Mathematical Model: Comparative Study of Thermal Effects of Laser in Corneal Refractive Surgeries

Lasers have been widely used in ophthalmology. Refractive errors are some of the most common ophthalmic abnormalities worldwide. Laser refractive surgery was developed to correct refractive errors myopia, hyperopia and astigmatism. Two types of laser surgical techniques: lamellar and thermal are available to reshape the corneal curvature. Ultraviolet (UV) emitting argon fluoride (ArF) excimer laser is used to sculpt cornea in lamellar procedures, whereas, infrared (IR) emitting holmium yttrium aluminum garnet (Ho: YAG) laser is used to shrink cornea in thermal procedure. Tissue heating is common in all types of laser surgical techniques. Hence, in this paper, a finite element model is developed to investigate the temperature distribution of cornea in different laser refractive surgeries. Characteristics of optical and thermal processes and influence of the parameters of radiation and tissues on the results of laser action are investigated. The results of mathematical modeling in different surgical techniques are discussed, compared, and validated with experimental results

Lentil (Lens culinaris Medikus): A Whole Food Rich in Prebiotic Carbohydrates to Combat Global Obesity

Lentil (Lens culinaris Medik.) is a cool season food legume that is high in protein (20–30%) and in a range of micronutrients (e.g., minerals, carotenoids, folates) but very low in phytic acid. Recent research indicates that lentil contains a wide array of low-molecular weight carbohydrates (LMWC) or prebiotic carbohydrates, such as mono- and disaccharides, raffinose-family oligosaccharides (RFO), fructooligosaccharides (FOS), and sugar alcohols, and high-molecular weight resistant starches. Lentil provides more than 13 g of prebiotic carbohydrates per 100 g serving, and this level increases almost two-fold upon cooking, cooling, and reheating. In addition, prebiotic carbohydrate levels vary with lentil genotype and growing location/country. Intestinal microbiome and prebiotic studies suggest a prebiotic-rich, low-calorie diet can reduce the prevalence of obesity and related non-communicable diseases. Lentil thus represents a whole food source of prebiotics that can play a role in efforts to reduce obesity and non-communicable diseases. This chapter provides an overview of the current obesity-related health issues, holistic approaches to reduce obesity, worldwide lentil production, and the promise of pulses, mainly lentil, to be a whole food solution to combat global obesity. In addition, lentil’s superior LMWC profile and the genetic potential for further enrichment of prebiotic carbohydrates are briefly discussed

I-Fintech adoption readinesss

Various studies show information technology can beneficially apply to enhance financial services. The merger of Fintech, based on the Islamic law, creates the concept of Islamic Fintech (I-Fintech). The growing investment and numerous startups across Islamic Fintech offer financial innovation evidence of the importance of I-Fintech. Many governments support I-Fintech growth through investments and supporting startups. Pakistan, an Islamic country, is experiencing evolutionary changes in Fintech adoption. This I-Fintech adoption can engage governments, companies and firms across the Islamic world. Eighty five percent (85%) of Pakistan’s population lack financial services. Hence, financial inclusion is a dominant problem of Pakistan. To date, few I-Fintech companies or firms operate in Pakistan. These are limited to big cities like Islamabad, Karachi and Lahore. To date lack of investment has restricted I-Fintech growth processes. Thus, a demand for local corporate and firm engagement is desirable to capture full advantages across the Fintech sector. This paper proposes a conceptual framework for adoption of I-Fintech across Pakistan. It proposes Islamic Fintech challenges and risk affect intention to adopt I-Fintech in Pakistan. Intention to adopt I-Fintech technology contains the constructs of technical literacy, financial literacy, digital literacy and social acceptance. Tis study’s next stage is to measure and model competitiveness position of Pakistan’s Islamic financial institutions (by gauging their resultant collective intelligences position)

A Real-Time Comparison of Four Particulate Matter Size Fractions in the Personal Breathing Zone of Paris Subway Workers: A Six-Week Prospective Study.

We developed a Bayesian spline model for real-time mass concentrations of particulate matter (PM10, PM2.5, PM1, and PM0.3) measured simultaneously in the personal breathing zone of Parisian subway workers. The measurements were performed by GRIMM, a gravimetric method, and DiSCmini during the workers' work shifts over two consecutive weeks. The measured PM concentrations were analyzed with respect to the working environment, the underground station, and any specific events that occurred during the work shift. Overall, PM0.3 concentrations were more than an order of magnitude lower compared to the other PM concentrations and showed the highest temporal variation. The PM2.5 levels raised the highest exposure concern: 15 stations out of 37 had higher mass concentrations compared to the reference. Station PM levels were not correlated with the annual number of passengers entering the station, the year of station opening or renovation, or the number of platforms and tracks. The correlation with the number of station entrances was consistently negative for all PM sizes, whereas the number of correspondence concourses was negatively correlated with PM0.3 and PM10 levels and positively correlated with PM1 and PM2.5 levels. The highest PM10 exposure was observed for the station platform, followed by the subway cabin and train, while ticket counters had the highest PM0.3, PM1, and PM2.5 mass concentrations. We further found that compared to gravimetric and DiSCmini measurements, GRIMM results showed some discrepancies, with an underestimation of exposure levels. Therefore, we suggest using GRIMM, calibrated by gravimetric methods, for PM sizes above 1μm, and DiSCmini for sizes below 700 nm

Interstate war and food security: Implications from Russia's invasion of Ukraine

In this article, we review and shed light on the interlinkages between interstate war and food insecurity and discuss global policy actions needed to address the challenges of food insecurity due to interstate war. We conceptualize the interlinkages between these two issues with a focus on: (i) the most critical and direct cause of interstate war, namely geo (territorial) political conflict, and (ii) the mechanisms through which interstate war affects four different food security pillars, namely food availability, food access, food utilization, and food stability. We position that, if unsuccessfully addressed, geo (territorial) political conflicts will create a vicious cycle of violence and hunger. This position is illustrated by analyzing recent Russia's invasion of Ukraine. Herein a summary of the root and nature of the invasion and how it has affected global food security is presented, with a discussion on the potential considerations and solutions to avoid the cycle of violence and hunger

Tuning independently Fermi energy and spin splitting in Rashba systems: Ternary surface alloys on Ag(111)

By detailed first-principles calculations we show that the Fermi energy and the Rashba splitting in disordered ternary surface alloys (BiPbSb)/Ag(111) can be independently tuned by choosing the concentrations of Bi and Pb. The findings are explained by three fundamental mechanisms, namely the relaxation of the adatoms, the strength of the atomic spin-orbit coupling, and band filling. By mapping the Rashba characteristics,i.e.the splitting and the Rashba energy, and the Fermi energy of the surface states in the complete range of concentrations. Our results suggest to investigate experimentally effects which rely on the Rashba spin-orbit coupling in dependence on spin-orbit splitting and band filling.Comment: 11 pages, 3 figure

Information-Driven Inverse Approach to Disordered Solids: Applications to Amorphous Silicon

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