Developed Method Research Articles

An Automated Data-Driven Approach for Product Design Strategies to Respond to Market Disruption Following COVID-19

Abstract Online reviews provide a source to identify customer needs. While many studies have analyzed online reviews during the pandemic, it is worth noting that many customer preference studies in this period were not conducted within a product design context. The societal challenges presented by the prolonged COVID-19 pandemic, spanning nearly three years, have significantly impacted all facets of the population in a manner unparalleled in recent decades. Therefore, this research delves into the post-COVID-19 landscape, examining shifts in consumer preferences for diverse product features through an analysis of online reviews. Our framework unfolds in five stages: First, it collects online reviews and second, delves into customer interest in product features. Third, it analyzes customer sentiments toward these features. Fourth, employing interpretable machine learning techniques, it determines the significance of each feature. Fifth, an importance-performance analysis (IPA) and Kano models are utilized to formulate and analyze product strategies. The developed method is assessed on two real-world datasets—smartphone and laptop reviews. The results reveal that after the pandemic, customer satisfaction for the screen and camera in smartphones decreased, whereas it increased for those in laptops. In addition, the importance of battery features in smartphones and laptops has increased. These insights will aid companies in promptly formulating strategies to navigate dynamic market environments.

The Quality and Cultural Safety of Online Osteoarthritis Information for Affected Persons and Health Care Professionals: Content Analysis.

Osteoarthritis is more prevalent and severe among women than among men, but women are less likely to access early diagnosis and first-line management, particularly racialized immigrant women. Previous research advocated for greater access to culturally safe osteoarthritis information for both diverse women and health care professionals. The internet can reduce disparities by facilitating access to health information, but online materials can vary in quality. This study aimed to assess the quality and cultural safety of online osteoarthritis materials for persons affected by osteoarthritis and health care professionals. Content analysis was used to describe publicly available materials on osteoarthritis first-line management developed by Canadian organizations for affected persons or health care professionals. Searching, screening, and data extraction were performed in triplicate. We identified materials by searching Google, MEDLINE, and references of osteoarthritis-relevant guidelines and policies, and consulting our research team and collaborators. We assessed quality using DISCERN (University of Oxford) and a compiled framework for affected persons and health care professionals. We compiled frameworks to assess cultural safety. We derived an overall score, categorized as low (<50%), moderate (50%-69%), or high (≥70%+) for criteria met. After screening 176 items and eliminating 129, we included 47 osteoarthritis materials published between 2013 and 2023. Of those, 43 were for persons with osteoarthritis, most were developed by charities (n=31, 72.1%), based on expert advice (n=16, 55.2%), and in the format of booklets (n=15, 34.9%) or text on web pages (n=10, 23.3%). Of those, 23.3% (10/43) low, 46.5% (20/43) moderate, and 30.2% (13/43) high scored quality; and 25.6% (11/43), 48.8% (21/43), and 25.6% (11/43) were rated low, moderate, and high cultural safety, respectively. Of the 47 included osteoarthritis materials, 4 were for health care professionals. They were developed by a consortium (2/4, 50%), a charity (1/4, 25%), and a professional society (1/4, 25%), and largely based on expert advice (3/4, 75%). The format included infographics (3/4, 75%) and text on web pages (1/4, 25%). Of those, 25% (1/4), 25% (1/4), and 50% (2/4) were rated low, moderate, and high quality, respectively; and all were rated low for cultural safety. Quality and cultural safety did not appear to be associated with the characteristics of osteoarthritis materials (eg, type of developer, development method, and format). Overall, included osteoarthritis materials for persons with osteoarthritis and health care professionals were of low to moderate quality and cultural safety. These findings reveal the need for further efforts to improve existing or develop new osteoarthritis materials for both affected persons, including ethnoculturally diverse immigrant women, and health care professionals. Further research is needed to assess the quality and cultural safety of osteoarthritis materials developed by organizations outside of Canada and to establish a framework or instrument to assess cultural safety in the osteoarthritis context.

An AI-driven multiscale methodology to develop transparent wood as sustainable functional material by using the SSbD concept

Efficient design, production, and optimization of new safe and sustainable by design materials for various industrial sectors is an on-going challenge for our society, poised to escalate in the future. Wood-based composite materials offer an attractive sustainable alternative to high impact materials such as glass and polymers and have been the focus of experimental research and development for years. Computational and AI-based materials design provides significant speed-up the development of these materials compared to traditional methods of development. However, reliable numerical models are essential for achieving this goal. The AI-TranspWood project, recently funded by the European Commission, has the ambition to develop such computational and AI-based tools in the context of transparent wood (TW), a promising composite with potential applications in various industrial fields. In this project we advance the development specifically by using an Artificial Intelligence (AI)-driven multiscale methodology.

Boosting Thermogalvanic Cell Performance through Synergistic Redox and Thermogalvanic Corrosion.

Thermogalvanic cells with organic redox couple (OTGCs) have received significant attention for low-grade heat harvesting due to their high thermopower, versatile molecular design, and tailorable physiochemical properties. However, their thermogalvanic conversion power output is largely hindered by slow kinetic rate, which limits practical applications. In this work, we demonstrate a high-performance liquid quinone/hydroquinone (Q/HQ) based OTGC by synergistic coupling redox reaction and thermogalvanic corrosion. By adding hydrochloric acid (HCl) into electrolyte solution, HCl not only boosts intrinsic redox kinetic rate of Q/HQ, but also induces rapid thermogalvanic corrosion of the copper electrode. Notably, these two processes reinforce each other kinetically. Consequently, the Q/HQ-based OTGC exhibits a rapid kinetic rate alongside an increased thermopower, leading to a significantly enhanced power output density. As a result, the Q/HQ-based OTGC achieves an enhanced effective electrical conductivity σeff of 4.22 S m-1 and a record high normalized power density Pmax (ΔT)-2 of 108.7 μW m-2 K-2. This strategy provides a feasible and effective method for development of high-performance OTGCs.

The role of multisensory intervention combined with aEEG in the maturation and evaluation of brain and neural development in premature infants of different gestational ages

Objective: To explore the combined effects of multisensory intervention and amplitude integrated electroencephalogram monitoring on the maturation and evaluation of brain and neural development in premature infants of different gestational ages.Methods: The controlled trial was carried out in 62 premature infants from January to February of 2023 in Genertec AMHT – Baogang Hospital. The premature infants were divided into two groups according to the gestational age: 32-33+6W (Group A) and 34-33+6W (Group B). By use of random number table method, each group was subdivided into the control group and the experimental group. The control group was monitored with aEEG within 1 day and the following 7 days after birth. The experimental group was monitored with aEEG within 1 day and the following 7 days after multisensory intervention (MS) to observe the change of aEEG parameters, in order to explore the effect of MS intervention on brain development maturity. The Neonatal Behavioral Neurological Assessment (NBNA) score was performed at 40 weeks of corrected gestational age in both groups.Results: The amplitude voltage, the total aEEG score and the sleep-wake cycle score in the experimental group were higher than those in the control group (p &lt; .05). The total NBNA score in the experimental group was higher than that in the control group.Conclusion: The multi-sensory intervention is a simple and feasible method of development support nursing, it can improve the total NBNA score of premature infants, which can promote the brain development in premature infants and improve their neurodevelopmental behavior.

Adaptive probe position correction for automated complex weld inspection based on structural signal monitoring

ABSTRACT To ensure comprehensive coverage of welds, multi-axis motions are necessary for the probe during the automatic detection of complex welds. Guaranteeing the effectiveness of ultrasonic data during this process is crucial for ensuring detection accuracy and reliability. Taking tubular Y-joints as an example, this paper presents an adaptive probe posture correction method based on structural signal monitoring: (1) The structural and acoustic model of tubular Y-joints is established to select and predict the target structural signal. (2) Feature extraction and signal tracking algorithms are developed to achieve real-time monitoring of signals. (3) A posture correction method is proposed based on signal characteristics: time-domain characteristics correspond to position adjustments, while amplitudes correspond to orientation corrections. Building upon this, a feedback mechanism for probe posture is established. The effectiveness of the developed method is verified through underwater automatic detection experiments of tubular Y-joints. Results demonstrate that, with the assistance of the probe posture correction method, the coverage of the effective area increases to more than 95%, and embedded defects are fully detected through a single scan. In conclusion, the adaptive probe posture correction method based on structural signal monitoring presents a promising approach for the automatic ultrasonic examination of complex welds.

Study on the Emission Reduction Effect of China's OFDI in Countries along the Belt and Road

With extreme weather events occurring more frequently around the world, urgent action on climate change is becoming increasingly urgent. In the countries along the "Belt and Road", many adopt extensive development methods and face increasing pressure on carbon emissions. This paper explores the impact of China's outward direct investment (OFDI) on carbon dioxide (CO2) emissions from 108 countries along the route that have joined China's Belt and Road Initiative, reported by Xinhua News Agency, from 2005 to 2020. The findings show that China's OFDI helps reduce carbon emissions in host countries, strongly refuting the claim that China's OFDI poses an environmental threat. At the same time, OFDI has promoted the spread of environmental protection technology and industrial upgrading in countries along the route, especially in developing countries, which may bring the phenomenon of "pollution halo". Based on the results of the study, it is suggested that China and countries along the "Belt and Road" should carry out international environmental technology exchanges and cooperation, and strengthen green and low-carbon investment in these countries. These cooperation measures will help push countries along the Belt and road towards a more sustainable development path and jointly address the challenge of global climate change.

Spectral and optic-metric methods of monitoring parameters of plasma channels caused by discharge currents between metals granules in working liquids

Introduction. Spark-erosion processing of metals and alloys granules in working liquids is the basis of a several technological processes. Efficiency of energy use in them and parameters of the resulting product largely depend on the accuracy of stabilization and regulation of pulse power in each plasma channel between the granules. To achieve this, until now only the voltage and current of the discharge pulses in the entire layer of granules have been controlled. Problem. The measurement methods, which are used, are not effective enough for monitoring the parameters of individual plasma channels and predicting the size distribution of eroded metals particles at the stage of their formation. The aim of the work is to develop a method for determining the volumes of components of plasma channels in layers of metals granules during their spark-erosion treatment to predict the size distribution of eroded metal particles at the stage of their formation, as well as to simplify the method of spectrometric analysis of the elemental composition of substances surrounding plasma channels for the operational prediction of the chemical composition of resulting products. Methodology. A series of experiments were carried out on spark-erosion processing of Al and Ag granules layers in distilled water. Using a digital camera, images of the plasma channels in them were obtained. Based on the theory of pulsed electrical breakdown of liquid dielectrics, an analysis of the components of plasma channels was carried out. Using the specialized ToupView program, the volumes of equivalent ellipsoids of rotation were determined, approximating the halos of colored radiation likely arising from streamers, as well as the spark cores of plasma channels emitting white light. The shades of the resulting radiation were studied for several metals and working liquids. The obtained data were compared with the known results of spectrometric studies for the same elements excited by similar mechanisms. Results. The theory of discharge-pulse systems for spark-erosion processing of granular conductive media has been developed in the direction of new methods for monitoring the parameters of discharge pulses and predicting the chemical composition and size distribution parameters of eroded metal particles at the stage of their production. An optic-metric method has been developed for determining the volumes of halos and cores of plasma channels. A simplified spectral method for determining the chemical composition of erosion particles based on the shade of the resulting radiation was proposed. Originality. The developed new optic-metric method makes it possible to obtain information about almost every plasma channel, which refines predictions of the size distribution of erosion particles. To implement the method, general-purpose hardware and specialized software that is freely available are used. The developed method of simplified spectral analysis of excited atoms makes it possible to make preliminary predictions of the chemical composition of the obtained erosion particles already at the stage of their formation without the use of expensive specialized equipment. Practical significance. The ratio of the volumes of halos and cores of plasma channels between Al and Ag granules in distilled water was measured. An analysis of the emission spectra of plasma channel halos between Al, Ag and Cu granules in distilled water, Fe in ethyl alcohol, Ni-Mn-Ga and Ti-Zr-Ni alloys in liquid nitrogen, and Ti-Zr-Ni in liquid argon was carried out. Based on spectrometry data, the resulting shades of these radiations were substantiated and their description in the RGB system is given. References 56, table 1, figures 4.

Closed Circuit of 3-Dimensional Polymer Powders

This article describes the most important stages of testing the levels of innovative readiness of a new machine and material construction solutions for closed loops of polymer powders in 3D additive manufacturing. The aim of this study was to indicate the state and directions of development of the technology of geometric recycling of polymer powders in 3D additive manufacturing, the need to control the geometric quality of the powders, and the quality of the design of machines for their processing in a closed circuit. The method was aimed at creating a strategy and verifying the stages of development of a new idea for stabilizing the geometric and dynamic design features of polymer powders for additive manufacturing (3D printing). Connections and relationships of the variable design features of powders, machines and devices with variable postulated states of products and processes allowed for the analysis, knowledge, description and development of variables for stabilizing geometric features of polymer powders in recycling. The results show the possibilities of supporting innovative creativity according to the adopted method, allow for determining the level of compliance of the quality of the products of the technical system, the effectiveness of preparatory processes for recycling and the non-toxicity of the products and processes of the new technology and their closed loop. The goal of developing useful design values, according to an integrated method of analysis, assessment and environmental development, was achieved, including the proposal of design features of razor blade shredders, supported by genetic algorithms, and devices for stabilizing polymer powders in additive manufacturing with recycling.

Data note on the Avian Contact Study: a questionnaire resource for avian influenza public health planning

The Avian Contact Study is a cross-sectional questionnaire of poultry workers and other individuals who have contact with domestic and/or wild birds in the UK. The questionnaire was launched online in May 2024 and in-person responses were gathered at the British Pig and Poultry Fair in Birmingham on 15 and 16 May 2024. This Data Note documents questionnaire development, content and delivery methods. Data collected include information on demographics, seasonal influenza vaccination, avian influenza exposure, contact with birds and people, and awareness of avian influenza. This Data Note provides insights into the first data release collected up to 31 July 2024 for 225 respondents. Data have been released as a University of Bristol held dataset available upon request. The Avian Contact Study provides a pilot resource for research into avian influenza from a zoonotic perspective.

Quantitative Determination of Volatile N-Nitrosamines in Meat Products Using Gas Chromatography Coupled to an Ion Mobility Spectrometer with an Ammonia Dopant.

Herein, we develop a novel method using gas chromatography-ion mobility spectrometry (IMS) with an ammonia dopant for the determination of volatile N-nitrosamines in meat products. The IMS system was implemented with Fourier deconvolution multiplexing to simultaneously improve the resolving power and sensitivity. The ammonia dopant mitigated the formation of N-nitrosamine dimer ions, suppressing the ionization of interferents and shifting the reactant peak from hydrated protons to hydrated ammonium ions. The ammonium adduct product ions of N-nitrosamines were confirmed using time-of-flight mass spectrometry. The instrument limits of detection and quantitation for nitrosamines were 0.78-1.79 and 2.60-5.82 ng/mL, respectively, with recoveries between 71.39% and 110.59% using a simple water distillation method. The developed method showed satisfactory performance when applied to the detection of nitrosamines in various meat products.

The other side of the paper as the evidence: impacts of fingermark development reagents on fingermark development and cocaine amount in cocaine-impregnated paper.

Despite various preventative measures, cocaine smuggling is still a major problem worldwide. A recent method of smuggling is the transportation of cocaine with various chemicals or with impregnated materials such as cloth and paper. This study aims to examine the change in the amount of cocaine on the paper surface and attempts to decide the best fingermark development method in the case of smuggling trafficking in the form of impregnated paper with the least effect on the cocaine concentration on the paper. The papers (n = 6 + 1) were prepared for each fingermark development method, including a blank paper, were dipped into a working solution prepared by dissolving 0.38mg cocaine in 500 mL methanol. Fingermarks were developed by applying various chemicals, including Iodine vapor, 1,2-Indandione, DFO (1,8-diazafluoren-9-one), ThermaNin, 5-MTN (5-methylthioninhydrin), and silver nitrate chemicals and Ninhydrin, which is the most commonly used reagent for visualizing latent prints, particularly on paper surfaces. Also, the natural fingermarks of four different donors, two women and two men between 20 and 50 years of age, were used to compare with the presence of cocaine. Different from others, this study examined the application of DFO and 1,2-Indandione as alternatives to other chemicals and revealed that it is possible to identify cocaine using these methods. The order of success was Ninhydrin > DFO > 1,2-Indandione > ThermaNin > Iodine vapor = 5-MTN. To the best of our knowledge, the current study is the first to investigate fingermark identification methods along with the amounts of cocaine on cocaine-impregnated papers.

Spectrophotometric determination of olanzapine, fluoxetine HCL and its impurity using univariate and chemometrics methods reinforced by latin hypercube sampling: Validation and eco-friendliness assessments

Novel univariate and chemometrics-aided UV spectrophotometric methods were tailored to undergo the fundamentals of green and white analytical chemistry for the simultaneous estimation of a ternary mixture of olanzapine (OLA), fluoxetine HCL (FLU), and its toxic impurity 4-(Trifluoromethyl) phenol (FMP) without any prior separation. The dual-wavelength ratio spectrum univariate method was used to determine OLA and FLU in the presence of FMP in the range of (4–20) and (5–50) μg/ml, respectively. In compliance with the International Conference on Harmonization (ICH) standards, the technique was validated and established Remarkable accuracy (98–102%) and precision (< 2%) with limits of quantification (LOQs) of 0.432 and 2.002 μg/ml, respectively. Partial least squares (PLS) and artificial neural networks (ANNs) are chemometric methodologies that have advantages over the univariate method and use significant innovations employing Latin hypercube sampling (LHS), allowing the generation of a reliable validation set to guarantee the effectiveness and sustainability of these models. The concentration ranges used were (2–20), (2–20), and (5–50) μg/ml; for PLS, the LOQs were 0.602, 0.508, and 1.429 μg/ml, and the root mean square errors of prediction (RMSEPs) were 0.087, 0.048, and 0.159 for OLA, FMP, and FLU, respectively; and for ANNs, the LOQs were 0.551, 0.465, and 0.965 μg/ml, with RMSEPs of 0.056, 0.047, and 0.087 for OLA, FMP, and FLU, respectively. The developed methods yield a greener National Environmental Methods Index (NEMI) with an eco-scale assessment (ESA) score of 90 and a complementary Green Analytical Procedure Index (complex GAPI) in quadrants with an analytical greenness metric (AGREE) score of 0.8. The Red‒Green–Blue 12 algorithm (RGB 12) scored 88.9, outperforming on reported methods and demonstrating widespread practical and environmental approval. Statistical analysis revealed no noteworthy differences (P > 0.05) among the proposed and published techniques. Both pure powders and pharmaceutical capsules were analyzed via these methods.

Simultaneous and High-Throughput Analytical Strategy of 30 Fluorinated Emerging Pollutants Using UHPLC-MS/MS in the Shrimp Aquaculture System.

This study established novel and high-throughput strategies for the simultaneous analysis of 30 fluorinated emerging pollutants in different matrices from the shrimp aquaculture system in eastern China using UHPLC-MS/MS. The parameters of SPE for analysis of water samples and of QuEChERS methods for sediment and shrimp samples were optimized to allow the simultaneous detection and quantitation of 17 per- and polyfluoroalkyl substances (PFASs) and 13 fluoroquinolones (FQs). Under the optimal conditions, the limits of detection of 30 pollutants for water, sediment, and shrimp samples were 0.01-0.30 ng/L, 0.01-0.22 μg/kg, and 0.01-0.23 μg/kg, respectively, while the limits of quantification were 0.04-1.00 ng/L, 0.03-0.73 μg/kg, and 0.03-0.76 μg/kg, with satisfactory recoveries and intra-day precision. The developed methods were successfully applied to the analysis of multiple samples collected from aquaculture ponds in eastern China. PFASs were detected in all samples with concentration ranges of 0.18-0.77 μg/L in water, 0.13-1.41 μg/kg (dry weight) in sediment, and 0.09-0.96 μg/kg (wet weight) in shrimp, respectively. Only two FQs, ciprofloxacin and enrofloxacin, were found in the sediment and shrimp. In general, this study provides valuable insights into the prevalence of fluorinated emerging contaminants, assisting in the monitoring and control of emerging contaminants in aquatic foods.

Pengaruh Faktor Pengembangan Sumber Daya Manusia terhadap Tingkat Produktivitas Kerja Pegawai Negeri Sipil pada Badan Perencanaan Pembangunan Daerah Kabupaten Fakfak

Human resource development both those working in the public sector (Civil Servants, SOE Employees, BUMD Employees) and sectors. Talking about organizational problems is inseparable from the element of human resources. The definition of human resources is people in an organization who participate and contribute according to their respective fields of duty. Human resource development will indeed not see results quickly, but in the long term, this investment will yield results that meet the expectations of the organization.In this sense, the term development will include the meaning of training and education, namely as a means of improving skills and general knowledge for human resources, in this case Civil Servants who work at the Fakfak Development Planning Agency. In the work unit at the Fakfak Development Planning Agency, it can be achieved well if there is a Civil Servant development program.This study aims to find out the influence of human resource training and development factors on the productivity of civil servants on the Fakfak Regency BAPPEDA and to find out the most dominant variables of human resource training and development factors affecting the productivity of civil servants in the Fakfak Regency BAPPEDA.The research methods used are quantitative and qualitative research methods. Based on the results of important findings of the Civil Servant Development Method research, there are 2 (two) methods of employee development, namely the on the job training method and the off the job training method.

GAME BOARD TO IMPROVE CHILDREN'S DENTAL AND ORAL HEALTH KNOWLEDGE

Background: The five-year period in the stage of child development is the golden age, which is a golden period in the period of growth and development of children. During this period, everything that is poured out and absorbed in the child will become the basis and sharp memory in the child, including the maintenance of dental health. The growth of 3 to 5-year-olds has some skills such as color naming. Children do tend to prefer to play. Children's activities while playing while learning can support growth and development and absorb learning optimally. Games that can be played while learning are putting together simple puzzles, drawing and coloring, composing and stacking block games, playing sand, clay or toy candles, singing, role-playing, playing music and board games. Objectives: To develop dental and oral health game boards for kindergarten children aged 3-5 years in kindergartens in the Kersamenak sub-district, Kawalu Tasikamalaya District. Methods: The research method is carried out by research and development (R&amp;D) methods and Quasi experiments with non-equivalent pre and post test designs. The research was conducted by conducting FGD with kindergarten teachers in the Kersamenak sub-district area, Kawalu District, Tasikmalaya City using a total sampling technique of 30 teachers. Results: The description of the conclusion to the respondents' answers is the development of dental and oral health game boards for kindergarten children aged 3-5 years in kindergartens in the Kersamenak sub-district, Kawalu Tasikamalaya District. Conclusion: Production of dental and oral health game boards and game board manuals.

Methodological approaches to the creation of a biological model of smoke in landscape fires

Introduction. Long-term smoke from landscape fires causes various health problems, primarily affecting the respiratory, cardiovascular, and nervous systems. To substantiate safe levels of exposure to smoke from landscape fires, it is necessary to create an adequate biological model for smoke that is close to natural conditions. The aim of the study is to develop and test methodological approaches to creating a biological model for smoke during landscape fires to substantiate safe levels of exposure. Materials and methods. Using the developed biological model, we studied the effects of smoke from landscape fires on white rats. We assessed the functional state of the central nervous system based on rat behaviour and EEG examination results, conducted a morphological study of the cerebral cortex and testes of white rats, and examined the offspring immediately after birth and at puberty. Results. We studied the biological response of white rats exposed to inhalation smoke from landscape fires for different durations. The main criterion indicators of health disorders in the central nervous and reproductive systems of animals were identified. Limitations. The study is limited by the lack of data on safe levels of exposure to smoke from landscape fires on the central nervous system and reproductive toxicity. Conclusion. Testing of the developed method allowed identifying the exposure load of carbon monoxide and ultrafine particles PM2.5, at which changes in the nervous and reproductive systems are minimal. A method for calculating safe levels of exposure for the central nervous and reproductive systems, as well as for the effect on offspring, is proposed. An algorithm for conducting research in studying the effect of smoke from landscape fires on the body has been developed.

Evolutionary development of mother-child scaffolding for moral comprehension.

This evolutionary developmental study employed an experimental recursive narrative ecological niche, comparing scaffolded mother-child (5-year-old) pairs to unassisted controls as they independently viewed and discussed a realistic fictional family video depicting a father-daughter emotional conflict over the girl's risky behavior, which violated harm/care and fairness/justice moral foundation norms. A microgenetic analysis was conducted on a selected variant pair that demonstrated high adaptive fitness in the niche by employing developmentally advanced cooperative scaffolding tools. The conversational ecosystem phase was characterized by repeated maternal theory-oriented "why" questions and coordinated child causal responses, forming a joint epistemic investigation that facilitated the child's moral understanding of the characters' responsibilities and motives. The pair used quasi-justice procedures to gather evidence, judge, and construct moral attributes for the characters. Their conversational mechanism was supported by mutual mindreading, mental time travel, and empathic communications, as they interacted simultaneously with each other and the story characters. A narrative ecological scaffolding theory emerged, establishing a standard for cooperative epistemic scaffolding between the mother and the child. Future training programs should utilize the Zone of Proximal Development method to instruct similar parent-child pairs.

Multi-assessed green sustainable chromatographic resolution of nicotine and caffeine; application to in-vitro release from a new quick mist mouth spray co-formula

The availability of well-established analytical methods is crucial to cope with the fast-ongoing research for the development of new drug delivery formulations. In this work, a rapid highly green chromatographic method was developed for the simultaneous determination of nicotine (NIC) and caffeine (CAF) to be applied for an in-vitro release study from a newly prepared quick mist mouth spray co-formula (QMS), as a complementary synergistic fast-onset relief of cravings during smoking cessation. The chromatographic resolution was accomplished on a cyano column using isocratically delivered (1.0 mL/ min) glycerol: orthophosphoric acid (OPA) (0.2 M) adjusted to pH 3.0 using 0.05 M triethylamine (5:95, v/v) and UV detection at 260 nm. Well resolved peaks of NIC and CAF were eluted at 2.1 and 3.9 min (Rs = 5.64), with linear responses between 0.1 and 20.0 µg/mL and 0.2–40.0 µg/mL, and detection limits of 0.03 and 0.07 µg/mL for NIC and CAF, respectively. The developed method showed good analytical performance (accuracy, precision, robustness, and selectivity) as well as superiority in practicality and ecological profile compared to reported methods applying GAPI, analytical eco-scale, AGREE, BAGI, and whiteness metric tool. The developed method was successfully applied for NIC and CAF determination in their pharmaceutical preparations, and artificial saliva with no significant differences from reported method results (F-test and t-test). Moreover, an in-vitro release study of NIC and CAF from QMS was performed employing the developed method that revealed diffusion-controlled release, compared to mixed diffusion/ polymer chain relaxation for marketed single component formulation, showing the superiority of QMS in reducing drug level fluctuations of NIC and CAF and improving their bioavailability.Graphical

Design of a Web-Based Monitoring and Evaluation Application for Mentoring Using the Rapid Application Development Method at The Faculty of Computer Science UNIKA Santo Thomas Medan

The academic and thesis supervision processes at the Faculty of Computer Science, UNIKA Santo Thomas Medan, currently face various challenges, including a lack of clear structure in scheduling and difficulties in monitoring student progress. To address these issues, this research aims to develop a web-based application that supports monitoring and evaluation of the supervision process. The application is designed using the Rapid Application Development (RAD) method, which facilitates flexible and responsive development tailored to user needs. With features such as supervision scheduling, student progress tracking, and automatic evaluation, this application is expected to enhance the effectiveness of supervision, facilitate communication between lecturers and students, and support more structured academic management within the faculty. The implementation of this application has successfully improved the efficiency of the supervision process and ensured that students receive more structured guidance.