Miracle-dz/UniFAR-FTUs huggingface dataset:
Corrosion Resistance of Li-Al LDHs Film Modified by Methionine for 6063 Al Alloy in 3.5 wt.% NaCl Solution

Methionine(Met) was introduced to modify the Li-Al layered double hydroxides (LDHs) film prepared on 6063 aluminum alloy by in situ method for the first time. Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy, Scanning electron microscopy, and X-ray diffraction confirmed the successful insertion of Met into LDHs film and revealed that the introduction of Met could make the LDHs film much denser. Electrochemical tests illustrated that the corrosion rate of the Met modified LDHs film was reduced by more than an order of magnitude compared with the bare Al alloy. Moreover, the corrosion rate of the modified LDHs film after immersion in 3.5 wt. % NaCl solution for 21 days was almost the same as that without immersion, which indicates that the modified film has good corrosion durability. The corrosion resistance of the scratched modified film could recover to the level without a scratch on the 14th day based on the scratch test results, meaning the modified film has a good self-healing property. Finally, the anti-corrosion mechanism of the Met was proved by molecular dynamic simulations and found that the enhanced corrosion resistance may be attributed to the addition of Met that slowed the diffusion of the corrosive medium Cl− and water molecules.
Assessing Interdisciplinary Research Within an Emerging Technology Network: A Novel Approach Based on Patents in the Field of Bioplastics

Interdisciplinary research is an increasingly crucial source of emerging technologies like artificial intelligence, or bioplastics with the potential to alleviate the grand challenges of the 21st century. Nonetheless, assessing the degree of interdisciplinary research and resulting emerging technology networks remains somewhat ambiguous, as integrating and recombining knowledge from distant domains is a complex phenomenon. By drawing upon patents, patent citations, and their technology classification, this article seeks to elucidate how interdisciplinary research can be assessed, monitored, and visualized by taking technological knowledge areas as the unit of analysis. For our novel approach, we employ the case of bioplastics as an example of an emerging technology within the highly interdisciplinary Bioeconomy. We demonstrate, inter alia, how the importance of interdisciplinarity across technological knowledge areas has increased over time in the case of bioplastics, how different technological knowledge areas link up to form an emerging technology network, and, more generally, how this novel approach can help scientific and industrial actors to guide and plan their interdisciplinary research in emerging technologies. With regard to policy-makers, our novel operationalization of interdisciplinarity provides guidance for developing and monitoring the impact of science and innovation policies that are able to foster interdisciplinary research and emerging technologies.
Villain, Coward, or Neither: Exploring Latter-Day Saint English Teachers’ Beliefs toward Using Young Adult Literature

Abstract Debates over censorship of young adult literature are pervasive and ongoing in secondary schools and communities. However, there is the little conversation surrounding how a secondary school English teacher’s religious beliefs influence their professional identity and decision-making. This study explores the beliefs of English language arts teachers within a specific faith group in utilizing young adult literature. Findings show teachers express varying levels of comfort and discomfort when choosing to use young adult literature with specific topics and themes. Implications for teacher education are discussed.
Allele Frequency of a Common Variants and Two Common Loss-of-Function Variants in Organic Cation Transporter 1 (OCT1) among Balinese Diabetic Patients

Metformin is the most common drug prescribed for patient with type 2 diabetes mellitus (T2DM). Although it is widely used as first line therapy for T2DM, there were huge variations in its clinical efficacy among population. It was postulated that genetic polymorphisms of metformin transporter, especially organic cation transporter 1 (OCT1) encoded by SLC22A1 gene, have a considerable effect on respon of metformin therapy. However, data for this polymorphism in Balinese population was not well established. The aim of this study was to identify genetic variation in OCT1, especially rs628031, rs122083571, and rs623442, in Balinese diabetic patients. It was a descriptive study to explore genetic variation in OCT1 encoded by SLC22A1 gene. A total of 133 diabetic patients were recruited from Departement of Internal Medicine at Sanjiwani Hospital Gianyar and Tabanan Hospital, Bali. DNA was extracted and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to assess the polymorphism rs628031. While, polymorphism rs122083571 and rs623442 were assessed by direct sequencing. The minor allele frequency (MAF) for polymorphism rs628031 in this population was 0.59 with genotype frequency of AA, AG, and GG accounted for 16.5%; 48.9%, and 34.6% respectively. Minor allele frequency for polymorphism rs623442 was 0.20 with genotype frequency of CC, CA, and AA 5.4%; 29.0%; and 65.6% respectively. Polymorphism rs122083571 was not found in this population (100% genotype CC). Genetic polymorphism of OCT1 rs628031 in this population was occurred in relatively high frequency, while polymorphism OCT1 rs623442 was occurred only in one fifth of studied population. Further studies are needed to address the effect of this polymorphism to therapeutic respons of metformin in Balinese population.
Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia

This paper aims to investigate the effect of audit committee ethnicity, as part of the diverse cultures in Malaysia, on analysts’ forecast accuracy. In addition, this study investigates further the interactions between the unique cultures in Malaysia and earnings management to determine whether audit committee ethnicity still plays a role in earnings management. Based on 391 observations of firms followed by analysts from the year 2012 to 2014, our result indicates that firms dominated by Bumiputera audit committees have a higher analyst forecast error. In addition, we found that firms manage earnings to meet analysts’ forecasts, which is significant for firms dominated by Bumiputera audit committees. The results add new evidence on the effect of audit committee ethnicity on financial reporting quality in the multiracial country of Malaysia.
Using the proximal policy optimisation algorithm for solving the stochastic capacitated lot sizing problem

This paper studies the multi-item stochastic capacitated lot-sizing problem with stationary demand to minimise set-up, holding, and backorder costs. This is a common problem in the industry, concerning both inventory management and production planning. We study the applicability of the Proximal Policy Optimisation (PPO) algorithm in this problem, which is a type of Deep Reinforcement Learning (DRL). The problem is modelled as a Markov Decision Process (MDP), which can be solved to optimality in small problem instances by using Dynamic Programming. In these settings, we show that the performance of PPO approaches the optimal solution. For larger problem instances with an increasing number of products, solving to optimality is intractable, and we demonstrate that the PPO solution outperforms the benchmark solution. Several adjustments to the standard PPO algorithm are implemented to make it more scalable to larger problem instances. We show the linear growth in computation time for the algorithm, and present a method for explaining the outcomes of the algorithm. We suggest future research directions that could improve the scalability and explainability of the PPO algorithm.
Clay 3D printing as a bio-design research tool: development of photosynthetic living building components

Within architecture, microalgae are employed to address sustainability issues and mitigate the impacts of anthropogenic carbon dioxide (CO2) emissions. This study proposes digital fabrication of ceramic ‘living’ building components as an investigative tool for design conditions. The health of the chlorophyte (green) microalga Chlorella vulgaris was monitored over two-week periods when immobilized in kappa carrageenan and clay binder-based hydrogels, and grown on a range of digitally fabricated ceramic components. The use of 3D printing is presented in relation to laboratory testing of controlled substrate variables including the impact of ceramic firing temperature, component wall thickness, three types of geometry for exploring cell growth, surface patterns to investigate cell migration, internal chamber subdivisions and clay type. The experiments reveal the benefits and limitations of creating micro-ecologies for algae growth through the introduction of geometry variation. In this study, the natural organismal sensing abilities are explored as a means for cell distribution.
Ethosomes: A Novel Approach in Vesicular Drug Delivery Systems

Transdermal drug delivery is a dosage form that is applied topically to the skin layer (epidermis) which helps to deliver the drug into the skin layer before entering the systemic circulation. Ethosomes are soft, and flexible vesicles which helps in rapid drug absorption. Ethosomes have better pharmaceutical properties than the conventional liposomes such as room temperature stability, and improved compatibility with the Stratum Corneum barrier. Ethosomes are non-toxic in nature and can be used in the preparation of cosmeceutical and it has better drug absorption to the skin. The most common disadvantage of ethosome is that it might not be cost-effective. The ethosomal patches might not stick to all skin types. The mechanism of ethosomes is mainly occurred due to increased lipid fluidity within the cell membrane caused by the ethanol in ethosome. As a result, skin permeability is increased. Ethosomes can be prepared by using cold method and hot method. Ethosome consists of various evaluation parameters which includes permeability studies, drug content studies, interaction study between the vesicle and filter membrane. Ethosomes can deliver various highly lipophilic drugs like minoxidil, testosome, CBD, and other antibiotic drugs. The most widely used application for ethosomal formulation is to transport the DNA topically into the skin layer for gene expression and hence ethosomes are used in the delivering the vaccines by transdermal route. Additionally, a study in this field allows for improved regulation of medication release in vivo and long-term safety analysis, providing effective treatment. Ethosomal preparations have promising future in delivering bioactive substances via transdermal distribution. The discovery of ethosomes and vesicle derivatives was a crucial breakthrough in vesicle research. Ethosomes are preferred because they are non-irritant to the GIT tract and avoid first-pass metabolism.
A Symmetric Novel 8T3R Non-Volatile SRAM Cell for Embedded Applications

This paper proposes a symmetric eight transistor-three-memristor (8T3R) non-volatile static random-access memory (NVSRAM) cell. Non-volatile operation is achieved through the use of a memristor element, which stores data in the form of its resistive state and is referred to as RRAM. This cell is able to store the information after power-off mode and provides fast power-on/power-off speeds. The proposed symmetric 8T3R NVSRAM cell performs better instant-on operation compared to existing NVSRAMs at different technology nodes. The simulation results show that resistance of RAM-based 8T3R SRAM cell consumes less power in standby mode and has excellent switching performance during power on/off speed. It also has better read and write stability and significantly improves noise tolerance than the conventional asymmetrical 6T SRAM and other NVSRAM cells. The power dissipation is evaluated at different technology nodes. Hence, our proposed symmetric 8T3R NVSRAM cell is suitable to use at low power and embedded applications.
Regulación de la interacción participativa en clases universitarias expositivas. Propuesta formativa co-constructiva basada en la metodología observacional como estrategia mixed methods

El objetivo de este artículo es compartir algunas consideraciones de fondo y procedimiento sobre la comunicación académica modelada por la interacción participativa en el marco de la formación co-constructiva del profesorado. A partir de un estudio de caso múltiple en aula universitaria se analiza el formato expositivo-magistral con actores motivados a sostener su posición dialógica de rol en la interacción comunicativa y facilitar los actos de ayuda recíproca, recursos discursivos e interactivos que cumplen una función estratégica porque son necesarios para la construcción intelectual y autónoma del aprendizaje. La investigación empírica se diseña como un estudio de observación sistemática con un propósito evaluativo y que implementa la integración de los análisis cualitativos y cuantitativos desde un enfoque mixed methods. La discusión de los resultados pone en valor la flexibilidad y la adecuación del método utilizado tanto en el plano de la descripción matizada del proceso de regulación de la interacción participativa intentada por los actores como en el plano de la evaluación formativa de los puntos fuertes y débiles observados.
A CFAR Algorithm Based on Monte Carlo Method for Millimeter-Wave Radar Road Traffic Target Detection

The development of Intelligent Transportation Systems (ITS) puts forward higher requirements for millimeter-wave radar surveillance in the traffic environment, such as lower time delay, higher sensitivity, and better multi-target detection capability. The Constant False Alarm Rate (CFAR) detector plays a vital role in the adaptive target detection of the radar. Still, traditional CFAR detection algorithms use a sliding window to find the target limit radar detection speed and efficiency. In such cases, we propose and discuss a CFAR detection method, which transforms the Monte Carlo simulation principle into randomly sampling instantaneous Range–Doppler Matrix (RDM) data, to improve the detection ability of radar for moving targets such as pedestrians and vehicles in the traffic environment. Compared with conventional methods, simulation and real experiments show that the method breaks through the reference window limitation and has higher detection sensitivity, higher detection accuracy, and lower detection delay. We hope to promote the detection application of millimeter-wave radar in road traffic scenes.
EasyMirror and EasyImport: Simplifying the setup of a custom Ensembl database and webserver for any species

As the generation and use of genomic datasets is becoming increasingly common in all areas of biology, the need for resources to collate, analyse and present data from one or more genome projects is becoming more pressing. The Ensembl platform is a powerful tool to make genome data and cross­species analyses easily accessible through a web interface and a comprehensive API. Here we introduce the EasyMirror and EasyImport pipelines to facilitate the setup and hosting of custom Ensembl genome browsers.
The Inventions Researches And Writings Of Nikola Tesla With Special Reference To His Work In Polyphase Currents And High Potential Lighting

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Glass reflow process for microsystem applications

This paper reports on a glass reflow process and its applications to microsystems. Glass compounded silicon structures are achieved using a silicon mold under a high temperature environment, a long process time and assistance of enhancement of the surface wettability. Three applications employing the glass reflow process have been proposed and investigated. Firstly, the silicon through-wafer interconnects, embedded inside the Tempax glass, have been successfully demonstrated and show a resistance of about 10 Ω per feed-through. Secondly, a thick glass layer for thermal isolations is reported. The compounded glass can thermally isolate the heated silicon with a temperature difference of more than 100 °C when the temperature of the silicon part is 140 °C at an input power of 200 mW. Additionally, the silicon micro-heater is also evaluated for its reliability. Lastly, glass capillaries and pillars with and without liquid penetration have been proposed for obtaining the high resolution light field information. The optical windows integrated with an image sensor for an optical modulator are clearly demonstrated and a light modulation effect dependent on liquid penetration is observed.
Role of Executive Sponsors in business analytics success – Understanding their influence domains using Deductive Thematic Analysis

ABSTRACT Analytics success has delivered superior customer value, higher revenue growth, and enhanced profitability to organizations. However, a large percentage of organizations in each industry has failed to realize such analytics success. Past studies have identified the antecedents of success and failure of business analytics projects. Executive Sponsorship was rated as among the top-success enablers. There has been limited attention to how executive sponsors influence business analytics success. To demystify Executive Sponsor’s role, we applied Deductive Thematic Analysis to the narratives recorded from key informants for 21 successful and 20 failed analytics projects covering 14 industries. This study identified four influence domains that span the project lifecycle and recommends the Executive Sponsor’s involvement in each of these. The influence domains are Project Initiation, Organization culture, User trust, and Deployment enablers. Our informants found the influence domains comprehensive to explain the outcomes of their projects. The influence domains can help articulate the role of the Executive Sponsor better and set expectations. They can also be used to analyze projects, identify causes of failure, and plan corrective actions.
Interval optimal scheduling of hydro-PV-wind hybrid system considering firm generation coordination

Coordination of hydropower with multiple renewable sources can effectively reduce the adverse effects of large-scale renewable energy integration in power systems. A yearly scheduling model was proposed for a hydro-photovoltaic (PV)-wind hybrid system, maximising its generation interval and considering firm generation limits. Firm generation ensures reliable monthly generation and reduces generation fluctuations. Because the probability distributions of wind power, water inflow and solar radiation are difficult to predict precisely, interval optimisation is employed to solve this problem by considering only the possible intervals of random variables. It reduces errors introduced by distribution assumptions, acquires possible generation intervals and reduces computation burden. To handle the scheduling model using intervals, a pessimistic preference ordering of interval numbers is employed. The proposed interval optimal scheduling model is illustrated and analysed for a realistic case study in Yunnan.
Changes in the potential distribution of valuable tree species based on their regeneration in the Neotropical seasonal dry forest of north-western Argentina

Summary The distribution of regeneration makes it possible to assess whether populations of tree species will maintain or change their distributions. For Neotropical dry forests there is little information on the potential changes in the distribution of tree species. Here, we evaluate the potential distributions of adults and seedlings of eight timber tree species of the Piedmont Forest of north-western Argentina by recording the presence of seedlings and adults in plots and modelling with MaxEnt software using three bioclimatic variables. The potential distribution areas of seedlings and adults and the percentage of overlap of seedlings with respect to adults were calculated. The potential distribution for adults was 694 457 ± 62 535 ha, and this figure was 656 564 ± 194 769 ha for seedlings. The potential distribution of seedlings of Calycophyllum multiflorum covered the smallest area (184 496 ha) and had the least overlap with the adults (18%). The difference in the overlap of the potential distribution areas between adults and seedlings suggests that there could be changes in the future distribution of this tree species and C. multiflorum should therefore be the focus of conservation strategies so that the species can follow its bioclimatic niche as the climate changes.
FORENSICS FOR THE BULL STUD AND SEMEN PROCESSING LAB: INTERPRETING TANK, STRAW AND SEMEN QUALITY CLUES

Dr. Mike Kaproth completed his B.S. and M.S. degrees at the University of Minnesota, supervised by Dr. Ed Graham. Mike processed semen at Minnesota Valley Breeders Cooperative, and supervised semen processing at Eastern Artificial Insemination Cooperative. Following mergers which created Genex Cooperative, Mike accepted the responsibility of Associate Vice President for Laboratories and Research. In 2005, Mike completed a Ph.D. program under the direction of Dr. John Parks at Cornell University. Research interests include sperm metabolism and preservation, spermatogenesis and production of bovine spermatids from transplanted tissue.
Effects of Forest Fragmentation on the Volume of Wood Resources in Managed, Pine-Dominated Forests in Poland

Forest fragmentation is a widespread phenomenon that directly or indirectly affects the processes that take place both in forest ecosystems and in their immediate surroundings. So far, many studies confirm its negative effects, especially on biodiversity. On the other hand, there are few studies that address the effects of forest fragmentation on the amount of accumulated biomass or carbon, as well as on the characteristics of wood resources in managed forests. Therefore, issues related to timber production, which are important from the point of view of multifunctional forest management, are omitted. The aim of our research was to add to the knowledge in this area. In particular, we focused on assessing the impact of forest fragmentation on wood resources based on an analysis of edge effects in forest patches (units formed by combining forest fragments characterized by structural connectivity). Vector data describing the topography of forest fragments in Poland and the results of the National Forest Inventory (NFI) from 2015–2019 were used as material for solving this problem. The results of our research showed that the effects of fragmentation on managed pine stands depend on the age of the stand and the fertility of the habitat. In young stands growing on barren or strongly barren habitats, growing stock volume turned out to be significantly higher in the edge zone. In older stands, especially on moderately fertile habitats, significantly higher resources were found in the interior zone of forest patches. Habitat quality also had a significant effect on the amount of carbon accumulated. In strongly barren habitats, higher carbon mass was found in edge zones, while in moderately fertile habitats, stands had higher carbon volume in the interior zone. Our results illustrate that forest fragmentation is a very complex process that can increase or reduce wood resources, depending on the age of the stand and the quality of the habitat. From the standpoint of measurable benefits, it was concluded that protection from the negative effects of fragmentation should focus primarily on older stands and more fertile habitats.