Miracle-dz/UniFAR-FTUs huggingface dataset:
ACETED T RUST B ASED R ECOMMENDATION

Recommendation systems play a decisive role in the choices we make on the internet. They seek to tailor decisions to a user. This makes trust a very important factor in recommendation systems, since it is believed that users are similar to the people that they trust, and hence will make similar choices to those users. Trust and its effects on the choices people make have been widely studied in the context of collaborative recommendation systems. It is understood that trust is not a single-faceted entity but can vary contextually. Recent research in the domain of trust based recommendation systems has shown that taking into account the facets of trust greatly improves the quality of recommendations (Mauro et al., 2019; Fang et al., 2015). We propose a recommendation system that takes multiple facets of trust into account while looking at how suitable a product might be for a particular user. The architecture proposed for this Multi-Faceted Trust Based Recommender (MFTBR) allows for extensibility new facets of trust can be added without much effort and dynamicity trust facets are not weighed arbitrarily. Instead, the weights are optimised for the best result via a neural network. The trust facets considered here are local, global and category-wise trust. MFTBR performs significantly better than basic collaborative filtering U2UCF (C. Desrosiers, 2011), as well as some established models in the domain of social and trust based recommendation systems MTR (Mauro et al., 2019) and SocialFD (Yu et al., 2017). Thus, our model provides a better approximation of real-life recommendations, taking into account not only the impact of trust on recommendation, but the context in which trust is established.
se-2021-45 Reply to Reviewers: RC1

Reviewer Comment Dr. Prabhakaran and co-authors here present a novel approach to spatial network analysis of fractures. This approach involves quantifying hierarchical clustering based on similarity of four statistics: fingerprint distance, D-measure, NetLSD, and portrait divergence. Hierarchical clusters are identified based on the similarity of areal sub-samples of a large fracture map (the example here being the Lilstock anticline, UK). The authors show maps of their results, noting apparent spatial autocorrelation in all analyses except for NetLSD.
11.4: Research Methods in Social Psychology

Social psychologists are interested in the ways that other people affect thought, emotion, and behavior. To explore these concepts requires special research methods. Following a brief overview of traditional research designs, this module introduces how complex experimental designs, field experiments, naturalistic observation, experience sampling techniques, survey research, subtle and nonconscious techniques such as priming, and archival research and the use of big data may each be adapted to address social psychological questions. This module also discusses the importance of obtaining a representative sample along with some ethical considerations that social psychologists face.
Demographic Equality of Access to Cognitive Behavioural Treatment for Early Psychosis in Community Mental Healthcare in Greater London

Individuals experiencing psychosis have been described as one of the most stigmatised, disadvantaged and socially excluded groups in modern societies. Despite the development of evidence-based psychological treatments for psychosis, the access to such intervention remains debateable. In metropolitan areas, where clinical caseloads of mental health services should reflect the ethnic diversity of local populations, equal provision of recommended therapies might be further confounded, while empirical literature investigating this appears limited. The present study inspects equality of access to cognitive behavioural therapy for psychosis across four specialist healthcare teams located in Greater London. Subsequent acceptance and participation in treatment are also examined. A retrospective analysis of electronic medical records of 244 patients was conducted using binary logistic regression and multiple linear regression. Participants were shown to have received treatment offers equally across demographic variables. Likewise, once the treatment commenced, engagement was equally distributed. However, despite having equal access to the offered treatment, patients of Black ethnic group seemed less likely to accept such offer, hence appeared disadvantaged in terms of treatment provision. This study demonstrates that, in multicultural communities, equal access to core interventions for psychosis is achievable, however does not on its own merits ensure equitable treatment provision. Thus mental health services need to proactively focus on specific ethnic groups requiring further efforts to increase treatment uptake.
ITC 2019 : University Course Timetabling with MaxSAT

This paper describes the UniCorT tool designed to solve uni versity co u r se t imetabling problems speciﬁcally tailored for the 2019 International Timetabling Competition (ITC 2019). The proposed approach comprehends pre-processing, the use of a Maximum Satisﬁability (MaxSAT) solver, and a local search procedure. UniCorT is assessed with the benchmark instances from ITC 2019. The impact of a handful of techniques in the quality of the solution and the execution time is evaluated. We take into account diﬀerent pre-processing techniques and Conjunctive Normal Form (CNF) encoding, as well as the combination with a local search procedure. The success of our tool is attested by having been ranked among the ﬁve ﬁnalists of the ITC 2019 competition.
A Thyroid Hormone-Independent Molecular Fingerprint of 3,5-Diiodothyronine Suggests a Strong Relationship with Coffee Metabolism in Humans

Background: In numerous studies based predominantly on rodent models, administration of 3,5-diiodo-L-thyronine (3,5-T2), a metabolite of the thyroid hormones (TH) thyroxine (T4) and triiodo-L-thyronine (T3), was reported to cause beneficial health effects, including reversal of steatohepatosis and prevention of insulin resistance, in most instances without adverse thyrotoxic side effects. However, the empirical evidence concerning the physiological relevance of endogenously produced 3,5-T2 in humans is comparatively poor. Therefore, to improve the understanding of 3,5-T2-related metabolic processes, we performed a comprehensive metabolomic study relating serum 3,5-T2 concentrations to plasma and urine metabolite levels within a large general population sample. Methods: Serum 3,5-T2 concentrations were determined for 856 participants of the population-based Study of Health in Pomerania-TREND (SHIP-TREND). Plasma and urine metabolome data were generated using mass spectrometry and nuclear magnetic resonance spectroscopy, allowing quantification of 613 and 578 metabolites in plasma and urine, respectively. To detect thyroid function-independent significant 3,5-T2—metabolite associations, linear regression analyses controlling for major confounders, including thyrotropin and free T4, were performed. The same analyses were carried out using a sample of 16 male healthy volunteers treated for 8 weeks with 250 μg/day levothyroxine to induce thyrotoxicosis. Results: The specific molecular fingerprint of 3,5-T2 comprised 15 and 73 significantly associated metabolites in plasma and urine, respectively. Serum 3,5-T2 concentrations were neither associated with classical thyroid function parameters nor altered during experimental thyrotoxicosis. Strikingly, many metabolites related to coffee metabolism, including caffeine and paraxanthine, formed the clearest positively associated molecular signature. Importantly, these associations were replicated in the experimental human thyrotoxicosis model. Conclusion: The molecular fingerprint of 3,5-T2 demonstrates a clear and strong positive association of the serum levels of this TH metabolite with plasma levels of compounds indicating coffee consumption, therefore pointing to the liver as an organ, the metabolism of which is strongly affected by coffee. Furthermore, 3,5-T2 serum concentrations were found not to be directly TH dependent. Considering the beneficial health effects of 3,5-T2 administration observed in animal models and those of coffee consumption demonstrated in large epidemiological studies, one might speculate that coffee-stimulated hepatic 3,5-T2 production or accumulation represents an important molecular link in this connection.
Analysis of electrical resistance changes in liquid metal printed wires under strain for stretchable electronics

Eutectic gallium–indium (eGaIn) is an electrically conductive metal that is liquid at room temperature and has been used for electrical wires in a variety of stretchable electronics. However, only tensile directional and tensile-vertical eGaIn wires have been analyzed in detail with regard to their resistance changes under tension, limiting the ability to precisely predict and adjust resistance changes in eGaIn-based electronics. To overcome these limitations, this study formulated and validated models for prediction of the resistance changes in tilted and circular arc-shaped eGaIn wires under uniaxial strain. In tensile tests, the prediction models showed not only changes in resistance highly similar to the actual resistance changes in the strain range from 0% to 150% with root mean square errors of less than 0.05 between the predicted and measured resistance changes, but also adjustability of the resistance changes under tension according to the initial tilt angle of the tilted eGaIn wires or initial shape of arc eGaIn wires. Additionally, the prediction models developed and applied for eGaIn-based applications, including eGaIn strain sensors, heaters, and stretchable wires, yielded accurate predictions. The proposed models are expected to be useful for the precise prediction of resistance changes and pattering of eGaIn-based stretchable electronics.
Comparison between seismic performance of G+5 building with and without Fluid Viscous Dampers

Earthquake causes numerous loss of lives and damage to property. On 18 September 2011, Sikkim also experienced a major earthquake of magnitude 6.9 resulting in large-scale destruction. Therefore, as an attempt to prevent such scenarios, there are various techniques available to manage this problem one of which is by using dampers on building structures. The main objective of this study is to compare the seismic performance of G+5 building with and without dampers. The modelling and analysis in this study are done using “ETABs” software for G+5 story building as the maximum no. of floors allowed in Sikkim is six. The proposed model showed a drastic reduction in the displacement of the building using FVDs.
An investigation into Parametric Modelling and FDM based Rapid Prototyping of Lumbar Spine

Low back pain is the acute problem faced by workforce in the world today. Four out of five adults experience significant low back pain sometimes during their life. Mostly, low back pain problem can only be solved by operations. Each time doctors carrying out operations need to study the patient spine. The objective of the present work is to generate parametric model of lumbar spine using event driven programming approach of Visual Basic 6.0 and CATIA V5 R10. In parametric modelling, the features are parameterized by giving them meaningful labels and relationships between parameters in the entire model rather than giving only fixed numeric values. The output of the developed model is compared with the specimen samples of lumbar spine. Additive manufacturing using FDM (Fused Deposition Modelling) is used for 3D printing the spine model. Thus, the present work will give an insight into additive manufacturing of patient specific model and analyze the outcome before the clinical procedures.
Insights into unconventional behaviour of negative capacitance transistor through a physics-based analytical model

The present work investigates key attributes of metal–ferroelectric–metal–insulator–semiconductor (MFMIS) cylindrical nanowire (NW) transistor through a physics-based analytical model. The proposed NW MFMIS negative capacitance model is developed by solving the baseline short channel NW model coupled with one-dimensional Landau’s equation while considering the radial dependency of electric field in the ferroelectric, a key feature for NW architecture. Contrary to the expected behaviour of a short channel MOSFET, the analytical framework successfully captures the unconventional effects such as an increase in the threshold voltage, lowering of subthreshold swing, and a negative value of drain-induced barrier lowering with gate length downscaling in MFMIS cylindrical NW devices. Also, the impact of ferroelectric thickness, spacer induced polarization charge density, remnant polarization and coercive field on the unconventional short channel effects have been examined. The influence of different ferroelectric materials (Al–HfO2, Gd–HfO2, Y–HfO2, and HZO) on the extent of internal amplification has also been investigated. The developed model provides new insights into the functioning and optimization of NW MFMIS architecture for facilitating hysteresis-free high internal voltage amplification with sub-60 mV/decade swing.
Isolation, Identification and Characterization of a Thermo-halotolerant Aeribacillus Pallidus SHJP4, from the Arid Region of Rajasthan

The bacterial strain SHJP4 was isolated from the soil samples of arid and semi-arid zones of Rajasthan. SHJP4 experimentally confirmed to be a gram positive, rod shaped, aerobic, motile and endospore forming. The optimum growth was seen at 55°C and at alkaline pH. The strain was able to adapt itself in the medium containing 5% NaCl. The DNA was isolated from the culture and checked on 1.2% agarose gel. After amplification and sequencing by 16S rRNA the strain was identified as Aeribacillus pallidus based on nucleotide homology and Phylogenetic analysis and Bayesian. The strain SHJP4 is deposited to NCBI with accession number-MK296526.
Experimental Investigation of configuration types and array of external heat sources on downward spreading fires

Scholars and scientists have been attempting to discover ways to control and lessen the reverberation of concurrent fires such as forest fires, building fires, and other various space fires but no convincing solutions have been concluded from their studies so far. The fundamental genesis of these types of fires concerns the unstable nature of the flames and considerable unpredictability associated with them. This led us to make an effort to study the etiquette of such flames – an experimental setup with rather ideal conditions was devised and an in-depth study was carried out. The present study predominately covers the study of fire propagation phenomena and the zeal of fire control in our daily life. This study includes the review of the varying regression rates and fire spread rates of flames as noticed in matchsticks when spaced in a linear orientation. The deportment instability of the flames will give us an insight into the heterogeneous fire propagation phenomenon and its control. Intuition into the heterogeneous fire propagation is expected for essential fire safety and, on its basis, an algorithm for the same is to be formulated. With this understanding along with the existing information, it might give us some possible solution to the reduction of such kinds of fires in buildings, forests, space propulsion systems and, large-scale fires in industries.
Development and evaluation of 0.05° terrestrial water storage estimates using CABLE land surface model and GRACE data assimilation of GRACE data

Accurate estimation of terrestrial water storage (TWS) at a meaningfulhigh spatiotemporal resolution is important for reliable assessments of regional water resources and climate variability. Individual components of TWS include soil 10 moisture, snow, groundwater, and canopy storage and can be estimated from the Community Atmosphere Biosphere Land Exchange (CABLE) land surface model. The spatial resolution of CABLE is currently limited to 0.5° by the resolution of soil and vegetation datasets that underlie model parameterizations, posing a challenge to using CABLE for hydrological applications at a local scale. This study aims to improve the spatial detail (from 0.5° to 0.05°) and timespan (1981 – 2012) of CABLE TWS estimates using rederived model parameters and high-resolution meteorological forcing. In addition, TWS 15 observations derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission are assimilated into CABLE to improve TWS accuracy. The success of the approach is demonstrated in Australia, where multiple ground observation networks are available for validation. The evaluation process is conducted using four different case studies that employ different model spatial resolutions and include or omit GRACE data assimilation (DA). We find that the CABLE 0.05° developed here improves TWS estimates in terms of accuracy, spatial resolution, and long-term water resource assessment 20 reliability. The inclusion of GRACE DA increases the accuracy of groundwater storage (GWS) estimates and has little impact on surface soil moisture or evapotranspiration. The use of improved model parameters and improved state estimations (via GRACE DA) together is recommended to achieve the best GWS accuracy. The workflow elaborated in this paper relies only on publicly accessible global datasets, allowing reproduction of the 0.05° TWS estimates in any study region.
Evaluation of Entire Ovine Cartilage Repair Articular Surfaces: Mechanical and Electromechanical Assessment

Material & Methods: Electromechanical ex vivo mappings of articular surfaces were obtained in distal condyles from 5 sheep (8 – 9 y-o, 9 months post-surgery, bone marrow stimulation model) and 2 control sheep (8 years old) with the Arthro-BST (Biomomentum, Laval) which has a hemispherical indenter (r=3.175mm) to measure electromechanical properties by the quantitative parameter (QP), followed by automated indentation mappings to 50 μm with the Mach-1 (Biomomentum, Laval) with a spherical indenter (r=0.5mm) at the same positions to measure structural stiffness (load/indentation depth). Selected test sites were analyzed histologically and by unconfined compression.
Recent findings in the use of reflectance oximetry: a critical review

Purpose of review Pulse oximetry is ubiquitous but detailed understanding of the technology is poor. This is illustrated by publications addressing knowledge of pulse oximetry and those warning against the use of transmission pulse oximeter sensors in a reflectance manner, unintended by the manufacturers, owing to the potential for iatrogenic problems. Reflectance oximetry sensors are distinct and their application rather specific. Users must adhere to the manufacturer's guidelines to be assured of approximating the claimed accuracy and other specifications. Moreover, a thorough understanding of the device's shortcomings will optimize performance and avoid misuse. Cautious skepticism is appropriate with use of any technology but particularly with indirect measures of vital signs. Recent findings The studies of reflectance sensors described here illustrate a diversity of successful applications and opportunities for further research. The genesis of applications for some sensors, for example fetal sensors, has proven helpful in other clinical settings where low mean arterial pressure and need for accurate monitoring of a SpO2 of less than 80% is poorly provided by transmittance sensors. Reflectance sensors are more prone to placement over contaminating sources (for example arteries and pigmentation), but their more sophisticated design can provide greater versatility than transillumination methods. Summary This invited review highlights recent developments and applications of reflectance oximetry with an emphasis on the potential clinical and research advantages.
Algorithmic Trading with Deep Learning

In this paper, Artificial Neural Network (ANN) is used to predict trading signals like Strong Buy, Buy, Neutral, Strong Sell and Sell a total of 5 signals. The ANN outputs one of the trading signals based on the market data of cryptocurrencies. The ANN makes use of the candle-stick data along with additional data like Volume, Number of Trades, etc and technical indicators to predict the signals. The ANN is trained on multiple intervals of the market, i.e. 1 minute, 3 minutes, 5 minutes and so on up to 3 days in the intervals. Along with the market data, the paper also makes use of the news articles to better predict the trading signals, this is only used when the ANN predicts the Buy or Sell, and by using the news articles those Buy and Sell signals are converted to Strong Buy and Strong Sell respectively. The ANN was trained on 3 years of data, and Google’s BERT [1] model was trained on almost 1000 news article’s titles on topics related to cryptocurrencies and the model outputs whether it’s a positive or negative title. The accuracy of the ANN models for all the markets is in the range of 85 - 90% and the same accuracy is observed with the BERT model which is trained on the news article’s title.
Minimum Wage Effects on Human Capital Accumulation: Evidence from Canadian Data

IZA DP No. 14178 MARCH 2021 Minimum Wage Effects on Human Capital Accumulation: Evidence from Canadian Data* This paper investigates the impact of the minimum wage on individuals’ schooling decisions and the type of human capital acquired by students. Using Canadian longitudinal data, we explore 136 minimum wage amendments across provincial jurisdictions, and find three novel results. First, the minimum wage affects both the quantity and the type of human capital acquired by individuals. High minimum wages stimulate the accumulation of occupation-specific human capital at community colleges but discourage enrollment in academic programs offered by universities. Quantitatively, a 10% increase in the minimum wage increases community-college enrollment by 6% and reduces university enrollment by 5%. Second, high minimum wages strengthen the link between parental background and children educational attainment, worsening the university participation gap between individuals with high and low parental education. Finally, minimum wages also affect whether students dropout of post-secondary education or return to school later in life as mature students. JEL Classification: J31, J38, J24, I23
Does money strengthen our social ties? Longitudinal evidence of lottery winners

We study the effect of lottery wins on the strength of social ties and its different types, including support networks, in the United Kingdom. On average, we find that winning more in the lottery increases the probability of meeting friends on most days, which is consistent with the complementary effect of income on the strength of social ties. The opposite is true with regards to social ties held for more instrumental reasons such as talking to neighbours. Winning more in the lottery also lessens an individual support network consistently with a substitution of income and support network. However, further robustness checks reveal that such average lottery effects are driven by individuals exhibiting very large wins only, thus suggesting that small to medium-sized wins (below £10k) may not be enough to change people’s social ties and support network in a substantial way.