Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation and practice on NC stretch-forming for the stretchform system

The research object of this thesis is the Loire FET-1200 numerically controlled transverse stretching machine which is manufactured by ACB Group (France). Analysis of mechanism, reverse solution of motion and data interface between the Complex Skin Stretch Forming Simulation System (STRETCHFORM) and its pre-processing (FEAA) are deeply researched. The module of the mechanism motion analysis is developed by reverse solution method, which covers the shortage of the previous obverse solution of motion. The coordination and effective combination between CAE analysis and the control of NC machine (CNC) is accomplished successfully. One typical aircraft skin component is simulated in the STRETCHFORM system. The optimized paths of jaws are carried out on the Loire FET-1200, and the result of the experiment is good.
Crisis Response Communication Management of Chinese Construction Firms Based on Complexity Theory

Abstract The number of crisis and their severity is rising along with the growing complexity of technology, society and the environment. There are numerable incidents and crises that can interrupt the progress of construction projects. The crisis response phase puts the project organization’s established normal communication systems and processes under enormous and additional pressure. Complexity theory, as linked to social systems and organization studies has shown that the human communication systems can be viewed as a complex adaptive system. This paper proposes a complexity-informed framework to analyze the crisis response communication of Chinese construction firms during the Sichuan earthquake in May 2008. A survey of Chengdu construction firms was conducted to gauge the importance of the 59 identified organizational variables in communication management in the aftermath of the earthquake crisis through a self-administered postal questionnaire. The study also revealed that professionals from LSEs (Large Scaled Enterprises) and SMEs (Small and Medium-sized Enterprises) firms generally agreed on the significance of the organizational variables identified. It is suggested that the proposed complexity-informed framework can provide a good analytical foundation of offering a new mental model to understand the organizational communication behavior and decision-making practice in response to a crisis situation.
The Effect of Acetaminophen on Running Economy and Performance in Collegiate Distance Runners

Acetaminophen (ACT) may decrease perception of pain during exercise, which could allow runners to improve running economy (RE) and performance. The aim of this study was to determine the effects of ACT on RE and 3 km time trial (TT) performance in collegiate distance runners. A randomized, double blind, crossover study was employed in which 11 track athletes (9M/2F; age: 18.8 ± 0.6 years; VO2 max: 60.6 ± 7.7 mL/kg/min) completed three intervention sessions. Participants ingested either nothing (baseline, BSL), three gelatin capsules (placebo, PLA), or three 500 mg ACT caplets (ACT). One hour after ingestion, participants completed a graded exercise test consisting of 4 × 5 min steady-state stages at ~55–75% of VO2 max followed by a 3 km TT. There was no influence of ACT on RE in any stage. Similarly, ACT did not favorably modify 3 km TT performance [mean ± SD: BSL = 613 ± 71 s; PLA = 617 ± 70 s; ACT = 618 ± 70 s; p = 0.076]. The results indicate that ACT does not improve RE or TT performance in collegiate runners at the 3 km distance. Those wanting to utilize ACT for performance must understand that ACT’s benefits have yet to be significant amongst well-trained runners. Future studies should examine the effects of ACT on well-trained runners over longer trial distances and under more controlled conditions with appropriate medical oversight.
Multimodal Narratives for the Presentation of Silk Heritage in the Museum

In this paper, a representation based on digital assets and semantic annotations is established for Traditional Craft instances, in a way that captures their socio-historic context and preserves both their tangible and intangible Cultural Heritage dimensions. These meaningful and documented experiential presentations are delivered to the target audience through narratives that address a range of uses, including personalized storytelling, interactive Augmented Reality (AR), augmented physical artifacts, Mixed Reality (MR) exhibitions, and the Web. The provided engaging cultural experiences have the potential to have an impact on interest growth and tourism, which can support Traditional Craft communities and institutions. A secondary impact is the attraction of new apprentices through training and demonstrations that guarantee long-term preservation. The proposed approach is demonstrated in the context of textile manufacturing as practiced by the community of the Haus der Seidenkultur, a former silk factory that was turned into a museum where the traditional craft of Jacquard weaving is still practiced.
Identification of Species Origin of Wild Life Animals by using an Immunodiffusion Assay

Recently most of the forensic science laboratories do the species identification by forensic DNA techniques, however sometimes due to time and budget constraints it is practical for small laboratories to carry out species identification by serological methods. The immuno-electrophoretic method used in this study is rapid, specific and sensitive. It is very much useful for identification of species origin, and it can be considered a valid alternative method for the detection of animal species. Sometimes when DNA markers are not available electrophoresis can be invaluable tool for analysis of forensic samples.
Inductive Learning of OWL 2 Property Chains

We present an algorithm to inductively learn Web Ontology Language (OWL) 2 property chains to be used in object subproperty axioms. For efficiency, it uses specialized encodings and data structures based on hash-maps and sparse matrices. The algorithm is based on the frequent pattern search principles and uses a novel measure called s-support. We prove soundness and termination of the algorithm, and report on evaluation where we mine axioms from DBpedia 2016-10. We extensively discuss the 36 mined axioms and conclude that 30 (83%) of them are correct and could be added to the ontology.
Effects of Anatomical or Non-Anatomical Resection of Hepatocellular Carcinoma on Survival Outcome

Background: The relative benefit of anatomical resection (AR) versus non-anatomical resection (NAR) in hepatocellular carcinoma (HCC) remains controversial. This study compared the survival outcomes and recurrence rates of HCCs analysed according to tumour size and the extent of resection. Methods: Consecutive patients with HCC who underwent curative resection at Asan Medical Center between January 1999 and December 2009 were included in this study. We performed propensity score matching (PSM) according to tumour size to compare the survival outcomes between AR and NAR. A total of 986 patients were analysed; 812 and 174 patients underwent AR and NAR, respectively. Results: Before PSM, regardless of tumour size, the AR group demonstrated significantly better 5-year overall survival (OS) and recurrence-free survival (RFS) than the NAR group (p < 0.001). After PSM, the AR group demonstrated better OS and RFS rates than the NAR group when tumour size was less than 5 cm, but there was no significant difference in the OS and RFS rates between the two groups when tumour size was equal to or greater than 5 cm. In tumours less than 5 cm in size, AR was the most significant factor associated with OS and RFS. However, this prognostic effect of AR was not demonstrated in tumours with sizes equal to or greater than 5 cm. Conclusion: In patients with HCCs smaller than 5 cm, AR reduced the risk of tumour recurrence and improved OS. In HCCs larger than 5 cm, AR and NAR showed comparable survival outcomes.
Boundary Integral Equation Method for Compensating Magnetostatic Fields of Thin Shells

In traditional design of degaussing systems, the layout of degaussing coils is usually predefined. In order to calculate the electric currents in coils, the inverse problem of minimizing the magnetic field in a set of points outside the demagnetized object is solved. The article proposes a direct approach which allows estimating the coil currents together with the coil geometry based on computing surface distributions of compensating currents. For a thin ferromagnetic shell, these currents can be represented by a single boundary layer placed on the inner or outer side of the shell. The surface density of the current layer is expressed via a stream function and computed using a boundary-integral equation derived from zero tangential trace of the vector magnetic potential on the exterior side of the shell. Unlike other integral equations with respect to boundary layer densities, new equation contains rotation operator, which maps the div-conforming edge element space to the curl-conforming one. This involves alternative representations of the surface magnetization of the shell. As a result, the field compensation error depends on the layer position (inside or outside the shell), mesh size, and approximation of the surface magnetization. The accuracy of compensation and spatial characteristics of compensation currents are investigated using test models of spherical and cubic shells, and a ship computer model.
Tub Block Car Device Percussive Process Research and Calculation of Time

From the theory of elasticity,introduce a flexible contact to describe the process of the collision,according to elasticity,mechanical theory and the basic principles of mechanics and problem-solving basic ideas,running under the tub collision course time of the collision and impact analysis study.To reveal the tub and the installation of block car collision mechanism for the protective devices racer reasonable parameters and design basis.
Developments in Centrifugal Compressor Surge Control: A Technology Assessment

There are a number of surge control schemes in current use for centrifugal compressors which are employed in natural gas transmission systems. Basically, these schemes consist of a set of detection devices which either anticipate surge or detect it at its inception, and a set of control devices which act to prevent surge from occurring. A patent search was conducted in an attempt to assess the level and direction of technology development over the last 20 years and to define the focus for future R&D activities. In addition, the paper presents the current state of technology in three areas: surge control, surge detection and surge suppression. Patent data obtained from on-line databases showed that most of the emphasis has been on surge control rather than on detection and control and that the current trend in surge control will likely continue towards incremental improvement of a basic or conventional surge control strategy. Various surge suppression techniques can be grouped in two categories: i) those which are focused on better compressor interior design, and ii) others which attempt to suppress surge by external and operational means. © 1993 ASME
A 3-D Reconstruction Method for Large Freeform Surfaces Based on Mobile Robotic Measurement and Global Optimization

Automatic measurement and 3-D reconstruction are critical to the robotic manufacturing of large surface parts. The existing approaches have limitations in terms of measurement range, automation degree, and reconstruction accuracy. To achieve the automatic measurement and reconstruction of large freeform surface parts with high accuracy and high efficiency, this article proposes a measurement approach based on a mobile industrial robot and a 3-D reconstruction method based on multi-viewpoint cloud registration. First, to perform the automatic measurement and obtain the locally measured point clouds of the large freeform surface part, a mobile measurement robot is employed. And the initial global measurement poses, estimated by the robot’s pose information and the light detection and rangings (LiDAR’s) location result, are used to coarsely stitch the local multi-viewpoint clouds. Second, an adjacency judgment approach based on point cloud collision detection is proposed, with which the local measurement pose constraints are constructed. Finally, a global optimization approach based on improved pose graph optimization is proposed to achieve accurate global measurement poses estimation and high-accuracy reconstruction of multi-viewpoint clouds. Experiments were carried out on measuring and reconstructing a standard test blade and a real wind turbine blade. The results demonstrate that the proposed approach reaches the mean accuracy of 0.835 mm for a measuring range of about $4.5\times2.5\,\,\text{m}^{2}$ , which outperforms the previous methods in terms of measuring range, accuracy, and practicality.
Optimized anisotropic magnetoelectric response of Fe61.6Co16.4Si10.8B11.2/PVDF/Fe61.6Co16.4Si10.8B11.2 laminates for AC/DC magnetic field sensing

The anisotropic magnetoelectric (ME) effect on a Fe61.6Co16. 4Si10.8B11. 2/PVDF Fe61.6Co16. 4Si10.8B11. 2 laminate composite has been used for the development of a magnetic field sensor able to detect both the magnitude and direction of AC and DC magnetic fields. The accuracy (99% for both AC and DC sensors), linearity (92% for the DC sensor and 99% for the AC sensor) and reproducibility (99% for both sensors) indicate the suitability of the sensor for applications. Furthermore, the sensitivity of the Fe61.6Co16. 4Si10.8B11. 2/PVDF/Fe61.6Co16. 4Si10.8B11. 2 anisotropic magnetic sensor—15 and 1400 mV Oe−1 for the DC and AC fields, respectively—are the highest reported in the literature for polymer-based ME materials. Such features, combined with its flexibility, versatility, light weight, low cost and low-temperature fabrication, lead to the suitability of the developed sensor for use in magnetic sensor applications.
Penilaian pelaksanaan kurikulum Pendidikan Islam Sekolah Menengah berasaskan model Context-lnput-Process-Product (CIPP)

Previous studies indicated that there were weaknesses in the implementation of Islamic Education Curriculum (IEC) in schools on the suitability of content, teacher competency and student appreciation. However, the studies conducted so far are inconclusive. This research aimed to comprehensively evaluate the implementation of IEC in secondary schools based on the Context-Input-Process-Product (CIPP) model proposed by Stufflebeam and Shinkfield in 2007. This study employed a survey and interviews to elicit data on the perceptions of teachers and students about the implementation of IEC. Quantitative data were obtained from questionnaires distributed to 300 teachers and 400 students while qualitative data were obtained through interviews held with five teachers and seven students. The study demonstrated that the implementation of the IEC from the context dimension is appropriate with the National Education Philosophy, Islamic Education Philosophy, the goals and the objectives of the IEC. From the input dimension, it was found that the facilities at the school resource center, class rooms, audio visual equipment, textbooks, time table allocation and the Islamic education knowledge were relatively high. The teachers basic knowledge of education, pedagogy, ability to use the audio visual equipment and confidence were moderate. The process dimension showed that the teaching and learning, monitoring, evaluation and teacher-student relationship were high. The use of teaching aids and teachers collaboration with the administration section was moderate. Where product dimension is concerned, the impact, sustainability and transportability were high while effectiveness was found to be moderate. Findings from the interviews supported the main data. The implications of this study indicated the need for in-service training to enhance teachers classroom competencies and the need to raise students comprehension of jawi in order for them to master Islamic education knowledge.
Managing Uncertainty: An Experiment on Delegation and Team Selection

We study how organizations use team selection and delegation of authority jointly to navigate uncertain environments. To do so, we model a managerial decision environment in which a manager both determines the skill heterogeneity of the workers and determines whether to retain or delegate the ability to allocate tasks. Delegation enables better-informed workers to allocate tasks more efficiently when uncertainty is high relative to the incentive conflict between manager and worker. Our novel approach allows us to illustrate that this conflict is endogenously determined by the team selection decision. Experimental data support—although not globally—the direction of our theoretical hypotheses and offer insight into how and why choices deviate from expected behavior. Notably, we identify behavioral characteristics that aid decisions along each dimension. Deliberative thinking improves all decisions under low uncertainty and improves team selection regardless of the level of uncertainty. Risk tolerance improves all decisions in highly uncertain situations and helps managers optimally delegate decision rights in all settings. The results highlight potentially costly ways in which managers seek to simplify their decisions but show how deliberative thinking and risk tolerance can improve performance in a complementary manner.
Association between Objectively Measured Sedentary Behaviour and Sleep Quality in Japanese Adults: A Population-Based Cross-Sectional Study

The association between sedentary behaviour and sleep quality (SQ) remains unclear, partly due to the limited methodology for assessing sedentary time and the influence of obesity. This study aimed to examine the association between objectively measured sedentary time and poor SQ, as well as the association of visceral fat accumulation. This cross-sectional study used health check-up data obtained from 721 Japanese adults. Sedentary time and physical activity were measured using an accelerometer for ≥7 days, with ≥10 measurement hours per day. Poor SQ was determined by a Pittsburgh Sleep Quality Index score of ≥ 6. Visceral fat was measured using the abdominal bioimpedance method. A logistic regression model was used to analyse the association between sedentary time and SQ. We found that higher sedentary time was associated with poorer SQ. This association remained significant after adjustment for several covariates, including visceral fat. Compared with the lowest tertile of sedentary time, the second and highest tertile had a significantly higher OR of poor SQ (Tertile 2: OR = 2.06 [95% CI 1.14,3,73]; Tertile 3: OR = 2.76 [95% CI 1.49, 5.11]). These results suggest that managing sedentary time itself might contribute to improving SQ.
Digital Moral Outrage, Collective Guilt, And Collective Action: An Examination of How Twitter Users Expressed Their Anguish During India's Covid-19 Related Migrant Crisis

This paper examines the intersection of group-based expressions including digital moral outrage, collective guilt, and collective action on Twitter, following the tragic incident of 8 May 2020, in which 16 migrant workers were run over by a train after the Indian government imposed a sudden COVID-19-related lockdown. Twitter data were gathered immediately at three different times - May 8–15, May 16- 23, May 24-May 31, and 4598 tweets were manually coded. The analysis revealed that digital moral outrage was the most frequently expressed emotion. It, however, gradually decreased, signaling digital outrage fatigue. Collective guilt and sympathy constituted the second-largest portion of the total tweets, and tweets reflecting collective action by the community progressively increased. The network of relationships among different group-based emotions, the promotion of one-sided narratives and virtue signaling on social media platforms are discussed.
Impact of customer experience on attitude and utilization intention of a restaurant-menu curation chatbot service

Purpose The purpose of this study is to assess the possibility of introducing a restaurant-menu curation (RMC) chatbot service to help consumers quickly and effectively decide on their restaurant or menu choices. To this end, it measures the characteristics of consumer chatbot experiences and analyzes their impact on future acceptance intentions through their attitudes toward the RMC chatbot service. Design/methodology/approach This study consists of three parts: developing a RMC chatbot prototype, testing the chatbot prototype and a customer survey based on experience. A convenience sample method was used to collect data from 368 adults who tried the RMC chatbot service before answering a self-administered questionnaire. Partial least squares structural equation modeling (PLS-SEM) was used to test the proposed structural model. Findings The results showed that all experience characteristics, except usable facets, had a significant positive impact on attitudes toward the chatbot. Three experience characteristics, “usable,” “usefulness” and “valuable,” revealed a significant positive effect on utilization intention. Attitudes toward chatbot services also significantly affected utilization intention. Research limitations/implications The results of this study can offer practical and academic implications for establishing curation services in the restaurant industry that can increase customer acceptance and utilization intentions. Follow-up studies are required to explore and verify the various personal and psychological factors related to the intention to accept RMC chatbot services. Originality/value This study is meaningful because it makes it possible to evaluate the introduction of curation chatbot services in the restaurant sector, by developing and testing the dining-out curation service protocol to help customers’ smart choices in the information technology environment.
AnkleSens: Foot Posture Prediction Using Photo Reflective Sensors on Ankle

Recognizing foot gestures can be useful for subtle inputs to appliances and machines in everyday life, but for a system to be useful, it must allow users to assume various postures and work in different spaces. Camera-based and pressure-based systems have limitations in these areas. In this paper, we introduce AnkleSens, a novel ankle-worn foot sensing device that estimates a variety of foot postures using photoreflective sensors. Since our device is not placed between the foot and the floor, it can predict foot posture, even if we keep the foot floating in the air. We developed a band prototype with 16 sensors that can be wrapped around the leg above the ankle. To evaluate the performance of the proposed method, we used eight foot postures and four foot states as preliminary classes. After assessing a test dataset with the preliminary classes, we integrated the eight foot postures into five. Finally, we classified the dataset with five postures in four foot states. For the resulting 20 classes, the average classification accuracy with our proposed method was 79.57% with user-dependent training. This study showed the potential of foot posture sensing as a new subtle input method in daily life.