55 research outputs found
Rational engineering of Escherichia coli strain for stable and enhanced biosynthesis of pinene
Monoterpene α-pinene exhibits significant potential as an alternative fuel, widely recognized for its affordability and eco-friendly nature. It demonstrates multiple biological activities and has a wide range of applications. However, the limited supply of pinene extracted from plants poses a challenge in meeting the needs of the aviation industry and other sectors. Considering this, the microbial cell factory is the only viable option for achieving sustainable pinene production. This study employed a rational design model to optimize the copy number and integration site for the heterogenous pinene expression pathway in Escherichia coli (E. coli). The integrated strain with the best pinene pathway PG1 was selected. Subsequently, the resulting strain, E. coli HSY009, accumulated 49.01 mg/L of pinene after 24 h fermentation in the flask culture. To further enhance production, pinene expression cassette PG1 was sequentially integrated into three non-essential regions (44th, 58th, 23rd), resulting in an improved pinene titer. Then, the fermentation process under optimized conditions enhanced the production of pinene to 436.68 mg/L in a 5 L batch fermenter with a mean productivity of 14.55 mg/L/h. To the best of our knowledge, this work represents the maximum mean pinene productivity based on the currently available literature. The findings of this work provide valuable insights for optimizing E. coli to produce other valuable terpenoids that share the same intermediates, IPP and DMAPP. Conclusively, this research validates the model’s universality and highlights its potential for application as cutting-edge biofuel precursors
Challenges and Considerations in Assessing GERD: A Critical Review of a Study in Southern Punjab, Pakistan [Response to Letter]
Muhammad Fawad Rasool,1 Rimsha Sarwar,1 Muhammad Subhan Arshad,1,2 Imran Imran,3 Hamid Saeed,4 Abdul Majeed,1 Muqarrab Akbar,5 Muhammad Omer Chaudhry,6 Anees Ur Rehman,1 Waseem Ashraf,3 Tanveer Ahmad,7 Waleed Badoghaish,8 Faleh Alqahtani9 1Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan; 2Department of Pharmacy, Southern Punjab Institute of Health Sciences, Multan, 60000, Pakistan; 3Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, 60800, Pakistan; 4University College of Pharmacy, Allama Iqbal Campus, University of the Punjab, Lahore, 54000, Pakistan; 5Department of Political Science, Bahauddin Zakariya University, Multan, 60800, Pakistan; 6School of Economics, Bahauddin Zakariya University, Multan, 60800, Pakistan; 7Institute for Advanced Biosciences (Iab), CNRS UMR5309, INSERM U1209, Grenoble Alpes University, La Tronche, 38700, France; 8Department of Internal Medicine, College of Medicine, University of Tabuk, Tabuk, 71411, Saudi Arabia; 9Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, 11451, Saudi ArabiaCorrespondence: Muhammad Fawad Rasool; Faleh Alqahtani, Email [email protected]; [email protected]
Plagiarism Detection Process using Data Mining Techniques
<strong>As the technology is growing very fast and usage of computer systems is increased as compared to the old times, plagiarism is the phenomenon which is increasing day by day. Wrongful appropriation of someone else’s work is known as plagiarism. Manually detection of plagiarism is difficult so this process should be automated. There are various tools which can be used for plagiarism detection. Some works on intrinsic plagiarism while other work on extrinsic plagiarism. Data mining the field which can help in detecting the plagiarism as well as can help to improve the efficiency of the process. Different data mining techniques can be used to detect plagiarism. Text mining, clustering, bi-gram, tri-grams, n-grams are the techniques which can help in this process</strong></jats:p
A national cross-sectional study on the retention of basic life support knowledge among nurses in Palestine
Abstract Background 17.9 million deaths worldwide were attributable to cardiovascular diseases. Basic life support is one of the crucial strategies that could increase chances of cardiac arrest victims’ survival rate by nurses and other healthcare providers. Aim The aims of this study was to examine the retention of the BLS knowledge among nurses in Palestine. Methods A descriptive cross-sectional design was used to collect data from 108 nurses between February 2022 and April 2022 from two AHA-ITCs in Palestine. The instrument consisted of two sections; demographics and knowledge test which was developed by the researcher and contain a written examination containing 25 multiple-choice questions. Results Out of 160 distributed questionnaires, 108 were completed by nurses as a convenience sampling technique. Over half of the participants were male (54.6%), and the majority had a bachelor’s degree in nursing (75%). Analysis identified that there was a significant difference (t (107) = 18.02, p < 0.001) and less knowledge score in the year 2022 (M = 65.48, SD = 15.42), compared to the year 2020 (M = 92.09, SD = 4.01). The mean knowledge reduction was 26.61 and P < 0.001. The results showed no statistically significant differences in terms of level of BLS knowledge in all sociodemographic, except the level of education. Conclusions The results of this study revealed weak retention of BLS knowledge among nurses in Palestine between the years 2020 and the year of 2022. Nurses must regularly participate in BLS training and attend frequent in-service CPR training at least every 6-months to decrease the likelihood of knowledge and skills loss over time. Blended learning BLS is one of the methods to retain more knowledge and skills of BLS
Data Migration in Cloud: A Systematic Review
Data migration needs to securely transfer for maintaining confidentiality such that migration can strongly and effectively done with no data loss due to active attacks . Many techniques and methods have already been proposed by researchers around the world to secure data migration. This paper provides a critical overview of these problems and solutions and giving a proposed solution for data migration that is Attunity which can help to optimize data for replicating and transferring data thus providing a simple, faster and safer path to accelerate data by providing
Flexibility paradox between theory and practice. Optimization of an assessment tool for hospital planners
LAUREA MAGISTRALELa tecnologia è progredita rapidamente negli ultimi anni e sta ancora procedendo con le alterazioni associate in più aree, incluso l'ospedale, funzionalmente e strutturalmente. La trasformazione del ruolo e della funzione dell'ospedale nel corso degli anni è stata metamorfica. Le incertezze future sono considerate le principali sfide per i progettisti sanitari. Le strutture sanitarie dovrebbero essere pianificate in modo flessibile per affrontare queste incertezze future e avere la capacità di adattarsi ai cambiamenti.
C'è un divario significativo tra le dichiarazioni teoriche emerse in letteratura e l'applicazione pratica della flessibilità nel contesto sanitario. Numerose ipotesi, terminologia e strategie condivise in ambienti accademici sembrano essere applicate raramente in esempi pratici in campi di progettazione o costruzione.
Questa ricerca ha lo scopo di esaminare la relazione tra affermazioni teoriche ed esperienze pratiche nel campo della flessibilità nell'architettura sanitaria. Questo per determinare e coprire il divario tra teoria e pratica attraverso la fornitura di strumenti e metodologie innovative per aiutare i progettisti e i progettisti ospedalieri.
L'obiettivo di questa ricerca è quello di progettare uno strumento di valutazione basato su un elenco completo di principi di flessibilità per i progettisti per valutare le proposte delle loro strutture sanitarie durante la progettazione e il processo di pianificazione al fine di identificare in che misura le loro strutture sanitarie seguono e attuare i principi di flessibilità . Indaga la letteratura disponibile sulla flessibilità nella progettazione sanitaria, gli ospedali più moderni e innovativi che applicano i principi di flessibilità per garantire le prove future e i criteri principali per valutare la flessibilità nella progettazione ospedaliera.
Seguendo un approccio di ricerca basato sul progetto basato sull'evidenza attraverso l'analisi dello stato dell'arte e la selezione di casi studio innovativi e la loro valutazione utilizzando lo "Strumento di valutazione per la flessibilità dell'edificio aperto", si è concluso che è necessario sviluppare un più elaborato, multilivello e strumento di valutazione globale che considera i principi emersi attraverso una valutazione ottimizzata con uno spettro più ampio di principi con i livelli minimi di ambiguità possibili.
Questa ricerca completa ha portato allo sviluppo di uno strumento di valutazione della flessibilità ottimizzata per i pianificatori ospedalieri (OFAT) per consentire ai progettisti di valutare in che misura una struttura sanitaria, che è ancora in fase di progettazione o già esistente, segue i principi di flessibilità.Technology has advanced swiftly in recent years and is still proceeding with associated alterations in multiple areas, including hospital, functionally and structurally. The transformation of the role and function of the hospital through the years has been metamorphic. Future uncertainties are considered the major challenges for healthcare designers. Healthcare facilities should be planned in a flexible way to address these future uncertainties and have the capability to adapt to changes.
There is a significant gap between theoretical statements emerged in literature and the practical application of flexibility within the healthcare context. Several assumptions, terminology, and strategies that are shared in academic environments seem to be rarely applied in practical examples in design or construction fields.
This research aims to examine the relationship between theoretical statements and practical experiences in the realm of flexibility in healthcare architecture. This is to determine and cover the gap between theory and practice through the provision of innovative tools and methodologies to help hospital planners and designers.
The objective of this research is to design an assessment tool that is based on a comprehensive list of flexibility principles for designers to evaluate their healthcare facilities proposals during designing and planning process in order to identify to what extent their healthcare facilities follow and implement the flexibility principles. It investigates the available literature about flexibility in healthcare design, the most contemporary and innovative hospitals that apply flexibility principles to guarantee future proofing, and the main criteria for evaluating flexibility in hospital design.
Following an Evidence Based Design research approach through analyzing state of the art and selected innovative case studies and evaluating them using the “Assessment Tool for Open Building Flexibility”, it was concluded that there is a necessity of developing a more elaborated, multi-layered and comprehensive assessment tool that considers emerged principles through an optimized assessment with a wider spectrum of principles with the minimum possible ambiguity levels.
This comprehensive research resulted in developing Optimized Flexibility Assessment Tool for Hospital Planners (OFAT) for designers to evaluate to what extent a healthcare facility, which is still in the design process or already existing, follows the principles of flexibility
A Multiobjective Artificial-Hummingbird-Algorithm-Based Framework for Optimal Reactive Power Dispatch Considering Renewable Energy Sources
This paper proposes a new artificial hummingbird algorithm (AHA)-based framework to investigate the optimal reactive power dispatch (ORPD) problem which is a critical problem in the capacity of power systems. This paper aims to improve the performance of power systems by minimizing two distinct objective functions namely active power loss in the transmission network and total voltage deviation at the load buses subjected to various constraints within multiobjective framework. The proposed AHA-based framework maps the inherent flight and foraging capabilities exhibited by hummingbirds in nature to determine the best settings for the control variables (i.e., voltages at generation buses, the tap positions of on-load tap-changing transformers (OLTCs) and the size of switchable shunt VAR compensators) to minimize the overall objective functions. A multiobjective optimal reactive power dispatch framework (MO-ORPD) considering renewable energy sources (RES) and load uncertainties is also proposed to minimize the individual objectives simultaneously. The competency and robustness of the proposed AHA-based framework is validated and tested on IEEE 14 bus and IEEE 39 bus test systems to solve the ORPD problem. Eventually, the results are compared with other well-known optimization techniques in the literature. Box plots and statistical tests using SPSS are performed and validated to justify the effectiveness of the proposed framework
Hybrid Weighted Least Square Multi-Verse Optimizer (WLS–MVO) Framework for Real-Time Estimation of Harmonics in Non-Linear Loads
The electric power quality has become a serious concern for electric utilities and end users owing to its undesirable effects on system capabilities and performance. Harmonic levels on power systems have been pronounced to a greater extent with the continuous growth in the application of solid-state and reactive power compensatory devices. Harmonics are the key constituents that are mainly responsible for power quality deterioration. Power system harmonics need to be correctly estimated and filtered to increase power quality. This research work focuses on accurate estimation of power system harmonics with the proposed hybrid weighted least-square multi-verse optimizer (WLS–MVO) based framework. Multi-verse optimizer replicates the phenomenon of the formation of new universes as described by multi-verse theory to solve complex real-world optimization problems. The proposed WLS–MVO framework is tested and validated by estimating the harmonics present in multiple test signals with different noise levels. Amplitudes and phases of harmonics present in the polluted signal were estimated, and the framework computational time was compared with the previously developed technique’s results which are reported in the literature. There was 80% reduction in computational time and 82% improvement in terms of accuracy in estimating harmonics using WLS–MVO as compared to previously developed techniques. The performance of the developed framework is further validated by estimating the harmonics present in the real-time voltage and current waveforms obtained from axial flux permanent magnet generator (AFPMSG), uninterruptible power supply (UPS), and light-emitting diode (LED). The purposed technique technique outperforms the already-developed techniques, in terms of accuracy and computational time
Temporomandibular Disorders among Dental Students in Pakistan: Assessment of Prevalence, Severity, and Associated Factors Based on Questionnaire
Objective. To evaluate the prevalence, severity, and associated factors of temporomandibular disorder (TMD) among dental students. Methods. This cross-sectional study was performed on undergraduate dental students from four dental colleges in Punjab, Pakistan. Fonseca’s questionnaire was used to measure the prevalence and severity of the TMD among the study participants. Bivariate and multiple logistic regression analyses were performed. Results. Of 364 dental students, 323 returned the completed questionnaires and the response rate of the study was 88.7%. The study included 52.6% males and 47.4% females. The prevalence of TMD was 66.9% with mild TMD in 40.90%, moderate TMD in 14.6%, and severe TMD in 11.50% of the participants. Psychological stress (29.6%), malocclusion (20%), and hypersensitivity (19.5%) were common among participants. The mean TMD score of the sample was 31.54 ± 24.86 which was significantly higher among participants with no/school-educated mothers (P=0.021) and fathers (P=0.002). The participants with arthritis (72.81 ± 32.19) and malocclusion (59.46 ± 31.09) and those who received orthodontic treatment (53.21 ± 34.21) demonstrated higher TMD. After controlling for other study variables, the participants with arthritis were 4.71 times more likely to have moderate/severe TMD (P=0.042) than those without arthritis. Similarly, the participants with malocclusion had significantly higher odds (OR = 3.57, P=0.029) of having moderate/severe TMD than those without malocclusion. Conclusion. This sample of dental students demonstrated a high prevalence and severity of TMD. The participants with arthritis and malocclusion demonstrated higher TMD. The study findings underscore the importance of prevention, early diagnosis, and management of TMD among the dental students
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