Human resource management (HRM) is the process of employing people, training them, compensating them, developing policies relating to them, and developing strategies to retain them. As a field, HRM has undergone many changes over the last twenty years, giving it an even more important role in today's organizations

Zamzam abdelazim

It is with more sorrow and tremendous sadness we remember the death of our colleague the Libyan pharmacist, professor Mokhtar Ramadan Haman, at his home in Tripoli, Libya after long-suffering from brain cancer. He died on 02, February 2017 and his immaculate corpse was buried on the following day at the Souk-Al-Ahad cemetery, Bin Ghashir Palace. Professor Haman, was born in Tripoli, Libya, on January 1, 1957. He obtained his Bachelor of Pharmaceutical Sciences in 1981 at the University of Tripoli and his Ph.D. in Pharmacognosy in 1989 at Cardiff University, UK.

Mediterranean journal of pharmacy and pharmaceutical sciences

The Nano-bio fusion is a booming area with high expectations that major steps in health treatment, body repair and body improvement can be made. It is regarded as the most innovative domain of this moment. Developments are in the field of: Nanomedicine: targeted drug delivery by medically functionalized nanoparticles, for rapid cure without side effects or human stimulation. Regenerative medicine: DNA programmed tissue engineering for quick and efficient wound healing, rebuilt of organs and other body parts. Smart implants: biocompatible implants that can sense and actuate in order to repair or enhance a body function. Nanotechnology idea has as of late gone into the exercises of day by day living. Nanotechnology in games solution cals be characterized as the adjustment of a wide range of improvements in nanoscale into therapeutic applications related with games wounds. The adjusted advancements can be either specifically related with the restorative mediations, for example, recovery of a tissue, implantation, and drug treatments or supporting components like imaging, strappings, and tapings. In this section, the impression of recently developed nanoscale advancements in regards to games wounds will be talked about with recent researches.

Yatendra sharma

The dominant sequence transduction models are based on complex recurrent or convolutional neural networks that include an encoder and a decoder. The best-performing models also connect the encoder and decoder through an attention mechanism. We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. Experiments on two machine translation tasks show these models to be superior in quality while being more parallelizable and requiring significantly less time to train. Our model achieves 28.4 BLEU on the WMT 2014 Englishto-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. On the WMT 2014 English-to-French translation task, our model establishes a new single-model state-of-the-art BLEU score of 41.0 after training for 3.5 days on eight GPUs, a small fraction of the training costs of the best models from the literature.

Kamal singh

This study aims to explore the impact of Employee Service Innovation Behavior (ESIB) on New Service Development (NSD) among hotels’ employees. A research model was proposed in which one hypothesis was developed. The empirical data were collected from employees who are working in four- and five-star hotels in Jordan. A total of 332 questionnaires were returned and the data were analyzed using a single regression to determine the relationship between ESIB and NSD. The results supported the proposed model that there is a significant relationship between ESIB and NSD, and it also found that service innovation performance is exited in the hotel industry. The theoretical and managerial implications were drawn based on the study findings, and recommendations for future researchers were made, and limitations and conclusions are discussed.

Mukhles m. al-ababneh

Determinations of competency in adult criminal court have an extensive history, both procedurally and conceptually. Unlike criminal court, however, juvenile courts were designed for rehabilitation, rather than punishment, and, historically, the issue of competency was not often raised. Recently, however, as stakes for youth in juvenile court have begun to parallel those of defendants in criminal court, youths’ competence has become an important issue. The purpose of this study was to investigate whether defendants’ age and maturity affect judges’ ratings of juveniles’ adjudicative competence in juvenile and criminal court. Three hundred forty two criminal and juvenile court judges reviewed one forensic psychological report about a hypothetical defendant; only the age (12-17) and maturity level (less mature; more mature) of the defendant varied across reports. The judges then rated the juvenile’s adjudicative competence in both juvenile and criminal court, provided ratings of the individual competence components, rated their confidence in their decision, and rated the importance of various characteristics of the juvenile to their decisions. Judges also provided demographic information. Results revealed a main effect for age, with older juveniles generally deemed more competent, and a main effect for maturity, with more mature juveniles generally deemed more competent. There was no interaction between age and maturity. Results suggest that age and maturity play major roles in judicial determinations of juvenile competency

John dolores

The study examined psychological predictors and mediators of teacher subjective well-being. Participants included 174 teachers from urban middle and highschools. The first objective was to explore the psychological correlates of the teacher SWB: self-esteem, general self-efficacy (core self-evaluation), teacher self-efficacy, optimism (cognitive trait related to the psychological well-being), and perceived social support (psychosocial trait related to the psychological wellbeing. The second objective was to investigate the mediating role of self-efficacy in the association between optimism and subjective well-being. The third objective was to explore the mediating role of teacher self-efficacy in the relation between perceived social support and teacher subjective well-being. Correlation, linear regression and mediation model analyses through the Sobel test were computed. Results confirmed the research assumptions. The findings of this study enhance the understanding of personal factors associated with teacher subjective wellbeing. The constructs linked to subjective well-being (predictors and mediators) could be target of school psychologists’ interventions, in order to have more engaged and performing teachers in schools. The findings were discussed in the context of designing the interventions for enhancement of the subjective wellbeing among teachers.

Elena stănculescu

Social bots are computer programs created for automating general human activities like the generation of messages. The rise of bots in social network platforms has led to malicious activities such as content pollution like spammers or malware dissemination of misinformation. Most of the researchers focused on detecting bot accounts in social media platforms to avoid the damages done to the opinions of users. In this work, n-gram based approach is proposed for a bot or human detection. The content-based features of character n-grams and word n-grams are used. The character and word n-grams are successfully proved in various authorship analysis tasks to improve accuracy. A huge number of n-grams is identified after applying different pre-processing techniques. The high dimensionality of features is reduced by using a feature selection technique of the Relevant Discrimination Criterion. The text is represented as vectors by using a reduced set of features. Different term weight measures are used in the experiment to compute the weight of n-grams features in the document vector representation. Two classification algorithms, Support Vector Machine, and Random Forest are used to train the model using document vectors. The proposed approach was applied to the dataset provided in PAN 2019 competition bot detection task. The Random Forest classifier obtained the best accuracy of 0.9456 for bot/human detection.

Chandra sekhar sanaboina

Power and dominance exist everywhere and occur at the macro and micro levels. Being powerful and domineering are factors that serve as emblems for the people in the realm of politics. Power relations are overtly exercised in such discourse. But what is interesting is how power and dominance exist between or among those people who are branded as “powerful;” thus, using the Face Theory of Brown and Levinson (1978), this discourse analysis paper analyzed the power relations that transpired in a senate hearing and its relationship with the Face Threatening Acts (FTAs) used by the people involved in the discourse. A Philippine Senate hearing excerpt served as the primary corpus for analysis. Results showed that the people in the discourse were all powerful, creating tension when they projected their dominance on one another. Each member threatened and challenged their positive and negative faces. The power play evolved into a "pass-theball" effect, and no one has absolute power because it weakens once the person wielding its face is threatened. Hence, to disempower the empowered, a person must learn how to play and use FTAs such as insulting, disagreeing, disapproving, provoking, commanding, and demanding against the powerful to strike a social balance.

Darrel ocampo

Children's vaccinations play a significant role in public health efforts, particularly in reducing morbidity and mortality rates among children worldwide. However, challenges such as the accessibility of healthcare facilities, misinformation, and perceptions continue to affect the achievement of immunization goals in Tanzania and other developing countries. Based on the need to protect the community from diseases that can be prevented by vaccination, this study aimed to assess vaccination coverage and timeliness among children aged 12-23 months who attended postnatal immunization clinics in the Kongwa district located in the Dodoma region, Tanzania. A quantitative cross-sectional study was employed, involving 200 children who visited vaccination clinics along with their caregivers. Data were obtained through a questionnaire prepared and vaccination cards. This current study revealed that 96.0% were fully vaccinated, with 4.0% partially vaccinated, while no children were found to be totally unvaccinated. Timeliness varied across vaccines assed vaccines: 75.0% of Bacillus Calmette-Guérin vaccinated on time, four doses of Oral Polio Vaccine ranged from 74.0-87.0% of on time vaccination. Three doses of the Pentavalent Vaccine and Pneumococcal Conjugate Vaccine had on-time vaccination rates ranging from 79.5% to 86.0%. Two doses of the Rotavirus Vaccine reached on-time rates of 84.5% to 86.0%. 60.5% of people received the Measles and Rubella vaccine, with 35.5% experiencing delays and 4.0% remaining unvaccinated. This study revealed that, despite the national efforts to improve vaccination rates for children, issues such as delays and incomplete immunizations persist. Strategies like community engagement, continuous training for healthcare professionals, and improving healthcare accessibility in remote areas should be reinforced to improve vaccination uptake in Tanzania.

Mediterranean journal of pharmacy and pharmaceutical sciences

Introduction: Schizotypal personality represents genetic underpinning of schizophrenia spectrum disorders; hence, it provides conceptual models for understanding psychosis as well as a scheme for high-risk group identification. The study of structure of schizotypal personality is largely confined to western societies, whereas its assessment in varied socio-cultural groups is highly required. Aim: To study the factor structure of schizotypal personality in an Indian population. Materials and Methods: A sample of 492 college students (age, Mean= 21.3, SD= 2.61) filled the Hindi translated version of 74- items Schizotypal Personality Questionnaire (SPQ). Confirmatory Factor Analysis (CFA) technique was used to test the fitness (consonance of the modeled relationships, among latent and observed variables, in the sampled population) of different schizotypal personality models, that is, two-, three-, four-, bi-, and uni-factor models. The best-fit model was also studied for Measurement Invariance (MI) across gender groups. Results: Three, four, and bi-factor models adequately fitted the data. Whereas, four-factor model was the best good-fit model. It also showed partially strong MI across gender groups. The internal consistency of total SPQ was 0.90 and of subscales ranged from 0.62 to 0.78. Men scored higher on several schizotypal facets but lower on social anxiety as compared to women. Conclusion: The factor structure of schizotypal personality in India is similar to that reported elsewhere in the world. Thus, the present study supports the generalisation of schizotypal personality construct to the Indian people.

Sanjay kumar

Garcinia cambogia, commonly known as Asam Gelugur, has entrenched itself as a traditional herbal medicine, renowned for its applications in treating obesity and its integration into global nutraceutical formulations. The bioactive compounds within, particularly hydroxy citric acid, mediate various effects. This study aims to assess the in vitro cytotoxicity of Taxol, a cytotoxic drug used as a control, and the aqueous extract from Garcinia cambogia against the Vero cell line - a kidney-like cell. Cytotoxicity was evaluated using the 3-(4,5-dimetyl-2-2thiazolyl)-2, 5-diphenyl-2H-tetrazolium bromide (MTT) assay. The assay relies on mitochondrial succinate dehydrogenase's potential to reduce MTT, providing a colorimetric indication of cell viability. The results revealed an IC50 value exceeding 500 µg/mL for the aqueous extract from Garcinia cambogia significantly higher than Taxol's 0.0581 µg/mL. This higher IC50 value implies lower toxicity, positioning the Garcinia cambogia extract as a safe component in nutraceuticals and herbal supplements. The aqueous extract of Garcinia cambogia demonstrates low cytotoxicity, reinforcing its safety profile for use in nutraceuticals, which contributes valuable insights into the safety considerations of incorporating Garcinia cambogia into herbal supplements.

Mediterranean journal of pharmacy and pharmaceutical sciences

India is in the midst of a severe second wave of Covid-19. As per the Global Commission for Post-Pandemic Policy by mid-April of 2021, India had manufactured nearly 17 percent of all Covid-19 vaccine doses globally. It was the world’s fourth-largest producer, after China (about 36 percent), the United States (about 22 percent) and the European Union (more than 17 percent). Even so, following a shortage of vaccines and with insufficient local production, Government of India decided to import more foreign vaccines with quicker approval process for vaccines accepted in US/EU markets. India is currently using made-in-India vaccines, namely, Covishield manufactured by Serum Institute India and Covaxin of Bharat Biotech in its COVID-19 immunisation programme. The shortcoming in the production of vaccines and its dissemination within the country urges one to understand who the local producers are and how the market is playing out. This paper looks at the evolving market structure of vaccine production in India in the textbook framework of an oligopoly market. We use secondary data sources and daily newspaper briefs.

Nandini

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

Right of entry to finance, especially by the poor and susceptible groups, is an essential indispensable for employment, economic development, poverty mitigation and social up-liftment. Here lies the importance of financial inclusion. Financial inclusion or inclusive financing is the deliverance of financial services at affordable costs to sections of disadvantaged and low income segments of the society. The Government of India has taken a number of initiatives so that the banks can serve the poor in a hassle-free manner. With a view to spreading the services to poor and weak groups Andhra Bank plays a vital role in financial inclusion. Keeping this view, the authors have attempted to discuss the role of Andhra Bank towards Financial Inclusion as the main purpose of this paper. It also analyses the performance of the Andhra Bank in terms of its deposits, advances, income, expenditure, profitability etc..

Dr tatayya bommali

A major hallmark of Parkinson's disease is loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc). The pathophysiological mechanisms causing this relatively selective neurodegeneration are poorly understood, and thus experimental systems allowing to study dopaminergic neuron dysfunction are needed. Induced pluripotent stem cells (iPSCs) differentiated toward a dopaminergic neuronal phenotype offer a valuable source to generate human dopaminergic neurons. However, currently available protocols result in a highly variable yield of dopaminergic neurons depending on the source of hiPSCs. We have now developed a protocol based on HBA promoter-driven transient expression of transcription factors by means of adeno-associated viral (AAV) vectors, that allowed to generate very consistent numbers of dopaminergic neurons from four different human iPSC lines. We also demonstrate that AAV vectors expressing reporter genes from a neuron-specific hSyn1 promoter can serve as surrogate markers for maturation of hiPSC-derived dopaminergic neurons. Dopaminergic neurons differentiated by transcription factor expression showed aggravated neurodegeneration through α-synuclein overexpression, but were not sensitive to γ-synuclein overexpression, suggesting that these neurons are well suited to study neurodegeneration in the context of Parkinson’s disease.

Sameehan mahajani

A study of knowledge seeking behaviour of users is essential for evolving suitable guidelines for knowledge organisation and processing. The features of knowledge organisation and its use in problem-solving and decision-making are explained. Classification plays an important role in knowledge organisation. An understanding of mental models and mental maps helps in information needs of users effectively. The schemes classification in knowledge processing is highlighted. The paper examines the scope of knowledge organisation in the modern technology and its application.

Subhash reddy b

We reported a case of cyclophosphamide (CYP)-induced posterior reversible encephalopathy syndrome (PRES) in a 26-year-old previously healthy male patient who was presented to the emergency department with a history of fever, shortness of breath, and hemoptysis. After extensive investigations, including bronchoscopy and autoimmune screening, he was diagnosed with renalpulmonary syndrome. The diagnosis of CYP-related PRES was based on the development of neurological clinical picture supported by magnetic resonance imaging findings. The dose of CYP was decreased to 75 mg/day, and the patient’s symptoms improved after 3 days.

Karishma

This paper examines the utilisation pattern of e-resources by faculty of the Kempegowda Institute of Medical Sciences (KIMS) Bangalore. The purpose of the study is to understand the utilisation pattern of E-resources and frequency of access to the internet by the faculty members of KIMS. The faculty members of health science universities and/or medical colleges are engaged in teaching, research, and their information needs and expectations are diverse and varied. Realising the importance and usefulness of the E-resources, most of the colleges in India and elsewhere generously invested in procuring and create access to eresources to support information needs, teaching, learning, and research studies. The paper highlights the usage of different types of e-resources in health sciences, and also the application of web browsers and search engines in this context by the faculty members of KIMS. The levels of satisfaction among faculty members of KIMS towards the E-resources and barriers in using E-resources have been identified in this study.

Subhash reddy b

Increasing presence of women in economic pursuits like entrepreneurship activities is believed to be the result of development policies. This belief ignores the role of socioeconomic factors in the growth and development of women entrepreneurship. Many women entered the world of business and they have become successful entrepreneurs in various business activities. Women entrepreneurs in Dakshina Kannada district have set up business ventures in a range of industries. The study has been conducted to know the extent of problems faced in managing work and life by women entrepreneurs. Majority of the respondents started their business or service to become independent and to meet the financial needs of their family. From the study it has to be found that majority of the women find it difficult to manage their work and family and they are trying to overcome these difficulties by time management and with the help of their family members.

Thara s shetty