Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolism of Non-growing Cells and Their Application in Biotransformation

Growing cells is the typical mode of operation in many aspects of biotechnology and metabolic engineering. This comes about due to cell growth processes creating a driving force that pull metabolic flux along different metabolic pathways, that indirectly help move substrate to product. But, there is an alternative mode of operation that uses resting (non-growing) cells to achieve similar or even higher productivities. In general, resting cells are provided with carbon substrates for biocatalytic reactions but starved of nitrogen or phosphorus. Such resting cells have been usefully employed in many forms of biocatalysis and biotransformation, with or without cofactor regeneration. However, much remains unknown about the transcriptome and metabolome of resting cells in biotransformation settings. This short writeup provides the backdrop of resting cells in biocatalysis, documents their use in biotransformation with application examples, and identifies research gaps that could be filled with contemporary RNAseq and mass spectrometry proteomics technology. Overall, utility of resting cells in biocatalysis and the extant knowledge gap in their fundamental physiology are highlighted in this resource.
INCREASING DESIGN PROCESS ROBUSTNESS IN THE CASE OF DURABLE CONSUMER GOODS

Abstract: Designing and manufacturing consumer products, especially durable goods that are foreseen to have a rather long lifecycle, is increasingly difficult due to the frequent changes of trends, preferences and requirements of the customers or end-users. If previously, the main functionality of the product had to be defined and the details could be worked out through successive iterations, in the world of Industry 4.0 and smart products, the focus has shifted towards products that have to be successful from the beginning (form the first attempt) and should also be capable of adaptability to changing circumstances. The current paper presents a case study that addresses these issues in the furniture industry, where software enhanced products are not an easy solution to the requirements for flexibility, and as such robust design approaches based on risk management and contingency planning should be employed. Key words: robust design, durable goods, risk management, furniture
Whence ‘honeste vive’?

Kant's characterisation of honeste vive as an unenforceable duty of right owed to oneself poses two systematic problems: it conflicts with Kant's claims that (a) duties of right concern the external relation between distinct individuals and (b) duties of right are externally enforceable. Both of these claims speak against the possibility of a duty of right to oneself. This article addresses this interpretative problem. Regarding (a) I suggest that while honeste vive is a duty owed to oneself, the content of the duty concerns one's interaction with others. Regarding (b) I maintain that honeste vive is a general duty of right, and such duties are not externally enforceable. This view both allows for an understanding of the structure of obligation in the Doctrine of Right as a whole and forces us to reconsider two central aspects of Kant's concept of right — namely, that all rights are externally enforceable and owed to others. Not only does honeste vive belong to the Doctrine of Right but understanding the way in which it does can illuminate the significance and scope of duties belonging to Kant's political philosophy.
The complete mitochondrial genome of Quasipaa exilispinosa (Anura: Dicroglossidae)

Abstract The complete mitochondrial genome (mitogenome) of Quasipaa exilispinosa (Anura: Dicroglossidae) we sequenced can provide critical information for mitogenome evolution. This mitogenome with 17,046 bp long contains 13 protein-coding genes (PCGs), 22 transfer RNA genes, two ribosomal RNA genes, and one non-coding regions. The overall AT content of 58.6%. The data using Bayesian phylogenetic inference supports the close relationship with Q. spinosa from the genus Quasipaa. Our results will be helpful for detail study on phylogenetic relationships of the related taxa.
Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite

Accurate forecast of the thermospheric density is critical to the space community. The data assimilation approach that is based on the self‐consistent upper‐atmosphere model may provide better predictive capability of the coupled thermosphere system. In this study, a physics‐based assimilation system (hereafter referred to as PIDA) that is based on the Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model was used to validate the capability of reproducing the evolution of the global thermosphere state. The effective solar and geophysical drivers were estimated by ingesting neutral density from a single satellite into the PIDA. It was found that the PIDA can reproduce the temporal variation of the global thermospheric density at around the altitude where the orbit density was ingested. Furthermore, the PIDA is also capable of capturing the temporal evolution of the thermospheric density at various altitudes. However, a systematic bias, depending on altitude, is seen in the modeled neutral density of the PIDA. Moreover, this systematic bias in the thermospheric density is likely ascribed to the overestimation of the density in the lower thermosphere. Consequently, the spatial and temporal evolutions of the lower thermosphere under various conditions should be considered carefully in the physics‐based data assimilation system. Additionally, the assessments of the obtained results suggested that the observations of multiple parameters at different altitudes are required to be assimilated into the thermospheric model.
Predicting Obsessive-Compulsive Disorder based on Mindfulness, Cognitive Emotion Regulation Strategies, and Coping Strategies

Aim and Background: Obsessive-compulsive disorder is one of common disabling disorders in adolescents. Many factors contribute to the emergence and maintenance of this disorder, among which cognitive constructs have recently attracted much attention. Therefore, the present study was aimed to predict obsessive-compulsive disorder in middle school students based on the components of mindfulness, cognitive emotion regulation strategies and coping strategies. Methods and Materials: This study was descriptive and correlative study. The statistical population consisted of all middle school students in city of Tabriz in academic year of 1397-98. Finally, data of 357 students (200 girls and 157 boys) who had been selected as research sample through multistage cluster sampling method, were analyzed. The research data were collected by Obsessive–Compulsive Inventory-Revised (OCI-R, Foa et al. 2002), Kentucky Inventory of Mindfulness Skills (KIMS), the short 18-item version of Garnefski and Kraaij’s Cognitive Emotion Regulation Questionnaire (CERQ-short) and Endler & Parker's Coping Inventory for Stressful Situations (CISS). The collected data were analyzed using Pearson correlation coefficient and stepwise multiple regression analysis. Findings: The findings showed that self-blame of cognitive emotion regulation strategies (r=0.159, p<0.01) and avoidance-oriented of coping strategies (r=0.058, p<0.01) have a significant positive relationship with obsessivecompulsive disorder. Acceptance without judgment (r=-0.151, p<0.01) and description (r=-0.103, p<0.01) of mindfulness components and task-oriented coping style (r=-0.073, p<0.01) have a significant negative relationship with obsessive-compulsive disorder. Finally, self-blame and Acceptance without judgment were able to explain 3.9 percent of the variance of obsessive-compulsive disorder in two steps. Conclusions: Considering these results, for preventing adolescents ‘obsessive-compulsive disorder, paying attention to self-blame and acceptance without judgment variables is so necessary.
The complete chloroplast genome sequence of Elaeocarpus braceanus: the first Celastraceae plastome

Abstract The first complete chloroplast genome (cpDNA) sequence of Elaeocarpus braceanus was determined from Illumina HiSeq pair-end sequencing data in this study. The cpDNA is 158,225 bp in length, contains a large single-copy region (LSC) of 85,731 bp and a small single-copy region (SSC) of 17,654 bp, which were separated by a pair of inverted repeats (IR) regions of 27,420 bp. The genome contains 133 genes, including 88 protein-coding genes, 8 ribosomal RNA genes, and 37 transfer RNA genes. Further phylogenomic analysis showed that E. braceanus clustered in a clade in Celastrales order.
Influence of Post-Flowering Chemical Thinning on Development and Fruit Quality of 'Fuji Suprema' and 'Maxigala' Apple Trees

Aims: Evaluate possible alterations in the development, anatomy and quality of fruits from 'Maxi Gala' and 'Fuji Suprema' apple plants treated with Metamitrom (MM) and Benzyladenine (BA) alone or in combination, applied at different stages of fruit development in the Midwestern region of the state of Santa Catarina. Study Design: The experiment was arranged in a randomized block design with five replicates. Place and duration of Study: The experiment was carried out in the municipality of Caçador-SC, Brazil, during the growing season of 2016/2017. Methodology: Two products, BA (with hormonal action) and MM (photosynthesis inhibitor) were applied individually or in a tank mix in post-flowering periods (in fruits of 5-10 mm and 15-20 mm in equatorial diameter), which were compared with plants with no thinning and manual thinning of both cultivars. Treatments were as follows: Control (no thinning) MM, BA, MM + BA (in fruits of 5-10 mm in diameter); MM, BA, MM + BA, manual thinning (in fruits of 15-20 mm in diameter). The phenological stage of F2 (Full flowering (FF) was observed on September 28, 2016 for both cultivars. Evaluations of the anatomical characteristics of fruits at the time of harvest did not show any alteration in cell size (mean cell area - μm2) and cell density (number of cells per fruit section area); the mean fruit mass was higher in MM 350 mg L-1 (5-10 mm), MM 350 mg L-1 + BA 40 mg L-1 (5-10 mm), and MM 350 mg L-1 (15-20mm) treatments. In the 'Fuji Suprema' cultivar, except for control treatments, MM 350 mg L-1 (5-10mm) and BA 80 mg L-1 (5-10mm), a significant reduction in production was observed (kg plant-1 and fruit-1). While in 'MaxiGala', all the thinning treatments reduced yield per plant. The cultural thinning practice, fruit load management, adapting the number of fruits according to plant size is the most important factor that producers are able to influence. Thinning reduces fruit load in the plant, which allows remaining fruits the possibility of greater growth and size gain. The combination of MM + BA is efficient in the thinning of apple fruits, especially when applied at the beginning of fruit development (5-10 mm in diameter). The application of chemical thinners, such as MM and BA, may influence the early stages of fruit development.
Behind the Numbers: Questioning Questionnaires

Is complex, ambiguous, and fluctuating social reality measurable? Sometimes yes, perhaps, but often not. At least not in the fairly straightforward way assumed by many researchers. This study is an ethnographic inquiry into data collection during a survey research project. Based on our observations of participants’ spontaneous thoughts and confusions as they filled in questionnaires on “leadership” and “teamwork”, we draw attention to hidden problems in much organizational research. Many respondents found measures ambiguous, irrelevant, or misleading. We (a) underline the inherently interpretative nature of research into complex organizational phenomena, (b) warn against lack of reflexivity and overreliance on existing survey instruments when we study complex social aspects of organizations, (c) identify five categories of possible problems, and (d) suggest paths towards better informed research that take context seriously.
An experimental study on the comparative analysis of the effect of the number of data on the error rates of artificial neural networks

In this study, the effect of the amount of data used in the design of artificial neural networks (ANNs) on the predictive accuracy of ANNs was investigated. Five different ANNs were designed using the experimentally measured specific heat data of the Al2O3/water nanofluid prepared at volumetric concentrations of 0.0125, 0.025, 0.05, 0.1 and 0.2 using the Al2O3 nanoparticle. The developed ANN is a multi‐layer perceptron, feedforward and backpropagation model. In each ANN with 15 neurons in the hidden layer, the volumetric concentration (φ) and temperature (T) values were nominated as input layer factors and the specific heat value was estimated as the output value. With the aim of survey the effect of the amount of data on the predicted results of the ANN, a different amount of datasets were used in each developed ANN. In this context, in total 260 data were used in the Model 1 ANN. Subsequently, the total amount of data was reduced by 20% in each developed neural network and 55 data were used in the ANN named Model#5. The results obtained show that ANNs are highly talented of predicting the specific heat values of Al2O3/water nanofluid. However, in the comparisons, it was evaluated that the amount of data used had a share on the prediction performance of the ANN and that the decrease in the amount of data with the prediction performance of the ANN decreased.
Can a reduced rate of herbicide benefit native plants and control ground cover weeds

The use of herbicide to control weeds in natural areas can cause non-target damage to resident native plant communities and compromise native restoration goals. We tested ‘full’ and ‘reduced’ (half) rates of herbicide (rates based on previous glasshouse trials) on the ground cover weed species tradescantia (Tradescantia fluminensis), plectranthus (Plectranthus ciliatus), and climbing asparagus (Asparagus scandens) to determine whether the reduced rate would cause less non-target damage to natives and achieve sufficient control of the weeds. We also included a manual removal (hand-weeding) treatment, and experimental control (non-treatment). These four treatments were applied to dense ground cover weed infestations at six lowland forest sites. Subsequent responses of the ground cover weed, native and other exotic plant species were monitored for 24 months. Two months after treatment, biomass of all three weed species was reduced to extremely low levels across all treatments relative to controls. Twenty-four months after treatment, biomass of plectranthus remained low, but tradescantia and climbing asparagus had recovered to near pre-treatment biomass levels across all treatments. Recovery of tradescantia was positively correlated with canopy openness. The reduced rate of herbicide gave a similar level of weed control to the full rate, across all three weed species, however repeat treatments appear necessary for sustained control of tradescantia and climbing asparagus. At sites invaded by plectranthus, the reduced rate of herbicide also increased native species richness. However, herbicide treatments had no effect on native plant abundance or native species richness at sites invaded by tradescantia and climbing asparagus. Manual removal sometimes benefited native plants, but all treatments increased abundance and/ or species richness of other exotic plant species at some sites. Generally, native plant abundance and native species richness decreased with increasing canopy openness, while the opposite was true for exotic species. This study provides evidence that, although repeat applications are likely necessary, a reduced rate of herbicide can benefit native plants and achieve ground cover weed control. Further research to fine-tune these results and extend them to other ground cover weed species would be invaluable.
Process for banana puree preservation at rural level

Description d'un procede de fabrication de puree de banane, stable a temperature ambiante (28 a 30 o C). Cette technique permet l'utilisation sur place des fruits non exportables. Ce procede inclut un traitement thermique (94 o C) et un traitement chimique (conservateur, acidification)
Genetically tuned fuzzy controlled flywheel powered micro-grid for improved frequency control

In this article, hybrid wind-diesel system is powered with a genetically tuned fuzzy controlled flywheel for improving its frequency control. Flywheel is interfaced with the system through an electrical machine (generator/motor) and an electronic converter for synchronization. Fuzzy logic controller for the flywheel is designed in such a way that it continuously controls the system frequency and simultaneously satisfies the operational constraints of flywheel. Fuzzy logic controller is optimized by genetically tuning its membership functions. Regulated variable based on frequency deviation of system and speed characteristics of flywheel is introduced to reach out to the optimized membership functions. Necessary modeling has been done and effectiveness of the assembly has been confirmed by the simulation results.
WAYS OF COPING WITH STRESS AND PERCEIVED SOCIAL SUPPORT AMONG MOTHERS OF CHILDREN WITH INTELLECTUAL DISABILITY

Aim: The objective of this study was to determine levels of perceived social support and ways of coping with stress in mothers of children with intellectual disability. Materials and Methods: The study was conducted with mothers of children with intellectual disability who were registered in two vocational training centres. The descriptive and cross-sectional study was conducted with 84 mothers of children with intellectual disability. Data were collected the Scale of Ways of Coping with Stress, and with the Multidimensional Scale of Perceived Social Support. Results: It was found that as support from friends, significant others, and total perceived social support increased in mothers of children with intellectual disability, the use of effective ways of coping with stress increased (p<.05). As the children’s age increased, the mothers’ use of effective methods for stress increased (p<.05). Mothers who had boys and difficulties regarding the future had low levels of perceived social support (p<.05). Conclusion: Social support provided by friends or significant others was important for coping with stress effectively in mothers of children with intellectual disability.
Validating the Mark-HadGEM2-ES and Mark-MIROC5 Climate Models to Simulate Rainfall in the Last Agricultural Frontier of the Brazilian North and North-East Savannah

The MarkSim climate data generator is designed to have global validity in scales of up to five degrees. Thus, the objective of this study was to evaluate the performance of the MarkSimHadGEM2-ES and MarkSim-MIROC5 models to estimate average rainfall in the last agricultural frontier of the savannah in the north and north-east regions of Brazil. For this purpose, the simulated data were compared with those observed and recorded by the National Institute of Meteorology, being evaluated by statistical measures of correlation, bias and performance. The results revealed high bias and relative error, with unsatisfactory performance in the micro regional Method Article Santos et al.; AIR, 21(8): 43-54, 2020; Article no.AIR. 58660 44 and regional scales. Calibration by means of regression improved performance and showed that in order to reproduce the current climate and make reliable projections in these spatial scales possible, there is a need to correct the systemic errors of these models.
How to measure diffusion coefficients in biofilms: A critical analysis

Biofilm and granular sludge processes depend on diffusion of substrates. Despite their importance for the kinetic description of biofilm reactors, biofilm diffusion coefficients reported in literature vary greatly. The aim of this simulation study was to determine to what extent the methods that are used to measure diffusion coefficients contribute to the reported variability. Granular sludge was used as a case study. Six common methods were selected, based on mass balances and microelectrodes. A Monte Carlo simulation was carried out to determine the theoretical precision of each method, considering the uncertainty of various experimental parameters. A model‐based simulation of a diffusion experiment was used to determine the theoretical accuracy as a result of six sources of error: solute sorption, biomass deactivation, mass transfer boundary layer, granule roughness, granule shape, and granule size distribution. Based on the Monte Carlo analysis, the relative standard deviation of the different methods ranged from 5% to 61%. In a theoretical experiment, the six error sources led to an 37% underestimation of the diffusion coefficient. This highlights that diffusion coefficients cannot be determined accurately with existing experimental methods. At the same time, the need for measuring precise diffusion coefficients as input value for biofilm modeling can be questioned, since the output of biofilm models has a limited sensitivity toward the diffusion coefficient.
Hemodialysis Vascular Access with Central Venous Disease

Vascular access (VA) for hemodialysis (HD) is the lifeline of a patient. Arteriovenous fistula (AVF) is the gold standard of VA, but there are challenging situations when providing long-term VA becomes challenging, in the presence of central vein stenosis (CVS), which is common in patients on hemodialysis, but its exact prevalence is not known. It would be ideal to have proper venous mapping with imaging modality to be able to plan central venous access. This prior venous mapping will help to plan the target vein and delineate venous path to be able to place HD catheter in the best position or resolve the VA-related problems. However, digital subtraction angiography remains the gold standard of the procedure, during which the target vein is accessed via ultrasound guidance, and subsequent passage of wire is done under fluoroscopic guidance. Venous angiography and, if indicated, angioplasty are performed. For complete chronically occluded thrombotic veins, recanalization needs to be attempted. Stenting is reserved for a select group of patients. There are advances in endovascular techniques to deal with CVS, and it needs a multidisciplinary team approach to tackle the complex issues of VA-related central venous disease (CVD).
Lipid Accumulation Modulation by Garcinia atroviridis Fruit Extract in 3T3-L1 Adipocyte Cells

Abstract Garcinia atroviridis contains hydroxycitric acid (HCA) that affects obesity and obesity-related diseases. This paper aims to quantify the amount of (HCA) available in the fruit extract of Garcinia atroviridis and investigate the lipid modulation properties possessed by the extract in the 3T3-L1 adipocyte cell line. High-performance liquid chromatography (HPLC) analysis was used to quantify HCA in the extract, whereas differentiated adipocytes were evaluated Oil Red O staining. The expression of PPARγ and C/EBPα was investigated using western blot, and the lipid content was confirmed using leptin ELISA assay. HPLC analysis quantified about 11.35 ± 0.55 % (w/w) of HCA in the fruit extract, with a retention time of 0.9 minutes corresponding to the standard. In the adipogenesis assay, an increased co-treatment concentration was observed and inhibited the formation of intracellular lipids. According to the western blot analysis, the treatment was found to significantly affect the expression of C/EBPα proteins solely. Meanwhile, the leptin assay finding was in agreement with the adipogenesis analysis as a decrement of leptin released was noted at increased treatment concentrations. Finally, the fruit extract enhanced the adipocyte breakdown (adipolysis) process as revealed by the glycerol concentration measured in the adipolysis assay. The findings indicated that the fruit extract of G. atroviridis played a role in the alteration of lipid accumulation processes by the intervention of proteins associated with adipogenesis and enhanced adipolysis.