It is virtually impossible to mention the phrase ‘project management’ without introducing the concept of risk management. As Hillson (2016, p.11) states, “risks [are] particularly relevant to projects” suggesting that effective management of risk is an integral ingredient for project success. The close link that exists between projects and risks may be deduced by the definition of the word ‘project’. In simple terms, projects refer to unique endeavours undertaken with the aim of achieving desired outcomes. These endeavours typically specific start and completion dates, and involve resource, time and cost constraints. These characteristics imply that projects are intended to deliver identifiable benefits to the organisation; these benefits, however, are not enjoyed immediately even if the project is completed. On the contrary, projects commonly create capabilities that call for operation or utilisation for the actual gains to be generated (Hillson, 2016 p.11). The interpretation of this is that projects have a risk element in that they contain a potential reward and possibility of loss. For this reason, project managers must be well-versed with risk management.
This work was focused on identification and evaluation of process parameters of modified nanoprecipitation method, for fabrication of lomustine nanoparticles, with the aim of reducing cancer cell viability at low concentration of lomustine. The parameters controlling particle size, mostly in nanosize, were solvent/nonsolvent composition and emulsification speed of homogenizer along with aqueous phase volume. This controlled particle size is below 250 nm. The stabilizer concentration controlled particle size is within 68 nm ± 0.89 to 137 ± 0.94 nm with PDI 0.06 ± 0.008 to 0.25 ± 0.001. But, the stabilizer addition mode showed more uniform size distribution with PDI 0.085 ± 0.004. Entrapment efficiency was maintained well above 47 ± 0.23%. The drug release pattern was monophasic with controlled release over 24 hrs. In the method used, drug content was affected by ratio of polymer to drug to organic solvent, as well as homogenization speed and time. Percentage viable cells of L132 human lung cancer cell line remained, were only 5% at 100 μg/ml lomustine equivalent PLA nanoparticles.
A 55‑year‑old male patient who has undergone physiotherapy sessions on and off for about 6 months has been admitted to the hospital for the recurrence of back pain along with it he has slight breathing issues while performing day‑to‑day activities, especially in forward bending activity and has been treated with pain killers and muscle relaxants during the medication periods. The patient is feeling better again, but his symptoms continue to worsen. Later, he was referred to a pulmonologist for additional evaluation after presenting with decreased diaphragm excursion, which was causing a disordered breathing pattern. He was treated with medication and referred to additional rehabilitation for low back pain management after a thorough physical examination that also included checking the patient's core and deep breathing muscles Activities of Daily Living (ADL) activities. Keywords: Chronic low back ache, diaphragm excursion and lumbar mobility, diaphragmatic breathing exercise
The potential of endemic medicinal plants in Yemen for sustainable pharmaceutical applications is home to a diverse and unique flora, with a significant proportion of endemic and near-endemic species that are traditionally used in folk medicine. This study documents 16 medicinal plant species from Abyan Governorate, Southeastern Yemen, and analyzes their traditional therapeutic uses and the extent to which they have been phytochemically investigated. The majority of these species are used to treat skin diseases, wounds, and burns. However, the findings indicate that 56.3% of these plants have not yet been studied for their active compounds. The Asclepiadaceae family was the most represented among the studied taxa, yet remains largely chemically unexplored. The study emphasizes the importance of preserving ethnobotanical knowledge and recommends future phytochemical screening and pharmacological validation of under-researched species for sustainable use in pharmaceutical development.
Mediterranean journal of pharmacy and pharmaceutical sciences
An online travel agent is one of the platforms that has evolved throughout this digital era, including Tiket.com. Unfortunately, when the Covid-19 pandemic hit, online travel agents were affected the most. Now it is time for Tiket.com to evaluate its marketing strategies to increase the customers' purchase decisions. This research aims to analyze which strategies among Perceived Trust, E-Service Quality, Online Rating, and Online Review have the biggest influence on customer’s Purchase Decision on Tiket.com. This study is conducted from September to December 2022, using a quantitative method with purposive sampling by distributing an online questionnaire to 50 customers of Tiket.com. The data is analyzed for multiple regression analysis to find the influence of each independent variable on the dependent variable. Results show that E-Service Quality, Online Rating, and Online Review have a positive and significant influence on Purchase Decision while Perceived Trust has a positive but insignificant influence on Purchase Decision. Further, Online Rating is found to have the biggest influence on Purchase Decision. Thus, it is important for Tiket.com to pay attention to its Online Rating and Review, E-service Quality, and Perceived Trust.
This study reviews indicators of poverty and the government policies and strategies to reduce and alleviate poverty in Jordan and investigate the effects of information technologies (ITC) on the poverty in Jordan, Population growth rate, GDP at current prices, consumer price index, and human development index in addition to percentage of population use internet, percentage of export and import of ITC of the total trade are used as dependent variables. Data from different resource is collected from 1999 in which the internet started in Jordan till 2018 on the abovementioned variables. The results show that there are negative impacts of the percentage of population using internet on the poverty rate while there are positive effects of human development index and consumer price index on poverty
A medication error is any preventable event that may cause or lead to inappropriate use of drugs or patient harm if it is not under the control of the health care professional. Despite the fact that healthcare professionals take the responsibility very seriously, it has been estimated that 250 000 Americans die annually due to medication errors. Although, estimates show that one in ten patients worldwide is affected by medication errors while receiving hospital care, the harm can be caused by a range of incidents or adverse events. The exact incidence of medication errors in the neonatal intensive care unit (NICU) is unknown. In neonates especially premature infants, the immaturity of developing body systems affects the absorption, distribution, metabolism and excretion of drugs and therefore an exponential risk for medication errors is present. The risk of medication errors in children are much greater than adults.
Mediterranean journal of pharmacy and pharmaceutical sciences
This paper examines the influence of empowerment on job satisfaction in five-star hotels in Jordan. The influence of empowerment on job satisfaction remains a relatively unexplored area. A 52-item questionnaire, measuring empowerment and job satisfaction, was distributed to 332 employees in 12 five-star hotels in Jordan with a 56% response rate. Principal components analysis determined the factor structure and regression analysis determined the influence of empowerment on job satisfaction. The results revealed both structural and psychological empowerment have significant individual influences on job satisfaction, but more significant when structural and psychological empowerment are combined. Most of previous studies were conducted in western economies and little in the Middle East generally and Jordan in particular. This research contributes to the literature by including both dimensions of empowerment where previous scholars used only one.
Introduction: The right lung has two fissures, an oblique and a horizontal, dividing it into three lobes namely the upper, middle, and lower. The nature of the fissure is of great importance in planning operative strategy for thoracoscopic pulmonary resection where an the incomplete fissure may contribute to post-operative air leakage Aim: To assess the gross morphological features of the right lung with special emphasis on the completeness of horizontal fissure. Material & Method: Material for the present study comprised of right lungs obtained from 50 well-embalmed adult human cadavers of both the sexes dissected as a part of 1 MBBS curriculum in the Department of Anatomy, Govt. Medical College, Amritsar. Results: Horizontal fissure was found to be complete in only 10% of the lungs while in rest 90% it was either incomplete or absent. Conclusion: Inferable from the huge variation in nonappearance or partial appearance of horizontal fissure in the right lung and to the absence of an acceptable classification of fissures, an endeavor has been made to give one such classification. In like manner, the horizontal fissure is evaluated from Grade zero to IV contingent on its absence and profundity from coastal surface to the hilum. Each evaluation is additionally divided into 3 subgrades relying on the culmination or incompleteness of these fissures with respect to their length.
The aim of this study is to identify the move from cultural to creative cultural tourism as new model for meeting tourists' demands for creative experiences. Hence, traditional cultural tourism must reinvent itself as creative tourism for those creative tourists seeking more interactive experiences. This new trend in creative cultural tourism has emerged from the changes in the production of cultural tourist commodities, the skilled tourist activities, and new consumption patterns. Moreover, creative cultural tourism can solve those problems experienced by traditional cultural tourists. A literature review confirmed that a move to creative cultural tourism, or intangible heritage (i.e., linguistic diversity or gastronomy), from tangible cultural attractions (i.e., museums, monuments, and so forth) increases the attractiveness of tourism destinations. In addition, this study explains the transformation from traditional cultural to creative cultural tourism.
Here, we report the draft genome sequences of Bacillus subtilis A1, Sphingobacterium sp. strain A3, and Pseudomonas sp. strain A29; Sphingobacterium sp. A3 and Pseudomonas sp. A29 were identified as Bacillus velezensis strain A3 and Bacillus subtilis strain A29, respectively, after a quality control check of the wholegenome sequences deposited in the NCBI database. These bacteria exhibit tremendous production of siderophores and significant antimicrobial potential. When inoculated on maize, these isolates increase its yield
This research is the result of research that describes the implementation of the Take and Give learning model in the fifth grade social studies subject at MI Ar-Rahim, Arjasa, Jember. The learning process includes 3 stages, namely the planning, implementation, and evaluation stages. This research aims to answer. Based on the background described above, the formulation of the problems in this study are: 1. How is the preparation in implementing the Take and learning model for class V social studies subjects at MI Ar-Rahim, Arjasa District, Jember Regency? 2. What is the process of implementing the Take and Give learning model for the fifth grade social studies subject at MI Ar-Rahim, Arjasa District, Jember Regency? 3. How is the evaluation in implementing the Take and Give learning model for the fifth grade social studies subject at MI Ar-Rahim, Arjasa District, Jember Regency? The research method used is descriptive qualitative with data collection techniques using observation, interviews and documentation. The data sources in this study were the Principal, Teachers and Grade V Students of Class V Social Studies at MI Ar-Rahim, and other supporting documents. The results of this study indicate: 1. The implementation of the Take and Give learning model in the preparation stage has fulfilled all preparations well. 2. The process of implementing learning in class makes the learning atmosphere fun and students become more active. 3. At the evaluation stage all students have reached the assessment criteria in 3 aspects of the assessment, namely attitudes, knowledge and skills Penelitian ini adalah hasil penelitian yang menggambarkan tentang implementasi model pembelajaran Take and Give pada mata pelajaran IPS kelas V di MI Ar-Rahim Kecamatan Arjasa Kabupaten Jember. Proses pembelajaran tersebut meliputi 3 tahap, yaitu tahap perencanaan, pelaksanaan, dan evaluasi. Adapun penelitian ini bertujuan untuk menjawab Berdasarkan latar belakang yang telah dipaparkan di atas, maka rumusan masalah dalam penelitian ini adalah: 1. Bagaimana persiapan dalam mengimplementasikan model pembelajaran Take and mata pelajaran IPS kelas V di MI Ar-Rahim Kecamatan Arjasa Kabupaten Jember? 2. Bagaimana proses dalam implementasi model pembelajaran Take and Givemata pelajaran IPS kelas V di MI Ar-Rahim Kecamatan Arjasa Kabupaten Jember? 3. Bagaimana evaluasi dalam mengimplementasikan model pembelajaran Take and Givemata pelajaran IPS kelas V di MI Ar-Rahim Kecamatan Arjasa Kabupaten Jember? Metode penelitian yang digunakan adalah kualitatif deskriptif dengan teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Adapun sumber data dalam penelitian ini adalah Kepala Sekolah, Guru dan Peserta didik kelas V mata pelajaran IPS kelas V di MI Ar-Rahim, dan dokumen penunjang lainnya. Hasil penelitian inimenunjukkan: 1. Implementasi model pembelajaran Take and Give pada tahap persiapan sudah memenuhi segala persiapan dengan baik. 2. Proses pelaksanaan pembelajaran dikelas membuat suasana belajar menjadi menyenangkan dan peserta didik menjadi lebih aktif. 3. Pada tahap evaluasi semua peserta didik telah mencapai kriteria penilaian dalam 3 aspek penilaian yaitu sikap, pengetahuan dan keterampilan.
Dry powder injection of spironolactone was developed using lyophilization and hydrotropic solubilization method. It is fast acting medication in emergencies like refractory edema associated with heart failure and hepatic cirrhosis. The ultimate aqueous based powder prepared showed 892.85 and 378.57 times increased solubility of spironolactone with sodium salicylate and sodium benzoate as compared to its water solubility. Amongst six hydrotropic agents, the solubility was increased in the order sodium salicylate > sodium benzoate > nicotinamide > sodium ascorbate > urea > sodium acetate. IR graph showed shift of wavenumber of characteristic peaks. Lyophilization technique produced more stable product against different temperature cycles and stability parameters. Degradation was only about 0.45% at room temperature and it was more about 1.3% at higher temperatures. Haemolytic activities of lyophilized formulations observed were 8.54% to 96.85% for sodium salicylate based hydrotropic lyophilized system and 3.50 to 88.17% for sodium salicylate based hydrotropic lyophilized system.
Background General Government Health Expenditure (GGHE) in Mauritius accounted for only 10% of General Government Expenditure for the fiscal year 2018. This is less than the pledge taken under the Abuja 2001 Declaration to allocate at least 15% of national budget to the health sector. The latest National Health Accounts also urged for an expansion in the fiscal space for health. As public hospitals in Mauritius absorb 70% of GGHE, maximising returns of hospitals is essential to achieve Universal Health Coverage. More so, as Mauritius is bracing for its worst recession in 40 years in the aftermath of the COVID-19 pandemic public health financing will be heavily impacted. A thorough assessment of hospital efficiency and its implications on effective public health financing and fiscal space creation is, therefore, vital to inform ongoing health reform agenda. Objectives This paper aims to examine the trend in hospital technical efficiency over the period 2001–2017, to measure the elasticity of hospital output to changes in inputs variables and to assess the impact of improved hospital technical efficiency in terms of fiscal space creation. Methods Annual health statistics released by the Ministry of Health and Wellness and national budget of the Ministry of Finance, Economic Planning and Development were the principal sources of data. Applying Stochastic Frontier Analysis, technical efficiency of public regional hospitals was estimated under Cobb–Douglas, Translog and Multi-output distance functions, using STATA 11. Hospital beds, doctors, nurses and non-medical staff were used as input variables. Output variable combined inpatients and outpatients seen at Accident Emergency, Sorted and Unsorted departments. Efficiency scores were used to determine potential efficiency savings and fiscal space creation. Findings Mean technical efficiency scores, using the Cobb Douglas, Translog and Multi-output functions, were estimated at 0.83, 0.84 and 0.89, respectively. Nurses and beds are the most important factors in hospital production, as a 1% increase in the number of beds and nurses, result in an increase in hospital outputs by 0.73 and 0.51%, respectively. If hospitals are to increase their inputs by 1%, their outputs will increase by 1.16%. Hospital output process has an increasing return to scale. With technical efficiencies improving to scores of 0.95 and 1.0 in 2021–2022, potential savings and fiscal space creation at hospital level, would amount to MUR 633 million (US$ 16.2 million) and MUR 1161 million (US$ 29.6 million), respectively. Conclusion Fiscal space creation through full technical efficiency, is estimated to represent 8.9 and 9.2% of GGHE in fiscal year 2021–2022 and 2022–2023, respectively. This will allow without any restrictions the funding of the national response for HIV, vaccine preventable diseases as well as building a resilient health system to mitigate impact of emerging infectious diseases as experienced with COVID-19.
Homoeopathy is one of the latest systems of medicine discovered at the latter part of 18th century, first rose to prominence in the 19th century due to its success in treating epidemics and is currently second largely utilized system of medicine globally. Prophylaxis through Homoeopathy has been strongly promulgated by stalwarts and popular among the general public in the recent times, but still controversy revolves around it. Aim of the study is to review the available literature for analyzing the usefulness of Homoeopathy in prophylaxis of human, animal as well as plant diseases. A comprehensive search has been made in electronic database aimed to target the available literature of various levels of evidence. Examples are summarized under different areas of applicability of homeopathic medicine as prophylactic. Currently there is convincing evidence to support effectiveness of Homoeopathy in prophylaxis, though sparse. More rigorous research studies are warranted to enlarge the horizon of its application.
Urolithiasis is a common worldwide problem with high recurrence. This review covers Euphorbiaceae twenty (20), Cucurbitaceae eighteen (18), Acanthaceae and Amaranthaceae fifteen (15), Cupressaceae twelve (12), Caryophyllaceae eleven (11), Anacardiaceae ten (10), Amaryllidaceae, Apocynaceae and Asparagaceae nine (09), Ericaceae and Equisetaceae eight (08), Arecaceae and Caesalpiniaceae seven (07), Chenopodiaceae six (06), Aspleniaceae, Capparidaceae and Crassulaceae five (05) plants used globally in different countries. Hopefully, this review will not only be useful for the general public but also attract the scientific world for antiurolithiatic drug discovery.
Internet of Things (IoT) enhances the global connectivity to all the remote sensing devices. It enables the connectivity of communication and processing the real-time data that has been collected from an enormous number of connected sensing devices. There is an increase in the IoT technology that leads to various malicious attacks. It is more important to overcome the malicious attacks, mainly to stop attackers or intruders from taking all the control of devices. Ensuring the safety and accuracy of the sensing devices is a serious task. It is very much important to enabling the authenticity and integrity to obtain the safety of the devices. Dynamic tree chaining, Geometric star chaining and Onion encryption are the three solutions that has been proposed in this project for in order to enable authenticity and integrity with information hiding for secure communication. The simulation results are driven displays that the proposed system is very stable and much better than other existing solution in means of security, space and time.
This paper proposes EPyNet, a deep learning architecture designed for energy reduced audio emotion recognition.In the domain of audio based emotion recognition, where discerning emotional cues from audio input is crucial, the integration of artificial intelligence techniques has sparked a transformative shift in accuracy and performance.Deep learning , renowned for its ability to decipher intricate patterns, spearheads this evolution. However, the energy efficiency of deep learning models, particularly in resource-constrained environments, remains a pressing concern. Convolutional operations serve as the cornerstone of deep learning systems. However, their extensive computational demands leading to energy-inefficient computations render them as not ideal for deployment in scenarios with limited resources. Addressing these challenges, researchers came up with one-dimensional convolutional neural network (1D CNN) array convolutions, offering an alternative to traditional two-dimensional CNNs, with reduced resource requirements. However , this array-based operation reduced the resource requirement, but the energy-consumption impact was not studied. To bridge this gap, we introduce EPyNet, a deep learning architecture crafted for energy efficiency with a particular emphasis on neuron reduction. Focusing on the task of audio emotion recognition, We evaluate EPyNet on five public audio corpora-RAVDESS, TESS, EMO DB, CREMA D, and SAVEE.We propose three versions of EPyNet, a lightweight neural network designed for efficient emotion recognition, each optimized for different trade-offs between accuracy and energy efficiency. Experimental results demonstrated that the 0.06M EPyNet reduced energy consumed by 76.5% while improving accuracy by 5% on RAVDESS, 25% on TESS, and 9.75% on SAVEE. The 0.2M and 0.9M models reduced energy consumed by 64.9% and 70.3%, respectively. Additionally, we compared our Proposed 0.06M system with the MobileNet models on the CIFAR-10 dataset and achieved significant improvements. The 1035 proposed system reduces energy by 86.2% and memory by 95.7% compared to MobileNet, with a slightly lower accuracy of 0.8%. Compared to MobileNetV2, it improves accuracy by 99.2% and reduces memory by 93.8%. When compared to MobileNetV3, it achieves 57.2% energy reduction, 85.1% memory reduction, and a 24.9% accuracy improvement. We further test the scalability and robustness of the proposed solution on different data dimensions and frameworks.
Sentiment analysis and opinion mining is a branch of computer science that has gained considerable growth over the last decade. This branch of computer science deals with determining the emotions, opinions, feelings amongst others of a person on a particular topic. Social media has become an outlet for people to voice out their thoughts and opinions publicly about various topics of discussion making it a great domain to apply sentiment analysis and opinion mining. Sentiment analysis and opinion mining employ Natural Language Processing (NLP) in order to fairly obtain the mood of a person’s opinion about any specific topic or product in the case of an ecommerce domain. It is a process involving automatic feature extractions by mode of notions of a person about service and it functions on a series of different expressions for a given topic based on some predefined features stored in a database of facts. In an ecommerce system, the process of analyzing the opinions of customers about products is vital for business growth and customer satisfaction. This proposed research will attempt to implement a model for sentiment analysis and opinion mining on Twitter feeds. In this paper, we address the issues of combining sentiment classification and the domain constraint analysis techniques for extracting opinions of the public from social media. The dataset that was employed in the paper was gotten from Twitter through the tweepy API. The TextBlob library was used for the analysis of the tweets to determine their sentiments. The result shows that more tweets were having a positive subjectivity and polarity on the subject matter.
The main theme of this paper is to implement the mobility model in the Cooja simulator and to investigate the impact of mobility on the performance of Routing Protocol over Low power Lossy networks (RPL) in the IoT environment. In the real world, mobility occurs frequently. Therefore in this paper, a frequently used mobility model - Random Way Point (RWP) is used for analysis. RWP can be readily applied to many existing applications. By default, the Cooja simulator does not support mobility models. For this, the Bonn Motion is introduced into Cooja as a plugin. As IoT deals with the resource-constrained environment, a comparison is done between the static environment and the mobile environment in terms of power consumption. As expected, the results indicate that mobility affects the RPL in terms of Power Consumption
Augustine University Ilara Epe, Lagos, Nigeria
Jntua, Aicte
Banasthali Vidyapith