Radiochemotherapy-induced oral mucositis(OM)is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy.Erosion and ulcers are the main features of OM that seriously affe...Radiochemotherapy-induced oral mucositis(OM)is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy.Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment.To date,differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties,which has increased the uncertainty of treatment effects.On the basis of current research evidence,this expert consensus outlines risk factors,clinical manifestations,clinical grading,ancillary examinations,diagnostic basis,prevention and treatment strategies and efficacy indicators for OM.In addition to strategies such as basic oral care,antiinflammatory and analgesic agents,anti-infective agents,pro-healing agents,and photobiotherapy recommended in previous guidelines,we also emphasize the role of traditional Chinese medicine in OM prevention and treatment.This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention,diagnosis,and treatment,standardizing clinical practice,reducing OM occurrence,promoting healing,and improving the quality of life of patients.展开更多
Mutations in ion channel genes have long been implicated in a spectrum of epilepsy syndromes.However,therapeutic decision-making is relatively complex for epilepsies associated with channelopathy.Therefore,in the pres...Mutations in ion channel genes have long been implicated in a spectrum of epilepsy syndromes.However,therapeutic decision-making is relatively complex for epilepsies associated with channelopathy.Therefore,in the present study,we used a patient-derived organoid model with a novel SCN2A mutation(p.E512K)to investigate the potential of utilizing such a model as a platform for preclinical testing of anti-seizure compounds.The electrophysiological properties of the variant Nav1.2 exhibited gain-of-function effects with increased current amplitude and premature activation.Immunofluorescence staining of patient-derived cortical organoids(COs)displayed normal neurodevelopment.Multielectrode array(MEA)recordings of patient-derived COs showed hyperexcitability with increased spiking and remarkable network bursts.Moreover,the application of patient-derived COs for preclinical drug testing using the MEA showed that they exhibit differential responses to various anti-seizure drugs and respond well to carbamazepine.Our results demonstrate that the individualized organoids have the potential to serve as a platform for preclinical pharmacological assessment.展开更多
BACKGROUND Small intestinal fistulas following drainage tube removal are rare but can cause significant morbidity.These complications are most commonly seen in the context of postoperative abdominal surgery.A small in...BACKGROUND Small intestinal fistulas following drainage tube removal are rare but can cause significant morbidity.These complications are most commonly seen in the context of postoperative abdominal surgery.A small intestinal fistula secondary to drainage tube removal after sigmoid colon cancer surgery is particularly uncommon.Unfortunately,the diagnosis is often delayed due to nonspecific symptoms and the rarity of the condition.CASE SUMMARY We report a case of an 80-year-old man who developed a small intestinal fistula following the removal of an abdominal drainage tube after radical surgery for sigmoid colon cancer.On postoperative Day 8,the patient experienced abdominal pain and nausea immediately after the drainage tube was removed.Imaging studies and contrast injection confirmed the presence of a small intestinal fistula.The patient underwent a second surgery for partial small intestine resection and end-to-end anastomosis,followed by supportive care.CONCLUSION This case highlights the importance of recognizing the potential for small intestinal fistulas following drainage tube removal in postoperative patients.Prompt diagnosis and surgical intervention can lead to successful management and recovery.展开更多
In order to improve the deep learning training efficiency of the large reflector antenna active adjustment technique,this paper synthesizes the characteristic that each actuator can only adjust the panel connected to ...In order to improve the deep learning training efficiency of the large reflector antenna active adjustment technique,this paper synthesizes the characteristic that each actuator can only adjust the panel connected to it,and proposes a divided-ring antenna active adjustment deep learning training modeling method.The method organizes panel node data according to actuator ring positions,using panel displacements as input features and actuator adjustments as output labels.Through systematic sorting,reorganization,and normalization,the ring-divided data are transformed into grid-structured tensors suitable for convolutional processing.Multi-layer convolutional neural networks are then constructed for surface adjustment prediction,optimized through a hybrid strategy combining simulated annealing and the Adam algorithm.Through the dataset divided-ring preprocessing,active adjustment neural network construction and model training for the case of an 8 m reflector antenna,the analytical results show that the proposed method can effectively shorten the training time,and the final model's prediction accuracy is greatly improved,which demonstrates the feasibility and effectiveness of the proposed method.展开更多
Acute necrotizing pancreatitis(ANP)is a critical type of acute pancreatitis(AP)[1,2].ANP has high mortality,long-term hospitalization,high cost,and potential morbidity[3,4].Infected or symptomatic necrosis continually...Acute necrotizing pancreatitis(ANP)is a critical type of acute pancreatitis(AP)[1,2].ANP has high mortality,long-term hospitalization,high cost,and potential morbidity[3,4].Infected or symptomatic necrosis continually requires debridement as the mainstay of treatment when percutaneous drainage fails[5].With the advent of minimally invasive approaches in recent decades,surgical management of pancreatic necrosis has been advanced.Guidelines recommend using a step-up approach instead of direct open pancreatic necrosectomy(OPN)[6].Endoscopic drainage and necrosectomy are appropriate for walled-offnecrosis(WON)near the stomach or duodenum[7].Minimal access retroperitoneal pancreatic necrosectomy(MARPN)is a good approach for laterally located WON that is distant from the stomach or duodenum[8].However,these minimally invasive approaches are still not satisfactory.The repeatedly debridement itself causes necrosis.Generally,large pieces of necrosis are not easy to clear,and blood vessels are difficult to distinguish.Risks of bleeding,gastrointestinal fistula,and pancreatic fistula are still inevitable.展开更多
Research on specific domain question-answering technology has become important with the increasing demand for intelligent question-answering systems. This paper proposes a domain question-answering algorithm based on ...Research on specific domain question-answering technology has become important with the increasing demand for intelligent question-answering systems. This paper proposes a domain question-answering algorithm based on the CLIP mechanism to improve the accuracy and efficiency of interaction. First, this paper reviewed relevant technologies involved in the question-answering field. Then, the question-answering model based on the CLIP mechanism was produced, including its design, implementation, and optimization. It also described the construction process of the specific domain knowledge graph, including graph design, data collection and processing, and graph construction methods. The paper compared the performance of the proposed algorithm with classic question-answering algorithms BiDAF, R-Net, and XLNet models, using a military domain dataset. The experimental results show that the proposed algorithm has advanced performance, with an F1 score of 84.6% on the constructed military knowledge graph test set, which is at least 1.5% higher than other models. We conduct a detailed analysis of the experimental results, which illustrates the algorithm’s advantages in accuracy and efficiency, as well as its potential for further improvement. These findings demonstrate the practical application potential of the proposed algorithm in the military domain.展开更多
基金supported by the National Natural Science Foundation of China(U23A20445)the Science and Technology Program of Guangzhou(202206080009)。
文摘Radiochemotherapy-induced oral mucositis(OM)is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy.Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment.To date,differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties,which has increased the uncertainty of treatment effects.On the basis of current research evidence,this expert consensus outlines risk factors,clinical manifestations,clinical grading,ancillary examinations,diagnostic basis,prevention and treatment strategies and efficacy indicators for OM.In addition to strategies such as basic oral care,antiinflammatory and analgesic agents,anti-infective agents,pro-healing agents,and photobiotherapy recommended in previous guidelines,we also emphasize the role of traditional Chinese medicine in OM prevention and treatment.This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention,diagnosis,and treatment,standardizing clinical practice,reducing OM occurrence,promoting healing,and improving the quality of life of patients.
基金supported by the National Key R&D Program of China(2022YFC2503802)the National Natural Science Foundation of China(82271499 and 32450530)+1 种基金the Joint Project of the Yangtze River Delta Science and Technology Innovation Community(2024CSJZN00600)the National Key Research and Development Program of China(2024YFA1108000).
文摘Mutations in ion channel genes have long been implicated in a spectrum of epilepsy syndromes.However,therapeutic decision-making is relatively complex for epilepsies associated with channelopathy.Therefore,in the present study,we used a patient-derived organoid model with a novel SCN2A mutation(p.E512K)to investigate the potential of utilizing such a model as a platform for preclinical testing of anti-seizure compounds.The electrophysiological properties of the variant Nav1.2 exhibited gain-of-function effects with increased current amplitude and premature activation.Immunofluorescence staining of patient-derived cortical organoids(COs)displayed normal neurodevelopment.Multielectrode array(MEA)recordings of patient-derived COs showed hyperexcitability with increased spiking and remarkable network bursts.Moreover,the application of patient-derived COs for preclinical drug testing using the MEA showed that they exhibit differential responses to various anti-seizure drugs and respond well to carbamazepine.Our results demonstrate that the individualized organoids have the potential to serve as a platform for preclinical pharmacological assessment.
文摘BACKGROUND Small intestinal fistulas following drainage tube removal are rare but can cause significant morbidity.These complications are most commonly seen in the context of postoperative abdominal surgery.A small intestinal fistula secondary to drainage tube removal after sigmoid colon cancer surgery is particularly uncommon.Unfortunately,the diagnosis is often delayed due to nonspecific symptoms and the rarity of the condition.CASE SUMMARY We report a case of an 80-year-old man who developed a small intestinal fistula following the removal of an abdominal drainage tube after radical surgery for sigmoid colon cancer.On postoperative Day 8,the patient experienced abdominal pain and nausea immediately after the drainage tube was removed.Imaging studies and contrast injection confirmed the presence of a small intestinal fistula.The patient underwent a second surgery for partial small intestine resection and end-to-end anastomosis,followed by supportive care.CONCLUSION This case highlights the importance of recognizing the potential for small intestinal fistulas following drainage tube removal in postoperative patients.Prompt diagnosis and surgical intervention can lead to successful management and recovery.
基金sponsored by the Tianshan Talent Foundation of Xinjiang Uygur Autonomous Region under No.2024TSYCCX0010the National Natural Science Foundation of China(12303094 and 52165053)+2 种基金the National Key R&D Program of China(No.2021YFC220350)the Natural Science Foundation of Xinjiang Uygur Autonomous Region(2022D01C683)the China Postdoctoral Science Foundation(2021M702751&2023T160549)。
文摘In order to improve the deep learning training efficiency of the large reflector antenna active adjustment technique,this paper synthesizes the characteristic that each actuator can only adjust the panel connected to it,and proposes a divided-ring antenna active adjustment deep learning training modeling method.The method organizes panel node data according to actuator ring positions,using panel displacements as input features and actuator adjustments as output labels.Through systematic sorting,reorganization,and normalization,the ring-divided data are transformed into grid-structured tensors suitable for convolutional processing.Multi-layer convolutional neural networks are then constructed for surface adjustment prediction,optimized through a hybrid strategy combining simulated annealing and the Adam algorithm.Through the dataset divided-ring preprocessing,active adjustment neural network construction and model training for the case of an 8 m reflector antenna,the analytical results show that the proposed method can effectively shorten the training time,and the final model's prediction accuracy is greatly improved,which demonstrates the feasibility and effectiveness of the proposed method.
文摘Acute necrotizing pancreatitis(ANP)is a critical type of acute pancreatitis(AP)[1,2].ANP has high mortality,long-term hospitalization,high cost,and potential morbidity[3,4].Infected or symptomatic necrosis continually requires debridement as the mainstay of treatment when percutaneous drainage fails[5].With the advent of minimally invasive approaches in recent decades,surgical management of pancreatic necrosis has been advanced.Guidelines recommend using a step-up approach instead of direct open pancreatic necrosectomy(OPN)[6].Endoscopic drainage and necrosectomy are appropriate for walled-offnecrosis(WON)near the stomach or duodenum[7].Minimal access retroperitoneal pancreatic necrosectomy(MARPN)is a good approach for laterally located WON that is distant from the stomach or duodenum[8].However,these minimally invasive approaches are still not satisfactory.The repeatedly debridement itself causes necrosis.Generally,large pieces of necrosis are not easy to clear,and blood vessels are difficult to distinguish.Risks of bleeding,gastrointestinal fistula,and pancreatic fistula are still inevitable.
文摘Research on specific domain question-answering technology has become important with the increasing demand for intelligent question-answering systems. This paper proposes a domain question-answering algorithm based on the CLIP mechanism to improve the accuracy and efficiency of interaction. First, this paper reviewed relevant technologies involved in the question-answering field. Then, the question-answering model based on the CLIP mechanism was produced, including its design, implementation, and optimization. It also described the construction process of the specific domain knowledge graph, including graph design, data collection and processing, and graph construction methods. The paper compared the performance of the proposed algorithm with classic question-answering algorithms BiDAF, R-Net, and XLNet models, using a military domain dataset. The experimental results show that the proposed algorithm has advanced performance, with an F1 score of 84.6% on the constructed military knowledge graph test set, which is at least 1.5% higher than other models. We conduct a detailed analysis of the experimental results, which illustrates the algorithm’s advantages in accuracy and efficiency, as well as its potential for further improvement. These findings demonstrate the practical application potential of the proposed algorithm in the military domain.
