Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical bridges in high-speed railway lines

For the design of railway bridges in railway lines with a speed limit above 200 km/h the dynamic effects have to be considered. The present design codes such as Eurocode (EN 1991-2) achieve this by assuming different high-speed load models (for example HSLM-A) for the dynamic calculations of all railway bridges in the network. If train manufacturers design a new high-speed train which fulfills the limits of the load model HSLM-A (geometric and weight parameters), then no additional verification of the dynamic effects are required as all the railway bridges already comply with the HSLM-A. New challenges arise if a train manufacturer decides to differ from these limits, as they may be uneconomic (for example short length of single car). Furthermore, a railway operator may wish to expand the use of high-speed trains on traditional lines, which were, up to now, not verified for dynamic loads. In both cases, each single railway bridge in the railway network has to be recalculated by considering the geometry and weight parameters of the new developed train, which seems to be a cumbersome task. Therefore this paper deals at first with the different train parameters and their limits, which need to be fulfilled in order to be in line with the load model HSLM-A and shows which of them are more critical than the others. This is done by assuming 8 different fictitious trains which fulfill or slightly exceed these limits. The different structural hazard is determined by performing systematic dynamic analyses for a large parameter range of single-span bridges and train speeds. The second part of this paper deals with a methodology, which makes it possible to determine the critical bridges in high-speed railway lines (critical length and critical first natural frequency) for a given train load model in order to reduce the total number of bridges to be investigated. In addition, the train signature curve is analysed with respect to support the dynamic analysis.
High precision force measurements in horizontal direction in combination with high dead loads: non-contact flowmeter for low conducting electrolytes

The Lorentz Force Velocimetry (LFV) is a non-contact technique to measure flow rate of an electrically conducting fluid exposed to an externally applied magnetic field. The flow measurement is enabled by measuring the Lorentz force (F_L), generated in the flow and linearly proportional to the mean flow velocity, electrical conductivity and magnetic field in the second power, with application specific force measurement systems (FMS). This work is mainly devoted to the development of suitable FMSs for LFV applications in a special case when the measurand force acts horizontally on the magnet system and ranges about 1 uN. The magnet system, weighing 1 kg and suspended from FMS, is an essential component of the LFV application. Thus, they produce an unavoidable force on FMSs in vertical direction due to the gravity force (F_g approx 10 N). A special focus of this work is to increase the relative resolution of the force measurements, i.e. the ratio of the horizontally directed force measurement resolution over the total weight of the dead load (magnet system and suspension mechanism)-std(F_L)/F_g. Initially, a set of extensive measurements are made using previously developed FMSs. Environmental influences are studied and their impact on measurement results are identified (thermal drift and vibration noise). The work then progresses to address how the relative resolution of the measurements can be increased using the difference method of force measurements to reduce the influence of these errors. Then, a new approach to measure F_L in LFV applications is presented, based on electromagnetic force compensation method directly applied on LFV magnets. Generalized theoretical description of the proposed method is provided based on the design of the existing LFV application and the complete analytical model and analysis. Overall, the performances of three newly developed FMSs are presented. Further, the practical measurements of F_L on two different salt-water channels are made showing several significant improvements achieved by this work. In comparison with previous works the resolution of force measurements from 1 uN to 20 nN are increased, providing a factor of 50 improvement. By this, improved performance of the LFV application is validated and the flow rate measurements according to LFV theory are enabled for 2 orders of magnitude lower values of electrical conductivity, until 0.059 S/m. Finally, measurements for lower ranges of the electrical conductivity 0.005 S/m to 0.059 S/m are presented and some remarks on unexpected new results are discussed.
Exact travelling wave solutions of the (3 + 1)-dimensional mKdV-ZK equation and the (1 + 1)-dimensional compound KdVB equation using the new approach of generalized (cid:2) G (cid:2) /G (cid:3) -expansion method

In this paper, the new generalized ( G (cid:4) /G) -expansion method is executed to ﬁnd the travelling wave solutions of the (3 + 1)-dimensional mKdV-ZK equation and the (1 + 1)-dimensional compound KdVB equation. The efﬁciency of this method for ﬁnding exact and travelling wave solutions has been demonstrated. It is shown that the new approach of generalized ( G (cid:4) /G) -expansion method is a straightforward and effective mathematical tool for solving nonlinear evolution equations in applied mathematics, mathematical physics and engineering. Moreover, this procedure reduces the large volume of calculations.
Understanding outsourcing strategy within the intellectual property industry – a proposed typology

Outsourcing has gained much importance in managerial practice and academic discussion. This paper investigates the phenomenon of outsourcing knowledge-based work, particularly of intellectual property (IP). Using data from 36 cases, the analysis reveals a distinct typology of IP outsourcers based on a cost model and the firms’ IP outsourcing strategy. Four in-depth case studies are analysed: non-outsourcer transaction cost outsourcer, expertise outsourcer, and strategic outsourcer. The differentiated analysis reveals trade-offs and both positive and negative effects of the IP outsourcing strategy. We suggest that firms need a differentiated approach based on the type of IP work (legal versus non-legal) and outsourcing breadth (number of outsourced IP services) to manage intellectual property rights (IPR) with external suppliers most efficiently. We conclude by providing practitioners five important lessons for the outsourcing of IP activities.
Vector Processors

Vector processors reduce the fetch and decode bandwidth as the number of instructions fetched are less. They also exploit data parallelism in large scientific and multimedia applications. Based on how the operands are fetched, vector processors can be divided into two categories in memory-memory architecture operands are directly streamed to the functional units from the memory and results are written back to memory as the vector operation proceeds. In vector-register architecture, operands are read into vector registers from which they are fed to the functional units and results of operations are written to vector registers.
X-Ray Quiz: A 78-Year-Old Lady Presenting with Chest Pain

A 78-year-old lady with history of hypertension, diabetes mellitus and hyperlipidaemia came to the emergency department complaining of upper back pain and some chest pain. On physical examination, her blood pressure and pulse was stable, examination of the heart and back revealed no murmurs or local tenderness, respectively. An electrocardiogram did not reveal any abnormality suggestive of acute myocardial ischaemia nor infarction. A chest radiograph and computed tomography (CT) of aorta were performed.
Optimisation of built-in UHF conical monopole antenna sensors for partial discharge detection in high voltage switchgear

In this paper, a built-in antenna sensor for wide-band based on a classic conical monopole antenna is proposed to detect partial discharge(PD) in 600MHz-1.2GHz. The antenna is modeled by CST Microwave Studio to yield good performance in the frequency range of interest. The large ground plate of the classic conical monopole antenna is replaced by a concentric cylindrical block, which reduces the area of the cross-section of the ground plate and realizes the miniaturization of antenna. By appropriately choosing the gap distance between the cone and cylindrical block, cone length and the diameter of the concentric cylindrical block, the performance of wide bandwidth, omnidirectional radiation patterns and good gain are acquired. A vector network analyzer(VNA) is used to test the return loss of the conical antenna, and the test results are consistent with the simulation results (standing wave ratio of less than 2.5). Finally, an experimental platform is set up in the laboratory and typical partial discharge defects are set. The proposed UHF monopole antenna is fabricated and tested. Detection impedance, transient earth voltages(TEV) and UHF are used for PD detection simultaneously with the aim to validate the effectiveness of the antenna and the experimental results demonstrate that the proposed UHF antenna appeared to be suitable for PD detection.
Distributed immutable ledger to maintain integrity and anonymity in health insurance – a blockchain approach

Health Insurance application and claim process involve doctors, hospitals, lab professionals and policy holders for approvals, making it slow and increasing the chances of anomalies. Previous research has made it possible to store medical reports on decentralised blockchain networks primarily by using private blockchain networks like Hyperledger fabric which doesn't assure no data leakage. Our blockchain's proposed solution will help in easing out the whole process and helping in maintaining integrity and establishing anonymity. We designed data structures for storing insurance payments and agreements, medical service records, and patient records within the ledger. We use smart contracts to automate the insurance claim process and to ensure privacy. This compliance system for the health insurance claim process will increase the privacy of patients' records along with maintaining integrity and anonymity.
Fiber-optic sensing for partial discharge acoustic detection on power cable joints

Fiber-optic acoustic sensors have been increasingly applied in the condition monitoring of power equipment for their high sensitivity and strong immunity to electromagnetic interference. The Sagnac fiber sensor system exhibits excellent sensitivity for the interferometric characteristics in the single-loop fiber route, while the phase-sensitive optical time-domain reflectometry (Φ-OTDR) sensor system has great potential in long-distance distributed detection. In this paper, the performance of the two sensor systems was discussed on the partial discharge acoustic detection in power cable joints and compared with the conventional piezoelectric sensor. The acoustic signal characteristics of the two fiber-optic systems and the piezoelectric sensor were compared in terms of the signal-to-noise ratio (SNR) and frequency spectrum. The results showed that all three acoustic sensors could successfully detect the partial discharges caused by the defect within the cable joint, in terms of SNR, among which the Sagnac sensor system was the optimal as expected, and the piezoelectric sensor was superior to the Φ-OTDR sensor system. Nevertheless, the Φ-OTDR system realized the fault location of the partial discharge induced by the cable joint defect which is of great significance for the distributed detection.
Novel EST-SNPs Polymorphisms and their Association with Growth Traits in Schizothorax prenanti

1Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Southwest University, College of Fisheries,, Chongqing 400715, China 2Fisheries Research Institute in Wanzhou Chongqing, Chongqing, 404000, China 3State Key Laboratory of Marine Resources Utilization, South China Sea (Ministry of Education), Hainan University, College of Ocean , Haikou 570100, China Article Information Received 05 June 2019 Revised 20 June 2019 Accepted 10 November 2020 Available online 15 June 2022 (early access)
A Machine Intelligence Model to Detect Drowsiness for Preventing Road Accidents

Road accidents are one of the major issues to be addressed in recent days. Drowsiness while driving the vehicles is one of the major causes among them. Statistics state that drowsiness alert system is required to avoid this kind of problems in daily life. Few earlier inventions based on the movement of the vehicle and steering wheel angle which is not sufficient to prevent the damage. This paper proposes drowsiness identification system that identifies driver's drowsiness by capturing the image frames of the drivers face from the video stream depending on eye blinks and blinking interval. In this research work, D-CNN based model is suggested to detect the drowsiness and validate the system based on different circumstances like driver with and without glasses. Proposed D-CNN outperforms than other CNN models and able to detect drowsiness with 95% accuracy.
Sawing Off Dead Branches: Proactive Divestiture and Innovation Performance

We investigate the impact of post – divestitures on innovative activities at firm-level. In an extremely competitive environment such as high-tech industries, innovation is required for a firm to achieve sustainable competitive advantage and thus survival of the organization. While divestiture has been treated as only a mirror image of M&A and merely a tool to overcome past mistakes, in a recent business practice, it has been recognized as a significant independent strategy for firms to gain growth of core competency. Consistent with recent positive – view on divestiture, we further investigate divestiture as a proactive strategic option as opposed to a traditional perspective that illustrates divestiture as a reactive action owing to settle inner organizational problems. Research concerning the relationship between proactive divestiture and innovation performance remains unexplored and requires a close investigation. To explore such relationship, this study integrated research on knowledge – based view a.
Beta-Hydroxybutyrate: A Dual Function Molecular and Immunological Barrier Function Regulator

Ketone bodies are crucial intermediate metabolites widely associated with treating metabolic diseases. Accumulating evidence suggests that ketone bodies may act as immunoregulators in humans and animals to attenuate pathological inflammation through multiple strategies. Although the clues are scattered and untrimmed, the elevation of these ketone bodies in the circulation system and tissues induced by ketogenic diets was reported to affect the immunological barriers, an important part of innate immunity. Therefore, beta-hydroxybutyrate, a key ketone body, might also play a vital role in regulating the barrier immune systems. In this review, we retrospected the endogenous ketogenesis in animals and the dual roles of ketone bodies as energy carriers and signal molecules focusing on beta-hydroxybutyrate. In addition, the research regarding the effects of beta-hydroxybutyrate on the function of the immunological barrier, mainly on the microbiota, chemical, and physical barriers of the mucosa, were outlined and discussed. As an inducible endogenous metabolic small molecule, beta-hydroxybutyrate deserves delicate investigations focusing on its immunometabolic efficacy. Comprehending the connection between ketone bodies and the barrier immunological function and its underlining mechanisms may help exploit individualised approaches to treat various mucosa or skin-related diseases.
The Situation Awareness Framework for Explainable AI (SAFE-AI) and Human Factors Considerations for XAI Systems

Abstract Recent advances in artificial intelligence (AI) have drawn attention to the need for AI systems to be understandable to human users. The explainable AI (XAI) literature aims to enhance human understanding and human-AI team performance by providing users with necessary information about AI system behavior. Simultaneously, the human factors literature has long addressed important considerations that contribute to human performance, including how to determine human informational needs, human workload, and human trust in autonomous systems. Drawing from the human factors literature, we propose the Situation Awareness Framework for Explainable AI (SAFE-AI), a three-level framework for the development and evaluation of explanations about AI system behavior. Our proposed levels of XAI are based on the informational needs of human users, which can be determined using the levels of situation awareness (SA) framework from the human factors literature. Based on our levels of XAI framework, we also suggest a method for assessing the effectiveness of XAI systems. We further detail human workload considerations for determining the content and frequency of explanations as well as metrics that can be used to assess human workload. Finally, we discuss the importance of appropriately calibrating user trust in AI systems through explanations along with other trust-related considerations for XAI, and we detail metrics that can be used to evaluate user trust in these systems.
Inferred Subcellular Localization of Peroxisomal Matrix Proteins of Guillardia theta Suggests an Important Role of Peroxisomes in Cryptophytes

Peroxisomes participate in several important metabolic processes in eukaryotic cells, such as the detoxification of reactive oxygen species (ROS) or the degradation of fatty acids by β-oxidation. Recently, the presence of peroxisomes in the cryptophyte Guillardia theta and other “chromalveolates” was revealed by identifying proteins for peroxisomal biogenesis. Here, we investigated the subcellular localization of candidate proteins of G. theta in the diatom Phaeodactylum tricornutum, either possessing a putative peroxisomal targeting signal type 1 (PTS1) sequence or factors lacking a peroxisomal targeting signal but known to be involved in β-oxidation. Our results indicate important contributions of the peroxisomes of G. theta to the carbohydrate, ether phospholipid, nucleotide, vitamin K, ROS, amino acid, and amine metabolisms. Moreover, our results suggest that in contrast to many other organisms, the peroxisomes of G. theta are not involved in the β-oxidation of fatty acids, which exclusively seems to occur in the cryptophyte's mitochondria.
A Comparison of Affective Responses Between Time Efficient and Traditional Resistance Training

The aim of the study was to compare the acute effects of traditional resistance training and superset training on training duration, training volume and different perceptive measures. Twenty-nine resistance-trained participants (27 ± 7 years, 173 ± 9 cm, and 70 ± 14 kg) performed a whole-body workout (i) traditionally and (ii) as supersets of exercises targeting different muscle groups, in a randomized-crossover design. Each session was separated by 4–7 days, and consisted of eight exercises and three sets to failure. Training duration and number of repetitions lifted were recorded during the sessions. Rate of perceived exertion for effort (RPE), rate of perceived exertion for discomfort (RPD), session displeasure/pleasure (sPDF), and exercise enjoyment (EES) were measured 15 min after each session. Forty-eight hours after the final session participants reported which session they preferred. The superset session led to significantly higher values for RPE (1.3 points, p < 0.001, ES = 0.96) and RPD (1.0 points, p = 0.008, ES = 0.47) and tended to be higher for sPDF, i.e., more pleasurable, (p = 0.059, ES = 0.25) compared to the traditional session. There was no difference in EES (p = 0.661, ES = 0.05). The traditional session led to significantly increased training volume (4.2%, p = 0.011, ES = 0.34) and lasted 23 min (66%, p < 0.001, ES = 7.78) longer than the superset session. Eighteen of the participants preferred the superset session, while 11 preferred the traditional session. In conclusion, performing a whole-body workout as a superset session was more time-efficient, but reduced the training volume and was perceived with greater exertion for effort and discomfort than a traditional workout.
Berberine Suppresses Lung Metastasis of Cancer via Inhibiting Endothelial Transforming Growth Factor Beta Receptor 1

This study investigated the effects of berberine (BBR) on pancreatic cancer (PC) lung metastasis and explored the underlying mechanisms, using a BALB/C-nu/nu nude mouse model injected with PC cells (AsPC-1). Intragastric administration of BBR dose-dependently improves survival of mice intravenously injected with AsPC-1 cells, and reduces lung metastasis. Especially, BBR significantly reduces lung infiltration of circulating tumor cells (CTCs) 24 h after AsPC-1 cells injection. In vitro, tumor cells (TCs) trigger endothelial barrier disruption and promote trans-endothelial migration of CFSE-labeled TCs. BBR treatment effectively ameliorates TC-induced endothelial disruption, an effect that is diminished by inhibiting transforming growth factor-β receptor 1 (TGFBR1). Blocking TGFBR1 blunts the anti-metastatic effect of BBR in vivo. Mechanistically, BBR binds to the intercellular portion of TGFBR1, suppresses its enzyme activities, and protects endothelial barrier disruption by TCs which express higher levels of TGF-β1. Hence, BBR might be a promising drug for reducing PC lung metastasis in clinical practice.
MILLENIAL ADOPTION OF DIGITAL WALLET IN CHINA: THE PREDICTIVE VALUE OF BELIEF AND ATTITUDE

The specific popularization associated with mobile wise fatal products like mobile phones produced the introduction of electronic budget or even cellular responsibilities ramping up. The actual ownership from the digital purses offers progressively changed the traditional deal program within nowadays business community (Wróbel-Konior, 2016), also it has been regarded as the tradition in several in the created countries specially in The far east, where nice regarding electric budget was obviously an amazing differ from a new cash economic climate to some cashless overall economy. This particular study making use of Technologies Authorization Design (TAM) because supporting concept. This specialist efforts to develop a built-in design to check on in to the belief-attitude-behavioral associations, especially analyzing the specific predictive associated with ideals (perceived effectiveness, acknowledged relieve to utilize in addition recognized trust) via mindset around the ownership involving electronic digital finances amongst millennial inside Tiongkok. The outcomes says identified simplicity of use plus known performance possess a considerable immediate effect on way of thinking as well as roundabout effects upon rehoming by means of perspective. Nevertheless , virtually no substantial partnership is present among identified believe in in addition to frame of mind, along with the usage with the electronic digital budget. This specific analysis confirmed and even validated the connection associated with beliefs-attitude-behavioral purpose within the re-homing regarding electronic purses inside Cina. Nonetheless, additional studies suggested to incorporate the particular cultural-differences like a moderating flexible and also to carry out acceptable evaluation among customers through numerous decades, to improve the actual generalization on the exploration together with boost the predictive beliefs of this aspects associated with typically the usage of your electronic digital pocket.