Miracle-dz/UniFAR-FTUs huggingface dataset:
Potential Role of Arbuscular Mycorrizhal Fungi (AMF) and Vermicompost (VC) on the Maturation of Agriculture Crops - A Review

| Agriculture is the method of plant interaction with microorganisms. There is a growing need for an eco-friendly, eco-responsive system in agriculture that can provide adequate nutrients to the growing human population by improving the quality and quantity of agricultural manufacture. Plant Growth-Promoting Microorganisms (PGPMs) have the potential to inhibit the rhizosphere and are at the center of microbial inoculations to regulate risk of rooting. The decomposition of organic matter by earthworms by vermicompost (VC) is known as cheap and environmentally friendly process. It is a substantial provenance of essential nutrients, which bounce back the overall soil condition and stimulate the yield and development of plants that enhance the physical and chemical properties of the soil. For this vindication the blear of this review is on the momentary of soil symbiotic fungi like Arbuscular Mycorrhizal Fungi (AMF) and Vermicompost (VC), and their precious repercussions on plant maturation. An extensive outline of profuse details of the conservation process is of extraordinary consequence for crops maturation in cultivations.
Semi-quantitative characterisation of mixed pollen samples using MinION sequencing and Reverse Metagenomics (RevMet)

1. The ability to identify and quantify the constituent plant species that make up a mixed-species sample of pollen has important applications in ecology, conservation, and agriculture. Recently, metabarcoding protocols have been developed for pollen that can identify constituent plant species, but there are strong reasons to doubt that metabarcoding can accurately quantify their relative abundances. A PCR-free, shotgun metagenomics approach has greater potential for accurately quantifying species relative abundances, but applying metagenomics to eukaryotes is challenging due to low numbers of reference genomes. 2. We have developed a pipeline, RevMet (Reverse Metagenomics), that allows reliable and semi-quantitative characterization of the species composition of mixed-species eukaryote samples, such as bee-collected pollen, without requiring reference genomes. Instead, reference species are represented only by ‘genome skims’: low-cost, low-coverage, short-read sequence datasets. The skims are mapped to individual long reads sequenced from mixed-species samples using the MinION, a portable nanopore sequencing device, and each long read is uniquely assigned to a plant species. 3. We genome-skimmed 49 wild UK plant species, validated our pipeline with mock DNA mixtures of known composition, and then applied RevMet to pollen loads collected from wild bees. We demonstrate that RevMet can identify plant species present in mixed-species samples at proportions of DNA ≥1%, with few false positives and false negatives, and reliably differentiate species represented by high versus low amounts of DNA in a sample. 4. The RevMet pipeline could readily be adapted to generate semi-quantitative datasets for a wide range of mixed eukaryote samples, which could include characterising diets, quantifying allergenic pollen from air samples, quantifying soil fauna, and identifying the compositions of algal and diatom communities. Our per-sample costs were £90 per genome skim and £60 per pollen sample, and new versions of sequencers available now will further reduce these costs.
An Actionable Orchestration Dashboard to Enhance Collaboration in the Classroom

The orchestration of collaborative learning activities in technology-enhanced classrooms has become a nontrivial endeavor for educators. Depending on the behaviors and needs of students that emerge in real educational situations, educators may need to orchestrate activity adaptations on the fly. These adaptations may range from the provision of additional scaffolding by the educator (e.g., the educator's participation in a group discussion) to a change in the planned pedagogical scenario (e.g., the duration). This article aims to contribute to the orchestration of technology-mediated collaborative learning sessions in a classroom context. We present the design, implementation, and evaluation of a teacher-facing dashboard that supports teachers in orchestrating scripted collaboration. Evaluation studies were conducted in 16 classroom sessions. The findings indicate that teachers found the information on the dashboard to be actionable and help facilitate just in time support to student groups.
Impact of digital media on the self care skills of diabetic patients

Diabetes is a lifestyle disorder that needs a combination of medication, diet and exercise for effective glycemic control and to minimize the long term complications associated with the disease. This can be possible through education, which provides the opportunity to develop necessary skills to be self –reliant. Education through digital media would be effective due to its fast reach to all kinds of patients. With this, intention the present paper aimed to assess the impact of digital media on the self care skills of the diabetic patients. Two hundred respondents suffering from type2 diabetes from Guntur district of Andhra Pradesh were selected based on a simple random sampling method. A total of 90 text and 30 voice messages and 8 animated modules were disseminated for two months as a part of digital media education and assessed the post intervention changes in the self care skills of the respondents with a time gap of two months. The major findings of the study revealed that there was a significant improvement among the overall skills of the respondents in all the three areas of information. The improvement in clinical skills was found to be higher with a percent increase of 22.91% compared to the nutrition and management skills (19.08%, 9.85%) respectively. Thus, delivery of SMS mobile- based interventions and animation modules has bridged an effective communication channel to endeavor behavioral change, enhance disease specific self care skills and subsequently improve health outcomes.
A bibliometric evaluation and analysis on the maturity of scientific research trends on novel coronavirus (COVID-19)

The COVID-19 pandemic has been declared as major threat to human beings across worldwide concern This outbreak is standing as a public health emergency problem in front of Research and Development (R and D) The bibliometric evaluation assists to quantitatively explore the scientific works and redirection of research trends on COVID-19 To support the R and D activities, various reputed publishers have already made the scientific literature related to coronavirus (CoV) as open access to all researchers The main objective in this article is out to extract the most productive authors, corresponding author 's country, total citations per country, relevant sources, growth of publication citations, and frequent author keyword occurrence on CoV research Alternate abstract:The bibliometric study has covered the scientific research trends on novel coronavirus from January to June 2020 using Web of Science (WoS), PubMed, and Dimensions database The searching strategies and dataset pre-processing tasks have also been performed to improve the quality of the dataset We have used the bibliometrix R-package and VOS viewer as bibliometric analysis tools We have a bibliometric evaluation of the 18,270 documents that met our inclusion criteria China has contributed to a large number of research publications and BMJ-British Medical Journal gained as most relevant source on CoV
Chance-Constrained Optimal Power Flow of Integrated Transmission and Distribution Networks With Limited Information Interaction

Considering the separate management of transmission networks (TNs) and distribution networks (DNs), this article proposes a chance-constrained optimal power flow (CCOPF) formulation for integrated transmission and distribution (I-T&D) networks and its solution algorithm with limited information interaction. The uncertainties of loads and renewable generations are considered in the formulation, which guarantees that generations, power flows, and voltage magnitudes in both TNs and DNs remain within their bounds with a predefined probability. A double-iterative solution algorithm is proposed to solve CCOPF, of which the inner-iteration is applied to solve a deterministic OPF of I-T&D networks while the outer-iteration is to repeatedly update uncertain margins around a forecasted solution to converge finally. Particularly, the heterogeneous decomposition algorithm is applied to solve the deterministic OPF, and an I-T&D-power-flow-based two-point estimation method is proposed to calculate uncertainty margins. The overall solution algorithm is realized based on boundary information exchange between TNs and DNs, where the data and model privacy of TNs and DNs are well-preserved. Numerical experiments demonstrate the accuracy and efficiency of the proposed solution algorithm.
A Cryo-CMOS Voltage Reference in 28-nm FDSOI

The control interface of a large-scale quantum computer will likely require electronic subsystems that operate in close proximity to the qubits, at deep cryogenic temperatures. In this letter, we report low-temperature performance of a custom cryo-CMOS voltage reference circuit fabricated in a 28-nm fully depleted silicon on insulator (FDSOI) CMOS process, dissipating about 15 $\mu \text{W}$ . This MOS-only reference circuit is functional from room temperature down to liquid helium temperature (4 K), showing a temperature coefficient of 0.6 mV/K. The measured supply sensitivity of our reference circuit is better than −50 dB at 4 K temperature. Beyond the specific application as low-power reference, this circuit is an ideal test-vehicle for developing design approaches that mitigate the adverse effects of cryogenic temperatures on circuit performance.
An improvement of radial basis function neural network architecture based on metaheuristic algorithms

In this study, the performance of radial basis function neural networks (RBFNNs) architecture was examined. Firefly algorithm (FFA) and prey-predator algorithm (PPA) are metaheuristic algorithms with high-level strategies. These algorithms are used for the training of RBFNNs. Two and twelve the hidden neurons with ten different classification data sets are used to test RBFNNs architecture. To evaluate the performance and effectiveness of algorithms, the Schwarz Bayesian criterion (SBC) and the error functions are utilized. The simulation results revealed that the algorithms are appropriate to use in learning ANNs.
Energy-Efficient Joint User Association and Power Allocation in a Heterogeneous Network

Heterogeneous networks provide flexible deployments for operators to improve spectrum efficiency and increase coverage. However, driven by new generation wireless devices, the exponential increase of data traffic has triggered new challenges of wireless networks to meet the green communications requirement. Therefore, energy-efficient design has emerged as a promising technique in heterogeneous networks. In this paper, we investigate the energy efficiency maximization problem for downlink transmissions by jointly considering user association and power allocation in a two-tier heterogeneous network with multiple small cells. We first consider a system model without the co-channel interference between small cells. The energy efficiency maximization problem is formulated under certain prescribed quality-of-service requirement and maximum power limit constraint. The original optimization problem is non-convex and NP-hard, and it involves integer programming. We first relax the formulate problem into a continuous one and decouple it into user association and power allocation subproblems. A gradient-based algorithm is used to solve the power allocation problem. Then, an iterative joint user association and power allocation algorithm is proposed to achieve the maximum energy efficiency. Moreover, we consider a more sophisticated system with the limited bandwidth resource, in which multiple small base stations require to share the same frequency band to serve users, and the co-channel interference is introduced. Inspired by the original Dinkelbach method, we use a lower bound approximation and the Lagrangian approach to derive a closed-form expression of power allocation, which reduces the computational complexity. Simulation results show that the proposed algorithms have improved energy efficiency when compared with other the existing schemes.
Caractérisation fonctionnelle de petites protéines sécrétées chez les champignons lignolytiques

Durant ces dernieres decennies, les systemes enzymatiques de degradation du bois secretes par les champignons ont fait l’objet de nombreuses etudes aboutissant a la caracterisation fonctionnelle et biochimique des enzymes extracellulaires majeures agissant directement sur le polymere. Cependant, les systemes annexes associes au processus de degradation n’ont a l’heure actuelle ete que peu etudies. En particulier, les systemes de detoxication et de reponses des champignons au stress genere par le processus de degradation ainsi que les mecanismes lui permettant de croitre dans cet environnement hostile sont encore peu connus. Ce stress est majoritairement du a la presence de radicaux et d’extractibles. Les extractibles sont des molecules issues du metabolisme secondaire de l’arbre qui sont synthetises pour augmenter la durabilite du bois face aux attaques biotiques et abiotiques. Une analyse transcriptomique realisee au laboratoire a mis en evidence la surexpression de genes codant des petites proteines secretees (SSP) chez Phanerochaete chrysosporium lors d’une culture en presence d’extractibles de chene. La fonction de ce type de proteines chez les champignons lignolytiques est inconnue. Mon projet de these a porte sur la caracterisation d’une de ces SSP (SSP1). Les resultats obtenus ont revele des proprietes biochimiques atypiques pour cette proteine qui est capable de former une structure fibrillaire, notamment grâce a la presence d’un domaine C-terminal riche en alanine et glycine. De plus, nous avons pu montrer que cette proteine presentait une activite β-glucuronidase in vitro, qui est dependante de son etat d’oligomerisation. Une approche physiologique a egalement ete abordee grâce a l’obtention de mutants knock-out de SSP de Podospora anserina. La caracterisation de ces mutants a montre un defaut de croissance en condition de stress oxydant et en presence de molecules perturbant l’integrite de la paroi cellulaire. Enfin, une analyse in silico des orthologues de SSP1 a montre la presence de ce gene dans les genomes d’organismes saprophytes, ectomycorhiziens ou pathogenes suggerant un role indirect de cette proteine dans les processus de degradation du bois, probablement en lien avec la gestion du stress associe
Finite-Time Synchronization of Impulsive Dynamical Networks With Strong Nonlinearity

Finite-time synchronization (FTS) of dynamical networks has received much attention in recent years, as it has fast convergence rate and good robustness. Most existing results rely heavily on some global condition such as the Lipschitz condition, which has limitations in describing the strong nonlinearity of most real systems. Dealing with strong nonlinearity in the field of FTS is still a challenging problem. In this article, the FTS problem of impulsive dynamical networks with general nonlinearity (especially strong nonlinearity) is considered. In virtue of the concept of nonlinearity strength that quantizes the network nonlinearity, local FTS criteria are established, where the range of the admissible initial values and the settling time are solved. For the networks with weak nonlinearity, global FTS criteria that unify synchronizing, inactive, and desynchronizing impulses are derived. Differing from most existing studies on FTS, the node system here does not have to satisfy the global Lipschitz condition, therefore covering more situations that are practical. Finally, numerical examples are provided to demonstrate our theoretical results.
Fluorescence study of Sol-Gel derived protein silica hybrids for optical biosensor

The encapsulation of enzymes for optically addressed biosensor applications is an area of great importance. Firstly there is a need to provide a robust, optical quality host in which to incorporate the biomolecule. In principle the host matrix should be “inert” (with minimum interaction with the guest enzyme), protective and should retain the enzyme within its structure, allowing maximum catalytic activity and free passage of the reactants both to and from the enzyme. Materials which are promising in this respect are silica glasses made via the sol-gel technique. They are optically transparent, have a high porosity and they template around the biomolecule providing a protective host. However, the encapsulation process can have adverse effects; the loss of enzymatic catalytic activity can happen and the mass transport through the host is not ideal! In this work fluorescence techniques were used to monitor the incorporation of an enzyme into a sol-gel derived medium. Several additives were used in tuning the original sol-gel recipe to improve biocompatibility. Complementary measurements of catalytic activity were performed to elucidate the behaviour of the encapsulated protein. Molecular diffusion was monitored using labelled proteins and unbound fluorescence dye molecules (representative of enzyme substrates) and their interaction with and mobility within the host assessed using time-resolved fluorescence anisotropy and fluorescence recovery after photobleaching observed via confocal microscopy. Viscosity (DASPMI) and polarity (Nile red) sensitive fluorescence probes were employed to monitor the host matrices. Nile red was also used to label two catalytic proteins (cytochrome c and subtilisin Carlsberg), which were incorporated into different host media and the dye used to ascertain changes in protein conformation. Overall it was found that the hosts became stable after an aging period approaching twenty days and that the major influence on the catalytic reaction rates is that of host mediated mass transport.
Creating Human-Centered Systems to Address Racial Disparity in Schools

This article explores how school leaders can strategically organize to create humanist systems within their schools to effectively counter the racial bigotry and systemic oppression that has existed since the founding of this country but has gained more attention in the current political climate. Many school leaders are trained to operate as a superhero—where one person makes the right decision and saves the day. Racial equity challenges us to think beyond an individualistic approach and operate in a collaborative way that recognizes and supports all the individuals within that school community including staff, families, and students.
Relationship between Residual Feed Intake and Production Traits in a Population of F2 Ducks

Improving feed efficiency is important for decreasing feed cost in poultry production, because feed account for approximately 70% of the total production costs. The selection of feed efficiency may affect other important economic traits. Therefore, the objectives of this present study was to evaluate the relationships of the residual feed intake (RFI) with live body weight, carcass weight, carcass composition, and size of small intestines in a population of F2 Pekin ducks. Nine-hundred and eighty F2 ducks were derived from a cross between 40 Pekin ducks and 10 Mallard ducks. The results showed no significant correlation of RFI with live body weight and eviscerated carcass weight. RFI had negative effects on breast meat weight and gizzard weight. A positive correlation of RFI with abdominal fat weight, skin weight, and jejunum length was detected. Our results indicated that the selection of RFI could improve the feed efficiency of ducks without affecting their carcass compositions.
On Postprocessing Reduction of Phase Noise in FMCW Radars

Detection using continuous wave (CW) is inherently prone to undesired fluctuations in the phase of the transmitted (Tx) wave and hence is highly vulnerable to phase noise (PN). Along with hardware-based solutions, there are several software-based techniques to alleviate the PN in frequency-modulated CW (FMCW) detection systems. These methods generally employ a parallel transmit/receive channel, using a delay-line, to instantaneously extract the PN of the Tx wave and next, they propose a PN removal method to eliminate its impacts on the received FMCW beat signal. In this article, we introduce a general noise removal approach based on determination and resolution of the PN inverse problem. Thereafter, we propose a method to adapt this approach to the FMCW PN problem. Subsequently, a systematic comparison between the existing methods and the introduced one is made. It is pointed out that the inverse method does not rely on short-range (SR) approximations and therefore, its applicability is extendable to medium-range (MR) and long-range (LR) radars. At the end, the capability of the proposed approach compared with the existing ones—which are mainly based on SR approximations—is assessed in a field experiment.
Biochemical characterization of somatic embryogenesis and genetic transformation studies in Terminalia chebula Retz.: An immensely valuable medicinal tree

The present communication reports a study involving Terminalia chebula Retz. , with the elucidation of biochemical changes that occur during somatic embryogenesis and genetic transformation promise in this important slow growing valuable medicinal tree. T. chebula is an economically important plant, used in ayurvedic, unani medicine, and raw material for tanning industry. Callus induction, growth and somatic embryogenesis induction process was exploited for biochemical and genetic transformation studies in T. chebula. Biochemical analysis of proteins associated with somatic embryogenesis was studied and compared with mature zygotic embryo specific proteins using SDS-PAGE. SDS-PAGE protein profile analysis revealed precise association of proteins such as 21, 24, 30, 42, 52, and 85 kDs with induction of somatic embryogenesis compared to their absence in non-embryogenic callus. Some proteins such as 16, 22, 25, 29, 31, 55, 68, 80, 125 kDs were common both in non-embryogenic callus and embryogenic callus across different developmental stages. A comparative study of embryo specific proteins in somatic embryos and zygotic embryos also revealed that the proteins such as 21, 24, 30, 42, 52, 85 kDs were specific to somatic embryos, but absent in zygotic embryos. Further, additional numbers of protein bands such as 16, 22, 36, 40, 55, 68, 70 kDs expressed both in non-embryogenic and embryogenic callus, respectively; when compared to zygotic embryos. Genetic transformation was carried out using Agrobacterium tumefaciens strain LBA 4404 containing super binary vector pTOK 233. Amongst the explants evaluated, acetosyringone pretreated embryogenic callus dipped in PIM II bacterial suspension was found to be suitable for co-cultivation with A. tumefaciens and genetic transformation. The highest transformation frequency (5.20 ± 1.45 hygromycin resistant calli, 4.44 ± 1.76 GUS expression) was obtained with 100 μM acetosyringone pretreated embryogenic calli. Present study presents a detailed biochemical assessment of somatic embryogenesis and positives on genetic transformation in T. chebula using embryogenic callus culture system.