Miracle-dz/UniFAR-FTUs huggingface dataset:
Soil Organic Carbon and Labile Carbon Pools Attributed by Tillage, Crop Residue and Crop Rotation Management in Sweet Sorghum Cropping System

Labile organic carbon (LOC) fractions are considered as sensitive indicators of change in soil quality and can serve as proxies for soil organic carbon (SOC). Although the impact of tillage, crop rotation and crop residue management on soil quality is well known, less is known about LOC and SOC dynamics in the sweet sorghum production systems in South Africa. This short-term study tested two tillage levels: no-till and conventional-tillage, two crop rotations: sweet-sorghum/winter grazing vetch/sweet sorghum and sweet-sorghum/winter fallow/sweet sorghum rotations and three crop residue retention levels: 30%, 15% and 0%. Tillage was the main factor to influence SOC and LOC fractions under the sweet sorghum cropping system in South Africa. NT increased SOC and all LOC fractions compared to CT, which concurs with previous findings. Cold water extractable organic carbon (CWEOC) and hot water extractable organic carbon (HWEOC) were found to be more sensitive to tillage and strongly positively correlated to SOC. An increase in residue retention led to an increase in microbial biomass carbon (MBC). This study concludes that CWEOC and HWEOC can serve as sensitive early indicators of change in soil quality and are an ideal proxy for SOC in the sweet-sorghum cropping system in South Africa.
Light-induced Inversion of Na+ Uptake in Rice (Oryza sativa L.) under Salt Stress

Background: Rice is a salt-sensitive crop, and salinity is a major negative constraint on rice production, while light has a major positive effect on plant growth and development. How plants integrate the external salinity and light signals remains poorly understood. Results: Here, we demonstrated that light exposure enhanced the cation (Na+, K+, H+, and Ca2+) efflux from the rice (Oryza sativa L.) root for both salt-free and NaCl-treated rice. Surprisingly, net flux of Na+, J(Na+), in NaCl-treated rice was inverted in the light-on state. This inverted light-inducible J(Na+) signal suggests crosstalk between salt stress and light signals, with salt stress interfering with Na+ transport via down regulation of the light receptors. PPI network of this crosstalk suggested that there were key players, phytochrome A and B, phototropin 1A and 1B, and 2 at the bridging group and AKT1 potassium channel, monovalent cation/H+ antiporter and Na+/K+ antiporter (SOS1) at the interface between bridging group and cation transport group. Conclusions: Crosstalk between light and salt stress caused the inverted light-inducible J(Na+) signals. Phytochrome A and B, phototropin 1A and 1B, and 2 at the light-responding group and AKT1 potassium channel, monovalent cation/H+ antiporter and Na+/K+ antiporter (SOS1) at salt-stress responding group play an important role in this unique inverted light-inducible J(Na+) switch, which offers a new paradigm to understand the crosstalk between salt-stress and light signals.
Focused-ion-beam-assisted etching of diamond in XeF2

Ga focused-ion-beam (FIB)-assisted etching of single-crystal diamond and thin film diamond in XeF2 was studied. The etch yield in FIB-assisted etching of diamond in XeF2 is enhanced some six times over the physical sputtering yield. In the crystal orientation dependence of the etch yield in FIB-assisted etching, the (100) face produced the highest etch yield of the three faces—(100), (110), and (111). Thin film diamond produces the lowest etch yield. A diamond field emitter with a tip radius of less than 100 nm was obtained using Ga FIB spot exposure.
Floating Wetland Islands Implementation and Biodiversity Assessment in a Port Marina

Floating wetland islands (FWI) are considered nature-based solutions with great potential to promote several ecosystem services, such as biodiversity and water quality enhancement through phytoremediation processes. To our knowledge, the present work is the first to scientifically document the in-situ establishment of an FWI in a seawater port marina. The establishment and performance of a cork floating platform with a polyculture (Sarcocornia perennis, Juncus maritimus, Phragmites australis, Halimione portulacoides, Spartina maritima, Limonium vulgare) was evaluated. The diversity of organisms present in the FWI was undertaken based on the macrofauna assessment, taking into consideration marine water characterization, with a focus on hydrocarbons. Microbial communities were assessed based on metabarcoding approach to study 16S rRNA gene from environmental DNA retrieved from biofilm (from the planting media), marine biofouling (from the submerged platform) and surface marina water. S. perennis was the species with the highest survival rate and growth. The structure of the microbial community showed clear differences between those established in the FWI and those in the surrounding water, showing the presence of some bacterial groups that can be relevant for bioremediation processes (e.g., Saprospiraceae family). Concerning the macrofauna analysis, Mytilus sp. was the predominant taxa. To be of relevance, total petroleum hydrocarbons were detected at the marina up to ca. 6 mg/L. This study gives new insights into broadening FWI application to the saline environments of port marinas and to supporting a management strategy to promote several ecosystem services such biodiversity, species habitat, water quality enhancement and added aesthetic value to the marina landscape.
Building of Visual Analysis System for Design of Youth Sports Shoe Products Based on Comment Mining

This paper proposes a visual analysis system for data collection, pre-preprocessing and sentiment analysis to support whole-process innovative design of youth sports shoes. This system aims to analyze the sales data of sports shoe e-commerce sellers before and after design, provide reference for key design elements in innovative design of sports shoes based on 3D printing and realize dynamic closed design of pre-design data investigation and analysis and post-design feedback data analysis. With dynamic data collection technology based on a crawler, product feature extraction model, sentiment analysis model and big data visualization technology, this system can better satisfy data analysis requirement for innovative design of sports shoes.
Survey: Affective Recommender Systems Techniques

Recommender systems (RSs) are software tools or techniques that support the user in the decision-making process by suggesting possibilities that the system predicts. RSs are associated with numerous applications such as Amazon.com, for a book recommendation, compact disks, and other items, MovieLens, for the movie, and VERIFIED technologies, for news articles recommendation. There’s a critical range as of late showed up which is an affective recommender framework. The affective recommender is related to human behaviors. Due to this combination and distinctive interests, more statement is required, since it is in awkward organize and creating as compared to other ranges. So we have done a literature survey within affective recommender systems techniques. In affective recommender field, we tried to illustrate how the affective behavior of the user can be used in recommender systems.
Penalized Lq-likelihood estimators and variable selection in linear regression models

Abstract Consider a linear regression model where are independent identically distributed (iid) random variables with zero mean and known variance Based on the maximum Lq-likelihood estimator (MLqE) and the penalized likelihood estimator (PLE), we introduce a new parametric estimator which is called penalized Lq-likelihood estimator (PLqE). We investigate its Oracle properties and influence function. Simulation results support the validity of our approach. Furthermore, it is shown that the PLqE is robust, while the PLE is not.
Dialdehyde starch‐crosslinked chitosan films and their antimicrobial effects

For improved mechanical and water-swelling properties of chitosan films, a series of transparent films were prepared with dialdehyde starch as a crosslinking agent. Fourier transform infrared and X-ray analysis results demonstrated that the formation of Schiffs base disturbed the crystallization of chitosan. The mechanical properties and water-swelling properties of the films were significantly improved. The best values of the tensile strength and breaking elongation were 113.1 MPa and 27.0%, respectively, when the dialdehyde starch content was 5%. All the crosslinked films still retained obvious antimicrobial effects toward S. aureus and E. coli, and they showed potential for biomedical applications.
Freehand Drawing Segmentation Based on Color Differences

Image segmentation is a fundamental step in computer vision problems such as object detection, localization, recognition, etc. The accurate segmentation has a vital effect on the output results. n this work, we introduce a new approach of segmentation based on freehand drawing on the target object on the input image then segmented that object from the image based on the color differences in the image regions. The method applied to different types of images to justify the robustness of the method. The experimental results show the effectiveness of the proposed method to segment the freehand drawn object with different characteristics of the images (lightness, background, number of objects).
EFFECTS OF SURFACE ACTIVE AGENTS ON PELLET FORMATION IN SUBMERGED FERMENTATIONS OF STREPTOMYCES TENDAE.

ABSTRACT The effects of surface active agents on pellet formation in the filamentous bacterium Streptomyces tendae were investigated. Addition of pluronic F68 or Brij 58 at inoculation to the fermentation medium (up to 0·1% w/w) induced cellular aggregation. Below this concentration, the average pellet size increased with increasing surfactant concentration. Whereas, above this point inhibition of pellet formation was observed. Both surfactants caused aggregation of dispersed mycelia, when added after the fermentation.
Contact transition control by adjusting emitting energy of proximity sensor

ABSTRACT This paper proposes a control method to handle a state transition between a non-contact state and a contact state. The method is based on only force control instead of switching strategy between position control and force control. The main idea of the method is to utilize outputs of reflective proximity sensors as virtual forces and change the emitting energy of the sensors to adjust the magnitudes of the forces. The virtual force works as if the robot is covered with virtual elastic skin, the thickness of which relates to the magnitude. To evaluate the effectiveness, we conducted experiments with a simple robot arm, which has 1 degree of freedom and has an original proximity sensor specialized for the arm's shape. The results showed that the contact force became the desired value when the emitting energy equaled zero regardless of the speed of the transition, reflectance of the object, and whether the object is moving. The results, furthermore, indicated the method could control the contact force during the transition regardless of the difference of the contact point if the reflectance could be estimated. We concluded from these results that the proposed method is useful to control the transition. GRAPHICAL ABSTRACT
Identification of Friction Parameters of Robot Joints Based on Energy Consumption Model

In order to solve the problem that the joint friction torque value of industrial robots is difficult to be measured in practice, the joint friction identification method based on the energy model is used to indirectly obtain the friction model parameters by measuring the energy consumption value. According to the energy model and the measured robot energy value, the genetic algorithm is used to realize the parameter identification of the Stribeck friction model of joint friction. The results of the two identification methods based on friction torque identification and energy model identification are compared. The simulation results show that the error ratio of all the friction model parameters obtained by the two identification methods is less than 8%, and the error target value of the two identification results is less than 0.1%, which can effectively identify the relevant friction parameters. By designing an experimental scheme, the different speeds and corresponding energy consumption data of the IRB140 robot when joint 1 operates at a constant speed in a specified time are measured, and the Stribeck friction model parameters of the IRB140 robot’s joint 1 are identified by the proposed method.
The Implementation of Stream Architecture for Handling Big Data Velocity in Social Media

Big data is a term of complex data and difficult to process. It consists of several characteristics called 6 Vs. Many applications generate huge data and grow rapidly in seconds. This kind of data comes from many sources such as social media, Internet of Things, log system, e-commerce and so on. This rapid data should be handled with a different approach in big data solutions. This paper proposes to create stream architecture for big data velocity with open source technologies such as Apache Kafka and NoSQL database. The implementation is to handle massive incoming data from social media with specific keywords from Twitter and ingested to NoSQL Database though stream architecture. Historical data then processed to gain valuable insight for better information.
Metal ion-doped SnO2 ordered porous films and their strong gas sensing selectivity

Based on a sol-gel technique and the colloidal monolayer template, ion-doped SnO2 ordered porous films were fabricated, and the corresponding gas-sensing properties were studied. The sensitivity to the given test gases strongly depends on the doping species and doping amount. Importantly, when the doping amount is 1% M, the Cr+3 and Pd+2 doped porous films demonstrate a greatly enhanced sensitivity and strong selectivity to ethanol and ammonia, respectively. The improved sensing properties are attributed to the doping-induced surface modification of the films. Such ion-doped porous films are expected to bring new opportunities for application of future porous film-based gas sensors.
Evaluating how Swedish hunters value content in hunter education classes

ABSTRACT Hunter education classes are a compulsory education tool for all hunters in North America, Europe and some other regions. However, little research focuses on hunter education. We surveyed Swedish hunters, examining how they valued key aspects of hunter education, and identifying socio-demographic predictors for those preferences. Learning about dog handling and making friends in the hunting community were the least important aspects of hunter education. Information about firearms was most important followed by information about hunting ethics, hunting laws, and wildlife ecology. Agerelated positively to valuing most aspects of hunter education. Duration huntingrelated negatively to valuing those aspects. Hunters motivated by social interactions valued hunting ethics content more, and hunters motivated by obtaining trophies valued hunting ethics less than their counterparts. Hunter education in Sweden would benefit from changes aimed at highlighting aspects of hunting that students’ value most.
Colorimetric Determination of Phenylephrine hydrochloride Drug by Diazotization Reaction

By diazotization coupling reaction is one of the most frequently employed technique in pharmaceutical analysis. It involves measuring the amount of ultraviolet or visible radiation absorbed by a substance in solution as a method for estimation drug of Phenylephrine hydrochloride by reliant on azo-coupling reaction between (PHE)HCl and Clonazepam as a reagent. To reach to the aim of obtaining the colored product with a maximum absorbance 466nm. The linearity range for Phenylephrine hydrochloride was (0.5_9μg\ml) while the detections limit 0.006 and quantification limit 0. 02μg\ml The Molar Absorptivity 2.5457 ×104L/mol.cm with Sandal’s sensitivity 0. 01μg\cm2. Eventually these methods were successfully completed to determination of PHE.HCl in pure and commercial form.
Thermal and electrical conductivities of Cd–Zn alloys

The composition and temperature dependences of the thermal and electrical conductivities of three different Cd–Zn alloys have been investigated in the temperature range of 300–650 K. Thermal conductivities of the Cd–Zn alloys have been determined by using the radial heat flow method. It has been found that the thermal conductivity decreases slightly with increasing temperature and the data of thermal conductivity are shifting together to the higher values with increasing Cd composition. In addition, the electrical measurements were determined by using a standard DC four-point probe technique. The resistivity increases linearly and the electrical conductivity decreases exponentially with increasing temperature. The resistivity and electrical conductivity are independent of composition of Cd and Zn. Also, the temperature coefficient of Cd–Zn alloys has been determined, which is independent of composition of Cd and Zn. Finally, Lorenz number has been calculated using the thermal and electrical conductivity values at 373 and 533 K. The results satisfy the Wiedemann–Franz (WF) relation at T<373 K, which suggests the dominant carriers of thermal conduction are mainly electrons. Above this temperature (T>373 K), the WF relation could not hold and the phonon component contribution of thermal conductivity dominates the thermal conduction.
Rooted Tree Optimization for Backstepping Power Control of DFIG Wind Turbine: dSPACE Implementation

1 LIMAS Laboratory, Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco 2 LGEM Laboratory, Higher School of Technology, Mohammed First University, Oujda, Morocco. 3 EPEU unit, Polytech of Mons, Mons, Belgium. 4 Engineering, Systems and Applications Laboratory, Sidi Mohamed Ben Abdellah University, Fez, Morocco 5 Graduate School, Faculty of Information Technology, Duy Tan University, Da Nang 550000, Viet Nam 6 Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia Badre.bossoufi@usmba.ac. ma Abstract— This work is devoted to a new contribution to the field of optimization and control of a wind energy conversion system (WECS). A Rooted Tree Optimisation (RTO) will be applied to the non-linear adaptive Backstepping technique to improve its robustness and performance. The non-linear Backstepping control was carried out to control the powers of the doubly-fed induction generator (DFIG) connected to the electrical network by two converters (network side and machine side). Initially, a review of the wind power system was presented. Then, an exhaustive explanation of the Backstepping technique based on the Lyapunov stability and the optimization method was reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The last part of this work was dedicated to the experiment of the Backstepping adaptive algorithm on a test bench using the dSPACE-DS1104 card, to prove the performance of the system. The results obtained of this work either by follow-up or robustness tests or by experimental validation show a great improvement in terms of performance compared to other control techniques.
Identification of Potential Prognostic Biomarkers for Tongue Squamous Cell Carcinoma

Background: Tongue squamous cell carcinoma (TSCC) is one of the most common types of oral cancer and has a poor prognosis owing to a limited understanding of its pathogenetic mechanisms. The purpose of this study was to explore and identify potential biomarkers in TSCC by integrated bioinformatics analysis.Methods: The RNA sequencing data, methylation data, and clinical characteristics of TSCC patients were downloaded from The Cancer Genome Atlas (TCGA), and then differentially expressed RNAs (DERNAs), including differentially expressed long noncoding RNAs (DElncRNAs) and differentially expressed messenger RNAs (DEmRNAs), were identified in TSCC by bioinformatics analysis. Subsequently, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Hallmark pathway analyses were used to analyze the DERNAs. Univariate and multivariate Cox regression analyses were used to develop four-lncRNA and two-mRNA signatures and predict survival in TSCC patients. We established a risk model to predict the overall survival (OS) of TSCC patients based on the DERNAs with Kaplan–Meier analysis and the log-rank p test. Furthermore, weighted gene coexpression network analysis (WGCNA) was performed in Cytoscape, and a protein-protein interaction (PPI) network was established in the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database.Results: A total of 2,006 DEmRNAs and 1,001 DElncRNAs were found to be dysregulated in TSCC. A total of 417 DERNAs were used to construct the coexpression network, and the PPI network included 103 DEmRNAs. Univariate regression analysis of the DERNAs revealed 51 DElncRNAs and 90 DEmRNAs that were associated with OS in TSCC patients. Multivariate Cox regression analysis demonstrated that four of those lncRNAs (MGC32805, RP1-35C21.2, RP11-108K3.1, and RP11-109M17.2) and two mRNAs (CA9, GTSF1L) had significant prognostic value, and their cumulative risk score indicated that these four-lncRNA and two-mRNA signatures independently predicted OS in TSCC patients. Additionally, there was a positive correlation between the expression and methylation level of RP11-108K3.1, the OS significantly negatively correlated with hypermethylation and low expression of GTSF1L along with hypomethylation and high expression of CA9.Conclusions: The current findings provide novel insights into the molecular mechanisms of TSCC and identify four lncRNAs and two mRNAs that are potential biomarkers that may be independent prognostic signatures for TSCC diagnosis and treatment.
The Epipelic Algal Community in Tigris River and the Effect of Rasheed Power Plant Effluents on its Biodiversity

In order to find the effect of Rasheed Power Plant (RPP) effluents on biodiversity of Tigris River epipelic algal community, twelve monthly clay samples were collected from January to December 2012, at four selected sites along the Tigris River, which were located upstream RPP (S1), near RPP (S2) and down to the impact of RPP discharge (S3) and (S4). The results showed that epipelic cell density range from 60.493 × 103 cell/m3 at S1 to 155.744 × 103 cell/m3 at S2. Shannon diversity index (H) ranged from 0.275-2.517 bit/Ind. , species richness (D) ranged from 0.1115-2.1241, species uniformity index (E) ranged from 0.148-2.878. Generally, the biodiversity indicators result showed a positive quantitative effect of thermal effluent on epipelic community, and negative qualitative effect of thermal effluent on its community Also, it was concluded that the benthic clay of Tigris River was considered as poor diversity and polluted especially at site 2.