Stress is a health epidemic of the 21st Century. It can affect anyone at any time, altering or impairing their general (WHO). The study utilized quantitative-descriptive correlational research design to determine stress factors among two hundred randomly selected nursing students University Bohol, aided by self-made questionnaire adopted from Student Nurse Index (SNSI) Jones and Johnston 1999. ...

 In this paper, we introduce new classes $sum_{k,p,n}(alpha ,m,lambda ,l,rho )$ and $mathcal{T}_{k,p,n}(alpha ,m,lambda ,l,rho )$ of p-valent meromorphic functions defined by using the extended multiplier transformation operator. We use a strong convolution technique and derive inclusion results. A radius problem and some other interesting properties of these classes are discussed.

Transcription of the infrequently expressed phage M13 genome domain, comprising genes III, VI, I and IV, has been studied in detail by hybridization and S1-nuclease mapping studies. The contiguous genes III and VI are transcribed via an 1800 nucleotide-long RNA molecule that is initiated at a promoter which overlaps with the Rho-independent termination signal between genes III and VIII. Its syn...

in this paper, we introduce new classes $sum_{k,p,n}(alpha ,m,lambda ,l,rho )$ and $mathcal{t}_{k,p,n}(alpha ,m,lambda ,l,rho )$ of p-valent meromorphic functions defined by using the extended multiplier transformation operator. we use a strong convolution technique and derive inclusion results. a radius problem and some other interesting properties of these classes are discussed.

Expression of 5 yeast mitochondrial tRNA genes (Ala, Ile, Tyr, Asn and Metm), localized upstream from the oxil gene has been analyzed by in vitro capping using guanylyltransferase, northern hybridization and S1 nuclease mapping in the wild type and a rho-strain. The 5 tRNA sequences belong to the same transcriptional unit which is initiated 133 bp upstream from the tRNA(Ala) gene at a promoter ...

A deep convolutional neural network (CNN) is developed to study symmetry energy $E_{\rm sym}(\rho)$ effects by learning the mapping between and two-dimensional (transverse momentum rapidity) distributions of protons neutrons in heavy-ion collisions. Supervised training performed with labelled data-set from ultrarelativistic quantum molecular dynamics (UrQMD) model simulation. It found that, usi...

Genetic mapping in natural populations is increasing rapidly in feasibility and accessibility. As with many areas in genetics, advances in molecular techniques and statistics are drastically altering how we can investigate inheritance in wild organisms. For ecology and evolution, this is particularly significant and promising, because many of the organisms of interest are not amenable to conven...

‎In this paper we characterize Bergman spaces with‎ ‎respect to double integral of the functions $|f(z)‎ ‎-f(w)|/|z-w|$,‎ ‎$|f(z)‎ -‎f(w)|/rho(z,w)$ and $|f(z)‎ ‎-f(w)|/beta(z,w)$,‎ ‎where $rho$ and $beta$ are the pseudo-hyperbolic and hyperbolic metrics‎. ‎We prove some necessary and sufficient conditions that implies a function to be...

A comprehensive review on the problem of choosing a suitable activation function for the hidden layer of a feed forward neural network has been widely investigated. Since the nonlinear component of a neural network is the main contributor to the network mapping capabilities, the different choices that may lead to enhanced performances, in terms of training, generalization, or computational cost...