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Solid lipid nanoparticles for nose to brain delivery of haloperidol:in vitro drug release and pharmacokinetics evaluation

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Acta Pharmaceutica Sinica B 2014年第6期4卷 454-463页

作者： mohd yasir Udai Vir Singh Sara Department of Pharmacy Uttarakhand Technical UniversityDehradun 248007UttarakhandIndia Department of Pharmaceutics ITS Pharmacy CollegeMuradnagarGhaziabad 201206Uttar PradeshIndia College of Pharmaceutical Sciences Raj Kumar Goel Institute of TechnologyGhaziabad 201201Uttar PradeshIndia

In the present study,haloperidol(HP)-loaded solid lipid nanoparticles(SLNs)were prepared to enhance the uptake of HP to brain via intranasal(i.n.)*** were prepared by a modified emulsification-diffusion technique and evaluated for particle size,zeta potential,drug entrapment efficiency,in vitro drug release,and *** parameters were found to be in an acceptable *** vitro drug release was found to be 94.1674.78%after 24 h and was fitted to the Higuchi model with a very high correlation coefficient(R2¼0.9941).Pharmacokinetics studies were performed on albino Wistar rats and the concentration of HP in brain and blood was measured by high performance liquid *** brain/blood ratio at 0.5 h for HP-SLNs i.n.,HP *** HP *** 1.61,0.17 and 0.031,respectively,indicating direct nose-to-brain transport,bypassing the blood-brain *** maximum concentration(Cmax)in brain achieved from *** of HP-SLNs(329.17720.89 ng/mL,Tmax 2 h)was significantly higher than that achieved after i.v.(76.9577.62 ng/mL,Tmax 1 h),and i.n.(90.1376.28 ng/mL,Tmax 2 h)administration of HP *** highest drug-targeting efficiency(2362.43%)and direct transport percentage(95.77%)was found with HP-SLNs as compared to the other *** DTE(%)and DTP(%)suggest that HP-SLNs have better brain targeting efficiency as compared to other formulations.

关键词： Brain targeting Haloperidol Intranasal route Pharmacokinetics Solid lipid nanoparticles

Robust Face Recognition Against Expressions and Partial Occlusions

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International Journal of Automation and computing 2016年第4期13卷 319-337页

作者： Fadhlan Kamaru Zaman Amir Akramin Shafie yasir mohd Mustafah Faculty of Electrical Engineering Universiti Teknologi MARA Shah Alam 40450 Selangor Malaysia Department of Mechatronics Engineering International Islamic University Malaysia Kuala Lumpur 50728 Malaysia

Facial features under variant-expressions and partial occlusions could have degrading effect on overall face recognition performance. As a solution, we suggest that the contribution of these features on final classification should be determined. In order to represent facial features＇ contribution according to their variations, we propose a feature selection process that describes facial features as local independent component analysis （ICA） features. These local features are acquired using locally lateral subspace （LLS） strategy. Then, through linear discriminant analysis （LDA） we investigate the intraclass and interclass representation of each local ICA feature and express each feature＇s contribution via a weighting process. Using these weights, we define the contribution of each feature at local classifier level. In order to recognize faces under single sample constraint, we implement LLS strategy on locally linear embedding （LLE） along with the proposed feature selection. Additionally, we highlight the efficiency of the implementation of LLS strategy. The overall accuracy achieved by our approach on datasets with different facial expressions and partial occlusions such as AR, JAFFE, FERET and CK% is 90.70%. We present together in this paper survey results on face recognition performance and physiological feature selection performed by human subjects.

关键词： Face recognition facial expressions dimensionality reduction single sample feature selection.

Sauna Technique, Drying Kinetic Modeling and Effectiveness on Solar Drying Compared with Direct Drying in Drying Process of <i>Kappaphycus striatum</i>in Selakan Island Malaysia

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Energy and Power Engineering 2014年第9期6卷 303-315页

作者： Majid Khan Majahar Ali ahmad Fudholi Jumat Sulaiman mohd Hafidz Ruslan Suhaimi Md. yasir Mathematics with Economics Programme School of Science and Technology University Malaysia Sabah Kota Kinabalu Sabah Malaysia Solar Energy Research Institute (SERI) Universiti Kebangsaan Malaysia Bangi Selangor Malaysia Seaweed Research Unit (UPRL) School of Science and Technology University Malaysia Sabah Kota Kinabalu Sabah Malaysia

A sauna drying technique—the solar drier was designed and imposed, constructed and tested for drying of seaweed. The seaweed moisture content was decreased around 50% in 2-day sauna. Kinetic curves of drying of seaweed were known to be used in this system. The non-linear regression procedure was used to fit three different drying models. The models were compared with experimental data of red seaweed being dried on the daily average of air temperature about 40℃. The fit quality of the models was evaluated using the coefficient of determination (R2), Mean Bias Error (MBE) and Root Mean Square Error (RMSE). The highest values of R2 (0.99027), the lowest MBE (0.00044) and RMSE (0.03039) indicated that the Page model was the best mathematical model to describe the drying behavior of sauna dried seaweed. The percentage of the saved time using this technique was calculated at 57.9% on the average solar radiation of about 500 W/m2 and air flow rate of 0.056 kg/s.

关键词： Mathematical Modeling Sauna Technique Drying Curve Moisture Content Seaweed Kappaphycus striatum

Plant extract-loaded bacterial cellulose composite membrane for potential biomedical applications

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Journal of Bioresources and Bioproducts 2021年第1期6卷 26-32页

作者： Atiya Fatima Sumayia yasir mohdShariq Khan Sehrish Manan Muhammad Wajid Ullah Mazhar Ul-Islam Department of Chemical Engineering College of EngineeringDhofar UniversitySalalahSultanate of Oman Department of Biomedical Engineering Huazhong University of Science and TechnologyWuhan 430074China

Bacterial cellulose(BC)has been extensively explored as biomaterial for various biomedical applications owing to its non-toxic nature and unique structural morphology and impressive physicochemical and mechanical ***,its high production cost and lack of antimicrobial activity have restricted its large-scale production and therapeutic ***,the current study is aimed to devise a strategy for low-cost BC production and develop its composite with bioactive materials to bless it with antimicrobial ***,5 mm thick reticulated fibrous and highly porous BC was produced by utilizing the wasted rotten tomatoes as the production *** produced bacterial cellulose waste(BCW)(i.e.,produced from wastes)was ex-situ modified with bioactive plant extract(PE)obtained from Euclea schimperi,and the bactericidal activity of the developed BCW/PE was evaluated against Gram-positive Staphylococcus aureus and Gram-negative Escherichia coli through disc diffusion and colony forming unit(CFU)count *** BCW/PE composite showed high bactericidal activities against *** and produced clear inhibition zone whereas negligible activity was observed against ***,indicating its bactericidal activity mainly against the Gram-positive ***,this study illustrates that there is a huge potential for developing valuable biomaterials from food wastes and utilizing their liquid holding capabilities for value-added applications in medical and pharmaceutical fields.

关键词： Bacterial cellulose Food waste Plant extract Bactericidal activity Biomedical application

The Enhancement of Arabic Stemming by Using Light Stemming and Dictionary-Based Stemming

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Journal of Software Engineering and Applications 2011年第9期4卷 522-526页

作者： yasir Alhanini mohd Juzaiddin Ab Aziz 不详

Word stemming is one of the most important factors that affect the performance of many natural language processing applications such as part of speech tagging, syntactic parsing, machine translation system and information retrieval systems. Computational stemming is an urgent problem for Arabic Natural Language Processing, because Arabic is a highly inflected language. The existing stemmers have ignored the handling of multi-word expressions and identification of Arabic names. We used the enhanced stemming for extracting the stem of Arabic words that is based on light stemming and dictionary-based stemming approach. The enhanced stemmer includes the handling of multiword expressions and the named entity recognition. We have used Arabic corpus that consists of ten documents in order to evaluate the enhanced stemmer. We reported the accuracy values for the enhanced stemmer, light stemmer, and dictionary-based stemmer in each document. The results obtain shows that the average of accuracy in enhanced stemmer on the corpus is 96.29%. The experimental results showed that the enhanced stemmer is better than the light stemmer and dictionary-based stemmer that achieved highest accuracy values.

关键词： Dictionary-Based Stemmer Arabic Morphological Analyzer Named Entity Recognition

Inferior glenohumeral joint dislocation with greater tuberosity avulsion

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Chinese Journal of Traumatology 2015年第3期18卷 181-183页

作者： mohd Faizan Latif Zafar Jilani Mazhar Abbas yasir Salam Siddiqui Aamir Bin Sabir M.K.A. Sherwani Saifullah Khalid Department of Orthopaedic Surgery and Radiodiagnosis Jawaharlal Nehru Medical College Aligarh Muslim University Aligarh Uttar Pradesh 202002 India

Inferior glenohumeral dislocation is the least common type of glenohumeral dislocations. It may be associated with fractures of the adjacent bones and neurovascular compromise. It should be treated immediately by close reduction. The associated neuropraxia usually recovers with time. Traction-counter traction method is commonly used for reduction followed by immobilization of the shoulder for three weeks. Here, we report a case of inferior glenohumeral joint dislocation with greater tuberosity fracture with transient neurovascular compromise and present a brief review of the literature.

关键词： Shoulderjoint Shoulder dislocation Fractures bone