Miracle-dz/UniFAR-FTUs huggingface dataset:
Unsteady Magnetohydrodynamic Convective Heat and Mass Transfer Past an Infinite Vertical Plate in a Porous Medium with Thermal Radiation, Heat Generation/Absorption and Chemical Reaction

These results might ﬁnd wide applications in engineering, such as geothermal system, heat exchangers, and nuclear waste depositors. This book introduces a number of selected advanced topics in mass transfer phenomenon and covers its theoretical, numerical, modeling and experimental aspects. The 26 chapters of this book are divided into five parts. The first is devoted to the study of some problems of mass transfer in microchannels, turbulence, waves and plasma, while chapters regarding mass transfer with hydro-, magnetohydro- and electro- dynamics are collected in the second part. The third part deals with mass transfer in food, such as rice, cheese, fruits and vegetables, and the fourth focuses on mass transfer in some large-scale applications such as geomorphologic studies. The last part introduces several issues of combined heat and mass transfer phenomena. The book can be considered as a rich reference for researchers and engineers working in the field of mass transfer and its related topics.
The historical range of variability of fires in the Andean-Patagonian Nothofagus forest region.

The present synthesis addresses key questions about several extreme fire events that occurred in the Nothofagus forest region of southern Argentina and Chile in the late 1990s and early 2000s: (1) are there historical precedents for the extent and severity of these recent wildfires? (2) To what extent can large, severe fires be attributed to influences from modern humans, either indirectly through land-use practices or directly through ignition? (3) What are the relationships of these fire events to interannual climatic variability and trends? (4) What are the medium-term ecological consequences of these fire events, particularly in terms of the resiliency of the burned ecosystems? Historic fire regimes vary greatly across the different ecosystem types in the southern Andean region, and the tree-ring record shows that before the 20th century, large severe fires also played a significant ecological role in shaping even the wettest forests. Recent severe droughts at an annual time scale have been facilitated by a trend towards higher temperatures since the mid-1970s. In large parts of the region, the risk of wildfire ignition and spread has been exacerbated by increases in lightning associated with higher temperatures, increased ignitions associated with exurban development, and conversion of less flammable native vegetation to more flammable plantations of exotic conifers.
STRESS: PERSONAL MATTER OR FAMILY AFFAIR? INTRA- AND INTER-INDIVIDUAL RELATIONSHIPS BETWEEN STRESS, PHYSICAL ACTIVITY, SEDENTARY BEHAVIOR, AND NUTRITION

Individual health behavior, which is determined by individual motives, emotions, and cognitive processes, is embedded in a social environment. One of the most important social environments is the family. According to Family Reciprocal Determinism, stress perceived by one family member becomes part of the family environment and may affect interactions within the family, as well as the health behavior of all family members. This study investigated 214 families, each represented by a mother, a father, and one of their children. The aim of the study was to examine intra- and inter-individual relationships between perceived stress and three health behaviors: physical activity, leisure-time sedentary behavior, and food consumption. The results indicate that individually perceived stress is related to individual health behavior as well as the health behavior of other family members. However, these relationships vary among family members. The inter-individual analyses revealed that this effect is strongest for the relationship of mothers’ stress to other family members’ health behavior. Investigating the link between perceived stress and health behavior from a family perspective may be useful for understanding the relationship between stress and health.
A hot Jupiter around the very active weak-line T Tauri star TAP 26

We report the results of an extended spectropolarimetric and photometric monitoring of the weak-line T Tauri star TAP 26, carried out within the MaTYSSE programme with the ESPaDOnS spectropolarimeter at the 3.6 m Canada-France-Hawaii Telescope. Applying Zeeman-Doppler Imaging to our observations, concentrating in 2015 November and 2016 January and spanning 72 d in total, 16 d in 2015 November and 13 d in 2016 January, we reconstruct surface brightness and magnetic field maps for both epochs and demonstrate that both distributions exhibit temporal evolution not explained by differential rotation alone. We report the detection of a hot Jupiter (hJ) around TAP 26 using three different methods, two using Zeeman-Doppler Imaging (ZDI) and one Gaussian-Process Regression (GPR), with a false-alarm probability smaller than 6.10^-4. However, as a result of the aliasing related to the observing window, the orbital period cannot be uniquely determined; the orbital period with highest likelihood is 10.79 +/- 0.14 d followed by 8.99 +/- 0.09 d. Assuming the most likely period, and that the planet orbits in the stellar equatorial plane, we obtain that the planet has a minimum mass M.sin(i) of 1.66 +/- 0.31 M_Jup and orbits at 0.0968 +/- 0.0032 au from its host star. This new detection suggests that disc type II migration is efficient at generating newborn hJs, and that hJs may be more frequent around young T Tauri stars than around mature stars (or that the MaTYSSE sample is biased towards hJ-hosting stars).
Gender and Ethnic bias in Letters of Recommendation: Considerations for School Counselors

School counselors write letters of recommendation for students pursuing postsecondary education and help teachers and staff prepare for this task. Although letters of recommendation may impact admission and scholarship opportunities, research about equity and bias in letters is minimal as compared to standardized tests, teacher expectations, and grading practices. In this study, researchers analyzed letters of recommendation for evidence of gender and racial bias. Results demonstrate small but significant differences by gender and race in the average length of letters as well as the types of language used to describe students. This article discusses implications for school counselors.
Predicting the perceived level of reverberation using machine learning

Perceptual measures are usually considered more reliable than instrumental measures for evaluating the perceived level of reverberation. However, such measures are time consuming and expensive, and, due to variations in stimuli or assessors, the resulting data is not always statistically significant. Therefore, an (objective) measure of the perceived level of reverberation becomes desirable. In this paper, we develop a new method to predict the level of reverberation from audio signals by relating the perceptual listening test results with those obtained from a machine learned model. More specifically, we compare the use of a multiple stimuli test for within and between class architectures to evaluate the perceived level of reverberation. An expert set of 16 human listeners rated the perceived level of reverberation for a same set of files from different audio source types. We then train a machine learning model using the training data gathered for the same set of files and a variety of reverberation related features extracted from the data such as reverberation time, and direct to reverberation ratio. The results suggest that the machine learned model offers an accurate prediction of the perceptual scores.
Manufacturing with the Internet of Things

have been using statistical process control and statistical data analysis to optimize production for years, the extreme composition of today’s data provide opportunities to deploy new approaches, infrastructure, and tools. Manufacturing industries are ready to embrace the use of big data, supported by higher compute performance, open standards, the availability of industry know-how, and the vast availability of highly skilled, data statisticians fueled by academics. With access to new manufacturing intelligence, manufacturers will improve quality, increase manufacturing throughput, have better insights into root cause of manufacturing issues, and reduce machine failure and downtime. With these new business values and technology capabilities, manufacturers will be able to change business models and practices in order to optimize Introduction
Energieeinsparverordnung 2009 und Erneuerbare-Energie-Wärmegesetz – Auswirkungen auf die Heizkosten und -systeme in Wohngebäuden

Ein möglichst kostengünstiges und ökologisches Heizsystem zu wählen, ist für Gebäudebesitzer von größter Wichtigkeit. Bisher gängige Antworten sind jedoch spätestens seit diesem Jahr nicht mehr uneingeschränkt gültig. Zum einen waren die Preise für Erdgas und Heizöl zuletzt starken Schwankungen unterworfen, zum anderen verändern neue gesetzliche Regelungen die Rahmenbedingungen erheblich. Die Energieeinsparverordnung von 2009 (EnEV 2009) mit ihren höheren Anforderungen an die Dämmung von Neubauten sowie das Erneuerbare-Energien-Wärmegesetz (EEWärmeG) beeinflussen die Kosten der verschiedenen Heizsysteme. Existierende Heizkostenvergleiche für Neubauten verlieren somit an Aussagekraft. Besonders bedeutsam aus energieund umweltpolitischer Sicht ist der Gebäudebestand – im Jahr 2008 wurde mit 174.600 neuen Wohnungen das niedrigste Neubauniveau seit der Wiedervereinigung verzeichnet, dem stehen rund 39 Mio. Bestandswohnungen gegenüber [1]. Vor dem Hintergrund der aktuellen Preislage für Rohstoffe und Heiztechnologien ist hier eine ökonomische Neubewertung der gängigsten Heizsysteme von Interesse. Im Fokus stehen dabei die regulatorischen Neuerungen und deren Auswirkungen auf Einund Mehrfamilienhäuser im Altund Neubau. Auf Basis einer annuitätischen Vollkostenrechnung wird im Folgenden aus der Sicht eines privaten Investors die Frage nach dem kostengünstigsten Heizsystem beantwortet und die Sensitivität der Ergebnisse in Bezug auf den unterstellten kalkulatorischen Zinssatz und Preisveränderungen untersucht.
Hyperbolic Mutual Funds This draft : October 2018

This paper shows hyperbolic languages in mutual funds’ shareholder letters contain important yet hidden information for differentiating luck and skill. Hyperbolic shareholder letters predict improving alphas for funds with inferior past performance, suggesting that the transient past performance is driven by bad luck instead of lack of skill. Further analyses reveal that the information in hyperbole is primarily about funds’ market timing ability rather than their stock picking ability, and is distinct from information in the tone or readability of the letters. Fund investors do not fully understand the implications of hyperbole: unlucky funds with hyperbolic letters suffer from more outflows than other bottom performers.
Object Detection and Its Implementation on Android Devices

Object detection is a very important task for different applications including autonomous driving, face detection, video surveillance, etc. CNN based algorithm could be a great solution for object detection with high accuracy. Besides, most current deep learning applications are running on servers or desktop computers. Considering there are a lot of mobile computing devices available, we implemented the CNN based object detection algorithm on Android devices. The model architecture is based on SqueezeNet to get image feature maps and a convolutional layer to find bounding boxes for recognized objects. The total model size is around 8 MB while most other object detection model takes more than 100 MB’s storage. The model architecture makes the calculation more efficient, which enables its implementation on mobile devices.
Reconstructing Histories: Analyzing Exhibition Photographs with Computational Methods

Displays of art in public or private spaces have long been of interest to curators, gallerists, artists and art historians. The emergence of gallery paintings at the beginning of the seventeenth century and the photographic documentation of (modern) exhibitions testify to that. Taken as factual documents, these images are not only representative of social status, wealth or the museum’s thematic focus, but also contain information about artistic relations and exhibition practices. Digitization efforts of previous years have made these documents, including photographs, catalogs or press releases, available to public audiences and scholars. While a manual analysis has proved to be insufficient, because of the sheer number of available data, computational approaches and tools allowed for a greater access. The following article describes how digital images of exhibitions, as released by the New York Museum of Modern Art in the fall of 2016, are studied with a retrieval system to analyze in which artistic contexts selected artworks were presented in exhibits.
A Dual Reality Simulation Environment for Cyber-Physical Systems

Recent advances on networked devices under different communication infrastructures and capabilities are reshaping the real of networked control systems. As a result of the integration of wireless devices in cyber-physical environments, a set of new challenges has arisen. Under this new paradigm, it is imperative to ensure that the underlying communication, computation and control methods are appropriately designed, and subsequently evaluated using very stringent metrics. Thus, in such a context, it becomes crucial the availability of simulation tools that could transparently aggregate components of a given real cyber-physical system with a virtual world entities counterparts, either wireless nodes, routers or even plants. This paper presents a dual reality environment that allows merging real networked applications with user deployed virtual counterparts, and the underlying realistic simulation of the overall dual cyber-physical system. A benchmark three-tank system under remote control over a wireless sensor and actuator network is used to illustrate how the simulator can be effectively used.
Innovation in logistic services and the new business model : a conceptual framework

Service industries hold an increasingly dynamic and pivotal role in today's knowledge‐based economies. The logistics industry is a classic example of the birth and development of a vital new service‐based industry, transformed from the business concept of transportation to that of serving the entire logistical needs of customers. Quantum advances in science, technology, and communication in the new millennium have compelled firms to consider the potential of the so‐called new “resources” (technology, knowledge and relationship networks) that are essential if firms are to operate effectively within the emerging business model, and to utilise the opportunities to innovate and gain market leadership. Through an extensive literature review, this paper examines the factors that nurture innovation in logistics services, identifies the contributions of the new “resources” and, using industry examples, examines the application of these resources to logistics firms as they assume an extended role within the new business model.
All-Optical Storage of Phase-Sensitive Quantum States of Light.

We experimentally demonstrate storage and on-demand release of phase-sensitive, photon-number superposition states of the form α|0⟩+βe^{iθ}|1⟩ for an optical quantized oscillator mode. For this purpose, we newly developed a phase-probing mechanism compatible with a storage system composed of two concatenated optical cavities, which was previously employed for storage of phase-insensitive single-photon states [Phys. Rev. X 3, 041028 (2013)PRXHAE2160-330810.1103/PhysRevX.3. 041028]. This is the first demonstration of all-optically storing highly nonclassical and phase-sensitive quantum states of light. The strong nonclassicality of the states after storage becomes manifest as a negative region in the corresponding Wigner function shifted away from the origin in phase space. This negativity is otherwise, without the phase information of the memory system, unobtainable. While our scheme includes the possibility of optical storage, on-demand release and synchronization of arbitrary single-rail qubit states, it is not limited to such states. In fact, our technique is extendible to more general phase-sensitive states such as multiphoton superposition or entangled states, and thus it represents a significant step toward advanced optical quantum information processing, where highly nonclassical states are utilized as resources.
Anti-inflammatory Effect of Strobilanthes crispus methanolic extract on Lipopolysaccharide-stimulated RAW 264 . 7 Macrophages

Inflammation is rapid response by body to deal with injuries, foreign particles and damaged cells. An unattended inflammation could lead to complication in cerebrovascular, cardiovascular system, joint and intestines. However, currently available conventional drugs exhibited adverse effects on many organ systems besides treating inflammation. Strobilanthes crispus, a native plant is believed to have anti-inflammatory property as it has been used in folk medicine to treat various diseases. Nevertheless, no scientific studies have been conducted to prove this traditional claim. Hence, this study focused on investigating the anti-inflammatory property of S. crispus on lipopolysaccharide (LPS)-stimulated RAW 264.7 macrophages experimental model. The maximum non-toxic dose (MNTD) of S. crispus methanol extracts and optimum LPS concentration were determined prior to determination of antiinflammatory effect of S. crispus. MNTD of S. crispus was determined using MTT assay and the optimum LPS was determined based on the production of nitric oxide (NO) using Griess reaction. Finally, the anti-inflammatory effect of S. crispus was determined by examining the NO and cytokines levels, namely interleukin-6 (IL-6) and interleukin-10 (IL-10) using Procarta immunoassay kit. The MNTD for S. crispus leaves and stem extracts was 160 μg/mL and 1.5 μg/mL, respectively. The optimum LPS needed to induce maximum inflammation was 1 μg/mL. Upon pre-treatment with half MNTD (1/2MNTD) of leaf extract, the production of NO was significantly reduced while MNTD of stem extract resulted in an increase in IL-10 level. On the other hand, no significant reduction of IL-6 production was seen upon treatment except for indomethacin, which acted as the positive control drug. The present results showed that S. crispus could possess anti-inflammatory properties on lipopolysaccharide-stimulated RAW 264.7 macrophages through suppression of NO production and increase in IL-10 level. Keywords— inflammation;interleukins;lipopolysacharride; nitric oxide; Strobilanthes crispus
Green Marketing In India: Emerging Opportunities And Challenges

Environmental issues have gained importance in business as well as in public life throughout the world. As society becomes more concerned with the natural environment, businesses have begun to modify their behavior in an attempt to address society's "new" concerns. Some businesses have been quick to accept concepts like environmental management systems and waste minimization Eco-friendly products, and have integrated environmental issues into all organizational activities. Green marketing is a phenomenon which has developed particular important in the modern market and has emerged as an important concept in India as in other parts of the developing and developed world, and is seen as an important strategy of facilitating sustainable development. Green marketing is a tool used by many companies in various industries to follow this trend. The development of green marketing has opened the door of opportunity for companies to co-brand their products into separate line, lauding the green-friendliness of some while ignoring that of others. The paper identifies the three particular segments of green consumers and explores the challenges and opportunities businesses have with green marketing. The paper also examines the present trends of green marketing in India and describes the reason why companies are adopting it and future of green marketing and concludes that green marketing is something that will continuously grow in both practice and demand. It also focuses some of the problems with green marketing.
Effect of Shilajit on Obesity in Hyperlipidemic Albino Rats

Background: Shilajit contains a large variety of several components with different anti-obesity effects on body metabolism and fat oxidation. Aim: To find out the effect of shilajit on obesity in hyperlipidemic albino rats. Study design: It is a case control interventional study of eight weeks. Methods: 40 male albino rats of 8 week size, weighing 220-250 grams were included in this study. To all groups, hyperlipidemic diet containing 20% fat and 1% cholesterol was given for 8 weeks. Group A of 10 rats was taken as control which was on hyperlipedemic diet throughout the experiment. Based on dosage (50, 100 and 200mg) of shilajit, rats were subdivided into three groups B,C and D of 10 rats in each group. In the next step, all rats were given hyperlipidemic diet. Freshly prepared aqueous suspension (in distilled water) of shilajit was used for each experiment. In the last step, the herbal (Shilajit) was administered by flexible gastric intubation to group B, C and D. All rats were weighed at 0,4 and 8 weeks Results: It is observed that with increase in dose of shilajit there is decrease in weight. It was observed that when high fat diet containing 20% fat and 1% cholesterol was given, there was a significant increase in weight of albino rats as compared to level of this parameter at zero week. However, it is observed that with a dose of 50 mg of shilajit, there was still increase in weight with a significant difference. We observed that with a dose of 100mg of shilajit, there was insignificant effect on weight reduction. It was observed that with a dose of 200mg of shilajit for 4-8 weeks, the weight was significantly decreased. Conclusion: It is concluded that shilajit with a dose of 200 mg may be effective for reduction of body weight . However further research is needed to give attention on both safety and efficacy of herb.