Data Science and Machine Learning Approach to Improve E-Commerce Sales Performance on Social Web

Hussain Saleem,Khalid Bin Muhammad,Altaf H. Nizamani,Samina Saleem,M. Khawaja Shaiq Uddin,Syed Habib-ur-Rehman,Amin Lalani,Ali Muhammad Aslam International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.8

E-Commerce is a buzzword well known for electronic commerce activities including but not limited to the online shopping, digital payment transactions, and B2B online trading. In today's digital age, e-commerce has been playing a very important and vital role in areas such as retail shopping, sales automation, supply chain management, marketing and advertisement, and payment services. With a huge amount of data been collected from various e-commerce services available, there are multiple opportunities to use that data to analyze graphs and trends. Strategize profitable activities, and forecast future trade. This paper explains a contemporary approach for collecting key data metrics and implementing cost-effective automation that will support in improving conversion rates and sales performance of the e-commerce websites resulting in increased profitability.

Behavioral Tendency Analysis towards E-Participation for Voting in Political Elections using Social Web

Hussain Saleem,Jamshed Butt,Altaf H. Nizamani,Amin Lalani,Fawwad Alam,Samina Saleem International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.2

The issue "Exploring Social Media and Other Crucial Success Elements of Attitude towards Politics and Intention for Voting in Pakistan" is a huge study embracing more issues. The politics of Pakistan is basically the politics of semantic groups. Pakistan is a multilingual state more than six languages. There are 245 religious parties in Pakistan, as elaborated by the Daily Times research. The use of social media sites in Pakistan peaked to its maximum after announcement of election schedule by the Election Commission of Pakistan in March 22, 2013. Most of the political parties used it for the recent elections in Pakistan to promote their agenda and attract country's 80 million registered electors. This study was aiming to investigate the role of social media and other critical variables in the attitude towards politics and intention for voting.

Impact of a Breast Health Awareness Activity on the Knowledge Level of the Participants and its Association with Socio-Demographic Features

Khokher, Samina,Qureshi, Muhammad Usman,Fatima, Warda,Mahmood, Saqib,Saleem, Afaf Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.14

The developing countries have higher mortality rates for breast cancer. A reason for this is presentation at advanced stages due to low levels of public awareness. Activities are arranged by health authorities of developing countries to increase the knowledge of women but their effectiveness has not been evaluated in detail. A multiple choice questionnaire with questions about socio-demographic profile and questions about breast cancer knowledge was designed in local language Urdu, to evaluate the knowledge of the participants before and after an audio visual educational activity in Lahore, Pakistan. Scores of 0-2, 3-5 and 6-8 were ranked as poor, fair and good, respectively. Among 146 participants these scores were achieved by 1%, 55% and 45% before activity and 0%, 16% and 84% after the activity. Overall 66% of participants increased their knowledge score. Younger age, higher education, reliance on television as source of information and being a housewife were associated with better impact of the awareness activity. For the six knowledge related questions 3%, 5%, 11%, 23%, 33% and 44% more participants gave correct answers after the activity. However 6% and 7% fewer participants answered correctly for 2 questions related to the cause and the best prevention for breast cancer. The study indicated that awareness activities are effective to increase the knowledge of women and better impact is associated with higher education and younger age of women. The component analysis showed that the questions and related presentations using medical terms have a negative impact and should not therefore be used. Analysis of activity therefore leads to identification of deficiencies which can be remedied in future.

Clinicopathologic Profile of Breast Cancer Patients in Pakistan: Ten Years Data of a Local Cancer Hospital

Khokher, Samina,Qureshi, Muhammad Usman,Riaz, Masooma,Akhtar, Naseem,Saleem, Afaf Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.2

Breast cancer is the most frequent cancer of women worldwide, with considerable geographic and racial/ethnic variation. Data are generally derived from population based cancer registries in the developed countries but hospital data are the most reliable source in the developing countries. Ten years data from 1st Jan 2000 to 31st Dec 2009 of a cancer hospital in Pakistan were here analyzed by descriptive statistics to evaluate the clinicopathologic profile of local breast cancer patients. Among 28,740 cancer patients, 6,718 were registered as breast cancer. The female to male ratio was 100:2. Breast cancer accounted for 23% of all and 41% of female cancers. Some 46% were residents of Lahore, with a mean age of $47{\pm}12$ years. Less than 1% were at Stage 0 and 10%, 32%, 35% and 23% were at Stage I, II, III and IV respectively. Histopathology was unknown in 4% while 91%, 2% and 1% had invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC) and mucinous carcinoma respectively. Rare carcinomas accounted for the rest. Tumor grade 1, 2 and 3 was 11%, 55% and 34% among the known. Profile of breast cancer patients in Pakistan follows a pattern similar to that of other developing countries with earlier peak age and advanced disease stage at presentation. The male breast cancer accounts for higher proportion in the local population. Local women have higher frequency of IDC and lower frequency of ILC and DCIS, owing probably to a different risk profile. Use of hospital information systems and establishment of population based cancer registry is required to have accurate and detailed local data. Promotion of breast health awareness and better health care system is required to decrease the burden of advanced disease.

Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

Kuchalambal Agadi,Asimina Dominari,Sameer Saleem Tebha,Asma Mohammadi,Samina Zahid 대한신경외과학회 2023 Journal of Korean neurosurgical society Vol.66 No.6

Central nervous system tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI’s role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O’Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient’s prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive. AI, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

Secondary Metabolites Production and Plant Growth Promotion by Pseudomonas chlororaphis and P. aurantiaca Strains Isolated from Cactus, Cotton, and Para Grass

( Izzah Shahid ),( Muhammad Rizwan ),( Deeba Noreen Baig ),( Rahman Shahzaib Saleem ),( Kauser A. Malik ),( Samina Mehnaz ) 한국미생물 · 생명공학회 2017 Journal of microbiology and biotechnology Vol.27 No.3

Fluorescent pseudomonads have been isolated from halophytes, mesophytes, and xerophytes of Pakistan. Among these, eight isolates, GS-1, GS-3, GS-4, GS-6, GS-7, FS-2 (cactus), ARS-38 (cotton), and RP-4 (para grass), showed antifungal activity and were selected for detailed study. Based on biochemical tests and 16S rRNA gene sequences, these were identified as strains of P. chlororaphis subsp. chlororaphis and aurantiaca. Secondary metabolites of these strains were analyzed by LC-MS. Phenazine-1-carboxylic acid (PCA), 2-hydroxy-phenazine, Cyclic Lipopeptide (white line-inducing principle (WLIP)), and lahorenoic acid A were detected in variable amounts in these strains. P. aurantiaca PB-St2 was used as a reference as it is known for the production of these compounds. The phzO and PCA genes were amplified to assure that production of these compounds is not an artifact. Indole acetic acid production was confirmed and quantified by HPLC. HCN and siderophore production by all strains was observed by plate assays. These strains did not solubilize phosphate, but five strains were positive for zinc solubilization. Wheat seedlings were inoculated with these strains to observe their effect on plant growth. P. aurantiaca strains PB-St2 and GS-6 and P. chlororaphis RP- 4 significantly increased both root and shoot dry weights, as compared with uninoculated plants. However, P. aurantiaca strains FS-2 and ARS-38 significantly increased root and shoot dry weights, respectively. All strains except PB-St2 and ARS-38 significantly increased the root length. This is the first report of the isolation of P. aurantiaca from cotton and cactus, P. chlororaphis from para grass, WLIP and lahorenoic acid A production by P. chlororaphis, and zinc solubilization by P. chlororaphis and P. aurantiaca.