Latest Transformations of XP Process Model: A Systematic Literature Review

Khan, Sadia,Fahiem, Muhammad Abuzar,Bakhtawar, Birra,Aftab, Shabib,Ahmad, Munir,Aziz, Nauman,Almotilag, Abdullah,Elmitwally, Nouh Sabri International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.6

Process model is an integral part of software industry. Different process models are used now a days in the industry for different software projects. Process models need to be tailored to address some specific project needs. Agile models are considered as the most widely used process models nowadays. They have distinctive features and the ability to address the dynamic needs of today's software development. Extreme programming (XP) is one of the extensively used agile process model especially for small projects. Many researchers have tried to mold XP to overcome its shortcomings and for better working in specific scenarios. Therefore, many customized versions of XP process model are available today. In this paper, we are going to analyze the latest customizations of XP. For this purpose, a systematic literature review is conducted on studies published from 2012 till 2018 in renowned online search libraries. This comprehensive review highlights the purpose of customizations, along with the areas in which customizations are made, and phases & practices which are being customized. This work will serve the researchers to discover the modern versions of XP process model as well as will provide a baseline for future directions for customizations.

Somatic JAK-2 V617F Mutational Analysis in Polycythemia Rubra Vera: a Tertiary Care Center Experience

Sultan, Sadia,Irfan, Syed Mohammed,Khan, Sadia Rashid Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.3

Background: Polycythemia rubra vera (PV), being a primary polycythemia, is caused by neoplastic proliferation of erythroid, megakaryocytic and granulocytic lineages which result in panmyelosis. PV patients have a somatic acquired mutation in the Janus kinase (JAK2) pathway, rendering cell proliferation independent of the normal regulatory mechanisms that regulate erythropoiesis. The rational of this study was to determine the prevalence of the JAK-2 V617F mutation in Pakistani patients with PV. Materials and Methods: In this cross sectional study, 26 patients with PV were enrolled from January 2010 to December 2014. Patients were diagnosed based on WHO criteria for PV. All were screened for G-T point mutation (V617F) in the JAK2 gene on chromosome 9 by an allele specific PCR. Results: The mean age was $53.4{\pm}9.31years$ (range 36-72) and the male to female ratio was 2:1. The frequency of JAK2 V617F positivity in our PV patients was found to be 92.3%. Overall 30.7% of patients were asymptomatic and remaining 69.3% presented with symptomatic disease. The mean hemoglobin was $18.1{\pm}1.9g/dl$ with the mean hematocrit of $55.6{\pm}8.3%$. The mean total leukocyte count was $12.8{\pm}7.1{\times}10^9/l$ and the platelet count was $511{\pm}341.9{\times}10^9/l$. A positive correlation of JAK2 V617F mutation was established with high TLC count (P=0.01). No correlation of JAK2 V617F could be established with age or gender (P>0.05). Conclusions: The JAK2 V617F mutation frequency in our PV patients was similar to those reported internationally. Screening for the mutation in all suspected PV cases could be beneficial in differentiating patients with reactive and clonal erythrocytosis.

Improvement of Jensen's Inequality in terms of Gâteaux Derivatives for Convex Functions in Linear Spaces with Applications

Khan, Muhammad Adil,Khalid, Sadia,Pecaric, Josip Department of Mathematics 2012 Kyungpook mathematical journal Vol.52 No.4

In this paper, we prove some inequalities in terms of G$\hat{a}$teaux derivatives for convex functions defined on linear spaces and also give improvement of Jensen's inequality. Furthermore, we give applications for norms, mean $f$-deviations and $f$-divergence measures.

Effect of Dietary Supplementation of Bioactive Peptides on Antioxidant Potential of Broiler Breast Meat and Physicochemical Characteristics of Nuggets

Sadia Aslam,Rizwan Shukat,Muhammad Issa Khan,Muhammad Shahid 한국축산식품학회 2020 한국축산식품학회지 Vol.40 No.1

Poultry meat is generally exposed to quality deterioration due to lipid oxidation during storage. Oxidative stability of meat can be increased by feed supplementation. Aim of the current study was to investigate the effect of dietary supplementation of fish waste derived bioactive peptides on antioxidant potential of broiler breast meat and physico-chemical characteristics and quality parameters of nuggets prepared from breast meat. 180 broiler birds (six groups of 30 birds) were purchased. Each group was given different concentrations of bioactive peptides i.e. 0, 50, 100, 150, 200, and 250 mg/kg feed. After completion of six weeks birds were slaughtered and breast meat was stored at –18℃ for six months. Nuggets were prepared and stored at –18℃ for 45 days. Meat samples were analyzed for antioxidant activity [total phenolic contents (TPC), DPPH• scavenging activity, and ferric reducing antioxidant power] and lipid oxidation assay at regular intervals of 1, 2, 3, 4, 5, and 6 months while nuggets were analyzed for quality (pH, color, texture and water holding capacity) parameters after regular interval of 15 days. A significant (p<0.05) effect of feed supplementation was observed on antioxidant status such as TPC, DPPH• scavenging activity, and FRAP of broiler breast meat. Dietary interventions of bioactive peptides significantly (p<0.05) delayed lipid oxidation of breast meat than control. All the quality parameters were also significantly affected due to dietary bioactive peptides and storage duration. Thus, dietary interventions of bioactive peptides can increase the antioxidant and shelf stability of broiler breast meat and nuggets.

MEDICINAL BENEFITS OF ADHATODA VASICA NEES.-IN UNANI AND CONTEMPORARY MEDICINE

Khan, Rabia,Shamsi, Yasmeen,Nikhat, Sadia Cellmed Orthocellular Medicine and Pharmaceutical 2020 셀메드 (CellMed) Vol.10 No.2

Arusa (Adhatoda vasica) is an important medicinal plant widely used in Unani system of medicine of (Family-Acanthaceae). The leaves of Adhatoda vasica contain several biologically active phytochemicals such as alkaloids, tannins, saponins, phenolics and flavonoids. It mainly consists of pyrroquinazoline, alkaloids, viz. vasicine, vasicol, vasicinone, peganine along with other minor constituents. The plant possesses diverse pharmacological activities, In Unani system of medicine, the drug is described as having dafa-e-tashannuj (anti-spasmodic), qatil-e-jarasim (antibiotic), mukhrij-e-balgham (expectorant), dafa-e-humma (antipyretic) properties due to which it is prescribed in a wide range of ailments like influenza, tuberculosis, bronchitis, gastric ulcers etc. Leaf juice is beneficial in the treatment of dysentery and diarrhoea. Various other activities like radio modulation, hypoglycaemic effect, cardiovascular protection, antitubercular, antiviral, hepatoprotective and antioxidant activity have also been reported.

Simultaneous feature selection and discretization based on mutual information

Sharmin, Sadia,Shoyaib, Mohammad,Ali, Amin Ahsan,Khan, Muhammad Asif Hossain,Chae, Oksam Elsevier 2019 Pattern recognition Vol.91 No.-

<P><B>Abstract</B></P> <P>Recently mutual information based feature selection criteria have gained popularity for their superior performances in different applications of pattern recognition and machine learning areas. However, these methods do not consider the correction while computing mutual information for finite samples. Again, finding appropriate discretization of features is often a necessary step prior to feature selection. However, existing researches rarely discuss both discretization and feature selection simultaneously. To solve these issues, Joint Bias corrected Mutual Information (JBMI) is firstly proposed in this paper for feature selection. Secondly, a framework namely modified discretization and feature selection based on mutual information is proposed that incorporates JBMI based feature selection and dynamic discretization, both of which use a <I>χ</I> <SUP>2</SUP> based searching method. Experimental results on thirty benchmark datasets show that in most of the cases, the proposed methods outperform the state-of-the-art methods.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We address discretization and feature selection jointly with a single criteria. </LI> <LI> The proposed discretization method is dynamic and independent of classification algorithms. </LI> <LI> The amount of errors introduced for Relevancy, Redundancy and Complementary Information are derived analytically. </LI> <LI> It is also analytically shown that Relevancy, Redundancy and Complementary follows χ<SUP>2</SUP>-distribution. </LI> <LI> A χ<SUP>2</SUP>-based search is introduced to select a small set of features and to discretize them with small number of intervals. </LI> </UL> </P>

A review of carbon-based materials and their coating techniques for biomedical implants applications

Hassan Sadia,Nadeem Aroosa Younis,Qaiser Hafsah,Kashif Amer Sohail,Ahmed Ammad,Khan Khushbukhat,Altaf Amna 한국탄소학회 2023 Carbon Letters Vol.33 No.4

Carbon-based materials have emerged as an excellent class of biomedical materials due to their exceptional mechanical properties, lower surface friction, and resistance to wear, tear, and corrosion. Experimental studies have shown the promising results of carbon-based coatings in the field of biomedical implants. The reasons for their successful applications are their ability to suppress thrombo-inflammatory reactions which are evoked as an immune response due to foreign body object implantation. Different types of carbon coatings such as diamond-like carbon, pyrolytic carbon, silicon carbide, and graphene have been extensively studied and utilized in various fields of life including the biomedical industry. Their atomic arrangement and structural properties give rise to unique features which make them suitable for multiple applications. Due to the specificity and hardness of carbon-based precursors, only a specific type of coating technique may be utilized for nanostructure development and fabrication. In this paper, different coating techniques are discussed which were selected based on the substrate material, the type of implant, and the thickness of coating layer. Chemical vapor deposition-based techniques, thermal spray coating, pulsed laser deposition, and biomimetic coatings are some of the most common techniques that are used in the field of biomaterials to deposit a coating layer on the implant. Literature gathered in this review has significance in the field of biomedical implant industry to reduce its failure rate by making surfaces inert, decreasing corrosion related issues and enhancing biocompatibility.

Effect of Al Concentration on Photoluminescence Properties of Sol-Gel Derived Hydrogen Annealed ZnO

Firoz Khan,Sadia Ameen,Minwu Song,Mushahid Husain,Abdul Mobin,Hyung-Shik Shin 대한금속·재료학회 2013 METALS AND MATERIALS International Vol.19 No.2

The effect of the Al/Zn atomic ratio on the photoluminescence properties of hydrogen annealed undoped and Al rich ZnO (AZO) films was studied. The Al/Zn atomic ratios in the AZO films were varied from 0to 40%. All the AZO films exhibited three peaks in the UV, green and red regions, whereas the undoped ZnO films had two peaks in the UV and green regions. The PL intensity in the UV and red regions increased with an increase in Al concentrations. The highest PL intensity in the UV region was observed in the 20% Al/Zn atomic ratio due to improvement in crystal quality which was also confirmed by XRD measurements. The PL emission in the red region was due to complex luminescent centers like (Vzn-Alzn)−. A blue shift was seen in the red region with the introduction of Al. The 20% AZO films obtained the strongest signal at ~420 cm−1, whereas no FTIR signal was observed at 420 cm−1 in undoped ZnO. The bond signature at ~420 cm−1 might be responsible for the highest PL intensity in NBE and red regions.

Toward modeling and optimization of features selection in Big Data based social Internet of Things

Ahmad, Awais,Khan, Murad,Paul, Anand,Din, Sadia,Rathore, M. Mazhar,Jeon, Gwanggil,Choi, Gyu Sang North-Holland 2018 Future generations computer systems Vol.82 No.-

<P><B>Abstract</B></P> <P>The growing gap between users and the Big Data analytics requires innovative tools that address the challenges faced by big data volume, variety, and velocity. Therefore, it becomes computationally inefficient to analyze and select features from such massive volume of data. Moreover, advancements in the field of Big Data application and data science poses additional challenges, where a selection of appropriate features and High-Performance Computing (HPC) solution has become a key issue and has attracted attention in recent years. Therefore, keeping in view the needs above, there is a requirement for a system that can efficiently select features and analyze a stream of Big Data within their requirements. Hence, this paper presents a system architecture that selects features by using Artificial Bee Colony (ABC). Moreover, a Kalman filter is used in Hadoop ecosystem that is used for removal of noise. Furthermore, traditional MapReduce with ABC is used that enhance the processing efficiency. Moreover, a complete four-tier architecture is also proposed that efficiently aggregate the data, eliminate unnecessary data, and analyze the data by the proposed Hadoop-based ABC algorithm. To check the efficiency of the proposed algorithms exploited in the proposed system architecture, we have implemented our proposed system using Hadoop and MapReduce with the ABC algorithm. ABC algorithm is used to select features, whereas, MapReduce is supported by a parallel algorithm that efficiently processes a huge volume of data sets. The system is implemented using MapReduce tool at the top of the Hadoop parallel nodes with near real-time. Moreover, the proposed system is compared with Swarm approaches and is evaluated regarding efficiency, accuracy and throughput by using ten different data sets. The results show that the proposed system is more scalable and efficient in selecting features.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Presents an architecture for Social Internet of Things. </LI> <LI> Modeling and optimization of Big Data. </LI> <LI> System architecture based on ABC. </LI> <LI> MapReduce with ABC to enhance system efficiency. </LI> </UL> </P>

Biowall for Indoor Air Quality Management

Atif Mustafa,Sadia Khan,Qazi Muneeb Ur Rehman 한국대기환경학회 2021 한국대기환경학회 학술대회논문집 Vol.2021 No.10

Globally, Indoor Air Quality (IAQ) has been recognized as potential risk for dwellers as poor IAQ has a direct impact on overall health and productivity of occupants. With the onset of Covid-19 pandemic people spend 95-99% of their time indoors. Engineering control strategies for IAQ management include ventilation and air purification using filters. Biowall is a botanical air filter that utilizes the natural capability of plants to purify indoor air by reducing pollutants. A biowall was locally designed, fabricated and tested for IAQ management at NED University campus. Indoor air quality can be monitored in real-time and biowall components like fans and pumps can be controlled by application of Internet of Things (IoT). Real-time monitoring includes on-site display of air quality parameters: total volatile organic compounds (TVOCs), carbon dioxide (CO₂), humidity and temperature. The real-time air quality can also be viewed using a specially developed mobile application. Initial results showed that the locally manufactured biowall improved the indoor air quality TVOCs (40% reduction) and CO₂ (5% reduction).