Miracle-dz/UniFAR-FTUs huggingface dataset:
Screening Of Diverse Organic, Inorganic And Natural Nitrogen Sources For Dextran Production By Weissella Sps Using Plackett-Burman Design

Exopolysaccharides like dextran produced by different microorganisms have a wide range of applications in the food, pharmaceutical and other industries. Dextran and its derivatives like iron dextran, clinical dextran, food grade dextran are rapidly emerging as new and industrially significant products. Dextran a polymer of glucose is produced using sucrose rich media and also requires efficient nitrogen sources for production. In the present study diverse organic nitrogen sources like yeast extract, soya bean meal, meat extract, beef extract, casein hydrolysate, bacterial peptone, corn steep liquor, inorganic nitrogen sources like sodium nitrate, sodium nitrite, potassium nitrate, ammonium chloride, ammonium nitrate, ammonium sulphate, ammonium phosphate and natural nitrogen sources like Bengal gram, red gram, black gram, green gram, horse gram, soybeans, cow pea were screened using statistical design like Plackett-Burman. An eight experimental design of Plackett-Burman was used and seven sources were screened. Broth analysis indicated presence of more fructose and less glucose. Dextran was recovered from broth by alcohol precipitation. The results indicated that there was higher dextran production in organic nitrogen sources like casein hydrolysate, natural nitrogen sources like black gram. Though inorganic nitrogen sources did not show good yield, but comparatively ammonium sulphate gave a positive response. These studies indicate that organic and natural nitrogen sources can be used for optimization of production media for commercial production of dextran.
Non-melt selective enhancement of crystalline structure in molybdenum thin films using femtosecond laser pulses

It is challenging to crystalize a thin film of higher melting temperature when deposited on a substrate with comparatively lower melting point. Trading such disparities in thermal properties between a thin film and its substrate can significantly impede material processing. We report a novel solid-state crystallization process for annealing of high melting point molybdenum thin films. A systematic investigation of laser induced annealing from single pulse to high pulse overlapping is reported upon scanning at fluences lower than the threshold required for the damage/ablation of molybdenum thin films. The approach allows better control of the grain size by changing the applied laser fluence. Atomic force microscopy surface morphology and x-ray diffraction (XRD) analysis reveal significant improvements in the average polycrystalline grain size after laser annealing; the sheet resistance was reduced by 19% of the initial value measured by a Four-point probe system. XRD confirms the enlargement of the single crystal grain size. No melting was evident, although a change in the close packing, shape and size of nanoscale polycrystalline grains is observed. Ultrashort laser induced crystallinity greatly enhances the electrical properties; Hall measurements reinforced that the overall carrier concentration increases after scanning at different laser fluences. The proposed method, based on the aggregation and subsequent growth of polycrystalline and single crystal-grains, leading to enhanced crystallization, has potential to be applicable in thin film processing industry for their wide applications.
Cross-species bamboo grading based on flexural properties

This experiment studied five species of bamboo culms [e.g. B. vulgaris (ampel), D. asper (betung), G. apus (tali), G. atroviolacea (hitam), and G. pseudoarundinaceae (andong)], then analyzed the possibility to develop cross-species bamboo structural grading (both strength and capacity grading) models by mean of dummy variable regression. Since the regression analysis resulted the significantly different coefficient values of the dummy variables, any coincided trendline did not found, but some parallel ones were obtained. The non-coincided but parallel trendlines indicated that a linear equation can estimate the average value of the grade determining property (GDP) of cross-species bamboo structural grading, while the constants must be added to consider the species influence. Meanwhile the non-parallel trendlines indicated that the different linear equation must be applied for every bamboo species. The crossspecies bamboo structural grading could not reliably justify in this study. Species have a strong influence on bamboo grading. Therefore, the authors suggest considering the species identification in the bamboo structural grading.
A Maze Robot Autonomous Navigation Method Based on Curiosity and Reinforcement Learning

Robot navigation gets a lot of attention today, and more and more scholars are trying to ﬁnd new ways to make robot’s navigation more intelligent. Maze problem is a typical case of robot autonomous navigation, which is also what we study in this paper. In maze problem, ﬁnding the exit quickly is one of the important indexes to measure the quality of the algorithm. Reducing unnecessary exploration can solve this problem well. With this in mind, we design an autonomous navigation algorithm for maze robot based on curiosity and Q-learning. The curiosity is designed based on the Sigmoid function, and it inﬂuences the probability of the action selection in reinforcement learning way. In addition, a memory module is designed to store nodes and Q-values in sequence. The information that recorded is used for the curiosity on the one hand, and makes global reinforcement on the other hand. We simulate the feasibility and advantages of the algorithm respectively, and results show that the robot can reduce repeated exploration of the environment in the process of autonomous navigation, and it has a faster convergence rate compared with the Q-learning algorithm without curiosity.
MAKING CUSTOMERS HAPPY THROUGH EXPERIENTIAL MARKETING

Happiness is an emotional state usually defined by positive emotions and leading to joy. Nowadays, marketers are keenly focused on making customers happy. But this can’t be done by persuasive marketing campaigns or tactics instead what leads to happiness is a positive experience forming an emotional connection. Therefore, the present study was conducted to study the impact of customer experiences on customer loyalty and satisfaction. For this, a sample of 300 customers at various adventure parks was taken. The data was collected through convenience sampling and analyzed using SPSS version 23. It was found that users had a positive experience. The study also found that the customer experience had a significant and positive impact on both customer loyalty and satisfaction. This study is important for experience providers as they can benefit by providing positive experiences to customers which eventually leads to loyal and satisfied
Modelling of regional vessel near collision risk assessment with convolutional neural network

With the rapid development of maritime transportation, a reliable and reasonable judgment of vessels for near miss collision risk is greatly beneficial to the ship safety and operation. Traditional collision models may have a serious deviation from the reasonable situations, rather than always giving reliable judgments. If the ships always need experts’ knowledge, although the reliability of judgment is enhanced, it will greatly increase the experts’ workload, which is also unrealistic. In this paper, a deep learning method based on convolutional neural network (CNN) has been proposed and applied in detecting the near miss collision risk for regional vessels. This model can reconstruct the error of the output and minimizes the error, and then improves the accuracy of the network through a large number of inputs and frequent iterative training. It is noted that the error is the difference between the CNN model outputs and the reliable data labels. Thus, according to the mathematical model we set up and experts’ knowledge, a large scale of reliable data labels for CNN are obtained. In addition to the input maps, the basic sailing factors data that is a vector fed into the multiple fully connected layers of the CNN. Due to the basic sailing factors data, the model accuracy is improved by 5.58%. The Northern Baltic Sea area is taken as a case study, the Automatic Identification System (AIS) equipped in the vessels provide traffic data of the ocean areas for this research.
Development of a site-specific correlation for the verification of relative density of dredge reclamation sand fill using CPT results

This paper provides the methodology and results for the development of a site-specific correlation to verify that relative density (Dr) of sand placed for a large reclamation project was in accordance with specified values. Estimates of Dr were obtained from large scale in-situ density tests, Vertek direct sampling, sand replacement and nuclear gauge density tests. Estimates of Dr from these measurements were compared to estimates of Dr obtained from an extensive Cone Penetration Test (CPT) program, using published empirical correlations to CPT results. The published correlations were developed based on laboratory testing in calibration chambers, using materials that were generally coarser and with lower proportions of quartz than the reclamation sand. The published relationships showed a tendency to significantly over-estimate Dr. A site-specific correlation was hence developed, using an existing published form of correlation. The comparison of CPT test results and direct measurements of density and Dr indicate that there is a degree of uncertainty involved in estimating Dr from CPT test results that should be considered when using CPTs for assessment of compliance with specified density requirements.
THESIS PRESSURE TO BE THIN AND INSULIN SENSITIVITY: AN INVESTIGATION OF THE POTENTIAL MODERATING ROLE OF RACE/ETHNICITY AMONG ADOLESCENT GIRLS AT RISK FOR TYPE 2 DIABETES

ii Literature Review. 1 Adolescent Obesity and Type 2 Diabetes . 1 Stress, Weight Stigma, and Metabolic Health . 2 Developmental Period of Adolescence and Pressure to be Thin . 5 Ethnic and Racial Differences . 6 Summary of Background Literature and Significance. 9 Current Study . 10 Method . 12 Participants . 12 Procedures . 13 Measures . 13 Pressure to be thin. 13 Perceived stress. 14 Insulin sensitivity and resistance. 15 Anthropometrics. 15 Data Analytic Plan . 16 Data Preparation. 16 Statistical Analyses . 16 Results . 17 Preliminary Analyses . 17 Descriptive information. 17 Bivariate associations. 19 Primary analyses. 21 Discussion . 22 Considerations and Future Directions . 26
Application of Knowledge Discovery in Databases Process in the Production Systems

This article deals with knowledge discovery in databases (abbr. KDD) and their application in the industrial area. The article is focused on methodology of process KDD and the overview of theoretical knowledge in the field of knowledge discovery in databases and data mining. Knowledge discovery in the production databases is minimally used for the process of planning and control. In this article, authors present the objectives and steps of the project.
Does Basel III Affect Banks’ Dividend Policy? Empirical Evidence of US Commercial Banks

This paper examines the effects of new capital requirements of Basel III on dividend policy using differences-in-differences approach with the panel analysis of 35,437 observations in the United States over the period 2011 to 2015 which are the years after the announcement of the capital proposal of Basel III. The analysis indicates that dividends payout ratio and propensities fall when banks are preparing to meet the Basel III capital requirement. However, the impact of the higher capital requirement of Basel III on dividend payout is more pronounced for G-SIBs & D-SIBs in the short period. Findings of this study have importance valuable for bank managers, shareholders and investors. The increase in the capital requirement by Basel III will ultimately make banks become a safety and soundness in the future. It will lead to banks’ profitability and stability over the years. Even if the performance of the economy is slow, the stability of bank system will be able to sustain the confidence level of investor.
Human Activity Recognition Using Smart-Phone Sensors

Activity recognition is a challenging problem for context-aware systems and applications. Many studies in this field has mainly adopted techniques based on supervised or semi-supervised learning algorithms to recognize activities by movement patterns gathered through sensors, but these existing systems suffer from complex issues for feature representations of sensor data and multi-sensors integration. In this paper, we propose a novel feature learning method for activity recognition based on entropy and construct an activity recognition model with multi-class AdaBoost algorithm. Experiments on sensor data from a real dataset demonstrate the significant potential of our method to extract features for activity recognition. The experimental results also show recognition model based on multi-class AdaBoost is effective. The average precision and recall for six activities are 95.9% and 95.9%, respectively, which are higher than results obtained by using other methods such as Support Vector Machine (SVM) or K-Nearest Neighbor (KNN).
Antibacterial Activity and Phytochemical Constituents of Cinnamomum verum and Matricaria chamomilla from Sudan

The present study describes the phytochemical profile and antibacterial activity of the bark of Cinnamomum verum and flowers of Matricaria chamomilla profusely prescribed in traditional medicine in Sudan. Our phytochemical investigations revealed many principles of bioactive properties in animal and human, such as sterols, triterpens, flavonoids, tannins and alkaloids for Cinnamomum verum, sterols, triterpens, flavonoids, saponins, tannins and alkaloids for Matricaria chamomilla. The antibacterial activity was examined using agar well-diffusion method, using different extracts; Petroleum ether, ethyl acetate, methanol and ethanol against two gram positives (Staphylococcus aureus ATCC 25923, Bacillus subtilis NCTC 8236) and two gram negatives (Escherichia coli ATCC 25922, Pseudomonas aeruginosa ATCC 27853), the results showed that most extracts have significant antibacterial activity. The current study supports the employment of these plants in the Sudanese folk medicine and recommends further microbiological and pharmacological studies as a promising sources for new antibacterial agents.
A COMPARISON STUDY OF STUDENTS' PERFORMANCE: QUALITY/LEAD MANAGEMENT VERSUS BOSS MANAGEMENT STYLES IN TECHNOLOGY EDUCATION

Haucke Richard G. (Writer) (Last Name) (First Name) (Initial) A Comparison Study of Students’ Performance: Quality/Lead Management versus Boss Management Styles in Technology Education (Title) Education Dr. Howard Parkhurst January, 2002 76 (Graduate Major) (Research Advisor) (Month/Year) (No. of Pages) American Psychology Association (APA) Publication Manual (Name of Style Manual Used in This Study) The purpose of this study is to compare two educational management philosophies and their systems: boss/top-down management using stimulus-response, and William Glasser’s Quality School, employing W. Edwards Deming’s Quality Control/ Lead Management. An experiment is done to determine whether students in the experimental group demonstrate higher achievement levels at accomplishing class objectives by using Choice Theory/Lead Management systems than in the control group where the experimenter used the traditional classroom management approach of boss management. Two similar home and auto classes are the subjects for the experiment. The goal in the home and auto class is to provide students with valuable, practical consumer information and the physical skills to perform simple construction, repair, maintenance, and care for houses and automobiles. An informational pretest and posttest are used to determine any differences in achievement between the two groups. The final grades of the class members are included to add additional data to compare subject accomplishments. Utilizing a two-tailed t-test with a . 05 confidence level, it was determined that there is no significant difference in the overall performance of the home and auto classes using the two different approaches of classroom management. It would appear that different management systems are not a significant factor in academic success or failure when applied to a home and auto technology class.
ANALYSIS OF REINTRODUCED PRONGHORN POPULATIONS IN ARIZONA USING MITOCHONDRIAL DNA MARKERS

Genetic diversity was examined in pronghorn (Antilocapra americana) to assess relationships among Arizona populations sharing common reintroduction or translocation sources. Ninety-seven Arizona pronghorn were analyzed for mitochondrial DNA (mtDNA) haplotype variation via restriction enzyme analysis and four composite haplotypes were revealed. Comparative analyses of Arizona pronghorn populations that shared founders from Montana, Wyoming, Texas, or central Arizona were performed. In addition, analyses of differences in haplotype frequency were performed specifically for populations in the northwestern and southeastern sections of the state because these populations are thought to be composed entirely of reintroduced pronghorn. Tests for differences in haplotype frequencies among populations sharing founders were performed using Monte Carlo simulation. Populations which received translocated animals from Texas, Wyoming, or Montana showed no significant variability in haplotype frequencies. Haplotype frequencies were significantly different among populations that received reintroductions from central Arizona only when a population which also received pronghorn from Montana, was included in analyses. Overall, populations in southeastern Arizona differed significantly from each other in haplotype frequencies. However, populations within southeastern Arizona with common reintroduction sources (e.g., Texas or central Arizona only) were not different in haplotype frequencies. Populations sampled in northwestern Arizona were not different from each other in haplotype frequencies despite the wide array of sources (central Arizona, Montana, Wyoming, Colorado, and Utah) used to restock that region. Our results suggest that whenever possible, genetic data should be used to plan future reintroductions of pronghorn in Arizona. PROCEEDINGS PRONGHORN ANTELOPE WORKSHOP 19:45-54
Application of Software Engineering Techniques to the Advanced Laboratory of the Cooperative Course

Practical Software Engineering courses are generally dealt with software system development. Students apply the waterfall life cycle to realize their project. The environment which supports the course is rigid and it does not allow to explore variability of software processes and techniques. This work presents one solution utilized in Software Engineering Advanced Laboratory of Computing Engineering Course of Escola Politecnica of University of Sao Paulo. Its environment has been conceived to offer to the students at the last degree of course a project environment based on Capacity Maturity Model and Unified Process. The project teams are organized into software factories and the students have opportunity to simulate real project environments.
Improved IM DTC by using a Fuzzy Switching Table in PV Applications

The paper proposes a fuzzy inference system to improve the direct torque control (FDTC) of the induction motor (IM) using a photovoltaic (PV) water pumping system. The large ripples in the conventional control (CDTC) are due to the control action, based on hysteresis comparators, that doesn't take into account the error level of the flux/torque. Using a fuzzy switching table, voltage vectors are selected according to the error range. A number of the sectors is increased in order to have more freedom degrees for the selection of the voltage source inverter switching vector. To extract the maximum available power from a PV generator, an intelligent controller based on a fuzzy logic is used. Results of a simulation made with MATLAB/SIMULINK show the effectiveness of the proposed FDTC in terms of an important reduction of the torque and flux ripples and THD of the stator current compared to CDTC.
Technological dissimilarity in R & D alliances : The moderating effects of exploratory strategy and knowledge stock 研發聯盟夥伴之技術差異性:探索策略與知識存量之調 節效果

This study aims to examine how technological diversity between R&D partners affects firm performance. Drawing on the knowledge-based view, we posit that partner technological dissimilarity between R&D alliance partners has a curvilinear relationship with firm performance. Furthermore, two factors: a firm’s exploration strategy and knowledge stock, are identified as moderating this relationship. We conducted analyses on 747 R&D alliances announced during the period of 2001–2014 in the U.S. biopharmaceutical industry. The results reveal an inverted-U shaped relationship between partner technological dissimilarity and firm performance, which is positively moderated by a firm’s knowledge stock and exploration strategy. Possible explanations for our findings as well as their theoretical and practical implications are subsequently discussed herein.
Publishing DGS corpus data: Different Formats for Different Needs

In 2010-2012, the DGS-Korpus project collected a large corpus of German Sign Language (DGS). Now, a substantial subset of the data is published, namely the Public DGS Corpus. We describe the considerations and decisions taken regarding what part of the data is to be made public, the necessary quality assurance measures to the data preparation as well as the formats of the published data. The corpus is published in three different ways in order to fulfil the needs of a variety of different users. First of all, the data is made available to the language community whose members allowed us to share their recorded language. In addition, we hope that a large number of non-scientific users with various backgrounds will find the data useful. Last but not least, we aim to make the data attractive for users with a scientific background and provide the possibility to conduct studies based on it, irrespective of whether they are familiar with DGS or not.
Profit Efficiency and Corporate Governance of Indian Banks∗

This paper examines the impact of board structure on the profit efficiency of Indian banks. We employ directional distance function methodology to account for undesirable output in the profit efficiency estimations. Further, we decompose the profit inefficiency into technical and allocative inefficiency to disentangle the source of the inefficiency over ownership pattern. On an average, the performance of state-owned banks has been relatively poor due to their high levels of profit inefficiency emanating primarily from allocative inefficiency. The second stage results suggest that Indian banks with larger boards and those that pay higher sitting fees to the members exhibit better performance. Among the private sector banks, the key corporate governance variables that improves the performance include higher proportion of female board members and relatively larger proportion of independent board members. The results are robust to alternative measures of efficiencies and estimations that address for potential endogeneity concern. Our study contributes to the debate on the role of board structure in bank performance.
Control of parallel inverters in distributed AC power systems with consideration of the line impedance effect

The authors have developed a new control technique which allows paralleled inverters to share linear or nonlinear load in a distributed AC power supply system. This technique does not require control interconnections and automatically compensates for inverter parameter variations and line impedance imbalances. Simulation results are provided in the paper to prove the concept.