Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of the Influence of Education and Literation of Entrepreneurship in Vocational High Schools: Indonesian Case

This paper aims to explain the factors that influence of entrepreneurship education and entrepeneurship literacy of vocational students (SMK). A paper based on research on 1,440 vocational grade XI students in 12 provinces in Indonesia obtained through random techniques, in the sense that each student has the same opportunity. Primary data collection is done through the distribution of questionnaires to students and analyzed by SEM techniques through the help of the Lisrel program version 8.70. The study found that the variables of school management, the role of teachers, teaching factories, and community participation had a positive influence on supporting facilities variables and entrepreneurship education variables. Facility support itself has a positive effect on entrepreneurship education, furthermore it has a positive effect on students' entrepreneurial literacy. On the other hand, external cooperation indicators contribute the strongest value for the school management variable, competent educator indicators of the teacher role variable, production training in the factory teaching variable, production marketing assistance in the community participation variable, and capital assistance information in the supporting facilities variable. In the entrepreneurship education variable, the indicator that contributes the strongest value is the identification of business prospects, while the entrepeneurship literacy variable is an indicator of business creativity. The implication is that entrepreneurship education efforts need to pay more attention to the above influence variables as well as indicators that have the effect strength of each variable. Received: 20 August 2020 / Accepted: 2 November 2020/ Published: 17 January 2021
Dynamic Hydraulics in a Drinking Water Distribution System Influence Suspended Particles and Turbidity, But Not Microbiology

Spatial and short-term temporal changes in water quality as a result of water age and fluctuating hydraulic conditions were investigated in a drinking water distribution system. Online measurements of total and intracellular adenosine tri-phosphate (ATP), total and intact cell concentrations measured with flow cytometry (FCM), turbidity, and particle counts were performed over five weeks at five subsequent locations of the distribution system. The high number of parallel FCM and ATP measurements revealed the combined effect of water age and final disinfection on spatial changes in microbiology in the system. The results underlined that regular daily dynamics in flow velocities are normal and inevitable in drinking water distribution systems, and significantly impact particle counts and turbidity. However, hydraulic conditions had no detectable impact on the concentration of suspended microbial cells. A weak correlation between flow velocity and ATP concentrations suggests incidental resuspension of particle-bound bacteria, presumably caused by either biofilm detachment or resuspension from sediment when flow velocities increase. The highly dynamic hydraulic conditions highlight the value of online monitoring tools for the meaningful description of short-term dynamics (day-scale) in drinking water distribution systems.
Tracking Subsurface Active Weathering Processes in Serpentinite

We conducted a novel study to capture the on‐going advancement of mineral weathering within a serpentinite formation by using an integrated approach of multi‐scale quantitative rock magnetic analyses and nano‐resolution geochemical imaging analyses. We studied a suite of rock samples from the Coast Range Ophiolite Microbial Observatory (CROMO) in California to conduct rock magnetic analyses enabling us to determine character of Fe‐bearing minerals and to predict locations of reaction boundaries among various stages of weathering. QEMSCAN® and other electron micro‐imagery analyses highlighted microstructural changes in amorphous minerals, and possible changes in porosity and coincides with the iron‐enrichment region. This iron enrichment indicates initiation of iron (‐oxides) nucleation, resulting in extremely fine gain magnetite formation. This is a newly documented mode of magnetite production in serpentinites and enhances the application of magnetite abundance as a proxy for the degree and extent of water‐rock interaction in mantle peridotite and serpentinite.
Standard and Fast Selective Catalytic Reduction of NO with NH3 on Zeolites Fe-BEA

Two Fe-containing BEA zeolites were prepared by ion-exchange (IE; Fe-BEA) and postsynthesis (PS; Fe-BEA/DeAl) procedures. Similar Fe content (0.8 to 0.9 Fe wt %) was evidenced for studied samples. Fe-BEA, prepared by ion exchange, contained essentially iron cations at the exchange sites of the zeolite. These iron cations are either isolated or bridged through an oxygen atom (Fe-oxo cations). In Fe-BEA/DeAl, a high portion of iron was introduced in the T-positions of zeolite lattice. The other part was either at an exchange positions or deposited as oxide clusters on the outer surface of zeolite grains. For Fe-BEA, significantly higher acidity than for Fe-BEA/DeAl was evidenced by FT-IR studies with adsorption of NH3 and CO. The catalytic performance of Fe-BEA and Fe-BEA/DeAl was investigated in standard selective catalytic reduction (SCR) (NO2/NO = 0) and fast SCR (NO2/NO = 0.85). Fe-BEA revealed high catalytic activity in both SCR NOx reactions; however, production of N2O was much more apparent over this.
Observation‐Constrained Projection of Global Flood Magnitudes With Anthropogenic Warming

River flooding is among the costliest natural disasters with severe economic, societal, and environmental consequences. However, substantial uncertainties remain in global and regional projections of future flood conditions simulated by global climate models (GCMs) and/or global hydrological models (GHMs). Using physical models coupled with machine learning (ML), for the first time, we project changes in flood magnitudes of 2062 global river basins by constraining physical‐based streamflow simulations with observations under 1.5°C and 2°C warming scenarios identified for the Representative Concentration Pathway 8.5. We found that, during the validation period, the GHMs‐simulated flood magnitudes would improve with reduced uncertainty over the selected river basins after ML with a Long Short‐Term Memory network. Our estimation suggested that flood magnitudes would increase in many Northern Hemisphere mid‐ and high‐latitude rivers (e.g., Lena River, Amur River and Volga River) but decrease in some river basins in southern Finland and Eastern Europe in future periods (i.e., 1.5°C and 2°C warming levels). In 1.5°C and 2°C warmer worlds, the decreasing flood magnitudes in most South American rivers are associated with decreased soil moisture and increased evapotranspiration induced by warmer temperatures. Although the geographical pattern of changes in flood magnitudes for the +2°C experiment is close to that of the +1.5°C experiment, a 1.5°C warming target is more likely to reduce flood magnitudes of many river basins worldwide (e.g., in central and eastern Siberia, Alaska/Northwest Canada and South America).
Using machine learning algorithms to detect frauds in telephone networks

This paper presents an analysis of voice traffic in telephone networks, based on machine learning algorithms to detect frauds made by callers. Starting from the raw data set that includes information about the call date, destination number, duration and caller's number, in our approach we were able to identify fraudulent calls in early stages. For balance, the data set was split in 2 parts: one for training and one for testing. To obtain mean’s values from dataset, a standardization technique was applied in order to scale the data before the dimensionality reduction using Principal Component Analysis. Then, the first two components were used as inputs for Logistic Regression and Random Forest models, having the caller as target. Finally, the target was moved on the destination file so as to identify the caller and the moment when the call has started based on a vector representation of words.
A Novel Renewable Microgrid-Enabled Metro Traction Power System—Concepts, Framework, and Operation Strategy

This article presents a novel renewable microgrid-enabled metro traction power system (MMTPS), where the renewable energies and regenerative braking (RB) power of metro trains are unifiedly managed by renewable microgrids to reduce energy consumption and obtain the economic benefits for metro traction power system (MTPS). The concept and system framework of MMTPS is first established, where the metro energy router (MER) is presented as an innovative solution to efficiently integrate renewable microgrids into MTPS. Then, the four operation modes of MMTPS are defined and analyzed, including the voltage control mode, the power control mode, the RB supporting mode, and the islanded mode. Furthermore, the system average model of the proposed MMTPS is established to investigate the steady-state performances of MMTPS. In addition, the control strategies of MMTPS are developed to enable the different operation modes. Finally, the simulation and hardware-in-the-loop (HIL) experimental results are given to validate the effectiveness of the MMTPS. The proposed MMTPS as an innovative solution is able to reduce the energy consumption of MTPS and obtain economic benefits from renewable energy sources and RB energy.
The effect of pre- and postharvest calcium applications on 'Hayward' kiwifruit storage ability

The benefits of calcium applications pre and postharvest on fruit storage ability have been mentioned in the bibliography. It was objective of this work to study the effect of calcium preharvest application in two different forms and calcium chloride application postharvest on 'Hayward' kiwifruit storage ability. Kiwifruit vines were sprayed with 0.03% CaCl 2 or 0.03% CaO at one, three and four months before harvest. The control did not have any treatment. After harvest, half fruits were dipped for 2 min in a solution of 1% CaCl 2 , left to dry and stored at 0°C. The other half was stored at the same temperature without any treatment. The commercial yield was not affected by treatments. During storage, fruits dipped in 1% CaCl 2 softened slower and than fruits not treated. Weight loss was higher in fruits treated with CaO preharvest. SSC showed a significant decrease in fruits sprayed with CaO from 4 to 6 months storage. This work suggests that immersion of kiwifruit in 1% CaCl 2 postharvest benefits storage life capacity; preharvest spraying with CaCl 2 seems to be better than with CaO. However, we have to try higher calcium concentrations in order to get better results in storage ability but, without causing toxicity on the vines.
Radiation-Damage Resistance in Phyllosilicate Minerals from First Principles and Implications for Radiocesium and Strontium Retention in Soils

Accidental discharges of the hazardous nuclear fission products 137Cs+ and 90Sr2+ into the environment, such as during the Fukushima Dai-ichi nuclear accident, have occurred repeatedly throughout the ‘nuclear age. ’ Numerous studies of the fate and transport of 137Cs+ and 90Sr2+ in soils and sediments have demonstrated their strong and selective binding to phyllosilicate clay minerals, primarily by means of cation exchange into interlayer sites. The locally concentrated amounts of these radioactive beta-emitters that can be found in these host minerals raise important questions regarding the long-term interplay and durability of radioisotope—clay associations, which is not well known. The present study goes beyond the usual short-term focus to address the permanence of radioisotope retention in clay minerals, by developing a general theoretical understanding of their resistance to the creation of defects. The present study reports ab initio molecular dynamics (AIMD) calculations of the threshold displacement energy (TDE) of each symmetry-unique atomic species comprising the unit cell of model vermiculite. The TDE values determined are material specific, radiation independent, and can be used to estimate the probability of Frenkel-pair creation by direct electron—ion collision, as could be induced by the passage of a high-energy electron emitted during the beta-decay of 137Cs, 90Sr, and daughter 90Y. For 137Cs and 90Sr, the calculated probability is ~36%, while for 90Y the probability is much greater at ~89%. The long-term retention picture that emerges is that decay will progressively alter the clay interlayer structure and charge, probably leading to delamination of the clay, and re-release of residual parent isotopes. Further work examining the effect of Frenkel defect accumulation on the binding energy of parent and daughter radionuclides in the interlayer is thus justified and potentially important for accurate long-term forecasting of radionuclide transport in the environment.
Synthesis of novel imidazole-based triheterocycles via a domino Ugi/Michael reaction and silver-catalyzed heteroannulation

An efficient and diversity-oriented synthetic strategy for novel triheterocyclic imidazo-pyrrolo-pyrazine/diazepine/diazocine derivatives is elaborated. The process utilizes a domino four-component Ugi reaction/Michael reaction of imidazole-2-carbaldehyde, propargyl amines, 2-alkynoic acids and isonitriles to deliver functionalized imidazole-pyrrolones, which upon a silver-catalyzed heteroannulation in aqueous medium under microwave irradiation furnishes the desired triheterocycles in good to excellent yields.
Uniform Demagnetization Diagnosis for Permanent-Magnet Synchronous Linear Motor Using a Sliding-Mode Velocity Controller and an ALN-MRAS Flux Observer

To realize the demagnetization fault diagnosis and degree estimation of permanent-magnet synchronous linear motors in linear motion applications with high precision and multiple working conditions, a novel double closed-loop control with an adaptive linear neuron (ALN) model reference adaptive system (MRAS) flux linkage observer is proposed in this article. First, a sliding-mode control (SMC) is introduced to design the velocity loop to obtain good speed adaptability. Then, the MRAS flux observer is established, and the ALN algorithm for modifying the MRAS adaptive law online is designed combining with MRAS flux observer. In addition, the finite element models of normal, weak (F1), mild (F2), moderate (F3), and severe (F4) demagnetization faults are established, and the accurate values of flux linkage under different demagnetization degrees are simulated. Furthermore, the demagnetization fault diagnosis algorithm is introduced with an SMC-ALN-MRAS flux observer. Finally, a prototype motor experimental platform is built, and comparative experiments are designed to confirm the correctness and effectiveness of the proposed method.
Reconfigurable Binary Neural Network Accelerator with Adaptive Parallelism Scheme

Binary neural networks (BNNs) have attracted significant interest for the implementation of deep neural networks (DNNs) on resource-constrained edge devices, and various BNN accelerator architectures have been proposed to achieve higher efficiency. BNN accelerators can be divided into two categories: streaming and layer accelerators. Although streaming accelerators designed for a specific BNN network topology provide high throughput, they are infeasible for various sensor applications in edge AI because of their complexity and inflexibility. In contrast, layer accelerators with reasonable resources can support various network topologies, but they operate with the same parallelism for all the layers of the BNN, which degrades throughput performance at certain layers. To overcome this problem, we propose a BNN accelerator with adaptive parallelism that offers high throughput performance in all layers. The proposed accelerator analyzes target layer parameters and operates with optimal parallelism using reasonable resources. In addition, this architecture is able to fully compute all types of BNN layers thanks to its reconfigurability, and it can achieve a higher area–speed efficiency than existing accelerators. In performance evaluation using state-of-the-art BNN topologies, the designed BNN accelerator achieved an area–speed efficiency 9.69 times higher than previous FPGA implementations and 24% higher than existing VLSI implementations for BNNs.
Incremental Validity between the Wartegg and Rorschach tests (R-PAS)

Abstract Incremental validity indicates how much a measure can add prevision to a criterion, more than what can be previewed by other sources of data. In other words, it means how an instrument can complement and aid on information comprehension derived from another. The objective of the study was to verify evidence of incremental validity between the Wartegg and the Rorschach tests (R-PAS). A total of 40 subjects with ages varying between 21 to 70 years participated, divided into two groups, one composed by schizophrenia diagnosis and another, by subjects with a history of psychiatric diseases. Everybody responded to the Rorschach and Wartegg tests. The results indicated predictive capacity among the instruments of 75% for the variable Formal Quality, 98% for Movement and 100% for Content. New studies are suggested about validity evidences with larger samples as well as the analysis of other variables, not explored in this study.
Aortic Valve Repair Using Geometric Ring Annuloplasty

Reparative operations for insufficient cardiac valves constitute the surgical procedures of choice when pathoanatomies permit. At present, mitral and tricuspid repair techniques are well-established, but recent data also suggest that reconstruction of insufficient aortic valves may be associated with lower operative mortality, fewer valve-related complications, and improved survival. In an effort to increase adoption of aortic valve repair and to mitigate recurrent insufficiency, annuloplasty rings based on normal aortic root geometry have been developed to position in the inflow portion of the aortic annulus similar to mitral and tricuspid rings. This review will describe techniques for tri-leaflet and bicuspid geometric ring annuloplasty, and also will address leaflet reconstruction methods for the common leaflet pathologies. The application of a pathoanatomic approach to aortic insufficiency now permits the majority of aortic valves to be repaired with acceptable clinical outcomes.
Effectiveness of Two Frequently Used Screening Tools in Identifying Depression and Anxiety in Collegiate Athletes

Recommended Citation Isacke, Adriana C. DO; Haskins, Amy PhD; Holt, Christina MD, MSc; and Dexter, Williams MD, FACSM (2021) "Effectiveness of Two Frequently Used Screening Tools in Identifying Depression and Anxiety in Collegiate Athletes," Journal of Maine Medical Center: Vol. 3 : Iss. 1 , Article 3. Available at: https://knowledgeconnection.mainehealth. org/jmmc/vol3/iss1/3 https://doi.org/10.46804/ 2641-2225.1068
Growth and reproduction in mesopelagic fishes: a literature synthesis

The mesopelagic zone covers a vast expanse of the World’s oceans and contains some of the most abundant vertebrates on the planet. This midwater region is central to the transfer of energy and carbon between the atmosphere and the deep, yet there are large knowledge gaps in our understanding of the life history of its animals. Here we synthesize the current state of knowledge of research on age, growth, and reproduction of mesopelagic fishes, the basic biological information fundamental to understanding the population dynamics of species in this ecosystem. Collectively, two-thirds of life history research on mesopelagic fishes has been undertaken on myctophids, yet many other abundant and important groups are lacking research. There are generally hotspots of mesopelagic fish research mostly centred in the northern hemisphere, with little to no coverage in the Indo-Pacific region nor the poles. Furthermore, the effects of some anthropogenic stressors—chiefly climate change and resource extraction—on the life history of the animals in this zone is uncertain and needs to be considered. Knowledge of growth and reproduction are key traits required for a holistic assessment and understanding of this ecosystem, and hopefully this synthesis will provide a springboard for greater focus in this area.
Die Kristallstruktur von Yttriumvanadat

Yttriumvanadat, das als Mineral nicht bekannt ist und, soviel ich weiss, früher noch nicht hergestellt wurde, wurde nach Angaben von Herrn Prof. Dr. V. M. GOLDSCHMIDT von Herrn Dr. H. HABALDSEN im Jahre 1928 im Mineralogischen Institut der Universität Oslo dargestellt. Für die Bereitung wurden Yttererden, die von Prof. V. M. GOLDSCHMIDT aus dem Mineral Thalenit hergestellt waren, verwandt. Diese Yttererden (mit einem durchschnittlichen Molgewicht Rt0a = 256) enthielten neben überwiegendem Yttrium die Elemente der Reihe Gadolinium—Cassiopeium (Yttererden). Die Gitterkonstante des angewandten Präparats von Yttererden beträgt 10'56 Ä gegenüber 10'60 A des chemisch reinen Yt03. Daher darf man gewiss sein, dass die Abweichung in den Gitterdimensionen zwischen reinem Y VOK und einem Vanadat des benutzten Präparats nur wenige Zehntelprozente betragen kann.
Media and Digital Technologies for Mixed Methods Research in Public Health Emergencies Such as COVID-19: Lessons Learned From Using Interactive Radio–SMS for Social Research in Somalia

Radio shows which invite audience participation via short message service (SMS)—interactive radio–SMS—can be designed as a mixed methods approach for applied social research during COVID-19 and other crises in low and middle income countries. In the aftermath of a cholera outbreak in Somalia, we illustrate how this method provides social insights that would have been missed if a purely qualitative or quantitative approach were used. We then examine the strengths and limitations associated with interactive radio–SMS through an evaluation using a multimethod comparison. Our research contributes an application of a mixed methods approach which addresses a specific challenge raised by COVID-19, namely utilizing media and digital technologies for social research in low and middle income countries.
Computational modeling of carbon nanofibers reinforced composites: A comparative study

The carbon nanotubes/nanofibers reinforced composites (CNRC) show great mechanical properties. There are several methods to simulate the mechanical properties of composites. Among the modeling techniques, embedded region (ER) shows the possibility for direct multi-scale simulation. A comparative study among beam element embedded model, solid element embedded model, as well as common solid element model is carried out. Programs developed in Matlab are utilized to generate geometric configurations, and finite element models are obtained from MSC.Patran with a script written in the Patran command language (PCL). Besides, a set of parametric studies are performed to investigate the influence of the aspect ratios of nanofibers and load cases on the mechanical properties of CNRC. The result shows that the ER technique is reliable to represent composites though neglecting the localized stress concentration, and beam element embedded models are trustworthy only for nanofibers with a large aspect ratio.