Modeling of Efficient Control Strategies for LCC-HVDC Systems: A Case Study of Matiari-Lahore HVDC Power Transmission Line.

With the recent development in power electronic devices, HVDC (High Voltage Direct Current) systems have been recognized as the most prominent solution to transmit electric power economically. Today, several HVDC projects have been implemented physically. The conventional HVDC systems use grid commutation converters, and its commutation relies on an AC system for the provision of voltage.

The Relationship Between Internal Employer Branding and Talent Retention: A Theoretical Investigation for the Development of a Conceptual Framework.

The focus of this paper is to develop a comprehensive conceptual framework for the relationship between internal employer brand image and talent retention. An extensive and semi-systematic literature review identified a number of antecedents and consequences that have been empirically tested in various cutting-edge research studies that were conducted around the world. The existing literature is reviewed using a topical approach, and 66 research studies, most recent from various repositories, were carefully chosen and reviewed based on the criteria.

A Liver Damage Prediction Using Partial Differential Segmentation with Improved Convolutional Neural Network.

Background: The liver is one of the most significant and most essential organs in the human body. It is divided into two granular lobes, one on the right and one on the left, connected by a bile duct. The liver is essential in the removal of waste products from human food consumption, the creation of bile, the regulation of metabolic activities, the cleaning of the blood by sensitizing digestive management, and the storage of vitamins and minerals.

Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System.

The emergence of social media has allowed people to express their feelings on products, services, films, and so on. The feeling is the user's view or attitude towards any topic, object, event, or service. Overall, feelings have always influenced people's decision-making.

Solar radiation and solar energy estimation using ANN and Fuzzy logic concept: A comprehensive and systematic study.

To overcome the need of the world for energy consumption, we have to find some better and stable alternate ways of renewable energy with advanced technology. The most readily available source of energy is solar energy but solar energy has nonlinear nature due to the random nature of climate conditions. So, one way to solve is solar radiation prediction and solar energy prediction using more accurate techniques.

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda.

Artificial intelligence can assist providers in a variety of patient care and intelligent health systems. Artificial intelligence techniques ranging from machine learning to deep learning are prevalent in healthcare for disease diagnosis, drug discovery, and patient risk identification. Numerous medical data sources are required to perfectly diagnose diseases using artificial intelligence techniques, such as ultrasound, magnetic resonance imaging, mammography, genomics, computed tomography scan, etc.

A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis.

Artificial intelligence has aided in the advancement of healthcare research. The availability of open-source healthcare statistics has prompted researchers to create applications that aid cancer detection and prognosis. Deep learning and machine learning models provide a reliable, rapid, and effective solution to deal with such challenging diseases in these circumstances.

Denouements of machine learning and multimodal diagnostic classification of Alzheimer's disease.

Alzheimer's disease (AD) is the most common type of dementia. The exact cause and treatment of the disease are still unknown. Different neuroimaging modalities, such as magnetic resonance imaging (MRI), positron emission tomography, and single-photon emission computed tomography, have played a significant role in the study of AD.

Long-term Follow-up of Exstrophy-epispadias Complex from a Lower-middle Income Country: A Case Report and Review of the Literature.

Bladder exstrophy-epispadias complex (EEC) is a rare congenital defect where the abdominal muscles and bones fail to close in the mid-pelvis. It is crucial to understand the health-related quality of life (QOL) of exstrophy patients who have undergone multiple correctional surgeries. We herein discuss a case of bladder EEC that was repaired through a series of procedures at a resource-limited hospital in Karachi, Pakistan.

Bayesian Algorithm Based Localization of EEG Recorded Electromagnetic Brain Activity.

Background: Electrical signals are generated inside human brain due to any mental or physical task. This causes activation of several sources inside brain which are localized using various optimization algorithms.

Methods: Such activity is recorded through various neuroimaging techniques like fMRI, EEG, MEG etc.

Management of disorders of sex development - With a focus on development of the child and adolescent through the pubertal years.

Disorders of sex development, congenital conditions in which chromosomal, gonadal or anatomic sex is atypical at birth, require urgent assessment by a multidisciplinary team, to define whether there is a life threatening disorder of congenital adrenal hyperplasia or a healthy child with a complex condition. Uncertainty, stigma and taboo complicate counselling which must be knowledgeable, comprehensive and sensitive to different circumstances, religions and cultures. This articles will discuss clinical and genetic diagnosis, decisions regarding sex of rearing, ethical dilemmas, medical management of the infant and of the child or adolescent presenting for the first time with a DSD.

May Measurement Month 2017: an analysis of the blood pressure screening campaign results in Pakistan-South Asia.

Elevated blood pressure (BP) is a growing burden worldwide, leading to over 10 million deaths each year. May Measurement Month (MMM) is a global initiative aimed at raising awareness of high BP and to act as a temporary solution to the lack of screening programs worldwide. Hypertension is a global health concern for developing countries.

Influence of the best practices of environmental management on green product development.

Corporate environmental management attention is shifting from clean technologies and pollution prevention to green product development (GPD). As a result, firms consider GPD critical for their increased productivity, cost reduction, better use of input resources, mitigation of waste disposal and become environmentally friendly. This research measures the effects of the best practices of environmental management - pollution prevention technologies, innovation and early timing - on GPD; and to analyze whether the moderating role of organizational capital strengthens/weakens that relationship.

Tracking and Estimation of Multiple Cross-Over Targets in Clutter.

Tracking problems, including unknown number of targets, target trajectories behaviour and uncertain motion of targets in the surveillance region, are challenging issues. It is also difficult to estimate cross-over targets in heavy clutter density environment. In addition, tracking algorithms including smoothers which use measurements from upcoming scans to estimate the targets are often unsuccessful in tracking due to low detection probabilities.

Comparison of end tidal carbon monoxide (eCO) levels in shisha (water pipe) and cigarette smokers.

Background: Measuring eCo is rapid, non-invasive and inexpensive tool and correlate correctly with carboxyhemoglobin levels in blood. The aim of this study was to evaluate and compare the increase in end tidal carbon monoxide (eCO) levels in exhaled breath of passive smokers and healthy smokers after cigarette and shisha smoking.

Findings: In a cross sectional study eCO levels were measured in 70 subjects (24 cigarette smokers, 20 shisha smoker, 26 passive smokers) by use of portable device.