Background and Purpose: We aimed to investigate the effect of smoking on the risk of intracranial aneurysm (IA) rupture (IAR), specifically relationship between the number of cigarettes smoked per day (CPD) or smoking index and the risk of IAR. Materials and Methods: We performed a single-center case–control study of consecutive patients evaluated or treated for IA at our institution from June 2017 to July 2018. Cases were patients with a ruptured IA. Two age- and sex-matched controls with an unruptured IA were included per case. Conditional logistic regression models were used to assess the relationship between both the CPD and smoking index (CPD x years of smoking) and IAR. Results: The study population included 300 cases of IAR and 300 controls. The higher IAR risk was associated with cigarette smoking. Our subgroup analysis of smokers revealed a significant association between IAR risk and current smoking (OR, 2.8; 95% CI, 1.2–6.3; P = 0.012), current heavy smoking (CPD>20) (OR, 3.9; 95% CI, 1.4–11.0; P = 0.007), and a smoking index >800 (OR, 11.4; 95% CI, 2.3–24.5; P= 0.003). Conclusion: A dose–response relationship has been noted for intensity and duration of smoking consumption and increased risk of IAR. As smoking is modifiable, this finding is important to managing patients with IAs to quit or reduce smoking prior to life-threatening subarachnoid hemorrhage.

Kamal singh

Service quality in the hospitality industry becomes one of the most important factors for gaining a sustainable competitive advantage and customers’ confidence in the highly competitive marketplace, and therefore service quality can give the hospitality industry a great chance to create competitive differentiation for organisations. It is thus considered as a significant core concept and a critical success factor in the hospitality industry. A successful hotel delivers excellent quality service to customers, and service quality is considered the life of hotel. Many benefits can be achieved by service quality such as establishing customer satisfaction, contributing to business image, establishing customer loyalty, and providing a competitive advantage to a business. Service quality performance can mean different to different people, for example, employees may show higher perceptions of service quality than customers perceived, and thus managers and their employees never like to identify deficiencies in service quality

Mukhles m. al-ababneh

The conservation of traditional medicinal knowledge opens the door towards modern aspects of herbal drug discovery. It started with knowledge exchange through ethnic groups through oral tradition and then in the documented form. Herbaria conserving identified and authenticated plants for future correspondence play an important role. In presenting the review, the authors have declared different auxiliary aspects of herbaria for phytomedicinal research.

Dr. salman ahmed

The past few decades have witnessed several attempts to establish renowned medical journals in the Republic of Yemen. Some of these initiatives were successful but fell short of the researchers’ expectations, because they failed to meet international standards of scholarly writing in the medical field. Recently, the civil war has dashed any hopes of launching such a journal from within the country. We believe that this is the right time to establish a new peer-reviewed medical journal of high standards which meet the expectations of all Yemeni researchers across the board, from both within and outside the country. As a result of enormous efforts, discussions, and extensive collaboration, we have now been able to finalize the structure and content of the Yemen Journal of Medicine (YJM). Files

Karishma

Cardiovascular drugs constitute one of the largest and most widely used among other diseases and cardiovascular drug market has largely been exploded . Although these drugs have the potential to significantly improve the treatment of various cardiac diseases. They are potent agents with potential for serious adverse effects, toxicity and drug interactions. Newer agents are considerably costly than older drugs and, therefore, cost-effective strategies must be developed. Thrombolytics are pharmacological agents come from bacterial origin as streptokinase and staphylokinase or from human origin as urokinase or t-PA. Thrombolytics are used to restore blood flow to infracted artery quickly. Only streptokinase, alteplase, reteplase and tenecteplase are approved by US-FDA for treatment of ST-elevation myocardial infraction (ST-EMI) [3]. This reopens blood vessels after their occlusion and prevents tissue necrosis. Although, the safe and effective use of each of these drugs requires a thorough understanding of appropriate patient selection, drug timing, dosing regimens and monitoring parameters. The greatest benefit to risk ratio for specific drugs is seen in certain subsets of patients the complexities of cardiovascular drug therapy illustrate the need for an in depth current knowledge of clinical trial evidence.

Mediterranean journal of pharmacy and pharmaceutical sciences

Radio resource allocation in VCN is a challenging role in an intelligent transportation system due to traffic congestion. Lot of time is wasted because of traffic congestion. Due to traffic congestion, user has to miss their important work. In this paper, we propose radio resource allocation scheme so that user can utilize their time by taking the advantage of subscription plan. In this scenario, multitype vehicle identification scheme from real time traffic database is proposed, its history will match in transport database and vehicle travelling history database. Proposed method indicates 95% accuracy for multitype vehicle detection. Subscription plans are allocated to the user on the basis of resource allocation, scheduling, levelling and forecasting. This scheme is better for traffic management, vehicle tracking as well as time management.

Vartika agarwal

Tomato is one of the most important vegetables worldwide. It is considered a mainstayof many countries’ economies. However, tomato crops are vulnerable to many diseasesthat lead to reducing or destroying production, and for this reason, early and accuratediagnosis of tomato diseases is very urgent. For this reason, many deep learning modelshave been developed to automate tomato leaf disease classification. Deep learning isfar superior to traditional machine learning with loads of data, but traditional machinelearning may outperform deep learning for limited training data. The authors proposea tomato leaf disease classification method by exploiting transfer learning and featuresconcatenation. The authors extract features using pre-trained kernels (weights) fromMobileNetV2 and NASNetMobile; then, they concatenate and reduce the dimensionalityof these features using kernel principal component analysis. Following that, they feedthese features into a conventional learning algorithm. The experimental results confirmthe effectiveness of concatenated features for boosting the performance of classifiers.The authors have evaluated the three most popular traditional machine learning classifiers,random forest, support vector machine, and multinomial logistic regression; amongthem, multinomial logistic regression achieved the best performance with an averageaccuracy of 97%.

Mehdhar s. a. m. al-gaashani

Cloud computing is a technology of delivering resources such as hardware, software (virtual too) and bandwidth over the network to the consumers worldwide. All the services are requested and accessed through a web browser or web service. The main advantage that cloud is provided to the nation worldwide is that it is not so easily affordable to one and all. Multi-conglomerate companies invest a lot of money on the cloud and let people access it for a smaller cost and even free at the lowest level of the consumer chain. In this paper we address to the problems that the cloud technology faces and how it can be overcome.

Pavan m

Ascorbic acid (vitamin C) is a water-soluble vitamin; it is present in the highest concentration in the brain. Ascorbic acid in high doses acts as a potential treatment for various neuropathological and psychiatric conditions. Flumazenil is a benzodiazepine antagonist; it competitively inhibits the activity of benzodiazepine and non-benzodiazepine substances that interact with benzodiazepine receptors site on the GABA/benzodiazepine receptor complex. This study aims to investigate the effect of flumazenil on the anxiolytic action of ascorbic acid using an elevated plus maze model of anxiety in rats. Male Albino Wistar rats weighing between 250 and 320 grams were used. Rats were divided into four equal groups of seven rats each and treated as follows: Group I, the control group received a single dose of 1.0% tween 80; Group II treated with a single dose of 125 mg/kg ascorbic acid; Group III was injected by a single dose of 1.0 mg/kg flumazenil; Group IV received a combination treatment of 125 mg/kg ascorbic acid and 1.0 mg/kg flumazenil. Behavioural measurements using a plus maze were scored 30 min after the administration. The parameters scored are the time spent on the open and closed arms, the lines and number of entries into open and closed arms, and the anxiety measure. Ascorbic acid decreased anxiety measure and increased the total lines and total number of entries; this effect was abolished by the administration of flumazenil with ascorbic acid. Thus, ascorbic acid produces an anxiolytic-like effect in rats; this effect was abolished by flumazenil administration with ascorbic acid. This may indicate that the GABA/benzodiazepine receptor complex has to be stimulated to produce the anxiolytic effect.

Mediterranean journal of pharmacy and pharmaceutical sciences

Pneumonia is an acute pulmonary infection that can be caused by bacteria, viruses, or fungi. It infects the lungs, causing inflammation of the air sacs and pleural effusion: a condition in which the lung is filled with fluid. The diagnosis of pneumonia is tasking as it requires a review of Chest X-ray (CXR) by specialists, laboratory tests, vital signs, and clinical history. Utilizing CXR is an important pneumonia diagnostic method for the evaluation of the airways, pulmonary parenchyma, and vessels, chest walls among others. It can also be used to show changes in the lungs caused by pneumonia. This study aims to employ transfer learning, and ensemble approach to help in the detection of viral pneumonia in chest radiographs. The transfer learning model used was Inception network, ResNet-50, and InceptionResNetv2. With the help of our research, we were able to show how well the ensemble technique, which uses InceptionResNetv2 and the utilization of the Non-local Means Denoising algorithm, works. By utilizing these techniques, we have significantly increased the accuracy of pneumonia classification, opening the door for better diagnostic abilities and patient care. For objective labeling, we obtained a selection of patient chest X-ray images. In this work, the model was assessed using state-of-the-art metrics such as accuracy, sensitivity, and specificity. From the statistical analysis and scikit learn python analysis, the accuracy of the ResNet-50 model was 84%, the accuracy of the inception model was 91% and lastly, the accuracy of the InceptionResNetv2 model was 96%.

Dr. chandrashekhar uppin

Mobile Ad-hoc Network (MANET) owing to their very open characteristics are being very attractive and adaptive. With the openness comes security issues to be dealt. The most usual attack in mobile ad-hoc network is the black-hole attack. It advertises false path as shortest and newest to the destined node. On gathering packets containing data will drop them and does not send it to the destination. This paper proposes an algorithm to overcome such an attack under Ad-hoc On-demand Distance Vector (AODV) routing protocol in MANETs. The proposal aims to detect and avoid black-hole attack by using the parameters of AODV routing protocol in its enhanced form of route recovery. The proposed algorithm has two different scenarios, where first comes the detection then the avoidance. The simulation results are obtained from NS -2 to authenticate the effectiveness of proposed technique in comparison with the existing protocols in the existence of black-hole attack with respect to change in simulation end time and active number of attackers. The implementation is assessed based on delay, delivery ratio, drop, overhead, throughput and packet forwarding ratio. The results obtained from network simulator are mapped to form a dataset, which is then validated on a modelled fuzzy inference system using MatLab software.

Fahmina taranum

Plants produce a diverse range of bioactive compounds making them a rich source of different types of medicines. Ornamental plants are cultivated for adornment and to enhance the appearance of houses and also for commercial purposes. However, only very few of these ornamental plant species have found to be used in medicine and only little literature exit on their chemical and biological actions. In the present study, the evaluation of antimicrobial activities and identification of bioactive compounds using TLC and GC-MS of the A. columnaris bark extract were performed. In GC-MS bioactive compounds with medicinal value were identified, such as Benzoic acid, 1H-N-Hydroxynaphth (2,3) imidazole-6,7-dicarboximide, 2-Propenoic acid, 3-(4-methoxyphenyl), 1H-N-Hydroxynaphth (2,3-d) imidazole-6,7-dicarboximi. To prove the nontoxic nature of the plant, its crude bark extract was subjected to toxicity study using human embryonic kidney cell line. It reveal that the plant is minimal toxic to the human kidney cell line so usage of appropriate level will found to be safe and also carrying out some structural modification will help in the extraction of new drugs for pharmaceutical purpose.

Dr. saranya devi k

In the last decade, we have observed the usage of artificial intelligence algorithms and machine learning models in industry, education, healthcare, entertainment, and several other areas. In this paper, we focus on using machine learning algorithms in the loan approval process of financial institutions. First, we briefly review some prior research papers that dealt with loan approval predictions using machine learning models. Next, we analyze the loan approval prediction dataset we downloaded from Kaggle, which was used in this paper to compare several machine learning classification models. During this analysis, we observed that credit scores and loan terms are the attributes that probably most affect the result. Next, we divided the dataset into a training set (80%) and a test set (20%). We trained 27 various machine learning models in MATLAB. Three models were optimized with Bayesian optimization to find the best hyperparameters with minimum error. We used 5-fold cross-validation for the validations to prevent overfitting during the training. In the following step, we used the test set on trained models to measure the models’ accuracy on unseen data. The result showed that the best accuracy both on validation and test data, more than 98%, was reached with neural networks and ensemble classification models.

Ladislav végh

Digital data is growing enormously as the year passes and therefore there is a need of mechanism to protect the digital contents. Image watermarking is one of the important tools for the human to provide copyright protection and authorship. For achieving the ideal balance between imperceptibility and robustness, a robust blind color image watermarking employing deep artificial neural networks (DANN), LWT and the YIQ color model has been presented. In the suggested watermarking method, an original 512-bit watermark is applied for testing and a randomly generated watermark of the same length is used for training. PCA is used to extract 10 statistical features with significant values out of 18 statistical features, and binary classification is used to extract watermarks here. For the four images Lena, Peppers, Mandril, and Jet, it displays an average imperceptibility of 52.48 dB. For the threshold value of 0.3, it does an excellent job of achieving good balance between robustness and imperceptibility. Except for the gaussian noise, rotation, and average filtering attacks, it also demonstrates good robustness against common image attacks. The results of the experiment demonstrate that the suggested watermarking method outperforms competing methods.

Manoj kumar pandey

Background: Preterm birth remains a leading cause of neonatal morbidity and mortality worldwide. Identifying its risk factors is essential for developing targeted interventions to improve maternal and neonatal health. This study investigated the sociodemographic, obstetric, medical, and lifestyle risk factors associated with preterm birth among women who delivered at Abia State University Teaching Hospital (ABSUTH), Aba, Southeast Nigeria. Methods: A hospital-based case-control study was conducted at ABSUTH. The study population comprised all the women who gave birth at the facility who met the criteria. Data were collected through structured interviewer-administered questionnaires and medical record reviews. Key variables included maternal age, education level, socioeconomic status, obstetric history, medical conditions, lifestyle factors, and antenatal care utilization. Descriptive statistics, chi-square tests, t-tests, and logistic regression were performed using SPSS version 25, with statistical significance set at p < 0.05. Results: A total of 9125 deliveries were recorded during the period of this study, including 1,962 cases (preterm births, <37 weeks gestation) and 7,163 controls (term births, ≥37 weeks gestation). Chi-square analysis showed significant associations between preterm birth and maternal age (p < 0.05), low education level (p < 0.001), low socioeconomic status (p = 0.0351), previous preterm birth (p < 0.001), short pregnancy interval (p < 0.001), hypertension (p < 0.001), diabetes (p < 0.001), infections (p < 0.001), smoking (p < 0.001), alcohol consumption (p < 0.001), and inadequate antenatal visits (p < 0.001). Logistic regression confirmed that hypertension, diabetes, infections, previous preterm birth, and inadequate antenatal visits were independent predictors of preterm birth. Conclusion: The findings highlight the multifactorial nature of preterm birth, with medical conditions, lifestyle behaviors, and inadequate antenatal care playing crucial roles. Early identification and management of these risk factors through improved maternal health services and health education may reduce the burden of preterm birth in the study setting.

Karishma

Small, medium and micro enterprises (SMMEs) represent a vital element in our economy in terms of addressing unemployment and the gross domestic product (GDP) of our country. Improving the success rate of SMMEs would save a lot of financial resources, thus understanding the financing options that complement success at different phases of the business is very important. This research sought to examine the extent to which the financing options chosen by entrepreneurs will have an impact on business success. The investigators adopted the progression of the ventures along the business life cycle stages as a benchmark for assessing success. The study focused primarily on SMMEs in the Eastern Cape Information Communication Technologies (ICT) sector. Data was obtained using an online survey which reached 50 small business owners/ business representative within the ICT sector in the Eastern Cape Province. The research study showed the role that internal financing options, such as personal savings, family, relatives and friends' financing, retained earnings, sale of existing assets and cutting down stock levels, play in the achievement of ICT SMME success. Moreover, examined external financing options such as Broad-Based Black Economic empowerment (B-BBEE) financing, bank loans, equity financing, government grants, trade credit, to SMME success. Key results revealed that the financial support of B-BBEE and personal savings have played a key role in the success of ICT SMMEs throughout the business life cycle phases. This occurs after an ICT SMME has advanced successfully over the start-up stage and aims for success in the development phase. The finding revealed that for these SMMEs to attain success at the development stage, they should finance their business investment projects utilising credit trade, bank loans, families, relatives and friends. The abovementioned financing options are only substantially linked to good advancement from the development phase onto the expansion phase. Also, suggestions have been made to the ICT SMME management to include B-BBEE finance, personal savings, bank loans, families, relatives and friends and trade credit as suitable funding choices for the ICT SMME's life cycle

Luyolo mahlangabeza

Kegiatan keagamaan merupakan kegiatan yang amat penting di MI Negeri 3 Jember, mengingat masih banyak peserta didik yang membutuhkan bimbingan guru untuk memiliki karakter yang sesuai dengan tuntunan Islam, di zaman teknologi initidak bisa dipungkiri bahwa anak-anak zaman sekarang sudah mengenal yang namanya internet. Maka dari itu pendampingan orang tua dan guru sangat dibutuhkan dalam perkembangan anak-anaknya. Salah satu pendidikan yang diajarkan guru kepada peserta didiknya sejak dini adalah pengajaran tentang al-Qur’an.Oleh karena itu darus keliling (darling) merupakan kegiatan yang tepat dalam proses membelajarkan al-Qur’an dalam rangka menanamkan karakter religius kepada peserta didik. Fokus penelitian yang dikaji adalah: Bagaimana peran guru sebagai pembimbing dalam menanamkan karakter religius peserta didik melalui kegitan ekstrakurikuler darus keliling (darling) di MI Negeri 3 Jember tahun 2019? Penelitian ini memperoleh kesimpulan: Peran guru sebagai pembimbing dalam menanamkan karakter religius peserta didik melalui kegiatan ekstrakurikuler darus keliling di MI Negeri 3 Jember dalam hal ini adalah guru yang senantiasa membimbing anak-anak anggota darling untuk belajar al-Qur’an. Darling ini adalah sebuah wadah yang diberikan oleh guru untuk mengembangkan potensi peserta didik. Karakter religius pun terbentuk yakni sikap patuh dalam menjalankan agama Islam, misalnya membaca al-Qur’an. keliling di MI Negeri 3 Jember dalam hal ini menggunakan instrumen penilaian yang memiliki 3 aspekpenilaian yakni aktif, kurang aktif dan tidak aktif.

Educare: journal of primary education

Community pharmacist plays an essential role in educating the epileptic patients about their disease and medications. Improving the patient’s awareness may lead to improve their compliance and decrease drug-drug interaction and ultimately improve their quality of life. Pharmacist can detect the emergence of health problems and can help prevent progression of comorbidities. Considering the complexity of treating epilepsy and the lack of information about pharmacists’ contributions to epilepsy management, pharmacist performed pharmaceutical counselling, pharmaco-therapeutic follow-up and systematic measurement and evaluation of findings and increase medication adherence of patient with epilepsy. This study was aimed to assess the community pharmacist's knowledge about epilepsy and their treatment by antiepileptic drugs in Libya. The design of the study is a cross sectional study. The knowledge was collected through a questionnaire which included 35 questions divided into three sections: demographic data, general information about epilepsy and information about epilepsy and antiepileptic drugs. The questionnaire was prepared and validated by consultant training in Ali Omer Asker Hospital in Tripoli for two months. The findings indicate that over 200 patients are altered viewed, of whom, only epileptic patients were observed. The majority of the participants were female, qualification degree BSc and years of experience from one to five years. Unfortunately, some of the participants (40.0%) had poor knowledge and about 60.0% of them had good knowledge. This study indicates that the importance of community pharmacist in Libya requires more improvement to achieve the existing function and that the impact of continuous study of everything related to diseases and medicines is important to obtain a qualified pharmacist who can become an effective agent for a change.

Mediterranean journal of pharmacy and pharmaceutical sciences

The kidney stones are one of the most widely spreading disorders in the world. The present study was undertaken to evaluate the efficacy of ethanolic extract of Didymocarpuspedicellata and Ashwagandha for its antiurolithiatic activity in rats. Urolithiasis was induced in adult male albino wistar rats by 0.75% of ethylene glycol for 28 days. The effect of the oral administration of the ethanolicextracts has been studied and is compared with the effect of oral administration of Cystone(Himalaya) as a standard on Wistar rat. Ethylene glycol feeding resulted in hyperoxaluria as well as increased renal excretion of calciumand phosphate. Supplementation with ethanolic extract of the plants significantly reduced the elevated urinary oxalate, showing a regulatory action on endogenous oxalate synthesis. Both the plant extract showed significant antiurolithiatic activity

Zeenath banu

Background: The significance of healthcare wastes (HCWs) consists in their hazardous component, which constitutes real danger to public health. In Nigeria, healthcare waste management (HCWM) has remained a problem yet to be properly recognized and so addressed. The study aimed to sensitise health workers and the public on the need for proper management of HCWs, considering the public health implications of not doing so. Methods: The waste management systems of ten healthcare facilities (HCFs) were assessed, using a modification of the WHO rapid assessment tool. In each HCF, segregated wastes were collected daily for ten days and quantified by weighing, using a spring balance. Results: Administratively, the HCWM system was poor in the ten HCFs (40.6%). 70% of them had satisfactory waste segregation, 81%, good waste treatment, and 26.7% adequate transportation methods for waste. None of the HCFs had budget allocation for HCWM, and 90% had inadequate storage facilities. Mean waste generation was 1.81 kg/day, 0.23 kg/patient/day, 0.16 kg/bed/day, and proportion of infectious wastes 16.8%. Correlation between the number of patients and proportion of infectious waste, was positive, strong and significant (r=0.80, p=0.01), and between bed occupancy rate and proportion of infectious waste, was positive too, but weak, and insignificant (r=0.34, p=0.34). Conclusions: In view of the identified weaknesses of the ten HCFs in HCWM, budget allocations for HCWM, improving waste storage facilities and transportation, with strengthening of waste segregation, collection, and treatment, would help to ensure adequate HCWM in the HCFs.

Emmanuel umegbolu