Miracle-dz/UniFAR-FTUs huggingface dataset:
Populasi Hama Plutella Xylostella dan Crocidolomia Binotalis Pada Tanaman Kubis (Brassica oleracea L.) Dengan Perlakuan Jaring Pelindung

Penelitian Populasi hama plutella xylostella dan Crosidolomia binotalis pada tanaman kubis (brassica oleracea L.) dengan Perlakuan Jaring Pelindung dilakukan di desa Jaga Raga Indah Kecamatan Kediri, Kabupaten Lombok Barat, Provinsi Nusa Tenggara Barat. Tujuan dari penelitian ini untuk mengetahui efektivitas net protection (jaring serangga) dalam mengurangi kerusakan tanaman kubis (Brassica oleracea L.) yang disebabkan oleh hama Plutella xylostella dan Crosidolomia binotalis. Rancangan yang dipergunakan dalam penelitian yaitu (Quasi Eksperimental Design) dengan dua perlakuan dan diulang sebanyak tujuh kali. Perlakuan yang digunakan yaitu penanaman kubis tanpa menggunakan net protection (kontrol) dan penanaman kubis menggunakan net protection. Hasil penelitian menunjukkan bahwa masing-masing perlakuan efektif dalam menekan populasi hama ulat Plutella xylostella. Rata-rata Dengan menggunakan net protection (jaring serangga), rata-rata populasi hama Plutella xylostella 3,97 ekor/tanaman dan Crosidolomia binotalis 2,13 ekor/tanaman lebih rendah dibandingkan dengan yang tidak menggunakan net protection dengan populasi hama rata-rata Plutella xylostella 8,47 ekor/tanaman dan Crosidolomia binotalis 3,61 ekor/tanaman. pada masing-masing perlakuan menunjukkan hasil yang berbeda nyata atau signifikan
Enhancing the interfacial stability of high‐energy Si/graphite||LiNi0.88Co0.09Mn0.03O2 batteries employing a dual‐anion ionic liquid‐based electrolyte

The poorly flammable room-temperature ionic liquid-based electrolyte composed of lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) and N-butyl-N-meth-ylpyrrolidinium bis(fluorosulfonyl)imide (Pyr 14 FSI) with fluoro-ethylene carbonate (FEC) as an additive is investigated towards its compatibility with the LiNi 0.88 Co 0.09 Mn 0.03 O 2 (NCM88) cathode and a high-capacity Si/graphite (SiG) anode, revealing a remarkably stable performance in lithium-ion cells. Interestingly, this dual-anion electrolyte with FEC additive forms a stable electrode-electrolyte interphase on both sides, which suppresses the morphological degradation of the electrode materials and continuous electrolyte decomposition. Consequently, lithium-ion cells using such dual-anion ionic liquid-based electrolyte display significantly improved cycling stability compared to conventional carbonate ester-based electrolyte, achieving a high specific energy of 385 Whkg (cid:0) 1 (based on both cathode and anode active materials weight) with a capacity retention of 74% after 200 cycles at 0.2 C, demonstrating the possibility to realize safe and high energy density LIBs.
Challenges for Foundation Phase Teachers in Interacting with Parents during the COVID-19 Pandemic: A Case Study of Mangaung Primary Schools, South Africa

The sociocultural theory of learning acknowledges parents as integral role players in the process of their children’s learning. As in many other parts of the world, when South African schools moved to remote online learning due to the COVID-19 pandemic, teachers became increasingly dependent on the agency of parents. Using an interpretivist lens and a qualitative approach, this study probes the experiences of Foundation Phase teachers in South Africa’s Mangaung Municipality in their interaction with parents in 2020, during the pandemic lockdowns. The findings point to the following challenges during the pandemic, as perceived by the teachers: difficulty in communicating with parents; difficulty in working with parents to support learning; and insufficient parental commitment. The findings also point to shortfalls in respect of three dynamics—collaboration, feedback, and trust—as being central to the perceived challenges. The study concludes with a call for improved relations between Foundation Phase parents in teachers, regardless of whether the teaching and learning are occurring remotely or in-person, in order to optimise the sociocultural dynamics at play in children’s schooling.
CSEar: Metalearning for Head Gesture Recognition Using Earphones in Internet of Healthcare Things

With the popularity of personal computing devices, people often keep long-term head immobility in front of screens, resulting in the emergence of “phubbers” and “office workers. ” The early warning solutions in the Internet of Healthcare Things (IoHT) have brought hope to protect users’ health and safety. However, most existing works cannot recognize the different head gestures during walking, which is also a common cause of text neck and traffic accidents. In addition, they also need a large amount of data to update the model to adapt to the new environment, which reduces the practicality of the model. To solve these problems, we propose a system, CSEar, based on built-in accelerometers of off-the-shelf wireless earphones, which can recognize 12 kinds of head gestures both in resting and walking states. First, an innovative algorithm is designed to detect head gesture signals, especially for the signals mixed with gait. Then, we propose the MetaSensing, a head gesture recognition model that can improve the recognition ability with few samples compared with the existing metalearning algorithms. Finally, the experimental results prove the effectiveness and robustness of the CSEar.
Autonomous Bearing Tone Tracking Algorithm

To date, much of the research done in the field of condition monitoring of rotating machinery is conducted in the frequency domain. The frequency domain analysis specifically for bearings is based on extracting features from the spectrum of the vibration signature. These features are mostly based on the amplitude at the bearing tones along with their sidebands and high order harmonics. Therefore, it is important to determine the location of the mentioned bearing tones in the spectrum accurately and automatically. For the case of ball bearings this process can be problematic due to slippage of the rolling elements and variations in the angle of contact. These may cause the bearing tone to deviate from its nominal value. To this day, the common practice for bearing diagnostics is based on the vibration level at the analytical bearing tones or involvement of experts to identify the true location of the bearing tone. In this research an autonomous algorithm for bearing tone extraction, based on pattern matching, was developed. The proposed algorithm is based on the common assumption that the spectrum of a faulted bearing contains a certain known pattern of prominent peaks. The algorithm “scans” the entire spectrum and determines the frequency value which has the highest correlation to the mentioned pattern. The proposed algorithm was validated and its capabilities are illustrated using experimental data. This algorithm is able to assist any diagnostic approach towards automatic and reliable feature extraction process, both for physics based and data driven approaches.
Design of 5G MEC-Based Networks With 1:N:K Protection Scheme

With the advent of 5G networks, telecommunications infrastructure providers (InP) have faced numerous challenges as they attempt to meet the stringent quality of service requirements. The placement of applications at the edge of the mobile network in Multi-access Edge Computing (MEC) and slicing techniques have provided powerful tools to enable networks to support these requirements. This paper studies the problem of locating MECs and slices in a 5G infrastructure protected by a 1: <inline-formula> <tex-math notation="LaTeX">${N}$ </tex-math></inline-formula>: <inline-formula> <tex-math notation="LaTeX">${K}$ </tex-math></inline-formula> protection scheme. The aim is to support high reliability and low latency requirements at a minimum cost. A bi-objective non-linear formulation is proposed, and a solution is derived by employing the non-dominated sorting genetic algorithm (NSGA)-II. Results show that the enhanced 1: <inline-formula> <tex-math notation="LaTeX">${N}$ </tex-math></inline-formula>: <inline-formula> <tex-math notation="LaTeX">${K}$ </tex-math></inline-formula> scheme is cost-effective. The proposal is evaluated on the basis of various levels of reliability, latency requirements, and probability of failure.
RF/microwave energy-autonomous systems

This work overviews the design methodologies and system architectures for the successful activation of batteryless RF/microwave systems and their reliable operation in the context of the Internet-of-things paradigm, which is usually characterized by harsh electromagnetic environments. A multi-domain design approach is outlined, combining EM theory and numerical simulation with nonlinear circuit design, enabling consistent performance predictions of the RF systems. System examples are considered for both the TX and the RX sides suitable for application in Industrial and civil scenarios.
Effect of Media Richness on Older Adults’ Routinized Use of Social Media in Mobile Applications

Given the ambivalent relationship between social media’s characteristics and the elderly usage, the missing link of the older consumers’ emotional attachment to the media product, and the lack of theoretical and empirical insights on the contextual family influence issue, this study examines how media richness drives the older users’ routine usage of media in a mobile application by considering the mediating role of emotional attachment and the moderating role of reverse intergeneration influence. Based on the data collected through 294 older users aged 60 and over in China, the hypothesized structural model is tested using path analysis. First, this study validates that media richness has a positive impact on the elderly’s routine use via a partial mediator emotional attachment. Second, this study reveals that the direct and indirect effect of media richness on routine use is moderated by the moderator reverse intergenerational influence. Third, this study finds that reverse intergenerational influence serves as a double-edge moderating role in the routine usage decision. These findings shed light on the underlying mechanism of the elderly’s routine use and provide applicable implications for the mobile application development practice in evoking the elderly’s routine use.
Association between oesophageal cancer and biomass smoke exposure: a case-control study

Most African populations are regularly exposed to biomass smoke, but knowledge of associated health implications is limited. This study aimed to investigate the association between oesophageal cancer (OC) and exposure to biomass smoke. This case-control study was conducted in Lusaka, Zambia. Cases were patients with endoscopically diagnosed OC, while controls were healthy volunteers. Questionnaires were used to collect lifestyle risk factors. Two sets of data were analysed; one with unmatched cases and controls and the other one with matching by age and sex. We enrolled 366 patients (131 cases and 235 controls). Among the cases, 50 (38%) were female and the median age was 56 years (IQR = 46–65 years). OC was significantly associated with domestic exposure to biomass smoke in univariate analysis (OR: 3.1; 95% CI: 1.7–5.6, p < 0.001) and after adjusting for potential confounders (OR: 2.1; 95% CI: 1.1–3.8, p = 0.017). Matched comparisons showed similar results for this association in univariate analysis (OR: 2.9; 95% CI: 1.5–5.8, p < 0.001) and using conditional logistic regression (OR: 2.8; 95% CI: 1.3–5.9, p = 0.005). Other risk factors found to be associated with OC were rural residence (OR: 2.3; 95% CI: 1.0–5.3, p = 0.004), lack of formal education (OR: 3.9; 95% CI: 1.5–9.9, p = 0.04) and living in poor housing (OR: 2.4; 95% CI: 1.1–5.6, p = 0.034). In conclusion, there is an association between OC and domestic exposure to biomass smoke and other lifestyle factors linked to low socio-economic status.
The correlation between knowledge and nurse compliance in the use of personal protective equipment level 2

Background: Personal Protective Equipment (PPE) is divided into 3 levels, the use of which is adjusted to the location of health services due to the COVID-19 pandemic. The second level of PPE is intended for health workers who work in patient care rooms. One of the causes of high cases of nurses contracting viral infections is the lack of knowledge and compliance in using PPE. Purpose: The aim of this study was to find out the correlation between knowledge and nurse compliance in the use of PPE level 2. Methods: This study was a quantitative research with correlational analytic type. The number of respondents was 62 nurses. Collecting data using a knowledge (8 qoestions) and compliance (10 questions) questionnaire of nurses in the use of PPE level 2. The analysis used was univariate and bivariate analysis with the Pearson Product Moment test with level of significance at the alpha = 0.05. Results: The results of the univariate analysis of knowledge obtained a mean value of 6.16 with a standard deviation of 1.04 and nurses’ compliance obtained a mean value of 34.67 with a standard deviation of 3.56. The results of the study concluded that there was no significant correlation between knowledge and nurse compliance in the use of PPE level 2 in Petala Bumi Hospital, Riau Province with p = 0.513 and r = 0.085. Conclusions: This study suggests that nurses increase knowledge and compliance with the use of level 2 PPE in providing nursing services by attending training, seminars and workshops on preventing disease transmission, especially during the COVID-19 pandemic.
Material Joint Analysis of Lead-Free Interconnection Technologies for Silicon Photovoltaics

Due to the negative environmental impact, efforts are being made to eliminate lead from electronic components, also in the photovoltaic industry. The development of a “green” solar module is of high relevance. For the series interconnection of solar cells, currently lead-containing solder alloys are used. The aim of this work is to evaluate the microstructure and impact on solar module performance of two industrially feasible interconnection materials with high potential for the interconnection of high-efficiency silicon heterojunction solar cells: lead-free solder and lead-free electrically conductive adhesives. Isothermal aging shows that the microstructure of soldered joints is submitted to significant changes such as intermetallic compounds growth (Ag3 Sn, Cu3 Sn, Cu6 Sn5) and, compared to glued joints, seem to influence the electrical performances of PV modules. The long-term stability is analyzed by thermal cycling of small-scale PV modules. Modular integration has been shown to be possible for both alternatives, about 80 % of the modules tested have successfully passed the thermal cycling test (power loss less than 5%).
Cytokine Profile in Patients with Multiple Sclerosis Following Exercise: A Systematic Review of Randomized Clinical Trials

Multiple sclerosis (MS) is one of the most prevalent causes of nontraumatic neurological impairment in young adults. This review aims to determine the impact of exercise on cytokine and adipokine profile levels as inflammatory markers in MS patients across various exercise paradigms. We used specific keywords in PubMed, Web of Science, The Cochrane Library, and Scopus to find randomized clinical trials addressing the effects of physical activity and exercise training on inflammatory markers levels in MS patients. The majority of the research showed no considerable changes in IL-6 levels, while three studies reported declining levels after the intervention. Approximately half of the trials observed a change in TNF-α and IL-10 levels after exercise interventions, while the other half showed no meaningful changes. Other markers such as IL-17, IL-4, IL-12, adipokines, and BDNF showed fluctuations in levels. We found no universal agreement on the effects of different exercise training protocols on the serum level of inflammatory markers in patients with MS. More research is needed to fully identify the effects of exercise on cytokines in MS patients.
Service-learning during the pandemic through a tourism geography course

ABSTRACT This case study illustrates the challenges and strategies adopted by the instructor and the Tour Dure producer in designing a tourism geography service-learning course during the COVID-19 pandemic. It focuses on a teaching experience in a course titled “Tourism Place Management Project” which involved collaboration with Tour Dure businesses in Goesan County of South Korea. In so doing, the initial course objectives and the activities based on the experiential learning theory adopted for the course are illustrated. Then challenges and the adjusted measures to cope with the pandemic are explained. The main challenges were caused by limited opportunities for offline activities including fieldwork and the students’ group meetings. Strategies adopted to cope with the challenges included providing small-group sessions for the students, including the fieldwork and online sessions with the instructor and the Tour Dure producer. Also, the instructor, the Tour Dure producer, the businesses, and the students were encouraged to share diverse materials among themselves. As a result, the students acknowledged the importance of the service-learning experience despite the limitations caused by the pandemic. This case study provides implications on how service-learning can be conducted when offline learning experiences are limited.
The Quest for Phenolic Compounds from Seaweed: Nutrition, Biological Activities and Applications

ABSTRACT Seaweeds are macroscopic marine algae that are allocated into three categories based on the seaweed color (green, brown and red seaweeds). Seaweeds are known for its nutrition and beneficial non-nutritive compounds. Seaweeds have ample nutrition content including carbohydrates, minerals, proteins, and vitamins. Green seaweeds have a high concentration of carbohydrates and lipids whereas red seaweeds have abundant content of proteins. The mineral content ranges up to 36% of its dry weight. The beneficial non-nutritive compounds are phenolic compounds that are classified into phenolic acids, flavonoids, bromophenols and phlorotannins in seaweeds. The phlorotannin compounds are found mostly in brown seaweeds whereas the bromophenols are observed in red seaweeds. The phenolic compounds identified demonstrated bioactive properties which have been confirmed through in vivo cell culture studies. Due to seaweed’s beneficial properties, the seaweed biomass have been consumed as a portion of convenience food in the Asian diet and has expanded to the Western diet. Over the last few decades, the extract or the biomass has been used in making fertilizers, animal feed, pharmaceuticals, and cosmeceuticals. This review helps to understand the nutrition content, especially phenolic compounds with their bioactive properties and recent development in applications.
Deep Reinforcement Learning in Smart Grid: Progress and Prospects

The combination of reinforcement learning and deep learning has shown some remarkable results in many scientific fields. Deep reinforcement learning algorithms are particularly good at understanding and modeling adaptive decision-making in dynamic environments. In recent years, this concept has been successfully applied to smart grids. In this paper, we provide a brief introduction to the concepts of reinforcement and deep reinforcement learning to the power system engineers and present research progress and prospects in the field. Additionally, we identify smart grid engineering domains that need extensive pattern-based modeling as being particularly suitable for deep reinforcement learning.
Is Screen Addiction a Problem Among Rural School-Going Adolescents? A Cross-Sectional Study in South Karnataka

Background: Media, including mobile phones, computers, and social media, is a dominant force in the lives of adolescents, and has now penetrated the rural areas. Screen addiction (SA) is a pathological compulsive use of screen-based devices. Objectives: To estimate SA and its associated factors among school-going adolescents residing in a rural area in South Karnataka. Methods: A cross-sectional study was conducted among adolescents (10-19 years) in 4 schools of Solur Hobli, Ramanagara district, using a structured questionnaire including physical activity, family, and academic stressors. SA was assessed using Tao’s Diagnostic Criteria for Internet Addiction. Depression was screened using Physical Health Questionnaire-9. Chi-square test and logistic regression were done for factors associated with SA. Results: Of the 335 adolescents, 20% felt preoccupied with screens, 8% felt restless, moody, and irritable when not using them, 26% used screen devices as a way of escaping problems or relieving irritable mood, 12% had depression, and 3.9% had SA. SA was significantly higher among depressed subjects (adjusted odds ratio [AOR] = 5.18 [1.48-18.13], P = .010), males (AOR = 12.54 [1.46-109.9], P = .021), adolescents who felt that their parents fought frequently (AOR = 4.21 (1.17-15.09), P = 0.027), and adolescents who did not participate in sports (AOR = 3.82 (confidence interval: 1.04-14.06], P = 0.044). Conclusion: While proportion of rural students with SA is still low, we need to prevent this from developing into a public health issue by recognizing SA and depression among students and develop targeted interventions to manage the same, including increasing awareness among teachers and students about SA and its link with depression.
Comprehensive assessment of alcohol-related brain damage (ARBD): gap or chasm in the evidence?

ACCESSIBLE SUMMARY Alcohol-related brain damage (ARBD) causes a broad range of both neurological and neurocognitive impairment. Mental health nurses are required to provide programmes designed to facilitate individuals with chronic alcohol dependency to radically change their drinking behaviour, invariably with an abstinence focus. No evidence that related to the nutritional and physical intervention needs of this group was found. Most instruments used to access domains relevant to ARBD in terms of providing a comprehensive assessment have not been validated in this group. Alcohol-related brain damage (ARBD) is primarily caused by chronic alcohol misuse and thiamine deficiency, and results in a broad range of impairments. Despite the increasing incidence of ARBD in the UK in recent decades, it is currently underdiagnosed, managed inappropriately and treated inadequately. Moreover, information about assessments for individuals with ARBD is currently absent from clinical guidelines and policy documents. The aim of this paper was to review the evidence relating to the neurological, neuropsychological, psychosocial, physical and nutritional assessment of individuals with ARBD to identify appropriate assessment tools that could be used to measure and monitor the impact of ARBD over time. A systematic online database search revealed a total of 160 separate references, 133 of which were rejected and two of which could not be accessed. Twenty-five papers were included in the review, including six neuroimaging studies, 17 neuropsychological studies and two studies using psychosocial methods of assessment. A lack of evidence for nutritional and physical assessment of individuals with ARBD was found. The review findings are inconclusive; most instruments currently used in ARBD research have not specifically been validated for use within an ARBD context. Further research is required to identify comprehensive methods of ARBD assessment.