Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of vorticity in maximal swimming propulsion

Experimental and theoretical results on the propulsion of swimrners are presented with an emphasis on the specific characteristics of the wakes produced by the swimmers in the water. We introduce the subject revising sorne of the previous work on the fruitless controversy between Drag and Lift cornponents of the forces induced by swirnmers hands. After presenting sorne experimental results on Underwater Oscillatory Swimrning we discuss in detail the complex nature of the swimrners body, feet and hand wakes and show the role of vortices. Severa! basic recornmendations rnay be deduced comparing animal and human swimming. One is the need to reduce Strouhal numbers to increase propulsion, the other one is to generate wakes that maximize momenturn and rninimize energy, this is di scussed in terms of the fluid topological properties of basic vortical flow configurations.
Teechain

Blockchain protocols such as Bitcoin [4] exchange payments in a secure and decentralized manner, but their performance is limited due to their need to achieve consensus across a network [1], and each node in the network needs to process the entire blockchain, which introduces major storage limitations. Cryptographic payment channels [2, 5] have been proposed as a second tier on top of the blockchain, allowing efficient direct payments between parties, and the removal of many payments from the blockchain to only the participating parties of the channel. Existing payment channel protocols, however, have two limitations: (i) their security relies on synchronous access to the underlying blockchain, which an attacker may prevent; and (ii) they suffer from long channel establishment times when placing collateral deposits on the blockchain.
Effect of grape seed proanthocyanidin extract in peripheral blood mononuclear cells of severe asthmatic patients

Backgroud To explore the Effect of grape seed proanthocyanidin extract（GSPE） in peripheral blood mononuclear cells of severe asthmatic patients. Methods 40 severe asthmatic patients were randomly and averagely divided into 2 groups: DXM group (n=20) and GSPE+DXM group (n=20), and 20 healthy volunteers as control gorup. Heparinized peripheral venous blood from each subject was collected in a sterile vacuum tube. The levels of interleukin (IL)-8 and monocyte chemotactic protein (MCP)-1 were detected by ELISA. The protein and mRNA expressions of Nuclear factor erythroid 2-related factor 2 (Nrf2), glutamatecysteine ligase modifier subunit (GCLM) inducible nitric oxide synthase (iNOS) and inactivation of histone deacetylase-2 (HDAC2) were detected by Western blot and qRT-PCR respectively. Glutathion(GSH) was measured by using Glutathione Fluorometric Detection Kit, and Nrf2-ARE binding ability was measured by using TransAM Nrf2 Transcription Factor ELISA Kit. Results The results showed that the levels of IL-8 and MCP-1 in normal control group were lower than those in severe asthma group (P <0.05). Treatment with GSPE+DXM reduced the levels of IL-8 and MCP-1 significantly when compared with DXM only ( P <0.05). The mRNA expression of iNOS in DXM group was significantly higher than that in control group. However, after adding GSPE treatment, the expression dramatically decreased ( P <0.001). On the contrary, lower mRNA expressions of Nrf2, GCLM and HDAC2 were found in DXM group than in control group ( P <0.001). Accordingly, when treated with GSPE, these expressions elevated and reached a statistical significance ( P <0.05). Consistently, the results from western blot analysis confirmed the role of GSPE on the protein expressions of iNOS, Nrf2, GCLM and HDAC2 in PBMCs of patients with severe asthma ( P <0.001). The PBMCs from patients with severe asthma exhibited lower Nrf2-ARE binding ability and produced less GSH than normal controls. GSPE treatment effectively augmented the Nrf2-ARE binding ability and the expression of GSH, which demonstrated the biological antioxidant potential of GSPE ( P <0.001). Conclusion GSPE can alleviate glucocorticoid resistance by regulating Nrf2-iNOS-HDAC2 signaling pathway in severe asthma, suggesting that GSPE have potential clinical application prospects in the treatment of severe asthma.
Pemodelan Tiga Dimensi (3D) Ikatan Hasil Docking Molekular Turunan Diketopiperazin (DKP) Dengan Bcl-2 Pada Sel Mcf-7

Kanker payudara merupakan tumor ganas yang dimulai dari sekelompok sel-sel kanker yang dapat tumbuh menyerang jaringan sekitarnya atau menyebar (metastasis) ke jaringan lain pada tubuh sebagai akibat dari ketidaknormalan proses apoptosis. Apoptosis dikendalikan oleh keluarga protein Bcl-2 yang terdiri dari pro-apoptosis seperti Bax dan Bak dan anti-apoptosis seperti Bcl-2 dan Bcl-XL. Sel kanker payudara MCF-7 tidak mengekspresikan caspase-3 sehingga upaya untuk menekan ekspresi Bcl-2 perlu dilakukan agar sel MCF-7 tidak terus-menerus membelah. Pencarian senyawa baru pada proses ini menggunakan metode molecular docking dengan software PyRx AutoDock-Vina. Proses preparasi ligan dan protein terlebih dahulu dilakukan, kemudian validasi metode penelitian yang digunakan menggunakan ligan DRO dengan hasil RMSD 0,054 dan nilai -6,2 Kkal/mol, preparasi ligan uji dan ligan pembanding, selanjutnya docking terhadap ligan-ligan tersebut. Proses ini menunjukkan interaksi antara ligan dan protein yang diamati untuk kemudian digunakan sebagai dasar penyusunan senyawa baru. Senyawa baru tersebut di-docking dan diamati kembali interaksi antara ligan dan protein. Nilai ikatan energi ligan baru nDRO -7,1 Kkal/mol, n715 -6,7 Kkal/mol; n099 -6,7 kkal/mol; n236 -6,4 Kkal/mol; n421 -6,1 Kkal/mol dan nDKP2 -6,4 Kkal/mol. Hasil tersebut menunjukkan turunan ligan DRO dan keempat senyawa lainnya memiliki nilai energi ikatan lebih baik dari ligan DRO, sehingga menunjukkan potensi inhibisi aktivitas berlebih Bcl-2 secara molecular docking.
Comparison of Stress Fields near Longitudinal Construction Joints of Tied and Doweled Sections in Portland Cement Concrete Pavements

In Portland cement concrete (PCC) pavements, tie bars are commonly used at longitudinal construction joints (LCJs) to prevent the lanes from separating. Meanwhile, the increase in multiple lanes due to greater traffic volumes has raised concerns about potential longitudinal cracking; this has led to the use of dowel bars instead of tie bars at LCJs. However, there is a paucity of studies focused on the comparison between the behaviors of concrete pavement based on the restrained conditions provided by tie and dowel bars at LCJs. In this study, we investigated the effects of the placement of tie and dowel bars at LCJs on the potential for longitudinal cracking in response to the increase in concrete stress that may occur when the lanes are tied together in PCC pavements. Field testing verified that the variation in concrete strain was more restrained in the case of a tie bar than a dowel bar, whereas it resulted in higher stress in the concrete element in the tie bar section. However, the use of dowel bars caused more movement in the transverse direction at LCJs as compared with tie bars. Thus, our results indicate that using dowel bars reduces the potential for longitudinal cracking; however, it may increase the potential for lane separation.
Stochastic Nature of Traffic Flow and Probabilistic Model of Spontaneous Traffic Breakdown

Traffic breakdown can be defined as spontaneous or induced breakdown according to internal or external factors. In the paper, a new probabilistic model is proposed to display spontaneous breakdown by tracking the evolution of an introduced disturbance in a straight, homogeneous freeway section. Time headway and driver behaviors with stochastic nature are determinant factors of a disturbance’s breakdown or recovery. Two types of drivers, “adventurers” and “conservatives”, and two styles of reacting behaviors, “copy” and “shift” are defined to characterize the driving behavior. Time headway distribution for arriving traffic and discharging traffic are distinguished for the existence of “hysteresis” phenomenon. The probability of breakdown (PB) is calculated by Monte Carlo simulation, and the calculated PB is a monotonically increasing function of freeway flow with an “S” shape. PB is influenced by several parameters in simulation, and their influences are analyzed. The proposed model can explain the changes of a disturbance’s spatial extent and its magnitude, which is an improvement to the car-following theory based models.
FROM VICTIMS TO VICTORS: UNDERSTANDING AND CHANGING THE CULTURE OF THE SUGAR INDUSTRY IN THE HERBERT

A COMMONLY accepted definition of culture is ‘how we do things around here’. In 2004, leaders representing all facets of the sugar industry recognised that our culture may be contributing, in part, to the difficulties we faced. More importantly, the leaders recognised that culture led us to act like victims, blocking our capacity to find and implement solutions. Supported by SRDC, the leaders commissioned social scientists to map the historical and current cultural practices within the industry in the Herbert. These ‘archetype’ practices were subsequently validated by participants in a number of industry workshops. Having identified our archetypal ‘bad behaviours’, the project commissioned the trialling of more appropriate ways of thinking and behaving. A protocol for effective dialogue was subsequently successfully trialled in three separate siding rationalisation meetings. At the end of the ‘Cultural Imprint’ project, social scientists were again engaged to assess the changes to our culture that had occurred in the three years of the project. Further, a coaching workshop for industry and community leaders was conducted to ensure that the effective dialogue skills were diffused throughout the industry and community helping to ensure that our ‘bad behaviours’ remained left behind in our history.
Application of Adaptive Local Iterative Filtering and Permutation Entropy in Gear Fault Recognition

In this paper, a fault identification method combining adaptive local iterative filtering and permutation entropy is proposed. The adaptive local iterative filtering can decompose the nonstationary signal into a finite number of stationary intrinsic mode functions. And the experiment gear fault data are decomposed into several intrinsic mode functions by this method. Then, using the permutation entropy to calculate each intrinsic mode function, it is found that the permutation entropy of the first several intrinsic mode functions can represent the characteristics of different fault types, and the permutation entropy of the intrinsic mode function corresponding to the rotating frequency signal of the gear system could be the boundary. Finally, the fault type of gear is identified by calculating the gray correlation degree of permutation entropy of essential mode function of vibration signal decomposition under different working conditions. The example analysis results show that the proposed method can be effectively applied to the fault diagnosis of the gear system.
Biomechanical Pulping With White-Rot Fungi

Des copeaux de plusieurs especes de bois feuillus et resineux ont ete pretraites par des champignons de la pourriture blanche (Ceriporiopsis subvermispora et Phanerochaete chrysosporium) avant traitement sur raffineur a disques. On examine l'influence de ce pretraitement sur l'energie requise pour le raffinage et sur les proprietes mecaniques et optiques des pâtes.
Immunization with neural-derived peptides as a neuroprotective therapy for spinal cord injury

Spinal cord injury (SCI) induces several destructive events that develop immediately after the primary insult. These phenomena increase tissue damage; that is why, numerous therapeutic approaches are studied in order to neutralize these destructive mechanisms. In line with this, several studies indicate that after injury, neural tissue could be protected by an adaptive immune response directed against self-antigens. Immunization with neural-derived peptides (INDP) reduces secondary degeneration of neurons after spinal cord insult and promotes a significant motor recovery. The combination of antioxidants or other immunomodulatory peptides after SCI can improve the protective effect induced by INDP. INDP in acute SCI is a promising strategy, so further studies should be addressed to be able to formulate the best strategy.
Adding Ethical Values to Situated Cognitive Engineering

The subject of this master thesis is to add ethical values to the Situated Cognitive Engineering (sCE) design methodology by combining it with Value Sensitive Design (VSD). The new methodology called sCEThics was implemented in the Situated Cognitive Engineering Tool by TNO and evaluated with users of the tool mainly based on the usefulness of the individual parts and positive and negative claims of the requirements. The results were in general positive.
Axisymmetric shell structures for multi-use

Shell structures find use in many fields of engineering, notably structural, mechanical, aerospace and nuclear-reactor disciplines. Axisymmetric shell structures are used as dome type of roofs, hyperbolic cooling towers, silos for storage of grain, oil and industrial chemicals and water tanks. Despite their thin walls, strength is derived due to the curvature. The generally high strength-to-weight ratio of the shell form, combined with its inherent stiffness, has formed the basis of this vast application. With the advent in computation technology, the finite element method and optimisation techniques, structural engineers have extremely versatile tools for the optimum design of such structures. Optimisation of shell structures can result not only in improved designs, but also in a large saving of material. The finite element method being a general numerical procedure that could be used to treat any shell problem to any desired degree of accuracy, requires several runs in order to obtain a complete picture of the effect of one parameter on the shell structure. This redesign I re-analysis cycle has been achieved via structural optimisation in the present research, and MSC/NASTRAN (a commercially available finite element code) has been used in this context for volume optimisation of axisymmetric shell structures under axisymmetric and non-axisymmetric loading conditions. The parametric study of different axisymmetric shell structures has revealed that the hyperbolic shape is the most economical solution of shells of revolution. To establish this, axisymmetric loading; self-weight and hydrostatic pressure, and non-axisymmetric loading; wind pressure and earthquake dynamic forces have been modelled on graphical pre and post processor (PATRAN) and analysis has been performed on two finite element codes (ABAQUS and NASTRAN), numerical model verification studies are performed, and optimum material volume required in the walls of cylindrical, conical, parabolic and hyperbolic forms of axisymmetric shell structures are evaluated and reviewed. Free vibration and transient earthquake analysis of hyperbolic shells have been performed once it was established that hyperbolic shape is the most economical under all possible loading conditions. Effect of important parameters of hyperbolic shell structures; shell wall thickness, height and curvature, have been evaluated and empirical relationships have been developed to estimate an approximate value of the lowest (first) natural frequency of vibration. The outcome of this thesis has been the generation of new research information on performance characteristics of axisymmetric shell structures that will facilitate improved designs of shells with better choice of shapes and enhanced levels of economy and performance. Key words; Axisymmetric shell structures, Finite element analysis, Volume Optimisation_ Free vibration_ Transient response.
Dielectrophoresis based methods for separating particles on lab-on-chip platforms

Lab-on-chip devices are an emerging microsystem technology in which laboratory functions are miniaturized into compact, chip-scale packages. Such devices enable analyses to be performed at lower cost and higher speed than with traditional methods. One major application area for these devices is their use in sorting and separating biological particles. In this dissertation, we present a new technique for separating biological particles on lab-on-chip platforms. The foundation of our method is dielectrophoresis, a technique where AC electric fields are used to manipulate particles in a fluid, based on their inherent electrical properties. These electrical properties reflect differences not just in size, but also capture subtle variations in the internal composition of the particle. Using a novel time-multiplexed combination of dielectrophoresis methods over very dense electrode arrays, we can create strong electric fields with a high degree of spatial resolution. When placed in the presence of these fields, particles with variations in composition can be made to experience different amounts of force, forces in opposite directions, or no force at all simply by applying fields of specific frequency and phase in particular regions of the electrode array. By time-multiplexing, or rapidly alternating the field configuration over time, we can exert differential forces on particles of varying types. Time-multiplexing dielectrophoresis enables separations between particle types to take place under conditions that would otherwise make them inseparable. The application of the method significantly loosens the requirements competing methods have on maintaining a buffer with specific electric properties and has the ability to increase the differential rate at which particles migrate apart. As a result of our method, the use of dielectrophoresis to separate particles becomes a viable alternative in real-world situations. To demonstrate our claims we have created a small library of five particle types, including yeast cells and polystyrene microspheres of varying types. We have selected appropriate electrical models for each of these particles and use the models to analytically validate our methodology. For this dissertation, we have also developed a novel lab-on-chip hardware platform to experimentally validate our models and demonstrate the effectiveness of our technique. The presented methodology and its implementation have the potential to serve as the basis for a new class of point-of-care, portable diagnostic devices by allowing researchers to sort and assay particles of interest based on their structure and composition without the use of expensive and destructive biochemical labeling techniques.
Integrated Modeling and Testing of a Micro Hinged Structure for Sliding Friction Measurement

This paper summarizes the design, modeling, and initial evaluation of a hinged structure for friction measurement in surface micromachining technology. While the area requirements are small, the present structure allows a much larger velocity and pressure range to be evaluated as compared to comb drive structures. The device consists of a cantilevered driver beam connected to a friction pad through a strategically located hinge. AC excitation of the beam flexure forces axial sliding of the friction pad due to beam foreshortening. Normal force is controlled by DC voltage on wings adjacent to the friction pad. While the achievable slip is small (10–30 nm), it is sufficient to disengage contacting asperities and engage new points of contact, and thus should be representative of frictional processes. Furthermore, the design enables the friction pad contact area to remain relatively constant over the excitation cycle. Computer simulation results are provided to mimic on-going experimental work. Increased friction forces are shown to enhance the size of hysteresis loops relating beam deflection to driver voltage.
https://researchopenworld.com/level-of-awareness-about-emergency-contraception-among-primary-health-care-centers-physicians-in-prince-sultan-military-medical-city-riyadh-saudi-arabia-2019/#

1Family Medicine Resident, level 3, Family Medicine Department, Prince Sultan Medical Military City, Riyadh, Saudi Arabia 2Senior registrar /Trainer, Department of Family and community Medicine, Prince Sultan Military Medical City, Riyadh, Saudi Arabia 3Occupational Medicine consultant, Head of Research unit at Family Medicine Department, Prince Sultan Military Medical City, Riyadh, Saudi Arabia 4Consultant Family Medicine, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
Development of a Model and Localization Algorithm for Received Signal Strength-Based Geolocation

Abstract : Location-Based Services (LBS), also called geolocation, have become increasingly popular in the past decades. They have several uses ranging from assisting emergency personnel, military reconnaissance and applications in social media. In geolocation a group of sensors estimate the location of transmitters using position and Radio Frequency (RF) information. A review of the literature revealed that a majority of the Received Signal Strength (RSS) techniques used made erroneous assumptions about the distribution or ignored effects of multiple transmitters, noise and multiple antennas. Further, the corresponding algorithms are often mathematically complex and computationally expensive. To address the issues this dissertation focused on RSS models which account for external factors effects and algorithms that are more efficient and accurate.
Property Registration Framework using Ethereum Blockchain

The land is an immovable property. Tracing the details of property and involvement of third-party is the challenging task. Fraudulent may forge documents and mislead the purchaser and if it's a litigate land it takes many years in the court battle, waste of time and resource. Problems escalate in this current land registration process which is non-transparent. Such demands made to integrate technologies and lead to the blooming of blockchain technology. Blockchain is a decentralized and transparent ledger. The smart contract is the confirmable and permanent document between two parties. This proposed framework is used to develop a registration application system in which new purchaser has to register and continue with the further process. The proposed research work is implemented using SHA256 algorithm which provides unique hash values for the messages getting stored in blocks and ethereum blockchain technology is used to store both smart contract and transaction details.