Miracle-dz/UniFAR-FTUs huggingface dataset:
Mahdiah N, Hasanah N, Nursyamsiah T Factors Affecting Waqif’s Decision

Indonesia as a country with largest Muslim population in the world has potentials in utilizing its Islamic philanthropy source of funds to alleviate social and economic problems in society, one is through waqf. Waqf that is managed productively has proven its positive contribution to the advancement of a country. However, the collecting of waqf fund is still dominated by direct waqf (non-productive) based on the instruction a waqif gave. This shows that the majority of waqif prefers direct waqf (nonproductive) to productive one. Therefore, the purpose of this study is to analyze the factors that affect waqif’s decision in selecting productive waqf. Data collection is done by the questionnaires given to the respondents. The respondents are 65 waqif at Dompet Dhuafa Republika. The method used in this study is descriptive analysis and logit regression. The result shows that waqif’s decision in selecting productive waqf is affected by their comprehension on productive waqf, age, subjective norm, and marital status.
Misplacing the Code: An Examination of Data Quality Issues in Bayesian Text Classification for Automated Coding of Medical Diagnoses

In this article we discuss the effect of dirty data on text mining for automated coding of medical diagnoses. Using two Bayesian machine learning algorithms (naive Bayes and shrinkage) we build ICD9-CM classification models trained from free-text diagnoses. We investigate the effect of training the classifiers using both clean and (simulated) dirty data. The research focuses on the impact that erroneous labeling of training data sets has on the classifiers’ predictive accuracy.
H2 Generation via Ethanol Reforming over CeO2-SiO2 Based Catalysts

In this paper, the renewable hydrogen generation through oxidative steam reforming of ethanol has been investigated over bimetallic Pt-Ni/CeO2-SiO2 catalysts, prepared by sequential wet impregnation at different loadings of noble metals (0-3 wt%); temperature ranged from 300 to 600°C and the H2O/C2H5OH as well as O2/C2H5OH ratios were fixed, respectively, to 4 and 0.5. The samples were characterized by BET, XRD and TPR analysis. Despite the very low contact time selected (25 ms), all the bimetallic samples displayed ethanol conversions higher than 50% above 450°C; however, the selectivity in hydrogen generation decreased with the Pt content. It indicates that low platinum loading are sufficient to assure a promising performance for the investigated reaction, thus assuring a considerable reduction of the catalyst cost. An experimental kinetic investigation was also carried out on the most interesting bimetallic sample in comparison with the monometallic catalyst in order to predict the evolution of product species with reaction temperature.
Benefits and Disadvantages of Electronic Patient-reported Outcome Measures: Systematic Review (Preprint)

BACKGROUND Patient-reported outcome measures (PROMs) are important in clinical practice and research. The growth of electronic health technologies provides unprecedented opportunities to systematically collect information via PROMs. OBJECTIVE The aim of this study was to provide an objective and comprehensive overview of the benefits, barriers, and disadvantages of the digital collection of qualitative electronic patient-reported outcome measures (ePROMs). METHODS We performed a systematic review of articles retrieved from PubMED and Web of Science. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed during all stages. The search strategy yielded a total of 2333 records, from which 32 met the predefined inclusion and exclusion criteria. The relevant ePROM-related information was extracted from each study. RESULTS Results were clustered as benefits and disadvantages. Reported benefits of ePROMs were greater patient preference and acceptability, lower costs, similar or faster completion time, higher data quality and response rates, and facilitated symptom management and patient-clinician communication. Tablets were the most used ePROM modality (14/32, 44%), and, as a platform, Web-based systems were used the most (26/32, 81%). Potential disadvantages of ePROMs include privacy protection, a possible large initial financial investment, and exclusion of certain populations or the “digital divide. ” CONCLUSIONS In conclusion, ePROMs offer many advantages over paper-based collection of patient-reported outcomes. Overall, ePROMs are preferred over paper-based methods, improve data quality, result in similar or faster completion time, decrease costs, and facilitate clinical decision making and symptom management. Disadvantages regarding ePROMs have been outlined, and suggestions are provided to overcome the barriers. We provide a path forward for researchers and clinicians interested in implementing ePROMs. CLINICALTRIAL PROSPERO CRD42018094795; https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=94795
Uncertainty Aware Hybrid Clock Synchronisation in Wireless Sensor Networks

—Wireless Sensor Networks, aiming to monitor the real world’s phenomena reliably, need to combine and post-process the detected individual events. This is not possible without reliable information of the context of the individual event. One such information of very high importance is time. It enables ordering of events as well as deduction of further data like rates and durations. An unreliable time base inﬂuences not only the ordering of events, but also the deduced values, which in consequence are unreliable as well. Therefore the synchronization of the clocks of the individual nodes is of high importance to the reliability of the system. On the other hand tight and reliable synchronization typically induces a large message overhead, which is often not tolerable in WSN scenarios. This paper proposes a new hybrid synchronization mechanism enabling tight synchronization in single hop environments and looser synchronization in multi hop environments. The lack of a guaranteed synchronization precision is mitigated by an explicit synchronization uncertainty, which is passed to the application. This enables the application to react to changes in the current synchronization precision.
A Study of IT Use in Small and Medium Businesses in Melbourne, Australia

This paper reports on the results of a series of interviews with thirteen small and medium-sized businesses in Melbourne, Australia – ten small businesses and three medium sized businesses. The interviews investigated the manner that the small and medium businesses use IT and the value that it adds to their businesses. The paper commences with some background on the particular peculiarities in relation to the manner in which small business use IT and then reports on the results of the small and medium sized business interviews in relation to each of these peculiarities. The study confirmed many of the features of small business identified in the literature. The businesses in the study did tend to take a short-term focus towards to their use of IT, and identified operational systems as their major use of IT. They did, however, identify a number of innovative ways in which they use IT. The medium businesses showed aspects of both ‘small’ and ‘larger’ cultures in their IT use. They virtually had no strategic IT plan (like small businesses), but they did understand terms such as ‘service agreements’ and ‘benchmarking’. Their uses of IT did tend to be more sophisticated than their smaller counterparts. The study had limitations (mainly the number of businesses), but there is enough evidence to justify further studies into ‘medium’ sized businesses in relation to their usage of IT.
E-Learning Acceptance Model (ELAM)

This study develops an E-Learning Acceptance Model (ELAM) to investigate the relationships among the factors affecting students’ acceptance of e-learning. In line with the literature, three critical success factors were used, namely instructor characteristics, information technology infrastructure, and support. ELAM was analyzed and validated using data collected from 538 university students through structural equation modeling (LISREL 8.54). The influence of the three factors on students’ decision of accepting e-learning was empirically examined. The results showed that all three factors significantly and directly impacted the students’ decision of accepting e-learning-based university program. Information technology infrastructure and the institution support were proven to be key determinants of the instructor characteristics as a critical success factor of e-learning acceptance by students. Implications of this work are very important for higher education institutions, researchers, and instructors.
Implementasi Manhattan Distance dan Dice Similiarity pada Sistem Ujian Esai Daring Berbahasa Indonesia

Abstrak— Setiap proses pembelajaran memerlukan alat evaluasi untuk mengukur tingkat pemahaman siswa. Jenis evaluasi dapat berupa soal pilihan ganda, isian singkat dan esai. Beberapa penelitian mengungkapkan ujian esai lebih baik dari jenis evaluasi lainnya. Penilaian esai secara otomatis dibutuhkan untuk menghemat waktu pengajar dalam mengoreksi jawaban. Namun, pengembangan untuk penilaian esai masih terus dilakukan sampai sekarang. Tujuannya adalah untuk memperoleh nilai keakurasian yang lebih baik dari metode yang digunakan dalam penilaian. Berdasarkan permasalahan tersebut, penelitian ini mengusulkan analisis perbandingan metode kemiripan untuk penilaian ujian esai daring. Metode kemiripan yang dibandingkan adalah Dice Similarity, dan Manhattan Distance. Kedua metode menghasilkan nilai koefisien yang kemudian dibandingkan penilaian sistem dengan penilaian manual dengan skala sama. Data yang digunakan sebanyak 2162 data. Data ini diperoleh dari 50 siswa yang menjawab 40 soal (politik, olahraga, lifestyle dan teknologi). Data yang diperoleh dalam penelitian ini dapat digunakan untuk mendukung penelitian lain yang dapat diakses di alamat www.indonesianir. org. Penelitian ini menunjukkan bahwa skema Jaccard dengan stemming lebih kecil dibandingkan 2 skema kemiripan lainnya.
Economic Letter: Model-based estimates of the resillience of mortgages at origination

Using a probability of default model estimated over the period 2008-2015 for Irish mortgages, this Letter provides model-based estimates of the resilience of mortgages at origination. Cohorts of loans issued with lower aggregate probabilities of default based on their originating characteristics are deemed to have been more resilient at origination. We compare each annual cohort of loans issued from 2003 to 2016, differentiating between loans issued in 2015 that were within and outside the scope of Central Bank of Ireland mortgage market regulations. The results suggest that at-origination resilience was deteriorating in the Irish mortgage market from 2003 to 2008, before improving significantly in 2009 and 2010. The post-crisis period was characterised by increases in portfolio probability of default for the 2011 to 2014 cohorts, while the model suggests that resilience has improved relative to previous years for mortgages issued in 2015 and 2016.
Towards a theoretical model linking university education to climate change interventions in the African context

Climate change education continues to gain popularity among educationalists especially at university level. The Paris Agreement on climate change 2015 advocated for support towards this approach especially for universities in the developing nations. This paper aims to present a model linking university education to climate change interventions in the African context. This model has been developed based on findings from a larger study on opportunities and challenges for climate change education in the African context conducted in Uganda and Tanzania. The study adopted a multiple case study design with Makerere University in Uganda and University of Dar es-Salaam in Tanzania, collecting data from 58 participants. Data were collected through semi-structured in-depth interviews, focus group discussions and document review. Thematic analysis based on Braun and Clarke (2006) was used to analyze and interpret the data. Based on study findings, the model was developed by the research team. The model identifies the key roles (functions) of a typical African university and the potential climate change education interventions it can initiate. It also explains the various contextual factors dubbed key drivers for climate change education within the African context. Based on this model, it is expected that universities in similar contexts, that have not started climate change education programmes, could learn a big deal on potential interventions to implement and explore the key drivers for their own benefit. Those universities that are already implementing climate change education interventions could also find the model useful in helping them exploit the opportunities and key drivers to enhance their existing interventions. Key words: Climate change education, African context, university education, key drivers.
Steal This Urine Test: Fighting Drug Hysteria in America

It's not surprisingly when entering this site to get the book. One of the popular books now is the steal this urine test fighting drug hysteria in america. You may be confused because you can't find the book in the book store around your city. Commonly, the popular book will be sold quickly. And when you have found the store to buy the book, it will be so hurt when you run out of it. This is why, searching for this popular book in this website will give you benefit. You will not run out of this book.
Game Theory in Wireless and Communication Networks

This unified treatment of game theory focuses on finding state-of-the-art solutions to issues surrounding the next generation of wireless and communication networks. Future networkswillrelyonautonomousanddistributedarchitecturestoimprovetheefficiency and flexibility of mobile applications, and game theory provides the ideal framework for designing efficient and robust distributed algorithms. This book enables readers to develop a solid understanding of game theory, its applications, and its use as an effective tool for addressing various problems in wireless communication and networking. The key results and tools of game theory are covered, as are various real-world technologies including 3G/4G networks, wireless LANs, sensor networks, cognitive networks, and Internet networks. The book also covers a wide range of techniques for modeling, designing, and analyzing communication networks using game theory, as well as state-of-the-art distributed design techniques. This is an ideal resource for communications engineers, researchers, and graduate and undergraduate students.
A 900 MHz local oscillator using a DLL-based frequency multiplier technique for PCS applications

One approach to implementation of low-phase-noise integrated fixed-frequency local oscillators (LOs) for use as the RF LO in a blockdown-convert receiver architecture for PCS wireless communications down-converts the entire RF band to a lower frequency using a fixed-frequency LO. This allows new approaches to the implementation of low-phase-noise oscillators with low-Q components. The technique uses a DLL-based frequency multiplier to synthesize a RF LO whose phase noise is closely related to that of the reference crystal and not dependent on the phase noise of a VCO. An experimental prototype generates a 900 MHz signal and is designed to meet the requirements of the IS-137 standard. The device achieves a phase noise of -123dBc/Hz at a 60 kHz offset frequency with 39 mA overall current consumption from a 3.3 V supply. This prototype was fabricated in 0.35 /spl mu/m double-poly five-metal CMOS.
PESARO 2020

— To improve customer satisfaction is necessary to provide services that enable real-time responses to complaints for call-center operations. The real-time parsing of complaint documents is more important for the real-time responses. Using the Open Source Software (OSS) syntactic parser SyntaxNet as a vehicle, a high-speed method using FPGA and OpenCL to achieve throughput of 700 words/s (required for real-time processing) is proposed. According to the results of the SyntaxNet analysis, matrix size (which changes dynamically according to the progress of the analysis) was found to be a performance determining factor. The proposed method was evaluated using public data, and the evaluation results confirmed throughput of 661 words/s, which almost met the requirement. As a result, the prospect of realization of a real-time complaint document analysis service for call centers was obtained.
From laboratory bench to benchmark: technology transfer in laboratory medicine

Background Life Sciences research, enhancing the occurrence of innovation, is able to impact clinical decision-making, both at diagnosis and therapy. Indeed, starting from the knowledge of specific needs and of technical-scientific demands, researchers can conceive and experiment innovative solutions. Despite these strengths, transferring research to the market in Life Sciences shows considerable criticalities. The aim of this paper is to provide concrete evidences on the processes of technology transfer based on the exploitation of the results obtained by KronosDNAsrl, an academic spin-off focused on reproductive medicine. Methods Different tools were used to evaluate the technical feasibility (validation of the results obtained with the prototype) and to manage the technology transfer process of One4Two®. Results The different analyses we carried out showed the feasibility of the proposed solution. As a result, the One4Two® prototype has been developed and validated. Conclusions Here, we provide a strength of evidences on how knowledge obtained by translational research on “bench” can be used to be transferred to the market on “benchmark” enabling innovation in Laboratory Medicine. In addition, the model described for One4Two® can be easily transferred to other products.
Genetic Polymorphisms of Nervous System Development and the Risk of Posttraumatic Stress Disorder

Background: Posttraumatic stress disorder (PTSD) is a complex severe polygenic psychiatric disease, influenced by environmental and genetic factors. PTSD development and progression is characterized by cognitive impairment, which may result in altered processes of nervous system development and synaptic plasticity, where a number of growth factors and their receptors were shown to play important role. Since neurotrophins play an essential role in the development of central nervous system, it is widely implicated in psychiatric disorders. The aim of this study is to investigate the potential association functional polymorphisms of genes encoding netrin G1 (NTNG1), brain-derived neurotrophic factor (BDNF), nerve growth factor (NGF) and its receptor (NGFR) with PTSD. Methods: Study groups consisted of 200 combat veterans with PTSD and an equal number of controls with no family or past history of any psychiatric disorders. The DNA samples were genotyped for NTNG1 rs62811; BDNF rs6265; NGF rs6330, rs4839435; NGFR rs11466155, rs734194 SNPs using polymerase chain reaction with sequence specific primers. Results: According to the results, NGF rs6330 was overrepresented in patients with PTSD compared to controls. Furthermore, negative association for BDNF rs6265, NGF rs4839435 and NGFR rs734194 was observed in PTSD patients. Conclusions: In summary, BDNF rs6265, NGF rs6330, rs4839435 and NGFR rs734194 are implicated in PTSD in Armenian population. However, further research is required to provide the definitive evidence of selected polymorphism association with gene expression.
Temporal learning analytics to explore traces of self-regulated learning behaviors and their associations with learning performance, cognitive load, and student engagement in an asynchronous online course

Self-regulated learning (SRL) plays a critical role in asynchronous online courses. In recent years, attention has been focused on identifying student subgroups with different patterns of online SRL behaviors and comparing their learning performance. However, there is limited research leveraging traces of SRL behaviors to detect student subgroups and examine the subgroup differences in cognitive load and student engagement. The current study tracked the engagement of 101 graduate students with SRL-enabling tools integrated into an asynchronous online course. According to the recorded SRL behaviors, this study identified two distinct student subgroups, using sequence analysis and cluster analysis: high SRL (H-SRL) and low SRL (L-SRL) groups. The H-SRL group showed lower extraneous cognitive load and higher learning performance, germane cognitive load, and cognitive engagement than the L-SRL group did. Additionally, this study articulated and compared temporal patterns of online SRL behaviors between the student subgroups combining lag sequential analysis and epistemic network analysis. The results revealed that both groups followed three phases of self-regulation but performed off-task behaviors. Additionally, the H-SRL group preferred activating mastery learning goals to improve ethical knowledge, whereas the L-SRL group preferred choosing performance-avoidance learning goals to pass the unit tests. The H-SRL group invested more in time management and notetaking, whereas the L-SRL group engaged more in surface learning approaches. This study offers researchers both theoretical and methodological insights. Additionally, our research findings help inform practitioners about how to design and deploy personalized SRL interventions in asynchronous online courses.
The Relationship Between IS Strategic Planning and Enterprise Architectural Practice: A Study in nZ Enterprises

Modern businesses face increased levels of competitive pressure, and the IT sector is going through a period of rapid change. These issues have resulted in a drive for new approaches to planning and managing IT services. Two approaches that have emerged in different eras are IS Strategic Planning (ISSP) and Enterprise Architectural Practice (EAP). Despite the apparent similarities between these two approaches, neither IS researchers
Ant colony optimization algorithm for computing resource allocation based on cloud computing environment (Chinese)

A new allocation algorithm based on Ant Colony Optimization(ACO) was established to satisfy the property of cloud computing.When start,this algorithm first prognosticated the capability of the potential available resource nodes,then analyzed some factors such as network qualities or response times to acquire a set of optimal compute resources.This algorithm met the needs of cloud computing more than others for grid environment with shorter response time and better performance,which were proved by the simulation results in the Gridsim environment.
Style-based Distance Features for Author Profiling Notebook for PAN at CLEF 2013

In this paper we present the approach we took in our participation to the PAN 2013 Author Profiling task. It is an adaptation of our system submitted for author identification, assuming that a profile category (authors belonging to the same gender and age group categories) can be analyzed in the same way as an author's style.
On The Error Rate Performance Of Transmission Modes In Lte Wireless Systems

The number of users are increasing with more and more applications and more demand. At the same time, high transmission data rates and communication reliability have become a significant requirement. The LTE and LTE-Advanced are developed by 3GPP. The LTE-Advanced features improvements in spectral efficiency, peak data rates and user experience relative to the LTE. With a maximum peak data rate of 1Gbps, LTE-Advanced has been approved by the ITU as an IMT-Advanced technology. LTE achieve its various goals through its different transmission modes that help in enhancement of data rates. In this paper, I have studied the performance of various transmission modes used in LTE and their comparison with each other is done by the use of MATLAB.