Miracle-dz/UniFAR-FTUs huggingface dataset:
Coriolus versicolor Mushroom Grown on Selenium-Rich Zeolitic Tuff as a Potential Novel Food Supplement

SUMMARY Research background In the recent years, considerable attention has been given to selenium status since its deficiency is linked with various disorders and affects at least 13% of world population. Additionally, mushrooms are known to possess pronounced capacity for absorption of various micronutrients, including Se, from soil/substrate. Here, we investigate the possibility of using Se-rich zeolitic tuff as a supplement for production of selenized mushroom. Furthermore, the impact of the enrichment on the activity of antioxidant enzymes and biological potential of Coriolus versicolor medicinal mushroom is studied. Experimental approach Se(IV)- and Se(VI)-modified natural zeolitic tuff from the Serbian deposit Zlatokop was used as supplement for mushroom cultivation. To examine the effectiveness of selenium enrichment, we determined total selenium with inductively coupled plasma mass spectrometry (ICP-MS), together with the activity of antioxidant enzymes in fresh fruiting bodies and biological potential of methanolic extracts. Antioxidant activity was evaluated using the appropriate tests for: inhibition of lipid peroxidation, DPPH free radical scavenging assay, Fe(III)-reducing antioxidant power assay and ability of chelating Fe2+ ions. The antibacterial activity against foodborne pathogens was measured by broth microdilution assay. Additionally, chemical composition of the prepared extracts was studied using UV-Vis and Fourier transform infrared (FTIR) spectroscopy. Results and conclusions Content of selenium detected in biofortified C. versicolor was even 470 times higher than in control on dry mass basis ((140.7±3.8) vs (0.3±0.1) µg/g), proving that Se-rich zeolitic tuff is an excellent supplement for mushroom production. Furthermore, the results of monitoring the activity of antioxidant enzymes revealed that most of the Se-enriched mushrooms exhibited higher superoxide dismutase (SOD) and catalase (CAT) and lower glutathione peroxidase (GSH-Px) activities than control. Due to higher amounts of enzymes, which can quickly catalyze the reduction of superoxide radicals, the quality of selenium-enriched mushrooms is preserved for a longer period of time. Investigation of biological potential indicated that Se-enriched mushroom methanolic extracts, generally, expressed enhanced antioxidant properties. Additionally, extracts showed antibacterial activity against all tested pathogenic microorganisms. Novelty and scientific contribution Cultivation of mushrooms on Se-enriched zeolitic tuff is a new technological approach for obtaining Se-fortified food/supplements with enhanced antioxidant and antibacterial activities.
Substructural Negations

We present substructural negations, a family of negations (or negative modalities) classiﬁed in terms of structural rules of an extended kind of sequent calculus, display calculus. In considering the whole picture, we emphasize the duality of negation. Two types of negative modality, impossibility and unnecessity, are discussed and “self-dual” negations like Classical, De Morgan, or Ockham negation are rede-ﬁned as the fusions of two negative modalities. We also consider how to identify, using intuitionistic and dual intuitionistic negations, two accessibility relations associated with impossibility and unnecessity.
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways

While current systems for autonomous robot navigation can produce safe and efficient motion plans in static environments, they usually generate suboptimal behaviors when multiple robots must navigate together in confined spaces. For example, when two robots meet each other in a narrow hallway, they may either turn around to find an alternative route or collide with each other. This paper presents a new approach to navigation that allows two robots to pass each other in a narrow hallway without colliding, stopping, or waiting. Our approach, Perceptual Hallucination for Hallway Passing (PHHP), learns to synthetically generate virtual obstacles (i.e., perceptual hallucination) to facilitate passing in narrow hallways by multiple robots that utilize otherwise standard autonomous navigation systems. Our experiments on physical robots in a variety of hallways show improved performance compared to multiple baselines.
Improving Logical Consistency in Pre-Trained Language Models using Natural Language Inference

Current state-of-the-art pre-trained language models (PTLMs) contain rich and vast amounts of world knowledge, demonstrating an ability to extrapolate information from contextual texts and to accurately answer questions [1]. However, the latent factual understanding captured by PTLMs can be irrational and inconsistent, causing PTLMs to be prone to generating contradictory statements [2]. We demonstrate that natural language inference (NLI) can provide additional signal about contradictory statements output by a PTLM. We explore several approaches for aggregating the entailment and contradiction probabilities acquired through NLI on a batch of PTLM predicted answers and define a scoring heuristic that balances between the NLI output and the PTLM’s confidence in its answers. Predictions whose scores are below a tuned threshold are revised before outputting final answers. In addition, we investigate methods for using these NLI probabilities to define a MaxSAT problem that, when optimized, yields corrected predictions. Our results demonstrate that a system that uses either of our approaches to revise PTLM answers has better accuracy and logical consistency than a vanilla PTLM.
FTIR AND FT-RAMAN ANALYSIS OF INTERACTION BETWEEN HUMAN HEMOGLOBIN AND TWO DYES

: Fourier transform infrared spectroscopy (FTIR) and FT-RAMAN as as perceived cycle focused on the depiction of sub-atomic spectroscopic investigation. FTIR spectroscopy is an advantageous process intended for basic description of protein and polypeptides. It also been conceded as a study of chemical compositions and elements present in the given sample. Raman spectroscopic investigation provides the vibrational spectrum of the exploration which can be considered as its “finger print” region it allows conventional considerate and identification. Association between Human hemoglobin and two colors, to be specific, amaranth and rhodamine 6G have been considered utilizing FTIR and FT-Raman spectroscopy. The atomic design and its utilitarian gathering were portrayed with the assistance of FTIR/FT-Raman spectra in the locales of 400-4000/50-4000 cm -1 .
Adapting Deep Learning models to IoT environments

Deep Learning (DL) models are very efficient for many applications including, computer vision, natural language processing… Yet DL models require important computation resources making it particularly difficult to deploy these applications in constrained environments such as the Internet of Things (IoT). Offloading DL models to the cloud is one solution to this problem but has a number of drawbacks related to the trade-off between efficiency and latency, and other privacy issues. In this paper we try to solve this problem using two approaches, first by sharing the DL model between the cloud and the device and second by optimising the execution of the model using early exiting where inputs do not need to execute the model entirely. Both approaches are optimized automatically in order to choose the best sharing point and the best exiting point according to input. The solutions proposed could be easily generalized and are independent of applications and offer a good alternative in order to execute DL models locally.
THE ELECTROMYOGRAPHY CHARACTERISTICS BETWEEN DIFFERENT LEVELS OF SOCCER PLAYER ON INSTEP KICKING

This study improves kicking performance by comparing muscle activity between different levels of players. Twelve soccer players in the college cup in division I and division II volunteered to participate in this study. A VlCON motion capture system (200 Hz) was used to capture the kicking motion including back-swing and forward-swing. The Noraxon electromyography system was used to collect and analyze the percentage of maximum voluntary contraction on rectus femoris, bicepsfemoris, tibialis anterior, and gastrocnemius. The Mann-Whilney U (a = -05) test was applied to assess significant differences in this study. The results indicated that division II players had a greater percentage maximum voluntary contraction in tibialis anterior in the back-swing. To avoid stiff movements in soccer kicks, division II players should decrease muscle contraction in the tiblalis anterior In the back-swing.
Fault Detection Filter Design and Optimization for Switched Systems with All Modes Unstable

This problem of intelligent switched fault detection filter design is investigated in this article. Firstly, the mode-dependent average dwell time (MDADT) method is applied to generate the time-dependent switching signal for switched systems with all subsystems unstable. Afterwards, the switched fault detection filter is proposed for the generation of residual signal, which consists of dynamics-based filter and learning-based filter. The MDADT method and multiple Lyapunov function (MLF) method are employed to guarantee the stability and prescribed attenuation performance. The parameters of dynamics-based filter are given by solving a series of linear matrix inequalities. To improve the transient performance, the deep reinforcement learning is introduced to design learning-based filter in the framework of actor-critic. The output of learning-based filter can be viewed as uncertainties of dynamics-based filter. The deep deterministic policy gradient algorithm and nonfragile control are adopted to guarantee the stability of algorithm and compensate the external disturbance. Finally, simulation results are given to illustrate the effectiveness of the method in the paper.
A systematic review of data quality issues in knowledge discovery tasks

Large volume of data is growing because the organizations are continuously capturing the collective amount of data for better decision-making process. The most fundamental challenge is to explore the large volumes of data and extract useful knowledge for future actions through knowledge discovery tasks, nevertheless many data has poor quality. We presented a systematic review of the data quality issues in knowledge discovery tasks and a case study applied to agricultural disease named coffee rust.
New Perspectives into Cellulose Fast Pyrolysis Kinetics Using a Py-GC × GC-FID/MS System

Cellulose pyrolysis is reportedly influenced by factors such as sample size, crystallinity, or different morphologies. However, there seems to be a lack of understanding of the mechanistic details that explain the observed differences in the pyrolysis yields. This study aims to investigate the influence of particle size and crystallinity of cellulose by performing pyrolysis reactions at temperatures of 673–873 K using a micropyrolyzer apparatus coupled to a GC × GC-FID/TOF-MS and a customized GC-TCD. Over 60 product species have been identified and quantified for the first time, including water. Crystalline cellulose with an average particle size of 30–50 × 10–6 m produced 50–60 wt % levoglucosan. Predominantly amorphous cellulose with an average particle size of 10–20 × 10–6 m resulted in remarkably low yields (10–15 wt %) of levoglucosan complemented by higher yields of water and glycolaldehyde. A detailed kinetic model for cellulose pyrolysis was used to obtain mechanistic insights into the different pyrolysis product compositions. The kinetics of the mid-chain dehydration and fragmentation reactions strongly influence the total yields of low-molecular weight products (LMWPs) and are affected by cellulose chain arrangement. Levoglucosan yields are very sensitive to the activation of parallel cellulose decomposition reactions. This can be attributed to the mid-chain reactions forming smaller chains with the levoglucosan ends, which remain in the solid phase and react further to form LMWPs. Direct quantification of water helped to improve the description of the dehydration, giving further indications of the dominant role of mid-chain reaction pathways in amorphous cellulose pyrolysis.
Robust Stability of Networked Load Frequency Control Systems with Time-Varying Delays

Abstract In deregulated power system scenario coupled with smart grid technology, for networked load frequency control (LFC), an open communication structure, owing to low cost and flexibility, is preferred over dedicated networks in the feedback control loop for transmitting/receiving the data between the geographically displaced power system and the control center. In such a control scheme, closing the feedback loop through an open communication channel, in turn, introduces two additive time-varying delays of dissimilar characteristics in the feedback path. These delays degrade the performance of the closed-loop system, and exert a destabilizing effect on the overall system. In this paper, using Lyapunov-Krasovskii functional approach, a less conservative stability criterion is presented to ascertain delay-dependent stability of such network-controlled LFC systems with two additive time-varying delays in the feedback path in the presence of uncertain load disturbance conditions. Unlike the existing results, which are derived by combining these two delays into one, the proposed result considers the two delays as separate entities thereby imparting more generalization into the stability analysis. The effect of unknown exogenous load disturbance is incorporated by mathematically modeling them as a bounded non-linear time-varying function of current and delayed state vectors.
Determination of anti-HCV signal to cut-off value in patients with hepatitis C virus infection and the variety of antibody responses

Objectives: The diagnosis of hepatitis C virus (HCV) infection starts with the detection of antibodies against recombinant or synthetic HCV proteins by Enzyme Immunoassay (EIA). Although EIA tests are highly sensitive, false positivity rates are not low. Positive anti-HCV results are generally confirmed with complementary tests such as Nucleic Acid Amplification Tests (NAAT), or Western Blot modifications. Methods: The anti-HCV results of 199,516 individuals referred from various clinics between 2015 and 2019 were evaluated retrospectively at University of Health Sciences, Şişli Hamidiye Etfal Training and Research Hospital, Medical Microbiology Laboratory. From the 2039 samples, of which EIA tests resulted borderline and reactive, 1419 samples having Line Immunoassay (LIA) confirmatory test results were included in the study. Results: LIA tests yielded positive, negative and indeterminate for 820 (57.8%), 519 (36.6%) and 80 (5.6%) of 1419 samples, respectively. The optimal threshold point for EIA anti-HCV signal to cut-off (S/Co) according to LIA was found to be 15.85 corresponded to diagnostic sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of 94.9%, 94.8%, 96.6%, 92.1%, 94.9%, respectively. The most common proteins detected in LIA positive samples were C1 96.3%, C2 90.4%, and NS3 93.2%. Conclusions: To prevent false positivities, confirmatory tests must be used for samples with low S/Co ratios. The use of S/Co value will make significant contribution to reducing both false-positive results and the LIA confirmatory test consumption. There was no correlation between the number of bands and EIA index values in LIA positive samples, while the relationship between the number of 3+ bands and index values was remarkable.
A hybrid protection approaches for denial of service (DoS) attacks in wireless sensor networks

ABSTRACT Wireless sensor network (WSN) contains the distributed autonomous devices with the sensing capability of physical and environmental conditions. During the clustering operation, the consumption of more energy causes the draining in battery power that leads to minimum network lifetime. Hence, the WSN devices are initially operated on low-power sleep mode to maximise the lifetime. But, the attacks arrival cause the disruption in low-power operating called denial of service (DoS) attacks. The conventional intrusion detection (ID) approaches such as rule-based and anomaly-based methods effectively detect the DoS attacks. But, the energy consumption and false detection rate are more. The absence of attack information and broadcast of its impact to the other cluster head (CH) leads to easy DoS attacks arrival. This article combines the isolation and routing tables to detect the attack in the specific cluster and broadcasts the information to other CH. The intercommunication between the CHs prevents the DoS attacks effectively. In addition, the swarm-based defence approach is proposed to migrate the fault channel to normal operating channel through frequency hop approaches. The comparative analysis between the proposed table-based intrusion detection systems (IDSs) and swarm-based defence approaches with the traditional IDS regarding the parameters of transmission overhead/efficiency, energy consumption, and false positive/negative rates proves the capability of DoS prediction/prevention in WSN.
Unmanned Aerial Transportation System With Flexible Connection Between the Quadrotor and the Payload: Modeling, Controller Design, and Experimental Validation

Aerial delivery is becoming a reality due to the development of microelectronics and communication technology. Most existing methods for cable-suspended transportation systems utilize fixed-length cable to connect the unmanned aerial vehicle quadrotor and the payload. Such aerial transportation systems present underactuated property, which is caused by the indirectly controllable payload motion and the underactuation of the quadrotor itself. In practical applications, payload hoisting and lowering motion independent of the quadrotor altitude will further expand the application scope in such areas as limited space crossing and offshore sample collection. To realize the aforementioned objectives, a flexible connection between the quadrotor and the payload is realized by mounting an actuator beneath the fuselage. Suffering from strong nonlinearity and complex dynamic coupling, the control problem becomes extremely challenging and more cumbersome, as the system’s degree of freedom (DOF) increases. To deal with these problems, in this article, a nonlinear control approach is presented by energy-based analysis, which achieves simultaneous quadrotor positioning, payload swing elimination and hoisting/lowering. Lyapunov techniques and LaSalle’s Invariance theorem are utilized to prove the asymptotic convergence of the equilibrium point. Finally, a series of hardware experiments are conducted on a self-built aerial transportation platform. As far as we know, this article provides the first mechanism and control solution for payload hoisting/lowering independent of the quadrotor altitude.
PENGARUH PEMBERIAN URINE SAPI DAN PUPUK NPK TERHADAP KOMPONEN PRODUKSI TANAMAN JAGUNG MANIS(Zea mayssaccharata Sturt)DI LAHAN GAMBUT

This study aimed to determine the effect of cow urine and NPK fertilizers, as well as getting the best dose on production component of sweet corn on peatlands. The research was conducted on peat types sapric in Experimental Farm, Faculty of Agriculture Rimbo Panjang TambangDistrict of Kampar Regency and conducted over three months starting in December 2015 to March 2016. The study was conducted using a factorial RAL consisting of two factors with the first factor is giving of cow urine U1: cow urine concentration of 150 ml/l, U2: cow urine concentration of 300 ml/l, U3: cow urine concentration of 450 ml/l and U4: cow urine concentration of 600 ml/l. The second factor is the NPK fertilizer is P0: without fertilizer NPK, P1: award NPK 150 kg/ha and P2: award NPK 300 kg/ha. Data were analyzed statistically using analysis of variance followed by Duncan's multiple range test at 5% level. Parameters measured were plant growth rate, production per plot, weight per cob without husk, cob without husk lengthand diameter cob without husk.The results showed interaction NPK fertilizer of cow urine and cow urine as well as single factor effect is not real to each parameter of observation. Giving a single factor NPK showed an increased rate of plant growth, production per plot, weight per cob without husk, without husk cob lengthand cob diameter without husk. Increased production of sweet corn is highest at a dose of 300 ml of cow urine treatment with NPK fertilizer 150 kg/ha of 6,53 kg/5,25 m 2 (equivalent to 5,0 tons/ha), increased 83% compared with no fertilizer NPK and 150 ml cow urine. Key w ord : Cow urine, NPK fertilizer and sweet corn
Reliability and Capacity Planning in Hybrid Optical Networks

Reliability and Capacity Planning in Hybrid Optical Networks RF-based wireless backhaul networks generally are a bottleneck in satisfying the ever-increasing demand for bandwidth. Enhancing the capacity of wireless backhauls can be done through boosting some strategically located links. The first part of this dissertation focuses on link augmentation via MIMO RF and Free Space Optics (FSO) technologies. Adopting a TDMA-based framework, we formulate the problem of transceiver placement and scheduling of the links to maximize the network capacity. To avoid the complexity of the ILP, we also propose a randomized greedy heuristic algorithm. We show by simulations that our heuristic achieves a high fraction of the network capacity. The second part of this dissertation is concentrated on planning reliability for FSO-based networks and providing reliability for partially disconnected networks through FSO technology. Due to the strong dependence of FSO link availability on weather conditions (e.g., fog, cloud, air turbulence), the use of RF links is still inevitable, both for backup and signaling. We use FSO link availability prediction as an input in the formulation of these problems. Especially, we take the reconfigurability of FSO links into account for added reliability. We also propose a method to recover a network that is partially disconnected due to natural disasters or terrorist attacks through FSO relays. Finally, we focus on reliability planning for high speed wireless backhaul based on high altitude platforms. High altitude balloons used as base stations appears to be an easy and cost-effective solution in remote and rural areas thanks to its infrastructure-less characteristics. Ease of deployment and low cost, however, come at the price of complicated issues introduced by dynamic and complex topology of such networks. Despite the possibility of mov-