bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Review of Cellphone Healthcare Applications: Content Privacy and Safety Issues, Challenges and Recommendations
Authors: Murtaza Hudabia , Khan Muhammad Zubair , Rasheed Mansoor Ahmad , Ikram Shahzaib , Rasheed Mannan Ahmad , Rasheed Mehnaz 
Published: January 2024

Nowadays, cellphone healthcare applications are receiving a considerable amount of attentiveness from both researchers and developers. Advances in communication technologies have aided the evolution in the usage of cellphones and digital devices and present challenges in terms of the accuracy and reliability of cellphone healthcare applications. Nevertheless, these applications may compromise crucial threats related to the seclusion and safety of users’ health content. Awareness of these challenges can help cellphone and cellphone application producers to manufacture efficient tools to allow patients and users to access the services of these technologies very effectively. The main objective of this research paper is to recognize the potential limitations and strengths regarding content seclusion and safety for the development and widespread utilization of effective cellphone healthcare applications. We have employed a literature survey and a relative comparison of the top ten top-rated cellphone healthcare applications to recognize security threats and characteristics that can support developers in building healthcare applications with necessary seclusion and safety standards and allow the users to select the appropriate application for their personal use.
DeepImmuno-PSSM: Identification of Immunoglobulin based on Deep learning and PSSM-Profiles
Authors: Ghulam Ali , Nawab Khan Swati Zar , Ali Farman , Tunio Saima , Jabeen Nida , Iqbal Natasha 
Published: January 2024

Immunoglobulin has a close connection to a number of disorders and is important in both biological and medicinal contexts. Therefore, it is crucial for illness research to employ efficient techniques to increase the categorization accuracy of immunoglobulins. Computational models have been used in a small number of research to address this important issue, but the accuracy of the predictions is not good enough. As a result, we use a cutting-edge deep learning technique with convolutional neural networks to enhance the performance results. In this study, the immunoglobulin features were extracted using the dipeptide acid composition (DPC) with the position-specific scoring matrix (DPC-PSSM) and position-specific scoring matrix-transition probability composition (PSSM-TPC) methods. we apply extracted features information from the DPC-PSSM profiles and PSSM-TPC profile by using a 1D-convolutional neural network (CNN) over an input shape. The outcomes demonstrated that the DeepImmuno-PSSM method based on sequential minimal optimization was able to properly predict DPC-PSSM accuracy score 93.44% obtained and of the immunoglobulins using the greatest feature subcategory produced by the PSSM-TPC feature mining approach accuracy score 89.92% obtained. Our findings indicate that we are able to provide a useful model for enhancing immunoglobulin proteins' capacity for prediction. Additionally, it implies that employing sequence data in deep learning and PSSM-based features may open up new path for biochemical modelling.
W-rank: A keyphrase extraction method for webpage based on linguistics and DOM-base features
Authors: Shah Himat , Ahmed Dr. Shafique , Sathio Anwar Ali , Burdi Dr Asadullah 
Published: January 2024

This paper addresses the problem of an automatic keyphrase extraction for a webpage text. Our method is unsupervised, and we call it W-rank. In our method, first we extract the text of a webpage and tokenize into three different candidate words list: unigram ,bigrams and noun phrases. Then we assign score to all words based on their individual appearance in linguistic and DOM-based feature sets. In the final step, we rank these candidate words using score and select top 5 keyphrase from each list and combine them as a final keyphrases for a given webpage. We focus more on the relevancy of keyphrases to its content using linguistic features. We compare our method with other methods using precision, recall and f-score. The experimental result shows, W-rank improves the performance of our previous method D-rank and outperforms other state of art methods.
The Quality Analysis of Food and Vegetable from Image Processing
Authors: Baloch Abdul Khalique , Okatan Prof Dr. Ali , Jamali Mujeeb-ur-Rehman , Kanasro Nadeem Ahmed , Baloch Muhammad Ali , Jamali Asad Ali 
Published: January 2024

The quality analysis of food and vegetable from image is hot topic now a day, where researchers make them better then pervious findings through different technique and methods. In this research we have review the literature, and find gape from them, and suggest better proposed approach, design the algorithm, developed a software to measure the quality from images, where accuracy of image show better results, and compare the results with Perouse work done so for. The Application we use an open-source dataset and python language with tensor flow lite framework. In this research we focus to sort food and vegetable from image, in the images, the application can sort and make them grading after process the images; it could create less errors them human base sorting errors by manual grading. Digital pictures datasets were created. The collected images arranged by classes. The classification accuracy of the system was about 94%. As fruits and vegetables play important role in our day to day life, the quality of fruits and vegetables is needed in evaluating agricultural produce, customer always buy good quality fruits and vegetables. This document is about quality detection of fruit and vegetables using images. Most of customers suffering due to unhealthy foods and vegetables by suppliers so there is no proper quality measurement level followed by hotel managements. I have developed an application to measure the quality of the fruits and vegetables by using images, it will tell you how is your fruits and vegetables are fresh or rotten. A large number of algorithms have been used in this project, including digital images, ResNet, VGG16, CNN and Transfer Learning grading feature extraction. This application used an open source dataset of images and language used python, and designs a framework of system.
Specification of Operating Rules for Water Reservoir to Manage Flood Using Z-Notation
Authors: Alam Hasrat 
Published: January 2024

Flood is natural event; it brings a lot of destruction. Due to flood not only loss of human life and misery of millions of people occur, but tremendous damages occur in public and private property. It cannot be stopped, but can be managed to save the lives and property of the people. To manage a flood, there are two solutions, physical and logical. In physical solutions, different physical constructions are made to manage flood like levee, channel improvement, flood ways, and widening of barrages, but these control works have many deficiencies. In logical solutions, models and techniques are developed to manage the flood, however, these systems also have some deficiencies. To overcome the deficiencies in the existing models, we focus on to develop a flood management model consisting of an off-river reservoir and diverted canals having regulators. Reservoirs are most effective water storage that smooth down extreme inflow. The optimal operations of reservoirs determine the release and accumulation of water over time. For effective operative decision, operating rules will be defined in Z-Specification. For these operating rules, we will develop an algorithm, will verify the rules in Z-Notation and will implement them in the Java programming language.
A Survey of Feature Extraction and Feature Selection Techniques used in Machine Learning-Based Botnet Detection Schemes
Authors: Oyelakin Akinyemi Moruff , G Jimoh Rasheed 
Published: January 2024

Machine learning techniques have been widely used for the classification of botnets as they have been argued to have improved strengths compared to signature-based approaches. The level of performances of some of these detection schemes have been traced to the relevance of the features used for the classification models. Therefore, extraction and selection of the most discriminative features in the classification of botnets is an important research area. It has equally been found that when a Machine-learning based approach is being used to identify botnets, the dataset chosen has to be real and representative. Feature extraction and Feature Selection are necessary steps prior to using a Machine Learning-based classification algorithm for identifying botnets. The reason for the pre-processing and feature selection steps in Machine Learning-based model is to be able to remove irrelevant and redundant data in the experimental dataset, minimize computational complexity, and increase both model simplicity as well as accuracy. This paper provided a survey of various feature extraction and feature selection methods that have been used by researchers that proposed Machine-Learning based botnet detection models. The main purpose of this approach is to provide a better understanding and insights on how improved botnet detection mechanisms can be achieved through enhanced feature extraction and selection methods.
Power Hamy Mean Operators for managing Cubic Linguistic Spherical Fuzzy Sets and their Applications
Authors: Abbas Tasawar , Mumtaz Faisal , Hussain Zamir , Zafar Rehan 
Published: January 2024

In modern social administrative economic activities, we are facing a considerable amount of multi-attribute group decision making problems. The methods and theory related to this method are very useful in the field of particular disciplines as well as in operational research, and a lot of achievements have been described. Obviously the real world is full of uncertainties and classical set theory cannot be used to describe different phenomena such as beauty, intelligence, height (tallness) and age etc. This thing leads mathematicians to develop the notion of fuzzy sets. Later Zadeh introduced the concept of membership and non-membership degree. Definitely human opinion about a phenomenon may be unidirectional or multi-directional, that’s why Atanossov proposed the concept of another advance type of fuzzy sets, which is known as intuitionistic fuzzy sets. His concept is based on a degree of membership and degree of non-membership with a exquisite that their sum must not exceed 1. In our work we introduced cubic linguistic spherical fuzzy sets. Then, we proposed the fundamental operation law for CLSFVs and a series of their average operators (AOs), such as the (cubic linguistic spherical fuzzy power average), (cubic linguistic spherical fuzzy power weighted average), (cubic linguistic spherical fuzzy power hamy mean) and (cubic linguistic spherical fuzzy power weighted hamy mean) operators, was developed by combining the power average and hamy mean operators in cubic linguistic spherical fuzzy environment. Also we described some specific desirable properties of all these operators. In addition, we suggested a new MAGDM method.
Delta Perturbation Method for Couette-Poiseuille flows in Third grade fluids
Authors: Memon Kamran Nazir , Mushtaque Ahsan , Shaikh Fozia , Ghoto AA , Siddiqui A. M. 
Published: January 2024

This work uses the Delta Perturbation Method (DPM) to theoretically evaluate the steady plane Couette-Poiseuille flowbetween two parallel plates for third-grade fluid.That'sa kind of perturbation approach and was deliveredwith the aid of Bender and his colleagues in the 1980s. Utilizing DPM, analytical solutions have been found from the governing continuity and momentum equations subject to the necessary boundary conditions. In this proposed model, the Newtonian solution is obtained through the substitution. It is possible to measure the velocity field, temperature distribution, volumetric flow rate, and average velocity of the fluid flow. We derived that the third-grade fluid's velocity will change in response to an increasing material constant from the visual and table representations of the impacts of different parameters on the velocity and temperature profiles.The suggested model additionally mentions temperature distribution losses with increases in thermal conductivity and rises as a result of increases of dynamic viscosity , constant parameters and and material constant. Here we have also find out that temperature distribution and velocity profile enhance with higher magnitude of pressure gradient
A Novel Two Point Optimal Derivative free Method for Numerical Solution of Nonlinear Algebraic, Transcendental Equations and Application Problems using Weight Function
Authors: Jamali Sanaullah , Kalhoro Zubair Ahmed , Shaikh Abdul Wasim , Saleem Chandio Muhammad , Dehraj Sanaullah 
Published: January 2024

It’s a big challenge for researchers to locate the root of nonlinear equations with minimum cost, lot of methods are already exist in literature to find root but their cost are very high In this regard we introduce a two-step fourth order method by using weight function. And proposed method is optimal and derivative free for solution of nonlinear algebraic and transcendental and application problems. MATLAB, Mathematica and Maple software are used to solve the convergence and numerical problems of proposed and their counterpart methods.
Exact solution on the impact of slip condition for unsteady tank drainage ﬂow of Ellis ﬂuid
Authors: Shaikh Naina Salar , Memon Kamran Nazir , Sial Muhammad Suleman , Siddiqui A. M. 
Published: January 2024

In this paper, we look into the effect of slip condition on isothermal and incompressible Ellis fluid of an unsteady tank drainage flow. The non-linear PDE (partial differential equation) is solved exactly by applying the governing continuity and momentum equations, subject to the proper boundary condition, using the separation of variables approach. Unique situations this model put out by Ellis fluid is used to develop concepts like Newtonian, Power law model, and Bingham Plastic model solution. On setting the slip parameterexact solution for Ellis fluid flow is retrivred as well as Newtonian solution is bring back, which was done through Bernoulli's equation. Expressions for velocity field, pipe shear stress, volume flux, velocity average, depth of fluid in the tank at different times and also the relationship between length of the time be different with depth of the tank and the length of time required to complete the drainage is determined. Graphical representation is given of the effects of various development factors on the velocity field Vz and fluid depth H(t). The tank can empty faster for Ellis fluid compared to its special situations, according to the analogy of Ellis, Power law, Newtonian, and Binghan plastic fluids for the relation of depth with respect to time.
The effect of oscillating streams on heat transfer in viscous magnetohydrodynamic MHD fluid flow
Authors: Bhutto Afaque Ahmed , Ahmed Iftikhar , Rajput Saeed Ahmed , Raza Shah Syed Asad 
Published: January 2024

This study focuses on developing and proving exact solutions for equations of motion involving a fluid with finite conductivity, variable viscosities, and heat transfer in the presence of a transverse magnetic field. By utilizing a transformation variable, the governing equation is transformed into a assortment of simple ordinary differential equations, enabling accurate solutions to be achieved for the problem. The solutions demonstrate that the distribution of vorticity is proportional to the stream function, which is disturbed by oscillating (sine or cosine) or even and exponential streams. This study compares the profiles of steady fluid flow with changing viscosity and heat transfer travelling on a plane. The comparison is used to identify differences in the profiles of providing insight into the changes that occur in interesting factors. These findings have significant implications for understanding fluid dynamics in complex systems and may have important applications in fields such as engineering and physics.
Development of an Explicit Iterative Numerical Scheme Over the Modified Euler’s Method
Authors: Meghwar Tuljaram , Kumar Prem , Khokhar Rahim Bux , Shaikh Asif Ali , Hincal Evren , Anwar Solangi Muhammad 
Published: January 2024

The main theme of this research paper is to propose an explicit iterative numerical scheme over the modified Euler’s method (MEM) for solving initial value problems in ordinary differential equations. This iterative scheme has been proposed by changing the inner slope of the MEM by the mean of main slope of MEM and slope of explicit forward Euler’s method. The proposed iterative scheme has been tested for its performance by analyzing different numerical factors related to numerical algorithm and found it consistent, more accurate with the order of convergence 2 and it also shows greater stability region as compared to existing methods which are compared with proposed method.
Study of second-order Hankel determinant for starlike functions with respect to symmetric points
Authors: Omer Siraj Osman , Aamir Muhammad , Bilal Muhammad , Ullah Khalil , Qadir Abbas 
Published: January 2024

The article aims to determine the sharp bounds of coeﬃcients, Fekete-Szegö, Zalcman inequalities for the family SS*_{tanh} of starlike function with respect to symmetric points linked with tan hyperbolic function. We also estimate determinant of | H_{2,2}(f) | is also obtained for the same class. Further, we study the logarithmic and inverse coeﬃcients for the same class.
MHD flow and heat transfer of micropolar nanofluid on a linearly stretching/shrinking porous surface
Authors: Kumar Sanjay , Shaikh Asif Ali , Lanjwani Hazoor Bux , Shah Sayed Feroz 
Published: January 2024

In this paper, there is considered incompressible steady two-dimensional laminar MHD boundary layer flow, heat and mass transfer characteristics of micropolar nanofluid across a linearly stretching/shrinking porous surface. The effects of the magnetic, thermal slip, mass slip and heat source sink parameters are also considered. By applyingn appropriate similarity variables, the system of governing partial differential equations associated to micropolar nanofluid flow is transformed into a system of non - linear ordinary differential equations. The resulting equations are numerically solved in the Maple software by using shooting technique. The impact of the different applied parameters on skin friction, couple stress, Nusselt and the Sherwood numbers along the related profiles are determined for both stretching and shrinking cases of the surfaces. It was observed that with an increase in suction and magnetic parameters, the fluid velocity decreased. An increment in the thermal slip, the fluid temperature decreased and nanoparticles concentration decreases as the mass slip parameter is enhanced. An increase in concentration decreases but temperature increases. While, concentration and temperature both increase due to increase in thermophoresis parameter, and concentration also increases by increase in rate of chemical reaction. Thus, suction at the boundary and magnetic parameter acted as flow controlling parameter. It is believed that this type of investigation is very much helpful for the manufacturing of complex fluids and also for cleaning oil from surfaces.
Effects of Heat Transfer on Flow of MHD Maxwell Nanofluid on Stretching and Shrinking Surfaces.
Authors: Dayo Ibrahim , Shah Sayed Feroz , Shaikh Fozia , Kumar Sanjay 
Published: January 2024

In present article, there is studied heat, and the mass transfer characteristics of boundary layer flow of the Maxwell-nanofluid across stretching/shrinking surface along chemical reactions, transverse magnetic field and thermal radiation. Applying similarity transformation, the system of governing nonlinear PDEs are reduced into form of ODEs. The achieved equations are solved with help of bvp4c in Matlab computer software. The impacts of specified parameters include, suction parameter, Deborah number, magnetic parameter, thermophoresis parameter, chemical reaction parameter, Schmidt number, Brownian motion parameter, Prandlt number and thermal slip parameter are examined on velocity, temperature and nanoparticles concentration fields (profiles). Moreover, skin friction, Nusselt number and Sherwood number are achieved at numerous values of applied parameters which are demonstrated through graphs. Some of the key findings show that an increase in suction increases skin friction, Nusselt number and Shewood number along the variation of the stretching/shrinking parameter An increase in thermophoresis, magnetic and Brownian motion parameters increase the temperature fields of Maxwell nanofluid, while Deborah number, Prandtl number, suction parameter and thermal slip parameter decrease it.
Quantitative Analysis of Long-term Dynamic Relationships between Crude Oil, gold, exchange rates, and stock prices: An Auto Regressive Distributive Lag Approach in Pakistan
Authors: Shah Muzafar Ali , Channar Zahid Ali , Dahri Safia Amir , Soomro M. Afzal 
Published: January 2024

Since crude oil is Pakistan's main source of imports, the current study empirically investigates the long-term dynamic relationships between changes in international price of crude oil and gold on macroeconomic indicators, particularly the exchange rate and stock market index. Therefore, international oil prices, Brent oil prices are used as a proxy which were obtained from Federal Reserve Economic Data (FRED) database, gold spot prices data were acquired from World Gold Council website, stock market index, KSE-100 index was used as a proxy and the data was collected from Investing.com website, and the data for exchange rate for Pakistani rupee against US Dollar (PKR/USD) was obtained from Investing.com. The sample period included in this study is from the year 2000 to 2021. The paper employs the Auto regressive Distributive Lag (ARDL) technique to analyze the dynamic relationships among the variables. Findings suggest ARDL has been useful in capturing the long-run relationship i.e., crude oil and gold international prices are significant variables and have impact on stock market and exchange rate.
Simulation Study on the Effect of Cover Tilt Angle of SolarStill on its Productivity
Authors: Kumar Rajesh , Kumar Laveet , Mirjat Nayyar Hussain , Harijan Khanji 
Published: January 2024

Survival hinges on access to water, serving as both the foundation for human existence and its continuous sustenance. Developing nations grapple with the significant challenge of ensuring clean drinking water availability. One solution is the utilization of solar stills, which harness solar energy for desalination to produce potable water, all without relying on high-energy sources. Solar stills remain a viable choice for providing safe drinking water to remote regions lacking reliable energy access. In this research, a comprehensive multi-phase 3D Computational Fluid Dynamics (CFD) model was employed to investigate single-slope solar still with glass cover angles of 200 and 250This model accurately depicts temperature variations within the solar still during different phases of operation. The simulation results presented herein reveal that the efficiency is notably superior in solar stills equipped with copper plates, achieving an output of 1.24 when inclined at 200 compared to other inclinations. It becomes evident that the tilt angle of the cover has a substantial impact on the output. Additionally, the most suitable water depth for a 200 angle is found to be 18mm. This cost-effective innovation is designed to provide rural populations with an efficient method to transform brackish water into potable drinking water.