Miracle-dz/UniFAR-FTUs huggingface dataset:
Aprendizagem de Máquina na identificação de regiões codantes em sequências de DNA de fungos filamentosos

The task of identifying intron and exon regions in genes is a verycomplex task, and it is necessary to identify certain nucleotidepatterns in the gene sequence. This task can be done manually orthrough software that most often uses genetic alignment techniques, which is not a very effective way for this purpose. In this oppor-tunity for collaboration between biology and computer science using machine learning techniques, the objective was to predictthe intron and exon regions in filamentous fungi genes as well totranslate the identified regions intro proteic codons. In this paper,the problem was modeled as a supervised learning problem, basedon training a set of genes obtained from GenBank that alreadyhave the intron and exon regions identified. The machine learningmodel used in this work was the Condicional Random Fields (CRF). Through the values resulting from the metrics applied to the model,it can be seen that it is possible to achieve a good precision in thetask of identifying the intron and exon regions as well the proteiccodons. Thus, although there is a need for a greater diversity ofdatabase characteristics to support the effectiveness of identifyingthe splicing sites, this paper gives evidence that it is possible topredict these splicing sites with a good accuracy.
Design and Performance Analysis of Low Power 6T SRAM Using

Memories are integral parts of most of the digital devices and hence reducing power consumption of memory is very important in improving the system performance, efficiency and stability. The requirement in present scenario is low power devices. Since these are critical component in high performanceprocessors. Keeping this point in view, this paper proposes on 6T CMOS SRAM. The Proposed and conventional 16-bit SRAM has been designed and simulated for 180nm, 100nm and 90nm CMOS technologies. The 16-bit memory is organized in 4 x 4 forms (i.e. 4 rows and 4 columns). The whole circuit verification is done on the Tanner tool, Schematic of the SRAM cell is designed on the S-Edit and net list simulation done by using T-spice and waveforms are analyzed through the W-edit. An asymmetric configuration has been implemented to reduce this leakage power. 6T SRAM cell is the best asymmetric configuration used as caches.
A Metal Chaperone Gene Regulates Rice Growth and Seed Development by Manganese Acquisition and Homeostasis

Manganese (Mn) is a mineral element essential for plant growth and development. In agronomy reality, Mn deficiency or overload in crops disturbs metal homeostasis, photosynthesis, and many other biological processes. Mining genetic resources linking Mn acquisition and homeostasis is vitally important to help understand plant adaptation to Mn stress and breeding genetically improved crops for sustainable agriculture. Metallic chaperone (metallochaperone) is a class of family proteins playing an essential role in positive responses to metal and abiotic stresses. Here, we report a novel function of a metal chaperone gene OsHIPP56 in regulating Mn accumulation in rice (Oryza sativa) crops. OsHIPP56 was transcriptionally induced by excessive Mn stress but hardly by Mn deficiency. OsHIPP56-expression in a yeast Mn-sensitive mutant pmr1 rescued the Mn-defective phenotype by increasing Mn accumulation in cells. Knocking out OsHIPP56 by Crispr/cas9 protocol did not affect the growth and physiological responses of rice seedlings supplied with normal Mn concentration. However, excess Mn stress moderately retarded growth of the knockout plants compared with the wild-type. A life span field trial was conducted under natural conditions with the two rice varieties. Knocking out OsHIPP56 also distorted rice growth, leading to reduced plant height, stem elongation, panicle length, spikelet fertility, seed size, and grain yield. Mn concentrations in rice straw (leaves and stem/internodes), brown rice, and husk in cas9 plants were much lower than those in wild-type. This was particularly seen in the brown rice where the Mn concentrations in cas9 plants were reduced by 26.7–49.1% compared with the wild-type control. Overall, these lines of evidence point out that OsHIPP56 plays a primary role required for rice growth, seed development, and Mn acquisition.
Antifungal Potential of Bacillus velezensis CE 100 for the Control of Different Colletotrichum Species through Isolation of Active Dipeptide, Cyclo-(D-phenylalanyl-D-prolyl)

Colletotrichum species are important fungal pathogens causing anthracnose of tropical and subtropical fruit and vegetable crops. Dual culture assay indicated that Bacillus velezensis CE 100 was a strong antagonist against C. acutatum, C. coccodes, C. dematium, and C. gloeosporioides. The volatile organic compounds produced by B. velezensis CE 100 affected mycelial growth of Colletotrichum species tested in our study and caused twisted hyphal structures of all these fungal species. Chloroform crude compounds of B. velezensis CE 100 inhibited four Colletotrichum species in a concentration-dependent manner and induced severe damage in hyphal morphology of these fungal pathogens, including swelling, bulging, and multiple branching. Moreover, the active cyclic dipeptide, cyclo-(D-phenylalanyl-D-prolyl), was isolated from chloroform crude extract and identified by nuclear magnetic resonance (NMR) and mass spectrometry. The inhibitory effect of cyclo-(D-phenylalanyl-D-prolyl) on conidial germination of C. gloeosporioides occurred in a concentration-dependent manner. The conidial germination rate was completely inhibited by a concentration of 3 mg/mL of cyclo-(D-phenylalanyl-D-prolyl). Scanning electron micrographs revealed that the exposure to cyclic dipeptide resulted in seriously deformed hyphae and conidia with shriveled surfaces in dipeptide-treated C. gloeosporioides. Therefore, active dipeptide-producing B. velezensis CE 100 is a promising biocontrol agent for Colletotrichum species causing anthracnose.
Determination of the input filter parameters of the active rectifier with a fixed modulation frequency

Goal. Development of a methodology for calculating the parameters of the active rectifier-voltage source input filter operating with a fixed modulation frequency to ensure electromagnetic compatibility with the supply network acceptable by standards at minimum values of the input inductance and checking its main characteristics on a mathematical model. Methodology. The authors have developed a methodology for calculating the parameters of the input filter of an active rectifier-voltage source. The calculation results are verified on the constructed mathematical model of a frequency converter, the scheme of which is an active rectifier and an autonomous voltage inverter. A series of experiments was carried out on a mathematical model to study the dependence of the total harmonic distortion of current and mains voltage on the value of the input inductance for various parameters of the input filter. Results. The structure and calculation procedure the input filter of an active rectifier operating with a fixed modulation frequency are proposed. The simulation results showed that the inclusion of a filter at the input of the active rectifier significantly improves its electromagnetic compatibility with the supply network in the entire range of variation of the input inductance of the circuit and makes it possible to achieve the values of the total harmonic distortion permissible by the norms. Originality. A structure and a calculation procedure the input filter of an active rectifier-voltage source operating with a fixed modulation frequency are proposed. Practical significance. The dependencies obtained in the article allow us to evaluate the relationship between the parameters of the filter elements and its characteristics among themselves and come to a compromise between them when designing a scheme for specific technical conditions.
Clinical Efficacy of Dienogest versus Levonorgestrel-Releasing Intrauterine System for Adenomyosis

Objective The aim of this study is to evaluate the efficacy of dienogest versus levonorgestrel-releasing intrauterine system (LNG-IUS) for the treatment of adenomyosis. Methods In this retrospective study, 85 patients with adenomyosis treated in The First Affiliated Hospital of Zhengzhou University from May 2019 to May 2021 were recruited and assigned, via the random number table method at a ratio of 1 : 1, to receive either dienogest (observation group, n = 41) or LNG-IUS (control group, n = 44). The patients presented with dysmenorrhea, menorrhagia, and infertility. The treatment outcome was evaluated using visual analogue scale (VAS) scores, menstrual volume, uterine volume, endometrial thickness, and adverse reactions. Results After treatment, the VAS score, menstrual volume, and endometrial thickness were significantly decreased in both groups (P < 0.05). After 3, 6, and 12 months of treatment, patients receiving dienogest showed significantly lower VAS scores compared to those treated with LNG-IUS (P < 0.05). After 6 and 12 months of treatment, patients receiving dienogest were also found to have a significantly better control of menstrual volume compared to those receiving LNG-IUS (P < 0.05). Irregular vaginal bleeding was mainly seen in the first 3 months of treatment with dienogest. The incidence of irregular vaginal bleeding lasting more than 6 months was lower with LNG-IUS treatment than with dienogest (P < 0.05), and it decreased in both groups as the duration of treatment increased. Conclusion Dienogest effectively alleviates dysmenorrhea, relieves pelvic pain, dyspareunia, and reduces menstrual flow in patients with adenomyosis, with few adverse effects and a high safety profile.
Constructing a Secure Data Storage System That Supports Multiple Functions by Using Key Aggregation for Data Sharing in Cloud Storage: A Review

The old method used for examining data correctness is to recover the entire data from the cloud and then validate data reliability by scrutinizing the correctness of signatures or numeric values of the data as a whole. In modern cryptology, an essential problem to study here is to maintain the greatest benefit of the privacy of given information to perform multiple encryptions. The study shows how a decryption key is made stronger in the sense that it enables several ciphertexts to be decrypted without increasing their size. The statement of the problem lies in the fact that creating an effective public-key encryption system that supports flexible delegation is decipherable by a fixed-size decryption key that could be produced by the holder of the master-secret key. The solution to this problem is by presenting a definite type of public-key encryption known as key-aggregate cryptosystem (KAC). By using this method, users who hold master-secret key could convert a message through a public-key, and an identifier of ciphertext called “class”. This means that the ciphertexts could be further categorized into various classes. The main objective of this paper is to design a secure data storage system that provides multiple stimulating functions by which the storage system is divided and has no major authority.
A new strategy based on hybrid battery–wind power system for wind power dispatching

Battery energy storage system (BESS) is one of the best solutions to compensate the wind power fluctuations and forecasting errors for participation in the power markets by contribution in the energy production several hours ahead. Based on coordination of BESS and wind power, this study aims to present a new strategy to optimise the BESS size and increase the battery lifetime. In the proposed strategy, the average wind power is considered as the dispatch power to minimise the battery capacity and two back up battery sets are utilised to avoid shallow charge-discharge cycles for saving the battery efficiency and lifetime. In addition, the short-term operation criterion is chosen to deal with the prediction error effects. The proposed method is applied to a 2 MW wind turbine as a case study with 2 years wind data. Simulation results show the effectiveness of the proposed strategy.
Shared-Memory Parallel Algorithms for Fully Dynamic Maintenance of 2-Connected Components

Finding the biconnected components of a graph has a large number of applications in many other graph problems including planarity testing, computing the centrality metrics, finding the (weighted) vertex cover, coloring, and the like. Recent years saw the design of efficient algorithms for this problem across sequential and parallel computational models. However, current algorithms do not work in the setting where the underlying graph changes over time in a dynamic manner via the insertion or deletion of edges. Dynamic algorithms in the sequential setting that obtain the biconnected components of a graph upon insertion or deletion of a single edge are known from over two decades ago. Parallel algorithms for this problem are not heavily studied. In this paper, we design shared-memory parallel algorithms that obtain the biconnected components of a graph subsequent to the insertion or deletion of a batch of edges. Our algorithms hence will be capable of exploiting the parallelism adduced due to a batch of updates. We implement our algorithms on an AMD EPYC 7742 CPU having 128 cores. Our experiments on a collection of 10 real-world graphs from multiple classes indicate that our algorithms outperform parallel state-of-the-art static algorithms.11The implementation and an extended version of this paper is at [5].
Comparison performance of coagulation flocculation process and combination with ozonation process of stabilized landfill leachate treatment

Landfill leachate is well known as a hazardous byproduct from dumpling sites that has a negative impact on the environment and human life. Therefore, an effective treatment is imperative to overcome this issue. This research study investigates the effectiveness of zirconium tetrachloride (ZrCl4) and tin tetrachloride (SnCl4) as a coagulant in leachate treatment. Two parameters selected as a performance indicator in this study are color and chemical oxygen demand (COD). The data obtained showed that SnCl4 performed well as a coagulant with removal percentages of color and COD, which are 97% and 77%, respectively. Furthermore, the potential of integrated treatment using ozonation (O3) and the coagulation‐flocculation process was also investigated. Four sequences of integrated treatment setup for this study were ozonation followed by jar test (ZrCl4 as a coagulant), ozonation followed by jar test (SnCl4 as a coagulant), jar test (ZrCl4 as a coagulant) followed by the ozonation process, and jar test (SnCl4 as a coagulant) followed by the ozonation process. The experimental data showed that the combination treatment of SnCl4 as a coagulant (jar test) followed by the ozonation process had recorded the highest removal of color (97.1%) and COD (88%) compared to other sequences. Moreover, the biodegradability ratio of this sequence also improved from 0.03 to 0.28, compared with other methods. Comparatively, integrated treatment is more effective in treating stabilized landfill leachate compared to the coagulation flocculation process alone.
Integrated Analysis of LncRNA-Mediated ceRNA Network in Calcific Aortic Valve Disease

Background: The high morbidity and mortality of calcific aortic valve disease (CAVD) represents an unmet clinical need to investigate the molecular mechanisms involved. Evidence suggests that long non-coding RNAs (lncRNAs) can act as competitive endogenous RNAs (ceRNAs) by binding to microRNAs and regulating target genes in cardiovascular diseases. Nevertheless, the role of lncRNAs related ceRNA regulation in CAVD remains unclear. Methods: RNAseq data of human diseased aortic valves were downloaded from GEO data sets (GSE153555, GSE199718), and differentially expressed lncRNAs (DElncRNAs), mRNAs (DEmRNAs) between CAVD and non-calcific aortic valve tissues with limma R package. Gene Ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Set Enrichment analysis (GSEA) were performed with clusterProfiler and gesaplot2 R package. The pivotal microRNAs were predicted by three databases intersection including TargetScan, MiRwalk, miRDB according to the genes related to the crucial pathways. ENCORI was used to predict targeted lncRNAs of hub microRNAs. We constructed lncRNA-miRNA-mRNA ceRNA network with Cytoscape software. The lncRNAs in ceRNA network were verified by RT-qPCR in human 30 calcific and 20 noncalcified aortic valve tissues. Results: In total, 1739 DEmRNAs and 266 DElncRNAs were identified in CAVD. GO, KEGG pathway, GSEA annotations suggested that most of these genes are enriched in extracellular matrix (ECM)-reporter interaction pathways. The ceRNA networks associated with ECM-reporter interaction are constructed and related lncRNAs including H19, SNHG3 and ZNF436-AS1 were significant upregulated in human calcific aortic valve tissues, which might be potential therapeutic targets for CAVD. Conclusions: In this study, we proposed a novel lncRNA-miRNA-mRNA ceRNA network related to ECM-reporter interaction pathways, which potentially regulates CAVD progression.
Multilevel 3-D Device Simulation Approach Applied to Deeply Scaled Nanowire Field Effect Transistors

Three silicon nanowire (SiNW) field effect transistors (FETs) with 15-, 12.5- and 10.6-nm gate lengths are simulated using hierarchical multilevel quantum and semiclassical models verified against experimental <inline-formula> <tex-math notation="LaTeX">${I}_{D}$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">${V}_{G}$ </tex-math></inline-formula> characteristics. The tight-binding (TB) formalism is employed to obtain the band structure in <inline-formula> <tex-math notation="LaTeX">$\mathit {k}$ </tex-math></inline-formula>-space of ellipsoidal NWs to extract electron effective masses. The masses are transferred into quantum-corrected 3-D finite element (FE) drift-diffusion (DD) and ensemble Monte Carlo (MC) simulations, which accurately capture the quantum-mechanical confinement of the ellipsoidal NW cross sections. We demonstrate that the accurate parameterization of the bandstructure and the quantum-mechanical confinement has a profound impact on the computed <inline-formula> <tex-math notation="LaTeX">${I}_{D}$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">${V}_{G}$ </tex-math></inline-formula> characteristics of nanoscaled devices. Finally, we devise a step-by-step technology computer-aided design (TCAD) methodology of simple parameterization for efficient DD device simulations.
Performance analysis of the wavefront sensor in the active correction of the INO340 Telescope

In large astronomical telescopes, the goal of the Active Optics System (AOS) is to provide correction of the telescope's low order aberrations at a low temporal bandwidth. In Active Optics Systems, the wavefront sensor (WFS) is used for the measurement of the telescope optical aberrations. In this paper, we discuss the measurement ability of the INO340’s Shack-Hartmann WFS. During the altitude motion, the primary mirror is positioned at different angles. Due to the gravity and the high weight of the mirror, the surface of the mirror deforms from its ideal shape. We simulate the deformation of the primary mirror surface in ANSYS at different angles. Then through optical simulation, the angular displacements of Shack-Hartmann WFS’s spots are calculated. Then based on the optical specifications of the telescope, the WFS, the guide star and the environmental conditions, we calculate the noise equivalent angle of the WFS, analytically. Finally, by comparing the angular displacement of Shock- Hartmann spots with the equivalent angle of noise, we analyze the performance of the wavefront sensor in terms of the altitude angle of the mirror, the magnitude of the guide star, and the Fried parameters.
Design and Control of a Novel Yokeless Axial Flux-Switching Permanent-Magnet Motor

In this paper, in order to increase the space for windings and torque capability, a novel yokeless and segmented armature axial field flux-switching sandwiched permanent-magnet (YASA-AFFSSPM) motor which is appropriate for direct-drive applications is proposed. The proposed motor is composed of single stator and two rotors. Stator winding has unit displacement winding factor. Moreover, two rotors are displaced by π (elec.) shift. The unaligned rotors are employed to achieve yokeless and segmented armature structure and also reduce the cogging torque. A three-phase 12/19-pole YASA-AFFSSPM motor is designed. This proposed motor and conventional AFFSSPM are optimized and compared with the conventional AFFSPM. It is shown that the YASA-AFFSSPM motor exhibits higher torque density and greatly lower cogging torque. To evaluate the static and dynamic performance of the YASA-AFFSSPM motor, the sensor-less control drives have been applied. A prototype of the optimized YASA-AFFSSPM motor is manufactured and tested.
Let’s play Urban Planner: The use of Game Elements in Public Participation Platforms

Through the provision of digital tools, government institutions aim to counter the growing alienation of citizens towards institutional politics and overcome traditional barriers of participation. However, as yet this approach has not shown the desired effects of increasing public participation in political decision-processes. In an attempt to encourage more citizens to make use of e-participation tools, some of these platforms hope to use the leverage and motivational effects of games by incorporating game-inspired elements. This research provides an overview of the current practice of applying gamification in public participation as well as preliminary insights into the effects of this approach. We review a selection of commercial applications as well as research projects, for which we list the included game elements and a critical discussion of the approach. Our results show that most projects focus on communicating accomplishments to users that are based on their quantity of participation. While little work has yet analyzed the concrete effects of individual game elements, up to now evaluations have mostly focused on the acceptance of specific gamified public participation platforms. The contribution of this research is twofold. Firstly, it offers relevant insights for the design of future e-participation platforms. Secondly, this work helps to establish a common terminology for game research.
Ising Machines’ Dynamics and Regularization for Near-Optimal MIMO Detection

Optimal MIMO detection is one of the most computationally challenging tasks in wireless systems. We show that new analog computing approaches, such as Coherent Ising Machines (CIMs), are promising candidates for performing near-optimal MIMO detection. We propose a novel regularized Ising formulation for MIMO detection that mitigates a common error floor issue in the naive approach and evolve it into a regularized, Ising-based tree search algorithm that achieves near-optimal performance. By means of numerical simulation using the Rayleigh fading channel model, we show that in principle, a MIMO detector based on a high-speed Ising machine (such as a CIM implementation optimized for latency) would allow a higher transmitter antennas (users)-to-receiver antennas ratio and thus increase the overall throughput of the cell by a factor of two or more for massive MIMO systems. Our methods create an opportunity to operate wireless systems using more aggressive modulation and coding schemes and hence achieve high spectral efficiency: for a <inline-formula> <tex-math notation="LaTeX">$16\times 16$ </tex-math></inline-formula> MIMO system, we estimate around <inline-formula> <tex-math notation="LaTeX">$2.5\times $ </tex-math></inline-formula> more throughput in the mid-SNR regime (≈12 dB) and <inline-formula> <tex-math notation="LaTeX">$2\times $ </tex-math></inline-formula> more throughput in the high-SNR regime (>20 dB) as compared to the industry standard, a Minimum-Mean Square Error (MMSE) linear decoder.