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Journal articles on the topic 'Charting techniques'
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Sofeny, Daniar, and Irmayan Irmayan. "THE USE OF MIND MAPPING AND FLOW CHARTING IN TEACHING ENGLISH WRITING SKILL OF INTROVERTED STUDENTS." Jurnal ELink 5, no. 2 (2018): 46. http://dx.doi.org/10.30736/e-link.v5i2.59.
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Introverted student is a type of student who has a personality related to the world in his own mind. Based on some researches results, they showed that the type of introverted students is getting lower in achievement compared to the extroverted type. For this reason, the researchers tried to apply the techniques in order to improve the introverted students’ achievement in learning English. The researchers focused on the writing skill. So, the writing techniques, namely Mind Mapping and Flow Charting are used in this research to improve their writing skill. This study was aimed to know the effectiveness of using Mind Mapping in teaching English writing skill of introverted Students, to know the effectiveness of using Flow Charting in teaching English writing skill of introverted Students, and to determine the better technique between Mind Mapping and Flow Charting in teaching English Writing Skill of Introverted Students. The research technique used was descriptive comparative with a quantitative approach. The results of this study indicated that both techniques are equally effective. The results of the average writing test for the use of Mind Mapping techniques is 56.5, while for the use of Flow Charting techniques is 49.6. From the results of the average score, it can be concluded that flow charting techniques are more effectively used to improve the students writing skills with introverted types.
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Kreshnik, Bello, Ilollari Orkida, and Margilaj Edlira. "Charting as a powerful technique for analyzing financial markets." ECONOMICUS, no. 15 (March 24, 2017): 19–37. https://doi.org/10.5281/zenodo.7584515.
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<strong>Abstract</strong> A chart is the traditional tool of the market analysis. Charts are merely graphical displays of data. Many chart varieties have evolved over the centuries, but the basic principle of graphing price and other important information is the cornerstone of technical analysis. From these charts, analysts recognize patterns and trends that can be useful in trading and investing. Of course, the chart method is also subject to considerable criticism largely because the recognition of patterns and trends is subjective, based on the analyst’s skill and experience. We propose to take a look over the techniques and methods the investors and analysts use to evaluate the movements in the value of stocks and other assets of different companies present in the markets, and take a closer look over the most useful charts and charting techniques used today. This issue makes the rationale of this paper. For the purpose of our research, it is important to understand the level of recognition and usage of different chart types in different entities in our country. So, the purpose of this paper is to investigate the level of recognition and usage of different chart types in different business organizations in Albania. The purpose of this paper fully supports the research question expressed as: What is the level of recognition and usage of different chart types in the business organizations in Albania?; The research methodology is specified following its main dimensions, and the research is based on primary and secondary data collection. Some recommendations are also part of this paper.
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Chang, T. C., and F. F. Gan. "Charting techniques for monitoring a random shock process." Quality and Reliability Engineering International 15, no. 4 (1999): 295–301. http://dx.doi.org/10.1002/(sici)1099-1638(199907/08)15:4<295::aid-qre252>3.0.co;2-7.
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Sofeny, Daniar. "COMPARISON OF EFFECTIVENESS OF CLUSTER MAPPING, FLOW CHARTING, AND DOUBLE/ TRIPLE ENTRY ON TEACHING WRITING SKILL." LITERA 18, no. 1 (2019): 92–104. http://dx.doi.org/10.21831/ltr.v18i1.21239.
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The study was aimed to examine the effectiveness of three writing techniques, namely Cluster Mapping, Flow Charting, and Double/ Triple Entry in improving the students’ writing skill. The research technique used was descriptive comparative technique using a quantitative approach. It compared the equations and differences as phenomena to find what factors/ situations that can cause the occurrence of a particular event. The data collection techniques were Documentation study by taking the students’ writing product and interview by giving the question and answer while face to face between the interviewer with the respondent using a tool called interview guide. The try out was conducted to measure validity and reliability. The two ways ANOVA was conducted to test the hypotheses, two –way analysis of variance with F-test at the 5% (0.05) level of significance. The subject of this study was the fourth semester English students with a total of 22 people. The English students’ writing skill using three techniques was tobe the object under the study. The findings of the study were the average writing score of students using Cluster Mapping was 56.5, the average score of students’ writing using Flow Charting was 49.6, and the average score of students’ writing using Double/ Triple Entry was 63.0. It can be concluded that those three techniques of writing skill are effective to use but the most effective is the Double/ Triple Entry technique. Keywords: cluster mapping, flow charting, double/triple entry, writing skill Keywords: Cluster Mapping, Flow Charting, Double/ Triple Entry, Writing Skill
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Mahajan, Kirti Nilesh, and Leena Ajay Gokhale. "Advanced Charting Techniques of Microsoft Excel 2016 Aiming Visualization." International Journal of Computer Sciences and Engineering 7, no. 1 (2019): 198–207. http://dx.doi.org/10.26438/ijcse/v7i1.198207.
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Riaz, Muhammad. "Control charting and survey sampling techniques in process monitoring." Journal of the Chinese Institute of Engineers 38, no. 3 (2014): 342–54. http://dx.doi.org/10.1080/02533839.2014.970355.
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Butte, Vijay Kumar, and Loon Ching Tang. "Multivariate charting techniques: a review and a line-column approach." Quality and Reliability Engineering International 26, no. 5 (2009): 443–51. http://dx.doi.org/10.1002/qre.1064.
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Abdulaziz, Abdulaziz G., Clovis S. Ribas, and Gamal S. Weheba. "Application of group control charts for multiple parts manufacturing." Journal of Management and Engineering Integration 12, no. 2 (2019): 41–48. http://dx.doi.org/10.62704/10057/24257.
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In many manufacturing processes, multiple identical parts are made in parallel during a single run. Different inspectors may inspect similar parts, and several assembly lines may produce similar products. These scenarios involve multiple stream processes, where a different set of control charts is traditionally required to monitor the performance of each stream over time. As the number of streams increases, applications become unrealistic. Group control charts offer a more viable alternative. This paper presents a review of group charting techniques and highlights recent developments. The paper presents a case study to demonstrate the steps to be followed in selecting among alternative charting techniques. It is hoped that this work guides future applications and encourages quality professionals to select charts better suited to their needs.
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Zakhvatkina, Natalia, Vladimir Smirnov, and Irina Bychkova. "Satellite SAR Data-based Sea Ice Classification: An Overview." Geosciences 9, no. 4 (2019): 152. http://dx.doi.org/10.3390/geosciences9040152.
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A review of the main approaches developed for sea ice classification using satellite imagery is presented. Satellite data are the main and very often only information source for sea ice classification and charting in the remote arctic regions. The main techniques used for ice classification and ice charting in several national ice services are considered. Advantages and disadvantages of various SAR data-based methods for ice classification are analyzed. It is shown that an increase of SAR technical abilities contributes to the enhancement of sea ice classification reliability. The possible further development of satellite data-based methods for ice classification is discussed.
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Franchoo, Serge, Maher Cheikh Mhamed, Ruohong Li, Enrique Minaya Ramirez, Liss Vazquez-Rodriguez, and Deyan Yordanov. "Charting Terra Incognita at Alto and S3." EPJ Web of Conferences 193 (2018): 04012. http://dx.doi.org/10.1051/epjconf/201819304012.
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Charting Terra Incognita is a project grant that brings together the IPN Orsay, CSNSM Orsay and Irfu-SPHN laboratories around the common development of knowhow, equipment and techniques for mass spectrometry and nuclear spectroscopy at the low-energy branch of the new S3 spectrometer at Ganil, where likewise the Reglis set-up for intrajet laser spectroscopy is entering its final phase of construction. At the same time its concerted action initiates and sets the pace for the corresponding precursor physics programme at the Alto on-line isotope-separation facility, based on the photofission of uranium. We also collect a review of the Alto laser ion source, which is an essential instrument at any low-energy facility for the production of purified isotopic beams.
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Deepanshu, Sarthak Tyagi, Aayush Tyagi, Amit Kumar, and Dr Hariom Upadhyay. "PennyGuide - Charting Your Financial Course Through a Smart Mobile Application." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 6903–10. https://doi.org/10.22214/ijraset.2025.69865.
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Abstract: In today’s digital age, where financial literacy is becoming increasingly important, mobile applications for expense tracking and budgeting play a crucial role in managing personal finances. Despite their widespread popularity, many of these applications fail to deliver a truly user-friendly experience that empowers users to efficiently understand and control their expenses. This paper presents a novel approach to the tracking and visualization of expenses within budgeting apps, focusing on innovative coding techniques, expense categorization, and dynamic data representation.Weproposeadvancedmethodsforcategorizingexpenses,introduceanewreal-time tracking algorithm, and highlight state-of-the-art visualization techniques to facilitate better financial decision-making. Byprioritizing bothuser experienceandbackendfunctionality,thispaperaimstobridgethegapbetweencomplexfinancialdataanditsclearrepresentation,u ltimatelyempowering users to remain within their budgets and achieve their financial goals.
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BRAUN, T. "Charting the trends in nuclear techniques for analysis of inorganic environmental pollutants." RADIOISOTOPES 35, no. 7 (1986): 391–98. http://dx.doi.org/10.3769/radioisotopes.35.7_391.
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Bauerle, Luke, Charles Palmer, Claudia A. Salazar, et al. "Neurosurgery for psychiatric disorders: reviewing the past and charting the future." Neurosurgical Focus 54, no. 2 (2023): E8. http://dx.doi.org/10.3171/2022.11.focus22622.
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Surgical techniques targeting behavioral disorders date back thousands of years. In this review, the authors discuss the history of neurosurgery for psychiatric disorders, starting with trephination in the Stone Age, progressing through the fraught practice of prefrontal lobotomy, and ending with modern neurosurgical techniques for treating psychiatric conditions, including ablative procedures, conventional deep brain stimulation, and closed-loop neurostimulation. Despite a tumultuous past, psychiatric neurosurgery is on the cusp of becoming a transformative therapy for patients with psychiatric dysfunction, with an ever-increasing evidence base suggesting reproducible and ethical therapeutic benefit.
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Zhang, Xi, Yi Man, Xiaohong Zhuang, et al. "Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques." Science China Life Sciences 64, no. 9 (2021): 1392–422. http://dx.doi.org/10.1007/s11427-020-1910-1.
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Trimarchi, Giancarlo, Fausto Pizzino, Umberto Paradossi, et al. "Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention." Journal of Cardiovascular Development and Disease 11, no. 8 (2024): 245. http://dx.doi.org/10.3390/jcdd11080245.
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Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Traditional preventive approaches have centered around lifestyle changes, risk factors management, and medication. However, the integration of imaging methods offers a novel dimension in early disease detection, risk assessment, and ongoing monitoring of at-risk individuals. Imaging techniques such as supra-aortic trunks ultrasound, echocardiography, cardiac magnetic resonance, and coronary computed tomography angiography have broadened our understanding of the anatomical and functional aspects of cardiovascular health. These techniques enable personalized prevention strategies by providing detailed insights into the cardiac and vascular states, significantly enhancing our ability to combat the progression of CVDs. This review focuses on amalgamating current findings, technological innovations, and the impact of integrating advanced imaging modalities into cardiovascular risk prevention, aiming to offer a comprehensive perspective on their potential to transform preventive cardiology.
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Ghezelseflo, Mehdi, Shokouh Navabinezhad, Mehdi Rostami, and Kamdin Parsakia. "The Effectiveness of Emotional Freedom Techniques on Reducing Symptoms of Post-Traumatic Stress Disorder Among Women Affected by Marital Infidelity." Psychology of woman journal 4, no. 4 (2023): 92–101. http://dx.doi.org/10.61838/kman.pwj.4.4.11.
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Objective: This study aimed to examine the effectiveness of Emotional Freedom Techniques in reducing symptoms of PTSD among women affected by marital infidelity. Methods and Materials: The present research was an experimental case study utilizing a multiple baseline design across subjects. The study population consisted of all women affected by marital infidelity who had sought help at the Mehravar Counseling Center in Tehran during the fall and winter of 2021 due to various clinical symptoms arising from their spouse's infidelity. A total of 5 women were selected through purposive sampling based on the results of the self-report PTSD symptom scale (Foa, Riggs, Dancu, & Rothbaum, 1993) and clinical interviews. The Emotional Freedom Technique by Church (2014) was individually administered over 6 sessions lasting 30 to 45 minutes each to the sample group. Data analysis was conducted using visual analysis (charting), the Reliable Change Index, and the percentage of improvement formula (percentage increase). Findings: Results, obtained through visual analysis (charting), the Reliable Change Index, and the percentage of improvement formula (percentage increase), showed that the Emotional Freedom Technique led to a reduction in PTSD symptoms during treatment and follow-up stages. Conclusion: According to the study's findings, it is possible to reduce PTSD symptoms in individuals affected by marital infidelity using the Emotional Freedom Technique.
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Khan, Koffka. "Adaptive Video Streaming: Navigating Challenges, Embracing Personalization, and Charting Future Frontiers." International Transactions on Electrical Engineering and Computer Science 2, no. 4 (2023): 172–82. http://dx.doi.org/10.62760/iteecs.2.4.2023.63.
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This review paper explores the paradigm of personalized adaptive streaming, where machine learning techniques are employed to tailor video streaming experiences based on individual user behavior, preferences, and contextual factors. The paper begins by elucidating the evolution of video streaming and the critical role of adaptive streaming in modern multimedia consumption. It provides a comprehensive overview of adaptive video streaming, covering its basics, traditional approaches, and associated challenges. Emphasizing the significance of personalization in enhancing user experience, the paper then delves into the integration of machine learning in adaptive streaming systems. Specific personalized adaptive streaming techniques, including user profiling, context-aware adaptation, and real-time adjustments based on user behavior, are discussed in detail. Case studies and applications showcase notable platforms, successes, and challenges. A comparative analysis of machine learning models and algorithms is conducted, followed by a discussion on current challenges, ethical considerations and future research directions. The paper concludes by summarizing key findings and urging researchers and industry practitioners to contribute to the evolving landscape of personalized adaptive streaming.
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Madhur Kapoor. "AI and public health: Charting a path to smarter decision-making." Global Journal of Engineering and Technology Advances 23, no. 1 (2025): 445–53. https://doi.org/10.30574/gjeta.2025.23.1.0132.
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Artificial intelligence is fundamentally transforming public health decision-making through sophisticated computational techniques that analyze complex health data at unprecedented scale and speed. This technical article examines how AI technologies are being integrated into public health systems to enhance disease surveillance, optimize resource allocation, and address health inequities. The paper explores multimodal data integration for outbreak detection, census-level analytics for chronic disease risk assessment, and applications in health system planning including social determinants analysis and emergency resource optimization. Methodological considerations regarding model architecture selection and validation frameworks are discussed, highlighting the balance between complex deep learning approaches and more interpretable models. The article addresses critical ethical challenges including data privacy architectures and bias mitigation strategies necessary for responsible implementation. Future research directions are identified, including causal AI methodologies, multimodal learning systems, adaptive models that update with evolving health patterns, and explainable AI techniques. Throughout, the article emphasizes that successful AI integration depends not only on technical sophistication but also on thoughtful implementation that balances computational capabilities with human expertise and judgment within appropriate governance frameworks.
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Akshay, Akshat Divya, Jammula Nikhil, Arindam Chowdhury, and S. A. Karthik. "Review on Information Retrieval for Desktop Search Engine." International Journal of Education, Science, Technology, and Engineering 3, no. 1 (2020): 19–25. http://dx.doi.org/10.36079/lamintang.ijeste-0301.67.
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Search is an important aspect of information management often taken for granted. Domain specific repositories are growing in both size and numbers calling for efficient search and retrieval of documents. This paper explores the possible techniques and necessary system components for a search engine charting several iterative optimizations over the last few years. This paper focuses on NLP models while retaining basic principles from other methods that assist in information search.
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Wong, Chiong Liong, Kooi Huat Ng, and Wei Lun Tan. "Identifying the Process Shift with Robust Control Charts in the Presence of Contamination." ITM Web of Conferences 67 (2024): 01027. http://dx.doi.org/10.1051/itmconf/20246701027.
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Conventional control charts have traditionally been reliable tools for monitoring processes under the assumption of normally distributed data. However, real-world data often deviate from this idealized normality, leading to reduced charting performance and potentially causing process anomalies to go unnoticed. In this study, by integrating robust statistical estimators and innovative charting techniques, robust control charts demonstrate their capability to effectively detect process shifts and abnormalities in a variety of challenging settings. Through Monte Carlo simulation studies and a real dataset application, this research provides insights into the benefits and limitations of robust control charts. Our findings indicate that the proposed robust control charts show a notable performance in detecting data anomalies, specifically for the shift in mean, outperforming conventional charts in this regard. Comparison among the three robust location estimators via simulations, namely Huber (H) and Biweight (B) estimators as well as the proposed Biweight estimator integrating the M-Scale (BM) estimator also demonstrate its superiority in handling shifting in mean process situations.
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Khalsa, Sahib S., Laura A. Berner, and Lisa M. Anderson. "Gastrointestinal Interoception in Eating Disorders: Charting a New Path." Current Psychiatry Reports 24, no. 1 (2022): 47–60. http://dx.doi.org/10.1007/s11920-022-01318-3.
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Abstract Purpose of Review Abnormal interoception has been consistently observed across eating disorders despite limited inclusion in diagnostic conceptualization. Using the alimentary tract as well as recent developments in interoceptive neuroscience and predictive processing as a guide, the current review summarizes evidence of gastrointestinal interoceptive dysfunction in eating disorders. Recent Findings Eating is a complex process that begins well before and ends well after food consumption. Abnormal prediction and prediction-error signals may occur at any stage, resulting in aberrant gastrointestinal interoception and dysregulated gut sensations in eating disorders. Several interoceptive technologies have recently become available that can be paired with computational modeling and clinical interventions to yield new insights into eating disorder pathophysiology. Summary Illuminating the neurobiology of gastrointestinal interoception in eating disorders requires a new generation of studies combining experimental probes of gut physiology with computational modeling. The application of such techniques within clinical trials frameworks may yield new tools and treatments with transdiagnostic relevance.
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Tsai, Bor-sheng. "Information landscaping: information mapping, charting, querying and reporting techniques for total quality knowledge management." Information Processing & Management 39, no. 4 (2003): 639–64. http://dx.doi.org/10.1016/s0306-4573(02)00098-5.
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Maeer, Alistair. "The Baltic and the birth of a modern English maritime community: the Muscovy Company and nautical cartography, 1553-1665." Romanian Journal for Baltic and Nordic Studies 4, no. 2 (2012): 19–49. http://dx.doi.org/10.53604/rjbns.v4i2_2.
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English merchants and navigators began developing their skills in the late sixteenth century to reach Baltic shores and in the process birthed a distinct English nautical charting tradition which continued to service and reflect English interests for over a century. Specifically, the efforts of the Muscovy Company and the emergence of a distinct master-apprentice relationship of chart makers within the Drapers’ Company instigated the emergence of a modern maritime community in England replete with the financial structures, ships, and skills necessary to encompass the globe. As a result of various setbacks in the late-sixteenth century, English merchants and mariners shifted from coastal trading ventures to direct long-distance overseas commerce. This transformation was initiated through the efforts of the Muscovy Company and its accompanying introduction of marine charts for navigating distant shores. The introduction and expansion of direct long-distance overseas trade and modern navigational techniques then spurred the creation of a domestic charting industry to service these English navigational needs, the Thames School of English marine charting. Born out of a close association with English commerce to the Baltic, members of the Thames School continued to produce nautical charts of the globe that reflected ever-expanding English interests until the early-eighteenth century. This paper argues that trade to and from the Baltic acted as a proving ground, the venue, within which both the origins of English long-distant overseas trade and nautical cartography emerged—two fundamentally necessary components for the Empire which followed.
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Haghighati, Razieh, and Adnan Hassan. "A Conceptual Methodology for Recognition of Constrained Control Chart Patterns." Advanced Materials Research 845 (December 2013): 696–700. http://dx.doi.org/10.4028/www.scientific.net/amr.845.696.
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Traditional statistical process control (SPC) charting techniques were developed to monitor process status and helping identify assignable causes. Unnatural patterns in the process are recognized by means of control chart pattern recognition (CCPR) techniques. There are a broad set of studies in CCPR domain, however, given the growing doubts concerning the performance of control charts in presence of constrained data, this area has been overlooked in the literature. This paper, reports a preliminary work to develop a scheme for fault tolerant CCPR that is capable of (i) detecting of constrained data that is sampled in a misaligned uneven fashion and/or be partly lost or unavailable and (ii) accommodating the system in order to improve the reliability of recognition.
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Panța, Nancy, and Nelu-Eugen Popescu. "Charting the Course of AI in Business Sustainability: A Bibliometric Analysis." Studies in Business and Economics 18, no. 3 (2023): 214–29. http://dx.doi.org/10.2478/sbe-2023-0055.
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Abstract Artificial intelligence (AI) sparked the attention of both researchers and the business community worldwide and has become a buzzword. Similarly, (business) sustainability emerged as a prominent and pivotal concept. Given the rapid evolution of the technological advancement in AI and its potential impact(s), this paper aims to identify the ways in which AI crosses paths with business sustainability, to provide an overview of the topic and to uncover research trends using a bibliometric approach. In order to reach the research goal of the paper, we investigated the academic literature published and indexed in Scopus database using computer assisted quantitative techniques on bibliometric data and with the help of VOSviewer we visually emphasized the interconnections between fields and results. Ultimately, the present paper intends to contribute to a deeper understanding of the symbiotic relationship between AI and business sustainability, by providing insights that are purposed to enhance the academic discourse in a rapidly evolving domain.
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Lucieer, Vanessa, Vincent Lecours, and Margaret Dolan. "Charting the Course for Future Developments in Marine Geomorphometry: An Introduction to the Special Issue." Geosciences 8, no. 12 (2018): 477. http://dx.doi.org/10.3390/geosciences8120477.
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The use of spatial analytical techniques for describing and classifying seafloor terrain has become increasingly widespread in recent years, facilitated by a combination of improved mapping technologies and computer power and the common use of Geographic Information Systems. Considering that the seafloor represents 71% of the surface of our planet, this is an important step towards understanding the Earth in its entirety. Bathymetric mapping systems, spanning a variety of sensors, have now developed to a point where the data they provide are able to capture seabed morphology at multiple scales, opening up the possibility of linking these data to oceanic, geological, and ecological processes. Applications of marine geomorphometry have now moved beyond the simple adoption of techniques developed for terrestrial studies. Whilst some former challenges have been largely resolved, we find new challenges constantly emerging from novel technology and applications. As increasing volumes of bathymetric data are acquired across the entire ocean floor at scales relevant to marine geosciences, resource assessment, and biodiversity evaluation, the scientific community needs to balance the influx of high-resolution data with robust quantitative processing and analysis techniques. This will allow marine geomorphometry to become more widely recognized as a sub-discipline of geomorphometry as well as to begin to tread its own path to meet the specific challenges that are associated with seabed mapping. This special issue brings together a collection of research articles that reflect the types of studies that are helping to chart the course for the future of marine geomorphometry.
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Wang, Xindi, Guihong Liu, Qiushuo Wu, Yazi Zheng, Feng Song, and Yuan Li. "Sex estimation techniques based on skulls in forensic anthropology: A scoping review." PLOS ONE 19, no. 12 (2024): e0311762. https://doi.org/10.1371/journal.pone.0311762.
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Background Sex estimation is an essential topic in the field of individual identification in forensic anthropology. Recent studies have investigated a growing range of techniques for estimating sex from human skulls. Objectives This study aims to provide a scoping review of the literature on techniques used in skull-based sex estimation, serving as a valuable reference for researchers. Sources of evidence The literature search was performed using PubMed, Scopus, and Web of Science from January 2020 to February 2024. Eligibility criteria Eligible studies have investigated issues of interest to forensic anthropology about sex estimation using skull samples. Charting methods A total of 73 studies met the inclusion criteria and were categorized and analyzed based on the anatomic sites, modalities, trait types, and models. Their accuracy in estimating sex was subsequently examined, and the results were charted. Results and conclusions Our review highlights that the 3D medical imaging technique has enhanced the efficiency and stability of skull-based sex estimation. It is anticipated that advancements in 3D imaging and computer vision techniques will facilitate further breakthroughs in this field of research.
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Maming, Jimmy Bernabe, Kimberly Cui Nuevo Toring, and Eugene Escalona Toring. "Charting a New Course: A Research Methodology Guide for the Maritime Industry." Psychology and Education: A Multidisciplinary Journal 39, no. 6 (2025): 713–22. https://doi.org/10.70838/pemj.390601.
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This study explores a range of methodological approaches in maritime research, including qualitative, quantitative, and mixed-methods designs. Qualitative methods provide in-depth insights into the lived experiences of seafarers, while quantitative approaches leverage statistical tools and large datasets to optimize maritime operations. Mixed-methods research integrates both paradigms, offering a more holistic understanding of complex maritime phenomena. For instance, a mixed-methods framework can effectively assess the impact of emerging technologies on seafarer well-being. This research also evaluates various data collection techniques and incorporates advanced analytical tools, such as machine learning, to enhance data interpretation. Ethical considerations, including privacy protection and informed consent, are prioritized throughout the research process. Furthermore, the study underscores the transformative potential of Industry 4.0 technologies—such as artificial intelligence, blockchain, and the Internet of Things (IoT)—in reshaping maritime practices. By synthesizing diverse research methodologies, scholars can gain deeper insights into the evolving maritime landscape and address its emerging challenges more effectively.
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Kopper, Moisés. "Building a global ethnography of practices and infrastructures of datafication in the Global South." Project Repository Journal 22, no. 1 (2025): 120–23. https://doi.org/10.54050/prj2222852.
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Building a global ethnography of practices and infrastructures of datafication in the Global South InfoCitizen explores how new forms of datafication change citizenship practices in the Global South by charting grassroots and institutional data efforts and their impact on identity, citizenship and policy in Brazil, Portugal, Germany, Tanzania and Kenya. Combining archival research, digital humanities, audiovisual techniques and mixed methods, InfoCitizen examines how top-down and bottom- up data ecosystems come together to redefine the sociocultural and political-economic citizenship of marginalised populations. We connect practitioners, stakeholders, experts, and citizens by producing insights and tools to visualise data’s role in democratic transformation and citizenship dynamics today.
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Hariyanti, Eva, Mirtha Aini Paradista, Maria Lauda Joel Goyayi, et al. "The Implementation of Machine Learning for Software Effort Estimation: A Literature Review." Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika 10, no. 1 (2024): 47–57. http://dx.doi.org/10.23917/khif.v10i1.2803.
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Effort estimation is pivotal for the triumph of software development endeavors. The appropriate forecasting approach is vital for aligning software project effort estimation outcomes. This process aids in efficiently distributing resources, charting project strategies, and facilitating informed choices in IT Project Management. Machine learning, a facet of artificial intelligence (AI), is dedicated to crafting algorithms and models that empower computers to enhance their performance based on data and facilitate predictions or decision-making. This study discusses the implementation of machine learning in software development effort estimation. We collected 558 relevant papers on software effort estimation and machine learning techniques. After a quality review process, we identified 40 articles for in-depth review. We categorized machine learning techniques into supervised, unsupervised, and reinforcement learning. The results indicate that using ensemble techniques in supervised and unsupervised learning can improve the accuracy of software effort estimation. Artificial Neural Networks, Regression, K-Nearest Neighbors, Decision Trees, Random Forest, and Bootstrap Aggregation are the most commonly used methods. Ensemble techniques also aid in selecting relevant features and preprocessing data to enhance model performance. This study provides insights into implementing machine learning techniques to estimate software effort and highlights the advantages of ensemble technique.
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Lin, Yaohu, Shancun Liu, Haijun Yang, and Harris Wu. "Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme." IEEE Access 9 (2021): 101433–46. http://dx.doi.org/10.1109/access.2021.3096825.
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Renton, Kathryn. "Breeding Techniques and Court Influence: Charting a ‘Decline’ of the Spanish Horse in the Early Modern Period." Court Historian 24, no. 3 (2019): 221–34. http://dx.doi.org/10.1080/14629712.2019.1675319.
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Ahola, Ryan, René Chénier, Mesha Sagram, and Bradley Horner. "The impact of sensors for satellite derived bathymetry within the Canadian Arctic." Geomatica 74, no. 2 (2020): 46–64. http://dx.doi.org/10.1139/geomat-2019-0022.
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Canada’s coastline presents challenges for charting. Within Arctic regions, in situ surveying presents risks to surveyors, is time consuming and costly. To better meet its mandate, the Canadian Hydrographic Service (CHS) has been investigating the potential of remote sensing to complement traditional charting techniques. Much of this work has focused on evaluating the effectiveness of empirical satellite derived bathymetry (SDB) techniques within the Canadian context. With greater knowledge of applying SDB techniques within Canadian waters, CHS is now interested in understanding how characteristics of optical sensors can impact SDB results. For example, how does the availability of different optical bands improve or hinder SDB estimates? What is the impact of spatial resolution on SDB accuracy? Do commercial satellites offer advantages over freely available data? Through application of a multiple band modelling technique to WorldView-2, Pléiades, PlanetScope, SPOT, Sentinel-2, and Landsat-8 imagery obtained over Cambridge Bay, Nunavut, this paper provides insight into these questions via comparisons with in situ survey data. Result highlights in the context of these questions include the following: Similarities between sensors: Overall linear error at 90% (LE90) results for each sensor ranged from 0.88 to 1.91 m relative to in situ depths, indicating consistency in the accuracy of SDB estimates from the examined satellites. Most estimates achieved Category of Zone of Confidence level C accuracy, the suggested minimum survey accuracy level for incorporating SDB information into navigational charts. SDB coverage: Between sensors, differences in the area of the sea floor that could be measured by SDB were apparent, as were differences in the ability of each sensor to properly represent spatial bathymetry characteristics. Sensor importance: Though relationships between SDB accuracy and sensor resolution were found, significant advantages or disadvantages for particular sensors were not identified, suggesting that other factors may play a more important role for SDB image selection (e.g., sea floor visibility, sediments, waves). Findings from this work will help inform SBD planning activities for hydrographic offices and SDB researchers alike.
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Shea, Ryan W., and Dianna Bell. "Charting the Unknown: Islamic Cartography and Visions of Africa in the ‘Abbasid Era." History in Africa 46 (April 30, 2019): 37–56. http://dx.doi.org/10.1017/hia.2019.9.
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Abstract:This article explores cartographic methods during the ninth and tenth century of the ‘Abbasid Caliphate, with a focus on the deformation of Sub-Saharan Africa in world maps produced during the early era. It reviews the preceding influences that factored into how ‘Abbasid cartographers understood and mapped out unknown regions alongside pieces of the folkloric fear that accompanied the idea of al-Wāq-Wāq, that is the uncharted and unknown areas of inland Africa south of the Sahara. By reviewing the methods and techniques of map making alongside information that circulated about al-Wāq-Wāq, this article offers a contribution to knowledge about cartographic practices during the ‘Abbassid era and reviews the work of prominent geographers alongside the deformations in their maps and social assumptions they carried about what and who rested within the interiors of Africa.
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Sanjeev Kumar, Et al. "Charting the Unseen: Transformative Approaches in Time Series Forecasting in Real World Domains." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 3003–15. http://dx.doi.org/10.17762/ijritcc.v11i9.9408.
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This paper addresses the growing complexity of forecasting in an era where data volumes are expected to reach 180 zettabytes by 2025. It aims to bridge the gap between the theoretical aspects of time series analysis and their practical applications in fields like finance, healthcare, and environmental studies. The research covers foundational concepts such as Autocorrelation and White Noise and spans various methodologies from traditional models like ARIMA to advanced techniques involving machine learning. Special attention is given to the challenges of applying these theories to real-world, often irregular or incomplete data. The paper also explores the integration of technologies like AI in forecasting, emphasizing the need for robust and interpretable models. Concluding with a call for greater academia-industry collaboration, it suggests new research directions for innovative, practical forecasting solutions in a data-intensive world.
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Hessels, J. W. T. "Charting the Transient Radio Sky on Sub-Second Time-Scales with LOFAR." Proceedings of the International Astronomical Union 7, S285 (2011): 104. http://dx.doi.org/10.1017/s174392131200035x.
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SummaryThe LOw Frequency ARray (LOFAR) is a radio interferometric telescope that promises to open a largely unexplored window on transient sources in the “radio sky”, from time-scales of nanoseconds to years. An important aspect of this will be the study of radio-emitting neutron stars in their various incarnations: slow pulsars, young pulsars, millisecond pulsars, magnetars, rotating radio transients, intermittent pulsars, et cetera. Pulsars and their brethren are the prototype of the more general “fast transients”: sub-second, dispersed radio bursts which point the way to extreme, and potentially still unknown, phenomena. For instance, prompt radio bursts from supernovæ and other extra-galactic bursts have been hypothesized; these could prove to be powerful cosmological probes.This talk discussed LOFAR's impressive ability to observe pulsars and to enlarge greatly the discovery space for (even rarer) fast transients. It also presented the latest pulsar observations made during LOFAR's commissioning period. These are demonstrating powerful observing techniques that will be crucial for the next generation of radio telescopes as well as the effort to increase our understanding of the dynamic nature of the Universe.An expanded version of the talk can be found at http://adsabs.harvard.edu/abs/2011A
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D'Alessandro, Mark. "Follow That Pig: Visually Charting Enhanced Learning in a Culinary School Butchery Class." Gastronomica 18, no. 3 (2018): 82–92. http://dx.doi.org/10.1525/gfc.2018.18.3.82.
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Culinary school curricula are composed of courses that present techniques rooted in the classical French cuisine of Escoffier. Students learn by doing; that is, they are presented a technique in a two-dimensional textbook, watch an instructor demonstrate it, and then practice it on their own. This article traces a lesson that enhances this process by asking students to incorporate higher-order concepts into their learning process, and challenge what they know. Through the interactive demonstration of breaking down and processing a whole pig, students were challenged to connect this experience to broader issues in their personal lives, their career goals, and contemporary issues such as reducing food waste. The analysis highlights that when students are engaged in growing the produce they use to learn knife skills, or breaking down the pig they use to make pâté, an enhanced connection exists that benefits the learning environment.
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Gupta, Sahen, and Elaine Duncan. "Person-Centered Sport Psychology Practice: A Framework for Working With Emotions and Complex Processes." Case Studies in Sport and Exercise Psychology 7, no. 1 (2023): 135–49. http://dx.doi.org/10.1123/cssep.2023-0023.
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Person-centered therapy (PCT) is a client-centered therapeutic approach that focuses on the practitioner–client relationship and has been shown to be an effective practice approach when working with clients presenting complex emotional experiences. We provide a brief outline of PCT theory and specific practice techniques for working with emotions in applied sport psychology practice. By adopting a case-report methodology, we outline self-charting and clearing a space, which can be applied when working with complex emotions in the sport context. This case report contributes to the literature as the first study to provide a framework for PCT application in applied sport psychology. By providing a “how-to-apply” framework, we aim to show how to apply these techniques in practice using “in vivo” session transcripts. Evaluations of interventions and reflections are demonstrated, which will provide practitioners with a case example and recommendations for context-sensitive application of PCT.
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Ioakeim-Skoufa, Ignatios, Rubén Ledesma-Calvo, Aida Moreno-Juste, et al. "Charting the Pathways of Cardiometabolic Multimorbidity: A Systematic Review of Clinical Trajectories." Journal of Clinical Medicine 14, no. 8 (2025): 2615. https://doi.org/10.3390/jcm14082615.
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Background: Managing multimorbidity is a major challenge for healthcare systems. Cardiometabolic multimorbidity (CMM) is highly prevalent and linked to increased disease burden, functional decline, and mortality. While most studies focus on cross-sectional analyses, longitudinal approaches are essential for understanding disease progression and identifying patient groups who may benefit from targeted interventions. Objectives: This systematic review synthesises evidence from longitudinal studies on the incidence and progression of CMM, exploring transitions between multimorbidity clusters and their clinical implications. Methods: A systematic search was conducted in MEDLINE and EMBASE following PRISMA guidelines. Studies were included if they employed longitudinal designs and clustering techniques to assess multimorbidity evolution. The quality of evidence was evaluated using the GRADE system. Results: Ten studies met the inclusion criteria. CMM occurs across all age groups and both sexes, showing the highest mortality and functional decline rates. Patients with CMM frequently develop additional cardiometabolic conditions or transition to related clusters. Many also experience neurodegenerative and mental health disorders. Individuals from respiratory multimorbidity clusters often transition to CMM. Moreover, CMM is more prevalent in lower socioeconomic populations. Conclusions: Understanding multimorbidity trajectories enables targeted preventive strategies. Identifying patients with predictable progression can help design adequate and effective interventions, reduce health disparities, and improve healthcare outcomes.
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Purcell, Janine A. "Statistical Process Control Charting Applied to the Analysis of Human Performance in Computer-Supported Environments." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 4 (1994): 350–54. http://dx.doi.org/10.1177/154193129403800434.
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To develop usable Human-Machine Systems, we need Tools to evaluate and measure the length of learning periods, error rate, response time, and transfer of learning in the human operators of these systems (Whiteside, Bennett, and Holtzblatt, 1988). This research explores the use of Statistical Process Control (SPC) charts as a tool to visualize and analyze performance in a decision-making task. The data submitted to control charting was collected in an experiment that explored the effect of order of training or experience in working with alternate display formats. Results for an individual subject as well as a summary for one of the four experimental groups are discussed. Suggestions for further applications of these techniques are offered.
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Martínez-Soler, Dr Pablo. "Overview of minimally invasive nerve root decompression compared to traditional microdiscectomy and foraminotomy techniques: present and future of spinal microsurgery." Journal of Neurology & Stroke 14, no. 6 (2024): 202–8. https://doi.org/10.15406/jnsk.2024.14.00609.
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Minimally invasive spinal surgery has revolutionized the management of degenerative spine conditions, offering solutions with reduced tissue disruption and quicker recovery compared to traditional approaches. This article provides a comprehensive analysis of minimally invasive nerve root decompression techniques, focusing on transforaminal endoscopic lumbar discectomy (TELD), and contrasts these with traditional microdiscectomy and foraminotomy. TELD's integration of advanced visualization, reduced surgical morbidity, and enhanced patient outcomes highlights its transformative impact. The review also explores innovations in biological therapies, such as platelet-rich plasma (PRP), which improve tissue healing and reduce recurrence rates. Technical refinements, patient-centered care protocols, and emerging technologies, including robotic assistance and augmented reality, further expand the scope of minimally invasive approaches. Addressing the challenges of training, cost, and patient selection, this discussion underscores TELD’s potential to set new benchmarks in spinal microsurgery. The article concludes by charting future directions in regenerative medicine and personalized spinal care, reinforcing the role of minimally invasive techniques in advancing patient outcomes and healthcare efficiency.
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Smith, Ian, John Rivers, and Russell Brighouse. "PT393 Use of statistical process control charting techniques for prospective monitoring of outcomes of changes in clinical practice." Global Heart 9, no. 1 (2014): e248. http://dx.doi.org/10.1016/j.gheart.2014.03.2112.
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Hasan, Shahzeb, and Subhajit Panda. "Charting a Sustainable Path: Empowering Green Libraries for a Greener Future in India." International Journal of Information Studies and Libraries 8, no. 1 (2023): 38–49. https://doi.org/10.6084/m9.figshare.23906142.v1.
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The concept of green libraries or sustainable libraries has gained prominence in response to the global challenge of climate change and increasing focus on environmental conservation. Libraries, as knowledge and learning centers, recognize their role in advocating sustainability and promoting environmentally conscious behaviors. By adopting sustainable practices, libraries can reduce their environmental impact, conserve resources, and foster environmental awareness among their patrons. This research paper explores the landscape of sustainable library operations in India by analyzing existing literature, examining case studies, and gathering expert opinions. The study highlights the importance of sustainable practices in libraries and addresses the unique challenges and opportunities within the Indian context. The findings underscore the need for libraries in India to embrace environmentally responsible practices, such as reducing energy consumption, promoting waste reduction and recycling, integrating green building techniques, and incorporating environmental sustainability into library programming. By doing so, libraries can serve as role models for sustainable practices, educate users about environmental issues, and contribute to a more environmentally conscious society. It is imperative for libraries in India to prioritize sustainable practices and work towards a greener future for all.
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Tariq, Usman, and Irfan Ahmed. "Reasoning About Responsibility in Autonomous Systems: Navigating the Challenges and Charting Future Directions." Ubiquitous Technology Journal 1, no. 2 (2025): 46–60. https://doi.org/10.71346/utj.v1i2.21.
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As autonomous systems gain prominence in sectors such as transportation, healthcare, and finance, the challenge of assigning responsibility for their actions has become increasingly critical. Existing legal, ethical, and technical frameworks often fall short in addressing the unique characteristics of these systems, which include opaque decision-making processes, emergent behavior, distributed control, and learning from biased data. This paper investigates the core challenges involved in reasoning about responsibility within autonomous systems by focusing on issues such as the black-box problem, the unpredictability of outcomes, the complexity of multi-agent environments, and the evolving role of human oversight. It reviews and analyzes a range of potential solutions, including explainable AI techniques, formal specification & verification methods, agent-based simulations, ethics-oriented design principles, and hybrid reasoning models that combine symbolic & sub-symbolic approaches. By connecting these methods to real-world domains and incidents, the paper offers a structured understanding of how responsibility can be clarified and embedded into the design & governance of autonomous systems. This research contributes novel analytical perspectives and practical pathways that can support the more accountable deployment of AI technologies while laying the groundwork for future interdisciplinary probe into responsible autonomy.
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Zhang, Meng, Xi Zhang, Zibin Chen, Zhi Wang, Chenyang Liu, and Kyungjin Park. "Charting the Path of Technology-Integrated Competence in Industrial Design during the Era of Industry 4.0." Sustainability 16, no. 2 (2024): 751. http://dx.doi.org/10.3390/su16020751.
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The fusion of emerging technologies with industrial design has catalyzed a fundamental shift in the aesthetics, user experiences, and service frameworks of products in the Industry 4.0 era. Simultaneously, this convergence has heightened the demands placed on the technological integration competencies of designers. Consequently, there exists a necessity to articulate a precise developmental trajectory for proficiency in industrial design that incorporates these novel technologies. This study initiates with a bibliometric analysis to quantify the scholarly literature relevant to this research domain. Subsequently, leveraging the insights from this analysis, semi-structured interviews were conducted with 15 experts spanning the United States, Europe, South Korea, and China. Our conclusions show the following: (1) Co-word analysis and cluster analysis techniques are applied to identify 80 technologies and four technological clusters that demonstrate strong associations with industrial design in the Industry 4.0 era. (2) Employing coding techniques and thematic analysis, four distinct skill domains emerge for technology-integrated industrial design: Industrial Design Skills, Industrial Design Knowledge, Ethical Considerations in Industrial Design, and Industrial Design Industry Insight. Furthermore, a limitation that affects these competencies is identified. (3) A recommended methodology for assessing these competencies is proposed. This study represented an expansion upon existing industrial design competencies. The empirical data generated herein serves as a valuable resource for practitioners and educators within the field of industrial design. Furthermore, it provides a theoretical groundwork for future models addressing technology-infused industrial design capabilities.
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Pinki. "Data Analytics and LIS Education." VEETHIKA-An International Interdisciplinary Research Journal 10, no. 3 (2024): 42–48. http://dx.doi.org/10.48001/veethika.2024.10.03.005.
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Data analytics, an indispensable discipline in today's digital era, has spread through diverse industries, and libraries also need to embrace its transformative potential. As they are no longer mere storehouses of books and resources rather libraries metamorphosed into vibrant epicentre of information and wisdom. Consequently, LIS education must undergo a profound metamorphosis as well, embracing data analytics as an indispensable pillar of its curriculum. This paper delves into the vast realm of data analytics, combing through the extensive literature to furnish a comprehensive panorama of its fundamental aspects, methodologies, applications, and enigmatic challenges. Additionally, it embarks on a captivating expedition tracing the evolutionary trajectory of data analytics, charting the course of its exhilarating advancements, and scrutinizing the exemplary techniques that empower libraries to harness its prowess.
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Rejeb, Abderahman, John G. Keogh, Wayne Martindale, et al. "Charting Past, Present, and Future Research in the Semantic Web and Interoperability." Future Internet 14, no. 6 (2022): 161. http://dx.doi.org/10.3390/fi14060161.
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Huge advances in peer-to-peer systems and attempts to develop the semantic web have revealed a critical issue in information systems across multiple domains: the absence of semantic interoperability. Today, businesses operating in a digital environment require increased supply-chain automation, interoperability, and data governance. While research on the semantic web and interoperability has recently received much attention, a dearth of studies investigates the relationship between these two concepts in depth. To address this knowledge gap, the objective of this study is to conduct a review and bibliometric analysis of 3511 Scopus-registered papers on the semantic web and interoperability published over the past two decades. In addition, the publications were analyzed using a variety of bibliometric indicators, such as publication year, journal, authors, countries, and institutions. Keyword co-occurrence and co-citation networks were utilized to identify the primary research hotspots and group the relevant literature. The findings of the review and bibliometric analysis indicate the dominance of conference papers as a means of disseminating knowledge and the substantial contribution of developed nations to the semantic web field. In addition, the keyword co-occurrence network analysis reveals a significant emphasis on semantic web languages, sensors and computing, graphs and models, and linking and integration techniques. Based on the co-citation clustering, the Internet of Things, semantic web services, ontology mapping, building information modeling, bioinformatics, education and e-learning, and semantic web languages were identified as the primary themes contributing to the flow of knowledge and the growth of the semantic web and interoperability field. Overall, this review substantially contributes to the literature and increases scholars’ and practitioners’ awareness of the current knowledge composition and future research directions of the semantic web field.
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Mellinger, Christopher D. "Quantitative questions on big data in translation studies." Meta 67, no. 1 (2022): 217–31. http://dx.doi.org/10.7202/1092197ar.
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As corpus-based translation studies continues to expand, researchers have employed data analytic techniques from neighbouring disciplines, such as corpus linguistics, to explore a wider variety of research questions. The field has evolved from early frequency-based approaches to corpus-based translation studies to now include more advanced statistical analyses to understand the complex web of variables encapsulated by the translation process. Big data analytic techniques that originated in data analytics and related quantitative fields could be usefully applied to research questions in translation and interpreting studies. To assess their applicability, this article first outlines what distinguishes big data from general corpora in translation and interpreting studies, identifying how data volume, variety, and velocity are applicable properties to be considered in corpus-based translation and interpreting studies research. Then, the article presents three types of big data analysis techniques, namely crosslingual and multilingual data analysis, sentiment analysis, and visual analysis. These analyses are presented in conjunction with potential research areas that would benefit from these complementary analytical approaches. The article concludes with a discussion of the implications of big data analytics in corpus translation studies, while charting the trajectory of a more quantitative, corpus-based approach to translation studies.
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Zhang, Chuanyue. "Research on Key Technologies of Spatial Domain Image Steganography and Analysis of Typical Applications." Transactions on Computer Science and Intelligent Systems Research 6 (October 17, 2024): 164–71. http://dx.doi.org/10.62051/9neqtr56.
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In the digital age, secure storage and communication of information are crucial aspects of everyday life, drawing significant global interest. Steganography serves as a pivotal method for concealing private information within various media forms—such as images, videos, and text—enabling secure information transmission. This paper delineates the distinctions between information hiding and encryption and delves into image steganography. The focus here is on spatial-based image steganography techniques, which are broadly categorized into traditional and deep learning-based methods. Traditional methods rely on modifications to the pixel values of the host image, often resulting in minor but detectable changes if not carefully managed. On the other hand, deep learning-based methods leverage neural networks to learn how to encode data in an image in a way that is much harder to detect. A comprehensive performance analysis of these techniques is provided, complete with comparative tables to aid in clarity and reference. Additionally, this paper aims to guide researchers by charting current trends in the field and suggesting future research directions. By exploring these advanced techniques, the paper contributes to the broader discourse on enhancing the security and efficacy of steganographic practices.
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Taj, Shazia, Prof Dr Samina Kausar, Farah Naz, Nadia Manzoor, and Sana Zareef. "Effectiveness of Breastfeeding Techniques to Improve Latching and Prevention of Nipple Soreness among Primipara Mothers. A Randomized Control Trial." Journal of Neonatal Surgery 14, no. 1S (2025): 852–59. https://doi.org/10.52783/jns.v14.1610.
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Background Breastfeeding is crucial for reducing child mortality but challenges like nipple soreness and improper latching techniques can lead to early cessation. Breastfeeding status assessment rely on subjective, Not assessd objectively. Methodology A study of 100 postpartum primipara mothers used an experimental design with non-probability convenient sampling. Participants were divided into two groups:SVD and Pfannenstiel incision, each split into intervention and control subgroups by randomization. The intervention group received breastfeeding supportive techniques, while the control group received routine care. Data was gathered by socio-demographic form, the LATCH scoring system, and a nipple soreness scale by using SPSS version 3023. Data Analysis was conducted by using descriptive statistics, t-tests and ANOVA to evaluate the effectiveness of techniques. Results The study results revealed significant reductions in nipple soreness among intervention group mothers as Latch observations of intervention group was (8.84 ± 1.22). Nipple soreness score of intervention group was (0.44 ± 0.85) & control (2.12 ± 1.20) accordingly. Conclusion Proper positioning and latch are crucial for minimizing nipple soreness and newborns can efficiently draw milk from the breast. Therefore, it is crucial for nurses to objectively assess breastfeeding by implementing a LATCH charting system.