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Early versus delayed necrosectomy in pancreatic necrosis:A population-based cohort study on readmission,healthcare utilization,and in-hospital mortality

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World Journal of Methodology 2024年第3期14卷 55-67页

作者： Hassam Ali Faisal Inayat Vinay Jahagirdar Fouad Jaber Arslan Afzal Pratik Patel Hamza Tahir Muhammad Sajeel Anwar Attiq Ur Rehman Muhammad Sarfraz Ahtshamullah Chaudhry Gul Nawaz Dushyant Singh Dahiya amir H Sohail Muhammad Aziz Division of Gastroenterology and Hepatology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Department of Internal Medicine University of Missouri-Kansas CityKansas CityMO 64108United States Division of Gastroenterology Mather Hospital and Zucker School of Medicine at Hofstra UniversityPort JeffersonNY 11777United States Department of Internal Medicine Jefferson Einstein HospitalPhiladelphiaPA 19141United States Department of Internal Medicine UHS Wilson Medical CenterJohnson CityNY 13790United States Division of Gastroenterology and Hepatology Geisinger Wyoming Valley Medical CenterWilkes-BarrePA 18711United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Division of Gastroenterology Hepatologyand MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of Surgery University of New Mexico School of MedicineAlbuquerqueNM 87106United States Division of Gastroenterology and Hepatology The University of ToledoToledoOH 43606United States

BACKGROUND Acute necrotizing pancreatitis is a severe and life-threatening *** poses a considerable challenge for clinicians due to its complex nature and the high risk of *** minimally invasive and open necrosectomy procedures have been *** advancements in treatment modalities,the optimal timing to perform necrosectomy lacks *** To evaluate the impact of necrosectomy timing on patients with pancreatic necrosis in the United *** A national retrospective cohort study was conducted using the 2016-2019 Nationwide Readmissions *** with non-elective admissions for pancreatic necrosis were *** participants were divided into two groups based on the necrosectomy timing:The early group received intervention within 48 hours,whereas the delayed group underwent the procedure after 48 *** various intervention techniques included endoscopic,percutaneous,or surgical *** major outcomes of interest were 30-day readmission rates,healthcare utilization,and inpatient *** A total of 1309 patients with pancreatic necrosis were *** propensity score matching,349 cases treated with early necrosectomy were matched to 375 controls who received delayed *** early cohort had a 30-day readmission rate of 8.6% compared to 4.8%in the delayed cohort(P=0.040).Early necrosectomy had lower rates of mechanical ventilation(2.9%vs 10.9%,P<0.001),septic shock(8%vs 19.5%,P<0.001),and in-hospital mortality(1.1%vs 4.3%,P=0.01).Patients in the early intervention group incurred lower healthcare costs,with median total charges of $52202 compared to$147418 in the delayed *** in the early cohort also had a relatively shorter median length of stay(6 vs 16 days,P<0.001).The timing of necrosectomy did not significantly influence the risk of 30-day readmission,with a hazard ratio of 0.56(95%confidence interval:0.31-1.02,P=0.06).CONCLUSION Our findings show that

关键词： Acute necrotizing pancreatitis Pancreatic necrosis Early necrosectomy Delayed necrosectomy Readmission,Healthcare costs Mortality

TransPolymer: a Transformer-based language model for polymer property predictions

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npj Computational Materials 2023年第1期9卷 1703-1716页

作者： Changwen Xu Yuyang Wang amir Barati Farimani Department of Materials Science and Engineering Carnegie Mellon University5000 Forbes AvePittsburgh 15213 PAUSA Department of Mechanical Engineering Carnegie Mellon University5000 Forbes AvePittsburgh 15213 PAUSA Machine Learning Department Carnegie Mellon University5000 Forbes AvePittsburgh 15213 PAUSA Department of Chemical Engineering Carnegie Mellon University5000 Forbes AvePittsburgh 15213 PAUSA

Accurate and efficient prediction of polymer properties is of great significance in polymer ***,expensive and time-consuming experiments or simulations are required to evaluate polymer ***,Transformer models,equipped with self-attention mechanisms,have exhibited superior performance in natural language ***,such methods have not been investigated in polymer ***,we report TransPolymer,a Transformer-based language model for polymer property *** proposed polymer tokenizer with chemical awareness enables learning representations from polymer *** experiments on ten polymer property prediction benchmarks demonstrate the superior performance of ***,we show that TransPolymer benefits from pretraining on large unlabeled dataset via Masked Language *** results further manifest the important role of self-attention in modeling polymer *** highlight this model as a promising computational tool for promoting rational polymer design and understanding structure-property relationships from a data science view.

关键词： property polymer rational

Interactive effects of deficit irrigation and vermicompost on yield,quality,and irrigation water use efficiency of greenhouse cucumber

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Journal of Arid Land 2022年第11期14卷 1274-1292页

作者： Halimeh PIRI amir NASERIN Ammar A ALBALASMEH Department of Water Engineering Faculty of College of Water and SoilUniversity of ZabolZabol ***Iran Department of Water Engineering Agricultural Sciences and Natural Resources University of KhuzestanMollasani ***Iran Department of Natural Resources and the Environment Faculty of AgricultureJordan University of Science and TechnologyIrbid 22110Jordan

Water scarcity is the most significant barrier to agricultural development in arid and semi-arid *** irrigation is an effective solution for managing agricultural water in these *** use of additives such as vermicompost(VC)to improve soil characteristics and increase yield is a popular *** this,there is still a lack of understanding of the interaction between irrigation water and VC on various *** study aimed to investigate the interaction effect of irrigation water and VC on greenhouse cucumber yield,yield components,quality,and irrigation water use efficiency(IWUE).The trials were done in a split-plot design in three replicates in a semi-arid region of southeastern Iran in 2018 and *** levels of VC in the experiments,i.e.,10(V_(1)),15(V_(2)),and 20 t/hm^(2)(V_(3)),and three levels of irrigation water,i.e.,50%(I_(1)),75%(I_(2)),and 100%(I_(3))of crop water requirement were *** results showed that the amount of irrigation water,VC,and their interaction significantly affected cucumber yield,yield components,quality,and IWUE in both *** the amount of irrigation water and VC application rates reduced the weight,diameter,length,and cucumber *** maximum yield(175 t/hm^(2))was recorded in full irrigation using 20 t/hm^(2)of VC,while the minimum yield(98 t/hm^(2))was found in I_(1)V_(1)*** maximum and minimum values of IWUE were recorded for I_(1)V_(3)and I_(3)V_(1)treatments as 36.07 and 19.93 kg/(m^(3)•hm^(2)),***,reducing irrigation amount decreased chlorophyll a and b,but increased vitamin ***,the maximum carbohydrate and protein contents were obtained in mild water-stressed conditions(I_(2)).Although adding VC positively influenced the value of quality traits,no significant difference was observed between V_(2)and V_(3)*** on the results,adding VC under full irrigation conditions leads to enhanced yield and ***,in the case of applying deficit ir

关键词： irrigation water use efficiency greenhouse size and weight of fruit soil amendment semi-arid region

Assessment of phytotoxic, genotoxic and enzyme inhibition potential of Sterculia diversifolia

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Journal of Traditional Chinese Medicine 2022年第4期42卷 595-603页

作者： Fazle Rabbi amir Zada Amna Nisar Department of Pharmacy University of PeshawarPeshawar 25120Khyber PakhtunkhwaPakistan Department of Pharmacy Abasyn University PeshawarPeshawar25000Khyber PakhtunkhwaPakistan.fazle.rabbi@abasyn.edu.pk Telephone:+92-0314-9244566

OBJECTIVE:To evaluate Sterculia diversifolia stem bark and leaves for phytotoxic,genotoxic and enzymes inhibition ***:Phytotoxic activity of both stem bark and leaves were screened using Lemna *** genotoxic activity of Sterculia diversifolia stem bark and leaves extracts were tested using comet assay protocol while enzyme inhibition activity of crude extract and various fractions of both stem bark and leaves were evaluated using acetyl cholinesterase,lipoxygenase,β-glucuronidase,urease,xanthine oxidase and carbonic ***:Phytotoxic activity showed significant results in dose dependant manner in both stem bark(ethyl acetate and n-butanol)and leaves(ethyl acetate,nbutanol and n-hexane)*** genotoxic activity,dichloromethane fraction showed significant activity followed by ethyl acetate *** cholinesterease inhibitory activity showed significant results in both stem bark and leaves fractions,while significant lipoxygenase inhibition was shown by ethyl acetate,dichloromethane,crude extract and n-hexane fractions of both stem bark and leaves.β-glucuronidase,urease and carbonic anhydrase inhibitory activity showed highly significant results in ethyl acetate fraction of both stem bark and leaves,while xanthine oxidase inhibition was shown by dichloromethane fraction of stem bark and leaves ***:This study emphasizes the important phytotoxic,genotoxic and enzyme inhibition effects of Sterculia diversifolia stem bark and ***,it is clear that Sterculia diversifolia stem bark and leaves possess phytotoxic,genotoxic and enzyme inhibitory agents.

关键词： Sterculia plant extracts phytotoxic mutagenicity tests enzymes

Crystal twins:self-supervised learning for crystalline material property prediction

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npj Computational Materials 2022年第1期8卷 2210-2217页

作者： Rishikesh Magar Yuyang Wang amir Barati Farimani Department of Mechanical Engineering Carnegie Mellon UniversityPittsburghPA15213USA Department of Materials Science and Engineering Carnegie Mellon UniversityPittsburghPA15213USA Department of Chemical Engineering Carnegie Mellon UniversityPittsburghPA15213USA

Machine learning(ML)models have been widely successful in the prediction of material ***,large labeled datasets required for training accurate ML models are elusive and computationally expensive to *** advances in Self-Supervised Learning(SSL)frameworks capable of training ML models on unlabeled data mitigate this problem and demonstrate superior performance in computer vision and natural language *** inspiration from the developments in SSL,we introduce Crystal Twins(CT):a generic SSL method for crystalline materials property prediction that can leverage large unlabeled *** adapts a twin Graph Neural Network(GNN)and learns representations by forcing graph latent embeddings of augmented instances obtained from the same crystalline system to be *** implement Barlow Twins and SimSiam frameworks in *** sharing the pre-trained weights when fine-tuning the GNN for downstream tasks,we significantly improve the performance of GNN on 14 challenging material property prediction benchmarks.

关键词： prediction property crystalline

Energy Management of Echelon Flying Northern Bald Ibises with Different Wingspans and Variable Wingtip Spacing

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Journal of Bionic Engineering 2022年第1期19卷 44-61页

作者： Mostafa Hassanalian amir Mirzaeinia Niyem Bawana Frank Heppner Department of Mechanical Engineering New Mexico TechSocorroNM87801USA Department of Computer Science and Engineering New Mexico TechSocorroNM87801USA Department of Biological Sciences University of Rhode IslandKingstonRI02881USA

In this paper,the flocking flight of Northern Bald Ibises(Geronticus eremita)and their induced drag during the flock are *** Bald Ibises are long-range migratory *** birds fly in an echelon and V-shaped formation,possibly to reduce their drag;therefore,as a result,they may save energy to fly *** aerodynamic drag forces of each individual bird and the flock are modeled *** analysis shows how,during flocking flight,the drag force reduces as the size of the flock ***,wingtip spacing effects on the total drag of the flock are *** fraction of drag reduction of individual ibises is also *** initial arrangement scenarios are considered for flocks of ibises of different sizes in this *** shuffling algorithms are applied for position switching and energy balancing of the ibises during their *** is suggested that ibises can save energy by means of different arrangements of flock members during long *** results indicate that how different sizes of the birds can manipulate their positions to fly further and save energy during migration.

关键词： Drag Echelon Energy Flock Ibises Wingtips spacing

Energy efficiency of small buildings with smart cooling system in the summer

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Frontiers in Energy 2022年第4期16卷 651-660页

作者： Yazdan DANESHVAR Majid SABZEHPARVAR Seyed amir Hossein HASHEMI Department of Civil Engineering Qazvin BranchIslamic Azad UniversityQazvin 314199-15195Iran Department of Industrial Engineering Collage of EngineeringKaraj BranchIslamic Azad UniversityKaraj 31499-68111Iran

In this paper,a novel cooling control strategy as part of the smart energy system that can balance thermal comfort against building energy consumption by using the sensing and machine programming technology was *** this goal,a general form of a building was coupled by the smart cooling system(SCS)and the consumption of energy with thermal comfort cooling of persons simulated by using the EnergyPlus software and compared with similar buildings without *** the beginning of the research,using the data from a survey in a randomly selected group of hundreds and by analyzing and verifying the results of the specific relationship between the different groups of people in the statistical society,the body mass index(BMI)and their thermal comfort temperature were obtained,and the sample building was modeled using the EnergyPlus *** result show that if an intelligent ventilation system that can calculate the thermal comfort temperature was used in accordance with the BMI of persons,it can save up to 35%of the cooling load of the building yearly.

关键词： smart home heating and cooling systems saving energy optimal consumption of energy

Development and evaluation of temperature-based deep learning models to estimate reference evapotranspiration

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Artificial Intelligence in Agriculture 2023年第3期9卷 61-75页

作者： Amninder Singh amir Haghverdi Department of Environmental Sciences University of California RiversideRiversideCA 92521USA

Efficient irrigation management of urban landscapes is critical in arid/semi-arid environments and depends on the reliable estimation of reference evapotranspiration(ETo).However,the available measured climatic data in urban areas are typically insufficient to use the standard Penman-Monteith for ETo ***,smart landscape irrigation controllers often use temperature-based ETo models for autonomous irrigation *** study focuses on developing deep learning temperature-based ETo models and comparing their performance with widely used empirical temperature-based models,including FAO Blaney&Criddle(BC),and Hargreaves&Samani(HS).We also developed a simple free and easy-to-access tool called DeepET for ETo estimation using the best-performing deep learning models developed in this *** artificial neural network(ANN)models were developed using raw weather data as inputs and the reconstructed signal obtained from the wavelet transform as *** addition,long short-term memory(LSTM)recurrent neural network(NN)and one-dimensional convolution neural network(CNN)models were developed.A total of 101 active California Irrigation Management Information System(CIMIS)weather stations were selected for this study,with>725,000 data points expanding from 1985 to *** performance of the models was evaluated against the standard CIMIS *** evaluated at the independent sites,the temperature-based DL(Deep Learning)models showed 15–20%lower mean absolute error values than the calibrated HS *** improvement in the performance of the ANN models was observed using reconstructed signals obtained from the wavelet *** study suggests that DL models offer a promising alternative for more accurate estimations of ETo in urban areas using only temperature as *** DeepET can be accessed from the Haghverdi Water Management Group website:http://***/***.

关键词： CIMIS Deep learning Irrigation Machine learning Wavelet transform

Automatic Diagnosis of COVID-19 Patients from Unstructured Data Based on a Novel Weighting Scheme

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Computers, Materials & Continua 2023年第1期74卷 1375-1392页

作者： amir Yasseen Mahdi Siti Sophiayati Yuhaniz Razak Faculty of Technology and Informatics Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia Computer Sciences and Mathematics College University of Thi_QarThi_Qar64000Iraq

The extraction of features fromunstructured clinical data of Covid-19 patients is critical for guiding clinical decision-making and diagnosing this viral ***,an early and accurate diagnosis of COVID-19 can reduce the burden on healthcare *** this paper,an improved Term Weighting technique combined with Parts-Of-Speech(POS)Tagging is proposed to reduce dimensions for automatic and effective classification of clinical text related to Covid-19 *** Frequency-Inverse Document Frequency(TF-IDF)is the most often used term weighting scheme(TWS).However,TF-IDF has several developments to improve its drawbacks,in particular,it is not efficient enough to classify text by assigning effective weights to the terms in unstructured *** this research,we proposed a modification term weighting scheme:RTF-C-IEF and compare the proposed model with four extraction methods:TF,TF-IDF,TF-IHF,and *** experiment was conducted on two new datasets for COVID-19 *** first datasetwas collected from government hospitals in Iraq with 3053 clinical records,and the second dataset with 1446 clinical reports,was collected from several different *** on the experimental results using several popular classifiers applied to the datasets of Covid-19,we observe that the proposed scheme RTF-C-IEF achieves is a consistent performer with the best scores in most of the ***,the modifiedRTF-C-IEF proposed in the study outperformed the original scheme and other employed term weighting methods in most ***,the proper selection of term weighting scheme among the different methods improves the performance of the classifier and helps to find the informative term.

关键词： Covid-19 clinical text natural language processing TWS machine learning