Background and Objectives: The outpatient department (OPD) pharmacy is a section of the hospital pharmacy that helps patients obtain their prescribed medications. However, on-time delivery of medications and patients’ convenient access to the pharmacy are the hallmarks of a well-designed health-care system. Therefore, he aim of this study was to develop a pharmacy triage tool to improve patient flow and reduce waiting time in the fourth-floor pharmacy at Hamad General Hospital (HGH). Methods: This prospective and observational study was conducted on 14,740 patients who attended the OPD pharmacy (HGH, Qatar) between January 15, 2022 and March 15, 2022. This prospective and observational study consisted of three periods: A root cause analysis, a pre-intervention period of 1 month (January 15, 2021–February 14, 2021) and an intervention period of 1 month (15 February–15 March). We developed a pharmacy triage tool to improve patient flow and reduce waiting time by identifying patients who need their medications to be dispensed, as well as classifying patients to get the right patient to the right place and implementing a patient flow system to improve efficiency spends in pharmacy queues. Results: The results of this study showed that the use of the triage system in the pharmacy reduced the average waiting time of patients from 50 min to 15 min. The results were statistically significant at p<0.0001. Conclusion: We concluded that applying the pharmacy triage tool improved quality of services in health-care systems and decreased waiting time in the OPD pharmacy. The pharmacy triage tool is a new approach to enhancing the quality of healthcare and leads to an increase in the efficiency of OPD pharmacies.

Karishma

The study focuses on Library and Information Science (LIS) education in India. In India, traditional libraries and digital libraries currently coexist. India's LIS curriculum is still not adapting to the new positions. Students have not gained the crucial information technology-related knowledge and abilities from library institutions. Because of their expertise, Library and Information Science (LIS) professionals serve as a conduit between readers and information resources. The library follows the laws and regulations within the profession when acquiring and processing resources. Furthermore, there are drawbacks to these norms and restrictions. They are learned in the academic setting, where they are taught how to manage library information resources so that patrons can access them with ease. Cataloging, classification, indexing, inquiry work, user education training, facilitating, and assessment skills are among the fundamental abilities typically linked to library and information science. Depending on their library area, an information professional may have a range of these skills. Information technology skills, including word processing and spreadsheets, digitization, and internet search capabilities, as well as proficiency with loan systems, computer databases, managing content, and specially created programs and packages, are some crucial cross-sector competencies that are changing in the twenty-first century. Additionally, there are soft skills like time management, negotiation, and dispute resolution that are applicable to all encounters at work. Because of this, learners from LIS programs are not very competitive in the information industry. The paper talks about the difficulties of teaching LIS in India. It addresses the cooperation & resource sharing between institutions of librarianship as well as educating LIS professionals for managerial and leadership positions to promote India's economic and national development. Additionally, it covers job opportunities for LIS professionals, the abilities required, the influence of LIS education on graduates' work and careers, the recent emphasis on e-learning in LIS courses in India, and the ongoing professional growth of LIS professionals. It is essential for librarians to have the skills required to operate in a specialized job in the cutting-edge era of information technological advances, when client needs and equipment are changing quickly. Library and Information Science (LIS) education should therefore include contemporary information processing abilities to ensure the profession remains valid in the rapidly evolving 21st century.

Dr. awadhesh singh gautam

Wilsons disease is a rare inherited disorder which is characterized by impaired copper excretion which leads to excessive deposition of copper in many tissues and organs like brain, liver, and eye. This is also characterized by Kaiser-Fleischer ring, low serum ceruloplasmin levels and elevated urinary copper excretion [1]. A 26year male patient came to the neurology department with chief complaints of involuntary tremors of both hands and difficulty in walking in the last one month associated with swaying to one side in the last 20 days. On examination the patient is having Kaiser-Fleisher ring positive and upon further investigation Magnetic resonance imaging brain was performed which revealed the features in favor of Wilson’s disease. And for this condition the patient is treated with chelating agents and benzodiazepines. Key words: Wilson’s Disease, Kaiser- Fleisher ring, Chelating agents

Dr venkata rama rao nallani

Identifying the targets for improving antimicrobial prescription and development of antimicrobial stewardship interventions can better serve to combat the situation of antimicrobial resistance. The primary objective was to determine the prevalence of antimicrobial use at tertiary care teaching hospital with both acute and long-term care patients. A periodical point prevalence survey was done in a tertiary care hospital of South India during 2019 using manual and webbased GLOBAL-PPS tool. Of 945 patients eligible for the study, 645 (69.5 %) received at least one antibiotic, with highest rates in the adult surgical ward and pediatrics. Of 645 therapeutic antibiotic prescriptions, 58.6% prescriptions have an infectious indication of them, 62.6% are community-acquired infections. Third-generation cephalosporins were the most prescribed antibiotics. The prevalence of antibiotic use is very high, and our study evidence that the country needs a robust antimicrobial stewardship intervention program.

Vineela chadalavada

Dans toute société, l’homme nait, grandit et meurt. Ces étapes marquant la vie de l’être humain sont des passages obligés dans le parcours existentiel de tout être vivant. Si le premier et le deuxième éléments sont des moments de réjouissance pour les parents, les amis et la famille, le troisième par contre attriste, alite et est parfois source de discorde et de séparation des membres d’une même communauté. A la mort d’un parent, des soutiens de toutes natures viennent de toute part. Ces soutiens sont la manifestation de la solidarité au sein de nos communautés. Des chansons sont scandées avant, au cours et après l’inhumation. Comme on le constate dans plusieurs communautés linguistiques, ces chansons funéraires assument, dans la société, des fonctions diverses. Cette étude qui analyse quelques chansons aussi bien sur le plan social que linguistique, vise à montrer la valeur de la chanson et le sens qu’elle véhicule dans la communauté ajatado prenant en compte le Bénin, le Togo, le Ghana et le Nigéria sans oublier ses différentes fonctions dans la société.

Assanvo

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.

Jiby mariya jose

The Atlas of Shear Zone Structures in Meso-Scale illustrates the morphological characteristics of shear zones within the Himalayas that have been gathered by the author’s intensive field observations over the last decade. The book deals with various shear zone-related structures, produced in brittle and/or ductile regimes. The shear sense indicators and associated microstructures are also described.

Rajkumar ghosh

Cryopreservation is a process that preserves intact living cells, tissues or any other biological constructs by cooling and storing the samples to very low temperatures in order to maintain their viability and to save them for future use. At very low temperatures, enzymatic and chemical activities that may cause harm to the biological material are effectively stopped. Cryopreservation methods look to reach very low temperatures without causing further harm caused by the creation of ice crystals during freezing. Cryopreservation human samples for storage including variety of diseases such as cancer, genetic and degenerative disorders and bio-banking. This review aims to describe and highlight dimethyl sulfoxide in cryopreservation. Dimethyl sulfoxide is a non-toxic solvent and is one of the most commonly used pharmaceutical agent with a varied range of pharmacological actions including membrane penetration, anti-inflammatory effects and local analgesia as well as weak bacteriostatic. The main use of dimethyl sulfoxide is a vehicle for some drugs to enhancing the action of the drug and helping penetration of other drugs into the skin. However, dimethyl sulfoxide has been the cryopreservative agent of choice in situation to its exceptional performance in mitigating freezing-related damages. It is frequently used in cell banking applications as a cryoprotectant. When added to media, it prevents intracellular and extracellular crystals from forming in cells during the freezing process. There has been a concern over the toxicity of dimethyl sulfoxide and its potential side effects in different highly concentration after administration to patients. Therefore, there has been growing demand for robust dimethyl sulfoxide for cryopreservation method that can improve safety and maintain potency and efficacy

Mediterranean journal of pharmacy and pharmaceutical sciences

Background: Gestational hypertension (GHTN) is defined as a new rise in blood pressure (BP) ≥140/90 mm Hg, presenting at 20 weeks gestation without significant proteinuria. Worldwide, 4.4%-15% of all pregnancies are complicated by HTN. The aim of this study was to determine the incidence of GHTN among pregnant women in Enugu State, Southeast Nigeria with a view to improving and strengthening antenatal services in the State to help reduce the proportion of maternal mortality and fetal outcomes attributable to GHTN and reduce the overall prevalence of HTN in the country. Methods: Records of BP, biodata and laboratory investigations (urinalysis, full blood count) of women who attended antenatal clinics in six selected state hospitals (2006-2015) were examined. Data were analyzed as proportions, t-test, ANOVA and Pearson product moment correlations using Maxstat (version 3.60) statistical software. Results: The overall incidence of GHTN was 5.9% with annual fluctuations with peaks in 2010 and 2014. There were significant differences in incidence among the age groups (<20>35 years) (p<0 p=0.0016).>35 years) and GHTN (r=0.932, p=0.0069). Between parity and GHTN, there was also positive, strong and significant correlation (r=0.813, p=0.0491). Conclusions: With an incidence of GHTN at 5.9%, there is need to improve and sustain adequate antenatal services in order to help reduce the proportion of the country’s maternal mortality attributable to hypertensive disorders of pregnancy.

Emmanuel umegbolu

The problem of chemical fertilizers and pesticides can be solved by the action of plant growth promoting fungi (PGPF). The indigenous fungal isolates obtained from the rhizosphere soil can be used as they are said to solubilize the insoluble zinc, phosphorous, potassium etc. They are known to control the different fungal pathogens and thus promoting the plant growth and health. In the present study, attempt was made to isolate soil beneficial fungi from the rhizosphere soil samples of important medicinal plants such as Aegle marmelos, Azardirachta indica and Citrus limon. A total of 22 fungal isolates was isolated and screened for their efficacy on phosphate and zinc solubilization and antagonistic potential against selected plant pathogenic fungi under in vitro condition and the isolates were identified up to species level.

Dr. saranya devi k

The need for renewable energy sources in addressing global energy demands is growing, especially in Nigeria where electricity demand often exceeds supply. Solar photovoltaic (PV) systems have become a viable solution, with federal universities in Nigeria, as major electricity consumers, recognizing their potential. However, determining the right size of PV systems for individual faculties within these universities is a complex task. This study attempted to simplify this process by introducing an innovative approach to size PV systems in these faculties. The research method used the Extended Kalman Artificial Neural Network (EKF-ANN) and the Crow Search Algorithm (CSA) to enhance the accuracy of PV system sizing. Data was collected on the study site, load demand, weather conditions, system components, and operational control and systems models to establish sizing criteria. The study focused on the optimal size of a solar PV system at the Faculty of Law building, University of Port-Harcourt, and how to improve its accuracy. The results showed that using global solar insolation parameters, EKF-ANN predicted values for global temperature, flock size, and maximal iteration. This optimized system could generate surplus power for effective grid supply. The study found that the optimal size of the series-connected panels for the Faculty of Law building was 96, 83, 73, and 65 units, with corresponding insolation values ranging from 3.737 to 4.368 kW/m2. It was concluded that the combination of CSA and EKF-ANN in solar PV sizing is suitable for achieving optimal outcomes for energy storage and grid supply. Nonetheless, the study recommended additional investigation into real-time and grid-connected solutions to enhance the proposed approach's effectiveness.

Fxintegrity publishing

The use of spectroscopic analysis, particularly UV spectrophotometer, is a simple and essential technique for bulk drug estimation, formulation studies, and compatibility assessments of drugs with various excipients. In the pharmaceutical industry, various analytical instruments, including Fourier transform infrared spectroscopy (FTIR), are employed for investigating drug-excipient interactions that can impact the stability of active pharmaceutical ingredients. This study aimed to develop a UV spectrophotometric method for the analysis of Pioglitazone hydrochloride in phosphate buffer (pH 7.4) and methanolic solution, assessing its linearity and compliance with Beer's Law. Furthermore, we aimed to use FTIR to characterize potential interactions between Pioglitazone and common pharmaceutical excipients, such as Guar Gum, Chitosan, and Sodium Alginate. Standard solutions of Pioglitazone were prepared in phosphate buffer (pH 7.4) and methanol. UV spectrophotometer was conducted to determine the maximum absorption wavelength. Calibration curves were constructed to evaluate linearity and adherence to Beer's Law. FTIR analyses were performed to investigate drug-excipient interactions by examining the functional groups. In phosphate buffer (pH 7.4), the maximum absorption wavelength for Pioglitazone hydrochloride was 268 nm. The calibration curve for Pioglitazone in phosphate buffer (pH 7.4) demonstrated linearity in the concentration range of 1–20 μg/ml, with a correlation coefficient of 0.998. In methanol, the maximum absorption wavelength for Pioglitazone hydrochloride was found to be 272 nm. The calibration curve in methanol exhibited linearity in the range of 1–20 μg/ml, with a correlation coefficient of 0.999. FTIR analysis revealed potential drug-excipient interactions, particularly in the case of Guar Gum, Chitosan, and Sodium Alginate, suggesting the formation of stable hydrogen bonds. The developed UV spectrophotometric method for Pioglitazone analysis is a reliable, cost- effective, and reproducible approach, making it a valuable tool for drug development and quality control. Additionally, the FTIR characterization confirmed interactions between Pioglitazone and common pharmaceutical excipients, enhancing our understanding of formulation compatibility,

Archana mehrotra

Hybanthus enneaspermus, traditionally used as an aphrodisiac was investigated for its potential to reverse antidepressant-induced sexual dysfunction in female rats. The aqueous extract was evaluated for secondary metabolite, amino acid and mineral constituents. Alkaloids, tannins, flavonoids, anthraquinones, steroids, terpenoids, phenolics, calcium, potassium, sodium, glutamine and leucine are some of its notable constituents. 60 healthy, sexually responsive female albino rats (144.7±5.9 gm) were divided into six groups (A-F) of 10 rats each; of which 50 were induced into sexual dysfunction. Rats in group A were administered distilled water throughout the experimental period and served as a control group, while rats induced into sexual dysfunction (Groups B-F) by fluoxetine were given water, the reference medication (Tadalafil) and oral doses of the extract (250, 500, and 1000 mg/kg body weight) once daily for seven days, respectively. When administered to sexually active rats, fluoxetine significantly decreased the frequency of darting, hopping, lordosis, genital grooming, and licking behavior by 57.4%, 42.5%, 43.9%, 64.0%, and 41.8%, respectively. However, the latency of darting, hopping and lordosis were significantly increased by 50.6%, 47.7%, and 54.9%, respectively. Hybanthus enneaspermus aqueous extract administered at doses of 250, 500, and 1000 mg/kg significantly reversed fluoxetine-mediated changes in all sexual behavior parameters. The extract's ability to reverse the characteristics of sexual behavior at 1000 mg/kg was comparable to those of tadalafil-treated rats. Additionally, all the extract dosages reversed the levels of blood luteinizing hormone, follicle-stimulating hormone, progesterone, prolactin and estrogen after it has significantly been altered by fluoxetine. The results indicated that the aqueous extract of Hybanthus enneaspermus improved the proceptive, receptive and orientational behavior of rats. The extract also enhanced reproductive hormone concentration by restoring sexual competence in sexually-impaired female rats. The findings of this study provide further evidence in favor of Hybanthus enneaspermus widespread usage in the management of female sexual dysfunction.

Mediterranean journal of pharmacy and pharmaceutical sciences

Fungal infection of the nails (onychomycosis) is a common condition that is hard to cure. The fungus hidden in the nail is difficult to treat with antifungal medications, and infected nails take months to heal. Antifungal nail polish can occasionally be used to treat mild cases, but blood-stream-permeable medications are required to treat more serious infections. We need something better because even these are not always successful and can have negative side effects like skin rash or liver issues. Additionally, onycholysis (the separation of the nail plate) creates a moist environment that can encourage the growth of fungi. Moreover, immunosuppressive medication use may worsen onychomycosis. In this example, the diseased entity's clinical presentation in an adult patient was described.

Mediterranean journal of pharmacy and pharmaceutical sciences

Object: The main purpose of the research is to develop modern tools for insurance management in the global economic crisis, to make an objective assessment based on a critical analysis of existing ones, to identify situations that could lead to international economic, social, and natural threats. It is made some recommendations for the development of insurance calculations for the republic of Uzbekistan. Methods: Methods for reforming modern calculation of insurance tariffication are recommended by means of theories of probabilities, statistical and mathematical analysis, and foreign advanced countries practical types of summarizing. Findings: While making an analysis, it has found that modern tools for the insurance management of Uzbekistan are needed. We proved this by the results of the modern calculation of insurance. For the development of the insurance market of Uzbekistan, it should be analyzed by means of penetration and density of insurance premiums, making the deepest calculation of risks of the economy of Uzbekistan, and using the main principles and formulas of the theory of probability. Conclusions: In the end, we can take some results, and give some recommendations such as using the tools of theories of probabilities can help us find the main risks of economy, it’s powers of influences of the market economy, statistical and mathematical analysis also add some practical, objective results for making under control of any types of insurance risks

Ikboljon odashev mashrabjonovich

Vitamin C causes a significant change in pharmacological effects of some drugs which may lead to unpredictable responses. Vitamin C-haloperidol interaction has not been confirmed in vivo. This study was aimed to investigate the influence of vitamin C on some pharmacological effects of haloperidol (extrapyramidal side effects caused by the antipsychotic haloperidol). Albino male mice (n = 24, body weight of 20 - 40 gm) were divided into four groups and each of consists of six mice. Group I (control): given 1% Tween 80 solution, group II: given vitamin C in a dose of 100 mg/kg, group III: given haloperidol (2 mg/kg), while group IV: given a combination of vitamin C and haloperidol. All the treatments were given by intraperitoneal route of administration. Three sub-acute doses of different treatments were given at 24:0, 5:0, 1:0 hour before scoring. Parameters scored were catalepsy, ptosis, rigidity and akinesia. The experiment was repeated using vitamin C in a dose of 500 mg/kg. Both doses of 100 and 500 mg/kg of vitamin C significantly antagonized the effect of haloperidol by decreasing all the tested parameters. The results indicate that vitamin C decreases extrapyramidal side effects caused by the antipsychotic haloperidol and show that it successfully decreases catalepsy, ptosis, rigidity and akinesia in mice.

Mediterranean journal of pharmacy and pharmaceutical sciences

NIRS is an advanced, fast, reliable, and non-destructive technique that is extensively used in the chemical, food, petrochemical, and pharmaceutical industries for rapid and reliable standardization. NIRS of Cicer arietinum L. Desi and Kabuli variety seed flours were performed to evaluate secondary metabolites qualitatively. The principal suggested compounds in Cicer arietinum Desi and Kabuli variety were found as adenine, biochanin-A, biochanin-B, biochanin A 7-O- β -D-glucoside, calycosin, cerebroside, choline, ciceritol, citric acid, daidzein, fructose, garbanzol, genistein, glucose, inositol, isoliquiritigen, liquiritigenin, methyl tetracosanoate, ononin, pyrimidine, saccharose, sissotrin, stigmasterol, trifolirhizin. β- amyrin and β-sitosterol. These compounds' presence justifies using Cicer arietinum as a nutritional food and tonic.

Dr. salman ahmed

This proposed work is used to optimize the costs of exceptional elements of machine cells for a variety of components in changing environments to have reduced material movements in cell layout. The exceptional ele¬ments are eliminated in the optimization model by doing machine duplication and part subcontract. Then the shop floor layout is designed to have optimized material movements between cells and within a cell. The result of a linear programming optimization model is cost savings, machines duplicated, parts subcon¬tracted, inter intracellular movements. Finally, the output of the inbound facility design is the floor layout which has machine cell clusters with optimized floor areas. The optimization model is provided with budg¬etary constraints for duplication and the economic tradeoff between machine duplication and part subcontract. Cell layout is prepared to reveal the saving in floor area and material movement lengths than in process layout with the help of distance matrix and dimensions of cells.

S ramesh

This paper explores the topic of supply chain management using case studies of companies from the automotive industry. Focus is given to the manner in which supply chain strategies in the automotive industry are designed and implemented, and how automotive companies configure their supply chains through collaboration, lean principles and agility. The paper also explores how advanced technologies, notably Big Data analytics and the Internet of Things, are utilised in the automotive industry to maintain a competitive advantage. Key findings made in the discussion are that success in supply chain management is greatly enhanced if firms seek to integrate the different components making up the supply chain. Additionally, the collaboration between entities fosters trust, which is a vital ingredient in the application of lean principles. The automotive industry shows that companies should pursue flexibility and efficiency, which are captured in the notions of agility and leanness, respectively. The paper identifies collaboration and advanced technologies as two critical sources of sustainable competitive advantages to organisations primarily in reference to supply chain management.

Mohamed sorogy

Adherence to pharmacological therapies are keys to effective treatments in diabetic patients. Previous reviews found that most adherence measurement studies on chronic diseases used a self-reported scale. However, there is no consensus on the best scale to measure adherence in diabetic patients. The purpose of this systematic review was to identify the potential self-reported scale that could be considered for measuring medication adherence in diabetic patients and to provide recommendations for researchers or clinicians to determine appropriate adherence self-reported scales in diabetic patients. This review follows general guidelines in the implementation of systematic reviews. After further review, it was found that 33 studies met all inclusion criteria from 4 databases (Wiley, Science Direct, Scopus, and PubMed). The articles were done by the PRISMA, while the keywords were determined by the PICO method. Most research was conducted in Asia (69.7%) and America (18.2%) on patients with type 2 diabetes (81.3%), patients in hospitals (54.5%), suffering for 1–6 months (54.5%), and using a cross-sectional study design (78.8%). HbA1c clinic data (57.6%) were used in most studies as biological markers of adherence. The measurement scales of medication adherence in diabetic patients are MMAS-8 (57,.5%), MMAS-4 (12.1%), BMQ (9%), MCQ (6%), ARMS (3%), ARMS-D (3%), GMAS (3%), LMAS-14 (3%), and MARS-5 (3%). This review provides information on the different self-reported scales most widely used in diabetic medication adherence research. Various aspects need to be considered before choosing the scale of adherence.

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