Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on Vehicle-Trailer State and Parameter Estimation

Vehicle-trailer systems have various unstable modes including trailer snaking, jack-knifing, and roll-over, which should be considered in their stability control. For stability control design purposes, various techniques have been proposed to estimate vehicle-trailer system states and parameters. Some of these techniques rely on vehicle kinematic/dynamic models while others are data-driven and do not require a model. This review paper provides a comprehensive overview of different model-based and non-model-based techniques/algorithms developed for estimating vehicle-trailer system states and parameters. The main features, limitations, and assumptions for each estimation method are discussed. The trailer parameter estimation feasibility is also investigated for different possible vehicle-trailer on-board sensor settings. This paper can be used as a review and reference resource for engineers working in vehicle with semi-trailer state estimation and safety systems.
A Random Forest Model for the Prediction of FOG Content in Inlet Wastewater from Urban WWTPs

The content of fats, oils, and greases (FOG) in wastewater, as a result of food preparation, both in homes and in different commercial and industrial activities, is a growing problem. In addition to the blockages generated in the sanitary networks, it also represents a difficulty for the performance of wastewater treatment plants (WWTP), increasing energy and maintenance costs and worsening the performance of downstream treatment processes. The pretreatment stage of these facilities is responsible for removing most of the FOG to avoid these problems. However, so far, optimization has been limited to the correct design and initial installation dimensioning. Proper management of this initial stage is left to the experience of the operators to adjust the process when changes occur in the characteristics of the wastewater inlet. The main difficulty is the large number of factors influencing these changes. In this work, a prediction model of the FOG content in the inlet water is presented. The model is capable of correctly predicting 98.45% of the cases in training and 72.73% in testing, with a relative error of 10%. It was developed using random forest (RF) and the good results obtained (R2 = 0.9348 and RMSE = 0.089 in test) will make it possible to improve operations in this initial stage. The good features of this machine learning algorithm had not been used, so far, in the modeling of pretreatment parameters. This novel approach will result in a global improvement in the performance of this type of facility allowing early adoption of adjustments to the pretreatment process to remove the maximum amount of FOG.
Complexation Study of Kryptofix22DD with Ag+ Cation in Some Mixed Non-aqueous Binaries Solutions

The complexation reactions between Kryptofix22DD, with Ag+ cation, was studied in acetonitrile-dimethylformamide (AN-DMF), acetonitrile- tetrahydrofuran(AN-THF), methanol- tetrahydrofuran (MeOH-THF) and methanol-dimethylformamide (MeOH-DMF) binary non-aqueous dissolvable arrangements at various temperatures utilizing the conductometric strategy. The conductance information shows that in all cases, the complex stoichiometry framed between the macrocyclic ligand and the metal cation is 1:1 [ML]. The experimental results indicate that in any event, the complex stoichiometry formed between the Ag+ and the Kryptofix22DD macrocyclic ligand is 1:1 (ML). The qualities the development constants of the complex have been amassed by plotting the molar conductivity bends-utilizing program, GENPLOT. A nonlinear relationship was observed between the complex's stability constant (log Kf) and the binary solvent composition. The values standard thermodynamic parameters (ΔHc° and ΔSc°) have been determined Dependence of the temperature of constant stability of the complex using van't Hoff plots. The results show that thermodynamic quantities are dependent on nature and Binary Solvent Composition solutions.
An Oxygen Responsive Microparticle-Patterned Hydrogel Sheet for Enzyme Activity Imaging

A patch-type oxygen imaging sheet useful for in vitro cellular metabolic assays was developed. Oxygen-responsive fluorescent microbeads were embedded into a biocompatible polyacrylamide gel sheet, which can be directly attached onto target cells for fluorescent imaging of metabolic activity. The sensor beads were directed in a microfluidic device using AC and DC electric manipulation techniques, followed by encapsulation in a hydrogel. Fluorescent imaging of oxygen-consuming activity was demonstrated for glucose oxidase-modified microparticles as cellular models to show the applicability of the imaging sheet to bioassays. © The Electrochemical Society of Japan, All rights reserved.
Short-Time Spot Communication Using COTS Stereo Speaker

In this paper, we construct the spot communication method using a stereo speaker. In our proposed method, one speaker transmits differential binary phase-shift keying (DBPSK) symbols for communication, and the other speaker transmits sine waves whose frequency is close to that of the DBPSK symbols for jamming. Inside the spot, the jamming signal is canceled by the orthogonality of the communication symbols and jamming signals. Outside the spot, the jamming signal inverts the differential phase of the communication symbols, which prevents normal DBPSK demodulation rendering the communication symbols concealed in the area. This enables correct demodulation only inside the spot. In the conventional method using a stereo speaker, the effect of the jamming signal is weak; thus, transmitting at least 11 symbols is required. In our proposed method, the effective jamming using the interference between sine waves of close frequencies enables spot communication by transmitting only 3 symbols. In the evaluation experiments, we generate the spot from −10 to 20 degrees in a real environment and measure the signals at 9 positions inside and outside the spot, from −40 to 40 degrees at 10 degree intervals. The measurements were conducted 100 times at each position. Through these experiments, we confirmed that demodulation errors occur only outside the spot. In the measurement results, some systematic errors of the differential phase were observed inside the spot, where theoretically this error should not occur. To discuss this error, we conducted additional experiments and revealed the causes.
A Compact Low-Profile Reconfigurable Metasurface Antenna With Polarization and Pattern Diversities

A compact low-profile reconfigurable metasurface (MTS) antenna is presented in this letter, occupying an overall size of 0. 65λ0 × 0. 65λ0 × 0. 067λ0. The proposed antenna is mainly composed of a 3 × 3 square MTS, a ring-shaped pixel structure, a square microstrip patch, a metal ground plane, and a simple feeding network. Through the characteristic mode analysis, two orthogonal degenerate modes are excited to realize the reconfigurable two linear polarizations and one circular polarization (CP). Furthermore, by loading an annular pixel structure around the MTS, the designed antenna can produce the steerable beam directions of ±40° with horizontal polarization, ±20° with vertical polarization, and ±25° with CP in the yz plane. Due to the symmetry of the layout, polarization and pattern diversities can also be realized in the xz plane. The proposed reconfigurable antenna is manufactured and measured to demonstrate the proposed design. The measured results show that the designed antenna acquires polarization and pattern diversities in C-band at the center frequency of 5 GHz, and the test results generally are in consistent with the simulation ones, which demonstrates the superiority of the proposed antenna.
O papel da via do indol-3-piruvato na produção de ácido indol-3-acético e promoção do crescimento vegetal pela linhagem Bacillus sp. RZ2MS9

The role of the indole-3-pyruvate pathway in the indole-3-acetic acid production and plant growth promotion by Bacillus sp. RZ2MS9 The bacterial biosynthesis of indole-3-acetic acid (IAA) plays a significant role in plant growth promotion. Among the bacterial pathways to IAA biosynthesis, the indole-3-pyruvate (IPyA), whose precursor is the amino acid tryptophan (Ltrp), regulated mainly by the ipdC gene, is the best described in plant growth promoting rhizobacteria (PGPR's). Despite its importance, metabolic pathways of bacterial synthesis of IAA and the genes involved in this process has not been studied well at a molecular level. The PGPR Bacillus sp. RZ2MS9, previously isolated from guaranazeiro rhizosphere, has been showing satisfactory plant growth promoting activity. The increment on root development by Bacillus sp. RZ2MS9 inoculation suggests the relevance of IAA during its plant interaction. Moreover, the sequencing of its genome indicated the presence of several genes related to growth promoting, with emphasis on genes involved in the biosynthesis of auxins through the IPyA pathway. Therefore, the present study has the following objectives: i) assess the influence of supplementation of the amino acid Ltrp and IAA on the expression of genes in the IPyA pathway: aaaT, ipdC and aldH in Bacillus sp. RZ2MS9; ii) evaluate the molecular and phenotypic effects of the knockout of the ipdC gene in the Bacilllus sp. RZ2MS9 ΔipdC as well as its interaction with maize plants.
Fractional Frequency Reuse in Random Hybrid FD/HD Small Cell Networks With Fractional Power Control

Small cells are regarded as a promising solution for improving the coverage and spectral efficiency of the fifth generation (5G) cellular networks. Small cell networks utilize low transmission power levels and thus, are appropriate for deploying full-duplex (FD) technology. In this paper, a hybrid full/half duplex (FD/HD) small cell network exploiting fractional frequency reuse (FFR) and fractional power control (FPC) for interference mitigation is considered. Theoretical expressions for the coverage probability and the average sum-rate in uplink and downlink directions are derived for systems that make use of conventional frequency reuse, hard FFR, and soft FFR. The impact of various system parameters, such as power control parameter, small base station (SBS) density, and self-interference cancellation (SIC) parameters on system performance are investigated. The numerical experiments show that SBSs tend to operate in FD mode for large values of SBS density and SIC level. Also, interestingly, the optimal sum-rate is achieved when all SBSs operate either in FD or in HD mode. Finally, it is observed that exploiting FFR techniques in FD networks making use of FPC, significantly improves downlink coverage probability.
Extreme dust storm events monitoring using space based remote sensing through INSAT-3D

Occurrence of extreme events such as dust storms are now very frequent and fatal causing significant loss to the mankind. Therefore, understanding the origin of a dust storm and its propagation has become pivotal. But its forecasting is quite challenging. However, space based remote sensing has been quite useful so far in monitoring such extreme events. With the recent addition of satellites such as INSAT-3D and INSAT-3DR, which present very high spatiotemporal information, monitoring extreme events have been taken front foot in meteorology studies. In this paper, few cases of extreme dust storm events those occurred over India in pre-monsoon seasons of 2018 and 2019, which has been quite hazardous, are monitored using INSAT-3D/3DR sounders and imagers. The propagation and the impact of presence of dust are identified on different Infrared channels by analyzing the various observations present in the satellite data. Comprehensive sensitivity analysis also carried out to understand the response of satellite's remote sensing due to the influence of dust storms. Thus, this work can provide not only an insight to the impact of dust storms on meteorological parameters but also the scope and utility of such satellite meteorology in capturing signatures of extreme dust events. And therefore this study also weighs and highlights the potential of INSAT-3D/3DR in assisting the weather forecasting and now-casting programs of extreme events.
Biocatalysis and Process Integration in the Synthesis of Semi-synthetic Antibiotics

and mod-eling of important features at the active site suggest critical attributes that can be further modified to continue the rational design of this enzyme for bioremediation of pesticide contaminants and CW A stock-piles. OPH is one of the few enzymes which has been shown to be capable of hydrolyzing the P-S bond of various OP pesticides; however, it possesses a wide range of catalytic rates (0.0067-167 S-I). hydrolysis specific in and mod-eling of important features at the active site suggest critical attributes that can be further modified to continue the rational design of this enzyme for bioremediation of pesticide contaminants and CW A stock-piles. OPH is one of the few enzymes which has been shown to be capable of hydrolyzing the P-S bond of various OP pesticides; however, it possesses a wide range of catalytic rates (0.0067-167 S-I). hydrolysis specific in
AI Automation and Retailer Regret in Supply Chains

Artificial intelligence (AI) has significantly changed the supply chain process. In this study, we study the effects associated with AI automation of the retailer's order decision in a decentralized supply chain comprising one supplier and one regretful retailer. In the absence of AI automation, the retailer has a regret bias in that it behaves as though considering the deviation between the realized demand and order quantity, when making an ex ante inventory decision. We find that if profit margins of the supply chain are high, regret bias drives the retailer to decline the supplier's contract, whereas, if profit margins are low, regret drives retailers to order more from the supplier. As a result, although the automation of retailer decision leads to a higher expected profit for a retailer that operates in a centralized vacuum, it nevertheless can be a negative force for a decentralized supply chain with either high or low profit margins. Perhaps more interestingly, as a retailer's decision becomes automatic, it is not destined to earn a higher expected profit. In the extreme, a lose‐lose outcome can prevail in which automation potentially leaves both the retailer and supplier worse off.
N-Hydroxysuccinimide crosslinked graphene oxide–gold nanoflower modified SPE electrode for sensitive detection of chloramphenicol antibiotic

Here we introduce a composite material that consists of graphene oxide (GO) sheets crosslinked with N-hydroxysuccinimide (NHS) and functionalized with gold nanoflowers (AuNFs). Furthermore, a screen printed electrode (SPE) modified with the introduced composite is electrochemically reduced to obtain an SPE/rGO–NHS–AuNFs electrode for sensitive and selective determination of chloramphenicol (CAP) antibiotic drug. The morphological structure of the as-prepared nanocomposite was characterized by scanning electron microscopy, energy-dispersive X-ray spectroscopy, cyclic voltammetry, Fourier-transform infrared spectroscopy and electrochemical impedance spectroscopy. The proposed sensor demonstrated excellent performance with a linear concentration range of 0.05 to 100 μM and a detection limit of 1 nM. The proposed electrode offers a high level of selectivity, stability, reproducibility and a satisfactory recovery rate for electrochemical detection of CAP in real samples such as blood serum, poultry feed, milk, eggs, honey and powdered milk samples. This further demonstrates the practical feasibility of the proposed sensor in food analysis.
Application of Cupron Spectrophotometry Determining Copper in Electroplating(I)(to be continued)——Determination of Copper in Electroplating Waste Water

Cupron spectrophotometry determining copper with EDTA-Cit-NH4OH mixed solution to screen interference ions and directly determining copper in aqueous solution was introduced.This method can be used in electroplating analysis in following aspects: analysis of copper in electroplating waste water,analysis of copper impurity in various electroplating bath,analysis of copper in alloy coatings and alloy plating baths etc.Principle,analytical operation and calculation of this method were also introduced in detail.
Clinical Application of ICP Monitoring Based on FVEP in Treatment of Patients with Hypertensive Intracerebral Hemorrhage

ObjectiveTo investigate the application value of flash visual evoked potential (FVEP) in the monitoring of the noninvasive intracranial pressure (nICP) in patients with hypertensive intracerebral hemorrhage (HICH). MethodsOne hundred and two patients with HICH were randomly divided into FVEP nICP monitoring group (experimental group) and the non-monitoring group (control group). The experimental group were examined lumbar puncture immediately after intracranial pressure was monitored by FVEP. Mannitol was used to dehydration treatment of intracranial hypertension patients. The serum concentrations of creatinine and urea nitrogen were recorded to assess the renal function. Using the mannitol usage to evaluate the value of FVEP nICP monitoring techniques in guiding the adjustment of dehydrating agent. The Glasgow prognosis scores (GOS) were evaluated for patients' prognosis between two groups. ResultsThere was no statistical significance between FVEP nICP measurement and lumbar puncture intracranial pressure measurement (195.76 ±13.24 mmH2O vs 197.04 ±11.98 mmH2O, P>0.05). The use of mannitol in the experimental group was significantly lower than that in the control group (P< 0.05), and the serum creatinine and urea nitrogen concentrations in the two groups were not statistically significant (P> 0.05). The cure rate of the experimental group was higher than that of the control group (χ2=3.889, P=0.048). ConclusionFVEP nICP monitoring technology could replace invasive intracranial pressure monitoring technology in monitoring intracranial pressure for HICH patients. The application of FVEP nICP technique can reduce the dosage of dehydrating mannitol and improve the prognosis of patients with HICH.
SURGICAL OUTCOME OF ADDING PLATELET RICH PLASMA ON UNDERLAY MYRINGOPLASTY FOR ANTERIOR TYMPANIC MEMBRANE PERFORATION

Background: Surgical closure of anterior tympanic membrane perforation (ATMP) has poor outcome due to many reasons as reduced vascular supply, limited anterior margin, poor visualization, and inadequate graft stabilization. Platelet Rich Plasma (PRP) can be defined as an autologous concentration of human platelets in a small volume of plasma. Objective: To evaluate the effect of adding PRP on healing of ATMP by using underlay technique myringoplasty. Patients and Methods: A prospective randomized study included 40 patients with chronic dry ATMP, attending the ENT outpatient clinics of Al-Azhar University Hospitals between June 2015 and Aug 2016. They were randomly divided into two equal groups: Study group underwent underlay myringoplasty by temporalis facia graft with adding PRP, and control group underwent underlay myringoplasty with only temporalis facia graft. Patients were seen 1, 2, 3 months after surgery. Results: In the study group, 70% were males and 30% were females, and in control group 55% were males and 45% were females, with a mean age of 35.1 ± 5.7 years in study group, and 32.6 ± 7.6 years in the control group. In study group complete healing of perforation was 85%, reduction of perforation size was 10% and failure of healing was 5%, whereas in control group complete healing of perforation was 45%, reduction of perforation size was 15% and failure of healing was 40%. Conclusion: Addition of PRP to fascia graft and using underlay technique myringoplasty increase the incidence of healing of ATMP with decrease post-operative complication.
Omnidirectional Scene Illuminant Estimation Using A Mirrored Ball

This paper proposes a method for estimating the omnidirectional distribution of the scene illuminant spectrum from images taken by a camera aimed at a mirrored ball. First, we introduce measuring systems using a RGB color camera and a mirrored ball placed at an arbitrary location in a natural scene for acquiring ambient light from any direction. Second, in order to estimate the direction from which light comes to the ball, we calibrate the measuring systems and determine a mapping between the image coordinates of the spherical ball and the directions of light rays in the world. An omnidirectional image representing the spatial distribution of ambient light sources is created in a polar coordinate system. Third, we present an algorithm for recovering the illuminant spectral power distribution from the image data at each pixel and the reflectance data of the mirrored ball. Finally, we execute an experiment in a natural environment with multiple light sources for examining the feasibility of the proposed method.
Prognostic models for predicting overall and cancer-specific survival in hepatocellular carcinoma: A competing risk analysis

Objectives This study was conducted to estimate the probability of cancer-specific survival (CSS) of HCC and establish a competing risk nomogram for predicting the CSS of HCC using a large population-based cohort. Methods Patients diagnosed with HCC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results Program. The CSS and overall survival (OS) were the endpoints of the study. A competing risk nomogram for predicting CSS was built with Fine and Gray’s competing risk model, and the nomogram for predicting OS was constructed with Cox proportional hazard regression models. The predictive performance of the model was tested in terms of discrimination and calibration. Results A total of 34,957 patients were included in the study and randomly divided into a training set and validation set at a ratio of 9:1. Multivariate analysis identified age, race, sex, surgical therapy, chemotherapy, radiotherapy, tumour diameter, and tumour staging as independent predictive factors of CSS. Additionally, marital status was identified as an independent predictive factor of OS. Using these factors, corresponding nomograms were constructed for CSS and OS. In the validation set, the concordance-index of the two nomogram models reached 0.810 and 0.750, respectively. Calibration curves revealed good consistency between the prediction of models and observed outcome. Furthermore, cumulative incidence function analysis and Kaplan-Meier analysis divided patients into four distinct risk subgroups, supporting the predictive performance of the models. Conclusions In this population-based analysis, we developed and validated nomograms for individualized prediction of CSS and OS in patients with HCC.
Reinforcement Learning-Based SCMA Codebook Design for Uplink Rayleigh Fading Channels

Sparse Code Multiple Access (SCMA) is a promising technique for next generation mobile communication systems. In this letter, the problems surrounding the design of an SCMA codebook problem are confronted through the use of Artificial Intelligence (AI) techniques. The suggested algorithm is based on Reinforcement Learning (RL). The design parameters include a set of actions, a set of states, and a reward function. It is shown that the proposed algorithm is capable of generating codebooks that include superior metric values and optimized signal constellations based on low levels of searching complexity. The low-complexity feature in the RL-based construction algorithm ensures that it is more suitable to applications that rely on large-scale SCMA schemes.