Miracle-dz/UniFAR-FTUs huggingface dataset:
Microwave Photochemistry and Photocatalysis. Part 1: Principles and Overview

The coupled activation of photochemical and photocatalytic reactions by using of two different types of radiation, microwave and UV/Vis, is covered by the new discipline called microwave photochemistry and photocatalysis. Such a connection might have a syn- ergic effect on reaction efficiencies or, at least, enhance them by summing up the individual effects. The objective of this discipline is frequently, but not necessarily, connected to the electrodeless discharge lamp (EDL) as a novel light source which generates efficiently UV/Vis radiation when placed into a microwave field. This review article is focused on the general principles of microwave photochem- istry and photocatalysis, i.e. generation of UV/Vis discharge in EDL (theory of the microwave discharges, construction of EDL, prepara- tion of the thin titania films on EDL, spectral characteristics of EDL, and performance of EDL). Likewise, the various microwave photo- chemical and photocatalytic reactor types (batch with external or internal light source, flow-through with external light source, annular flow-through with internal EDL, and cylindrical flow-through surrounded with EDL) with different arrangement of the lamps are de- scribed. The concept of microwave photochemistry and photocatalysis as an important issue in synthetic chemistry and material science is presented in several tables.
Equal division among the few: an experiment about a coalition formation game

We study experimentally a three player sequential and symmetric coalition formation game with empty core. In each round a randomly chosen proposer must choose between a two players coalition or a three players coalition and decide about the payoﬀ division among the coalition members. Players who receive a proposition can accept or reject it. In case of acceptance the game ends. If it is rejected, a new proposer is randomly selected. The game was played repeatedly, with randomly rematched groups. We observe that over 86% of the realized coalitions are two-players coalitions. Three players coalitions are often observed in early rounds but are frequently rejected. Equal splits are the most frequently observed divisions among coalition members, and their frequency increases sharply over time. We propose an extension of von Neumann and Morgenstern (1944)’s notion of stable set to account for our results.
KEY AGREEMENT SCHEME WITH ENHANCED SECURITY PROVISION FOR SHARING SECRET DOCUMENTS

In today's virtual era providing security and privacy is crucial. It is of utmost importance that confidential user data can only be accessed by legitimate servers and service providers. This means the user and the server need to agree upon a cryptic key in advance. Recently looking into the works that include DIDAKA schemes suggests that they are afflicted by one or extra security challenges. Xie et al. have proposed a stimulating anonymous DIDAKA protocol to neutralize weaknesses of the previous schemes; However, it was determined that their scheme is susceptible to major attacks. Therefore, to resolve the safety limitations, we endorse a safety-greater SHA-256 and Diffie-Hellman key exchange protocol, which also withholds the merits of Xie et al. ’ s scheme. Which not only addresses most of the issues faced in the previous schemes but will also improve the security of the existing scheme.
ET-09-2020-0257_proof 720..743

Purpose –The aim of this article is to propose and test a structuralmodel of relationships between generic and specific competencies and entrepreneurial competencies in order to assess students’ learning. Design/methodology/approach – The study was carried out on a sample of 337 students enrolled on the entrepreneurship specialisation of the final bachelor’s degree project course on the Bachelor’s Degree in Business Administration and Management at the Universitat Oberta de Catalunya. A questionnaire was designed to gather information on students’ perception of their level of acquisition of the different groups of competencies. The partial least squares (PLS) multivariate technique was used to analyse the model. Findings – The results confirm that there are significant relationships between the different groups of competencies. Specifically, it shows that generic competencies influence specific competencies and that there is a strong relationship between systemic and professional competencies and entrepreneurial competencies. It also shows that the experience variable contributes positively to different competency groups, while the gender and age variables have no effect on the development of entrepreneurial competencies. Practical implications –The study provides relevant information to the academic world on different factors that affect competency development. Originality/value – The analysis provides an innovative research and contributes knowledge on entrepreneurial competency acquisition, providing an answer to whether generic and specific competencies influence entrepreneurial competencies.
Finding New Integer Constraints Incorporated with String Constraints using Automata in Symbolic Execution

– In computer programs, the string data appears regularly, especially in the part of programs or methods. Java language providing a large library of string data types but still contains many bugs. In software testing, we are interested in identifying bugs. In symbolic execution, string constraints are also considered in most of cases. In this research, we propose replacing the entire executable representation of an integer with specific integer values and determining by best estimating the integer constraint solver. Forces the string to the specified integer value then. If those integer values do not give the content string constraint satisfactory, we add the negative integer constraints with the replaced value to the integer constraint. Other specific values are generated continuously until a satisfactory string value is obtained or it is impossible to predict further specific integer values. We conclude that the string constraint does not exist satisfying value then .
Visualizing Compiler Passes with SecondPass

A compiler from a high-level language down to an assembly-like language traditionally involves a sequence of compiler passes, each of which performs a specific transformation on an input program to produce an output program for the next pass. In an undergraduate compilers course, the goal is to understand why these passes are necessary and how each pass is constructed. One difficulty in the learning process is that the compiler pass implementation itself may be too abstract to gain an intuitive understanding of its purpose, while merely reading the source and target programs does not reveal much about how the pieces of the programs were transformed. In this paper, we present SecondPass, a multi-pass compiler visualization for UBC’s upper-year compilers course (CPSC 411) that aims to elucidate the connections between source and target program substructures and to provide an intuitive understanding of the kind of structural transformations that compilers do. Given a particular source program, it presents intermediate and final programs – the results of multiple stages of compilation – side by side, with interactive flows between related components of source and target programs. We limit the scope of this project to only two particular fundamental compiler passes: A-normalization and instruction selection, described in detail in Section 2. Furthermore, as this is primarily a pedagogical tool, it focuses on effective visualization of relatively small input programs, as opposed to existing visualizations which focus on large source code files or optimizing compiler passes.
A New Task Scheduling Algorithm based on Water Wave Optimization for Cloud Computing

Nowadays cloud computing provides many benefits for organizations. Businesses can ensure reliable calamity recovery and backup solutions without the spat of tuning them up on a physical machine. For many companies, exploiting complex calamity recovery plans can be an expensive guarantee, and backing up data is time exhaustion. The cloud itself is built in such a way that the data stored more than one time in servers, so that if any server fails, the data is backed up immediately. The capability of accessing data readily is available after handling the failure. However, still, cloud computing resources face many problems such as scheduling problems. This paper tackles the resource scheduling problem and presents a new efficient algorithm, called Improved Water Wave Optimization (IWWO), to address such a problem. The main idea is the enhancement/improvement of the Water Wave Optimization (WWO) algorithm by using reinforcement learning to overcome the local optimality of the conventional WWO during the searching process. The proposed IWWO is implemented in the CloudSim toolkit and evaluated by considering a real data set and a randomly generated data set. The results are compared with the results of the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. The obtained results show that the IWWO can solve the resource scheduling with minimum schedule length and a high balance degree.
BiDAF with Dependency Parse Tree for Question Answering in SQUAD 2

Machine comprehension (MC) is one of the key research areas in the field of Natural Language Processing (NLP). Question-Answering (QA) is a task that can measure progress in MC with some objective consistency. We aim to improve upon the existing BiDAF [1] model provided in our course that addresses the task of QA. We used the same dataset SQUAD v2 [2] as in the original paper and implemented a novel idea on top the the given model to improve EM and F1 scores. Our primary contribution is based on the hypothesize that many downstream language processing models can be made more efficient by augmenting the dataset with syntactic structures learned via other existing models. There are many possible ways to utilize such syntactic information. In this paper we specifically explore the effectiveness of dependency parse tree for the task of QA. We explore a variety of approaches to encode dependency trees to understand which ones work as well as which ones are practical in terms of memory and processing. Our final model is able to significantly outperform the baseline model. We achieved a F1 score 67.7 and 65.77 in dev and test dataset whereas the baseline model gets 60.8 and 58 in the respective cases. Further, we also show that our model trains significantly faster than the baseline model despite the additional data preprocessing required for our model.
Fever of Unknown Origin — infected Fistula-in-Ano as the focus on 18 F-FDG PET-CT

Background: The authors aimed to elucidate the effect of liver space-occupying lesions (SOL) on the quantitative index of the hepatic reserve, calculated using the dynamic planar image (LHLplanar), and a three-dimensional quantitative index (LHLSPECT) calculated using quantitative combined modality single-photon emission computed tomography (SPECT/CT). Material and methods: Water balloons of different volumes that simulated liver SOL were placed in various positions in the combined cardiac-liver phantom to examine the effects of liver SOL on visualization and quantitative indicators (LHLplanar and LHLSPECT). A 200 mL water balloon was placed in the anterior right, posterior right, left medial and left lateral lobes in the liver phantom to compare LHLplanar and LHLSPECT values with and without liver SOL at each position. Subsequently, volumes of those in the front of the right lobe were changed to 50 mL, 100 mL, 200 mL, and 400 mL, followed by statistically comparing LHLplanar and LHLSPECT values in the presence and absence of liver SOL. Results: Despite the variation in the degree of defect accumulation with the location of the balloon when using frontal planar imaging, quantitative SPECT/CT imaging identified all defects. Multiple comparison analysis revealed that unlike LHLSPECT, the LHLplanar values changed according to liver SOL position and volume. Conclusions: Liver SOL position and volume may affect the hepatic reserve assessments performed using LHLplanar values. In contrast, LHLSPECT is calculated using quantitative SPECT/CT and considers the effects of scattering and attenuation corrections. Therefore, LHLSPECT is a more accurate quantitative indicator of hepatic reserve than LHLplanar and is expected to facilitate future clinical research. KEY words: galactosyl human serum albumin; LHL15; SPECT-CT; Liver SOL Nucl Med Rev 2021; 24, 1: 1–10
www.ssoar.info Predictors of problem drinking in adolescence and young adulthood: a longitudinal twin-family study

Nutzungsbedingungen: Dieser Text wird unter dem "PEER Licence Agreement zur Verfügung" gestellt. Nähere Auskünfte zum PEER-Projekt finden Sie hier: http://www.peerproject. eu Gewährt wird ein nicht exklusives, nicht übertragbares, persönliches und beschränktes Recht auf Nutzung dieses Dokuments. Dieses Dokument ist ausschließlich für den persönlichen, nicht-kommerziellen Gebrauch bestimmt. Auf sämtlichen Kopien dieses Dokuments müssen alle Urheberrechtshinweise und sonstigen Hinweise auf gesetzlichen Schutz beibehalten werden. Sie dürfen dieses Dokument nicht in irgendeiner Weise abändern, noch dürfen Sie dieses Dokument für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, aufführen, vertreiben oder anderweitig nutzen. Mit der Verwendung dieses Dokuments erkennen Sie die Nutzungsbedingungen an. Terms of use: This document is made available under the "PEER Licence Agreement ". For more Information regarding the PEER-project see: http://www.peerproject. eu This document is solely intended for your personal, non-commercial use.All of the copies of this documents must retain all copyright information and other information regarding legal protection. You are not allowed to alter this document in any way, to copy it for public or commercial purposes, to exhibit the document in public, to perform, distribute or otherwise use the document in public. By using this particular document, you accept the above-stated conditions of use.
Customer relationship management in Indian banking: An evaluation

The purpose of this paper is to develop a comprehensive integrated model which helps in explaining the impact of Customer Relationship Management (CRM) dimensions (complaint resolution, customer knowledge, and customer empowerment and customer orientation) on customer loyalty and competitive advantage of a bank. The study also explores the mediating role of customer loyalty in the relationship between CRM and competitive advantage in retail banking.
Race-Blind Charging

In jurisdictions across the United States, prosecutors make highly consequential charging decisions using police incident narratives that contain information about the race of the suspect. Recent studies have shown that there is reason for concern that the judgments made by the prosecutor may suffer from explicit or implicit racial bias. Past work to develop an algorithm to redact explicit mentions of race and other race-related information has been limited to the use of regular expressions that mask a set of predetermined information classes (such as names and locations). While these methods have been successful in redacting the targeted information while also preserving the legibility of the narratives, they have been limited in their ability to obfuscate latent race-related information and their reliance on human input for near-perfect redaction of person names. In this paper, we apply several deep learning approaches to the problem of obfuscating a suspect’s race through redaction. We make use of pretrained large language models to mitigate data availability issues and ultimately show that the use of unsupervised pretrained models fine-tuned on downstream tasks like named entity recognition are competitive with the performance of past algorithms designed for this redaction problem and notably do not require additional human inputs to the model.
Reachability-Based Robustness of Controllability in Sparse Communication Networks

In this paper, we propose closed-form analytic approximations for the number of controllable nodes in sparse communication networks from the aspect of network controllability, considering link-based random attack, targeted attack, as well as random attack under the protection of critical links. We compare our approximations with simulation results on communication networks. Results show that our approximations perform well for all three attack strategies as long as the fraction of removed links is small. Only when the fraction of removed links is large, our approximation for targeted attacks does not fit well with simulation results. Finally, we validate our approximations using 200 communication networks and some synthetic networks. Results show that our approximations perform well in most cases.
Utilization of cajuput (Melaleuca leucadendron) twigs and sugarcane (Saccharum officinarum) bagasse agricultural waste for cellulose acetate production by environmentally friendly approach

Roni Maryana (  roni.maryana@gmail.com ) Indonesian Institute of Sciences: Lembaga Ilmu Pengetahuan Indonesia https://orcid.org/0000-0001-7134-9347 Muryanto Muryanto Indonesian Institute of Sciences: Lembaga Ilmu Pengetahuan Indonesia Eka Triwahyuni Indonesian Institute of Sciences: Lembaga Ilmu Pengetahuan Indonesia Oktaviani Oktaviani National Nuclear Energy Agency of Indonesia: Badan Tenaga Nuklir Nasional Ha izh Prasetia Indonesian Institute of Sciences: Lembaga Ilmu Pengetahuan Indonesia Atanu Kumar Das Swedish University of Agricultural Sciences: Sveriges lantbruksuniversitet Yanni Sudiyani Indonesian Institute of Sciences: Lembaga Ilmu Pengetahuan Indonesia
Locus of Control as an Intervening Variable Towards the Behavior of Financial Management

The purpose of this study was to examine and analyze the influence of financial knowledge and income on the behavior of financial management with the locus of control as an intervening variable. The sampling method used in this study is non-probability sampling, which is purposive sampling. Data was collected using a questionnaire. Data analysis used multiple regression. For data processing, the application of SmartPLS version 3.2. 8 was used. The results of this study indicate that locus of control mediates the effect of financial knowledge on the behavior of financial management as well as the effect of income on the behavior of financial management.
Designing Spam Filtering by Analyzing User and Email Behaviour

Electronic Mail is the “killer network application”. It is ubiquitous and pervasive. This paper presents an implemented framework for data mining behavior models from email data. There are different methods for detection of spam through email. The main goal is to develop a method that outperforms the existing methods in terms of detection of spam, ham and wrongly classified spam, that is, the accuracy of the proposed method is higher compared to the other existing methods. The other goal is to implement the proposed algorithm for reducing the time. So, to recapitulate, this paper deals with the accuracy and process timing based on prioritization of detecting email messages.
Factors explaining the technical efficiency of independent producers in Cameroon: the case of oil palm producers in the Sanaga-Maritime

The aim of this study is to analyse the level and explanatory factors of the technical efficiency of independent oil palm producers in the Sanaga-Maritime. To achieve this objective, we used the stochastic production frontier with embedded inefficiency effects, which we applied to primary data from a survey that covered the period from June 2018 to July 2019. The results lead to the conclusion that 81.6% of the production inefficiency is explained by the producers themselves and only 18.4% of this inefficiency is related to random factors. This inefficiency of independent producers is mainly related to off-farm income and their level of education. Therefore, in order to ensure a better supervision of producers and to ensure an improvement of their production efficiency, the study proposes that emphasis be put on training and monitoring of producers, as well as on measures to improve the conditions of access to land. This paper contributes to the understanding of the factors that explain the technical efficiency of independent oil palm producers.
Effect of Character-and Subword-Embeddings on BiDAF Performance

Systems trained end-to-end have achieved promising results in question answering the past couple of years. Many of the deep-learning based question answering systems are trained and evaluated on the Stanford Question Answering Dataset (SQuAD), where the answer to every question is either unanswerable or a segment of text from the corresponding reading passage [4]. In this work, we investigate the effectiveness of different embeddings in improving the performance of the baseline Bi-Directional Attention Flow model on solving SQUAD 2.0. The first model improves upon the baseline with character-level embeddings; the second model improves with subword-level embeddings; the third improves with both character-level and subword-level embeddings. Our best model, which incorporates word-level and subword-level embeddings, achieves an EM score of 57.70 and F1 score of 61.26 on the test set.
Antarctic skin temperature warming related to enhanced downward longwave radiation associated with increased atmospheric advection of moisture and temperature

We investigate linear trends in Antarctic skin temperatures (temperatures from about the top millimeter of the surface) over the four seasons using ERA5 ensemble mean reanalysis data. During 1950–2020, statistically significant warming occurred over East and West Antarctica in spring, autumn and winter, and over the Antarctic Peninsula in autumn and winter. A surface energy budget analysis revealed that increases in downward longwave radiation related to increases in air temperature and total column integrated cloud had a key role in Antarctic surface warming. There were negative sea level pressure trends around the periphery of Antarctica throughout the year, and the associated circulation contributed to warm advection from the middle latitudes to West Antarctica and the Antarctic Peninsula. Over the interior of East Antarctica, increase in moisture advection from lower latitudes enhanced the low-level cloud cover. A two-dimensional parameter diagram showed that skin temperature trends for time segments longer than 30 years starting before 1960 exhibited statistically significant warming in autumn and winter in East and West Antarctica and the Antarctic Peninsula. In spring, West Antarctica also showed statistically significant warming for long segments. In summer, the Antarctic Peninsula had statistically significant warming trends for long segments and cooling trends for segments less than 30 years. For all the studied time intervals, when skin temperatures had statistically significant positive trends, increases in downward longwave radiation contributed more than 70% of the warming and vice versa. This result demonstrates that on all time and space scales, changes in downward longwave radiation associated with variations in air temperature and atmospheric moisture loading play a dominant role controlling skin temperatures.