Application Of Self Research Articles

Application of self powered black phosphorus nanosheets-based hydrogel skin patch in wound healing of diabetes

Diabetes mellitus-related chronic non-healing wounds have greatly lowered the quality of life for people afflicted and placed a heavy financial burden on the healthcare system. In order to hasten the healing of diabetic wounds, a wearable hydrogel-based triboelectric nanogenerator (BP-TENG) was created as a skin patch, which combines the beneficial effects of electrical and photothermal stimulation. The triboelectric output performance of the BP-TENG was adjusted and photothermal conversion capacity was brought about by the black phosphorus nanosheets (BPNS) doped in PVA hydrogel. In just 60 seconds, BP-TENG managed to bring the temperature of the mouse wound region up to 48.6°C under the irradiation of 808 nm near-infrared light. BP-TENG also exhibited spectral antibacterial activity against E. coli, S. aureus, and P. aeruginosa. Furthermore, BP-TENG had the ability to capture the energy from mechanical movements of mice and transform it into electrical stimulation. Under 808 nm near-infrared light irradiation, BP-TENG was shown to significantly speed the healing of skin wounds in the incision mouse model of type I diabetes. According to in vitro research, these benefits may be ascribed to photothermal and electric stimulation, which can both repair the healthy microenvironment of wound area and speed up the deposition and remodeling of collagen during the healing process of diabetic wounds. As far as we are aware, this is the first report on the creation and use of hydrogel-based TENG doped with BP for wound healing. We believe that this study improves the quality of life for patients with persistent non-healing wounds and opens up new possibilities for 2D materials and TENG in the application of wearable healthcare devices.

Self Compacting Plain Concrete for Underground Substations Construction Technology Research

In response to the L-shaped irregular shape, dense steel bars, and high requirements for the appearance of clean water in a certain underground substation, the surface appearance quality of the concrete structure is required to be high. Therefore, the use of self compacting clean water concrete construction technology is comprehensively considered. This article compares and studies the selection of concrete materials and coarse aggregate requirements through on-site sample tests, controls the water cement ratio and sand ratio, and conducts reasonable mix design. The selection of mirror red templates and the treatment of template joints ensure the quality of the formation of plain concrete, enabling the application of self compacting plain concrete construction technology in underground substations and providing reference experience for subsequent underground substation projects.

Machine learning extracts marks of thiamine's role in cold acclimation in the transcriptome of Vitis vinifera.

The escalating challenge of climate change has underscored the critical need to understand cold defense mechanisms in cultivated grapevine Vitis vinifera. Temperature variations can affect the growth and overall health of vine. We used Self Organizing Maps machine learning method to analyze gene expression data from leaves of five Vitis vinifera cultivars each treated by four different temperature conditions. The algorithm generated sample-specific "portraits" of the normalized gene expression data, revealing distinct patterns related to the temperature conditions applied. Our analysis unveiled a connection with vitamin B1 (thiamine) biosynthesis, suggesting a link between temperature regulation and thiamine metabolism, in agreement with thiamine related stress response established in Arabidopsis before. Furthermore, we found that epigenetic mechanisms play a crucial role in regulating the expression of stress-responsive genes at low temperatures in grapevines. Application of Self Organizing Maps portrayal to vine transcriptomics identified modules of coregulated genes triggered under cold stress. Our machine learning approach provides a promising option for transcriptomics studies in plants.

Analisis Penerapan Model Self Directed Learning Terhadap Kemandirian Dan Hasil Belajar Peserta Didik Kelas V Di SDN 01 Wonorejo Kecamatan Gondangrejo Tahun Pelajaran 2022/2023

The purposes of this research are: 1) To analyze the learning achievement of the teacher providing material from videos and textbooks through the messages of their parents, which of course students learn in one direction by applying the Self Directed Learning model. 2) To analyze the increase in learning independence of fifth grade students at SDN 01 Wonorejo by applying the Self Directed Learning model. 3) To analyze the increase in learning outcomes of class V students at SDN 01 Wonorejo by applying the Self Directed Learning model. The research method used is descriptive qualitative research. The subjects used were 42 students, 2 parents of students, and the class teacher. In selecting research subjects using purposive sampling technique. The data source for this research was carried out at SDN 01 Wonorejo, Gondangrejo District. Data collection techniques used are observation, interviews, and documentation. The validity of this research data uses a triagulation technique. Analysis techniques using: 1) data collection, 2) data reduction, 3) data presentation, 4) drawing conclusions. The results of this study are: 1) The application of Self Directed Learning carried out by Class V teachers at SDN 01 Wonorejo is that the teacher gives learning problems with healthy material, it is important that the sub-material explains that my blood circulation is healthy by showing students videos based on the Android application Tik-Tok. After that the teacher gives students the opportunity to ask questions and formulate problems. Students become more active and creative in completing each lesson 2) The application of the Self Directed Learning model can increase the learning independence of fifth grade students at SDN 01 Wonorejo, namely being able to have a positive influence on student motivation to be more independent on time doing exercises and be more active in participating in learning compared to learning using the 2013 curriculum method. 3) The application of the Self Directed Learning model can improve the learning outcomes of fifth grade students at SDN 01 Wonorejo by making students brave and confident in expressing opinions and the results of their own assignments.

The Application of Self- and Peer- Assessment to English Writing in Senior High School

English writing can be seen as an overt manifestation of one’s English competence. While in China, it’s not easy for students to write an excellent composition with few language errors. Various problems will be found in students’ written product, such as, vocabulary problem, grammatical problem and discourse problem. Hence, in order to solve these problems in English writing and cultivate students’ English writing ability, feedback efficiency has gained great attention in English writing teaching. Self-assessment and peer-assessment are ways to give feedback in English writing to enrich the validity and efficiency of assessment. Hence, this research aims to apply research analysis method to study the application of self-assessment and peer-assessment to English writing in senior high school, and provide some suggestions for English teaching.

Diversity, structure, and application of self organizing map on plant species in homegardens

Diversity, structure, and application of self organizing map on plant species in homegardens

The Application of Self Organized Learning Environment (SOLE) Learning Model on Learning Outcomes of German Language Teaching Planning Course

The implementation of Distance Learning (PJJ), carried out at the German Language Education Study Program at Pattimura University, is inseparable from various obstacles that hinder the lecture process, one of which is the learning outcomes obtained by students. This study is quasi-experimental quantitative research, namely One-Group Pretest-Posttest, to test the effect of the application of the Self Organized Learning Environment (SOLE) learning model on student learning outcomes in the German Language Teaching Planning Course. The sample consisted of 30 5th-semester students of the German Language Education Study Program. The instrument used in this study was tests. The results of the data analysis showed that the students’ posttest was higher than the pretest, with an average score (mean) of the pretest = 74.93 and an average score (mean) of the posttest = 89.86. This result means that there is an influence in the application of the SOLE model on the students’ learning outcomes.

Self-assembled monolayer silver nanoparticles: Fano resonance and SERS application

Plasmonic response of noble metal nanoparticle are of fundamental interest in nanophotonic applications, such as photocatalysis, information storage, sensing, optical switches, and nonlinear optics. We comprehensively investigate the Fano resonance and SERS (surface–enhanced Raman scattering) application of self–assembled monolayer silver nanoparticles using commercial FDTD (finite difference time domain) solver, cartesian multipole decompositions method, two coupled oscillators model and experiments. We found that the higher–energy antibonding mode is not only from the antibonding dipole–dipole mode (ADD), but also from the antibonding quadrupole–quadrupole mode (AQQ) and the hybridized magnetic mode when the particle size is relatively large in homodimer, as for the heterodimer, the case will change even more. The effects of dimer gap and size are discussed in details. A two coupled oscillators model is used to illustrate the mechanism of the Fano resonance, and the energy storage as a function of radiation loss and intrinsic loss in the plasmonic system is qualitatively evaluated, which is directly related to the near–field enhancement. Finally, SERS (surface–enhanced Raman scattering) experiments are carried out to meet the numerical results, and the SERS performance is also investigated and given.

Application of Self - Cleaning Filters in the Removal of Turbidity from River Water: Pilot Study

Enhanced treatment of river water was investigated by the modified coagulation-flocculation process for the application of self-cleaning filters (SCF’s) in the removal of turbidity using a combination of Alum and Sudfloc 3880. This study is aimed to improve the removal of iron and turbidity concentrations from river water and reduce water loss. This is achieved by piloting innovative water treatment technologies such as the SCF’s Plant. The new technology further assessed the effectiveness, efficiency, and operability of the SCF’s Plant by varying certain operational parameters such as water flow, differential pressures, coagulant, and flocculent dosages. The results established in this study critically analyze the feasibility of deploying water treatment technologies such as the SCF Plant in areas with similar environmental conditions and/or facing similar water treatment challenges. The removal efficiencies of turbidity were about 40 % and further optimization will be continued until 90 % to 100 % is achieved. The average removal efficiency of turbidity was 40 % and achieved at a 250 m3/h flow rate. The average removal across all flow rates was over 20 %. Further optimization of the RF14 will be carried out using other chemical combinations and formulations at various process settings while bypassing the PLF filters. The PLF elements will be brought into service to further reduce the turbidity after the optimization of the RF14. Keywords: Water, Treatment, Coagulation, Flocculation, Processes, Technologies, Filters *

Self-cleaning Technique: Working Mechanism, Utility in Textile Products and Existing Challenges

सारांश सेल्फ क्लीनिंग (स्वतः-सफाई) की अवधारणा का हमारे दैनिक जीवन में व्यापक अनुप्रयोग है। मानव द्वारा उत्पादित किसी भी वस्तु में यदि सेल्फ क्लीनिंग की क्षमता विकसित है तो व्यावसायिक दृष्टि से उसकी बिक्री और उपयोगकर्ता के रूप में उसकी व्यापक स्वीकार्यता बढ़ सकती है। बिल्डिंग निर्माण, स्वास्थ्य क्षेत्र, एयरोस्पेस, परिवहन और वस्त्र जैसे अनेक उद्योगों में सेल्फ क्लीनिंग मैटेरियल्स का उपयोग दिन-प्रतिदिन बढ़ रहा है। प्रस्तुत आलेख वस्त्रों के परिप्रेक्ष्य में सेल्फ क्लीनिंग के महत्व को संकलित करता है। वस्त्रों की सतह को अतिजलरोधी (सुपरहाइड्रोफोबिक) बनाकर सेल्फ क्लीनिंग मैटेरियल्स की कार्य पद्धति पर विस्तार से चर्चा की गई है। वस्त्रों में सेल्फ क्लीनिंग की क्षमता विकसित करने के लिए प्रकाश उत्प्रेरक की भूमिका की भी विस्तृत ढंग से व्याख्या की गयी है। इसके अलावा, आलेख में वस्त्रों पर सेल्फ क्लीनिंग सामग्री के अनुप्रयोग के तरीकों और वर्तमान में मौजूद उनकी चुनौतियों पर भी चर्चा है। Abstract The concept of self-cleaning has immense applications in our day to day life. Self-cleaning ability of a product promises its unique selling preposition in the market and ensures its wide acceptability among its end users. Self cleaning materials have got their applications in industry like building construction, healthcare, aerospace, transport and textiles. The present article compiles the importance of self-cleaning property in perspectives of textiles. The mechanism of working of self cleaning materials on superhydrophobic surface has been discussed in length. The role of photocatalysts to impart self-cleaning ability in textiles has also been elaborated. In addition to this, methods of application of self cleaning materials on textiles and their existing challenges are also discussed. Keywords: lotus leaf effect, photocatalyst, self cleaning, superhydrophobic, TiO 2

Application of Self Directed Learning Model to Improve Student's Independence and Critical Thinking Skills

The lack of active involvement of students in learning is caused by the lack of students' skills in critical thinking, for example, by asking questions, expressing opinions, and solving problems so that students only memorize existing concepts, theories, and formulas without wanting to dig further to be understood in depth. This study aims to determine the increase in independence and critical thinking skills on momentum and impulse material at SMAN 9 Banda Aceh. The method in this study was quasi-experimental, then the instruments used were questionnaire sheets, observation sheets, and questions. The results of the study indicate that the application of the Self Direct Learning learning model can increase student learning independence. The results of the t-test analysis (independent sample t-test) obtained a significance value of 0.000 <0.05, meaning that there is a significant difference in the average learning independence of students in the experimental class and the control class. The application of the self-directed learning model can improve students' critical thinking skills. The results of the analysis of students' Critical Thinking Skills obtained a significance value of 0.000 <0.05, meaning that there was a significant average difference between students' critical thinking skills in the experimental class and the control class. The conclusion in this study proves that the Self Direct Learning model can increase students' learning independence and Critical Thinking Skills on momentum and impulse materials

Image‐Guided TME‐Improving Nano‐Platform for Ca2+ Signal Disturbance and Enhanced Tumor PDT (Adv. Healthcare Mater. 19/2021)

Photodynamic Therapy In article number 2100789 by Jinsheng Shi, Xiaoying Kong, and co-workers, the combined strategy of UCRSPH and SA CaO2 nano platform strategy achieves the combined application of self reinforcing PDT, Ca2+ ion interference therapy and multi means in situ imaging in the diagnosis and treatment of tumors, which is of great significance for improving the clinical therapeutic effect of tumors for precise in tumor imaging and therapy in vivo.

Review on self compacting concrete with manufactured sand

With the decrease of natural sand, the manufactured sand is used instead of natural sand to prepare concrete. The research and application of self compacting concrete with manufactured sand in recent years are reviewed in the paper, including influence of the content of stone powder, aggregate gradation to self compacting concrete with manufactured, and the problems and the future work are proposed.

Fixing state change inconsistency with self regulating particle swarm optimization

Software has made a profound influence in all walks of life. Developing quality software is a major challenge, and the consistency and completeness of the design has a prime role in the development of quality software. Many a times, the process of consistency checking in industries is manual. Artificial intelligence techniques can replace many of these manual efforts to make the development of software easier and cost-effective. Software developers use state diagrams to represent the dynamic behavior in the design stage. We propose a novel application of self regulating particle swarm optimization (SRPSO) algorithm to ensure consistency of state diagrams during the design phase of software development. Inconsistency management is modeled as an optimization problem. In this work, we detect two types of state change inconsistency, incompatible behavior inconsistency and disconnected model inconsistency. A fitness function is defined to detect inconsistency. We make use of the SRPSO algorithm to resolve inconsistency. Detecting inconsistencies in the early stages of software development enables phase containment of errors and prevents errors from being propagated to the code. The proposed approach generates consistent and complete state diagrams leading to accurate code generation, meeting time deadlines, reducing cost of production and easy system maintenance.

Toward the implementation of self-powered, wireless, real-time reactor power sensing

The successful development of real-time, self-powered, wireless reactor power sensing technology would enable key operating parameters of every fuel assembly in a commercial reactor core to be continuously monitored, and potentially be utilized for applications such as closed-loop reactor control. This paper discusses the expansion of successful work on the application of Self Powered Neutron Detectors (SPND) for reactor power monitoring and the wireless transmission of these detector signals using advanced vacuum micro-electronic (VME) transmitter technology developed by Westinghouse in collaboration with the Penn State University Radiation Science and Engineering Center. Results demonstrate that this technology may be successfully applied via long-term testing in the Penn State TRIGA reactor. SPND are inherently slower than, for example, ion chambers due to their dependence on radioactive decay to generate a signal. Additional research developed delay compensation algorithms to accelerate the response of these detectors for use in near-real-time closed-loop reactor control. Initial results indicate that practical signal acceleration can be obtained digitally or with an equivalent analog circuit. Future research will apply an inverse model of the sensor’s balance differential equations to more-effectively accelerate the SPND signal. Use of inverse models will also prove to be adaptive in the sense that time-dependent burn-up of these detectors, due to neutron activation of the detector material, can be modeled and applied in the acceleration algorithm.

APPLICATION OF SELF–CLEANING TREATMENT ON COTTON AND PES/CO FABRIC USING TiO2 AND SiO2 COATING SYNTHESIZED BY SOL–GEL METHOD

The photocatalytic activity of TiO2–SiO2 coated and TiO2 coated on 100% cotton and PES/Co fabrics was investigated through the self–cleaning of red wine stains and coffee stains. It was shown that a TiO2 species could be produced at temperatures of 25 °C, 40 °C and 60 °C with acceptable photo–activity and TiO2–SiO2 nanocomposites were prepared by a sol–gel process at a low temperature. The discoloration of red wine and coffee led to CO2 evolution that was more efficient for TiO2–SiO2 coated cotton for samples than of TiO2 coated ones. The textile surface did not show any change after several consecutive light–induced discoloration cycles of a red wine stain and coffee stain. The structural properties of these nanocomposites were characterized with scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FT–IR). The scanning electron microscope (SEM) photo showed that the TiO2–SiO2 layer is thicker than TiO2 layer on the cotton fabric and PES/Co fabric and the Ti–particles were always surrounded by amorphous SiO2 and never alone by themselves. The TiO2–SiO2 nanocomposites were coated onto cotton and PES/Co fabrics by a simple dip–pad–dry–cure process.

Application of self organizing map in construction, geology and petroleum industry

In recent years, Artificial Intelligence (AI) has become an emerging subject and been recognized as the flagship of the Fourth Industrial Revolution. AI is subtly growing and becoming vital in our daily life. Particularly, Self-Organizing Map (SOM), one of the major branches of AI, is a useful tool for clustering data and has been applied successfully and widespread in various aspects of human life such as psychology, economic, medical and technical fields like mechanical, construction and geology. In this paper, the primary purpose of the authors is to introduce SOM algorithm and its practical applications in geology and construction. The results are classification of rock facies versus depth in geology and clustering two sets of construction prices indices and building material costs indice.

Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps

Understanding and managing water quality in drinking water distribution system is essential for public health and wellbeing, but is challenging due to the number and complexity of interacting physical, chemical and biological processes occurring within vast, deteriorating pipe networks. In this paper we explore the application of Self Organising Map techniques to derive such understanding from international data sets, demonstrating how multivariate, non-linear techniques can be used to identify relationships that are not discernible using univariate and/or linear analysis methods for drinking water quality. The paper reports on how various microbial parameters correlated with modelled water ages and were influenced by water temperatures in three drinking water distribution systems.

Improving the Understanding of Psychological Factors Contributing to Horse-Related Accident and Injury: Context, Loss of Focus, Cognitive Errors and Rigidity.

Simple SummaryThere is a high risk of injury for people involved with horses in their work or recreational pursuits. High risks are particularly evident for racing employees and veterinarians. Elevated risks of injury may be associated with misjudging how to handle situations, reduced attention caused by distractions, taking a general view, and failing to consider other strategies that may reduce risks. To improve safety for humans and horses, it is important to identify safety strategies that are flexible, focused and specific.While the role of the horse in riding hazards is well recognised, little attention has been paid to the role of specific theoretical psychological processes of humans in contributing to and mitigating risk. The injury, mortality or compensation claim rates for participants in the horse-racing industry, veterinary medicine and equestrian disciplines provide compelling evidence for improving risk mitigation models. There is a paucity of theoretical principles regarding the risk of injury and mortality associated with human–horse interactions. In this paper we introduce and apply the four psychological principles of context, loss of focus, global cognitive style and the application of self as the frame of reference as a potential approach for assessing and managing human–horse risks. When these principles produce errors that are combined with a rigid self-referenced point, it becomes clear how rapidly risk emerges and how other people and animals may repeatedly become at risk over time. Here, with a focus on the thoroughbred racing industry, veterinary practice and equestrian disciplines, we review the merits of contextually applied strategies, an evolving reappraisal of risk, flexibility, and focused specifics of situations that may serve to modify human behaviour and mitigate risk.

The Effectiveness of Health Education Program by Application Self-Efficacy and Group Process on Exercise Promoting Behavior with Thai Esan Folkdance (Zerng) among Elderly

Through the demographic transition the proportion of elderly in Thailand increases. The health of the elderly is affected by chronic diseases among other reasons due to unhealthy behavior. Thai Esan Folk Dance (Zerng) might be good for health since the rhythmic activities applied helps in exercising. The dance is a traditional heritage of the Northeastern region. This quasi-experimental research aimed to investigate the effectiveness of a health education program by the application of self – efficacy and a group process on exercise promoting behavior with Thai Esan Folk Dance (Zerng) among elderly. The participants were elderly aged 60 to 69 years. They were divided into an experimental and a control group of 43 participants each. The experimental group was exposed to the health education program that comprised of different facets such as lectures, distribution of handbooks, exercises, group process initiating, modeling, training and practice the Thai Esan Folk Dance (Zerng). The intervention was implemented for 12 weeks. Data was collected before and after the intervention from both groups by interviews. Ordinary descriptive statistics were used for assessing the outcome of the study and for analytical purposes inferential statistics such as the paired t-test and the independent t-test was applied. Statistical significance was set at p<0.05 with95% confidence intervals (95%CI). After implementation, the experimental group had significantly higher mean scores of knowledge, perceived self-efficacy of exercise, outcome expectation of exercise, and exercisable practice than before the implementation and the control group at p-value<0.001. The experimental group liked the exercise by the Thai Esan Folk Dance (Zerng) very much. It is suggested that the Thai Esan Folk Dance (Zerng) exercise should be promoted for groups of elderly within communities. Keyword: Exercise Promoting Behavior with Thai Esan Folk Dance (Zerng), Self–efficacy Theory, Group Process