Miracle-dz/UniFAR-FTUs huggingface dataset:
Urban canopy shading: opportinities to reduce cooling requirements

As a result of the current economic and energy crisis, it has become necessary to rethink urban planning, starting from a global concept of efficiency and considering buildings not as isolated entities, but as part of an urban system, which consumes energy on a much larger scale. The connection between urban morphology and microclimate is a widely discussed question, including issues like the urban heat island phenomenon or outdoor comfort in open spaces. However, there is still a lot of work to be done regarding the influence of these microclimatic variations on building energy consumption. In that sense, would it be possible to apply efficient measures of microclimate modification on an urban scale to increase comfort levels in public spaces while at the same time, reducing building consumption? This paper focuses on urban canopy shading. Its effectiveness as a shading device and its capability to improve outdoor climate in areas with an excess of solar radiation is widely demonstrated. In this case, its effect on indoor climate of is evaluated. The case study is located in Cordoba (Spain), as an example of a climate with a hot and dry summer (according to CTE, level 4). A complete street canyon model has been created. Two buildings, one on each side of the street canyon, have been tested using an energy simulation software (Design Builder). Model features and simulation settings correspond to real values. Urban canopy shading effectiveness has been analyzed according to cooling demand decrease, taking into account both buildings. Spatial factors (street orientation, width-height ratio, windows-opaque ratio) and material factors (U-values and skin mass, % obstruction) have been considered. Results show 18% to 45% cooling demand decrease due to the canopy shading. Spatial factors are much more relevant than material factors: windows-opaque ratio is a determining factor, in contrast to mass and U-values. This study shows the importance of evaluating both urban facades, which means working from an urban perspective beyond the local scale of a single building.
Mapping of Post-Transcriptional Regulatory Networks by Means of Mechanistic and High Throughput Data

Post-transcriptional regulation of gene expression (PTR) is the process responsible for modulating mRNA levels and the related amount of protein. Initially thought to have a limited impact on cell phenotype, it has become increasingly recognized as a strong determinant of the quantitative changes in proteomes, and therefore a driving force for cell phenotypes. Untranslated regions of mRNAs (UTRs) are the core mediator of this process, containing sequence and structural elements bound by various kind of regulators, which influence nuclear export, localization, stability of mRNAs and their translation rates, as well as capping, alternative splicing and polyadenylation of the transcribed pre-mRNA. One of the most important classes of PTR factors are the RNA-binding proteins (RBPs), whose human genome complement is at least 800 genes, characterized by the presence of different functional domains. RBPs bind to the 5’UTR of a transcript often to modulate translation initiation, and to the 3’UTR usually to influence its stability or translatability. Another major group of actors in PTR are noncoding RNAs (ncRNAs). Among them are various classes of long ncRNAs (lncRNAs), the intensively studied microRNAs (miRNAs), siRNAs (small-interfering RNAs) and several other RNA types. miRNAs bind to 3’UTRs by means of short regions of perfect sequence complementation or with some mismatches. Both RBPs and ncRNAs bind mRNAs to the so-called cis-elements, found primarily in 5’ and 3’ UTRs. These elements can be represented as recurring RNA sequences or secondary structures to which the trans factors bind to exert a control over the mRNA. In order to integrate the available experimental data, we have developed AURA, a database offering a comprehensive view of the phenomena through regulatory data including RBP and miRNA binding sites, cis-element annotations, secondary structures, phylogenetic conservation, SNPs, RNA-editing data, gene expression profiles and more. A dynamic graphical interface allows the user to browse through the UTRs in an easy and seamless way. To further enrich this body of data, we also implemented a pipeline for the identification of hyperconserved elements in human UTRs, which we applied to both 5’ and 3’UTRs. We were thus able to recover known and novel PTR mechanisms involving RBPs, including an RBP network controlled by HuR. We are eventually applying the results of these works to infer altered, and thus potentially disease-related, PTR mechanisms in an highthroughput neuroblastoma dataset.
MWNTs/Polyester Thin Film Nanocomposite Membrane: An Approach To Overcome the Trade-Off Effect between Permeability and Selectivity

An improved process to prepare MWNTs/polyester thin film nanocomposite membranes was initiated by interfacial polymerization of trimesoyl chloride (TMC) and triethanolamine (TEOA) solution containing MWNTs. The improved process was facilely done by immersing the support membrane into the organic phase before the conventional process of interfacial polymerization. The TEM images showed that the MWNTs were embedded throughout the polyester thin film layer. The MWNTs/polyester thin film nanocomposite membrane prepared via the improved process exhibited both high permeability and excellent selectivity when compared with the thin film composite membrane without MWNTs and the MWNTs/polyester thin film nanocomposite membrane prepared via the conventional process. The water permeability increased upon an increase of reaction time of TMC-saturated support membrane immersed into aqueous phase (step-1), reaching a maximum of 4.7 L/m2 h at 25 min, while the membrane rejection rate kept increasing. The role of step-1 .
The Ubiquity of Cross-Domain Thinking in the Early Phase of the Creative Process

To what extent are creative processes in one domain (e.g., technology) affected by information from other domains (e.g., music)? While some studies of professional creators suggest that creative abilities are domain-specific, other studies suggest that creative avocations stimulate creativity. The latter is consistent with the predictions of the honing theory of creativity, according to which the iterative process culminating in a creative work is made possible by the self-organizing nature of a conceptual network, or worldview, and its innate holistic tendency to minimize inconsistency. As such, the creative process is not restricted to the creative domain; influences from domains other than that of the final product are predicted to impact the creative process and its outcome. To assess the prevalence of cross-domain influences on creativity we conducted two studies: one with creative experts, and one with undergraduate students from diverse academic backgrounds. Participants listed both their creative outputs, and the influences (sources of inspiration) associated with each of these outputs. In both studies, cross-domain influences on creativity were found to be widespread, and indeed more frequent than within-domain sources of inspiration. Thus, examination of the inputs to, rather than the outputs of, creative tasks supported the prediction of honing theory that cross-domain influences are a ubiquitous component of the creative process.
Developing Business Models for Urban Water, a Startup Company in Copenhagen, Denmark

ii EXECUTIVE SUMMARY . iii TABLE OF CONTENTS . vi LIST OF FIGURES . vii AUTHORSHIP. ix ACKNOWLEDGEMENTS . x CHAPTER 1: INTRODUCTION . 1 CHAPTER 2: BACKGROUND . 2 2.1. Backwater Flooding in Denmark . 2 2.1. 2. Impacts of Backwater Flooding in Denmark . 3 2.1. 3. Backflow Prevention Methods . 4 2.2. Urban Water ApS. 5 2.2.1 The Backwater Valve . 5 2.2.2. Data Collection Service . 6 2.2.3. Current State of Urban Water . 6 2.3. Project Overview . 7 CHAPTER 3: VALUE PROPOSITIONS FOR URBAN WATER . 8 3.1. The Value Proposition Canvas . 8 3.2. Customer Group Interviews . 9 3.3. Formalized Value Propositions . 10 CHAPTER 4: BUSINESS MODELS FOR THE URBAN WATER VALVE . 12 4.1. Business Model Frameworks . 12 4.1. 1. The Value Proposition Method . 12 4.1. 2. The Business Model Canvas . 13 4.2. Analyzing Competitors of Urban Water . 14 4.3. Finalized Business Model . 15 CHAPTER 5: TARGETING FLOOD-PRONE MARKETS . 17 5.1. Mapping Flood Risk and Potential Customers . 17 5.2. Expanding into the US Market . 18 5.3. Locating Customers in Other Geographic Areas . 20 CHAPTER 6: RECOMMENDATIONS . 21 REFERENCES. 24 APPENDICES . 27 Appendix A: Introduction and Preamble for Interviews . 27 Appendix B: Generic Interview Questions . 27 Appendix C: C.F. Møller Interview . 28 Appendix D: Orbicon Interview. 29 Appendix E: Tryg Interview . 31 Appendix F: Hotel Nine Små Hjem Interview . 33 Appendix G: Value Proposition Template . 34 Appendix H: Value Proposition Spreadsheets . 35 Appendix I: The Business Model Canvas . 39 Appendix J: Urban Water Competitor Profiles . 39 Appendix K: Business Model Deliverable . 42 Appendix L: American Flood Risk Profiles . 46
Abstrak Pengenalan wajah adalah proses identifikasi manusia dengan menggunakan gambaran raut wajah. Dengan semakin meluasnya penggunaan komputer, diharapkan kemampuan pengenalan wajah dapat diadopsi pada perangkat pintar tersebut. Pada kasus seperti pemotretan untuk pembuatan KTP, SIM, dan kartu kre

Face recognition is the process of human identification using facial features picture. With the increasingly widespread use of computers, is expected to face recognition capabilities can be adopted on the smart device. In such cases the photo shoot for the manufacture of ID cards, driver's license, and credit cards, the image obtained generally contains only one face and has a uniform background and lighting conditions that have been set in advance so that the face detection can be done easily. One method that is used for face recognition is eigenface method. Eigenface utilization can be done in various fields, one of which is the security field. At the time of taking the image of the face there are many variations of photometric and geometric variations, causing facial recognition system can not detect the original face contained in the database, then to tackle these problems can use the histogram equalization method. Histogram equalization is a method in image processing that enhance the image contrast in general, this method is also useful for the backgrounds and foregrounds that are both bright or both dark. This research is expected to improve the accuracy of the results of face recognition system using Eigenface and histogram equalization method.
Combined NN/RISE-based Asymptotic Tracking Control of a 3 DOF Robot Manipulator

Robotic control is an interesting subject due to its extensive industrial applications. This paper proposes a new continuous control design for tracking problem of a three degree-of-freedom (DOF) robot manipulator in presence of uncertainties and bounded external disturbances. The proposed method is based on the combination of the recently developed robust integral of the sign of the error (RISE) feedback and neural network (NN) feed forward terms. In this control strategy, a feed forward NN is utilized to compensate uncertainties of the nonlinear system. Furthermore, the RISE feedback control term is used to eliminate the NN approximation error and bounded external disturbances. Typical NN-based controllers generally provide the convergence only with uniformly ultimately bounded (UUB) error due to the NN reconstruction error. However, the proposed method guarantees asymptotic tracking by eliminating this error. Using Lyapunov stability analysis, a semi-global asymptotic tracking of the robot joints is achieved. Besides, a comparative study on the system performance is conducted between the proposed control strategy and an NN-based controller. Simulation results demonstrate that the proposed controller is robust to deal with uncertainties, and verify the effectiveness of the proposed control scheme.
Effect of the manipulation of exercise order in the tri-set training system

The aim of this study was to analyze the effect of the manipulation of two different exercise orders using the tri-set system on the motor performance in exercises for the chest. Ten male (25.6 ± 5.7 years, 77.0 ± 5.8 kg, 172.9 ± 5.0 cm, 25.7 ± 1.4 kg/m 2 ) with experience in resistance training underwent two experimental sessions, in which the subjects performed two sequences of exercises for the chest: SEQA (bench press, in- cline bench press, and peck deck) and SEQB (peck deck, incline bench press, and bench press). The load used allowed 8 to 12 repetitions (80% of 1RM) in each exercise. A higher number of repetitions (29 ± 2 reps vs. 26 ± 3 reps, P < 0.001) and a greater total overload (resistance used x repetitions performed = 1,942 ± 172 kg vs. 1,728 ± 234 kg, P < 0.001) were observed in SEQB. The results suggest that in the tri-set system the higher number of repetitions and a greater training volume occur when the single-joint exercise is included before multiple-joint exercises.
Semi-supervised learning combining transductive support vector machine with active learning

In typical data mining applications, labeling the large amounts of data is difficult, expensive, and time consuming, if annotated manually.To avoid manual labeling, semi-supervised learninguses unlabeled data along withthe labeled data in the training process. Transductive support vector machine (TSVM) is one such semi-supervised, which has been found effective in enhancing the classification performance. However there are some deficiencies in TSVM, such as presetting number of the positive class samples, frequently exchange of class label, and its requirement for larger amount of unlabeled data. To tackle these deficiencies, in this paper, we propose a newsemi-supervised learning algorithm based on active learning (AL) combined with TSVM. The algorithm applies active learning to select the most informative instances based on the version space minimum-maximum division with human annotation for improve the classification performance.Simultaneously, in order to make full use of the distributioncharacteristics of unlabeled data, we addeda manifold regularization term to the objective function.Experiments performed on severalUCI datasetsdemonstrate that our proposedmethod achieves significant improvementoverother benchmark methods yet consuming less amount of human effort, which is very important while labeling data manually.
Antimicrobial potentials of endophytic fungi inhabiting three Ethno-medicinal plants of Similipal Biosphere Reserve, India

Fungal endophytes have been studied from three ethno medicinal plants of Similipal Biosphere Reserve. All the plants were found colonized with endophytic fungi. The endophytes were isolated using three different mycological media namely potato dextrose agar (PDA), malt extract agar (MEA) and water agar (WA). Maximum endophytes were isolated in PDA and minimum on WA medium. Altogether 60 fungal endophytes belonging to 14 genera were isolated from the three medicinal plants. Out of which, 31 endophytes (51.66%) were obtained as filamentous forms and 29 of them (48.33%) as yeast colonies. Species of Curvularia, Fusarium, Alternaria and Penicillium were isolated as dominant and host specific endophytes. Out of the 31 fungal endophytes isolated as filamentous forms, 13 isolates (41.9%) could display antimicrobial activity inhibiting at least one of the test pathogens. Among the potent strains, 19.3% displayed both antibacterial and antifungal activity and 6.4% strain showed antimicrobial activity against all the test pathogens. An endophytic fungus identified as Fusarium sp. displayed significant antimicrobial activity. The crude extract of this endophytic strain was very effective against the bacterial pathogens and moderately active against the fungal pathogens. The study reinforced the assumption that endophytes of ethno medicinal plants could be a promising source of antimicrobial substances.
A Hot Topic Identification Based on LDA and K-means++ Algorithm for Tibetan Microblog

as microblog grows more popular, services like Sina Weibo have become information providers on a web scale. Tibetan microblog is one of the most popular Tibetan network media. Researches on Tibetan microblog are now increasing. However, because of the special features of microblog text and the features of Tibetan language, traditional hot topic method of microblog cannot satisfy the need. This paper proposes a method that is a hot topic identification based on LDA and K-means++ algorithm for Tibetan microblog. Firstly, we use LDA to model microblog corpus to determine the best number of themes by the perplexity, and achieve parameters estimation with Gibbs sampling algorithm, then we can get the probability distribution of the theme and the word and the probability distribution of the theme and the document. Secondly, this paper use K-means++to cluster Tibetan microblog which have same or similar theme. Thirdly, we calculate and identify hot topics and hot words. Experimental results show that, compared with SVM method and LSA+K-means++ method, the accuracy of this method of LDA+K-means++ is higher.
New Developments in Automatic General-to-specific Modelling

We consider the analytic basis for PcGets, an Ox Package implementing automatic generalto-specific (Gets) modelling for linear, dynamic, regression models. PcGets mimics the theory of reduction ‐ whereby empirical models arise ‐ by commencing from a general congruent specification, which is then simplified to a minimal representation consistent with the desired selection criteria and the data evidence. We discuss the properties of PcGets, since results to date suggest that model selection can be relatively non-distortionary, even when the mechanism is unknown, and contrast Gets with possible alternatives.
TKEY Vulnerability in BIND DNS Server

The Domain Naming System (DNS) has been a core technology to the usefulness of the Internet since the beginning of its public introduction. The ability to associate an English-readable fully qualified domain name (FQDN) with an IPv4 address is crucial to its user-friendliness. Due to its age, several flaws have been discovered in its code, one of the more recent being referenced as CVE-2015-5477, which affects all versions of Berkeley Internet Naming Daemon (BIND) available before July 31, 2015. We will cover what this error is, describe and test its effectiveness against an older BIND v. 9.9. 6 server, and discuss options for resolving the issue.
Processing of Epoxy/Graphene Nanocomposites: Effects of Surfactants

The use of graphene has attracted lots of attention in recent years because of its excellent performance in mechanical, electrical and thermal applications. Graphene can significantly improve the properties of epoxy at extremely low loadings. Herein, epoxy/grapheme nanocomposites have been prepared to explore the properties enhancement of graphene in epoxy matrix. However, due to the strong van der Waals force on separately dispersed graphene surface, graphene tends to re-aggregate in epoxy matrix. In this work,Sodium Dodecyl Sulphate (SDS) and Gum Arabic (GA)have been selected to disperse graphene.Tensile properties, flexural properties and hardness, etc have been tested to evaluate the effectiveness. After introduced SDS, the tensile strength of nanocomposites increased to 70.4 MPa, the glass transition temperature increased to 76.96°C, compare to that of 64.46 MPa and 69.28°C for 0.3 wt% epoxy/graphene samples and 57.23 MPa and 66.08°C for neat epoxy samples. Nanocomposites prepared with GA also showed moderate increment. The results show that with the incorporation of graphene, the properties of epoxy improved significantly.Moreover, SDS and GA further increased the properties of nanocomposites. SDS shows better dispersion effect than GA.
Evolution of the Magma Chamber beneath Usu Volcano since 1663: a Natural Laboratory for Observing Changing Phenocryst Compositions and Textures

We have investigated the evolution of an active silicic magma-feeding system beneath Usu volcano, Japan, where eight eruptions have been recorded since AD 1663. All magmatic products contain similar types of plagioclase and orthopyroxene phenocrysts that consist of homogeneous cores with uniform compositions, and a zoned mantle that increases in size with time. The compositions of plagioclase and orthopyroxene phenocrysts vary gradually and regularly with time, as do the bulk-rock compositions. The texture of these phenocrysts also changes systematically, caused by progressive crystal growth, dissolution and diffusion. On the basis of these observations, we conclude that the same magma-feeding system has persisted at Usu volcano since AD 1663. Compositional variation of magnetite phenocrysts differs from that of plagioclase and orthopyroxene, because magnetite has large diffusion coefficients and should represent magmatic conditions immediately before the eruption. Most pumices from Usu volcano contain two types of magnetite phenocryst, each with a different composition and crystallization temperature, indicating that two magmas mixed before each eruption (approximately several days before). The end-members changed with time: rhyolite þ basaltic andesite (1663); dacite rhyolite (1769, 1822, 1853); dacite dacite (1977, 2000). The temperature of the magma apparently increases with time, and the increase can be explained by sequential tapping from a magma chamber with a thermal and chemical gradient in addition to injection of high-temperature magma.
Linear Elastic Fracture Mechanics Pullout Analyses of Headed Anchors in Stressed Concrete

The results of research initiated in the early 1980s led to the replacement of plasticity-based design guidelines for the load-carrying capacity of headed anchors embedded in concrete with those developed using fracture mechanics. While provisions are available in the design codes that account for the presence of tensile fields causing concrete cracking, no provisions are available for anchors embedded in prestressed concrete. This paper presents the results of linear elastic fracture mechanics LEFM analyses and of a preliminary experimental investigation of the progressive failure of headed anchors embedded in a concrete matrix under compressive or tensile prestress. The model predicts an increase decrease in load-carrying capacity and ductility with increasing compressive tensile prestress. It is shown that despite neglecting the dependence on size of concrete fracture toughness, LEFM predicts with remarkable accuracy the functional dependence of the ultimate capacity on prestress.