Miracle-dz/UniFAR-FTUs huggingface dataset:
Fuzzy Axiomatic Approach to Blue-green Infrastructure Strategy Selection: A Sustainability Perspective

Flood management is a global problem that has created immense contributions from researchers and practitioners, especially those in developing countries. These people often seek ways to minimise the aftermath of a flood. Recently, they are making a case for sustainable solutions to flood management. This study, therefore, contributes a sustainability model that addresses the problem of blue-green technology selection to the current discussion on flood management. It coupled the techno-economic, social, and environmental impact of a blue-green technology using the unique attributions of three multi-criteria decision-making tools: best-worst method, fuzzy axiomatic method and VIKOR; its performance was investigated with qualitative data sets that were obtained from experts. The outcomes of the investigation showed that techno-economic criteria contributed about 88.18% to the ranking of blue-green technology. The most and least suitable blue-green technologies for a community in Nigeria are Rainwater and floodwater harvesting and Retention lake, respectively. With these results, the proposed model will aid decision-makers strategic and tactical criteria that can be used to evaluate blue-green technology selection.
Human Resource Management Practices, Organisation Citizenship Behaviour and Turnover Intentions in Public Universities: The Mediating Role of Job Satisfaction

Aims: The purpose of this paper was to examine the relationships between human resource management practices (HRMPs) and employee outcomes of organizational citizenship behaviour (OCB) and turnover intentions among employees of Public Universities in Uganda, mediated by job satisfaction. Design/Methodology: The study adopted a cross-sectional, quantitative approach. A sample of 479 academic and non-academic staff was drawn from three public universities in Uganda. SPSS (v20) and AMOS (v20) were used to conduct correlation and structural equation modelling techniques to test the hypotheses. Results: The results show that job satisfaction is positively related with HRMPs (β =.588, p<.001). The results also show that OCB is positively related to HRMPs (β =.226 p<.01) and job satisfaction (β =.210; p<.01) while turnover intention is negatively influenced by HRM practices (β = -.124, p<.05). The results further show that job satisfaction partially mediates the positive relationship between HRMPs and OCB. Job satisfaction also partially mediates the negative relationship between HRMPs and turnover intentions. This study contributes to the HRM body of knowledge by finding further support for the mediation effects of job satisfaction on the relationships between HRMPs and OCB and between HRMPs and turnover intentions in public universities in Uganda. Conclusion: The implication of this study is that in order to boost OCB and reduce turnover intentions among employees of public universities in Uganda, managers should employ HRMPs practices that lead to job satisfaction. Limitations and directions for future research are outlined.
Leveraging big data to understand the interaction of task and language during monologic spoken discourse in speakers with and without aphasia

ABSTRACT Monologic spoken discourse allows us to evaluate every day speech while retaining some experimental constraint. It also has clinical relevance, providing cognitive-linguistic information not measured on typical standardised tests. Here, we leverage big behavioural data (AphasiaBank) to understand how discourse genres (narrative, procedural, expositional), and unique tasks within those genres, influence microstructural elements of discourse. We compare task × microstructure interaction across speakers with and without aphasia and evaluate the influence of aphasia type and overall aphasia severity on this interaction. Using multivariate statistical methods, we find that, for both speaker groups, discourse microstructure is most similar for tasks within the same discourse genre and that microstructure is largely dissociable across discourse genres. The aphasia group had more speaker variance per task, which was partially explained by aphasia type and overall aphasia severity. Our results provide necessary information for usage and interpretation of monologic discourse in research and clinical contexts.
Pozzolanic Reactivity Studies on a Biomass-Derived Waste from Sugar Cane Production: Sugar Cane Straw Ash (SCSA)

Biomass has gained in importance as an energy source in recent years. One of the crops that presents interesting opportunities with regard to biomass is sugar cane. In Brazil, sugar cane production is increasing for alcohol and sugar manufacture. Some byproducts, such as sugar cane straw, also are obtained during harvesting. Because of the calorific value of the sugar cane straw, its use as biomass is increasing. After the straw is burned to produce energy, an ash is obtained: sugar cane straw ash (SCSA). This waste needs an appropriate destination, and since the recent publication of successful studies using biomass derived-ashes as pozzolanic material, the present study aimed to assess the pozzolanic reactivity of sugar cane straw ash. The pozzolanic activity was assessed using a new and simple recently proposed method: evaluation of the electrical conductivity of calcium hydroxide (CH) and pozzolan suspensions, in which solid CH is initially present. These results were compared to those of two other we.
Ultra-large Specific Surface Area Activated Carbon Synthesized from Rice Husk with High Adsorption Capacity for Methylene Blue

Activated carbon with high surface area and abundant pore structure is widely used for contaminant adsorption in wastewater treatment. Rice husks (RHs) with unique composition and microstructure are often used as carbon source to prepare activated carbon. Herein, ultra-large specific surface area activated carbon was synthesized from rice husks with pre-activation and activation by supersaturated KOH solution at different temperature. With the increase of activation temperature, the specific surface area and total pore volume of activated carbon gradually increase. The activated carbon obtained at 900 ℃ shows the largest specific surface area of 3600 m2/g and the maximal total pore volume of 3.164 cm3/g, which are significantly superior to those of the commercial activated carbon (YP-80, the specific surface area of 1310 m2/g and the total pore volume of 0.816 cm3/g, respectively). The highest maximum adsorption capacity for methylene blue was found for the activated carbon with the largest specific surface area, namely, 983 mg/g, which is almost twice as high as that of YP-80 (525 mg/g). By adsorption kinetics fitting, the results are consistent with pseudo-second-order model which indicates that the process of adsorbing methylene blue is chemical adsorption.
Geographical analysis of forest types based on a digital elevation model generated from synthetic aperture radar

This research aims to examine forest type distribution, based on slope and aspect maps, generated from synthetic aperture radar (SAR) data. The study is conducted over an area about 1564.9 km2 located in Khutag-Undur soum of Bulgan aimag (province), northern Mongolia. Sentinel1 interferometric SAR images acquired on 5 and 17 October of 2020 are used to generate a digital elevation model (DEM). For a forest type classification, geocoded Sentinel-2 multispectral images acquired on 5 July and 27 September of 2019 are used. Initially, a DEM creation from the SAR data is performed and the slope and aspect maps are generated, following which geographical analysis is performed using slope, aspect and classified forest type maps. The result of the analysis shows that about half of the forested areas face the north-west, north and north-east directions. It also revealed that evergreen conifers are distributed on slopes of moderate degrees facing towards the south-east and south, whereas the deciduous conifers are mainly distributed on relatively steep slopes facing south-west, west and north-west.
Building Reliable Massive Capacity SSDs through a Flash Aware RAID-Like Protection

The demand for mass storage devices has become an inevitable consequence of the explosive increase in data volume. The three-dimensional (3D) vertical NAND (V-NAND) and quad-level cell (QLC) technologies rapidly accelerate the capacity increase of flash memory based storage system, such as SSDs (Solid State Drives). Massive capacity SSDs adopt dozens or hundreds of flash memory chips in order to implement large capacity storage. However, employing such a large number of flash chips increases the error rate in SSDs. A RAID-like technique inside an SSD has been used in a variety of commercial products, along with various studies, in order to protect user data. With the advent of new types of massive storage devices, studies on the design of RAID-like protection techniques for such huge capacity SSDs are important and essential. In this paper, we propose a massive SSD-Aware Parity Logging (mSAPL) scheme that protects against n-failures at the same time in a stripe, where n is protection strength that is specified by the user. The proposed technique allows for us to choose the strength of protection for user data. We implemented mSAPL on a trace-based simulator and evaluated it with real-world I/O workload traces. In addition, we quantitatively analyze the error rates of a flash based SSD for different RAID-like configurations with analytic models. We show that mSAPL outperforms the state-of-the-art RAID-like technique in the performance and reliability.
Inorganic Lead Halide Perovskite Single Crystals: Phase‐Selective Low‐Temperature Growth, Carrier Transport Properties, and Self‐Powered Photodetection

© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim wileyonlinelibrary.com (1 of 7) 1600704 to synthesize large IP single crystals are a major hindrance for their broad appeal in research and practical applicability. For instance, synthesis through the Bridgman technique[13] requires high temperatures (600 °C), high vacuum (10−4 mbar), and exceptionally pure precursors, while the conventional crystallization method, through cooling of a saturated solution, is slow and is practical for producing only small size crystals suitable for single-crystal X-ray diffraction (SC-XRD) analysis. [36] There is thus an urgent need to make high-purity macroscopic single crystals accessible to the broader research community, which would enable the investigation of their fundamental properties and applications in optoelectronics. Here we develop a rapid, low-temperature, solution-based phase-selective synthesis of millimeter-sized cesium lead halide IP single crystals, elucidating some of their key optical and transport properties, and demonstrating their potential for selfpowered optoelectronics. In particular, we show exceptionally low minority (hole) carrier concentrations in these low-temperature-synthesized single crystals, which we take advantage of to design self-powered photodetectors with a high ON/OFF ratio that is one of the highest reported for photodetectors of this class. While normally several days or weeks are required to grow large hybrid perovskite single crystals by the classical cooling method,[30] recently a new strategy—ITC—was developed to synthesize them in few hours. [31–34] The ITC of perovskites was found to be selective to the solvent (e.g., I− and Br− require gamma-butyrolactone (GBL) and dimethylformamide (DMF), respectively). [37] For instance, to grow MAPbBr3, MABr and PbBr2 in a 1:1 molar ratio are dissolved in DMF to form a concentrated solution at room temperature, then heated to grow single crystals as large as 5–7 mm in 3 h. [31] The process of ITC is relatively straightforward for hybrid perovskites. In contrast, the situation is much more complex for IPs such as CsPbBr3. Typical solvents for ITC like DMF are unbalanced solvents for CsPbBr3 precursors (i.e., poor solvents for CsBr and good solvents for PbBr2). Moreover, unlike MABr and PbBr2 that form a single compound—MAPbBr3, the phase diagram of CsBr and PbBr2 is more complex and favors the formation of three compositions— Cs4PbBr6, CsPb2Br5, and CsPbBr3. Therefore, careful design of the solvent and stoichiometry is required to enable the exclusive formation of CsPbBr3, while suppressing all other phases. The schematic shown in Figure 1a summarizes some of the parameters we explored in order to arrive at the pure phase of Inorganic Lead Halide Perovskite Single Crystals: Phase-Selective Low-Temperature Growth, Carrier Transport Properties, and Self-Powered Photodetection
Better Night Lights Data, For Longer*

Night lights data are increasingly used in applied economics, almost always from- the Defense Meteorological Satellite Program (DMSP). These data are old, with- production ending in 2013, and are flawed by blurring, lack of calibration, and- top-coding. These inaccuracies in DMSP data cause mean-reverting errors. This- paper shows newer and better VIIRS night lights data have 80% higher predictive- power for real GDP in a cross-section of almost 300 European NUTS2 regions. - Spatial inequality is greatly understated with DMSP data, especially for the most- densely populated regions. A Pareto correction for top-coding of DMSP data has- a modest effect.
OPTIMASI KONSENTRASI ETIL SELULOSA DAN LAMA PENGADUKAN DALAM PREPARASI MICROSPHERES METFORMIN HIDROKLORIDA

Metformin hidroklorida (MH) merupakan obat pilihan pertama yang digunakan dalam terapi diabetes mellitus tipe 2, namun dapat menimbulkan efek samping pada saluran pencernaan sehingga MH tepat dipreparasi menjadi sediaan microspheres . Banyak faktor yang mempengaruhi hasil preparasi microspheres di antaranya adalah konsentrasi etil selulosa (EC) dan lama pengadukan yang digunakan. Penelitian ini bertujuan untuk mengetahui komposisi terbaik konsentrasi EC dan lama pengadukan yang dapat menghasilkan microspheres MH-EC dengan entrapment efficiency (EE) tertinggi menggunakan optimasi desain faktorial. MH digunakan sebagai bahan aktif, EC digunakan sebagai polimer serta non-aqueous solvent evaporation method sebagai teknik yang dipilih dalam preparasi microspheres . Hasilnya microspheres yang menggunakan konsentrasi EC sebanyak 4.500 mg dan lama pengadukan selama 2 jam menghasilkan EE sebesar 84,6 ± 0,557% dengan nilai verifikasi EE sebesar 98,1%, drug loading sebesar 12,7 ± 0,173% dan yield sebesar 95,1 ± 0,612%. Microspheres memiliki bentuk sferis dan morfologi permukaan yang relatif halus dan cerah serta ukuran partikel sebesar 173,8 ± 4,41µm. Hasil analisis FTIR menunjukkan bahwa tidak ada perubahan gugus fungsi spesifik pada MH sebagai bahan aktif. Kata kunci : microspheres, metformin hidroklorida, etil selulosa
Groundwater investigations in the Hattar industrial estate and its vicinity, Haripur district, Pakistan: An integrated approach

The Hattar industrial estate in the Haripur district, Khyber Pakhtunkhwa (KPK), Pakistan, is investigated for the groundwater potential and aquifer vulnerability using vertical electrical sounding (VES) data, borehole logs, and hydrochemical analysis. A total of eight VES points were acquired in the Haripur region using Schlumberger configuration. The interpreted VES models are further constrained by four borehole logs to delineate comprehensive information of the thin lithological layers, subsurface layers configuration, and spatial extent in the area. A quantitative interpretation based on the VES and the borehole data suggests six main subsurface layers: (i) soil cover, (ii) gravel, (iii) clay, (iv) clay with gravel, (v) silty-clay, and (vi) sand with boulder in the study area. A fence diagram is also generated to provide a detailed paleo-depositional model of the subsurface layers. The interpreted VES data is utilized to compute aquifer thickness, longitudinal conductance, and transverse resistance within the study area. The lateral extent and protective capacity for the aquifer were inferred from these measurements. The aquifer thickness is relatively low in the central and eastern parts ranging from 10 m to 11 m. The longitudinal conductance map shows values greater than 2 mhos from the central region to northern one. This is indicative of moderate to good protective capacity for the aquifer and is less vulnerable to infiltration of Hattar industrial polluted fluid. However, the values less than 0.19 mhos in the southwest and east are indicative of weak protective capacity with risk of contamination. The hydrochemical analysis of the surface and subsurface water is carried out at eleven locations to identify the water quality within the study area. The chemical analysis of the water shows the presence of the high concentration of magnesium, bicarbonate, and chlorine away from the World Health Organization (WHO) standard.
CONVERSATION ANALYSIS: TURN-TAKING MECHANISM AND POWER RELATION IJ CLASSROOM SETTING

Institutional conversation in the classroom has been known to be fully controlled by the teacher in order to achieve specific goals of the teaching and learning process. This study aims at finding out how teachers manage the flow of classroom interaction, how students may possibly take the floor and issue about power and hierarchy between teacher-students in teacher-fronted whole classroom interaction. The result is expected to give an overview or a reflection on how teachers encourage learning to happen by the way they use their power to manage the turn-taking mechanism in whole-class interaction. The data is in the form of unscripted classroom interaction in the field of language from YouTube. Specifically, the analysis is focussed on analyzing the turn-taking rules in a whole class interaction using Conversation Analysis (CA). The gesture is also one means of communication that accompanied verbal communication, and therefore to enrich the data, the gestures of the participants are also taken into consideration. This study found that teacher and students' turn is asymmetrical. However, the teacher possesses no absolute power in terms of controlling the turn-taking as students appeared to overlap the teacher’s talk to take the turn and try to perform an unfocalized effort to nominate themselves as the first speaker using gestures. The content of teachers’ TCU indicates that the teacher tries to stimulate the students’ critical thinking by posting an open-ended question, and evaluates and responds to students’ answers by using a follow-up question.
Design and Simulation of Meshing Performance of Modified Straight Bevel Gears

As key components to transmit power and motion between intersecting shafts, it is necessary to design feasible tooth axial modification to improve the meshing performance and bearing capacity of straight bevel gears. The main purpose of this paper is to propose an effective axial modification method of straight bevel gears considering alignment errors. In this paper, the meshing performance of two kinds of tooth axial modification method (tooth end relief and symmetric crowned modification) for straight bevel gears is investigated by the finite element analysis (FEA). The results show that the tooth end relief is an optimal method to enhance the meshing performance of gears in different installations for decreasing transmission errors, reducing maximum contact stress and bending stress and improving the distribution of contact stress and bending stress. This research provides a suitable tooth end relief method of straight bevel gear with alignment errors.
Voices of English Department Students on Multicultural Values in an Indonesian Islamic Higher Education

This study aims to explore multicultural education values in an Islamic higher education institution. This research focuses particularly on studentsâ€™ views on multicultural education values. This study aims to fill the absence of Islamic university studentsâ€™ voices on multiculturalism. This study draws from several concepts of multicultural education values using multiple case studies approach. The data for this investigation is gained through semi-structure interviews and is analyzed through systematic approach. The result of the study shows that there is new themes appear in this research. These themes extends the existing multicultural values proposed and identified in the earlier studies. This study has both pedagogical and social implications.
ASAD-RD: Accuracy Scalable Approximate Divider Based on Restoring Division for Energy Efficiency

Approximate computing can considerably improve energy efficiency by mitigating the accuracy requirements of calculations in error resilient application programming, such as machine learning, audio–video signal processing, data mining, and search engines. In this study, we propose an approximate divider for dynamic energy-quality scaling, which involves a trade-off between accuracy and latency. Previous approximate dividers for dynamic energy-quality scaling are well-configured, but lack energy-quality scalability. The key is to create a more accurate dynamic approximate divider while extending the limits of accuracy to maximize energy efficiency and meet various accuracy requirements. The proposed divider, called the accuracy scalable approximate divider based on restoring division (ASAD-RD), uses restoring division to significantly improve the error of the approximate divider and to use less latency. For the 8-bit division, SAADI, the previous design, has an average accuracy of 90.78% to 98.77%; however, ASAD-RD can improve the accuracy between 95.2% and 99.23% and hardly requires additional power consumption. Furthermore, for the same target accuracy, ASAD-RD requires fewer cycle iterations than SAADI. Thus, ASAD-RD requires lower energy than SAADI and can operate as an energy-efficient approximate divider.
Pembelajaran Literasi Saintifik untuk Pendidikan Dasar

This research constructs a learning design to guide primary students on achieving scientific literacy. The approach used is a mixed-method sequential exploratory model. This result shows that the validity and reliability of this design in general on the category can be used. The implementation of 35 students in Kabupaten Kudus revealed that this design could be applied by the teacher and could be responded to by students during learning.
Perspectives from the stakeholder: Students’ views regarding learning analytics and data collection

This article reports on a study exploring student perspectives on the collection and use of student data for learning analytics. With data collected via a mixed methods approach from 2,051 students across six Australian universities, it provides critical insights from students as a key stakeholder group. Findings indicate that while students are generally comfortable with the use of data to support their learning, they do have concerns particularly in relation to the use of demographic data, location data and data collected from wireless networks, social media and mobile applications. Two key themes emerged related to the need for transparency to support informed consent and personal-professional boundary being critical. This supports findings from other research, which reflects the need for a nuanced approach when providing information to students about the data we collect, including what we are collecting, why and how this is being used. Implications for practice or policy: When implementing the use of dashboards, institutions should ideally include opportunities for students to opt in and out, rather than being set so that students have agency over their data and learning. When undertaking work in relation to learning analytics, staff need to ensure the focus of their work relates to student learning rather than academic research. When institutions and academic staff collect and use student data (regardless of the purpose for doing so), all aspects of these processes need to be transparent to students.