Miracle-dz/UniFAR-FTUs huggingface dataset:
CARACTERÍSTICAS FISIOLÓGICAS DE MICROT OMATEIROS FIT OCROMO-MUT ANTES Physiological characteristics of micro-tomato (Lycopersicon esculentum P. Miller) phytochrome-mutants

RESUMOObjetivou-se, neste trabalho, caracterizar aspectos fisiologicos de microtomateiros (Lycopersicon esculentum P. Miller cv.Micro-Tom) fitocromo-mutantes. A cultivar Micro-Tom e os mutantes aurea (deficiente na biossintese do cromoforo dos fitocromos),atroviolacea (atv) e high pigment 1 (hp1; ambos superexpressam eventos mediados por fitocromos) foram cultivados em condicoescontroladas de luz e temperatura e caracterizados no estagio de floracao. O mutante hp1 obteve as maiores taxas de fotossintesepotencial e de conteudo de carotenoides. O mutante aurea manteve taxas de fotossintese potencial similares a cultivar Micro-Tom,mesmo expressando o mais baixo conteudo de clorofilas, e tambem expressou o maior conteudo de nitrogenio entre os demaismicrotomateiros. Os mutantes aurea e hp1 obtiveram os menores conteudos de acucares soluveis totais. O mutante atv expressou omaior conteudo de clorofilas e tambem a menor razao clorofila a/b.Termos para indexacao: Lycopersicon esculentum, Micro-Tom, pigmentos fotossinteticos, fotossintese.ABSTRACTThe objective of this work was to characterize physiological aspects of micro-tomato (Lycopersicon esculentum P. Miller cv.Micro-Tom) phytochrome-mutants. Plants of Micro-Tom cultivar and aurea (deficient in phytochrome chromophore biosynthesis),high pigment 1 (hp1) and atroviolacea (atv) (both super express phytochrome events-mediated) mutants were cultivated undercontrolled light and temperature and evaluated in flowering stage. The hp1 mutant expressed the highest rates of potential photosynthesisand also the content of total carotenoids. Aurea mutant maintained similar potential photosynthesis rates as the Micro-Tom cultivar,even containing low chlorophyll content, and expressed the highest content of nitrogen among all micro-tomatoes studied. Totalsoluble sugars were lower in aurea and hp1 mutants. The atv mutant expressed the highest content of chlorophylls and also thelowest rate of chlorophyll a/b.Index terms: Lycopersicon esculentum, Micro-Tom, photosynthetic pigment, photosynthesis.
Food and Industrial Grade Titanium Dioxide Impacts Gut Microbiota

Abstract Titanium dioxide (TiO2), frequently used in foods, coatings, pigments, and paints, accounts for a major fraction of engineered nanomaterials released from products during usage. Impacts of food and industrial grade TiO2 on the composition and phenotype of a human gut microbiota, representing an upstream anthropogenic system, were studied to elucidate systemic perturbations to the microbial community. Findings show an inhibition of an expected, natural shift in microbial composition observed during control conditions from Proteobacteria to Firmicutes phyla in the presence of both types of TiO2 particles, with food grade exposures having a greater effect. Additionally, both TiO2 exposures resulted in lower values of the colonic pH ( 5), with food grade exposures recording the largest reduction (∼pH 4). Similar trends in microbial community hydrophobicity and electrophoretic mobility between baseline, food, and industrial grade exposures indicate TiO2 exposures may ha.
Q-Extension of Starlike Functions Subordinated with a Trigonometric Sine Function

The main purpose of this article is to examine the q-analog of starlike functions connected with a trigonometric sine function. Further, we discuss some interesting geometric properties, such as the well-known problems of Fekete-Szegö, the necessary and sufficient condition, the growth and distortion bound, closure theorem, convolution results, radii of starlikeness, extreme point theorem and the problem with partial sums for this class.
A new CRISPR screening approach for identifying novel autophagy-related factors and cytoplasm-to-lysosome trafficking routes

Selective autophagy comprises cytoplasm-to-lysosome trafficking routes that transport cargos using double-membrane vesicles (autophagosomes). Cargos are detected by receptor proteins, which typically also bind to lipid-conjugated LC3 proteins on autophagosome membranes. We dissected lysosomal delivery of four SQSTM1-like receptors by genome-wide CRISPR screening looking for novel autophagy-related (ATG) factors and trafficking routes. We uncovered new mammalian ATG factors including TMEM41B, an endoplasmic reticulum membrane protein required for autophagosome membrane expansion and/or closure. Furthermore, we found that certain receptors remain robustly targeted to the lysosome even in the absence of ATG7 or other LC3 conjugation factors. Lastly, we identified a unique genetic fingerprint behind receptor flux in ATG7KO cells, which includes factors implicated in nucleating autophagosome formation and vesicle trafficking factors not previously linked with autophagy. Our work uncovers new ATG factors, reveals a malleable network of autophagy receptor genetic interactions, and provides a valuable resource (http://35.196.197.20:3838/cscrispr/) for further mining of novel autophagy mechanisms.
A new model for early diagnosis of alzheimer's disease based on BAT-SVM classifier

Magnetic Resonance Images (MRI) of the Brain is a significant tool to diagnosis Alzheimer's disease due to its ability to measure regional changes in the brain that reflect disease progression to detect early stages of the disease. In this paper, we propose a new model that adopts Bat for parameter optimization problem of Support vector machine (SVM) to diagnose Alzheimer’s disease via MRI biomedical image. The proposed model uses MRI for biomedical image classification to diagnose three classes; normal controls (NC), mild cognitive impairment (MCI) and Alzheimer’s disease (AD). The proposed model based on segmentation for the most involved areas in the disease hippocampus, the features of MRI brain images are extracted to build feature vector of the brain, then extracting the most significant features in neuroimaging to reduce the high dimensional space of MRI images to lower dimensional subspace, and submitted to machine learning classification technique. Moreover, the model is applied on different datasets to validate the efficiency which show that the new Bat-SVM model can yield promising acceptable level of accuracy reached to 95.36 % using maximum number of bats equal to 50 and number of generation equal to 10.
Highly Stable Pt‐Based Ternary Systems for Oxygen Reduction Reaction in Acidic Electrolytes

In the era of the global rise of energy consumption and the accompanying environmental issues, energy production via fuel cells plays a vital role in a clean, secure, and affordable energy future. The development of Pt‐based binary alloy catalysts for the oxygen reduction reaction (ORR) has contributed significantly to the commercial realization of fuel cells, such as polymer electrolyte membrane fuel cells (PEMFCs) and phosphoric acid fuel cells (PAFCs). However, the short lifetime of the Pt‐based binary alloy catalyst remains a significant gap between lab‐scale and real‐device evaluation systems, calling for the development of catalysts that do not have stability issues. Among the various catalyst systems developed as alternatives to Pt‐based binary alloy catalysts, Pt‐based ternary systems with an additional element to the binary systems seem to provide the much‐awaited answer toward enhanced catalyst stability. Here, this progress report focuses on fundamental challenges of industrial fuel cell applications and provides broad and balanced insights on remarkable progress to date. Finally, it presents several perspectives on ideal ternary system design of efficient and robust Pt‐based electrocatalysts and guidance for future development beyond the academic level.
Emotion Regulation Questionnaire-Adapted and Individual Differences in Emotion Regulation

Emotion regulation is a human adaptation process with important implications for daily life. Two specific emotion regulation strategies were the principle areas of study: reappraisal (cognitive change in which individuals adapt their state of mind about a given situation) and expressive suppression (response modulation in which individuals change their emotional response after its initiation). The Emotion Regulation Questionnaire (ERQ), that captures individual tendencies to reappraise and to suppress the expression of emotions, was also developed. Response modulation strategy was analyzed by considering two distinct processes: expressive suppression (down-regulation) and expressive enhancement (up-regulation). This latter modulation process has been less frequently studied by researchers. The present study investigates the psychometrical properties, individual differences and correlates of a French adapted version of the ERQ, which comprises reappraisal and the two response modulation tendencies – expressive suppression and expressive enhancement. Based on the initial ERQ, new items were created and added to the scale. The three-factor structure of the ERQ adapted was confirmed. As expected, emotion regulation is linked to individual differences: the tendency to reappraise has a positive low correlation with age; and men are significantly more disposed to suppress and to enhance than women. Finally, the tendency to suppress the expression of emotions is negatively correlated with extraversion, and the disposition to enhance the expression of emotions is negatively correlated with conscientiousness.
Monte Carlo Comparison of n-Type and p-Type Nanosheets With FinFETs: Effect of the Number of Sheets

Analytic doping profiles and contact resistivities are adjusted to reproduce measured transfer characteristics of state-of-the-art n-type and p-type FinFETs by Monte Carlo device simulation. The results are used to compare the performance of nanosheets (NSs) and FinFETs at advanced-node device dimensions. It is found that the ON-current normalized by the effective gate width reduces for a higher number of sheets due to a higher access resistance of the lower-lying sheets. In order to reach the same absolute current level of FinFETs with a fin height of 55 nm, more than two sheets for n-type and about four sheets for the p-type NSs with a NS width of 16 nm are needed, respectively. This technology computer-aided design (TCAD) approach can serve as input for design-technology cooptimization (DTCO) of advanced devices.
Role of Public Auditors in Fraud Detection: A Critical Review

The need for independent audit goes back to the agency theory, the theory of delegation of power and the issue of trust. Stakeholders delegate power to management to manage the business on their behalf, yet they face the risk of information asymmetry and management motivations to commit fraud. The main aim of having an independent auditor was therefore to reduce the risk of information asymmetry and fraudulent behaviour by management. Auditors are required by the International Auditing Standards to detect material fraud and error, and they are expected to have a duty of care for stakeholders. However, recently independent auditors, whether conducting private or public audit, have been scrutinised for failing to detect material fraud. There have been a lot of discussions in the literature about the role of private auditors in detecting fraud, but very little discussions about the role of public auditors in detecting fraud. This chapter will outline the difference between private audit and public audit; explain the legal liability of public auditors in relation to fraud detection; the role of public auditors in detecting fraud; and will critically review the root causes for auditors’ failure to detect fraud.
Vision Guided Crop Detection in Field Robots using FPGA-Based Reconfigurable Computers

A case study in applying modern FPGAs as a platform to accelerate intelligent vision-guided crop detection in agricultural field robots is presented. A state-of-the-art YOLOv3 object detection neural network was adapted to detect broccoli and cauliflower in image dataset obtained from autonomous agricultural robots. A baseline floating point implementation achieved 96% mAP, and an efficient, quantized implementation suitable for FPGA implementation 92% mAP. The proposed FPGA solution has 136.86 ms inference latency while consuming 12.43W in a low latency configuration, and 28.48 frames per second while consuming 17.78W in a high throughput one. Compared to an embedded GPU implementation of the same task, the FPGA solution was 4.12 times more power-efficient and offers 6.85 times higher throughput, translating to faster and longer operation of a battery-powered field robot.
The earnings returns to postgraduate degrees in the UK

Postgraduate education has expanded rapidly in the last couple of decades, with more than 350,000 students now starting a postgraduate course in the UK each year, compared with only around half this number 20 years ago. As increasing numbers of students consider postgraduate study, accurate information on the returns to the different options they face is essential for allowing them to make an informed decision on whether, where and what to study. Previous evidence on the returns to postgraduate study in the UK has generally implied that the returns are quite large and positive. However, the current evidence on postgraduate returns has faced serious limitations, primarily due to data availability. This report provides estimates of the earnings returns to completing postgraduate degrees for British and Northern Irish students studying in Britain. It uses the Longitudinal Education Outcomes (LEO) dataset to account for differences in individuals' background and prior university attainment to estimate the impact of postgraduate qualifications on earnings at age 35, relative to having an undergraduate degree and not proceeding onto further study.
Coordinating office space: Digital technologies and the platformization of work

Digital technologies enable the dispersal of office work from physical office buildings. The same technologies involve a counter tendency of concentration where offices are shared by different businesses, often for short periods, via the ‘space as service’ model. These opposing tendencies of workspace dispersal and concentration indicate the contingencies of technologies of work, in which their operations are mutually shaped by workplaces. Understanding what a technology of work is requires examining its situated actions and spaces of activity, like the office. Yet, the spatial characteristics of the present-day office demonstrate that ‘situatedness’ is by no means a straightforward vehicle for understanding contemporary technologies of work. Digital technologies tend less to divide space according to a specific function (i.e. work–life division), and more to create spaces of coordination that can adjust the definition of purposeful activity. Such spaces of coordination constitute the platformization of work with digital technologies in which spatial and temporal processes for instituting work extend beyond a single organization. Including but exceeding the ‘gig economy’ and ‘platform labour’, platformization indicates a wider reorganization of work through technologies that produces flexible arrangements of space and time, creating forms of independence, interdependence and dependency that challenge orders of work–life division.
A comprehensive study on smart cities: recent developments, challenges and opportunities

This paper presents the importance and applications of smart cities in view of taxonomy in urbanization particularly in Asia and Africa economies. It describes the characteristics and architecture of smart cites and reviews on the recent technological developments. The paper analyses the social impacts due to up-gradation of existing cities. The implementation goals like policies and standards are still in progressive state. The international organizations like IEEE, ISO, IEC etc are focused in this emerging area and prepared road map for successful deployment of technologies in cities. In this way of development, there are some interesting challenges like visualization, integration, privacy etc, need to be addressed with specific and innovative solutions. The paper highlights the opportunities in developing and governance of smart cities.
Yield Potential and Stability Indices as Methods to Evaluate Sprung Wheat Genotypes under Drought

Selection for drought tolerance typically involves evaluating genotypes for either high yield potential or stable performance under varying degrees of water stress. Field Studies were conducted in 1992 and 1993 to assess methods for evaluating genotypes with combined high yield potential and stability, in both years, 12 spring wheat (Triticum aestivum. L.) genotypes were grown under two irrigation levels (well-watered and stressed) imposed between tillering and anthesis with a line-source sprinkler irrigation system. Drought susceptibility index (the ratio of the yield of genotype in drought to the yield of the same genotype in well watered conditions standardized by the mean yield of all genotypes in drought and well watered conditions) and relative yield (yield of an individual genotype under drought divided by the yield of the highest yielding individual genotype in a population under drought) values were used to describe yield stability and yield potential of the 12 spring wheat genotypes. There were year-to-year variations in drought susceptibility index (DSI) and relative yield (RY) values within genotypes and changes in genotypic rankings within years. The DSI values ranged from 0.42 to 1.24 in 1992 and from 0.51 to 1.59 in 1993. The mean RY were 0.79 and 0.86 in 1992 and 1993, respectively. The DSI did not provide a good indication of yield potential as some genotypes has DSI < 1 but RY lower than average under water-stressed conditions. The RY (higher than average) under water stress was a good indicator of yield potential of a genotype per se but gave no indication of yield stability. The plots of DSI vs. RY values were found useful in identifying genotypes with high yield potential and relatively stable yield performance under different moisture regimes.
Expression and characterization of recombinant human epidermal growth factor receptor antigene (HER-2) as an indicator of breast cancer in yeast fermented systems

Introduction : Immunotherapy has been practiced for more than two decades in the treatment of cancer. In this method, monoclonal antibodies bind to tumor specific antigens and inhibit their function. Therefore, scientists are looking for special targets on cancer cells that can be differentiate cancer cells from normal cells. In some cancers, including breast cancer h uman epidermal growth factor receptor-2 (HER-2) is significantly higher than the normal level. The goal for this project was to obtain expression with high quality of HER-2 with high activity in yeast expression system and its use in future studies. Materials and Methods : In order to express the extracellular domain of the HER-2 receptor we have used pPICZα and Pichia pastoris wild type X33 as a sequence vector and host cell respectively. Expression of HER-2 was analyzed using Sodium Dodecyl Sulfate Poly Acrylamide Gel Electrophoresis 7% and accuracy of expression was confirmed by ELISA. Results: The expression of Her-2 antigen was evaluated by 7% SDS-PAGE with 185 KDa protein ladder. The results indicated that the expression of Her-2 antigen has been increased by IPTG induction. Moreover, the activity of Her-2 antigen was studied by ELISA technique using commercial anti Her-2 monoclonal antibody (Herceptin) and Her-2 antigen has shown high affinity to Herceptin. Conclusion: In this study, we have produced the Her-2 antigen in yeast expression system. With regards to yeast expression system advantages including secretory expression, protein folding, protein glycosylation, and activity of expressed protein in a wide range of pH, the Her-2 antigen which expressed in yeast host has great quality and will be used in future studies
Deep Learning for LiDAR Waveforms with Multiple Returns

We present LiDARNet, a novel data driven approach to LiDAR waveform processing utilising convolutional neural networks to extract depth information. To effectively leverage deep learning, an efficient LiDAR toolchain was developed, which can generate realistic waveform datasets based on either specific experimental parameters or synthetic scenes at scale. This enables us to generate a large volume of waveforms in varying conditions with meaningful underlying data. To validate our simulation approach, we model a super resolution benchmark and cross-validate the network with real unseen data. We demonstrate the ability to resolve peaks in close proximity, as well as to extract multiple returns from waveforms with low signal-to-noise ratio simultaneously with over 99% accuracy. This approach is fast, flexible and highly parallelizable for arrayed imagers. We provide explainability in the deep learning process by matching intermediate outputs to a robust underlying signal model.
Characterization of Azotobacter vinelandii and Kits for Its Synthetic Biology Applications

Azotobacter vinelandii, a Gram-negative aerobic bacterium with an intracellular anaerobic environment that maintains the oxygen-sensitive enzymatic cascades for nitrogen fixation, could be used to express oxygen-sensitive proteins. However, little is known about the properties of A. vinelandii for synthetic biology applications. We therefore first characterized and optimized the conditions for growing and screening BioBrick constructs in A. vinelandii in the presence of 2 antibiotics, ampicillin and chloramphenicol, and then developed two sets of BioBricks for regulated protein expression. The first kit used T7 RNA polymerase, whose expression is under the control of a nitrogen-repressible nifH promoter. The commonly used T7-dependent system in Escherichia coli can then be used in A. vinelandii. Because its intracellular anaerobic environment is favorable for processes such as magnetosome biogenesis, we attempted to migrate the biogenesis machineries from the magnetotactic bacterium Magnetospirillum gryphiswaldense to A. vinelandii. During this undertaking, another insertion kit construct was developed to allow protein conjugation onto magnetosomes. The kit consists of mamC, a gene encoding a transmembrane protein on magnetosomes, and multiple restriction sites downstream of mamC for fusing a gene of interest. This insertion kit allows the attachment of any desired protein onto the magnetosome membrane by fusing with the mamC protein. We demonstrated the function of this kit by fusing mamC to a GFP nanobody. This kit will facilitate the conjugation of any target protein onto magnetosomes for downstream applications in the future. Financial Disclosure We received sponsorship from the 2012–15 Teaching Development Grants Triennium, Faculty of Engineering and Biochemistry Program, School of Life Sciences, The Chinese University of Hong Kong. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests The authors declare that no competing interests exist. Ethics Statement N/A. Data Availability All data are fully available without restriction.