Miracle-dz/UniFAR-FTUs huggingface dataset:
Profil Kemampuan Komunikasi dan Koneksi Matematis Siswa SMA Negeri 1 Mojolaban ditinjau dari Kepribadian Introvert dan Extrovert

AbstrakPenelitian ini bertujuan untuk: 1) mendeskripsikan proses pengembangan model Realistic Mathematics Education (RME) dengan strategi pemecahan masalah heuristik Krulik Rudnick untuk meningkatkan kemampuan pemecahan masalah matematika siswa; 2) menghasilkan model RME dengan strategi pemecahan masalah heuristik Krulik Rudnick pada sub materi program linear beserta perangkat pendukung yang valid, praktis dan efektif; 3) menghasilkan model RME dengan strategi pemecahan masalah heuristik Krulik Rudnick yang dapat meningkatkan kemampuan pemecahan masalah matematika siswa lebih baik dibandingkan model pembelajaran yang biasa digunakan oleh guru.Penelitian pengembangan model RME dengan strategi pemecahan masalah heuristik Krulik Rudnick ini menggunakan prosedur ADDIE yang terdiri dari 5 tahap, meliputi 1) analysis: studi pendahuluan untuk penetapan tujuan; 2) design: perencanaan sistematis; 3) develop: realisasi rancangan produk; 4) implementation: penerapan draf produk (uji coba produk) dan 5) evaluate: revisi draf produk.Kriteria penentu kualitas produk pada penelitian ini adalah kriteria valid yang dilihat dari penilaian validator, kriteria efektif dilihat melalui t-test dan respon siswa, kriteria praktis dilihat dari respon siswa, guru dan keterlaksanaan model dan kriteria ampuh melalui hasil t-test.Hasil penelitian disimpulkan bahwa: 1) komponen model yang dikembangkan berupa sintaks yang terdiri dari (1) pengajuan masalah nyata (2) mengorganisasikan siswa untuk belajar, (3) proses penyelesaian masalah, (4) presentasi dan diskusi, (5) pengembangan pengetahuan konseptual dan prosedural, (6) penerapan pengetahuan dan perangkat pembelajaran; 2) model RME dengan strategi pemecahan masalah heuristik Krulik Rudnick memenuhi kriteria valid dengan rerata penilaian minimal 3,40, model RME dengan strategi pemecahan masalah heuristik Krulik Rudnick memenuhi kriteria efektif yaitu dapat meningkatkan kemampuan pemecahan masalah matematika siswa dan mendapat respon positif siswa sebesar 80,28? n model RME dengan strategi pemecahan masalah heuristik Krulik Rudnick mendapat respon positif dari siswa dan guru serta memiliki tingkat keterlaksanaan model tinggi dengan rerata sebesar 84,97%; 3) kemampuan pemecahan masalah matematika kelas eksperimen yang diberi perlakuan model RME dengan strategi pemecahan masalah heuristik Krulik Rudnick lebih baik dibandingkan kelas kontrol tanpa perlakuan.Kata Kunci : kemampuan pemecahan masalah, model RME dengan strategi pemecahan masalah heuristik Krulik Rudnick, program linear
The asymmetric role of corporate governance in CEO pay determination: evidence from South Africa

ABSTRACT Previous studies suggest that CEOs may be incentivised to pursue actions aimed at restoring equity when pay deviates from the predicted CEO labour market compensation rate. This study investigates the effect of corporate governance (CG) quality on CEO pay deviation in an emerging economy characterised by weaker external corporate regulatory environment. Using a unique hand-collected data of 185 South African listed firms over a six-year period, We document that whereas CG quality impacts negatively on total CEO pay deviation, this is only conspicuous when the CEO is overpaid. CG quality has no effect on CEO compensation when the CEO is underpaid. We find that CEO underpayment reduces firm value in poorly-governed firms. In contrast, CEO overpayment has no effect on firm value irrespective of the level of CG quality. The findings imply that recent CEO pay level agitations have resulted in the design of CG mechanisms that reduces the tendency of CEO pay to adjust upwards. The results are robust to alternative econometric techniques and endogeneity concerns.
Parenthood as intended: Reproductive responsibility, moral judgements and having children ‘by accident’

What does it mean to have a child ‘by accident’? And why is parenthood so often described as happening ‘accidentally’, even when it is likely to involve at least some degree of intention? Drawing on interviews conducted in England and Wales with lesbians and gay men who do not have children but may have them in the future, this article explores the meanings of the notion that, as a same-sex couple, ‘you can’t have a child by accident’ – a comment that interviewees frequently made unprompted when they were asked about the possibility of becoming parents. My data show that referring to ‘accidental parenthood’ is a common way of distinguishing one’s experience of early adulthood from that of heterosexual people, especially among white, middle-class lesbians. As a closer reading of the data also suggests, parenthood that arguably happens by accident is often neither unforeseen nor unfortunate, and its currency as a point of reference reveals a powerful cultural narrative. When a wide range of reproductive behaviours are often deemed irresponsible because of their broadly defined timing, describing a pregnancy as an accident obscures responsibility. I argue that, to a certain extent, the discourse of accidental parenthood can serve to prevent moral judgements about reproductive decisions. Consequently, however, the ‘inability’ to have a child by accident makes the prospect of creating a family not only more complicated but also subject to greater scrutiny.
Should We Care?: The Economic Effects of Financial Sanctions on the Russian Economy

We employ a Bayesian VAR model to estimate the economic effects on the Russian economy from Western financial sanctions imposed in 2014. Sanctions caused a decrease in the amount of out-standing Russian corporate external debt, but it occurred during an episode of falling oil prices. We disentangle the effects of sanctions and oil prices by computing out-of-sample projections of key Russian macroeconomic variables conditioned solely on the oil price drop and on both the oil price drop and external debt deleveraging. Declining oil prices alone do not explain the depth of economic crisis in Russia, but we get rather accurate conditional forecasts when the actual path of external debt deleveraging is added. We treat the difference between these two projections as the effect of sanctions against Russia. The effect is modest, yet significant, for most of the variables discussed. While our estimate of the impact of sanctions on GDP growth has large uncertainty, over two-thirds of the density lies in the negative area.
Analysis of drought characteristics in southern Indonesia based on return period measurement

The agricultural sector, especially the production of food crops is a pillar of the economy in Indonesia with production centers located in Java, Bali and Nusa Tenggara. One of the causes of the decline in food crop production is the drought caused by climate change. Drought can be calculated by the Standardized Precipitation Index which is an index to measure the severity of a region’s drought. The severity of a region’s drought can reach the highest value which can be used to estimate the period of drought occurring repeatedly. Furthermore, the estimation results can be used to obtain the Return Period value which is the average time of drought that has occurred by determining the maximum severity of the drought. To anticipate drought that occurs repeatedly, the purpose of this research is to identify the characteristics of drought from the Return Period based on the geographical profile of Java, Bali and Nusa Tenggara. The data used is monthly rainfall observation data for the period from 1985 to 2014 which describes the current drought events and data on monthly rainfall scenarios for the period from 2016 to 2100 based on the Representative Concentration Pathways that describe the future climate. The result of data analysis indicates that the Return Period geographically provides an overview of various regions. In the more wet region, there is a reduction in rainfall, while the drier region does not experience a significant reduction in rainfall. The general result shows, that in the long run Java will experience a reduction in rainfall more that of in Bali and Nusa Tenggara.
Climate-smart water technologies for sustainable agriculture: a review

Worldwide water management in irrigated and rain-fed agriculture is becoming more and more complex to overcome the expected water scarcity stress. In addition to this, challenges of global warming and climate change would have to be met through the judicious application of water in agriculture through climate-smart water technologies. Agriculture is an important sector in India and many developing countries, providing huge employment opportunities to rural populations, and supporting them to achieve food and nutritional security goals. In this paper, an attempt has been made to address challenges of increasing food production and improving rural livelihoods, while safeguarding critical water resources for sustainable use through adaptive measures for effective water management, particularly in drought-prone regions. An integrated approach needs to be implemented in agricultural water management through adoption of innovations such as water harvesting, micro-irrigation and resource conservation farming to increase water-use efficiency in agriculture and other critical services to humans and animals. The aim of this study is to facilitate an improved understanding of the potential implications of climate change and adaptation options for agricultural water management and thereby assist policymakers in taking up adaptation challenges and developing measures to reduce the vulnerability of the farming sector to climate change.
Organized derivatives market and economical growth: Relationship and impact

Derivatives have become common instruments for a wide range of users, including financial institutions, companies that manage assets, corporations, hedge funds. These instruments allow for speculative, arbitrage and hedging operations, which defines them as useful instruments to stimulate the growth of the efficiency of financial markets and the real economy. In this article based on 21 macroeconomic and financial indexes of the USA by test of Granger’s relation of cause and effect have been investigated influences of the exchange market of derivatives on indicators of economic growth of the USA. In this article is used a large amount of statistical data of time series and variables of macroeconomic and financial indices. The results of a research have confirmed positive correlation and causality of indicators of economic growth from use of exchange derivatives in real economy. It is received for the studied period of 2000-2015 proofs that the exchange market of derivatives of the USA positively influences the economic. The results obtained during the study can be used to substantiate the necessary measures aimed on the development of the derivatives market in Ukraine.
Faults and Faultlines: The Effects of Board Faultlines on CEO Dismissal

On the basis of the view that the board’s evaluation of the CEO is determined by the board decision-making as a group, we adopt the faultline approach to analyze group dynamics in the board. Faultlines can split a board based on the alignment of multiple attributes of individual directors and potentially create subgroups within the board. In this study, we argue that different types of faultlines have distinct effects on board decision-making. Specifically, we predict that demographic faultlines can increase conflicts among directors, hampering the board’s ability to decide on CEO dismissal when firm performance is below the aspiration level. On the other hand, information-based faultlines can facilitate exchange of diverse knowledge and elaboration of alternative perspectives, which can improve the board’s ability to dismiss a CEO when firm performance is below the aspiration level. Our analysis of S&P 500 boards supports our prediction that board faultlines based on demographic attributes of directors significantly reduce the board’s ability to fire the CEO when firm performance is below the aspiration level, whereas faultlines based on information-related attributes magnify the board’s ability to dismiss a poor-performing CEO. By demonstrating different effects of faultlines based on heterogenous types of director attributes, this study contributes to the board faultline literature. We also contribute to CEO dismissal research by showing how group dynamics of boards moderates the relationship between firm performance and CEO dismissal.
From Blended Learning To eLearning: Experience With The MScICT Program

School of Information Technology (College of Internet Distance Education, Assumption University of Thailand) offers the M.Sc. in ICT program in eLearning. In the beginning, restricted by the lack of public approval of eLearning in the country, the program was offered in blended mode with the support of ITPlus (the web-based LMS and support system) together with streaming classroom video. Since May 2006, the program has been offered in eLearning mode whereby class attendance is completely optional. Following the transition, students are queried for their opinions on the system and its effectiveness. The approach receives favorable opinions and considered equivalent or slightly better than traditional classroom mode. The transitioning from traditional classroom to blended mode and finally to eLearning mode attributes mainly to the acceptance of the program by the students and the smooth operation.
A psychometric assessment of an instrument to measure a service firm’s customer-based corporate reputation

Over the years, marketers have been cautioned repeatedly about the use of measuring instruments that do not demonstrate sufficient evidence of reliability and validity, particularly construct validity. The use of marketing instruments that do not demonstrate sufficient evidence of construct validity can lead to invalid results and erroneous conclusions. In short, construct validity is not just a “nice to have” in marketing research – it is at the heart of marketing decision-making. This study assesses the psychometric properties of a recently published instrument by Walsh and Beatty (2007) to measure the customer-based corporate reputation of a service firm, and illustrates how, by using an approach proposed by Steenkamp and Trijp (1991) to assess the uni-dimensionality of the underlying dimensions of a multi-dimensional construct, one can enhance the construct validity of such an instrument. The result is a shortened, 17-item instrument with superior psychometric properties compared to the longer 31-item instrument.
E-GOVERNMENT DALAM RANGKA MENINGKATKAN PARTISIPASI MASYARAKAT KABUPATEN PRINGSEWU LAMPUNG

Era globalisasi sekarang ini sangat diperlukan adanya teknologi informasi untuk mengimbangi adanya perkembangan informasi. Salah satunya dengan membuat E-Government yan dapat dijadikan tempat berkomunikasi anatra pemerintah dengan masyarakat maupun dengan pihak-pihak lainnya, misalnya dengan investor. Pergeseran paradigma ini dapat dimaknai bahwa masyarakat harus dilibatkan dalam penyelenggaraan pelayanan publik sejak tahap perencanaa untuk mengetahui tentang jenis pelayanan yang dibutuhkan, metode pelayanan yang tetbaik, mekanisme pemantauan maupun evaluasi dalam pelayanan, sehingga tanggung jawab dalam peningkatan kualitas pelayanan publik bukan hanya dipihak penyedia layanan, tetapi masyarakat ikut tanggung jawab. Penerapan e-government di Indonesia pun dinilai baik dan penelitian ini bertujuan untuk mengetahui dalam meniningkatkan partisipasi masyarakat di dalam peranan e-government dan struktur informasi yang dimiliki oleh Pemerintahan di Indonesia. E-Government merupakan pengguna TI dan komunikasi untuk mewujudkan praktik pemerintahan yang lebih efisien dan efektif, pelayanan yang lebih terjangkau dan memperluas akses publik untuk memperoleh informasi sehingga transparasi, kontrol, akuntabilitas, penyelenggaraan pemerintah meningkat.
Trees in cool climate cities may increase atmospheric carbon by altering building energy use

Urban trees are a critical part of the ‘green infrastructure’ intended to make our growing cities more sustainable in an era of climate change. The potential for urban trees to modify microclimates and thereby reduce building energy use and the associated carbon emissions is a commonly cited ecosystem service used to justify million tree planting campaigns across the US. However, what we know of this ecosystem service comes primarily from unvalidated simulation studies. Using the first dataset of actual heating and cooling energy use combined with tree cover data, we show that contrary to the predictions of the most commonly used simulations, trees in a cool climate city increase carbon emissions from residential building energy use. This is driven primarily by near east (<20 m from building) tree cover. Further analysis of urban areas in the US shows that this is likely the case in cool climates throughout the country, encompassing approximately 39% of the US population and 62% of its area (56%, excluding Alaska). This work adds geographic nuance to our understanding of how urban shade trees affect the carbon budget, and it could have major implications for tree planting programs in cool climates.
Financial Development, Exchange Rate Fluctuations and Debt Dollarization: A Firm-Level Evidence

This paper examines how financial development influences the debt dollarization of nonfinancial firms in a sample of emerging market economies (EMEs). The macroeconomic channels are identified from an optimal portfolio allocation model and assessed empirically using the accounting information of nonfinancial firms from 21 EMEs during 2009–2017. The results show that financial development, measured by the private credit-to-GDP ratio, mainly reduces the influence of exchange rate volatility in determining a firm's debt currency composition, among other channels. Furthermore, the effect of exchange rate volatility becomes statistically insignificant beyond an estimated threshold credit-to-GDP ratio of 100 percent.
HEALTH RISK ASSESSMENTS OF HEAVY METALS OF PERNA VIRIDIS FROM BANYUURIP WATERS IN UJUNG PANGKAH, GRESIK

Banyuurip is one of villages in Ujung Pangkah District, Gresik with high aquaculture activities of Perna viridis . Green mussels are highly produced in that area, however Banyuurip waters also has potential risk of heavy metals pollution. Therefore, this research was conducted to understand the concentrations of Fe and Zn in the sediments and in the Green Mussels. The heavy metals concentration will be used to analyze Bio Concentration Factor (BCF) and Human Health Risk Assessments (HHRA). A total about 45 P. viridis populations were collected from 3 sites in Banyuurip waters. In order to obtain a representative sample at each site, 15 populations of Green Mussels with similar shell lengths and bottom sediment were collected. Mussel’s tissue and bottom sediment were analyzed using AAS (AAnalyst700) to determine the concentrations of Fe and Zn. The concentrations of Fe were found almost similar with the concentrations of Zn in P. viridis within the range of Fe = 3.10 – 5.25 mg.kg -1 and Zn = 3.91 - 4.67 mg.kg -1 . BCF ( o-s ) of Fe in P. viridis is lower than the BCF ( o-s ) of Zn, because the concentrations of Fe in the mussels were less than the concentrations in the sediments. According to the Target Hazard Quotients (THQ) values (THQ PTDI).
A Grid Cumulative Probability Localization-Based Industrial Risk Monitoring System

With the rapid development of modern industries, more and more risk factors exist in industrial operations, leading to a gradual increase in the frequency of industrial failures. The industrial enterprises have taken a variety of measures to analyze the risk factors in industrial operations, but establishing an effective monitoring and evaluation system remains a technical challenge. To overcome this challenge, a practical industrial risk monitoring system, based on the wireless sensor network (WSN), is established in this paper to improve resilience of the respective industrial operations. In the proposed system, the existing sensor nodes in the industrial environment are organized into WSN to transmit real-time data. A special inspection robot is used to monitor comprehensively the environmental and safety risk factors in the industrial environment. To obtain the location of the robot, the partial nodes of the WSN are organized dynamically as the anchor nodes of the localization system, and two grid cumulative probability localization (GCPL) algorithms are proposed based on the GCPL-circle intersection and GCPL-path loss methods, respectively. The GCPL algorithm determines the grid cumulative probability using prior location information of the target node and the received signal strength information between the anchor nodes and target node to locate the target node. Experimental results show that the two GCPL algorithms significantly improve the localization accuracy and stability, and hence can be implemented as a risk monitoring system for real-world applications. Note to Practitioners—In industrial operations, a lot of risk factors exist which result in many frequent operational disruptions and failures. It is hence critical to develop an effective risk monitoring and evaluation system. Motivated by the industrial needs, we develop in this paper a practical wireless sensor network (WSN)-based industrial risk monitoring system. In the system, the existing sensor nodes in the industrial environment are organized into WSN to transmit real-time data. A special inspection robot is used to monitor comprehensively the environmental and safety risk factors in the industrial environment. To obtain the location of the robot, the partial nodes of the WSN are organized dynamically. We further propose two grid cumulative probability localization algorithms to establish the system. We show via computational experiments that the proposed risk monitoring system performs well and can be implemented as a real application which helps to improve risk management of industrial operations.
Critical events in the tourism industry: factors affecting the future intention to take a cruise

Purpose In recent years, critical events have heavily affected the cruise industry. Such events may variously influence customers’ intention to take a cruise in the future depending on different factors. This paper aims to study such factors, in particular the emotions related to the event, the prior corporate reputation and the use of social media in the corporate communication strategies followed during the crisis. Design/methodology/approach The study is based on the development of a structured questionnaire submitted online via blogs and other social media. Overall, 572 cruiser opinions were used to test five research hypotheses by performing logistic regression analysis. Findings The degree of anger increases the likelihood of a critical event influencing the intention to take a cruise in the future. On the contrary, a former excellent corporate reputation reduces that likelihood and the high importance placed by potential customers on information about the critical event transmitted via social media does not have any influence. Practical implications The study has several managerial implications, as it identifies and analyses the variables cruise company managers should consider when dealing with critical events. Originality/value Despite the relevance of this topic, no studies have yet focused on how (and by which factors) a critical event may influence customers’ intention to take a cruise in the future.