Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Adherend Thickness on Near-Field Ultrasonic Welding of Single-Lap CF/LMPAEK Thermoplastic Composite Joints

Ultrasonic welding is a fast and promising joining technique for thermoplastic composite parts. Understanding how changing the part thickness affects the process is crucial to its future upscaling and industrialization. This article presents an initial insight into the effect of the adherend’s thickness on the near-field ultrasonic welding of CF/LMPAEK thermoplastic composites. Different thicknesses of the top and bottom adherend were welded and analyzed using the output data of the welding equipment, temperature measurements, and other visual characterization techniques. Increasing the thickness of both the top and the bottom adherends showed to increase the power consumed during welding. An overshoot in the power needed at the onset of the welding process for increased thickness of the top adherend precluded welding beyond a threshold thickness of 4.72 mm. In the case of the thicker top adherends, there was also melting of the energy director and early fiber squeeze-out within the top adherend as a result of increased bulk heating. Increased bulk heating was hypothesized to be caused by increased hammering, as indicated by the amplitude readings for thicker adherends. Welding with a higher force, which is known to reduce hammering, corroborated this hypothesis as fiber squeeze-out within the top adherend was not observed. It is believed that hammering contributes to heating by causing an oscillatory impact excitation that is close to the natural frequencies of the system, which would result in amplification of the cyclic strain and subsequent increase in the viscoelastic heating in the adherend.
Participatory Development in Indigenous Rural Schools for Adopting IoT in Agrifood

There is a disparity in access to new technologies between urban and rural areas, being more noticeable in indigenous communities. This work shows the participatory development of IoT greenhouses in two rural elementary schools. We developed participatory workshops to involve the school students in co-designing and implementing the technological IoT greenhouses. The topics of the workshops were water, energy, and IoT sensors. The early involvement of the children allows us to create IoT kits composed of wireless sensors and actuators and deploy them into the greenhouses. The resulting kits are commanded via a web server, in which the student can access dashboards with real-time data, including ground temperatures and humidity in different greenhouse sectors, ambient temperature and humidity, command the irrigation, and view the total amount of water used. The resulting outcome has a significant impact in the long term because of the transforming experience for the school students.
New calcareous algae from the Arabian peninsula

"Cylindroporella sugdeni and Cylindroporella arabica n.spp. , Arabicodium aegagrapiloides n.gen., n.sp. , and Polygonella incrustata n.gen., n.sp. , are described as new calcareous algae from the Jurassic and Cretaceous of Arabia. "
Multiplanar Data Augmentation and Lightweight Skip Connection Design for Deep-Learning-Based Abdominal CT Image Segmentation

In recent years, deep-learning-based computed tomography (CT) image segmentation methods show state-of-the-art performance. However, applying deep learning in CT image analysis is challenging because well-annotated medical data are expensive and time-consuming. This article proposes two steps to improve the abdominal CT image segmentation performance on top of the same labeled dataset. The innovations are twofold. First, there are a number of medical image data augmentation methods in the literature, but the volumetric measurement of CT images is not well-emphasized. In this article, a new 2.5-D CT image augmentation analysis is presented to alleviate the aforementioned issue from both the theoretical and experimental perspectives. The theory derived in this article provides a rationale first time in the literature for training a single model using very different CT images. The theory is verified by three 2.5-D CT image augmentation methods and their seven combinations to make full use of the existing dataset. Second, skip connections can greatly affect the performance of encoder–decoder networks, which have shown effectiveness in extracting fine-grained features of target objects. This article redesigns three skip connections, from complex to simple, based on the original TransUNet to extract features of different semantic scales and aggregate them at the decoder for more flexible feature fusion. The results show that a simple skip connection design may achieve better performance. Extensive experiments are conducted to verify the proposed data augmentation and skip connection designs and compare with some selected state-of-the-art methods. Experimental results show that the proposed new lightweight skip connection (LSC) together with the proposed data augmentation methods can greatly improve the performance without increasing the new labeled data.
Transformation of the learning environment for children with special needs

This study is devoted to the consideration of the issue related to the adaptation and adoption of such children in the Russian Federation. The study is based on the questionnaire method. It was attended by 120 parents of children with special needs. The results showed that the majority of respondents are familiar with inclusive education, its principles and goals; 59% of respondents believe that the psychological environment in their school is not good enough for the adaptation of children with special needs. According to 64% of parents, there are also problems with the infrastructure of schools. The minority of parents face the rejection of special needs children by teachers, but the majority face the rejection by their peers. In general, despite all problems and challenges, parents positively assess the idea of their special needs child learning and attending the same classroom side by side with healthy children. According to them, this has a positive effect on the intellectual and mental development of the child. To improve the process, the parents of such children were offered the following recommendations: constant research on the issue, cooperation with other parents of special needs children, attention to children and cooperation with specialists (psychologists and defectologists).
Research on detection and location of tomato axillary bud growth point via lightweight YOLOv3 model

The removal of tomato axillary buds is of great significance for improving fruit yield and quality. In response to the current lack of effective identification and localization of tomato axillary bud growth points, a growth point detection and localization method based on lightweight YOLOv3 is proposed. Improve the traditional YOLOv3 model architecture and introduce the lightweight recognition model MobileNet to replace the YOLOv3 feature extraction network, ensuring detection accuracy while improving detection speed. Replacing some standard convolutions with deep separable convolutions reduces model parameters without compromising network performance. The comparative experimental results show that the average recognition accuracy of the improved YOLOv3 model has been effectively improved, reducing the detection time of each image, and reducing the number of parameters and weight files compared to the original model. This will help to achieve detection and localization of tomato axillary bud growth points on airborne low-performance terminals in the future.
Map Warping for the Annotation of Metro Maps

Schematic transportation maps usually contain little or no detail describing the environment of stations or their embedding in the surrounding area. The annotation of a distorted city map alleviates this deficiency and further improves the usability of schematic transportation maps by merging two different navigational spaces. Schematic maps are designed to preserve stations' relative positions, it seems natural to use these positions for aligning a street-level map with a metro map.
Bacterially Induced Mg-Calcite Formation: Role Of Mg2+ in Development of Crystal Morphology

ABSTRACT The production of several morphologies of magnesian calcite crystals by the soil bacterium Myxococcus xanthus is reported for the first time. Mg-calcite crystallization occurred in agar-agar gel culture media in the presence of the live bacteria. The agar-agar used to solidify the nutritive microbial solution acted as a porous system that allowed slow counterdiffusion of cations and anions and of the bacterial metabolites produced. Under these conditions, crystal nucleation and growth occurs, apparently as a consequence of the localized ion supersaturation produced by the microbial metabolites and by microbial supply of heterogeneous nuclei for crystallization. Several morphologies of Mg-calcite typical of those formed under biotic and abiotic conditions developed simultaneously. The crystals produced were not compositionally zoned and showed no significant variation in Mg content, probably as a consequence of the sponge-like character of the precipitates.
Sexual function and sexual satisfaction in individuals undergoing infertility: A systematic review

Abstract Background Although sexual function (SF) and sexual satisfaction (SS) are the essential factors influenced negatively by infertility and may be associated with delaying or disrupting infertility treatment, no systematic review has assessed the results of these studies so far. Objective The present study aimed to systematically review published interventional research regarding SF and SS among infertile individuals. Materials and Methods In this systematic review, the databases of PubMed, MEDLINE, Web of Science, Scopus, ScienceDirect, Cochrane Library, PsycInfo, Google Scholar, and SID were searched to retrieve the relevant studies in Persian and English languages up to August 2021. Results 23 interventional studies were included in this systematic review, of which only 2 were low quality based on the critical appraisal skills program checklist. The interventions of the included studies were classified into 2 main categories: educational and psychological interventions for increasing the SF and SS among infertile women or couples. Conclusion There was no clear evidence to understand the most effective method for increasing SF and satisfaction among couples with infertility. Based on the results of the included studies, all of them showed the effectiveness of the various interventions performed on sexual health dimensions among couples with infertility. This systematic review showed that most SF studies were educational, whereas the SS were more psychologically interventional. Conducting standardized and high-quality randomized controlled trials focusing on SF and SS is recommended.
Numerical Method for Coil Magnetic Field of Traveling-Wave Tube

The focusing system of traveling wave tube is used to control the electron beam to ensure good pass ability during the whole interaction process. Based on MTSS-MFS, $a$ special simulation permanent magnet focusing system software developed by UESTC, a method for calculating coil magnetic field is studied in this paper. The maximum error of the calculated results is less than 3% and the average error is less than 1% compared with the result calculated by Maxwell, the mainstream industrial software.
Biot number constraints on the thermal regime of acidic magmas in the subvolcanic crust: an integrated approach using numerical modelling and petrology

Abstract Crustal xenoliths are key subvolcanic material for studying processes that operate in a magma dyke during intrusion into its surrounding country rock. The Biot number is the appropriate parameter to advance knowledge of the rock–magma thermal interaction. We present an interactive approach that combines the petrological study of natural subvolcanic samples, through crustal xenoliths, which represents an essential pilot to explore and constrain the input parameters and boundary conditions in numerical simulations of fluid dynamics under a volcano. Our results – as a function of different dyke depths, aspect ratios and temperature gradients at the host and dyke – allow an accurate interpretation of the thermal history of magma flow in the dyke, revealing significant differences in heat transfer and thermal resistance between the crust and ascending magma. Conclusively, melt flow within rigid-walled channels depends directly on the depth (pressure gradient) and width of the dyke according to a balance between the rate of magma input and heat loss that determines how fast the magma may ascend. In addition, and with implications for crustal assimilation, there is evidence of a strong relationship between the preconditioning temperature and the integrity of the host rock over the time that xenoliths are immersed in the magma dyke.
Content-Based Social Network Analysis of Mailing Lists

Bohn, Angela and Feinerer, Ingo and Hornik, Kurt ORCID: https://orcid.org/0000-0003-4198-9911 and Mair, Patrick (2011) Content-Based Social Network Analysis of Mailing Lists. The R Journal, 3 (1). pp. 11-18. ISSN 2073-4859 This version is available at: https://epub.wu. ac.at/5435/ Available in ePubWU: February 2017 ePubWU, the institutional repository of the WU Vienna University of Economics and Business, is provided by the University Library and the IT-Services. The aim is to enable open access to the scholarly output of the WU. This document is the publisher-created published version.
Remote-Sensed Mapping of Sargassum spp. Distribution around Rottnest Island, Western Australia, Using High-Spatial Resolution WorldView-2 Satellite Data

ABSTRACT Hoang, T.C. ; O'Leary, M.J., and Fotedar, R.K. , 2016. Remote-sensed mapping of Sargassum spp. distribution around Rottnest Island, Western Australia, using high-spatial resolution WorldView-2 satellite data. Satellite remote sensing is one of the most efficient techniques for marine habitat studies in shallow coastal waters, especially in clear waters where field observations can be easily carried out. However, such in situ observations have certain limitations: they are time consuming, have a limited ability to capture spatial variability, and require an interdisciplinary approach between marine biologists and remote-sensing specialists. The main objective of this study was to survey and map Sargassum beds around Rottnest Island, Western Australia, through a combination of high spatial resolution WorldView-2 imagery, using a validated depth invariant index model for water-column correction, and in-field observations. The combination of field survey data and four classification methods resulted in highly accurate classification outcomes that showed the distribution patterns of Sargassum spp. around Rottnest Island during the austral spring season (October 2013). Overall, the minimum distance and Mahalanobis classifiers yielded the highest overall accuracy rates of 98.32% (kappa coefficient, κ = 0.96) and 98.30% (κ = 0.96), respectively. The K-means classification method gave the lowest accuracy percentage of 42.50% (κ = 0.22). Thus, the primary results of this study provide useful baseline information that is necessary for marine-conservation strategic planning and the sustainable utilization of brown macroalgae resources around the Western Australian coast.
Neurofeedback strategies in binge-eating disorder as predictors of EEG-neurofeedback regulation success

Introduction Treatment options such as neurofeedback (NF) that directly target the link between aberrant brain activity patterns and dysfunctional eating behaviors in binge-eating disorder (BED) are emerging. However, virtually nothing is known about mental strategies used to modulate food-specific brain activity and the associated brain-based or subjective success of specific strategies. This study firstly investigated the use of mental strategies in response to individually appetitive food cues in adults with BED and overweight or obesity based on a randomized-controlled trial providing electroencephalography (EEG)- or real-time functional near-infrared spectroscopy (rtfNIRS)-NF to BED. Methods Strategy reports written by participants were classified with qualitative content analysis. Additionally, the mental strategies employed by the N = 23 patients who received EEG-NF targeting the reduction of fronto-central high beta activity were analyzed quantitatively through their link with subjective and EEG-NF regulation success. Results The following eight categories, ordered by frequency in descending order, were found: “Behavior,” “Imagination,” “Emotion,” “Distraction,” “Thought,” “Concentration,” “Self-Talk” and “No Strategy. ” Linear mixed models revealed “Imagination,” “Behavior,” and “Thought” strategies as positive predictors of EEG-NF regulation success (defined as high beta activity during regulation beneath the baseline), and “Concentration” as a negative predictor of subjective (i.e., self-reported) NF regulation success. Discussion In conclusion, our study offers a classification system that may be used in future studies assessing strategy use for regulating food-related responses in patients with BED and associated overweight/obesity, providing valuable information on potential benefits of specific strategies and transferability to situations outside the NF treatment.
A Systematic Review of Chinese Students’ Academic Adaptation Overseas

With the economic development and the progress of globalization and internationalization, some Chinese students start to seek overseas study opportunities and China has become the largest exporter of international students since the year 2009. Successfully accomplishing study overseas is a prior task for Chinese students. This review was designed to understand the situation of Chinese overseas students’ academic adaptation, including factors affecting their academic success and related strategies to facilitate their study. Twenty-one empirical studies were identified to meet the criteria and these studies show various factors such as language capacity, pedagogic differences, social support, etc. Related strategies adopted to cope with academic challenges were also revealed.
Use of coal in the Bronze Age in China

People in northern and western China were probably the first in the world to use coal as a source of energy in a consistent way. The ages cluster around 1900–2200 bc in modern day Inner Mongolia and Shanxi provinces. These are areas where near-surface coal is abundant today and woody vegetation was scant in the Bronze Age. Since coal is bulky to transport, it was probably not a cost-effective energy source in areas with abundant wood supply. The sites where coal was first used were probably occupied for a century to a few centuries at most and were associated with Bronze Age societies. The earliest age is about 3490 bc from a house site at Xiahe in Shaanxi Province; however, the coal is not securely tied to the radiocarbon ages and is assumed to have been used at this site sometime after 3490 bc. The elemental composition of modern mine and sedimentary coal in nearby archaeological contexts suggests that coal was used from local sources, and that elemental composition of coal may be a useful tool in identifying site origin of coal.
Optimizing culture conditions of human umbilical cord mesenchymal stem cells (hUC-MSCs) by adjusting the volume of xeno-free supplement serum

Mesenchymal stem cells (MSCs) have become an effective tool for treating immune-related diseases due to their multilineage potential and immunomodulatory capabilities. However, a high cell dose is frequently essential for stem cell infusion in clinical practice. Therefore, it is necessary to produce sufficient quantities of MSCs while ensuring cell quality for clinical application in humans. To be able to use stem cells in patients requires a more rigorous captive procedure than using a xeno-free medium that does not contain substances derived from the hypothetical allergenic regime. Therefore, current cell culture procedures substitute xeno-free culture media with added supplement serum for the traditional DMEM media with bovine fetal serum (FBS). This switch increased the production cost immensely and made it difficult to produce MSCs on an industrial scale. In this study, we optimized the condition of MSCs’ cultures by adjusting the amount of the supplement serum usage to reduce production costs for industrial manufacturing. This is the first study to claim that reducing the amount of xeno-free supplement serum had no effect on the quality of hUC-MSCs isolated from Vietnamese children’s umbilical cords.
Patterns of Circulating Cytokines and Vascular Markers’ Response in the Presence of COVID-19 in Kidney Transplant Recipients Compared with Non-Transplanted Patients

COVID-19’s severity has been associated with a possible imbalance in the cross-regulation of cytokines and vascular mediators. Since the beginning of the pandemic, kidney transplant recipients (KTRs) have been identified as patients of high vulnerability to more severe diseases. Thus, aiming to describe the patterns of cytokines and vascular mediators and to trace patients’ differences according to their KTR status, this prospective study enrolled 67 COVID-19 patients (20 KTRs) and 29 non-COVID-19 controls before vaccination. A panel comprising 17 circulating cytokines and vascular mediators was run on samples collected at different time points. The cytokine and mediator patterns were investigated via principal component analysis (PCA) and correlation-based network (CBN). In both groups, compared to their respective controls, COVID-19 was associated with higher levels of cytokines and vascular mediators. Differentiating between the KTRs and non-KTRs, the number of correlations was much higher in the non-KTRs (44 vs. 14), and the node analysis showed the highest interactions of NGAL and sVCAM-1 in the non-KTRs and KTRs (9 vs. 4), respectively. In the PCA, while the non-KTRs with COVID-19 were differentiated from their controls in their IL-10, IFN-α, and TNF-α, this pattern was marked in the NGAL, sVCAM-1, and IL-8 of the KTRs.
Macro Stress Testing with a Macroeconomic Credit Risk Model for Finland

In the discussion paper, we employ data on industry-specific corporate sector bankruptcies over the time period from 1986 to 2003 and estimate a macroeconomic credit risk model for the Finnish corporate sector.The sample period includes a severe recession with significantly higher-than-average default rates in the early 1990s.The results suggest a significant relationship between corporate sector default rates and key macroeconomic factors including GDP, interest rates and corporate indebtedness.The estimated model is employed to analyse corporate credit risks conditional on current macroeconomic conditions.Furthermore, the paper presents some examples of applying the model to macro stress testing, ie analysing the effects of various adverse macroeconomic events on the banks credit risks stemming from the corporate sector.The results of the stress tests suggest that Finnish corporate sector credit risks are fairly limited in the current macroeconomic environment. Key words: banking, credit risk, stress tests JEL classification numbers: C15, G21, G28, G33