Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of IoT-based Technology in Vaname Shrimp Cultivation: A Systematic Literature

Vaname shrimp is one type of shrimp that the people of Indonesia widely cultivate. However, there are several problems in the failure of vaname shrimp production, including poor water quality during the maintenance period, especially in ponds. Based on the selection of inclusion and exclusion criteria and quality assessment, it was found that the use of technology in cultivation activities will help streamline time, energy, and human resources so that decision-making can be made faster. The technology used is limited to water quality monitoring, disease monitoring, and EMS. The methods used to create IoT-based technology are hardware devices, software tools, function tests, and user tests. The smaller the error value, the more accurate the data obtained.
ANSSI views on the Post-Quantum Cryptography transition

In this position paper, the current ANSSI views on the so-called post-quantum cryptography transition are outlined. In particular, ANSSI recalls the context of the quantum threat and introduces a provisional transition agenda to mitigate this quantum threat with a progressive increase of assurance on the new post-quantum algorithms without introducing any vulnerability. The objective of this paper is twofold: providing directions to industrials developing security products and outlining the transition agenda in terms of French security visas [3].
Active Perception in Meaningful Worlds

This paper sketches a conceptual framework for thinking about perception. By identifying certain signi cant aspects of key empirical studies, I endorse and defend the increasingly in uential view that perception should be conceptualized an an activity performed by an autonomous agent in the context of some adaptive behaviour. I then draw upon insights from ecological, dynamical and enactive views on the relationship between perceiving agents and their environments to develop a philosophical account of active perception. Finally I suggest how the mechanisms identi ed by the previously mentioned empirical work t into the conceptual framework.
Towards Indistinguishable Augmented Reality

Adding virtual information that is indistinguishable from reality has been a long-awaited goal in Augmented Reality (AR). While already demonstrated in the 1960s, only recently have Optical See-Through Head-Mounted Displays (OST-HMDs) seen a reemergence, partially thanks to large investments from industry, and are now considered to be the ultimate hardware for augmenting our visual perception. In this article, we provide a thorough review of state-of-the-art OST-HMD-related techniques that are relevant to realize the aim of an AR interface almost indistinguishable from reality. In this work, we have an initial look at human perception to define requirements and goals for implementing such an interface. We follow up by identifying three key challenges for building an OST-HMD-based AR interface that is indistinguishable from reality: spatial realism, temporal realism, and visual realism. We discuss existing works that aim to overcome these challenges while also reflecting against the goal set by human perception. Finally, we give an outlook into promising research directions and expectations for the years to come.
Technology supported, self-directed learning: an investigation of blended learning and online assessment on a pre-service teacher education

This study aimed to explore the use of a blended learning course of study on an undergraduate teacher programme in the Republic of Ireland. The study aimed to examine the use of a blend of online learning with face-to-face tuition and web-based assessment. The study also aimed to investigate students’ reactions to the course of study by examining their levels of participation and investigating the extent to which the course may have influenced their attitudes to the use of ICT in teaching and learning. The study was exploratory in nature and employed a case study methodology which involved the use of online surveys, the collection of students’ responses to formative assessment questions as well as summative assessment grades, the analysis of online logs to determine levels of participation, student focus groups and tutor observation. The study found that student engagement with the course was both widespread and enlightening, student enthusiasm for the use of information technology in education was almost ubiquitous and most students expressed a desire to utilise the technology as part of their teaching. The study also found that the course was instrumental in causing a change in attitude in favour of the use of blended learning as a tool to enhance teaching and learning for a majority of this student cohort. These findings suggest that student-teachers are willing and able to engage with a self-directed, online course of study but that tutor support continues to be required to optimise student learning. Student-teachers are enthusiastic about the potential of information technology in teaching and learning but their limited exposure to models of good practice may result in quite traditional forms of usage that fail to benefit from the enormous potential of the technology.
Species composition and vegetation structure of lowland forest in Rambut Island Wildlife Reserve, Kepulauan Seribu, DKI Jakarta

Lowland forest needs to be studied for its structure and composition because it has high biodiversity. Vegetation analysis aims to determine the species composition and structures of lowland forest vegetation in Rambut Island Wildlife Reserve. Vegetation analysis was carried out by the stripes and plotted lines with an observed area of 20,000 m2 with several ten lines of observation with an area of 20x100 m. The vegetation data obtained were processed to obtain the Importance Value Index (IVI), the Plant Species Diversity Index, the Species Dominance Index, the Species Richness Index and the Species Evenness Index. Retrieval of abiotic data such as light intensity, altitude, slope, wet and dry temperature, relative humidity, soil pH, soil cation exchange capacity, and soil texture. There are 15 types of plant species in the research location. Kedoya dominates at the tree level, mengkudu dominates at the pole level, kingkit dominates at the sapling level, and kedoya dominates at the seedling level. The highest density value is found at the seedling growth rate of 900 500 individuals ha-1 resulting in an inverted “J” curve in both vertical and horizontal structures.
Application of Marine Algae in Water Pollution Control

Water pollution is mainly caused by chemical pollution, especially inorganic and organic pollutants, including toxic metals and metalloids as well as various synthetic or organic chemicals. Marine algae have good adsorption capacity for heavy metals such as As, Zn, Cu, Cd, Pb et.al in polluted water, and can also have certain removal ability for pollutants such as nitrogen and phosphorus in sewage. This paper reviews the current application status of wastewater treatment and the mechanism and application of marine algae in wastewater treatment, aiming at providing reference for further research and development of marine algae in wastewater treatment.
The usefulness of a carpal tunnel compression assessment tool: evidence of reliability and validity in assessing carpal tunnel syndrome

Carpal Tunnel Syndrome (CTS) affects many individuals throughout their daily lives and is the result of compression of the median nerve in the carpal tunnel space. At present, there is a lack of CTS assessment tools that are easy, accurate, and less expensive to implement than traditional methods to help healthcare professionals identify individuals with CTS. The purpose of this study was to provide evidence for the validation of a simple and easy to implement carpal tunnel compression assessment tool (CTCAT) to more accurately assess CTS. The CTCAT is a portable testing device that can easily be used by medical professionals to assist with reducing diagnostic wait times and/or costs associated with CTS. As the CTCAT is a new instrument, much of the work in this study involved assessing the reliability and validity of this prototype development and a 10-point likert pain scale. A sample of 19 participants was used for this study (10 in CTS group, 9 in control group). Physical testing was completed with the CTCAT based on the Carpal Compression Test protocol. Construct-related evidence of validity was provided by relating the CTCAT to the Boston Carpal Tunnel Questionnaire and a 10-point Likert pain scale. The findings were analyzed by using correlation techniques (i.e., intraclass and Pearson’s correlations) and measures of internal consistency (i.e., Cronbach’s alpha). The outcome of this study revealed that the CTCAT produced reliable and valid measures when assessing participants with CTS based on response time to symptom onset on two testing dates. This outcome may have implications for clinicians because it provides an avenue to use a simple, reliable and valid instrument to monitor, assess and prevent CTS.
EVALUATION OF PHYSICAL ACTIVITY LEVELS AND QUALITY OF LIFE OF TEACHERS

The aim of this study is to evaluate the levels of physical activity levels and quality of life of teachers. 474 volunteer teachers [male (n = 276) and female (n = 198)] participated in this study. Permission was obtained from the Provincial Directorate of National Education at the beginning of the research. The teachers who participated in this study applied the physical activity short form and SF-36 quality of life scale (8 dimensions, 2 summary score) as well as personal information forms including age, gender, height, body weight. The independent samples T test was used to compare pair wise groups variables and One-way ANOVA was used to compare more than two group’s variables. The Tukey test was used to determine the difference between multiple groups. When the difference between participants' age groups, gender and physical activity levels and quality of life summary scores were examined; statistically significant differences were found in the physical health scores (p <0.05) and no statistically significant difference was found in the mental health scores (p> 0.05) of the teachers. It has been found that increased levels of physical activity increases physical health summary scores. In addition, when the difference between body mass index and quality of life summary scores is examined; there was no statistically significant difference in mental health summary scores (p> 0.05). As a result, it was found that increased levels of physical activity increases physical health summary scores of the teachers, but does not change mental health summary scores.
Impact of weather factors on hospital admission of hand, foot and mouth disease under climate change scenarios in Ho Chi Minh City.

Hand, foot, and mouth disease (HFMD) is one of the most common communicable diseases in Vietnam. The present study aims to examine the association between weather factors and HFMD in association with hospitalisation. Daily and weekly weather and HFMD data from 2013 to 2018 in Ho Chi Minh City were deployed. Poisson regression model combined with a distributed lag non-linear model (DLNM) was applied to examine the relationship between weather factors and HFMD. The forecasting model for HFMD was performed by using the Global Climate Model (GCM) and Yasushi Honda model. The result showed that the average daily temperature induces an increase in the risk of HFDM hospitalisation was 26°C- 30.1°C. The average daily humidity also caused increasing the risk of hospitalisation of HFMD was 75% - 85%. However, the average daily humidity <60% reduced the risk of getting HFMD. The study provides quantitative evidence that the incidence of HFMD cases was associated with meteorological variables including average daily temperature and daily humidity in Ho Chi Minh City. This findings implies that there is a need for building a public health policy for eliminating and mitigating climate change impact on community health in a resilient approach.
Combination of high order kernel estimators for estimation of fruit trees biomass on critical land

This study aims to estimate fruit tree biomass with a high-order Gaussian kernel estimator. The source of the data was obtained by estimating the relationship between tree diameter (x) and tree biomass (y) which was obtained through the allometric equation y = 0. 11ρx2.62 for branched trees. Data samples were taken as many as 250 obtained from 5 sub-district locations in critical land on longan and mango fruit tree vegetation. The relationship between x and y is then estimated in the form of an equation yi = m (xi) + εi where, i = 1, 2, n. The results of the analysis using the kernel estimator showed that the tree biomass estimation resulted in a smooth regression curve at an optimal bandwidth (h) score of 1.3 (GCV = 122.92) longan and 2.6 (GCV = 3523.25) mango. The relationship between MSE and bandwidth shows a very strong negative correlation with a score of r = -0.959 (p.value = 0.04) in the estimated longan biomass and r = -0.964 (p.value = 0.03) in the estimated mango biomass and is significant (α = 0.05). This means that a parallel increase in the bandwidth score will decrease the MSE score when GCV is controlled.
Towards just-in-time compilation of SQL queries with OMR JitBuilder

The evaluation of SQL expressions and tuple materialization can consume a significant portion of the overall execution time of a query. The goal of our work is to generate efficient machine code for scan, filter, join and group-by operations for a given SQL expression by Just-in-time (JIT) compilation using the OMR JitBuilder compiler framework. Our approach creates a blend of specialized code consisting of compile-time constants and JIT computation for parts of the same SQL expression. The implementation is based on a light-weight integration of JitBuilder into PostgreSQL 12.5, where both the JIT compiled code and interpreted evaluation co-exist for different opcodes in the same bytecode interpreter. We demonstrate with our enhanced PostgreSQL 12.5 that our approach offers improved query performance over purely interpreted execution.
EFFECT OF DETAILED HYDRO TURBINE MODELS ON ANALYSIS RESULTS OF POWER SYSTEM TRANSIENT STABILITY

Simplified ideal models of hydro turbines are applied in power system simulation and the effect of detailed model of hydro turbine on simulation results of power system transient stability remains to be solved. The authors present three kinds of linear models and three kinds of nonlinear models of hydro turbine, including the model based on the four-quadrant characteristics, the model based on the internal characteristics, the simplified analysis nonlinear model, the linearized model based on the mould characteristics, the linearized model based on the internal characteristics, and the ideal model. The effect and the applicability of different detailed models of hydro turbines on power system transient stability are compared and analyzed by use of an example system. The simulation results show that the effect of different detailed models of hydro turbine on power system transient stability is not evident, and the transient process of the power system is not always a large disturbance to the hydraulic system. The simulation results of different detailed models of hydro turbine to medium-term and long-term power system transient stability are different, therefore,the detailed models of hydro turbine should be applied in the medium-term and long-term simulation of power system transient stability.
Quantifying the effect of multiple demand response actions on electricity demand and building services via surrogate modeling

The expansion of commercial building demand response (DR) as a demand-side management resource for the electric grid necessitates new decision support resources for customers to rapidly assess the beneﬁt-risk tradeoﬀs of candidate load ﬂexibility strategies. This work develops surrogate models of load ﬂexibil-ity impacts on oﬃce building electricity demand and indoor temperature. The surrogate models are ﬁt to a large synthetic database generated via whole building simulations of multiple ﬂexibility strategies under a variety of conditions; the models are translated to a Bayesian framework to allow straightforward communication of uncertainty and parameter updating given new evidence. The strong predictive performance of the models underscores their potential utility in guiding DR decision-making in oﬃce settings.
Graph Analysis of Functional Connectomes of Subjects with ADHD and ASD

The prevalence of autism spectrum disorder (ASD) and attention deﬁcit hyperactivity disorder (ADHD) diagnoses has increased in the past decade. Commonly diagnosed in children during preschool, the disorders can cause behavioral, academic, and emotional problems for these patients. In this paper we leverage fMRI scans of patients with typically-developing (TD), ASD, and ADHD as neural con-nectomes. We combine structural and functional connectivity information to form spatiofunctional networks across fMRI scan time. Our paper aims to 1) investigate the neurological features underlying ASD and ADHD 2) construct predictive models that can guide clinicians in diagnosing ASD and ADHD. We compared the performance of linear supervised classiﬁcation models and graph convolutional networks (GCNs). We also performed temporal network analysis to identify differences in neural circuitry across patient types.
Transient Interference Excision in OTHR

High-frequency(HF) skywave over-the-horizon radar(OTHR) looks down its targets from the ionosphere,it has a large operating range and a large cover areas,but it also receives strong backscatterer echoes from the terrain and sea,and interference,such as radio frequency interference,industrial interference,impulsive noise,lightning impulsive,meteor trail echoes and so on.Interference can be divided into long time interference and transient interference.Transient interference lasts a short time,but its intensity is great.This paper first discusses the character of transient interference,then discusses its excision method,finally the method has been successfully applied to the real data from China experimental OTHR.The transient interference excision method is:first eigen-decomposition is used to separate the sea clutter subspace and filter it or ground clutter is filtered in frequency domain directly,then the transient interference can be detected,after that the original echoes with existing transient interference are excised,finally the excised clutter and target echoes are predicted by Burg linear prediction algorithm.
Climate Adaptation: Building resilience through structural transformation

Combining longitudinal conventional macroeconomic data with various climaterelated variables, we examine macro-dynamics of income, employment, and distribution within the climate change framework by using the Global Policy Model of the United Nations. By focusing on a group of thirty countries, this paper uses a transition analysis method between 1978 and 2018 to understand the trajectory of different countries based on their geographical location, level of economic development, demographic and climate characteristics. Results suggest that adaptation strategies should avoid re-enforcing pre-existing unequal social and economic hierarchies, especially in the context of race and gender. Unless marginalized populations are made partners and locally relevant in the adaptation strategies, there is a risk of adverse outcomes. A positive intervention by the governments as proposed in the SDGs would help in addressing the racial and gender inequalities that have been historical institutionalized. Ensuring domestic social safety nets, guaranteeing employment and building green infrastructure would help them transform structurally to sustainable paths. Unfortunately, development expenditures are the first items that get reduced in fiscal restructuring. New investments must be planned in a manner that ensures a non-declining intertemporal trajectory of comprehensive wealth. International cooperation is critical not only for economic development but also for ecosystem and biodiversity conservation.
Study of CoGIS Based on Feature Collaborative Data Model in Task-Group Management Mechanism

The development and some existing problems of CoGIS were discussed. By analyzing the process of coordinated map-editing, a CoGIS cooperative work model was put forward based on work groups and oriented collaborative feature spatial data mode (OCFSDM). The structure of CoGIS model and OCFSDM were discussed and analyzed. Finally, the flow of cooperative map-editing was discussed based on CORBA and database technology. The prototype test system was developed. From the result, the conclusion indicates that the test system has reached the aim of the design.
System Dynamics and Its Applications in Regional Sustainable Development Research:A Review

System dynam ics (SD)based on feedback controltheory and applied by com puter sim ulating techniques is an effective m ethodology for m odeling and analyzing com plex social,econom ic and ecologicalsystem s.W ith the great developm entof com puter techniques and system dynam ics theories,the SD m ethodology has been broadly applied in m any fields.This article reviews briefly the works done in regionalsustainable developm entusing the SD m ethodology in recentyears,and discusses som e furtherresearches which can be carried outin this area.
A Restful Persistent Devs-Based Interaction Model For The Componentized Weap and Leap Restful Frameworks

Modeling the interactions between separate models contributes to building flexible hybrid simulation frameworks. In earlier work, an Algorithmic Interaction Model was proposed and developed to integrate the componentized WEAP and LEAP RESTful frameworks for modeling and simulating water and energy systems. However, this approach does not separate modeling and simulation protocol from each other. It also does not support flexible, structured model hierarchies. To overcome these limitations, the parallel DEVS formalism is used to develop an Interaction Model for use with the DEVS-Suite simulator. The resulting DEVS Interaction Model (DEVS-IM) is supported with a RESTful framework and MongoDB for storing the interaction models for the coupled water and energy models. The DEVS-IM, grounded in system theory and component-based modeling, offers strong support for the model reusability, flexibility, and maintainability traits essential for developing realistic simulations of coupled energy and water systems.
Power potential of Rystraumen, Norway

The maximum power potential of the tidal current Rystraumen close to Tromsø, Norway, is assessed both theoretically and from a depth-integrated numerical model (FVCOM). For the theoretical estimate of the maximum power potential, the topography is simplified to the situation in which the channel connects a large basin, unaffected by the energy extraction, to a closed bay. A set of governing equations is simplified to one single equation, which balances the acceleration of the current velocity, the pressure gradient and the force associated with turbine friction. The theoretical estimate is calculated to 66 MW. From the numerical simulations the maximum power potential is estimated to be 40 MW if one allows for a uniform energy dissipation over one entire cross section of the channel. The reason for the difference in the theoretical and the modeled estimates is that in reality the flow of water is not entering a closed bay, but a pool which is connected to the rest of the sea through three channels. The same difference between theoretical and modeled results is reported in other studies where similar sitiuations have been considered.