Miracle-dz/UniFAR-FTUs huggingface dataset:
Contrasting effect of irrigation practices on the cotton rhizosphere microbiota and soil functionality in fields

Drip irrigation under plastic film mulch is a common agricultural practice used to conserve water. However, compared to traditional flood irrigation with film mulch, this practice limit cotton root development from early flowering stage and may cause premature senescence in cotton. Changes of root will consequently shape the composition and activity of rhizosphere microbial communities, however, the effect of this farming practice on cotton rhizosphere microbiota remains poorly understood. This study investigated rhizosphere bacteria and soil functionality in response to different irrigation practices —including how changes in rhizosphere bacterial diversity alter soil nutrient cycling. Drip irrigation under plastic film mulch was shown to enhance bacterial diversity by lowering the salinity and increasing the soil moisture. However, the reduced root biomass and soluble sugar content of roots decreased potential copiotrophic taxa, such as Bacteroidetes, Firmicutes, and Gamma-proteobacteria, and increased potential oligotrophic taxa, such as Actinobacteria, Acidobacteria, and Armatimonadetes. A core network module was strongly correlated with the functional potential of soil. This module not only contained most of the keystone taxa but also comprised taxa belonging to Planctomycetaceae, Gemmatimonadaceae, Nitrosomonadaceae, and Rhodospirillaceae that were positively associated with functional genes involved in nutrient cycling. Drip irrigation significantly decreased the richness of the core module and reduced the functional potential of soil in the rhizosphere. Overall, this study provides evidence that drip irrigation under plastic film mulch alters the core bacterial network module and suppresses soil nutrient cycling.
RFSgIndex: Frequent Subgraph Index for Subgraph Matching in RDF Data

Graphs are used to represent the relationships between objects in various domains such as bioinformatics, social networks, and Web exploration. With the rapid increase of RDF data, efficient graph data management technique is needed to store and retrieve these data. Indexing is an effective technique to reduce data searching space and retrieve them as fast as possible. In this paper, RDF frequent subgraph based approach (RFSgIndex) is proposed to find all the matches of a query graph (a SPARQL query) in a given single large graph (RDF data graph). Firstly, frequent sugraphs are extracted from the RDF data graph using Frequent Subgraph Mining algorithm. Given the query graph, the system finds all the possible occurrences of the query graph by using RFSgIndex. The proposed approach will reduce data searching space and speed up the query response time.
Ocular manifestations of central insulin resistance

Central insulin resistance, the diminished cellular sensitivity to insulin in the brain, has been implicated in diabetes mellitus, Alzheimer’s disease and other neurological disorders. However, whether and how central insulin resistance plays a role in the eye remains unclear. Here, we performed intracerebroventricular injection of S961, a potent and specific blocker of insulin receptor in adult Wistar rats to test if central insulin resistance leads to pathological changes in ocular structures. 80 mg of S961 was stereotaxically injected into the lateral ventricle of the experimental group twice at 7 days apart, whereas buffer solution was injected to the sham control group. Blood samples, intraocular pressure, trabecular meshwork morphology, ciliary body markers, retinal and optic nerve integrity, and whole genome expression patterns were then evaluated. While neither blood glucose nor serum insulin level was significantly altered in the experimental or control group, we found that injection of S961 but not buffer solution significantly increased intraocular pressure at 14 and 24 days after first injection, along with reduced porosity and aquaporin 4 expression in the trabecular meshwork, and increased tumor necrosis factor α and aquaporin 4 expression in the ciliary body. In the retina, cell density and insulin receptor expression decreased in the retinal ganglion cell layer upon S961 injection. Fundus photography revealed peripapillary atrophy with vascular dysregulation in the experimental group. These retinal changes were accompanied by upregulation of pro-inflammatory and pro-apoptotic genes, downregulation of anti-inflammatory, anti-apoptotic, and neurotrophic genes, as well as dysregulation of genes involved in insulin signaling. Optic nerve histology indicated microglial activation and changes in the expression of glial fibrillary acidic protein, tumor necrosis factor α, and aquaporin 4. Molecular pathway architecture of the retina revealed the three most significant pathways involved being inflammation/cell stress, insulin signaling, and extracellular matrix regulation relevant to neurodegeneration. There was also a multimodal crosstalk between insulin signaling derangement and inflammation-related genes. Taken together, our results indicate that blocking insulin receptor signaling in the central nervous system can lead to trabecular meshwork and ciliary body dysfunction, intraocular pressure elevation, as well as inflammation, glial activation, and apoptosis in the retina and optic nerve. Given that central insulin resistance may lead to neurodegenerative phenotype in the visual system, targeting insulin signaling may hold promise for vision disorders involving the retina and optic nerve.
THE COLLAPSE OF TURBULENT CORES AND RECONNECTION DIFFUSION

In order for a molecular cloud clump to form stars, some transport of magnetic flux is required from the denser internal regions to the outer regions; otherwise, this can prevent the gravitational collapse. Fast magnetic reconnection, which takes place in the presence of turbulence, can induce a process of reconnection diffusion that has been elaborated on in earlier theoretical works. We have named this process turbulent reconnection diffusion, or simply RD. This paper continues our numerical study of this process and its implications. In particular, we extend our studies of RD in cylindrical clouds and consider more realistic clouds with spherical gravitational potentials (from embedded stars); we also account for the effects of the gas self-gravity. We demonstrate that, within our setup reconnection, diffusion is efficient. We have also identified the conditions under which RD becomes strong enough to make an initially subcritical cloud clump supercritical and induce its collapse. Our results indicate that the formation of a supercritical core is regulated by a complex interplay between gravity, self-gravity, the magnetic field strength, and nearly transonic and trans-Alfvénic turbulence; therefore, it is very sensitive to the initial conditions of the system. In particular, self-gravity helps RD and, as a result, the magnetic field decoupling from the collapsing gas becomes more efficient compared with the case of an external gravitational field. Our simulations confirm that RD can transport magnetic flux from the core of collapsing clumps to the envelope, but only a few of them become nearly critical or supercritical sub-Alfvénic cores, which is consistent with the observations. Furthermore, we have found that the supercritical cores built up in our simulations develop a predominantly helical magnetic field geometry that is also consistent with recent observations. Finally, we have also evaluated the effective values of the turbulent RD coefficient in our simulations and found that they are much larger than the numerical diffusion coefficient, especially for initially trans-Alfvénic clouds, thus ensuring that the detected magnetic flux removal is due to the action of turbulent RD rather than numerical diffusivity.
BORON SYNTHESIS IN TYPE Ic SUPERNOVAE

We investigate the ν-process in an energetic Type Ic supernova (SN Ic) and the resultant productions of the light elements including boron and its stable isotopes. SN Ic is a very unique boron source because it can produce boron not only through spallation reactions as discussed in Nakamura & Shigeyama but also the ν-process. The ν-process is considered to occur in core-collapse supernovae and previous studies were limited to SNe II. Although the progenitor star of an SN Ic does not posses an He envelope so that 7Li production via the ν-process is unlikely, 11B can be produced in the C-rich layers. We demonstrate a hydrodynamic simulation of a SN Ic explosion and estimate the amounts of the light elements produced via the ν-process for the first time, and also the subsequent spallation reactions between the outermost layers of the compact SN Ic progenitor and the ambient medium. We find that the ν-process in the current SN Ic model produces a significant amount of 11B, which is diluted by 10B from spallation reactions to get closer to B isotopic ratios observed in meteorites. We also confirm that high-temperature μ and τ neutrinos and their anti-neutrinos, reasonably suggested from the compact structure of SN Ic progenitors, enhance the light-element production through the neutral current reactions, which may imply an important role of SNe Ic in the Galactic chemical evolution.
THE HYBRID CONe WD + He STAR SCENARIO FOR THE PROGENITORS OF TYPE Ia SUPERNOVAE

Hybrid CONe white dwarfs (WDs) have been suggested to be possible progenitors of type Ia supernovae (SNe Ia). In this Letter, we systematically studied the hybrid CONe WD + He star scenario for the progenitors of SNe Ia, in which a hybrid CONe WD increases its mass to the Chandrasekhar mass limit by accreting He-rich material from a non-degenerate He star. We obtained the SN Ia birthrates and delay times for this scenario using to a series of detailed binary population synthesis simulations. The SN Ia birthrates for this scenario are ∼0.033–0.539 × 10−3 yr−1, which roughly accounts for 1%–18% of all SNe Ia. The estimated delay times are ∼28 Myr–178 Myr, which makes these the youngest SNe Ia predicted by any progenitor model so far. We suggest that SNe Ia from this scenario may provide an alternative explanation for type Iax SNe. We also presented some properties of the donors at the point when the WDs reach the Chandrasekhar mass. These properties may be a good starting point for investigating the surviving companions of SNe Ia and for constraining the progenitor scenario studied in this work.
A Method for Multi-text Summarization Based on Multi-Objective Optimization use Imperialist Competitive Algorithm

In this research, we discuss the methods that have been proposed so far to solve automatic summarization, in which both single-text and multi-text are summarized with emphasis on experimental methods and text extraction techniques. In multi-text summarization, retrieving redundant information that is readable and coherent and contains maximum information from the original text and minimum redundancy has made research in this field very important. An extraction approach based on several methods for identifying sentence similarities and a meta-heuristic optimization algorithm that has been modified and optimized for faster convergence is presented. In this algorithm, changes are made based on density detection through the probability distribution function to avoid being placed in local optimization and try to search more extensively for the response space. The experimental results obtained from the implementation of the algorithm show that the efficiency on criteria such as ROUGE and the accuracy of the proposed method is effectively increased.
Isolation of entomopathogenic nematodes, Heterorhabditis bacteriophora from vegetable growing areas of Assam

A survey was conducted for prevalence of entomopathogenic nematodes in vegetable growing areas of the district Jorhat, Assam. A total of 200 soil samples were collected from rhizosphere region of different vegetable crops. Soil samples were baited using Galleria mellonella larvae for the presence of steinernematid and heterorhabditid nematodes. Among the soil samples collected, five samples were tested positive for heterorhabditid isolate. From the morphological and morphometrical examinations, the isolate was identified as Heterorhabditis bacteriophora .
CALM: Contention-Aware AcceLerator Architecture for Multi-Tenancy Execution

—Driven by the wide adoption of deep neural networks (DNNs) across many different application domains, multi-tenancy execution, where multiple DNNs are deployed simultaneously on the same hardware, has been proposed to satisfy the latency requirements of different applications while improving the overall system utilization. However, multi-tenancy execution could lead to undesired system-level resource contention, causing quality-of-service (QoS) degradation, especially for latency-critical applications. In addition, the interference caused by co-located workloads can be difficult to predict in advance due to complex SoC architectures and variable workload compositions. To address this challenge, we propose CALM, a light-weight, contention-aware multi-tenancy architecture for DNN accelerators. Unlike existing solutions that statically partition on-chip shared resources across applications, CALM dynamically manages the contentiousness of co-located applications to ensure the QoS target of the workloads. Specifically, CALM leverages the regularities in both DNN operators and accelerators to dynamically manipulate memory access rates based on their latency targets so that the co-located applications get the resources they currently demand without significantly starving their co-runners. We demonstrate that CALM can increase the service-level agreement (SLA) satisfaction rate up to 8 . 6 × ( 2 . 3 × overall) while decreasing the performance variation by up to 37 . 8 × ( 2 . 9 × overall). Our evaluation also shows that CALM is capable of improving both the system throughput by 1 . 11 × and fairness by 1 . 38 × while improving the performance variation by 8 × .
A Survey of Multi-Target Detection and Tracking Algorithms

Multi-target detection and tracking is the technical basis for vehicle behavior dialysis and identification [1]. The advantages and disadvantages of multi-target detection technology and multi-target tracking technology are described in this paper in recent years and researchers presented many methods in order to overcome their shortcomings. The performance of multi-target detection and tracking technologies are compared. Finally, the future development direction of these two technologies are discussed
Optimal Time-Of-Use Electricity Pricing Strategy Based On Game Theory for Multiple Users

: The requirement for electricity changes all over the day, maximizing the average cost of the power supply. In this paper Time of Use (TOU) electricity pricing is adopted as a pricing strategy for DSM and describes a game-theoretic approach to optimize TOU pricing strategies (GT-TOU). Cost models for the company utility and user utility are developed. Nash equilibrium is achieved between these utilities by using backward induction principle. Optimal pricing is estimated based on user responses. The proposed optimizing technique helps to maximize both the company utility and user utility. The characteristics of utility functions with respect to penalty factor are developed. The proposed work is modeled in the MATLAB environment.
The Third Micro-Expression Grand Challenge

In the part A of CAS(ME) database, there are 22 subjects and 98 long videos. The average duration is 148s. The facial movements are classified as macroand micro-expressions. The video samples may contain multiple macro or micro facial expressions. The onset, apex, offset index for these expressions are given in the excel file. In addition, the eye blinks are labeled with onset and offset time. To download the dataset, please visit:
Major Insect Pests and Diseases in Common Bean ( Phaseolus vulgaris L.) Production in Ethiopia

: Common bean ( Phaseolus vulgaris L.) production in Ethiopia is injured by several insect pest and diseases. The major insect pests which attack common bean in pre and post harvests are the bean maggot ( Ophiomyia phaseoli ), bruchids, Z. subfasciatus , C. maculates , ootheca ( Ootheca bennigseni ) and aphids ( Aphis fabae ). These pests affected yield and yield components of common bean through direct and indirect of the total production. Some insects like Aphid is used as the way of transmitting other diseases like mosaic virus from plant to plants, in addition to direct reducing common bean production. The second constraints of common bean production under biotic is diseases virulence of fungus, bacteria and viruses. The important diseases are angular leaf spot, anthracnose, rust, bacterial blight, and mosaic, halo blight and ascochyta blight causes significant yield losses. Completely free of pests production is very difficult in the world of agriculture, while reducing effects as level of under economic importances. Minimizing the losses caused from insect pests and diseases possible through several managements such as; cultural, biological, botanical, and chemical, and integration control methods developed. Further, to assure ecofriendly management techniques; integrated management, botanic and biological control are prioritized than chemical control methods. The main targets of current and future protection plan should be more balances to the natural system balancing than yield improvements. Thus, more encourages to control though ingratiation and economic friendly ways. Therefore, this review was revised the major common bean insect pests and diseases in the pre and post harvest, their hosts, biological and recommended management system were portrayed.
Molecular packing of non-fullerene acceptors for organic solar cells: Distinctive local morphology in Y6 vs. ITIC derivatives Materials Today Advances

Since a couple of years ago, Y6 has emerged as one of the main non-fullerene acceptors for organic solar cells, as its use leads to superior power conversion ef ﬁ ciencies. It is thus of major interest to investigate the multiscale phenomena that are responsible for Y6's ef ﬁ cacy. Here, we modeled neat ﬁ lms of Y6 and earlier non-fullerene acceptors, IT-4F and ITIC, using a combination of density functional theory calculations and molecular dynamics simulations, to investigate the various factors that control their charge and exciton transport rates. We ﬁ nd that the molecular packing in Y6 is drastically different from that in IT-4F and ITIC. At the nanoscale, the local morphology of Y6 consists of a large number of directional face- on stackings and well-connected transport networks. Y6 also consistently shows higher electronic couplings for LUMOs, HOMOs, and local excitations than ITIC-type acceptors, which results in fast transport rates for electrons, holes, and excitons. Importantly, when considering dimers, their con ﬁ gurations in Y6 are more diverse than in ITIC-type acceptors, with many of those similar to the con ﬁ gu- rations observed in the Y6 crystal structure reported recently. Most Y6 dimer con ﬁ gurations exhibit strong binding interactions, large electronic couplings, and high transport rates, which when taken together rationalize the better performance of OSCs based on Y6.
Information Economy: Institutions and Model of Functioning

: New institutions of the information economy, that coordinate the interaction of state institutions, business and individuals, the state policy of development of organizational and information infrastructure of modern economy were identified; foreign and domestic experience in the development of elements of the institutional structure of the information economy were presented, an author's model of institutional relationships between subsystems of the information economy was developed, the assessment of the economic efficiency of the information economy from the point of view of reducing the value of information and transaction costs was proposed, the relationship between modern information innovations and low transaction costs, their impact on competitiveness at micro-, and macro-levels is considered, promising financial instruments of the information economy, modern trends in the development of payment systems in Russia and Belarus are presented.
The Effect of Interscalene Brachial Plexus Block with a Single-dose Intra-articular Local Anesthetic on Postoperative Pain

Aim: Postoperative pain management is important because shoulder surgery causes severe pain. In this present study our aim was to analyse the comparison of the influences of ultrasonography-guided interscalene block and perioperative intra-articular local anesthetic injection on postoperative pain in cases who will undergo arthroscopic shoulder procedure. Material and Method: It was planned as a prospective randomized controlled trial. After the confirmation of the local ethical committee, our cases were randomly divided into two groups and one group (Group ISBPB) was administered general anesthesia after ultrasonography guided interscalene block. In the other group (Group LA), surgical procedure was carried out under general anesthesia and a single dose of intra-articular local anesthetic was administered peroperatively. Postoperative analgesia requirement, time, VAS scores, patient and surgeon satisfaction were registered. Results: We could not obtain a statistically significance between group LA and group ISBPB groups according to gender, side, comorbidity, additional procedure and age variables in the participants included in the study (p>0.05). A numerically significance was observed between Group LA and Group ISBPB groups in terms of first analgesia requirement and patient satisfaction variables in the participants included in the study (p<0.05). Conclusions: We observed that the application of interscalene block considerably decreased the requirement for postoperative analgesia compared to the application of intra-articular single dose local anesthetic. Concerns about the possibility of reducing the complications that may occur with ultrasound-guided interscalene block application and the possibility of chondrolysis with a single dose of intra-articular local anesthetic bring interscalene block to the fore.