Miracle-dz/UniFAR-FTUs huggingface dataset:
Gene effects for grains per spike, grain weight and grains per spikelet in a set of nineteen crosses of wheat

Generation means analysis involving six basic generations of each of the 19 crosses of wheat (Triticum aestivum L.) involving 20 genetically diverse parents was used to elucidate the inheritance of grains per spike, grain weight and grains per spikelet. The additive and additive x additive gene effects were significant in a great majority of cases. However, the magnitude of additive gene effects was quite small as compared with other gene effects. The dominance and dominance x dominance gene effects, though present in about one third of the crosses were of larger dtagnitude but were unexploitable due to their opposite signs. The detection of both fixable and non fixable gene action and of duplicate epistasis implies the use of biparental approachlintermating in early segregating generations.
A Study of Anode-Supported Solid Oxide Fuel Cell Modeling and Optimization Using Neural Network and Multi-Armed Bandit Algorithm

Anode-supported solid oxide fuel cells (SOFCs) model based on artificial neural network (ANN) and optimized design variables were modeled. The input parameters of the anode-supported SOFC model developed in this study are as follows: current density, temperature, electrolyte thickness, anode thickness, anode porosity, and cathode thickness. Voltage was estimated from the SOFC model with the input parameters. Numerical results show that the SOFC model constructed in this study can represent the actual SOFC characteristics very well. There are four design parameters to be optimized: electrolyte, anode, cathode thickness, and anode porosity. To derive the optimal combination of the design parameters, we have used a multi-armed bandit algorithm (MAB), and developed a methodology for deriving near-optimal parameter set without searching for all possible parameter sets.
Application of AFLP Technique to the Study of Calving Interval Trait of Thai Swamp Buffalo (Bubalus bubalis)

This study aimed to develop genetic markers specific for the calving interval (CI) trait of the domestic Thai buffalo (Bubalus bubalis) using the technique of Amplified Fragment Length Polymorphism (AFLP). Using two groups of buffalo with extreme CI phenotypes, several AFLP markers were identified. The DNA sequences of all identified polymorphic AFLP fragments were determined by DNA sequencing and analyzed with BLAST searches. Interestingly, the analysis showed that the sequence of the AFE7M24-2 marker has a high similarity with the prostaglandin f2α receptor gene, while the sequences of the AFE16M25-2 and AFE4M28-3 markers have high similarity with the follicle stimulating hormone receptor gene of sheep (Ovis aries).
Multiscale computational prediction of β-sheet peptide self-assembly morphology

ABSTRACT Although nanostructures self-assembled by short peptides are very promising in developing novel biomaterials and nanomaterials, it is still a great challenge to design the peptide molecular structure which will self-assemble into designated nanostructures. By combining elastic theory with molecular dynamics simulations, we introduce a multiscale computational approach to predict the β-sheet morphology self-assembled by short peptides in aqueous solution only based on the molecular structure of the peptide. In our approach, the gap between the elastic model and atomistic model is bridged by the simplified model, whose parameters are determined by enhanced sampling and extensive all-atom molecular dynamics simulation results at different levels. This multiscale approach is applied to two model peptides KIIIIK (KI4K) and IIIIKK (I4K2) to test its validity. The computational results, consistent with the previous experimental observations, show that KI4K with a higher ratio of inter-sheet interaction to intra-sheet interaction tends to form tube-like morphology with a larger width, while I4K2 with a lower ratio tends to form fibril with a smaller width. This methodology is anticipated to be helpful for computer-aided design of nanostructures self-assembled by short peptides.
Design and Development of Smartphone-Enabled Spirometer With a Disease Classification System Using Convolutional Neural Network

Spirometry is one of the most basic of pulmonary function tests, and the measurements of this test, such as forced vital capacity, forced expiratory volume in the first second, and peak expiratory flow, play an important role in the diagnosis of obstructive lung diseases, such as chronic obstructive pulmonary disease and asthma. The lack of point-of-care, primary care, and personalized applications prohibits individuals from monitoring their own lung conditions beyond the hospital visit. This article presents the design and development of a low-cost, portable, smartphone-enabled spirometer with an automatic disease classification system based on the spirometric signal using the convolutional neural network. The classification model was trained using data, stored in the device, and the best model was extracted with an accuracy of 98.98%, which outperforms other classification models, such as long short-term memory network, deep belief network, and stacked autoencoder. The pretrained model has been imported in the smartphone device for real-time classification of spirometry.
Plant evolution can mediate negative effects from honey bees on wild pollinators

Abstract Pollinators are introduced to agroecosystems to provide pollination services. Introductions of managed pollinators often promote ecosystem services, but it remains largely unknown whether they also affect evolutionary mutualisms between wild pollinators and plants. Here, we developed a model to assess effects of managed honey bees on mutualisms between plants and wild pollinators. Our model tracked how interactions among wild pollinators and honey bees affected pollinator and plant populations. We show that when managed honey bees have a competitive advantage over wild pollinators, or a greater carrying capacity, the honey bees displace the wild pollinator. This leads to reduced plant density because plants benefit less by visits from honey bees than wild pollinators that coevolved with the plants. As wild pollinators are displaced, plants evolve by increasing investment in traits that are attractive for honey bees but not wild pollinators. This evolutionary switch promotes wild pollinator displacement. However, higher mutualism investment costs by the plant to the honey bee can promote pollinator coexistence. Our results show plant evolution can promote displacement of wild pollinators by managed honey bees, while limited plant evolution may lead to pollinator coexistence. More broadly, effects of honey bees on wild pollinators in agroecosystems, and effects on ecosystem services, may depend on the capacity of plant populations to evolve.
A Review of Traditional Helical to Recent Miniaturized Printed Circuit Board Rogowski Coils for Power-Electronic Applications

Latest wide-bandgap power devices are switching progressively faster compared with existing silicon devices. Their accurate current measurements for either control or protection have therefore become tougher. One method that can fulfill the requirements is to use a Rogowski coil and its accompanied electronics to form a Rogowski current sensor with high bandwidth, small volume, low cost, and ease of integration. This article therefore aims to review various aspects of the Rogowski current sensor from its history, measuring principles to modern power-electronic applications. The applications have, in turn, motivated a progression from traditional helical to recent miniaturized printed circuit board implementation, in order to improve the overall power density. This progression has similarly been reviewed, together with its various design aspects applied to the winding, integrator, shielding, and parameters of the Rogowski current sensor. Future challenges and directions are then summarized, whose ultimate goal is to maximize accuracy over a wide bandwidth without being affected by radiated and near-field-coupling interferences.
Complete mitochondrial genome of the witch-hazel leaf gall aphid Hamamelistes spinosus (Hemiptera: Aphididae: Hormaphidinae)

Abstract We sequenced the complete mitochondrial genome of Hamamelistes spinosus using the shotgun genome-skimming method. The mitogenome of H. spinosus is 15,089 bp in length with a much higher A + T content of 81.8% than that of G + C (18.2%) and consists of 13 protein-coding genes (PCGs), 2 rRNA genes, 22 tRNA genes and 1 control region. All the 13 PCGs initiate with a typical ATN and end with TAA except for two genes COX1 and ND4, which terminate with a single T. All the tRNAs form a classical clover-leaf secondary structure except for tRNA-Ser (AGN), which does not have the dihydrouridine (DHU) arm. In addition, we constructed the phylogenetic tree of Aphididae with two species Adelges laricis and Daktulosphaira vitifoliae as outgroups and the results showed that Hamamelistes spinosus is sister to Hormaphis betulae and they are closely allied with Neothoracaphis yanonis.
Hubungan antara Pola Asuh Keluarga dengan Kejadian Balita Stunting pada Keluarga Miskin di Palembang

Background: Stunting is a result of a malnutrition state that accumulates for an extended time and is a threat to the future of Indonesian children. The incidence of toddler’s stunting is indirectly related to the role of parenting in the family, namely feeding, nurturing, hygiene and getting health services. The aim of the study was to analyze the correlation of parenting to the incidence of toddler’s stunting on poor families in Palembang.Methods: This research was an observational study which using a quantitative approach with a Cross Sectional Study design on March 2019. Data samples of 100 mothers who had children aged 24-59 months from poor families in Palembang were chosen by proportional random sampling.Result: The results showed that the proportion of toddler’s stunting in poor families in Palembang was 29%. The results of bivariate analysis showed that there was a relationship between feeding habits (p = 0,000); parenting habits (p = 0.001); hygiene habits (p = 0.021); and the habit of getting health services (p = 0,000) with the incidence of stunting for toddlers.Conclusion : Normal height (not stunting) toddlers have parenting habits such as feeding habits, nurturing habits, hygiene habits and the habit of getting health services better than stunting toddlers in the same economic backgrounds family.
Cerebral cortex activation during the Sternberg verbal working memory task

Despite intensive study, the data regarding functional role of specific brain regions in the working memory processes still remain controversial. The study was aimed to determine the activation of cerebral cortex regions at different stages of the working memory task (information encoding, maintenance and retrieval). Functional magnetic resonance imaging (fMRI) with the modified Sternberg task was applied to 19 healthy volunteers. The objective of the task was to memorize and retain in memory the sequence of 7 letters with the subsequent comparison of one letter with the sequence. Activation was analyzed during three periods of the task compared to the rest period, as well as temporal dynamics of changes in BOLD signal intensity in three regions: left dorsolateral prefrontal, left posterior parietal and left occipital cortex. According to the results, significant activation of the regions in prefrontal and posterior parietal cortex was observed during all periods of the task (p < 0.05), but there were changes in its localization and lateralization. The activation pattern during the maintenance period corresponded to the fronto-parietal control network components. According to the analysis of temporal dynamics of changes in BOLD signal intensity, the most prominent activation of the dorsolateral prefrontal cortex and parietal cortex was observed in the end of the encoding period, during the maintenance period and in the beginning of the retrieval period, which confirmed the role of those areas in the working memory processes. The maximum of occipital cortex activation was observed during encoding period. The study confirmed the functional role of the dorsolateral prefrontal cortex and posterior parietal cortex in the working memory mechanisms during all stages of the Sternberg task.
Potential Effect of β-casomorphin-7 on Lymphocyte and TLR\NF-κB Signaling Pathway in Intestinal Mucosa of Aged Mice

The effect of â-Casomorphin-7 on intestinal mucosal immunity was investigated in aged mice. Mice were treated without or with different doses of â-Casomorphin-7 for 30 days. All mice were sacrificed and intestinal mucosa samples collection at the end of the experiment. Histopathological studies showed the tissue protective role of â-Casomorphin-7 in aged mice. The number of duodenal and jejunal epithelial lymphocytes decreased significantly Pandlt;0.05 The doses of duodenal and jejunal epithelial lymphocytes in mice were significantly Pandlt;0.05 increased in each dose group. The relative expression of TLR4,TRAF6 and NF-êB in the intestinal mucosa of the elderly model group was lower than that of the young control group. The low and middle dose groups significantly Pandlt;0.05 up-regulated the relative expression of TLR4, TRAF6 and NF-êB. The results suggest that â-Casomorphin-7 can improved intestinal mucosal immune decline likely through balancing TLR4\NF-êB signaling pathway.
Pattern detection in large temporal graphs using algebraic fingerprints

In this paper, we study a family of pattern-detection problems in vertex-colored temporal graphs. In particular, given a vertex-colored temporal graph and a multi-set of colors as a query, we search for temporal paths in the graph that contain the colors speciﬁed in the query. These types of problems have several interesting applications, for example, recommending tours for tourists, or searching for abnormal behavior in a network of ﬁnancial transactions. For the family of pattern-detection problems we de-ﬁne, we establish complexity results and design an algebraic-algorithmic framework based on constrained multilinear sieving . We demonstrate that our solution can scale to massive graphs with up to hundred million edges, despite the problems being NP -hard. Our implementation, which is publicly available, exhibits practical edge-linear scalability and highly optimized. For example, in a real-world graph dataset with more than six million edges and a multi-set query with ten colors, we can extract an optimal solution in less than eight minutes on a haswell desktop with four cores.
The dark side of the industrialisation of accountancy: innovation, commoditization, colonization and competitiveness

ABSTRACT Technological innovation continues to play a fundamental role in disrupting many industries, but the impacts of digital innovation on accountancy and its effect on firms and individuals remain somewhat overlooked. Nevertheless, technological innovation is transforming accountancy work and business models as firms react to competition and regulatory restrictions. The analysis of sixty semi-structured interviews with UK accounting firms reveals how the adoption of new technology and alterations in regulations impacts on accounting practices. In turn, this research raises questions about the nature of professional occupations, the deskilling of accountancy and colonization of new service areas, challenging the extant conceptualisation of knowledge-intensive services.
Inhibition of Viral Macrodomain of COVID-19 and Human TRPM2 by losartan

Background: The SARS-CoV-2 virus is a new highly contagious Coronavirus with a positive-sense RNA encoding 16 non-structural proteins (nsps16, nsp15, nsp3). In this study, the coronavirus pathogenicity and the losartan functional ligand for inhibiting TRPM2 and macrodomain have been molecularly evaluated.Material and method: In this study, the structures of macrodomain binding ADP ribose in CoVs and human Transient Receptor Potential Cation Channel Subfamily M Member 2 (TRPM2) protein were downloaded from protein data bank. Then, a virtual screening was done to recognize the hit compounds from GalaXi_2019-10, KnowledgeSpace_2019-05, and REALspace_2019-12 databases. This collection, then, was imported to the ligandScout software, on the base of Adenosine Diphosphate Ribose (ADPR) pharmacophore model. Result: Among seven compounds, five compounds were finally evaluated as the structural analogs of ADPR or other nucleotides, from which one compound was a non-FDA-approved sulphonamide and was removed. The other compound, losartan, was finally selected for molecular docking and molecular dynamic simulation. According to the virtual screening and docking, losartan was candidate as an effective ligand for TRPM2 and macrodomain. Conclusion: In the current study losartan earned a proper dock score and binding affinity to create the complexes with TRPM2 and macrodomain. The inhibitory effect of losartan on PARP has been shown and it could interfere positively in several points (PARP, PARG- macrodomain and TRPM2) and decreases oxidative stress and apoptosis in COVID-19.
Degradation of Meropenem by Heterogeneous Photocatalysis Using TiO2/Fiberglass Substrates

Meropenem (MER), a carbapenem, is considered a last-resort antibiotic. Its presence in water bodies, together with other antibiotics, has brought about environmental problems related to the destruction of natural microorganisms and the development of antibiotic-resistant bacteria. Herein, the degradation of MER by heterogeneous photocatalysis using TiO2 immobilized on fiberglass substrates is reported. Morphological characterization of the substrates was performed by Scanning Electron Microscopy (SEM). Three pH values (4.0, 5.7, and 7.9) were tested for the treatment of MER solutions (100 mg/L). The best rate constants and MER removals were obtained at pH 4.0 (0.032 min−1; 83.79%) and 5.7 (0.032 min−1; 83.48%). Chemical Oxygen Demand (COD) and Total Organic Carbon (TOC) removals of 25.80% and 29.60% were achieved for the treatment at a pH value of 5.7. The reuse and regeneration of the plates were also tested. The activity of the substrates was maintained until the fourth cycle of reuse, nonetheless, a decrease in MER removal was observed for the 5th cycle. After the fourth cycle of reuse, the activity of the substrates was recovered by a regeneration procedure involving a wash stage of the substrates with a 1% H2O2 solution in an ultrasonic bath.
Identification and Characteristics of Factors Regulating Hepatocellular Carcinoma Progression and Metastasis: A Dissertation

Hepatocellular carcinoma (HCC) is a common malignancy of the liver that is one of the most frequent causes of cancerGrelated death in the world. Surgical resection and liver transplantation are the only curative options for HCC, and tumor invasion and metastasis render many patients ineligible for these treatments. Identification of the mechanisms that contribute to invasive and metastatic disease may enlighten therapeutic strategies for those not eligible for surgical treatments. In this dissertation, I describe two sets of experiments to elucidate mechanisms underlying HCC dissemination, involving the activities of KrüppelGlike factor 6 and a particular p53 point mutation, R172H. Gene expression profiling of migratory HCC subpopulations demonstrated reduced expression of KrüppelGlike factor 6 (KLF6) in invasive HCC cells. Knockdown of KLF6 in HCC cells increased cell transformation and migration. SingleGcopy deletion of Klf6 in a HCC mouse model results in increased tumor formation, increased metastasis to the lungs, and decreased survival, indicating that KLF6 suppresses both tumor formation and metastasis in HCC. To elucidate the mechanism of KLF6Gmediated tumor and metastasis suppression, we performed gene expression profiling and ChIPGsequencing to identify direct transcriptional targets of KLF6 in HCC cells. This analysis revealed novel transcriptional targets of KLF6 in HCC including CDC42EP3 and VAV3, both of which are positive regulators of Rho family GTPases. Concordantly, KLF6 knockdown cells demonstrate increased activity of the Rho family GTPases RAC1
Solar Rotational Oscillation and Its Subharmonics in Solar Wind Plasma Field, Geomagnetic, and Cosmic Ray Intensity Indicator in the Solar Cycle 24/25 Minimum

To study synodic period and its subharmonics, we have utilized hourly average data of solar wind plasma field, geomagnetic index, and galactic cosmic ray intensity along with 5 min average data of selected solar wind field parameters during the recent minimum of Solar Cycle 24. Wavelet analyses of hourly average data reveal 28.1, 13.1, and 6.8 day of sigma in interplanetary magnetic field; 27.1, 13.1, and 9.0 day of plasma speed; 27.1, 13.6, 3.9, and 2.2 day of interplanetary electric field; 27.1, 13.6, 3.8, and 2.2 day of southward component of magnetic field; 26.2, 13.6, 8.6, and 3.0 day of geomagnetic Ap index; and 28.1, 11.0, 9.3, 7.0, and 1.6 day periods of galactic cosmic ray intensity. In addition to these prominent short‐term periods, we have significantly observed 6.6, 3.3, and 1.7 day periods of sigma in interplanetary magnetic field (σB); 5.6, 4.2, and 2.2 day of electric field (Ey) and 5.6, 3.3, and 2.4 day of southward component of magnetic field (Bz) in the 5 min average data. During the recent solar minimum, we have observed one solar rotational period and its second, third, fourth, fifth, sixth, seventh, eighth, tenth, eleventh, and twelfth subharmonics. The observed subharmonics of solar rotational period make the current solar minimum very special and noteworthy to study.
The role of pax genes in vertebrate segmentation

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Plants in a boreal city: ecological characteristics of vegetation in Helsinki and its surroundings, southern Finland

The aim of the study was to analyse the variation of the urban vegetation in Helsinki and the neighbouring suburban city of Espoo in relation to land use, and to provide a classification of urban habitats. The study sites covered a gradient from the urban centre to suburban and recreational forests. The variation between urban and forested sites formed the most important compositional gradient of the vegetation. The second most important gradient was the gradation from shaded moist sites to dry and open ones within the urban areas. The samples were divided into nine vegetation classes, four of which were forest and five urban types. The division of the forests was determined by the fertility of the site, which was connected with human influence. The division of the urban sites was mainly determined by land use. The vegetation of the urban areas was more heterogeneous than that of the forest sites. The urban vegetation consisted predominantly of species groups which tolerate frequent dis turbance, e.g. annuals, grasses and species originally living beside water. Species originating from herb-rich forests were also common. We discuss the degree of urbanization of the vegetation of Helsinki and its surround ings.