AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering.
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
Pharmacists play an essential role in medication management by ensuring medication safety, promoting adherence, and providing patient education. However, public understanding of their expanded roles remains limited. This study evaluates patient awareness of pharmacists' contributions to medication management, focusing on education, adherence, and safety within Saudi Arabia. A cross-sectional, quantitative study was conducted using an online questionnaire distributed to 1,000 participants through social media platforms. Data were analyzed using SPSS version 26.0. Descriptive statistics summarized demographic characteristics and awareness levels, while inferential analyses, including chi-square tests and logistic regression, identified predictors of engagement with pharmacists. Most participants (87.5%) reported interacting with pharmacists, yet awareness of pharmacists’ roles beyond dispensing medications was limited. Only 50% recognized pharmacists’ role in patient education, and 45% acknowledged their role in monitoring side effects. Logistic regression revealed that trust in pharmacists, interaction frequency, and gender significantly influenced patients’ willingness to seek more information. Correlation analysis highlighted a moderate positive relationship between confidence in pharmacists’ advice and belief in their expanded role. Significant gaps in public awareness of pharmacists’ roles were identified, underscoring the need for targeted public education and enhanced pharmacist-patient interactions. Leveraging digital tools and expanding pharmacists’ roles in healthcare teams could improve patient outcomes and awareness.
Artificial Intelligence (AI) has emerged as a transformative force in healthcare, offering promising advancements in diagnostic precision, personalized treatments, and resource management. The successful implementation of AI in specialized fields like nursing depends heavily on public acceptance and trust. This study explores public perceptions of AI in nursing, particularly focusing on telenursing in Saudi Arabia. The study aims to assess public awareness, perceptions, and concerns regarding AI in nursing, with a focus on understanding acceptance levels and identifying barriers to AI adoption in healthcare. A quantitative cross-sectional design was employed using an online questionnaire distributed to participants aged 18 years and above across Saudi Arabia. The questionnaire covered five areas: demographic information, awareness of AI in healthcare, perceptions of AI in nursing, concerns and barriers, and future expectations. Descriptive statistics and advanced analysis such as Chi-Square and logistic regression were conducted using SPSS. Of the participants, 49.9% were between the ages of 25-34, with females constituting 66.4% of the sample. A significant majority (85.2%) had heard of AI in healthcare, and 68.7% were aware of AI applications in nursing. Most participants (53.4%) were somewhat comfortable with AI in nursing, and 44.5% believed AI would improve nursing care quality. Concerns about data privacy (37.2%) and loss of human touch (33.9%) were prominent. Advanced analysis revealed several significant associations. A Chi-Square test indicated a significant relationship between education level and comfort with AI in nursing (χ² = 18.47, p < 0.01), with participants holding higher education levels reporting greater comfort. Similarly, there was a significant association between age group and willingness to participate in AI-related educational courses (χ² = 22.68, p < 0.01), with younger participants being more willing to engage in such opportunities. Logistic regression further demonstrated that education level was a strong predictor of trust in AI assistance, with participants holding higher education degrees being 1.5 times more likely to trust AI in nursing care (p < 0.01). The study indicates that public perceptions of AI in nursing in Saudi Arabia are generally positive, with strong awareness and acceptance levels. However, concerns about data privacy, job displacement, and the loss of human connection in care remain significant barriers to full acceptance. Addressing these concerns through education and policy development will be crucial for the successful integration of AI in nursing.
Eight varieties of bajra stovers such as Jakarana, ICMV-221 (1H), ICMV 155 (1H), Wrajpop, Sosat C88, ICMV 221 (2H), ICMV 155 (2H) and Sadore local and two varieties of sorghum (PKV 801-1 and PKV 801-4) and cowpea hay (C-151) grown in ICRISAT, Patancheru were evaluated for their in vitro gas production (IVGP). Fresh fecal inoculum (FI) with nitrogen supplemented (N+) and unsupplemented (N-) incubation medium was used as a source of incubation to replace the rumen inoculum on microbial nitrogen equivalent to describe volume of in vitro gas production of stovers. Chemical composition of stovers evaluated was 3.00 to 6.51 for CP, 0.80 to 1.53 for EE, 26.05 to 40.53 for CF, 8.77 to 14.04 for TA, 43.57 to 57.53 for NFE on DM basis. Significantly (P<0.05) highest gas production was noticed in ICMV 221 (1H) variety of stover in both N+ and N- medium of FI. It is concluded that the gas production parameters of stovers and cowpea hay incubated with FI with or without nitrogen supplementation could be used as a primary tool and basis for screening and selecting the stovers for feeding ruminants.
Increasing levels of antimicrobial resistance in human and veterinary medicine have raised concerns around the issue of overprescribing and the indiscriminate use of antimicrobials. Antimicrobial use in food producing animals is under scrutiny due to the perceived risk from the zoonotic transfer of resistant pathogens from animals to humans. Determining significant factors that influencing veterinarian’s antimicrobial prescribing behavior can help to bridge the gap between prescribing recommendations and clinical utilization. Understanding the factors deciding prescription practices of veterinarians and its effect on their knowledge, attitude and practices towards antimicrobial resistance (AMR) is crucial in guiding efforts to curb AMR. A questionnaire study was conducted to evaluate the factors influencing veterinarian’s antimicrobial prescribing decisions in large animal practice and its impact on their knowledge, attitude and practices about AMR and stewardship among veterinarians in Kerala, India. The study findings revealed that clinical considerations influenced veterinarian’s antimicrobial prescribing decisions more than non-clinical reasons. Clinical signs/symptoms as well as the critical nature of the illness were the most often used clinical considerations in determining whether to prescribe an antimicrobial or not. Pharmacological considerations have a greater influence on antimicrobial prescribing than non-pharmacological factors. The most significant pharmacological factors were the antimicrobial's spectrum of activity, the duration of therapy and the route as well as frequency of administration. Multiple linear Regression analysis between factors influencing prescribing behavior and veterinarian’s knowledge, attitude and practices revealed that all the four factors i.e., clinical, non-clinical, pharmacological and non-pharmacological factors had a significant impact on explaining variations in veterinarian’s knowledge, attitude and practices about antimicrobial resistance and stewardship.
This study was performed to determine the nutritive value of sorghum (PKV 801- 1 and PKV 801- 4) and pearl millet stovers (ICMV 155 (1H), ICMV 155 (2H), ICMV 221 (1H), ICMV 221 (2H), Jakarana, Wrajpop, Sosat C 88 and Sadore local) which were grown in ICRISAT, Patancheru using in vitro gas production test. The in vitro samples were dried and ground in Wiley mill using a medium mesh of 1 mm and the 200 mg of ground samples were incubated in triplicate in calibrated gas syringe at 390C in waterbath. Rumen inoculum was replaced by Fecal Inoculum on microbial N equivalent for in vitro gas production technique. Fresh fecal sample (FI) for in vitro gas production test was collected from two adult bullocks of Ongole breed of similar sex, age and weight, kept exclusively on stover feeding. The volume of in vitro gas production of stovers was measured at 0, 3, 6,9,12,24,48,72 and 96 hr of incubation. Gas production data were fitted to the exponential model P= a+b (1-e-ct) for calculating the kinetics of gas production. The partitioning factor (PF) was also estimated from incubation residues which were refluxed with neutral detergent fiber solution. In vitro efficiency of microbial production (EMP) was also calculated from the amount of substrate truly degraded (TSD) and gas volume. Significantly (p<0.05) the highest IVOMD was observed for stover ICMV 221 (1H). PF value at half time of gas production was ranged from 3.32 to 6.04 for stovers. The amount of organic matter truly degraded ranged from 50.7 to 109.30 mg / 200 mg substrate incubated with an average value of 66.3 mg/ 200 mg substrate observed for stovers. The lowest, time to half maximal gas production (t1/2) volume of 9.3 ml was observed in ICMV 221 (1H) variety of stover and the substrate that produces less gas volume and higher in amount of substrate truly degraded had higher feed intake. To confirm the above findings, an in vivo experiment was conducted on Deccani sheep to know the nutritive value of the stovers and resulted that the high voluntary feed intake was observed in the group fed with the stover ICMV 221 (1H). To conclude, the data related to the kinetic parameters, TSD and EMP of stovers, supports the fact that the stover variety ICMV 221 (2H) was superior than other stover varieties evaluated and had a promising future for feeding ruminants.