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Impact of foreign direct investment on the exports of five major sectors of Pakistan’s economy:A governance perspective

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中国人口·资源与环境:英文版 2023年第3期21卷 181-188页

作者： kamran farid Tahir Mahmood Muhammad Mumtaz Sarfraz Hussain Ansari Department of Economics Quaid-i-Azam UniversityIslamabad45320Pakistan Department of Economics Karakoram International UniversityGilgit15100Pakistan Department of Economics University of Religions and DenominationsQom37100Iran Department of Public Administration Fatima Jinnah Women UniversityRawalpindi46000Pakistan National Defence University Islamabad 44230Pakistan

This study investigates and analyses empirically the impact of Foreign Direct Investment(FDI)inflows on the exports for a panel series of five large-scale manufacturing industries of Pakistan during the period *** this purpose,we establish export production function as based on endogenous growth theory in which role of FDI is considered as additional determinant of *** Pedroni residual-based co-integration test and Error Correction Model(ECM)are applied for the long and short-run *** residual based approach highlighted that human capitals,domestic capitals,foreign direct investments,exports,and domestic sales are co-integrated in the long *** to results of ECM,coefficient of FDI appears to have statistical significant impact on exports and has a positive sign in the long ***,FDI does not contribute to export growth in the short run but it takes time to influence the growth patterns of the *** the basis of theoretical notion of endogenous growth theory,long-run coefficient of FDI may be interpreted as evidence in favour of the hypotheses that FDI has an impact on exports via export ***,it can be concluded that“FDI-based endogenous growth theory”is valid in the case of Pakistan.

关键词： FDI Exports Panel Data Pakistan

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A Health Monitoring System Using IoT-Based Android Mobile Application

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Computer Systems Science & Engineering 2023年第11期47卷 2293-2311页

作者： Madallah Alruwaili Muhammad Hameed Siddiqi kamran farid Muhammad Azad Saad Alanazi Asfandyar Khan Abdullah Khan College of Computer and Information Sciences Jouf UniversitySakakaAl-Jouf73211Kingdom of Saudi Arabia Institute of Computer Science and Information Technology The University of Agriculture PeshawarPeshawar25000Pakistan

Numerous types of research on healthcare monitoring systems have been conducted for calculating heart rate,ECG,nasal/oral airflow,temperature,light sensor,and fall detection *** researchers have done different work in the field of health monitoring with sensor *** researchers used built-in apps,such as some used a small number of parameters,while some other studies used more than one microcontroller and used senders and receivers among the microcontrollers to communicate,and outdated tools for study *** no efficient,cheap,and updated work is proposed in the field of sensor-based health monitoring ***,this study developed an android-based mobile system that can remotely monitor electrocardiograms(ECGs),pulse oximetry,heart rate,and body *** microcontroller’s Wi-Fi device is used to manage wireless data *** findings of the patient are saved on the Firebase server for further usage in the mobile *** performance of the proposed device is tested on ten numbers of different patients age-wise in terms of beats per minute(BPM),ECG,Temperature,and *** system uses temperature,pulse,ECG,blood pressure,and eye blink *** device makes the usage of a tiny pulse sensor that has been designed to provide an accurate and optimal readout of the pulse rate and a temperature sensor is also *** the help of an MCU,our system measures the pulse rate in beats per minute(bpm),blood oxygen level temperature measurements,and ECG readings and communicates this information to the Firebase *** check the performance of the proposed system first,the BPM parameter was checked on the cardiac ***,the proposed model is tested on different patients *** simulation result shows that the BPM reading is not much different than the BPM of the cardiac *** to the simulation findings,the proposed model achieved the best performance as compared to commercially available

关键词： ICUs DS18B20 sensors SpO2 AD8232 sensors ECGs Internet of Things

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