Miracle-dz/UniFAR-FTUs huggingface dataset:
A Study of the Effects of Al, Cr, Hf, and Ti Additions on the Microstructure and Oxidation of Nb-24Ti-18Si Silicide Based Alloys

In Nb-silicide based alloys Al, Cr, Hf, and Ti additions are crucial for achieving balance of properties. It is not known how the simultaneous addition of Hf with Al and Ti, or Hf with Al, Cr, and Ti affects macrosegregation, and how the alloying affects hardness, Young’s modulus and bulk alloy oxidation, and contamination of the solid solution Nbss and the Nb5Si3 compound by oxygen. Two alloys with nominal compositions (at.%) Nb-24Ti-18Si-5Al-5Hf (alloy NbSiTiHf-5Al) and Nb-24Ti-18Si-5Al-5Cr-5Hf (alloy NbSiTiHf-5Al-5Cr) were studied in the as-cast and heat-treated conditions and after isothermal oxidation at 800 and 1200 °C and were compared with similar alloys without Hf. In both alloys there was macrosegregation of Si and Ti, which was more severe in NbSiTiHf-5Al. Both alloys formed Nbss+βNb5Si3 eutectic. The Nbss was stable and its Al and Cr concentrations increased with increasing Ti concentration. In both conditions the βNb5Si3 was observed in the alloys NbSiTiHf-5Al and NbSiTiHf-5Al-5Cr, and the γNb5Si3 only in the alloy NbSiTiHf-5Al. In both heat-treated alloys, separate Hf-rich Nb5Si3 grains were formed. The Si and Al concentrations in Nb5Si3 respectively decreased and increased with increasing Ti concentration. Al and Cr had a stronger hardening effect in the Nbss than Al, Cr, and Hf. Al, Cr, and Ti had a stronger negative effect on the Young’s modulus of the Nbss compared with Al, Cr, Hf, and Ti. When Nb was substituted by Ti, Cr, and Hf, and Si by Al in the βNb5Si3, the Young’s modulus was reduced compared with the unalloyed silicide. At 800 °C both alloys did not exhibit catastrophic pest-oxidation after 100 h. The Nbss and Nb5Si3 were contaminated by oxygen in both alloys, the former more severely. At 1200 °C the scales spalled-off, more severely in the alloy NbSiTiHf-5Al, where substrate that was heavily contaminated by oxygen below the scale also spalled-off. In both alloys the contamination of Nb5Si3 and Nbss by oxygen was more severe compared with 800 °C, but the silicides were not contaminated by oxygen in their bulk. The Nbss was not contaminated by oxygen only in the bulk of the alloy NbSiTiHf-5Al-5Cr.
Development of a High-Sensitivity Optical Accelerometer for Low-Frequency Vibration Measurement

Low-frequency vibration is a harmful factor that affects the accuracy of micro/nano-measuring machines. Low-frequency vibration cannot be completely eliminated by passive control methods, such as the use of air-floating platforms. Therefore, low-frequency vibrations must be measured before being actively suppressed. In this study, the design of a low-cost high-sensitivity optical accelerometer is proposed. This optical accelerometer mainly comprises three components: a seismic mass, a leaf spring, and a sensing component based on a four-quadrant photodetector (QPD). When a vibration is detected, the seismic mass moves up and down due to the effect of inertia, and the leaf spring exhibits a corresponding elastic deformation, which is amplified by using an optical lever and measured by the QPD. Then, the acceleration can be calculated. The resonant frequencies and elastic coefficients of various seismic structures are simulated to attain the optimal detection of low-frequency, low-amplitude vibration. The accelerometer is calibrated using a homemade vibration calibration system, and the calibration experimental results demonstrate that the sensitivity of the optical accelerometer is 1.74 V (m·s−2)−1, the measurement range of the accelerometer is 0.003–7.29 m·s−2, and the operating frequencies range of 0.4–12 Hz. The standard deviation from ten measurements is under 7.9 × 10−4 m·s−2. The efficacy of the optical accelerometer in measuring low-frequency, low-amplitude dynamic responses is verified.
ORL-SDN

In designing an HTTP adaptive streaming (HAS) system, the bitrate adaptation scheme in the player is a key component to ensure a good quality of experience (QoE) for viewers. We propose a new online reinforcement learning optimization framework, called ORL-SDN, targeting HAS players running in a software-defined networking (SDN) environment. We leverage SDN to facilitate the orchestration of the adaptation schemes for a set of HAS players. To reach a good level of QoE fairness in a large population of players, we cluster them based on a perceptual quality index. We formulate the adaptation process as a Partially Observable Markov Decision Process and solve the per-cluster optimization problem using an online Q-learning technique that leverages model predictive control and parallelism via aggregation to avoid a per-cluster suboptimal selection and to accelerate the convergence to an optimum. This framework achieves maximum long-term revenue by selecting the optimal representation for each cluster under time-varying network conditions. The results show that ORL-SDN delivers substantial improvements in viewer QoE, presentation quality stability, fairness, and bandwidth utilization over well-known adaptation schemes.
Speeding Up Neural Machine Translation Decoding by Cube Pruning

Although neural machine translation has achieved promising results, it suffers from slow translation speed. The direct consequence is that a trade-off has to be made between translation quality and speed, thus its performance can not come into full play. We apply cube pruning, a popular technique to speed up dynamic programming, into neural machine translation to speed up the translation. To construct the equivalence class, similar target hidden states are combined, leading to less RNN expansion operations on the target side and less softmax operations over the large target vocabulary. The experiments show that, at the same or even better translation quality, our method can translate faster compared with naive beam search by 3.3x on GPUs and 3.5x on CPUs.
Developing a toolkit for the assessment and monitoring of musculoskeletal ageing

Abstract The complexities and heterogeneity of the ageing process have slowed the development of consensus on appropriate biomarkers of healthy ageing. The Medical Research Council–Arthritis Research UK Centre for Integrated research into Musculoskeletal Ageing (CIMA) is a collaboration between researchers and clinicians at the Universities of Liverpool, Sheffield and Newcastle. One of CIMA’s objectives is to ‘Identify and share optimal techniques and approaches to monitor age-related changes in all musculoskeletal tissues, and to provide an integrated assessment of musculoskeletal function’—in other words to develop a toolkit for assessing musculoskeletal ageing. This toolkit is envisaged as an instrument that can be used to characterise and quantify musculoskeletal function during ‘normal’ ageing, lend itself to use in large-scale, internationally important cohorts, and provide a set of biomarker outcome measures for epidemiological and intervention studies designed to enhance healthy musculoskeletal ageing. Such potential biomarkers include: biochemical measurements in biofluids or tissue samples, in vivo measurements of body composition, imaging of structural and physical properties, and functional tests. This review assesses candidate biomarkers of musculoskeletal ageing under these four headings, details their biological bases, strengths and limitations, and makes practical recommendations for their use. In addition, we identify gaps in the evidence base and priorities for further research on biomarkers of musculoskeletal ageing.
A Sweetpotato Auxin Response Factor Gene (IbARF5) Is Involved in Carotenoid Biosynthesis and Salt and Drought Tolerance in Transgenic Arabidopsis

Auxin response factors (ARFs) compose a family of transcription factors and have been found to play major roles in the process of plant growth and development. However, their roles in plant carotenoid biosynthesis and responses to abiotic stresses are rarely known to date. In the present study, we found that the IbARF5 gene from sweetpotato (Ipomoea batatas (L.) Lam. ) line HVB-3 increased the contents of carotenoids and enhanced the tolerance to salt and drought in transgenic Arabidopsis. The transgenic Arabidopsis plants exhibited the increased abscisic acid (ABA) and proline contents and superoxide dismutase (SOD) activity and the decreased H2O2 content. Furthermore, it was found that IbARF5 positively regulated the genes associated with carotenoid and ABA biosynthesis and abiotic stress responses. These results suggest that IbARF5 is involved in carotenoid biosynthesis and salt and drought tolerance in transgenic Arabidopsis. This study provides a novel ARF gene for improving carotenoid contents and salt and drought tolerance of sweetpotato and other plants.
Measuring Enterprise Application Software Interoperability Capability

Building automated solutions that ensure enterprise application interoperability requires measuring the capability of the application interoperability. The paper presents an enterprise application software (EAS) interoperability capability evaluation method. The background of the method is a more in-depth look into evaluation potentiality of interoperability by comparing edit distance of web service operations gathered for each enterprise application software. To evaluate the capability of interoperability of few enterprise application software systems (SuiteCRM, ExactOnline, NMBRS, Prestashop) web service operations and objects was compared using edit distance calculations. The edit distances have been calculated to gather data for evaluation potentiality of the interoperability solution.
A Review on Bone Grafting, Bone Substitutes and Bone Tissue Engineering

Bone diseases and fractures are uprising health burden in modern era. Natural bone healing process is time consuming process, therefore bone grafting techniques were introduced to recover quickly. Autograft was considered as the Gold Standard for past decades, but lack of donor sites enforced for alternative methods such as allograft and xenograft. These methods were also restricted by limited range of applications and ethical constraints. Bone substitutes were able fill up the voids in bone grafting methods and became more effective. Poor mechanical properties and uncontrollable degradation made restrictions on bone treatments. Bone Tissue Engineering have become the emerging method in nowadays which showed promising signs of healing bone diseases and defects including tumours. However, there are challenges to overcome, this process will discover a cure in future for the betterment of the mankind.
Reproductive Function in a Population of Young Faroese Men with Elevated Exposure to Polychlorinated Biphenyls (PCBs) and Perfluorinated Alkylate Substances (PFAS)

Semen quality may be adversely affected by exposure to environmental chemicals such as polychlorinated biphenyls (PCBs) and perfluorinated alkylate substances (PFASs) that are persistent and may act as endocrine disrupting compounds. The aim of this study was to explore whether PCBs or PFASs exposure were associated with abnormalities in semen quality or reproductive hormones in Faroese men. This population based cross-sectional study includes 263 Faroese men (24–26 years) who delivered a semen sample for assessment of sperm concentration, total sperm count, semen volume, morphology and motility. A blood sample was drawn and analyzed for reproductive hormones, PCBs and PFASs. Exposure to ∑PCBs and perfluorooctane sulfonate (PFOS) was positively associated with sex hormone-binding globulin (SHBG) and luteinizing hormone (LH). In addition, total testosterone (T) was positively associated with ∑PCB. Both PCBs and PFOS appear to lead to increased SHBG, perhaps mediated via the liver. The higher total T associated with PCB may represent a compensatory adaption to elevated SHBG levels to maintain an unchanged free testosterone concentration. The positive association to LH for both PCBs and PFOS may indicate a direct adverse effect on the testosterone producing Leydig cells.
Effects of a School-Based Pedometer Intervention in Adolescents: 1-Year Follow-Up of a Cluster-Randomized Controlled Trial.

BACKGROUND Physical activity (PA) is one of the most important health behaviors that may be modified by each individual. To foster PA in adolescents, a school-based intervention was evaluated. METHODS A cluster-randomized controlled trial with preassessment in 2014 and follow-up assessment in 2015 included 29 schools with 1020 students (47.6% girls, mean age = 13.69 years). Intervention students received pedometers and monitored their steps for 12 weeks. Classes with the most steps were awarded. Primary outcomes included moderate-to-vigorous PA, out-of-school sports activities, active transport assessed through questionnaires, as well as cardiorespiratory fitness measured using the 20-m shuttle-run test and anthropometric data (weight, height, body fat, and waist circumference) assessed by study staff. RESULTS Significant interaction terms between group and time were found for all 3 indicators of PA; intervention students showed a higher increase of PA than control students. The same pattern was shown for cardiorespiratory fitness, but the effect missed significance. A more favorable development for the intervention students was shown for body fat and waist-to-height ratio, while there was no effect on body mass index percentile. CONCLUSIONS An easy way to administer school-based PA program may enhance students' leisure-time PA even 1 year after the intervention has ended.
Pulmonary haemodynamics and right ventricular function in cemented vs uncemented total hip arthroplasty—A randomized trial

Bone cement implantation syndrome (BCIS) is a feared complication in orthopaedic surgery with a huge impact on post‐operative morbidity. In this randomized trial, we evaluated the effects of bone cement on pulmonary and systemic haemodynamics in patients receiving either cemented or uncemented hip arthroplasty for isolated femoral neck fracture.
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space

Capturing the semantic relations of words in a vector space contributes to many natural language processing tasks. One promising approach exploits lexico-syntactic patterns as features of word pairs. In this paper, we propose a novel model of this pattern-based approach, neural latent relational analysis (NLRA). NLRA can generalize co-occurrences of word pairs and lexico-syntactic patterns, and obtain embeddings of the word pairs that do not co-occur. This overcomes the critical data sparseness problem encountered in previous pattern-based models. Our experimental results on measuring relational similarity demonstrate that NLRA outperforms the previous pattern-based models. In addition, when combined with a vector offset model, NLRA achieves a performance comparable to that of the state-of-the-art model that exploits additional semantic relational data.
Systematic mapping of free energy landscapes of a growing filamin domain during biosynthesis

Significance Efficient synthesis and folding of proteins, avoiding misfolded states, are central to cell function. As folding may be initiated in parallel with translation, key experimental challenges are to map changes that occur in folding free energy landscapes as translation proceeds and to understand how these landscapes might be modulated by the ribosome and auxiliary factors. Here, we study the length-dependent folding of a domain from a tandem repeat protein and solve the structure of a stable folding intermediate. Although destabilized by the ribosome at equilibrium, modeling of the nonequilibrium folding pathway nevertheless indicates a significant role for proline isomerization during translation. We develop a simple model to explore the impact of cotranslational folding kinetics on misfolding hazards. Cotranslational folding (CTF) is a fundamental molecular process that ensures efficient protein biosynthesis and minimizes the formation of misfolded states. However, the complexity of this process makes it extremely challenging to obtain structural characterizations of CTF pathways. Here, we correlate observations of translationally arrested nascent chains with those of a systematic C-terminal truncation strategy. We create a detailed description of chain length-dependent free energy landscapes associated with folding of the FLN5 filamin domain, in isolation and on the ribosome, and thus, quantify a substantial destabilization of the native structure on the ribosome. We identify and characterize two folding intermediates formed in isolation, including a partially folded intermediate associated with the isomerization of a conserved cis proline residue. The slow folding associated with this process raises the prospect that neighboring unfolded domains might accumulate and misfold during biosynthesis. We develop a simple model to quantify the risk of misfolding in this situation and show that catalysis of folding by peptidyl-prolyl isomerases is sufficient to eliminate this hazard.
Royal Jelly Delays Motor Functional Impairment During Aging in Genetically Heterogeneous Male Mice

Aging is associated with motor disorders that decrease the quality of life (QOL). Royal jelly (RJ), used as a dietary supplement, has shown various health benefits and, therefore, it has the potential to improve the QOL during aging. We have previously developed protease enzyme-treated RJ to avoid the anaphylactic response induced by RJ supplementation. However, the effects of a lifelong treatment with RJ on normal aging have not been fully clarified. In this study, we investigated the effects of enzyme-untreated RJ (NRJ) and enzyme-treated RJ (ERJ) on the aging process focusing on motor functions, by using a genetically heterogeneous (HET) mouse model experimentally endowed with genetic diversity. We performed four different physical performance tests (grip strength, wire hang, horizontal bar, and rotarod). We showed that the age-related impairment of the motor functions was significantly delayed in RJ-treated mice. Both NRJ and ERJ were similarly effective against these types of aging-associated declines. Histological analyses revealed that the RJ treatment affected the muscle fiber size at an advanced age. We also demonstrated that age-related changes in muscle satellite cell markers and catabolic genes were affected in RJ-treated mice. These results suggest that non-protein components of RJ improved the motor function in aging mice. These findings indicate that RJ has the potential to change the QOL during aging by regulating the motor function.
Mobile Application for Learning Languages for the Unlettered

Mobile based technologies have become ubiquitous, and various applications from games to readers are mobile oriented. In this paper, we propose development of speech based language learning app. Conventionally language learning tools start with words, followed by sentences. The fundamental assumption is that the person is literate. In the Indian context, the literacy levels are as low as 65%. In addition, each Indian language has its own scripts. The objective of this work is to develop a mobile app that starts from the script to teach the language to a person who can speak the language but is unlettered. Since the focus is on the unlettered, writing should be easy. A script centric approach is used to learn a language. The application starts with teaching a simple letter of the alphabet, followed by another letter that can be obtained by simple modiﬁcation to the previously learned letter, followed by words using the letters that are learned, followed by sentences using the learned words. At every step, a text-to-speech system is used which articulates the letters, and words. The learning app is based on a book called Tamil Karpom (P Nan-nan). The ideas from the book are adapted for learning Hindi.
Reply to Commentary on Impact of National Comprehensive Cancer Network Guidelines on Case Selection and Outcomes for Sentinel Lymph Node Biopsy in Thin Melanoma.

In our study, endogenous peroxidase activity was common, and 3% H2O2 reduced false-positive staining. Saturating amounts of H2O2 irreversibly inactivate endogenous peroxidases. Various concentrations of H2O2 from 0.3% to 3%, dilute periodic acid, and commercial proprietary quenching agents exist. A quenching reagent should be considered forMMS sections testedwith IHC.Although this step increases protocol time and may be harsh on frozen tissue, test accuracy is increased. If quenching is omitted, endogenous peroxidase staining can be recognized by using proper negative controls for each block tested.
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks

Transferability captures the ability of an attack against a machine-learning model to be effective against a different, potentially unknown, model. Studying transferability of attacks has gained interest in the last years due to the deployment of cyber-attack detection services based on machine learning. For these applications of machine learning, service providers avoid disclosing information about their machine-learning algorithms. As a result, attackers trying to bypass detection are forced to craft their attacks against a surrogate model instead of the actual target model used by the service. While previous work has shown that finding test-time transferable attack samples is possible, it is not well understood how an attacker may construct adversarial examples that are likely to transfer against different models, in particular in the case of training-time poisoning attacks. In this paper, we present the first empirical analysis aimed to investigate the transferability of both test-time evasion and training-time poisoning attacks. We provide a unifying, formal definition of transferability of such attacks and show how it relates to the input gradients of the surrogate and of the target classification models. We assess to which extent some of the most well-known machine-learning systems are vulnerable to transfer attacks, and explain why such attacks succeed (or not) across different models. To this end, we leverage some interesting connections highlighted in this work among the adversarial vulnerability of machine-learning models, their regularization hyperparameters and input gradients.
Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture

Sparse matrix vector multiplication (SpMV) is an important computational kernel in traditional high-performance computing and emerging data-intensive applications. Previous SpMV libraries are optimized by either application-specific or architecture-specific approaches but present difficulties for use in real applications. In this work, we develop an auto-tuning system (SMATER) to bridge the gap between specific optimizations and general-purpose use. SMATER provides programmers a unified interface based on the compressed sparse row (CSR) sparse matrix format by implicitly choosing the best format and fastest implementation for any input sparse matrix during runtime. SMATER leverages a machine-learning model and retargetable back-end library to quickly predict the optimal combination. Performance parameters are extracted from 2,386 matrices in the SuiteSparse matrix collection. The experiments show that SMATER achieves good performance (up to 10 times that of the Intel Math Kernel Library (MKL) on Intel E5-2680 v3) while being portable on state-of-the-art x86 multicore processors, NVIDIA GPUs, and Intel Xeon Phi accelerators. Compared with the Intel MKL library, SMATER runs faster by more than 2.5 times on average. We further demonstrate its adaptivity in an algebraic multigrid solver from the Hypre library and report greater than 20% performance improvement.