Miracle-dz/UniFAR-FTUs huggingface dataset:
Program web-based SFBC untuk mereduksi kecemasan akademik siswa saat pandemi COVID-19; sebuah pilot studi

This research is a pilot study which aims to created the website and analyzed the effectiveness of a website-based solution focused-brief counseling (SFBC) program to reduce academic anxiety experienced by high school students. This study conducted by one group pretest-postest experimental design and involving 30 high school students in Singaraja, Bali as participants. The academic anxiety scale is used to measure the academic anxiety condition of students before attending counseling and also after. Student perception questionnaires were used to evaluate the feasibility of the program based on students' perceptions as users. Student academic anxiety data were analyzed through an independent sample t-test assisted by the JASP version 0.13 program. Data about the feasibility of web-based SFBC based on students' perceptions was analyzed descriptively and narrated. The results showed that: 1) the website-based SFBC program was effective in reducing academic anxiety experienced by high school students; 2) the website-based SFBC program has a good level of acceptance and feasibility based on the perceptions of students. The results of this study have implications for the use of website-based counseling methods for students.
Introduction and application of a composite insect trap for the National Ecosystem Survey of Korea

This study aimed to establish the best applicable method for the National Ecosystem Survey (NES) guidelines by (i) verifying the efficiency of an insect trap that combined the Malaise trap, flight intercept trap, and pitfall trap (MFP trap) as part of the improvement for the terrestrial insect field in the fifth NES, and (ii) comparing the result with the currently used Malaise trap and pitfall trap (MP traps). We found that the efficiency of attaining species diversity was much higher with the added flight intercept trap function than the current Malaise trap alone for flying insect collection. For collecting ground insects, the efficiency of attaining species diversity of the pitfall trap from the MFP trap was lower than that from the MP trap. Besides, the Malaise trap of the MP trap showed superior efficiency than that of the MFP trap in species diversity. The results suggested that modification, supplementation, and re‐testing should be performed by analyzing various factors such as the trap material, barrier size, capturing container inlet, and mesh size, with consideration of the design of the current Malaise trap. Therefore, in survey‐based research, which aims at identifying insects species diversity and inhabiting status—such as the NES, it is necessary to introduce the MFP trap with the flight intercept trap function added to the Malaise trap function, and for the pitfall trap function of the MFP trap, it can be operated as a separate trap from the MFP trap.
Naval Power and Effects of Third-Party Trade on Conflict

This study argues that the effect of third-party trade on dyadic conflicts is conditional on the naval power of both the potential conflict initiator and its target state. This conditional effect occurs mainly because naval power allows trade-integrated initiators to reduce their trade dependence on a given trade partner and its allies more easily. At the same time, the target’s naval power increases the costs that conflict inflict on the initiator’s trade. As maritime trade accounts for about 80 percent of world trade volume, naval capability has an important effect on combatant states’ ability to substitute trading partners during a conflict and to mitigate trade-related costs, thereby affecting the relationship between third-party trade and conflict. The findings of our statistical analyses support our theoretical expectation that the pacifying effect of third-party trade diminishes as the initiator’s naval power increases, yet increases as the naval power of the potential target increases.
Research on the comprehensive benefits and driving forces of various typical types of marine development in Jiangsu Province

The comprehensive benefit assessment of marine development type is an important basis for marine development according to local conditions. It is of great significance to realize the rationality of marine development and promote the sustainable development of the ocean. This paper calculates the economic net benefit, ecosystem service function loss value, fishery resource loss value and ecological profit and loss value of four main types of marine development projects in Jiangsu Province. The evaluation, correlation and driving force analysis of the comprehensive benefit value per unit area of marine development type are carried out. It is found that the sequence of economic net benefit and comprehensive benefit value is the same, from the highest to the lowest, they are port industry, offshore wind power, sewage dumping and aquaculture. After deducting the economic benefit value, the comprehensive benefit value is in the order of offshore wind power, aquaculture, port industry, sewage dumping, and the evaluation value is very close. Economic net benefit, ecosystem service function loss value and comprehensive benefit value have the most significant correlation. Through principal component analysis, it is found that economic net benefit is the key driving factor.
INFLUENCE OF GENERAL EDUCATORS’ KNOWLEDGE ON TEACHING PERFORMANCE FOR STUDENTS WITH LEARNING DIFFICULTIES IN INTERMEDIATE SCHOOLS IN RIYADH, SAUDI ARABIA

This investigation examines the influence of knowledge about learning difficulties (LD) on the teaching performance of general educators who teach students with LD in intermediate schools in Riyadh, the Kingdom of Saudi Arabia (KSA). It also aims to analyse the moderating effect of the amount of teaching experience in this relationship. A questionnaire survey was used to collect data from 401 general educators in regular intermediate schools in Riyadh. Those educators completed the questionnaire containing items related to knowledge of LD, and they also completed a teaching performance questionnaire. The data collected in this study were analysed using a structural equation modelling approach (SEM) via analysis of moment structures (AMOS). The findings from the structural analysis indicated that the general educators’ knowledge was significantly influenced by their performance. A moderation analysis confirmed the significant effect of years of teaching experience on the relationship between knowledge and teaching performance. Accordingly, the findings will contribute to the body of knowledge in the KSA regarding the knowledge of general educators and their practices. The findings will also be beneficial to educationists in the field of LD and policymakers in the Ministry of Education. This research also s has the potential to reflect positively on general educators’ teaching performance, thus enhancing their handling of students with LD.
Olive (Olea europaea L.) seed germination as affected by different scarification treatments

In Olive (Olea europaea L.) a critical balance of concentration and time was necessary to achieve high germination percentages without loss of viability of the seeds. Therefore olive cvs. Coratina and Pendolino seeds were subjected to chemical treatment with HCl, GA3, NaOH and water for two dips time (12 and 24 h) to determine the most appropriate treatment to improve seed germination and to reduce seed germination time. Among studied treatments (GA3 500 ppm for 12 h dip, GA3 500 ppm for 24 h dip, HCl 1N for 12 h dip, HCl 1 N for 24 h dip, NaOH 1 N for 12 h dip, NaOH 1 N for 24 h dip, Water 12 h, Water 24 h, Control) tested, the best results were recorded in both cultivars with GA3 500 ppm for 12 h dip as compared to control in both the cultivars suggesting that this treatment could be most the effective to enhance of seed germination and minimize the seed germination time. Key words: Seed germination, scarification, olive.
Partial Male Sterility in Imisun Sunflower: Imazapyr Treatment in Advanced Vegetative Stages Decreases Pollen Yield and Alters
 ahas
 Gene Expression

Fil: Ochogavia, Ana Claudia. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Rosario. Instituto de Investigaciones en Ciencias Agrarias de Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias. Instituto de Investigaciones en Ciencias Agrarias de Rosario; Argentina
Recognition of Variable-Speed Equipment in an Air-Conditioning System Using Numerical Analysis of Energy-Consumption Data

Motor-driven equipment (ME) is one of the key components in an air-conditioning system, which contributes to the vast majority of the total energy consumption by air-conditioning systems. Distinguishing variable- and constant-speed equipment is important since the energy simulation models of the two types differ. Traditionally, types of ME are known in advance, and energy consumption data are consequently analyzed. However, in the application scenarios of energy consumption data mining, precedent information on the ME type could be missing. Thus, this study applies this process in reverse, providing new insight into energy consumption data of ME to recognize variable-speed ME in an air-conditioning system. The energy consumption data of ME in an air-conditioning system implemented in a commercial building were collected and numerically analyzed. A proposed simple parameter, coefficient of the median, and several numerical parameters were calculated and used to distinguish variable- from constant-speed ME. Results showed that the energy consumption data distributions of the two types of ME differed. The proposed coefficient of the median could successfully distinguish variable- from constant-speed ME, and it could be applied as an important step in energy consumption data mining of air-conditioning systems.
Pinniped diet composition: a comparison of estimation models

Along the west coast of the United States, the potential impact of increasing pinniped populations on declining salmonid (Oncorhynchus spp.) stocks has become an issue of concern. Fisheries managers need species-specific estimates of consumption by pinnipeds to evaluate their impact on salmonid stocks. To estimate consumption, we developed a model that estimates diet composition by reconstructing prey biomass from fecal samples. We applied the model to data collected from harbor seals (Phoca vitulina) that are present year-round in the lower Columbia River where endangered stocks of salmonids pass as returning adults and as seaward-migrating smolts. Using the same data, we applied the split-sample frequency of occurrence model, which avoids reconstructing biomass by assuming that each fecal sample represents an equal volume of consumption and that within each sample each prey item represents an equal proportion of the volume. The two models for estimating diet composition yielded size-specific differences in consumption estimates that were as large as tenfold for the smallest and largest prey. Conclusions about the impact of harbor seal predation on adult salmonids, some of their largest prey species, remain uncertain without some appropriate rationale or further information (e.g. empirical captive studies) to discriminate between these models.
Recent Development of Nanoparticle by Green-Conventional Methods and Applications for Corrosion and Fuel Cells

Nowadays, numerous researches have focused on the field of green nanotechnology worldwide and their various applications. The main reason is the environmental and biologically safe applications of nanoparticles. Until now, various nanoparticles have been fabricated and tested for different purposes, such as energy conversion, storage, and corrosion prevention. However, conventional nanoparticle production, like physical or chemical methods, caused undesirable adverse effects on humans and the environment. Various biological materials have numerous advantages, such as environmentally friendly, non-toxic, and abundant availability. Thanks to these advantages, green synthesis methods may have a wider field of use in the future compared to traditional methods. Furthermore, the use of green materials provides significant advantages such as less usage of energy, economic and natural resources. Recently, considerable efforts have been carried out to develop novel green nanoparticles using various biological sources and methods such as the hydrothermal method, microwave-assisted method, ultra-sonication assisted method and mechano-mixing methods. In this review, we discuss the main properties of green and recent nanoparticles synthesized by green and conventional methods for using in corrosion preventions and fuel cells. In the paper, the fundamental sources of green nanoparticles and the fabrication process are addressed. The main reasons for the corrosion and the prevention of corrosion are explained. Also, the current analysis methods used to characterize the morphological and chemical properties of the recently synthesized nanoparticles are explained.
Towards a Driver Model to Clarify Cooperation Between Drivers and Haptic Guidance Systems

Understanding a driver’s behavior in a steering task is essential to the development of haptic guidance systems. This paper aims to predict driver torque control, especially when haptic guidance is part of haptic feedback. A new cybernetic driver model with an improved neuromuscular system is proposed and identified. It is assumed that the driver converts a target steering-wheel angle into torque by both indirect and direct control. Indirect control refers to the adaptation of the parameters of an internal model of steering compliance as perceived by the driver. Direct control accounts for the driver’s corrective action through direct haptic feedback. The parameters of the model were identified with data collected from experiments conducted with a driving simulator. The results of identification were satisfactory and led to good representation of the driver’s action, with or without haptic guidance. The model accurately predicted driver torque output. It can be used to study driver adaptation to haptic guidance systems.
A New Technique for Investigating Dust Charging in the PMSE Source Region

A new technique for investigating dust charging in the PMSE (polar mesospheric summer echoes) source region is proposed and discussed in this paper. The first high‐frequency (HF) modulation of the PMSE with varying pump power was employed during a recent experimental campaign at EISCAT (European Incoherent Scatter Scientific Association). Two experiment setups including HF pump power stepping as well as quasi‐continuous power sweeping were used. The experiment was designed based on a computational model capable of simulation of PMSE evolution during HF pump modulation in order to develop a new approach for studying the dust charging process in the PMSE source region. The charge state of dust particles along with background dusty plasma parameters is estimated using the experimental and computational results. A detailed future experimental design based on background dusty‐plasma parameters is proposed.
Variations in surface area of six ice aprons in the Mont-Blanc massif since the Little Ice Age

Abstract Deglaciation of high mountain rockwalls alters slope stability as rockwalls become more sensitive to modifications in environmental factors (e.g. seasonal temperature variations). In the past decades, increasing efforts focused on studying deglaciated Alpine rockwalls. Yet, currently deglaciating rockfaces remain unstudied. Here, we quantify surface area variations of massive ice bodies lying on high mountain rockwalls (ice aprons) in the French sector of the Mont Blanc massif between the end of the Little Ice Age (LIA) and 2018. Surface area estimates are computed from terrestrial and aerial oblique photographs via photogrammetry. This technique allows using photographs taken without scientific intent, and to tap into diverse historical or recent photographic catalogs. We derive an ice apron surface area model from precipitation records and the positive degree-days. The studied ice aprons shrank from 1854 to the 1950s, before expanding until the end of the 1990s. The beginning of the 21st century shows a decrease in surface area, leading to the complete melt of one of the studied ice aprons in 2017. Observed variations correlate with modeled surface area, suggesting strong sensitivity of ice aprons to changes in climatic variables. By studying site-specific correlations, we explore the importance of local drivers over the balance of ice aprons.
From Solidity to Liquidity: Macro-Level Consumption Patterns in the Sharing Economy

Macro-level consumption patterns in ownership-based modernity have been identified as being predominantly passive, individualistic, private, and alienated. However, access-based consumption, the new imperative of what has been termed the sharing economy, is fundamentally changing traditional business models and affords consumers a more flexible and fluid lifestyle without the burden of ownership. The current essay updates Fırat and Dholakia’s framework of consumption patterns with the new conditions of the sharing economy and critically reflects on the implications of market-mediated access for the four dimensions of the framework. The authors conclude that the sharing economy implies a shift from solid to liquid consumption, but this transition is sideward rather than upward because consumption alternatives in the sharing economy remain within the boundaries of market-mediated exchange and thus fail to generate substantive higher-level consumption alternatives between modes of consumption (e.g., the choice between using a car or public transport).
The Dynamics of Sovereign Yields Over Swap Rates in the Eurozone Market

We explore the dynamics of the adjusted swap spread (calculated as the difference between the swap rate and sovereign yields over the credit default swap premium) in the Eurozone market by studying three markets simultaneously: 1) sovereign bonds, 2) credit default swaps (CDS), and 3) swap rates. We find a strong relationship between the markets. Specifically, based on the no-arbitrage argument, we show that the difference between the Euribor and Repo rates is a key driver of the adjusted swap spread. However, illiquidity premiums and systemic risk also play an essential role in times of economic stress and for less creditworthy countries. The findings also shed light on the recent negative swap spreads puzzle in the United States.
The role of middle actors on land use policy: a case study in Central Kalimantan, Indonesia

ABSTRACT This study applies Parag and Janda’s ‘middle-out’ analytical perspective as a complementing alternative to the dichotomous options of top-down vs. bottom-up strategies of environmental management. It further develops the framework by applying it to a new context of land management and environmental change. Using a case study approach, we explore influences from middle actors, utilizing qualitative empirical evidence and incorporating responses across 25 households and 11 key actors in one Central Kalimantan, Indonesia village. We demonstrate middle actors’ unique capabilities and their criticality to affect change due to their influence across various levels of decision-making and commons governance. We posit that existing frameworks may misidentify the ‘bottom’ and ‘middle,’ raising questions about traditional development and livelihood discourse, strategies, and support. Recommendations include that current policy preconceptions be reevaluated to engage middle actors in locally adapted, integrative manners to improve governance and rural development.
Reflections in shadow: Excavating the personal archives of Paul Jacobsthal and EM Jope

The formation of archives has been a key facet of the archaeological discipline since its inception, critical in the production of knowledge from the destructive excavation that occurs in the field. The ongoing ‘archival shift’ within the humanities from archives as mere sources of secondary information to primary topics of research has presented new potential for the study of historic archaeological archives. This article explores the personal archives of two great scholars of Iron Age Celtic art, Paul Jacobsthal and EM Jope, held at the Institute of Archaeology, University of Oxford. Shedding new light on their engagement and interaction with the objects that they studied, the author explores the archive’s power to illuminate the ways in which the scholars’ methods, experiences and encounters shaped the knowledge that they produced about the past. Through presenting the archives as both primary sources of historical information and vibrant material entities, worthy of ‘excavation’ in their own right, the article advocates an assemblage-based archaeological approach to archival engagement.
Audio-Based Event Detection at Different SNR Settings Using Two-Dimensional Spectrogram Magnitude Representations

Audio-based event detection poses a number of different challenges that are not encountered in other fields, such as image detection. Challenges such as ambient noise, low Signal-to-Noise Ratio (SNR) and microphone distance are not yet fully understood. If the multimodal approaches are to become better in a range of fields of interest, audio analysis will have to play an integral part. Event recognition in autonomous vehicles (AVs) is such a field at a nascent stage that can especially leverage solely on audio or can be part of the multimodal approach. In this manuscript, an extensive analysis focused on the comparison of different magnitude representations of the raw audio is presented. The data on which the analysis is carried out is part of the publicly available MIVIA Audio Events dataset. Single channel Short-Time Fourier Transform (STFT), mel-scale and Mel-Frequency Cepstral Coefficients (MFCCs) spectrogram representations are used. Furthermore, aggregation methods of the aforementioned spectrogram representations are examined; the feature concatenation compared to the stacking of features as separate channels. The effect of the SNR on recognition accuracy and the generalization of the proposed methods on datasets that were both seen and not seen during training are studied and reported.