Miracle-dz/UniFAR-FTUs huggingface dataset:
S-N curve movement-based life analytical model

The residual strength of materials was measured by fatigue loading experiments under various stresses, and a residual strength curve was fitted according to the test data. In the common case of expression of the SN curve with logarithmic linear or double logarithmic linear equations, two points on the residual SN curve can be determined by the residual strength function and the succeeding loading parameters, therefore the SN curve can be determined. The SN curve displacement method was developed based on the translation and rotation of the SN curve around the succeeding loading point. The research shows that the life analytical model well reflects the loading sequence effect, and that two and threestage loading experimental results are well consistent with the predicted results, indicating that the life prediction model is basically accordant with the reality.
High Occurrence of Zoonotic Subtypes of Cryptosporidium parvum in Cypriot Dairy Farms

Cryptosporidium parvum is one of the major causes of neonatal calf diarrhoea resulting in reduced farm productivity and compromised animal welfare worldwide. Livestock act as a major reservoir of this parasite, which can be transmitted to humans directly and/or indirectly, posing a public health risk. Research reports on the prevalence of Cryptosporidium in ruminants from east Mediterranean countries, including Cyprus, are limited. This study is the first to explore the occurrence of Cryptosporidium spp. in cattle up to 24 months old on the island of Cyprus. A total of 242 faecal samples were collected from 10 dairy cattle farms in Cyprus, all of which were screened for Cryptosporidium spp. using nested-PCR amplification targeting the small subunit of the ribosomal RNA (18S rRNA) gene. The 60 kDa glycoprotein (gp60) gene was also sequenced for the samples identified as Cryptosporidium parvum-positive to determine the subtypes present. The occurrence of Cryptosporidium was 43.8% (106/242) with at least one positive isolate in each farm sampled. Cryptosporidium bovis, Cryptosporidium ryanae and C. parvum were the only species identified, while the prevalence per farm ranged from 20–64%. Amongst these, the latter was the predominant species, representing 51.8% of all positive samples, followed by C. bovis (21.7%) and C. ryanae (31.1%). Five C. parvum subtypes were identified, four of which are zoonotic—IIaA14G1R1, IIaA15G1R1, IIaA15G2R1 and IIaA18G2R1. IIaA14G1R1 was the most abundant, representing 48.2% of all C. parvum positive samples, and was also the most widespread. This is the first report of zoonotic subtypes of C. parvum circulating in Cyprus. These results highlight the need for further research into the parasite focusing on its diversity, prevalence, host range and transmission dynamics on the island.
Water Resource Availability Assessment Through Hydrological Simulation Under Climate Change in the Huangshui Watershed of the Qinghai–Tibet Plateau

The related dynamic change in meteorological and hydrological parameters is critical for available water resources, development management options, and making informed decisions. In this study, to enhance the resolution of the predicted meteorological and hydrological parameters under climate change, the statistical downscaling method (SDSM), the generalized regression neural network (GRNN) model, the Soil and Water Assessment Tool (SWAT) model, and the improved Tennant method were integrated into a framework. The available water resources were assessed in the Huangshui watershed of the Qinghai–Tibet Plateau, which has the highest average elevation in the world. The meteorological parameters were obtained by the SDSM model and the GRNN model. The SWAT model used the meteorological parameters to simulate the hydrological data under climate change scenarios. Considering the meteorological conditions and the high sediment content in the basin, the available water resources are evaluated by the improved Tennant method. The meteorological data of the Xining station from 1958 to 2011 were used to analyze the dynamic changes and mutation trends in the data. The results indicated that the precipitation would have a great increase during the wet season from May to September, and the flows and available water resources would decrease with increasing carbon emissions under different representative concentration pathways (RCPs).
Prognostic Impact of Total Lesion Glycolysis (TLG) from Preoperative 18F-FDG PET/CT in Stage II/III Colorectal Adenocarcinoma: Extending the Value of PET/CT for Resectable Disease

Simple Summary PET/CT is rarely performed initially in resectable colorectal cancer and is usually considered for detection of distant metastasis. However, we perceived another potential role of PET/CT in addition to diagnosis and staging, which is providing prognostication of the oncologic outcome by PET parameters extracted from initial PET/CT before surgery. This study evaluated the prognostic role of preoperative 18F-FDG PET/CT in 327 stage II/III colorectal cancer patients and comprehensively investigated the PET parameters with multiple threshold levels to select optimal parameters most robustly related to DFS. Several PET parameters including SUVmax, MTV2.5, MTV3, TLG2.5, TLG3, and TLG30% were significantly related to DFS, with TLG2.5 retaining statistical significance in multivariate analysis with other clinicopathologic prognostic factors. Prognostication with PET/CT at the time of initial diagnosis has substantial benefits over pathologic prognostic factors available only after surgery by giving oncologists an opportunity to consider treatment intensification or de-intensification before initiation of treatment. Abstract We investigated the prognostic role of metabolic parameters from preoperative 18F-FDG PET/CT in stage II/III colorectal adenocarcinoma. A total of 327 stage II/III colorectal adenocarcinoma patients who underwent curative resection were included. The maximal standard uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were analyzed for optimal cut-offs and their effect on DFS. Differences in DFS rates and hazard ratios for DFS between cut-offs were statistically significant in SUVmax, MTV2.5, MTV3, TLG 2.5, TLG3, and TLG30%. Factors significantly related to DFS in univariate Cox regression were age, sex, stage, preoperative CEA, SUVmax, MTV2.5, MTV3, TLG2.5, TLG3, and TLG30%. Age, sex, preoperative CEA, and TLG2.5 (p = 0.009) sustained statistically significant difference in multivariate analysis. The 1-, 3-, and 5-year DFS rates for TLG2.5 ≤ 448.5 were 98.1%, 79.6%, and 74.8%, significantly higher than 78.4%, 68.5%, and 61.1% of TLG2.5 > 448.5, respectively (p = 0.012). TLG, a parameter indicating both the metabolic activity and metabolic volume, was the strongest predictor independently associated with DFS, among several PET parameters with statistical significance. These results suggest the potential prognostic value of preoperative 18F-FDG PET/CT in stage II/III resectable colorectal cancer.
Wavelength-Tunable Vortex Beam Emitter Based on Silicon Micro-Ring with PN Depletion Diode

Herein we propose a design of a wavelength-tunable integrated vortex beam emitter based on the silicon-on-insulator platform. The emitter is implemented using a PN-depletion diode inside a microring resonator with the emitting hole grating that was used to produce a vortex beam. The resonance wavelengths can be shifted due to the refractive index change associated with the free plasma dispersion effect. Obtained numerical modeling results confirm the efficiency of the proposed approach, providing a resonance wavelength shift while maintaining the required topological charge of the emitted vortex beam. It is known that optical vortices got a lot of attention due to extensive telecommunication and biochemical applications, but also, they have revealed some beneficial use cases in sensors. Flexibility in spectral tuning demonstrated by the proposed device can significantly improve the accuracy of sensors based on fiber Bragg gratings. Moreover, we demonstrate that the proposed device can provide a displacement of the resonance by the value of the free spectral range of the ring resonator, which means the possibility to implement an ultra-fast orbital angular momentum (de)multiplexing or modulation.
Stimulating boundary crossing learning in a multi-stakeholder learning environment for sustainable development

Purpose Sustainable development requires multiple stakeholders to work and learn across practices, in other words, it requires boundary crossing competence. To prepare students for their future sustainability professions, higher education should facilitate the development of boundary crossing competence in its curricula. This study aims to confirm whether boundary crossing learning can be stimulated by workshop-based support in multi-stakeholder projects. Design/methodology/approach This quasi-experimental intervention study (N = 122) investigates the effect of a series of supporting workshops on students’ boundary crossing learning in multi-stakeholder projects. The workshops allowed students to adopt four learning mechanisms (identification, coordination, reflection and transformation) theorised to stimulate learning across boundaries between practices. Students followed zero, one, or two workshops. By analysing the student learning reports, the study examines the effect of the workshop intervention on students’ self-efficacy for stakeholder collaboration, the number of reported student-stakeholder collaborative activities and the reported boundary crossing learning mechanisms. Findings The results show that a series of two workshops increase the number of reported collaborative activities and activates the students’ boundary crossing learning in terms of reflection and transformation. Research limitations/implications These findings support the evidence-based design of multi-stakeholder learning environments for sustainable development and contribute to the body of knowledge regarding learning across practices. Originality/value Boundary crossing competence receives increasing attention as an asset for sustainable development. The added value of this study lies in its confirmation that the boundary crossing theory can be translated into directed educational support that can stimulate students’ boundary crossing learning.
Acquisition method for the lower limb motion information based on accelerometers

The acquisition of enough motion information is necessary in the intelligent lower limb prosthesis design.ADXL203,a kind of ADI product,act as an integrated micro electro mechanical system(iMEMS) is very suitable for measuring motion information of lower limb.An acquisition method of the lower limb motion information based on two accelerometers was designed after analysing the principles and usage of the micro device,which can measure the tilt angles of the upper leg and lower leg exactly,and get the flexion angles and angular velocity of the knee joint by calculation.The results of experiment indicate that the measure system has little volume,good sensitivity and fast reaction,which make it very suitable for the information acquisition.
Provision of workshop tools and equipment: necessity for technical vocational education graduates skills acquisition

Technical Vocational Education (TVE) is recognized as that aspect of education which leads to the acquisition of practical and applied skills that will enable its recipients to secure employment in a particular occupation. These skills cannot be acquired in a vacuum but rather in a well- established and functional workshop with the right tools, equipment and machines for effective implementation of the program. This paper discussed extensively on the provision of workshop tools and equipment as a necessity for TVE graduates skills acquisition that will enable them to be gainfully employed. The paper highlights on the concept and importance of TVE. Issues concerning workshop tools and equipment in TVE in Nigeria and the constraints to effective implementation of TVE with respect to workshop tools and equipment were discussed. Conclusions were drawn and recommendations made amongst which are: that special intervention funds should be set aside by government for procurement of workshop facilities to TVE institutions, such channels may include Tertiary Education Trust Fund (TETFund) as practiced in Nigeria and a specific percentage of Income tax generated annually by Government should be utilized for the provision of workshop facilities to TVE institutions.
Digital Banking Adoption in Vietnam: An Application of UTAUT2 Model

Digital banking is a modern form of banking – a new type of digital business. It covers all aspects of a traditional bank and transforms it into an application through digital technology. Digital banking plays a critical role in banking and economic development in the era of industrial revolution 4.0. This research examines the factors affecting the intention to use digital banking services in Vietnam, a frontier market. The research inherits the UTAUT2 research model to examine the determinants of digital banking services. The empirical study results show that the behavioural intention of digital banking services is positively affected by effort expectancy, social influences, facilitating conditions, and trust of commercial banks. Finally, the behavioural intention of digital banking services also positively impacts the intention to use digital banking services. This study “helps commercial banks in emerging markets approach customer needs better and develop digital banking services.
Recent in Materials Fabrication and Demonstration of a 3D-printing/PDMS Integrated Microfluidic Device

3D printing is an attractive method to fabricate microfluidic devices due to (1) its fast and simple process without specialized equipment and cleanroom environment, and (2) its capability to create complex 3D structures. Combined with Polydimethylsiloxane (PDMS), it can be used to develop various microfluidic devices taking advantage of both 3D printing and PDMS. In this paper, we investigated a Digital Light Processing (DLP) 3D printer to fabricate 3D printing/PDMS integrated microfluidic devices. We used it to fabricate both a master mold for the PDMS process and a substrate containing pneumatic ports and channels. The optimal design parameters to print a symmetrical microchannel structure were determined. We also measured the printing accuracy of taper structures as an example of its capability to fabricate complex structures. Then, we fabricated a microfluidic device by integrating a PDMS component with a 3D printed substrate. The microfluidic device operation was demonstrated using dye solutions. The fluidic control results clearly show the microfluidic device works as expected.
Multiscale Densely Connected Attention Network for Hyperspectral Image Classification

Hyperspectral image classification (HSIC) based on deep learning has always been a research hot spot in the field of remote sensing. However, most of the classification models extract relevant features based on fixed-scales convolution kernels, which ignores the complex features of hyperspectral images (HSIs) at different scales and impairs the classification accuracy. To solve this problem, a multiscale densely connected attention network (MSDAN) is proposed for HSIC. First, the model adopts three different scales modules with dense connection to enhance classification performance, strengthen feature reuse, prevent overfitting and gradient disappearance. Besides, in order to reduce the model parameters and strengthen the extraction of spatial–spectral features, the traditional three-dimensional convolution is replaced by three-dimensional spectral convolution block and three-dimensional spatial convolution block. Furthermore, the spectral–spatial–channel attention is embedded into the end of each scale to enhance the favorable features for classification and further extract the discriminant features of the corresponding scale. Finally, the key feature extraction module is developed to extract multiscale fusion features to further enhance the classification performance of the network. The experimental results carried out on real HSIs show that the proposed MSDAN architecture has significant advantages compared with other most advanced methods.
Assessing severity, treatment response, and phenotype in HS

Hidradenitis suppurativa (HS) is a chronic inflammatory skin disease characterized by recurrent abscesses, nodules, tunnels, and scarring in intertriginous areas. However, disease presentation and phenotype can vary widely, leading to unique challenges in determining disease burden and response to therapy. Over three dozen severity measures have been used at various times to provide static staging and track response to clinical interventions, and there are at least five proposed classification systems for clinical phenotypes, derived by either statistical methods or expert opinion. As yet, no single staging, outcome‐measurement, or phenotyping schema has proven to be far superior to the others in clinical practice, and very few studies have attempted to map proposed phenotypes to either outcome or clinical response to therapy. In this review, we discuss proposed phenotype schemas as well as provider‐scored, patient‐scored, and composite scoring systems that have been proposed for grading HS severity. We include relevant benefits and drawbacks to their routine use, with a focus on the most popular and recently developed systems, in the hope of providing a framework upon which future studies can be built to ensure the best possible care for those suffering from this debilitating disease.
Risk of Acute Anterior Uveitis in Ankylosing Spondylitis According to the Type of Tumor Necrosis Factor-Alpha Inhibitor and History of Uveitis: A Nationwide Population-Based Study

Background: We evaluated the risk of acute anterior uveitis (AAU) in patients with ankylosing spondylitis (AS) during treatment with tumor necrosis factor-alpha inhibitors (TNFis). Methods: This study was performed on AS patients using the Korean National Health Insurance claims database. We analyzed the first and total occurrence of AAU during the first 2 years of TNFis use according to the type of TNFis. Additionally, the occurrence of AAU was assessed in subgroups with or without prior AAU before TNFis initiation. Results: In total, 5938 AS patients initiated TNFis use between 2009 and 2017 and used them for more than 2 years. Among them, 1488 (25.1%) patients had a history of AAU before starting TNFis treatment. Compared to adalimumab, the use of etanercept (hazard ratio [HR] 1.77) increased the risk of AAU. The incidence rate ratio (IRR) of AAU with etanercept was significantly higher than that of adalimumab (IRR 1.78). The IRR of AAU was also higher for etanercept than adalimumab use in patients with (IRR 1.86) and without (IRR 2.92) a history of AAU. Conclusion: These data suggest that compared to anti-TNF-alpha monoclonal antibodies, etanercept has a higher incidence of AAU regardless of a history of AAU.
Trends and Development of Precast Concrete Closed Spandrel Arch Bridge Systems

Arch bridges which have existed since thousands years ago showed surprising durability. Due to the aesthetic value of arch bridges, it is widely used as crossing over valleys and rivers nowadays. Closed spandrel arch bridge is one type of arch bridges that has been developed using precast concrete technology since 1965. Currently, the available Precast Concrete Arch Bridge Systems are BEBO arch, Matiere arch, CON/SPAN arch, TechSpan arch, NUCON arch, Concrete-Filled FRP Tube arch, Flexi-Arch, Rivo CS-P Series arch and Pearl Chain arch. In this paper, development of the Precast Concrete Closed Spandrel Arch Bridge System is reviewed. The advantanges of precast closed spandrel arch bridge system will also be briefly presented. Comparisons in terms of arch sections, moulding, handling, transporting and installing among different Precast Concrete Closed Spandrel Arch Bridge Systems are also highlighted.
Content Validity and Reliability of the Pressure Ulcer Knowledge Test and the Knowledge Level of Portuguese Nurses at Long-Term Care Units: A Cross-Sectional Survey

(1) Background: Improvement in pressure ulcer care depends both on the dissemination of knowledge and its implementation. This study aims to translate the Pressure Ulcer Knowledge Test into Portuguese from Portugal and evaluate the internal consistency of the questionnaire. The second aim is to assess nurses’ pressure ulcer knowledge level. (2) Methods: The Pressure Ulcer Knowledge Test was translated into Portuguese, and the translated test’s internal consistency and content validity were assessed. Further, the authors conducted a cross-sectional survey using the test among 221 nurses working in long-term care units. (3) Results: The Cronbach’s alpha internal coefficient of reliability recorded for the 47 items was 0.738, which is higher than the minimum acceptable level of 0.7. The Cronbach’s alpha for the subscales was 0.709 for prevention/risk and less than 0.5 for staging and wound description. Only two of the 221 nurses achieved a score of 90% correct answers or more. The nurses scored lower in questions related to prevention/risk (Me = 67.4%, IQR = 60.6–75.8% vs. staging: ME = 85.7%, IQR = 71.4–85.7%, description: ME = 85.7%, IQR = 71.4–85.7%, p < 0.001). (4) Conclusion: The internal consistency of the instrument was acceptable. The instrument can accurately measure Portuguese nurses’ knowledge of pressure ulcers, and its information can help improve education and implementation of best practices.
Brand authenticity: literature review, comprehensive definition, and an amalgamated scale

ABSTRACT Amidst a rapidly changing marketplace, sharp behavioral changes, and increased social media usage, brand authenticity, already an important attribute, has become an essential asset for brands. Even though marketing researchers have been studying the topic for more than 25 years, our extensive literature review shows that a widely accepted definition and scale is still lacking. Many extant definitions and scales only address specific aspects of brand authenticity, thus only providing partial coverage. This paper proposes a new definition and amalgamated scale that addresses authenticity holistically in a germane/relatable manner. The disjointed, and often dated, extant definitions and scales require a re-conceptualization of brand authenticity to meet the needs of today’s consumer in relevant, meaningful manner.
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels

Self-supervised monocular depth estimation enables robots to learn 3D perception from raw video streams. This scalable approach leverages projective geometry and ego-motion to learn via view synthesis, assuming the world is mostly static. Dynamic scenes, which are common in autonomous driving and human-robot interaction, violate this assumption. Therefore, they require modeling dynamic objects explicitly, for instance via estimating pixel-wise 3D motion, i.e. scene flow. However, the simultaneous self-supervised learning of depth and scene flow is ill-posed, as there are infinitely many combinations that result in the same 3D point. In this paper we propose DRAFT, a new method capable of jointly learning depth, optical flow, and scene flow by combining synthetic data with geometric self-supervision. Building upon the RAFT architecture, we learn optical flow as an intermediate task to bootstrap depth and scene flow learning via triangulation. Our algorithm also leverages temporal and geometric consistency losses across tasks to improve multi-task learning. Our DRAFT architecture simultaneously establishes a new state of the art in all three tasks in the self-supervised monocular setting on the standard KITTI benchmark.