Miracle-dz/UniFAR-FTUs huggingface dataset:
Promoting interaction in online distance education: designing, implementing and supporting collaborative learning

Purpose Against the background of empirical research on computer-supported collaborative learning (CSCL), the purpose of this paper is to advocate implementing collaborative learning activities into online distance education courses to engage learners in interactive knowledge construction. This study uses empirical evidence to illustrate how educators can integrate collaborative learning and designated collaboration support into their instructional design. Design/methodology/approach This study presents a general review of research literature from the field of CSCL to highlight productive interaction between learners as key learning mechanisms, summarize core features of collaborative tasks, which promote interaction between learners and present group awareness tools and collaboration scripts as two complementary approaches to support groups during collaborative learning. Findings Empirical research suggests that collaborative learning is an effective learning activity and that incorporating collaborative learning into online courses benefits learners in terms of learning and social aspects such as social presence. However, to leverage the potential of collaborative learning, careful instructional design that promotes productive interaction between students is necessary. Originality/value This paper provides an overview on the topic of collaborative learning and how meaningful interaction between learners can be fostered. Specifically, this study details how collaborative tasks can be designed and how collaboration support can be used to provide students with opportunities for interaction that fosters acquiring new domain-specific knowledge as well as collaboration skills. To allow educators to design and incorporate collaborative learning activities into their own online teaching, the authors provide a theoretical basis for understanding the mechanisms behind effective collaborative learning as well as examples and practical considerations.
Exploiting diversity to promote arbuscular mycorrhizal symbiosis and crop productivity in organic farming systems

Beneficial soil microbiota especially arbuscular mycorrhizal fungi (AMF) deliver essential agroecosystem services in organic farming systems, where the application externalities is often limited. Undoubtedly, organic farming provides optimal conditions for agroecological functioning due to minimal soil disturbance and limited use of agrochemicals. In this context, beneficial soil microbiota are expected to deliver optimal ecosystem services. Nevertheless, the composition, diversity and function of beneficial rhizospheric microorganisms including AMF communities vary upon agronomic practices and soil conditions. Moreover, it is well known that some modern crop cultivars are less responsive to AMF, since they are bred for high intensive agricultural systems where there is sufficient supply of nutrients especially P. Until now, the establishment and function of AMF in organic cropping systems is still poorly understood. Such information is a prerequisite for the implementation of efficient cropping systems that capitalize on biological processes, a key step towards agricultural sustainability. The overall aim of this review is to provide insights on increasing mycorrhizal symbiosis and crop productivity in organic agroecosystems through innovative, temporal and spatial manipulation of species and genetic diversity at the crop cultivar, AMF species and cover crop management levels. The bulk of this review underscores the importance of examing different levels of diversification in organic farming systems, considering functional identity (single species), composition (mixed species) and diversity (heterogeneity within species) and how such components contribute to delivery of multiple agroecosystem services.
Evaluating the satisfaction rate for affordable housing in non-gated residential area (NGR): the case of Al-Sharq housing project in Zarqa-Jordan

Purpose Non-gated residential communities (NGR) are now becoming significant in Jordan resulting in an increase in low and medium-income areas. This study aims to investigate the sense of community at residential level within NGR by testing the characteristics presented in the first and largest non-gated community in Jordan (Al-Sharq project). Design/methodology/approach Such characteristics were identified via literary reviews and visual data collected through site visits, observation and photographs of the project's physical settings. This formed the basis of a questionnaire/survey that was distributed to the residents. This research depends on the mixed-method approach (qualitative and quantitative) to achieve the research objectives. The quantitative method involved the use of a questionnaire/survey, while the qualitative method undertook a comparative process using some statistical methods for the main characteristics. The results were analysed by using descriptive statistics, comprising frequency and factor analyses. Findings The study concludes with a framework consisting of suggestions and recommendations to remove the main constraints on improving the quality of life for the non-gated residential community. Practical implications The outcome of this study will influence the decisions made by the parties involved in urban development in Jordan when designing residential neighborhoods. Originality/value The significance of this paper is that while the majority of studies have been on the evaluation of gated communities in developing countries, there have only been a limited of studies specifically examining the experience of residents in those environments. Therefore, this paper contributes and adds to the existing knowledge in the development of non-gated communities in a developing country.
Driver Drowsiness Detection using Machine Learning

: This article provides an overview of results based on sleepy driver behaviour using machine learning techniques. Faces contain information that can be used to interpret levels of sadness. There are many facial features that can be extracted from a face to infer sleepiness. These include blinking, head movement, and yawning. However, developing a sleepiness detection system that provides reliable and accurate results is challenging as it requires algorithms. In the past, methods of detecting drowsy drivers have been tested. Methods, including reference vector machines, complex neural networks and hidden Markov models in the context of drowsiness detection. In addition, meta-analysis was performed on 25 documents using machine learning methods to detect drowsiness. This method is a most widely used method for detecting drowsiness, but the aggregate neural network performs better when compared to the other two methods. Finally, this document lists publicly available datasets that can be used as a standard for drowsiness detection.
DOĞA SPORLARI YAPAN BİREYLERİN GENEL ÖZ YETERLİLİKLERİNİN PROBLEM ÇÖZME BECERISINE ETKİSİ

Oz: Doga sporlari icerisinde bircok problem barindirmaktadir. Doga sporlari fiziksel, psikolojik ve zihinsel olarak sporcuyu zorlamaktadir. Ozellikle doga sporlarini yaparken beklenmedik bir durumda bu beceriler one cikmaktadir. Bu arastirmanin amaci doga sporu yapan bireylerin genel oz yeterliliklerinin problem cozme becerisine etkisini ortaya koymaktir. Arastirmanin orneklemini 2017 yilinda Turkiye’de cesitli branslarda doga sporu yapan 618 kisi olusturmustur. Sherer ve ark. (1982) tarafindan gelistirilen ve Turkce’ye uyarlamasi Yildirim ve Ilhan (2010) tarafindan yapilan Genel Oz Yeterlilik olcegi ile Heppner ve Peterson (1982) tarafindan gelistirilen Turkce’ ye uyarlamasi Şahin, Şahin ve Heppner (1993) tarafindan yapilan Problem Cozme envanteri kullanilmistir. Olcekler icin Cronbach Alpha ic tutarlilik katsayisi . 87 ve . 79 olarak bulunmustur. Elde edilen verilerin analizinde Independent Samples T testi ve iki gruptan fazla durumda tek yonlu varyans analizi (One Way Anova) testi ve aralarindaki iliski icin korelasyon analizi kullanilmistir. Sonucta cinsiyet, yas, egitim durumu, doga sporu cesidi ve deneyim degiskenlerine gore istatiksel olarak anlamli farklara ulasilmistir. Buna gore genel oz yeterlilik doga sporlarinda problem cozme becerisini etkilemektedir. Genel oz yeterlilik ile problem cozme becerisi arasinda pozitif yonde dusuk duzeyde iliski bulunmustur. Doga sporlarinin yapildigi mevsim ve alanlarin bu sonuclara etki ettigi dusunulmektedir. Ozellikle doga sporuna yogun olarak katilanlarin kendilerini gelistirici egitimlere katilmasi onerilmektedir.
Increase in Coercive Field by Magnetoelastic Coupling in Co/VO₂ Films

Herein, a ferromagnetic cobalt (Co) film was deposited on a VO2 film exhibiting a structural phase transition from monoclinic to tetragonal at ~340 K to investigate the magnetoelastic effect caused by a phase-transitioninduced strain. First, (100) and (101) VO2 films with thicknesses of 11-43 nm were grown on Al2O3 using pulsed laser deposition, and 2.5-nm-thick Co films were deposited on top of them via sputtering. The magneto-optic Kerr effect hysteresis loops were measured with the temperature variation across the structural phase transition temperature of VO2. Upon heating, an increase in the coercive field of the Co layer was observed at the structural phase transition temperature of VO2, suggesting a magnetoelastic coupling between the Co and VO2 layers. The coercive field increment diminished with decreasing VO2 thickness, and it disappeared as the VO2 became thinner than a critical value of ~11 nm. These results imply that a phase-transition-induced strain in the VO2 layer can be used to change the coercive field of the neighboring magnetic layer.
Effects of dietary orange peel on growth performance of Nile tilapia (Oreochromis niloticus) fingerlings

This study investigated the effects of dietary orange peels (OP) wasting from sweet orange (Citrus sinensis) industry on growth performance, feed utilization, intestinal morphology and proximate body composition of Nile tilapia (Oreochromis niloticus) fingerlings of initial body weight 5.16±0.09 g fish-1 (mean±SE). Fish fed for 60 days on four isonitrogenous (28% crude protein), isocaloric (18.5 MJ kg-1) diets supplemented with different levels of orange peel, 0 (CTR), 1 (OP1), 2 (OP2) or 4 (OP4) g kg-1 diet. The results showed that fish fed on OP-based diets had the best weight gain (WG), final weight (FW), specific growth rate (SGR) and feed conversion ratio (FCR) with an optimum level of OP at 2 g kg-1 diet (P≤0.05). CTR treatment produced the poorest growth performance and feed utilization parameters (P≤0.05). Height of villi of the anterior intestine progressively increased as the OP level increased in the diets. This suggested that dietary OP could improve the nutrient absorptive ability of the intestine in Nile tilapia. This finding suggests that dietary orange peel can act as a growth promoter for Nile tilapia fingerlings with an optimum level at 2 g kg-1 diet.
Alternatives to Social Science One

ABSTRACT This article responds to King and Persily’s (2019) proposal for a new model of industry–academic partnership using an independent third party to mediate between firms and academics. We believe this is a reasonable proposal for highly sensitive individual-level data, but it may not be appropriate for all types of data. We explore alternative options to their proposal, including Administrative Data Research Facilities, Data Collaboratives at GovLab, and Tech Data for Social Good Initiative at the Center for Advanced Study in the Behavioral Sciences. We believe social scientists should continue to explore, evaluate, and scale a variety of industry–academic data-sharing models.
The Stock Price Impact of Domestic and Foreign Economic Policy Uncertainty: Evidence from China

Utilizing the nonlinear autoregressive distributed lag (NARDL) approach (Shin, Yu, & Greenwood-Nimmo, 2014), we compare Chinese stock price responses to movements in U.S. and Chinese economic policy uncertainty (EPU). We find that Chinese stock prices react countercyclically to movements in U.S. uncertainty, but not Chinese uncertainty. They exhibit negative long- and short-run asymmetry (overshooting) in response to U.S. EPU shocks, but not Chinese EPU shocks, reflecting the importance of U.S. consumption to the performance of Chinese exporters.
Watershed Hydrological Response to Combined Land Use/Land Cover and Climate Change in Highland Ethiopia: Finchaa Catchment

Land use/land cover (LULC) and climate change affect the availability of water resources by altering the magnitude of surface runoff, aquifer recharge, and river flows. The evaluation helps to identify the level of water resources exposure to the changes that could help to plan for potential adaptive capacity. In this research, Cellular Automata (CA)-Markov in IDRISI software was used to predict the future LULC scenarios and the ensemble mean of four regional climate models (RCMs) in the coordinated regional climate downscaling experiment (CORDEX)-Africa was used for the future climate scenarios. Distribution mapping was used to bias correct the RCMs outputs, with respect to the observed precipitation and temperature. Then, the Soil and Water Assessment Tool (SWAT) model was used to evaluate the watershed hydrological responses of the catchment under separate, and combined, LULC and climate change. The result shows the ensemble mean of the four RCMs reported precipitation decline and increase in future temperature under both representative concentration pathways (RCP4.5 and RCP8.5). The increases in both maximum and minimum temperatures are higher for higher emission scenarios showing that RCP8.5 projection is warmer than RCP4.5. The changes in LULC brings an increase in surface runoff and water yield and a decline in groundwater, while the projected climate change shows a decrease in surface runoff, groundwater and water yield. The combined study of LULC and climate change shows that the effect of the combined scenario is similar to that of climate change only scenario. The overall decline of annual flow is due to the decline in the seasonal flows under combined scenarios. This could bring the reduced availability of water for crop production, which will be a chronic issue of subsistence agriculture. The possibility of surface water and groundwater reduction could also affect the availability of water resources in the catchment and further aggravate water stress in the downstream. The highly rising demands of water, owing to socio-economic progress, population growth and high demand for irrigation water downstream, in addition to the variability temperature and evaporation demands, amplify prolonged water scarcity. Consequently, strong land-use planning and climate-resilient water management policies will be indispensable to manage the risks.
SALMONELOSE AVIÁRIA E SAÚDE PÚBLICA: ATUALIDADES E O SEU CONTROLE NO BRASIL

Advances in genetic technology, health and ambience have ensured the continuous overcoming of the Brazilian poultry productivity indexes, positioning itself as one of the most important livestock sectors in the country, consequently the concern with health is constant in the farms, hatcheries and slaughterhouses. Bacterial infectious diseases are among the main problems of poultry production, and bacteria of the genus Salmonella sp. stand out among the most constant pathogens. The term avian salmonellosis is used to denote a group of distinct diseases caused by various serotypes. Those with the highest health risks are S. Pullorum (avian pulorosis), S. Gallinarum (avian typhus), S. Enteritidis (avian paratyphoid) and S. Typhimurium (typhoid fever in humans). However, Salmonelae of public health importance are the serotypes Enteritidis and Typhimurium, whereas S. Pullorum and S. Gallinarum, although responsible for large production losses, do not pose significant risks to human health. These bacteria are in the environment and animals, and in addition to causing loss of productivity in farms, are responsible for food poisoning in humans. Poultry products are among the main foods associated with human salmonellosis. These products can be contaminated during the production process, being essential to control the presence of the agent in the production chain, thus ensuring microbiological quality and safety in products of poultry origin. In Brazil, this control is coordinated by the Ministry of Agriculture (MAPA), which continuously monitors the breeding stock and slaughterhouses through the National Poultry Health Program (PNSA).
Pembelajaran Sejarah di Abad 21 (Telaah Teoritis terhadap Model dan Materi)

Model dan materi pembelajaran merupakan dua elemen inti yang masih mengalami banyak masalah dalam praksis pembelajaran Sejarah di abad 21. Artikel ini bertujuan untuk melakukan telaah teoritis terhadap model pembelajaran dan materi ajar Sejarah dalam bingkai pendidikan abad 21. Penelitian ini dilakukan dengan matode kepustakaan. Langkah penelitian yang dilakukan adalah: 1) menyiapkan alat dan perlengkapan; 2) menyusunn bibliografi kerja; 3) mengatur waktu penelitian; 4) membaca dan membuat catatan peneltian; dan 5) menyimpulkan dan menganalisis hasil peneltian. Hasil telaah menunjukkan bahwa: 1) Untuk mengembangkan keterampilan abad 21 dalam pembelajaran Sejarah, diperlukan model pembelajaran yang dapat menghubungkan materi pembelajaran Sejarah dengan kehidupan nyata peserta didik, terutama terhadap permasalahan sosial yang sedang terjadi di masyarakat. Selain itu, model pembelajaran dalam bingkai pendidikan abad 21 adalah model pembelajaran yang di dalamnya terdapat proses pengumpulan dan analsis data, pemecahan masalah, dan kolaborasi. Beberapa model yang memiliki orientasi ke arah keterampilan tersebut antara lain Problem Based Learning, Project Based Learning, Discovery Learnin, dan Inquiry Learning; 2) Untuk mendukung keterampilan abad 21, diperlukan perubahan dari materi yang bersifat text menjadi materi ajar yang berbasis website. Dari segi isi, materi ajar berbasis masalah sosial dan berbasis nilai, menjadi penting untuk dikembangkan.
A dynamic structure-adaptive symbolic approach for slewing bearings’ life prediction under variable working conditions

Data-driven technologies, especially artificial intelligence ones, are widely used in residual useful life (RUL) prediction of machinery. They are flexible in predicting RUL without grasping prior knowledge of physical mechanisms. However, interpretability is generally absent, which makes them like “black boxes. ” This shortcoming directly raises considerable uncertainty of high-reliability applications, questions on the trustworthiness of decision-making results, and even results in poor generalization under cross-domain RUL predictions. Therefore, the idea of exploring explainable life prediction models with desired cross-domain prediction performances is motivated. The above dilemmas are tackled through the in-depth research of symbolic life models: an evolving symbolic regression approach, namely, dynamic structure–adaptive symbolic approach (DSASA). DSASA, visually displaying internal model structures, gives considerations to historical samples and dynamically accommodates real-time degradation of service parts. In brief, multi-signal-based health indicators are first entered into three genetic programming algorithms for initial life modeling. Afterward, DSASA reconstructs initial life expressions and tracks the real-time degradation of machinery via dynamic coupling terms. Finally, cross-validations are conducted through slewing bearings’ accelerated run-to-failed experiments under variable working conditions. Encouraging prediction results deliver that DSASA has reliable generalizations and significantly reduces prediction error by 82.5%, 45.5%, and 79.8% compared with initial models before reconstruction.
When robots (pretend to) think

Mental activities are a fascinating mystery that humans have tried to unveil since the very beginning of philosophy. We all try to understand how other people “tick” and formulate hypotheses, predictions, expectations and, morebroadly, representations of the others’ goals, desires and intentions, and behaviors following from those. We “think” spontaneously about others’ and our own mental states. The advent of new technologies – seemingly smart artificialagents – is giving researchers new environments to test mindreading models, pushing the cognitive flexibility of the human social brain from the natural domain to towards the artificial.
Application of the VEMP test for diagnosing patients with vestibular neuritis

Background: The vestibular evoked myogenic potentials test can be applied when diagnosing vestibular disease. This method is used for neurophysiological assessment of the otolithic apparatus of the vestibular system. Materials and methods: Monitoring changes in the VEMP test of patients diagnosed with vestibular neuritis in the age range from 19 to 60 years. For the cVEMP test, sound stimulation through the headphones or via the bones through vibrations is used to read the status of macula sacculае, the lower vestibular nerve and the vestibulosaccular paths. The oVEMP test records the status of macula utriculаe and the upper branch of the vestibular nerve of the contralateral side. Aim: Monitoring changes in VEMP tests of patients with vestibular neuritis and assessment of obtained results. Results: During the first examination, the VEMP test of patients diagnosed with vestibular neuritis registered deviations. After the third month, improvement was noted in the subjective complaints and the results of the VEMP test. Changes were seen predominantly in oVEMP. Conclusions: The VEMP test can be applied to diagnose peripheral vestibular pathology. The VEMP test is an additional method for diagnosing vestibular neuritis.
A Process to Analyze Ethical Issues of Information Systems

Contemporary society is going through the so-called Digital Age. In this scenario, information systems (IS) play an essential role in many sectors of society, such as commerce, politics, services, entertainment, information sharing. Although discussions about ethical issues become increasingly necessary, it is not always an easy task. This paper proposes a process to help the IS professional and the citizen in sensitive decision-making contexts, in which conflicts may arise. To justify the definition of this process, we discussed the importance of new technologies based on Andrew Feenberg's philosophy of technology. Finally, we analyze the results of its application in the context of a well-known case in the light of the theoretical foundations. Resumo. A sociedade contemporânea está passando pela chamada Era Digital. Nesse cenário, os sistemas de informação (SI) desempenham um papel essencial em muitos setores da sociedade, como comércio, política, serviços, entretenimento, compartilhamento de informações. Apesar da discussão ética se tornar cada vez mais necessária, nem sempre é uma tarefa fácil. Este artigo adapta um processo existente para ajudar o profissional de SI e o cidadão em contextos de tomada de decisão, nos quais conflitos podem aparecer. Para justificar a definição desse processo, discutimos a importância das novas tecnologias com base na filosofia da tecnologia de Andrew Feenberg. Por fim, analisamos os resultados da aplicação deste processo em um caso bem conhecido à luz dos fundamentos teóricos.