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Trends with neoadjuvant radiotherapy and clinical staging for those with rectal malignancies

World Journal of Gastrointestinal surgery 2017年第4期9卷 97-102页

作者： sanjay s reddy Beth Handorf Jeffrey M Farma Elin R sigurdson Department of surgical Oncology Fox Chase Cancer Center Department of Biostatistics Fox Chase Cancer Center

AIM To see how patterns of care changed over time,and how institution type effected these *** A retrospective analysis was performed using the National Cancer Database,looking at all patients that were diagnosed with rectal cancer from 1998 to 2011. We tested differences in rates of treatment and stage migration using χ~2 tests and logistic regression models. REsULTs A review of ninety thousand five hundred and ninety four subjects underwent multimodality therapy for cancer of the rectum. staging and response to treatment varied greatly between centers. Forty-six percent of the time staging was missing in academic practices,vs fiftyfour percent of the time in community centers(P s a result,twenty-percent were down-staged and eight percent up-staged in academia,whereas only fifteen percent were down-staged and 8% up-staged in community practices(P s underwent radiation before surgery in *** two years this increased to fifty-three percent. This increased to eighty-six percent by 2011(P stitution specific treatment varied greatly. Fifty-one percent received therapy before surgery in academic centers in 1998. Thirty-nine percent followed this pattern in the same year in the community(P s,vs eighty-four percent in the community(P s of adoption were better in academia,although an increase was seen in both center types. CONCLUsION From the study dates of 1998 to 2011,preoperative treatment with radiation has been on the rise. There is certainly an increased rate of use of radiation in academia,however,this trend is also seen in the community. Practice patterns have evolved over time,although rates of assigning clinical stage are grossly underreported prior to initiation of preoperative therapy.

关键词： Neoadjuvant therapy Community Rectal cancer Academic

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Pancreatic cancer in the era of COVID-19 pandemic:Which one is the lesser of two evils?

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World Journal of Clinical Oncology 2021年第2期12卷 54-60页

作者： Maitham A Moslim Michael J Hall Joshua E Meyer sanjay s reddy Department of surgical Oncology Fox Chase Cancer CenterPhiladelphiaPA 19111United States Department of Medical Oncology Fox Chase Cancer CenterPhiladelphiaPA 19111United States Department of Radiation Oncology Fox Chase Cancer CenterPhiladelphiaPA 19111United States Department of surgery Fox Chase Cancer CenterPhiladelphiaPA 19111United States

Pancreatic adenocarcinoma remains one of the deadliest malignancies affecting the older *** are experiencing a paradigm shift in the treatment of pancreatic cancer in the era of coronavirus disease 2019(COVID-19)*** neoadjuvant treatment and further conducting a safe surgery while protecting patients in a controlled environment can improve oncological *** the other hand,an optimal oncologic procedure performed in a hazardous setting could shorten patient survival if recovery is complicated by COVID-19 *** believe that oncological treatment protocols must adapt to this new health threat,and pancreatic cancer is not unique in this *** survival may not be as optimistic as most other malignancies,as caregivers and researchers,we are committed to innovating and reshaping the treatment algorithms to minimize morbidity and maximize survival as caregivers and researchers.

关键词： Pancreatic cancer COVID-19 Medical oncology Radiation Neoadjuvant therapy Pancreatic adenocarcinoma

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Enhanced entropy generation and heat transfer characteristics of magnetic nano-encapsulated phase change materials in latent heat thermal energy storage systems

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Applied Mathematics and Mechanics(English Edition) 2024年第6期45卷 1051-1070页

作者： P.s.reddy P.sREEDEVI Department of Mathematics Rajeev Gandhi Memorial College of Engineering and TechnologyNandyal 518501India

The objective of the current study is to investigate the importance of entropy generation and thermal radiation on the patterns of velocity,isentropic lines,and temperature contours within a thermal energy storage device filled with magnetic nanoencapsulated phase change materials(NEPCMs).The versatile finite element method(FEM)is implemented to numerically solve the governing *** effects of various parameters,including the viscosity parameter,ranging from 1 to 3,the thermal conductivity parameter,ranging from 1 to 3,the Rayleigh parameter,ranging from 102 to 3×10^(2),the radiation number,ranging from 0.1 to 0.5,the fusion temperature,ranging from 1.0 to 1.2,the volume fraction of NEPCMs,ranging from 2%to 6%,the stefan number,ranging from 1 to 5,the magnetic number,ranging from 0.1 to 0.5,and the irreversibility parameter,ranging from 0.1 to 0.5,are examined in detail on the temperature contours,isentropic lines,heat capacity ratio,and velocity ***,the heat transfer rates at both the cold and hot walls are analyzed,and the findings are presented *** results indicate that the time taken by the NEPCMs to transition from solid to liquid is prolonged inside the chamber region as the fusion temperatureθf ***,the contours of the heat capacity ratio Cr decrease with the increase in the stefan number ste.

关键词： volume fraction of nano-encapsulated phase change material(NEPCM) radiation stefan number heat capacity ratio entropy generation

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CompactChain:an efficient stateless chain for UTXO-model blockchain

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Frontiers of Computer science 2024年第2期18卷 167-179页

作者： B swaroopa reddy T Uday Kiran reddy Department of Electrical Engineering Indian Institute of Technology HyderabadHyderabadTelangana 502285India

In this work,we propose a stateless blockchain called CompactChain,which compacts the entire state of the UTXO(Unspent Transaction Output)based blockchain systems into two RsA *** first accumulator is called Transaction Output(TXO)commitment which represents the TXO *** second one is called spent Transaction Output(sTXO)commitment which represents the sTXO *** this work,we discuss three algorithms:(i)To update the TXO and sTXO commitments by the *** miner also provides the proofs for the correctness of the updated commitments;(ii)To prove the transaction’s validity by providing a membership witness in TXO commitment and non-membership witness against sTXO commitment for a coin being spent by a user;(iii)To update the witness for the coin that is not yet spent;The experimental results evaluate the performance of the CompactChain in terms of time taken by a miner to update the commitments and time taken by a validator to verify the commitments and validate the *** compare the performance of CompactChain with the existing state-of-the-art works on stateless *** shows a reduction in commitments update complexity and transaction witness size which inturn reduces the mempool size and propagation latency without compromising the system throughput(Transactions per second(TPs)).

关键词： stateless blockchain RsA Accumulator sTXO commitment TXO commitment UTXO Non-interactive Proof of Exponentiation(NI-PoE) Transactions per second(TPs)

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Dragonfly Interaction Algorithm for Optimization of Queuing Delay in Industrial Wireless Networks

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Journal of Bionic Engineering 2024年第1期21卷 447-485页

作者： sanjay Bhardwaj Da-Hye Kim Dong-seong Kim Department of IT Convergence Engineering ICT Convergence Research CenterKumoh National Institute of TechnologyGumiSouth Korea

In industrial wireless networks,data transmitted from source to destination are highly *** often leads to the queuing of the data,and poor management of the queued data results in excessive delays,increased energy consumption,and packet ***,a nature-inspired-based Dragonfly Interaction Optimization Algorithm(DMOA)is proposed for optimization of the queue delay in industrial wireless *** term“interaction”herein used is the characterization of the“flying movement”of the dragonfly towards damselflies(female dragonflies)for *** a result,interaction is represented as the flow of transmitted data packets,or traffic,from the source to the base *** includes each and every feature of dragonfly movement as well as awareness of the rival dragonflies,predators,and damselflies for the desired optimization of the queue *** features are juxtaposed as noise and interference,which are further used in the calculation of industrial wireless metrics:latency,error rate(reliability),throughput,energy efficiency,and fairness for the optimization of the queue *** analysis,convergence analysis,the Wilcoxon test,the Friedman test,and the classical as well as the 2014 IEEE Congress of Evolutionary Computation(CEC)on the benchmark functions are also used for the evaluation of DMOA in terms of its robustness and *** results demonstrate the robustness of the proposed algorithm for both classical and benchmarking functions of the IEEE CEC ***,the accuracy and efficacy of DMOA were demonstrated by means of the convergence rate,Wilcoxon testing,and ***,fairness using Jain’s index in queue delay optimization in terms of throughput and latency,along with computational complexity,is also evaluated and compared with other *** results show that DMOA exceeds other bio-inspired optimization algorithms in terms of fairness in queue delay management and average packet *** proposed a

关键词： Dragonfly Damselfly Interaction Queuing delay Optimization Industrial wireless networks

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Comprehensive Overview and Analytical study on Automatic Bird Repellent Laser system for Crop Protection

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Journal of Harbin Institute of Technology(New series) 2024年第1期31卷 38-53页

作者： sireesha Abotula srinivas Gorla Prasad reddy PVGD Mohankrishna s Department of Computer science and Engineering GITAM Deemed to be UniversityVisakhapatnam 530045India Department of Information Technology Andhra UniversityVisakhapatnam 530003India Department of Computer science and systems Engineering Andhra UniversityVisakhapatnam 530003India

Birds are a huge hazard to agriculture all around the world,causing harm to profitable field *** use a variety of techniques to keep them away,including visual,auditory,tactile,and olfactory deterrents. This study presents a comprehensive overview of current bird repellant approaches used in agricultural contexts,as well as potential new ways. The bird repellent techniques include Internet of Things technology,Deep Learning,Convolutional Neural Network,Unmanned Aerial Vehicles,Wireless sensor Networks and Laser biotechnology. This study’s goal is to find and review about previous approach towards repellent of birds in the crop fields using various technologies.

关键词： Bird repellent crop protection IoT UAV Deep Learning

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secure and efficient prediction of electric vehicle charging demand usingα^(2)-LsTM and AEs-128 cryptography

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Energy and AI 2024年第2期16卷 84-100页

作者： Manish Bharat Ritesh Dash K.Jyotheeswara reddy A.s.R.Murty Dhanamjayulu C. s.M.Muyeen Department of Electrical and Electronics Engineering Visvesvaraya Technological UniversityBelgaumIndia school of Electrical and Electronics Engineering REVA UniversityBangaloreIndia school of Electrical Engineering Vellore Institute of TechnologyVelloreIndia Department of Electrical Engineering Qatar UniversityDoha2713Qatar

In recent years,there has been a significant surge in demand for electric vehicles(EVs),necessitating accurate prediction of EV charging *** prediction plays a crucial role in evaluating its impact on the power grid,encompassing power management and peak demand *** this paper,a novel deep neural network based onα^(2)-LsTM is proposed to predict the demand for charging from electric vehicles at a 15-minute time ***,we employ AEs-128 for station quantization and secure communication with *** proposed algorithm achieves a 9.2%reduction in both the Root Mean square Error(RMsE)and the mean absolute error compared to LsTM,along with a 13.01%increase in demand *** present a 12-month prediction of EV charging demand at charging stations,accompanied by an effective comparative analysis of Mean Absolute Percentage Error(MAPE)and Mean Percentage Error(MPE)over the last five years using our proposed *** prediction analysis has been conducted using Python programming.

关键词： Charging demand forecasting Deep neural network Electric vehicles LsTM Peak demand management

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Vitamin D, selenium in type 2 diabetes and Hashimoto's thyroiditis: Is it effective?

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World Journal of Diabetes 2024年第5期15卷 1048-1050页

作者： Kotha sugunakar reddy Vishakha Jain sakthivadivel Varatharajan Janardhana reddy Pallavali Department of General Medicine All India Institute of Medical SciencesTelanganaHyderabad 508126India

The study by Feng et al,explores treatment approaches for these coexisting *** emphasizes the potential advantages of selenium and vitamin D supplementation but also raises methodological and patient selection *** indicate a complex interplay between interventions and disease markers,prompting the need for further *** limitations,the study offers valuable insights into managing the intricate relationship between type 2 diabetes mellitus and Hashimoto's *** authors'contributions shed light on potential treatment avenues,although careful consideration of study design and patient characteristics is warranted for future investigations in this domain.

关键词： Vitamin D selenium Type 2 diabetes Mellitus Hashimoto’s thyroiditis

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Prediction,prevention and management of gastroesophageal reflux after per-oral endoscopic myotomy:An update

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World Journal of Gastroenterology 2024年第9期30卷 1096-1107页

作者： Zaheer Nabi Pradev Inavolu Nageshwar reddy Duvvuru Department of Gastroenterology Asian Institute of GastroenterologyHyderabad 500082TelanganaIndia Department of Medical Gastroenterology Asian Institute of GastroenterologyHyderabad 500032TelanganaIndia

Achalasia cardia,the most prevalent primary esophageal motility disorder,is predominantly characterized by symptoms of dysphagia and *** principal therapeutic approaches for achalasia encompass pneumatic dilatation(PD),Heller's myotomy,and the more recent per-oral endoscopic myotomy(POEM).POEM has been substantiated as a safe and efficacious modality for the management of *** POEM demonstrates superior efficacy compared to PD and an efficacy parallel to Heller's myotomy,the incidence of gastroesophageal reflux disease(GERD)following POEM is notably higher than with the aforementioned *** symptomatic reflux post-POEM is relatively infrequent,the significant occurrence of erosive esophagitis and heightened esophageal acid exposure necessitates vigilant monitoring to preclude long-term GERD-related *** advancements in the field have enhanced our comprehension of the risk factors,diagnostic methodologies,preventative strategies,and therapeutic management of GERD subsequent to *** review focuses on the limitations inherent in the 24-h pH study for evaluating post-POEM reflux,potential modifications in the POEM technique to mitigate GERD risk,and the strategies for managing reflux following POEM.

关键词： Achalasia cardia Per-oral endoscopic myotomy Gastroesophageal reflux Esophagitis Gastroesophageal reflux disease

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Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection

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Computers, Materials & Continua 2024年第2期78卷 2441-2468页

作者： Vaishnawi Priyadarshni sanjay Kumar sharma Mohammad Khalid Imam Rahmani Baijnath Kaushik Rania Almajalid Department of Computer science Gautam Buddha UniversityGreater NoidaUttar PradeshIndia College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia school of Computer science Shri Vaishno Devi UniversityKatraIndia

Breast cancer(BC)is one of the leading causes of death among women worldwide,as it has emerged as the most commonly diagnosed malignancy in *** detection and effective treatment of BC can help save women’s *** an efficient technology-based detection system can lead to non-destructive and preliminary cancer detection *** paper proposes a comprehensive framework that can effectively diagnose cancerous cells from benign cells using the Curated Breast Imaging subset of the Digital Database for screening Mammography(CBIs-DDsM)data *** novelty of the proposed framework lies in the integration of various techniques,where the fusion of deep learning(DL),traditional machine learning(ML)techniques,and enhanced classification models have been deployed using the curated *** analysis outcome proves that the proposed enhanced RF(ERF),enhanced DT(EDT)and enhanced LR(ELR)models for BC detection outperformed most of the existing models with impressive results.

关键词： Autoencoder breast cancer deep neural network convolutional neural network image processing machine learning deep learning

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