Delay tolerant wireless sensor networks(DTWSN)is a class of wireless network that finds its deployment in those application scenarios which demand for high packet delivery ratio while maintaining minimal overhead in o...Delay tolerant wireless sensor networks(DTWSN)is a class of wireless network that finds its deployment in those application scenarios which demand for high packet delivery ratio while maintaining minimal overhead in order to prolong network lifetime;owing to resource-constrained nature of sensors.The fundamental requirement of any network is routing a packet from its source to destination.Performance of a routing algorithm depends on the number of network parameters utilized by that routing protocol.In the recent years,various routing protocol has been developed for the delay tolerant networks(DTN).A routing protocol known as spray and wait(SnW)is one of the most widely used routing algorithms for DTN.In this paper,we study the SnW routing protocol and propose a modified version of it referred to as Pentago SnW which is based on pentagonal number series.Comparison to binary SnW shows promising results through simulation using real-life scenarios of cars and pedestrians randomly moving on a map.展开更多
Federated learning combined with edge computing has greatly facilitated transportation in real-time applications such as intelligent traffic sys-tems.However,synchronous federated learning is in-efficient in terms of ...Federated learning combined with edge computing has greatly facilitated transportation in real-time applications such as intelligent traffic sys-tems.However,synchronous federated learning is in-efficient in terms of time and convergence speed,mak-ing it unsuitable for high real-time requirements.To address these issues,this paper proposes an Adap-tive Waiting time Asynchronous Federated Learn-ing(AWTAFL)based on Dueling Double Deep Q-Network(D3QN).The server dynamically adjusts the waiting time using the D3QN algorithm based on the current task progress and energy consumption,aim-ing to accelerate convergence and save energy.Addi-tionally,this paper presents a new federated learning global aggregation scheme,where the central server performs weighted aggregation based on the freshness and contribution of client parameters.Experimen-tal simulations demonstrate that the proposed algo-rithm significantly reduces the convergence time while ensuring model quality and effectively reducing en-ergy consumption in asynchronous federated learning.Furthermore,the improved global aggregation update method enhances training stability and reduces oscil-lations in the global model convergence.展开更多
1.Introduction Hepatocellular carcinoma(HCC)is the most common primary malignancy of the liver.HCC is the sixth most frequently diagnosed cancer and the third leading cause of cancer-relatedmortality worldwide.[1]Part...1.Introduction Hepatocellular carcinoma(HCC)is the most common primary malignancy of the liver.HCC is the sixth most frequently diagnosed cancer and the third leading cause of cancer-relatedmortality worldwide.[1]Partial hepatectomy is recommended for patients with early stage HCC.[2]A large proportion of patients with HCC inChina are diagnosed in the intermediate to advanced HCC stages,rendering them ineligible for hepatectomy due to aspects such as liver dysfunction,insufficient residual liver volume,or surgical technique.展开更多
The treatment of locally advanced rectal cancer(LARC)has evolved significantly over the past century,driven by a deeper understanding of tumor biology,technological advancements,and multidisciplinary approaches.This a...The treatment of locally advanced rectal cancer(LARC)has evolved significantly over the past century,driven by a deeper understanding of tumor biology,technological advancements,and multidisciplinary approaches.This article reviews the historical progression of LARC management,emphasizing the latest breakthroughs that are reshaping treatment paradigms.Key developments include the watch and wait strategy for patients achieving a complete clinical response after neoadjuvant therapy,the emergence of total neoadjuvant therapy as a standard approach,and the adoption of minimally invasive surgical techniques,such as transanal endoscopic microsurgery.Watch and wait may reduce treatment-related morbidity and help preserve anorectal function,but it requires rigorous patient selection and close long-term surveillance to ensure oncologic safety.Additionally,the role of targeted therapies and immunotherapy is gaining prominence,offering new opportunities for personalized treatment.These innovations aim to improve oncological outcomes while minimizing morbidity and preserving organ function,ultimately enhancing patients’quality of life.Despite these advancements,challenges remain in optimizing patient selection,refining treatment strategies,and ensuring long-term safety and efficacy.A multidisciplinary approach involving surgeons,oncologists,and radiation specialists is crucial to tailoring therapies to individual patient profiles.As research continues,integrating novel therapeutic strategies will be key to further improving survival rates and reducing treatment-related morbidity in LARC patients.展开更多
As an important representative of the Theatre of Absurd, in his masterpiece Waiting for Godot, Beckett deserted the traditional dramatic form and adopted a new one that shows us the fragmentary characters and the absu...As an important representative of the Theatre of Absurd, in his masterpiece Waiting for Godot, Beckett deserted the traditional dramatic form and adopted a new one that shows us the fragmentary characters and the absurdity of the modern society. This paper demonstrates his artful creation of the language form from the following three aspects: The use of repetition, use of silence and pause and short sentences.展开更多
文摘Delay tolerant wireless sensor networks(DTWSN)is a class of wireless network that finds its deployment in those application scenarios which demand for high packet delivery ratio while maintaining minimal overhead in order to prolong network lifetime;owing to resource-constrained nature of sensors.The fundamental requirement of any network is routing a packet from its source to destination.Performance of a routing algorithm depends on the number of network parameters utilized by that routing protocol.In the recent years,various routing protocol has been developed for the delay tolerant networks(DTN).A routing protocol known as spray and wait(SnW)is one of the most widely used routing algorithms for DTN.In this paper,we study the SnW routing protocol and propose a modified version of it referred to as Pentago SnW which is based on pentagonal number series.Comparison to binary SnW shows promising results through simulation using real-life scenarios of cars and pedestrians randomly moving on a map.
基金supported by the National Natural Science Foundation of China(62371082)Guangxi Science and Technology Project(AB24010317)+1 种基金Science and Technology Project of Chongqing Education Commission(KJZD-K202400606)Natural Science Foundation of Chongqing(CSTB2023NSCQ-MSX0726,CSTB2023NSCQ-LZX0014).
文摘Federated learning combined with edge computing has greatly facilitated transportation in real-time applications such as intelligent traffic sys-tems.However,synchronous federated learning is in-efficient in terms of time and convergence speed,mak-ing it unsuitable for high real-time requirements.To address these issues,this paper proposes an Adap-tive Waiting time Asynchronous Federated Learn-ing(AWTAFL)based on Dueling Double Deep Q-Network(D3QN).The server dynamically adjusts the waiting time using the D3QN algorithm based on the current task progress and energy consumption,aim-ing to accelerate convergence and save energy.Addi-tionally,this paper presents a new federated learning global aggregation scheme,where the central server performs weighted aggregation based on the freshness and contribution of client parameters.Experimen-tal simulations demonstrate that the proposed algo-rithm significantly reduces the convergence time while ensuring model quality and effectively reducing en-ergy consumption in asynchronous federated learning.Furthermore,the improved global aggregation update method enhances training stability and reduces oscil-lations in the global model convergence.
文摘1.Introduction Hepatocellular carcinoma(HCC)is the most common primary malignancy of the liver.HCC is the sixth most frequently diagnosed cancer and the third leading cause of cancer-relatedmortality worldwide.[1]Partial hepatectomy is recommended for patients with early stage HCC.[2]A large proportion of patients with HCC inChina are diagnosed in the intermediate to advanced HCC stages,rendering them ineligible for hepatectomy due to aspects such as liver dysfunction,insufficient residual liver volume,or surgical technique.
文摘The treatment of locally advanced rectal cancer(LARC)has evolved significantly over the past century,driven by a deeper understanding of tumor biology,technological advancements,and multidisciplinary approaches.This article reviews the historical progression of LARC management,emphasizing the latest breakthroughs that are reshaping treatment paradigms.Key developments include the watch and wait strategy for patients achieving a complete clinical response after neoadjuvant therapy,the emergence of total neoadjuvant therapy as a standard approach,and the adoption of minimally invasive surgical techniques,such as transanal endoscopic microsurgery.Watch and wait may reduce treatment-related morbidity and help preserve anorectal function,but it requires rigorous patient selection and close long-term surveillance to ensure oncologic safety.Additionally,the role of targeted therapies and immunotherapy is gaining prominence,offering new opportunities for personalized treatment.These innovations aim to improve oncological outcomes while minimizing morbidity and preserving organ function,ultimately enhancing patients’quality of life.Despite these advancements,challenges remain in optimizing patient selection,refining treatment strategies,and ensuring long-term safety and efficacy.A multidisciplinary approach involving surgeons,oncologists,and radiation specialists is crucial to tailoring therapies to individual patient profiles.As research continues,integrating novel therapeutic strategies will be key to further improving survival rates and reducing treatment-related morbidity in LARC patients.
文摘As an important representative of the Theatre of Absurd, in his masterpiece Waiting for Godot, Beckett deserted the traditional dramatic form and adopted a new one that shows us the fragmentary characters and the absurdity of the modern society. This paper demonstrates his artful creation of the language form from the following three aspects: The use of repetition, use of silence and pause and short sentences.
