Miracle-dz/UniFAR-FTUs huggingface dataset:
Monitoring Network to Automate the Cooling System of a Data Center

1,∗Área de Sistemas Digitales, Departamento de Electrónica, Universidad Autónoma Metropolitana-Azcapotzalco, Ciudad de México, México. Corresponding author ): vlji@azc.uam. mx. http://orcid.org/0000-0002-4226-2936, http://orcid.org/0000-0002-4182-5856, http://orcid.org/0000-0002-0581-7410, http://orcid.org/0000-0002-6875-5683, http://orcid.org/0000-0002-1160-2432, http://orcid.org/0000-0003-0455-007X.
Spatiotemporal modelling in biology : from transcriptional regulation to plasmid positioning

Here I describe how cycles of mathematical modelling and experimenting have advanced our quantitative understanding of two different processes: transcriptional regulation of the floral repressor FLOWERING LOCUS C (FLC ) in Arabidopsis thaliana and spatial positioning of low copy number plasmids in Escherichia coli. Despite the diversity in biological subjects, my spatiotemporal modelling approach provides a common ground. FLC regulation involves an antisense-mediated chromatin silencing mechanism, where alternative polyadenylation of antisense transcripts is linked to changed histone modifications at the locus and altered expression. Mathematical model predictions of FLC transcriptional dynamics are validated by measurements of total and chromatinbound FLC intronic RNA. This demonstrates that FLC regulation involves a quantitative coordination between transcription initiation and elongation, potentially a general feature of gene regulation in a chromatin context. A quantitative analysis of cellular RNA levels indicates that FLC processing and degradation are well described by Poisson processes. FLC transcription correlates with cell volume, which underlies the large cellular variation in transcript levels. Low copy number plasmids in bacteria require segregation for stable inheritance through cell division. This is often achieved by a parABC locus, comprising an ATPase ParA, DNA-binding protein ParB and a parC region, encoding ParB-binding sites. These components space plasmids equally over the nucleoid, yet the underlying mechanism has not been understood. Here I show mathematically that differences between competing ParA concentrations on either side of a plasmid can specify regular plasmid positioning. This can be achieved regardless of the exact mechanism of plasmid movement. Experimentally, parABC from E. coli plasmid pB171 increases plasmid mobility, inconsistent with models based on plasmid diffusion and immobilization. Instead this observation favours a directed motion model. These results unify previously contradictory models for plasmid segregation and provide a mechanistic basis for selforganized plasmid spacing.
5.1 A New Flexible Photogrammetry Instrumentation for Estimating Wing Deformation in Airbus

As part of aircraft certification and optimization, wing bending and twist measurements are performed under various load cases (aircraft weight, speed, angle of attack, etc.) to validate and improve wing deformation models. Since these measurements are acquired during flight, their analysis requires to face strong environmental constraints. Indeed, the highly varying luminosity conditions, the presence of possible reflections or shadows, the vibrations and the deformations of the entire aircraft, are strong constraints that need to be considered carefully. Current approaches applied in Airbus are based on inertial measurement units installed inside the wing, or on photogrammetry-based solutions using calibrated sensors and retro-reflective targets located on the wings. These methods are not only highly intrusive, but also require time-consuming installation, calibration phases and dedicated flights to produce only sparse measurements. Moreover, the use of reflective targets on the wing has an impact on the wing aerodynamic, which should be avoided. In this paper, we investigate a new method for estimating wing deformations. This method adapts a photogrammetry approach classically used for reconstructing buildings or art structures to the aircraft environment. To this aim, we propose to use synchronous videos from high resolution cameras, which can be easily installed on the aircraft windows and on the vertical stabilizer. Appropriate features are extracted from the images acquired by these cameras, related to wing joints or reference points located on the aircraft wing. The system uses these features to autonomously recalibrate itself at each frame and provide a dense 3D reconstruction of the wing in the aircraft reference coordinate system. Some experiments conducted on real data acquired on Airbus aircrafts show that the proposed estimation method provide promising results.
PUBLIC Before the UNITED STATES COPYRIGHT ROYALTY JUDGES The Library of Congress In the Matter of DETERMINATION OF RATES AND TERMS FOR MAKING AND DISTRIBUTING PHONORECORDS

WRITTEN DIRECT TESTIMONY OF BARRY MCCARTHY (On behalf of Spotify USA Inc.) Introduction 1. My name is Barry McCarthy. I am the Chief Financial Officer (“CFO”) of the Spotify group of companies (“Spotify”) and am an employee of Spotify USA Inc. I have served as CFO of Spotify since July 2015. Prior to that, I was a member of Spotify’s board of directors. I graduated with a BA in History from Williams College in 1975 and an MBA in Finance from The Wharton School at the University of Pennsylvania in 1980. 2. Before joining Spotify, I served as a Venture Partner and Executive Advisor at Technology Crossover Ventures. Before that, I was CFO of Netflix for nearly 12 years and CFO of Music Choice for 6 years. 3. My testimony will primarily focus on three points: (1) Spotify has grown rapidly, benefitting rights holders, (2)
Nutritional and bio-efficacy of acha (D. iburua & D. exilis) and soybean (Glycine max) flour blends in rats

The nutritional potentials of acha as alternative energy source to maize in complementary foods was evaluated with a view to increase the accessibility and affordability of complementary foods by the resource poor mothers. The formulated acha-based complementary foods (D. iburua (DIF); D. exilis (DEF)), maize-based complementary food (MCF) and commercial formula (CFF) were evaluated for chemical compositions and nutritional qualities. Data were statistically analysed. Crude protein (g/100g) and energy values (kcal.) of DEF and DIF were 15.28 15.69 and 409.6 405.3 respectively, and were comparable to MCF (15.40; 407.9) and commercial formula (CFF) (15.50; 415.0). Essential amino acids of DEF and DIF were 35.64 and 38.76 g/16N respectively. The Na/K and Ca/P molar ratios of DEF and DIF ranged from 0.59 – 0.60 and 1.67 – 1.71 respectively. Phytate, oxalate and tannin concentrations were within tolerable levels. Biological values and protein efficiency ratios of experimental foods were 87.21 87.81% and 2.94 3.12 respectively, and were higher than maize-based formula (84.32%; 2.02) and commercial formula (86.53%; 2.52). Growth performance of rats fed on experimental were comparable to those fed on commercial formula, but lower in production costs (USD = 0.24) than CFF (USD = 0.90). The acha-based complementary foods were characterized with essential nutrients, ability to support growth and development, affordable and accessible to poor resource mothers; hence, the food samples may be suitable as complementary foods.
Designing and testing low-cost solar water heater using date palm fibers

A solar water heater is a device that captures solar energy and transfers it in the form of heat to water. Solar water heaters are very easy to install and use. They can be adapted to many types of installations. The present work deals with the thermal performance and cost evaluation of a low cost solar water heater. The low cost solar collector designed and fabricated use the date palm fibers as insulation material in replacement of glass wool. To prepare the insulation material the date palm waste has been grinded and used without adding anything. Tests carried out in this work follows the international standard ISO 9806. This standard gives the procedure for the thermal characterization of the solar collector. The results showed that our solar collectors provided good behavior and good performances, close to the performance of a commercial solar collector, with a production cost up to three times cheaper.
Combining Logistic Regression Analysis and Association Rule Mining via MLR Algorithm

—One of the keys in marketing is to recommend the right products to the right customers. This paper proposes a solution to this problem as a part of the development of a new data mining tool PROPCA (Proximus Optimum Canistro). The aim is to use logistic regression analysis and association rule mining together to make recommendations in marketing. An innovative approach in which combination of these two algorithms provides better results than algorithms used stand-alone is presented. While association rule mining searches all rules in the data set, logistic regression predicts a purchase probability of a product for customers. The combination of these two approaches are tested on a real-life banking data set. The results of combination are shown and their suitability in general is discussed.
Soil processes as influenced by heavy metals and the composition of soil fauna

1. The effects of heavy metals (Cu and Ni) on soil processes were studied experimentally in forest microcosms as a function of the presence of different groups of soil fauna (nematodes, microarthropods and enchytraeids). 2. The soil respiration rate was measured at intervals and water leachates were analysed twice for mineral-N. At the end of the experiment, the mass loss of birch leaf litter was determined. 3. The soil respiration and nitrification rates were significantly affected by heavy metals, with lower rates observed in the contaminated soil (200+100 mg kg kg −1 Cu + Ni). In contrast, concentrations of ammonium-N were higher in the leachate from the contaminated soil compared to the control soil. There were, however, no significant differences in litter mass-loss among metal concentrations. 4. The soil respiration rate was affected only slightly by the composition of the fauna, whilst there were significant differences in the amounts of mineral-N leached from microcosms representing different faunal assemblages. 5. Microcosms containing the enchytraeid Cognettia sphagnetorum (Enchytraeidae) released significantly more mineral-N than all the other units in both control and contaminated soils, showing the integral role of enchytraeids in N-dynamics
Challenges and Opportunities in Securing the Industrial Internet of Things

Given the tremendous success of the Internet of Things in interconnecting consumer devices, we observe a natural trend to likewise interconnect devices in industrial settings, referred to as industrial Internet of Things or Industry 4.0. While this coupling of industrial components provides many benefits, it also introduces serious security challenges. Although sharing many similarities with the consumer Internet of Things, securing the industrial Internet of Things introduces its own challenges but also opportunities, mainly resulting from a longer lifetime of components and a larger scale of networks. In this article, we identify the unique security goals and challenges of the industrial Internet of Things, which, unlike consumer deployments, mainly follow from safety and productivity requirements. To address these security goals and challenges, we provide a comprehensive survey of research efforts to secure the industrial Internet of Things, discuss their applicability, and analyze their security benefits.
High-Dimensional Quantum Information: From Sensing to Underwater Quantum Communication

Quantum information has become an exciting field of research in the last 20 years, as experimental advancements allow us to control, manipulate, and detect states of quantum systems. A subset of this field studies the application of high-dimensional quantum states in communication, computing, and metrology. Specifically, this thesis explores the use of the high-dimensional Laguerre-Gaussian (LG) and vector vortex optical modes in underwater quantum communication channels. Making use of these high-dimensional states in quantum communication provides certain advantages including increased security and increased information capacity. We investigate underwater channels characterized by large optical turbulence and signal attenuation. These two challenges are of significant interest underwater communication channels. The detection of high-dimensional states also provides a great challenge for efficiently performing quantum information tasks as the dimensionality of the system increases. Here we study three different sensing sensing protocols, demonstrating how compressed sensing techniques can be very useful for high-dimensional quantum systems. In particular we perform high dimensional quantum process tomography, develop a compressed sensing protocol for LG modes which requires only intensity measurements, and a generalized adaptive compressed sensing protocol which can be used in any high-dimensional quantum systems.
Τhe case of ATTICA study (2002-2012)

Background: In studies of all-cause mortality, a one-to-one relation connects the hazard with the survival and as a consequence the regression models which focus on the hazard, such as the proportional hazards model, immediately dictate how the covariates relate to the survival function, as well. However, these two concepts and their one-to-one relation are totally different in the context of competing risks, where the terms of cause-specific hazard and cumulative incidence function appear. Objective: The aim of the present work was to present two of the most popular methods (cause-specific hazard model and Fine & Gray model) through an application on cardiovascular disease epidemiology (CVD), as well as, to narratively review more recent publications, based on either the frequentist, or the Bayesian approach to inference. Methods: A narrative review of the most widely used methods in the competing risks setting was conducted, extended to more recent publications. For the application, our interest lied in modeling the risk of Coronary Heart Disease in the presence of vascular stroke, by using the cause-specific hazard and the Fine & Gray models, two of most commonly encountered approaches. Results-Conclusions: After the implementation of these two approaches in the context of competing risks in CVD epidemiology, it is noted that while the use of the Fine & Gray model includes information about the existence of a competing risk, the interpretation of the results is not as easy as in the case of the cause-specific risk Cox model. Key wORdS: Competing risks, competing events, cardiovascular disease, epidemiology, survival analysis, Bayesian inference, Maximum likelihood Corresponding author: Prof. Demosthenes B Panagiotakos, DrMed, FRSPH, FACE Harokopio University 70 Eleftheriou Venizelou Ave., 176 71, Athens, Greece Tel. +30210-9549332 E-mail: dbpanag@hua.gr Submission: 16.08. 2019, Acceptance: 30.09. 2019 Research article January April 2020 | 11(1):19–25 events happen, such as death. The majority of its methods are based on the assumption that each study’s participant is at risk of dying from only one cause, e.g., cardiovascular disease (CVD). However, most of the time participants are at risk of dying from more than one cause, which are called competing risks, such as death from stroke or other atherosclerotic disease. In addition, according to,1 competing risks are mutually excluded events, such as death
A Strong, Rectangular Hyperbolic Relationship Links the I0*G60with the Matsuda-Defronzo’s Insulin Sensitivity Index

In a previous work of our group the “I0*G60” -a novel predictor of Insulin Resistance (IR)-, was found when we performed a ROC analysis of several biochemical predictors of IR, including the Matsuda-DeFronzo’s Insulin Sensitivity Index test, ISI) against the Pancreatic Suppression Test (PST). ROC analysis defined the optimal diagnostic cut-offs of several biochemical predictors of IR, including the ISI. The I0*G60 is the product of the I0 (fasting serum insulin value) times the G60 (serum glucose value at 60 minutes of the OGTT). In 90 subjects having both a PST and an OGTT, the I0*G60 outperformed all the studied predictors of IR. The ISI value was calculated in Matsuda’s webpage (ISI-OL). The I0*G60 and the ISI-OL were linearly correlated (r = -0.627). In this work, we plotted the I0*G60 against the ISI-OL in the initial cohort of 90 subjects. The graph was highly suggestive of a rectangular hyperbolic relationship between these two predictors. We, therefore, modelled the relationship as a non-linear regression and obtained an equation describing the I0*G60-based prediction of the ISI-OL: ISI-OL = parameter1* “I0*G60” ^ parameter2. The non-linear determination coefficient (r2) was 0.899. We repeated the procedure with a total of 831 pair of values. The linear correlation coefficient between these variables was -0.573. The resulting graph was again highly suggestive of a rectangular hyperbolic relationship. The modelling produced the final predictive equation: ISI-OL = 782.7 * “I0*G60” ^ 0.744. The determination coefficient (r2) was 0.822. We conclude that the main reason for the excellent performance of the I0*G60 resides in its ability to accurately predict the ISI-OL value.
EFFECT OF EXTRUDED FIELD BEANS “FUEGO” (Vicia Faba) ON DAIRY COW’S PERFORMANCE AND MILK SENSORY PROPERTIES

The aim of our research was to determine effect of extruded fodder beans on dairy cows performance and milk sensory properties. For the experiment selected 24 Lithuanian Black-and-White cows with analogous characteristics and randomly allocated into 2 groups (control and experimental), 12 animals each. The experimental groups‘ cow‘s were fed a similar diet, but instead of 9 kg of compound feed with non-extruded field beans, the cows were given the same amount of compound feed with extruded beans, cow per day. All training and data collection sessions were held in the sensory analysis laboratory of Kaunas University of Technology Food institute established according to ISO 8589 requirements The results of this study showed that a non-extruded beans replacement with extruded beans in dairy cow‘s diets, had possitive effect on milk yield. The results of milk sensory properties showed that non-extruded beans replacement with extruded beans in dairy cows’ rations did not have a negative influence on milk sensory parameters. Milk samples of both groups (control and experimental) did not differ by odour intensity, and every sample had an apparent milk’s specific odour.
Acoustic Attraction of Herons by Crickets

Male crickets of the species Anurogryllus celerinictus attract mates after sunset by giving a loud sustained calling song. A predator, the heron, Florida coerulea uses this sound to locate its prey. F. coerulea was also attracted to a tape recorded song of A. celerinictus.
ROOT AND SEEDLING WEIGHT OF BREAD WHEAT (TRITICUM AESTIVUM L.) GENOTYPES AND RELATION WITH PHYSIOLOGICAL PARAMETERS

An experiment was carried out to assess of root weight and seedling weight of advanced bread wheat genotypes and relation with yield and physiological parameters. A total of 25 bread wheat genotypes were tested during 2017-2018 growing year in Edirne location in Trakia region, Turkey. The experiment was conducted in a randomized complete blocks design (RCBD) with four replications. Grain yield, biomass, canopy temperature, chlorophyll content, seedling fresh and dry weight, root fresh and dry weight were investigated. The mean grain yield for four locations was 6161 kg ha. The highest grain yield performed by cultivar Köprü (7781 kg ha) and the lowest by G9 (6124 kg ha). The mean values of the genotypes were varied from 42.6 to 51.2 for chlorophyll content and G4 had higher chlorophyll content. Canopy temperature and biomass (NDVI) was measured at heading (Z55), and anthesis stages (Z69) of the genotypes. Biomass was scaled at three growth stages and there were significant differences (P<0.01) among genotypes and G16 had higher biomass. Roots of the plant were removed from a depth of 15 cm in the period of the Z25 growth stage. There were significant differences among genotypes for seedling weight and root weight. Root fresh weight was varied from 3.25 g (Selimiye) to 6.77 g (G13) and, the mean was 4.49 g. The mean seedling dry weight of the genotypes was 1.71 g, the lowest was 0.99 g (Selimiye) and the highest was 3.15 g (G13). Root weight positively affected grain yield. It was found a slightly significant positive correlation between roots fresh and dry weight with grain yield. There was a slight positive relation with seedling fresh weight and seedling dry weight with biomass (NDVI) at Z55 and Z69 growth stages. There was a negative slight relation with seedling dry weight and canopy temperature at Z55 and Z69 growth stages. Grain yield was also significantly positively associated with chlorophyll content at Z55 (r=0.555**) and, negatively correlated with canopy temperature at Z45 (r=-0.534**). Results showed that seedling and root weight and physiological parameters such as chlorophyll content and canopy temperature could be used in selection in bread wheat for yield potential.
DETERMINATION OF WATER ORIGIN AND DISTRIBUTION FOR LOWLAND TROPICAL RAINFOREST IN PENINSULAR MALAYSIA

This paper is presenting the isotopes analysis of oxygen (δ18O) and hydrogen (δ2H) for determination of water origin in lowland tropical rainforest at Pasoh Forest Reserve (FR), Peninsular Malaysia. Pasoh FR is located at the drier region in Peninsular Malaysia, therefore changes in rainfall pattern and amount are an important aspect to be investigated to maintain the hydrological cycle in this forest with respect to future climate change. The previous study reveals that the forest maintained stable evapotranspiration even in a prolonged dry season. The aim of this study is to determine the origin of precipitation in this forest with the engagement of stable isotope analysis. We investigated the daily and seasonal variability of stable isotope signatures in precipitation, particularly in relation to the effects of monsoon seasons, rainfall characteristics and larger-scale trends compared with those at nearby Global Network of Isotopes in Precipitation (GNIP) monitoring stations. The findings suggested that the isotopic composition in the study area was the result of a rainout on a larger scale in addition to the local scale and specific rain events. We also use the stable isotope to distinguish the compartmentalisations of precipitation in this forest for determination of forest water use and distribution. It was found that Isotope signatures for water sources of the plants, soil, and stream were all different. This is the initial stable isotope study for this forest. The result would be beneficial to investigate further water usage in the forest as the potential impact of climate change. The information obtained from this study would be also useful as fundamental references for further advancement in forestry research.