Host plant resistance is an important tool for minimizing the losses in pigeonpea due to pod borer, Helicoverpa armigera (Hubner), spotted pod borer, Maruca vitrata (Geyer) and pod fly, Melanagromyza obtuse (Malloch) which are the most threatening hidden pests of pigeonpea crop. Resistant cultivars has a remarkable potential for use in integrated pest management programme. The biophysical, morphological and structural attributes of plants plays an important role in plant defense mechanisms. The glandular (type A and type B) and non-glandular (type A) trichomes on pods of top and middle canopy of the plant and pod wall thickness were associated with resistance to H. armigera, M. vitrata and M. obtusa whereas, the non-glandular lengthy (type C) trichomes and pod length were associated with susceptibility to the said insects. The expression of resistance to H. armigera, M. vitrata, and M. obtusa was associated with the high amount of fat, phenol and tannin content. Whereas, the higher amount of crude protein and total soluble sugar content were responsible for higher pod infestation.

Dr. babu lal jat

Improving the agricultural productivity is an imminent need to meet the food requirement of constantly growing population rate. It can be gracefully satisfied if the farming process is integrated through technologies such as big data and IoT. The integration of agricultural processes with modern technologies has emerged as the smart agriculture technology. This research work is focused on proving the suitability of the big data analytics for smart agricultural processes in terms of increasing production and quality of yields with less resources and overhead. This research paper expounds the extensive review carried out on the related works in smart agricultural farming, challenges in implementing the smart farming technologies at large scale, followed by the conceptual framework model for the effective implementation of big data together with IoT devices in smart farming.

Dr h shaheen

Urolithiasis is a common problem that has been afflicted for centuries and has a high recurrence. This review covers the sixty-four (64) antiurolithiatic plants of the family Fabaceae used in 18 different countries and their historical antiurolithiatc background. Hopefully, this review will be helpful for the general public and attract the scientific world for antiurolithiatic drug discovery.

Dr. salman ahmed

Dengue is an acute infection disease caused by a flavi virus (species Dengue virus of the genus Flavi virus), transmitted by female mosquito aedes mosquito, infection has globally become a major public health concern since the incidence of the dengue fever has increased more than 30-fold over the last decades. The dengue fever has been a most important public health problems since many years and the various outbreak of the dengue cases has been seen time to time. One of the reasons for the increasing and time to time outbreak of the dengue may be the reason of climate change, global warming, lack of knowledge about signs, symptoms, transmission, preventive measure and lack of ignorance or lack of the preventive practice of the dengue fever. Method: Descriptive, cross-sectional study on 192 head of household's was study population residing in Kanchan RM, Rupandehi Respondent was selected using Non probability judgmental sampling techniques by face-to-face interview was used. Result shows 58.3% good knowledge and 62% good practice. Knowledge was found to be associated with Age, Types of family, Size of family, educational level and Family suffered from dengue. Preventive practice was found to be associated with the Ever heard from health professional. Study will contribute towards development of appropriate policy strategies at local level that will tackle the problem associated with the knowledge and preventive practice of DF and provide a basis for future research on this area. Inferential analysis shows that there is significant association between the level of knowledge with age, types of family, size of family, educational level and family suffered from dengue and the level of preventive practice was associated with the ever heard from health professional.

Raju khanal

Production process in the manufacturing industries has proven wasteful of the resources in the production process over time. integrating of lean principles in the manufacturing activities has brought notable success in a complex and slow production process in an industry. This study aims at integrating of lean principles to a product development process to eliminate break down cases as it makes the process easy as well as speeding up the product development in an automotive industry. Three major phases are applied in product development namely; the early concept phase, middle core design and the launch phase. An exceptional definition of products development of lean principles are applied to come up with an analysis framework. Through interviews, observations, documentation and experience barriers that causes large number of wastes can be established. Lean principles will then be applied to eliminate such causes in the product development and then derive conclusion that shows the industry the process of lean in product development in the entire process

Levi p. cheworei

Background: Percutaneous coronary intervention (PCI) has remained one of the greatest treatment modalities of the spectrum of atherosclerotic coronary artery disease over the past few years due to its high efficacy and minimal invasiveness. The most common cause of stent failure is stenting under-expansion, which complicates PCI. Thus, it is tremendously important to perform PCI relying on the precise measurement of the size of the coronary artery obtained with the help of intracoronary imaging. There is limited data on the size of coronary arteries as measured by intravascular ultrasound (IVUS) in India and specifically in southern India. This study, conducted between January 2022 and March 2023, aimed to estimate the coronary artery dimensions, which can serve as a guide to PCI when intracoronary imaging is not available Methods: A sample size of 165 patients with proven coronary artery disease undergoing IVUSguided PCI during acute or chronic coronary syndrome were recruited, and coronary arterydimensions were measured in this research work. The mean arterial size and predictors of the arteries were reviewed. Results: A total of 165 patients with 590 coronary artery segments were recruited: the mean left main (LM), external elastic membrane (EEM) diameter, and cross-sectional area (CSA) were 4.92 ± 0.41 mm and 17.83 ± 2.88 mm2 proximal left anterior descending (LAD) artery, 3.75 ± 0.32 mm and 13.74 ± 2.45 mm2 the mid-LAD 3.42 + 0.28 mm and 10.65 + 2.08 mm2 the distal LAD 2.94 + 0.31 mm and 7.98 + 2.07 mm2 the proximal left circumflex artery (LCX) 3.62 ± 0.32 mm and 11.67 ± 2.36mm2, the distal LCX 2.91 ± 0. 33 mm and 8.98 ± 2.22mm2 the proximal right coronary artery (RCA) 4.17 ± 0.41 mm and 14.82 ± 2.78 mm2 the mid-RCA 3.85 ± 0.36 mm and 12.94 ± 2.44 mm2, the distal RCA 3.43 ± 0.30 mm and 11.08 ± 2.05 mm2, respectively. The predictor of most epicardial coronary arteries is body surface area (BSA) with positive linear correlation. Conclusions: Measurements of the coronary arteries obtained were comparable to the previous data on coronary artery size of Southeast Asia and Caucasian populations using IVUS. BSA is an independent predictor for the majority of epicardial coronary arteries with a positive linear relationship. Male gender and hypertension also positively correlate with larger coronary artery dimensions, while dyslipidemia leads to smaller coronary artery sizes. Neither diabetes nor smoking influences coronary artery size in the current study. Finally, the quantification of the size of the coronary artery will help the clinician to have a reference dimension in instances where there is no intravascular imaging available.

Karishma

Learning is a conscious effort made by individuals to acquire various kinds of abilities (competencies), skills (skills), and attitudes (attitudes) through a series of learning processes that will ultimately result in behavioral changes in the individual. The learning process in schools tends to emphasize the achievement of changes in cognitive (intellectual) aspects which are carried out through various forms of approaches, strategies, and certain learning models. Learning systems that specifically develop affective abilities have received less attention, affective abilities are only used as a nurturing effect. This study aims to (1) find out whether online learning is able to bring out the affective abilities of prospective study program teachers (2) analyze the affective abilities of prospective teachers in online learning. The data used in this study is qualitative data. The technique used is a questionnaire. This questionnaire was given to respondents, namely students of PGSD teacher candidates at Muhammadiyah University of Pringsewu. The results of the study indicate that affective abilities can appear in online learning as evidenced by the results of the questionnaire that has been given to respondents. The indicators of affective ability in this study include attitudes, interests, self-concept, values, and morals, all of which are in the good range. This means that the results of students' affective abilities can be said to be valid or appear in online learning

Educare: journal of primary education

This case report presents a rare instance of solitary endobronchial plasmacytoma in a 58-year-old male, who had progressively worsening shortness of breath and a productive cough. The patient, who had a smoking history, was found to have a large, hypervascular mass completely obstructing the right main bronchus, confirmed as a plasma cell tumor via endoscopic biopsy. Further diagnostic imaging, including positron emission tomography-computed tomography (PET-CT) and chest CT, revealed a mass measuring 1.7 cm with abnormal fluorodeoxyglucose (FDG) uptake. The bone marrow biopsy ruled out multiple myeloma. The patient underwent challenging endoscopic debulking of the tumor, although margins were not well defined due to its size. Post-operatively, the patient showed significant symptomatic improvement and was discharged home on post-operative day 4. Two months after the procedure, follow-up with a chest CT scan and bronchoscopy showed no evidence of residual tumor or local recurrence, and the patient reported significant respiratory improvement. The literature review revealed that extramedullary plasmacytoma (EMP) is uncommon and often occurs in the upper aerodigestive tract. The diagnostic workup generally involves histopathological analysis, bronchoscopy, and imaging studies. Treatment is tailored to the patient’s condition and the characteristics of the tumor. This case underscores the need for a high index of suspicion and comprehensive diagnostic evaluation of patients presenting with obstructive bronchial mass. Furthermore, it highlights the importance of considering endobronchial plasmacytoma in the differential diagnosis of obstructive bronchial masses and the value of early intervention in achieving favorable outcomes. Regular follow-up is crucial to monitor recurrence and ensure ongoing patient well-being.

Mohamad banat

This article explores the intersection of Artificial Intelligence (AI) and predictive analytics in healthcare, focusing on the transformative role of AI-based predictive analytics in enabling proactive and personalized patient care. Through an in-depth analysis of recent advancements, practical implementations, and ethical considerations, the paper elucidates how these technologies contribute to early intervention, improved patient outcomes, and enhanced healthcare efficiency.

Dhruvitkumar talati

Woman constitutes the family, which leads to the development of society and Nation. The social and economic development of women is necessary for the overall economic advancement of any society or a country. Entrepreneurship comprises venture activities that are the center of the recognition of various opportunities, creativity, and innovation in the production process and development of new business models and ventures. Entrepreneurship plays a major role in developing society of a fastdeveloping country like India. In comparison to other countries, the event of women entrepreneurship is extremely low in India, especially in rural areas. However, middle-class women aren't too eager to alter their roles because of fear of social backlash. The growth is more visible among high families in urban areas. Rural women frequently have primary responsibility for agricultural production, additionally to domestic responsibilities and childcare. In developing countries like India where the economic status of women is extremely pathetic especially in rural areas and opportunities of earning are very less. For establishing self-esteem and recognition in society, women are attracted to entrepreneurship. To sustain within the competitive market, businesses administered by women are mainly hooked into internal resources and their capabilities supported which they struggle to compete with the external environment. The present paper endeavors to study the opportunities and challenges of women entrepreneurs. The study aims to analyze the factors that encourage women entrepreneurs. This study is based on secondary data collected from previous research papers, journals given by various research scholars, blogs, and websites. This study concludes that women entrepreneurs should be provided with special training facilities to overcome challenges and for developing their skills and talents.

Mamta gaur

The presented mathematical model is used to form machine cells, optimize costs of exceptional elements and design the shop floor layout for various demands of components. The complete similarity measure algorithm forms machine cells and part families in a refined form. Later, exceptional elements are eliminated in linear programming optimization model by using machine duplication and part subcontract. Then the shop floor layout is designed to have optimized material movements between cells and within a cell. The performance evaluation of cell formation algorithm is done on case studies of various batch sizes to give the process capability compared with other similar methods. The result from a linear programming optimization model is cost savings, machines duplicated, parts subcontracted, inter intra cellular movements. Finally, the output of inbound facility design is the floor layout which has machine cell clusters with optimized floor area.

S ramesh

The study was undertaken to evaluate the nutrient composition, physical and sensory properties of bread samples produced from wheat, ground bean and sweet potato flour blends. The ground beans and sweet potatoes were prepared into flours and used at varying replacement levels (5-25% and 5-25%) for wheat flour in the production of bread loaves with 100% wheat flour bread as control. The nutrient composition, physical and sensory properties of the bread samples were determined using standard methods. The moisture, crude protein, fat, crude fibre and ash contents of the bread samples increased significantly (p<0.05) with increase in the addition of ground bean and sweet potato flours from 7.53-8.03%, 9.06-14.52%, 3.12-4.68%, 3.42-5.15% and 2.41-3.04, respectively, while the carbohydrate and energy contents decreased from 74.46-64.58% and 362.16-358.52 KJ/100 g, respectively. The mineral composition of the bread samples also increased significantly (p<0.05) with increase in substitution of ground bean and sweet potato flours from 76.32-102.33 mg/100 g (calcium), 86.33-106.76 mg/100 g (potassium), 43.17-70.79 mg / 100 g (phosphorus), 92.14-112.15 mg / 100 g (magnesium), 1.52-2.05 mg / 100 g (iron) and 2.13-2.98 mg/100 g (zinc), respectively. The thiamine, riboflavin, niacin, ascorbic acid, vitamin A and vitamin E contents of the bread samples increased significantly (p<0.05) with increase in the addition of ground bean and sweet potato flours from 42.17-59.19 mg/100 g, 62.31-80.69 mg/100 g, 24.15-47.57 mg/100 g, 12.15-12.15-12.73 mg/100 g, 18.32-47.33 mg/100 g and 15.31-43.67 mg/100 g, respectively. The physical properties (loaf volume, loaf height, loaf weight, oven spring and specific loaf volume) of the bread samples decreased significantly (p<0.05) with corresponding increase in the addition of ground bean and sweet potato flours from 310.21-115.41 cm3, 6.82-3.84 cm; 410.21-246.31g, 458.15-407.94 cm and 0.76-0.26 cm3/g, respectively. The sensory properties of the samples showed that the control sample (100% wheat flour bread) was the most acceptable to the panelists and also differed significantly (p<0.05) from the composite flour breads in colour, texture, taste and flavour. Although the 100% wheat flour bread (control) had better sensory and physical properties, it had the least values in nutrient contents compared to the composite flour bread loaves. However, the study showed that the nutrient contents of wheat flour breads could be improved by enriching wheat flour with ground bean and sweet potato flours at the levels of 5-25% and 5-25%, respectively in the production of bread loaves.

Okechukwu obed chukwuemeka

Introduction: Augmented Reality (AR) technology is increasingly recognized for its potential to enhance various aspects of dental practice, including treatment planning, patient education, and training. Despite this potential, the understanding of dental professionals' knowledge, attitudes, and practices regarding AR technology remains underexplored. The objective of this research is to examine the experience, perceived advantages, and real application of augmented reality (AR) Technologies of dental faculty and students. Methodology: A sample of 132 dental students, some integrated into the workforce as part-time private dentists, and faculty members of a single dental school, completed a self-administered online survey. Knowledge and application of AR technology in dentistry, and Experience with AR practice, were the constructs of the study. An administered questionnaire, partially digital and partially paper and pencil, was divided into two parts: Knowledge Assessment and Practice Assessment. The survey results were analyzed using reference statistics. Results: Knowledge Assessment respondents confirmed understanding Augmented Reality (AR) technology (69.7), and AR technology in dental training/education was recognized (65.9). 57.6% of the participants in the Practice Assessment declared absence of AR in their educational and/or professional practice, but an AR technology practice was wanted (67.4). The self-rated proficiencies that 44.47% of the respondents professed were in the range of self-score 3 in the application of AR (moderate). A small fraction (16.7) declared their AR application self-score was above the higher order. Conclusion: It can be concluded from this work that AR technology in academic and practical dentistry is vastly underutilized, notwithstanding the high realization and appreciation for its application.

Oral sphere journal of dental and health sciences

Brushites are the most commonly found phosphate stones in the kidneys, ureters and urinary bladder. The study was conducted to observe the possible growth patterns of brushite crystals in the gel for 14 days. The crystal formation was observed as a bullet, needle, platy, columnar shaped and their aggregates. Magono and Lee's meteorological classification further explained these shapes. Besides the morphology, the average size, number and weight of crystals were also observed on the 7th and 14th days. Energy Dispersive X-ray, Fourier Transform Infra Red spectroscopy and Scanning Electron Microscopy were used to characterize the crystals. These results can help to determine the promotion, modulation and inhibition of the crystals, which will be helpful in evaluating the risk factors and prophylactic management of brushite-type urinary stones.

Dr. salman ahmed

Background: Glaucoma is a group of disorders that can lead to irreversible vision loss if untreated. It affects individuals across all ages, genders, and ethnicities, with intraocular pressure (IOP) being the only modifiable risk factor. Regional studies highlight variations in the prevalence of glaucoma subtypes, underscoring the need for population-specific data to guide effective prevention and treatment efforts. This study aimed to explore the clinical characteristics and patterns of glaucoma patients in a tertiary care setting in Bangladesh. Methods: This was a hospital-based cross-sectional study, conducted from January to December 2023 at the Glaucoma Department of Deep Eye Care Foundation. A total of 2,172 individuals aged 20 years and above were conveniently selected as the study population. After explaining the study objectives, written informed consent was obtained from all participants. Ethical approval was obtained from the institutional review board of the Deep Eye Care Foundation. Data analysis was performed using the Statistical Package for Social Sciences (SPSS), with a P-value of less than 0.05 considered statistically significant. Results: The study population predominantly consisted of middle-aged and older adults, with a slightly higher proportion of females than males. Most participants were housewives, followed by farmers. A majority resided in rural areas rather than urban, and only a negligible number reported a family history of glaucoma. More than half of the patients presented with reduced visual acuity. The average IOP was nearly similar in both eyes. Most cases showed bilateral involvement of glaucoma. The predominant types of glaucoma were primary angle-closure suspects (PACS) and primary open-angle glaucoma (POAG). The main treatment approaches included beta-blockers and laser peripheral iridotomy, while a notable proportion of patients were kept under observation. Conclusions: Bilateral involvement and reduced visual acuity were common, with PACS and POAG being the predominant subtypes. This study offers unique insights into the demographic and clinical profile of glaucoma in rural communities, emphasizing the need for communitybased screening, gender-sensitive eye care, and early detection to reduce visual disability.

Karishma

Undergraduate students’ attitudes towards Artificial Intelligence (AI) in developing countries like Vietnam are rarely explored despite AI’s increasing presence in higher education. This study aims to investigate the attitudes of undergraduate students towards AI. A quantitative research method was used, involving a self-reported survey questionnaire. The sample consisted of 460 undergraduate students (196 males and 264 females) from five public and private universities in Ho Chi Minh City, Vietnam. Data collection took place through a cross-sectional survey in November and December 2023. The General Attitudes Towards Artificial Intelligence Scale (GAAIS), originally developed and validated in English by Schepman and Rodway (2020), was adapted to Vietnamese for this study. The scale comprised 20 items to evaluate students’ attitudes towards AI. Data analysis included descriptive statistics, Cronbach’s alpha coefficient, t-tests, and one-way Analysis of Variance (ANOVA). The results indicated a Cronbach’s Alpha value of 0.705 for the total variable, demonstrating acceptable reliability. Consequently, Vietnamese undergraduate students displayed moderately positive attitudes towards AI. The findings also revealed no significant difference in attitudes based on gender, but there was a notable variation based on the student’s year of study at university.

Le minh tien

Dietary fatty acid composition in broiler influences carcass quality by altering fat deposition and fatty acid profile. Thus, the study was carried out to evaluate the effect of incorporation of rapeseed oil in broiler ration on omega-3 fatty acid concentration of carcass and its traits in broiler chicken. A total of 160 day-old straight run broilers (Vencobb 400) were randomly divided into four treatment groups (G1, G2, G3 and G4) having four replicates of ten chicks each. The basal diets (G1) were prepared to meet BIS (2007) nutrient requirements with palm oil at 1.5, 3, and 4.5 per cent in pre-starter, starter and finisher diets, respectively. The experimental diets were broiler rations prepared with rapeseed oil replacing 25, 50 and 100 per cent of palm oil in G2, G3 and G4 diets, respectively. The diets were fed ad libitum till 6 weeks of age. Six birds from each group were randomly selected and slaughtered on 42nd day to study omega-3 fatty acid concentration of carcass and its characteristics. The crude fat content of breast and thigh muscle was significantly (P<0.05) reduced in the group fed rapeseed oil included diets. However, carcass yield, processing yield and meat to bone ratio of cut up parts was not significantly affected. The colour and pH of breast and thigh muscles were similar among the treatment groups. Omega- 3 fatty acid concentration was significantly (P<0.01) increased in both breast and thigh muscle of G4 group broilers compared to G1 group. Thus, rapeseed oil inclusion in diet significantly increased omega-3 fatty acid concentration and significantly reduced crude fat concentration breast and thigh muscles with no effect on the carcass yield and its quality when included in the diet replacing palm oil at different proportion

Senthil murugan

In this paper, we attempted to review the soil erosion studies conducted throughout the globe using Revised Universal Soil Loss Equation (RUSLE). We searched the SCI, Scopus, Web of Science, Google Scholar database and various theses for this study. Though RUSLE is the most widely used model for estimation of soil erosion, the factors, namely rainfall erosivity, soil erodibility, slope length and steepness, cover management and conservation practice; vary greatly over different climatic zones, soil properties, slope, land cover and crop phase, respectively. Depending upon those variations, researchers have developed various sets of equations for different factors of RUSLE. These equations can be useful to map soil loss for many places on this planet.

Kaushik ghosal

Pod sucking bugs are the key impediments for the low productivity in India. Nymphs and adults of tur pod bug, Clavigralla gibbose (Spinola) suck the cell sap from the pods and cause loss of the grain. Because of its high fecundity and wide host adaptability, it is necessary to check its damage potential. For this purpose, an experiment on bioefficacy of insecticides against this insect was conducted in the laboratory-cum-field conditions on cultivar “Paras” during kharif season 2010-11, 2011-12 and 2012-13. Eight insecticides viz., endosulfan 35EC, monocrotophos 36SL, chlorpyriphos 20EC, quinalphos 25EC, triazophos 40EC, decamethrin 2.8EC, fenvalerate 20EC and cypermethrin 25EC were selected based on their LC50 values against this insect. Among the tested insecticides, cypermethrin proved most toxic (63.94 times) against adults of C. gibbosa followed by decamethrin. Quick knock down effect of decamethrin and fenvalerate was recorded in the field conditions. Therefore, the combinations of decamethrin and quinalphos with DDVP (76 EC) were also tested under field conditions. Cypermethrin, decamethrin plus DDVP, decamethrin and monocrotophos were found effective in managing the C. gibbose population upto 10 days after application. None of the insecticides could manage the bug population below ETL after 14 days of their application. Application of cypermethrin @ 188 mL ha-1 recorded the highest grain yield, highest net monetary returns and highest incremental cost benefit ratio, followed by decamethrin, fenvalerate and monocrotophos. Either of dimethoate or oxydemeton methyl could also manage the bug population

Dr. babu lal jat

Forecasting methods from averaging regression analysis lines, reversed and direct lines. With both lines intercepting laid the turning points in direction of original line. The average regression method.

Dr abdul rahim wong