Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis techniques for folded plate roofs and cellular bridges general review and comparisons

Folded plates have attracted profound interest in recent years because of their economic advantages and architectural appearance. In particular, their basic structural response is indeed logical enough, explicit and simple although its required numerical computation procedure is, in a little bit, boring. This type of structures have gained increasing popularity and offers more advantages than more complex structures, such as cylindrical shells, arches and right folded plate frames. Similarly, the thin-walled cellular bridge decks can be treated as a multi-folded plates structure. This study produces an overall review of the historical development of the most popular methods utilized for analysis the folded plate structures which are offered with their applications and how these methods are developed gradually. Four common methods are chosen in this paper to show their highlights of references particularizing in analysis of the above mentioned types of structure; the folded plate elasticity method (FPEM), finite element method (FEM), finite strip method (FSM) and spline finite strip method (SFSM). This investigation covers the elastic behavior, and the experimental researches on the elastic reaction of folded plate structures.
Multiobjective Differential Evolution Algorithm for Solving Robotic Cell Scheduling Problem With Batch-Processing Machines

Robotic cell scheduling problem with batch-processing machines (RCSP-BMs) needs to determine the processing sequence and the transferring sequence simultaneously. The buffer size before and after the batch-processing machines has a big influence on the scheduling solution. A big amount of energy is always consumed by batch-processing machines. Hybrid flow shop scheduling has been proven NP-hard, and the features of the batch-processing machines in a flow shop make the hybrid flow shop scheduling more difficult. This study proposes a multiobjective differential evolution (DE) algorithm to address these issues. First, a mathematical optimization model is formulated for the RCSP-BMs to minimize makespan and energy consumption of the batch-processing machines. Second, the multiobjective DE algorithm (MODE) is developed. A green scheduling algorithm is designed to decode the individuals to balance the makespan and energy consumption. A local search method is also presented to help the searching escape from the local optimum. Finally, experiments are carried out, and the results show that the MODE can solve the robotic cell scheduling problem with batch-processing machines effectively and efficiently. Note to Practitioners—This study focuses on the robotic cell scheduling problem with batch-processing machines (RCSP-BMs) and discusses the influence of the buffer sizes and different batching methods on scheduling. In this study, we propose a green scheduling algorithm and a multiobjective differential evolution algorithm to optimize the makespan and the energy consumption of the batch-processing machines simultaneously. In future research, we will address more complicated situations, such as many-objective optimization and many-robot scheduling.
The Influence of Driving Parameters on Conducted EMI for an IGBT Module

Insulated gate bipolar transistor (IGBT) has been widely used in the voltage-source-converter-based high-voltage direct current (VSC-HVDC). However, the electromagnetic interference (EMI) generated by its fast switching process affects the normal operation of the surrounding power equipment. The switching voltage and current of IGBT are the main sources of EMI. Different driving circuit parameters result in different IGBT switching characteristics. In this article, the switching model of IGBT is introduced first and the influence of driving parameters on EMI sources is analyzed. Based on the conducted EMI experiment platform of an IGBT module, the time-domain waveforms of switching voltage and current under different driving parameters are obtained and compared with the model. Then the interference voltage spectrums are measured by an EMI receiver under different driving parameters. The influence of driving parameters on conducted EMI in 0.15–30 MHz is then analyzed and explained by combining the result of time domain and frequency domain. This article comprehensively analyzes the relationship between driving parameters and EMI sources and summarizes the influence characteristics of driving parameters on common-mode (CM) and differential-mode (DM) noise. The conclusions can help the parameters design of driving board, which can effectively reduce the conducted EMI of the converter.
The Global Prevalence Of Early Childhood Caries: A Systematic Review with Meta-analysis Using the WHO Diagnostic Criteria.

AIM To estimate the global prevalence of early childhood caries using the WHO criteria. DESIGN Systematic review of studies published from 1960 to 2019. DATA SOURCES PubMed, Google Scholar, SciELO and LILACS. Eligibility criteria were articles using: dmft-WHO diagnostic criteria with calibrated examiners, probability sampling, and sample sizes. STUDY SELECTION Two reviewers searched, screened and extracted information from the selected articles. All pooled analyses were based on random-effects models. Registration: Prospero-CRD42014009578. RESULTS From 472 reports, 214 used WHO-criteria and 125 fitted the inclusion criteria. Sixty-four reports of 67 countries (published 1992-2019) had adequate data to be summarised in the meta-analysis. They covered 29 countries/59018 children. Global random-effects pooled-prevalence was (percentage[95% CI]) 48[43, 53]. Prevalence by continent was Africa 30[19; 45], Americas 48 [42; 54], Asia 52[43; 61], Europe 43[24; 66], and Oceania 82[73; 89]. Differences across countries explain 21.2% of the observed variance. CONCLUSIONS Early childhood caries is a global health problem, affecting almost half of preschool children. LIMITATIONS Results are reported from 29/195 countries. Implications of key findings: ECC prevalence varied widely, and there was more variance attributable to between-country differences rather than continent or change over time.
Knowledge gaps among smallholder farmers hinder adoption of conservation biological control

ABSTRACT Conservation biological control uses habitat management to enhance the survival and impact of arthropod natural enemies for pest control. Its advantages are that it relies on native or established invertebrate populations that are adapted to local agricultural ecosystems and conditions. We surveyed 300 farmers in three agro-ecological zones of Kilimanjaro Region, Tanzania to assess farmers’ knowledge of natural enemies, insect pests and pesticide use and ways of accessing agricultural information to identify hurdles to the adoption of conservation biological control measures. Data were collected through face to face interviews using questionnaires and pictures and by using a novel voice-response mobile phone survey. The farmers surveyed regarded almost all insects as pests, with data analyses revealing that 98.7% of farmers were completely unaware of natural enemies. After completing a short training course, however, awareness was transformed, with 80% of farmers recognising beneficial insects and expressing an intention to change farming practices to enhance their survival within the crop. Access to information about synthetic pesticide alternatives was a limiting factor to uptake of biological control measures with 8.7% of farmers reporting no access to agricultural information, while others were mostly dependent on agricultural officers. These findings identified a severe lack of knowledge among smallholder farmers about beneficial insects which will impact adoption of conservation biological control. We recommend improved access to information and knowledge among the technical officers and the smallholder farmers with direct training on agro-ecological intensification for wider adoption of conservation biological control.
The Effect of Financial Crises on Growth and FDI in some African Countries: A Panel VECM Approach

: This study investigates the effects of financial crises on economic growth and foreign direct investment in some African countries. A panel vector error correction model is used for the analysis of annual time series data for the period 1994 to 2014. From economic growth model, in the long run, it is observed that gross domestic product per capita is positively influenced by investment, trade and foreign direct investment; with investment and trade being statistically significant. Gross domestic product per capita has a negative significant relationship with real effective exchange rate. On the other hand, in the long run, the investment model shows that investment has a significant positive relationship with both gross domestic product per capita and investment; while it has a negative significant relationship with real effective exchange rate and trade. Also observed from the results is that financial crisis has a negative relationship with both economic growth and foreign direct investment. This study recommends more openness of the economy so as to promote both economic growth and inflow of foreign direct investment in countries. It also recommends the need to encourage more gross fixed capital formation in order to promote both economic growth and foreign direct investment.
Visual Servoing of a Flexible Aerial Refueling Boom With an Eye-in-Hand Camera

This article proposes a novel image-based visual servoing for a flexible aerial refueling boom with an eye-in-hand camera. The dynamic model of the flexible refueling boom is established by absolute nodal coordinate formulation (ANCF), after which the dynamic model is decomposed into a slow subsystem and a fast subsystem based on the singular perturbation approach. With respect to slow subsystem, the image feedback is used to control the flexible refueling boom so that the projection of the point marker on the back of the receiver converges to the desired position. With respect to fast subsystem, linear quadratic regulator (LQR) is applied to stabilize the vibration of the flexible refueling boom. The asymptotic convergence of the image error to zero is verified based on the Lyapunov theory. Simulation is used to demonstrate the effectiveness of the proposed method.
Inmigración, elecciones y comportamiento político

Tanto en la Union Europea como, de manera especial, en Espana, 2019 ha sido un ano electoral. En su curso, la sociedad espanola ha participado en los cuatro tipos de elecciones existentes: generales, por partida doble, autonomicas, municipales y europeas. Desde el punto de vista de la inmigracion, el resultado mas destacado ha sido la irrupcion del partido de derecha radical VOX, iniciada en las elecciones autonomicas de Andalucia de diciembre de 2018 y reafirmada con fuerza en las repetidas generales de noviembre de 2019. En consecuencia, Espana ha dejado de ser una de las escasas excepciones que a estos efectos habia en Europa. Con la llegada a las instituciones de este partido, los mensajes hostiles a la inmigracion han empezado a circular en la arena politica espanola, aunque aun con menor fuerza e influencia que en otros paises europeos.
Use-wear experimental studies for differentiating flint tools processing bamboo from wood

Bamboo is widespread in south China and is one of the major organic resources in daily use through history due to its similar potential use value as wood. Due to the unfavourable preservation conditions and taphonomic alteration, the rare discovery of well-preserved organic remains from Palaeolithic sites means there is a lack of direct studies on the technology and behaviour of early prehistoric humans. Use-wear analysis has been proved as a reliable method to detect evidence left by working wood and bamboo on stone artefacts. This study aims to provide an experimental reference of use-wear features and patterns to identify and interpret the exploration of bamboo and wood resources in prehistory. In this experiment, 12 flint flakes were selected for processing bamboo stems and pine branches with working motions of whittling, sawing, and chopping. The results show that the use-wear features, including edge scarring, edge rounding, and polish, of bamboo-working and wood-working are distinctive. Edge scarring is closely related to the working motion, and moderate bright to very bright polish is a significant feature associated with bamboo-working. It is possible to distinguish wear traces caused by bamboo-working from those by wood-processing through a combination of low-power and high-power techniques under a 3D digital microscope. IZVLE∞EK – Bambus je ∏iroko raz∏irjen na jugu Kitajske in je eden od poglavitnih organskih virov, ki je podobno kot les v dnevni rabi skozi celotno zgodovino. Zaradi neugodnih pogojev v depoziciji in tafonomskih sprememb so dobro ohranjeni organski ostanki na paleolitskih najdi∏≠ih redki, kar pomeni, da imamo na voljo malo neposrednih ∏tudij o tehnologiji in obna∏anju zgodnjih ljudi. Analiza sledov uporabe na kamnitih orodjih se je izkazala za zanesljivo metodo pri prepoznavanju dokazov o obdelavi lesa in bambusa. V pri≠ujo≠i ∏tudiji predstavljamo referen≠ne podatke, pridobljene s poskusi, o zna≠ilnih sledovih in vzorcih uporabe na orodjih, da bi lahko prepoznali in razlagali uporabo bambusa in lesa kot vira surovin v prazgodovini. Pri poskusu smo izbrali 12 kamnitih odbitkov za obdelavo bambusovih debla in vej, pri ≠emer smo orodje uporabljali za rezanje, ∫aganje in sekanje. Rezultati ka∫ejo, da lahko jasno razlo≠imo sledove uporabe, ki vklju≠ujejo po∏kodbe na robu, nastanek zaobljenega roba in poliranje povr∏ine, pri delu z bambusom, od tistih, nastalih pri delu z lesom. Po∏kodbe na robu orodij so tesno povezane z delovnimi gibi, medtem ko lahko srednje do zelo svetla polirana obmo≠ja povezujemo z obdelavo bambusa. Ugotavljamo, da lahko na podlagi kombinacije razli≠nih tehnik, ki jih opazujemo pod 3D digitalnim mikroskopom, jasno razlo≠imo, ali je bilo kamnito orodje uporabljeno pri delu s bambusom ali lesom.
The promise of next-generation taxonomy

Documenting, naming and classifying the diversity of life on Earth provides baseline information on the biosphere, which is crucially important to understand and mitigate the global changes of the Anthropocene. We should meet three main challenges, using new technological developments without throwing the well-tried and successful foundations of Linnaean nomenclature overboard. 1. Fully embrace cybertaxonomy, machine learning and DNA taxonomy to ease, not burden the workflow of taxonomists. 2. Emphasize diagnosis over description, images over words. 3. Understand promises and pitfalls of omics approaches to avoid taxonomic inflation.
Data mining Twitter for cancer, diabetes, and asthma insights

Chulis, Kimberly Ph.D., Purdue University, August 2016. Data Mining Twitter for Cancer, Diabetes, and Asthma Insights. Major Professor: Dr. Richard Feinberg Twitter may be a data resource to support healthcare research. Literature is still limited related to the potential of Twitter data as it relates to healthcare. The purpose of this study was to contrast the processes by which a large collection of unstructured disease-related tweets could be converted into structured data to be further analyzed. This was done with the objective of gaining insights into the content and behavioral patterns associated with disease-specific communications on Twitter. Twelve months of Twitter data related to cancer, diabetes, and asthma were collected to form a baseline dataset containing over 34 million tweets. As Twitter data in its raw form would have been difficult to manage, three separate data reduction methods were contrasted to identify a method to generate analysis files, maximizing classification precision and data retention. Each of the disease files were then run through a CHAID (chi-square automatic interaction detector) analysis to demonstrate how user behavior insights vary by disease. Chi-square Automatic Interaction Detector (CHAID) was a technique created by Gordon V. Kass in 1980. CHAID is a tool used to discover the relationship between variables. This study followed the standard CRISP-DM data mining approach and demonstrates how the practice of mining Twitter data fits into this six-stage iterative framework. The study produced
Pangolin homology associated with 2019-nCoV

To explore potential intermediate host of a novel coronavirus is vital to rapidly control continuous COVID-19 spread. We found genomic and evolutionary evidences of the occurrence of 2019-nCoV-like coronavirus (named as Pangolin-CoV) from dead Malayan Pangolins. Pangolin-CoV is 91.02% and 90.55% identical at the whole genome level to 2019-nCoV and BatCoV RaTG13, respectively. Pangolin-CoV is the lowest common ancestor of 2019-nCoV and RaTG13. The S1 protein of Pangolin-CoV is much more closely related to 2019-nCoV than RaTG13. Five key amino-acid residues involved in the interaction with human ACE2 are completely consistent between Pangolin-CoV and 2019-nCoV but four amino-acid mutations occur in RaTG13. It indicates Pangolin-CoV has similar pathogenic potential to 2019-nCoV, and would be helpful to trace the origin and probable intermediate host of 2019-nCoV.
Effect of exercise in patients with diabetic kidney disease

Background/Aims: Chronic kidney disease (CKD) is an important epidemic and public health problem, which occurs in many countries with an increasing prevalence. Over 50 million people throughout the world are known to have CKD and of these, more than 1 million require renal replacement therapies such as dialysis and renal transplantation. In recent years, the rising incidence of diabetes and hypertension, the two most common causes of CKD, have caused an increase in the prevalence of CKD, being responsible for over 70% of all cases of CKD. The current study was conducted to detect the effect of aerobic exercise versus resistance exercise in patients suffering from diabetic kidney disease (DKD). Methods: Thirty patients with DKD, ranging from 18–46 years old, were included in this study from the Department of Internal medicine, Cairo University Hospitals. Subjects were divided randomly into two equal groups. Group 1 received aerobic exercises, and group 2 received resistance exercises for 3 months. All part.
Late Breaking Abstract - Balloon pulmonary angioplasty versus riociguat for the treatment of inoperable chronic thromboembolic pulmonary hypertension: results from the randomised controlled RACE study

Background: Medical therapy with riociguat and balloon pulmonary angioplasty (BPA) are two therapeutic options for inoperable chronic thromboembolic pulmonary hypertension (CTEPH). Controlled studies comparing these two treatments are lacking. Methods: The multicenter, randomised, controlled RACE trial evaluated the efficacy and safety of riociguat versus BPA in newly diagnosed and treatment-naive patients with CTEPH adjudicated as inoperable. Patients identified as WHO functional class (FC) I-IV with a pulmonary vascular resistance (PVR) >320 dyn.s/cm5 were randomly assigned, in a 1:1 ratio, to receive a treatment with riociguat or BPA. The primary endpoint was resting PVR at week 26, expressed as percentage of PVR at baseline. Secondary endpoints included changes from baseline in 6-min walk distance (6MWD), WHO FC, NT-proBNP, time to clinical worsening, and safety. Results: Between January 2016 and January 2019, 105 patients were randomised in 14 centers belonging to the French Pulmonary Hypertension Network: 53 to riociguat, 52 to BPA. Baseline characteristics are depicted in the table. The full study results will be available in June 2019. Conclusion: RACE study will provide important informations on the effect of riociguat compared to that of BPA as first-line therapy in treatment-naive patients with inoperable CTEPH.
Improving multi-site autism classification based on site-dependence minimisation and second-order functional connectivity

Autism spectrum disorder (ASD) has no objective diagnosis method despite having a high prevalence. Machine learning has been widely used to develop classification models for ASD using neuroimaging data. Recently, studies have shifted towards using large multi-site neuroimaging datasets to boost the clinical applicability and statistical power of results. However, the classification performance is hindered by the heterogeneous nature of agglomerative datasets. In this paper, we propose new methods for multi-site autism classification using the Autism Brain Imaging Data Exchange (ABIDE) dataset. We firstly propose a new second-order measure of functional connectivity (FC) named as Tangent Pearson embedding to extract better features for classification. Then we assess the statistical dependence between acquisition sites and FC features, and apply a domain adaptation approach to minimise the site dependence of FC features to improve classification. Our analysis shows that 1) statistical dependence between site and FC features is statistically significant at the 5% level, and 2) extracting second-order features from neuroimaging data and minimising their site dependence can improve over state-of-the-art classification results on the ABIDE dataset, achieving a classification accuracy of 73%.