Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel FNN-based machine deep learning approach for image aggregation in application of the IoT

ABSTRACT Research on machine deep learning with fuzzy neural network (FNN) is one hot topic in the Artificial Intelligent (AI) domain. In order to support the application of the IoT (Internet of Things) and make use of these image data to get perfect image reasonably and efficiently, it is necessary to fuse these sensed data, therefore the multiple-sensors’ image aggregation becomes a key technology. In this paper, novel FNN-based machine deep learning approach for image aggregation in application of the IoT is proposed. When this approach is done, dynamic learning from eigenvalue transition example can improve traditional learning approach based on static eigenvalue of example. And the neural network is used to be demonstrated its unique superiority of image understanding. FNN-based machine deep learning approach can learn from dynamic eigenvalues, the change of data can be learned and the varieties of the eigenvalue can be understood and remembered. The relative experiments have shown the designed approach for image aggregation is fast and effective, and it can be adapted for the many image applications of the IoT.
Analysis of Biomarkers in Response to High Intensity Functional Training (HIFT) and High Intensity Interval Training (HIIT): A Systematic Review Study

Introduction: Aerobic training with an acyclic and intermittent character triggers high metabolic stress, responsible for generating alterations in several blood biomarkers. Thus, investigations that clarify understanding of metabolic behavior in response to exercise seem pertinent, when considering the dynamics of prescription of physical training and recovery. Objective: Demonstrate and discuss the behavior of blood biomarkers in response to High Intensity Interval Training (HIIT) and High Intensity Functional Training (HIFT). Methods: The PubMed/MEDLINE, Scielo, Lilacs, Bireme, Google Scholar, and Scopus databases were searched from the oldest records available until January 16, 2020. The search was carried out by combining descriptors related to the terms: “HIIT”, “HIFT”, and “blood biomarkers”. To be included, studies were required to: 1) have a clinical trial design; 2) evaluate the effects of an HIIT and/or HIFT protocol; and 3) measure blood biomarkers before and after the training protocol. No restrictions were applied to the characteristics of the participants regarding health condition, age, sex, and level of training. Results: In total, seven studies were included (n=221 participants, aged between 18 and 63 years) that analyzed different population profiles such as athletes, sedentary young people, patients with breast cancer, and diabetics. The biomarkers evaluated included analysis of muscle damage (C Reactive protein and CK); oxidative stress (antioxidant capacity); kidney injury (creatinine and urea); hormones (testosterone and cortisol); cytokines (TNF-α, IL-6, IL-1β, IL-10, IL-4, and IF-γ); and hemogram. In general, the results demonstrated specific patterns for the investigated markers. Thus, there were increases in muscle damage markers, while in the inflammatory markers, there was a reduction in pro-inflammatory cytokines and an increase in anti-inflammatory cytokines. Despite the reduced values of the general blood count, markers such as neutrophils and basophils did not demonstrate statistically significant alterations. Serum testosterone levels were higher and cortisol was lower in the post-exercise period when compared to pre-exercise. Conclusion: These data are of practical relevance when demonstrating patterns of physiological responses, which also characterize knowledge and understanding essential to determine adequate periodization.
“Regaining the Future by Rebuilding the past?”. The Question of Intergenerational Transfer and Production of Cultural, Economic and Social Capital by Women in Poland after the Second World War

Abstract In this article I followed the life stories of five Polish women born between 1939–1949. The key question concerned the intergenerational transmission of socio-cultural and economic capitals, inherited and passed by my narrators under the conditions of a socialist state. By answering this question, I took into account three variables: the first concerns the different positions and capitals of narrators and their families before the WW2; the second concerns the war and its destructive impact on the economic situation of the narrators; the third, the most important, concerns (re)building of the capitals of the narrators living in the condition of the socialist state. An in-depth analysis the life stories of the narrators led me to the following conclusions: (1) even though the families of the narrators had only small capitals before WW2, they (re)built them and multiplied, creating conditions for further development of their generational children after the war; (2) the socialist state made educational and professional development possible for the narrators and they took advantage of these opportunities; (3) the narrators were causative in the (re-) construction and transmission of their capitals, also when the socialist state torn by economic and political crises, had failed them.
The YAG Lidar System Applied in LHAASO

Q.N. Sun,1,∗ L.S. Geng,2 X. Li,1 L. Chen,1 H. Liu,1 Y. Wang,1 F.R. Zhu1 and Y. Zhang2 on behalf of the LHAASO Collaboration (a complete list of authors can be found at the end of the proceedings) 1School of Physical Science and Technology School of Information Science and Technology, Southwest Jiaotong University, 610031 Chengdu, Sichuan, China 2Key Laboratory of Particle Astrophyics Experimental Physics Division Computing Center, Institute of High Energy Physics, Chinese Academy of Sciences, 100049 Beijing, China E-mail: longchen@swjtu.edu. cn
A Coupled-Inductor-Based Soft-Switching Noninverting Buck–Boost Converter With Reduced Auxiliary Component Count

This letter proposes a coupled-inductor-based soft-switching noninverting buck–boost converter (NIBBC) with reduced auxiliary component count. Instead of using multiple auxiliary passive components to achieve soft switching, the proposed coupled-inductor-based NIBBC uses the coupled inductor as the main inductor, and the auxiliary current generated by the magnetic coupling effect is used to obtain the soft switching for all switches. With simple pulsewidth modulation under fixed frequency, full-load range zero-voltage switching can be obtained under a wide voltage range. Unlike the conventional method utilizing the coupled inductor only to generate nonactive power, the coupled inductor of the proposed converter also takes participant in the power transmission. Besides, the added diode can achieve zero current turn-off that avoids the diode recovery issue. The operating principle, the soft switching, and the parameter designs are analyzed in this letter. Finally, experimental results have verified the effectiveness of the proposed solution.
Open and Consistent Geospatial Data on Population Density, Built-Up and Settlements to Analyse Human Presence, Societal Impact and Sustainability: A Review of GHSL Applications

This review analyses peer-reviewed scientific publications and policy documents that use built-up density, population density and settlement typology spatial grids from the Global Human Settlement Layer (GHSL) project to quantify human presence and processes for sustainability. Such open and free grids provide detailed time series spanning 1975–2015 developed with consistent approaches. Improving our knowledge of cities and settlements by measuring their size extent, as well as the societal processes occurring within settlements, is key to understanding their impact on the local, regional and global environment for addressing global sustainability and the integrity of planet Earth. The reviewed papers are grouped around five main topics: Quantifying human presence; assessing settlement growth over time; estimating societal impact, assessing natural hazard risk and impact, and generating indicators for international framework agreements and policy documents. This review calls for continuing to refine and expand the work on societal variables that, when combined with essential variables including those for climate, biodiversity and ocean, can improve our understanding of the societal impact on the biosphere and help to monitor progress towards local, regional and planetary sustainability.
Nutritional and Functional Properties of Gluten-Free Flours

This study characterized and compared 13 gluten-free (GF) flours (rice, brown rice, maize, oat, millet, teff, amaranth, buckwheat, quinoa, chickpea, gram, tiger nut, and plantain) for their nutritional and functional properties. For all GF flours investigated, starch was the major component, except for gram, chickpea, and tiger nut flours with lower starch content (<45%), but higher fiber content (8.8–35.4%). The higher amount of calcium, magnesium, zinc, potassium, phosphorus, similar values for iron and lower content of sodium in gram, makes this flour a good alternative to chickpea or other GF flour to develop healthier food products. Amaranth flour had a high protein digestibility, while tiger nut and millet flours were less digestible. Gram, chickpea, quinoa, buckwheat, and oat flours fulfilled amino acids recommendation for daily adult intake showing no limiting amino acid. Total polyphenolic content and antioxidant capacity showed higher values for buckwheat, followed by quinoa and maize flours. Gram, chickpea, maize, and quinoa flours are good candidates to improve health conditions due to lower saturated fatty acid content. The findings of this study provide useful insights into GF flours and may contribute to the development of novel gluten-free products like bread, cookies, or pasta.
Models Comparison And Validation With the Experimental Nano- Scale Silicon Substrate Based Annealed Pt/HfO2/Pt Resistive Random Access Memory Cell

Metal oxide resistive random access memory (RRAM) is a novel device that provides an alternate solution for existing CMOS memory devices. In RRAM, correlate the experimental result with a simulated result by a unique model is a critical task. This work focused on the validation of silicon substrate-based fabricated single layer annealed and electroformed at 80oC ambient temperature (A-80) RRAM cell. The experimental result concludes that the proposed Pt/HfO2/Pt device provides the forming voltage of 3.8 V, Vset = 1.7 V, and Vreset=-0.8 V. Switching results are compared with the simulated result which is working based on non-linear ion drift, Yakopcic and voltage threshold adaptive memristor (VTEAM) models. VTEAM model gives a closure relationship with experimental data and well suited for our fabricated device. Further, the VTEAM model is modified to contribute accurate results and one of the standard model metrics, accuracy is analysed for a modified VTEAM model. Statistical analysis proves that, the mean error percentage of modified VTEAM and VTEAM models against experimental outcomes are 21.4% and 25.3 % respectively
Effects of Cover Crop and Tillage Method Combinations on the Microbiological Traits of Spring Wheat (Triticum aestivum L.)

We carried out multivariate characterisation of phenotypic variability in 27 treatments that were combinations of cover crop, tillage method, and year. Canonical variate analysis was employed to observe nine microbiological traits in an experiment established in a split-plot design. Between 2011–2013, a field experiment was conducted on soils classified as Albic Luvisols. The first-order factor was analysis of the effect of sowing a stubble cover crop: (Control: No cover crop sown; cover crop sown after skimming; no tillage: Cover crop sown directly). The second experimental factor involved evaluating the effects of three tillage methods (direct sowing; simplified tillage to a depth of 12–15 cm with a combined cultivator; spring ploughing to a depth of 25 cm) on nine microbiological traits. The year of research was used as a factor to differentiate between the count and activity of soil microorganisms. The traits (moulds and copiotrophic bacteria, and oligotrophic bacteria and actinobacteria) were significantly correlated (positively or negatively) at all five terms. Pearson’s test confirmed the relationships between the physiological groups of soil microorganisms after the application of organic matter, and captured the positive correlation between moulds and copiotrophs at all terms of the study.
Mindfulness, perceived partner responsiveness, and relationship quality: A dyadic longitudinal mediation model

General and domain-specific (e.g., relationship-specific) mindfulness frequently predict salutary relationship outcomes. The present preregistered study examined whether general and relationship mindfulness predicted longitudinal change in positive and negative relationship quality via greater perceived partner responsiveness (PPR). One hundred couples completed a baseline lab session (Phase 1), a 14-day diary period (Phase 2), and a 2-month follow-up survey (Phase 3). Actor-Partner Interdependence Mediation Model analyses revealed that actors’ Phase 1 relationship mindfulness—but not general mindfulness—predicted increases in their own positive relationship quality from Phase 1–3 and decreases in their own negative relationship quality from Phase 1–3 indirectly via their own Phase 2 PPR. An exploratory alternate model testing if Phase 1 PPR predicted changes in Phase 1–3 relationship quality via Phase 2 relationship mindfulness did not reveal significant indirect effects. All results held when controlling for gender, age, and relationship length, and no partner effects emerged in any analysis. These findings further elucidate the relationship-enhancing role of mindfulness in couples and highlight PPR as a critical mediator explaining the link between domain-specific mindfulness and relationship quality. Implications for mindfulness-based training programs for couples are discussed.
NB-IoT and LTE-M towards massive MTC: Complete performance evaluation for 5G mMTC

Since the emerging 5G wireless network is expected to significantly revolutionize thefield of communication, its standardization and design should regard the internet ofthings (IoT) among the main orientations. Also, emerging IoT applications introducenew requirements other than throughput to support massive machine-type commu-nication (mMTC) where small data packets are occasionally sent. Therefore, moreimportance is attached to coverage, latency, power consumption, and connection den-sity. For this purpose, the third generation partnership project (3GPP) has introducedtwo novel cellular IoT technologies supporting mMTC, known as NB-IoT and LTE-M. This paper aims to determine the system configuration and deployment required forNB-IoT and LTE-M technologies to fully meet the 5G mMTC requirements in termsof coverage, throughput, latency, battery life, and connection density. An overview ofthese technologies and their design principles is also described. A complete evalua-tion of NB-IoT and LTE-M performance against 5G mMTC requirements is presented,and it is shown that these requirements can be met but only under certain conditionsregarding system configuration and deployment. This is followed by a performancecomparative analysis, which is mainly conducted to determine the limits and suitableuse cases of each technology.
The Role of Public-Private Partnerships in Housing as a Potential Contributor to Sustainable Cities and Communities: A Systematic Review

Today cities face the increasing negative consequences of the unsustainable course society is set on. Climate change, biodiversity loss and increasing spatial segregation are testament to this. The effects of these issues often exceed the coping capacity of individual urban housing developers. Thus, an antidote to the current neoliberal trend must be found in collaborations such as public-private partnerships (PPP). Here the shortcomings and limitations of PPP and its potential ability to solve the problem of unsustainable urban development are investigated. Using the Doughnut Economics (DE) model as a general guide, a systematic literature review is conducted. The results reveal evidence that PPPs are unjust and exclude local actors from collaborations. Hence, resident participation and inclusion is considered the best strategy for PPP to evolve as a future guarantor of the sustainable city. First, however, major differences in the character of issues that connect the global model of sustainability to the harsh reality of the local context need to be addressed. This gap concerns the city’s social foundation and ecological ceiling. The DE model applied herein is an excellent tool to test the scope and depth of local collaborations such as PPPs and reflect on international treaties such as SDGs.
Fixed-Time Synchronization of Delayed Memristive Neural Networks with Discontinuous Activations

In this paper, the fixed-time synchronization problem for a class of memristive neural networks with discontinuous neuron activation functions and mixed time-varying delays is investigated. With the help of the fixed-time stability theory, under the framework of Filippov solution and differential inclusion theory, several new and useful sufficient criteria for fixed-time synchronization are obtained by designing two types of energy-saving and simple controllers for the considered systems. Compared with the traditional fixed-time synchronization controller, the controllers used in this paper only have one power exponent term, which is a function of the system state error rather than a constant. Moreover, some previous relevant works are especially improved. Finally, two numerical examples are given to show the correctness and the effectiveness of the obtained theoretical results.
Effects of Sunlight Exposure on the Quality Parameters of Bottled Water

This study was conducted to determine the physicochemical, heavy metal and microbiological effect of sunlight exposure on bottled water quality. Nine brands of bottled water commonly produced and sold in Benin City were exposed to sunlight for 0 day, 14 days and 28 days and evaluated for physicochemical parameters (pH, EC, TDS, alkalinity, hardness, Ca 2+ , Mg 2+ , Na + , K + , Cl - ), heavy metals levels (Pb, Cd, Zn, As) and microbial content using standard methods. Results obtained showed that 96.30% of the pH values were below the WHO (6.5-8.5), SON (6.5-8.5) and NIS (7.5) standards, a gradual decline in the values was also observed with increasing sunlight exposure. Other physicochemical parameters were within the established standards with steady increments in the values with increasing sunlight exposure, except for alkalinity which declined consistently due to increase in the acidity levels of the water samples. There was a general increase in the Zn concentration for all bottled water brands from 0 day to 28 days, except for brand C which remained the same, while Pb, Cd, As level were not detected. Interestingly, a gradual decrease of the microbial population (total coliform) of the bottled water with increasing exposure to sunlight was observed. In all, the varying exposure to sunlight did not result in statistical significant changes (P< 0.05) in the water quality.
Large Banks, Market-based Banking, and the Financialisation of Danish Mortgage Markets

ABSTRACT This paper puts forward three arguments; firstly, the origions of Danish market-based banking can be traced to the shift by a small group of large commercial banks into the mortgage lending business. Secondly, the Danish case demonstrates the centrality of housing and the politics of mortgage market liberalisation to the rise of market-based banking. And finally, that national diversity in the form of market-based banking mattered for Danish financial stability. Historically, the Danish mortgage model was characterised by cooperative mortgage associations focused on the provision of stable equitable access to housing finance. However, as we shall see, the 1986 financial crisis marked a turning point for Danish finance, and from that point on, a small group of the large commercial bank became increasingly influential. The empirical sections outline three stages to the transformation of Danish finance. In the 1980s, a financial crisis led to the creation of a new type of large commercial bank. In the 1990s, the large banks diversified into the mortgage business crowding out the traditional mortgage banks. Finally, in the 2000s, the large banks provide credit for a massive housing bubble through new forms of market-based banking.
Modeling First Year Stop Out of Kalamazoo Promise Scholars: Mapping Influences of Socioeconomic Advantage and Pre-College Performance to College Performance and Persistence

The Kalamazoo Promise (KPromise) is amongst the most well-known and generous tuition-free policies. This study advances the understanding of Promise student performance and persistence. We used a weighted-least square means and variance adjusted (WLSMV) SEM approach and k-nearest neighbors (k-NN) to deal with missing data. The main model suggested first-year college GPA (β = –.48) possessed the strongest effect on a first-year stop out followed by socioeconomic advantage (β = –.26), high school performance (β = –.25), immediate enrollment (β = –.22), and KPromise funding (β =.06). Model differences from 06–10 and 11–15 cohorts, illustrate that in the later cohorts socioeconomic advantage’s effect on a first-year stop out lessened.
Institutional betrayal and sexual harassment in STEM institutions: evidence from science and technology universities of Ethiopia

ABSTRACT In this paper, we examine the experiences of female students and academics to understand the factors that underpin the persistence of sexual harassment in science, technology, engineering and mathematics (STEM) institutions. We draw on data from interviews and focus group discussions with female students and academics who participated in a study that focuses on gender inequality in science and technology universities in Ethiopia. Drawing on the concept of institutional betrayal, we argue that the high prevalence of sexual harassment in these universities is perpetuated by institutional actions and inactions through which universities fail to proactively prevent and effectively respond to sexual harassment. We suggest efforts to tackle sexual harassment need to focus on proactive and preventive measures that involve revisiting institutional policies and structures. We further suggest that grievance procedures need to be accessible, responsive, trustworthy and supportive.