M-mutated non-small-cell lung cancer (NSCLC) patients, with extensive research focusing on the mechanisms of acquired resistance. However, there are limited studies on second-line treatment options for EGFR T790M-negative patients and their clinical outcomes. OBJECTIVE: We aimed to provide better understanding of the resistance mechanisms to osimertinib treatment as well as the therapeutic options for T790M-negative NSCLC patients. PATIENTS AND METHODS: In this case study, a patient was admitted and diagnosed with stage IV lung adenocarcinoma. Tissue specimen and blood samples collected from baseline and during the course of treatment were subjected to genomic profiling of 416 cancer-related genes using hybridization capture-based targeted next-generation sequencing. RESULTS: Following progression on initial chemoradiotherapy, the patient received EGFR TKI treatment with icotinib upon the confirmation of carrying an EGFR L858R mutation. However, the patient was negative for the EGFR T790M mutation when he became resistant to icotinib. The patient received subsequent osimertinib treatment and achieved a progression-free survival (PFS) of 10.4 months. Upon disease progression, an acquired L718V mutation within the EGFR kinase domain was found, which may interfere with the binding of osimertinib to the kinase domain and confer resistance regardless of T790M status. CONCLUSIONS: This is the first clinical evidence of EGFR L718V giving rise to osimertinib resistance in a T790M-negative context, which provides valuable information for the discovery of resistance mechanisms to osimertinib and guidance for personalized NSCLC treatment in such patients.

Rebound phenomenon of inflammatory response may be a major mechanism responsible for increased cardiovascular events after abrupt cessation of statin therapy.

Inflammation has been recognized as having an important role in the development and progression of atherosclerosis. Statins reduce cardiovascular events mainly by cholesterol lowering. A large number of investigations have demonstrated that administration of statin could modify inflammatory response with a concurrent fall in cardiovascular events. Despite the known benefit of statin therapy, many cardiac patients abruptly discontinue therapy because of financial constraints, forgetfulness, or side effects. More recently, several studies have shown that abrupt cessation of statin therapy during treatment could increase the incidence of cardiac events in patients with atherosclerotic heart disease. However, the mechanisms of the increased incidence of cardiovascular events after abruptly stopping statin therapy are still unknown. A few data suggest that abrupt withdrawal of statin therapy deteriorates endothelial function, result in expression of pro-inflammatory gene involved in the development and progression of atherosclerosis. We hypothesis that rebound phenomenon of inflammatory response may be a major mechanism responsible for increased cardiovascular events after abrupt cessation of statin therapy. Our very recent data showed that abrupt termination of statin therapy resulted in a rapid increased C-reactive protein (CRP) and interleukin-6 (IL-6) levels in patients with hypercholesterolemia. This finding may be of important interest in the connection between inflammatory response and abrupt withdrawal of statin therapy in patients with coronary artery disease.