Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparison of machine learning models for suspended sediment load classification

ABSTRACT The suspended sediment load (SSL) is one of the major hydrological processes affecting the sustainability of river planning and management. Moreover, sediments have a significant impact on dam operation and reservoir capacity. To this end, reliable and applicable models are required to compute and classify the SSL in rivers. The application of machine learning models has become common to solve complex problems such as SSL modeling. The present research investigated the ability of several models to classify the SSL data. This investigation aims to explore a new version of machine learning classifiers for SSL classification at Johor River, Malaysia. Extreme gradient boosting, random forest, support vector machine, multi-layer perceptron and k-nearest neighbors classifiers have been used to classify the SSL data. The sediment values are divided into multiple discrete ranges, where each range can be considered as one category or class. This study illustrates two different scenarios related to the number of categories, which are five and 10 categories, with two time scales, daily and weekly. The performance of the proposed models was evaluated by several statistical indicators. Overall, the proposed models achieved excellent classification of the SSL data under various scenarios.
In good company?: On the threshold of robotic Companions

Most contributors to this volume believe that only technical matters stand between where we are now and a time when robots will be our Companions and teachers. Robots need to expand their domains of understanding, and if those domains should be emotional, well, that will be a technical matter as well. So while this volume expresses designers’ enthusiasm about robots as technical objects, it challenges us to see robots as something more, as evocative objects. What are we thinking about when we are thinking about robots? We are thinking about aliveness and authenticity, love and spirituality. We are thinking about what it means to build a psychology. We are thinking about what makes people special. Or perhaps that they are not so special after all.
Dual‐stage time series analysis on multifeature adaptive frequency domain modeling

Time series research in academic and industrial fields has attracted wide attention. However, the frequency information contained in time series still lacks effective modeling. The studies found that time series forecasting relies on different frequency patterns: short‐term series forecasting relies more on high‐frequency components, while long‐term forecasting focuses more on low‐frequency data. To better describe the multifrequency mode, a dual‐stage multifeature adaptive frequency domain prediction model (DMAFD) is proposed in this paper. DMAFD contains two stages. First, it adopts the XGBoost algorithm to obtain a feature vector by analyzing the feature importance. Second, the frequency feature extraction of time series and the frequency aware modeling of the target sequence is integrated, for building an end‐to‐end prediction network based on the dependence of time series on frequency mode. The innovation is reflected in the fact that the prediction network can automatically focus on multifrequency components according to the dynamic evolution of the input sequence. Extensive experiments on four real data sets from different fields show that DMAFD obtains higher accuracy and smaller lags in time step analysis compared with state‐of‐the‐art algorithms.
Study on the Structure, Magnetic Properties and Mechanism of Zn-Doped Yttrium Iron Garnet Nanomaterial Prepared by the Sol-gel Method

To explore the effect and mechanism of bivalent ion doping on yttrium iron garnet (YIG), Zn-YIG (Zn-doped YIG) nanoparticles with a size of 60~70 nm were prepared by the sol-gel method. It was proven that Zn ion doping resulted in lattice expansion and internal stress due to crystallite size shrinkage. A Raman spectroscopic analysis proved the influence of Zn doping on the crystal structure and peak intensity by analyzing Raman vibration modes. The characteristics and chemical mechanism of mass loss and phase evolution in each temperature region were explored through TG-DSC measurements. Moreover, it was revealed that the antiferromagnetic coupling, pinning mechanisms and particle aggregation lead to coercivity, exhibiting different variation trends. A saturation magnetization (Ms) curve variation mechanism was further revealed, which was due to the thermal effects, super-exchange effect, and coupling effect between sub-lattices. Meanwhile, the influence of the thermal effect on Ms and its mechanism were explored by spin theory, and it was proven that it was mainly caused by the random arrangement of magnetic moments and thermal vibration. These results provide theoretical support for the wider application of YIG devices in microwave and high-temperature fields.
Feasibility of a Home Motor Skill Intervention for Children with CHARGE Syndrome

This study examined the effect of a home-based six-week motor skill intervention for children with CHARGE syndrome. Six families with children with CHARGE syndrome participated in this study. The children were assessed on their motor skills with the Test of Gross Motor Development 3 prior to the intervention and then again on the four most practiced motor skills after the intervention. Parents were also given a parental perceptions questionnaire before and post intervention. The families were provided a Gross Motor Development Curriculum, videos, tip sheets, and equipment to support the intervention. Families maintained weekly logs of their specific training practices. Each family was interviewed, and the transcripts were analyzed for themes. The four themes that emerged were Personal goals, Improvement, Barriers, and Overcoming challenges. Results revealed that it is feasible to utilize this protocol to improve motor skills for children with CHARGE syndrome.
The effect of diet counseling and physical activity on the components of metabolic syndrome in children: A Randomized Clinical Trial

Objective: Metabolic syndrome is a collection of metabolic abnormalities that increase the risk of cardiovascular disease and diabetes. Therefore, this study investigated the effect of dietary and physical activities counseling on components of metabolic syndrome in school-age children with metabolic syndrome. Methods: This study is a randomized clinical trial on children aged 6–12 years (n = 60) that was conducted with metabolic syndrome. The participants were divided into three groups, the intervention group (including dietary counseling, physical activity counseling, and diet and physical activity counseling group) and a control group. The data collection method in this study was based on interviews with parents and completing a physical activity and nutrition questionnaire appropriate to the group, measuring blood pressure, blood sugar, high-density lipoprotein, triglycerides, and anthropometric indicators including height, waist, and weight. The intervention was carried out for 4 months. Data analysis was performed using SPSS21. Results: The results showed that there was a statistically significant difference between the means of abdominal obesity, hypertension, fasting blood sugar, high-density lipoprotein, and triglycerides in the three experimental groups (diet, physical activity, diet, and physical activity) and the control group (p < 0.001). Conclusion: According to the results of this study, counseling on diet and physical activity program execution is an essential base for controlling components of metabolic syndrome in children.
Fracture Toughness and Blocking Force of Temperature-Sensitive PolyNIPAAm and Alginate Hybrid Gels

In the field of actuator materials, hydrogels that undergo large volume changes in response to external stimuli have been developed for a variety of promising applications. However, most conventional hydrogels are brittle and therefore rupture when they are stretched to moderate strains (~50%). Thus, gels to be used for actuators still require improved mechanical properties and actuation performance. In this study, we synthesized a tough and thermo-sensitive hydrogel with a large actuation force by forming interpenetrating networks between covalently crosslinked poly(N-isopropylacrylamide) and ionically crosslinked alginate. Poly(N-isopropylacrylamide) was used as a thermo-sensitive actuation material, and alginate was found to enhance the mechanical properties of the hydrogels. Due to the enhanced elastic modulus and energy dissipation in the hybrid gel, the toughness was increased by a factor of 60 over that of pure PNIPAAm gel. Further, based on the results showing that the hybrid gel exhibits an actuation force that is seven times higher than that of pure PNIPAAm gel, the hybrid gel is more applicable to real actuators.
A comorbidade tuberculose-diabetes no Brasil, 2012-2018: análise espacial exploratória e modelagem estatística

RESUMO Objetivo. Descrever a distribuição espacial da comorbidade tuberculose-diabetes e identificar os determinantes sociais da dupla carga no período de 2012 a 2018 no Brasil. Métodos. Este estudo ecológico utilizou os municípios como unidade de análise. Incluíram-se todos os casos de tuberculose notificados de 2012 a 2018 ao Sistema de Informação de Agravos de Notificação. Como determinantes, foram analisadas variáveis socioeconômicas de emprego, renda e desenvolvimento e o indicador de cobertura da atenção básica. O índice de Moran global foi calculado para verificar a existência de autocorrelação espacial da comorbidade. O índice de Moran local foi utilizado para delimitar clusters de tuberculose-diabetes: alto/alto (municípios com alta proporção de tuberculose-diabetes cujos vizinhos também apresentaram altas proporções) e baixo/baixo (municípios com proporção abaixo da média, cercados por municípios com baixas proporções). Resultados. Observou-se elevação na proporção de tuberculose-diabetes na maioria das regiões brasileiras. Constatou-se autocorrelação espacial da comorbidade tuberculose-diabetes e identificou-se um cluster alto-alto de tuberculose-diabetes reunindo 88 municípios, pertencentes principalmente às regiões Nordeste, Sudeste e Sul, com média de prevalência da comorbidade de 28,04%. As variáveis “percentual da população que vive em domicílios com densidade superior a duas pessoas por dormitório”, “percentual de desemprego de pessoas maiores de 18 anos” e “renda per capita” relacionaram-se à ocorrência da comorbidade. Conclusão. Os resultados mostraram uma distribuição não aleatória da comorbidade tuberculose-diabetes, com áreas de alto risco e variáveis explicativas de sua ocorrência. Esses achado reforçam a necessidade de operacionalizar a colaboração entre programas de tuberculose e diabetes, com vistas ao controle tanto de cada agravo isoladamente quanto da sindemia.
Acceptable Inclusion Levels for Selected Brown and Red Irish Seaweed Species in Pork Sausages

Commercially available Irish edible brown (Himanthalia elongata—sea spaghetti (SS), Alaria esculenta—Irish wakame (IW)) and red (Palmaria palmata—dulse (PP), Porphyra umbilicalis—nori) seaweeds were incorporated into pork sausages at 1%, 2.5%, and 5%. Proximate composition, salt, water-holding (WHC), cook loss, instrumental colour analysis, texture profile analysis (TPA), and sensory analysis were examined. Protein (13.14–15.60%), moisture (52.81–55.71%), and fat (18.79–20.02%) contents of fresh pork sausages were not influenced (p > 0.05) by seaweed type or addition level. The ash content of pork sausages containing PP, SS, and IW at 2.5% and 5%, and nori at 5%, were higher (p < 0.05) than the control sample. In comparison to the control, sausages containing nori, SS, and IW at 5% displayed higher (p < 0.05) WHC. Cook loss was unaffected (p > 0.05) by the addition of seaweeds into sausage formulations, compared to the control and within each seaweed. The addition of seaweeds into sausages had an impact on the surface colour (L* a* b*) and texture profile analysis (TPA) at different inclusion levels. Overall, hedonic sensory acceptability decreased (p < 0.05) in cooked sausages containing PP at 2.5% and 5%, and SS and IW at 5%.
A novel reconfigurable antenna array with controllable tuning and beam steering

This article describes a reconfigurable monopole liquid antenna array, suitable for wireless communications in the UHF band, focusing on obtaining and controlling notch radiation directions. Two different implementations are being studied, at the beginning three collinear monopoles placed over a ground plane and then, five monopoles over a ground plane placed in such a manner as to form a cross. By replacing the parasitic elements with cylinders filled with conductive fluids and also surrounding the driven element, it is possible it is possible to change at will the whole antenna's layout and to control both the maximum directivity angle over the azimuth and the resonant frequency, filtering interfered channels and background noise. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:1782–1786, 2016
Challenges in Analyzing Functional Epigenetic Data in Perspective of Adolescent Psychiatric Health

The formative period of adolescence plays a crucial role in the development of skills and abilities for adulthood. Adolescents who are affected by mental health conditions are at risk of suicide and social and academic impairments. Gene–environment complementary contributions to the molecular mechanisms involved in psychiatric disorders have emphasized the need to analyze epigenetic marks such as DNA methylation (DNAm) and non-coding RNAs. However, the large and diverse bioinformatic and statistical methods, referring to the confounders of the statistical models, application of multiple-testing adjustment methods, questions regarding the correlation of DNAm across tissues, and sex-dependent differences in results, have raised challenges regarding the interpretation of the results. Based on the example of generalized anxiety disorder (GAD) and depressive disorder (MDD), we shed light on the current knowledge and usage of methodological tools in analyzing epigenetics. Statistical robustness is an essential prerequisite for a better understanding and interpretation of epigenetic modifications and helps to find novel targets for personalized therapeutics in psychiatric diseases.
The impact of English on learners’ wider lives

The spread of English and its impact on educational domains and career trajectories has been well documented. However, the impact of the spread and penetration of English still needs to be investigated in some detail. This report presents the outcomes of a project which investigated the impact of English on learners’ wider lives and gathered data from five sites: Abu Dhabi, Bogota, Shandong, Leeds and Salford. Data from this project suggests that after education and work, areas of lives most influenced by English are access to knowledge and new ways of thinking, as well as social contact and leisure activities. Resourcing English language teaching is often justified with reference to improved employment opportunities and standards of living. However, data revealed that English played an equally important role in enriching the quality of life. Data also raised questions about the ownership of English. The report suggests two tools for measuring the impact of English on learners’ lives.
Multiple-Domain Matrices and Knowledge Maps for Visualizing Knowledge-Driven Scenarios

As stakeholders' needs and requirements change over time, companies must develop their knowledge for designing more complex products in order to fulfill these needs. Knowledge mapping is an approach to visualize companies' knowledge distribution. Scenario technique is used for planning future developments by revealing several future options. In this paper we combine a Multiple-Domain Mapping (MDM) based knowledge mapping approach and scenario technique to acquire the current company's knowledge structure, to derive future options regarding the knowledge structure, and to show these options and the development for realizing these options using knowledge maps. Starting from the departments' current knowledge map, we developed a methodology to build a scenarios knowledge map which depicts the future knowledge structure. The difference between current and scenario knowledge maps can also be illustrated as a knowledge map which shows the required changes of the department. The developed methodology was applied in a mechanical engineering company.
Analysis and measurement of permittivity in composite materials at low frequencies

This paper focuses on the measurement of the effective permittivity eeff in composite structures. A reconsideration of some concepts related to the measurement of effective permittivity for dielectric media and composite materials at low frequencies is discussed. In particular, the possibility to measure the average electric displacement and electric field over a region of interest on the basis of the circulation law of the magnetic field by the use of properly shaped Rogowski coils is analyzed. A three-dimensional finite element analysis is carried out to simulate the effective magnetic permeability of a composite materials with the aim to find analogy between the two macroscopic electromagnetic parameters.
Factors Influencing Knowledge Management Practices in Academic Libraries: A Developmental Paper

This developmental paper provides an overview of the factors influencing knowledge management (KM) practices in academic libraries as currently understood and presented in the literature. Important here is the discussion pertaining to organizational culture, KM strategy development and the role of information communication technology in KM within academic libraries as critical factors. The paper also presents an overview of KM by clarifying the necessary terminology from relevant studies in the literature that have focused on KM. Factors which are regarded in the literature as contributing to the failure of successful implementation of KM practices are also discussed.
Proactive Network Fault Management for Reliable Subscribed Network Slicing in Software-Defined Mobile Data IoT Services

Proactive network solutions (PNS) become the precise management and orchestration (MANO) in the applied artificial intelligence (AI) era. The PNS proposed to invent future mobile edge communications by predicting the fault networks for reliable slicing configurations. Furthermore, federated learning (FL) systems have been appealed to apply for critical mobile data privacy of the Internet of Things (IoT) services. Therefore, FL-based IoT communications need a precise PNS to pretend the network failures to maximize the model inference and improve end-to-end (E2E) quality of services (QoS). This paper proposed an adopted software-defined network slicing (NS) for IoT communications based on network failure prediction and resource allocations by utilizing a deep-Q-network approach (DQN). The proposed proactive reliable subscribed network slicing was based on software-defined DQN-based proactive dynamic resource allocations (SDQN-PDRA) for adaptive communication configurations. The experiment showed that the proposed approach enhanced the significant outcomes of stability, reliability, convergence time, and other communication QoS.
The Long-Term Culture of Human Fibroblasts Reveals a Spectroscopic Signature of Senescence

Aging is a complex process which leads to progressive loss of fitness/capability/ability, increasing susceptibility to disease and, ultimately, death. Regardless of the organism, there are some features common to aging, namely, the loss of proteostasis and cell senescence. Mammalian cell lines have been used as models to study the aging process, in particular, cell senescence. Thus, the aim of this study was to characterize the senescence-associated metabolic profile of a long-term culture of human fibroblasts using Fourier Transform Infrared and Nuclear Magnetic Resonance spectroscopy. We sub-cultivated fibroblasts from a newborn donor from passage 4 to passage 17 and the results showed deep changes in the spectroscopic profile of cells over time. Late passage cells were characterized by a decrease in the length of fatty acid chains, triglycerides and cholesterol and an increase in lipid unsaturation. We also found an increase in the content of intermolecular β-sheets, possibly indicating an increase in protein aggregation levels in cells of later passages. Metabolic profiling by NMR showed increased levels of extracellular lactate, phosphocholine and glycine in cells at later passages. This study suggests that spectroscopy approaches can be successfully used to study changes concomitant with cell senescence and validate the use of human fibroblasts as a model to monitor the aging process.
Ammonio Methacrylate Copolymer (Type B)-Diltiazem Interactions in Solid Dispersions and Microsponge Drug-Delivery Systems

This paper presents a complex analytical study on the distribution, solubility, amorphization, and compatibility of diltiazem within the composition of Eudragit RS 100-based particles of microspongeous type. For this purpose, a methodology combining attenuated total reflectance Fourier transform infrared (ATR-FTIR) absorption spectroscopy, differential scanning calorimetry (DSC), scanning electron microscopy with energy-dispersive X-ray microanalysis (SEM-EDX), and in vitro dissolution study is proposed. The correct interpretation of the FTIR and drug-dissolution results was guaranteed by the implementation of two contrasting reference models: physical drug–polymer mixtures and casting-obtained, molecularly dispersed drug–polymer composites (solid dispersions). The spectral behavior of the drug–polymer composites in the carbonyl frequency (νCO) region was used as a quality marker for the degree of their interaction/mutual solubility. A spectral-pattern similarity between the microsponge particles and the solid dispersions indicated the molecular-type dispersion of the former. The comparative drug-desorption study and the qualitative observations over the DSC and SEM-EDX results confirmed the successful synthesis of a homogeneous coamorphous microsponge-type formulation with excellent drug-loading capacity and “controlled” dissolution profile. Among them, the drug-delivery particles with 25% diltiazem content (M-25) were recognized as the most promising, with the highest population of drug molecules in the polymer bulk and the most suitable desorption profile. Furthermore, an economical and effective analytical algorithm was developed for the comprehensive physicochemical characterization of complex delivery systems of this kind.