Optimizing forging process production to product waste controlling methods analyses.

In these researched analyses of different forging product for controlling the forging waste in forging process. In forging process forging waste are carry with forging operation which identify by parting line of products. Parting which defines the product upper and lower die meshing area. Those extra material are used in forging operation which goes to out side of die that material is called as waste of forging. The foraging waste are not use for further any product manufacturing process for their hardness. There for such waste are to controlled for increasing the product utilization any minimising the production cost. In that paper we concentrate to minimizing waste of forging by amylases of different products.

Vijay jadhav

Comparing machine learning classification models on a loan approval prediction dataset

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 Ladislav végh

Enhancing postoperative pain control: the role of multimodal analgesia

Purpose of review: This narrative review aims to assess the effectiveness of multimodal analgesia protocols (MAPs) in managing postoperative pain and reducing opioid consumption. The review evaluates the safety profile of MAPs, identifies the most effective components for different surgical contexts, and discusses their broader applicability in clinical practice. Given the growing concerns around opioid use, the focus is on alternative strategies that can offer comparable or superior pain relief with fewer side effects. Recent findings: Recent studies have demonstrated that MAPs, which combine various pharmacological and non-pharmacological methods, significantly reduce postoperative pain intensity and opioid use. These protocols show superiority over traditional opioid-centric approaches without increasing adverse events like nausea and respiratory depression. Incorporating regional anesthesia, nonsteroidal anti-inflammatory drugs, and nerve blocks has enhanced recovery, minimized complications, and improved patient outcomes. Furthermore, MAPs can be tailored to specific surgical settings, with combinations of medications like ketamine, acetaminophen, and dexamethasone proving effective in different clinical scenarios. Summary: Multimodal analgesia offers a viable approach to optimize postoperative pain management, reducing opioid-related risks and improving recovery outcomes. By utilizing the synergistic effects of different pain relief modalities, MAPs can achieve better pain control while minimizing opioid consumption. The review underscores the need for the broader adoption of MAPs and further research to refine these protocols, aiming for long-term improvements in surgical care and patient experiences

Karishma Karishma

K₂edta versus k₃edta stability in yemeni laboratories: toward climate-adapted protocols for resource-limited settings

Background: Preanalytical variability due to anticoagulant choice remains inadequately characterized in resource-limited tropical settings like Yemen, where environmental stressors exacerbate challenges. This study aimed to compare the stability and cost-effectiveness of K₂EDTA and K₃EDTA anticoagulants for complete blood count testing under simulated Yemeni conditions. Methods: Prospective study of 100 healthy adult male volunteers in Ad’Dla Governorate, Yemen (January–March 2025). Paired samples in K₂EDTA/K₃EDTA tubes were analyzed at baseline (T0) and after 6-hour storage at 22 ± 2°C (T6). Statistical analysis included Bonferroni-corrected repeated-measures ANOVA and paired t-tests. Results: Fresh samples showed high inter-anticoagulant concordance (ICC > 0.90). After 6-hour storage, K₂EDTA exhibited significant Mean Corpuscular Volume (MCV) reduction (Δ = −2.33 fL, p < 0 xss=removed xss=removed xss=removed> 2 hours), while K₃EDTA is preferable for immediate analysis. These findings provide preliminary guidance for hematology testing in Yemeni laboratories and similar tropical settings, pending validation in diverse populations and extreme conditions.

Karishma Karishma

Anti-emetic activity of cleome brachycarpa vahl ., and cleome viscosa l., (leaves) in chicks

Cleome brachycarpa Vahl . and Cleome viscosa L. were evaluated for anti-emetic activity in the copper sulfate-induced chick emesis model. Emesis was induced by copper sulfate (50 mg/kg), and the methanolic extracts of leaves were tested orally at a dose of 150 mg/kg. Chlorpromazine (150mg/kg orally) was used as standard anti-emetic drug. The anti-emetic activity was determined by calculating the mean decrease in the number of retching as compared with the control. Cleome brachycarpa and Cleome viscosa showed comparable anti-emetic activity with chlorpromazine.Cleome brachycarpa Vahl ., and Cleome viscosa L., leaves extract in a dose of 150 mg/kg body weight., reduced the numbers of retches by 57.57% and 43.06%. Cleome brachycarpa significantly (**P<0.005) reduced the number of retches. The group of chicks treated with chlorpromazine had 45 retches compared to the 71 retches of the control group, thus chlorpromazine reduced the retches by 36.99%. From the results, it is clear that Cleome brachycarpa Vahl. and Cleome viscosa L. leaves extracts have antiemetic potential and are comparable with standard chlorpromazine. Although the result is significant the mode of action is not known. Antiemetic activity by using copper sulfate proposed 5-HT3, 5-HT4, or NK1 receptor antagonism. Therefore, the extracts effectively prevented its effect and had a peripheral anti-emetic action. As mentioned earlier, triterpenoids such as brachycarpone, deacetoxybrachycarpone, cabralealactone and ursolic acid are reported from Cleome brachycarpa6, whereas flavonoids are reported from Cleome viscosa. Flavonoids and triterpenoids possess anti-emetic properties18. So, if flavonoids and triterpenoids are present in the studied extracts, the observed anti-emetic effects may be due to flavonoids and triterpenoids. The present study is on the preliminary level, and further investigation is required to confirm the anti-emetic effect of Cleome brachycarpa Vahl ., and Cleome viscosa L. leaves and determine the compounds responsible for this activity with their possible mode of action.

Dr. Salman Ahmed Dr. salman ahmed

The implementation of total quality management (tqm) in the hotel industry

This study sets out to explore the Critical Success Factors (CSFs) necessary for Total Quality Management (TQM) implementation in hotels. It also aims to classify participating hotels into groups based on their TQM adoption by using cluster analysis. A quantitative survey method was applied. Data were collected from a sample of managers from four- and five-star hotels in Jordan, 170 questionnaires were distributed to managers and 104 usable questionnaires were returned. The findings revealed that TQM is existed and implemented in the hotel industry. The researcher then confirmed that four- and five-star hotels can be classified into two groups, namely, “high TQM adopters” and “low TQM adopters”.

Mukhles m. al-ababneh

The mechanistic insight of polyphenols in calcium oxalate urolithiasis mitigation

About 12% of the world's population is affected by different forms of urolithiasis, of which the recurrence rate in females is 47–60% and in males is 70–80%. Standard therapeutic agents (allopurinol, citrate, cystone and thiazide diuretics) prevent and treat urolithiasis. Still, these are not universally-effective due to common kidney stone relapse and other side effects. Surgical treatment causes long-term renal damage, hypertension and stone recurrence. Polyphenols, the plant-derived bioactive molecules, have showed protection against cancers, cardiovascular diseases, diabetes, osteoporosis and neurodegenerative diseases, among several other ailments. The role of these phytochemicals in urolithiasis management is emerging. Hence, the present review discusses peer-reviewed published literature to date on this aspect and highlights that polyphenols could effectively inhibit the formation of calcium oxalate urinary stones (most common renal stone), correlating with their antioxidant, anti-inflammatory, diuretic and angiotensin-converting enzyme (ACE) inhibition. Further, we have proposed the prospects and challenges in developing plant polyphenols into drugs against kidney stone prevention. This review might be a stepping stone for further investigation into the clinical implications of polyphenols in urolithiasis remediation.

Dr. Salman Ahmed Dr. salman ahmed

The roles of stethoscopes and sphygmomanometers in hospital-acquired infections: a case study of some district hospitals in enugu state, southeast nigeria

Background: Hospital acquired infections (HAIs) are infections that patients acquire while receiving treatments for other conditions. Studies have shown that stethoscopes and sphygmomanometers can act as potential sources of these infections in patients accessing treatment in healthcare facilities. This study aimed to increase awareness among health workers in Nigeria of the potentials of stethoscopes and sphygmomanometers to transmit HAIs. Methods: Moist swab sticks were used to collect samples from 38 randomly selected stethoscopes and sphygmomanometers from some departments of four district hospitals. Collected samples were cultured using standard microbiological techniques. In addition, self-designed questionnaire was used to assess the knowledge and practice of doctors and nurses on the roles of stethoscopes and sphygmomanometers in HAIs. Results: About 83.8% of the health workers demonstrated some awareness of the roles of stethoscopes and sphygmomanometers in HAIs. 42.5% cleaned their stethoscopes, while 5% their sphygmomanometers. Staphylococcus aureus, (65.9% of stethoscopes), proteus mirabilis, Pseudomonas aeruginosa (67.6% of sphygmomanometers), Streptococcus and Coliform species were isolated. There was no significant difference between the contamination of stethoscopes and sphygmomanometers by the isolates, except for Pseudomonas aeruginosa (t=3.49, p=0.04). Conclusions: Awareness did not match practice in cleaning the stethoscopes and sphygmomanometers in the four facilities. Staphylococcus aureus and Pseudomonas aeruginosa were the two most common organisms isolated with a significant difference (t=3.49, p=0.04) between stethoscopes and sphygmomanometers in isolation of Pseudomonas aeruginosa. To curb HAIs, health workers need to improve on their practice of cleaning stethoscopes and sphygmomanometers.

Emmanuel umegbolu

Antiurolithiatic plants of family fabaceae: a memoir of mechanism of action, therapeutic spectrum, formulations with doses

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 Dr. salman ahmed

Comparative analysis of machine learning classification models in predicting cardiovascular disease

For a long time, cardiovascular diseases have been the leading cause of death worldwide. Machine learning has found significant usage in the medical field as it can find patterns in data. Classification models can help cardiologists to diagnose heart diseases and minimize misdiagnosis accurately. In this paper, we explored a dataset related to heart disease and compared the accuracy of 43 machine learning classification models. The dataset for this research was downloaded from Kaggle; it contained 1190 observations, 11 features (age, sex, chest pain type, resting blood pressure, serum cholesterol, fasting blood sugar, resting electrocardiogram results, maximum heart rate achieved, exercise induced angina, oldpeak, the slope of the peak exercise ST segment) and a binary target variable (no heart disease or observed cardiovascular disease). For data exploration, preprocessing, training, testing, and predictor importance analysis, we used MATLAB R2004a software and the Classification Learner app included in this software. Before training machine learning classification models, we divided the dataset into a training set (90% of observations) and a test set (10% of observations). To prevent overfitting during the training of classification models, 10-fold cross-validation was used. The result showed that the best accuracy was reached with an optimized ensemble classification model (validation accuracy: 0.9262 and test accuracy: 0.9580). After calculating the permutation importance of each feature, we observed that the most important feature among all 11 features was the slope of the peak exercise ST segment.

Ladislav Végh Ladislav végh

The rise of patanjali

This case is designed to highlight the marketing strategies adopted by a new entrant in the fast-moving consumer goods (FMCG) sector. The importance of brand architecture in building brand relevance in this competitive environment and enhancing customer loyalty has been put forth as illustrated by the experts. The synchronization of branding strategies and marketing communications in terms of establishing a customer connect purely on the basis of nationalism, price, and natural preparations have been highlighted from the perspective of Patanjali’s growth strategy. The brand has been envied by all the big players of the sector for proving itself as the major disruptor being portrayed in terms of its voluminous sales and ever-rising revenues. This case on Patanjali offers an insight into the strategies followed by a new company to position the brand at the right time and acquire a substantial market share. It also highlights the facts that exceptional competitiveness in distribution strategies may not be the only determinant for effective management of distribution strategies, and the road ahead needs to be rightly sorted out. This case also tries to unlock the path that determines the success the brand Patanjali has achieved which otherwise took decades for Nestle, Proctor & Gamble, ITC, or Unilever to achieve.

Dr. neena prasad

A mathematical approach for formulation of generalized field data based model for productivity enhancement of cylinder head moulding operation

In this paper, an approach for formulation of generalized field data based model for cylinder head moulding operation. The aim of field data based modeling for cylinder head moulding operation is to improve the output by correcting or modifying the inputs. The goal of the research is to reduce human energy input required while performing cylinder head moulding operation. With the reduction in human energy input, automatically, the productivity of the process will also increase. The study identifies important ergonomic and other work environment related parameters which affect productivity. The identified parameters are properties of sand, physical dimensions of tools, energy outflow of workers, anthropometric data of the workers, working conditions like relative humidity, ambient temperature. Out of all the variables, responses and causes are identified. After dimensional analysis relationship between the dependent and independent parameters, a mathematical model is established having a relationship between output parameters and input. To get the optimized values model is optimized using the optimization technique. Sensitivity analysis is a tool which can be used to find out the effect of input one parameter over the other. The model will be useful for an industrialist to select optimized inputs so as to get targeted responses.

Rahul bachute

The media revival of evangelical seduction in cameroon

Our research is a contribution to the analysis of emergent practices in the mediatization of the Gospel. It mobilizes an intercultural approach of the appropriation of the TIC by social actors at ends of proselytism and propaganda. The mobilized problem is that of the seduction in the media revival of the neo-pentecostal leaders. By supporting us on an observation of the practices of the TVevangelism in Cameroon, we analyze the emergent social uses of the audio-usual mediums at ends of proselytism and propaganda. Our research reveals the interest to go beyond the deterministic analyses of the development of the TIC to propose an intercultural analysis which underlines the sociocultural contingency of the movement of emergence and development of the TIC. The aim is to propose an intercultural analysis which underlines the sociocultural contingency of the movement of emergence and development of the TIC in Africa.

Tedongmo Teko Tedongmo teko

Focus groups

A focus group is an investigative tool for social research based on a structured and focused discussion with a small group of people, run by a facilitator (moderator) to generate qualitative data through a set of open-ended questions. The focus group technique is a qualitative research methodology popularly used in social research in a wide range of sectors. A researcher uses a set of open-ended questions on a specific topic to generate qualitative data. The focus group is an efficient way of gathering data about particular opinions or attitudes by covering a large number of people in the same group. This entry explores the methodology and processes of focus groups as well as the analysis of data from focus group research.

Mukhles m. al-ababneh

A study of beliefs of teacher educators about relationship between teaching and research

The purpose of this study is to explore the belief of teacher educators about the relationship between teaching and research. Keeping in view the role of the teacher educators, a survey was done. The beliefs of teacher educators were explored with the help of an opinionaire. The collected data were analyzed through qualitative method of analysis. It was found that the secondary teacher educators were positive about the need of research with a little dilemma between teaching and research.

Rupal Mankad Rupal mankad

The role of hepatitis b virus biomarkers for diagnosing the progression of disease

To the editor, Hepatitis B virus (HBV) infection remains a global public health concern, with over 296 million chronic carriers worldwide and an estimated 820,000 deaths annually due to HBV-related complications such as cirrhosis and hepatocellular carcinoma (HCC). [1] While serological markers like hepatitis B surface antigen (HBsAg) and hepatitis B e antigen (HBeAg) have long been used in diagnosis and monitoring, emerging research has revealed the value of novel biomarkers in assessing disease progression, predicting treatment response, and guiding personalized care strategies.

Karishma Karishma

Essential minerals and phytic acid in legumes with reference to their nutritive and medicinal properties

Three commonly used legumes, Macrotyloma uniflorum (Lam.) Verdc., Phaseolus lunatus Linn., and Phaseolus vulgaris Linn. were subjected to determine their minerals and phytic acid contents to correlate their nutritional and medicinal properties. The atomic absorption spectroscopic method was used to quantify essential minerals, while the spectrophotometric method was used for phytic acid estimation. Fe, Mg, Mn, P and Zn were recorded in reasonable quantities, Ca and Cu in moderate, and K in small amounts in the seed flours of all the three tested legumes. Maximum Fe and Zn content (0.38 and 0.40 mg/g) were recorded in P. vulgaris, while M. uniflorum delivered high content of Mg, Mn, P and Ca (0.21, 0.20, 77.94 and 0.04 mg/g) and 0.04 mg/g Cu was recorded in P. lunatus. The highest level of phytic acid (37.00 mg/g) was recorded in M. uniflorum at 519 nm. The estimated quantities of minerals and phytic acid provide an excellent opportunity to conclude that all three tested legumes could be used as food to achieve nutritional and health-related functional benefits.

Dr. Salman Ahmed Dr. salman ahmed

The concept of creativity: definitions and theories

Creativity is regarded as one of the most complex of human behaviors. It can be influenced by a wide array of social, developmental and educational experience that leads to creativity in different ways in a variety of fields (Runco & Sakamoto, 1999). Opinions about the origin of creativity vary, and none of them explains the creative process completely. Creativity can be seen as the following: a divine quality, serendipitous activity, ‘planned luck’, endurance and ‘method’ (Cook, 1998a: p.6). Petrowski (2000: p.305) stated that “creativity research belongs to the baby-boom generation, beginning in earnest when Guilford directed the American Psychological Association in his 1950 presidential address to focus on this important but neglected area”. The existence of creativity as a modern term emerged from the results of the pioneering efforts of Guilford (1950) and Torrance (1962, 1974). Guilford and Torrance were psychometric theorists and they attempted to measure creativity from a psychometric viewpoint (Sternberg, 2006).

Mukhles m. al-ababneh

Optimum decimation and filtering for reconfigurable sigma delta adc

The Sigma Delta Analog to Digital Converter (SD-ADC) with passive analog components is presented. The digital blocks required for creating the samples with required sample rate and word length from the 1 bit ADC output are presented. The digital filters are initially modeled in MATLAB Simulink and validated in frequency domain. Further they are synthesized to Xilinx Spartan-6 FPGA technology. The synthesis results report clock speeds up to 300MHz. The simulation results are used to validate the principle and verify the performance of SD-ADC. The results demonstrate a promising technology area of realizing SD-ADC as a reconfigurable block on FPGA to meet several signal processing applications with sampling rates up to few hundreds of KHz

P.a. harsha vardhini

Assessment of heavy metals in eggplant fruit from urban and rural areas of bangladesh

Dietary intake of contaminated food with heavy metals may cause severe risk for the human health. Heavy metals affect adversely a human health. The current study assessed the concentrations of heavy metals including Cu, Zn, Pb and Ni in eggplant (Solanum melongena L.) of urban and rural areas in Bangladesh. The experimental samples of fresh eggplant fruits were collected from six local markets in Jashore, Bangladesh, and the tissues were extracted with nitric acid and hydrogen peroxide. Trace elements in eggplant fruits were estimated with atomic absorption spectrophotometer. Obtained result show that Heavy metal concentrations were high in the urban areas compared to rural areas. Heavy metals in the eggplant fruits of rural and urban areas were: Pb (2.74-18.64), Cu (10.20-67.16), Ni (46.63-148.46), and Zn (86.65-148.73) mg.kg-1 respectively. The concentrations of Pb, Ni and Zn in eggplant were at an excess of safe limits according to the Food and Agriculture and World Health Organizations. While, Cu was lower than the maximum safe limit. The present study concluded that growing eggplants in Jashore areas are heavily contaminated with Pb, Ni and Zn that would be hazardous for consumer’s health. The result of this study will be beneficial for the agricultural policy makers in Bangladesh to take appropriate action and reduce the heavy metal toxicity among fresh food products.

Arafat Hassan Razon Arafat hassan razon

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