Autism Spectrum Disorder Detection in Children using the Efficacy of Machine Learning Approaches

Tariq Rafiq,Zafar Iqbal,Tahreem Saeed,Yawar Abbas Abid,Muneeb Tariq,Urooj Majeed,Akasha International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.4

For the future prosperity of any society, the sound growth of children is essential. Autism Spectrum Disorder (ASD) is a neurobehavioral disorder which has an impact on social interaction of autistic child and has an undesirable effect on his learning, speaking, and responding skills. These children have over or under sensitivity issues of touching, smelling, and hearing. Its symptoms usually appear in the child of 4- to 11-year-old but parents did not pay attention to it and could not detect it at early stages. The process to diagnose in recent time is clinical sessions that are very time consuming and expensive. To complement the conventional method, machine learning techniques are being used. In this way, it improves the required time and precision for diagnosis. We have applied TFLite model on image based dataset to predict the autism based on facial features of child. Afterwards, various machine learning techniques were trained that includes Logistic Regression, KNN, Gaussian Naïve Bayes, Random Forest and Multi-Layer Perceptron using Autism Spectrum Quotient (AQ) dataset to improve the accuracy of the ASD detection. On image based dataset, TFLite model shows 80% accuracy and based on AQ dataset, we have achieved 100% accuracy from Logistic Regression and MLP models.

Biosorption of Cu(II) from aqueous solution onto immobilized Ficus religiosa branch powder in a fixed bed column: Breakthrough curves and mathematical modeling

Madiha Tariq,Umar Farooq,Makshoof Athar,Muhammad Salman,Muqaddas Tariq 한국화학공학회 2019 Korean Journal of Chemical Engineering Vol.36 No.1

We investigated the adsorption potential of powdered branches from Ficus religiosa, an abundantly available plant, for the removal of Cu(II) from aqueous solution via column studies. Biomass was used as silica immobilized form and characterized using available techniques, including Fourier transformed infrared spectroscopy (FTIR) and scanning electron microscope (SEM). Breakthrough curve approach was used to explain removal capacity of biomass in a continuous flow mode, using different operating parameters like bed height (5-30 cm), inlet metal concentration (100-300mg/L) and pH (3-5) of the solution, at a fixed flow rate of 2mL/min. Biosorption of Cu(II) favored with increased service time (breakthrough and exhaust time) of the column with an increase in pH of inlet solution. Maximum biosorption capacity (17.5mg/g) for Cu(II) was achieved at 5 cm bed height, pH 5 and 300 mg/L influent Cu(II) concentration. Findings suggested that Ficus religiosa branch powder takes less service time and thus triggers fast removal of metal ions. Bed depth service time (BDST), Thomas and Yoon-Nelson models were effectively applied to the breakthrough data. The study indicated that the immobilized powdered branches could be used for the effective removal of Cu(II) ions in a continuous flow mode.

Areca Nut Chewing and the Risk of Re-hospitalization and Mortality Among Patients With Acute Coronary Syndrome in Pakistan

Muhammad Tariq Karim,Sumera Inam,Tariq Ashraf,Nadia Shah,Syed Omair Adil,Kashif Shafique 대한예방의학회 2018 Journal of Preventive Medicine and Public Health Vol.51 No.2

Objectives: Areca nut is widely consumed in many parts of the world, especially in South and Southeast Asia, where cardiovascular disease (CVD) is also a huge burden. Among the forms of CVD, acute coronary syndrome (ACS) is a major cause of mortality and morbidity. Research has shown areca nut chewing to be associated with diabetes, hypertension, oropharyngeal and esophageal cancers, and CVD, but little is known about mortality and re-hospitalization secondary to ACS among areca nut users and non-users. Methods: A prospective cohort was studied to quantify the effect of areca nut chewing on patients with newly diagnosed ACS by categorizing the study population into exposed and non-exposed groups according to baseline chewing status. Cox proportional hazards models were used to examine the associations of areca nut chewing with the risk of re-hospitalization and 30-day mortality secondary to ACS. Results: Of the 384 ACS patients, 49.5% (n=190) were areca users. During 1-month of follow-up, 20.3% (n=78) deaths and 25.1% (n=96) re-hospitalizations occurred. A higher risk of re-hospitalization was found (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.29 to 3.27; p=0.002) in areca users than in non-users. Moreover, patients with severe disease were at a significantly higher risk of 30-day mortality (aHR, 2.77; 95% CI, 1.67 to 4.59; p<0.001) and re-hospitalization (aHR, 2.72; 95% CI, 1.73 to 4.26; p<0.001). Conclusions: The 30-day re-hospitalization rate among ACS patients was found to be significantly higher in areca users and individuals with severe disease. These findings suggest that screening for a history of areca nut chewing may help to identify patients at a high risk for re-hospitalization due to secondary events.

Areca Nut Chewing and the Risk of Re-hospitalization and Mortality Among Patients With Acute Coronary Syndrome in Pakistan

Karim, Muhammad Tariq,Inam, Sumera,Ashraf, Tariq,Shah, Nadia,Adil, Syed Omair,Shafique, Kashif The Korean Society for Preventive Medicine 2018 Journal of Preventive Medicine and Public Health Vol.51 No.2

Objectives: Areca nut is widely consumed in many parts of the world, especially in South and Southeast Asia, where cardiovascular disease (CVD) is also a huge burden. Among the forms of CVD, acute coronary syndrome (ACS) is a major cause of mortality and morbidity. Research has shown areca nut chewing to be associated with diabetes, hypertension, oropharyngeal and esophageal cancers, and CVD, but little is known about mortality and re-hospitalization secondary to ACS among areca nut users and non-users. Methods: A prospective cohort was studied to quantify the effect of areca nut chewing on patients with newly diagnosed ACS by categorizing the study population into exposed and non-exposed groups according to baseline chewing status. Cox proportional hazards models were used to examine the associations of areca nut chewing with the risk of re-hospitalization and 30-day mortality secondary to ACS. Results: Of the 384 ACS patients, 49.5% (n=190) were areca users. During 1-month of follow-up, 20.3% (n=78) deaths and 25.1% (n=96) re-hospitalizations occurred. A higher risk of re-hospitalization was found (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.29 to 3.27; p=0.002) in areca users than in non-users. Moreover, patients with severe disease were at a significantly higher risk of 30-day mortality (aHR, 2.77; 95% CI, 1.67 to 4.59; p<0.001) and re-hospitalization (aHR, 2.72; 95% CI, 1.73 to 4.26; p<0.001). Conclusions: The 30-day re-hospitalization rate among ACS patients was found to be significantly higher in areca users and individuals with severe disease. These findings suggest that screening for a history of areca nut chewing may help to identify patients at a high risk for re-hospitalization due to secondary events.

Cardiac CT in Detecting a Dislodged Stent in Right Coronary Artery after Primary Percutaneous Coronary Intervention

Tariq Ashraf,Parveen Akhter,Abdul Samad Achakzai,Naveedullah Khan,Tahir Saghir,Syed Nadeem Hassan Rizvi,Kanwal Fatima Aamir 한국심초음파학회 2019 Journal of Cardiovascular Imaging (J Cardiovasc Im Vol.27 No.1

Assessing Metal Content in Halophila stipulacea Seagrass as an Indicator of Metal Pollution in the Northern Gulf of Aqaba, Red Sea

Tariq Al-Najjar,Mohammad Wahsha,Mwaffaq Al-Khushman,Maroof Khalaf,Kyle Hardage,Wissam Hayek,Khalid Abu Khadra,Adina Paytan 한국해양과학기술원 2021 Ocean science journal Vol.56 No.4

To assess the utility of the seagrass (Halophila stipulacea) for biomonitoring of metal pollution, seagrass samples were collected from four sites along the Jordanian coast of the Gulf of Aqaba between April and July 2017. Concentrations of trace metals (Cr, Mn, Fe, Ni, Zn, and Pb) in leaves, rhizomes, and roots were compared to published data on sediment trace metal and organic carbon content at the same sites to assess the degree of their fidelity in recording local trace metal pollution. The results of this study indicated that the roots of the seagrass H. stipulacea accumulated higher metal concentrations of Cd, Pb, Cr, Ni, Zn, Mn, and Fe than rhizomes and leaves. Concentrations in H. stipulacea varied significantly between sites for Mn, Fe, Zn, Cd, and Pb but not for Cr and Ni. Higher levels of seagrass trace metals in the Hotels Area and Old Phosphate Port sampling sites compared to other sampled sites are likely related to the sites' proximity to tourist and boating activity and city infrastructure which may contribute to metals accumulating in the tissues of this seagrass. In contrast to other studies, when all the data are considered, no clear trend between sediment metal concentration and seagrass metals is observed, suggesting physiological control on metal uptake by H. stipulacea and thus limiting the utility of H. stipulacea for biomonitoring of pollution.

Subjective Evaluation of Ultra-high Definition (UHD) Videos

( Tariq Rahim ),( Soo Young Shin ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.6

This paper presents a detailed subjective quality assessment for the ultra-high definition (UHD) videos having frame rates of 30fps and 60 fps. The subjective assessment is based on the ITU-R BT-500 recommendations, where double stimulus continuous quality scale (DSCQS-type II) test is performed for the evaluation of the perceived quality of the user’s in terms of differential mean opinion score (DMOS). Encoding of the UHD videos by opting encoders i.e. H.264/AVC, H.265/HEVC, and VP9 at five different quantization parameter (QP) levels is done to investigate the perceived user’s quality of experience (QoE) given as DMOS. Moreover, the encoding efficiency as the encoding time for each encoder and qualitative performance by employing full-reference (FR) quality metrics are presented in this work.

A DPLL with a Modified Phase Frequency Detector to Reduce Lock Time

Tariq Hasan(하산 타릭),GoangSeog Choi(최광석) 대한전자공학회 2013 전자공학회논문지 Vol.50 No.10

130nm CMOS 공정 라이브러리를 이용하여 125MHz로 동작하는 새로운 위상 주파수 검출기 기반 DPLL을 설계하였다. 이 DPLL은 중간 주파수대 응용을 위해 지터와 록 시간을 줄이려고 전형적인 DPLL에 반전 에지 검출기를 포함하고 있다. XOR기반 반전 에지 검출기들은 출력을 보다 빨리 변화시키기 위하여 기준 신호보다 빠른 전이를 얻는데 사용된다. HSPICE 시뮬레이터는 모의실험을 위해 Cadence환경에서 사용되었다. 제안된 위상 주파수 검출기를 가진 DPLL의 성능은 종래의 위상 주파수 검출기를 가진 것의 성능과 비교하였다. 종래의 PLL은 약 0.1245 ns의 최대 지터를 가지고 록 하는데 최소 2.144 μs가 걸린 반면에, 제안한 검출기를 가진 PLL은 약 0.1142 ns의 최대 지터를 가지고 록 하는데 0.304 μs가 걸린다. A new phase frequency detector based digital phase-locked loop (PLL) of 125 MHz was designed using the 130 nm CMOS technology library consisting of inverting edge detectors along with a typical digital phase-locked loop to reduce the lock time and jitter for mid-frequency applications. XOR based inverting edge detectors were used to obtain a transition earlier than the reference signal to change the output more quickly. The HSPICE simulator was used in a Cadence environment for simulation. The performance of the digital phase-locked loops with the proposed phase frequency detector was compared with that of conventional phase frequency detector. The PLL with the proposed detector took 0.304 μs to lock with a maximum jitter of approximately 0.1142 ns, whereas the conventional PLL took a minimum of 2.144 μs to lock with a maximum jitter of approximately 0.1245 ns.

Subjective Evaluation of Ultra-high Definition Videos

Tariq Rahim,Soo Young Shin 한국통신학회 2019 한국통신학회 학술대회논문집 Vol.2019 No.6

On the linear equivalence of sequences in Hilbert spaces

Tariq Qawasmeh,Raed Hatamleh,Belal Batiha,Ahmed Heilat 한국전산응용수학회 2024 Journal of applied mathematics & informatics Vol.42 No.2

A similarity transformation of a solution of the Cauchy problem for the linear difference equation in Hilbert space has been studied. In this manuscript, we obtain necessary and sufficient conditions for linear equivalence of the discrete semigroup of operators, generated by the solution of the difference equation utilizing four Canonical semigroups.