Miracle-dz/UniFAR-FTUs huggingface dataset:
Substrate Coating Produced via Additive Manufacturing with Conducting Polymers: Assessment in The Development of Electrodes

The production of conductive and organic devices from a 3D printer represents a promising strategy for several areas. In particular, the synthesis of polypyrrole-coated acrylonitrile butadiene styrene (ABS) composites can be considered an important step to produce conductive supports for 3D printing. Herein, it is reported the production of ABS samples through the additive manufacturing process (3D printing) accordingly to the Fused Deposition Modeling (FDM) method. The hydrophilic behavior was controlled by the surface treatment using air plasma for the following step of coating with polypyrrole (PPy) via an in situ polymerization, using two different oxidants: ferric chloride (FeCl 3 .6H 2 O) and ammonium persulfate (APS). The chemical, optical, surface, and electrical properties of these materials were characterized through Fourier Transform infrared spectroscopy (FTIR), contact angle measurements, cyclic voltammetry, Scanning Electron Microscopy (SEM), 4-probe electrical measurement, and mechanical tensile testing. The ABS/PPy (FeCl 3 ) composite exhibited a low electrical contact resistance and better performance for applications that require electrodes with a good conductance level.
Artificial Intelligence Algorithm in Intelligent Power Supply and Distribution Network Design System

Distribution network design System design is a complex work, including the design of high-voltage distribution systems, low-voltage distribution systems and substations, requiring analysis calculations and a large number of drawings. The purpose of this paper is based on the application research in intelligent power supply and distribution network design system. First, the theory of transformer economic operation and the division method of economic operation interval are discussed. The overall design scheme and PLC programming software and MATLAB programming software of the economical operation system of the power distribution system are proposed. The database software and configuration software, model selection, and main operations performed are described in detail. The economical operation control scheme of transformer based on load forecasting is given. Based on the above control strategy for economical operation of transformers, a simulation experiment platform for economical operation of power supply and distribution systems is established. The experimental results of overcurrent protection show that the time from fault state 2 to the relay protection controller receiving the shutdown signal is 33.46 ms. According to the waveform log analysis, the time from the moment of current sudden change to the detection of overcurrent protection is 4.86ms.
Effects and mechanisms of cold atmospheric plasma on skin wound healing of rats

Cold atmospheric plasma (CAP) has been reported as a novel potential way to promote skin wound healing. The aim of this study was to explore the effects of an atmospheric‐pressure plasma generated in helium gas through dielectric barrier discharge on skin wound healing in rats and its mechanism. A total of 44 adult male Sprague–Dawley rats were divided into the CAP group and the control group after a full‐thickness skin wound model was established. The animals in the CAP group received CAP treatment (driving frequency 17 kHz, root‐mean‐square [rms] values of the discharge voltage 1.33 kV, rms values of the discharge current 10.7 mA, helium flow rate 11 slpm [standard litres per minute]) for 1 min. After that, the size of the healed area of the wound, morphological changes in the wound, wound neovascularization, collagen deposition, and the level of inflammatory factors were recorded. The results showed that compared to that of the control group, the size of the wound area in the CAP group significantly decreased, the contraction and re‐epithelialization of the wounds were obviously speeded up, and the protein level of smooth muscle actin markedly increased. However, the levels of collagen type I A2, collagen type III, and the deposition of collagen bundles did not change. In addition, it was found that the level of inflammatory factors (such as tumour necrosis factor and interleukin‐1β) significantly increased at 24 hr after the creation of the wound. These results suggest that CAP treatment in this condition could promote skin wound healing by accelerating the contraction, re‐epithelialization, neovascularization, and inflammatory response.
Addiction phobia: Foucault, abstract governance, and the fascination with materiality in contemporary critical studies of addiction

ABSTRACT This article explores how the field of critical addiction studies – which can be traced back to the late twentieth century – has used Foucauldian social theory on governance to challenge dominant biomedical and moralistic models of addiction and to account for the ways in which addiction discourse and practice reproduce purifying, essentialist and singular assumptions about behaviour, bodies and desire. Starting from Foucault’s late critique of the neoliberalist phobia of the state, and Dean and Villadsen’s subsequent analysis of how this phobia ironically appears to haunt Foucauldian as well as other versions of poststructuralist social theory, the article asks whether a similar phobic tendency can be identified in Foucauldian accounts of addiction, although in this case directed towards addiction as a discursive centre. Analysing accounts of addiction provided by several critical addiction scholars, the article investigates how this more general tendency in relation to Foucauldian and poststructuralist theory is enacted in and structures a number of key points in contemporary critiques of addiction. Through detailed analyses of how critics have framed addiction as governmentality and an epidemics of the will, related addiction to habit, dealt with tensions within the discourse of addiction, raised issues of materiality, and aligned themselves with the heterogeneity of bodies, behaviours, and desires, the article claims that the field of critical addiction studies reduces addiction to abstract governance and avoids seriously engaging with the structure and dynamics of addiction from a decentred social theoretical perspective.
Development and validation of a quality assessment tool to assess online nutrition information

Setting The internet is an important source of health information but is unregulated. Little research has focused on the assessment of digital information related to nutrition. Aim To develop and validate a novel online quality assessment tool (OQAT) for quality assessment of online nutrition information. Method The OQAT was developed and validated in six distinct stages. After reviewing the literature, a framework and criteria were developed and formalised. Next, the quality assessment criteria were piloted on a subset of data and criteria refined. The established criteria were then validated against a previously validated assessment tool, and reliability was tested. Finally, the validated OQAT was used to assess the quality of articles from a 24-h collection period, 19 April 2021. Results The final OQAT consisted of 10 key questions. Twenty-six news articles were assessed independently by two raters. Comparison of scores found moderate internal consistency (α = 0.382). Cohen's Kappa coefficient demonstrated high interrater agreement (k = 0.653, p < 0.001). The OQAT was tested on 291 relevant Uniform Resource Locators (URLs), which were determined to be either poor 3% (n = 9), satisfactory 49% (n = 144), or high-quality 48% (n = 139) articles. There was a statistically significant difference in OQAT scores between blogs, news articles, and press releases, χ2(2) = 23.22, p < 0.001, with a mean rank OQAT score of 138.2 for blogs, 216.6 for news articles, and 188.7 for press releases. Conclusion This novel tool provides a reliable and objective method for assessing the quality of nutrition content online. It could potentially be used by researchers to assess the quality of online information in different settings and by organisations to inform readers of the quality of information being accessed.
Computational Fluid Dynamic Optimization and Design for the Airborne Laser System

The Airborne Laser (ABL) was designed to destroy any ballistic missile shortly after launch that could be a threat to the United States and its allies. The ABL uses several lasers to accomplish the destruction of the ballistic missile, most notably the high powered Chemical Oxygen Iodine Laser (COIL). The COIL is a complex device that could be improved upon in several areas that will result in overall weight reduction, refinement of beam quality, and increased magazine capacity. This dissertation presents novel design and optimization techniques coupled with fluid dynamics to improve the performance of the COIL system. The focus was on two components of the COIL system: the iodine mixing nozzle and the pressure recovery system. Improvements to the iodine mixing nozzle were made in terms of mixing efficiency, gain uniformity, and flow uniformity. These improvements result in a power increase per module, which in turn reduces the overall number of modules required to shoot down a missile. The use of fewer modules significantly reduces the weight of the entire system. Additionally, investigations into the pressure recovery system led to further reduction in weight. New designs increased the mixing of the flows, which improved the pressure recovery and entrainment ratios. Focusing on the ABL application, the required pressure recovery needed for operation could be achieved with lower flow rates, and thus, less fluid is needed onboard.
Inhibition of caspase-1-dependent apoptosis suppresses peste des petits ruminants virus replication

Background Peste des petits ruminants (PPR), caused by the PPR virus (PPRV), is an acute and fatal contagious disease that mainly infects goats, sheep, and other artiodactyls. Peripheral blood mononuclear cells (PBMCs) are considered the primary innate immune cells. Objectives PBMCs derived from goats were infected with PPRV and analyzed to detect the relationship between PPRV replication and apoptosis or the inflammatory response. Methods Quantitative real-time polymerase chain reaction was used to identify PPRV replication and cytokines expression. Flow cytometry was conducted to detect apoptosis and the differentiation of CD4+ and CD8+ T cells after PPRV infection. Results PPRV stimulated the differentiation of CD4+ and CD8+ T cells. In addition, PPRV induced apoptosis in goat PBMCs. Furthermore, apoptosis and the inflammatory response induced by PPRV could be suppressed by Z-VAD-FMK and Z-YVAD-FMK, respectively. Moreover, the virus titer of PPRV was attenuated by inhibiting caspase-1-dependent apoptosis and inflammation. Conclusions This study showed that apoptosis and the inflammatory response play an essential role in PPR viral replication in vitro, providing a new mechanism related to the cell host response.
R-Spondin-1 Level in Different Dermatoses: A Comprehensive Review

Background: R-Spondin-1 is a protein involved in cellular signaling pathways that play crucial roles in skin homeostasis, development, and regeneration. Dysregulation of R-Spondin-1 levels has been observed in various dermatological conditions, including inflammatory disorders, skin cancers, and hair disorders. Understanding the role of R-Spondin-1 in these conditions may provide insights into their pathogenesis and potential therapeutic targets. Objectives: This article aims to demonstrate the role of R-Spondin-1 protein in different dermatosis conditions. It aims to examine its physiological function, explore its dysregulation mechanisms, review its diagnostic potential and also investigate therapeutic implications. Conclusions: R-Spondin-1 emerges as a promising molecule with multifaceted roles in dermatological conditions. Its altered expression levels and signaling pathways provide diagnostic and prognostic insights in skin disorders, such as psoriasis, atopic dermatitis, basal cell carcinoma, squamous cell carcinoma, and melanoma. Furthermore, targeting R-Spondin-1 signaling holds therapeutic potential for the development of novel interventions in these dermatoses.
Massive MIMO NOMA: Double-Mode Model towards Green 5G Networks

With the development of the Internet of Things (IoT), the number of devices will also increase tremendously. However, we need more wireless communication resources. It has been shown in the literature that non-orthogonal multiple access (NOMA) offers high multiplexing gains due to the simultaneous transfer of signals, and massive multiple-input–multiple-outputs (mMIMOs) offer high spectrum efficiency due to the high antenna gain and high multiplexing gains. Therefore, a downlink mMIMO NOMA cooperative system is considered in this paper. The users at the cell edge in 5G cellular system generally suffer from poor signal quality as they are far away from the BS and expend high battery power to decode the signals superimposed through NOMA. Thus, this paper uses a cooperative relay system and proposes the mMIMO NOMA double-mode model to reduce battery expenditure and increase the cell edge user’s energy efficiency and sum rate. In the mMIMO NOMA double-mode model, two modes of operation are defined. Depending on the relay’s battery level, these modes are chosen to utilize the system’s energy efficiency. Comprehensive numerical results show the improvement in the proposed system’s average sum rate and average energy efficiency compared with a conventional system. In a cooperative NOMA system, the base station (BS) transmits a signal to a relay, and the relay forwards the signal to a cluster of users. This cluster formation depends on the user positions and geographical restrictions concerning the relay equipment. Therefore, it is vital to form user clusters for efficient and simultaneous transmission. This paper also presents a novel method for efficient cluster formation.
The plasmasphere extension of Earth's atmosphere: a perspective from the Van Allen probes

Earth’s plasmasphere persists as an extension of the ionosphere into space. The toroidal region of plasma is shaped by electric and magnetic forces in the terrestrial magnetosphere. As a dense population of cold plasma, the plasmasphere interacts with particles in the hot ring current and energetic radiation belts. Evolution of plasmaspheric density under the driving influence of the solar wind crosses many physical scales. Convective erosion during geomagnetic storms occurs on the order of hours, reducing the size of the plasmasphere by forming an abrupt plasmapause density gradient that varies in radial and diurnal location. The history of geomagntic activity determines the presence of morphological structures as small as notches and as large as plumes. Plasma of atmospheric origin is carried sunward by convection through drainage plumes towards the magnetopause where it can diminish the effectiveness of magnetic reconnection. Long-lived plumes are sustained by a higher rate of refilling than typically observed during plasmasphere recovery from geomagnetic disturbances. The response of the plasmasphere, then, is an integral part of the feedback cycle between the magnetosphere and ionosphere in the exchange of energy and particles. This thesis aims to address three questions concerning the nature of the plasmasphere through the development of empirical and physics-based models under recent observations provided by the Van Allen Probes (RBSP-A & -B). First, what is the distribution of density content in the plasmasphere? For a two year period with full MLT coverage by RBSP, the upper-hybrid resonance frequency in plasma wave spectra is used to identify sudden changes consistent with the plasmapause feature and to calculate the magnetic equatorial electron density. Plasmapause encounter radial locations for both spacecraft are correlated with a geomagnetic activity index showing significant scatter around a linear fit. On average, the predicted plasmapause location does
Machine Motion Trajectory Detection Based on Siamese Graph-Attention Adaptive Network

There are many demands for motion trajectory detection of machines in intelligent manufacturing. The existing detection methods may lead to errors or loss of target motion trajectory. An anti-interference machine motion trajectory detection method based on the Siamese graph-attention adaptive network (SiamGAAN) is proposed in this article. A graph attention-based feature matching method is proposed in the feature extraction network of SiamGAAN, which transfers the template feature information to the search feature instead of the traditional cross correlation method. The regression network based on an adaptive anchor-free mechanism can directly predict the distance between the sampling points and the boundary of the target region. A quality determination-based index is proposed in the classification network to improve the accuracy of the target box. SiamGAAN can continuously detect the motion and collect the tracking information of machines in the complex environment of the workshop. SiamGAAN can achieve a 1.5% accuracy rate and 1.9% tracking success rate improvement compared with those typical methods on the benchmark data, i.e., OTB2015. A tracking success rate of 90.58% is achieved in the robotic arm’s motion trajectory that simulates the workshop’s real operation.
Epidemiology of Clinically Significant Aspergillus Species from a Large Tertiary Hospital in Shanghai, China, for the Period of Two Years

Background Aspergillus species are becoming a major public health concern worldwide due to the increase in the incidence of aspergillosis and emergence of antifungal resistance. In this study, we surveyed all Aspergillus species isolated from aspergillosis patients in Zhongshan Hospital Fudan University, Shanghai, China, from 2019 to 2021. Methods We characterized the susceptibility profiles of these Aspergillus species to medical azoles (voriconazole, itraconazole and posaconazole) using YeastOneTM broth microdilution system. To determine the underlying antifungal resistance mechanisms in azole-resistant A. fumigatus (ARAf) isolates, we characterized mutations in the cyp51A gene. Genotypic diversity of sampled A. fumigatus was investigated using CSP-typing. Results A total of 112 Aspergillus isolates (81 A. fumigatus, 17 A. flavus, 5 A. niger, 2 A. terreus, 2 A. lentulus, 2 A. oryzae, 1 A. nidulans, 1 A. versicolor and 1 A. sydowii) from 105 patients diagnosed with aspergillosis (including proven or probable invasive aspergillosis, chronic pulmonary aspergillosis, allergic bronchopulmonary aspergillosis and cutaneous aspergillosis) were obtained. Eight isolates (7 A. fumigatus and 1 A. niger) from seven patients were either azole non-susceptible or non-wild type. Azole non-susceptible or non-wild type rate was 7.1%/isolate and 6.7%/patient analysed. Four ARAf harbored TR34/L98H mutation, whereas one carried TR46/Y121F/T289A allele. The 81 A. fumigatus isolates were spread across 8 CSP types with t01 to be the predominant type (53.1%). ARAf isolates were distributed over CSP types t01, t02, t04A and t11. Conclusion Results from this study provided us with an understanding of the antifungal resistance and related characteristics of Aspergillus species in Eastern China. Further comparisons of our results with those in other countries reflect potential clonal expansion of A. fumigatus in our region. Further surveillance study is warranted to guide antifungal therapy and for epidemiological purposes.
Mitophagy: A Bridge Linking HMGB1 and Parkinson’s Disease Using Adult Zebrafish as a Model Organism

High-mobility group box 1 (HMGB1) has been implicated as a key player in two critical factors of Parkinson’s disease (PD): mitochondrial dysfunction and neuroinflammation. However, the specific role of HMGB1 in PD remains elusive. We investigated the effect of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) administration on mitochondrial dysfunction and HMGB1-associated inflammatory genes as well as locomotor activity in zebrafish, aiming to elucidate the role of HMGB1 in PD. Adult zebrafish received MPTP injections, and locomotor activity was measured at 24- and 48-h post-administration. Gene expression levels related to mitophagy (fis1, pink1, and park2) and HMGB1-mediated inflammation (hmgb1, tlr4, and nfkb) were quantified through RT-qPCR analysis. Following MPTP injection, the significant increase in transcript levels of fis1, pink1, and park2 indicated notable changes in PINK1/Parkin mitophagy, while the upregulation of hmgb1, tlr4, and nfkb genes pointed to the activation of the HMGB1/TLR4/NFκB inflammatory pathway. Furthermore, MPTP-injected zebrafish exhibited decreased locomotor activity, evident through reduced distance travelled, mean speed, and increased freezing durations. HMGB1 plays a major role in cellular processes as it is involved in both the mitophagy process and functions as a pro-inflammatory protein. MPTP administration in adult zebrafish activated mitophagy and inflammatory signaling, highlighting the significant role of HMGB1 as a mediator in both processes and further emphasizing its significant contribution to PD pathogenesis.
Development of knee exoskeleton for capturing energy from human knee motion

Abstract In this paper, the design and experimental validation of a knee exoskeleton are presented. The exoskeleton can capture the negative work from the wearer’s knee motion while decreasing the muscle activities of the wearer. First, the human knee biomechanics during the normal walking is described. Then, the design of the exoskeleton is presented. The exoskeleton mainly includes a left one-way transmission mechanism, a right one-way transmission mechanism, and a front transmission mechanism. The left and right one-way transmission mechanisms are designed to capture the negative work from the wearer’s knee motion in the stance and swing phases, respectively. The front transmission mechanism is designed to transform the bidirectional rotation of the wearer’s knee joint into the generator unidirectional rotation. Additionally, the modeling and analysis of the energy harvesting of the exoskeleton is described. Finally, walking experiments are performed to validate the effectiveness of the proposed knee exoskeleton. The testing results verify that the developed knee exoskeleton can output a maximum power of 5.68 ± 0.23 W and an average power of 1.45 ± 0.13 W at a speed of 4.5 km/h in a gait cycle. The average rectus femoris and semitendinosus activities of the wearers in a gait cycle are decreased by 3.68% and 3.40%, respectively.
A model of cultural intelligence based on knowledge management practices and military intelligence: A comparative study between Moldova and Ukraine

The purpose of this paper is to demonstrate that the development of Cultural Intelligence - CI through Knowledge Management - KM practices leads to Military Intelligence – MI (prediction, strategy and action). The model of CI based on KM practices and MI - CIKMMI, if applied successful, has potential to receive the United Nations Public Service Awards (UNPSA). The degree of the impact of Cultural Intelligence and Knowledge Management on Military Intelligence depends on the model of the Public Administration. Therefore this article suggests the shift from the New Public Management – NPM that leads to corruption to the New Public Service, based on Social Participation and Social Control. The nomological validity shows the evidence that the structural relationships among constructs, investigated through Structural Equation Modeling and interviews, is consistent with other studies. This work concludes that the CIKMMI model is useful to identify how the learning by comparison with other values, believes and assumptions (CI) and use of KM Practices leads to the effectiveness of MI.