Miracle-dz/UniFAR-FTUs huggingface dataset:
Schwind‐ und Kriechverhalten von Beton auf Basis eines alkalisch‐aktivierten Hüttensands

In diesem Beitrag werden die Erkenntnisse einer experimentellen Studie zum Schwind‐ und Kriechverhalten von Beton auf Basis eines alkalisch‐aktivierten Hüttensands (AAS‐Beton) zusammengefasst und mit den für Portlandzement‐Beton bekannten Schwind‐ bzw. Kriechmodellen verglichen. Für den untersuchten AAS‐Beton wurde eine repräsentative Zusammen setzung ausgewählt, die bzgl. des Hüttensandeinflusses einen großen Anwendungsbereich abdeckt und somit grundsätz liche Aussagen und eine Übertragbarkeit bzgl. des Langzeitverformungsverhaltens auch für andere AAS‐Betone zulässt.
Familiarizing Typical Nepali Terms in English

Within the territory of Nepal and its vicinities like India, Myanmar and Bhutan, the Nepali language is used as a means of wider communication. Apart from this, it has become a fertile field of research for linguists, language-based researchers and language teachers. With this assumption, this article aimed to investigate the typical (that are culture-specific) terms of the Nepali language. To achieve this objective, the study employed a case study design that took Nepali culture-specific terms as a case and used document analysis for the interpretation of the information in the selected language based on the framework of words and phrases. For maintaining readability and intelligibility to the global readership, the typical Nepali terms have been glossed in English. The main finding is that the Nepali language is rich in its cultural terms that comprise words and phrases. This study can contribute to the linguists, translators and pedagogues for the frame of reference for further exploration of the rich field of study, reaching to the wider readership.
Functional and phylogenetic diversity of sharks in the Northeastern Pacific

The expansive spatial scale of pelagic communities and the difficulty in acquiring pelagic species' functional traits have stymied an understanding of marine community dynamics. We assembled and analysed a shark trait database and community phylogeny to identify the major axes of trait variation that define shark functional groups. We tested whether membership to biophysical macroecological strata is related to these functional or phylogenetic relationships.
Use of tomography for inference of stress redistribution in rock

Tomographic imaging, commonly. known as a CAT-scan or CT-scan, is used in the medical field to generate a picture of the interior of a body. Current research is applying this method to bodies of rock so that rock failure can be better understood and predicted. This paper describes current understanding of failure within rock, states how tomography is used for rock masses, and illustrates its use with two case studies.
BFT replication resistant to MAC attacks

Over the last decade numerous Byzantine fault-tolerant (BFT) replication protocols have been proposed in the literature. However, the vast majority of these solutions reuse the same authentication scheme, which makes them susceptible to a so called MAC attack. Such vulnerability enables malicious clients to undetectably prevent the replicated service from processing incoming client requests, and consequently making it permanently unavailable. While some BFT protocols attempted to address this issue by using different authentication mechanisms, they at the same time significantly degraded the performance achieved in correct environments. This article presents a novel adaptive authentication mechanism which can be combined with practically any Byzantine fault-tolerant replication protocol. Unlike previous solutions, the proposed scheme dynamically switches between two operation modes to combine high performance in correct environments and liveness during MAC attacks. The experiment results presented in the article demonstrate that the proposed mechanism can sufficiently tolerate MAC attacks without introducing any observable overhead whenever no faults are present.
Eating and swallowing disorders in children with cleft lip and/or palate

Introduction. Cleft lip and palate are complex congenital anomalies of the orofacial system of children. Feeding and swallowing problems occur with varying degrees in children with cleft lip and/or palate. Aim. The aim of this paper was to review the literature and available evidence regarding the types of eating and swallowing disorders that can be identified in children with cleft lip and/or palate, as well as a description and types of compensatory strategies and interventions to alleviate difficulties. Methods. Insight into the relevant literature was performed by specialized search engines on the internet and insight into the electronic database. Results. The extent of the cleft is related to the severity of eating and swallowing disorders, so the most common problems are decreased oral sensitivity, cough, choking, nasal regurgitation, difficulty in sucking, laryngotracheal aspiration due to inadequate airway protection during swallowing, which may result in pneumonia and lung damage. Feeding and swallowing difficulty is also a source of stress for parents. Conclusion. Choking, coughing, nasal regurgitation, laryngotracheal aspiration, excessive air intake can lead to dehydration, malnutrition, but also the need for alternative feeding methods Therefore, it is of great importance to identify the problems of feeding and swallowing in a timely manner, along with modifications of the feeding method.
WSN Node Based on Adaptive Cuckoo Search Algorithm for Agricultural Broadcast Positioning

The node location of wireless sensor network (WSN) is actually a multi-dimensional constraint optimization problem for measuring distance and range error. A new adaptive cuckoo search algorithm is proposed to solve the problems of the standard cuckoo search algorithm, such as slow convergence rate and easy to get into local optimum. Firstly, the algorithm has a large searching space in the early stage and improves the global searching ability by adjusting the flight step length of Levy. Secondly, dynamic inertial weight and memory strategy are introduced for random swimming; therefore the algorithm can make full use of historical experience and improve the stability. Finally, simulation results show that the proposed algorithm can effectively improve the positioning accuracy without increasing the hardware cost.
Organic-based transducer for low-cost charge detection in aqueous media

In this paper we describe a new application for organic field-effect transistors (OFETs) as sensing devices for charge detection in aqueous media. The detection principle is based on the field-enhanced conduction that occurs in organic semiconductors in a similar way as in the crystalline inorganic ones. The electrochemical potential developed at the solution/dielectric interface is responsible for the charge-sensitivity. To prove the principle, we have fabricated and modified an OFET to achieve proton sensitivity. The device concept, testing procedure and the pH response are presented.
Performance Analysis for LMS, NLMS and PNLMS Algorithms in Smart Antennas

The current mobile system condition in the society makes us all to be dependents of the wireless communications. Today wireless communication services have had a great increase of users, while the frequency beam allocated to them remains limited. In recent years, wireless communications began to present fail and reduction in transmission quality. Seeing the need to change this context, several studies have presented for to maximize the traffic capacity of such services and reduce interference in the communications media. In this paper, we analyze the performance of smart antenna system foralgorithms LMS, NLMS and PNLMS. Being realized to a high number of elements in the antenna, which show a great the amount of side lobes, but for smart antenna is an optimum factor, because will we have a good directivity and walking distance for no pick up unwanted signals due to the arrival angle (AOA's) be large. Will be made a comparative analysis using MATLAB software.
Nanocellulose‐assisted preparation of electromagnetic interference shielding materials with diversified microstructure

Sustainable and renewable nanocellulose attracts more and more attention in various fields due to its high strength‐to‐weight ratio, small diameter, large aspect ratio, and abundant functional groups. The excellent properties and structural characteristics enabled a great potential of nanocellulose for efficient interactions with functional nanomaterials such as carbon nanotube, graphene, transition metal carbides/nitrides (MXenes), and metal nanoparticles, which is beneficial for preparing high‐performance electromagnetic interference (EMI) shields. We review the advances in the nanocellulose‐assisted preparation of composite films and aerogels for EMI shielding application. The nanocellulose‐based composites are evaluated in terms of their EMI shielding performance and the shielding mechanisms, including conduction, polarization, and multiple reflections are summarized. In addition to the constituent structure and contents, we highlight the significance of the microstructure design in enhancing the EMI shielding performance of the nanocellulose‐based EMI shields. Finally, the current challenges and outlook for these fascinating nanocellulose‐based EMI shielding composites are discussed.
Numerical modelling and experimental analysis of the passenger side airbag deployment in out-of-position

ABSTRACT In recent years, many accidents happened with passengers who were out of position when their airbag deployed. Therefore, new safety regulations have come into effect and an airbag now has to meet several requirements that concern out of positioning. In meeting these requirements, simulations of folding and deploying airbags are very useful and are widely used. This paper presents a simulation method for the deploying airbags using three materials in different working conditions. The main aim of this study is evaluate the performance of deploying of passenger side airbag using finite-element methods (FEMs). The model has been validated with experimental tests specifically designed for this task. Although the analysis was limited to linear elastic model, excellent agreements were obtained.
System impact of the physical length of unapodized chirped fiber Bragg gratings on dispersion compensation

It is shown, for the first time, how the group-delay ripple, due to a pair of identical unapodized dispersion compensating gratings, can be affected by a small change in the physical length of one of the gratings. It is theoretically and experimentally demonstrated that the ripple can be smoothened by a slight difference in length between the gratings. The pair are arranged in a four-port optical circulator in a cascading configuration. System simulations indicate that the performance of the unapodized gratings may be improved by using such a scheme. This has implications for dispersion compensation in high-speed long-haul transmission systems.
Radiation hardness study of Silicon Detectors for the CMS High Granularity Calorimeter (HGCAL)

The high luminosity LHC (HL-LHC or Phase-II) is expected to increase the instantaneous luminosity of the LHC by a factor of about five, delivering 0∼25 fb −1 per year between 2025 and 2035. Under these conditions the performance degradation of detectors due to integrated radiation dose/fluence will need to be addressed. The CMS collaboration is planning to upgrade many detector components, including the forward calorimeters. The replacement for the existing endcap preshower, electromagnetic and hadronic calorimeters is called the High Granularity Calorimeter (HGCAL) and it will be realized as a sampling calorimeter, including 40 layers of silicon detectors totalling 600 m2. The sensors will be realized as pad detectors with cell size between 0.5 and 1.0 cm2 and an active thickness between 100 μm and 300 μm depending on their location in the endcaps. The thinner sensors will be used in the highest radiation environment. For an integrated luminosity of 3000 fb −1, the electromagnetic calorimeter will have to sustain a maximum integrated dose of 1.5 MGy and neutron fluences of 1.0×1016 neq/cm2. A tolerance study after neutron irradiation of 300 μm, 200 μm, 100 μm and 50 μm n-on-p and p-on-n silicon pads irradiated to fluences up to 1.6×1016 neq/cm2 is presented. The main properties of these diodes have been studied before and after irradiation: leakage current, capacitance, charge collection efficiency with laser and sensitivity to minimum ionizing particles with radioactive source (90Sr). The results show a good performance even after the most extreme irradiation.
Loci on chromosome 12q13.2 encompassing ERBB3, PA2G4 and RAB5B are associated with polycystic ovary syndrome

Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenemia of ovarian theca cell origin. Here we report the significant association of 15 single nucleotide polymorphisms (SNPs), identified by whole exome sequencing (WES). DNA was isolated from well-characterized theca cell preparations from women of European ancestry with PCOS (N=9) and elevated androgen production in vitro and from normal ovulatory women (N=7). Of the SNPs, 10 are located within 150 kb on chromosome 12q13.2. This region contains three plausible PCOS candidate genes (ERBB3/PA2G4/RAB5B), two of which (ERBB3 and RAB5B) have been identified in GWAS of PCOS. None of the SNPs individually had a significant association with PCOS or in vivo androgen levels when evaluated in an independent cohort (n=318) of families with one or more daughters with PCOS, but a haplotype consisting of the minor alleles of three of the SNPS (rs773121, rs773123 and rs812826) was found preferentially in women with PCOS and elevated androgen levels (p=0.0583). Moreover, the three minor alleles in this haplotype were significantly associated with anti-Mullerian Hormone (AMH) levels, a marker of follicular reserve and follicular maturation. Two of the three SNP minor alleles are predicted to have significant functional consequences (rs773123 a missense SNP in ERBB3, and rs812826, a SNP in the PA2G4 promoter). Notably, PA2G4 encodes a protein that interacts with the ERBB3 cytoplasmic domain, which is also the domain where the missense variant resides. These findings provide support for the contribution and probable functional significance of loci on chromosome 12q13.2 to the pathophysiology underlying PCOS.
Outage Probability of EGC Receiver Over Composite Fading Channels with Phase Error and Co-channel Interference

ABSTRACT The outage probability of an arbitrary branch equal gain combining (EGC) receiver with carrier phase error in the presence of co-channel interference in composite generalized gamma (GG) and composite generalized K (KG) fading environment is derived. Mathematical expressions for the outage probability of the EGC receiver for these fading channels have been obtained. The obtained expressions for the outage probability are numerically evaluated. Numerical results for different degrees of phase errors is plotted with the simulation results. Simulation results closely match with the numerical results.
Commercialization of the Microcel{trademark} column flotation technology

Hydrodynamic analyses suggest that the recovery of fine particles by flotation can be improved through the use of smaller air bubbles. Unfortunately, many of the commercial methods for generating small air bubbles are difficult to scale-up and maintain. To overcome these problems, a novel flotation system known as Microcel{trademark} column flotation was developed at Virginia Tech. In this process, compressed air is injected into flotation pulp that is circulated through a parallel set of static in-line mixers. This arrangement provides a means of creating high energy dissipation, which is essential for producing small bubbles, without creating serious wear and maintenance problems. This article reviews some of the fundamental principles involved m the development of the Microcel{trademark} technology and provides guidelines for designing an effective fine coal flotation system. An example of a commercial installation of the Microcel{trademark} technology is also presented along with the economic benefits of using this advanced fine coal cleaning technique.
BODY HYDRATION DEGREE CHANGES DURING TRAINING IN FOOTBALL PLAYERS IN WINTER CONDITIONS

Body hypohydration degree significantly influences the athletes’ performance, which is especially important for sport game players. The hydration degree of athlete’s body determines his aerobic endurance and the ability to perform psychomotor tests. Thirst sensation cannot be plausible indicator to regulate water uptake, because plain water suppresses thirst (thus further drinking) therefore the water uptake will be twice smaller than necessary. The aim of our investigation is to determine the effect of 1.5 hours football training on urine specific gravity and hydration degree of athlete in winter conditions. Forty football players from the first league teams participated in the investigation voluntarily. Their mean age was 20.5 ± 3.5 years; height – 180.7 ± 6.2cm and mean body mass – 76.4 ± 8.2kg. The players are weighed using precise scales. Urine samples were collected before and after the training. Urine specific gravity was measured by urine refractometer. Results show that before training 14 (35%) athletes were euhydrated, 24 athletes (60%) were hypohydrated and two athletes (5%) were seriously hypohydrated. After training 4 (10%) athletes were euhydrated, 22 athletes (55%) were hypohydrated and 14 (35%) were seriously hypohydrated. The mean weight loss during the training was 0.80 ± 0.55kg, but the mean water loss – 0.53l/h. Even 1.5 hours prolonged training changes urine specific gravity. Results show that more than half of players were hypohydrated even before the training and body hydration degree worsens after the training. The recommendation is to uptake greater amount of mineral water before, during and after training.
Trecento: in silico network-driven identification of target combinations for combination therapy

In recent years, there has been a gradual paradigm shift in the drug industry towards combination therapyafter the “one-target one-drug” (mono-therapy) approach fails to increase the number of successful drugs. Although, the use of multiple drugs in a therapy is potentially useful for addressing diseases ( .g., cancer) that implicate multiple genes and pathways, there is also a higher possibility of drug toxicity that is caused by various factors including the compounding ofoff-target effectsof individual drugs. Careful selection of target combination is an important step towards reducing attrition rate of new drug combinations during preclinical and clinical phases. Although various techniques have been suggested for target selection, they generally apply to mono-therapies. Many of these approaches ( e.g., affinity matrix) cannot be applied directly to target combination identification because they lack consideration of interaction between targets that affects efficacy and toxicity profiles of drug combinations hitting these targets. In addition, the few proposed approach for target combination identification all suffer from certain key limitations. First, they assume that all targets are equally probable for a combination. However, targets influence effects of the combinations differently and appropriate choice of targets can potentially improve the target combinations. Second, they demand specific technical expertise from users ( e.g., knowledge of what off-target effects to optimize) and a lack of the required expertise can undermine the effectiveness of the method. In this dissertation, we seek to address these limitations by proposing a framework called TRECENTO(In SilicoNeTwork-dRiven IdEntifiCation of TargEt CombiNaTions for COmbination Therapy). TRECENTO uses a network-based approach for identifying target combinations in xix ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
Using Simulation Applications for Sustainable Design and Construction

This paper briefly illustrates the application of Building Energy Consumption Simulation (BECS) for sustainable construction education. The curricula of building-related majors have not greatly taken advantage of simulated environments as supplementary tools besides traditional methods. The main purpose of the research project was to determine how a simulation application can be used in a construction curriculum. In order to apply energy consumption optimization in a construction project, there are various suggestions and guidelines that should be carefully incorporated in design and construction phases. BECS is a simulation application that navigates construction students through a set of pre-defined stages and provides necessary information accordingly. BECS puts students in a role of a designer and requires them first to specify the main properties of the construction project such as location, total area, height, orientation, shape, function, and number of levels; and then, interactively specify the characteristics of a building element or construction method in each stage of simulation. The diversity of students’ responses were portrayed by 3D avatars accompanied with related calculations and corresponding criteria. Each stage iterates until design and details are satisfactory. The final result, depicting construction details, is shown at the end based on each students design process in accordance with sustainable construction criteria. This study aimed to investigate the effect of using simulation on participants’ perceptions of simulation on learning sustainable construction concepts. BECS was tested by a group of 42 undergraduate students in fall 2015. A quantitative method was used in this research. The data retrieved from a retrospective pre and post-test survey were clustered into three main categories. These categories represent sustainable construction contents provided in BECS. A t test was performed to show any statistical difference between pre and post situations. The results support development of more sustainable construction simulation applications and indicate BECS is an effective tool for sustainable construction education.
Fast recognition of bird sounds using extreme learning machines

Recognition of bird species by their sounds can bring considerable significance to both ecologists and ornithologists for measuring the biodiversity in the reserves, and studying climate changes. In this letter, we propose an efficient method based on an extreme learning machine (ELM) to classify bird sounds of 86 species of birds in very limited training and testing time. Experimental results prove that, the proposed ELM method can achieve the best recognition performance (81.1 %, unweighted average recall) compared with K‐nearest neighbours (K‐NN), support vector machines (SVM), neural networks (NN), and deep neural networks (DNN) pre‐trained by an autoencoder. In addition, ELM requires the least total time for training and testing (2.047 ± 0.034 s). © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.