This research article focuses on addressing the challenges associated with joining dissimilar metals through the application of solid-state welding techniques, specifically Friction Welding (FW). The study aims to develop optimal welding conditions, tools, and parameters for achieving a successful Aluminum–Steel (Al–Fe) butt joint. The resulting weld is extensively characterized through mechanical tests, microstructure analysis, and micro hardness measurements. Additionally, finite element analysis is conducted to simulate the behaviour of the prototype engine valve. The findings provide valuable insights into the feasibility and performance of friction welding for dissimilar metal joints, contributing to the further development and understanding of this welding technique.
Simply put, advertising is an important marketing strategy that works in conjunction with information and persuasion channels. Every single person is exposed to commercials on a daily basis. They've become an inseparable part of the print medium, whether it's newspapers or magazines, over time. This is also true in the case of broadcast media, where ad-commercials predominate. The Indian advertising industry has grown tremendously from a small business to a full-fledged industry. The purpose of this study is to determine the advertising attractions and the influence they have on Indian culture. Advertisements in India are not only used to sell products. It sells dreams, visions, and the ideal way of life, while also reinforcing stereotyped values. The longer an individual is exposed to an advertisement, the more likely it is that it will effect them. The appeals' goal is to change how people think about themselves and how they decide whether or not to buy certain things will benefit them. Because India has such a large population and cultural diversity, the advertising industry has created a wide range of advertisements to capture people's attention and persuade them to buy products. The appeals are written in such a way that they have an impact on people's purchasing decisions.
Coronaviruses are closely related virus causing several types of respiratory tract infections ranging from common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and severe acute respiratory syndrome (SARS). There are many other ways in which Covid-19 will impact the existing public health issues. With the rising number of covid19 cases, it has been reported that people with the weaker immune system are at higher risk. We identified the mechanism of action of cyclophosphamide and its impact on the lung. Pulmonary side effects associated with cyclophosphamide are rare and dose-related. They manifest as early-onset pneumonitis, in patients with symptoms especially like cough and dyspnea. Acrolein in cyclophosphamide is the main component linked with the toxic effect. We hypothesize that use of cyclophosphamide, an antineoplastic agent and immunosuppressive agent used in treating many cancers and autoimmune disorders (like rheumatoid arthritis and ANCA vasculitis), induces severe lung toxicity which can be one of the contributing factors for the increased risk of COVID 19 complication. These factors are to be recognized to improve prevention and control of the disease.
This study aims to determine the functional literacy acquisition of Alternative Learning System learners and make a sound basis for strategic planning and pedagogical intervention that will help promote and develop the said program. The descriptive-evaluative method of research was used in the study. The descriptive method was used to identify the respondents' profile based on (a) age, (b) gender, (c) civil status, and (d) employment status. The evaluative method was used to determine the respondents' functional literacy acquisition in (a) communication skills, (b) scientific and critical thinking skills, (c) mathematical and problem solving skills, (d) life and career skills, (e) understanding the self and society, and (f) digital citizenship (formerly digital literacy). Frequency Count and Percentage Technique was used to describe the functional literacy acquisition of the respondents. Meanwhile, a modified survey questionnaire based on the functional literacy, education and mass media survey ("National Profile of Adult Literacy and Numeracy Skills," 2004, p. 91) was used as the primary tool to gather the data. The respondents in this study were the students enrolled in ALS-Sipocot (North and South District), the school year 2019-2020. Due to COVID restrictions, other ALS learners from other municipalities were not covered as part of the study. Findings revealed that ALS learners do not yet manifest the complete acquisition of functional literacy needed to face the globalized world's challenges because their attainment of the required functional literacy skills is generally low. Moreover, the study disclosed that sex, age, civil status, and employment status affect the acquisition of functional literacy skills among ALS learners in Sipocot, Camarines Sur. Based on the results, the researcher developed an extension activity to help the ALS learners improve their functional literacy, particularly in the digital citizenship area, where they got the lowest score.
The wet coating of anhydrous borax powders with stearic acid (SA) to reverse their inherent hydrophilic surface properties was investigated. The coating procedure was based on the results from a previous study that revealed that the stearic acid solution (2 wt. % SA) mixed for 60 minute at 750 rpm on the magnetic stirrer was sufficient for the surface modification of anhydrous borax. For the experiments, stearic acid powders were first dissolved in water at 80 °C. The mixture obtained by adding anhydrous borax powders to this solution was vigorously mixed on a magnetic stirrer to initiation and completion the surface modification. Each of these solutions was then filtered using a filter paper to separate the undissolved particles, and the residue on paper was dried at 50 °C for 48 h until constant weighing was obtained. Wettability has been accepted as a key parameter for success in wet coating treatment. This parameter gained via the experimental characterization technique was used for an evaluation of the powder properties. The degree of wettability of anhydrous borax powders was measured and compared both after their surfaces were coated with stearic acid and after they were treated with water for a certain period of time in an aqueous environment. The stearic acid coating made the powder hydrophobic and this property was highly preserved after washing.
Sexuality is a subject to be discussed without shying-away. This essay, discusses about how sexuality of a certain minority people in India and across borders, are being perceived by people in various countries and the consequences faced by the people whose sexuality seems deviant i.e. the sexual minorities from the majority . This essay provides illustrations in the form of research done by various sources that provides such evidences that paint a different picture of the sexual minorities viz. Lesbian, Gay, Bisexual, Transgender, Intersex and Queer (LGBTIQ) people in India and across the world aiming at eliminating the prejudice against them.
The ability of antimicrobial peptides (AMPs) for effective binding to multiple target microbes has drawn lots of attention as an alternative to antibodies for detecting whole bacteria. We investigated pathogenic Escherichia coli (E. coli) detection by applying a microfluidic based biosensing device embedded with AMP-labeled beads. According to a new channel design, our device is reusable by the repeated operation of detection and regeneration modes, and the binding rate is more enhanced due to even distribution of the bacterial suspension inside the chamber by implementing influx side channels. We observed higher binding affinity of pathogenic E. coli O157:H7 for AMP-labeled beads than nonpathogenic E. coli DH5α, and the fluorescence intensity of pathogenic E. coli was about 3.4 times higher than the nonpathogenic one. The flow rate of bacterial suspension should be applied above a certain level for stronger binding and rapid detection by attaining a saturation level of detection within a short time of less than 20 min. A possible improvement in the limit of detection in the level of 10 cells per mL for E. coli O157:H7 implies that the AMP-labeled beads have high potential for the sensitive detection of pathogenic E. coli at an appropriate flow rate.
Rasa shastra is aPharmaco – therapeutic branch of Ayurved, incorporates many of the Herbo– mineral – metallic pharmaceutical preparations prepared out of the Parada namely KhalviyaRasayana, ParpatiRasayana, PottaliRasayanaandKupipakwaRasayana.Rasaushadhis are important for their uniqueness in Ayurvedic therapeutics due to lesser doses. KharaliyaRasayanais used in wide range for therapeutic utility and is easy for preparation. Icchabhedi Rasa is one such kharaliyaherbo-mineral formulation mentioned in various Ayurvedic text. Icchabhedi Rasa is a classical preparation commonly used for Virechana. Icchabhedi Rasa is described in various classical texts with some variation of ingredients. Jayapalais the chief ingredient of the preparation having Katu Rasa, UshnaVirya and KatuVipaka. It is well known for its strong purgative action. Though variation is observed in thedescription of these KharaliyaRasayana and compilation of these will help to study in comparative manner.AYU
Diabetes mellitus (DM) is considered as ”the mother of all diseases" because it causes many complications. Knowing and measuring medication adherence may have a greater effect on DM patients. Several studies in Indonesia used a questionnaire scale to measure adherence, however they do not validate the study population, so it could still be found anomalous correlation analysis between adherence and clinical data even though it measured in the same country and scale. This study measure the adherence level of type 2 diabetes patients, evaluates the validity of the medication adherence scale, and analyze the correlation with the clinical outcome of type 2 diabetes patients in four health centers in Banyumas district. The study uses a cross-sectional design in Prolanis type 2 DM patients of January -April 2020. The adherence is measured by MARS-10, backward-forward translation method followed by content and internal validation. Clinical outcome is evaluated based on fasting blood glucose measurement. The results of the MARS-10 Gregory index analysis showed content validity in the high category (IG ≥ 0.8). The content validity showed the results of 9 questions with the value of r count> r table (n = 30, r table = 0.361). Reliability analysis showed Cronbach's Alpha 0.747> 0.6. The measurement showed 80.3% were adherent patients and 19.3% were non-adherent patients. Correlation analysis showed that there was no significant relationship (p> 0.05) between patient adherence and clinical outcome. Those results showed that type 2 diabetes mellitus patients in 4 health centers were categorized as adherent but not correlated with the clinical outcome. This was enabled due to the clinical outcome was simultaneously influenced by several factors: general factors, individual factors, and unpredictable factors.
Fetus-in-fetu represents an extremely unusual condition where a malformed parasitized twin with an organized vertebral column is present within the body of its host, leading to a variety of symptoms due to its mass effect. Its pathogenesis and features differ from both teratoma and fetiform teratoma. Detailed radiological evaluation helps in the assessment of the local anatomy and in planning the surgical procedure. The clinical features of a 9-month-old female with progressive abdominal distension and feeding difficulties are described. A firm, non-tender leftsided abdominal mass on palpation was found to be a well-defined encapsulated retroperitoneal lesion with bony structures resembling a vertebral axis on abdominal sonography and computed tomography. Surgical excision revealed an encapsulated mass containing rudimentary limb buds, hair, and partially developed vertebral elements. Histopathology confirmed the diagnosis of fetus in fetu. The postoperative course was uneventful, and the patient remained asymptomatic on follow-up.
Tomato is one of the most important vegetables worldwide. It is considered a mainstayof many countries’ economies. However, tomato crops are vulnerable to many diseasesthat lead to reducing or destroying production, and for this reason, early and accuratediagnosis of tomato diseases is very urgent. For this reason, many deep learning modelshave been developed to automate tomato leaf disease classification. Deep learning isfar superior to traditional machine learning with loads of data, but traditional machinelearning may outperform deep learning for limited training data. The authors proposea tomato leaf disease classification method by exploiting transfer learning and featuresconcatenation. The authors extract features using pre-trained kernels (weights) fromMobileNetV2 and NASNetMobile; then, they concatenate and reduce the dimensionalityof these features using kernel principal component analysis. Following that, they feedthese features into a conventional learning algorithm. The experimental results confirmthe effectiveness of concatenated features for boosting the performance of classifiers.The authors have evaluated the three most popular traditional machine learning classifiers,random forest, support vector machine, and multinomial logistic regression; amongthem, multinomial logistic regression achieved the best performance with an averageaccuracy of 97%.
To satisfy user expectations and resource needs, academic libraries are realizing more and more how important it is to integrate innovative technologies. Effective use of technology is essential to educational libraries' success. A thorough analysis finds new trends that university libraries are using to satisfy present demands. In the twenty-first century, libraries are becoming dynamic establishments that meet the changing demands of society. These consist of data literacy, digitization, and the incorporation of augmented and virtual reality technologies. Additionally, libraries are becoming community hubs for educational programs like seminars and lectures. Libraries are helping people navigate the immense ocean of information, and data literacy along with knowledge skills is essential. Services driven by AI are improving client experiences and expediting procedures. With libraries implementing eco-friendly architectural designs & community engagement tactics, sustainability projects are becoming more and more well-known. Libraries are responding to these shifts by creating creative solutions, including collaborations, environmental initiatives, and AI integration, all while overcoming financial limitations. To remain relevant, they are adopting cutting-edge strategies like AI-powered services, collaborations, sustainability, virtual and alternative reality technologies, open data initiatives, maker spaces, & creative labs. Libraries are implementing cutting-edge solutions to address a variety of community needs and encourage lifelong learning, despite obstacles such as limited financing, evolving librarian roles, privacy and security concerns, and adjusting to changing societal standards.
Potato starch extraction is a critical process with implications across various industries, including food, pharmaceuticals, and bioplastics. This review explores current techniques, challenges, and future opportunities in potato starch extraction. Traditional methods such as compression or wet grinding, enzymatic processes, and microwave-assisted extraction are examined for their efficiency, advantages, and limitations. The paper emphasizes the importance of quality control measures to ensure the purity and safety of the extracted starch. Critical quality control aspects include raw material inspection, monitoring during processing, purity and composition analysis, and adherence to national and international standards. Innovations in extraction methods, including enzymatic and green solvent extraction, ultrasonic and microwave-assisted techniques, and advancements in nanotechnology and biotechnological approaches, are highlighted as trends driving the industry towards greater sustainability and efficiency. The clean label movement also reflects a consumer-driven shift towards natural, minimally processed ingredients, influencing industry practices and regulatory compliance. The future of potato starch extraction holds significant promise, with the integration of sustainable practices and technological innovations to meet evolving market demands and regulatory standards, underscoring the need for continuous research and development in the field.
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.
Teaching and learning computer programming is challenging for many undergraduate first-year computer science students. During introductory programming courses, novice programmers need to learn some basic algorithms, gain algorithmic thinking, improve their logical and problem-solving thinking skills, and learn data types, data structures, and the syntax of the chosen programming language. In literature, we can find various methods of teaching programming that can motivate students and reduce students’ cognitive load during the learning process of computer programming, e.g., using robotic kits, microcontrollers, microworld environments, virtual worlds, serious games, interactive animations, and visualizations. In this paper, we focus mainly on algorithm visualizations, especially on the different models of data structures that can be effectively used in educational visualizations. First, we show how a vector (one-dimensional array), a matrix (two-dimensional array), a singly linked list, and a graph can be represented by various models. Next, we also demonstrate some examples of interactive educational algorithm animations for teaching and learning elementary algorithms and some sorting algorithms, e.g., swapping two variables, summing elements of the array, mirroring the array, searching the minimum or maximum of the array, searching the index of minimum or maximum of the array, sorting elements of the array using simple exchange sort, bubblesort, insertion sort, minsort, maxsort, quicksort, or mergesort. Finally, in the last part of the paper, we summarize our experiences in teaching algorithmization and computer programming using algorithm animations and visualizations and draw some conclusions.
Banks need finance to carry out their day to day activities smoothly. There will be times where the borrowers fail to repay the money leading a risk to the lenders. There are various types of risks faced by the banks such as financial and non-financial risk in the unstable environment. These risks may be a threat for the existence and achievements of banks. A Credit risk is the risk which arises when the borrower fails to make required payments. It is a huge loss to the lender where he loses both the principal and interest which leads to the interruption of the cash flows and increase in collection costs. Banks usually follow a certain framework while lending loans so that they can manage the credit risks. The main purpose of credit risk management is to find out how much credit should be provided to the borrowers and the different ways to collect the amount back. The success of banks depends on the formulation of the policies and procedures of lending the loans and collecting the amount back and avoid Non-Performing Assets (NPA) to the banks. When banks collect their debts systematically and avoid the Non- Performing Assets (NPA), they can survive in the competitive market. The study is focused on the comparison of two banks such as Canara Bank and Karnataka Bank with regard to loans, advances, interest received and expended and the variation in the levels of Non- Performing Assets. Methodology used is the secondary source of data where the balance sheet of the banks and the income and expenditure statement of the banks are being used to explore the credibility and the capacity of the banks in managing the credit risk.
The valuable effects of regular exercise for promotion of health and therapy of diseases were obviously evaluated. The notion that exercise can be considered as a medication has been hypothesized. The growing problems of obesity and non-communicable diseases have placed a great burden on public health experts to promote physical literacy and physical activity among the modern day population. Physical literacy and physical activity have become the cornerstones of women’s health. Women have certain special needs that includes reproductive health. Increased physical activity and maintaining normal body image and body weight will help a woman attain physical, mental and spiritual development. With the growing number of women with obesity and the implication of obesity as one of the main risk factors for non-communicable diseases like diabetes, hypertension, stroke and osteoarthritis, a knowledge and awareness about physical activity is essential. Thus, physical activity is a fundamental aspect of the improvement of motor skills and work performance, allowing a better healthy lifestyle. Physical exercise is effective to be measured as a drug, however, more care should be considered to the dosing and individual variations between genders.
Mediterranean journal of pharmacy and pharmaceutical sciences
One of the most common situations in the management process is problematic situations or conflicts, where each complex situation or conflict has unique consequences, and neglect to find the best way out of such situations put the leader in a more difficult situation. Especially at a time while COVID-19 is putting the world community in a very difficult situation, difficult to resolve conflicts, universal conflicts, the role of leaders, managers are discussed, problem solutions are proposed through management theory.
Due to the rapid growth in the field of science and technology, IoT (Internet of Things) has become emerging technique for connecting heterogeneous technologies related to our daily needs that can affect our lives tremendously. It allows the devices to be connected to each other and controlled or monitored through handheld devices. The IoT network is a heterogeneous network that links several small hardware restriction devices, and where conventional security architectures and techniques cannot be used. So, providing protection to the IoT network involves a diverse range of specialized techniques and architectures. This paper focuses on the requirements of defense, current state of the art and future directions in the field of IoT.
The purpose of this research was to examine the mediating effect of empowerment on the linkage between Total Quality Management (TQM) and service recovery performance in the hotel industry. Although much has been written about TQM, empowerment and service recovery performance, but the role of empowerment as a mediator in the relationship between TQM and service recovery performance has remained a relatively unexplored research area. A 93-item questionnaire is designed to measure TQM, empowerment and service recovery amongst employees in five-star hotels in Jordan, and 254 usable questionnaires were used in this study. Principal components analysis determined the factor structure and regression analysis determined the relationships between the study’s variables. The results revealed that the TQM implementations have positive effects on empowerment and service recovery performance. Moreover, the study found the full mediating effect of empowerment in the relationship between TQM and service recovery performance. Implications, limitations and future research are discussed at the end. This study proposes model of influence of TQM in service recovery performance, whereby empowerment fully mediates this relationship.