Miracle-dz/UniFAR-FTUs huggingface dataset:
ONLINE MEDIA ACCEPTANCE AND USE IN INDONESIAN RURAL AREA: PRIMARY SCHOOLS TEACHER’S PERSPECTIVE

This exploratory study aimed to describe the current teachers’ acceptance and use of online media for primary school in rural areas.The study used interview and survey as data collection methods which were divided into two focus questions. This study adopted six indicators of Technology Acceptance Model by Davis to measure the participants’ experience on using online learning media. The participants consisted of 30 teachers from four private and government schools in Indonesia. The data collection methods for this study included a survey and open-ended face-to-face interviews in the sense of triangulation for validity and reliability. This study explored the current condition qualitatively, classified each indicator based on interview data reduction and analyzed descriptively. The study found the teachers’ accept using online media in integrated learning but they cannot use it because of the lack facilities and the schools’ rules of using online media. The external variables, perceived ease of use, perceived usefulness and attitudes of the teacher showed the positive acceptance for online learning implementation. Unfortunately, they did not find support to enhance their lack of behavioural intention use and actual use during the teaching practice.The study proposes the development of a supportive environment and facilities to support factual use of online learning in rural areas. This study recognises that online learning was perceived as important to maximize potential of teaching in rural areas. It also highlighted that teachers in rural areas have behavioural intention to implement online learning although in limitation. This study presented significant gap between teachers’ technology acceptance and usage in rural area to be highlighted toward the affordable online learning in the future
Polymer and deficit irrigation influence on water use efficiency and yield of muskmelon under surface and subsurface drip irrigation

Water scarcity is a major constraint facing vegetable production sustainability in open field farming of arid regions like the Kingdom of Saudi Arabia. This study was carried out in an open field of the Research and Training Station of King Faisal University in the eastern region of the Kingdom. The objective was to assess the influences of the polymer addition (PA), deficit irrigation regime (DIR), and their combination on the production and water use efficiency (WUE) of muskmelons. PA treatments of 0.0, 0.2 and 0.4% and the irrigation treatments of 100, 75 and 50% of reference evapotranspiration (ETo), were imposed throughout the growth stages of muskmelons under surface drip irrigation (DI) and subsurface drip irrigation (SDI). The polymer addition of 0.4% enhanced the field water holding capacity of the medium sandy soil within the locality of the emitters by 43.6%. The soil water content of the surface layer within the vicinity of the polymer amended soil layer increased in a range of 72.4 to 99.4% to the combined influences of the 0.4% PA with the DI and SDI, but were marked more under the SDI. The combination of the 100% ETo DIR with polymer additions significantly (P < 0.05) enhanced the muskmelon fruit yield (MFY) under the SDI compared to DI. The PA of 0.4% improved WUE and MFY by 67.7, 70.4% under the SDI, and 58.6, 24.2% under the DI, respectively. Without the polymer addition (0.0% PA), the MFY significantly (P < 0.05) decreased with the increase of the DIRs under both DI and SDI.
Neighborhood matters: high phylogenetic diversity of experimental plant assemblages improves community performance

Background and AimsAlthough the role played by phylogeny in the assembly of plant communities remains as a priority to complete the theory of species coexistence, experimental evidence is lacking. It is still unclear to what extent phylogenetic diversity is a driver or a consequence of species assembly processes. We experimentally explored how phylogenetic diversity can drive the community level responses to drought conditions in annual plant communities. To this end, we manipulated the phylogenetic diversity of the species assemblages and the water availability in a common garden experiment with two treatments: average natural rainfall and drought.MethodsWe recorded plant survival and the numbers of flowering and fruiting plants per species in each assemblage. High phylogenetic diversity favored species coexistence over time with higher plant survival and more flowering and fruiting plants, especially under severe drought.Key Results. Our results demonstrate the existence of niche complementarity and the convergence of water economy strategies as major mechanisms for promoting species coexistence in plant assemblages in semiarid Mediterranean habitats.ConclusionsOur findings point to high phylogenetic diversity among neighboring plants as a plausible feature underpinning the recent “united we stand” framework, which states that diffuse positive interactions may promote mechanisms for the persistence of rare species in the community. We suggest that the large species number in the regional species pool may be the consequence of assembly processes occurring at small spatial scales, because the success of each species in terms of surviving and producing offspring was greater when the phylogenetic diversity was higher. Our study is a step forward to understand how phylogenetic relatedness is connected to the mechanisms determining the maintenance of biodiversity.
Complementing regional moment magnitudes to GCMT: a perspective from the rebuilt International Seismological Centre Bulletin

Abstract. Seismologists and geoscientists often need earthquake catalogues for various types of research. This input usually contains basic earthquake parameters such as location (longitude, latitude, depth, and origin time), as well as magnitude information. For the latter, the moment magnitude Mw has become the most sought after magnitude scale in the seismological community to characterize the size of an earthquake. In this contribution we provide an informative account of the Mw content for the newly rebuilt Bulletin of the International Seismological Centre (ISC, http://www.isc.ac.uk , last access: May 2021), which is regarded as the most comprehensive record of the Earth's seismicity. From this data, we extracted a list of hypocentres with Mw from a multitude of agencies reporting data to the ISC. We first summarize the main temporal and spatial features of the Mw provided by global (i.e. providing results for moderate to great earthquakes worldwide) and regional agencies (i.e. also providing results for small earthquakes in a specific area). Following this, we discuss their comparisons, by considering not only Mw but also the surface wave magnitude MS and short-period body wave magnitude mb . By using the Global Centroid Moment Tensor solutions as an authoritative global agency, we identify regional agencies that best complement it and show examples of frequency–magnitude distributions in different areas obtained both from the Global Centroid Moment Tensor alone and complemented by Mw from regional agencies. The work done by the regional agencies in terms of Mw is fundamental to improve our understanding of the seismicity of an area, and we call for the implementation of procedures to compute Mw in a systematic way in areas currently not well covered in this respect, such as vast parts of continental Asia and Africa. In addition, more studies are needed to clarify the causes of the apparent overestimation of global Mw estimations compared to regional Mw . Such difference is also observed in the comparisons of Mw with MS and mb . The results presented here are obtained from the dataset ( Di Giacomo and Harris , 2020 , https://doi.org/10.31905/J2W2M64S ) stored at the ISC Dataset Repository ( http://www.isc.ac.uk/dataset_repository/ , last access: May 2021).
Reading difficulty and socio-emotional adjustment: Internalizing patterns depend on age of identification

Abstract Children with reading difficulty experience stress in school that may put them at risk of negative socio-emotional adjustment involving externalizing or internalizing patterns. It is unclear what factors influence some children to experience externalizing patterns and others internalizing patterns. This study investigated the influences of the age of identification of reading difficulties and coping strategies on socio-emotional adjustment. Data were collected from 31 children with reading difficulty (ages 9 to 12 years), recruited from Winnipeg schools and child-care centres, on measures of coping strategy and socio-emotional adjustment and parent/guardian reported age-of-identification. Direct and indirect process analyses, using percentile bootstrapping, were used to examine mediating effects of coping strategies in the relationship between age-of identification and socio-emotional adjustment. Results showed late-identified children (in Grade 2 or later) were more likely to report using disengagement coping strategies. Early-identified children (before Grade 2) were more likely to report higher internalizing patterns. Evidence for partial mediation by secondary coping strategy on the relationship between age-of-identification and internalizing outcomes was found. No other mediation patterns were found, including indirect effects of age-of-identification on socio-emotional functioning through coping. Although early identification of reading difficulties is associated with greater risk of developing internalizing problems, patterns of coping with reading-related stress have limited influence. Clarifying how age of identification of reading difficulty influences socio-emotional adjustment will help resolve theoretical debates about the experience of reading difficulty as a risk factor for negative socio-emotional adjustment, and will help educators/clinicians to promote struggling readers’ healthy socio-emotional adjustment.
Constructing 3D Underwater Sensor Networks without Sensing Holes Utilizing Heterogeneous Underwater Robots

This article handles building underwater sensor networks autonomously using multiple surface ships. For building underwater sensor networks in 3D workspace with many obstacles, this article considers surface ships dropping underwater robots into the underwater workspace. We assume that every robot is heterogeneous, such that each robot can have a distinct sensing range while moving with a distinct speed. The proposed strategy works by moving a single robot at a time to spread out the underwater networks until the 3D cluttered workspace is fully covered by sensors of the robots, such that no sensing hole remains. As far as we know, this article is novel in enabling multiple heterogeneous robots to build underwater sensor networks in a 3D cluttered environment, while satisfying the following conditions: (1) Remove all sensing holes. (2) Network connectivity is maintained. (3) Localize all underwater robots. In addition, we address how to handle the case where a robot is broken, and we discuss how to estimate the number of robots required, considering the case where an obstacle inside the workspace is not known a priori. Utilizing MATLAB simulations, we demonstrate the effectiveness of the proposed network construction methods.
Trauma Psycho Social Support Plus and EMDR therapy for children and adolescents in a post-conflict setting: Mental health training in Kurdistan.

INTRODUCTION This paper describes the implementation of a pilot project in Kurdistan / Northern Iraq on the use of EMDR in children in post-conflict settings. METHODS A 4-field scheme aimed at patient stabilisation was taught to social workers for the application with children and adolescents in Northern Iraq. If possible, the stabilisation was followed by procedures aimed at memory reprocessing or modification within the eightphase EMDR protocol and (in all cases) with further care. RESULTS An initial assessment of the children and adolescents themselves revealed significant traumatic burden. The subjective distress was reduced when the rescue and the present situation were reflected age-appropriately with the help of pictures and sketches. For six children and adolescents, a post-stabilisation treatment within EMDR therapy was offered. The first results in this very small sample were encouraging providing support for a fullscale controlled study.
A Framework for Analysing Corporate Social Performance: beyond the Wood Model

Many business organisations put a lot of effort in raising their performance levels in the three dimensions of sustainability - i.e., people, planet, and profit. It is therefore important to measure and weight the effects of their efforts. In this report a framework is presented that is helpful in analysing the social, environmental, and economic activities of a business firm or chain. This framework is based on Wood's (1991) model of corporate social performance. However, it is enriched by incorporating contributions by other significant scientific studies in the fields of corporate social performance and business ethics. Furthermore, based on a review of the scientific literature, suggestions for operationalising the framework are offered.
Leveraging Final Degree Projects for Open Source Software Contributions

(1) Background: final year students of computer science engineering degrees must carry out a final degree project (FDP) in order to graduate. Students’ contributions to improve open source software (OSS) through FDPs can offer multiple benefits and challenges, both for the students, the instructors and for the project itself. This work reports on a practical experience developed by four students contributing to mature OSS projects during their FDPs, detailing how they addressed the multiple challenges involved, both from the students and teachers perspective. (2) Methods: we followed the work of four students contributing to two established OSS projects for two academic years and analyzed their work on GitHub and their responses to a survey. (3) Results: we obtained a set of specific recommendations for future practitioners and detailed a list of benefits achieved by steering FDP towards OSS contributions, for students, teachers and the OSS projects. (4) Conclusions: we find out that FDPs oriented towards enhancing OSS projects can introduce students into real-world, practical examples of software engineering principles, give them a boost in their confidence about their technical and communication skills and help them build a portfolio of contributions to daily used worldwide open source applications.
Knowledge capability and fraud risk assessment in Nigeria deposit money banks: The mediating effect of problem representation

Abstract Nigeria Deposit Insurance Corporation (NDIC) annual reports (2014–2017) suggest that the country’s deposit money banks (DMBs) have been exposed to escalating incidence of fraud and forgeries. This has hampered their capacity, efficiency and contribution to national economic growth and development. This study examines the capability and competence of DMB regulators to prevent and detect fraud and, at the same time, develop an effective mechanism to do so. The study employed quantitative methodology. Data was collected using questionnaires administered on 350 forensic accountants and bank examiners working with the Central Bank of Nigeria (CBN), NDIC and 15 randomly selected DMBs in Lagos. Data collected were analyzed using descriptive statistics and multivariate regression. Key results include significant positive relationship between the study variables and reduction in fraud incidence in DMBs. This result has implications for existing accounting literature on knowledge capability and competence as vehicles for fraud prevention and detection in DMBs in Nigeria. The study recommends an integrative approach to bank examination in which both forensic accountants and bank examiners are involved as permanent fixtures in fraud prevention and detection in DMBs. This will guarantee a fraud-free DMB sector.
Global solar radiation modeling using different machine learning and empirical models in Northeast China

Reliable global solar radiation (Rs) information is crucial for the design and management of solar energy systems for agricultural and industrial production. However, Rs measurements are unavailable in many regions of the world, which impedes the development and application of solar energy. To accurately estimate Rs, this study developed a novel machine learning model, called a Gaussian exponential model (GEM), for daily global Rs estimation. The GEM was compared with four other machine learning models and two empirical models to assess its applicability using daily meteorological data from 1997–2016 from four stations in Northeast China. The results showed that the GEM with complete inputs had the best performance. Machine learning models provided better estimates than empirical models when trained by the same input data. Sunshine duration was the most effective factor determining the accuracy of the machine learning models. Overall, the GEM with complete inputs had the highest accuracy and is recommended for modeling daily Rs in Northeast China.
Multi-geomagnetic-component assisted localization algorithm for hypersonic vehicles

Owing to the lack of information about geomagnetic anomaly fields, conventional geomagnetic matching algorithms in near space are prone to divergence. Therefore, geomagnetic matching navigation algorithms for hypersonic vehicles are also prone to divergence or mismatch. To address this problem, we propose a multi-geomagnetic-component assisted localization (MCAL) algorithm to improve positioning accuracy using only the information of the main geomagnetic field. First, the main components of the geomagnetic field and a mathematical representation of the Earth’s geomagnetic field (World Magnetic Model 2015) are introduced. The mathematical relationships between the geomagnetic components are given, and the source of geomagnetic matching error is explained. We then propose the MCAL algorithm. The algorithm uses the intersections of the isopleths of the geomagnetic components and a decision method to estimate the real position of a carrier with high positioning accuracy. Finally, inertial/geomagnetic integrated navigation is simulated for hypersonic boost-glide vehicles. The simulation results demonstrate that the proposed algorithm can provide higher positioning accuracy than conventional geomagnetic matching algorithms. When the random error range is ±30 nT, the average absolute latitude error and longitude error of the MCAL algorithm are 151 m and 511 m lower, respectively, than those of the Sandia inertial magnetic aided navigation (SIMAN) algorithm.
Assessment of Nurses’ Knowledge toward Neonatal Resuscitation

Background: Neonatal resuscitation is the set of interventions provided at the time of birth to support the establishment of breathing and circulation. 136 million births annually, (approx. 5-10%) require simple stimulation at birth to help them breath like rubbing and drying. Basic resuscitation with a bag-and-mask is required for an estimated 6 million (approx. 3-6%) of these babies each year, and is sufficient to resuscitate most neonates with secondary apnea. Methods: A Descriptive cross-sectional design is used through the present study in order to :To assess the nurses knowledge concerning cardiopulmonary resuscitation to neonatal and To find out the relationship between the knowledge scores of the nurses and their selected demographic variables of age, gender, level of education, years of experience, and training session. The period of the study is from The study was carried out from 20th December 2018 up to march 28th, 2019. A Non-probability (purposive ) sample of (60) nurses who are working in the delivery rooms in (Al-Zahra Hospital, AL-Forat general Hospital Al-Hakeem general Hospital and Al- Manathera hospital ) are included in the study sample. The data are collected through using a well-designed questionnaire that consist of (2) parts: Part I: Demographic data. This part consists of (8) items, including age, gender, Marital Status, years of experience, Level of education, Economic state, Residency, Training course in cardiopulmonary resuscitation ,and number of training courses. And Part 2: Information of the Nurses Knowledge toward Neonatal Resuscitation in the Delivery Rooms: This part of the questionnaire is consisting of ( 22) questions about Neonatal Resuscitation in the Delivery Rooms . the validity through (12) experts from different specialties (Face Validity) for reviewing the study instrument. The data was analyzed through using of the descriptive and inferential statistical analysis approaches. Results: The findings of the present study indicate that the Overall assessment for nurses Knowledge about the neonatal cardiopulmonary resuscitation are Fair. Also there is a there is a highly significant association between the nurses Knowledge concerning cardiopulmonary resuscitation to neonatal and their (Years of Experience, Hospital Name, No. of training course), while there is a non-significant relationship with the remaining demographic and clinical data
Time-course of apparent diffusion coefficient in neonatal brain injury: the first piece of the puzzle.

The diffusion phenomenon is the random translational motion (Brownian motion) of molecules in matter. Diffusion depends on the type of molecule and its environment and is typically described by a coefficient, known as the diffusion coefficient . Diffusion-weighted 1H MR imaging allows in vivo measurement of free water diffusion coefficient in human brain and, as importantly, permits generation of diffusion coefficient brain maps that help localize derangements in specific brain regions. In the human brain, the diffusion of free water is influenced by several factors, including cellular structure, myelin, and circulation of blood in capillary networks.1 Hence, what can be measured in the image voxel, usually on the order of millimeters in dimension, is an apparent diffusion coefficient (ADC) that accounts for the effect of these factors on the diffusion of free water in vivo.2 Recent observations have suggested that the diffusion of free water in the extracellular compartment is faster than in the intracellular compartment because of the hindering effects of cellular structure and that the ADC measurement reflects a weighted average of the contribution from both compartments.3 Another observation …
Improvement of a Tunable Stiffness Organ-Grasping Device by Design of a Wavy-Shaped Beam Structure

Tunable stiffness mechanisms can increase the noninvasiveness and stability of organ manipulation in laparoscopic liver resection. We have developed an organ-grasping device using beam-shaped tunable stiffness mechanism. Increasing the change ratio of stiffness will improve the performance of the device by offering high flexibility when adhering to the liver surface and high rigidity during the manipulation of the liver; however, optimal design of the beam has not been investigated. In this study, we investigate the wavy structure shape of the device that enhances the change in the ratio of stiffness. To increase the stiffness in a high-stiffness state, we used principal stress lines in the device to design the edge curve of the wavy shape material in the beams. We also investigated the arrangement of the wavy shape to decrease the stiffness in a low-stiffness state. Simulation using finite element method showed that the change ratio of stiffness was improved up to 13.0 by the new wavy shape arranged with the uniformly thick bottom of the waves.