Miracle-dz/UniFAR-FTUs huggingface dataset:
Microbial and heavy metals examination of Expellers groundnut (Arachis hypogaea L.) oil

This study was designed to determine the microbial and heavy metal contamination level in expeller’s groundnut oil. Ten samples of groundnut oil were collected, labeled from E1 to E10 and the microbial and heavy metals examination tests were laboratory assessed. The study results showed that, the Total Count of Bacteria (TCB) for all oil Expellers samples was 33.8 Colony Forming Unit (Cfu)/ml oil. The highestt value was (111 Cfu/ml) in E10 and the lowest value (7 Cfu/ml oil) in E1. Concerning the Total Count of Fungal (TCF) for all samples was 31.4 and 6.75 Cfu/1ml for the yeast and mould respectively. Yeasts highest count was 109 Cfu/ml in E10 and the lowest count was 6 Cfu/ml in E1. while moulds highest count was 18 Cfu/ml in E10 and the lowest number of 2 Cfu/ml oil was found in E2. The bacterial detection test of Staph, Bacillus, Coliform, and E.Coli in the oils Expellers explored that no bacterial presence in E1, E3, and E7 but, the four types were recorded in E5, E9 and E10. On the other hand E2, E6 and E8 showed positive detection to Staph and Bacillus, while E4 was positive to Bacillus detection only. The Concentration of Iron (Fe) on expeller oil samples (E2, E3, E4, E6, E7, E8, E9 and E10) was higher than the minimum specification limit of 5meq/kg for heavy metals, but E1 and E5 were within the minimum specification limit. All expellers oil samples were higher than acceptable limit for Copper (Cu) concentration that established by SSMO and Codex alimentary for heavy metals of less than 0.1meq/kg. As well as, the Concentration value of Lead (Pb) all expeller oil samples were above the specification limit of heavy metals that should not be more than 0.1meq/kg.
Calculation method and mechanism of ultimate side resistance of screw pile

Abstract A calculation method of the ultimate side resistance of screw pile is established by regarding the soil slip surface under screw thread as a logarithmic slip surface, and its accuracy is proved by a model test and a situ test. The shape of soil slip surface around a screw pile has three possible types, including a cylinder with a diameter equal to the pile’s outer diameter, intersected and separated of logarithmic spiral. The shape of the screw pile is determined by the first critical pitch and the second critical pitch. The screw thread geometry including screw pitch, the effective screw thread width and the dip angle of thread surface have a significant effect on the side resistance enhancement factor of screw pile. No matter how the form of screw thread is changed, the side resistance enhancement factor is always larger when the pitch is taken as the second critical pitch. To improve the ultimate lateral resistance of a screw pile, a smaller dip angle of thread surface and a larger effective screw thread width should be selected to obtain a larger second critical pitch, and screw pitch should be selected as close as possible to the second critical pitch.
Stochastic Digital-Twin Service Demand With Edge Response: An Incentive-Based Congestion Control Approach

The emergence of Digital Twin Edge Networks (DTENs) achieves the mapping of real physical entities to digital models of cyberspace. By offloading real-time mobile data to Mobile Edge Computing (MEC) servers for processing and modeling, communication-efficient Digital Twin (DT) services could be achieved. However, the spatio-temporal dynamic DT service demand stochastically generated by mobile users easily causes service congestion, which challenges the long-term DT service stability. Meanwhile, current DT services still lack long-term effective incentive designs for participants. To solve these issues, we design an incentive-based congestion control scheme for stochastic demand response in DTENs. First, we adopt the Lyapunov optimization theory to decompose the long-term congestion control decision into a sequence of online edge association decisions, with no need for future system information. We then present a contract-based incentive design to optimize the long-term profit of the DT service provider, comprehensively considering the delay sensitivity, incentive compatibility, and individual rationality. Finally, experimental simulations are carried out to verify the superiority of the proposed scheme with the base station dataset of Shanghai Telecom. Theoretical and simulation analysis demonstrates that compared with benchmarks, our scheme could effectively avoid long-term service congestion with an arbitrarily near-optimal profit.
Structural Alternation in Heat Shock Proteins of Activated Macrophages

The inflammatory response of macrophages is an orderly and complex process under strict regulation accompanied by drastic changes in morphology and functions. It is predicted that proteins will undergo structural changes during these finely regulated processes. However, changes in structural proteome in macrophages during the inflammatory response remain poorly characterized. In the present study, we applied limited proteolysis coupled mass spectrometry (LiP-MS) to identify proteome-wide structural changes in lipopolysaccharide (LPS)-activated macrophages. We identified 386 structure-specific proteolytic fingerprints from 230 proteins. Using the Gene Ontology (GO) biological process enrichment, we discovered that proteins with altered structures were enriched into protein folding-related terms, in which HSP60 was ranked as the most changed protein. We verified the structural changes in HSP60 by using cellular thermal shift assay (CETSA) and native CETSA. Our results showed that the thermal stability of HSP60 was enhanced in activated macrophages and formed an HSP10-less complex. In conclusion, we demonstrate that in situ structural systems biology is an effective method to characterize proteomic structural changes and reveal that the structures of chaperone proteins vary significantly during macrophage activation.
Modified boost converter with continuous inductor current mode and ripple free input current

The boost topology is very popular in industry. However, the input inductor current ripple affects its ability to meet EMI requirements. A ripple-free input inductor current boost topology operating in continuous inductor current mode is introduced in this paper. It is of simple topology and simple control strategy (the same as PWM). The proposed boost topology retains the advantages of the conventional boost topology, but with ripple-free input current. Simulation and experimental results are presented to verify the predicted theory.
Posttreatment Effects on the Crystal Structure and Superconductivity of Ca-Free Double-Layered Cuprate Sr2SrCu2O4+yF2–y

We report the effects of low-temperature postannealing on the structural and superconducting properties of the recently discovered Ca-free double-layered cuprate, Sr2SrCu2O4+yF2–y. Although the as-synthesized sample prepared under high pressure has a tetragonal structure with a rock-salt-type blocking layer (the so-called T-phase), we found that the symmetry of the structure lowered to that of an orthorhombic system when annealed with CuF2. The structural refinements reveal that such a topochemical reaction leads not only to the removal of excess O from the apical site but also to the intercalation of extra F into the interstitial site. The orthorhombic phase exhibits bulk superconductivity at a critical temperature of 107 K, which is significantly higher than that of the T-phase (~50 K). Meanwhile, the T-phase turns into another structure possessing a fluorite-type blocking layer without apical fluorine (known as the T ́-phase) by annealing without CuF2. Density functional theory calculations show that the T ́-phase is more stable than the T-phase. This is the first report on the formation of a T ́-type double-layered cuprate. Furthermore, structural stability of the three phases of Sr2SrCu2O4+yF2–y is discussed in terms of lattice matching between the blocking and conducting layers.
Progress towards the Automatic Assembly of Carbon Nanotubes by Dielectrophoresis

Developing automatic assembly techniques is essential for the application of advanced nanomaterials such as carbon nanotubes (CNTs). This paper presents a review of current research progress towards the automatic assembly of CNTs by dielectrophoresis (DEP). The mechanisms and experimental set-up of three methods for controlled DEP assembly of CNTs are introduced. One is using a limiting resistor to control the electric field after the deposition of a single CNT or a bundle of CNTs. The other two measure electrode gap electrical signals, gap impedance and current respectively, indicating CNT connections to stop the DEP process. The real-time electrical signal monitoring during the DEP process and controlling the DEP using the detected signals represent a research direction in the manipulation of a wide category of nanomaterials and will speed up the industrial applications of the materials.
Presenteeism of Restaurants Employees: Interaction Effects of Responsible Leadership, Organizational Commitment and Turnover Intentions

(JAAUTH) Vol. 21, No. 5, (December 2021), PP. 131-155. Contemporary leaders are often under growing pressure to carry out their responsibilities with a greater sense of urgency. Responsible leadership (RL) represents an interesting and significant integration for organizational responsibility. Social responsibility has gained great interest but, there hasn't been much focus on the impact of RL on employees’ outcomes such as presenteeism (PT), organizational commitment (OC), and turnover intentions (TI). PT or going to work while sick and can't perform at full capacity causes a loss of production and a severe financial impact on organizations. The objective of the current research was to assess how the PT of restaurant employees interacts with RL, OC, and TI. Data were obtained from 35 fine dining restaurants in Egypt, Greater Cairo area. A total of 440 questionnaires were gathered in all. For the final analysis of data, only 385 surveys were acceptable. The findings showed that PT, RL, TI all had a significant positive correlation. Furthermore, a significant negative correlation between PT and OC was also stated.
New Strategy for Creating TiO2 Thin Films with Embedded Au Nanoparticles

This paper proposes a new strategy for producing thin films of TiO2 with embedded gold nanoparticles (TiO2/AuNP). One of the main tasks was the synthesis of a stable dispersion of TiO2 and gold nanoparticles in an aqueous solution of ethylene glycol, suitable for inkjet printing—ink with complex gold nanoparticles (AuCNP ink). The AuCNP were synthesized by a reduction from tetrachloroauric acid in the presence of TiO2 nanoparticles and ethylene glycol (EG). The final formation of TiO2/AuNP films occurred during the annealing of AuCNP layers, inkjet printed on a glass substrate. The TiO2/AuNP films demonstrate absorbance in the yellow-green range due to the localized surface plasmon resonance (LSPR) and are promising for solar cell application.
Expanded graphite-based membrane for water desalination

For the first time, the expanded graphite (EG) was used as membrane-based for the desalination application. The EG is fabricated at room temperature using the optimizing weight ratio between ammonium persulfate and sulfuric acid. The highest expansion grade is 241 mL g–1 which is corresponded to the graphite with 305 μm of size, and the ratio between salt (NH4)2S2O8 and acid H2SO4 is 5:4. The conductivity of the filtered salt solution is 0.35 mS cm–1, demonstrating two conductivity orders inferior to the initial salt solution 0.5 M (17.7 mS cm–1). Besides, the filtered salt solution conductivity is located in the standard range of tap water. The salt removal capacity of EG is 9.32 mg g–1 (after filtering 500 mL of NaCl 0.5 M). This desalination capacity is lower than that of the 3D graphene-based membrane reported in the literature, 71.4 mg g–1 [1]. However, it is necessary to point out the preparation cost of EG is negligible compared with the cost preparation of 3D graphene membrane. Still, it is relatively higher than other desalination-based membranes reported in the literature, such as activated carbon, 2–5 mg g–1 [2]. The desalination result can be explained by the 2-dimensional structure of EG, which can provide an excellent molecular and ionic sieving effect. However, the EG exhibits low desalination stability due to the swell effect when it is contacted to an aqueous solution.
Destination Emotions, Loneliness, and Reasons to Travel: Predictors and Moderators of Tourism Well-being

This study aims to determine predictors and moderators of tourism well-being among destination emotions (DES) (total, joy, love, and positive surprise), loneliness (UCLA) (total, affinities, and isolation) and reasons to travel. Regression and moderation analyses were carried out; factor analysis (exploratory and confirmatory) to validate the emotions destination scale were performed. Marital status, family as a reason to travel, love (DES), positive surprise (DES), and affinities (UCLA) explain tourism well-being variance. Of the motivations for traveling, only family and work proved to moderate the relationship between DES and its subscales and tourism well-being. Traveling in Portugal or abroad was a moderator in the relationship between DES and its subscales and tourism well-being. The relationship between destination emotions and tourism well-being is stronger when people do not travel for family or work; this relationship is also stronger when people travel within Portugal than when traveling outside Portugal.
Mest en macht : een politiek-sociologische studie naar belangenbehartiging en beleidsvorming inzake de mestproblematiek in Nederland vanaf 1970

This study seeks to show that the 'manure problem' has been a catalyst in the transformation of the agricultural policy community. Its solid corporatist structure, developed in the postwar reconstruction period and flourishing in the 1960s and 1970s, has been weakened by growing external pressure and internal dissent. Although the first warnings about the pollutant effects of manure surpluses were already being ventilated at the end of the 1960s, the development of manure legislation only began in 1987. Delaying tactics used by both the Ministry of Agriculture and the agricultural lobby had led to a tremendous accumulation of problems. The efforts to make up for lost time have provoked great tension not only between the government and the farmers' unions but also inside the state apparatus - between the Ministries of Agriculture and Environment - and within the agricultural lobby. As a result, the neo-corporatist system in agriculture is gradually being replaced by a set up of greater openness and pluriformity. Central regulation by government is giving way to 'self-regulation' by agricultural organizations which requires demands being made on the sense of responsibility and the initiative of individual farmers.
‘They think I’m really cool and nice’: The impact of Internet support on the social networks and loneliness of young people with disabilities.

Today, young people use the Internet for social networking, learning and recreation. Young people with disabilities have fewer friends and reduced social networks. The aim was to investigate the effectiveness of one-on-one training to increase the use of the Internet by young people with disabilities to enhance their social networks and reduce loneliness. Eighteen young people aged 10-18 years with cerebral palsy, physical disability or acquired brain injury completed a social networks inventory and level of loneliness measure. Participants received assistive technology and training at their home to learn to use the Internet for building social networks. Post intervention testing revealed that the number of online communication partners increased significantly; however, there was no difference in measured levels of loneliness. Future research with larger number of participants with disabilities needs to be followed up longitudinally including investigating the meaning and role of online social connections for this group
Determining the risk of disease based on Body Mass Index in higher education

Abstract. At international and national levels, there is a decline in physical activity because technology has become increasingly present in each person’s life, as evidenced by the growing interest in new developments in the field. We believe that giving up exercise will lead to increased indicators of growth and development but also to the emergence of health problems. The current paper aims to determine the body mass index (BMI) of students from two universities, one with a sports profile - National University of Physical Education and Sport, and the other, a non-sports profile higher education establishment - National University of Arts, by performing anthropometric measurements such as height and weight. The purpose of this study is to place students in the category corresponding to their body mass index and determine their risk of disease. This experimental research includes 323 first-year students from the two aforementioned universities in Bucharest. The research methods used are: literature review, anthropometric measurements, mathematical and statistical method, graphical method. Analysis of the collected data reveals differences between the students of the two universities. After interpreting the anthropometric data and calculating the body mass index, the study participants were included in the category corresponding to their risk of disease.
Prediction of Concrete Strength Using Fuzzy Neural Networks

The purpose of this paper is to develop the Ⅰ-PreConS (Intelligent PREdiction system of CONcrete Strength) that predicts the compressive strength of concrete to improve the accuracy of concrete undamaged inspection. For this purpose, the system is developed with adaptive neuro－fuzzy inference system (ANFIS) that can learn cube test results as training patterns. ANFIS does not need a specific equation form differ from traditional prediction models. Instead of that, it needs enough input-output data. Also, it can continuously re-train the new data, so that it can conveniently adapt to new data. In the study, adaptive neuro－fuzzy inference system (ANFIS) based on Takagi-Sugeno rules is built up to prediction concrete strength. According to the expert experience, the relationship between the rebound value and concrete strength tends to power function. So the common logarithms of rebound value and strength value are used as the inputs and outputs of the ANFIS. System parameter sets are iteratively adjusted according to input and output data samples by a hybrid-learning algorithm. In the system, in order to improve of the ANFIS, condition parameter sets can be determined by the back propagation gradient descent method and conclusion parameter sets can be determined by the least squares method. As a result, the concrete strength can be inferred by the fuzzy inference. The method takes full advantage of the characteristics of the abilities of Fuzzy Neural Networks (FNN) including automatic learning, generation and fuzzy logic inference. The experiment shows that the average relative error of the predicted results is 10.316% and relative standard error is 12.895% over all the 508 samples, which are satisfied with the requirements of practical engineering. The ANFIS-based model is very efficient for prediction the compressive strength of in-service concrete.
High-sensitivity capacitive sensing interfacing circuit for monolithic CMOS M/NEMS resonators

A simple and high-sensitivity 0.35 µm CMOS readout circuit for resonant M/NEMS with capacitive sensing is presented. The proposed readout scheme presents an equivalent transimpedance gain of 140 dB Ω (at 1 MHz) and an input referred noise of 29 nV/Hz1/2. Detection of submicrometre-scale cantilever vibrations in the MHz range is demonstrated with a displacement resolution of 33 fm/Hz1/2.
Prediction of Box Office Success of Movies Using Hype Analysis of Twitter Data

Internet and Social Networking play a vital role in research field. It contains a massive diction about what people think. Twitter, is a micro blogging site where people post their views and preferences related to their interests. In this project, we try to predict the box office success of the movie by analyzing the hype created amongst the mob. We use sentiment analysis of Twitter data for the same. We are also considering t he distribution area of the movie along with its genre. To display t he output we plot the graph which depicts the success ratio of th e movie.
A Mathematical Model for Ranking High-Level User Interface Regression Tests

A mathematical model has been developed for ranking high-level verification scenarios (manual tests) when forming a pool of regression tests. The model takes into account the significance of selection methods based on the analysis of previous runs of regression tests, the opinion of the expert group, the specifics of the changes made in the current release, and also has the ability to use an arbitrary number of additional test selection methods. The model can be used to analyze historical data of regression test runs using neural networks in order to identify the most effective approaches to selecting tests for regression testing. The model can be implemented in a software package that interacts with various testing management systems in order to significantly accelerate the formation of a pool of regression tests with a different approach to selection, which can be used by a test engineer of average qualification and without a deep understanding of the features and architecture of the information system being developed.
The xylem of anisohydric Quercus alba L. is more vulnerable to embolism than isohydric co-dominants.

The coordination of plant leaf water potential (ΨL ) regulation and xylem vulnerability to embolism is fundamental for understanding the tradeoffs between carbon uptake and risk of hydraulic damage. There is a general consensus that trees with vulnerable xylem more conservatively regulate ΨL than plants with resistant xylem. We evaluated if this paradigm applied to three important eastern US temperate tree species, Quercus alba L. , Acer saccharum Marsh. , and Liriodendron tulipifera L. , by synthesizing 1600 ΨL observations, 122 xylem embolism curves, and xylem anatomical measurements across ten forests spanning pronounced hydroclimatological gradients and ages. We found that, unexpectedly, the species with the most vulnerable xylem (Q. alba) regulated ΨL less strictly than the other species. This relationship was found across all sites, such that coordination among traits was largely unaffected by climate and stand age. Quercus species are perceived to be among the most drought tolerant temperate US forest species; however, our results suggest their relatively loose ΨL regulation in response to hydrologic stress occurrs with a substantial hydraulic cost that may expose them to novel risks in a more drought-prone future. This article is protected by copyright. All rights reserved.
Web-Based Instructional Tools for Heat and Mass Transfer

This paper demonstrates four web-based instructional tools for heat and mass transfer based on JAVA applets. These tools are closely related to topics in two chemical engineering courses: transport phenomena and chemical reactor design. They simulate four classic problems which are one dimensional unsteady mass diffusion, one dimensional unsteady-state heat conduction in slabs, cylinders and spheres, Heisler charts for unsteady state heat transfer, and reaction and diffusion in porous catalytic substrates. They provide students with a dynamic observation of heat and mass transfer process unavailable in traditional textbooks. Educators and instructors can use these tools to enhance students understanding of the concepts of heat and mass transfer.