Practical Method Research Articles

Co-Learning Scenarios with the Community: Democratic Practices In and Out of the Design Studio

Design education is characterised by its experiential and practice-oriented approach, emphasising active engagement with projects. The pedagogical focus is on developing individual styles, professional stances, and a receptive attitude towards novel experiences, aligning with the evolving landscape of the design profession. This study explores community engagement in student projects as a means to establish a co-deciding and co-learning infrastructure in the design studio. This participative and democratic approach challenges traditional hierarchies in higher education, transforms the student-instructor relationship, and aligns educational practices with the evolving requirements of the design profession. The study investigates students' insights into co-learning with the community through scenario-building. A workshop conducted with twelve fourth-year undergraduate industrial design students and the thematic analysis of the findings revealed that educational community engagement projects employing inclusionary methods motivate students and foster a positive attitude towards shifting power relations within a democratic design studio structure. The findings also highlight the need for a clear focus, a set of principles for successful engagement, and conflict resolution in the co-learning process, as well as the generative potential of scenario-building as a method for inclusive practices.

Application‐Based Review of Soft Computational Methods to Enhance Industrial Practices Abetted by the Patent Landscape Analysis

ABSTRACTSoft computing is a collective methodology that touches all engineering and technology fields owing to its easiness in solving various problems while comparing the conventional methods. Many analytical methods are taken over by this soft computing technique and resolve it accurately and the soft computing has given a paradigm shift. The flexibility in soft computing results in swift knowledge acquisition processing and the information supply renders versatile and affordable technological system. Besides, the accuracy with which the soft computing technique predicts the parameters has transformed the industrial productivity to a whole new level. The interest of this article focuses on versatile applications of SC methods to forecast the technological changes which intend to reorient the progress of various industries, and this is ascertained by a patent landscape analysis. The patent landscape revealed the players who are in the segment consistently and this also provides how this field moves on in the future and who could be a dominant country for a specific technology. Alongside, the accuracy of the soft computing method for a particular practice has also been mentioned indicating the feasibility of the technique. The novel part of this article lies in patent landscape analysis compared with the other data while the other part is the discussion of application of computational techniques to various industrial practices. The progress of various engineering applications integrating them with the patent landscape analysis must be envisaged for a better understanding of the future of all these applications resulting in an improved productivity.

EDNA-Based Survey of Fish Species in Water Bodies Using Loop-Mediated Isothermal Amplification (LAMP) for Application of Developing Automatic Sampler.

The monitoring of species in a habitat is important to ensure biological diversity. Environmental DNA (eDNA) can infer the presence-absence of species and enable rapid action to avoid threatening factors in ecosystems in the case of non-indigenous species. Loop-mediated isothermal amplification (LAMP) assays for molecular amplification are rapidly gaining popularity in species detection, but LAMP remains an underutilized method for eDNA-based monitoring practices. The most effective combination for successful species monitoring may be the collection of eDNA or biological traces collected by nanofiltration followed by LAMP-based species detection initiatives. Here, we used LAMP analysis to detect the eDNA of Esox lucius (Northern Pike), Anguilla anguilla (European Eel), and Salmo salar (Atlantic Salmon) in Borre Lake and in the Drammen River. The selection of species is based on the categories of regionally invasive species, endangered species, and species of least concern. Two target genes were considered for each species and LAMP primers were designed. Our study showed that LAMP is an effective tool for discovering specific fish eDNA (analysis) to maintain aquatic ecosystems.

Determination of MYD88 and CXCR4 mutation for clinical detection and their significance in Waldenström macroglobulinemia.

This study aims to explore the incidence and clinical features of MYD88 and CXCR4 mutations in patients with Waldenström macroglobulinemia (WM) and determine the optimal method for routine clinical practice. Additionally, we seek to evaluate the prognostic significance of these features across various therapeutic backgrounds [cytotoxic group, the Rituximab/Bortezomib-based group, and the Bruton's tyrosine kinase inhibitor (BTKi) group]. 385 symptomatic WM patients were analyzed for MYD88 and CXCR4 mutations using Sanger sequencing, next-generation sequencing (NGS), allele-specific quantitative polymerase chain reaction (AS-PCR), and/or droplet digital PCR (ddPCR). The overall MYD88 mutation rate was 87.8%, relatively lower than that in Western cohort. Both AS-PCR and ddPCR demonstrated high sensitivity in unsorted samples, detecting 98.5% and 97.7% of mutations, respectively, including those with low tumor burdens. The total CXCR4 mutation rate was 30.9%, with NGS exhibiting the highest sensitivity of 78.0%. CXCR4 mutation was significantly linked to shorter OS only within the BTKi treatment group. The multivariate analysis indicated that MYD88 and CXCR4 mutations were not independent prognostic factors in the non-BTKi group when considering IPSSWM clinical staging. However, in the BTKi treatment group, these mutations emerged as independent adverse prognostic factors, overshadowing the prognostic significance of IPSSWM classification (MYD88: HR=0.229, P=0.030; CXCR4: HR=3.349, P=0.012). Testing for MYD88 mutations using AS-PCR or ddPCR in unsorted samples is viable for routine clinical practice. Under BTKi treatment, MYD88 and CXCR4 mutations hold greater prognostic importance than IPSSWM staging in WM.

Self-management of long-term conditions: a district nursing perspective of patient engagement.

The UK has a growing ageing population with increased prevalence of long-term conditions. It has the potential to overwhelm the country's healthcare system. The COVID-19 pandemic and its risk of transmission provided an opportunity for people with long-term conditions to focus on self-care and for district nurses to promote self-management. Self-management strategies, such as digital technology, motivational interviewing, social prescribing and shared decision-making can assist them in planning a whole-population approach towards managing physical and mental wellbeing. For this to become a reality, investment is needed to educate the patients, their carers, district nurses, multidisciplinary teams and to ensure the sustainability of self-care methods for future practice.

Cavitation state recognition method of centrifugal pump based on multi-dimensional feature fusion and convolutional gate recurrent unit

The rapid and accurate recognition of cavitation in centrifugal pumps has become essential for improving production efficiency and ensuring machinery longevity. To address the limitations of existing methods in terms of applicability, accuracy, and efficiency, a new method based on multi-dimensional feature fusion and convolutional gate recurrent unit (MCGN) was proposed. Experimental monitoring of cavitation of centrifugal pumps was conducted. Five signals at different water temperatures and operating frequencies were collected. Key modulating features were extracted by time-frequency analysis and principal component analysis. The multi-dimensional features are fused by one and two dimensional convolutional neural networks. The cavitation state label was used to label the sample set by cavitation number, net positive suction head, and cavitation evolution images captured by high-speed cameras. Finally, the neural network based on the convolutional gate recurrent unit was used to classify the cavitation state of the centrifugal pump. The experimental results demonstrate that the proposed method achieves recognition accuracies exceeding 98% for vibration signals, noise signals, outlet pressure pulsation signals, and torque signals. Compared with the short-time Fourier transform-autoencoder model, MCGN model can improve the recognition accuracy by 4.03%, computation efficiency by 20%, and loss by 87%. These advances underscore the potential of the method in monitoring and maintenance practices for centrifugal pumps.

MENANAMKAN MINAT LITERASI (BACA TULIS) SEJAK DINI DI SDN NAGACIPTA 02

Lack of facilities and infrastructure that can support students’ reading activities, as well as lack of support and motivation for students. In the teaching and learning process, teachers also have not implemented innovative and interesting teaching, especially in teaching reading to students from the lower grades, resulting in a lack of interest and interest among students in literacy activities. The purpose of this writing is to explain the importance of literacy in the quality of human resources who are able to compete and keep up with current developments. The implementation method applied was socialization to students at SDN Nagacipta 02 with the theme of instilling an interest in literacy (reading and writing) from an early age, using the flashcards method for reading practice. This activity was held at SDN Nagacipta 02 which is located in Nagacipta Village, Serang Baru District on February 27 2024. The results of this program can be seen in the increased interest of students in reading. When running the program in class 2 and class 4, students appear to be able to participate in the learning process with enthusiasm and full of activity, this can be seen when running the program in class 2 using the flashcards method and for class 4 students it can also foster a sense of cooperation between classmates. Through group work in creative activities to decorate literacy trees. Because motivation and support both in terms of facilities and infrastructure, as well as the ability to package innovative teaching and learning processes can have a big impact on the growth of students’ interest in the learning process, which will influence the achievement of learning goals.

The effect of virtual reality glasses used in dental treatment on anxiety and fear in children: A randomized controlled study

IntroductionVirtual reality glasses can be used as a distraction method in dental practices for children. This study was carried out to evaluate the effect of virtual reality glasses used during tooth extraction and extirpation treatment under local anesthesia on anxiety and fear in children aged 7–10 years. MethodsThis study is a randomized controlled trial. The sample of the study consisted of 120 seven to ten-year-old children, including 60 in the EG and 60 in the CG, who received tooth extraction and extirpation treatment in the pediatric dental clinic. Data collection tools included the Children's Fear Scale, the Child Anxiety Scale-State. Data were analyzed using the Chi-square test, t-test, Shapiro-Wilk, mean and percentage distributions. ResultsThe assessments made by the researcher and the children indicated a statistically significant difference between experimental and control groups in terms of their mean anxiety and fear scores following tooth extraction and extirpation treatment (p < 0.001). After tooth extraction and extirpation treatment, it was determined that the children in the EG had lower mean anxiety and fear scores than the children in the CG. ConclusionIt was found that virtual reality glasses used during tooth extraction and extirpation treatment in children aged 7–10 years were effective in reducing their anxiety and fear levels. Virtual reality glasses can be used as a distracting method to relieve children's anxiety and fears during dental treatment procedures.

Testing of parenteral drug products for visible particles: comparison of the Ph. Eur. method with an alternative method using polarised light

ObjectivesParenteral drug products should be essentially free from visible particulate contamination. To ensure this, every batch produced must be subject to a 100% visual inspection. Monograph 2.9.20 of the European...

Development of a three-dimensional printed model from a digital impression of a real patient for aesthetic dentistry undergraduate teaching.

The acquisition of skills and manual dexterity in aesthetic dentistry in undergraduate teaching requires preclinical practices with simulation that should approximate real clinical situations. We will present a digital procedure for the creation of three-dimensional (3D) resin models adapted to the practices of the Aesthetic Dentistry course. Stereolithography or Standard Tesellation Language (STL) files of a real patient were previously obtained with a 3-shape intraoral scanner. Using the Exocad computer programme for dental prosthesis design, various modifications were made, such as incisor rotation, surface alterations imitating dysplasias or erosions, the creation of diastemas, or even changes in tooth size. The virtual model was printed in resin for use by students. Once the practices were finished, the students and the teachers evaluated the use of the 3D printed models. The result is the typodont model, in which seven laboratory sessions took place: 1-Restoration of conoid tooth morphology, 2-Cervical abrasion/ erosion restoration, 3-Direct Composite Veneer, 4-Aesthetic correction in a tooth with rotation, 5-Diastem closure, 6-Occlusal abrasions/ erosion, and 7-Maryland bridge. 90.48% of the students evaluated the designed 3D model as the best method for laboratory practice compared to other methods, obtaining a general assessment of 8.3 out of 10. The method used has provided a reproducible standard analog model for direct aesthetic dental restoration practice, with a good assessment by students and teachers.

Practical Integer-Constrained Cone Construction for Conformal Parameterizations.

We propose a practical method to construct sparse integer-constrained cone singularities with low distortion constraints for conformal parameterizations. Our solution for this combinatorial problem is a two-stage procedure that first enhances sparsity for generating an initialization and then optimizes to reduce the number of cones and the parameterization distortion. Central to the first stage is a progressive process to determine the combinatorial variables, i.e., numbers, locations, and angles of cones. The second stage iteratively conducts adaptive cone relocations and merges close cones for optimization. We extensively test our method on a data set containing 3885 models, demonstrating practical robustness and performance. Our method achieves fewer cone singularities and lower parameterization distortion than state-of-the-art methods.

Forensic medical determination of the age of fractures based on X-ray research methods: A literature review

Fractures of various locations as a result of traumatism rank second in both Russia and abroad. In Iran, and in the daily work of a forensic expert, skeletal trauma, if not prevalent, is one of the injuries encountered during the examination of victims, accused, and other persons. In addition to determining the mechanism of bone fracture formation, experts face cases of persistent injuries. Determining the time of the occurrence of bodily injuries in living persons generally does not involve special labor if full-fledged research objects are available. A much more difficult task is determining the age of a bone fracture from control radiographs, without primary clinical and radiological data, when the expert is provided with only control radiographs of the area of interest, which were taken after a long time has elapsed from the time of injury. In modern domestic and foreign scientific sources, no clear criteria have been established for determining the age of fractures based radiographs. Although some studies have been devoted to this issue in forensic medical literature, they are based on the results of nonradiological research methods: histological, histochemical, fractographic, ultrasound, and others. In the specialized literature on traumatology, determining the age of fractures since occurrence is not a priority. The analysis of literary sources shows the relevance of research on radiography methods for forensic medical practice.

Accuracy of geometric morphometrics for age estimation using frontal face photographs of children and adolescents: A promising method for forensic practice

Age estimation is crucial in legal and humanitarian contexts. Forensic professionals may use various procedures to estimate age, including dental analysis, bone density tests, evaluation of physical characteristics including facial bone structure and development, and image-based methods. Although images are often the only material available, visual observation of photographic material is an imprecise method in age estimation, which can compromise judicial decision-making. Analyzing 4000 photographs from the Brazilian Federal Police database, representing four age groups (6, 10, 14, and 18 years), the study employed automated analysis by marking 28 photogrammetric points. Data were used to establish facial patterns by age and sex using the facial geometric morphometrics method. Performance was assessed through a Multinomial Logistic Regression model, evaluating accuracy, sensitivity, and specificity across the categorical age groups. Analyses were conducted using R software, with a 5 % significance level. The study found that facial geometric morphometrics achieved an overall accuracy of 69.3 % in age discrimination, with higher accuracy in males (74.7 %) compared to females (65.8 %) (p < 0.001). The method excelled at predicting the age of 6-year-olds with 87.3 % sensitivity and 95.6 % specificity but had lower performance at 14 years. It showed greater accuracy in distinguishing age groups with larger age gaps, achieving up to 99.5 % accuracy between certain groups, and was particularly effective in differentiating ages of 6 and 10 years in females and 10, 14, and 18 years in males. The facial geometric morphometrics emerges as a promising approach for age estimation among children and adolescents in forensic settings.

Формування відповідальної поведінки молоді в процесі соціалізації.

The paper analyzes the problem of the influence of surrounding environment on the formation of responsible behavior of young people. The modern challenges of the digital society and the problems of the “aging” of human resources increase scientific attention to the question of the readiness of young people to take responsibility for the future social development. Therefore, it is important to determine the external conditions which form responsible behavior of young people. General scientific methods of research were used to fulfill the task: systematic approach, statistical and graphic methods, method of analysis and synthesis, method of empirical research. A meaningful connection between the categories “responsibility”, “responsible behavior”, “readiness for responsible behavior” was established; on this basis, the importance of early formation of responsible behavior of young people at the stage of socialization was substantiated. The key spheres of youth socialization were found out: those are family, education, public activities. The author established that under the influence of these institutions, the integrated accumulation of a knowledge base, practical experience of responsible actions is carried out by young people, which develops the ability for critical thinking and collectively forms in young people the readiness for responsible behavior as a norm and an integrated value. Proactive methods of informal education and social practices promising for the formation of responsible behavior of young people were identified, the author’s model of the Summer School was presented as an example, which integrates the acquisition of basic management skills with the practical development of social projects, which contributes to the acquisition of experience. As a result, the agents of socialization were suggested to direct the key influences on young people in the following directions: educational environment — introduction of proactive methods of informal education, social practices; family environment — development of family education strategy; public environment — implementation of motivational mechanisms to involve young people in the participation in non-governmental organizations, wide use of educational collective methods.

Asymmetric lesion detection with geometric patterns and CNN-SVM classification

In dermoscopic images, which allow visualization of surface skin structures not visible to the naked eye, lesion shape offers vital insights into skin diseases. In clinically practiced methods, asymmetric lesion shape is one of the criteria for diagnosing Melanoma. Initially, we labeled data for a non-annotated dataset with symmetrical information based on clinical assessments. Subsequently, we propose a supporting technique—a supervised learning image processing algorithm—to analyze the geometrical pattern of lesion shape, aiding non-experts in understanding the criteria of an asymmetric lesion. We then utilize a pre-trained convolutional neural network (CNN) to extract shape, color, and texture features from dermoscopic images for training a multiclass support vector machine (SVM) classifier, outperforming state-of-the-art methods from the literature. In the geometry-based experiment, we achieved a 99.00 % detection rate for dermatological asymmetric lesions. In the CNN-based experiment, the best performance is found 94 % Kappa Score, 95 % Macro F1-score, and 97 % weighted F1-score for classifying lesion shapes (Asymmetric, Half-Symmetric, and Symmetric).

Micro-botanical evidence of plant food sources and stone tool functions at the Sujiacun site from the Longshan period in southeastern Shandong Province, China

During the early and middle periods of the Longshan culture (4600–4200 cal BP), early states developed around the Liangchengzhen and Yaowangcheng sites along the coastal areas of southeastern Shandong. Intensive agriculture and the specialised production of stone tools symbolised the advanced development of Longshan society. However, previous archaeological research in this area has focused mainly on the central settlements of the Longshan culture. As small and medium-sized rural settlements have not been sufficiently explored, their subsistence economy and stone tool functions remain unclear. Starch grains and phytolith assemblages in the residues on stone tool surfaces provide direct tangible evidence of the functions of these tools and offer a new perspective on the characteristics of plant resource use at archaeological sites. The Sujiacun site in Rizhao was a Longshan-period rural settlement in coastal southeastern Shandong. This study conducted starch grain and phytolith analyses of the residues on the surfaces of 17 stone tools from the Sujiacun site. Starch grains of foxtail millet (Setaria italica), broomcorn millet (Panicum miliaceum), rice (Oryza sativa), roots and tubers, and plants of the Hordeum genus were identified, as well as phytoliths of broomcorn millet and rice and those commonly found in grass stems and leaves. This micro-botanical data together with other archaeological evidence suggest that foxtail millet, broomcorn millet, and rice were the main plant foods and that mixed farming of millet and rice was the main subsistence economy at the Sujiacun site. Knives and sickles were mainly used for harvesting crops and sometimes for peeling, slicing, and chopping roots and tubers. The stone muller was used for grinding rather than dehusking grain, and the grinding stone was used not only for polishing stone tools but also for grinding plants. Our findings provide new insights into the methods of plant use and subsistence practices of the Longshan complex society on the east coast of China.

Adoption of post-harvest practices and their influencing factors: A study of ginger growers in Syangja, Nepal

Proper ginger post-harvest practices enhance quality, extend shelf life, and ameliorate market access. Prioritizing post-harvest practices in ginger can tremendously increase the market value of ginger in Nepal. Nevertheless, this cannot be done without thorough understanding about the current adoption of post-harvest practices among farmers. So, this study was carried out to know the status of adoption of post-harvest practices in ginger, examine factors associated with adoption, identify and rank major constraints of adoption. The collection of primary data involved 80 ginger growers chosen randomly from altogether 6 wards in Galyang, Waling, and Chapakot municipalities. Data entry and analysis were performed using two software: MS Excel 2021 and SPSS Version 27. The adoption status of ginger post-harvest practices was assessed and quantified using frequency distribution. The chi-square test revealed a significant association between adoption and membership (5%), extension (1%) and training (1%). However, the association between demographic factors like age, gender, education level, experiences in ginger cultivation, and the adoption of post-harvest practices in ginger was statistically non-significant. Moreover, an independent sample t-test and indexing technique were employed. Average adoption index was computed based on which high and low adopters were categorized. Notable advantages emerged for high adopters as they cultivated ginger in larger areas (p &lt; 0.01) and gained higher economic returns (p &lt; 0.05). Five constraints regarding the adoption were ranked through indexing, where a poor marketing system had the highest index value of 0.83, followed by the unavailability of improved processing technologies. In contrast, labor crisis was the least ranked constraint. This study concluded that farmers still follow the traditional methods of ginger post-harvest practices, denoting significant potential for improvement. Thus, offering impactful trainings and support to farmers in line with their recommendations can be the pivotal step towards enhancing the post-harvest practices in ginger sector in Syangja district.

Research on Visualization and Interactive Design of Plant Configuration Virtual Reality in the Context of Digitalization

This study aims to explore the application of digital technology in landscape design, focusing on the research of virtual reality visualization and interactive design in the process of plant configuration. Through an in-depth analysis of digital technology, the study outlines its important role in landscape design, especially in the application of plant configuration. The current application status of virtual reality technology in landscape design is discussed, as well as how interactive design can enhance user experience and participation. Furthermore, the achievements and challenges of digital technology in landscape design are summarized. Finally, it proposes future research directions and suggestions, aiming to provide new ideas and methods for practice and research in the field of landscape design and promote the further application and development of digital technology in landscape design.

A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice

A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice

Improving the quality of communicating with dementia patients: A virtual reality‐based simulated communication approach

AbstractDementia patients may have language barriers and decreased comprehension ability. Their family caregivers can feel frustrated when communicating with them. Poor communication hinders family caregivers from obtaining accurate health information about patients, and may also increase their emotional burden, affecting patient care quality. The present study developed a virtual reality‐based simulated communication training (VRSCT) system and applied it to a training course for family caregivers of dementia patients. It allowed family caregivers to simulate real‐world situations in a VR environment, experience the daily communication barriers and stress with dementia patients, and apply their acquired knowledge and skills to solve related problems. This study used a randomised control experimental design with mixed analysis methods. A total of 63 family caregivers were recruited and randomly divided into the experimental group (N = 32) learning with the VRSCT system to interact with virtual dementia patients and practice communication skills, and the control group (N = 31) using the traditional role‐playing method for practice. Quantitative data were analysed to determine participants' knowledge of dementia care, attitudes, communication confidence and skills. In addition, the qualitative method was used to analyse the participants' discussion records. The results showed that by using the VRSCT approach, participants significantly improved their knowledge of dementia care, attitudes, communication confidence and communication skills compared to the control group. In addition, participants reported that through the real‐time feedback of the VRSCT system, they could recognise their previous incorrect communication approach. As a result, they adjusted their communication strategies and increased their self‐confidence. Practitioner notesWhat is already known about this topic Situational simulation helps learners improve their communication skills in a safe environment. Virtual reality (VR) creates a realistic, highly interactive learning environment, allowing users to be deeply immersed in the learning experience. What this paper adds This study proposed a VR‐based simulated communication training (VRSCT) approach; moreover, seven dementia cases of different degrees of severity were designed in the VR system to enable family members to experience possible challenges of taking care of dementia patients they might encounter in their daily lives. Each case in the VRSCT system has its unique symptoms and communication barriers. The learner in the story plays a caregiver, experiencing and solving the problems and challenges posed by the system. The experimental results show that the proposed method improves learners' knowledge, attitudes, communication confidence, and communication skills related to dementia care. Implications for practice and/or policy Utilising VR training can amplify awareness and secure enhanced social support for dementia‐related challenges. Using VRSCT, as governments and institutions recognise the effectiveness of VR training, they will provide more resources and promote its widespread application.