The present study is conducted to determine occupational health and safety hazards with special focus on ergonomic hazards among healthcare facility (HCF) workers. A structured questionnaire survey was conducted among 200 workers in five HCFs of Lahore, Pakistan. Among the reported ergonomic hazards, muscle aches/ sprains (76.5%), elbow/ wrist/ neck pain (56.0%), body posture issues (56.0%), excessive stretching of muscles (67.5%) and bending/ twisting at work (55.5%) were commonly encountered. Biological hazards included incidences of cuts/wounds/ lacerations (69.0%), contact with specimens (56.0%), exposure of airborne diseases (64.0%) and other infections (72.0%) inspite of the fact that majority (90.0%) were aware of procedures where needle stick injuries are most likely to occur and knowledgeable on occupational infections. Physical hazards included slips/trips/falls (65.0%), high noise levels (64.0%) and chemical spills (54.0%). A significant percentage of workers experienced psychosocial hazards including work related stress (77.0%) and some form of psychosocial or physical abuse (68.5%). Despite workers awareness about occupational health hazards and implementation of control measures by HCF to mitigate hazards (especially biological) prevalence of hazards was reported. Hence, there is a need to improve working standards and conditions to reduce the occurrence of ergonomic and psychosocial hazards.
In Internet of Things (IoT)-based network systems (IoT-net), intrusion detection systems (IDS) play a significant role to maintain patient health records (PHR) in e-healthcare. IoT-net is a massive technology with security threats on the network layer, as it is considered the most common source for communication and data storage platforms. The security of data servers in all sectors (mainly healthcare) has become one of the most crucial challenges for researchers. This paper proposes an approach for effective intrusion detection in the e-healthcare environment to maintain PHR in a safe IoT-net using an adaptive neuro-fuzzy inference system (ANFIS). In the proposed security model, the experiments present a security tool that helps to detect malicious network traffic. The practical implementation of the ANFIS model on the MATLAB framework with testing and training results compares the accuracy rate from the previous research in security.
In this manuscript, we present a new general family of optimal iterative methods for finding multiple roots of nonlinear equations with known multiplicity using weight functions. An extensive convergence analysis is presented to verify the optimal eighth order convergence of the new family. Some special cases of the family are also presented which require only three functions and one derivative evaluation at each iteration to reach optimal eighth order convergence. A variety of numerical test functions along with some real-world problems such as beam designing model and Van der Waals’ equation of state are presented to ensure that the newly developed family efficiently competes with the other existing methods. The dynamical analysis of the proposed methods is also presented to validate the theoretical results by using graphical tools, termed as the basins of attraction.
The goal of this paper is to generalize the main results of [1] and subsequent papers on metric Diophantine approximation with dependent quantities to the set-up of systems of linear forms. In particular, we establish “joint strong extremality” of arbitrary finite collection of smooth nondegenerate submani- folds of .The proof was based on quantitative nondivergence estimates for quasi-polynomial flows on the space of lattices.
I S S N 2 3 4 7 -1921 V o l u m e 1 3 N u m b e r 4 J o u r n a l o f A d v a n c e i n M a t h e m a t i c s | ABSTRACTThis paper is based on Khintchine theorem, Groshev theorem and measure and dimension theorems for nondegenerate manifolds. The inhomogeneous Diophantine approximation of Groshev type on manifolds is studied. Major work is to discuss the inhomogeneous convergent theory of Diophantine approximation restricted to non-degenerate manifold in , based on the proof of Barker-Sprindzuk conjecture, the homogeneous theory of Diophantine approximation and inhomogeneous Groshev type theory for Diophantine approximation, by the decomposition of the set in manifold, with the aid of Borel Cantell lemma and transformation of lemma and its properties and the main inhomogeneous conversion principle, we know these two types of set in sense of Lebesgue measure is zero provided that the convergent sum condition is satisfied, from which several conclusions about the inhomogeneous convergent theory of Diophantine approximation is obtained. The main result is that Lebesgue measure is inhomogeneous strongly extremal. At last we use the fact that friendly measure is strongly contracting measure to develop an inhomogeneous strong extreme measure which is restricted to matrices with dependent quantities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.