Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of the Regulatory Sandbox on the Fintech Industry, with a Discussion on the Relation between Regulatory Sandboxes and Open Innovation

As the fintech industry grows around the world, regulatory issues continue to be a hot topic within the industry. To overcome regulatory barriers of the fintech industry, regulatory sandboxes have been adopted. The regulatory sandboxes are beneficial to create a fintech ecosystem, but their effectiveness has not been empirically supported. This study aims to find the expected effects of regulatory sandboxes on fintech venture investments empirically. We conducted an analysis using a country-level comparative research method. To analyze it, we selected nine forerunning countries which have initially adopted regulatory sandboxes. For the purpose of validations, a comparative analysis and a regression analysis were conducted. In the results, we found that the adoption of regulatory sandboxes had very positive influences on the growth of the fintech venture investment. The results implied that regulatory sandboxes may play a vital role in increasing the influx of venture capital into the fintech venture ecosystem by removing regulatory uncertainty. The findings of this research contribute to providing the empirical evidences to policy makers in interpretations of the positive impact of regulatory sandboxes.
The complete chloroplast genome of Magnolia sinostellata (Magnoliaceae), a rare and endangered species of China

Abstract Magnolia sinostellata Chiu & Chen is a rare and endangered species endemic to subtropical China. Here we assembled and annotated the complete chloroplast (cp) genome of M. sinostellata. The chloroplast genome of M. sinostellata is 160,076 bp in length and encodes 79 protein-coding genes, 30 transfer RNA (tRNA) genes and four ribosomal RNA (rRNA) genes. The maximum-likelihood (ML) phylogenetic analysis result reveals that M. sinostellata is most closely related to M. biondii.
An Energy-Efficient and Fast Scheme for Hybrid Storage Class Memory in an AIoT Terminal System

Conventional main memory can no longer meet the requirements of low energy consumption and massive data storage in an artificial intelligence Internet of Things (AIoT) system. Moreover, the efficiency is decreased due to the swapping of data between the main memory and storage. This paper presents a hybrid storage class memory system to reduce the energy consumption and optimize IO performance. Phase change memory (PCM) brings the advantages of low static power and a large capacity to a hybrid memory system. In order to avoid the impact of poor write performance in PCM, a migration scheme implemented in the memory controller is proposed. By counting the write times and row buffer miss times in PCM simultaneously, the write-intensive data can be selected and migrated from PCM to dynamic random-access memory (DRAM) efficiently, which improves the performance of hybrid storage class memory. In addition, a fast mode with a tmpfs-based, in-memory file system is applied to hybrid storage class memory to reduce the number of data movements between memory and external storage. Experimental results show that the proposed system can reduce energy consumption by 46.2% on average compared with the traditional DRAM-only system. The fast mode increases the IO performance of the system by more than 30 times compared with the common ext3 file system.
Characterization and phylogenetic position of two sympatric sister species of toxic flatworms Planocera multitentaculata and Planocera reticulata (Platyhelminthes: Acotylea)

Abstract The complete mitochondrial genomes of two toxic flatworm species of the genus Planocera were determined. The total length of mitochondrial DNA (mtDNA) was 15,657 bp in Planocera multitentaculata and 15,486 bp in Planocera reticulata and included 12 protein-coding genes, 2 ribosomal RNA (rRNA) genes, 22 transfer RNA (tRNA) genes, and 4 non-coding regions. The mitochondrial gene arrangement of these planocerid species was identical to that of previously described acotylean species, Hoploplana elisabelloi, and also to those of other polyclads. Maximum likelihood analysis against 14 Platyhelminthes showed that a tree was robustly constructed using 12 protein-coding genes than COI gene.
EXPLORING THE ECOSYSTEM SERVICE VALUE AND THE IMPLEMENTATION OF AN ECOSYSTEM SERVICE POLICY APPROACH IN A NORTHERN UK CITY.

This project aims to identify and engage two main target groups within the Liverpool City Region (LCR): key decision-makers and the public living within LCR. Both are stakeholders within the commentary surrounding green infrastructure within the region. The project broadly aims to explore stakeholder (both public and private) perceptions of urban greenspace within the LCR. It hopes to further the narrative on the application of environmental economics within northern UK cities through implementing ecosystem valuation methodologies within the wider ecosystem service framework. I have taken this opportunity to advance otherwise limited WTP data within low-income communities by choosing a study site in Everton, North Liverpool, ranked amongst the 1% most deprived areas in the country (Urban GreenUp, 2017). The project also looks more broadly at perceptions of an ecosystem service policy approach and the potential for its implementation within the LCR via accessing current knowledge and perceptions from key decision makers within the region. In short, this study broadly looks to generate data fit to inform environmental decision-making within a local, regional and national scale. The project therefore sets out objectives to: • Elicit public values and perceptions of urban greenspace through the development and application of a willingness-to-pay choice contingent study in Everton, North Liverpool. • Fill gaps in research via generating willingness-to-pay data for GI in a low-income community within a northern UK city. • Assess professional knowledge, perceptions, and the potential for implementation of an ecosystem service policy approach, specifically the natural capital approach, within the Liverpool City Region. • Provide context to the wider discussion around future changes in environmental legislation, in term informing the decision-making process at varying levels.
LARP1 is a major phosphorylation substrate of mTORC1

The mammalian target of rapamycin complex 1 (mTORC1) controls critical cellular functions such as protein synthesis, lipid metabolism, protein turnover and ribosome biogenesis through the phosphorylation of multiple substrates. In this study, we examined the phosphorylation of a recently identified target of mTORC1: La-related protein 1 (LARP1), a member of the LARP superfamily. Previously, we and others have shown that LARP1 plays an important role in repressing TOP mRNA translation downstream of mTORC1. LARP1 binds the 7-methylguanosine triphosphate (m7Gppp) cap moiety and the adjacent 5’terminal oligopyrimidine (5’TOP) motif of TOP mRNAs, thus impeding the assembly of the eIF4F complex on these transcripts. mTORC1 plays a critical role in the control of TOP mRNA translation via LARP1 but the precise mechanism by which this occurs is incompletely understood. The data described herein help to elucidate this process. Specifically, it show that: (i) mTORC1 interacts with LARP1, but not other LARP superfamily members, via the C-terminal region that comprises the DM15 domain, (ii) mTORC1 pathway controls the phosphorylation of multiple (up to 26) serine and threonine residues on LARP1 in vivo, (iii) mTORC1 regulates the binding of LARP1 to TOP mRNAs and (iv) phosphorylation of S689 by mTORC1 is particularly important for the association of the DM15 domain of LARP1 with the 5’UTR of RPS6 TOP mRNA. These data reveal LARP1 as a major substrate of mTORC1.
Spray scheduling of fungicide Difenoconazole 25EC for the management of Stemphylium blight of onion (Allium cepa L.)

A field experiment was conducted during rabi season of 2015 at the Vegetable Research Centre of G.B. Pant University of Agricuture ant Technology, Pantnagar to evaluate the effect of different number of fungicidal sprays of a standard fungicide Difenoconazole 25EC for the management of Stemphylium blight of onion caused by Stemphylium vesicarium (Wallr.) Simmons. The experiment was laid out in RBD and different number of foliar sprays of difenoconazole viz. 3, 4, 5 and 6 sprays was tested starting from 15 and 30 days after transplanting right up to 90 days after transplanting with three replications of each treatment. Results of the experiment revealed that 5 foliar sprays were most effective giving the highest per cent disease control (23.37%) followed by 6 sprays. The highest marketable bulb yield (22.82 t ha-1) was also obtained in the treatment with 5 sprays. The economic analysis of treatments revealed that 5 sprays gave the maximum net return due to treatment (R68,400 ha-1) and highest percent avoidable loss (29.97%), along with maximum net benefit-cost (B:C) ratio of 5.64, followed by 4 sprays. Therefore, 5 sprays of Difenoconazole 25EC at the rate of 125 g a.i. ha-1 was found as the most effective and economical management strategy against Stemphylium blight of onion under tarai region of Uttarakhand.
Estimation of Hourly Near Infrared Radiation Using Artificial Neural Network and Performance Comparison with the Semi-Empirical Model at Nakhon Pathom Province

In this research, methods for estimating near infrared radiation (NIR: 0.695–2.8 micron) at Silpakorn University, Nakhon Pathom province (13.82◦N, 100.04◦E) have been developed using an artificial neural network (ANN) and a semi-empirical model. The input data of these models consist of aerosol optical depth (AOD) and precipitable water (W) measured by a Sunphotometer, and clearness index (kt) obtained from ratio of measured incident solar radiation to calculated extraterrestrial solar radiation. The ANN and semi-empirical models were formulated using the collected data at Nakhon Pathom station for the period of 2009-2015. Then, the results obtained from these models were tested and validated against the measured data at the station during a two-year-period (2016-2017). The comparison results show that the near infrared radiation obtained from the ANN and semi-empirical models are in reasonable agreement with the measurement. The root mean square difference (RMSD) are 6.08% and 4.47%, and the mean bias difference (MBD) are 4.91% and 3.02% for the ANN and semi-empirical models, respectively. Keywords: near infrared radiation, artificial neural network, semi-empirical model, Nakhon Pathom
Land degradation and climate change: Global impact on wheat yields

This study aims at estimating the wheat yield response to future challenges (land degradation and climate change) through a statistical emulator. Data from Global Agro‐ecological Zones on the overall wheat yields of 254 provinces for nine main wheat‐producing countries and corresponding climate and land suitability information were collected to estimate the statistical relationship between regressors and wheat yields. Once the statistical emulator was calibrated, three scenarios were developed to predict, separately and jointly, the impact of climate change and land degradation on wheat yields and productions in 2050 using the global climate model ECHAM4 information under the B2 scenario with the CO2 fertilization effect. Results showed that under temperature and precipitation projections wheat yield would increase on average by 8% (first scenario); however, the impact of future land suitability (second scenario) on wheat yields would be negative, lowering the average yield (−5%), and overall wheat production (−14%). Combining both effects in the third scenario, future wheat yields would increase by 4.6%, while overall production will decrease by 5.5% since the harvest area will be reduced by 9.7%. Thus, land degradation more than climate change is likely to pose significant challenges for overall wheat production in the future.
Design of Ultra‐Wideband Localization System Based on Optimized Time Difference of Arrival Algorithm

In order to solve the problem of low accuracy in indoor positioning, a system based on ultra‐wideband and optimized time difference of arrival (TDOA) is designed. The optimized algorithm of TDOA is adopted to solve the problem of synchronization between anchors and improve the positioning accuracy. The use of LoRa technology for wireless data transmission between anchors improves the flexibility of anchor layout. According to the test, the system can work stably in corridors, rooms, warehouses and other scenarios, and the positioning error is controlled at about 13 cm. The positioning accuracy is 10 times that of the positioning system using WiFi and Bluetooth technology, which can meet the requirements of accurate mobile positioning in complex indoor environment. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
ZAMAN VE FREKANS DÜZLEMİNDE YORULMA ÖMRÜ HESAPLAMA YÖNTEMLERİNİN SONLU ELEMANLAR YÖNTEMİ İLE İNCELENMESİ

There are several vibration induced fatigue damage and life calculation methods in time domain and frequency domain. These methods with the use of finite element method play important role in mechanical design process. In this study, Rainflow counting method and Dirlik counting method are investigated using finite element method and it is found that Dirlik method gives minimum fatigue life. If there is not an option to validate the design with tests and the only way to evaluate the design is the finite element analysis, Dirlik method is advantageous because it gives the safest design.
Integrated Monitoring with Moss-Bag and Mussel Transplants in Reservoirs

For the first time, transplants with moss-bags and mussels together were applied to study the water quality in standing water bodies. The tested species: Fontinalis antipyretica Hedw. and Sinanodonta woodiana (Lea, 1834) were collected from unpolluted sites and analyzed to obtain background levels. Then, the moss and mussels were left in cages for a period of 30 days in three reservoirs where both are not present naturally. Two of the reservoirs suffer from old industrial contamination and one is affected by untreated wastes. Twenty-four compounds were studied, among them trace elements Al, As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Ni, Pb, Zn and organic priority substances: six polybrominated diphenyl ethers (PBDEs) congeners and short-chain chlorinated paraffins (SCCPs). The trace element accumulation was significant after the exposition period in all studied stations. PBDEs and SCCPs were also accumulated up to two times more in the moss tissues. PBDEs in the mussels exceeded the environmental quality standard (EQS). The applied combined transplants, and especially the moss-bags, revealed severe contamination with heavy metals not detected by the water samples. The moss and the mussel followed a different model of trace element and PBDEs accumulation. The SCCPs levels were alarmingly high in all plant samples. The study confirmed PBDEs and SCCPs as bioaccumulative compounds and suggested that an EQS for SCCPs in biota needs to be established.
Prediction of Students Study Period using K-Nearest Neighbor Algorithm

Currently, many higher educations are highly oriented to improve the quality of education and students’ learning achievement. Student achievement determined based on the final grades on certain courses. This study is conducted to use a classification algorithm that applied to predict student study period based on student achievement of final grade. This study proposed K-Nearest Neighbor (K-NN) algorithm that classifies by estimate the distance of student grade. This study analyzes 1,989 computer science student grades data in BINUS University from 2016 to 2019 and the algorithm reaches accuracy of 93.2% in predicting study on-time status, 91.5% in predicting study total year and 75.63% in predicting study total semester. In addition, the accuracy was evaluated from 398 testing data. The conclusion of this study is K-NN Algorithm can be applied to predict student study period based on student grades and increase the graduation rates of students.
Short-term effects of tillage of long-term no-till on nitrous oxide emissions from two contrasting Canadian prairie soils1

Abstract: The reduction in net CO2 emissions from increased carbon sequestration in soil and slower decomposition of soil organic matter under most long-term no-till (NT) situations can potentially be offset by a concomitant increase in nitrous oxide (N2O) emissions after tillage reversal on long-term NT soils. The objective of this work was to quantify N2O emissions after tillage reversal on two contrasting western Canadian Prairie soils managed under long-term (∼30 yr) NT. We measured one growing season (2010) of soil N2O emissions on a Black Chernozem and Gray Luvisol at Ellerslie and Breton, AB, respectively, following 30 yr of NT and N fertilizer application at two rates (0 and 100 kg N ha−1) subjected to tillage reversal and no disturbance (i.e., continuing NT). Tillage reversal after long-term NT was associated with higher N2O emissions in both soils but was significant only in the Gray Luvisol with 0 kg N ha−1. Long-term N fertilizer applications of 100 kg N ha−1 were associated with higher growing season soil N2O emissions and higher levels of soil N (i.e., a positive, long-term soil N balance) at both sites. Regardless of tillage, the difference in growing season nitrous oxide emissions from the 0 and 100 kg N ha−1 plots on the Gray Luvisol were much greater than the Black Chernozem. A modest increase in N2O emissions upon tillage reversal on a long-term NT soils could translate to a significant increase to agricultural greenhouse gas inventories in the event of large-scale tillage reversal on agricultural land in western Canada.
DESIGN AND IN VITRO EVALUATION OF SUSTAINED RELEASE MATRIX TABLETS OF METFORMIN PRODUCED USING DETARIUM MICROCARPUM GUM

Objective: The objective of this study was to evaluate sustained release matrix tablets of metformin formulated using Detarium microcarpum gum (DMG) as the matrix polymer. Methods: DMG was produced by acetone desolvation of the filtrate obtained by maceration of powdered seeds of Detarium microcarpum in distilled water. Metformin matrix tablets were prepared by direct compression technique using DMG or sodium carboxymethylcellulose (NaCMC) alone, or their combinations as the polymer matrix. The tablets were evaluated for hardness, friability, weight uniformity, drug content, swelling behaviour and in vitro dissolution. They were compared to a marketed product. Results: The results of the evaluation showed that the tablets had physical characteristics that were within the acceptable limits and were comparable to the marketed product. They include hardness (7.13±1.99 to 13.17±1.59 Kgf), friability (0.40 to 0.80%), and drug content (95.11 to 104.17%). Formulations MTF2 (30% DMG) and MTF6 (20% DMG and 10% NaCMC) showed good sustained release behaviour, as they released 75% of the drug within 7 to 9 h and 100% release in more than 12 h. Conclusion: DMG alone or with NaCMC was successfully used to formulate sustained release metformin matrix tablets that were comparable to the marketed product.
Increasing the spectral coverage of interferometric integrated optics: K/L and N-laser-written beam combiners

Integrated optics (IO) has proven to be a competitive solution for beam combination in the context of astronomical interferometry (e.g. GRAVITY at the VLTI). However, conventional silica-based lithographic IO is limited to wavelengths shorter than 2. 2μm. We report in this paper the progress on our attempt to extend the operation of IO to longer wavelengths. Previous work has demonstrated the suitability of chalcogenide devices in the MID-IR in the N band and monochromatically at 3.39 μm. Here, we continue this effort with the manufacturing of new laser written GLS IO as beam combiners designed for the astronomical L band and characterized interferometrically at 3.39 μm. In the era of multi-telescope interferometers, we present a promising solution to strengthen the potential of IO for new wavelength ranges.
Strategy Tools in Use: New Empirical Insights From the Strategy-As-Practice Perspective

This paper examines the usage of strategy tools from the strategy-as-practice perspective. In general, there is a lack of empirical evidence regarding the use of strategy tools, particularly in transition economies. The comprehensive and up-to-date research is mainly concerned with the extent of their use and classification. Thus, academics have already highlighted the need to review their role, importance, and use. Accordingly, this research seeks to bridge the current gap between theoretical constructs and empirical proof of the use of strategy tools in enterprises. The study design used for this research is cross-sectional and data were obtained from 314 enterprises in the Republic of Kosova, using standardized survey-based questionnaires. The purpose of this study is to assess the extent to which strategy tools are used in the sampled enterprises. It also aims to distinguish their use according to educational background, different sized enterprises, and different sectors. The results of this study reveal that Kosovan enterprises have a low usage rate of strategy tools. More precisely, the two most used strategy tools resulted in SWOT analysis and vision and mission statements. This paper provides some important insights into strategy tools usage in the Republic of Kosova, as a transition economy. While it provides a better understanding and awareness of strategy tools usage, there are other possible study areas that could offer significant value.
Asymmetrical Decentralization and Equitable Development in Papua

The main objective of the implementation of asymmetric decentralization is to realize the distribution of power and authority so that each region has the opportunity to develop the existing potential and carry out governance independently, and also to realize social justice and fair welfare for all levels of society. However, in practice, there is an irony. Papua, in particular, received special autonomy but it has not been able to increase its development. This study aims to analyze Papua's asymmetric decentralization in its development and political aspects. The method used in this research is descriptive qualitative. The results of this study show that the implementation of asymmetric decentralization in Papua has not yet achieved its objectives, especially in increasing equitable development in Papua.
Text Analysis on Instagram Comments to Better Target Users with Product Advertisements

Online advertising has been growing steadily over the years as more and more people connect to the internet. Advertising online can reach a large crowd which is both an advantage and disadvantage because a lot of people will see products they don’t want. Targeted online advertisements are gaining popularity because it only shows advertisements to people who might be interested in the product based on their preferences and online presence. But these targeted advertisements are still not enough to narrow down the users to sell products. There might be products that might not be needed by certain people at certain times thus reducing the effectiveness of the advertisement. The text analysis tool for Instagram is developed in order to narrow down the most repeated words of media posts based on the type of photo, the gender of who made the comment, and the time the comment was posted. These repeated words are then visualized using a word cloud and word histogram so that businesses can determine which and what products to advertise. A two-week advertising experiment was done wherein during the first week, a random product was advertised on Instagram while in the second week, the text analysis tool was used to determine which product to advertise. The number of sales slightly increased in week two compared to week 1 (18 items vs 16 items sold) while the number of customer inquiries dramatically increased from 92 in the first week to 157 on the second week.