Miracle-dz/UniFAR-FTUs huggingface dataset:
Three-dimensional slope stability analysis incorporating unsaturated soil properties in Singapore

ABSTRACT Rainfall-induced slope failure is a natural hazard that occurs in many parts of the world. To identify areas where rainfall-induced slope failure may potentially occur in Singapore, a slope susceptibility map of needs to be developed. Majority of the slope failures occurred in residual soils during or after torrential rainfall. In Singapore, residual soils are generally unsaturated because of the deep groundwater table. Hence, it is important to incorporate unsaturated soil properties (i.e. soil–water characteristic curve) in the development of slope susceptibility map in Singapore. In this study, spatial distributions of saturated and unsaturated soil properties were estimated using ordinary kriging. Seepage analysis of zonation in the residual soil from Bukit Timah Granite was carried out using Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model (TRIGRS), a publicly available software. The resulting pore-water pressures from the seepage analyses were incorporated into Scoops3D for three-dimensional slope stability analyses. Most areas in the investigated zone were found to have high factors of safety. Only 0.054% of the investigated zonation was associated with very low factors of safety.
Mapping and visualization of publication networks of public university faculty in computer science and electrical engineering

We present our process and development of a web-based system to explore the publication networks of faculty in California public universities in the ﬁelds of computer science and electrical engineering. Our project explores collaboration networks in the ﬁelds of computer science and electrical engineering with a focus on publication networks and an analysis of these collaborations with a focus on geospatial organization (which institutions are collaborating with which other institutions). We present our data gathering process, which relies on the Scopus[9] database (Scopus represents a “comprehensive overview of the world’s scientiﬁc research output across all disciplines”), and we present the development of a web-based tool using python and the Google Maps API [12] in order to allow visualizations and explorations of geospatial structures of the publications networks. These visualizations drove further network analysis, which we present here as well.
Development of a New Method for Simulating Gas-to-Particle Conversion During Sodium Pool Fires in SFR Containment

Abstract Sodium combustion oxide aerosols are the main carriers of radioactive materials in a sodium-cooled fast reactor (SFR) during sodium fire accidents. Therefore, it is of great significance to simulate aerosol behavior in sodium pool fires to evaluate radioactive source terms in the containment or environment. In this work, a numerical method has been developed to simulate sodium oxide aerosol behavior during sodium pool fires. The Classical Nucleation Theory has been taken into account to simulate gas-to-particle conversion (GPC). The model has been evaluated theoretically in 280 cases with three main parameters: sodium pool temperature, pool diameter, and oxygen concentration. The correlation established by fitting data points is associated with the sodium evaporation rate. The SFA code has been developed based on advanced sodium pool combustion and aerosol models coupled with GPC correlations. In comparison with the experimental data, the code-calculated average atmospheric temperature, airborne aerosol concentration, and particle size are in good agreement with the data, which indicate that the method is reliable and can be applied in code development in the future.
IS-MRAS With On-Line Adaptation Parameters Based on Type-2 Fuzzy LOGIC for Sensorless Control of IM

: This paper suggests novel sensorless speed estimation for an induction motor (IM) based on a stator current model reference adaptive system (IS-MRAS) scheme. The IS-MRAS scheme uses the error between the reference and estimated stator current vectors and the rotor speed. Observing rotor flux and the speed estimating using the conventional MRAS technique is confronted with certain problems related to the presence of the pure integrator and the rotor resistance causing offsets at low speeds, as proved by the most recent publications. These offsets are disastrous in sensorless control since these signals are no longer suitable to calculate of park angle (θ s ). This paper discusses the new MRAS approach (IS-MRAS) for on-line identification of the rotor resistance suitable for compensating offsets and solving problems of ordinary MRAS at low speed. This new MRAS approach used to estimate the components of the rotor flux and rotor speed without using the voltage model with on-line Setting parameters (K p , K 1 ) based on Type-2 fuzzy Logic. The results of the simulation and the experimental results are presented and show the effectiveness of the proposed technique.
Design and Characterization of Arbitrary Filters with an Integrated Spiral Si3N4/SiO2 Waveguide

We report the optimization of reconstruction algorithm and experiment for an integrated arbitrary filter. A 43-notch filter near 1550 nm is implemented with an ultra-low-loss Si<inf>3</inf>N<inf>4</inf>/SiO<inf>2</inf> spiral waveguide. All notches have uniform depths/widths of about 20 dB/0.2 nm.
Economic feasibility analysis of small-scale aquaculture of the endemic snail Pomacea patula catemacensis (Baker 1922) from southeast Mexico

The snail Pomacea patula catemacensis is an endemic mollusk from the southeast Gulf of Mexico, which is commercially exploited and in decline since 2010. This decline is associated with an increasing market demand and illegal capture. We designed a small-scale production system for P. p. catemacensis and determined its financial feasibility for a base scenario. We used information gathered from stakeholders and stochastic modeling to predict the impact of uncertain variables on the economic indicators to assess the financial viability under varying conditions. The small-scale intensive production system, designed to yield 3.9 tons/year of unshelled product, requires an investment of about US $65,000. The production unit was financially assessed using the Modified Internal Return Rate and The Net Present Value of cash flow, considering a 14% discount rate and a 7% reinvestment rate. We obtained a Net Present Value of $67,000 and a Modified Internal Return Rate of 20% for the base scenario, which indicates the viability of the project. A Monte Carlo simulation was run to assess the robustness of the project to variability of three parameters: labor cost, energy cost, and market price; with random and simultaneous variation, resulting in 95% probability of getting a Modified Internal Return Rate larger than the current interest rate (8%) and a low probability (2.8%) to be financially unviable. This production system is worthy of consideration as an option to reduce the fishing pressure on the tegogolo natural populations of the Catemaco Lake while satisfying the market demand.
Identification and prevention of heterotopias in mouse neocortical neural cell migration incurred by surgical damages during utero electroporation procedures

ABSTRACT In utero electroporation (IUE) is a useful technique for gene delivery in embryonic mouse brain. IUE technique is used to investigate the mammalian brain development in vivo. However, according to recent studies, IUE methodology has some limitations like the formation of artificial ectopias and heterotopias at the micro-injection site. Thus far, the artificial heterotopias generated by physical trauma during IUE are rarely reported. Here, we reported the artificial heterotopias and ectopias generated from surgical damages of micropipette in detail, and moreover, we described the protocol to avoid these phenotypes. For the experimental purpose, we transferred empty plasmids (pCAGIG-GFP) with green fluorescent-labelled protein into the cortical cortex by IUE and then compared the structure of the cortex region between the injected and un-injected cerebral hemispheres. The coronary section showed that ectopias and heterotopias were appeared on imperfect-injected brains, and layer maker staining, which including Ctip2 and TBR1 and laminin, can differentiate the physical damage, revealing the neurons in artificial ectopic and heterotopic area were not properly arranged. Moreover, premature differentiation of neurons in ectopias and heterotopias were observed. To avoid heterotopias and ectopias, we carefully manipulated the method of IUE application. Thus, this study might be helpful for the in utero electroporator to distinguish the artificial ectopias and heterotopias that caused by the physical injury by microneedle and the ways to avoid those undesirable circumstances.
The Cumulative Perioperative Model: Predicting 30-Day Mortality in Abdominal Surgery Cancer Patients

Objectives: 1) To develop a cumulative perioperative model (CPM) using the hospital clinical course of abdominal surgery cancer patients that predicts 30 and 90-day mortality risk; 2) To compare the predictive ability of this model to ten existing other models. Materials and Methods: We constructed a multivariate logistic regression model of 30 (90)-day mortality, which occurred in 106 (290) of the cases, using 13,877 major abdominal surgical cases performed at the University of Texas MD Anderson Cancer Center from January 2007 to March 2014. The model includes race, starting location (home, inpatient ward, intensive care unit or emergency center), Charlson Comorbidity Index, emergency status, ASA-PS classification, procedure, surgical Apgar score, destination after surgery (hospital ward location) and delayed intensive care unit admit within six days. We computed and compared the model mortality prediction ability (C-statistic) as we accumulated features over time. Results: We were able to predict 30 (90)-day mortality with C-statistics from 0.70 (0.71) initially to 0.87 (0.84) within six days postoperatively. Conclusion: We achieved a high level of model discrimination. The CPM enables a continuous cumulative assessment of the patient’s mortality risk, which could then be used as a decision support aid regarding patient care and treatment, potentially resulting in improved outcomes, decreased costs and more informed decisions.
Development of measurement system for microstructures using an optical fiber probe: improvement of measurable region and depth

The precise measurement of microstructures and other micron-sized materials has garnered considerable interest in recent years. However, a limited measurement region and the unavailability of miniaturized probes are the major issues in the realization of such systems. In this study, we have presented a system for microstructures based on a small-diameter optical fiber probe. In the improved measurement system, the prism was installed near the stylus shaft to expand the measurable region and depth. This means that there is no limitation on the width of the measurement object. The standard deviation of the repeatability of the point measurement in the X-, Y- and Z-directions was 31, 38 and 19 nm, respectively. A pin gauge with a diameter of 100 µm was measured ten times for assessing the repeatability of measurements in the X- and Y-directions. The standard deviation of the diameter in these measurements was 25 nm. A step height standard with a calibrated height of 189.6 nm was measured ten times for assessing the repeatability of measurement in the Z-direction. The average height in these measurements was obtained as 200.2 nm with an expanded uncertainty of 49.3 nm (coverage factor k = 2). We confirmed that this system enabled accurate measurement in the X-, Y- and Z-directions.
Joint Extreme Events in Equity Returns and Liquidity and their Cross-Sectional Pricing Implications

We merge the literature on downside return risk and liquidity risk and introduce the concept of extreme downside liquidity (EDL) risks. The cross-section of stock returns reflects a premium if a stock's return (liquidity) is lowest at the same time when the market liquidity (return) is lowest. This effect is not driven by linear or downside liquidity risk or extreme downside return risk and is mainly driven by more recent years. There is no premium for stocks whose liquidity is lowest when market liquidity is lowest.
The Effect of Chronic Illness on Participation in the Supplemental Nutrition Assistance and Medicaid Programs

We examine enrollment in the U.S. Medicaid and Supplemental Nutrition Assistance Programs (SNAP) by health status and find that while SNAP-eligible adults in poor overall health and with multiple chronic conditions are more likely to jointly enroll in SNAP and Medicaid, they are less likely to enroll in SNAP alone. We also find that the conditional probability of SNAP enrollment given Medicaid participation is higher for individuals with multiple chronic conditions, indicating that the Medicaid program facilitates food assistance receipt for these individuals. As a result, both Medicaid expansions and state and federal policies that harmonize eligibility criteria or promote enrollment coordination between SNAP and Medicaid are expected to increase the number of individuals in SNAP with chronic medical conditions. Such a change in the composition of SNAP enrollees would increase the justification for using SNAP as a platform for health promotion initiatives.
Application of the 2PT model to understanding entropy change in molecular coarse-graining

ABSTRACT The effects of coarse-graining on the thermodynamic properties of molecular liquids are studied by computing the standard molar entropies of chloroform, 1,4-dioxane and neopentane using the two-phase thermodynamic (2PT) model. From the trajectory of molecular dynamics simulations, the entropy associated with changing the level of resolution is measured. The entropic contribution coming from the choice of the mapping and from the coarse-grained force field is decoupled. The entropy of the eliminated degrees of freedom is estimated from the rerun of the mapped trajectory, while the additional entropy variation, tied to the coarse-grained force field itself, is quantified by subtraction. In this work the 2PT model is used as a diagnostic tool to analyze how different mappings schemes affect the dynamic modes of the molecules and to quantify the change in entropy. Good agreement between the target density of states of the mapped trajectory and the coarse-grained distribution of normal modes is found. The entropy change upon coarse-graining is discussed in terms of vibrational, rotational, and translational contributions.
Linking FOMO and Smartphone Use to Social Media Brand Communities

Social media brand communities provide firms with the necessary apparatus to develop and maintain relationships. This study explores the effect of fear of missing out (FOMO) and smartphone use on consumer engagement in social media brand communities, which the study hypothesizes to affect consumer loyalty. Data from 279 social media brand community (SMBC) participants were analyzed. Findings reveal that both fear of missing out and smartphone use influence consumer engagement, which in turn influences consumer loyalty in social media brand communities. Furthermore, smartphone use was found to mediate the impact of fear of missing out on consumer engagement.
H∞ Control of Switched Affine Systems with Single Delay: a Lyapunov-Krasovskii Approach with Practical Applications

This paper is on the robust stabilization of switched affine systems with time-delay. The class of systems under analysis is mainly motivated by the energy management of fuel-cell based power applications. Here, using Lyapunov-Krasovskii functionals, we propose a state-dependent switching controller, which ensures global exponential stability and predefined H∞ performance guarantees for the system. Effectiveness of the approach is demonstrated via two practical applications. In the first one, the designed switched policy is able to regulate the output voltage of a fuel-cell system despite unknown exogenous signals. In the second one, the switched strategy guarantees avoidance of congestion in a communication network in spite of noise in the measurements.
Online Guided Imagery in Traumatic Memory Processing for At-Risk Complex PTSD Adults

Abstract This randomized controlled trial investigated the effects of online guided imagery interventions on traumatic memory processing in adults at risk for Complex PTSD (CPTSD). 88 South Korean adults at risk for CPTSD were randomly assigned to either imagery rescripting (IR), imagery rescripting-other (IRO), or control group. In addition to IR components, IRO additionally included other-nurturing imagery. Both the treatment groups had positive changes in affect, trauma-related emotions, and cognitive appraisals that persisted after 1 week. The treatment groups did not differ in their effects on affect regulation, but IR had greater changes in cognitive appraisals than IRO.
Drastic influence of micro-alloying on Frank loop nature in Ni and Ni-based model alloys

ABSTRACT Nickel and its alloys are f.c. c. model materials to investigate the elementary mechanisms of radiation damage and solute effects. This paper focuses on the drastic influence of micro-alloying (0.4 wt.% Ti or Cr) on the nature of defects after ion irradiation. Ultra-high purity materials are used to avoid impurity effects. For the first time, (i) large stable intrinsic Frank loops are identified in nickel while in alloys extrinsic Frank loops are observed; (ii) an eradication mechanism of intrinsic Frank loops is clearly identified; (iii) the morphology of Frank loops is shown to be characteristic of their nature. GRAPHICAL ABSTRACT Impact statement For the first time, a drastic influence of micro-alloying on the defect nature is shown in irradiated Ni systems. Minor addition of solutes modifies significantly elementary mechanisms of radiation damage.
Nutrient content and in vitro digestibility of rejected red seaweed (Eucheuma cottonii) from different origin

The nutrient content and in vitro digestibilty of rejected red seaweed (Eucheuma cottonii) from three different origin locations (regions), Alor, Ambon, and Rote was studied. Rejected seaweed Eucheuma cottoni was obtained from an agar factory located in west kupang subdistrict, Kupang regency, NTT province, Indonesia. Proximate analysis, fiber analysis (NDF, ADF, cellulose, hemicellulose, lignin, silica), mineral analysis (Ca, Mg, Fe, and S) as well as in vitro digestibility (dry matter, organic matter, crude protein, crude fat, crude fiber, NDF, ADF, and lignin) had been studied. Seaweed’s growth location influenced chemical composition and digestibility. In vitro digestibility of crude protein, crude fat, crude fiber, NDF, ADF, and lignin of rejected Eucheuma cottoni from Ambon was higher (p<0.01) than that of rejected Eucheuma cottoni from Alor and Rote. Crude protein and nitrogen free extract content of rejected Eucheuma cottoni from Ambon were also high compared with that of rejected Eucheuma cottoni from Alor and Rote. It is concluded that rejected Eucheuma cottoni from Ambon is better to be used as carbohydrate source feed in calf starter.
Isolation and Antibacterial Activity by in vitro and in silico Approach of 6-Deoxyjacareubin Compound from Garcinia latissima Miq. Fruit

The previous research showed that the fraction C from active extract of Garcinia latissima Miq. fruit was active against Bacillus subtilis. This study aims to isolate and identify the active compound as an antibacterial agent from the fraction C. Fraction C was purified by recrystallization using chloroform and n-hexane solvents and then isolated using preparative-thin layer chromatography-silica gel 60 GF 254 to give a yellow compound. The antibacterial activity was determined using microdilution with thiazolyl blue tetrazolium bromide indicator against B. subtilis American Type Culture Collection 6633. The isolate was identified using UV-Vis, IR, MS, Proton Nuclear Magnetic Resonance ( 1 H-NMR) and carbon NMR ( 13 C-NMR), and NMR-2D techniques including HMQC and HMBC. Based on the spectroscopic analysis and literature review, the compound was identified as 6-deoxyjacareubin, which is a new compound from Garcinia latissima Miq. The 6-deoxyjacareubin showed antibacterial activity with MIC value of 156.25 ppm and was categorized as a weak antibacterial agent because the MIC value was more than 100 ppm. According to in silico approach to the docking study, 6-deoxyjacareubin showed similar hydrophobic interaction with several amino acid residues including C2565, C2589, G2484, U2590, and U5588 between a native ligand.
Neighborhood Composition and Community Garden Locations: The Effect of Ethnicity, Income, and Education

Community gardens provide food, health, and sustainability benefits to surrounding communities. Research demonstrates that low-income or ethnic minority communities develop gardens to resist divestment and provide access to healthy food, whereas white or highly educated communities develop gardens to address local sustainability concerns. Missing from this discussion is a comprehensive picture of the relationship between neighborhood composition and community garden locations. Using GrowNYC and GreenThumb’s 2014 survey of New York City community gardens, this study employs negative binomial and spatial regression methods to examine this relationship. Findings reveal increased numbers of gardens in communities with higher aggregate concentrations of (1) black and/or Latino residents, (2) lower income residents, and (3) well-educated residents, regardless of ethnicity or income. In keeping with qualitative research on motivations for garden development, this study provides crucial quantitative metrics suggesting the diversity of neighborhoods with community gardens and supports their inclusion in urban public policy and city planning.
Executive Function Deficits Mediate Poverty’s Effects on Academic Achievement: Target for Intervention in At-Risk Children

Aim: Determine whether effects of poverty on academic achievement are mediated by effects of poverty on executive cognitive functions. Methods: Web-based classroom-administered tests assessed executive function in 5717 children grades k-8 in 40 schools, and poverty level and academic achievement for each school were drawn from US Department of Education data. Boot-strapping procedures were used to evaluate mediation by executive function of the association between poverty and academic proficiency. Results: Executive function and academic achievement were both related to school poverty (pearson r -0.50 to -0.65, p = 0.0009 to 0.0001). Estimated indirect effects of poverty on reading (-0.26, 95% CI: -0.47, -0.07) and math (-0.23, 95% CI: -0.44, -0.06) through effects on executive function were significant. Controlling for executive function, effects of poverty on reading (-0.58 to -0.31) and math (-0.59 to -0.35) were diminished, indicating partial mediation of effects of poverty on reading and math via effects on executive function. Conclusion: Interventions that enhance executive function in children in impoverished and/or violent environments could mitigate damaging effects of these environments on neurocognitive and associated life and health outcomes. Without intervention, many young adults in troubled areas of the world will be ill-prepared for productive function in society.