Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence and Correlates of Overweight, Obesity and Physical Activity in Italian Children and Adolescents from Lombardy, Italy

Investigating pediatric overweight and physical activity correlates is essential to design effective preventive programs. We used regional data (Lombardy, northern Italy) from the 2019 survey “OKKio alla Salute” (3093 children aged 8–9 years with measured anthropometric data), and from the 2018 wave of the “Health Behaviour in School-aged Children” survey (2916 adolescents aged 11–15 years with self-reported anthropometric data). In both the surveys, a cluster sampling methodology was used. Unconditional multiple logistic regression models were applied to estimate the odds ratios (OR) and corresponding 95% confidence intervals (CI) of overweight, obesity and poor physical activity. The prevalence of overweight (including obesity) was 22.4% for children aged 8–9 years and 14.4% for adolescents aged 11–15 years. A higher prevalence of overweight was observed among males, children with greater birth weight and those with obese parents. Scant physical activity was higher among females and older adolescents. There was a direct relationship between obesity and increased psychological distress (OR = 2.44; 95% CI: 1.12–5.27) or being victims of bullying (OR = 2.25; 95% CI: 1.17–4.34). Increasing physical activity significantly decreased the frequency of mental health outcomes. Prevention campaigns should be promoted to safeguard childhood physical and psychological wellbeing.
Embedding Religious Characters in Elementary School Through E-Learning Materials

Technological advances make it easy for teachers to build and design teaching materials with character values such as religious values. Creative teachers can use various multimedia technologies to present teaching materials that can transfer character values in every communication process, attitude and behaviour during online learning activities. This study aims to determine the extent to which religious characteristics are instilled in elementary schools through e-learning teaching materials. The design in this study is descriptive qualitative research. The research data was taken from observation and interviews. The participants involved were Religious teachers and students at the Pungging District Elementary School. The results showed that religious character values in electronic teaching materials presented by Religious teachers were seen in classroom activities such as praying, praying dhuha and memorizing juz amma. In addition, the interaction communication built by the teachers has made it easier for students to understand the religious values of each teaching material being taught. While the level of creativity of the teachers from the teaching materials used can be seen in the use of multimedia technology. The results of the study have implications for Religious teachers' understanding of the design of teaching materials by utilizing multimedia technology that can contain character values, with an attractive appearance and increase interest in learning
Study on Active Defense of Honeypot-Based Industrial Control Network

With the rapid development of information, network security and information have played an increasingly important role in national production. As a result, the environment and application of industrial control networks are under more and more network security threats. Furthermore, most applications of industrial control networks belong to critical infrastructure, so to guarantee the security of industrial control networks has become more significant, and the defense of it is one of the essential issues in need of being solved. This paper focuses on studying the active protection for the security of industrial control networks and discusses the role of honeypot in the network security for the defense strategy of the industrial control network. Firstly, this paper introduces the theoretical knowledge of honeypots. Secondly, it analyzes the existing problems and development prospects of the honeypot. And finally, under the background of the industrial control network, it designs the SSH honeypot based on Transmission Control Protocol/Internet Protocol (TCP/TP), which is divided into two modules, including SSH information collection and alarm. This system can deploy based on the Docker of Linux. Through simulation practice, it proves that honeypot can effectively capture the attackers’ attack and make an early warning to improve network security.
The Reclamation of Self: Kinship and Identity in Transnational Colombian Adoptee First Family Reunions

In this qualitative study the researchers interviewed 17 adult transnational Colombian adoptees in reunion with their Colombian first families. Through thematic analysis methodology three themes emerged: (1) first family influences, (2) navigating between families, and (3) identity reclamation. Participants in the study described the impact reunion had on their perceptions of family and their identities. The Competencies for Working with Transracial Adoptees and the Transracial Adoption Kinship Network (TrAKN) served as a framework to discuss implications for adoptees and family counselors.
A Novel Detection Scheme for the Discrete Body of Revolution with Fractional Orbital Angular Momentum Beams

A novel detection scheme with fractional orbital angular momentum (OAM) beams is proposed in this paper, so as to predict the rotational velocity of the discrete body of revolution (DBoR). At first, the echo model of the DBoR is derived under the incidence of integer OAM beams. The theoretical derivation shows that some integer OAM modes may not work for the detection of the DBoR due to the echo cancellation. Then the echo model with fractional OAM modes is also derived. It shows that the echo frequency spectrum with the fractional OAM always includes effective integer OAM modes. Consequently, a novel detection scheme with fractional OAM for the DBoR is proposed. It should be noted that all these theoretical derivations are based on ideal scattering points. Finally, 3D full-wave simulations of a practical DBoR target are conducted with the method of momentum (MoM) and its fast algorithm. Numerical results demonstrate the effectiveness of the proposed detection scheme. It can be used as an efficient tool to analyze the rotation characteristics for DBoR targets.
Visual Sensitivity Aware Rate Adaptation for Video Streaming via Deep Reinforcement Learning

Adaptive bitrate (ABR) technology is widely adopted in video streaming to improve quality of experience (QoE). However, existing methods ignore the inherent characteristic of Human Visual System (HVS), i.e., HVS has different sensitivity to the quality distortion of different video content. Therefore, video contents with high visual sensitivity have higher visual importance and need to be allocated more bitrate resources. In this paper, we propose a novel rate adaptive algorithm by incorporating newly-defined visual sensitivity model. More specifically, a set of relevant features are extracted from video content to establish a deep neural network model that accurately reflects the visual sensitivity. The network state, buffer occupancy and visual sensitivity are comprehensively considered under deep reinforcement learning framework to select appropriate bitrate for maximizing QoE. Experimental results show that the proposed algorithm can generate an ABR strategy consistent with visual sensitivity, and improves the perceptual video quality and user QoE by 14.2% and 16.3%, respectively.
Propagation of saffron (Crocus sativus L.) through tissue culture: a review

ABSTRACT Saffron (Crocus sativus L.) is the most expensive spice in the world. This plant species is propagated vegetatively through the formation of daughter corms from the mother one. Unfortunately, many factors hamper the efficient propagation of saffron through this traditional practice. For example, the low production rate of daughter corms and the risk of fungal infection, which also affect the daughter corm quality. Therefore, the conventional propagation method cannot meet the demand for planting material. The use of biotechnological tools, particularly the in vitro culture techniques, can be of great benefit for saffron propagation. Hence, in recent years, various regeneration systems through somatic embryogenesis and organogenesis were established for saffron using different explant types, medium components, plant growth regulators (PGRs), and culture conditions. In the present review, the most relevant advances and main achievements made in saffron micropropagation are reported, and the major bottlenecks encountered during in vitro culture of this species and that restrict the commercial production of saffron corms and plantlets are discussed.
INDOOR MAPPING: EXPERIENCES WITH LIDAR SLAM

Abstract. Indoor mapping is gaining more interest in both research as well as in emerging applications. Building information systems (BIM) and indoor navigation are probably the driving force behind this trend. For accurate mapping, the platform trajectory reconstruction, or in other words sensor orientation, is essential to reduce or even eliminate for extensive ground control. Simultaneous localization and mapping (SLAM) is the computation problem of how to simultaneously estimate the platform/sensor trajectory while reconstructing the object space; usually, a real-time operation is assumed. Here we investigate the performance of two LiDAR SLAM tools based on using indoor data, acquired by a remotely controlled robot sensor platform. All comparisons were performed on similar datasets using appropriate metrics and encouraging results were obtained as a consequence of initial test studies yet further research is needed to analyse these tools and their accuracy comprehensively.
The Role of Side Chains in the Fine-Tuning of the Metal-Binding Ability of Multihistidine Peptides

The systematic studies of copper(II), nickel(II) and zinc(II) ion complexes of protected multihistidine peptides containing amino acids with different side chains (Ac-SarHAH-NH2, Ac-HADH-NH2, Ac-HDAH-NH2, Ac-HXHYH-NH2 X, Y = A, F, D or K, Ac-HXHAHXH-NH2, X = F or D) have provided information about the metal ion and protein interaction and have made it possible to draw conclusions regarding general trends in the coordination of metal complexes of multihistidine peptides. The stability of the metal complexes significantly depends on the position of the histidines and amino acids, which are present in the neighbourhood of the histidine amino acids as well. The most significant effect was observed on peptides containing aspartic acid or phenylalanine. The redox parameters of complexes, however, depend on the number and position of histidines, and the other side chain donor atoms have practically no effect on the electrochemical properties of imidazole-coordinated species. However, the presence of aspartic acid side chains results in a more distorted geometry of amide-coordinated species and increases the reducibility of these complexes.
Expanding educational opportunities or widening learning inequalities? Evidence from national reform of pre-primary education in Ethiopia

ABSTRACT Since a nationwide reform of pre-primary education in 2010, Ethiopia has experienced a massive expansion of pre-primary enrolment that increased tenfold in six years. Our paper aims to assess the distribution of early literacy outcomes between children who attended preschool and those who did not and explore how that distribution has changed throughout the reform and by factors such as gender, location, and parental literacy. We find an overall increase in the achievement gaps associated with pre-primary participation between 2010 and 2016. There are also differential patterns in the learning gaps over the reform, with a particular disadvantage for rural students and a relative advantage for students with parents who are not literate. This study suggests that understanding a fuller picture of learning inequality is critical to designing policy to leave no one behind aligned with the UN Sustainable Development Goals.
Over-Reporting of Somatic and Psychiatric PTSD Symptoms Among People Who Experienced Motor Vehicle Accidents and Did Not Seek Psychiatric Help in a Primary Care Setting

Background Over-reporting of posttraumatic stress disorder (PTSD) symptoms has been observed in some cases, following a motor vehicle accident (MVA). It has been suggested, however, that these are cases of underdiagnoses in primary care settings. The current study focused on people with PTSD in primary care settings who experienced an MVA and do not seek psychiatric help. Methods In the over 3000 patient registry of a primary care clinic, 174 people who experienced an MVA (PE-MVA) were identified. The final sample included 45 PE-MVA, who were administered the Clinician-Administered Posttraumatic Stress Disorder Scale (CAPS-2), and completed the Injury Severity Scale (ISS) and the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) content scales. Results PE-MVA with PTSD reported more psychopathology on both MMPI-2 and CAPS-2 than those without PTSD. Severity of injury, measured by the ISS, did not differ significantly between the two PE-MVA groups. The significant differences between the PE-MVA with PTSD and those without PTSD disappeared after adjusting for the covariates of bias scales [Infrequency (F) and Fake Bad (FBS)] in MMPI-2, but not in CAPS-2. Conclusion The results suggest that in primary care settings, PE-MVA with PTSD who do not seek psychiatric help, over-report psychiatric and somatic symptoms. In a personal injury setting the F scale of the MMPI-2 showed less sensitivity to exaggerated somatic symptoms than the FBS scale. Bias scales of PE-MVA with PTSD are major contributors to the elevation of the MMPI-2 scores but not the CAPS-2 score.
An SMPS-Based Lithium-Ion Battery Test System for Internal Resistance Measurement

A switching mode power supply (SMPS)-based lithium-ion (Li-ion) battery test system (BTS) is proposed to meet the increasing demands of tests in battery research. To improve the flexibility, while building the BTS with low cost and high reliability, an SMPS is employed as a charger/discharger, combined with a digital-to-analog hybrid control system to regulate its output voltage and current. Based on the BTS, two dc internal resistance (DCIR) measurement methods are designed, and a battery state classification method based on the DCIR cluster analysis with similarity as the judgment basis is proposed. An experimental prototype is developed to verify the feasibility of the proposed BTS and methods. The results show that the BTS possesses excellent voltage and current regulation capabilities for charging, discharging, and grid energy recovery. The internal parameter extraction method enables obtaining DCIR and other parameters with high accuracy. The online measurement method allows automatic acquisition of real-time DCIR and its variation trend without affecting the charging, which greatly improves the measurement efficiency. The proposed hierarchical clustering method based on DCIR effectively achieves the classification of battery states with excellent practicality and robustness.
Expérimentation et modélisation de structures en sol renforcé par un géotextile tridimensionnel alvéolaire

Depuis maintenant plus de vingt ans, l’utilisation de materiaux synthetiques ou naturels pour le renforcement de massifs de sol s’est banalise. Cependant l’emploi d’un geotextile tridimensionnel alveolaire souple n’avait pas fait l’objet d’etudes particulieres pour determiner le potentiel du produit. La demarche a consiste a etudier par un programme experimental exhaustif le comportement local de ce nouveau concept de soutenement. Cette etude permet de mieux comprendre le fonctionnement du phenomene de confinement, qui peut etre assimile a une cohesion apparente, et met en evidence l’anisotropie du comportement du complexe. Les differents modeles locaux developpes sont introduits dans des modeles theoriques permettant ainsi de proposer une methode de dimensionnement. Ces modeles prennent en compte l’heterogeneite du comportement des materiaux et la geometrie complexe des ouvrages. Ceux-ci sont finalement valides sur des ouvrages reels.
Alcohol use disorders among psychiatric patients treated at an university hospital in Ethiopia Zaburzenia związane z używaniem alkoholu wśród pacjentów psychiatrycznych przebywających na leczeniu w szpitalu uniwersyteckim w Etiopii

Introduction: There is a high incidence of alcohol use disorders (AUD) among patients with mental disorders. This study aimed to assess the rate of alcohol use disorders among psychiatric patients undergoing treatment at the University of Gondar Specialized Hospital in the North West Ethiopia. Material and methods: A hospital-based cross-sectional study was conducted from December 01, 2017 to February 28, 2018. A 10-item screening tool called the Alcohol Use Disorders than 30% (63, 31.5%) experienced harmful alcohol use. Binary logistic regression analysis indicated that for each month increase in the duration of the disease, the rate of AUD increases by more than 1.5 times with AOR: 1.577 (1.296-1.663). Discussion: The study findings revealed that risky alcohol consumption was high among patients with mental health disorders. It was also noted that the prevalence of alcohol use disorder was varied among different psychiatric conditions. Schizophrenia and bipolar affective disorder patients experienced a very large burden of AUD as compared to patient with other mental conditions. However, the small sample size and this sin-gle-centre study with its short duration might limit the findings in terms of their reliability (reproduc-ibility) and generalisation. Conclusions: The prevalence of AUD was high among psychiatric patients in the study setting of North West Ethiopia. The long duration of the mental illness may expose patients to high alcohol consumption risk. Prevention of further consumption and rehabilitation of victims is required to counter disease progression and relapses.
Smallmouth Bass (Micropterus dolomieu) population characteristics and an evaluation of management responses in two West Virginia watersheds

Smallmouth Bass (Micropterus dolomieu) population characteristics were examined within the Tygart and Cheat River watersheds of north-central West Virginia. Growth, mortality and recruitment were examined for each individual population prior to modeling potential effects of various management schemes. Smallmouth Bass were sampled for total length and weight, aged using sagittal otoliths and sexed through observations of gonadal or ovarian development. Growth for each population was examined using von Bertalanffy growth models and assessed for variation among populations. Population demographic characteristics differed between and among populations, most noticeably between riverine and lacustrine habitat, whereby growth, mortality and recruitment were higher in lacustrine habitats. Comparisons to developed growth standards indicated low growth amongst all populations. While similarities existed between individual von Bertalanffy parameters, each population exhibited differences in growth when testing for all three von Bertalanffy parameters. Age and length at sexual maturity differed between populations with lacustrine populations maturing at an earlier age than riverine populations. The mortality rate of Tygart Lake Smallmouth Bass exceeded that of the other study populations. Modeling indicated that growth and recruitment overfishing are not likely to occur within populations until exploitation rates are substantially elevated. In general, the modeled responses to protective slot limits demonstrated little benefit in yield per recruit and spawning potential ratio of populations, whereas modeling of minimum length limits and harvested slot limits yielded more favorable responses. Populations responded best to a minimum length limit of 254 mm for riverine habitat and 305 mm for lacustrine habitat across exploitation rates. Understanding current Smallmouth Bass population demographics in West Virginia waters may inform management strategies with the goal of improving future populations. This study provides valuable baseline information which may be instrumental for the management of Smallmouth Bass populations within the Tygart and Cheat River watersheds with potential to be used as a model for management of Smallmouth Bass populations in other West Virginia watersheds.
Channelisation of Noise through a Rhythmic Grid: Brutalist Mechatronic Sound-sculpture

The aim of this thesis is to provide accessibility and appreciation for sounds that are conventionally perceived as non-musical or “noise”. Ordering the noise on a grid of metric rhythms, and underlining its materiality through an audiovisual mode of expression are the two main strategies employed. Using the medium of mechatronics, mechanically generated sonic by-products of technological developments are chosen as the focus sonic material. As a result, the output of this research extends what is known as glitch music outside the territory of amplified sound, to a realm where noise is created physically and acoustically. Based on these objectives, and following an investigation on the use of mechatronics in contemporary sound-based art, an ensemble of mechatronic sound-sculptures is designed and developed. Varying in terms of material, sound-generating mechanism, and sonic quality, the ensemble is divided into three different instrument-types, each of which is introduced, thoroughly described, and sonically evaluated. Next, three new audiovisual works are developed and realised utilising the mechatronic sound-sculptures, in order to turn into practice the ideas explored in this research. These compositions – which are all exhibited in competitive international symposiums – undertake the integration of mechatronics in three areas of sonic arts that are interconnected with the sound-sculptures. Furthermore, this thesis also establishes an aesthetic framework that formalises a significant body of contemporary sound art and music that, prior to this work, had suffered academic inattention. Probing the various parallels between the ideas developed in this thesis and Brutalist architecture, ‘sound-based brutalism’ is coined and formulated as an aesthetic underpinning for not only the academically marginalised works discussed, but also the work of the author. Lastly, two audiovisual projects (a performance and a series of ten installation pieces) are developed using the entire mechatronic sound-sculpture series in an effort to realise ‘sound-based brutalism’.