bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent development of planar microwave sensor for material characterization of solid, liquid, and powder: a review
Authors: Roslan Harry Sucitra , Alice Meor Said Maizatul , Zakaria Zahriladha , Misran Mohamad Harris
Published: July 2022

Microwave is the most popular sensor in industrial applications for detecting material characterization. Over the past decade, microwave sensor is high demand, especially in medical for detecting cancer in the human body, agriculture for detecting moisture of soil, and freshness in the food industry. The previous study has shown that the high demands of the microwave sensor in industrial applications make researchers always think of new ideas to design microwave sensors to improves accuracy and sensitivity. This paper reviews an investigation of material characterization of recent developments of a planar sensor for various contaminants and parameter value of solid, liquid, and powder as material under test (MUT). Planar resonator sensor enhances the weakness of conventional sensors in bulky size, required a large volume of samples, and high cost. This planar sensor will differentiate MUT properties based on scattering parameters at various operating frequencies. The framework presented in this review paper includes new developments in resonator structure as well as advanced design of potential future research work. Previous studies will be objectively analysed and compared in order to gain a better understanding of microwave resonant sensors and to develop innovative concepts to further enhance application research involving material characterization.
A nulling-resistor output amplifier in the framework of heterostructures based on nonlinear partial differential equations
Authors: Pankratov Evgeny Leonidovich
Published: July 2022

In this paper, we introduce an approach to increase the density of field-effect transistors framework nulling-resistor output amplifier. In the framework of the approach, we consider manufacturing the amplifier in a heterostructure with a specific configuration. Several required areas of the heterostructure should be doped by diffusion or ion implantation. After that dopant and radiation defects should be annealed framework optimized scheme. We also consider an approach to decrease the value of mismatch-induced stress in the considered heterostructure. We introduce an analytical approach to analyze mass and heat transport in heterostructures during the manufacturing of integrated circuits with account for mismatch-induced stress. 
Smart power consumption forecast model with optimized weighted average ensemble
Authors: Ndife Alexander N. , Rakwichian Wattanapong , Muneesawang Paisarn , Mensin Yodthong
Published: July 2022

Smart power forecasting enables energy conservation and resource planning. Power estimation through previous utility bills is being replaced with machine intelligence. In this paper, a neural network architecture for demand side power consumption forecasting, called SGtechNet, is proposed. The forecast model applies ConvLSTM-encoder-decoder algorithm designed to enhance the quality of spatial encodings in the input feature to make a 7-day forecast. A weighted average ensemble approach was used, where multiple models were trained but only allow each model’s contribution to the prediction to be weighted proportionally to their level of trust and estimated performance. This model is most suitable for low-powered devices with low processing and storage capabilities like smartphones, tablets and iPads. The power consumption comparison between a manually operated home and a smart home was investigated and the model’s performance was tested on a time-domain household power consumption dataset and further validated using a real time load profile collated from the School of Renewable Energy and Smart Grid Technology, Naresuan University Smart Office. An improved root mean square error (RMSE) of 358 kwh was achieved when validated with holdout validation data from the automated office. Overall performance error, forecast and computational time showed a significant improvement over published research efforts identified in a literature review.
A text mining and topic modeling based bibliometric exploration of information science research
Authors: Silwattananusarn Tipawan , Kulkanjanapiban Pachisa
Published: July 2022

This study investigates the evolution of information science research based on bibliometric analysis and semantic mining. The study discusses the value and application of metadata tagging and topic modeling. Forty-two thousand seven hundred thirty-eight articles were extracted from Clarivate Analytic's Web of Science Core Collection 2010-2020. This study was divided into two phases. Firstly, bibliometric analyzes were performed with VOSviewer. Secondly, the topic identification and evolution trends of information science research were conducted through the topic modeling approach latent dirichlet allocation (LDA) is often used to extract themes from a corpus, and the topic model was a representation of a collection of documents that is simplified using topic-modeling-toolkit (TMT). The top 10 core topics (tags) were information research design, information health-based, model data public, study information studies, analysis effect implications, knowledge support web, data research, social research study, study media information, and research impact time for the studied period. Not only does topic modeling assist in identifying popular topics or related areas within a researcher's area, but it may be used to discover emerging topics or areas of study throughout time.
A new hybrid and optimized algorithm for drivers’ drowsiness detection
Authors: Elidrissi Mouad Elmouzoun , Essoukaki Elmaati , Taleb Lhoucine Ben , Mouhsen Azeddine , Harmouchi Mohammed
Published: July 2022

When the roads are monotonous, especially on the highways, the state of vigilance decreases and the state of drowsiness appears. Drowsiness is defined as the transitional phase from the awake to the sleepy state. However, In Morocco, the majority of fatal accidents on the highway are caused by drowsiness at the wheel, reaching 33.33% rate. Therefore, we proposed the conception and realization of an automatic method based on electroencephalogram (EEG) signals that can predict drowsiness in real time. The proposed work is based on time-frequency analysis of EEG signals from a single channel (FP1-Ref), and drowsiness is predicted using a personalized and optimized machine learning model (optimized decision tree classification method) under Python. The results are much significant and optimized, improving the accuracy from 95.7% to 96.4% and a time consuming from 0.065 to 0.053 seconds.
Dengue classification method using support vector machines and cross-validation techniques
Authors: Hamdani Hamdani , Hatta Heliza Rahmania , Puspitasari Novianti , Septiarini Anindita , Henderi Henderi
Published: July 2022

Dengue is a dangerous disease that can lead to death if the diagnosis and treatment are inappropriate. The common symptoms that occur, including headache, muscle aches, fever, and rash. Dengue is a disease that causes endemics in several countries in South Asia and Southeast Asia. There are three varieties of dengue, such as dengue fever (DF), dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS). This disease can currently be classified using a machine learning approach with the input data being the dengue symptoms. This study aims to classify dengue types consisting of three classes: DF, DHF, and DSS using five classification methods including C.45, decision tree (DT), k-nearest neighbor (KNN), random forest (RF), and support vector machine (SVM). The dataset used consists of 21 attributes, which are the dengue symptoms. It was collected from 110 patients. The evaluation method was conducted using cross-validation with k-folds of 3, 5, and 10. The dengue classification method was evaluated using three parameters: precision, recall, and accuracy, which were most optimally achieved. The most optimal evaluation results were obtained using SVM with k-fold 3 and 10 with precision, recall, and accuracy values reaching 99.1%, 99.1%, and 99.1%, respectively.
Features analysis of internet traffic classification using interpretable machine learning models
Authors: Adje Erick A. , Houndji Vinasetan Ratheil , Dossou Michel
Published: July 2022

Internet traffic classification is a fundamental task for network services and management. There are good machine learning models to identify the class of traffic. However, finding the most discriminating features to have efficient models remains essential. In this paper, we use interpretable machine learning algorithms such as decision tree, random forest and eXtreme gradient boosting (XGBoost) to find the most discriminating features for internet traffic classification. The dataset used contains 377,526 traffics. Each traffic is described by 248 features. From these features, we propose a 12-feature model with an accuracy of up to 99.76%. We tested it on another dataset with 19626 flows and obtained 98.40% of accuracy. This shows the efficiency and stability of our model. Also, we identify a set of 14 important features for internet traffic classification, including two that are crucial: port number (server) and minimum segment size (client to server).
Coastal forest cover change detection using satellite images and convolutional neural networks in Vietnam
Authors: Nguyen-Trong Khanh , Tran-Xuan Hoa
Published: July 2022

Monitoring forest cover changes is an important task for forest resource management and planning. In this context, remote sensing images have shown a high potential in forest cover changes detection. In Vietnam, although the existence of a large number of such images and ground-truth labels, current researches still relied on classical methods employed manual indices, such as multi-variant change vector analysis (MVCA) and normalized difference vegetation index. These methods highly require domain knowledge to determine threshold values for forest change that are applicable only for studied areas. Therefore, in this paper, we propose a method to detect coastal forest cover changes, which can exploit available dataset and ground-truth labels. Moreover, the proposed method does not require much domain knowledge. We used multi-temporal Sentinel-2 imagery to train a segmentation model, that is based on the U-Net network. It was used then to detect forest areas at the same location taken at different times. Lastly, we compared obtained results to identify forest disturbances. Experimental results demonstrated that our method provided a high accuracy of 95.4% on the testing set. Furthermore, we compared our model with the MVCA method and found that our model outperforms this popular method by 3.8%.
Artificial intelligence in a communication system for air traffic controllers' emergency training
Authors: Mnaoui Youssef , Najoua Aouatif , Ouajji Hassan
Published: July 2022

In the last few years, there has been a lot of research into the use of machine learning for speech recognition applications. However, applications to develop and evaluate air traffic controllers' communication skills in emergency situations have not been addressed so far. In this study, we proposed a new automatic speech recognition system using two architectures: The first architecture uses convolutional neural networks and gave satisfactory results: 96% accuracy and 3% error rate on the training dataset. The second architecture uses recurrent neural networks and gave very good results in terms of sequence prediction: 99% accuracy and 𝑒 −7% error rate on the training dataset. Our intelligent communication system (ICS) is used to evaluate aeronautical phraseology and to calculate the response time of air traffic controllers during their emergency management. The study was conducted at International Civil Aviation Academy, with third-year air traffic control engineering students. The results of the trainees' performance prove the effectiveness of the system. The instructors also appreciated the instantaneous and objective feedback.
A-star algorithm based on admissible searching for strategically placing PMU considering redundancy and cost/benefit analysis
Authors: Babu Rohit , Bhattacharyya Biplab
Published: July 2022

This research examines an admissible search algorithm-dependent A-star strategy and takes into account redundancy and cost/benefit analysis under normal operating conditions. The goal is to allocate a phasor measurement unit (PMU) for maximal observability of the interconnected power network. To determine the fewest number of PMU required to make the connected power network totally observable using redundancy analysis, the A-star approach is utilized. The redundancy analysis of the power network is carried out in order to determine the appropriate PMU placement, which results in the acquisition of total power network observability and reliability. To put the suggested technique through its paces, it has been tested on IEEE-standard test systems such as IEEE-14 bus, IEEE-30 bus, New England-39 bus, IEEE-57 bus, and IEEE-118 bus. The results obtained using the suggested methodology are compared to those obtained through standard literature research. The experimental findings of the suggested method revealed the resilience and accuracy of the A-star algorithm as well as its effectiveness in achieving maximum observability of the connected power network.
Reading movement in community: A study of Gerakan Buru Membaca
Authors: Umanailo Muhamad Chairul Basrun , Nursyifa Aulia
Published: July 2022

The Buru Reading Movement (Gerakan Buru Membaca) was an initiative of Iqra Buru University community service and developed later into one of the Buru District Government programs, which have been implemented since 2017. The program was designed to improve and promote the community’s reading habits in Buru Regency, Maluku, Indonesia. This was a qualitative study aimed at describing the implementation of Gerakan Buru Membaca in Buru Regency. The research located in Namlea District because of its relatively high population density and heterogeneity. There were forty people interviewed, and this number was obtained through purposive sampling. We employed an analysis technique proposed by Miles and Huberman. The results revealed that the reading movement received a positive response from the community and the village government. The active role is implemented through the provision of village libraries, study rooms, and study houses of learning available. Furthermore, a mobile library, which was only available in the Namlea Village area, prioritized its services in open or public spaces. In other villages, however, the movement was still in the form of reading and learning spaces provided by the village government, with the participation of the community. Despite the positive response from the community, the movement still experienced several constraints. 
Classroom walkthrough observations in a state university: On grounded theory
Authors: Co Annalene Grace Edu , Soriano Roselle Matammu
Published: July 2022

The primary goal of this classroom walkthrough observation study was to come up with a theoretical framework that improves the instruction process in a public university in Region 02, Philippines. Walkthroughs in classrooms are done quickly and unexpectedly, usually by school administrators in the facility. In addition to deans and program chairpersons, nine educational leaders (deans and program co-chairs) and 37 faculty members took part in the study by the chain or snowball sampling. A core category (phenomena) was formed, conceptual tags were assigned, and a theoretical model that describes the causal elements influencing the phenomenon was developed through extensive discussions. Strategies that arise as a result of the occurrence, processes affected by context, processes that are influenced by intervening conditions, and implications of the system when employed. A detailed description of the many categories and subcategories are given, and participants' statements in support of the theory.
Learning during COVID-19 pandemic: A systematic literature review
Authors: Nasution Awal Kurnia Putra , Nasution Mustafa Kamal , Batubara Muhammad Hasyimsyah , Munandar Imam
Published: July 2022

The COVID-19 pandemic has transformed education worldwide. Learning that is usually done offline has turned into online learning to avoid the spread of the COVID-19 virus. The purpose of writing this article is to describe the latest and updated learning conditions during the COVID-19 pandemic. What kind of learning was carried out during the COVID-19 pandemic, was the learning effective, how was the learning outcome, and the challenges faced. The systematic literature review is used to find answers to this article's purpose by synthesizing 53 articles selected according to the criteria. The synthesis results found that online learning was carried out using video conference as a substitute for face-to-face meetings, discussions, exams, and learning feedback using supporting applications. The internet was the direct support. Most of the learning shows significant results. Learning outcomes cannot be concluded whether it is good or not. There are many challenges during learning. It indicates that the world of education is not fully ready to transform from offline learning to online learning. A standard platform for online learning and rules of learning is required to minimize negative impacts and pay attention to the socio-emotional aspect.
Motivation and satisfaction in online learning during COVID-19 pandemic: A systematic review
Authors: Aznam Nurfina , Perdana Riki , Jumadi Jumadi , Nurcahyo Heru , Wiyatmo Yusman
Published: July 2022

The study summarized current studies on student motivation and satisfaction and identify research gaps for proposing studies for the next study. A total of 50 academic research papers on satisfaction and motivation during COVID-19 pandemic learning were published during pandemic era December 2019 to December 2020. There were 45,935 participants on the study with 357 elementary students, 478 middle-high students, 42,151 college students and 2,949 teachers. An important result of this study is a significant change in motivation and satisfaction. From the review, this paper updates a new database, with a wide range of student satisfaction and motivation through online learning during the COVID-19 pandemic, especially to improve student satisfaction and motivation for a successful learning process. Suggests that it can be considered an effective learning method. This study is beneficial for education experts, lecturers, teachers, trainers, and technologists who are interested in assessment, learning, guidance, design, and online-based learning environments during a pandemic or after a pandemic to increase motivation and satisfaction in learning.
Students’ readiness on language distance learning: Case of translation teaching
Authors: Siregar Roswani , Risnawaty Risnawaty , Sembiring Milisi , Safriandi Ferry
Published: July 2022

The outbreak of COVID-19 has brought the disrupt change to education activities; from face to face to distance learning. In large-scale e-learning implementations, both teachers and students face an overload of subject material, making it difficult to adjust to the online context. This qualitative research investigated the students’ perception of e-learning implementation from the perspective of translation-course participants. The perception reflected the student challenges that categorized as adaptability to e-learning environment; technical availability and computer literacy; time-management, learning engagement; and self-effort and readiness. A semi structured-questionnaire Google Form that consisted of 19 items was developed to collect the students' perceptions and opinions. The questionnaire distributed and collected online. The data was tabulated, presented, and analyzed statistically. The perception of students on e-learning revealed the importance of improvement on technical support for learning instruction and material presentation, as well as students’ self-discipline on learning schedule. The finding of this study was feedback for authors to provide effective teaching by consideration to student's challenges in the e-learning environment. 
Narration and multimodality: The role of the human body and material objects in science teaching
Authors: Pantidos Panagiotis , Kaliampos George , Ravanis Konstantinos
Published: July 2022

This article seeks to shed light on the semiotic approach to science teaching and learning. Essentially, the mental representations of learners are also affected by the sign vehicles employed to communicate ideas in the material world. Thus, any learning object also appears as a material representation, consisting of acoustic and visual forms, which affect its content. The human body’s kinetic modalities, spatial configurations (i.e., graphs, images), material objects, prosody, as well as the written and spoken word constitute the perceptual data that encode the concepts. This particular paper deals with the possibility that the more emphatic signifiers, i.e., the human body and material objects, can create narrative spaces and produce meaning during science teaching. It also discusses alternative uses of material objects along with the multiple interpretations their visual images can evoke. As regards the human body, iconic, deictic, and ergotic gestures are analyzed as forms that produce meaning and are autonomous and dynamic when working with the other semiotic systems. Both material objects and the human body rely upon the ability of the learners’ imagination to transport them to narrative worlds located outside the classroom.
Improving the pronunciation of English learners through new learning process
Authors: Yang Zhujia , Kongjit Chalermpon
Published: July 2022

In Thailand, the achievement of English learners has been disappointing, despite the constant efforts to develop English education, and there is an urgent need for Thai learners to focus on the pronunciation of English. The research identified Thai English learners’ specific English pronunciation problems. It also designed and facilitated a new self-directed learning process for learners to improve their English pronunciation, which is based on a combination of a community of practice (CoP) and self-directed learning. There were 15 participants selected purposively involved in this study. This study demonstrated how to use new learning process to identify specific problems and shares how to solve problems by practicing among participants so that the objectives can be reached. The new learning process was useful in helping users to improve their English pronunciation to communicate effectively in real life. The new learning process also can be used for other language learners.
The quality of test on National Examination of Natural science in the level of elementary school
Authors: Hamidah Nurul , Istiyono Edi
Published: July 2022

This research analyzed the quality of National Examination questions on Natural science subjects in elementary schools. The sampling technique used was simple random sampling. Response data were obtained from 250 grade VI elementary school students who responded on the tryout questions. This study was a descriptive study with a quantitative approach to describe the quality of the elementary school science test try-out items. The quality of this question is described quantitatively which includes an index of difficulty level and discriminatory power of questions. The data was collected using a test technique using a test instrument consisting of 30 multiple-choice questions. The analysis was carried out using the BILOG-MG version 4 application to obtain the parameters of distinguishing power and grain difficulty level. Based on the model fit analysis, it was found that the most appropriate model to use for the analysis of the science tryout questions for elementary schools was item response theory (IRT) with the 2PL model. The study concluded that the National Examination questions on science subjects in elementary schools had met the criteria for the level of difficulty and distinguishing power so that they could be said to be in a good category.
Influence of competitive activity on the development of self-realization among adolescents
Authors: Akishina Ekaterina Mikhailovna , Olesina Elena Petrovna , Mazanov Alexey Igorevich
Published: July 2022

The article examines the problems of social self-realization of modern adolescents in competitive activity. Based on the conducted scientific studies, the authors determine the important role of competitions in the process of school students’ socialization. The article presents the most important criteria of adolescents’ level of self-realization in competition activity such as self-esteem adequacy, creativity, self-organization, teamwork, and stress resistance, as well as the results of studying the level of development of such paired personality traits as sociability/insularity and friendliness/aggressiveness developing in adolescents in competitive activities. The authors emphasize the high degree of risk of any contests as the participants experience worry, fear, and stress. The article presents a comparative analysis of studies of the level of socialization in school students conducted in the years 1999, 2013, 2019, and 2020. Authors prove that competition is a relevant form of developing social personality traits in school students in modern society. It is necessary to create certain pedagogical conditions when preparing and holding a competition and ensure pedagogical assistance and support to minimize the possible risks. It is important for modern pedagogics to study and account for childhood and adolescent fear, as well as psychological and pedagogical risks of carrying out competitions for school students.
 
Asian university students’ perspectives on online English courses during COVID-19: A systematic review
Authors: Zainal Nurzahirah , Md Yunus Melor
Published: July 2022

Globally, English courses intended for university students are conducted online due to the COVID-19, including in Asian countries. Hence, this systematic review paper attempts to review relevant studies regarding the Asian university students’ perspectives towards online English courses during COVID-19. This paper employs PRISMA, whereby several stages to filter and gather relevant information have been carried out. Twelve articles have been identified and analysed based on the research designs, methodologies, and themes. The main themes are positive and negative perspectives on online English courses learning during COVID-19, and suggestions to improve online English courses learning during COVID-19. It is found that university students in Asia are generally ready to learn online English courses due to flexibility and easy access. Poor internet connection and infrastructure are among negative perspectives towards the online English courses during COVID-19. It is recommended that improving technological infrastructure, conducting training programmes, and restructuring task assessments should be done to improve the quality of online English courses during COVID-19.
The perception of special education teacher in teaching students with dyslexia
Authors: Lim Wai Wai , Yeo Kee Jiar , Handayani Lina
Published: July 2022

Language learning is the biggest challenge for students with dyslexia. Therefore, special education teachers play a pivotal role in assisting students with dyslexia to mitigate any difficulties in their language learning process. This study explored the perception of special education teachers in terms of their experience, challenges faced, and strategies adopted to assist students with dyslexia in the learning process. A semi-structured interview session was conducted with three participants from three primary schools under the Special Education Integration Program (SEIP) Dyslexia Program. The findings indicated that it was challenging for special education teachers to teach students with dyslexia because they lacked the effective teaching methods and resources. Based on their teaching experiences, students with dyslexia encountered difficulties in phoneme-grapheme associations, sound blending, and segmentation. Additionally, the participants perceive that the adoption of a multisensory approach and the utilisation of mobile learning applications are two effective strategies to improve the teaching of language to students with dyslexia. Lastly, this study provided vital findings to be used as research materials by other like-minded researchers in the future.
Extracting student patterns from log file Moodle course: A case study
Authors: Al-Kindi Iman , Al-Khanjari Zuhoor , Jamoussi Yessine
Published: July 2022

This paper introduces a set of extracted factors from Moodle log file of the selected course as a case study that aims to capture student Engagement (E), Behavior (B), Personality (Pers) and Performance (P). The factors are applied to identify students’ EBPersP with different course activities. The data set used in this paper was selected from the "Introduction to Computer Science" online course that captures 273,906 records as a log file for 29 students, delivered in Spring 2020. The paper also tries to show whether there is a relationship between student engagement, behavior and personality and their performance. Results show different patterns of students’ interactions with course contents, activities, and assessments. Specifically, our findings highlight that students' EBPersP could be extracted from Moodle log files. In addition, the extracted factors could assist instructors on how to focus more on students with low and average performance, giving them more attention to enhancing their performance. 
Students’ societal mattering as a protective factor against depression and suicidal thoughts
Authors: Wan Sheng Yee , Prihadi Kususanto Ditto , Satrio Prakrisno
Published: July 2022

Suicide ideation or suicidal thought has been reported to be one of the major mental wellbeing issues among university students following the increase of the depressive symptoms. The implication of social distancing in the form of lockdown did not help to reduce the aforementioned cases. While we know that reducing depressive symptoms among university students might be almost impossible to be done without any drastic change to the educational system, we would like to investigate whether the sense of mattering to the university might moderate the development of suicide ideation when the students have developed depressive symptoms. We recruited 435 university students and had they voluntarily responded to the Beck’s depression inventory, satisfaction with life scale, societal mattering scale, and the suicidal ideation attributes scale. The data was analyzed by bias-free bootstrap analysis with 5,000 samplings and 95% confidence interval in PROCESS Macro model 59 and model 1, and the results reported that high university mattering levels might moderate the link between depression symptoms and suicide ideation through life satisfaction. In other words, in the situation where the students were locked-down, the chance of develop depression and the idea to end their own life tend to be higher. However, the more they believe that they matter to their university as a society, the less they will develop depression symptoms and the suicide ideation.
Repercussions of the COVID-19 pandemic on medical waste management
Authors: Atthar Aura Dhia Rizki , Sari Mega Mutiara , Suryawan I Wayan Koko , Septiariva Iva Yenis , Suhardono Sapta , Sianipar Imelda Masni Juniaty
Published: July 2022

The COVID-19 pandemic is a global outbreak that also changes the generation of medical waste in hospital. The increasing number of people infected with the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) virus indirectly requires the management of infectious waste from patients to be safe and not have the potential to spread. The purpose of this study was to analyze the medical waste management in a hospital located in Jakarta City, Indonesia. This study employed direct observation and used secondary data in the analysis. Meanwhile, to determine the effect of the population infected with SARS-Cov-2 on medical generation, One Way ANOVA analysis was used. Data from May, 2020 showed that medical waste generation increased from 25.6 kg/month to 192.3 kg/month. The ANOVA significance test showed a value of 0.013; this indicates that the number of the infected population significantly affects the generation of medical waste. Medical waste that found during a pandemic becomes more complex, including hazmat clothes, masks, gloves, medical headgear, used bandages, injection and infusion equipment, eating and drinking utensils for patients exposed to COVID-19, and used swab and rapid test equipment.
Modified pharmacy counseling improves outpatient short-term antibiotic compliance in Bali Province
Authors: Widowati I Gusti Ayu Rai , Duarsa Dyah Pradnyaparamita , Budayanti Ni Nyoman Sri , Diantini Ajeng , Januraga Pande Putu
Published: July 2022

Pharmacy counseling, which provides quality drug information, improves patient safety. However, this service is not optimally provided in Indonesia. A new model, modified pharmacy counseling (MPC), was developed to make it easier for service providers. We aimed to measure MPC effectiveness in improving short-term antibiotic compliance. This community trial (ISRCTN82062391) involved patients (age, ≥18 years) recruited from selected pharmacies between December 2020 and February 2021 in two Bali Province districts. At baseline, data regarding sociodemographic characteristics, knowledge levels, and attitudes toward antibiotic use were collected. MPC effectiveness was assessed using Morisky medication adherence scale-8. Of 300 recruited patients, 290 participated (response rate, 96.67%). The baseline study revealed that knowledge regarding short-term antibiotic use is lacking; however, awareness regarding antimicrobial resistance is high. MPC significantly improved short-term antibiotic compliance (risk ratio, 2.849; 95% confidence interval, 1.904-6.640; p<0.001). The mean rank significantly differed between the intervention (61.05) and control groups (37.95). The proportions of compliant patients in the intervention and control groups were 35.6% and 12.5%, respectively. The main reason for low compliance was forgetting and not being made aware by pharmacy workers in the intervention (46.8%) and control (55.6%) groups, respectively. These findings provide insights for improving pharmaceutical care.
Infection and undernutrition increase the risk of stunting among rural children
Authors: Akrom Akrom , Hidayati Titiek , Kencana Olyvia Wulan , Kurniawan Nurcholid Umam , Bintarum Prasasti
Published: July 2022

The prevalence of stunting in Indonesia is remaining high. Stunting is found to be more common in rural areas than in urban areas. This study aimed to determine the factors associated with stunting in rural areas. We conducted a case-controlled study in Public Health Center Jetis 1 Yogyakarta, Indonesia. We recruited 80 children with the purposive sampling technique. Data on birth weight and disease history were taken from their medical records. Data on consumption patterns of energy, protein, carbohydrate, and fat were collected through a nutritional survey. Different proportions were tested using the fisher test and the mean difference was tested using an independent t-test. The results showed that child stunting had lower energy and protein consumption levels than non-stunting children (p=0.000). Diarrheal infection, frequency, and duration of illness were more common in stunted than in non-stunted children (p<0.05). Consumption of protein and energy was associated with stunting (p<0.05). This research found differences in the incidence of infection, frequency, length of illness, and hospital stay between stunted and non-stunted children. There is a significant association between the consumption of protein and energy with stunted growth in children in rural public health children.
Psychometric properties of the smartphone addiction proneness scale in a sample of Malaysian adolescents
Authors: Chan Sii Jiing , Yeo Kee Jiar , Handayani Lina
Published: July 2022

The aim of this study was to examine the psychometric properties of the 15-item smartphone addiction proneness scale (SAPS) among a sample of Malaysian adolescents. The gathered data were subjected to exploratory and confirmatory factor analysis. There were 922 secondary school students involved in this study. The exploratory factor analysis extracted a three-factor solution for SAPS. These factors were named disturbance of adaptive functions, withdrawal and tolerance. Results from confirmatory factor analysis also indicated that the three-factor structure fits well with the data. The internal consistency of the scale was found to be good. The positive and moderately strong correlation between SAPS and three widely adopted criterion variables (depression, loneliness and boredom proneness) supported the concurrent validity of SAPS. The results of this study showed that the SAPS is a reliable and valid instrument for identifying problematic smartphone use among Malaysian adolescents.
Acessibilidade em Jardins Zoológicos: um estudo no Parque Zoológico da FZB/RS
Authors: Balleste Samantha Medeiros , Naoumova Natalia
Published: July 2022

Os jardins zoológicos se destacam na questão da acessibilidade, visto que uma visita a essas instituições apresenta desafios únicos devido ao seu design e ambiente naturalista. Deste modo, este estudo tem como objetivo verificar das condições de acessibilidade física e espacial dos espaços abertos da área de visitação do Parque Zoológico da Fundação Zoobotânica do Rio Grande do Sul, localizado em Sapucaia do Sul - RS, e da percepção dos visitantes da instituição, focando especificamente nas questões de acessibilidade para pessoas com dificuldade motora. Para alcançar os objetivos são empregados levantamentos físicos e um questionário. Os resultados mostram que o Parque Zoológico não é considerado um espaço acessível para pessoas com dificuldade motora, devido a variados motivos.
Setting the Stage: Disgust as an Aesthetic Food Experience
Authors: Lemke Mailin , de Boer Bas
Published: July 2022

Disgust is commonly understood as an emotion of aversion. However, people seem to eat certain food items not despite containing disgust eliciting features but because of them. In this paper, we introduce the term aesthetic disgust to capture this phenomenon. We outline in our manuscript how designers use different techniques to stage the food experience and facilitate aesthetic disgust, which can be understood as more than just a pleasurable experience. We outline twelve staging techniques used in the context of food design to facilitate a distancing or embracing effect regarding the disgust eliciting features. Three food examples illustrate how these different techniques can be combined and applied in design practice.
The Kolam Drawing: A Point Lattice System
Authors: Sarin Anika
Published: July 2022

Kolam is the 5,000-year-old art of making geometric floor drawings with rice flour, practiced by the Dravidian women of South India. This article introduces a point lattice-based method of visual organization that is derived from Kolam drawings. In it, a point lattice formed by a regularly spaced array of points is used to structure visual compositions, as an alternative to a network of orthogonal lines (also known as the grid). First, I show how the point lattice system is used to structure Kolam drawing compositions, including the lattice's construction, types, and uses. Second, through a formal analysis of such a points system in structuring forms, patterns, letters, and layouts in graphic design, I show that this system offers a whole alternate universe of compositional possibilities that are not apparent when graphic designers see a grid not as points, but as a series of constraining straight lines. Through this research, I look inward into the design ethos and tools present in Indian arts and crafts and present its application in contemporary design practice.
Morphological and molecular identification of Ellipsoidisporodochium gen. nov. (Tubakiaceae, Diaporthales) in Hainan Province, China
Authors: LIU SHU-BIN , ZHANG ZHAO-XUE , LIU RONG-YU , MU TAI-CHANG , ZHANG XIU-GUO , LI ZHUANG , XIA JI-WEN
Published: July 2022

During a survey of microfungi on symptomatic leaves from Photinia serratifolia (Desfontaines) Kalkman, an interesting species of asexual ascomycetes were found. Based on multilocus phylogenies from a combined dataset of genes encoding internal transcribed spacer (ITS), large subunit of ribosomal RNA (LSU), translation elongation factor 1 alpha (tef1), part of the beta-tubulin gene region (tub2), and partial RNA polymerase II second largest subunit (rpb2), in conjunction with morphological characteristics, we describe a new genus of Tubakiaceae, Ellipsoidisporodochium gen. nov. (type species: Ellipsoidisporodochium photiniae sp. nov.). The genus has fusoid to ampulliform sporodochia and obovoid to ellipsoid conidia. Their relatedness to allied taxa are also annotated and discussed.
17. A Woman and a Leopard
Authors: Mohammadirad Masoud
Published: July 2022

A couple was living in a remote, mountainous area. The husband divorced his wife and asked her to leave the house. The woman set off to her parents’ house, through a dangerous wild forest. On the way, she came across a leopard, which on hearing her story, accompanied her all the way to her parents’ house. The woman told her parents that a gentleman protected her against wild animals. She then talked badly of his odour and said that his mouth had a terrible smell. The leopard overheard these words and felt heartbroken. A few weeks later, the woman went into the wild forest to collect some firewood. She came across the leopard again. The leopard asked her to stab him in the shoulders with her dagger. The woman did accordingly and returned home. A few weeks later, the woman went back to the wild forest and met the leopard again. After greeting her, the leopard wept aloud and said, ‘The trace of grief caused by daggers will go away, but the grief caused by words will not go away!’
North Pacific and North Atlantic Jet Covariability and Its Relationship to Cool Season Temperature and Precipitation Extremes
Authors: Winters Andrew C. , Attard Hannah E.
Published: July 2022

Cool season (September–May) extreme temperature and precipitation events are frequently tied to surface cyclones and anticyclones, which are modulated on the synoptic scale by the state and evolution of the upper-tropospheric jet stream. This study adopts a jet-centered approach to classify the prevailing large-scale flow pattern into jet regimes based on the leading modes of variability of the North Pacific jet (NPJ) and the North Atlantic jet (NAJ), respectively. The characteristics of these joint NPJ–NAJ regimes are subsequently examined using composite analysis to identify large-scale flow environments conducive to the occurrence of anomalous temperatures and precipitation across North America. The analysis reveals that composite large-scale flow environments associated with each joint NPJ–NAJ regime can be approximated as a linear combination of the separate large-scale environments that characterize each NPJ regime and NAJ regime independently. Furthermore, knowledge of the joint NPJ–NAJ regime provides more precision regarding the relative likelihood and spatial coverage of anomalous temperatures and precipitation than would be obtained from consideration of the NPJ or NAJ regime in isolation. The frequencies of each joint NPJ–NAJ regime can also be modulated by the occurrence of sudden stratospheric warmings, with increased frequencies of an equatorward-shifted NAJ and a retracted NPJ during the 30-day period following a warming event. The results from the present study demonstrate that knowledge of the joint NPJ–NAJ regime exhibits the potential to inform forecasts of anomalous temperatures and precipitation at medium-range and subseasonal time scales.

Significance Statement

The development of cool season temperature and precipitation extremes are modulated by the state and evolution of the upper-tropospheric jet stream. Therefore, this study adopts a jet-centered approach to quantify the extent to which temperature and precipitation extremes over North America are related to the coevolution of the North Pacific and North Atlantic segments of the jet stream. The analysis demonstrates that the relative likelihood and spatial coverage of temperature and precipitation extremes varies significantly across North America based on the combined state of the North Pacific and North Atlantic jets. The jet-centered approach utilized in this study exhibits the potential to inform operational medium-range (6–10 day) and subseasonal forecasts of temperature and precipitation across North America.
Single-Bubble Sonoluminescence of Colloidal Suspensions as a New Technique for Sonoluminescent Spectroscopic Analysis
Authors: Gareev Bulat M. , Abdrakhmanov Airat M. , Sharipov Glyus L.
Published: July 2022

This is a brief research review on the new method of development for element luminescence determination, namely, sonoluminescent spectroscopy. The advantages and disadvantages of the technique of multibubble sonoluminescence (MBSL) in solutions used to apply this method are discussed. It has been shown that the use of a new technique moving single-bubble sonoluminescence (m-SBSL) in colloidal suspensions of nanoparticles (<50 nm) containing the elements analyzed seems preferable for this purpose. This makes it possible to determine elements not only at lower concentrations than when using MBSL in solutions but also to find elements that are unavailable for determination through previous techniques. Thus, this new technique expands the range of elements that can be determined using sonoluminescent spectroscopy. The article provides a detailed description of the standard procedure for the preparation and recording of m-SBSL in colloidal suspensions, as well as examples of characteristic spectra of some elements obtained and recorded for the first time according to this new technique (Al, K, Mn, Cd, Pt, Ni, and Ti), including those not previously found using the MBSL in solutions (Al, Cd, Pt, Ni, and Ti). An example of the analytical line at 396 nm in the Al spectrum obtained through this new technique on the basis of an AlCl3 initial aqueous solution, the region of the linear dependence of the intensity on the AlCl3 concentration was registered, and the lower limit of the spectroscopic determination of the Al content in this solution was estimated as 8.3·10−3 M. Using the analysis of the obtained Cd spectrum as an example, we carried out a spectroscopic measurement of the electronic temperature achieved at m-SBSL in bubble plasma at the moment of greatest compression of a bubble with light emission during its acoustic oscillations in dodecane, Te = 7900 ± 500 K.