Miracle-dz/UniFAR-FTUs huggingface dataset:
EXPERIMENTAL PROCEDURE AND ELASTIC RESPONSE CHARACTERISTICS OF SHAKING TABLE TEST

A shaking table test on a full-scale steel building was conducted at the E-Defense to evaluate structural and functional performance of the building under design-level ground motions and the safety margin against collapse under exceedingly large ground motions. The specimen is a 4-story moment resisting frame designed and constructed according to the current Japanese code. This paper presents the outline of the experimental plan including the design of a specimen and shaking table test results under elastic range. The elastic response characteristics regarding stiffness, restoring force and damping of the specimen are examined comparing with structural design properties.
Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus

Guidelines for the management of patients with diabetes have become an important part of clinical practice that improve the quality of care and help establish evidence-based medicine in this field. With rapidly accumulating evidence on various aspects of diabetes care, including landmark clinical trials of treatment agents and newer technologies, timely updates of the guidelines capture the most current state of the field and present a consensus. As a leading academic society, the Korean Diabetes Association publishes practice guidelines biennially and the American Diabetes Association does so annually. In this review, we summarize the key changes suggested in the most recent guidelines. Some of the important updates include treatment algorithms emphasizing comorbid conditions such as atherosclerotic cardiovascular disease, heart failure, and chronic kidney disease in the selection of anti-diabetic agents; wider application of continuous glucose monitoring (CGM), insulin pump technologies and indices derived from CGM such as time in range; more active screening of subjects at high-risk of diabetes; and more detailed individualization in diabetes care. Although there are both similarities and differences among guidelines and some uncertainty remains, these updates provide a good approach for many clinical practitioners who are battling with diabetes.
Polysaccharides Composite Materials as Carbon Nanoparticles Carrier

Nanotechnology is a dynamically developing field of science, due to the unique physical, chemical and biological properties of nanomaterials. Innovative structures using nanotechnology have found application in diverse fields: in agricultural and food industries, where they improve the quality and safety of food; in medical and biological sciences; cosmetology; and many other areas of our lives. In this article, a particular attention is focused on carbon nanomaterials, especially graphene, as well as carbon nanotubes and carbon quantum dots that have been successfully used in biotechnology, biomedicine and broadly defined environmental applications. Some properties of carbon nanomaterials prevent their direct use. One example is the difficulty in synthesizing graphene-based materials resulting from the tendency of graphene to aggregate. This results in a limitation of their use in certain fields. Therefore, in order to achieve a wider use and better availability of nanoparticles, they are introduced into matrices, most often polysaccharides with a high hydrophilicity. Such composites can compete with synthetic polymers. For this purpose, the carbon-based nanoparticles in polysaccharides matrices were characterized. The paper presents the progress of ground-breaking research in the field of designing innovative carbon-based nanomaterials, and applications of nanotechnology in diverse fields that are currently being developed is of high interest and shows great innovative potential.
The Impact of Education and Training on the Level of Poverty or Social Exclusion in European Countries

Education is said to be the “great equalizer of the conditions of men”. The aim of this paper is to examine the relationship between participation rate in education and training and people at risk of poverty and social exclusion. The source of data, used in the research, is Eurostat. The data represents the 25-64-year-old age group. The analyzed period is 2016-2020. It represents both genders in 34 European countries. Some countries were excluded from the analysis due to the lack of data for some years within the analyzed period. For each variable measures of descriptive statistics (measures of central tendency, measures of variability and measures of asymmetry) were calculated. Then the Pearson correlation of coefficient and coefficient of determination were computed. To assess the significance of the correlation of coefficient, hypothesis testing was performed. The procedure was performed using rejection region method and two-tailed p-vale method. Although, in 2016 and 2017, a strong linear correlation was detected between the participation rate in education and training and people at risk of poverty or social exclusion, its significance is gradually decreasing. Despite this, it should be emphasized that children born in poverty or in socially excluded families have a lower chance of succeeding in education and thus escape from the vicious circle of poverty. Thus, education should still be perceived as an important factor, and the main ‘tool’ to fight against poverty.
Sharing Reputation Data Across Online Communities

Today, people are often members of several online communities, leaving their footprints scattered across cyberspace in the form of local reputations. Collecting these reputation data to build a global reputation becomes increasingly necessary. This article proposes a new perspective on the topic of sharing reputation data across online communities. We discuss the notion of global reputation, propose a taxonomy for reputation data sharing and use it to briefly study the related literature, and identify and discuss some of the key challenges towards reputation data sharing. To encourage future research, we also propose a conceptual model for global personalized reputation management.
Differentially Expressed Long-Term Salinity Responsive Sequences in Halophyte Suaeda maritima (L.) Dumort

Salinity is a major abiotic stress that affects plant growth and productivity. To cope with salt stress, plants express large number of salt responsive genes and proteins that are involved in a wide range of cellular functions. In the present study, halophytic plant Suaeda maritima (L.) Dumort. were hydroponically exposed to NaCl for understanding the molecular mechanisms behind salinity tolerance using PCR-based Suppressive Subtractive Hybridization (SSH). Two cDNA subtraction libraries were constructed between Suaeda maritima X Sesuvium portulacastrum and Suaeda maritima X Salicornia brachiata to identify differentially expressed genes from leaves exposed to 200mM NaCl treatment for 14 days. A total of 224 clones from both libraries were assembled into 109 unique-ESTs grouped into different functional categories. Based on GO functional annotation, the expressed sequences like Oxygen-evolving enhancer protein1, AARF domain-containing kinase protein, V-type proton ATPase subunitd2, RMD5 homologA, and ABC transporter G35 that are involved in photosynthesis, cellular transport, cell rescue and defense, polyubiquitination and secondary metabolism played a significant role implying a complex response to salt in S. maritima. This is the first report that SSH could facilitate screening across species and family specific identification of salt responsive genes provides insight into biological mechanisms underlying salinity response.
A Spark Parallel Betweenness Centrality Computation and its Application to Community Detection Problems

The Brandes algorithm has the lowest computational complexity for computing the betweenness centrality measures of all nodes or edges in a given graph. Its numerous applications make it one of the most used algorithms in social network analysis. In this work, we provide a parallel version of the algorithm implemented in Spark. The experimental results show that the parallel algorithm scales as the number of cores increases. Finally, we provide a version of the well-known community detection Girvan-Newman algorithm, based on the Spark version of Brandes algorithm.
Why Do Leaders Build Walls? Domestic Politics, Leader Survival, and The Fortification of Borders

States around the world are fortifying their international borders at unprecedented rates. While only seven states had fortified their borders with walls or fences as of the end of World War Two, this number has now grown to more than 75. Why do states build walls on their international borders? While states may build walls to ameliorate the consequences of cross-border economic inequalities and to defend against transnational security threats, we suggest that another compelling logic stems from domestic politics and leaders’ desire to remain in office. Building on assumptions furnished by diversionary theory, we argue that national political leaders at risk of losing office are incentivized to implement popular policies, such as border wall construction, hoping that doing so will prompt a domestic rally effect. To test this argument, we assemble a global dataset of leader-years and find that politically insecure leaders are more likely to be seen to start and continue border wall construction.
Health and Well-Being of Persons of Working Age up to Seven Years after Severe Traumatic Brain Injury in Northern Sweden: A Mixed Method Study

Purpose: To explore the health and well-being of persons seven years after severe traumatic brain injury (STBI). Material and methods: Follow-up of 21 persons 1 and 7 years after STBI using surveys for functional outcome, anxiety/depression, health and mental fatigue. Interviews were conducted and analysed using qualitative content analysis. Convergent parallel mixed method then merged and analysed the results into an overall interpretation. Results: Good recovery, high functional outcome and overall good health were relatively unchanged between 1 and 7 years. Well-being was a result of adaptation to a recovered or changed life situation. Persons with good recovery had moved on in life. Persons with moderate disability self-estimated their health as good recovery but reported poorer well-being. For persons with severe disability, adaptation was an ongoing process and health and well-being were low. Only a few persons reported anxiety and depression. They had poorer health but nevertheless reported well-being. Persons with moderate and severe mental fatigue had low functional outcomes and overall health and none of them reported well-being. Conclusions: The life of a person who has suffered STBI is still affected to a lesser or greater degree several years after injury due to acceptance of a recovered or changed life situation. Further studies are needed on how health and well-being can be improved after STBI in the long-term perspective.
A Small-Plaque Isolate of the Zika Virus with Envelope Domain III Mutations Affect Viral Entry and Replication in Mammalian but Not Mosquito Cells

An Asian Zika virus (ZIKV) isolated from a Thai patient that was serially passaged in Primary Dog Kidney (PDK) cells for attenuation displayed both big and small plaque-forming viruses by the 7th passage. Two small-plaque isolates were selected and purified for characterization as attenuated ZIKV candidates. In vitro growth kinetics showed significantly reduced titers for small-plaque isolates in Vero cells early post-infection compared to the parental ZIKV and a big-plaque isolate, but no significant difference was observed in C6/36 cells. Viral entry experiments elucidate that titer reduction likely occurred due to the diminished entry capabilities of a small-plaque isolate. Additionally, a small-plaque isolate displayed lowered neurovirulence in newborn mice compared to 100% lethality from infection with the parental ZIKV. Genomic analysis revealed the same three unique non-synonymous mutations for both small-plaque isolates: two on the envelope (E) protein at residues 310, alanine to glutamic acid (A310E), and 393, glutamic acid to lysine (E393K), and one on residue 355 of NS3, histidine to tyrosine (H355Y). Three-dimensional (3D) mapping suggests that the E protein mutations located on the receptor-binding and fusion domain III likely affect cell entry, tropism, and virulence. These ZIKV isolates and genotypic markers will be beneficial for vaccine development.
Lipidomic Profiling Identifies Serum Lipids Associated with Persistent Multisite Musculoskeletal Pain

Lipid mediators have been suggested to have a role in pain sensitivity and response; however, longitudinal data on lipid metabolites and persistent multisite musculoskeletal pain (MSMP) are lacking. This study was to identify lipid metabolic markers for persistent MSMP. Lipidomic profiling of 807 lipid species was performed on serum samples of 536 participants from a cohort study. MSMP was measured by a questionnaire and defined as painful sites ≥4. Persistent MSMP was defined as having MSMP at every visit. Logistic regression was used with adjustment for potential confounders. The Benjamini–Hochberg method was used to control for multiple testing. A total of 530 samples with 807 lipid metabolites passed quality control. Mean age at baseline was 61.54 ± 6.57 years and 50% were females. In total, 112 (21%) of the participants had persistent MSMP. Persistent MSMP was significantly associated with lower levels of monohexosylceramide (HexCer)(d18:1/22:0 and d18:1/24:0), acylcarnitine (AC)(26:0) and lysophosphatidylcholine (LPC)(18:1 [sn1], 18:2 [sn1], 18:2 [sn2], and 15-MHDA[sn1] [104_sn1]) after controlling for multiple testing. After adjustment for age, sex, body mass index, comorbidities, and physical activity, HexCer(d18:1/22:0 and d18:1/24:0) and LPC(15-MHDA [sn1] [104_sn1]) were significantly associated with persistent MSMP [Odds Ratio (OR) ranging from 0.25–0.36]. Two lipid classes—HexCer and LPC—were negatively associated with persistent MSMP after adjustment for covariates (OR = 0.22 and 0.27, respectively). This study identified three novel lipid signatures of persistent MSMP, suggesting that lipid metabolism is involved in the pathogenesis of persistent pain.
Phylogenetic and Expression Studies of Small GTP-Binding Proteins in Solanum lycopersicum Super Strain B

This investigation involved a comparative analysis of the small GTPase superfamily in S. lycopersicum super strain B compared to their analogues in leguminous and other non-leguminous species. The small GTPases superfamily members were recognized by tBLASTn searches. The sequences of amino acid were aligned using Clustal Omega and the analysis of phylogeny was performed with the MEGA7 package. Protein alignments were applied for all studied species. Three-dimensional models of RABA2, ROP9, and ROP10 from Solanum lycopersicum “Super strain B” were performed. The levels of mRNA of the Rab, Arf, Rop, and Ran subfamilies were detected in aerial tissues vs. roots. Significant divergences were found in the number of members and groups comprising each subfamily of the small GTPases and Glycine max had the highest count. High expression of Rab and Arf proteins was shown in the roots of legumes whilst in non-legume plants, the highest values were recorded in aerial tissues. S. lycopersicum super strain B had the highest expression of Rab and Arf proteins in its aerial tissues, which may indicate that diazotroph strains have supreme activities in the aerial tissues of strain B and act as associated N-fixing bacteria. The phylogenies of the small GTPase superfamily of the studied plants did not reveal asymmetric evolution of the Ra, Arf, Rop, and Ran subfamilies. Multiple sequence alignments derived from each of the Rab, Arf, and Rop proteins of S. lycopersicum super strain B showed a low frequency of substitutions in their domains. GTPases superfamily members have definite functions during infection, delivery, and maintenance of N2-fixing diazotroph but show some alterations in their function among S. lycopersicum super strain B, and other species.
Emotion Recognition In Persian Speech Using Deep Neural Networks

Speech Emotion Recognition (SER) is of great importance in Human-Computer Interaction (HCI), as it provides a deeper understanding of the situation and results in better interaction. In recent years, various machine learning and Deep Learning (DL) algorithms have been developed to improve SER techniques. Recognition of the spoken emotions depends on the type of expression that varies between different languages. In this paper, to further study important factors in the Farsi language, we examine various DL techniques on a Farsi/Persian dataset, Sharif Emotional Speech Database (ShEMO), which was released in 2018. Using signal features in low- and high-level descriptions and different deep neural networks and machine learning techniques, Unweighted Accuracy (UA) of 65.20% and Weighted Accuracy (WA) of 78.29% are achieved.
Detection of E. coli Bacteria in Milk by an Acoustic Wave Aptasensor with an Anti-Fouling Coating

Milk is a significant foodstuff around the world, being produced and consumed in large quantities. The safe consumption of milk requires that the liquid has an acceptably low level of microbial contamination and has not been subjected to spoiling. Bacterial safety limits in milk vary by country but are typically in the thousands per mL of sample. To rapidly determine if samples contain an unsafe level of bacteria, an aptamer-based sensor specific to Escherichia coli bacteria was developed. The sensor is based on an ultra-high frequency electromagnetic piezoelectric acoustic sensor device (EMPAS), with the aptamer being covalently bound to the sensor surface by the anti-fouling linker, MEG-Cl. The sensor is capable of the selective measurement of E. coli in PBS and in cow’s milk samples down to limits of detection of 35 and 8 CFU/mL, respectively, which is well below the safe limits for commercial milk products. This sensing system shows great promise for the milk industry for the purpose of rapid verification of product safety.
Beyond the ‘normal’ worries: detection and treatment of perinatal anxiety and anxiety disorders

SUMMARY In clinical psychiatry, it is common to see pregnant and postpartum patients who express excessive anxiety and concerns about pregnancy or childbearing. This implies the need to distinguish between symptoms that could be considered to be an expected reaction to the situation, the diagnosis of an anxiety disorder or the presence of pregnancy-related (pregnancy-specific) anxiety. The last presents as a specific clinical phenomenon, identified in the literature as concerns exclusively linked to the situation of pregnancy or childbirth. In this article I review key points in the differential diagnosis of perinatal anxiety and its impact on both the pregnancy and the baby, as well as aspects of detection and diagnosis. I also give a brief summary of possible management approaches and treatments.
Fog Harvesting Devices Inspired from Single to Multiple Creatures: Current Progress and Future Perspective

The increasing demand for clean water driven by the rapid growth of the population and the pollution of water necessitates the development of direct and rapid water harvesting methods. Fog harvesting is proven as a highly efficient water capture method in dry but foggy areas. Herein, the state‐of‐the‐art developments on the multiple biomimetic fog harvesting devices (FHDs) are presented. First, the fundamental and specific mechanisms of fog harvesting involving the Namib Desert beetle, spider silk, cactus, and Nepenthes alata are described in detail, respectively. Second, an in‐depth discussion on the mechanisms of fog harvesting including fog capture and water transport is proposed. Third, a detailed account of the innovative design strategies and fabrication technologies of FHDs is proposed, from single to multiple biomimetic FHDs with typical examples and the merits and demerits are compared. Finally, a critical analysis of current challenges and future development is presented, aiming to promote next‐generation FHDs from scientific research to practical application.
REVIEW ON INTEGRATION OF BIG DATA IN IOT AGRICULTURE SYSTEM

—Agriculture is a field where many changes are accepted in order to produce a high-quality output. We know that there are several forms of irrigation, such as old irrigation, sprinkler irrigation, and drip irrigation, all of which are integrated or converted in the IOT, but there are a few things we need to modify in the irrigation, primarily crop protection and disease prevention. We can save the crop from the pest, but we must first understand the crop's power. Crop strength has recovered from the critical stage to the normal stage, but agriculture activity must be managed with precision. Different algorithms, such as Map-Reduce and Recommendation System, are available in big data. We will concentrate on crop protection in this research.
Design and static analysis of new deployable mechanisms based on the four-bar slider–crank mechanism

Abstract This paper presents two types of new deployable mechanisms based on the motion characteristics of the four-bar slider–crank mechanism (FBSCM): the prism mechanism with constant cross-section and the round deployable mechanism. A new basic planar deployable unit based on the path-generating characteristics of the FBSCM is proposed. The method of building a deployable mast unit with one DOF from the new planar deployable mechanism is given. The prism mechanism with constant cross-section of one DOF is constructed, and the magnification ratio is analyzed. Moreover, the deployable unit with a negative Poisson’s ratio for building the round deployable mechanism based on the properties of functional output of the FBSCM is proposed. The structure of the round deployable mechanism is described, and the parameter model with multilevel deployment is calculated and validated with cases given; the DOF of the round deployable mechanism is one. Last, the static analysis of the round deployable mechanism is studied by simulation; by locking 6 guide rails, the structure is found to have a balanced bearing capacity, and the bearing performance is improved compared with locking only one guide rail.
Neutral-atom-scattering-based mapping of atomically thin layers

Imaging surfaces using low energy neutral atom scattering is a relatively recent development in the field of microscopy. In this work we demonstrate that this technique is sensitive enough to distinguish films as thin as a single monolayer from the underlying substrate. Using collimated beams of He and Kr atoms as an incident probe on MoS$_2$ films grown on SiO$_2$/Si substrate, we observe systematic changes in the scattered atom flux which allows us to map the thin MoS$_2$ films. Measurements carried out by varying incidence energy using both He and Kr provides insights into the details of atom-surface collision dynamics and its role in contrast generation.