Miracle-dz/UniFAR-FTUs huggingface dataset:
An Unequal Split Dual Three-Phase PMSM With Extended Torque-Speed Characteristics for Automotive Application

High gradability and wide operating speed range are critical requirements for heavy-duty trucks and off-road electric vehicles. The motor power rating used for such applications can be reduced by selecting a motor with a wide constant power speed range (CPSR). However, permanent magnet synchronous motors (PMSMs) with wide CPSR have limited overloading capability. The operating speed range, as well as the overloading capability, can be improved by increasing the base speed of a low CPSR three-phase PMSM, which results in overdesign. Further, using multigear transmission to achieve a wide operating speed range with a low power motor increases system weight, drivetrain complexity, and maintenance requirement. This article proposes a dual three-phase interior PMSM with an unequal split winding configuration and zero degree winding displacement (uneq0-PMSM) to extend the constant power region and improve the overloading capability without any machine overdesign. The winding split ratio for the proposed configuration is decided to achieve the desired torque-speed characteristic shape for a given requirement. Further, a transition algorithm for smooth changeover between two-winding operation during low-speed and one-winding operation for high-speed is also proposed. The proposed concepts are experimentally validated on a 1.5-kW uneq0-PMSM with 1:3 winding split ratio.
A Steganography Model Data Protection Method Based on Scrambling Encryption

At present, the image steganography method based on CNN has achieved good results. The trained model and its parameters are of great value. Once leaked, the secret image will be exposed. To protect the security of steganographic network model parameters in the transmission process, an idea based on network model parameter scrambling is proposed in this paper. Firstly, the sender trains the steganography network and extraction network, encrypts the extraction network parameters with the key shared by the sender and the receiver, then sends the extraction network and parameters to the receiver through the public channel, and the receiver recovers them with the key after receiving, to achieve more secure secret communication. In this way, even if the network parameters are intercepted by a third party in the transmission process, the interceptor cannot extract the real secret information. In this paper, the classical Joseph algorithm is used as the scrambling algorithm to scramble the extracted network model parameters of the StegoPNet steganography network. The experimental results show that when the scrambled parameters are used for secret image extraction, a meaningless image independent of the secret image is extracted, it shows that this method can well protect the security of steganography network model. At the same time, this method also has good scalability, and can use a variety of different scrambling algorithms to scramble the parameters.
Leadership Expectations of Secondary School Students in the Context of School Principals

In the research, it was aimed to learn the leadership expectations of secondary school students in the context of school principals. In this context, focus group interviews were conducted with sixteen students studying at different grade levels in the research conducted with a phenomenological design, and the data obtained were subjected to content analysis. When the findings were examined, it was seen that the leadership expectations of the students from the school principals were shaped in four sub-themes (behavior, values, skills and abilities, and characteristics). According to the results obtained, students from school principals about leadership; In the behavior sub-theme, they expect the most discipline and valuing ideas, they expect the most fairness, tolerance and understanding in the values sub-theme, they expect the most professional expertise in the skills and abilities sub-theme, and they expect the most compassion and sincerity in the characteristics sub-theme. The results show that the expectations of the students, which are the basic elements of the education process, should be taken into account by the school leaders.
Framework for Railway Phase-based Planning

In the railway field, planning the maintenance and renewal strategy from Life Cycle Cost (LCC) perspective gets more and more attentions recent years. The new approach looks at all the costs through the infrastructure life span and use the annuity (continuing payment with a fixed total annual spending) to evaluate the project alternatives. The comparison result can identify the most cost-efficient solution in a long run and therefore reduce the overall costs. This article defines a phase-based framework to guide the railway maintenance and renewal project planning at strategic level. The framework evaluates the project options from a larger LCC scope: The costs from train operation companies and passengers, together with the maintenance and renewal costs from Infrastructure Managers are included in the calculation. The framework simplifies the planning processes and the LCC calculation into 7 phases. By going through the phases, the project’s key evaluation indicators such as track quality and life time, the LCC annuity, Cash flow and Cumulated NPV curve over years, can be visualized into charts, so that the maintenance and renewal alternative proposals can be easily illustrated and compared. A case study is introduced in the article to demonstrate how the framework works to compare timber sleepers and concrete sleepers from strategic planning level. Two Life Cycle Cost oriented policies are discussed to illustrate: high quality track is necessity to improve the cost efficiency of railway maintenance and renewals.
Electroless Ni–P–B coatings on magnesium alloy AZ91D: influence of nano Al2O3 on corrosion, wear, and hardness behaviour

This study examines the effect of nano Al2O3 additions on the corrosion, wear, and hardness properties of an electroless Ni–P–B protective coating on AZ91D magnesium alloy. In this work, nano alumina particles with a diameter of 40–50 nm and a weight percentage of 1, 2, and 3% were used in an alkaline Ni–P–B electroless bath. The surface morphology of the nano-composite coating was studied by scanning electron microscopy (SEM) and the crystalline structure of the coating was examined by x-ray diffractometer (XRD). The inclusion of alumina nanoparticles, an electroless deposit produces a homogeneous coating on the AZ91D magnesium alloy surfaces. The experimental results show that incorporating 2 wt% alumina nanoparticles into an electroless Ni–P–B coating increases microhardness (986.4-VHN200), specific wear rate (1.2 × 10–10 Kg N−1m−1) and has the lowest average friction coefficient (0.08) when compared to other coated and uncoated samples. Electrochemical polarisation and electrochemical impedance spectroscopic (EIS) tests in 3.5 wt% NaCl solution were used to investigate the corrosion resistance of various nano Al2O3 additive Ni–P–B coatings on Mg alloy surfaces. Potentiodynamic polarisation studies show that 2 wt% of nano Al2O3 incorporation in Ni–P–B coating on magnesium substrates has good corrosion resistance, with the coating resulting in the lowest corrosion rate (icorr = 1.47 × 10–8 A cm−2) and the most positive corrosion potential (Ecorr = 0.55 V).
Coagulation Parameters in Human Immunodeficiency Virus Infected Patients: A Systematic Review and Meta-Analysis

Background Coagulation abnormalities are common complications of human immunodeficiency virus (HIV) infection. Highly active antiretroviral treatment (HAART) decreased the mortality of HIV but increased coagulopathies. HIV-related thrombocytopenia, prolonged prothrombin time (PT), activated partial thromboplastin time (APTT), and high D-dimer level commonly manifested in patients with HIV. Thus, this study is aimed to compare coagulation parameters of HAART-treated and HAART-naïve HIV-infected patients with HIV-seronegative controls. Methods A systematic literature search was conducted using the databases PubMed/MEDLINE, Embase, Web of Science, and Google Scholar of studies published until July 2021. The primary outcome of interest was determining the pooled mean difference of coagulation parameters between HIV-infected patients and seronegative controls. The Joana Briggs Institute (JBI) critical appraisal tool was used for quality appraisal. Statistical analyses were performed using Stata11.0 software. The statistical results were expressed as the effect measured by standardized mean difference (SMD) with their related 95% confidence interval (CI). Results A total of 7,498 participants (1,144 HAART-naïve patients and 2,270 HAART-treated HIV-infected patients and 3,584 HIV-seronegative controls) from 18 studies were included. HIV-infected patients (both on HAART and HAART-naive) exhibited significantly higher levels of PT than HIV-seronegative controls (SMD = 0.66; 95% CI: 0.53–0.80 and SMD = 1.13; 95% CI: 0.60–2.0, respectively). The value of APTT was significantly higher in patients with HIV on HAART than in seronegative controls. However, the values of PLT count, APTT, and fibrinogen level were significantly higher in seronegative controls. Besides, the level of fibrinogen was significantly higher in HAART-treated than treatment-naïve patients (SMD = 0.32; 95%CI: 0.08, 0.57). Moreover, the level of APTT and PT had no statistical difference between HAART and HAART-naïve HIV-infected patients. Conclusions This study identified that HIV-infected patients are more likely to develop coagulation abnormalities than HIV-seronegative controls. Therefore, coagulation parameters should be assessed regularly to prevent and monitor coagulation disorders in HIV-infected patients.
Analysis of the model of interdependence of thermoelement branch geometry and reliability indicators of the single-stage cooler

The effect of the thermoelement branch geometry on the main reliability indicators of the single-stage thermoelectric cooling device for a variety of temperature gradients in the range of practical use of coolers in various operation modes has been considered. To achieve the assigned objective of bettering reliability indicators of thermoelectric coolers, a reliability-oriented model has been developed. The model relates the failure rate and the probability of failure-free operation with the geometry of thermoelement branches, energy indicators and operation conditions. The analysis was performed for a variety of temperature gradients, a fixed tempo load and various modes of operation. Analysis of the developed model has shown the possibility of improvement of the reliability indicators of the single-stage thermoelectric coolers by selection of the thermoelement branch geometry. Analytical relations between the failure rate and the geometry of thermoelements, energy indicators of the coolers have been established. It was shown that the choice of the thermoelement geometry can give more than a two-fold reduction in the failure rate. The developed model which can be used in computer-aided design enables development of single-stage thermoelectric coolers with consideration of restrictive requirements to size, weight, power consumption with a possibility of choice of a compromise design variant
A separation theorem for discrete-time interval temporal logic

Gabbay's separation theorem about linear temporal logic with past has proved to be one of the most useful theoretical results in temporal logic. In this paper, we establish an analogous statement about Moszkowski's discrete-time propositional Interval Temporal Logic ( ) with two sets of expanding modalities, namely the unary neighbourhood modalities and the binary weak inverses of 's chop operator. We prove that separation holds for both with and without its loop construct chop-star.
Adaptation Strategies to Climate Change Along the East Coast of India

The Intergovernmental Panel on Climate Change states that the “Warming in the climate system is unequivocal and since 1950 many changes have been observed throughout the climate system that are unprecedented over decades to millennia. Each of the last three decades has been successively warmer at the Earth’s surface than any preceding decade since1850”. The changing climate resulting in unprecedented monsoon and high intense extreme weather events along the coast of India had created serious effects on the coastal communities. This study is conducted in Lower Vellar basin, Tamil Nadu, India which is vulnerable to floods along the coast witnessing series of cyclones during the north east monsoon and droughts along the plains since the plain region is the tail end of the deltaic zone. The main objectives of the study are to identify the peoples’ perception on climate change and the adaptation strategies by the people in the forest, agricultural and coastal areas of the Lower Vellar Basin to the changing climate. The primary data collection involved the usage of participatory rural appraisal tools like questionnaire, group discussions and key person interviews. The peoples’ perception recorded has shown the change they have felt in the changing climate for the past 15 years. The traditional farmers and fishermen were considered to be the key focal point, since they had witnessed the changing climate over a decade. The factors contributing to the choice of adaptation strategies were analyzed using Multinominal logit modelling to estimate the most influencing factor in the choice of adaptation strategy. Lack of financial support and lack of knowledge on adaptation techniques were the major hindrances to adaptation. This indicates that a people centered development approach at the decentralized level is essential in order to withstand the changing climate and achieve the 2030 sustainable agenda.
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPs

An important problem in many fields dealing with noisy time series, such as psychophysiological single trial data during learning or monitoring treatment effects over time, is detecting a change in the model underlying a time series. Here, we present a new method for detecting a single changepoint in a linear time series regression model, termed residuals permutation-based method (RESPERM). The optimal changepoint in RESPERM maximizes Cohen’s effect size with the parameters estimated by the permutation of residuals in a linear model. RESPERM was compared with the SEGMENTED method, a well-established and recommended method for detecting changepoints, using extensive simulated data sets, varying the amount and distribution characteristics of noise and the location of the change point. In time series with medium to large amounts of noise, the variance of the detected changepoint was consistently smaller for RESPERM than SEGMENTED. Finally, both methods were applied to a sample dataset of single trial amplitudes of the N250 ERP component during face learning. In conclusion, RESPERM appears to be well suited for changepoint detection especially in noisy data, making it the method of choice in neuroscience, medicine and many other fields.
Bioactivities of Mealworm (Alphitobius diaperinus L.) Larvae Hydrolysates Obtained from Artichoke (Cynara scolymus L.) Proteases

Simple Summary Edible insects can provide an alternative and sustainable source of dietary protein to meet the future demand of the growing global population. Therefore, this study analysed the impact of mealworm (Alphitobius diaperinus L.) larvae hydrolysis using artichoke (Cynara scolymus L.) flower’s enzyme extract, on the production of peptide hydrolysates with potential bioactivity. The antioxidant capacity against the 1,1,-diphenil-2-picrylhydrazyl (DPPH) radical and the angiotensin-I-converting enzyme inhibitory activity of the hydrolysates were determined. Furthermore, the identification of the peptide sequences was conducted to detect the potential bioactive peptides in the hydrolysates. The results reveal that the water-soluble extract of artichoke flower could be suitable for producing bioactive peptides from mealworm larvae, and could be incorporated as an ingredient in future functional food products. Abstract In this study, we aimed to obtain hydrolysates with bioactive peptides from mealworm (Alphitobius diaperinus L.) larvae using an artichoke (Cynara scolymus L.) enzyme extract. Two types of substrates were used: the raw larvae flour (LF) and its protein extract (PE). The hydrolysis yield, considering the peptide concentration of the hydrolysates, was higher in PE hydrolysates than in LF hydrolysates (6.39 ± 0.59 vs. 3.02 ± 0.06 mg/mL, respectively). However, LF showed a higher antioxidant activity against the DPPH radical than PE (59.10 ± 1.42 vs. 18.79 ± 0.81 µM Trolox Eq/mg peptides, respectively). Regarding the inhibitory activity of angiotensin-I-converting enzyme (ACE), an IC50 value of 111.33 ± 21.3 µg peptides/mL was observed in the PE. The identification of the peptide sequence of both hydrolysates was conducted, and LF and its PE presented 404 and 116 peptides, respectively, most with low molecular weight (<3 kDa), high percentage of hydrophobic amino acids, and typical characteristics of well-known antioxidant and ACE-inhibitory peptides. Furthermore, the potential bioactivity of the sequences identified was searched in the BIOPEP database. Considering the antioxidant and ACE-inhibitory activities, LF hydrolysates contained a larger number of sequences with potential bioactivity than PE hydrolysates.
Biocompatible Conductive Hydrogels: Applications in the Field of Biomedicine

The impact of COVID-19 has rendered medical technology an important factor to maintain social stability and economic increase, where biomedicine has experienced rapid development and played a crucial part in fighting off the pandemic. Conductive hydrogels (CHs) are three-dimensional (3D) structured gels with excellent electrical conductivity and biocompatibility, which are very suitable for biomedical applications. CHs can mimic innate tissue’s physical, chemical, and biological properties, which allows them to provide environmental conditions and structural stability for cell growth and serve as efficient delivery substrates for bioactive molecules. The customizability of CHs also allows additional functionality to be designed for different requirements in biomedical applications. This review introduces the basic functional characteristics and materials for preparing CHs and elaborates on their synthetic techniques. The development and applications of CHs in the field of biomedicine are highlighted, including regenerative medicine, artificial organs, biosensors, drug delivery systems, and some other application scenarios. Finally, this review discusses the future applications of CHs in the field of biomedicine. In summary, the current design and development of CHs extend their prospects for functioning as an intelligent and complex system in diverse biomedical applications.
Acquisition in a World of Joint Capabilities: Methods for Understanding Cross-Organizational Network Performance

Abstract : Increasingly, government managers are turning to cross-organizational networks for the acquisition and delivery of services. The use of networks is lauded as a means to eliminate service gaps, achieve synergistic benefits, and provide better buying power. Cross organizational networks now support a large number of local, state, and federal level activities (i.e., health care, social services, emergency management, and transportation). It has long been recognized that organizations are susceptible to the vagaries of their environment and that performance is often a function of how well organizations adapt to environmental fluctuations (Ashby, 1954; Holland, 1975). Despite the popularity of networks, little is known about the unique risks they encounter and the susceptibility of cascades. The objectives of this research are to (1) identify the exposure and vulnerability mechanisms that relate to cross-organizational network risk, contagion, and performance; (2) provide managerial recommendations on cross-organizational networks as a form of service delivery; and (3) provide a theoretical framework for conceptualizing cross-organizational networks as a service delivery option. This research models the Major Defense Acquisition Programs (MPADs) as a network of interconnecting programs and employs Contagion Modeling (mixed effects linear regression with a modularity maximization algorithm) as a method for understanding MDAP performance. The presentation will provide the statistical results gained from the contagion modeling and provide insights on risk susceptibility. Understanding the nature of how exposure triggers state changes across networks levels is likely to yield new strategies on how to manage network risk.
Replication of design theories: Reflections on function, outcome, and impact

The replication of existing research studies and theories is considered a foundational pillar of knowledge accumulation and an important instrument of discourse across research disciplines. Although replication has a long tradition in natural and behavioural science research, the design science research (DSR) community is yet to adopt it, especially the replication of design theories. However, it is unclear how the DSR community could benefit from the replication of design theories. Similarly, the goal of design theories is to obtain utility instead of truth raises questions regarding the transferability of replication into the DSR domain. Against this background, this study reflects on the function, outcome, and impact of replications, to understand whether the replication of design theories is possible and necessary. The study proposes that replication can be an important catalyst for reuse and knowledge accumulation in DSR because it provides evidence on the boundaries of design theory. Specifically, replication can increase or decrease the level of confidence and projectability associated with design theory.
Assessing the trans-situational consistency of pro-environmental energy-saving behavior (Evaluación de la consistencia inter-situacional de la conducta proambiental de ahorro energético)

ABSTRACT In this study, we focus on the trans-situational consistency of pro-environmental energy-saving behaviours. More specifically, we study the consistency between home and the workplace. Given the literature, we envisaged that behavioural consistency would be associated with intentional and automatic determinants and with environmental self-identity and the perceived similarity of situations. 195 participants replied to an online questionnaire measuring the determinants of behaviours, the similarity of situations, the environmental self-identity and the frequency of pro-environmental behaviours. The results highlighted the fact that behavioural consistency is predicted both by intentionality and habit. Environmental self-identity moderates the relationship between consistency on the one hand and intentionality and habit on the other. Intentionality determines consistency when the perception of the similarity of situations is low. These results are discussed from the point of view of the practices related to the transmission of pro-environmental behaviours.