Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Torque Maintenance and Fracture Resistance after Fatigue in Retention Screws Made of Different Metals for Screw-Retained Implant-Borne Prosthesis Joints

Purpose The aim was to evaluate the effect of different metallic alloys used in the manufacture of retention screws for universal cast to long abutment (UCLA) abutments for external hexagon (HE) and Morse taper (MT) connection implants, as well as of mechanical cycling on torque maintenance and fracture resistance through electromechanical fatigue testing by mastication followed by compression testing. Methods Sixty implants were used, 30 MT and 30 HE, with their respective titanium UCLA abutments and retention screws of 5 different materials (n = 6): Ti cp grade 2, Ti cp grade 4, Ti cp grade 4 hard, Ti grade 5—Ti6Al4V and surgical steel (DSP® Biomedical). The assemblies were positioned in an electromechanical masticatory fatigue testing machine. The fracture strength test was performed by compression testing in a universal testing machine EMICDL-200. Results The cycled screws and new screws of each alloy group for each connection type were evaluated, obtaining the maximum force (FM), in order to verify the effect of mechanical cycling. The data were tabulated and submitted to appropriate statistical analysis (α = 0.05). Conclusion It was concluded that for the MT, the alloy with the best performance was steel, both in the maintenance of torque and in the compression test, and cycling negatively influenced the maintenance of preload for this connection. The alloy material did not influence torque maintenance for HE. The new screws that were subjected to EMIC showed higher strength. The alloy with the lowest strength was Ti grade 2.
Major processes of the dissolved cobalt cycle in the North and equatorial Pacific Ocean

Abstract. Over the past decade, the GEOTRACES and wider trace metal geochemical community have made substantial contributions towards constraining the marine cobalt (Co) cycle and its major biogeochemical processes. However, few Co speciation studies have been conducted in the North and equatorial Pacific Ocean, a vast portion of the world’s oceans by volume and an important endmember of deep thermohaline circulation. Dissolved Co (dCo) samples, including total dissolved and labile Co, were measured at-sea during the GEOTRACES Pacific meridional transect (GP15) along the 152° W longitudinal from 56° N to 20° S. Along this transect, upper ocean dCo was linearly correlated to dissolved phosphate (slope = 82 ± 2 µM:M) due to phytoplankton uptake and remineralization. As depth increased, dCo concentrations became increasingly decoupled from phosphate concentrations due to co-scavenging with manganese oxide particles in the mesopelagic. The transect revealed an organically-bound coastal source of dCo to the Alaskan Stream associated with low salinity waters. An intermediate-depth hydrothermal flux of dCo was observed off the Hawaiian coast at the Loihi Seamount, and the elevated dCo was correlated to estimated xs3He at and above the vent site; however, the Loihi Seamount likely did not represent a major source of Co to the Pacific basin. Elevated concentrations of dCo within oxygen minimum zones (OMZs) in the equatorial North and South Pacific were consistent with the suppression of oxidative scavenging, and we estimate that future deoxygenation could increase the OMZ dCo inventory by 13–28 % over the next century. In North Pacific Deep Water (NPDW), a fraction of elevated ligand-bound dCo appeared protected from scavenging by the high biogenic particle flux in the North Pacific basin. This finding is counter to previous expectations of low dCo concentrations in the deep Pacific due to scavenging over thermohaline circulation. Compared to a Co global biogeochemical model, the observed transect displayed more extreme inventories and fluxes of dCo than predicted by the model, suggesting a highly dynamic Pacific Co cycle.
The effect of the COVID pandemic on faculty adoption of online teaching: reduced resistance but strong persistent concerns

Abstract This article examines a case study regarding pre- and post-COVID-19 faculty adoption patterns for online teaching. It is based on a usable sample of 184 faculty from a relatively typical, teaching/research institution, in which the bulk of the faculty had some modest level of hybrid or fully online teaching. The Unified Theory of Acceptance and Use of Technology (UTAUT)is used as the framework for the analysis for this descriptive case. The findings indicate that the trajectory of increasing online teaching is likely to continue and grow, despite reasonable and persistent faculty concerns. Based on the case study and literature, twenty recommendations are provided that can encourage faculty adoption and promote high quality online implementation systems.
Epoch-Making Discovery for CO2 Characteristics: “Pseudo Osmosis” in the Gas Phase

Recently, unprecedented torrential rains have deluged the globe, resulting in disastrous floods. These disasters were caused by climate changes because of an increase in carbon dioxide (CO2) concentration in the atmosphere since the industrial revolution. Therefore, atmospheric accumulation of CO2 should be reduced to avoid a future climate crisis. Many methods to fix CO2 have been developed, but a practical method has not been established, except for the method using amines based on moderate plant constructions. However, the membrane method has not yet been established because of the conflicting relationship between penetrability and specificity, although membrane technology can be used for CO2 separation. Epoch-making discoveries for CO2 characteristics have been presented as follows: 1) the high penetrability of CO2 in the gas phase caused “pursued osmosis” against polymer elasticity; 2) highly penetrable CO2 passed through polymer membranes such as authentic polymers and natural cellulose, whereas neither O2 nor N2 penetrates these polymers examined; 3) CO2 is absorbed by plastics; 4) H2 and CH4 gases penetrate through polymer membranes, but their penetration was completely blocked in the presence of water; and 5) using a polytunnel made of polymer sheets (an artificial forest or positive green house), which allows CO2 penetration, instead of hard chamber, steel, or plastic could be cost effective. Therefore, polymer membranes could be practically and economically useful for CO2 separation from the exhaust gas and atmosphere.
Real-Time Virtual Measurement Technique for the Thyristor Valve Current Based on the Converter Terminal Current

The safety of converters is key to the stable operation of AC/DC hybrid power grids after AC faults. Thyristor valve current is a direct manifestation of the converter observability, but there are no measuring elements inside the converter, so the thyristor valve current can be reflected only indirectly through external electrical quantities. This paper proposes a virtual measurement scheme based on the temporal features of the converter terminal current. First, under the action of the trigger pulse, the polarity characteristics of the AC current and temporal features between the valves are utilized to predictive estimate the valve state. Then, when commutation failures occur and the bypass paths form, the conduction state of valve is constructed based on the relationship between AC and DC current. Last, when the valve is to be shut-off in the bypass path, the blocking state of the valve is corrected based on the unidirectional conductance characteristics of the valve. According to the above analysis, combined with the topological current equation of the converter, the valve current can be calculated in the whole process. Through the simulation of the different valve states and bypass paths and analysis of the field record data, the results show that the valve current can still be accurately calculated based on the virtual measurement scheme.
Electrochemical performance of a multi-tubular fuel cell and electrolyzer array

Miniaturization of tubular membrane and electrode assemblies (MEAs) allows compact fuel cells and electrolyzers to be developed with power density projections of 6 kW/liter and 11 kW/kg. These tubular MEAs have been assembled into multi-tube arrays and connected in either serial or parallel arrangements. Pressure testing and leak testing of these arrays has shown no signs of leakage indicating the viability of assembling these tubes into electrochemical stacks. The tubular MEAs in these arrays have been studied by assessing the electrochemical performance of each tubular MEA in the stack. These investigations have indicated no significant performance issues between the interior and exterior tubes in the array. The operation of these tubular MEA arrays in the electrolysis mode supports the use of these miniaturized tubes for a reversible fuel cell and electrolyzer energy storage system.
Teacher education policy making during the pandemic: shifting values underpinning change in England?

This paper examines how the policy process around initial teacher education (ITE) during the pandemic of 2020 was experienced by the leaders of ITE programmes across England.Education policies,it is argued, are solutions to perceived problems, revealing latent values that drive action. Group interviews with leaders of ITE programmes across the education sector, focused on the lived experience of ITE policy developments during the first wave of the COVID19 period (March to July 2020). The analysis drew upon three policy drivers derived from an examination of teacher education policy (prior to the pandemic) in four ‘high performing’ English-speaking countries (according to PISA). The three policy drivers: the economy and global competitiveness (the rationale for change); accountability and regulatory framework (the technologies for change); and the core purpose of schooling and teacher professionalism (the values underpinning change); show how the temporary policy shift soon reverted back to previous priorities. Agency and autonomy were experienced by teacher educators which enabled them to exercise expert judgment, but there were also the significant ‘gaps’ in the expertise of policymakers. The research reveals how values influences policy formation, creating divisions within England’s ITE community, and isolating it from international policy trends. ARTICLE HISTORY Received 9 October 2021 Accepted 15 October 2021
Vegetable oils for liquid-filled transformers

Several billion litres of transformer oil are used in transformers worldwide. To meet the challenges posed by environmental concerns, fully biodegradable vegetable oils have been developed for use in electrical equipment, particularly in transformers. Against this background the author discusses the development of vegetable oils for transformer use, their biodegradability, decomposition products, functional life test, fire hazard tests and the special challenges presented by cold weather. Further exploitation of these fluids for use in capacitors and cables needs further study and tests.
Transformer Neural Network-Based Molecular Optimization Using General Transformations

Molecular optimization aims to improve the drug profile of a starting molecule. It is a fundamental problem in drug discovery but challenging due to (i) the requirement of simultaneous optimization of multiple properties and (ii) the large chemical space to explore. Recently, deep learning methods have been proposed to solve this task by mimicking the chemist's intuition in terms of matched molecular pairs (MMPs). Although MMPs is a typical and widely used strategy by medicinal chemists, it offers limited capability in terms of exploring the space of solutions. There are more options to modify a starting molecule to achieve desirable properties, e.g. one can simultaneously modify the molecule at different places including changing the scaffold. This study trains the same Transformer architecture on different datasets. These datasets consist of a set of molecular pairs which reflect different types of transformations. Beyond MMP transformation, datasets reflecting general transformations are constructed from ChEMBL based on two approaches: Tanimoto similarity (allows for multiple modifications) and scaffold matching (allows for multiple modifications but keep the scaffold constant) respectively. We investigate how the model behavior can be altered by tailoring the dataset while keeping the same model architecture. Our results show that the models trained on differently prepared datasets transform a given starting molecule in a way that it reflects the nature of the dataset used for training the model. These models could complement each other and unlock the capability for the chemists to pursue different options for improving a starting molecule.
Capacitance computations in a multilayered dielectric medium using closed-form spatial Green's functions

An efficient method for computing the 2D and 3D capacitance matrix of multiconductor interconnects in a multilayered dielectric medium is presented. The method is applicable to conductors of arbitrary polygonal shape embedded in a multilayered dielectric medium with possible ground planes on the top or bottom of the dielectric layers. The computation time required to evaluate the space-domain Green's function for the multilayered medium, which involves an infinite summation, has been greatly reduced by obtaining a closed-form, using a finite number of images in the spectral domain. The corresponding space-domain Green's functions are then obtained using the proper closed-form integrations. The elements of the moment matrix are computed using the closed-form formulation, avoiding any numerical integration. The proposed method shows good agreement when compared with other published results. <<ETX>>
Colonization Pattern of Abandoned Croplands by Quercus pyrenaica in a Mediterranean Mountain Region

Land abandonment is a major global change driver in the Mediterranean region, where anthropic activity has played an important role in shaping landscape configuration. Understanding the woodland expansion towards abandoned croplands is critical to develop effective management strategies. In this study, we analyze the colonization pattern of abandoned croplands by Quercus pyrenaica in the Sierra Nevada mountain range (southern Spain). We aimed to assess differences among populations within the rear edge of the Q. pyrenaica distribution. For this purpose, we characterized (i) the colonization pattern of Q. pyrenaica, (ii) the structure of the seed source (surrounding forests), and (iii) the abundance of the main seed disperser (Eurasian jay, Garrulus glandarius). The study was conducted in five abandoned croplands located in two representative populations of Q. pyrenaica located on contrasting slopes. Vegetation plots within three habitat types (mature forest, edge-forest and abandoned cropland) were established to compute the abundance of oak juveniles. The abundance of European jay was determined using data of bird censuses (covering 7 years). Our results indicate that a natural recolonization of abandoned croplands by Q. pyrenaica is occurring in the rear edge of the distribution of this oak species. Oak juvenile abundance varied between study sites. Neither the surrounding-forest structure nor the abundance of jays varied significantly between study sites. The differences in the recolonization patterns seem to be related to differences in the previous- and post-abandonment management.
Effect of Some Physical Mutagens on Pseudomonas aeruginosa H3 in Alginate Production

Effect of physical mutagens on the ability of Pseudomonas aeruginosa H3 in alginate production was performed by subjection of the cell suspension of P. aeruginosa H3 to different doses of UV radiation (2, 4, 6, 8 and 10 J/m2) and LASER for (30, 60, 90 and 120 sec.), then cell suspension was spread on LB agar plates and incubated at 37 ˚C for 24hrs. After that, random selection of thirty colonies that arose from the cells subjection to the effect of different doses of UV radiation and laser were made (90% of the suspended cells were killed and were tested for their alginate production). Results showed that the mutagenesis by UV radiation caused an increase in the ability of P. aeruginosa H3 in alginate production. Over-producer mutant, H3R1, was obtained from this treatment. The productivity of the alginate from this mutant was 170mg/l in comparison with the productivity of wild type (70mg/l). On the other hand, results also showed that mutagenesis using LASER radiation caused an increase in the ability of P. aeruginosa H3 in alginate production. Over-producer mutant, H3R42, was obtained from this treatment characterized by its high ability in alginate production (130mg/l) in comparison with the productivity of wild type (70mg/l). Results of Fourier Transform-Infra Red (FT-IR) for alginate produced by the wild type of P. aeruginosa H3 and over-producer mutants H3R1 and H3R42 at a wide range of wave lengths absorbance (400-4000) cm-1 showed that there were no any structural differences in the chemical structure of alginate produced by them on the basis of infra-red light absorption by different functional groups of alginate
The Simulation of Sloped Bank Effect Influence on Container Ship Trajectory

The latest container vessel grounding in the Suez Canal, which occurred on 23 March 2021 (the Ever Given), raised many questions regarding the safety of navigation. The sudden concern about safety is due to fears that traffic flow through the Suez Canal could be blocked for longer periods of time. Besides external forces imposed by wind, in this case bank effect had a significant influence on the ship’s grounding. Bank effect occurs due to restricted water flow caused by narrow waterways. Many fairway design standards consider sloped banks such as those of the Suez Canal as unsubstantial in bank-effect forces. This paper analyses the impact of sloped banks on container ship trajectory and proposes minimal distances that may decrease bank-effect forces in order to reduce the risk of vessel grounding and increase the safety of navigation. However, this type of accident has happened before and may occur again due to a small sailing distance from the bank in cases where vessel speed is increased.
Usability of Telemedicine Mobile Applications during COVID-19 in Saudi Arabia: A Heuristic Evaluation of Patient User Interfaces

The coronavirus disease 2019 (COVID-19) pandemic has impacted the use of telemedicine application (apps), which has seen an uprise. This study evaluated the usability of the user interface design of telemedicine apps deployed during the COVID-19 pandemic in Saudi Arabia. It also explored changes to the apps’ usability based on the pandemic timeline. Methods: We screened ten mHealth apps published by the National Digital Transformation Unit and selected three telemedicine apps: (1) governmental “Seha”® app, (2) stand-alone “Cura”® app, and (3) private “Dr. Sulaiman Alhabib”®app. We conducted the evaluations in April 2020 and in June 2021 by identifying positive app features, using Nielsen’s ten usability heuristics with a five-point severity rating scale, and documenting redesign recommendations. Results: We identified 54 user interface usability issues during both evaluation periods: 18 issues in “Seha” 14 issues in “Cura”, and 22 issues in “Dr. Sulaiman Alhabib”. The two most heuristic items violated in “Seha”, were “user control and freedom” and “recognition rather than recall”. In “Cura”, the three most heuristic items violated were “consistency and adherence to standards”, “esthetic and minimalist design”, and “help and documentation” In “Dr. Sulaiman Alhabib” the most heuristic item violated was “error prevention”. Ten out of the thirty usability issues identified from our first evaluation were no longer identified during our second evaluation. Conclusions: our findings indicate that all three apps have a room for improving their user interface designs to improve the overall user experience and to ensure the continuity of these services beyond the pandemic.
The Effect of different crude methanolic extracts against some gram negative pathogenic bacteria

This present study was conducted to evaluated the antibacterial activity of crude extracts (Methanolic) of punica granatum peel, Menthe longifolia and Olea eurpeae leaves against some gram negative bacteria like Pseudomonas aerugenosa, Serratia marcesens, Escherichia coli, Proteus vulgaris, Klebsiella pnemunoniae. The Agar-well diffusion was used to know the ability of inhibititory of crude extracts against bacteria. Results showed different susceptibility response of bacteria under study. It was observed that Pseudomonas aerugenosa the most susceptible to Methanolic extracts to all plants in (25, 50) mg/ml-1 concentrate. While the bacterial strains shown no responding against mint and pomegranate extracts in 10 mg/ml-1 except Pseudomonas aerugenosa and Escherichia coli, was inhibited with Olive extracts only. That ability to inhabitation less in concentrate 10 mg ml-1.
Design of optical coherence tomography probe using a 2-axis MEMS scanning mirror

We design a dual axis rotary mirror based on microelectromechanical system technology used for the endoscopic optical coherence tomography (OCT) application. With the inherent advantages of the micromachined device such as small size, low consumption and high reliability, it allows the miniaturization of conventional bulky OCT probe. The dimension of the micro-mirror is 140um×270um. Through use of finite element method, the simulation results show that the scanning mirror is capable of high frequency out-of-plane rotation in two mutually independent axes. The natural frequencies of the first two modes, corresponding to tip and tilt modes, are 65.74 KHz and 65.75 KHz respectively. The MEMS scanning mirror is electrostatically actuated with the supply voltage ranging from 30v to 40v. Via 2-axis scanning, a three-dimensional image of biological tissue can be acquired when the MEMS mirror is integrated with the OCT probe system. The entire MEMS scanner can be fabricated using the proposed surface-micromachining process, capable of mass production.
Reducing customer minutes lost by anomaly detection

An method which compares measured and predicted water demands to detect anomalies, was developed and tested on three data sets of water demand of three years in which and 25 pipe bursts were reported. The method proved to be able to detect bursts where the water loss exceeds 30% of the average water demand in the area. By simultaneously running the method in adjacent supply areas, and combining the monitoring results the number of false alarms could be reduced. Further analysis of the reported bursts, showed that most burst (22 of 25) were isolated within 2 hours after occurrence. The anomaly detection method could not have reduced the number of Customer Minutes Lost (CML) of those bursts. The water loss and pressure drop of the other bursts was limited and caused no CML. The detection method was able to detect the bursts, but did not reduce the CML.
Forecasting Enlisted Attrition in the United States Marine Corps by Grade and Years of Service

Abstract : The purpose of this thesis is to analyze historical United States Marine Corps enlisted attrition behavior and apply time series forecasting techniques by grade and Years of Service in order to identify methods to improve manpower analysts' ability to effectively forecast attrition behavior. This study compared the results of one to five-year Moving Average models and the results of one to five-year Weighted Moving Average models based on two Measures of Effectiveness, Mean Square Error and the Mean Absolute Percent Error. The results of the Friedman test indicate statistical significance of the results in relation to the Mean Square Error of the one to two-year Moving Average models. This thesis demonstrates that in most cases, a simple one-year Moving Average more effectively estimates attrition behavior than the other Moving Average or Weighted Moving Average models analyzed.