Miracle-dz/UniFAR-FTUs huggingface dataset:
Palynological Studies of Sediments from North Chioma-3 Well, Niger Delta and its Palaeoenvironmental Interpretations

Problem statement: The Niger Delta Nigeria stands among the world's best-studies delta complexes but its superficial deposits are among the poorest known publicity. In spite of continuous oil prospecting production in the area, there is still a paucity of published information and data on the palynology of the Niger Delta. This study aimed at reconstructing the palaeoenvironments of the Niger Delta from a detailed palynological framework. Approach: Twenty ditch cutting samples from 1271-2131 m from North Chioma-3 well, Niger Delta, Nigeria, were studied and analyzed for their lithological and palynological contents. This essentially comprised of the lithological and textural characteristics survey and laboratory processing using the method of pollen analysis. Results: Seven lithological units were delineated for the well sediments made up sandy shale, shaly sand and shale typical of the Benin and Agbada Formations of the Niger Delta, Nigeria. The sediments of the investigated intervals are fairly rich in microflora which documents diverse, fairly well-preserved palynomorphs. A total of 46 pollen and spore species were recovered and identified from the well. The dominant pollen grains are those of Rhizophora spp. , Poaceae and spores of pteridophytes and fungi. Palaeoecological interpretation of the interval suggests a mangrove swamp environment for the sediments and the high percentage occurrence of Rhizophora spp. indicates the abundance of mangrove swamp vegetation in the environment. Four pollen zones (I-IV) were recognized from the pollen diagram which reflects vegetational and climatic fluctuations during the period the studied sediments were deposited. Conclusion: There was a prevailence of savanna vegetation during the period covered by zone I, typified by the consistent occurrence of Poaceae pollen indicating cool and dry climate. An establishment of both wet and warm climate as well as mangrove forest vegetation was indicated for the periods covered by zones II, III and IV, with the largest extension of mangrove vegetation occurring in zone III.
ANALISIS PENGARUH VARIABEL MAKRO EKONOMI TERHADAP INDEKS SAHAM SYARIAH INDONESIA

ABSTRAK Mutaqin, Imamul. 2019. Analisis Pengaruh Variabel Makro Ekonomi Terhadap Indeks Saham Syariah Indonesia, Fakultas Ekonomi dan Bisnis Islam, Program Studi S1 Perbankan Syariah, IAIN Salatiga. Pembimbing Dr. Anton Bawono, S.E. , M.Si. Tujuan penelitian ini dilakukan untuk menganalisis respon yang ditunjukan oleh indeks saham syariah Indonesia (ISSI) terhadap shock yang terjadi pada inflasi,Kurs IDR/USD, BI Rate, jumlah uang beredar (JUB), harga minyak dunia dan harga emas dunia. Penelitian ini menggunakan jenis penelitian kuantitatif dengan menggunakan model VAR sebagai analisis data. Penelitian ini menggunakan data sekunder berbentuk time series data bulanan yang meliputi indeks saham syariah Indonesia (ISSI) terhadap shock yang terjadi pada inflasi,Kurs IDR/USD, BI Rate, jumlah uang beredar (JUB), harga minyak dunia dan harga emas dunia. Data yang telah diperoleh kemudian dianalisis menggunakan alat bantu aplikasi Eviews versi 9. Hasil penelitian ini menunjukkan bahwa indeks saham syariah Indonesia (ISSI) merespon negatif dan bersifat permanen terhadap shock yang terjadi pada inflasi, indeks saham syariah Indonesia (ISSI) merespon negatif dan bersifat permanen terhadap shock yang terjadi pada BI Rate, indeks saham syariah Indonesia (ISSI) merespon positif dan bersifat permanen terhadap shock yang terjadi pada harga minyak dunia, indeks saham syariah Indonesia (ISSI) merespon positif dan bersifat permanen terhadap shock yang terjadi pada harga emas dunia, Kata Kunci : indeks saham syariah Indonesia, inflasi,Kurs IDR/USD, BI Rate, jumlah uang beredar (JUB), harga minyak dunia, harga emas dunia.
The Many Colours of CAPE

Campbell & Shiller's [1988] Cyclically-Adjusted Price to Earnings ratio (CAPE) has both its advocates and critics. Currently, the debate is on the validity of the high CAPE ratio for US stock markets in forecasting lower future returns, with CAPE currently at 31.21. We investigate the efficacy and validity of CAPE from several different perspectives. First, we run multiple-horizon predictability regressions for CAPE versus its peers and find that CAPE consistently displays economic and statistical significance far better than any of its peers. Second, we explore alternative constructions of CAPE based on other proxies for earnings motivated by the work of findings by Siegel [2016] using NIPA profits. We find that original CAPE is still best when comprehensively and fairly reviewing the other proxies, even for NIPA profits. Third, we assess how to practically use CAPE in both an asset allocation and relative valuation setting. We demonstrate a novel use of CAPE for asset allocation programmes as well as discuss relative valuation exercises for country, sector and single stock rotation.
Performance analysis of priority encoding transmission of MPEG video streams

A novel approach named priority encoding transmission (PET) was proposed to guarantee delivery of the highest-priority data and/or the timely recovery of real-time data in the transmission of multimedia information over lossy networks. We propose a methodology to determine the fractions of the packets sent that are needed at the receiver to meet the QoS loss requirements specified by the user. It allows the mapping of the required segment loss probabilities on the corresponding parameters of the PET system. As a relevant case study, the proposed methodology has been applied to the transmission of MPEG video signals over an ATM network using PET.
Combining ability studies in okra [Abelmoschus Esculentus (L.)

Combing ability analysis was carried out in 8 x 8 half diallels of okra from F1 generations for green fruit yield and its components. The estimates of variance components due to general and specific combing ability indicated that both additive as well as non-additive gene effects played an important role in the expression of most of the characters. The ratio of additive to non-additive genetic variance signified the predominant role of non-additive gene action in the expression of all the characters in F1 generation suggested that exploitation of hybrid vigor could be highly effective. The parents P-8 and Hisar Navin were the best general combiners as they exhibited gca effects in desirable direction for various characters. Phule Utkarsha x Arka Abhay, Hisar Navin x Arka Abhay, HRB-142 x Arka Abhay, Hisar Navin x HRB-142 and Pusa Sawani x Hisar Navin were the most promising hybrids from the overall performance.
EFFECTIVENESS OF PROFESSIONAL DEVELOPMENT PROGRAMS ON ENHANCING THE KNOWLEDGE LEVEL AND CHANGING THE PROFESSIONAL MINDSET OF UNIVERSITY TEACHERS

concepts personal. Such experiences are the catalysts that help teachers learn. Follow this with activities that give teachers time to reflect on their experiences. Then introduce new information that prompts teachers to focus on the formation of abstract concepts and generations. To continue with same pond life example, teachers can design aquariums for their classrooms so they (and their students) can observe and answer questions that relate to pond life. They can also divide readings, relate the readings to what they observe, and share their findings with each other. Concept development continues in this phase as teachers digest new information. The teacher slowly adds fuel as discussions turn to formal theories such as food webs, interdependency of pond organisms, ecosystem factors that enable pond life, and so on. Learners can personally
İngilizce Öğretiminde Sözlü İletişim Hatalarının Düzeltilmesi: Farklı Dil Düzeylerindeki Türk Öğrencilerin Tercihleri

Understanding the process of correcting spoken errors in language classrooms is quite important because there is always the risk of disturbing the flow of communication and the risk of decreasing motivation and willingness of students to communicate in the target language. The proficiency level of language learners is an important factor on their anxiety and self-confidence in oral communication. For this reason, insights about the preferences of students at different proficiency levels will help implementing more successful corrective feedback sessions in teaching any foreign language. This study investigated the preferences of Turkish learners of English about the correction of spoken errors. Data collected from students at two different proficiency levels revealed that both groups of students preferred receiving corrective feedback for spoken errors. However, significant differences were observed between low and high-level students regarding the types of spoken errors, the time, ways and source of corrective feedback. The results obtained were discussed in terms of the contributions to the findings in the field of teaching English as a foreign language.
Integrating interactive multimedia into mathematics course modules for distance education

This study investigated the validity and perceived effectiveness of multimedia courseware designed to deliver lessons to students learning mathematics by distance. The study employed a cross-sectional survey design in which 50 volunteered distance education students pursuing a diploma in basic education at one of 23 study centres of the University of Education, Winneba participated. After students have used the multimedia courseware developed on CD-ROMs within twelve weeks, a perceived learning effectiveness questionnaire was used to collect data. Data were analyzed descriptively. The result indicates that courseware was a suitable complementary medium for mathematics lesson delivery by distance in terms of content delivery style; evaluation exercises presentation; motivation; and multimedia effects. It was also revealed that majority of the students learning mathematics by distance perceived multimedia courseware as effective in their learning successes. The inclusion of validated multimedia set-ups to printed text materials for learning mathematics contents by distance is recommended.
E-learning adoption in the banking workplace in Indonesia

The main purpose of this study is to determine whether the TAM (Technology Acceptance Model) could be extended to include external variables including computer self-efficacy, prior experience, computer anxiety, management support and compatibility, to further understand the learners’ perceived usefulness and perceived ease of use of an e-learning system. The study also aims to clarify which factors are more influential in affecting the decision to use e-learning. Five factors were examined together with the TAM construct using the SEM (Structural Equation Modeling) technique. The study reveals that management support, prior experience, computer anxiety and compatibility have predictive power towards behavioral intention to use e-learning systems. The results gained from this study, which took place in the banking workplace in Indonesia, provide a conceptual framework for individuals and organizations to better understand the critical factors which influence e-learning acceptance in developing countries.
Stock market trend prediction using ARIMA-based neural networks

We develop a prediction system useful in forecasting mid-term price trend in Taiwan stock market (Taiwan stock exchange weighted stock index, abbreviated as TSEWSI). The system is based on a recurrent neural network trained by using features extracted from ARIMA analyses. By differencing the raw data of the TSEWSI series and then examining the autocorrelation and partial autocorrelation function plots, the series can be identified as a nonlinear version of ARIMA(1,2,1). Neural networks trained by using second difference data are shown to give better predictions than otherwise trained by using raw data. During backpropagation training, in addition to the traditional error modification term, we also feedback the difference of two successive predictions in order to adjust the connection weights. Empirical results shows that the networks trained using 4-year weekly data is capable of predicting up to 6 weeks market trend with acceptable accuracy.
Real-time temperature distribution monitoring of SOFC cathode and contributing parameters

The solid oxide fuel cell (SOFC) as an energy conversion device is considered as a promising technology due to its high operating efficiency, fuel flexibility and relatively low emissions. However high operating temperature related issues such as availability and durability of the materials to operate at that high temperature and for long-time thermal cycling need to be understood and overcome. These are vital areas for research to ensure availability and durability measures are maximised subject to minimising SOFC system cost. To obtain the desired power output, especially for industrial applications, several cells are linked together to form a stack and the stacks are linked together to form a SOFC power generating system. There are two ways to overcome these issues, first; to reduce the operating temperature and second; to have better thermal management of the systems. Decreasing the operating temperature however can lead to a reduction in overall performance of the system due to an increase in the resistance in the cell as well as the electrodes becoming less active. Thus, thermal management of SOFCs is significant for minimising performance losses and maximising cell/stack lifetime. [Continues. ]
Transformational and Transactional Leadership: An Exploration of Gender, Experience, and Institution Type

This exploratory study examined the rates of transformational, transactional, and laissez-faire leadership among academic library deans, directors, and university librarians to see if any differences in leadership styles existed by gender, age and experience of the leaders, and type of institution in which they worked. The study found no differences between male and female leaders, but women were more likely to use idealized attributes and inspirational motivation, both skills of transformational leaders. The study found no difference in leadership styles by type of institution but did find a strong correlation between the number of years of administrative experience and the use of transactional leadership.
Real time parameters identification of ship dynamic using the extended Kalman filter and the second order filter

We consider the techniques of on-line parameter identification for a simplified model of ship dynamic. In the past two decades, there is an increase in the use of the extended Kalman filter (EKF) algorithm in estimating parameters from noisy data; this algorithm and an improved EKF the second order filter (SOF), will be used in this paper. The parameters, which are generated theoretically from a ship dynamic model with one propeller moving in the forward direction, are identified via computer simulation under differential scenarios.
SECURE DATA SHARING THROUGH CLOUD COMPUTING

As an emerging technology and business paradigm, Cloud Computing has taken commercial computing by storm. Cloud computing platforms provide easy access to a company's high- performance computing and storage infrastructure through web services. We consider the problem of building a secure cloud storage service where the registered user could store their data and can share them with other registered user. But due to security reasons the uploaded file is encrypted. The advantages of this task are that even the person who administrates is not able to read the content of uploaded file. For encrypting and decrypting the Base64 algorithm is used. This process make our application more secure. Another security technique is the usage of J2ME technology to implement the application. When the user registers himself the One Time Password (OTP) will be accessed only through given mobile number using the mobile device then after entering the OTP to the user login interface another window will appear asking about security code which is also will be access using the mobile device for every user login that is the security code will be arbitrary given to the user and he has no control on it. This is the another program which is integrated with our application. It makes application more secure.
Pickup and delivery with time windows: algorithms and test case generation

In the pickup and delivery problem with time windows (PDPTW), vehicles have to transport loads from origins to destinations respecting capacity and time constraints. In this paper, we present a two-phase method to solve the PDPTW. In the first phase, we apply a novel construction heuristics to generate an initial solution. In the second phase, a tabu search method is proposed to improve the solution. Another contribution of this paper is a strategy to generate good problem instances and benchmarking solutions for PDPTW, based on Solomon's benchmark test cases for VRPTW. Experimental results show that our approach yields very good solutions when compared with the benchmarking solutions.
A Frequentist Alternative to Significance Testing, p-Values, and Confidence Intervals

There has been much debate about null hypothesis significance testing, p-values without null hypothesis significance testing, and confidence intervals. The first major section of the present article addresses some of the main reasons these procedures are problematic. The conclusion is that none of them are satisfactory. However, there is a new procedure, termed the a priori procedure (APP), that validly aids researchers in obtaining sample statistics that have acceptable probabilities of being close to their corresponding population parameters. The second major section provides a description and review of APP advances. Not only does the APP avoid the problems that plague other inferential statistical procedures, but it is easy to perform too. Although the APP can be performed in conjunction with other procedures, the present recommendation is that it be used alone.
The Residual Stress Distribution of Ti-6Al-4V Thin Wall in the Selective Laser Melting

High residual stress caused by the high temperature gradient brings undesired effects such as shrinkage and cracking in the SLM process. This study developed a layer-by-layer 3D FE model based on sequentially coupled thermal-structural method to predict the residual stress distribution and the stress variations of Ti-6Al-4V thin wall. The X-component of stress has the greatest impact on the residual stress distribution of the thin wall, followed by the Z-component of stress, and the smallest is the Y-component of stress. The maximum residual stress is observed at the corner of the interface between the part and substrate, the secondary stress is near the top center region of the part. The findings of this study will provide a better understanding of residual stress distribution in the SLM and constructive guidance for process parameter optimization.
DETERMINAN NET INTEREST MARGIN PADA BANK PERKREDITAN RAKYAT DI INDONESIA

Tujuan penelitian ini untuk menganalisis determinan net interest margin (NIM) pada Bank Perkreditan Rakyat (BPR) Indonesia tahun 2016. Penelitian ini menggunakan model regresi linear berganda. Data diperoleh dari majalah Infobank yang dipublikasikan pada bulan Juli 2017. Penelitian ini menggunakan 269 BPR. Variabel dependen dalam penelitian ini adalah net interest margin (NIM). Variabel independen yang digunakan antara lain: risiko kredit yang diproksikan dengan non performing loan (NPL), likuiditas yang diproksikan dengan loan to deposit ratio (LDR), capital adequacy ratio (CAR), efficiency ratio yang diproksikan dengan BOPO, dan ukuran bank yang diproksikan dengan logaritma dari total aset (SIZE). Hasil dari penelitian ini menunjukkan bahwa risiko likuiditas, dan capital adequacy ratio berpengaruh positif signifikan terhadap net interest margin. Sementara itu, risiko kredit, efficiency ratio, dan ukuran bank berpengaruh negatif terhadap net interest margin.
Effects of Big Five Personality Traits and Fear of Negative Evaluation on Foreign Language Anxiety

The paper deals with the effects of Big Five Personality Traits and Fear of Negative Evaluation on Foreign Language Anxiety. The research problem relates to the way in which foreign language anxiety (FLA) is conditioned by certain personality traits when applying the Big Five Model, based on statistically controlled variables such as self-assessment of language mastery, fluency, frequency of reading texts in English, and length of language learning. This problem has been rather neglected in research so far. A sample of 296 students completed three questionnaires: International Personality Item Pool (Goldberg, 2001), Foreign Language Classroom Anxiety Scale (Horwitz, Horwitz, & Cope, 1986), and the brief version of the Fear of Negative Evaluation Scale (Leary, 1983) translated into Serbian, and three additional questions related to self-assessment of reading comprehension, frequency of reading English texts and verbal fluency. The results show that low levels of Emotional stability were a consistent predictor of high levels of general language anxiety and its types as defined through scores on subscales. Also, students prone to fear of negative evaluation were more inclined to experience FLA. Since the correlation between FNE and Fear of feedback by peers and teachers is only moderate, it can be concluded that FLA is not only a consequence of the general fear of negative evaluation. High Conscientiousness proved to be a specific predictor of the high level of Communication apprehension.
Assimilation of Radar Radial Velocity, Reflectivity, and Pseudo–Water Vapor for Convective-Scale NWP in a Variational Framework

To improve severe thunderstorm prediction, a novel pseudo-observation and assimilation approach involving water vapor mass mixing ratio is proposed to better initialize NWP forecasts at convection-resolving scales. The first step of the algorithm identifies areas of deep moist convection by utilizing the vertically integrated liquid water (VIL) derived from three-dimensional radar reflectivity fields. Once VIL is obtained, pseudo–water vapor observations are derived based on reflectivity thresholds within columns characterized by deep moist convection. Areas of spurious convection also are identified by the algorithm to help reduce their detrimental impact on the forecast. The third step is to assimilate the derived pseudo–water vapor observations into a convection-resolving-scale NWP model along with radar radial velocity and reflectivity fields in a 3DVAR framework during 4-h data assimilation cycles. Finally, 3-h forecasts are launched every hour during that period. The performance of this method is examined for two selected high-impact severe thunderstorm events: namely, the 24 May 2011 Oklahoma and 16 May 2017 Texas and Oklahoma tornado outbreaks. Relative to a control simulation that only assimilated radar data, the analyses and forecasts of these supercells (reflectivity patterns, tracks, and updraft helicity tracks) are qualitatively and quantitatively improved in both cases when the water vapor information is added into the analysis.