A Study of Factors Influencing the Adoption of Artificial Intelligence in Crisis Management

This paper presents a study on the Factors Influencing the Adoption of Artificial Intelligence (AI) in Crisis Management. The research identifies 28 AI usage factors categorized into seven groups: Large-Scale Machine Learning, Deep Learning, Reinforcement Learning, Robotics, Computer Vision, Natural Language Processing, and Internet of Things. The study conducted a questionnaire survey among 281 employees at the UAE National Crisis and Emergency Management Authority, using purposive sampling to assess their opinions regarding the impact of these usage factors on the adoption of AI in crisis management. The collected data underwent descriptive analysis to determine the ranking of AI usage factors within each of the seven groups. In terms of group rankings, Robotic emerged as the top-ranking factor, followed by Reinforcement Learning. Large-Scale Machine Learning occupied the next position, succeeded by Natural Language Processing, Deep Learning, Internet of Things, and Computer Vision, which held the lowest rank. Furthermore, when examining the correlation between these usage factor groups, it was discovered that most of them exhibited strong positive correlations, with correlation coefficients ranging from 0.634 to 0.934. This indicates that changes in one variable are associated with predictable changes in another variable. While this information can be instrumental in understanding relationships and making predictions, it does not establish a causal relationship

A Model of Factors Influencing the Implementation of Artificial Intelligent in Crisis Management: A Case Study of National Crisis and Emergency Management Authority (NCEMA)

This paper outlines the development of a structural equation model focusing on factors influencing the implementation of AI in crisis management within the UAE National Crisis and Emergency Management Authority. Literature has identified 28 factors which are categorized into seven domains that influencing the implementation of AI in crisis management for the model. The model was constructed and evaluated using SmartPLS software. The model was evaluated at its measurement and structural components. The results revealed that at the measurement component, the model met all evaluation criteria. While, at the structural component, the relationship between 'CoV' and 'CrM' was statistically significant (T-statistic = 2.633, P-value = 0.009), indicating a robust connection. However, the links between 'ReF' and 'CrM' and 'LSM' and 'CrM' were not statistically significant (P-values = 0.999 and 0.949, respectively), suggesting limited impact on 'CrM.' Relationships between 'RoB,' 'IoT,' 'DeL,' and 'NLP' with 'CrM' showed moderate evidence but lacked statistical significance, possibly due to data limitations. Furthermore, the model demonstrated a strong fit, with an R-squared (R²) value of 0.761, explaining approximately 76.1% of the variance in "CrM" with the seven independent variables. Lastly, for predictive relevance, the "CrM" as a dependent construct displayed a Q² value of 0.608, indicating that around 60.8% of the variation in "CrM" is explained by the model beyond random chance, confirming its strong predictive value

Application of the Methylated Markers (Spectrin Beta and DEAD-Box Protein) for Definitive Differentiation Between Fresh and Aged Semen by evaluating Their Role in Identifying Semen From Mixed Body Fluids

Background: Semen identification is assumed a crucial proof of sexual assault. Moreover, body fluids at the crime scene of a human being, such as blood, semen, and saliva, are often mixed.Methods: Hence, in our study, we aimed to use methylation analysis targeting DNA epigenetic markers Spectrin beta chain (B_SPTB_03) and DEAD-box protein (DDX4) to differentiate between fresh semen (less than 4 hours) and aged semen (after 24 hours) as well as to differentiate between semen alone and semen mixed with other body fluids (blood and saliva) in the fresh and dried state.Results: Our findings showed statistically significant differences in the methylation patterns of the SPTB and DDX4 loci to distinguish semen from mixed body fluids in fresh and old samples. We were able to obtain two novel cutoff values to differentiate between fresh and aged semen, which are (52.25) with the SPTB marker and (70.75) with the DDX4 marker. Conclusion: It is concluded that the methylation approach based on the epigenetic markers of Spectrin beta chain and DEAD-box protein (B_SPTB_03 and DDX4) successfully identified fresh from aged semen and semen-derived alleles from mixed stains, hence it is recommended to be employed in forensic practice

The Conditions of Amplification for Nano Quantum Diodes

It is well known that nanomaterials are described by quantum laws. In this work quantum treatment for two metal contacts or diodes on a nanoscale was done. A useful expression for the input and output current is found by using the notion of the current density in quantum mechanics. The conditions required by this contact to act as a rectifier and amplifier are discussed. It found that certain restrictions should be imposed on the potential and the wave number for the metal contact to act as an amplifier. This requires the potential barrier to be positive this requires the region of incident current to have work function less than the transmuted one

Acute Liver Failure and the Neurological Complications: Theoretical Review

This study aimed at theoretically reviewing the Acute Liver Failure (ALF) and the Neurological Complications by reviewing the related studies in this area. As the problem of this study lies in exploring the neurological complications caused by Acute Liver Failure, and defining the causes of Acute Liver Failure, besides Diagnosing of Acute Liver Failure and the treatment processes of Acute Liver Failure. And the study concluded that the management of acute liver failure addresses the individual pathophysiological processes that occur in this condition. It improves chances of survival in patients awaiting liver transplantation and dramatically reduces the risk of death from neurological complications

Effect of size and location of solid on conjugate heat transfer in porous cavity

The highlight of this article is the influence of a solid over heat transfer characteristics in a square porous cavity. The solid placed inside the porous medium is fraction of the whole domain whose size is varied at 5 different locations of the cavity such as left ( = 0 ), center ( = 0.5), right ( = 1), mid of left and center ( = 0.25), mid of center and right ( = 0.75) wall of cavity. The equations that govern the physical phenomenon have been simplified using popular numerical technique such as finite element method. These simultaneous equations are solved for the solution variables such as temperature and the stream function. The physical domain is divided into smaller segments with the help of triangular elements. The left and right vertical surfaces of cavity are maintained at hot and cold temperature Th and Tc such that Th>Tc

Structure-Based Virtual Screening of Antiviral Compounds Targeting the Norovirus RdRp Protein

Background: Human noroviruses (NV) are the primary etiological organisms causing acute gastroenteritis around the world, causing severe morbidity and imposing a significant economic burden. The RNA-dependent RNA polymerase (RdRp) is essential for viral replication and could be a promising target for anti-NV therapeutics. Despite the discovery of a few NV RdRp inhibitors, the majority of these pharmaceuticals have demonstrated limited efficacy in inhibiting viral replication in cellular models.Methods: In this study, computational screening of antiviral compounds was conducted targeting the NV RdRp protein. The assessment was based on binding poses and the key residues of RdRp involved in interactions with compounds.Results: The compounds namely, Ribavirin, BMS806, Dihydromyricetin, R7935788, and LY2784544 were found to bind the RdRp protein with high affinity. Notably, these compounds displayed significantly lower binding affinities compared to the positive control, PPNDS. In addition, these compounds exhibited many RdRp protein binding residues that were also present in the PPNDS.Conclusion: The results presented here suggest that these compounds have the potential to be used as inhibitors of NV RdRp in the development of antiviral medications. Nevertheless, due to the computational nature of this study, it is imperative to do experimental validation.Keywords: Noroviruses; RdRp; Virtual screening; Antiviral Compounds 

Reproductive Toxicity Induced by Low Dose Bisphenol A(BPA) in Male Rats

Bisphenol A(BPA) an endocrine disruptor used in the manufacturing process of plastic. BPA low doses on long exposure periods had many hazardous effects. The aim of the present study was to assess the effect of lowest dose of BPA on the male induced orally on the at reproductive performance and changes in the testes that takes place histologically. P53 gene expression by Realtime PCR was also evaluated. Seventy- two albino male rats were divided into two groups, group I (control male rats receiving corn oil only). Group II (64 male rats) which was treated with oral doses of 50 µg/ kg/ day daily for 8 weeks. Every week 8 male rats were dissected and subjected to the investigated parameters. BPA treated groups presented decrease in sperms count, motility, progression and viability as well as a significant increase in sperms head or/and tail abnormalities were recognized. Histology of the testes showed abnormal and irregular organization of seminiferous tubules and decreased sperms in the testes lumen. Moreover, up-regulation in p53 expression was recorded after BPA exposure. In conclusion, these results showed that exposure to BPA at low dose 50µg/kg can cause many reproductive disorders which may impair fertility

General Practitioners, Nurses and Clinical Laboratory Responsibility in Blood Transfusion Monitoring Care Plan and Early Intervention: Review

The objective of this analysis was to assess the responsibilities that physicians, nurses, and clinical laboratory staff play in the process of transfusions of blood and blood products, as well as their ability to intervene promptly in the event that difficulties arise during blood transfusions. It is possible for educational programs concerning blood transfusion to have a favorable impact on the knowledge and performance of physicians, nurses, and clinical laboratory personnel. There is a pressing need to enhance the knowledge and competence of nurses on the unintended consequences that can result from receiving a blood transfusion. An knowledge of the ethical and legal concerns that are involved, the provision of thorough medical management, the utilization of prohaemostatic drugs, and the utilization of essential interventions and strategies to limit blood loss and, as a result, the risk of a subsequent need for blood transfusion are all necessary components of the management of such patients by medical professionals

Molecular Identification of Ladybird Beetles (Coccinella: Coccinellidae) Using DNA Barcodes

DNA barcoding is a molecular genetics technique commonly applied for species identification based on the cytochrome c oxidase subunit I (COI) gene located on the mitochondrial DNA genome. Based on our analysis, the DNA barcodes were generated from 16 specimen of Coccinella (family Coccinellidae). All the samples were collected from diverse sites in Egypt and Libya. Morphological traits based on the number of dorsal spots, DNA extraction, PCR amplification of COI, sequencing, nucleotide BLAST, and phylogenetics analyses were used to classify the specimens. A phylogenetic tree was constructed using the maximum likelihood method, including 46 COI sequences (the study and NCBI sequences). Three Coccinella clusters were defined and classified as Coccinella septempunctata, Coccinella novemnotata, and Coccinella undecimpunctata each species clustered into a unique branch. DNA barcodes discriminated clearly against the analyzed species. This study validated the COI efficiency as a marker for DNA barcoding of insects (Coccinella, family Coccinellidae)