Photon-phonon destructive-constructive polarization quantization in Sm:BiPO.

We report photon-phonon dressing quantization dependency on polarization. Destructive dressing polarization quantization is exhibited in fluorescence (FL) for narrowband signals, while constructive dominant dressing quantization is exhibited in fluorescence (FL) for broadband signals due to phase perturbation. Furthermore, constructive polarization quantization results due to coexistence of generation and dressing effects in strong and competitive Rabi frequency.

Unfolding the reality of the smoking paradox in a South Asian cohort of patients presenting with ST-elevation acute coronary syndrome undergoing primary percutaneous coronary intervention.

Objectives: Smoking is a potent risk factor for coronary artery disease, but there is controversy about its protective nature in terms of prognosis in ST-elevation acute coronary syndrome patients undergoing primary percutaneous coronary intervention. So, the main objective of this study is to unfold this controversy in a South Asian population in terms of clinical angiographic parameters and its in-hospital outcomes.

Methods: In this study, we included 1756 consecutive patients diagnosed with ST-elevation acute coronary syndrome undergoing primary percutaneous coronary intervention.

Increasing Incidence of ST-Elevation Acute Coronary Syndrome in Young South Asian Population, a Challenge for the World? An Assessment of Clinical and Angiographic Patterns and Hospital Course of Premature Acute Myocardial Infarction.

The incidence of premature ischemic heart disease (IHD) is increasing because of urbanization, a sedentary lifestyle, and various other unexplored factors, especially in South Asia. This study aimed to assess the distribution of premature ST-elevation acute coronary syndrome (STE-ACS) with its clinical and angiographic pattern along with hospital course in a contemporary cohort of patients who underwent primary percutaneous intervention at a tertiary care center in the South Asian region. We included consecutive patients of either gender diagnosed with STE-ACS and who underwent primary percutaneous intervention.

Student-Performulator: Predicting Students' Academic Performance at Secondary and Intermediate Level Using Machine Learning.

Forecasting academic performance of student has been a substantial research inquest in the Educational Data-Mining that utilizes Machine-learning (ML) procedures to probe the data of educational setups. Quantifying student academic performance is challenging because academic performance of students hinges on several factors. The in hand research work focuses on students' grade and marks prediction utilizing supervised ML approaches.

Impact analysis of keyword extraction using contextual word embedding.

A document's keywords provide high-level descriptions of the content that summarize the document's central themes, concepts, ideas, or arguments. These descriptive phrases make it easier for algorithms to find relevant information quickly and efficiently. It plays a vital role in document processing, such as indexing, classification, clustering, and summarization.

A Review on Multi-organ Cancer Detection Using Advanced Machine Learning Techniques.

Abnormal behaviors of tumors pose a risk to human survival. Thus, the detection of cancers at their initial stage is beneficial for patients and lowers the mortality rate. However, this can be difficult due to various factors related to imaging modalities, such as complex background, low contrast, brightness issues, poorly defined borders and the shape of the affected area.

Gaze and Eye Tracking: Techniques and Applications in ADAS.

Tracking drivers' eyes and gazes is a topic of great interest in the research of advanced driving assistance systems (ADAS). It is especially a matter of serious discussion among the road safety researchers' community, as visual distraction is considered among the major causes of road accidents. In this paper, techniques for eye and gaze tracking are first comprehensively reviewed while discussing their major categories.

A Comprehensive Survey of Driving Monitoring and Assistance Systems.

Improving a vehicle driver's performance decreases the damage caused by, and chances of, road accidents. In recent decades, engineers and researchers have proposed several strategies to model and improve driving monitoring and assistance systems (DMAS). This work presents a comprehensive survey of the literature related to driving processes, the main reasons for road accidents, the methods of their early detection, and state-of-the-art strategies developed to assist drivers for a safe and comfortable driving experience.

Effect of different growing media on the growth and development of Dahlia (Dahlia pinnata) under the agro-climatic condition of Dera Ismail Khan.

An experiment was conducted to investigate the effect of different growing media on the growth and development of Dahlia (Dahlia pinnata). Seven different growing media including sand, silt, leaf mold, sand + silt, sand + leaf mold, silt + leaf mold and sand + silt + leaf mold, were used to check the growth and development of dahlia in pots. The over all best performance was recorded in media sand + silt + leaf mold for almost all the parameters; plant height (42.

Status of tick distribution in Bangladesh, India and Pakistan.

On a global basis, ticks transmit a greater variety of pathogenic microorganisms, protozoa, rickettsiae, spirochaets, and viruses than any other arthropods and are among the most important vectors of diseases affecting livestock, humans, and companion animals. Ticks and tick-borne diseases (TTBDs) affect 80% of the world cattle population and are widely distributed throughout the world, particularly in tropical and subtropical countries including India, Pakistan, and Bangladesh. Ticks and tick-transmitted infections have coevolved with various wild animal hosts, which constitute the reservoir hosts for ticks and tick-borne pathogens of livestock, pets, and humans.