Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Analysis of Cascaded Hybrid Symmetric Encryption Models

Article History: Received: 10 November 2020; Revised: 12 January 2021; Accepted: 27 January 2021; Published online: 05 April 2021 Abstract: Over a few years, there is rapid increase of exchange of data over the net has brought data confidentiality and its privacy to the fore front. Data confidentiality can be achieved by implementing cryptography algorithms during transmission of data which confirms that data remains secure and protected over an insecure network channel. In order to ensure data confidentiality and privacy, cryptography service encryption is used which makes data in unreadable form while the reverse process rearranges data in readable form and known as decryption. All encryption algorithms are intended to provide confidentiality to data, but their performance varies depending on many variables such as key size, type, number of rounds, complexity and data size used. In addition, although some encryption algorithms outperform others, they have been found to be prone to particular attacks. This paper reviews and summarizes the various common hybrid cascaded n-tier encryption models. Additionally, this paper compares and analyzes the performance of common hybrid cascaded 2-tier and 3-tier encryption models obtained during simulation based on encryption/decryption time, avalanche effect and throughput. The models compared with AES are 2-tier models (AES-TWOFISH, AES-BLOWFISH, TWOFISHAES, BLOWFISH-AES, AES-SERPENT and SERPENT-TWOFISH) and 3-tier models (DES-BLOWFISHAES, AES-TWOFISH-SERPENT and SERPENT-TWOFISH-AES). The hybrid cascaded model like AESTWOFISH, AES-BLOWFISH and SERPENT-TWOFISH-AES are better hybrid models with respect to throughput and avalanche effect.
Ammonia Volatilization Losses from Urea Applied to Wheat on a Paddy Soil in Taihu Region, China

Ammonia volatilization losses from urea applied as a basal fertilizer and a top dressing at tillering stage in a wheat field of Taihu Region, China, were measured with a micrometeorological technique. Urea as fertilizer was surface broadcast at 81 (low N) and 135 (high N) kg N ha-1 as basal at the 3-leaf stage of the wheat seedling on December 2002, and 54 (low N) and 90 (high N) kg N ha-1 as top dressing on February 2003. Ammonia volatilization losses occurred mainly in the first week after applying N fertilizer and mainly during the period after basal fertilizer application, which accounted for more than 80% of the total ammonia volatilization over the entire wheat growth period. Regression analysis showed that ammonia volatilization was affected mainly by pH and NH4+-N concentration of the surface soil and air temperature. Ammonia volatilization flux was significantly correlated with pH and NH4+-N concentration of the surface soil and with daily air average temperature and highest temperature. Thus, application of urea N fertilizer to wheat should consider the characteristics of ammonia volatilization in different periods of N application so as to reduce ammonia losses.
Revealing the Morning Transition in the Mountain Boundary Layer Using Fiber‐Optic Distributed Temperature Sensing

In the morning, the nocturnal stable boundary layer, SBL, transitions into its daytime convective counterpart substantially impacting the distribution of temperature, humidity, and pollutants. Applying distributed temperature sensing (DTS) below a tethered balloon (2–200 m) and along a tower (0–11 m), for the first time we observed three morning transitions (MTs) in a mountain boundary layer with high temporal (<10 s) and spatial (<0.25 m) resolutions. We show that MTs are best derived from a change in static stability from synchronous DTS observations. Our findings confirm that the MT occurs at the SBL top and bottom simultaneously, and identify horizontal heat advection as a main driver aiding solar surface heating in this midrange mountain valley. We conclude that heterogenous land use and mountainous topography cause complex interactions between valley‐scale and local airflows leading to thermal signatures characterized by strong, small‐scale variability. Our study highlights DTS as a crucial tool for investigating complex thermodynamic processes.
Challenges in Assessment Centres: Lessons from Experience

The success of the assessment centre (AC) approach has been widely acknowledged and its widespread practice testifies to this. In India, its adoption as a tool for HRD is increasing slowly and steadily. Its proven success is due to its strong criterion and content-related validity. However, certain challenges during design and development of AC can undermine its very strengths. Using an interpretative, qualitative approach, this article builds on the first-hand experiences of the authors as well as 26 other Indian assessors in conducting ACs to highlight the issues faced at 3 different levels of the AC methodology—design, implementation, and inferential. It also highlights the interconnectedness between these issues at various levels and suggests interventions to minimize assessment errors. The article adds on to the AC literature by detailing the challenges faced in ACs in a developing country, which had rarely been done before. This study holds significant relevance for assessors, consulting agencies providing assessment services, and even to client organizations envisaging AC for their employees.
The use of a herbicide as a tool to increase livestock consumption of medusahead (Taeniatherum caput-medusae)

Abstract Medusahead [Taeniatherum caput-medusae (L.) Nevski] is an invasive annual grass spreading into rangelands throughout the western United States. We tested cattle (Bos taurus L.) utilization of T. caput-medusae following treatment with glyphosate in two forms of its salt (potassium salt and isopropylamine salt) at three different rates of application; low (236 g ae ha-1), medium (394 g ae ha-1), and high rates (788 g ae ha-1) in eastern Washington. The herbicide was applied on April 26, 2016. A second location, northern Utah, was treated with glyphosate in the form of its isopropylamine salt at the high rate. The herbicide was applied on June 5, 2019. Cattle were allowed to start grazing T. caput-medusae 15 d after glyphosate treatment and had unlimited access to the glyphosate-treated plots for more than 85 d. The greatest utilization of T. caput-medusae occurred at the highest glyphosate application rate (P < 0.05), in Washington, with no difference between forms of glyphosate salt. Cattle also consumed T. caput-medusae at the Utah site (P < 0.05). Glyphosate treatment preserved the water-soluble carbohydrate content of T. caput-medusae at levels greater than the nontreated controls (P < 0.05) at both locations. The glyphosate treatment assisted in the increased utilization of T. caput-medusae by cattle and is a viable option for the reduction of T. caput-medusae while increasing the forage value of the weed.
Structural chirality of 
β
-Mn

A theoretical study of Bragg diffraction by an enantiomorphic pair of structures should apply to patterns gathered on \ensuremath{\beta}-Mn using resonance-enhanced x-ray diffraction. The chiral polymorph of manganese, and structurally related compounds, will be more convenient than trigonal crystals of low quartz, tellurium, and berlinite used in previous structural studies of this type, because cubic symmetry removes some complications of correction for absorption and macroscopic birefringence. Intensity of a Bragg spot engaged by circular polarization in the primary beam of photons $\mathrm{\ensuremath{\Upsilon}}(h,k,l)$ is proposed as a chiral signature of the illuminated material. The partial intensity requires a knowledge of scattering amplitudes in all four channels of polarization, which are reported as functions of an azimuthal angle (rotation of the crystal about the axis of the reflection vector). Unlike trigonal chiral crystals, $\mathrm{\ensuremath{\Upsilon}}(0,0,l)=0$ for \ensuremath{\beta}-Mn and it is ($h, k$, 0), and symmetry-related Bragg spots, that epitomize structural chirality. Specifically, reflection vectors ($h, k$, 0) with odd Miller indices and the chiral axis of \ensuremath{\beta}-Mn mesh in terms of helicity, with the corresponding \ensuremath{\Upsilon}($h, k$, 0) equal in magnitude and opposite in sign for partners in the enantiomorphic pair. Dependence of \ensuremath{\Upsilon}($h, k$, 0) on the azimuthal angle does not mirror the dyad or tetrad axes of rotation symmetry in the cubic crystal structure.
DETERMINANT OF PERFORMANCE OF STEEL INDUSTRY SUPERVISORS IN INDONESIA

The purpose of this study was to develop the determination of training factors, Job Satisfaction, Organizational Culture, Work Motivation, and Emotional Intelligence (EQ) on Supervisor Performance in the steel industry in PT. Krakatau Steel and PT. Pindad. The design of this study is Ex-Post Facto which uses causal analysis that explains the relationship between variables and the number of samples of 200 people selected through convinience sampling samples. The data collection method uses questionnairesand processed using SPPS applications and Lisrel applications to process and analyze Structural Equation Modeling data. Descriptive research results state that respondents assessment of Training, Job Satisfaction, Organizational Culture, Work Motivation, Emotional Intelligence (EQ) and Supervisor Performance has been relatively good. The results of causality research that received hypotheses are: 1) Training affects Job Satisfaction and 2) Work Motivation affects Job Satisfaction. The results of causality studies that reject hypotheses and become novelty of this study are: 1) Training has no effect on Work Motivation 2) Training has no effect on Performance 3) Emotional Intelligence has no effect on Performance 4) Emotional Intelligence has no effect on Job Satisfaction 5) Emotional Intelligence has no effect on Work Motivation 6) Organizational Culture has no effect on Work Motivation 7) Organizational Culture has no effect on Job Satisfaction 8) Organizational Culture has no effect on Performance 9) Work Motivation has no effect on Performance and 10) Job Satisfaction has no effect on Performance.
The prevalence and characteristics of adults with latent tuberculous infection in the United States and the implications for healthcare in Texas

The Centers for Disease Control and Prevention reported 8,916 cases of tuberculosis in 2019. Reducing the number of cases of active tuberculosis requires identification of patients with latent tuberculous infections (LTBI). Optimal screening for LTBI requires information about the demographics and characteristics of people who are more likely to have had tuberculous infection. Information from the 2011–2012 National Health and Nutrition Examination Survey (NHANES) was used to determine the number and characteristics of adults from a representative sample of the United States who had LTBI. Latent tuberculous infection was identified either by a positive skin test or by a positive QuantiFERON blood test. Information about the number of patients with active tuberculosis in Texas was determined from reports from the Texas State Department of Health Services. The NHANES database for the years 2011-2012 included 5,684 adults. Participants with a positive QuantiFERON blood test were more likely in the age group 45-64, male, foreign born, and have less than a high school education. Participants with a positive skin test had similar characteristics. Participants who had both a positive skin test and positive QuantiFERON test were more likely to be in the age group 45-64, males, foreign born, and Hispanic. In addition, they had diabetes, self-reported fair/poor health, and an educational level less than high school. In the State of Texas tuberculosis occurred more frequently in individuals older than 75 who were male and were not US born Texas residents. Important clinical diagnoses included diabetes, alcohol abuse, correctional facility residence, non-injection drug use, positive HIV status, and homelessness. Information from the NHANES study and from the State Department of Health Services in Texas provides information needed to develop screening programs for latent tuberculosis and active tuberculosis.
Graphene-Induced Substrate Decoupling and Ideal Doping of a Self-Assembled Iron-phthalocyanine Single Layer

Iron-phthalocyanine molecules self-assemble on the moire pattern of graphene/Ir(111) as a flat and weakly interacting layer, as determined by core-level photoemission and absorption spectroscopy. The graphene buffer layer decouples the FePc two-dimensional structure from the underlying metal; the electronic structure of the FePc molecular macrocycles is preserved; and the Fe-L2,3 edges present narrower and slightly modified resonances at the FePc single-layer coverage with respect to a thin film. The FePc layer induces a slight electron doping to the Ir-supported graphene resulting in the Dirac cone position expected for an ideal free-standing-like graphene layer with the standard Fermi velocity.
Cardenolides and ${\beta}$-Sitosterol Glucoside from Pergularia tomentosa L.

The aerial parts of Pergularia tomentosa L. afforded three cardenolides, desglucouzarin, coroglaucigenin and uzarigenin, in addition to β-sitosterol glucoside. The isolated compounds were identified by physical and spectral means, including IR, UV, [α]_D 1D-, 2D-NMR and FAB-MS experiments. The cardenolides, ghalakinoside, calactin and pergularoside previously reported from roots, were also identified in the aerial parts.
Long-Range Ordering of Symmetric Block Copolymer Domains by Chaining of Superparamagnetic Nanoparticles in External Magnetic Fields

A new method to achieve long-range orientational order in symmetric diblock copolymer nanodomains through the alignment and chaining of superparamagnetic nanoparticles in a magnetic field is investigated computationally and theoretically. The effects of nanoparticle size, volume fraction, and magnetization strength are explored using the hybrid particle field (HPF) technique for particles that selectively segregate into one domain of a symmetric diblock copolymer assembly. A critical selectivity of the particles for one nanodomain is observed, above which strong alignment results and below which comparatively disordered structures are formed. The 2D simulations reveal that, for a given nanoparticle volume fraction, only a nanoparticle size commensurate with the block copolymer domain spacing yields well-aligned nanostructures. Nanoparticles significantly larger than the domain spacing break the symmetry of the lamellar phase and result in poor alignment, while high defect densities are observed for smalle.
Evaluating security and privacy issues of social networks based information systems in Industry 4.0

ABSTRACT The present study aimed to analyse the main risks related to security and privacy of social networks based information systems in Industry 4.0. The methodology we used is an innovative exploratory data-driven process divided into three steps. First, we performed sentiment analysis to divide the database composed of 67, 206 tweets into feelings. Second, we applied a topic-modelling algorithm to extract topics. Third, we applied textual analysis to collect insights. A total of 10 topics related to security and privacy issues were identified as results. The paper concludes with a discussion of the challenges and main concerns related to the identified topics.
What does it Mean to be a Man? Trans Masculinities, Bodily Practices, and Reflexive Embodiment

Confronted with the centrality of the body for trans-masculine individuals interviewed in the United Kingdom and Portugal, we explore how bodily-reflexive practices are central for doing masculinity. Following Connell’s early insight that bodies needed to come back to the political and sociological agendas, we propose that bodily-reflexive practice is a concept suited to account for the production of trans-masculinities. Although multiple, the journeys of trans-masculine individuals demonstrate how bodily experiences shape and redefine masculinities in ways that illuminate the nexus between bodies, embodiments, and discursive enactments of masculinity. Rather than oppositions between bodily conformity to and transgression of the norms of hegemonic masculinity, often encountered in idealizations of the medicalized transsexual against the genderqueer rebel, lived bodily experiences shape masculinities beyond linear oppositions. Tensions between natural and technological, material and discursive, or feminine and masculine were keys for understanding trans-masculine narratives about the body, embodiment, and identity.
Desenvolvimento de ferramentas e métodos automatizados para simulação de projeto de computadores quânticos

Resumo. O principal objetivo deste trabalho é o desenvolvimento de ferramentas e métodos automatizados que auxiliem na simulação para projetos de computadores quânticos. Com a finalidade de alcançar o objetivo, esta pesquisa inclui, a criação de circuitos quânticos, o cálculo do near time (redução do tempo entre a ocorrência de um evento e o uso dos dados processados), a criação e suporte de transpiladores e compiladores, por último, a implementação e uso de algoritmos clássicos para a melhoria da computação quântica.
Likely Concomitance of Projections of Future Climate Change and Status of the Paris Agreement: A Perception

In this document, comprehension of prospective association of projections of future climate change and uncertainties in the status of the Paris agreement is presented. A need to address interrelated uncertainty arising from different potential sources is explored. Apart from that, other potential challenges and high-end uncertainties which been further adding to the path of the Paris agreement are discussed. It has been examined that some of the revealed features like regional differences in the projections of future climate change may meddle in regulating the spatial allocation of natural resources. Recall here, natural resources are of vital importance to the formulation and implementation of policies to tackle climate change. We emphasized the relevance of these attributes, i.e., regional differences in the projections of climate change, in the successful implementation of the Paris agreement. We proposed that because of these aforementioned attributes, dissent in the world’s countries to unite for Paris agreement is likely. Countries getting benefited by rising temperatures may not encourage immediate efforts to impede rising temperature by curbing CO2 emission, if they choose to be prejudiced by favoring Gross Domestic Product (GDP) growth or by reluctantly refraining from the Paris agreement’s success. A take on this is that it may lead us towards the doldrums, i.e., a roadblock or uncertainty of the Paris climate agreement’s success and future climate projection assertion. In terse it simply implies that we are still a good way off meeting the goals of the Paris Agreement. Additionally, the roadblocks in the Paris agreement leading to uncertainties in future climate predictions will also be notified in the future. We feel that a novel robust pragmatic framework is needed to keep all decision-makers under one umbrella of hope and spirit which can essentially enable us to safeguard the climate system from meddling with disastrous carbon emissions.
Distributed 3-D Path Planning for Multi-UAVs with Full Area Surveillance Based on Particle Swarm Optimization

Collision-free distributed path planning for the swarm of unmanned aerial vehicles (UAVs) in a stochastic and dynamic environment is an emerging and challenging subject for research in the field of a communication system. Monitoring the methods and approaches for multi-UAVs with full area surveillance is needed in both military and civilian applications, in order to protect human beings and infrastructure, as well as their social security. To perform the path planning for multiple unmanned aerial vehicles, we propose a trajectory planner based on Particle Swarm Optimization (PSO) algorithm to derive a distributed full coverage optimal path planning, and a trajectory planner is developed using a dynamic fitness function. In this paper, to obtain dynamic fitness, we implemented the PSO algorithm independently in each UAV, by maximizing the fitness function and minimizing the cost function. Simulation results show that the proposed distributed path planning algorithm generates feasible optimal trajectories and update maps for the swarm of UAVs to surveil the entire area of interest.
The Impact of Organizational Politics on Employee Turnover Intentions in Hotels and Travel Agencies in Egypt

The main objective of this study was to investigate the relationship between the dimensions of organizational politics and turnover intentions in hotels and travel agencies in Egypt. The benefit of examining organization politics and perception of politics derives from their bad impact on employees performance and organizational outcomes. For this purpose, a model of organizational politics and its three antecedents was developed. The study is based on a quantitative methodology where data were collected from 20 five-star hotels and 20 travel agencies located in the Greater Cairo region in Egypt. A total of 250 surveys were valid for the final data analysis. Statistical Packages for Social Science (SPSS) software program was used to test the theoretical model. It can be concluded that there was a significant positive relationship between organizational politics and turnover intentions. The findings also revealed that there was a significant positive relationship between general political behavior and turnover intentions. On the other hand, there was no significant relationship between pay and promotion, and turnover intentions. The results of this study may assist management to create good communication between managers and their workers which may reduce politics and intent to leave.