Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of Internet of Things in Cell-Based Therapy Delivery: Protocol for a Systematic Review

Background Internet of Things (IoT), or Industry 4.0, represents a smart shift to more interconnected manufacturing processes where individual entities within the supply chain communicate with each other to achieve greater flexibility and responsiveness in general manufacturing and leaner manufacturing to reduce the cost of production. IoT has become instrumental in driving leaner manufacturing and more efficient systems in other industries such as transportation and logistics. Cell-based therapeutic products could potentially transform various diseases; however, the delivery of these products is complex and challenging. Objective This study aims to understand the applicability of IoT in cell-based product supply chains and delivery. Methods We will search Medline, EMBASE (OvidSP), Web of Science, Cochrane Library & HEED, Scopus, ACM digital library, INSPEC, ScienceDirect, and the IEEE Xplore Digital Library for studies published after 2008 using a combination of keywords and subject headings related to IoT used in cell therapies. Additionally, a Google search to identify gray literature will be conducted. Two authors will independently screen the titles and abstracts identified from the search and accept or reject the studies according to the study inclusion criteria. Any discrepancies will then be discussed and resolved. The quality of the selected literature will be assessed using the Critical Appraisal Skills Programme systematic review checklist. Results Data from eligible publications will be abstracted into a predesigned form to map the current and future directions of the technologies, applications, benefits, and challenges in the implementation of IoT in regenerative medicine. This study will be published in a peer-reviewed journal in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. This systematic review will be executed by June 2020, and the completed review will be published in a peer-reviewed journal to inform future developments in IoT application for the delivery of cell-based therapies. Conclusions This review paper will provide an overview of all technologies available in the area and inspect the current IoT applications in cell-based therapies to identify the benefits, challenges, and future directions of using IoT to allow safe and cost-effective delivery of cell-based therapies. International Registered Report Identifier (IRRID) PRR1-10.2196/16935
Carbon dioxide mitigation with tabat system on peatland

Peatland conservation to maintain the natural condition is the best way to resolve carbon dioxide emission problem due to land use change; and to reduce fire in peatland. However, peatland conservation in extensive agricultural peatland is difficult to execute (or accomplish). Peatland can be productive for agriculture with the appropriate technology. Water management is required to regulate groundwater level which is suitable for plants and maintain soil moisture. Tabat is a water management system carried out with the installation of water-gate in the drainage channels to regulate groundwater level. The purpose of this study was to determine the role of tabat system in mitigating CO2 emissions. This research was conducted by survey method and then field sampling on rubber land use. The research carried out in two experimental units in the peatland; 1) the drainage channel is equipped with the water-gate/Tabat (RST), Tabat size adjusted to the channel dimensions, and 2) there are no water-gate on the drainage channel (RNT). The parameters of CO2 fluxes, groundwater levels, and water content were carried out from January to December 2015. The results showed that the water management of Tabat System reduced CO2 emissions by 23.6% and enable to prevent loss in water-holding ability of fibric peat by 13.9%. This indicates that water management Tabat System enable maintain peat moisture and as a CO2 mitigation.
Background calibration of bit weights in pipeline ADCs using a counteracting dither technique

A counteracting dither technique is proposed to remedy the bit-weight error issue in pipeline analogue-to-digital converters (ADCs). A capacitor is added to the traditional comparator dither scheme. By switching the added capacitor, the residue swing increment due to comparator dither is counteracted, thereby greatly relaxing the design requirement of the residue amplifier. Behaviour-level simulation results show that the spurious-free-dynamic-range and the signal-to-noise-and-distortion-ratio are improved from 59 and 52.8 dB to 102.7 and 85 dB after calibration in a 14-bit ADC, respectively.
Hydrogen bonding investigation of poly(3-hydroxybutyrate) / glycol chitosan blends studied by infrared and terahertz spectroscopies

Poly(3-hydroxybutyrate) (PHB)/glycol chitosan (GC) polymer blend was developed as one of the new biopolymer materials. Effects of different PHB / GC concentrations were analysed as a function of the blend compositions by using Fourier transform infrared (FTIR) and terahertz (THz) spectroscopies to investigate the changes in the higher-order structure and bonding of hydrogen. The higher-order structure and hydrogen bonding monitored in this study include the crystalline structure and (C=O…H-C) hydrogen bonding of PHB. The FTIR and THz spectra showed that PHB's higher-order structure transforms into the less-order structure by adding GC without altering the crystalline structure and PHB's intramolecular (C = O . H-C) hydrogen bonding with increasing GC concentration. Because of the addition of GC, the intensity ratio of THz bands figure out the crystalline dynamics of PHB, the helical structure deformation occurs first followed by the weakening of intramolecular (C = O . H-C) hydrogen bonding within PHB-PHB molecules. Keywords: Chitosan, higher-order structure, hydrogen bonding, low-frequency vibrational spectroscopy
CryptoKitties and the New Ludic Economy: How Blockchain Introduces Value, Ownership, and Scarcity in Digital Gaming

This article analyzes specific characteristics of value created through digital scarcity and blockchain-proven ownership in cryptogames. Our object of study is CryptoKitties, the first instance of a blockchain-based game that has garnered media recognition and financial interest. The objective of this article is to demonstrate the limits of scarcity in value construction for owners of CryptoKitties tokens, manifested as breedable virtual cats. Our work extends the trends set out by earlier cryptocurrency studies from the perspective of cultural studies. For the purpose of this article, we rely on open blockchain analytics such as DappRadar and Etherscan, as well as player-created analytics, backed by a one-year-long participant observation period in the said game for research material. Combining theoretical cryptocurrency and Bitcoin studies, open data analysis, and virtual ethnography enables a grounded discussion on blockchain-based game design and play.
Effect of influent carbon fractionation and reactor configuration on mainstream nitrogen removal and NOB out-selection

An intermittently aerated, pilot scale biological nitrogen removal process was operated in modified Ludzack Ettinger (MLE) and fully intermittent aeration (all reactors aerated) configurations. The process was fed both A-stage effluent (ASE), and primary clarifier effluent (PCE), which differ in chemical oxygen demand (COD) composition. The objective was to determine the effects of influent carbon fractionation and reactor configuration on nitrite oxidizing bacteria (NOB) out-selection and total inorganic nitrogen (TIN) removal during intermittent aeration. TIN removal was affected by both the type and amount of influent COD, with particulate COD (pCOD) having a stronger influence than soluble COD (sCOD). NOB out-selection was lowest in the MLE configuration, regardless of the feed, and highest in fully intermittent configuration with A-stage feed. During fully intermittent operation with A-stage effluent feed, nitrite accumulation correlated positively with influent particulate COD concentration, and correlated negatively with ex situ NOB activity rates. In addition, ex situ denitrification batch tests showed that nitrite was consumed faster than nitrate when NOB rates were low. These observations suggested that pCOD improved heterotrophic competition for nitrite, leading to ammonia oxidation rates higher than nitrite oxidation rates. Therefore, the influent COD fractions should be tailored to achieve the desired nitrogen removal goals downstream.
Microstructure and mechanical properties of porous SiC ceramics by carbothermal reduction and subsequent recrystallization sintering

ABSTRACT Porous SiC ceramics were prepared by a new approach combination of carbothermal reduction and subsequent recrystallization sintering. Firstly, micro-sized SiC particles were used as the skeleton, and SiC spherical nanocrystals were in-situ synthesized by the vapor-solid reaction between carbon nanoparticles and silicon monoxide vapor. The shape and diameter of SiC nanocrystals are related to the pristine carbon nanoparticles, showing a shape memory effect. After recrystallization sintering, high purity α-SiC porous ceramics with tailored necking area were obtained by the evaporation-condensation of SiC nanocrystals. A linear relation was revealed between the flexural strength and the value of d/d0 of porous recrystallized SiC (RSiC) ceramics (the neck diameter to coarse micron-sized grains diameter ratio). The necking area and d/d0 value increased with the SiC nanocrystals content, due to the higher saturated vapor pressure resulted in high mass mobility to neck area of SiC nanoparticles. As a result, a remarkable value of d/d0 ~ 99% and outstanding flexural strength of 75.7 MPa could be achieved for the porous RSiC ceramics with ~42% porosity by adding 20 wt. % nano-sized SiC sintered at 1950°C for 2 h.
Development of Financial Statement Applications for SMEs based on Financial Accounting Standards for Micro, Small and Medium Enterprises

—The purpose of this study is that SMEs can prepare and present financial reports that are good and true in accordance with applicable Financial Accounting Standards namely the Financial Accounting Standards for Micro, Small and Medium Enterprises which will facilitate access to capital from the banking, so as to increase competitiveness UKM. Methods using qualitative research combined with quantitative, especially when viewed from the type of data and how to analyze it. Whereas in Android-based Application Development, the following stages are used; 1) Preparation Stage; 2) Analysis Phase; 3) Design Stage; 4) Implementation Stage; 5) Testing Phase and 6) Reporting Phase. The results of this study indicate that SMEs need to have skills in preparing financial reports so that it is easy to get access to capital to banks. For this reason, applications need to be developed that make it easy for SMEs to create Android-based financial reports so that they are easy to access.
Improvement of sphericity test for large-dimensional covariance matrix

This paper discusses the problem of testing the sphericity of population covariance matrix when the sample size n and the dimensionality p both tend to infinity with p / n → c ∈ (0,1). A new test statistic is presented by utilizing an inequality, and asymptotic properties of the proposed statistic are derived for generally distributed population under the null hypothesis. Numerical simulations demonstrate that the proposed statistic has a significant improvement on test powers under the alternative hypothesis by comparing with some congeneric statistics.
Comparative study of two potential recuperating converters in DC railway electrification system for harmonic mitigation

The regenerative braking energy produced by Light-Rail-Transit (LRT) train is commonly transferred back to power grid via a conventional three-phase inverter (recuperating converter). Although this is a cost saving solution but the ac grid current and voltage waveforms were distorted. Hence passive filters are integrated to mitigate the harmonics. This paper proposed to replace the conventional inverter system with a multilevel converter. Cascaded H-Bridge (CHB) converter and Modular Multilevel Converter (MMC) are selected to be evaluated in this paper due to their modularity structures. The aim of this study is to determine the most potential multilevel converter to be implemented without additional passive filters. Nine-level CHB and nine-level MMC converters are modeled with MATLAB/Simulink simulation tool. Both converters are modulated with Level-Shifted Pulse Width Modulation technique. The output voltage and current waveforms generated by CHB and MMC are presented with full analysis. It is concluded that MMC converter is more suitable to be used as a recuperating converter. It produces a clean voltage and current waveforms. The voltage and current Total Harmonic Distortion (THD) indexes are found approximate to 8% and 3%.
DUT-5 modified Pd metal-nanoparticles: synthesis, chemical stability, and hydrogen sorption studies

The safety and effectiveness of hydrogen storage are important factors in supporting the utilization of hydrogen as fuel. One of the MOFs materials might be potentially used for hydrogen storage is MOF based on Al3+ including ([Al(OH)BPDC]) (BPDC: 4,4′-biphenyl dicarboxylic acid) which well known as Dresden University of Technology (DUT-5). This study aims to investigate the influence of Pd metal nanoparticles embedded into DUT-5 with a variation: 1 and 5 wt% toward the structural feature and hydrogen sorption properties. According to XRD and FTIR spectroscopy, nitrogen sorption isotherm and SEM-EDX analysis, the basic structure of DUT-5 were partially decomposed after the impregnation process. TEM analysis showed Pd nanoparticles were well dispersed into DUT-5. Nitrogen sorption isotherm revealed that Pd loading into DUT-5 lead to decrease surface area and pore volume of DUT-5 up to 85.82%. Based on thermogravimetry analysis, thermal stability of the material did not change after impregnation. Hydrogen sorption measurement revealed the presence of Pd is not able to increase hydrogen storage capacity of DUT-5 due to the framework destruction, however, in Pd/DUT-5 materials, the increasing of Pd concentration can increase the hydrogen storage capacity which might be due to a spillover effect.
Impacts of form of salt-limited supplement on supplement intake behavior and performance with yearling heifers grazing dryland pastures

© The Author(s) 2019. Published by Oxford University Press on behalf of the American Society of Animal Science. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com Transl. Anim. Sci. 2019.3:1650–1654 doi: 10.1093/tas/txz048
한국어 공간 정보 추출 Korean Spatial Information Extraction using Bi-LSTM-CRF Ensemble Model

Spatial information extraction is to retrieve static and dynamic aspects in natural language text by explicitly marking spatial elements and their relational words. This paper proposes a deep learning approach for spatial information extraction for Korean language using a two-step bidirectional LSTM-CRF ensemble model. The integrated model of spatial element extraction and spatial relation attribute extraction is proposed too. An experiment with the Korean SpaceBank demonstrates the better efficiency of the proposed deep learning model than that of the previous CRF model, also showing
An Innovative Hybrid-Excited Multi-Tooth Switched Reluctance Motor for Torque Enhancement

Permanent magnets (PMs) have been widely used in different types of electrical machines to improve their performance. This article introduces a novel multi-tooth hybrid-excited switched reluctance motor (MT-HESRM) with PMs placed between the end teeth of the adjacent modules. Thanks to the innovative method of embedding PMs, a unique design is developed. First, the operating principle of the motor is explained, and the magnetic circuit model of the motor is analyzed. The magnetic characteristics in terms of flux density, flux linkage, inductance, and torque are obtained and compared with those of its PM-less counterpart. The mathematical model of the reluctance and PM torques is presented. The reluctance and PM torques are decoupled using the finite-element analysis, and the torque contribution of the PMs is discussed. The steady-state operations of both motors with both current chopping and single-pulse controls are analyzed and compared under different speeds. Finally, both motors are manufactured, the laboratory tests are done, and the experimental results are extracted. Both the simulation and test results elucidate that the MT-HESRM, which has only three small PMs as auxiliary flux sources, has unique features in terms of high output power and torque with a negligible cogging torque.
Analysis of Aldosterone Synthase Gene Promoter (- 344 C >T) Polymorphism in Indian Diabetic Nephropathy Patients

Aim: the aim of the present study is to evaluate the association between CYP11B2gene and type 2 diabetic nephropathy patients in Indian population. Result: There was a significant difference in age, cholesterol, triglycerides, HDL, creatinine, BUN, Uric acid, total protein, Albumin, SBP, DBP variables except LDL Cholesterol among the study groups. The frequencies of CYP11B2 gene CC, CT, TT genotypes among the T2DNH are 16.67 %, 51.19 %, 32.14 %; in T2DM patient 10.66 %, 52.46 %, 36.88 % and 16.95%, 38.14%, 44.91% in controls respectively and we could not observe significant differences in both genotype (x2=7.289, p=0.121) and allele frequency (X2=1.82, p=0.403) of the CYP11B2 gene (-344 T>C) polymorphism between T2DNH, T2DM patients and Controls subjects. Conclusion: Our findings do not support the hypothesis that CYP11B2 polymorphism is associated with prevalence of Type 2 diabetic nephropathy patients in Indian populations.
Halting the Momentum? The Effect of Social Buffering on the Craft Focus of Wholesaler Portfolios

We identify which specific types of wholesalers were distributing products from anincreasingly important niche segment of the beer industry, namely craft beer. As traditional recommendations of the strategy literature disregard lock-ins from previous market ties are present, we introduce the notion of social buffering to indicate the embeddedness of organizations into their history of cumulative relationships. We use longitudinal data on distributor establishments and their local portfolio composition between 1997–2016 from three different U.S. states. Our results reveal that it is distributors that are able both to leverage positional strategies in their local portfolios and free themselves from the lock-in associated with their historically beneficial social and market relationships with the large brewers who distribute craft.
Estimating and Forecasting of Dynamic linear Gaussian State Space Models for Commodity Futures

The Kalman filter is used to estimate the parameters and forecast the observations in a dynamic Nelson-Siegel model a linear Gaussian state space representation for futures contracts on the commodities oil, natural gas, cotton, copper, gold and sugar. The three-factor Nelson-Siegel model is compared to three-factor Nelson-Siegel model with seasonality terms to check for seasonality in the different commodities. Using Wilks’ Theorem we find that natural gas, cotton and sugar has an improved model fit by adding the seasonality term. The Kalman filter is shown to be a great model fit for most commodities except for natural gas and cotton, there needs to be further studies to find out why the parameter estimates for these two commodities are not as expected. For the forecasting of the observations, the Kalman filter performs very well with both three-factor model Nelson-Siegel and the three-factor Nelson-Siegel with a seasonality term. It was not possible to forecast the observations for sugar for the three-factor Nelson-Siegel model because the variance matrix of the prediction error is singular. Thus it does not have an inverse which is crucial for the Kalman filter. This should also be studied further to figure out why this happens for the sugar data.
Research Note: A unifying framework for the widely used stabilization of potential field inverse problems

We present a brief review of the widely used and well‐known stabilizers in the inversion of potential field data. These include stabilizers that use L2, L1 and L0 norms of the model parameters and the gradients of the model parameters. These stabilizers may all be realized in a common setting using two general forms with different weighting functions. Moreover, we show that this unifying framework encompasses the use of additional stabilizations which are not common for potential field inversion.
Florigen family chromatin recruitment, competition and target genes

Plants monitor seasonal cues, such as day-length, to optimize life history traits including onset of reproduction and inflorescence architecture 1–3. Florigen family transcriptional co-regulators TERMINAL FLOWER 1 (TFL1) and FLOWERING LOCUS T (FT) antagonistically regulate these vital processes 4–6 yet how TFL1 and FT execute their roles and what the mechanism is for their antagonism remains poorly understood. We show genome-wide, that TFL1 is recruited to the chromatin by the bZIP transcription factor FLOWERING LOCUS D (FD) in Arabidopsis. We find that seasonal cue-mediated upregulation of FT competes TFL1 from chromatin-bound FD at key target loci. We identify the master regulator of floral fate, LEAFY (LFY) as a target under dual opposite regulation by TFL1 and FT. Exonic bZIP motifs in LFY are critical for repression by TFL1, upregulation by FT and adoption of floral fate. Transcriptomic identification of target genes directly repressed by the TFL1-FD complex not only identifies key regulators of onset of reproduction and floral fate, but reveals that TFL1-FD repress sugar and hormone signalling pathways and chromatin regulators. Our data provide mechanistic insight into how florigen family member sculpt inflorescence architecture, a trait important for reproductive success and yield.