Miracle-dz/UniFAR-FTUs huggingface dataset:
An Experimental Study of Higher-Order Modes Excited by High Repetition Rate Electron Beam in an SRF Cavity

Higher-order modes (HOMs) excited by electron beam traversing a superconducting rf (SRF) cavity contain lots of information and can be used for intra-cavity electron beam diagnostics. Unlike single bunch, multiple bunches would excite HOMs with a much complicated spectrum. In this paper, we present our recent research on HOMs excited by a high repetition rate electron beam in an SRF cavity. Especially, we focus on the integer multiple frequency peaks in the HOM spectrum, which are determined by the nearest eigen HOM peaks. The experiments were carried out on the DC-SRF photoinjector, which was operated at MHz repetition rate. The results agree well with theoretic analysis.
A Corotational Formulation Based on Hamilton’s Principle for Geometrically Nonlinear Thin and Thick Planar Beams and Frames

A corotational finite element formulation for two-dimensional beam elements with geometrically nonlinear behavior is presented. The formulation separates the rigid body motion from the pure deformation which is always small relative to the corotational element frame. The stiffness matrices and the mass matrices are evaluated using both Euler-Bernoulli and Timoshenko beam models to reveal the shear effect in thin and thick beams and frames. The nonlinear equilibrium equations are developed using Hamilton’s principle and are defined in the global coordinate system. A MATLAB code is developed for the numerical solution. In static analysis, the code employed an iterative method based on the full Newton-Raphson method without incremental loading, while, in dynamic analysis, the Newmark direct integration implicit method is also utilized. Several examples of flexible beams and frames with large displacements are presented. Not only is the method simple and time-saving, but it is also highly effective and highly accurate.
Cognitive and Physiological Processes Underlying

The aim of this research was to examine the underlying cognitive processes as well as the physiological outcomes of disclosing traumatic events. Epstein (1973, 1991, 1994, 1998) has argued the existence of two fundamental modes of cognitive processing: a rational mode that involves higher brain functioning and is reason-oriented, and an experiential mode that involves lower brain functioning and is pleasure-pain oriented. We examined the hypothesis that fact-based disclosure invokes rational processing while emotion-based disclosure invokes experiential processing by examining participants' physiological reactivity during as well as their behavior in a decision-making task following written disclosure. Based on previous findings suggesting that events involving high vs. low brain functioning involve different types of physiological activation (Berntson, Cacioppo, & Quigley, 1991), I proposed the following: First, emotion-based retelling would result in a uniform pattern of autonomic activity across subjects, marked by an increase in sympathetic (SNS) activity coupled with a decrease iIi parasympathetic (PNS) activity. Conversely, fact-based retelling would result in diverse SNS and PNS activity between subjects, including an increase in SNS activity with no change in PNS activity, and a decrease in PNS activity with no change in SNS activity. Second, emotion-based retelling would result in more nonoptimal than optimal choices in the decision-making task, while fact-based retelling would result in more optimal than nonoptimal choices in the task. Sixty undergraduates at a private, liberal arts university wrote about either a personally traumatic life event or a trivial topic for ten minutes and then participated in a decision-making task modeled after Epstein's ratio-bias (RB) paradigm. Impedance cardiography and a blood pressure cuffwere employed to examine
Simultaneous Localization and Mapping of Mobile Robot Based on Improved RBPF

The traditional SLAM based on RBPF has the problem of constructing high-precision map which requires large amounts of particles to make the calculation complexity and the phenomenon of particle depletion caused by particle degradation. Aiming at these problems, an improved RBPF particle filter based on adaptive bacterial foraging optimization algorithm and adaptive resampling is proposed for mobile robot SLAM problem. Firstly, the introduction of adaptive bacterial foraging algorithm to RBPF making the distribution of particles before resampling closer to the real situation. Then use the adaptive resampling method makes the newly generated particles closer to the real movement, thereby increasing the robot position estimation accuracy and map creation accuracy. The experimental results show that this method can improve the practicability of the system, reduce the computational complexity, improve the operation speed and get more effective particles while guaranteeing the accuracy of the grid map.
Training Teaching Assistants to be Coaches: A Sustainable Approach

More is being asked of graduate teachingassistants (GTAs) as engineering education places anincreased emphasis on teamwork and design. GTAsdirectly influence undergraduate learning. How theyapproach their role can determine if that influence ispositive or negative. Exerting a positive influencerequires GTAs to encourage positive group dynamics,foster self-directed learning, and support individual andteam innovation. In other words, the role of a GTA iscloser to that of a coach than to a teacher or a mentor.Unfortunately, most GTAs lack experience and skill incoaching and facilitation. To help shift our GTAs’perspectives and help them to think, act, and viewthemselves as coaches, we have developed a coachingand facilitation training workshop. We have now offeredthis workshop for a second year. The second offeringincludes a number of important updates which weredriven by three motivations: 1) improved educationaleffectiveness, 2) sustainability, and 3) dissemination.Important changes include a new activity to introduce theuse of open-ended questioning and a workbook whichsupports the workshop activities and acts as a referencesource which participants can consult after the workshop.We have also created a facilitators’ guide so that theworkshop may be delivered by facilitators other than theauthors. All workshop materials have been released undera Creative Commons license to facilitate dissemination.
UDK 619:618.19-006:636.7 QUANTITATIVE AND QUALITATIVE ANALYSIS OF AgNOR IN BENIGN AND MALIGNANT CANINE MAMMARY GLAND TUMORS

In this retrospective study, quantitative and qualitative analyses of argyrophil nucleolar organizer regions (AgNORs) in 54 malignant and 18 benign canine mammary gland tumors were made. Statistical analysis showed a significant difference in the mean number of AgNORs per cell between benign and malignant tumors (p<0.01). There was no significant difference in the mean number of AgNORs per cell between complex carcinomas, simple carcinomas and carcinomas in mixed tumors (p>0.05), as well as between adenomas and benign mixed tumors (p>0.05). Six different patterns of AgNOR distribution were observed. Types I, II, III and in only two cases, type IV, were observed in benign tumors, while all six types were observed in malignant tumors. The predominant types in malignant tumors were III, IV, V and VI. Cell types II, III and IV were predominant in malignant tumors with 5.5-7 AgNORs per cell, while cell types V and VI were dominant in tumors with more than 7 AgNORs per cell.
What Drives A Long-Term Relationship In Microcredit? Insights from a Cambodian Microfinance Institution

This article examines the determinants of the nominal value of loans in microcredit and the factors that drive long-term relationship banking. The dataset is drawn from primary data gathered from 216 randomly selected borrowers in a Cambodian microfinance institution. Analysis is performed using an OLS regression model.The results confirm positive and significant impacts of real estate assets and loan purposes on the amount borrowed and a negative impact of being single as a civil status. Long-term relationships are positively affected by: age of borrower and purpose of loan; and negatively affected by female gender.Contrary to general belief that microcredit is targeted to the “poorest of the poor”, a new market segment in microcredit was discovered within which MFI might target low-income/asset backed clients, granting loans on a “sustainable” basis, by applying the fundamental criteria of commercial banking: assessing credit worthiness and loss given default.
Capsaicinoids Enhance Metabolic Rate in Normal Healthy Individuals using a Novel Metabolic Tracker Breezing Device-An Open Label Placebo Controlled Acute Study

Increasing daily energy expenditure (EE) plays an important role for metabolic health and weight management. Obesity, an epidemic with associated conditions has kept increasing in all age groups for the past three decades. There is no evidence of a decline in overweight and obesity prevalence in any age group for the past 10 years. Capsaicinoids are bioactives from Capsicum extract reported lipolysis, increased energy expenditure, increased lipid oxidation and reduced appetite. Breezing® is a portable device that measures your metabolism using a method called indirect calorimetry. It analyzes your rates of oxygen consumption and carbon dioxide production. Breezing®, a handheld device about the size of a computer mouse, is the world’s first battery-operated portable metabolism tracker that syncs with a smartphone. This innovative device helps people develop a personalized weight management plan based on their own metabolic profile. Resting energy expenditure (REE) affected by factors such as body composition, age, sex, medical conditions and genetics. The purpose of this study is to investigate the effects of capsaicinoids supplement on metabolic rate and heart rate upon the supplementation at rest in healthy subjects. In a single blind, acute, placebo-controlled, crossover open label study and after an initial familiarization visit, 40 subjects (male: n=23; female: n=17; Age: 28.2 ± 5.3 y; body mass index=23.1 ± 3.8lb/in2; Body fat (Bio-impedence): 18.6 ± 7.2%) underwent testingsessions with metabolic tracker breezing equipment during which time they consumed either a 2 mg capsaicinoids supplement (100 mg Capsimax®) or placebo, one capsule per day. At least 35 subjects are required to satisfy a power of 0.95 with an α of 0.05. After supplementation, resting energy expenditure (REE) at different time points (Baseline (BL), 1 h, 2 h and 3 hrs and calculated for 24 hr REE), heart rate (HR), and blood pressure (BP) were assessed. The capsaicinoids treatment resulted in significantly (p ≤ 0.05) greater energy expenditure [∆REE% 6.07] vs. placebo. The extrapolated REE changes in 24 hrs for capsaicinoids were 130 kcal/day (7.23%) and placebo was 8 kcal/day (1.17%). There were no significant between-treatment differences for Heart rate (HR). These findings indicate that the thermogenic nutritional supplement could increase resting energy expenditure (REE). Further long term studies are required to explore breezing metabolic tracker use in nutritional studies for weight management.
Safer reinforcement learning for robotics

Reinforcement learning is an active research area in the fields of artificial intelligence and machine learning, with applications in control. The most important feature of reinforcement learning is its ability to learn without prior knowledge about the system. However, in the real world, reinforcement learning actions may lead to serious damage of a controlled robot or its surroundings in the absence of any prior knowledge. Safety — an often neglected factor in the reinforcement learning community — requires greater attention from researchers. Prior knowledge can increase safety during learning. At the same time, it can severely limit a possible solution set and hamper learning performance. This thesis discusses the influence of different forms of prior knowledge on learning performance and the risk to robot damage, where prior knowledge ranges from physics-based assumptions, such as the robot construction and material properties, to the knowledge of the task curriculum, or the approximate model possibly coupled with a nominal controller.
SDN-Based Double Hopping Communication against Sniffer Attack

Sniffer attack has been a severe threat to network communication security. Traditional network usually uses static network configuration, which provides convenience to sniffer attack. In this paper, an SDN-based double hopping communication (DHC) approach is proposed to solve this problem. In DHC, ends in communication packets as well as the routing paths are changed dynamically. Therefore, the traffic will be distributed to multiple flows and transmitted along different paths. Moreover, the data from multiple users will be mixed, bringing difficulty for attackers in obtaining and recovering the communication data, so that sniffer attack will be prevented effectively. It is concluded that DHC is able to increase the overhead of sniffer attack, as well as the difficulty of communication data recovery.
The Role of Technology Acceptance in Predicting Knowledge Sharing Among Students of Shiraz University of Medical Sciences

Background: Today knowledge and information sharing by means of new technologies among university students and faculty members is important. Therefore, it is necessary to identify factors which influence knowledge sharing among university students. Objectives: The main purpose of the present study was to examine the role of technology acceptance in improving knowledge sharing among students of Shiraz University of Medical Sciences, Shiraz, Iran. Methods: In this applied research, a descriptive-analytic cross-sectional study was used. The study sample consisted of 228 medical students from Shiraz University of Medical Sciences. The data collection tools included two questionnaires, i.e., technology acceptance (Toe, 2011) and knowledge sharing (Van den Hoof & Van Weenen, 2004) questionnaires. The validity of these scales in terms of form and content was examined by experts in the field, and their reliability was confirmed by measuring Cronbach’s alpha coefficients. The reliability of technology acceptance and knowledge sharing questionnaires was 0.83 and 0.72, respectively. After confirming the validity and reliability of the questionnaires, they were distributed among the participants. Finally, the collected data were analyzed using one-sample t-test and Pearson’s correlation coefficient test in SPSS and structural equation modeling (SEM) in Lisrel 8.8. Results: The results of one-sample t-test showed that the levels of technology acceptance and knowledge sharing were higher than the acceptable level among medical students. In addition, the results of Pearson’s correlation test indicated a significant positive relationship between technology acceptance (and its components) and knowledge sharing. In addition, SEM showed that technology acceptance is a significant positive predictor of knowledge sharing among students. Among different components of technology acceptance, only perceived usefulness (PU) and facilitating conditions (FC) were significant predictors of knowledge collecting (P = 0.37 and 0.28, respectively). Nevertheless, other components of technology acceptance could not predict different types of knowledge sharing. Conclusions: The present results showed that PU and FC could predict the knowledge sharing of students more than other components. To improve knowledge sharing in the context of higher medical education, different aspects of technology acceptance need to be evaluated and expanded; accordingly, establishment of new educational policies is necessary.
Drug resistance pattern of Salmonella and Shigella species isolated from selected hospitals in Anyigba, Kogi State, Nigeria

This work was designed to assess the status of Salmonella and Shigella infections in Anyigba, Kogi State, Nigeria with a view to making informed statements that may guide policy makers and public health experts in the containment efforts against these infections. Salmonella and Shigella species isolated from human faecal samples were examined for resistance to some antibiotic agents using disc diffusion methods. Drug resistant isolates were analyzed for presence of plasmids by basic curing and transferability methods. Age distribution of sources of resistant isolates showed that Shigella isolates from Youths (18 - 30 years) were more resistant to Ampicilin (66.67%) and Augmentin (33.33%) than isolates from Infants (6 months - 4 years) (3% Ampicillin and 0% Augmentin). Salmonella species isolated from Adults (31 – above) were more resistant to Augmentin (45%) and Ampicillin (40%), than isolates from Youths (18- 31 years) (40% Ampicillin and 36.67% Augmentin). Salmonella isolated from Infants (6 months – 4 years) showed percentage resistance of 28.57% to Ampicillin and 14.29% to Augmentin while isolates from Children (5 - 17 years) showed percentage resistance of 25% to Ampicillin and 12.5% to Augmentin. Salmonella species showed higher percentage resistance to commonly used drugs than Shigella species. The result shows that 8% of Shigella species and 21.5% of Salmonella species were resistant to more than eight antibiotics with (MAR) index of between 0.2-0.9. Results of curing and agarose gel electrophoresis (AGE) presumptively showed that the resistance traits were plasmid borne. AGE showed plasmids of molecular weights 23.1 kb for both species of Salmonella and Shigella suggesting their possible exchange among them. This was substantiated by conjugative transfer of resistance determinants among few isolates. The results show convincing evidence of the presence of multidrug resistant Salmonella and Shigella spp. within the study population. Key words: Hospital patients, Salmonella spp. , Shigella spp. , drug resistance, plasmids, resistance index.
How Immigrants Fare across the Earnings Distribution in Australia and the United States

This paper investigates determinants of the earnings distribution for native-born workers and immigrant workers in two countries. The authors, using data from the 2000 U.S. Census and 2001 Australian Census, employ a methodology (quantile regression) that facilitates measurement of the native-born/immigrant earnings differential and the partial effect of explanatory variables such as schooling and experience at each decile of the earnings distribution. They find evidence that schooling and labor market experience had stronger earnings effects at higher deciles. The native/immigrant earnings gap varied by decile, and in particular increased in the United States at higher deciles. The results suggest that in the United States minimum wages compressed earnings at low deciles, whereas in Australia the minimum (administered) wage system compressed earnings across the entire distribution. A pattern of higher earnings for immigrants than for the native-born at the lowest earnings decile in Australia may reflect favorable selectivity in migration.
The application of canting keel concept in racing windsurfing fins: does it lead to superior performance?

Windsurfing is a young, dynamically evolving sport. As the numbers of windsurfers increase around the world, equipment producers race against each other, using the latest materials and technologies in the never ending pursuit of better performance. The aim of this research is to investigate the latest development idea – the canting fin. The project is based on Formula Windsurfing, a racing discipline, where fins reach 70cm of length and have crucial influence on a competitor’s final result. Primary data was collected in two stages, in both qualitative and quantitative forms. The former involved 4 male, international-level windsurfing competitors who tested two provided sample fins – one of a classic design and the other, with the same geometry and material properties but altered into the canting concept. Subjects’ observations were recorded using a semi-structured questionnaire. The second stage of data gathering was based on GPS measurements of fins’ performance. Once again the two described sample foils were used to identify the advantages and disadvantages of the novel design. At this point, over 5000 of speed and course measurements were taken providing a significant data set. The presented results show numerous differences between the tested fins. Overall, combining all of the measured characteristics, the canting fin proved to be superior by 44% in a simulated competition situation. In a competitive situation, research participants would have chosen the new fin in 87% of the tested situations over the classic design. The project generated an interesting set of results without having to base on multiple assumptions. It was 100% practise-based and was designed as an alternative to laboratory-based modelling. Factors influencing data precision and the measurement error were discussed and several areas for further research were outlined.
Shape optimization of arch dams with frequency constraints by enhanced charged system search algorithm and neural network

The main aim of this paper is to find the optimum shape of arch dams subjected to multiple natural frequency constraints by using an efficient methodology. The optimization is carried out by charged system search algorithm and its enhanced version. Computing the natural frequencies by Finite Element Analysis (FEA) during the optimization process is time consuming. In order to reduce the computational burden, Back Propagation (BP) neural network is trained and utilized to predict the arch dam natural frequencies. It is demonstrated that the optimum design obtained by the Enhanced Charged System Search using the BP network is the best compared with the results of other algorithms. The numerical results show the computational advantageous of the proposed methodology.
DEVELOPMENT AND VALIDATION OF NEW CRYOGENIC CAVITATION MODEL FOR ROCKET TURBOPUMP INDUCER

Cryogenic fluids, such as liquid hydrogen and oxygen, are often used as rocket propellants, and it is known that a suction performance of turbopump inducer in cryogenic fluid is improved due to ‘Thermodynamic effect’. Thermodynamic effect can be explained by temperature decrease inside a cavity region arising from the latent heat absorption. For better understanding of suction performance of inducer, CFD is one of the most important tools. Computational cost is important for CFD which is used in the design phase, and a number of governing equations must be small. Therefore, in the present study, cryogenic cavitation model without energy equation was established. The present model considers that temperature decrease due to latent heat absorption is analytically estimated. Validation calculations were carried out for blunt headforms and hydrofoils for water cavitation and a two-dimensional blunt body, Laval nozzles and inducers for cryogenic fluids. According to these validation calculations, good agreement can be observed, and this result indicates that this model is applicable for cryogenic inducer design.