Corporate social responsibility is a self-equipped business approach that helps an organization be socially responsible to its stakeholders and the overall public. Through the practice of CSR, companies are conscious and aware of the impacts they have on all aspects of society, including economic, social, and environmental (Goel and Ramanathan, 2014, p. 51). A case study scenario, in this case, is of StanBed Tours Ky, the impact of CSR on consumer loyalty, stating that the increase of CSR has resulted in the society's satisfaction with the business (Bediako, 2017, p. 1). CSR influences the people affected by it in various intensities and means. Such as, employees, who are part of the major stakeholders, are significantly affected by the organization's corporate social responsibility activities in marketing, which shape their logic, inspiration and lead to deeper commitments to achieving organizational goals and strategic plans (Makasi et al., 2014, p. 2600). Additionally, CSR investments in marketing significantly impact external shareholders such as consumers and the organization's image (Kaman, 2015, p. 7). CSR activities carried out by StanBed include tree planting exercises to mitigate carbon dioxide emissions resulting from flying airplanes, voluntary beach cleaning services to protect marine life, and providing educational services to children in the community of tours.
In their different ownership structures, business enterprises pursue different strategies towards accomplishing their owners’ needs and interests. At the heart of these accomplishments is the generation of sufficient financial returns to cover obligations as they become due and residual incomes for the owners. It is doubtless that without a grip of financial stability, the survivability of for-profit organizations becomes bleak. Financial management plays and instrumental role in this case. The generation of sufficient information for decision making for the business and investors alike is integrally critical in shaping the progression of the business enterprise. While businesses provide financial statements according to prevailing laws and accounting standards to the public for their consumption in decision making, they are further needed to be accountable to them regarding their performance and investors’ engagements, especially considering that investors are foundational sources of capital for organizational operations.
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.
The coexistence of Moyamoya syndrome (MMS) and Graves’ disease (GD) is uncommon. Here, we report a case of a 41-year-old Filipino female, who presented with thyrotoxicosis and acute ischemic stroke. Based on her clinical presentation, cerebral computed tomography angiography, and thyroid function tests, she was diagnosed with MMS and GD. Her Burch-Wartofsky point scale score was 30, suggesting an impending thyroid storm. Antithyroid therapy was started with her neurological status deterioration initially, but after controlling the thyroid storm, the patient’s neurological status stabilized. She remained stable till she travelled to her country. We hypothesized that MMS in a patient with GD is mediated through anti-dsDNA antibodies, by altering key biological mechanisms, that is, inflammation, neutrophil extracellular traps, and apoptosis that drive a distinctive and coordinated immune and vascular activation. To the best of our knowledge, this is the first case of MMS associated with GD reported in Qatar.
Background: Scabies is characterized by the presence of burrows, erythematous papules, and generalized pruritus which is usually worse at night. Recently an upsurge in the incidence of scabies has been reported in many settings, including the area of the study. The study aimed to determine if there is a nexus between scabies and climate change as a risk factor. Methods: This was a case-control study carried out in a Cottage Hospital. Case files of 18, 000 patients who attended the hospital between 2016 and 2019 were reviewed. The diagnosis was mainly clinical, i.e. based on the presence of itching in the typical scabies locations, presence of scabies burrows and history of similar itching in the other members of the patient’s household. 112 cases of scabies were diagnosed within this period. Results: From 2016 to 2019, the incidence of scabies rose from 3 to 50. Prevalence among males was 59.8%, and in females 40.2%, although the difference was not significant (p=0.0.53). Compared to other age groups, prevalence was highest in the 6-17 years age group (37.5%), but the difference among the age groups was also not significant (p=0.84). Conclusions: Within four years (2016-2019), the incidence of scabies had risen from 3 to 50 in the area of the study, being higher in males (59.8%) than females (40.2%), and in children less than 18 years (37.5%). Community survey, prompt diagnosis, adequate treatment and avoidance of overcrowding might help to stem the observed rising incidence of the disease.
The scaling of metabolic rates with body mass is one of the best known and most studied characteristics of aquatic animals. We studied here how size is related to oxygen consumption, ammonia excretion and O: N ratio in Freshwater Bivalve Mollusc Lamellidens marginalis species in an attempt to know how size specific changes affect their metabolism. The freshwater bivalve molluscs with specific size i.e. small (77 79 mm in shell length) and large (90 93 mm in shell length) were selected for experimental work from Bhima River at Siddhatek on December and January during winter. The adult bivalve molluscs with small size reported high value in oxygen consumption and O: N ratio but ammonia excretion was low value in small sized bivalves compared to large ones. The results are discussed in the glow of metabolic processes in fresh water bivalve molluscs.
One of the most important challenges for a company is to manage its supply chain efficiently. One way to do this is to control and minimize its various logistics costs together to achieve an overall optimization of its supply network. One such system that integrates two of the most important logistics activities, namely inventory holding and transportation, is known as the inventory routing problem. Our replenishment network consists of a supplier that uses a single vehicle to distribute a single type of item during each period to a set of customers with independent and deterministic demand. The objectives considered are the management of supplier and customer inventories, the assignment of customers to replenishment periods, the determination of optimal delivery quantities to avoid customer stock-outs, the design and optimization of routes. A genetic algorithm (GA) is developed to solve our IRP. Different crossover structures are proposed and tested in two sets of reference instances. A comparison of the performance of different crossover structures was established. Then, it was used to find the most appropriate crossover structure that provides better results in a minor computation time. The obtained results prove the competitiveness of GAs compared to literature approaches, demonstrate the performance of our approach to best solve large scale instances and provide better solution quality in fast execution time.
Hypertriglyceridemia-induced acute-pancreatitis (HTG-AP) is an important etiology of acute pancreatitis (AP). The treatment includes general management of AP with bowel rest, analgesia, and venous thromboembolism prophylaxis. Specific treatment of HTG-AP focuses on reducing serum triglyceride (TG) levels. Various modalities have been used, including heparin infusion, insulin infusion, plasmapheresis, and double filtration plasmapheresis (DFPP). However, the extent to which TG reduction translates into a clinical response remains unclear. This review highlights the emerging evidence on the management of HTG-AP. Insulin therapy and plasmapheresis remain treatment options to reduce TG. DFPP is an emerging treatment modality to reduce TG levels in patients with AP. However, to what extent this translates into a better clinical response is yet to be answered in large and prospective study designs.
Contact between pharmaceutical company representatives (PCRs) and medical practitioners is viewed by drug companies as a vital part of their marketing strategy. Studies show that PCRs employ persuasion disguised as information. Because PCRs are keenly involved in competitive marketing, they are more likely to use persuasion than information during their promotional visits. Information increases customer awareness of a particular product without influencing the preferences. Persuasive marketing directly influences a consumer’s brand preference. Positively influencing a prescriber’s attitude towards a product is essential for effective marketing since there is an association between attitude, intention and behaviour. Numerous studies find that pharmaceutical promotional interactions have an impact on physician’s perceptions and their prescribing practices. Yet, many of today's health professionals do not acknowledge their vulnerability to being misled by pharmaceutical marketing. This study demonstrate that Pharmaceutical promotion strategies do not differ greatly from those of other types of marketing, PCRs more likely to use persuasion to highlight the perceived difference of their particular brand. Persuasion often has a subtle influence that is not easy to detect and physicians should receive education regarding the drug promotion techniques used by pharmaceutical companies. Persuasion often has a subtle influence that is not easy to detect. Overconfidence is a major risk factor for being misled. This analysis highlights some critical aspects of persuasive communication by PCRs in promotional visits. It will help prescribers to interpret, evaluate and respond appropriately to manipulative behaviour by PCRs.
Mediterranean journal of pharmacy and pharmaceutical sciences
Sentiment analysis and opinion mining is a branch of computer science that has gained considerable growth over the last decade. This branch of computer science deals with determining the emotions, opinions, feelings amongst others of a person on a particular topic. Social media has become an outlet for people to voice out their thoughts and opinions publicly about various topics of discussion making it a great domain to apply sentiment analysis and opinion mining. Sentiment analysis and opinion mining employ Natural Language Processing (NLP) in order to fairly obtain the mood of a person’s opinion about any specific topic or product in the case of an ecommerce domain. It is a process involving automatic feature extractions by mode of notions of a person about service and it functions on a series of different expressions for a given topic based on some predefined features stored in a database of facts. In an ecommerce system, the process of analyzing the opinions of customers about products is vital for business growth and customer satisfaction. This proposed research will attempt to implement a model for sentiment analysis and opinion mining on Twitter feeds. In this paper, we address the issues of combining sentiment classification and the domain constraint analysis techniques for extracting opinions of the public from social media. The dataset that was employed in the paper was gotten from Twitter through the tweepy API. The TextBlob library was used for the analysis of the tweets to determine their sentiments. The result shows that more tweets were having a positive subjectivity and polarity on the subject matter.
Background: As Bangladesh has gained the reputation of improving the health sectors, much health related sites still require improvements. Community clinic services (CCS) may contribute to this sector with its foremost importance. So this study was conducted to investigate the utilization and health services provision by community clinics (CCs) in rural area. Methods: A descriptive longitudinal study was conducted among three community clinics of Jashore and a structured questionnaire was developed on which most of the questions were developed to find out the contributions of these community clinics. Here for data analysis we used SPSS version 25.0 software. Results: Here we analyzed health service related data from three randomly selected community clinics (CCs). We found an average of 15 patients got antenatal care every month by the Komlapur CC throughout the year. About 140 patients received health services per month from Dogachiya CC. About 634 children were benefited by Saziyali CC throughout the year. By this study we came to know that average 67-75 patients were provided iron supplementations each month by Saziyali CC. All of the CCs had active referral system and online reporting system. Conclusion: From our study we came to know that majority % of rural people are now dependent on community health care services. But most of the community clinics have many limitations regarding infrastructure, training, medicines, financial etc. So the government should take necessary steps regarding this.
The current study was conducted to explore the antiemetic activity of two marine algae, Iyengaria stellata Børgesen (Phaeophycota) and Valoniopsis pachynema Børgesen (Chlorophycota), by chick emesis model. Emesis was induced by copper sulphate (50 mg/kg), and the extracts were tested orally at 150 mg/kg. Chlorpromazine (150 mg/kg orally) was used as a standard antiemetic drug. The results showed that methanol extracts of both seaweeds have antiemetic activity.
Long periods of free-movement Restrictions may negatively affect Cardio-Pulmonary fitness and health. As, the COVID-19 virus primarily affects Respiratory system, and also associated with cardiovascular disease, can induce the following complications like thrombosis, myocardities, Interstitial pulmonary fibrosis, diffuse alveolar damage and persistent decline in lung function, as the lung capacity decreases it may results in decrease in Cardio Pulmonary endurance. The Present study investigated changes after the COVID-19 confinement in total distance covered in 6 minutes by patients and correlation between 6 minutes walk test vs. oxygen saturation; Results suggest that the Mean ± SD of age is 43.4 ± 10.8years. Male: Female 1:0.5.Mean ± SD of total distance walked in 6 minutes by patients is 443.5 ± 55 compared with Hypothetical mean (normative value) is 571 ± 90.Correlation between Total distance walked in 6 minutes vs. oxygen saturation is r = 0.055.
Mano Matram Jagat; Mano Kalpitam Jagat - (“the world is as the mind sees and feels it; the world is as the mind thinks of it” (as qtd. by T.N.Sethumadhavan, 2010). So, our life is in the way we feel and perceive it. Humans are a mixture of emotions and reasons. Reasoning enables them to analyze and judge things with mathematical precision, while emotions help them to understand and empathize others that make them human. Traditionally, people with a high degree of logic and reasoning were believed to be intelligent and. The purpose of the IQ tests was designed to ascertain a person’s intelligence based on the reasoning and the logical aptitude of the person. IQ tests were found to be effective when a person is ‘not’ scared or angry or intrigue about specific things that aroused emotions. Emotions were considered disruptive in nature, which influences the process of thinking of a person (Woodworth, 1940). Mowrer (1960) opined that “emotions are of quite extraordinary importance in the total economy of living organisms and do not deserve being put into opposition with intelligence‟. The emotions are, it seems, themselves a higher order of intelligence.”
In this article, we study an Inventory Routing Problem with deterministic customer demand in a two-tier supply chain. The supply chain network consists of a supplier using a single vehicle with a given capacity to deliver a single product type to multiple customers. We are interested in population-based algorithms to solve our problem. A Memetic Algorithm (MA) is developed based on the Genetic Algorithm (GA) and Variable Neighborhood Search methods. The proposed meta-heuristics are tested on small and large reference benchmarks. The results of the MA are compared to those of the classical GA and to the optimal solutions in the literature. The comparison shows the efficiency of using MA and its ability to generate high quality solutions in a reasonable computation time.
Scholars who apply artificial intelligence to political questions seek, most generally, to expand the scope and relevance of political model analysis. By incorporating the effects of variable human notions, traditions, and meanings, they seek to humanize political models. Most early applications of artificial intelligence in political science research address substantive issues pertaining to political decision making. Most of these works apply production-system technology to construct choice models in for eign-policy decision contexts. In recent years, political applications have begun to diver sify. Today, lively research efforts flourish in widely varied application areas, such as computational text analysis, logic programming, computer learning, and conflict sim ulation. The works reviewed here constitute the early steps of a nascent program of study. Much remains to be accomplished. Nevertheless, the efforts conducted thus far suggest many potentially fruitful research avenues. Youth are the most essential and promising segment of every country’s population. India has a larger advantage over other countries in terms of becoming a global leader because we effectively tap into the youth’s potential. Quality education is the only way to achieve this. With artificial intelligence’s potential growth in India, now is the ideal time to incorporate AI in education to reap its benefits and prepare India’s young for the future. Artificial intelligence has great potential in India. India’s AI technology has the potential to make it a world leader in artificial intelligence. In India, AI technology is used effectively in nearly every area, including agriculture, healthcare, education, infrastructure, transportation, retail, manufacturing, and
Several pieces of research have proved that the relational effects and outcomes of service quality have a positive and significant impact on consumer satisfaction, consumer retention, consumer loyalty and consumer advocacy. The present research analysed the impact of seven relational outcome constructs on the consumer satisfaction and found that Consumer education, Physical evidence, Emotional intelligence, Social competence and Product policy, have significant and direct impact on overall consumer satisfaction The other relational outcome constructs, personalized relationship between individual customer and service employee, consumer retention and consumer loyalty have important direct effect on overall consumer satisfaction, and these three outcomes also have a direct effect on consumer advocacy. Hence, it was concluded that service quality, consumer satisfaction and consumer loyalty are positively correlated and have a significant and positive impact on consumer advocacy. The research was conducted on 300 consumers of the insurance industry.
Vigna trilobata (L.) VERDC. belongs to the family Papilionaceae, which is found throughout the tropical and warm temperate regions of the world. In folk medicine, it is used for arthritis, fever, cough, dysentery, and urinogenital disorders. Different secondary metabolites, such as alkaloids, glycosides, terpenoids, and flavonoids, have been reported in Vigna trilobata. It has antioxidant, antidiabetic, and anti-inflammatory activities.
During the last few years, the pharmacy profession has expand significantly in terms of professional services delivery and now has been recognized as an important profession in the multidisciplinary provision of health care. The paper highlights the current scenario The Pharmacy profession in health care system. Pharmacist is a backbone that strengthens to health care system. Different roles of Pharmacist in different sectors of pharmacy profession like Industrial, academic s, community health, clinical research, drug design and discovery, developing NDDS etc. In nutshell pharmacist play an integral part of health care system. “Physician gives medicine to the patients but life to medicine given by pharmacist”
This study was carried out to evaluate the effects of thermal processing techniques on the nutrient and antinutrient contents of pigeon pea (Cajanus cajan) flours. The pigeon pea seeds were sorted, cleaned and divided into five equal lots of 0.5kg each. Four lots of pigeon pea seeds were processed into blanched, boiled, roasted, and autoclaved pigeon pea flours, while the fifth lot was processed raw and used as control. The raw and thermally processed samples obtained were analysed for nutrient and antinutrient composition using standard methods. The proximate composition of the samples showed that the flours had a range of 8.61 - 11.46 % moisture, 21.13 - 23.94 % crude protein, 1.26 - 1.68 % fat, 5.12 – 6.10 % crude fibre, 1.74 – 2.97 % ash, 55.56 – 60.41 % carbohydrate and 333.45 - 342.75 kJ/100g energy, respectively. The mineral composition showed that the flours contained 86.24 – 144.72 mg/100g calcium, 137.80 – 170.33 mg/100g magnesium, 125.86 - 156.76 mg/100g potassium, 66.66 – 95.62 mg/100g sodium, 4.38 – 6.64 mg/100g iron and 130.27 – 178.29 mg/100g phosphorus, respectively. The vitamin content of the flours were 3.09 - 4.33 mg/100g ascorbic acid, 0.05 - 0.17 mg/100g thiamine, 0.03 - 0.21 mg/100g riboflavin, 0.13 - 0.28 mg/100g niacin, 3.21 - 6.25 mg/100g vitamin A and 1.10 - 2.70 mg/100g vitamin E, respectively. The antinutrient composition of the flours also showed that the levels of trypsin inhibitor, tannin, phytate, oxalate, saponin and haemagglutinin ranged from, 2.30 – 5.61 Tiu/mg, 0.81 – 1.5mg/100g, 1.12 - 4.18mg/100g, 0.48-4.01 mg/100g, 1.28 – 3.66 mg/100g and 1.30 – 7.44 Hiu/g, respectively. Therefore, the study showed that thermally processed pigeon pea flours could be used as nutrient dense ingredients in the preparation of a wide range of foods for children, adolescents and aged adults especially in developing countries where the problems of protein-energy malnutrition and micronutrients deficiencies are prevalent than the raw sample.