Miracle-dz/UniFAR-FTUs huggingface dataset:
Combined Foliar and Soil Selenium Fertilizer Improves Selenium Transport in Oats and the Diversity of the Bacterial Community in Rhizosphere Soil

Reasonable application of selenium (Se) fertilizer is beneficial for improving Se contents in grains and can affect soil ecology. No study has compared Se fertilizer application methods on biofortification, yield, and soil bacterial community. This study investigated the effects of topsoil (T), foliar (S), and soil+foliar (TS) application of Se fertilizer on oats. TS treatment significantly increased oat yield compared with the control and S. The Se content in grains was increased in the order of TS > S > T. T and TS increased the nutrients, soil organic matter, activities of urease, alkaline phosphatase, and sucrose, as well as the diversity and abundance of soil bacterial communities. According to PCA analysis, TS and T increased the relative abundance of bacteria involved in the decomposition of organic matter, such as Proteobacteria, Chloroflexi, and Bacteroidetes, while reduced Granulicella, Bacillus, Raoultella, Lactococcus, Klebsiella, and Pseudomonas. Furthermore, TS significantly increased the relative abundance of Aciditeromonas, Gemmatimonas, Geobacter, and Thiobacter. While, T significantly increased the abundance of Lysobacter, Holophaga, Candidatus-Koribacter, Povalibacter, and Pyrinomonas. S did not significantly change the bacterial communities. The redundancy analysis revealed that soil nutrients and enzyme activities were positively correlated with the abundance of Actinobacteria, Acidobacteria, Gemmatimonadetes, Bacteroidetes, Planctomycetes, and Chloroflexi, but negatively correlated with the abundance of Proteobacteria and Firmicutes. Thus, a combined application of foliar and soil Se proved most conducive for achieving higher yield, grain Se content, and improving bacterial community structure and functional gene expression in rhizosphere soil.
Role of Bumblebees (Hymenoptera: Apidae) in Pollination of High Land Ecosystems: A Review

Bumblebees are one among the anthophilous form and play a significant role in the pollination of major agricultural crops like medicinal, aromatic, ornamental and various other horticultural plants. They are abundant and mostly confined to flowers present in the temperate, alpine and arctic climates of the northern continents. The bumblebees are considered as most important pollinators and are mainly responsible for the conservation of high altitude vegetation germplasm where other insect pollinators are very much limited. They are more successful pollinators and can visit large number of flowers per minute than other bees and are perfect for picking up and transferring appreciable amount of compatible pollen to flowers and thus perform buzz pollination. It is quite evident that the population of bumblebee is gradually declining throughout the globe for the last 7 decades due to agricultural intensification, habitat loss, deforestation, overgrazing, pesticide poisoning and climate change. The present paper addresses this issue on the basis of literature survey.
Stretchable, Transparent, Permeation Barrier Layer for Flexible Optics

Flexible, compliant permeation barrier layers are critically needed in the optics/optoelectronics industry to protect deformable, polymer‐based optical elements, such as those found in variable focus lenses. To address these needs, a transparent and deformable polymeric permeation barrier coating consisting of poly(1H,1H,6H,6H‐perfluorohexyl diacrylate) (pPFHDA) is prepared by initiated chemical vapor deposition. pPFHDA is a highly crosslinked fluoropolymer, which is deposited onto temperature‐sensitive elastomeric membranes at ambient temperature with high uniformity and conformality. This is believed to be the first demonstration of vapor deposition of the PFHDA monomer. Coatings with thicknesses nominally ranging from 200 to 750 nm are prepared and shown to be impermeable to high‐index optical fluid (polyphenyl thioether) over 2 months at 70 °C, which translates to more than 4 year lifespan at room temperature, even after being subjected to 0.26% biaxial strain. Moreover, due to its amorphous nature, the pPFHDA is transparent from wavelengths of 300–1690 nm and also thermally stable to temperatures of 300 °C. These properties should make pPFHDA coating a particularly compelling candidate for flexible optical/optoelectronic devices requiring transparent and compliant barrier layers.
Rancang Bangun Z-Source Inverter 1 Fasa Menggunakan Metode Maximum Boost Control Untuk Suplai Motor Induksi 1 Fasa

Penelitian mengenai elektronika daya semakin berkembang, salah satunya yaitu Z-source inverter sebagai alternatif konsep konversi daya guna meningkatkan tegangan tanpa adanya penambahan topologi peningkat tegangan (single stage) sebelum dihubungkan ke inverter. Penambahan topologi peningkat tegangan menimbulkan rugirugi switcing yang cukup besar yang dapat menurunkan nilai efisiensi. Oleh karena itu, diperlukan desain topologi yang dapat beroperasi sebagai boost converter serta mengurangi rugi-rugi tegangan. Z-source Inverter merupakan perkembangan dari Voltage Source Inverter dengan penambahan rangakain sumber impedansi dan kontrol penyalaan menggunakan Maximum Boost Control. Maximum Boost Control merupakan sinusoidal PWM (SPWM) yang dimodifikasi dengan menambahkan kondisi Shoot Through Zero State serta meminimalkan nilai index modulation (M) dan memaksimalkan nilai Boost (B) dengan faktor peningkat tegangan (B) sebesar 3.27 kali untuk suplai motor induksi 1 fasa. Kata kunci : motor induksi, maximum boost control, boost control, voltage source inverter, z-source inverter.
A Nationwide Survey of Tabanidae Fauna of Cameroon

Background: Tabanid flies are a neglected group of haematophagous dipterans, yet contains 4400 species, regrouped under 144 genera. They are mechanical vectors of important pathogens, including viruses, bacteria and protozoa of humans, domesticated and wild animals. As it is over 50 years since publication of a preliminary nationwide record of tabanids of Cameroon identified 84 species, updated information is provided.Objective: To provide current data on the species composition, abundance and distribution of Tabanidae of Cameroon in the 5 main agro-ecological zones (AEZs). Methods: From 2015-2017, a systematic entomological prospection using Nzi, Vavoua, Biconical and Sevi traps (N=106) was conducted in 604 trap-points over 11,448 traps days, in the 5 main AEZs of Cameroon.Results: A total of 25,280 tabanid specimens were collected, identifying 25 species with 8 not previously documented in Cameroon, including: Tabanus Latipes Macquart, 1838 (1 ♀), Tabanus ricardae Surcouf, 1906 (1 ♀), Tabanus fasciatus Fabricus, 1775 (32 ♀♀, 6♂♂), Haematopota pluvialis Linnaeus, 1758 (18 ♀♀), Haematopota decora Walker, 1850 (19 ♀♀, 3 ♂♂), Haematopota nigripennis Austen, 1914 (18 ♀♀), C. distinctipennis Austen, 1906 (47 ♀♀, 5 ♂♂) and Ancala fasciata Fabricus, 1977 (34 ♀♀, 7 ♂♂). The distribution maps of the newly identified tabanids differed between AEZs, with most from the Guinean savanna. The highest Tabanidae apparent density (ADT) was recorded in the Sudan savanna region and the mean apparent densities of species with type-localities was statistically significantly different (Student t-test=2.519, df=24, P=0.019). The highest species diversity was found in the rain forest.Conclusions: This study increased the list of Tabanidae recorded in Cameroon from 84 species in the preliminary record to 92 species, with most of the newly identified species occurring in the Guinean savanna AEZ. The high diversity and abundance of Tabanidae in the livestock/wildlife interface areas of the rain forests and Sudan savanna AEZs respectively, suggests risk of mechanical transmission risk of pathogens. Investigations of the microbiota within the Tabanidae in the different AEZs to define their role as disease vectors are proposed.
Comparison of some interval estimation methods for the parameters of the gamma distribution

Abstract Several methods of finding interval estimators of the parameters of the gamma distribution are considered in the literature. In this work we compare the following methods: Wald confidence intervals; profile likelihood intervals; Bayesian intervals using the Jeffreys prior, the reference prior when α is the parameter of interest and β the nuisance parameter, the reference prior when β is the parameter of interest and α the nuisance parameter; and three fiducial methods. The comparison is done using Montecarlo simulations, in terms of the coverage probabilities and the expected lengths of the intervals, considering small, medium and large sample sizes. As an important result of the simulations we found that the fiducial methods are the best when the sample size is very small, and as the sample size increases all the methods, except the Wald confidence intervals, have a similar behavior. An example of application is shown considering earthquake data of Mexico.
An integrated and Dynamic Wireless Intrusion Exposure Solutions based on Neural Network

Intrusion Exposure Solutions in wireless can be categorized into Outlier Intrusion Detection and Exploitation Intrusion Detection. Outlier Intrusion Detection consider the unusual identified wireless attacks. Misuse Intrusion Detection method is the identification of the known attacks. In this proposed solution, present a half breed wireless intrusion Exposure Model. To execute the wireless intrusion Exposure Model, we planned a straightforward lightweight operator. The proposed specialist identifies the most decimating and genuine assaults; Man The Middle and Denial of Provision; with the base chosen highlight set. To assess our proposed Exposure and its operator, we gather a total informational index utilizing open source assault generator virtual products. In the proposed system features are analyzed manually; it extracts the features from the raw dataset. The proposed system utilizes the LSTM systems to deal with the successive idea of the PC organize information. We dole out an edge esteem dependent on cross-approval to order whether the approaching system information succession is irregular or not. In addition, the proposed system can chip away at both stable and adjustable length information arrangement and works productively for unexpected and capricious system assaults. We at that point additionally utilize the unaided rendition of the Long Short Term Memory and Neural Networks.
An Online Reputation Analysis of the Tourism Industry in Marbella: A Preliminary Study on Open Innovation

This research analyzed the online reputation of Marbella as a tourist destination and the profiles of the reviewers according to sociodemographic characteristics. A correlational, quantitative research technique was used in this study based on the manual extraction of more than 4000 reviews generated on TripAdvisor. The data used in this study were collected from the TripAdvisor website, taking, as a sample, tourists who had visited the city in the last three years. Ratings that did not provide full data on the variables were excluded. The findings show that Marbella is considered a luxury shopping destination. The preliminary conclusions allow us to generalize about the sociodemographic profile of its tourists. The findings of the study will provide valuable information for Marbella’s Destination Management Organization (DMO). On the one hand, this study highlights the importance of ranking the attractions of the city to create better communication strategies and enhance the appeal of those attractions that receive the best ratings, establishing the true vocation of Marbella as a tourist destination. On the other hand, it provides information on what tourists perceive to be negative elements, allowing the administration to create an improvement plan. The novelty of this research paper is that it delves into Marbella’s online reputation through an analysis of specific attractions’ ratings. Areas that require further attention in future research have been highlighted, along with specific advice on each attraction that contributes to the tourist offerings of the city.
Hydrophilic treatment for strong carbon nanotube fibers

The hydrophobic surface characteristics of carbon nanotube fibers (CNTFs) limit their usage in aqueous systems. Herein, we report a surface treatment method for preparing hydrophilic CNTFs by attaching a sulfonic acid group onto the surface of CNTF. The introduction of a sulfonic acid group was examined by x-ray photoelectron spectroscopy. The contact angle between the CNTF and water droplets decreased after a surface treatment to 22.9°, implying enhanced hydrophilicity. The nanostructure of the CNTF is rarely changed during surface treatment, so the surface characteristics can be controlled without losing the advantages of direct-spun CNTFs. Water infiltration was examined by measuring the electric double-layer capacitance of CNTFs. The capacitance of surface-treated CNTFs (140 μF cm−1) was even higher than the as-prepared CNTFs (21 μF cm−1), meaning that the interfacial area between CNTFs and water electrolytes significantly increased, and water can infiltrate effectively into the nanopores of CNTFs as a result of the surface treatment. The sulfonic acid group is more efficient than the carboxyl group in improving hydrophilicity and water infiltration. The surface treatment also enhances the specific strength of the CNTFs by 50%, which is beneficial for preparing CNTF-based devices. The hydrophilic CNTFs prepared in this work will be useful in preparing CNTF-possessing functional nanoparticles or in use in CNTFs for electrochemical devices.
AN EVOLUTIONARY APPROACH TO THE DESIGN OF CONVOLUTIONAL NEURAL NETWORKS FOR HUMAN ACTIVITY RECOGNITION

Abstract Automated human activity recognition has a number of applications such as in elderly healthcare monitoring, fitness tracking and in various smart home systems that can adapt to the inhabitants’ behavior. Deep learning using Convolutional Neural Networks (CNNs) is increasingly being used for recognition of human activities. However, the CNNs performance is highly dependent on the network architecture and usually the hyper-parameters are manually selected. Various approaches have been used to automate the design of CNN architectures. The paper proposes an evolutionary based approach for optimizing the architecture of one dimensional CNNs for human activity recognition. The suggested approach is tested on three accelerometric data sets. The experimental results show that the CNNs designed using the evolutionary based approach have comparable accuracy on the WISDM Actitracker data set and significantly better performance on the Smartphone-Based Recognition of Human Activities and Postural Transitions data set compared to other deep CNNs.
Análise de padrões de acesso à memória em aplicações single threaded

Resumo. Esse trabalho busca avaliar os padrões de acesso à memória utilizando as aplicações do SPEC CPU-2017, buscando especificamente observar a regularidade dos acessos quanto aos endereços e seus saltos. O objetivo é entender o comportamento dominante nas aplicações para propor melhorias no simulador de arquiteturas e nos componentes arquiteturais, tendo como simulador alvo o Ordinary Computer Simulator (OrCS).
Progestogen metabolites for use in pregnancy monitoring of 13-lined ground squirrels (Ictidomys tridecemlineatus)

13-lined ground squirrels (TLGS; Ictidomys tridecemlineatus) are small, omnivorous, fossorial, hibernating sciurids. TLGS are seasonal induced ovulators, with a ~28-day gestation period. The main goal of this study was to ascertain whether enzyme-linked immunosorbent assay (ELISA) of TLGS fecal samples can be used to non-invasively detect pregnancy. Competitive ELISAs for progestogen metabolites were conducted on feces collected from a group of (n =13) females. Feces were collected thrice weekly during the breeding season and frozen for subsequent analysis. Competitive ELISAs were run using progesterone kits ), setting data against seven different time-points between hibernation, emergence, and litter birthdate. Eleven females produced litters. ELISA data from the (n = 2) non-pregnant females demonstrated no rise in progestogen metabolites at any point over 28 days. In contrast, data from the (n = 11) pregnant females all demonstrated a pronounced rise in progestogen metabolites, with most animals displaying progesterone withdrawal in the final week of gestation. A >20-fold rise in progestogen metabolite was observed halfway through gestation (P < 005). Analysis on litter size and progestogen metabolite concentration showed no significant correlation (r2 = −0.615). Initial correlation analysis done on sex ratio of litters vs progestogen metabolites showed no significant effect of progesterone on sex ratios (males: r2 = −0.772, females: r2 = 0.375). This work demonstrated that TLGS also undergo progesterone withdrawal about a week before parturition. We have ascertained that a commercially available progesterone assay kit can detect a significant elevation in progestogen metabolites in this species about halfway through gestation. Lay summary This research was conducted to discover whether pregnancy prediction is possible in female 13-lined ground squirrels (TLGS; a small hibernating ground squirrel named for their number of stripes). Pregnancy status in this species, we postulated, could be anticipated by generating profiles for individuals via a non-invasive technique known as fecal endocrine hormone profiling. Fecal samples were collected from 13 females thrice weekly for 4 weeks post-hibernation in the breeding season of 2016. Fecal samples were then processed and run through an assay known as an ELISA giving concentrations of hormone metabolites excreted through feces. We then set these samples against time points to develop a profile for each female. We have ascertained that elevated progesterone (potential pregnancy) can be detected by a commercially available assay kit. Understanding hormone patterns in animals gives researchers a better idea of best husbandry practices, including breeding in managed care.
Relationship between vitamin D levels and brucellosis: a case-control study from Sanandaj, Iran

Background and Objectives: Brucellosis is a zoonotic disease that is caused by the Brucella species. This disease is common in Iran and its incidence is increasing . This study measures serum vitamin D levels in patients with brucellosis and healthy people. Materials and Methods: This research was conducted as a case-control study at Tohid Hospital, Sanandaj, Iran. The calculated sample size included 90 patients in the case group and 90 patients in the control group. The measurement of vitamin D levels in the case and control groups were performed by ELISA. Results: The mean serum vitamin D level was 19.91 ng/ml in the case group and 22.87 ng/ml in the control group. (Serum vitamin D level <10 ng/mL is accepted as deficiency, 10–30 ng/mL as insufficiency, 30–100 ng/mL as sufficiency, and >100 ng/mL as toxicity). Conclusion: There was no significant difference between the two groups in terms of vitamin D deficiency (p-value=0.097).
Fabrication and Properties of Ba(Zr0.63Ce0.27)Y0.1O3-δ/ZnO Electrolyte Materials

The perovskite-type Ba(Zr0.63Ce0.27)Y0.1O3-δ (BZCY) was synthesized by solid-state reaction. Sintering behavior and electrical conductivity of the electrolyte materials were improved through optimizing the content of ZnO as sintering aid. The obvious enhancement of density of sintered body was observed due to ZnO reacting with BZCY powder. Relative densities of the samples increased with ZnO content added. A conductivity of 9.27×10-3 S/cm tested in humid hydrogen at 800°C was obtained when the ZnO content was 2 mol%. A peak power density of 12.4 mW/cm2 was delivered based on a single fuel cell with electrolyte-supported configuration.
Retraction Retraction: Research on Optimization Plan of Enterprise Employee Training under the Background of Big Data ( J. Phys.: Ser. 1852 022004 )

This article takes SMEs as the research object, and aims to study the problems and optimization schemes of SME employee training under the background of big data. This article uses a combination of literature reading, statistical analysis and questionnaire survey to investigate the employees of a certain company's specific production base, and conducts research and analysis on the company's employee training management. This article first introduces some concepts of modern enterprise training, and then analyzes the status quo of enterprise employee training. Through the interviews and questionnaires issued to the employees of the company, it analyzes the problems and causes of the company's employee training management, and provides optimized solutions for the company's employee training. The experimental results of this paper show that the optimization of corporate employee training programs under the background of big data plays a positive role in corporate management. It improves employee enthusiasm and work commitment, and increases the number of corporate trainings.
Using Molecular Dynamics Simulation to Analyze the Feasibility of Using Waste Cooking Oil as an Alternative Rejuvenator for Aged Asphalt

The purpose of this study was to investigate the regeneration effect of waste cooking oil (WCO) on aged asphalt with molecular dynamics (MD) simulation, comparing it with a rejuvenator. Firstly, the molecular models of virgin and aged asphalt were established by blending the four components of asphalt (saturate, aromatic, resin, and asphaltenes). Then, different dosages of the rejuvenator and WCO (6, 9, and 12%) were included in the aged asphalt model for its regeneration. After that, MD simulations were utilized for researching the mechanical and cohesive properties of the recycled asphalt, including its density, viscosity, cohesive energy density (CED), shear modulus (G), bulk modulus (K), and elastic modulus (E). The results show that the density values of the asphalt models were relatively lower than the existing experimental results in the literature, which is mostly attributed to the fact that the heteroatoms of the asphalt molecules were not considered in the simulation. On the other hand, the WCO addition decreased the viscosity, the shear modulus (G), the bulk modulus (K), and the elastic modulus (E) of the aged asphalt, improving its CED. Moreover, the nature of the aged asphalt was gradually restored with increasing rejuvenator or WCO contents. Compared with the rejuvenator, the viscosity of the aged asphalt was more effectively restored through adding WCO, while the effect of the CED and the mechanical properties recovery of the aged asphalt was relatively low. This implies that WCO could restore partial mechanical properties of aging asphalt, which proves the possibility of using WCO as an asphalt rejuvenator. Additionally, the MD simulation played an important role in understanding the molecular interactions among the four components of asphalt and the rejuvenator, which will serve as a guideline to better design a WCO rejuvenator and optimize its content.