Summary:Purpose: To ascertain the prevalence and pattern of epilepsy and to characterize and quantify knowledge, attitude, and practice (KAP) toward epilepsy among the people of the state of Kerala, which is distinguished from the rest of India by a high level of literacy and health awareness of its population.Methods: We conducted a door-to-door survey covering the entire population of 238, I02 people residing in 43,68 I households in a seniiurban area of central Kerala. The screening questionnaire administered by medical social workers had a sensitivity of 100% for identifying persons with epilepsy. Neurologists examined all the individuals suspected of having epilepsy. We evaluated KAP toward epilepsy among 1,118 subjects (439 males and 679 females; mean age, 33.3 years; age range, 15-85 years) from households without epilepsy in the study area.Results: Through a three-phased survey, we ascertained 1,175 cases (6 16 males and 559 females) with active epilepsy, providing a crude point prevalence ratio of 4.9 cases per 1,000 people and an age-adjusted prevalence ratio of 4.7 cases per 1,000 population. The highest age-specific prevalence rate of 6.5 per 1,000 occurred in the 10-to 19-year-old age group. Sex-specific prevalence rates did not significantly differ. The proportion of generalized and localization-related epilepsies was 58.8% and 30.6%, respectively. Ninety-nine percent of the KAP respondents had read or heard about epilepsy. Thirty-one percent and 27% thought epilepsy was a hereditary disorder and a form of insanity, respectively. About 40% of the respondents felt that individuals with epilepsy could not be properly educated or employed. Eleven percent would object to their children having contact with epileptic children.Conclusions: The prevalence and pattern of epilepsy in central Kerala, South India, do not differ from that of developed countries. Although the awareness of epilepsy among the people of Kerala was comparable to that of developed countries, the attitudes were much more negative. The need for educating the people of Kerala on epilepsy and for incorporating an adequate knowledge of epilepsy in the school curricula cannot be overemphasized. Key Words: Epidemiology-Epilepsy-Knowledge, attitude and practice-KAP-Prevalence.Population-based studies, in contrast to hospital-based studies, provide a relatively unbiased picture of various aspects of the disease in question. Prevalence is a measure of the disease burden in the community, which has to be considered when planning the health needs at local, regional, and national levels. Knowing the degree of awareness and attitude toward a disease in a society is a necessary first step in eliminating discrimination against persons with that disease.

UI is quite common in Egypt and prevalence rates are higher when compared to other reports.

A total of 437 patients with epilepsy were identified, 30.7% of whom (n=134/437) were uncontrolled, with a prevalence of 2.1/1000. A total of 52.2% of uncontrolled patients (n=70/134) were inappropriately treated, while 47.8% (n=64/134) were compliant with appropriate treatments. Video monitoring EEG of compliant uncontrolled patients demonstrated that 78.1% patients (n=50/64) had definite epilepsy, while 21.9% (n=14/64) had psychogenic non-epileptic seizures (PNES). A logistic regression analysis revealed that status epilepticus, focal seizures, and mixed seizure types were risk factors for intractability.

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The perfect alignment between three or more sequences of Protein, RNA or DNA is a very difficult task in bioinformatics. There are many techniques for alignment multiple sequences. Many techniques maximize speed and do not concern with the accuracy of the resulting alignment. Likewise, many techniques maximize accuracy and do not concern with the speed. Reducing memory and execution time requirements and increasing the accuracy of multiple sequence alignment on large-scale datasets are the vital goal of any technique. The paper introduces the comparative analysis of the most well-known programs (CLUSTAL-OMEGA, MAFFT, BROBCONS, KALIGN, RETALIGN, and MUSCLE). For programs' testing and evaluating, benchmark protein datasets are used. Both the execution time and alignment quality are two important metrics. The obtained results show that no single MSA tool can always achieve the best alignment for all datasets.

Multiple protein sequence alignment (MPSA) intend to realize the similarity between multiple protein sequences and increasing accuracy. MPSA turns into a critical bottleneck for large scale protein sequence data sets. It is vital for existing MPSA tools to be kept running in a parallelized design. Joining MPSA tools with cloud computing will improve the speed and accuracy in case of large scale data sets. PROBCONS is probabilistic consistency for progressive MPSA based on hidden Markov models. PROBCONS is an MPSA tool that achieves the maximum expected accuracy, but it has a time-consuming problem. In this paper firstly, the proposed approach is to cluster the large multiple protein sequences into structurally similar protein sequences. This classification is done based on secondary structure, LCS, and amino acids features. Then PROBCONS MPSA tool will be performed in parallel to clusters. The last step is to merge the final PROBCONS of clusters. The proposed algorithm is in the Amazon Elastic Cloud (EC2). The proposed algorithm achieved the highest alignment accuracy. Feature classification understands protein sequence, structure and function, and all these features affect accuracy strongly and reduce the running time of searching to produce the final alignment result.

Blockchain technology is the most promising field in the recent decade and future in many different industries. It is based on storing data in a decentralized distributed database with an encrypted way. Permission blockchains are the most of interest to companies, organizations, and other agencies to maintain their internal processes because of their trust, high privacy and control. Nowadays we are living in digital transformation age that everything should be maintained and operated by a system to ease our daily tasks. Electronic payment systems are one of many shapes for digital transformation, and they have many challenges in sending or receiving transactions as time latency, scalability, performance, and throughput rate also there is a need to maintain any failure through the payment process till it is completed. Tracing failed transactions may take more time and effort to discover what is the root cause of failure and which component has affected it. Therefore, the proposed framework is suggested using private blockchain to overcome the time delay of tracking failures and improve performance and throughput. Our results gained from the proposed framework enables us from tracing the failed transactions with little consumed time which provides more performance and efficiency. Also, by increasing the performance of finding trouble.

New series of Mn(II), Co(II), Ni(II), Cu(II), Zn(II) and Cd(II) organometallic complexes with hydroxyl benzylidene malonohydrazide ligand have much potential as therapeutic and diagnostic agents. The ligand allows the thermodynamic and kinetic reactivity of the metal ion to be controlled and also provide a scaffold for functionalization. The establishment of structure activity relationships and elucidation of the specification of complexes under conditions relevant to drug testing and formulation are crucial for the further development of promising medicinal applications of organometallic complexes. Specific examples involving the design of metal complexes as anticancer agents are discussed. These complexes have been synthesized and characterized by ( 1 H-NMR, mass, IR, UV-VIS and ESR) spectroscopy, as well as magnetic moments, conductance, elemental and thermal analyses. Molar conductance in DMF solution indicates that, the complexes are non-electrolytes. The ESR spectra of solid Cu(II) complexes (7) and (8) showed isotropic and anisotropic types indicating an octahedral geometry with covalent bond character. However, Co(II) complexes (3) and (4) showed anisotropic type where, g┴ > g|| >2.0023, indicating compressed tetragonal distortion around Co(II) ion. Cytotoxic evolution of the ligand and its complexes have been carried out. Complexes showed enhanced activity in comparison to the parent ligand or standard drug applied