bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation on micro‐mechanism of palm oil as natural ester insulating oil for overheating thermal fault analysis of transformers
Authors: Zheng Hanbo , Li Xufan , Feng Yongji , Yang Hang , Lv Weijie 
Published: December 2021

AbstractIn order to explore the pyrolysis mechanism of palm oil as the natural ester insulating liquid from the molecular aspect, the ReaxFF reactive force field was used to simulate the pyrolysis process of palm oil. Firstly, the molecular models of the four main molecules of palm oil—tripalmitin, trilinolein, triolein, and tristearin—are constructed via density functional theory (DFT). Secondly, the vibrational frequencies of the four molecules are calculated, so as to calculate the infrared (IR) spectra. Thirdly, molecular dynamics (MD) simulations employing the ReaxFF method are performed to simulate the pyrolysis reaction of the palm oil system under different temperatures, so as to observe the generation pathways of major products used in the dissolved gas analysis (DGA) in the transformer thermal fault analysis. Finally, hydrogen bonds in the pyrolysis process are counted. It is found that the number of hydrogen bonds gradually increased with the increase of pyrolysis time and pyrolysis temperature. It reveals why the life of the insulating paper immersed with natural esters is prolonged, and why the breakdown voltage is reduced slowly in the actual experiment from another perspective. This study can provide theoretical guidance and effective reference for the thermal fault analysis of an insulating liquid using palm oil as raw material.
Robust nonlinear control of a quasi‐resonant DC‐DC converter with turn‐on and turn‐off zero current switching
Authors: Esmaeili Ali , Gholizade‐Narm Hossein 
Published: December 2021

AbstractIn this paper, a new robust control strategy is proposed to regulate the output voltage of a quasi‐resonant converter. The proposed approach completely eliminates the switching losses and the electromagnetic interferences due to high current changing rates. The circuit structure is simple and affordable and does not have many auxiliary switches. The regulated output voltage of a buck converter must be robust to input voltage variations. Moreover, the controller must be robust to the circuit parameter uncertainties. In this paper, a new control strategy with nonlinear structure is used with the advantage of robustness, and turn‐on and turn‐off zero current switching. The robustness of the converter to the input voltage variations and the parameter uncertainties is investigated. The new proposed control strategy can be implemented using different controller types. Therefore, a comparison between the proposed nonlinear controller and a conventional PI controller, which is most widely used in practice, is performed. The simulation results show the efficiency and robustness of the proposed method. Finally, the simulation results are verified by the experimental tests.
Deep machine learning with grey wolf algorithm and central deference Kalman filter based broken rotor bars detection in induction motor
Authors: Zaniani Ali Amiri , Nafar Mehdi , Simab Mohsen 
Published: December 2021

AbstractThe present study tries to propose a new method which is using Central deference Kalman Filter (CDKF) as input index of deep machine learning (DML), for simulating state estimation and broken rotor bars (BRBs) diagnosis in induction motors (IMs). In addition, an advanced selective ensemble (DML) method applying the grey wolf optimization (GWO) algorithm to diagnose the BRBs in IMs is proposed in the following study. Here, in the initial step, in order to take sufficient datum within the usual efficiency, it is needed to train the DML network. The outcomes indicate that the offered scheme can more accurately and powerfully detect diverse forms of BRBs with an accuracy of more than 98%. And also, Filter precision is enhanced via changing the sigma points of the filter, however, the stability of the filter enhances more because of its utilization, and the CDKF is further stable and precise in comparison to the Unscented Kalman filter (UKF). The CDKF performance is assessed to estimate the speed and is used as input index of DML to diagnose the broken rotor bar in IMs. The obtained outcomes prove the performance of this combined scheme.
Non-invasive Resolution of Pathological Ovarian Masses with Homeopathic Treatment—A Case Series
Authors: Ramanan Vinitha Edavattath , Radhakrishnan Reshma 
Published: December 2021

Abstract
Background Ovarian masses may be either physiological or pathological. Physiological ovarian masses are non-neoplastic. Pathological masses grow more than 7 cm and persist beyond 3 months; they do not resolve spontaneously, and invasive surgery with removal of reproductive organs is the conventional treatment. It usually results in further co-morbidities and hampers the quality of life of the patient.
Objectives This case series of pathological left ovarian masses demonstrates the role of homeopathic treatment in each of two multiparous women where the right ovary was surgically removed previously for similar pathology and in an adolescent girl with increased tumor marker CA-125.
Methods Three cases of women with pathological ovarian masses in the left ovary, and advised invasive surgery by attending gynecologists, were treated with homeopathic medicines at the outpatient department of the National Homeopathy Research Institute in Mental Health, Kottayam, Kerala, from 2017 to 2020. Each case was followed up with clinical and ultrasonographic evidence and reported according to the criteria set out in the HOM-CASE guidelines.
Result Complete resolution of the ovarian masses was observed in all three cases, evidenced by ultrasonography, with normalizing CA-125 values also observed in the case of endometrial cyst. The patients improved within 4 to 15 months of treatment using Thuja and other individualized homeopathic medicines. The MONARCH score was calculated as +7/13, +9/13, and +9/13 for the three cases, respectively, indicating a positive causal attribution of homeopathy in the resolution of these pathological ovarian masses.
Conclusion This case series suggests that individualized homeopathy, and notably Thuja, can be useful in the treatment of pathological ovarian masses.
Normal Values of Distal Radioulnar Joint Kinematics during a Dynamic Press Test
Authors: Thillemann Janni Kjærgaard , De Raedt Sepp , Petersen Emil Toft , Puhakka Katriina Bøcker , Hansen Torben Bæk , Stilling Maiken 
Published: December 2021

Abstract
Background Measurement of in vivo distal radioulnar joint (DRUJ) pathomechanics during simple activities can represent the disability experienced by patients and may be useful in diagnostics of DRUJ instability. A first step is to describe the physiological normal limits for DRUJ kinematics in a reproducible and precise test setup, which was the aim of this study.
Methods DRUJ kinematics were evaluated in 33 participants with dynamic radiostereometry (RSA) while performing a standardized press test examination. AutoRSA software was used for image analyses. Computed tomography (CT) forearm bone models were generated, and standardized anatomical axes were applied to estimate kinematic outcomes including, DRUJ translation, DRUJ position ratio, and changes in ulnar variance. Repeatability of dynamic RSA press test double examinations was evaluated to estimate the precision and intraclass correlation coefficient (ICC) test–retest agreement.
Results The maximum force during the press test was 6.0 kg (95% confidence interval [CI]: 5.1–6.9), which resulted in 4.7 mm (95% CI: 4.2–5.1) DRUJ translation, DRUJ position ratio of 0.40 (95% CI: 0.33–0.44), and increase in ulnar variance of 1.1 mm (95% CI: 1.0–1.2). The mean maximum DRUJ translation leveled off after a 5 kg force application. The DRUJ translation ICC coefficient was 0.93 within a prediction interval of ± 0.53mm.
Conclusions This clinical study demonstrates the normal values of DRUJ kinematics and reports excellent agreement and high precision of the press tests examination using an automated noninvasive dynamic RSA imaging method based on patient-specific CT bone models. The next step is the application of the method in patients with arthroscopic verified triangular fibrocartilage complex injuries.
Level of Evidence This is a Level IV, case series study.
Acoustic signal characteristics of underwater spark discharge with different electrode configurations
Authors: Qiao Liang , Zhang Xiaobing , Ding Kai , Han Zhen , Yan Bing , Yang Chao , Liu Yang 
Published: December 2021

Acoustic signals generated by underwater spark discharge (UWSD) can be used in a wide range of applications. The characteristics with different electrode configurations need further study for more practical application. The generation mechanism and the main characteristic indices of UWSD acoustic signals were analyzed. The acoustic signal time-frequency characteristics with different electrode gap distances and materials were calculated and compared. The results show that there is an electrode gap distance that maximizes the energy of the acoustic signal, and this gap distance is related to the impedance matching between the discharge channel and the external circuit. The proportion of low-frequency components in the acoustic signal decreases with the increase in the electrode gap distance.
Preparation of mesoporous silica-based nanocomposites with synergistically antibacterial performance from nano-metal (oxide) and polydopamine
Authors: Su Guofeng , Zhong Ximing , Qiu Songfa , Fan Jiajin , Zhou Hongjun , Zhou Xinhua 
Published: December 2021

Abstract
In this work, a novel antibacterial nanocomposite system was developed using mesoporous silica (MSN) as an effective nanocarrier, and the resultant nanocomposites demonstrated remarkable antibacterial performance due to the synergistic effect among nano zinc oxides, silver nanoparticles, and polydopamine (PDA). The successful synthesis of MSN/ZnO@PDA/Ag nanocomposites was confirmed. The physicochemical properties and the morphologies of these nanocomposites were investigated. It was found that the particle size increased along with the evolution of these nanocomposites. Besides, nano zinc oxides were formed in the nanochannels of mesoporous silica with a particle size about 2 nm, and that of silver nanoparticle was less than 50 nm. In addition, the results revealed that the presence of mesoporous silica could effectively prevent the formation of large-size silver nanoparticles and facilitate their well dispersion. Due to the synergistic effect among nano zinc oxides, silver nanoparticles, and polydopamine, these nanocomposites exhibited remarkable antibacterial performance even at a low concentration of 313 ppm, and the antibacterial mechanism was also elucidated. Therefore, this work provides a facile and controllable approach to preparing synergistically antibacterial nanocomposites, and the remarkable antibacterial performance make them suitable for practical applications.
Electrochemical charge storage performance of mesoporous MoO3@Co3O4nanocomposites as electrode materials
Authors: Mohapatra Dillip Kumar , Praharaj Swetapadma , Rout Dibyaranjan 
Published: December 2021

AbstractConstructing a novel nanocomposite structure based on Co3O4is of the current interest to design and develop efficient electrochemical capacitors. The capacitive performance of MoO3@Co3O4nanocomposite is compared with pristine Co3O4nanoparticles, both of them being synthesized by hydrothermal technique. A BET surface area of ∼41 m2g−1(almost twice that of Co3O4) and average pore size of 3.6 nm is found to be suitable for promoting Faradaic reactions in the nanocomposite. Electrochemical measurements conducted on both samples predict capacitive behavior with quasi-reversible redox reactions. MoO3@Co3O4nanocomposite is capable of delivering a superior specific capacitance of 1248 F g−1at 0.5 A g−1along with notable stability of 92% even after 2000 cycles of charge–discharge and Coulombic efficiency approaching 100% at 10 A g−1. The outstanding results obtained in this work assure functional adequacy of MoO3@Co3O4nanocomposite in fabricating high-performance electrochemical capacitors.
Finite element simulation and experimental investigation on the effect of temperature on pseudoelastic behavior of perforated Ni–Ti shape memory alloy strips
Authors: Altas Emre , Khosravi Farshid , Gokkaya Hasan , Arab Maleki Vahid , Akınay Yüksel , Ozdemir Okan , Bayraktar Omer , Kandas Halis 
Published: December 2021

Abstract
In the present study, the temperature-dependent pseudoelastic behavior of shape memory alloy (SMA) sheets is studied experimentally and by finite element (FE) modeling. For this purpose, temperature-dependent mechanical properties for Ni–Ti alloy materials are first obtained by using direct tensile and three-point bending experiments at 23 °C, 50 °C, and 80 °C temperatures, respectively. The structure of these materials is examined at different temperatures using SEM images and the XRD test. Furthermore, using the FE model, the pseudoelastic behavior and the effect of temperature on the residual deflection of the prose-shape memory strips with a circular hole under three-point bending loads are studied. After validating the results of the FE model with the results of experimental tests, the effects of various parameters such as the diameter and number of holes on residual deformation and residual strains are investigated. The results show that with increasing temperature, the mechanical properties including the tensile strength, Young’s modulus, yield stress, and flexural strength of SMA strips increase significantly. For solid strips, although increasing the temperature increases the maximum flexural force, in contrast, it reduces the flexural stiffness. In solid strips, flexural stiffness decreases by 5.5% with increasing temperature from 23 °C to 80 °C.
Circular building with raw earth: a qualitative assessment of two cases in Belgium
Authors: Pelicaen E , Janssens B , Knapen E 
Published: December 2021

Abstract
The built environment puts high pressure on our planet, and a great deal is related to resource extraction, material production and waste generation. In the context of circular construction, buildings must be designed and built in order to keep our natural resources in closed material loops for as long as possible. Raw earth has regained attention in the building industry as an abundant, low-impact and highly recyclable building material. However, little is known and experienced about the implementation of raw earth in circular building design. Therefore, this research offers a better understanding of the circularity of earth architecture by assessing two contemporary Belgian cases. Based on literature, semi-structured interviews and the analysis of technical documents, the circularity of the two cases is qualitatively assessed at different scales and levels. It appears that circularity is highest on the material scale and lowest on the building scale for both cases. It is also found that earth as a building material does not easily fit in existing circular assessment frameworks. This investigation represents a contribution towards the development of design support for circular building with raw earth.
Tectonics of avoidance
Authors: Thomassen M A , Munch-Petersen P 
Published: December 2021

Abstract
This article unfolds as a dialogue between architectural and economics concerns on how a sustainable circular practice can be introduced and upscaled in construction. It will point towards absolute sustainable targets and will be analyze in juxtaposition to the (weak) economic drivers that can get us there (Brejnrod et al., 2017; Eberhardt et al., 2020). First, it is established that sustainable innovation is design strategies that simplify construction in order to avoid environmental impacts tied to building material overuse. These strategies are defined as tectonics of avoidance and consist of two, direct and indirect, approaches to architectural design. Common for both is that as innovation they must be understood more at applied complex knowledge more than a specific product.
In the second part of the article, we discuss how this kind of information (knowledge) can be applied in the economic circumstances that frame construction and architecture today. How it challenges the path-dependency of design methods today and how information and complex knowledge can be ‘sold’ in an ‘open source’ or ‘closed’ approach to the existing marked for construction.
The environmental impact of prefabricated renovation systems: a worthy alternative to on-site renovation?
Authors: Decorte Y , De Meyer S , Steeman M 
Published: December 2021

Abstract
The conventional renovation practices, which are mainly characterized by time-consuming manual on-site techniques, partly contribute to the low renovation rate. Accordingly, a faster and more efficient approach is necessary. The implementation of prefabricated systems could offer a possible solution. These systems are increasingly being studied, but little is known about their environmental impact. Hence, this study investigates the environmental impact by means of Life Cycle Assessment (LCA) of two prefabricated façade renovation systems being a timber frame and a sandwich panel; and compares it to a well-known on-site technique, External Thermal Insulation Composite System (ETICS). First, reference designs are assembled. Subsequently, the impact of different life cycle stages is determined in order to clearly indicate differences between on-site and prefabricated systems. More specifically, the production, transport, replacement and end-of-life stage are assessed. In the end, the environmental impact is examined over time combining all stages. The results show that the prefabricated systems are not yet a worthy ecological opponent to ETICS. As of the production stage, the environmental impact appears to be higher. Optimising the reference systems through an extensive redesign could lead to more competitive or even favourable results in terms of environmental impact.
Policy instruments for circular built environment implementation: A systematic literature review
Authors: Ancapi Felipe Bucci 
Published: December 2021

Abstract
The built environment (BE) is of fundamental importance in the transition towards circular economy (CE), for it concentrates major consuming and polluting human activities. CE in the BE research has rapidly increased in recent years. However, aspects concerning its policy-making and -implementation, governance, and management are acknowledged to be widely over-looked. Such context may jeopardize effective implementation of circular built environments (CBE). In this article, I conduct a systematic literature review to characterize the relation between circular built environments and the policy instruments suggested for its implementation. Results show that only 7% of publications address policy and instruments for CBE implementation. Yet, identified publications seem to cover a wide variety of policy instruments according to prevailing classifications. Finally, operationalized concepts in publications mostly relate to technological aspects of CBE implementation, which calls for increasing research efforts over systemic challenges in governance, and policy integration and coherence.
The Reading the Mind in the Eyes Test, Iowa Gambling Task and Interpersonal Reactivity Index: Normative Data in an Italian Population Sample
Authors: Maddaluno Ottavia , Aiello Edoardo Nicolò , Roncoroni Camilla , Prunas Antonio , Bolognini Nadia 
Published: December 2021

Abstract

Objective
Social cognition and executive deficits are frequent in neurological and neuropsychiatric disorders. Yet, there is a paucity of standardized domain-specific psychometric tools for the assessment of complex decision-making, social cognition (i.e., Theory of Mind), and empathy. To this aim, this study intended at providing normative data in an Italian population sample for the Iowa Gambling Task, the Reading the Mind in the Eyes Test, and the Interpersonal Reactivity Index.

Method
The Iowa Gambling Task, the Reading the Mind in the Eyes Test, and the Interpersonal Reactivity Index were administered to 462 healthy Italian participants aged between 18 and 91 years, considering demographic factors. A confirmatory factor analysis was run to test for unidimensionality. Normative values were derived by means of the Equivalent Scores method.

Results
Education predicted all tests’ scores, age influenced scores at the Interpersonal Reactivity Index and the Reading the Mind in the Eyes Test, gender predicted empathic abilities only. The three tests did not underpin a unidimensional structure.

Conclusions
The present work provides demographically adjusted Italian normative data for a set of tests assessing real-life decision-making, emotion recognition and empathy, filling a gap within II-level, domain-specific, neuropsychological testing. For the first time, the Interpersonal Reactivity Index is proposed as an adjuvant neuropsychological tool, while the standardization of the Iowa Gambling Task offers a new scoring system for advantageous/disadvantageous choices.
Function of hydroxycinnamoyl spermidines in seedling growth of Arabidopsis
Authors: Takahashi Ikuo , Ota Tsuyoshi , Asami Tadao 
Published: December 2021

ABSTRACT
Hydroxycinnamic acid amides are involved in various developmental processes as well as in biotic and abiotic stress responses. Among them, the presence of spermidine derivatives, such as N1,N8-di(coumaroyl)-spermidine and N1,N8-di(sinapoyl)-spermidine, and their biosynthetic genes have been reported in Arabidopsis, but their functions in plants are still unknown. We chemically synthesized the above-mentioned spermidine derivatives to assess their physiological functions in Arabidopsis. We evaluated the growth and development of chemically treated Arabidopsis and demonstrated that these compounds inhibited seed germination, hypocotyl elongation, and primary root growth, which could be due to modulation of plant hormone homeostasis and signaling. The results suggest that these compounds are regulatory metabolites that modulate plant growth and development.
Deep latent space fusion for adaptive representation of heterogeneous multi-omics data
Authors: Zhang Chengming , Chen Yabin , Zeng Tao , Zhang Chuanchao , Chen Luonan 
Published: December 2021

Abstract
The integration of multi-omics data makes it possible to understand complex biological organisms at the system level. Numerous integration approaches have been developed by assuming a common underlying data space. Due to the noise and heterogeneity of biological data, the performance of these approaches is greatly affected. In this work, we propose a novel deep neural network architecture, named Deep Latent Space Fusion (DLSF), which integrates the multi-omics data by learning consistent manifold in the sample latent space for disease subtypes identification. DLSF is built upon a cycle autoencoder with a shared self-expressive layer, which can naturally and adaptively merge nonlinear features at each omics level into one unified sample manifold and produce adaptive representation of heterogeneous samples at the multi-omics level. We have assessed DLSF on various biological and biomedical datasets to validate its effectiveness. DLSF can efficiently and accurately capture the intrinsic manifold of the sample structures or sample clusters compared with other state-of-the-art methods, and DLSF yielded more significant outcomes for biological significance, survival prognosis and clinical relevance in application of cancer study in The Cancer Genome Atlas. Notably, as a deep case study, we determined a new molecular subtype of kidney renal clear cell carcinoma that may benefit immunotherapy in the viewpoint of multi-omics, and we further found potential subtype-specific biomarkers from multiple omics data, which were validated by independent datasets. In addition, we applied DLSF to identify potential therapeutic agents of different molecular subtypes of chronic lymphocytic leukemia, demonstrating the scalability of DLSF in diverse omics data types and application scenarios.