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Occupational Therapy Intervention for Malunion of Distal Radial Fracture: A Case Report
Noor Mohammad(Noor Mohammad ),Nahid Khan(Nahid Khan ) 셀메드 세포교정의약학회 2023 셀메드 (CellMed) Vol.13 No.6
Objective: Malunion of distal radial fracture can result in pain, stiffness, and decreased function of the affected limb. Occupational therapy intervention can improve outcomes in these patients, but there is limited research on the effectiveness of such interventions. Case Description: This case report describes the occupational therapy intervention and outcomes for a 44-year-old female patient with malunion of left distal radial fracture. The patient received 8 weeks of occupational therapy intervention consisting of therapeutic exercises, joint mobilization, and fine motor activities. The patient demonstrated significant improvements in range of motion, grip strength, and activities of daily living (ADL) in her left hand. The patient also reported less pain and greater ease in performing activities of daily living. Conclusion: Occupational therapy intervention can be effective in improving outcomes for patients with malunion of distal radial fracture. This case report highlights the importance of early intervention and interdisciplinary collaboration among healthcare professionals to optimize patient outcomes. Further research is needed to explore the effectiveness of occupational therapy interventions for patients with malunion of distal radial fracture.
FRACTIONAL DYNAMICAL SYSTEMS FOR VARIATIONAL INCLUSIONS INVOLVING DIFFERENCE OF OPERATORS
Khan, Awais Gul,Noor, Muhammad Aslam,Noor, Khalida Inayat The Honam Mathematical Society 2019 호남수학학술지 Vol.41 No.1
In the present paper, we propose some new fractional dynamical systems. These dynamical systems are associated with the variational inclusions involving difference of operators problem. The equivalence between the variational inclusion problems and the fixed point problems and as well as the resolvent equations are used to suggest fractional resolvent dynamical systems and fractional resolvent equation dynamical systems, respectively. We show that these dynamical systems converge ${\alpha}$-exponentially to the unique solution of variational inclusion problems under fewer restrictions imposed on operators and parameters. Several special cases also discussed.
RELATIVE RECIPROCAL VARIATIONAL INEQUALITIES
Khan, Awais Gul,Noor, Muhammad Aslam,Pervez, Amjad,Noor, Khalida Inayat The Honam Mathematical Society 2018 호남수학학술지 Vol.40 No.3
In this paper, we introduce a new class of reciprocal convex set which is called as relative reciprocal convex set. We establish a necessary and sufficient condition for the minimum of the differentiable relative reciprocal convex function. This condition can be viewed as a new class of variational inequality which is called relative reciprocal variational inequality. Using the auxiliary principle technique we discuss the existence criteria for the solution of relative reciprocal variational inequality. Some special cases which are naturally included in our main results are also discussed.
Nasib Khan,Idrees Khan,Noor Zada,Khalid Saeed Ibrahim 한국섬유공학회 2022 Fibers and polymers Vol.23 No.5
Removal of toxic pollutants such as heavy metals and dyes from water has received great attention due to asignificant decline in the clean water level, worldwide. Herein, we attempted to remove both metals and dyes using a singlematerial. Nylon 66 (nylon) films were prepared and then functionalized with nitric acid. The functionalized nylon 66 (Fnylon)was utilized for the adsorption of copper (II) (Cu(II)) ions from an aqueous solution. The adsorption study revealed theefficient adsorption of Cu (II) ions through F-nylon. Moreover, the adsorption data were fitted to Langmuir, Freundlich, andTemkin isotherms, and the values are best fitted to Langmuir isotherm as compared with Freundlich isotherm. The nylon 66,F-nylon, and Cu/F-nylon were characterized through scanning electron microscopy (SEM), energy dispersive X-ray (EDX),Fourier-transform infrared spectroscopy (FTIR), and thermogravimetric analysis (TGA). SEM of F-nylon samples showedhighly porous surface and membrane-like appearance that is suitable for the metal adsorption. The EDX analysis confirmedthe overall elemental composition of the adsorbed copper on F-nylon surface. FTIR was helpful to confirm the introductionof new functional groups after modification of nylon, while TGA analysis demonstrated significant thermal stability of allsamples. The copper adsorbed F-nylon 66 (Cu/F-nylon) was further utilized as a photocatalyst for the photodegradation ofEriochrome Black T (EBT) dye. Cu/F-nylon and recovered Cu/F-nylon films degraded about 93 and 89.3 % EBT dye within240 min, respectively. The optimum conditions for EBT photodegradation were pH 6, 0.05 g photocatalyst dosage, and aninitial dye concentration of 60 ppm.
Fractional dynamical systems for variational inclusions
Awais Gul Khan,MUHAMMAD ASLAM NOOR,KHALIDA INAYAT NOOR 호남수학회 2019 호남수학학술지 Vol.41 No.1
In the present paper, we propose some new fractional dynamical systems. These dynamical systems are associated with the variational inclusions involving difference of operators problem. The equivalence between the variational inclusion problems and the fixed point problems and as well as the resolvent equations are used to suggest fractional resolvent dynamical systems and fractional resolvent equation dynamical systems, respectively. We show that these dynamical systems converge $\alpha $-exponentially to the unique solution of variational inclusion problems under fewer restrictions imposed on operators and parameters. Several special cases also discussed.
RELATIVE RECIPROCAL VARIATIONAL INEQUALITIES
( Awais Gul Khan ),( Muhammad Aslam Noor Amjad Pervez ),( Khalida Inayat Noor ) 호남수학회 2018 호남수학학술지 Vol.40 No.3
In this paper, we introduce a new class of reciprocal convex set which is called as relative reciprocal convex set. We establish a necessary and sufficient condition for the minimum of the differentiable relative reciprocal convex function. This condi-tion can be viewed as a new class of variational inequality which is called relative reciprocal variational inequality. Using the auxiliary principle technique we discuss the existence criteria for the solu-tion of relative reciprocal variational inequality. Some special cases which are naturally included in our main results are also discussed.
SOME INEQUALITIES FOR GEOMETRICALLY PREINVEX FUNCTIONS
Muhammad Aslam Noor,Khalida Inayat Noor,SUNDAS KHAN 장전수학회 2016 Proceedings of the Jangjeon mathematical society Vol.19 No.1
In this paper, we introduce and investigate a new class of preinvex functions, which is called geometrically preinvex functions. Some new Hermite- Hadamard type inequalities are obtained. Results continue to hold for geomet- rically convex function, which can be obtained as special cases. The idea and technique of this paper may stimulate further research in this field.
Modeling shotcrete mix design using artificial neural network
Khan Muhammad,Noor Mohammad,Fazal Rehman 사단법인 한국계산역학회 2015 Computers and Concrete, An International Journal Vol.15 No.2
“Mortar or concrete pneumatically projected at high velocity onto a surface” is called Shotcrete. Models that predict shotcrete design parameters (e.g. compressive strength, slump etc) from any mixing proportions of admixtures could save considerable experimentation time consumed during trial and error based procedures. Artificial Neural Network (ANN) has been widely used for similar purposes; however, such models have been rarely applied on shotcrete design. In this study 19 samples of shotcrete test panels with varying quantities of water, steel fibers and silica fume were used to determine their slump, cost and compressive strength at different ages. A number of 3-layer Back propagation Neural Network (BPNN) models of different network architectures were used to train the network using 15 samples, while 4 samples were randomly chosen to validate the model. The predicted compressive strength from linear regression lacked accuracy with R2 value of 0.36. Whereas, outputs from 3-5-3 ANN architecture gave higher correlations of R2 = 0.99, 0.95 and 0.98 for compressive strength, cost and slump parameters of the training data and corresponding R2 values of 0.99, 0.99 and 0.90 for the validation dataset. Sensitivity analysis of output variables using ANN can unfold the nonlinear cause and effect relationship for otherwise obscure ANN model.