Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Exceptionalist Thinking about Climate Change

Although global climate change poses a real and looming threat to both human societies and the natural world, large gaps in understanding exist between the general public and the scientific community. One factor contributing to such gaps could be the use of intuitive thinking to understand complex phenomena. In two studies, we explore climate change understanding and engagement through the lens of an intuitive pattern of thinking, human exceptionalism, which refers to the tendency to infer that humans are exceptional to, and separable from, the rest of the natural world. In both studies, undergraduates thought about global climate change in human exceptionalist ways that were orthogonal to accuracy—for example, they correctly think that humans uniquely contribute to climate change compared to other organisms, but incorrectly think that humans will be uniquely immune to the effects of global climate change. Moreover, human exceptionalist thinking has real-world consequences; it was negatively associated with eco-friendly attitudes and behaviors, and negatively predicted individuals’ attribution of damage from recent hurricanes (i.e., hurricanes Michael and Florence) to global climate change. Finally, we demonstrated that increasing the salience of connections between humans and global climate change reduced human exceptionalism. Findings suggest that intuitive thinking in general, and human exceptionalism in particular, make important contributions to how we understand and reason about global climate change, and may be promising targets for interventions aimed at increasing pro-environmental attitudes and behaviors.
“We Cause a Ruckus”: Exploring How Indigenous Youth Navigate the Challenges of Community Engagement and Leadership

Using qualitative data from an interdisciplinary research project about mental health and community engagement with Indigenous youth in Kasabonika Lake First Nation (Ontario, Canada), this paper explores the factors that constrain and facilitate their ability to contribute to the well-being of their community. Case studies are employed to demonstrate how the youth navigate complex social and structural conditions within the context of on-going colonization through federal and provincial governance arrangements, to make a difference in the place they call home and forge unique in-roads that reflect their generational realities and aspirations. The paper contributes to ongoing discussions related to mental health, self-determination, and resilience research.
Fallacy of data‐selective inference in modelling networks

Recent years have seen a growing array of activities in developing statistical models for modelling real‐life networks. Since many of these networks are sparse, an all too often practice in the literature is to apply a developed model to a subnetwork typically by discarding nodes due to their lack of connectivity. In this note, we provide the first result highlighting issues with this practice which we call the fallacy of data‐selective inference. We demonstrate this fallacy by examining the estimation bias in the Erdős–Rényi model theoretically and in the stochastic block model empirically.
KEYAKINAN CINTA MENGATASI RINTANGAN DAN IDEAL: KAITAN DENGAN CINTA DAN HARAPAN PADA HUBUNGAN ROMANTIS DI DEWASA AWAL

Kepuasan hubungan individu ditentukan oleh banyak faktor, salah satunya yaitu keyakinan romantis. Keyakinan romantis merupakan serangkaian keyakinan yang terdiri atas ekspektasi dan harapan individu terhadap hubungan romantis itu sendiri. Penelitian ini bertujuan untuk melihat bagaimana hubungan antara keyakinan romantis dengan kepuasan hubungan pada sampel dewasa awal yang sedang berpacaran. Penelitian ini menggunakan metode kuantitatif korelasional. Partisipan dalam penelitian ini berjumlah 152 mahasiswa dengan rentang usia antara 18-25 tahun dan sedang menjalani hubungan romantis minimal selama enam bulan. Pengambilan data dalam penelitian ini menggunakan dua alat ukur yaitu Romantic Beliefs Scale dan Relationship Assessment Scale. Secara garis besar, hasil penelitian ini menemukan bahwa terdapat korelasi positif antara keyakinan romantis terhadap kepuasan hubungan romantis pada dewasa awal yang sedang berpacaran. Hasil penelitian ini juga menemukan bahwa dimensi keyakinan cinta mengatasi rintangan, dan ideal berkorelasi positif terhadap dimensi cinta dan harapan pada kepuasan hubungan romantis. Implikasi dan saran untuk penelitian selanjutnya dibahas lebih lanjut.
Movie recommendation system using machine learning

A recommendation system is a system that provides online users with recommendations for particular resources, such as books, movies, and music, based on a collection of data from the dataset. These recommendation systems are beneficial for companies that collect information from a large number of customers and aim to provide the best recommendations for the users.Withine-commerce, recommendation systems help in personalizing the user experience by providing items that the user is most likely to be interested in based on similar items that the user has been interested in or items that similar users have been interested in. Using datasets from kaggle to help us analyse the accuracy of our model.Many factors, including the genre of the movie, the actors, and even the director, should be considered while developing a movie recommendation system. The algorithms can recommend movies based on one or a combination of twoor more criteria by using collaborativeand content-based filtering techniques in machine learning.The cold-start problem, or the first lack of item reviews, is a new user issue that affects the most of these techniques. Here provided fresh user demographic data instead of rating history to produce suggestions in order to avoid the cold-start problem in this project.
Brief Review on Formation Control of Swarm Robot

This paper presented review formation control ofswarm robot. Recently the problems formation control of swarmrobots has attracted much attention, and several formationcontrol schemes were proposed based on various strategies. Theformation control strategies to solved these problem on swarmrobots, with considering regulation concept in control theory.Swarm intelligence algorithms takes the full of advantages of thefeature of swarm robotics, and provides a great solution forproblem formation control on swarm robots.
Comparison of CAPM And Fama-French Three-factor Model

Asset pricing is very important for financial market operation. The capital Asset Pricing Model and Fama-French three-factor model are two classical asset pricing models. This essay, compared portfolio returns and utility under different model settings by constructing a portfolio, conclude that the Fama-French three factor model is more effective than the CAPM model. It can more comprehensively include factors affecting stock prices to project the price in the future. In our study, we found drawbacks in the assumptions of the CAPM model, the assumptions give the model a perfect market which is far away from the fact. However, Fama-French three factor model also has its downsides. We just talk about the better choice between the two models. After the research, there still exist some limitations to our study. We need to conduct in-depth research to refine asset pricing models.
Inheritance of PGI and LAP Isozymes in Octoploid Cultivated Strawberries1

Genetic analysis of phosphoglucoisomerase and leucine amino peptidase allozymes clearly indicated that the octoploid cultivated strawberries Fragaria × ananassa Duch. are highly diploidized. A 4-locus genetic model is proposed for the PGI allozymes in the octoploid strawberries commensurate with the genomic structure. The LAP system needs further investigation in order to establish the number of loci and alleles present. The possible adaptive value of the biochemical diversity found in the Fragaria species is discussed.
Shipping Temperature, Time and Media Effects on Equine Wharton’s Jelly and Adipose Tissue Derived Mesenchymal Stromal Cells Characteristics

Simple Summary Today, the use of horse adipose tissue and Wharton’s jelly-derived mesenchymal stromal cells in veterinary regenerative medicine represents a promising tool. Cells need to be isolated and expanded in vitro in the laboratory to obtain a sufficient amount for clinical application and its characterization. In many cases, laboratories and clinics where the therapy will be performed are in different and far-flung facilities, and the cells must therefore be shipped by a courier. The authors evaluated the effects of different storage conditions, in terms of temperature, time of storage and storage solutions on cell viability, cell growth, differentiation potential and molecular characteristics. The aim was to state the most appropriate storage conditions for transporting adipose tissue and Wharton’s jelly-derived stromal cells, ensuring the maintenance of the stemness features for therapeutic application in horses. Abstract To use Mesenchymal Stromal Cells (MSCs) in equine patients, isolation and expansion are performed in a laboratory. Cells are then sent back to the veterinary clinic. The main goal of storage conditions during cell transport is to preserve their biological properties and viability. The aim of this study was to evaluate the effects of storage solutions, temperature and time on the characteristics of equine adipose tissue and Wharton’s jelly-derived MSCs. We compared two different storage solutions (plasma and 0.9% NaCl), two different temperatures (4 °C and room temperature) and three time frames (6, 24, 48 h). Cell viability, colony-forming units, trilineage differentiation, the expression of CD45 and CD90 antigens and adhesion potentials were evaluated. Despite the molecular characterization and differentiation potential were not influenced by storage conditions, viability, colony-forming units and adhesion potential are influenced in different way, depending on MSCs sources. Overall, this study found that, despite equine adipose tissue MSCs being usable after 24 h of storage, cells derived from Wharton’s jelly need to be used within 6 h. Moreover, while for adipose cells the best conservation solutions seems to be plasma, the cell viability of Wharton’s jelly MSCs declined in both saline and plasma solution, confirming their reduced resistance to conservation.
Simplified Model of the Internal Atmosphere of Flammable Liquid Tanks in Case of Air Inlet from a Pressure Safety Valve

Storage of flammable liquids is a common activity in many industrial domains. A history of accidents shows that liquid storage has been involved in several critical accidents due to the large amount of hazardous substances potentially involved in the incident. Safe storage of flammable liquids is often guaranteed through blanketing of the internal atmosphere of the tank through the introduction of an inert gas, usually nitrogen. A double action pressure safety valve is often installed on the tank to protect the tank from damage in the event of overpressure or depression. In case of depression, an inert gas, usually nitrogen, is fed to the vapor space of the tank to maintain the vapor composition outside of the flammability limits. In case of lack of nitrogen, the opening of the pressure safety valve allows air to enter. The entry of air, especially if prolonged, can bring the atmosphere inside the tank to explosive conditions. This paper presents a simplified model for the estimation of the internal composition of the tank following the entry of air due to the opening of the pressure safety valve, following the process of fluid removal in case of lack of nitrogen. The model also allows the estimation of how much liquid can be safely removed. The simplified model can analyze both the case of a single tank and a tank farm.
Thermal Flow Sensor With a Bidirectional Thermal Reference

Conventional thermal flow sensors require samples to be heated; however, the temperature rise of the measuring tools limits their use in biological applications. To address this limitation, in this study, we propose a thermal flow sensor with a bidirectional thermal reference. We fabricated an integrated calorimetric and hot-film thermal flow sensor with a bidirectional thermal reference using a Peltier module to produce a thermal distribution that depends on the flow rate. The integrated thermal flow sensors enable high-resolution and wide-range flow rate measurements in a microfluidic device without the use of heating reagents in the cooling measurement mode. In addition, the sensor can be used as a typical heating thermal flow sensor by inverting the current applied to the Peltier module. Computational fluid dynamics simulations and experiments were performed to evaluate the performance of the integrated sensors in heating and cooling modes. In both modes, the calorimetric sensor measured low flow rates with a resolution of 100 nL/min, whereas the hot-film sensor measured a wide range of flow rates up to 200 $\mu \text{L}$ /min. The proposed sensor expands the use of the thermal flow sensors by switching between the cooling and heating modes according to the sample temperature and maximum temperature limit. [2022-0090]
Real-Time PPG Signal Quality Assessment System for Improving Battery Life and False Alarms

This brief presents a new real-time photoplethysmogram (PPG) signal quality assessment system for significantly reducing an overall energy consumption and reducing frequent false alarms. The proposed algorithm is based on the hierarchical decision rules by combining with simple features, such as absolute amplitude, threshold crossing rate, and autocorrelation function features. The algorithm is validated on both MATLAB software and Arduino Due with 32-bit ARM core microcontroller by using the standard PPG datasets and our real-time PPG datasets. The algorithm achieved a sensitivity of 99.29%, specificity of 95.31% and accuracy of 97.76% with 754 false positive segments and 182 false negative segments of a total of 16 068 unacceptable and 25 772 acceptable segments, respectively. The algorithm provides a promising false alarm reduction rate of 95.31% on different kinds of artifacts and noise. The proposed quality-aware monitoring system can save transmission energy consumption from 3.43% to 95.1% for transmission of noisy 5–60 s PPG signal.
Studies on Lettuce Seed Quality: V. Nutritional Effects1

Lettuce, Lactuca sativa L. , plants were grown in soil irrigated at various intervals with nutrient solution and in hydroponics culture. Increased nutrient level added to the soil increased seed yield but did not give a corresponding increase in seedling performance. Hydroponically propagated seed, although heavier than soil propagated seed, were relatively poor in vigor and germinability. A positive linear correlation was found between N levels (5-15 meq) and seed yield, weight per seed, and seedling vigor. Amounts of amino acids and lipids were not positively correlated with nutrient supply, N level, or seedling vigor. Lettuce seed weight was a useful parameter in predicting seedling vigor only within a seed lot obtained from plants grown under the same environmental and nutritional conditions.
Machine Learning for Construction Process Control: Challenges and Opportunities

- One of the primary drivers of inefficiencies plaguing construction projects world over is the lack of efficient process control in the construction process. This paper explores the idea of construction process control through BIM based quality control. It discusses the challenges of practically implementing BIM based quality control on a construction site and the opportunities for innovation in this space using state-of-the-art Machine Learning methods.
Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence

Under the background of artificial intelligence (AI), a human resource information management system was designed to facilitate hospital human resource management and improve hospital management efficiency. Based on AI, SOA was constructed and Java2 platform enterprise edition (J2EE) was combined with Java to design and research hospital human resource information management system. In addition, the function and performance required by the system were tested. The results showed that the designed system showed high safety in requirement analysis and performance. The function focused mainly on the systematic analysis of personnel management, recruitment management, organization and personnel management, and patient medical information. The constructed system could work normally and achieve the efficiency of hospital human resource management. The evaluation response time of system home page access was less than 1 second when 300 users were concurrent, and the utilization rate of service CPU was lower than 50% without abnormal memory fluctuation. The concurrent response time of all 20 managers online was less than 5 seconds, and the utilization rate of the service was lower than 70%. When the information of 100 employees in the system was queried concurrently, the average CPU utilization of the database server exceeded 90%. After performance optimization, the test result showed that the transaction response time was reduced to 0.23 seconds, which met the target requirement. In conclusion, the proposed intelligent human resource management system could reduce hospital management cost and the high sharing of human resource information provided a reference for the decision-making system of hospital leaders.
Developing Quizizz-Based Learning Media on Digestive System Materials

It requires media innovation in appropriate learning to assist students in comprehending the subject taught so that the intended learning outcomes can be achieved. It motivates schools and teachers to innovate in education relatively quickly. The study aimed to determine the responses and appropriateness of material and media experts as well as teachers and students to the Quizizz media for learning the developed Digestive System teaching materials. The study was conducted using the research and development (R&D). The participants in this study and the content used was on the Digestive System. With a score of 96%, the study concluded that the material experts to the Quizizz media in online learning of digestive system teaching materials for XI class met the very good category. The media experts indicated that the developed learning media met 94.5% for being highly usable. The percentage of teachers who responded to the used media was 94.4%, while students' responses to the use of Quizziz were very good, reaching 91.5%.
3-D Turbulent Heat & Fluid Flow Analysis with Solidification Under Electro-Magnetic Field

In this investigation, 3-D numerical model has been developed to predict turbulent molten steel flow field and solidification phenomena within the thin slab casting mould with electro-magnetic field. The developed numerical model was verified by comparing with experimental data. By using the developed numerical model, the characteristics of EMBR(Electro-Magnetic Brake Ruler)has been investigated in view points of solid shell growth and flow pattern change. From these investigation, it was found that electro-magnetic force changed the flow pattern and solid shell thickness significantly.
Numerical studies of Newtonian and viscoelastic fluids

NUMERICAL STUDIES OF NEWTONIAN AND VISCOELASTIC FLUIDS by Felix J. Alcocer The direct numerical simulation (DNS) approach is used to understand the flow behavior of Newtonian and viscoelastic fluids in porous materials, four-to-one contraction and the flow of a Newtonian fluid past an airfoil. In simulations the viscoelastic fluid is modeled by the finitely extensible nonlinear elastic (FENE) dumbbell and Oldroyd-B models. The finite element method (FEM) is used to discretize the flow domain. The DNS results show that the permeability of a periodic porous medium depends on the wavelength used for arranging particles in the direction of flow. Specifically, it is shown that for a given particle size and porosity the permeability varies when the distance between particles in the flow direction is changed. The permeability is locally minimum for kD 7.7 and locally maximum for kD 5.0; where k is the wave number and D the diameter. A similar behavior holds for a viscoelastic fluid, except that the variation of permeability with kD is larger than for the Newtonian case. For flow in the four-to-one contraction, it is found that the stress near the 3π/2 corner is singular and that the singularity is stronger than for a Newtonian liquid. In the region away from the walls, the stress varies as r -0.47 and near the walls it varies as r^-0.61 Since the singularity is integrable, the flow away from the corner is not effected when the flow around the corner is resolved by using a radial mesh with sufficient resolution in the tangential direction at the corner. The DNS approach is also used to demonstrate that the boundary layer separation on the upper surface of the airfoil can be suppressed by placing injection and suction regions on the upper surface. The simulations are performed for Re <= 500 and angle of attack up to 40° . Analysis of numerical results shows that the pressure contribution to drag decreases when the boundary layer separation is avoided. The viscous contribution to drag, however, increases and thus there is only a negligible decrease in the total drag for Re 500. Another beneficial effect of suction and injection is that the pressure contribution to the lift increases and the stall is avoided. NUMERICAL STUDIES OF NEWTONIAN AND VISCOELASTIC FLUIDS
Data Science Applications and Implications in Legal Studies: A Perspective Through Topic Modelling

Law and legal studies has been an exciting new field for data science applications whereas the technological advancement also has profound implications for legal practice. For example, the legal industry has accumulated a rich body of high quality texts, images and other digitised formats, which are ready to be further processed and analysed by data scientists. On the other hand, the increasing popularity of data science has been a genuine challenge to legal practitioners, regulators and even general public and has motivated a long-lasting debate in the academia focusing on issues such as privacy protection and algorithmic discrimination. This paper collects 1236 journal articles involving both law and data science from the platform Web of Science to understand the patterns and trends of this interdisciplinary research field in terms of English journal publications. We find a clear trend of increasing publication volume over time and a strong presence of high-impact law and political science journals. We then use the Latent Dirichlet Allocation (LDA) as a topic modelling method to classify the abstracts into four topics based on the coherence measure. The four topics identified confirm that both challenges and opportunities have been investigated in this interdisciplinary field and help offer directions for future research.