Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of finite volume and one dimensional network methodologies for thermal management of lighting applications

Signify is focused on building a state-of-the-art, innovative and sustainable solutions for industries, homes, buildings, and communities. In the last decade or so there has been a considerable shift from using traditional incandescent luminaires to highly efficient, cheaper, and robust LED (Light Emitting Diode) based lighting fixtures. LEDs are semiconductor devices and thus their life depends largely on operating temperatures. Thermal management of the lighting fixture, therefore, becomes crucial for the overall performance. Heat sinks are designed for given operating conditions for better thermal management. With the improved LED efficiencies there are two alternatives that the product designer can opt for namely, to increase the lumen output for the present fixture or to reduce the overall heat sink size. To assist the product designer in this aspect, the present paper reports the thermal management of lighting luminaries using two different modelling techniques such as Finite Volume Method (FVM) and One Dimensional (1D) resistive network analysis. These two modelling techniques are employed to predict the temperature profiles on the luminaire and then compared them with the actual test results. The processing time, accuracy, and method of implementation for both these techniques are then discussed.
Effects of inlet velocity profiles for thermal stripping phenomena in T-junctions

This paper investigates the effects of different inlet velocities on thermal stripping phenomena within a T-junction. The computational flow domain is modelled using the Improved Delayed Detached Eddy Simulation (IDDES) turbulence model implemented within the commercial CFD code STAR-CCM+ 12.04. The computational model is validated against the OECD-NEA-Vattenfall T-junction Benchmark data. The influence of flat and fully developed inlet velocity profiles is then assessed. The results are in good agreement with the experimental data. The different inlet velocity profiles have a non-negligible effect on the mean wall temperature. The mean velocity shows lower sensitivity to changes in inlet velocity profiles, whose influence is confined mainly to the recirculation zone near the T-junction.
The Association of Ambient Air Pollution With Cataract Surgery in UK Biobank Participants: Prospective Cohort Study

Purpose Air pollution is associated with chronic diseases of later life. Cataract is the most common cause of blindess globally. It is biologically plausible that cataract risk is increased by pollution exposure. Therefore, the relationship between air pollution and incident cataract surgery was examined. Methods This was a prospective, observational study involving 433,727 UK Biobank participants. Ambient air pollution measures included particulates, nitrogen dioxide (NO2) and nitrogen oxides (NOx). Outdoor air pollution was estimated based on land use regression models. Participants undergoing cataract surgery in either eye were ascertained via data linkage to the National Health Service procedure statistics. Those undergoing cataract surgery within 1 year of baseline assessment and those reporting cataract at baseline were excluded. Cox proportional hazards models were used to examine the associations between air pollutants and incident cataract surgery, adjusting for sociodemographic and lifestyle factors. Results There were 16,307 incident cases of cataract surgery. Higher exposure to PM2.5 was associated with a 5% increased risk of incident cataract surgery (per interquartile range [IQR] increase). Compared to the lowest quartile, participants with exposures to PM2.5, NO2, and NOx in the highest quartile were 14%, 11%, and 9% more likely to undergo cataract surgery, respectively. A continuous exposure-response relationship was observed, with the likelihood of undergoing cataract surgery being progressively higher with greater levels of PM2.5, NO2, and NOx (P for trend P < 0.001). Conclusions Although the results of our study showed a 5% increased risk of future cataract surgery following an exposure to PM2.5, NO2, and NOx, the effect estimates were relatively small. Further research is required to determine if the associations identified are causal.
CRISPR/Cas9 knock-in approach

16 17 The CRISPR/Cas9 system has been used to generate fluorescently labelled 18 fusion proteins by homology directed repair in a variety of species. Despite its 19 revolutionary success, there remains an urgent need for increased simplicity and 20 efficiency of genome editing in research organisms. Here, we establish a 21 simplified, highly efficient and precise strategy for CRISPR/Cas9 mediated 22 endogenous protein tagging in medaka (Oryzias latipes). We use a cloning-free 23 approach that relies on PCR amplified donor fragments containing the 24 fluorescent reporter sequences flanked by short homology arms (30-40bp), a 25 synthetic sgRNA and Cas9 mRNA. We generate eight novel knock-in lines with 26 high efficiency of F0 targeting and germline transmission. Whole Genome 27 Sequencing (WGS) results reveal single-copy integration events only at the 28 targeted loci. We provide an initial characterization of these fusion-protein lines, 29 significantly expanding the repertoire of genetic tools available in medaka. In 30 particular, we show that the mScarlet-pcna line has the potential to serve as an 31 organismal-wide label for proliferative zones and an endogenous cell cycle 32 reporter. 33
Evaluating Quality Characteristics of Ubiquitous Application Through Means of Quality Models using Meta-metrics Approach

Ubiquitous computing shifted the way how users interact with applications. The demand of information anytime and anywhere impacts the daily life of its users, be it work related or personal. Difficulty arises when determining the quality of ubiquitous application due to lack in appropriate metrics of quality models, which serves as the motivation behind this paper. The aim of this paper is to assess the quality of ubiquitous application using comparative analysis of quality model metrics via meta-metrics approach. Preliminary review mapping was conducted where distinctive quality characteristics of ubiquitous applications from AQUARIUM model are identified. Metrics mapping was then conducted to compare metrics characteristics with quality characteristics via value assignment using meta-metrics technique. Results shows that most of the metrics mapped are not of definitive derivation, providing opportunity to have a more structured and defined measurement function.
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation

Cross-Domain Recommendation (CDR) has been popularly studied to utilize different domain knowledge to solve the cold-start problem in recommender systems. In this paper, we focus on the Cross-Domain Cold-Start Recommendation ( CDCSR ) problem. That is, how to leverage the information from a source domain, where items are ‘warm’, to improve the recommendation performance of a target domain, where items are ‘cold’. Unfortunately, previous approaches on cold-start and CDR cannot reduce the latent embedding discrepancy across domains efﬁciently and lead to model degradation. To address this issue, we propose DisAlign , a cross-domain recommendation framework for the CDCSR problem, which utilizes both rating and auxiliary representations from the source domain to improve the recommendation performance of the target domain. Speciﬁcally, we ﬁrst propose Stein path alignment for aligning the latent embedding distributions across domains, and then further propose its improved version, i.e., proxy Stein path, which can reduce the operation consumption and improve efﬁciency. Our empirical study on Douban and Amazon datasets demonstrates that DisAlign signiﬁcantly outperforms the state-of-the-art models under the CDCSR setting.
Fully Collapsible Lightweight Dipole Antennas

Flexible, deployable phased arrays enable novel and diverse applications but necessitate similarly flexible radiators. Here we present a light and flexible 10GHz dipole antenna, which is co-cured to a glass-fiber composite and suited for flexible phased arrays. The antennas are designed to dynamically conform to new array shapes and be flexible enough to fold completely flat and pop back up upon deployment. We employ a pop-up dipole with a capacitive fingers feed for impedance matching that is highly robust against manufacturing errors. Upon deployment, the antennas exhibit a −10 dB-bandwidth >1.5 GHz and >110° half-power beam width single lobe pattern suitable for beamforming.
Electro-Hydraulic Servo Central Position Control System of Strip Based on the Principle of Differential Capacitance

There are some problem for Strip transmission process, such as low deviation information accuracy , poor reliability, poor control results,the electro-hydraulic servo central position control system of Strip based on the principle of differential capacitance was designed. The differential connection is used for eliminating signal drift and the nonlinear characteristics，high frequency power supply is used for reducing output impedance and improving the system bandwidth, double shielded is used for eliminating the impact of parasitic capacitance, the electro-hydraulic servo central position control system based on fuzzy PID is designed. Research shows that the measuring circuit and control system are with high precision, good reliability, maintenance-free advantages.
EXACT SOLUTIONS OF THE CONFORMALLY FLAT UNIVERSE. I. THE EVOLUTION OF MODEL AS THE PROBLEM ABOUT A PARTICLE MOVEMENT IN A FORCE FIELD

The problem reduction of an evolution modelling of the open Universe for conformally flat spacetime metric in Fock’s form to an equivalent problem of a particle movement with an unit mass in a force field is demonstrated. The exact cosmological models filled with a substance and radiation in an approximation of the perfect fluid are found since the Friedman solution by means an introduction of set "mechanical" potentials. In the article the possibility of deriving from the Einstein equations exact cosmological solutions for the open Universe by reduction to the equivalent problem of a mass particle motion in the force field is considered. The cosmological model is filled by substance in an approximation of the perfect fluid with nonzero pressure, generally speaking. The metric of 4D space-time is taken in the Fock form as the metric conformal to the Minkowski metric. This metric has the dependence on one variable. A square of the variable is product of advanced and retarded times. The using of mechanical interpretation of the gravitation equations leads to a possibility of consideration of various mechanics force fields with the subsequent physical interpretation of the found exact cosmological solutions. First of all a movement of a free particle with an unit mass (a mechanical force equals to zero) is considered, i.e. the particle moves on inertia. The fourth degree of discovered law of movement is a conformal factor of the cosmological metric which is conformally flat. This case corresponds to the exact cosmological solution without pressure, coinciding with known the Friedman solution for the open Universe. After that the force field leading to uniformly decelerated motion of a particle is considered. The force potential is taken in the form of linear function. The tangent of a slope angle of the function curve coincides with particle acceleration. Such research leads to the exact cosmological solution asymptotically describing both an incoherent dust, and the ultrarelativistic substance which may be interpreted as an equilibrium radiation. Further a square-law function without a linear term and a constant value is taken as a force potential. Such potential can be interpreted as potential of the free oscillator. The solution of corresponding equation of motion is written down in the form of a cosine function with some initial phase related to the ratio between parameters which define dust-like and ultrarelativistic substance. This conclusion becomes obvious after concidering asymptotic behaviour of pressure and energy density. Besides, the series expansion of a root of the fourth degree from a conformal factor asymptoticly coincides with the law of uniformly decelerated motion in previous case that indicates its particular character.
Public organizational performance: Policy implementation in environmental management in Bandung City Kinerja

This study is motivated by the performance of the Department of Environment and Hygiene Services of Bandung City which has not been optimal. This is partly due to the poor services in the underground water mining sector, thus it is a current synthesis. This study aims to explore and discuss organizational performance through policies that have been implemented. The research method used was a descriptive qualitative approach, using data collection techniques of observation, interviews, and literature study. The results of the study indicate that the performance of public organizations has not been optimal due to low responsibility, responsiveness, and accountability, as well as internal constraints that occur structurally, the competence of human resources and non-human resources that are not appropriate so that it affects performance in the underground water mining sector that does not comply rule. This study concludes that the organizational structure and human resources in public organizations have not been effective and efficient so that the completion of public services is hampered.
Early Influences and the Gender Gap in STEM

Despite the striking reversal of the gender gap in industrialised countries in the last 40 years, women still pursue degrees in science, technology, engineering and mathematics (STEM) much less than their male peers do. I use data from a uniquely rich and largely unexplored source that combines both administrative and survey information on the population of Italian graduates to analyse the determinants of gender gaps in STEM graduation rates for Italian college leaving cohorts from 2010 to 2015, with emphasis on family, cultural and school influences, as well as geographic proximity in the supply of STEM degrees. Half of the gender gap in STEM graduation is attributed to the gender difference in maths and science content of the respective high school curricula. My results indicate that in Italy the gender gap in STEM graduation has its roots in a gendered choice originating many years before. This finding suggests that the role of the influence of environmental factors – such as the family – in the different educational choices of females and males is even greater than can be estimated through this study.
EMPATHY AND CUSTOMERS LOYALTY IN BUSINESS-TO-BUSINESS RELATIONSHIP: A CASE OF AIRTEL NIGERIA’S BUSINESS PARTNERS

In today’s business world, sustainable customer-business relationship is considered pivotal because it is the bridging stone for sustainable competitiveness and performance. There are numerous factors that can help companies grow loyalty towards their brands, but the focus of this paper is on empathy within the service sector. To attain this aim, cross-sectional data was gathered with the aid of structured questionnaire, from Airtel’s business partners in Nigeria. From the data analysis, it is evidenced that the independent variable yield significant influence on the dependent variables. It was found that for every unit increase in empathy, there will be a resulting unit increase (0.276) in the customer loyalty. Thus, empathy was found to yield positive and significant influence on loyalty of Airtel’s business partners. Keyword: Customer, Competitiveness, Empathy, Loyalty, Service Turkish Journal of Physiotherapy and Rehabilitation; 32(3) ISSN 2651-4451 | e-ISSN 2651-446X www.turkjphysiotherrehabil. org 31860
Joint Computing and Radio Resource Allocation in Cloud Radio Access Networks

This paper considers the problem of joint radio and computing resource allocation in Cloud Radio Access Network (C-RAN) architecture. We develop a resource allocation scheme to maximize weighted sum-rate of the system, while minimizing total power consumption. For power consumption, we consider both static and dynamic power consumption in Remote Radio Heads (RRHs), fronthaul links, and Base Band processing Units (BBUs). Our model considers quality of service requirements, fronthaul capacity, maximum transmission power, and computing capacity constraints in a comprehensive formulation. The joint resource allocation problem is non-convex, which is shown to be NP-hard, and thus we apply a number of techniques to convexify the problem. Then, using the Karush-Kuhn-Tucker (KKT) conditions, we show that the problem can be decomposed into two sub-problems that can be efficiently solved using an iterative Quadratically Constrained Quadratic Program (QCQP) and a bin packing algorithm, respectively. The performance of the proposed scheme is evaluated through simulation studies, which shows the proposed scheme outperforms the existing approaches in BBU minimization, total power consumption, and system utility which is defined as the weighted sum-rate minus power consumption.
Cooperatives and Migration: Two paths towards economic security for domestic workers in Ecuador?

The purpose of this paper is to analyze the migrant domestic workers’ state, one of the most vulnerable occupation groups, in the Ecuadorian labor market under the economic security perspective. Firstly, we measure the level of economic security for the case of Ecuador based on the Alkire and Foster’ multidimensional poverty index. Secondly, we estimate two Poisson regression models, for one hand to find the impact of occupation groups’ migration among other individual characteristics on the level of economic security in a decade, and for the other hand, to analyse the effect of cooperative membership among other collective characteristics on the level of economic security. The findings have direct public policy implications since strict laws of workers’ protection such as the Convention 189, seem to be ineffective in practice, hence alternative proposals are demanded. We also show that cooperatives achieve high levels of economic security, as a result, domestic workers cooperatives might also be encouraged contrary to the conventional notion of agricultural or financial cooperatives only.
Analysis of the performance of different implementations of a heuristic method to optimize forest harvest scheduling

Finding an optimal solution of forest management scheduling problems with even flow constraints while addressing spatial concerns is not an easy task. Solving these combinatorial problems exactly with mixed-integer programming (MIP) methods may be infeasible or else involve excessive computational costs. This has prompted the use of heuristics. In this paper we analyze the performance of different implementations of the Simulated Annealing (SA) heuristic algorithm for solving three typical harvest scheduling problems. Typically SA consists of searching a better solution by changing one decision choice in each iteration. In forest planning this means that one treatment schedule in a single stand is changed in each iteration (i.e. one-opt move). We present a comparison of the performance of the typical implementation of SA with the implementation where up to three decision choices are changed simultaneously in each iteration (i.e. treatment schedules are changed in more than one stand). This may allow avoiding local optimal. In addition, the impact of SA – parameters (i.e. cooling schedule and initial temperature) are tested. We compare our heuristic results with a MIP formulation. The study case is tested in a real forest with 1000 stands and a total of 213116 decision choices. The study shows that when the combinatorial problem is very large, changing simultaneously the treatment schedule in more than one stand does not improve the performance of SA. Contrarily, if we reduce the size of the problem (i.e. reduce considerably the number of alternatives per stand) the two-opt moves approach performs better.
Word2Fun: Modelling Words as Functions for Diachronic Word Representation

Word meaning may change over time as a reﬂection of changes in human society. Therefore, modeling time in word representation is necessary for some diachronic tasks. Most existing diachronic word representation approaches train the embeddings separately for each pre-grouped time-stamped corpus and align these embeddings, e.g., by orthogonal projections, vector initialization, temporal referencing, and compass. However, not only does word meaning change in a short time, word meaning may also be subject to evolution over long timespans, thus resulting in a uniﬁed continuous process. A recent approach called ‘Diff-Time’ models semantic evolution as functions parameterized by multiple-layer nonlinear neural networks over time. In this paper, we will carry on this line of work by learning explicit functions over time for each word. Our approach, called ‘Word2Fun’, reduces the space complexity from O ( TV D ) to O ( kV D ) where k is a small constant ( k (cid:28) T ). In particular, a speciﬁc instance based on polynomial functions could provably approximate any function modeling word evolution with a given negligible error thanks to the Weierstrass Approximation Theorem. The effectiveness of the proposed approach is evaluated in diverse tasks including time-aware word clustering, temporal analogy, and semantic change detection. Code at: https://github.com/wabyking/Word2Fun.git .
Lifelong Domain Adaptation via Consolidated Internal Distribution

We develop an algorithm to address unsupervised domain adaptation (UDA) in continual learning (CL) settings. The goal is to update a model continually to learn distributional shifts across sequentially arriving tasks with unlabeled data while retaining the knowledge about the past learned tasks. Existing UDA algorithms address the challenge of domain shift, but they require simultaneous access to the datasets of the source and the target domains. On the other hand, existing works on CL can handle tasks with labeled data. Our solution is based on consolidating the learned internal distribution for improved model generalization on new domains and benefiting from experience replay to overcome catastrophic forgetting.
Evaluation of Performance and Cost-Effectiveness of Polymer-Modified Chip Seals

Chip seals provide a durable and functional pavement surface and serve as a highly economical highway maintenance option when constructed properly. Data and literature suggest that chip seal sections constructed with polymer-modified emulsions (PMEs) provide better initial and long-term performance than those with unmodified emulsions and extend the overall service life of pavements. Laboratory test results were used to compare the performance of chip seals constructed with PME (CRS-2L) with those constructed with unmodified emulsion (CRS-2). Both types of emulsion are used to fabricate samples in the laboratory. The overall performance evaluation in the study is based on rutting, bleeding, and aggregate retention performance measured by the third-scale model mobile loading simulator (MMLS3). Results from these MMLS3 tests indicate that, because of improved mechanical properties, the CRS-2L PME enhances chip seal performance to extend the service life of the pavement. Life-cycle cost analysis of two scenarios (one rehabilitation technique that uses chip seal over existing hot-mix asphalt pavement and another that uses chip seal as original construction), indicates that PME becomes a cost-effective solution if the polymer modification can extend the service life of the chip seal from 5 years (typical service life of an unmodified chip seal) to 7 years. The limited laboratory performance test results provide strong evidence that this extension is possible with the CRS-2L PME used in the study.