Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparative Study to Evaluate the Essential Work of Fracture to Measure the Fracture Toughness of Quasi-Brittle Material

In the present work, three different woven composite laminates were fabricated using the hand lay-up method. The woven reinforcement fibres were carbon fibres (CFRP), glass fibres (GFRP-W) and (GFRP-R) in combination with epoxy resin. Then, the central notch specimen tensile test (CNT) was used to measure the fracture toughness and the corresponding surface release energy (GIC). Then, the data were compared with the essential work of fracture (we) values based on the stored energy of the body to obtain a new standard fracture toughness test for composite laminates using relatively simple techniques. In addition to an extended finite element model, XFEM was implemented over a central notch specimen geometry to obtain a satisfactory validation of the essential work of fracture concepts. Therefore, the average values of (GIC) were measured with CNT specimens 25.15 kJ/m2, 32.5 kJ/m2 and 20.22 kJ/m2 for CFRP, GFRP-W and GFRP-R, respectively. The data are very close as the percentage error for the surface release energy measured by the two methods was 0.83, 4.6 and 5.16 for carbon, glass and random fibre composite laminates, respectively. The data for the fracture toughness of XFEM are also very close. The percentage error is 4.6, 5.25 and 2.95 for carbon, glass and random fibre composite laminates, respectively. Therefore, the fundamental work of the fracture concept is highly recommended as a fracture toughness test for composite laminates or quasi-brittle Material.
Organizational Leadership through the Massive Transformative Purpose

Purpose: This study aims at justifying the affiliation of the massive transformative purpose as an important item in the aggregate of the proclaimed corporate culture elements. For this reason the bundle of shades in the meaning for the massive transformative purpose will be explored, bearing in mind the main researcher’s interest in outlining the cultural facet of the construct the attributes of which should be further categorized as official and unofficial ones. Methodology: Literature review and critical analysis of academic publications and blogs of business leaders and consultants in the sphere of the exponential organizations are performed in order to identify important shades in the meaning of the massive transformative purpose. The latter are summarized and categorized as basic nuances and new elaboration streams by the application of the mind-map method. Secondary data analysis and an ethnographic research method are used to identify the cultural facets of the construct, based on its shades of meaning. Findings: A set of interconnected nuances in the meaning of the massive transformative purpose is grounded through the performed review and critical analysis of books, scientific articles and blogs. The aforementioned nuances are logically and hierarchically arranged by two useful mind-maps. The outlined cultural facet of the massive transformative purpose is structured into two parts: (1) the first one, containing the core shades of meaning of the construct, and (2) the second one, encompassing the identified new elaboration streams for the construct. Thus, it became possible to propose two new definitions for the massive transformative purpose, embodying the aforementioned parts. In this way, the massive transformative purpose is directly determined as an element of the proclaimed corporate culture, used to formulate and communicate officially the leadership intents of future business development.
Estimation of High-Resolution Daily Ground-Level PM2.5 Concentration in Beijing 2013–2017 Using 1 km MAIAC AOT Data

High-spatiotemporal-resolution PM2.5 data are critical to assessing the impacts of prolonged exposure to PM2.5 on human health, especially for urban areas. Satellite-derived aerosol optical thickness (AOT) is highly correlated to ground-level PM2.5, providing an effective way to reveal spatiotemporal variations of PM2.5 across urban landscapes. In this paper, Multi-Angle Implementation of Atmospheric Correction (MAIAC) AOT and ground-based PM2.5 measurements were fused to estimate daily ground-level PM2.5 concentrations in Beijing for 2013–2017 at 1 km resolution through a linear mixed effect model (LMEM). The results showed a good agreement between the estimated and measured PM2.5 and effectively revealed the characteristics of its spatiotemporal variations across Beijing: (1) the PM2.5 level is higher in the central and southern areas, while it is lower in the northern and northwestern areas; (2) the PM2.5 level is higher in autumn and winter, while it is lower in spring and summer. Moreover, annual PM2.5 concentrations decreased by 24.03% for the whole of Beijing and 31.46% for the downtown area from 2013 to 2017. The PM2.5 data products we generated can be used to assess the long-term impacts of PM2.5 on human health and support relevant government policy decision-making, and the methodology can be applied to other heavily polluted urban areas.
Improved disturbance detection and load shedding technique for low voltage islanded microgrids

The rate of change of frequency (RoCoF) following any disturbance in low voltage islanded microgrids is not only relatively high compared to conventional systems, but also becomes location specific due to the presence of highly resistive lines. This makes the disturbance detection challenging. A novel real-time disturbance detection technique for low voltage islanded microgrids is proposed that is independent of the system inertia, which can detect any disturbance within 100 ms. A dedicated initial RoCoF calculation is developed over a 30 ms window especially during disturbances. The authors use a support vector machine-based regression model for the estimation of the amount of disturbance with three different feature selections. These models prove that only the RoCoF is not enough to estimate the amount of disturbance in an islanded microgrid and additional features from the frequency and different bus voltages also required. A load shedding algorithm encompassing battery support is also proposed to protect the system from quick frequency collapse by providing power from the battery when the frequency reaches its standard operational limit. All the proposed algorithms are tested with a low voltage islanded microgrid modelled in MATLAB/SIMULINK. The results are also verified with noisy data to reflect real system performance.
Endovascular Treatment of Complex Intracranial Aneurysms With LEO+ Stents: The LEO II Cohort Study

Introduction Stent-assisted coiling is an established treatment option for intracranial aneurysms, particularly, wide neck aneurysms with complex anatomy. The purpose of the present study was to assess the safety and efficacy of LEO+ stents in the treatment of intracranial aneurysms. Materials and Methods A prospective, observational, multicenter study including 12 centers was performed on patients with ruptured, unruptured, and recanalized intracranial aneurysms treated with LEO+ stents. The primary efficacy endpoint was the rate of complete aneurysmal occlusion at 18 months post-procedure, and the primary safety endpoint was the morbidity and mortality at 18 months post-procedure. Results From March 2015 to June 2017, 176 patients were enrolled (mean age of 54.8 ± 11.5 years; 65.9% women). The aneurysms were located mainly in the anterior communicating artery (29.2%) and the middle cerebral artery (28.6%). They were mostly saccular (94%), with a mean dome size of 5.3 ± 2.6 mm and a mean aspect ratio of 1.2 ± 1.0. In total, 3% of the aneurysms were treated in the acute phase of rupture. Complete/nearly complete aneurysmal occlusion and major recanalization were observed in 89% (n = 146/164) and 1.8% (n = 3/164) of patients at 18-month follow-up, respectively. The LEO+ related mortality rate was 0.6% (n = 1/170), the morbidity rate was 4.1% (n = 7/170), and these patients were mRS 0–2 at 18 months. Conclusion Our results reflecting the use of LEO+ stents in real-world conditions confirm the efficacy and safety of LEO+ stents in the management of complex intracranial aneurysms.
Curcumol Suppresses CCF-Mediated Hepatocyte Senescence Through Blocking LC3B–Lamin B1 Interaction in Alcoholic Fatty Liver Disease

Recent studies indicated that hepatocyte senescence plays an important role in the development of alcoholic fatty liver disease (AFLD), suggesting that inhibition of hepatocyte senescence might be a potential strategy for AFLD treatment. The present study investigated the effect of curcumol, a component from the root of Rhizoma Curcumae, on hepatocyte senescence in AFLD and the underlying mechanisms implicated. The results showed that curcumol was able to reduce lipid deposition and injury in livers of ethanol liquid diet-fed mice and in ethanol-treated LO2 cells. Both in vivo and in vitro studies indicated that supplementation with curcumol effectively alleviated ethanol-induced cellular senescence as manifested by a decrease in senescence-associated β-galactosidase (SA-β-gal) activity, a downregulated expression of senescence-related markers p16 and p21, and dysfunction of the telomere and telomerase system. Consistently, treatment with curcumol led to a marked suppression of ethanol-induced formation of cytoplasmic chromatin fragments (CCF) and subsequent activation of cGAS-STING, resulting in a significant reduction in senescence-associated secretory phenotype (SASP)-related inflammatory factors’ secretion. Further studies indicated that curcumol’s inhibition of CCF formation might be derived from blocking the interaction of LC3B with lamin B1 and maintaining nuclear membrane integrity. Taken together, these results indicated that curcumol was capable of ameliorating AFLD through inhibition of hepatocyte senescence, which might be attributed to its blocking of LC3B and lamin B1 interaction and subsequent inactivation of the CCF-cGAS-STING pathway. These findings suggest a promising use of curcumol in the treatment of AFLD. Graphical Abstract
A Fast Classification Method of Faults in Power Electronic Circuits Based on Support Vector Machines

Fault detection and location are important and front-end tasks in assuring the reliability of power electronic circuits. In essence, both tasks can be considered as the classification problem. This paper presents a fast fault classification method for power electronic circuits by using the support vector machine (SVM) as a classifier and the wavelet transform as a feature extraction technique. Using one-against-rest SVM and one-against-one SVM are two general approaches to fault classification in power electronic circuits. However, these methods have a high computational complexity, therefore in this design we employ a directed acyclic graph (DAG) SVM to implement the fault classification. The DAG SVM is close to the one-against-one SVM regarding its classification performance, but it is much faster. Moreover, in the presented approach, the DAG SVM is improved by introducing the method of Knearest neighbours to reduce some computations, so that the classification time can be further reduced. A rectifier and an inverter are demonstrated to prove effectiveness of the presented design.
Motion control of chaotic permanent-magnet synchronous motor servo system with neural network–based disturbance observer

The permanent-magnet synchronous motor system will display a variety of chaotic phenomenon when its parameters or external inputs satisfy certain condition, and thus its performance would be deteriorated. Therefore, chaos should be suppressed or eliminated. In this article, a practical method which combines adaptive robust control with a single-layer neural network–based disturbance observer is proposed for elimination of the chaos and high-performance motion control of permanent-magnet synchronous motor. The proposed controller not only accounts for the load torque disturbance but also takes the parametric uncertainties into account. A single-layer neural network–based disturbance observer is designed to estimate the disturbance while an adaptive control law is designed to estimate the parameters respectively. Then, all the estimated values are used in the feedforward cancelation item in the controller via a backstepping technique. Lyapunov’s method is used to prove the stability of the novel control scheme. Sufficient comparative simulation results are obtained to validate the effectiveness of the proposed control strategy.
When Does Familiarity Manifest its Dark Side in the Construction Industry: Moderating Roles of Task Uncertainty and Dependence Asymmetry

In construction project transactions, learning about each other occurs more naturally through prior interactions. However, there are inconsistent views in the existing literature on the impact of familiarity on opportunistic behavior, and the boundary conditions of this impact are not yet clear. To fill these research gaps, this article mainly examines the moderating roles of task uncertainty (reflecting the inherent attributes of construction projects) and dependence asymmetry (reflecting the characteristics of interorganizational relationships) on the relationship between familiarity and opportunistic behavior from learning and knowledge-based perspectives and classifies opportunistic behavior into strong and weak forms. Based on survey data from the Chinese construction industry, this article reveals that task uncertainty positively moderates the relationship between familiarity and sellers’ opportunistic behavior (both strong form and weak form), and dependence asymmetry positively moderates the relationship between familiarity and sellers’ weak-form opportunistic behavior. Furthermore, in the case of high task uncertainty or high dependence asymmetry, familiarity significantly facilitates (rather than inhibits) sellers’ opportunistic behavior, namely, manifesting its dark side. By revealing the boundary conditions of the dark-side effect of familiarity, this article shows more fully the effect of familiarity from learning and knowledge-based perspectives, thus providing an explanation for contradictions in the existing literature and contributing to the agency theory, and offering managerial guidance for construction project buyers in choosing sellers.
Binder‐free ternary transition metal sulfides for energy storage applications

In this study, stimulating approach electrodeposition has been espoused to fabricate binder‐free electrodes of transition metal sulfides to achieve high electrochemical performance for energy storage devices. Here, the effect of Co and Cu with MnS has been scrutinized by gradually replacing Co with Cu concentration. The fabricated electrodes have been examined by FESEM to analyze the structural morphology of the material. Furthermore, electrochemical characterizations have been carried out for exploring the electrode performance which reveals that the S4 electrode (Cu0.75Co0.25MnS) exhibits the best performance as compared to contender electrodes. This electrode exhibits a high specific capacitance of 4800 F/g at 10 A/g current density with a smaller ESR value of 0.48 Ω. Additionally, the S4 electrode has been used as a cathode and activated carbon (AC) as an anode in assembling of supercapacitor device. Device S4//AC portrayed a maximum energy density of 118 Wh/kg with a power density of 960 W/kg at 1.2 A/g. The obtained results prophesied that the electrochemical performance of metal sulfides has been intensified by varying the concentration of material for superior electrochemical applications.
Behavior Flexibility for Autonomous Unmanned Aerial Systems

Autonomous unmanned aerial systems (UAS) could supplement and eventually subsume a substantial portion of the mission set currently executed by remote pilots, making UAS more robust, responsive, and numerous than permitted by teleoperation alone. Unfortunately, the development of robust autonomous systems is difficult, costly, and time-consuming. Furthermore, the resulting systems often make little reuse of proven software components and offer limited adaptability for new tasks. This work presents a development platform for UAS which promotes behavioral flexibility. The platform incorporates the Unified Behavior Framework (a modular, extensible autonomy framework), the Robotic Operating System (a RSF), and PX4 (an opensource flight controller). Simulation of UBF agents identify a combination of reactive robotic control strategies effective for small-scale navigation tasks by a UAS in the presence of obstacles. Finally, flight tests provide a partial validation of the simulated results. The development platform presented in this work offers robust and responsive behavioral flexibility for UAS agents in simulation and reality. This work lays the foundation for further development of a unified autonomous UAS platform supporting advanced planning algorithms and inter-agent communication by providing a behavior-flexible framework in which to implement, execute, extend, and reuse behaviors. The contributions within have been presented at the 2017 SOCHE STEM-Cyber Research Symposium, the 2017 ION Joint Navigation Conference, and the 2018 SSC Pacific Naval Applications of Machine Learning Conference.
Cosmic star formation history with tomographic cosmic infrared background-galaxy cross-correlation

In this work we present a new method for probing the star formation history of the Universe, namely tomographic cross-correlation between the cosmic infrared background (CIB) and galaxy samples. The galaxy samples are from the Kilo-Degree Survey (KiDS), while the CIB maps are made from Planck sky maps at 353, 545, and 857GHz. We measure the cross-correlation in harmonic space within 100 < (cid:96) < 2000 with a signiﬁcance of 43 σ . We model the cross-correlation with a halo model, which links CIB anisotropies to star formation rates (SFRs) and galaxy abundance. We assume that the SFR has a lognormal dependence on halo mass and that the galaxy abundance follows the halo occupation distribution (HOD) model. The cross-correlations give a best-ﬁt maximum star formation e ﬃ ciency of η max = 0 . 41 + 0 . 09 − 0 . 14 at a halo mass log 10 ( M peak / M (cid:12) ) = 12 . 14 ± 0 . 36. The derived star formation rate density (SFRD) is well constrained up to z ∼ 1 . 5. The constraining power at high redshift is mainly limited by the KiDS survey depth. We also show that the constraint is robust to uncertainties in the estimated redshift distributions of the galaxy sample. A combination with external SFRD measurements from previous studies gives log 10 ( M peak / M (cid:12) ) = 12 . 42 + 0 . 35 − 0 . 19 . This tightens the SFRD constraint up to z = 4, yielding a peak SFRD of 0 . 09 + 0 . 003 − 0 . 004 M (cid:12) yr − 1 Mpc − 3 at z = 1 . 74 + 0 . 06 − 0 . 02 , corresponding to a lookback time of 10 . 05 + 0 . 12 − 0 . 03 Gyr. Both constraints are consistent, and the derived SFRD agrees with previous studies and simulations. This validates the use of CIB tomography as an independent probe of the star formation history of the Universe. Additionally, we estimate the galaxy bias, b , of KiDS galaxies from the constrained HOD parameters and obtain an increasing bias from b = 1 . 1 + 0 . 17 − 0 . 31 at z = 0 to b = 1 . 96 + 0 . 18 − 0 . 64 at z = 1 . 5, which highlights the potential of this method as a probe of galaxy abundance. Finally, we provide a forecast for future galaxy surveys and conclude that, due to their considerable depth, future surveys will yield a much tighter constraint on the evolution of the SFRD. 2019), emcee (Foreman-Mackey et al. 2013), and G et D ist (Lewis 2019). We also use W eb P lot D igitizer (Rohatgi 2021) to digitize some external data from plots in the literature. Author contributions. All authors con- tributed to the development and writing of this paper. The authorship list is given in three groups: the lead authors (ZY & LvW) followed by two alphabetical groups. The ﬁrst alphabetical group includes those who are key contributors to both the scientiﬁc analysis and the data products. The second group covers those who have either made a signiﬁcant contribution to the data products, or to the scientiﬁc analysis. Data availability. The cross-correlation data and the MCMC chain of this work will be shared on reasonable request to the corresponding author.
Enhanced Artificial Intelligent Method for Representing the Photonic Crystal Fiber Profile Index

A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).
Is Natural Necessary? Human Voice versus Synthetic Voice for Intelligent Virtual Agents

The use of intelligent virtual agents (IVA) to support humans in social contexts will depend on their social acceptability. Acceptance will be related to the human’s perception of the IVAs as well as the IVAs’ ability to respond and adapt their conversation appropriately to the human. Adaptation implies computer-generated speech (synthetic speech), such as text-to-speech (TTS). In this paper, we present the results of a study to investigate the effect of voice type (human voice vs. synthetic voice) on two aspects: (1) the IVA’s likeability and voice impression in the light of co-presence, and (2) the interaction outcome, including human–agent trust and behavior change intention. The experiment included 118 participants who interacted with either the virtual advisor with TTS or the virtual advisor with human voice to gain tips for reducing their study stress. Participants in this study found the voice of the virtual advisor with TTS to be more eerie, but they rated both agents, with recorded voice and with TTS, similarly in terms of likeability. They further showed a similar attitude towards both agents in terms of co-presence and building trust. These results challenge previous studies that favor human voice over TTS, and suggest that even if human voice is preferred, TTS can deliver equivalent benefits.
A 12-bit 250 MS/s pipeline ADC with 78 dB SFDR in 0.13-µm CMOS

ABSTRACT A 12-bit 250 MS/s pipeline ADC is presented and implemented in 0.13 µm CMOS process. To reduce the load capacitance of each pipeline stage and save area, the inter-metal capacitors are adopted as input sampling capacitors of the comparators. A fully integrated reference buffer associated with a simulation scheme is proposed to improve the settling speed and PSRR of the differential reference voltage. To reduce the overall power a low cost foreground calibration for capacitor mismatches is employed. The single-stage telescopic with gain-boosting amplifiers and an improved bias is applied in each stage due to its high power efficiency. Additionally, the timing in the sampling phase is optimised to achieve high sampling linearity. Even harmonics induced by parasitic capacitance are analysed profoundly and mitigated at the level of layout. The measured SNDR and SFDR are 63 and 78 dB with 38.1 MHz input, respectively, and remain 63 and 77 dB with Nyquist input. The ADC core area is 1.6 mm2 and consumes 165 mW (reference buffer included, LVDS excluded) at 250 MS/s under 1.3 V.