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Implantless patellar fixation in medial patellofemoral ligament reconstruction

Chinese Journal of Traumatology 2019年第5期22卷 281-285页

作者： Ashish Devgan Umesh Yadav Pankaj Sharma Rajesh Rohilla Radhika Devgan Pravesh Mudgil aman verma Vasudha Dhupper Department of Orthopaedics PG1MSRohtakHaryanaIndia GMERS Medical College SolaAhemdabadGujratIndia Department of Biochemistry PG1MSRohtakIndia

Purpose:The medial patellofemoral ligament(MPFL)acts as primary restraint to lateral patellar dislocation and its rupture has been reported in almost all cases of acute patellar *** surgical techniques have been described for MPFL reconstruction,using many femoral and patellar fixation techniques and different *** article details our technique for MPFL reconstruction using semitendinosus graft which avoids the use of implant at patellar ***:Twenty patients(8 males and 12 females)with complaints regarding acute and chronic lateral patellar instability were evaluated and treated by MPFL reconstruction *** mean age of patients was 21 years(range 17-34 years).MPFL reconstruction was performed using semitendinosus graft passing through two parallel,obliquely directed tunnels created in *** of graft was done with an interference screw only at the femoral *** follow-up period after intervention was 26.4 months(range 23-30 months).Results were evaluated using Kujala ***:All patients gained adequate patellar stability and full arc of *** incidence of patella fracture was *** were no postoperative complications related to the *** was no recurrence of instability in patella at final ***:Passing the graft through the tunnels in patella without use of any implant has given excellent functional outcome and moreover has the advantages of less implant-related complications and cost-effectiveness.

关键词： Patellar dislocation Patellar instability Medial patellofemoral ligament Semitendinosus graft

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An Intelligent Forecasting Model for Disease Prediction Using Stack Ensembling Approach

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Computers, Materials & Continua 2022年第3期70卷 6041-6055页

作者： Shobhit verma Nonita Sharma aman Singh Abdullah Alharbi Wael Alosaimi Hashem Alyami Deepali Gupta Nitin Goyal Computer Science&Engineering Department Dr.B.R.Ambedkar National Institute of TechnologyJalandharIndia Computer Science&Engineering Department Lovely Professional UniversityJalandharIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia

This research work proposes a new stack-based generalization ensemble model to forecast the number of incidences of conjunctivitis *** addition to forecasting the occurrences of conjunctivitis incidences,the proposed model also improves performance by using the ensemble *** rate of acute Conjunctivitis per 1000 for Hong Kong is collected for the duration of the first week of January 2010 to the last week of December ***-processing techniques such as imputation of missing values and logarithmic transformation are applied to pre-process the data sets.A stacked generalization ensemble model based on Auto-ARIMA(Autoregressive Integrated Moving Average),NNAR(Neural Network Autoregression),ETS(Exponential Smoothing),HW(Holt Winter)is proposed and applied on the *** analysis is conducted on the collected dataset of conjunctivitis disease,and further compared for different performance *** result shows that the RMSE(Root Mean Square Error),MAE(Mean Absolute Error),MAPE(Mean Absolute Percentage Error),ACF1(Auto Correlation Function)of the proposed ensemble is decreased *** the RMSE,for instance,error values are reduced by 39.23%,9.13%,20.42%,and 17.13%in comparison to Auto-ARIMA,NAR,ETS,and HW model *** research concludes that the accuracy of the forecasting of diseases can be significantly increased by applying the proposed stack generalization ensemble model as it minimizes the prediction error and hence provides better prediction trends as compared to Auto-ARIMA,NAR,ETS,and HW model applied discretely.

关键词： Disease prediction stack ensemble neural network autoregression exponential smoothing auto-ARIMA holt winter

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A review on medicinal plants in north region of India: traditional use in Vedic culture and their pharmacological properties culture and their pharmacological properties

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TMR Integrative Medicine 2022年第26期6卷 1-11页

作者： Sonal verma Sunita Arya Robina aman Department of Chemistry S.S.J.CampusAlmora263601UttarakhandIndia.

Medicinal plants are widely employed for healing reasons in many native systems of medicine and are becoming increasingly popular in modern culture as alternatives to manufactured *** current study is a descriptive review in which papers were searched from several databases such as Springer,Wiley,Taylor and Francis,Elsevier,*** is time to rethink the way we improve our immune systems and seek evidence-based treatments that best use plant-based medicines to benefit *** principles are responsible for medicinal plants’therapeutic actions and give limitless chances for novel drug leads because of their exceptional availability of chemical *** chemical characteristics of the included bioactive components determine whether standardized plant extracts are beneficial or poisonous.A summary of research papers on plants such as garlic,aloe vera,stinging nettle,saffron,clove,holy basil,turmeric,cinnamon,giloe,liquorice,and aloe vera having bioactive molecules and cures for several diseases such as influenza virus,gastrointestinal cancer neurodegenerative disorder,cardiovascular diseases,urinary disorder,diabetes,skin disease,obesity,and respiratory disorder is included in this overview.

关键词： Ayurveda medicinal plants bioactive saffron garlic aloe vera stinging nettle pharmacological properties

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