Miracle-dz/UniFAR-FTUs huggingface dataset:
Art therapy research within emergency shelters, military museums, secure care, schools, and communities

It is with great honour that I am writing this editorial in my new role as Editor-in-Chief (EiC) Designate. Following a successful interview with the British Association of Art Therapists, and under the support of our current EiC, Alex McDonald I am committed to taking on the EiC role starting from April 2024. This would not have been possible without Alex’s generosity with her time to support each one of us in the editorial board in order to maintain the success of our journal, and her genuine determination to bring our journal to its highest quality standards it has ever been. I am grateful to Alex for her extraordinary contribution to our journal and for raising the profile of the art therapy profession. My first action as an EiC Designate is the announcement of a special issue call on Nature-based Art Therapy. Alongside guest co-editors Dr Pamela Whitaker and Dr Caroline Hickman, we are inviting original and evidence-informed research, practice, and opinion contributions on natureand outdoor-based art therapy. This special issue is a timely opportunity to explore how nature-based art therapy can contribute to both human and planetary health, (re-)connect us with nature, and facilitate equity of access to the arts, therapy, and nature. Aspects of nature-based art therapy we are particularly keen to develop stronger evidence for include:
In Vitro Cultivation and Ginsenosides Accumulation in Panax ginseng: A Review

The use of in vitro tissue culture for herbal medicines has been recognized as a valuable source of botanical secondary metabolites. The tissue culture of ginseng species is used in the production of bioactive compounds such as phenolics, polysaccharides, and especially ginsenosides, which are utilized in the food, cosmetics, and pharmaceutical industries. This review paper focuses on the in vitro culture of Panax ginseng and accumulation of ginsenosides. In vitro culture has been applied to study organogenesis and biomass culture, and is involved in direct organogenesis for rooting and shooting from explants and in indirect morphogenesis for somatic embryogenesis via the callus, which is a mass of disorganized cells. Biomass production was conducted with different types of tissue cultures, such as adventitious roots, cell suspension, and hairy roots, and subsequently on a large scale in a bioreactor. This review provides the cumulative knowledge of biotechnological methods to increase the ginsenoside resources of P. ginseng. In addition, ginsenosides are summarized at enhanced levels of activity and content with elicitor treatment, together with perspectives of new breeding tools which can be developed in P. ginseng in the future.
On the runoff formation in the small pre-alpine research basin Rietholzbach

Abstract The runoff components of the Rietholzbach catchment in the pre-alpine zone of Switzerland were analysed based on a 15 year record and using a method particularly developed for hydrograph differential analysis. Four different components were separated which characterize storage constants between 300 days and a few hours. A fast component of the direct runoff contributes 42% of the total runoff. This value is rather high in comparison to other catchments, which show a fast component contribution of 12-13 %. In water balance calculations during the winter period, the systematic error of precipitation measurement was determined with an inverse method. A correction factor of 1.74 for snow precipitation was derived, which was of the same magnitude as measure­ments with a weighing lysimeter. INTRODUCTION The quantitative investigation and description of water and solute transport of a catch­ment is meeting various needs for an improved understanding of the hydrological mechanisms. The most important are: flow paths, runoff components, residence time, spatial and temporal aspects of turnover. Schwarze et al. (1991) at TU Dresden took a combination approach successfully analysing runoff components with the DIFGA method and tracer experiments. In this paper the results of the application of DIFGA to the runoff time series of the Rietholzbach catchment are presented and discussed. DIFGA — A short overview DIFGA is based on the hypothesis that the rainfall-runoff process in a small catchment (<300 km
Evolutionary Analysis of the Solar Photovoltaic Products Trade Network in Belt and Road Initiative Countries from an Economic Perspective

Against the backdrop of global energy transition and the imperative for sustainable development, the trade dynamics of solar photovoltaic (PV) products among “Belt and Road Initiative (BRI)” countries gained momentum. This study investigates the evolving trade patterns of PV products within BRI nations, alongside the underlying determinants. The paper constructs and analyzes a solar PV product trade network, elucidating evolutionary trends, structural complexities, and clusters. A novel centrality influence model explores influencing factors across five dimensions. Methodologically, trade data, the “Five Connectivity” framework, and socio-economic indicators from 2001 to 2022 across 65 BRI countries underpin the study. Empirical insights reveal a robust PV product trade network with density exceeding 0.4 and reciprocity surpassing 0.38. China’s rising centrality, reflected in a weighted degree surge from 14.38 to 79.37 since 2011, signifies its consolidation within the network. Results show sustained high density and reciprocity in the PV trade network, signaling robust communication among BRI countries. China’s centrality in the network has consistently grown since 2011. Trade cluster analysis reveals isolated segments predominant, depicting emerging economies with limited photovoltaic exchanges, mainly export-focused. The study highlights the pivotal role of “Five Connectivity” dimensions in promoting PV trade, while financial connectivity’s impact remains modest. The emergence of PV product centers challenges traditional energy hubs, prompting the need for new energy trading paradigms and robust financial hubs.
Roll tracking effects of G-vector tilt and various types of motion washout

In a dogfight scenario, the task was to follow the target's roll angle while suppressing gust disturbances. All subjects adopted the same behavioral strategies in following the target while suppressing the gusts, and the MFP-fitted math model response was generally within one data symbol width. The results include the following: (1) comparisons of full roll motion (both with and without the spurious gravity tilt cue) with the static case. These motion cues help suppress disturbances with little net effect on the visual performance. Tilt cues were clearly used by the pilots but gave only small improvement in tracking errors. (2) The optimum washout (in terms of performance close to real world, similar behavioral parameters, significant motion attenuation (60 percent), and acceptable motion fidelity) was the combined attenuation and first-order washout. (3) Various trends in parameters across the motion conditions were apparent, and are discussed with respect to a comprehensive model for predicting adaptation to various roll motion cues.
Evaluation of a Commercial Device Based on Reflection Spectroscopy as an Alternative to Resonance Raman Spectroscopy in Measuring Skin Carotenoid Levels: Randomized Controlled Trial

Resonance Raman spectroscopy (RRS) has been used as a reference method for measuring skin carotenoid levels (SCL), which indicate vegetable and fruit intake. However, RRS is not an easy-to-use method in SCL measurement due to its complicated implementation. In this study, a commercial spectrophotometer based on reflection spectroscopy (RS), which is relatively simple and inexpensive, was evaluated to confirm usability compared with RRS in measuring SCL. To investigate the agreement between RS and RRS, eighty participants were randomly assigned to a high-carotenoid diet group (21 mg/day of total carotenoids) or a control-carotenoid diet group (14 mg/day of total carotenoids) during a 6-week whole-diet intervention period and a 4-week tracking period. Strong correlations between the RS and RRS methods were observed at baseline (r = 0.944) and the entire period (r = 0.930). The rate of SCL increase was similar during the diet intervention; however, the initiation of the SCL decrease in RS was slower than in RRS during the tracking period. To confirm the agreement of RS and RRS from various perspectives, new visualization tools and indices were additionally applied and confirmed the similar response patterns of the two methods. The results indicate that the proposed RS method could be an alternative to RRS in SCL measurements.
Urinary Continence Recovery after Retzius-Sparing Robot Assisted Radical Prostatectomy and Adjuvant Radiation Therapy

Simple Summary The current study is about Retzius Sparing Robot-Assisted Radical Prostatectomy, a surgical approach deemed capable of improving continence recovery after surgery due to the preservation of the structures surrounding the prostate. Specifically, the association between adjuvant Radiation Therapy and urinary continence after prostatectomy was the topic of interest of the study. Patients with prostate cancer treated at a high-volume European institution were analyzed. Based on the results of the study, Adjuvant Radiation Therapy does not significantly undermine urinary continence recovery. Abstract Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) allows the preservation of the structures advocated to play a crucial role in the continence mechanism. This study aims to evaluate the association between adjuvant radiation therapy (aRT) and urinary continence (UC) recovery after RS-RARP. For the purpose of the current study, all patients submitted to RS-RARP for prostate cancer (PCa) at a single high-volume European institution between January 2010 and December 2021 were identified. Only patients that harbored pT2 stage with positive surgical margins or pT3/pN1 stage with or without positive surgical margins were included in the analyses. Two groups of patients were identified as follows: patients who had undergone aRT and patients submitted to observation (no-aRT patients). As per definition, aRT was delivered within 1–6 months after surgery. After 1:1 propensity score matching, 124 aRT patients were compared with 124 no-aRT patients who continued standard follow-up protocol after surgery. UC recovery was 81 vs. 84% in aRT vs. no-aRT patients (p = 0.7). In multivariable Cox regression analyses, aRT did not reach the independent predictor status for UC recovery at 12 months. In the subgroup analysis including only aRT patients, only the nerve-sparing technique was independently associated with UC recovery at 12 months. Conversely, the type of aRT (IMRT/VMAT vs. 3D-CRT) did not reach the independent predictor status for UC recovery at 12 months. The current study is the first to address the association between aRT and UC recovery in patients treated with RS-RARP for PCa. Based on our data, aRT is not associated with worse UC recovery. In the cohort of patients treated with aRT, the nerve-sparing technique independently predicted UC recovery.
Use of new recombinant proteins for ovarian stimulation in ruminants

Abstract Currently, gonadotropin products (follicle stimulating hormone, FSH, and luteinizing hormone, LH) used in animal reproduction are produced by extraction and purification from abattoir-derived pituitary glands. This method, relying on animal-derived materials, carries the potential risk of hormone contamination and pathogen transmission. Additionally, chorionic gonadotropins are extracted from the blood of pregnant mares (equine chorionic gonadotropin; eCG) or the urine of pregnant women (human chorionic gonadotropin; hCG). However, recent advancements have introduced recombinant gonadotropins for assisted animal reproduction therapies. The traditional use of FSH for superovulation has limitations, including labor requirements and variability in superovulation response, affecting the success of in vivo (SOV) and in vitro (OPU/IVEP) embryo production. FSH treatment for superstimulation before OPU can promote the growth of a homogenous follicular population and the recovery of competent oocytes suitable for IVEP procedures. At present, a single injection of a preparation of long-acting bovine recombinant FSH (rFSH) produced similar superovulation responses resulting in the production of good-quality in vivo and in vitro embryos. Furthermore, the treatment with eCG at FTAI protocol has demonstrated its efficacy in promoting follicular growth, ovulation, and P/AI, mainly in heifers and anestrous cows. Currently, treatment with recombinant glycoproteins with eCG-like activity (r-eCG) have shown promising results in increasing follicular growth, ovulation, and P/AI in cows submitted to P4/E2 -based protocols. Bovine somatotropin (bST) is a naturally occurring hormone found in cows. Recombinant bovine somatotropin (rbST), produced through genetic engineering techniques, has shown potential in enhancing reproductive outcomes in ruminants. Treatment with rbST has been found to improve P/IA, increase donor embryo production, and enhance P/ET in recipients. The use of recombinant hormones allows to produce non-animal-derived products, offering several advantages in assisted reproductive technologies for ruminants. This advancement opens up new possibilities for improving reproductive efficiency and success rates in the field of animal reproduction.
Traceable and Privacy-Preserving Authentication Scheme for Energy Trading in V2G Networks

With the rapid popularization of electric vehicles (EVs) in modern society, vehicle-to-grid (V2G) has been widely concerned as an emerging technology. However, various privacy and security issues arise frequently in the energy interaction between EVs and the smart grid (SG), such as the lack of secure authentication and disclosure of EVs’ identity. Although many crypto-based schemes are proposed to achieve secure authentication of V2G networks, they rely on certificate authority (CA) or private key generator (PKG). In response to this problem, some certificateless signature-based schemes have been proposed. Nevertheless, most of them are not suitable for V2G networks due to the high computational cost and communication overhead, and they do not consider the problem of tracking illegal signatures. Therefore, we propose a traceable and privacy-preserving authentication scheme with supporting batch verification for energy trading in V2G networks. We use the method of binary tree level traversal to quickly track EVs with illegal signatures, which can reduce computational resources. Besides, the proposed scheme is easier to be deployed in real world because of avoiding the problems of key escrow and certificate management. Finally, we conduct a comprehensive security analysis and performance evaluation regarding our scheme. We prove that our proposed scheme is secure under the random oracle model (ROM), and the experimental results illustrate that the proposed scheme has less computational cost and communication overhead as compared to the existing schemes.
Aortic Annulus Detection Based on Deep Learning for Transcatheter Aortic Valve Replacement Using Cardiac Computed Tomography

Background To propose a deep learning architecture for automatically detecting the complex structure of the aortic annulus plane using cardiac computed tomography (CT) for transcatheter aortic valve replacement (TAVR). Methods This study retrospectively reviewed consecutive patients who underwent TAVR between January 2017 and July 2020 at a tertiary medical center. Annulus Detection Permuted AdaIN network (ADPANet) based on a three-dimensional (3D) U-net architecture was developed to detect and localize the aortic annulus plane using cardiac CT. Patients (N = 72) who underwent TAVR between January 2017 and July 2020 at a tertiary medical center were enrolled. Ground truth using a limited dataset was delineated manually by three cardiac radiologists. Training, tuning, and testing sets (70:10:20) were used to build the deep learning model. The performance of ADPANet for detecting the aortic annulus plane was analyzed using the root mean square error (RMSE) and dice similarity coefficient (DSC). Results In this study, the total dataset consisted of 72 selected scans from patients who underwent TAVR. The RMSE and DSC values for the aortic annulus plane using ADPANet were 55.078 ± 35.794 and 0.496 ± 0.217, respectively. Conclusion Our deep learning framework was feasible to detect the 3D complex structure of the aortic annulus plane using cardiac CT for TAVR. The performance of our algorithms was higher than other convolutional neural networks.
Point Cloud Registration With Zero Overlap Rate and Negative Overlap Rate

Low-overlap registration is an important subtask in point cloud registration. In this letter, we focus on two extreme states of low-overlap registration tasks: zero overlap rate and even negative overlap rate point cloud registration. Instead of filtering out non-overlapping regions, overlapping regions are created before registration to deal with the registration tasks with no overlapping regions. Specifically, a novel generative network called Regiffusion is developed on the basis of a diffusion model to predict the shape of the object after registration based on the shapes of the source and target point clouds; the complete object shape, including those of the source point cloud, is accurately predicted before registration and treated as the new target point cloud. This approach effectively creates overlapping regions between the source and target point clouds. We evaluate the developed method on the self-constructed zero-overlap dataset Pokemon-Zero, negative overlap dataset Pokemon-Neg, and the publicly available dataset ModelNet40, indoor datasets 3DMatch. Experimental results demonstrate that the presented method not only performs very welll on zero-overlap and negative overlap datasets, but also improves the registration performance on low-overlap datasets.
Analyzing the Influence of Social Media Influencer’s Attributes and Content Esthetics on Endorsed Brand Attitude and Brand-Link Click Behavior: The Mediating Role of Brand Content Engagement

Abstract Brand communication via social media influencers (SMIs) has become a vital constituent of firms’ brand communication strategy. The current study assesses the mediated (via brand content engagement) and direct influence of SMI attributes and brand content esthetics on followers’ attitude toward the endorsed brand and brand-link click behavior. The current study analyzed the data from an online survey of 300 followers of the top 40 Instafamous Pakistani SMIs to test the model and hypotheses. The results show that brand content engagement mediates between SMI attributes (i.e. trustworthiness, expertise, and similarity), brand content esthetics, and followers’ attitude toward the endorsed brand. SMI’s credibility directly influences followers’ attitude toward the endorsed brand. Furthermore, brand content engagement has an attitudinal and direct influence on followers’ brand-link click behavior. These findings will help practitioners understand how SMI and SMI-generated brand content influence followers’ brand-link click behavior.
Spectrally and Repetition Rate Tunable Femtosecond Fiber Laser for Two-Photon Biomedical Imaging Applications

The current extremely rapid development of biomedical imaging techniques, such as OCT and multiphoton microscopy, requires the development of light sources with very sophisticated parameters. We present a femtosecond laser emitting at the borderline of visible and near-infrared range (760–800 nm). The intended application is in two-photon excited fluorescence microscopy, in which a fluorophore simultaneously absorbs two photons from the excitation beam. Compared to traditional (single-photon) fluorescence microscopy, the two-photon variant allows deeper penetration into imaged tissue, lower phototoxicity, and guarantees confocality (without the need for an aperture) [1]. This technique makes it possible to image, for example, the retina of the eye [2]. The laser we propose is an all-fiber-based solution that is an alternative to the titanium-sapphire lasers currently in use, offering compactness so that it can be easily integrated into existing devices (such as microscopes or ophthalmoscopes).
Spatial variation of corn canopy temperature as dependent upon soil texture and crop rooting characteristics

A soil plant atmosphere model for corn (Zea mays L.) together with the scaling theory for soil hydraulic heterogeneity are used to study the sensitivity of spatial variation of canopy temperature to field averaged soil texture and crop rooting characteristics. The soil plant atmosphere model explicitly solves a continuity equation for water flux resulting from root water uptake, changes in plant water storage and transpirational flux. Dynamical equations for root zone soil water potential and the plant water storage models the progressive drying of soil, and day time dehydration and night time hydration of the crop. The statistic of scaling parameter which describes the spatial variation of soil hydraulic conductivity and matric potential is assumed to be independent of soil texture class. The field averaged soil hydraulic characteristics are chosen to be representative of loamy sand and clay loam soils. Two rooting characteristics are chosen, one shallow and the other deep rooted. The simulation shows that the range of canopy temperatures in the clayey soil is less than 1K, but for the sandy soil the range is about 2.5 and 5.0 K, respectively, for the shallow and deep rooted crops.
The Influence of Aging Population in Rural Families on Farmers’ Willingness to Withdraw from Homesteads in Shenyang, Liaoning Province, China

Population aging presents a significant global challenge. In China, the aging of the rural population coincides with inefficient rural homestead utilization. While the Chinese government has enacted policies to address this, their impact remains limited. Utilizing survey data from 403 rural families in Shenyang, Liaoning Province, China, this study applies the binary Logit and mediating effect models to analyze the impact of rural family population aging on farmers’ willingness to withdraw from homesteads with compensation and their compensation preference. Key findings include: (1) Family population aging intensifies farmers’ willingness to withdraw from homesteads, with a stronger preference for non-monetary compensation as aging increases. (2) Regarding the willingness to withdraw with compensation, farmers’ cognition of homestead security value masks the effect by 4.71%, while asset value cognition has no mediating effect. (3) With regard to promoting non-monetary compensation choices, farmers’ homestead asset value cognition fully mediates at 16.01%, but security value cognition is without mediating effect. Based on these findings, it is recommended that the government crafts tailored homestead withdrawal policies considering farmers’ family age structure. Further, efforts should aim at refining farmers’ understanding of homestead values, promoting a blend of non-monetary and monetary compensations.