Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing Flexible Dual Master's Degree Programs at UPAEP (Universidad Popular Autonoma del Estado de Puebla) and OSU (Oklahoma State University).

In 2006, UPAEP (Universidad Popular Autónoma del Estado de Puebla) and OSU (Oklahoma State University) signed a MOU (memorandum of understanding) to develop more than 20 dual master’s degree programs. This special partnership has allowed students from Mexico and the United States to study two master degree programs, in two languages, in two countries and in approximately two years. Five years ago, both higher education institutions realize that allowing students to travel between two countries could develop intercultural competences to work efficiently in international environments. We understood the need to develop intercultural competences in our students. They key of this successful agreements what the option to transfer up to 50% of the total credits of the master programs from one university to the other. After the signing of the general, the different colleges from both institutions were invited to participate in the design of each dual master degree. Each college in each university of UPAEP and OSU analyzed with their contra part, the academic requirements in the different master programs, as well as the required and the elective courses. After a deep analysis of the curricula, each institution decided which courses the students should take at each institution (as the core/required courses) and the courses that were allowed to transfer as well as the ones to take at the host institution. The addendums to the initial general MOU dual master’s degree programs which include the course matching were signed by each one of the deans of the different schools and colleges involved in the process. Twenty-five different dual master’s degree programs were developed and launched at once six years ago between both universities in Mexico and the United States. There is a special consideration in the design of the programs at each institution that facilitates the success of the negotiation of the dual master’s degree programs between UPAEP and OSU. Those considerations are the innovativeness, flexibility and interdisciplinary of their curricula, which allowed the deans of the schools and colleges to select the courses that the students should take at the home institutions and the courses the students should take at the host institution.
Spanish Journal of Marketing - ESIC

Purpose – The authors analyze the relationship between different consumer attitudinal variables and a number of variables related to consumer perception of the store and purchasing behavior, in assortments composed exclusivelyof private labels(PLs). Design/methodology/approach – The authors developed an experiment based on an online survey to test the hypotheses formulated. The model ’ s causal relationships are established using structural equations. Findings – The image of stores that only offer their own brand is mainly con ﬁ gured by price consciousness and the attitude toward the private label. The private label purchase intention is strongly in ﬂ uenced by the store image and a favorable attitude toward the brand, and loyalty strategies should be aimed at securing a clearperceptionof providing real value. Practical implications – For retailers who only offer their own brands, an assortment with price-competitive PLs is key to the strategy of differentiating them from other retailers. It is reasonable to assume that, if retailers have a favorable image, customers transfer this brand value to their PLs and trust them.
Assessment of Information and Communication Technologies: Land Use and Congestion Management Strategies to Promote Urban Environmental Sustainability

ii DISCLAIMER The contents of this report reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented herein. Abstract Reducing greenhouse gas emissions (GHG) is an important social goal to mitigate climate change. A common mitigation paradigm is to consider strategy 'wedges' that can be applied to different activities to achieve desired GHG reductions. In this report, we consider a wide range of possible travel demand reduction and traffic congestion management strategies to reduce light-duty vehicle GHG emissions. To estimate the cost savings associated with the implementation of various travel demand and traffic congestion management strategies, performance measures such as speed, delay, and travel time were assessed for each strategy. These performance measures were then combined with emission factors – amount of pollutants per speed interval – and monetary damage values of each pollutant in terms of mortality, morbidity and environmental damages – dollar per gram of pollutant – to estimate the external environmental cost savings resulting from the implemented strategy. Fuel and time cost savings were simply measured by incorporating the value of time and fuel. Specifically, the external environmental cost of driving in the U.S. including congestion was estimated to be about $110 billion annually. Brownfield developments and LEED certified brownfield developments were assessed as land use and travel demand management strategies to reduce vehicular travel demand. Impacts of these residential developments on vehicle miles traveled (VMT) reduction and the resulting costs (cost of driving time, fuel, and external air pollution costs) were examined. Results show with minimal implementation cost incurred by transportation authorities (about 75-95% less than other VMT reduction measures), both brownfield residential developments and LEED certified brownfield residential developments can be beneficial travel demand strategies, assisting federal, state and local governments with their GHG emissions reduction goals. Compared with conventional developments, residential brownfield developments can reduce VMT and its consequential environmental costs by about 52 and 66 percent respectively. LEED certified residential iv brownfield developments can have an additional 1% to 12% VMT reduction and a 0.03% to 3.5% GHG reduction compared with conventional developments. In addition to land use and travel demand management strategies, a number of supply congestion management measures were also assessed. Traffic signal timing and coordination is an effective congestion management strategy. However, not maintaining the timings regularly to assure they respond to vehicle volumes may result in 18 percent increase in …
Associations of eHealth Literacy With Health Behavior Among Adult Internet Users

Background In the rapidly developing use of the Internet in society, eHealth literacy—having the skills to utilize health information on the Internet—has become an important prerequisite for promoting healthy behavior. However, little is known about whether eHealth literacy is associated with health behavior in a representative sample of adult Internet users. Objective The aim of this study was to examine the association between eHealth literacy and general health behavior (cigarette smoking, physical exercise, alcohol consumption, sleeping hours, eating breakfast, eating between meals, and balanced nutrition) among adult Internet users in Japan. Methods The participants were recruited among registrants of a Japanese Internet research service company and asked to answer a cross-sectional Internet-based survey in 2012. The potential respondents (N=10,178) were randomly and blindly invited via email from the registrants in accordance with the set sample size and other attributes. eHealth literacy was assessed using the Japanese version of the eHealth Literacy Scale. The self-reported health behaviors investigated included never smoking cigarettes, physical exercise, alcohol consumption, sleeping hours, eating breakfast, not eating between meals, and balanced nutrition. We obtained details of sociodemographic attributes (sex, age, marital status, educational attainment, and household income level) and frequency of conducting Internet searches. To determine the association of each health behavior with eHealth literacy, we performed a logistic regression analysis; we adjusted for sociodemographic attributes and frequency of Internet searching as well as for other health behaviors that were statistically significant with respect to eHealth literacy in univariate analyses. Results We analyzed the data of 2115 adults (response rate: 24.04%, 2142/10,178; male: 49.74%, 1052/2115; age: mean 39.7, SD 10.9 years) who responded to the survey. Logistic regression analysis showed that individuals with high eHealth literacy were significantly more likely to exhibit the good health behaviors of physical exercise (adjusted odds ratio [AOR] 1.377, 95% CI 1.131-1.678) and eating a balanced diet (AOR 1.572, 95% CI 1.274-1.940) than individuals with low eHealth literacy. Conclusions We found that some health behaviors, including exercise and balanced nutrition, were independently associated with eHealth literacy among Japanese adult Internet users.
Detection of Arctic Ocean tides using interferometric GNSS‐R signals

This paper evaluates the usage of reflected GPS signals for Earth observations to study changes of sea level and sea‐ice in remote sensing. In a coastal setup, ∼670 m above Disko Bay (Greenland), signals with different carriers L1 and L2 were recorded. A method is presented that analyses the interferometric phase between the reflected and the direct signals and derives the height of the reflecting surface. The analysis includes a ray tracing and an estimation of signal coherence. It is shown that coherent reflections are related to sea‐ice coverage. Absolute heights are derived with a time interval of ∼30 min. The altimetric results show semidiurnal tides that are validated using the AODTM‐5 tide model. The residual height has a mean of 9.7 cm for L1 and 22.9 cm for L2. The dispersion is not significant but a significant tropospheric bias is detected with an error of up to 20 cm.
EMBEDDED TEST SYSTEMS

Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. This thesis presents the supervised learning algorithm to perform predicative data analytics in Embedded Test System at the Nordic Engineering Partner company. Predictive Maintenance is a concept that is often used in manufacturing industries which refers to predicting asset failures before they occur. The machine learning algorithms used in this thesis are support vector machines, multi-layer perceptrons, random forests, and gradient boosting. Both binary and multi-class classifier have been provided to fit the models, and cross-validation, sampling techniques, and a confusion matrix have been provided to accurately measure their performance. In addition to accuracy, recall, precision, f1, kappa, mcc, and roc auc measurements are used as well. The prediction models that are fitted achieve high accuracy.
Learned Query Superoptimization (Extended Abstract)

Traditional query optimizers are designed to be fast and stateless: each query is quickly optimized using approximate statistics, sent off to the execution engine, and promptly forgotten. Recent work on learned query optimization have shown that it is possible for a query optimizer to “learn from its mistakes,” correcting erroneous query plans the next time a plan is produced. Butwhatifqueryoptimizerscouldavoidmistakesentirely? Thispaperpresentstheideaoflearnedquerysuperoptimization. A new generation of query superoptimizers could autonomously experiment to discover optimal plans using exploration-driven algorithms, iterative Bayesian optimization, and program synthesis. While such superoptimizers will take significantly longer to optimize a given query, superoptimizers have the potential to massively accelerate a large number of important repetitive queries being executed on data systems today.
Eruption forecasting at Kilauea Volcano, Hawaii

Data from a network of seismometers, a tiltmeter and the pattern of summit inflation between eruptions have made qualitative eruption forecasting possible on Kilauea volcano for over 20 years. This paper formulates quantitative forecasting by calculating the probability of an eruption based on current levels of tilt, tilt rate, seismicity, and fortnightly tide. Plots of eruption probability as a function of various parameters are derived using a set of 29 eruptions during 1959–1979. The method tests the precursory significance of various parameters over different time scales and determines probabilities by comparing data before eruptions with data values generally. Tilt level is an eruption precursor significant to better than 99.9% when averaged over any interval from 1 to 20 days. Tilt rate is a precursor significant to better than 99.999%, but noise in the data requires that it be averaged over 30 days or more. Earthquakes are a short-term precursor significant to better than 99% when averaged over 1–10 days for larger earthquakes near the summit caldera and over 5–20 days for very small earthquakes within the caldera. The fortnightly modulation of tides influences eruption probability and has a precursory significance of 97%. Probabilities are independent of the time elapsed since the last eruption. The eruption probability, when tested against the eruption record from which it was derived, is significant to the 99.98% level when compared with random guessing. Ongoing 1-day, 7-day, and 30-day forecasts are calculated by computer at the Hawaiian Volcano Observatory and supplement the qualitative interpretation of geophysical data.
Accountability in re-arranged relations when Robotic Process Automation (RPA) becomes a co-worker

This study reports the findings from a research project about automated decision making in public sector focusing the changing role of the case worker in digitalized public administrations. During a round of interviews with front line case workers and middle managers at the Swedish Transport Agency (STA), the case worker sitting in front of us told us about this colleague who still had a lot to learn: “There is a lot he can’t do. Things that he might be able to learn. But he hasn’t yet” (Interview case worker STA). But it was not until after another two or so interviews that we realized that the colleague – Staffan1 – who the case worker talked about was not another human, but an automatic case worker (ACW), an example of Robotic Process Automation (RPA).
Effects of Clay Type and Content, Exchangeable Sodium Percentage, and Electrolyte Concentration on Clay Dispersion and Soil Hydraulic Conductivity

The hydraulic conductivities and gradients along soil columns packed with montmorillonitic, vermiculitic, and kaolinitic soils adjusted to different levels of exchangeable sodium were determined at different salt concentrations. The data show that plugging of pores by dispersed clay particles is a major cause of reduced soil hydraulic conductivity for surface soils irrigated with sodic waters. Additional Index Words: hydraulic conductivity, clay dispersion, sodic soils, exchangeable sodium, water quality. View complete article To view this complete article, insert Disc 4 then click button8
University of Birmingham Variable responses of small and large human hepatocytes to hypoxia and hypoxia/reoxygenation

Hypoxia and hypoxia–reoxygenation (H–R) regulate human hepatocyte cell death by mediating the accumulation of reactive oxygen species (ROS). Hepatocytes within the liver are organised into peri-portal (PP) and peri-venous (PV) subpopulations. PP and PV hepatocytes differ in size and function. We investigated whether PP and PV human hepatocytes exhibit differential susceptibility to hypoxic stress. Isolated hepatocytes were used in an in vitro model of hypoxia and H–R. ROS production and cell death were assessed using ﬂow cytometry. PV, and not PP hepatocytes, accumulate intracellular ROS in a mitochondrial dependent manner during hypoxia and H–R. This increased ROS regulates hepatocyte apoptosis and necrosis via a mitochondrial pathway. These ﬁndings have implications on the understanding of liver injury and application of potential therapeutic strategies. (cid:2) 2011 Federation of European Biochemical Societies. Published by Elsevier B.V. All rights reserved.
An analytical method for evaluating the underground hydrogen storage capacity in depleted gas reservoirs using CO 2 as cushion gas

Underground hydrogen storage (UHS) is an effective means to solve large-scale energy storage. The depleted gas reservoirs can be used as the potential targets for UHS due to its huge storage space, good sealing ability, and the existing facilities. CO 2 can be injected as the cushion gas to reduce the loss of hydrogen and achieve carbon sequestration. This work proposes a novel analytical method to calculate the hydrogen storage capacity in depleted gas reservoirs using CO 2 as cushion gas considering hydrogen storage safety and gas (e.g., CO 2 , H 2 , CH 4 ) dissolution in formation water. The multi-components (H 2 -CO 2 -CH 4 -H 2 O) material balance equations are further developed by considering the edge/bottom water and gas dissolution in water as well as caprock breakthrough and fault instability. The maximum operating pressure of UHS is determined by calculating the caprock-breakthrough pressure and the fault-instability pressure. The proposed method has been applied to evaluate the UHS capacity of a depleted gas reservoir in the Sichuan Basin of China. The maximum pressure threshold of formation is determined to be 42M. The hydrogen storage capacity under different CO 2 cushion gas volume conditions is calculated. The study compares with the model without considering dissolution, and the influence of sensitive factors such as temperature and pressure on hydrogen storage capacity is analyzed.
The Corporate Paradox: Power and Control in the Business Franchise

Since the late 1970s the emergence of franchising arrangements has been a major part of the wider process of change taking place in the nature of the modern business organization. The names of franchise companies are familiar to most people: Coca Cola, McDonalds, Pepsi-Cola, Wimpy, Body Shop, ServiceMaster, to name but a few. But how many people realize that each such outlet is a separate legal entity, owned by a local franchisee? Frachising has, at best, remained little understood. This book is an in-depth study of the franchise relationship and how it functions. While past debates have focused on the question: "What do bosses do? ", we are now being asked: "Who really is the boss? ". Alan Felstead explores who controls what, why and how, setting his discussion within the context of the many current changes affecting the traditional contractual bonds between employers and employees, producers and buyers, owners and managers. "The Corporate Paradox " should appeal to all those who wish to understand more about the organizational structures of well-known companies - companies about which little detail has been known until now.
Multi-port DC-DC converter modelling

: This paper is focused on bidirectional DC-DC converters in renewable energy systems. It discusses a triple active bridge (TAB) converter, including how to model, control, and simulate it. First, Kirchhoff's principles are used to identify the equations governing the converter's behaviour and then construct the system model. Next, the control system was developed using the plant's state-space representation. The closed-loop model Laplace transform and some simulator data provide the control technique. Finally, the simulator tools evaluate the system's stability and behaviour before and after management. The results show that the active converter may be used with renewable energy.
Teachers' Attitude towards Computer and E-learning: An Exploratory Study of Panjab University, Chandigarh, India

Important changes have been seen in the field of education due to the technological advancements. e-learning is an upcoming method that used technology to assist student learning. It is one of the tools that has emerged from information technology and has been integrated in many universities. The study presented here focuses on the relationship between faculty of student and their response and attitude towards e-learning. In light of literature it is recognized that faculty of students does play a role in understanding the satisfaction and experience of students in the education environment. This paper analyses the attitude of teachers towards e-learning. In this study 85 teachers teaching in 6 major faculties in Panjab University Chandigarh, India were analyzed. To measure the attitude of teachers a scale assessing computer and e-learning attitude was used. The results show a favorable bent of teachers towards e-learning. The results indicate no significant effect of gender or faculty of teacher in teacher's attitude towards computer and e-learning whereas a significant effect of age was seen on teachers attitude towards computer & e-learning The research outcomes can be used as an input for framing the e-learning platform or tool for implementing virtual learning environment in an educational setting through teachers.
Water repellency and its measurement by using intrinsic sorptivity

Measurements of intrinsic sorptivity (S*) by using both ethanol and water were used to indicate the extent of water-repellency in soil. Experiments with initially dry, acid-purified sand verified that in a non-repellent, nonswelling porous medium S' was indeed intrinsic to the medium, and independent of the sorbing liquid. For initially water-moist, non-repellent sand, the measured S* was different when ethanol and water were the invading fluids. But a bound can be put on this difference. It was concluded that in structurally stable soils, the ratio of S* from ethanol to that for water may be used as an index of water-repellency. In the laboratory, disturbance of repellent soil by sieving or shaking effectively removed the repellency. Subsequent incubation restored it. Field measurements of sorptivity, at a scaled negative surface potential, into an initially moist, fine, sandy loam were made. While the soil appeared to absorb water normally, the sorptivity for water was an order of magnitude lower than expected from the ethanol data. This was due, we suggest, to repellency. Some possible implications of this unexpected result are discussed.
Diversidad y ecología de epífitas vasculares en bosques montanos primarios y secundarios de Bolivia

We studied vascular epiphyte diversity in primary forest and adjacent 15 yr. old fallows in three different sites in the Yungas of Bolivia - in Andean foothill forest in the Parque Nacional Madidi (350 m), in submontane forest near Sapecho (500-1,200 m) and in montane forest in the Parque Nacional Cotapata (1,500-2,200 m). About 530 species of epiphytes (25 families, 113 genera) were recorded. Orchids were the most important family in terms of species number, followed by ferns. A 1.0 ha plot composed of eight subplots with a total surface of 0.32 ha of montane forest