Miracle-dz/UniFAR-FTUs huggingface dataset:
Impacts of Partly Cloudy Pixels on Shortwave Broadband Irradiance Computations

Because of the limitation of the spatial resolution of satellite sensors, satellite pixels identiﬁed as cloudy are often partly cloudy. For the ﬁrst time, this study demonstrates the bias in shortwave (SW) broadband irradiances for partly cloudy pixels when the cloud optical depths are retrieved with an overcast and homoge- neous assumption, and subsequently, the retrieved values are used for the irradiance computations. The sign of the SW irradiance bias is mainly a function of viewing geometry of the cloud retrieval. The bias in top-of- atmosphere (TOA) upward SW irradiances is positive for small viewing zenith angles (VZAs) ,; 60 8 and negative for large VZAs . ; 60 8 . For a given solar zenith angle and viewing geometry, the magnitude of the bias increases with the cloud optical depth and reaches a maximum at the cloud fraction between 0.2 and 0.8. The sign of the SW surface net irradiance bias is opposite of the sign of TOA upward irradiance bias, with a similar magnitude. As a result, the bias in absorbed SW irradiances by the atmosphere is smaller than the biases in both TOA and surface irradiances. The monthly mean biases in SW irradiances due to partly cloudy pixels are , 1.5Wm 2 2 when cloud properties are derived from Moderate Resolution Imaging Spectroradi-ometer (MODIS) aboard Aqua .
Aqueous Leaf Extract of Duranta repens Promotes Seed Germination and Seedling Growth of Salinity-Stressed Solanum lycopersicum Seedlings

Aqueous extract of Duranta repens leaves was investigated for its allelopathic effect on Solanum lycopersicum seedlings germinated and grown under salinity condition. The study was carried out using both laboratory petridish and pot assays to simulate the plant’s immediate environmental conditions. The experiment consisted of 5 groups (1-5) each containing 4 replicates (of 10 seeds). Group 1 was treated with distilled water; Group 2 was treated with 5 mM NaCl; Group 3 was treated with Duranta repens aqueous leaf extract, Group 4 was treated with a mixture of 5 mM NaCl and the extract (2:1 v/v) and Group 5 was treated with a mixture of 5 mM NaCl and the extract (1:2 v/v). Results from the studies revealed that treatment with NaCl caused significant (p < 0.05) reduction in percentage germination and growth parameters (plumule and radicle lengths) of S. lycopersicum seedlings, when compared to those treated with distilled water and D. rupens aqueous leaf extract. NaCl treatment (Group 2) also caused an increase in malondialdehyde (MDA) and also increased the activities of superoxide dismutase (SOD) and catalase (CAT) while reducing chlorophyll concentration of the plants. However, in the presence of the extract, the adverse effects of the NaCl were attenuated, implying that the extract improved tolerance of S. lycopersicum seedlings. In conclusion, the findings of this study indicate that the constituents of the extract may play a positive role in plant survival under saline conditions and could be employed in the management of soil salinity problem in agriculture.
Mehrdad Bagheri' Thesis_last2

We have used photothermal cantilever deflection spectroscopy (PCDS) for selective and sensitive detection of hydrocarbons with a particular emphasis on monitoring naphtha physisorbed on cantilevers. In PCDS, molecules physisorbed on a bi-material microcantilever are illuminated with a mid-infrared light from a monochromator. Here, we report on detecting and molecularly discriminating nanogram quantities of hydrocarbons on the cantilever using PCDS technique. The obtained PCDS and traditional IR spectroscopies results are in excellent concurrence. We also developed a technique to determine the effective convection heat transfer (h) for the microcantilevers used in our PCDS experiments by measuring the bending of the cantilever in response to the variations of the cantilever base temperature Tb. The designed experiment is straightforward and accurate. This yields a value of 1350-1650 W/k.m. We point out that the thermal sensitivity and the optimum thickness ratio of bi-material cantilevers used in PCDS setups depends on h.
PHENOTYPIC CHARACTERIZATION OF SENEGALESE PEUL-PEUL SHEEP.

Peul-peul sheep population is numerically the most important among sheep raised in Senegal. It is well adapted to the extensive farming system in the arid zone and plays an important socio-economic role in rural and urban livelihood. Despite to this importance, few studies have been done on this breed. In order to contribute to better knowledge of this breed, the objective of this study was carried out phenotypical characterization of Peul-peul sheep. In four eco-geographical zones of Ferlo, nine (9) phenotypic traits were measured on one hundred and ninety-seven (197) unrelated sheep aged at least 3 years old. All results were expressed as an average with the corresponding standard error. Student t and Kruskal-Wallis tests were used to analyze differences between sex and zone sources of variation respectively for parametric and non-parametric variables. The main results show that Peul-peul sheep has 70.2 ± 3.8 cm for height at withers, 63.6 ± 3.9 and 80.6 ± 5.3 cm respectively for body length and chest girth . Sexual dimorphism is marked between males and females with significant differences. Considering, eco-geographical zones, potential ecotypes reported could be due to difference in animal husbandry practices and / or introgression of genes from other sheep breeds.
Do perceptions about barriers to construction product innovation adoption vary according to a firm’s position in the supply-chain?

Purpose: Product innovation is examined as a means of addressing infrastructure shortages in developed economies and to improve the sustainability of infrastructure. The obstacles to product innovation adoption in the road industry are compared between different groups in the supply-chain in order to provide guidelines for interventions to improve innovation rates. Design: This exploratory study employs descriptive data from a large scale survey of the Australian road industry. The three top-rated product innovation obstacles for four supply-chain groups are examined: contractors, suppliers, consultants and clients. Society relies on urban infrastructure for daily living and the current study contributes to stretching infrastructure investment dollars and reducing the environmental impact of infrastructure provision. Originality/Value No previous study has compared the perception of product innovation obstacles across different road industry supply-chain groups. This is a significant gap, as differences in opinions across the supply chain need to be understood in order to develop the shared expectations and the improved relationships required to improve product innovation rates. Product innovation is important because it has been shown to improve efficiency (potentially addressing the road investment gap) and reduce deleterious environmental impacts.
CLASSIFICATION TECHNIQUE OF MACHINE LEARNING AS SPECIES DISTRIBUTION MODEL FOR EXOTIC FISH IN RIVERS

The prevalence of exotic species has been a major ecological problem all over the world, and Japan is no exception. This study modelled distributions of five exotic fish species (channel catfish, bluegill, largemouth bass, smallmouth bass and mosquitofish) in major rivers in Kanto region by using classification techniques: classification and regression trees (CART) and random forest (RF). National Census on River Environments was used as a response and predictor variables. Both models showed high prediction accuracy for all exotic species, and RF outperformed CART. Suitable habitat ranges of the fish estimated by RF were well accorded with the ranges reported based on observations. Additionally, the result was presented also as the species distribution map as an example of its application. Overall, this research demonstrated the importance of the combination between advanced statistical approach (CART and RF) and detailed environmental data.
lntrace!Iular Expression of an Antibody Fragment-neutralizing p21 Ras Promotes Tumor Regression1

Mutated ras genes are found in a large number of human tumors and, therefore, constitute one of the primary targets for cancer treatment. Microinjection of the neutralizing anti-Kas monoclonal antibody Y13-259 was previously reported to induce transient phenotypic reversion of ra.v-trans-formed rodent fibrohlasts in vitro. \Ye have prepared a single-chain Fv fragment (scKv) derived from Y13-259, and here, we show that intracellular expression of the scFv led to the specific inhibition of the Kas signaling pathway in Xenopus laevis oocytes and N1H3T3 fibroblasts. Moreover, neu tralizing Ras with the scFv specifically promoted apoptosis in vitro in human cancer cells but not in untransformed cells. As a step toward cancer gene therapy, we finally demonstrated that iniratinimi transduction of IK II Id colon carcinoma cells with the anti-Kas scFv using an adcnoviral vector elicited sustained tumor regression in nude mice.
Boosting Stemmer Performance Using Cache Method

Stemming is the process of returning the word to the base word by disappearing the append. This is important to support better information re-meeting. Some research in stemming algorithms includes nazief &adriani algorithms, confix stripping, enhanced confix stripping, arifin and porter algorithms. The stemming algorithm for Bahasa Indonesia is divided into two, namely those that use a dictionary and do not use a dictionary. Some studies have shown that stemmers that use dictionary have high accuracy but low process speed, while stemmers that do not use dictionary have low accuracy but higher process speed. In this study, two methods were used: the stemmer method using cache and stemmer without cache to see the comparison of process speed from stemmers that use dictionary. The test data for this study is text data obtained from the corpus site. Process analysis is completed by calculating each speed, memory usage and cpu of each method, then each method is compared. Results from tests from test data showed that the cache method improved stemmer performance.
HOTEL CLASSIFICATIONS IN TRAVEL REVIEW DATASET

Travel and Tourism sector has vast growth in a current situation. So Recommender models are embryonic as a necessary to travel and tourism sector. Due to usage of Social media in current situation, huge volumes of recorded fact have been developed. Traditional system may not be enough for managing these kinds of data. So new system need to be developed in this research work based of the hotel classification made in travel and review dataset. These researches focus on the various classifications and visualize threshold curve measurements and time taken to build the each model. More or less Meta and Rules classifier have been produced the highest accuracy in this research work.
The biological basis of intertemporal choice and the design of debiasing institutions

L’escompte hyperbolique ou myopie decisionnelle a ete correlee a des problemes de croissance dans differentes regions du globe (Mullainathan 2005), le changement climatique (Dasgupta 2008), la faiblesse de l’epargne (Thaler et Benartzi 2004), et d’autres problemes economiques. Nous developpons l’hypothese selon laquelle une meilleure comprehension des bases psychologiques et biologiques de l’incoherence des choix intertemporels permettra de mieux evaluer la pertinence et l’efficacite des politiques publiques visant a contrecarrer les effets de ces anomalies comportementales individuelles au niveau agreges. La neurobiologie des choix intertemporels peut aider les approches dites « paternalistes douces » a selectionner finement les environnements institutionnels qui, sans entamer l’autonomie des choix individuels, contribueraient a les rendre generalement plus optimaux. L’approche neuroscientifique du choix intertemporel contribue a l’ecologie des systemes sociaux futurs dans la mesure ou elle permet de confirmer certaines hypotheses evolutionnaires sur la selection des comportements d’escompte hyperbolique. A travers ce type de confirmation, cette approche permet de deplacer l’idee paternaliste traditionnelle d’une adaptation des individus a des cadres institutionnels incorporant certains principes normatifs de rationalite, en faveur d’un paternalisme doux (ou d’un non-paternalisme tout court) qui cherche a adapter les environnements institutionnels a la realite biologique des individus.
Self-Force Reduced Finite Element Poisson Solvers for Monte Carlo Particle Transport Simulators

The purpose of this master’s thesis is to implement a Finite Element Poisson solver for a Monte Carlo particle transport simulator without the influence of self-forces. Self-forces are unphysical forces that come into existence when symmetries are not taken into account in a particle-mesh coupling. These self-forces are handled using Kalna’s self-force reduction method. A central subject for particle transport simulators are that they need a particle-mesh coupling scheme, this is done using a Dirac delta function in the nearest-element center scheme. The particles’ locations in the triangulation are needed for the particle-mesh coupling, and they are found using Guiba’s and Stolfi’s Point location algorithm. A linear basis is used for the Finite Element method, and the contacts are dealt with using conditions of thermal equilibrium and charge neutrality. To solve the linear system in the discretization, preconditioned Conjugate Gradient method is implemented together with the preconditioners ILUT and ILU0. The usage of these methods and their parameters are discussed, and simulations of a PN-junction is performed to verify that the implementation is working. Improvements to the self-force reduction and the particle location algorithm are made, and a relationship between the background charge, the particle charge, and the element size is found. This relationship is used for the characteristic step length to generate a near-optimal mesh. It is found that the implementation is successful and can be used in the Monte Carlo particle transport simulator to simulate semiconductor devices. Sammendrag Hensikten med denne masteroppgaven er å implementere en Endelige Element Poisson løser for Monte Carlo partikkeltransportsimulatorer uten innflytelse av egenkrefter. Egenkrefter er fiktive krefter som følger ved bruk av partikkel-element kobling uten hensyn til symmetrier. Egenkrefter blir fjernet ved å bruke Kalnas egenkrefterreduksjon. Et sentral tema for partikkeltransport er at de trenger en kobling mellom partikler og noder. Dette er gjort ved å bruke Dirac delta funksjonen i nærmeste element senter. Partiklenes posisjon i trianguleringen er funnet ved bruk av Guibas og Stolfis punktlokaliseringsalgoritme. En lineær basis er brukt i Endelig element metode og kontaktene er implementert ved å bruke termisk likevekt og ladningsnøytralitet som betingelser. For å løse det lineære likningssystemet i Endelig element metode brukes forbehandlet konjugerte gradienters metode sammen med forbehandlerene ILUT og ILU0. Bruken av disse metodene og deres parametere blir diskutert og
Pressure-induced commensurate order in TbMn 2 O 5 and DyMn 2 O 5 : Influence of rare-earth anisotropy and 3 d – 4 f exchange

The magnetic structure of TbMn 2 O 5 and DyMn 2 O 5 multiferroics has been studied by high-pressure neutron diffraction in a large pressure range up to 6.6 GPa. In both cases, we observe a pressure-induced commensurate magnetic phase with propagation vector ( 12 0 12 ), growing with pressure at the expense of the ambient pressure phases. Being previously observed in YMn 2 O 5 and PrMn 2 O 5 , this phase is most likely a generic feature of the R Mn 2 O 5 multiferroic family. A simple model is proposed to explain qualitatively the emergence of this pressure-induced phase. Differences between TbMn 2 O 5 and DyMn 2 O 5 behaviors at ambient and low pressures provide clues on the interaction scheme.
Utilizing Dual Neural Networks as a Tool for Training, Optimization, and Architecture Conversion

ii Acknowledgments. iii List of Figures . viii List of Tables . xii List of Abbreviations . xiv Chapter 1 . 1 Chapter 2 . 5 2.1 ANN Training Algorithms . 5 2.1. 1 EBP Algorithm. 6 2.1. 2 Levenberg Marquardt Algorithm . 6 2.1. 3 Neuron by Neuron Algorithm . 7 2.2 ANN Algorithm Optimization . 8 2.2.1 EBP Optimizations . 8 2.2.2 Levenberg Marquardt Optimizations . 12 2.2.3 NBN Optimizations . 15 2.3 ANN Topologies . 16 2.3.1 MLP . 16 v 2.3.2 BMLP . 18 2.3.3 FCC . 19 2.3. 4 DNN . 20 2.4 Benchmark Data Sets Used for Training and Comparison . 23 2.4.1 Benchmark #1A – Simple 3-D Surface . 23 2.4.2 Benchmark #1B – 3-D Surface . 24 2.4.3 Benchmark #2 – Two Spiral Classification . 25 2.4.4 Benchmark #3 – Parity-N Problems . 27 2.4.5 Benchmark #4 – Checker-N Problems . 28 2.4.6 Additional Benchmarks . 29 2.5 Summary of Algorithms, Optimization, Topologies, and Benchmarks . 34 Chapter 3 . 36 3.1 Digital Approach . 36 3.2 Digital Implementation with ANNs . 38 3.3 A Puzzle and a Discovery . 40 Chapter 4 . 42 4.1 Architecture Conversion Overview . 43 4.2 BMLP to DNN Conversion Process. 44 4.2.1 BMLP to DNN Architecture Conversion . 44 4.2.2 BMLP to DNN Weight Conversion . 54 vi 4.2.3 BMLP to DNN Conversion Examples . 56 4.3 DNN to BMLP Conversion Process. 61 4.3.1 DNN to BMLP Architecture Conversion . 61 4.3.2 DNN to BMLP Weight Conversion . 72 4.3.3 DNN to BMLP Conversion Examples . 75 4.4 DNN to MLP Conversion Process . 80 4.4.1 DNN to MLP Architecture Conversion . 81 4.4.2 DNN to MLP Weight Conversion . 83 4.4.3 DNN to MLP Conversion . 91 4.5 MLP to DNN Conversion Process . 95 4.5.1 MLP to DNN Architecture Conversion . 95 4.5.2 MLP to DNN Weight Conversion . 97 4.5. 3 MLP to DNN Conversion . 98 4.6 Conversion Summary . 103 Chapter 5 . 105 5.1 Efficiency Comparison . 105 5.2 Experimental Training Results . 108 Chapter 6 . 121 Bibliography . 124 Appendices . 128 vii Appendix A . 128 Appendix B . 132 Appendix C . 136 Appendix D . 141 Appendix E . 147 Appendix F. 149 Appendix G . 156 Appendix H . 161
Flow, leadership and serious games – a pedagogical perspective

Purpose The purpose of this paper is to briefly outline the relevance of flow, a core concept of positive psychology increasingly applied in leadership development and in serious gaming. The author presents an innovative simulation game designed to teach and train how to manage and lead people based on the principles of “flow-based leadership. ” Design/methodology/approach This paper briefly describes the flow theory; it relates to leadership theory and why it is increasingly applied in the context of serious games. Then an extensive review and presentation of the features of an innovative serious gaming solution is presented to demonstrate that simulations are a fruitful area into which positive psychology and leadership science are being extended now. Findings Despite the growing market segment and various areas of training applications of serious games, very few games have been developed for leadership development. A detailed report presented the conceptual and practical aspects of such a new serious game. Research limitations/implications The author’s contribution did not focus on testing a particular framework nor did it aim at exposing new numeric data findings. Instead, the author presented an in-depth case study as an inspiration for future, similar developments. Also, research questions for future analysis of data collected during the leadership development game were outlined. Practical implications Readers were informed about a new, innovative serious game application, which is successfully used for leadership development, and in particular to teach the practice of flow-based management concepts. Social implications Flow is a concept applied in many fields of life such as sports, music, arts, recreation and work-life. The positive benefits of happiness, creativity, outstanding performance and joy can lead to a fulfilling life which is a paramount value, across all cultures globally. This leadership development game can be applied in other countries and cultures. As a result, the quality of leadership across various cultures can be improved. Researchers are invited to join the outlined new research network and program. Originality/value Flow theory is probably the best known concept of positive psychology across related scientific domains such as management, arts, sports, education and spirituality. Professor Csikszentmihalyi – a global figure head – laid the scholarly foundations decades ago, but now the concept is constantly evolving and being adopted into new and changing environments. This necessitates a review – such as this contribution – where the theoretical elements also apply in the new areas of application.
Running Head: EMOTION IN ALLIANCE RUPTURES AND RESOLUTIONS Emotion in an alliance rupture and resolution sequence: A theory-building case study

Alliance rupture and resolution processes are occasions for the client to have his or her core interpersonal patterns activated in the here and now of the therapy and to negotiate them with the therapist. So far, no studies were conducted on emotional processing, from a sequential perspective using distinct emotion categories, in alliance rupture and resolution therapy sessions. This is the objective of this theory-building case study. This client underwent a 34session long psychodynamic psychotherapy within the context of an open trial. An alliance rupture-resolution sequence of two subsequent sessions, along with a third control session, was selected from this case and these sessions were rated using the Classification of Affective-Meaning States (CAMS), an observer-rated method to classify distinct emotions, according to current emotion-focused models. The results indicate that the rupture session was associated, above all, with core maladaptive fear, evoked in the actual here and now of the therapeutic relationship, whereas the resolution session was associated with the expression and experience of adaptive hurt as regards biographical issues of the client. These results are discussed with regard to the alliance rupture and resolution model and the exploration of integrating client’s emotional processing in the model. Key-Words: Alliance Rupture-Resolution; Emotional processing; Theory-Building Case
Managerial Challenges with Knowledge Sharing

During the recent years, organisation’s interest in knowledge as a corporate asset has increased. More companies realize the importance of managing and invest in the knowledge within their organisation. The cornerstone of many knowledge management strategies is knowledge sharing, the process of sharing knowledge between individuals. This case study aims to analyse the knowledge sharing at a consultancy firm within the construction industry, Company A. The objective is to get an overview of the culture, processes and management in the firm, and to identify factors that facilitates, or hinder, knowledge sharing. This was possible through observations, interviews and discussions with the employees and management in Company A. The result showed that Company A has a culture of collaboration, trust and problem seeking, which are all factors that facilitate knowledge sharing. Moreover, the company has organised processes that could support employees to share their knowledge, but due to lack of time and priority, the benefits of the processes is not reached. Many factors show that most of the barriers with knowledge sharing within Company A can be associated with the organisational management. The key managerial challenges that was identified in this study was lack of time for knowledge sharing, lack of control over knowledge sharing processes, no strategy or incentives for knowledge sharing, and that the employees who possess most knowledge is often the most busy.