Miracle-dz/UniFAR-FTUs huggingface dataset:
CMSD: A Model Supporting Manufacturing and Simulation Application Integration

: Standard representations for key manufacturing entities could help reduce the costs associated with simulation model construction and data exchange between simulation and other software applications. This change would make the use of simulation technology more affordable and accessible to a wide range of potential industrial users. To help foster this change, the Core Manufacturing Simulation Data (CMSD) specification was created. CMSD is a neutral, computer-interpretable representation for manufacturing shop floor related information. CMSD defines an information model that describes the characteristics of and relationships between the core manufacturing entities that define shop floor operations. This paper provides an overview of CMSD and describes how it can be used to enable data exchange between simulations and other manufacturing applications.
Does Order Flow in The European Carbon Futures Market Reveal Information?

This paper identifies the classes of agents at play in the European Carbon Futures Market and analyses their trading behaviour during the market's early development period. A number of hypotheses related to microstructure are tested using enhanced three-regime specifications of smooth transition autocorrelated duration (ACD) models. The empirical analysis documents three distinct patterns of trading behaviour supportive of the notion that the market is characterised by three different groups of traders: informed trading characterised by high intensity, uninformed or non-discretionary liquidity trades which arrive randomly, and fundamental or discretionary liquidity trades which have lagged behaviour. There is evidence that OTC trades are distinct to regular trades and are used strategically by the informed. The analysis also suggests that fundamental traders learn or react faster in Phase II and the informed counteract by increasing the size and speed of their trades. This may be indicative of enhanced market transparency and increased market maturity. JEL Classifications: C41; C58/G15.
Smart Traﬃc: Intelligent Traﬃc Light Control

: The Study group participants for the Intelligent Traﬃc Light Control assignment were tasked with investigating the use of autonomous traﬃc light controls for a network of road intersections such as the road map of a city. Smart Traﬃc, the software used and designed by our client Sweco, is designed to control a single intersection. Our task involved optimising the traﬃc ﬂow without the need for global (e.g. city wide) governance of all traﬃc lights. This would both ﬁt with the existing approach in Smart Traﬃc, avoids bad experiences in the past, and mathematically avoids a huge explosion of the state space. Unfortunately, the Smart Traﬃc software was not available for use and study, and this somewhat limited the approaches we considered. Instead, the software was treated as a black-box, for which we only knew an idealised version of the cost function that the software tried to optimise. We therefore focused on ﬁnding a method to have multiple instances of this control coupled to each other in a loose and comparatively simple way. The methodology of Smart Traﬃc meant that each intersection would act in a ‘greedy’ fashion, working solely with local information and without any regard for neighbouring intersections. We were advised to devise simple ways in which the software could be adapted, such that each intersection would use only limited information about its neighbours. In particular we should avoid direct communication of optimisation strategies between neighbouring intersections. Indeed, this would be akin to using a global optimisation scheme for the entire network. The approach that we settled upon, was that each intersection implements a (time-dependent) cost function like for the existing Smart Traﬃc software, but modiﬁed to take into account the expected wait-time of downstream traﬃc. This balances local wait-times with future expected wait-times at neighbouring intersections as communicated by their nearest neighbours. It should result in intersections being less eager to release traﬃc in a direction where cars would, in the near future, be waiting a long time, and would be sending cars at a reduced rate in the direction of an already congested intersection. At the same time, each instance remains in control of the traﬃc at a single intersection.
Determinants of Poverty in Sri Lanka

Combating poverty is a problem in Sri Lanka as the pockets of severe deprivations are widely acknowledged. In this research, the prime objective was to find determinants of poverty. For this purpose, 2002 Household Income and Expenditure survey (HIES) data of fifteen poorest Divisional Secretariat (DS) divisions are used. Binary logistic modeling was used to find the determinants of poverty and to quantify effects. Principal Component Analysis and Factor Analysis were used for visualization of multidimensional data. The logistic regression model results show that, the household size, highest education level, total household income, number of income receivers and age of the household head are influential factors to being poor. Factor analysis and principal component analysis, resulted in the variables extracted into clearly defined and interpretable four factors (economic, household factors, household head characteristics and number of income receivers) to identify the status of poverty
Do non-relativistic neutrinos constitute the dark matter?

The dark matter of the Abell 1689 Galaxy Cluster is modeled by thermal, non-relativistic gravitating fermions and its galaxies and X-ray gas by isothermal distributions. A fit yields a mass of h70½(12/ḡ)1/4 1.445(30) eV. A dark-matter fraction Ων=h70-3/20.1893(39) occurs for ḡ = 12 degrees of freedom, i.e., for 3 families of left- plus right-handed neutrinos with masses ≈23/4GF1/2me2. Given a temperature of 0.045 K and a de Broglie length of 0.20 mm, they establish a quantum structure of several million light years across, the largest known in the Universe. The virial α-particle temperature of 9.9±1.1 keV/kB coincides with the average one of X-rays. The results are compatible with neutrino genesis, nucleosynthesis and free streaming. The neutrinos condense on the cluster at redshift z∼28, thereby causing reionization of the intracluster gas without assistance of heavy stars. The baryons are poor tracers of the dark-matter density.
Apparent Rates of Fe(II) Oxidation and Associated Hydrogeochemical Interactions in an Extensively Mined Watershed, Pennsylvania, USA

Base4ow in the West Branch Schuylkill River, which drains a 61.8 km2 watershed in eastern Pennsylvania, consists of coal-mine drainage (CMD) from two large outfalls. During 2005–12, the CMD had elevated Fe(II) concentrations but was net alkaline with near-neutral pH (5.3–7.3). Along a 4,950 m 4ow path downstream of the outfalls, pH increased by as much as 1 unit and Fe concentrations decreased by 30 to 95 % because of CO2 degassing and Fe(II) oxidation, respectively. Iron attenuation was greatest during low 4ows when transport times, pH, and temperature were greatest. Fe(II) oxidation was consistent with the Singer-Stumm abiotic, homogeneous rate model.
Brain-specific microRNAs induce neurogenesis through indirect regulation of Mef2C activity

OF THE DISSERTATION Brain-specific MicroRNAs Induce Neurogenesis Through Indirect Regulation of Mef2C Activity By LOYAL ANDREW GOFF Dissertation Director: Ronald P. Hart MicroRNAs represent a group of functional non-coding RNAs (ncRNA) with a role in both translational repression and/or RNAi-mediated degradation of specific target mRNAs. Reports indicate that microRNA regulation plays an important role in numerous cellular processes. We have identified microRNAs regulated during induction of neurogenesis in an in vitro model, and have correlated the expression of these specific microRNAs to regulated mRNAs with the goal of describing potential functional interactions between the two sets of molecules. We demonstrate the active role these regulated microRNAs play in inducing a neuronal phenotype in uncommitted neural precursor cells. As a result of this analysis, as well as additional studies of regulated mRNA transcripts during neurogenesis, we have identified a regulated transcription factor, Mef2C, which is chromosomally adjacent to one of the regulated microRNAs. The unexpected appearance of this transcription factor and its relatively unexplored role in neural differentiation suggest that Mef2C may play a role in this cellular process. This single genomic locus containing an induced microRNA involved in neuronal fate determination, as well as Mef2C, is transcriptionally regulated during neuronal cell specification. In addition, HDAC4, a known repressor of Mef2C activity is validated as a target for miR-9
Optimal Assembly Plan and Control of Networks

:- The routing problem of jobs/customers arriving in a network of parallel queues, constitutes a problem of queuing theory with important applications. Consider N parallel queues each with finite buffer size. The buffer size of queue i is denoted by Ni and it is equal with the number of processors in the queue. Jobs arrive according to a Poisson process with rate λ. A controller assigns new arrivals to queues. Arriving jobs, that find all buffers occupied, are lost according to the system. A job assigned to a processor may not change in the future. The time it takes for a job to be processed is exponentially distributed with rate μ. Processing times and arrival times are all assumed to be independent. The problem is the determination of the assembly plan of such systems and their control. The criterion that is used is the minimisation of sum of the services quality cost and server holding cost.
Helping Hands or Grabbing Hands? Political Connections and Firm Value

________________________________________________________________________ We construct a political connection index to captur e variations in the strength of firm political relations in China. The index incorporates channels through which a firm’s executives and directors are politically connected with government officials and bureaucrats. We report a humpshaped relation between political connections and f irm value and stock returns which better captures the benefits of political connections and the costs of rent-seeking for politically connected firms. Firm Tobin’s Q and the cross-secti onal stock returns increase at a lower level of connections, but decrease at a higher level. The po sitive effect of political connections on firm value is enhanced for firms headquartered in region s with strong government intervention, an underdeveloped legal system, and a planned economy.
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition

Deep neural networks have advanced the state-of-the-art in automatic speech recognition, when combined with hidden Markov models (HMMs). Recently there has been interest in using systems based on recurrent neural networks (RNNs) to perform sequence modelling directly, without the requirement of an HMM superstructure. In this paper, we study the RNN encoder-decoder approach for large vocabulary end-toend speech recognition, whereby an encoder transforms a sequence of acoustic vectors into a sequence of feature representations, from which a decoder recovers a sequence of words. We investigated this approach on the Switchboard corpus using a training set of around 300 hours of transcribed audio data. Without the use of an explicit language model or pronunciation lexicon, we achieved promising recognition accuracy, demonstrating that this approach warrants further investigation.
FATTY ACIDS PROFILE OF CHICKEN NUGGETS ADDED WITH CHIA FLOUR (Salvia hispânica L)

The objective was to reformulate chicken nuggets through the replacement of chicken skin with chia flour, aiming healthier fatty acids profile. Five formulations were processed with different levels of chia flour (Zero, 5, 10, 15 and 20%) replacing same levels of chicken skin. The replacement of chicken skin with chia flour did not affect protein and lipid content but increased the ash content and decreased the moisture. The SFA and MUFA decreased but PUFA increased with higher concentrations of chia flour. Furthermore, omega-3 (linolenic acid) increased from 0.89 to 32.16% in treatments Zero and 20% chia flour, respectively. Healthier chicken nuggets with improved fatty acids profile were obtained through the replacement of chicken skin with chia flour.
Mediatory Role of Substance Use Coping in the Relationship between Combat Exposure and PTSD among Nigerian Police Exposed to Boko-Haram Insurgency

Over the years, studies have identified posttraumatic stress disorder as one of the greatest problems in military and police population worldwide. Apparently, extant literature have associated this problem with combat exposure; however, what is still unclear is whether adopting certain coping strategies like substance use after homecoming from combat deployment could increase vulnerability to combat-related PTSD especially among Nigerian police population that has been associated with high substance use coping. This study therefore examined the mediatory role of substance use coping in the relationship between combat exposure and posttraumatic stress disorder among Nigerian mobile police personnel exposed to BokoHaram insurgency in the North-eastern, Nigeria. Data were collected using standardized questionnaires on a sample of 630 participants. Two hypotheses were stated and analysed using Pearson correlation, linear and hierarchical multiple regression, and results revealed a significant positive relationship between combat exposure (r= .36; p<.01), substance use coping (r=.28; p<.01) and PTSD; as well as combat exposure and substance use(r= .19; p<.05). Additional findings indicated that combat exposure (β=.09, t= 2.2; p<.05) and substance use coping strategy (β= .26, t= 6.74; p<.01) independently and jointly [F(1,622)= 29.05; R.29, R2=. 09; p<. 01] influenced PTSD, and that substance use coping significantly mediated the relationship between combat exposure (β1= .136**, β2= .85*) as indicated by a significant reduction in the beta values. This shows that police personnel who experience combat and resort to substance use to cope are more vulnerable to PTSD. Thus, police authorities must restrain use of substance coping to reduce vulnerability to combat-related PTSD.
Yields of sesame vary dramatically under rain-fed conditions on marginal lands in Thailand

The objectives of this research were to evaluate grain yield, related traits and some agronomic performances of 15 sesame cultivars under rain-fed conditions on marginal land of Northeast in Thailand. The experiments were conducted at two locations; Maha Sarakham and Buriram provinces in Northeast Thailand during the summer of 2018. The fields were arranged in a RCBD with 4 replications and 15 sesame cultivars. Significant differences were observed for all traits at both locations except SPAD chlorophyll meter reading (SCMR) at 90 DAP in Maha Sarakham. Significant differences were found between locations for yield and some of the yield components. It appeared that pod/plant, plant height, number of branches, and plant biomass were the most important components attributing to yield. Harvest index was negatively correlated with yield. Heritability estimates were the highest for plant height (0.88), branches per plant (0.92), pod width (0.95), and pod length (0.89). At Maha Sarakahm, cv. UB3 had the greatest grain yield (1058.03 kg ha -1 ), and was among the highest for number of branches/plant, plant height, and number of pods/plant, whereas KKU1 had the highest harvest index (43.62%). Mahasarakham60 had the highest SCMR value at 60 and 75 DAP and also total chlorophyll content at 60, 75 and 90 DAP. At Buriram cv. Buriram had the highest number of branches/plant, plant height, SCMR, total chlorophyll content, and number of capsules/plant, but did not have a high grain yield (334.44 kg ha -1 ). UB1 had the highest grain yield (545.63 kg ha -1 ) at Buriram. Environmental factors affected agronomic performances and grain yield in sesame grown under the rain-fed condition and marginal land in Thailand. If breeding under various environmental conditions, traits such as plant height and number of branches per plant would achieve the highest gains.
Fast column generation for atomic norm regularization

We consider optimization problems that consist in minimizing a quadratic function under an atomic norm regularization or constraint. In the line of work on conditional gradient algorithms, we show that the fully corrective Frank-Wolfe (FCFW) algorithm — which is most naturally reformulated as a column generation algorithm in the regularized case — can be made particularly efficient for difficult problems in this family by solving the simplicial or conical subproblems produced by FCFW using a special instance of a classical active set algorithm for quadratic programming (Nocedal and Wright, 2006) that generalizes the min-norm point algorithm (Wolfe, 1976). Our experiments show that the algorithm takes advantages of warm-starts and of the sparsity induced by the norm, displays fast linear convergence, and clearly outperforms the state-of-the-art, for both complex and classical norms, including the standard group Lasso.
Neutral genetic variability and resistance mechanisms present in Myzus persicae (Hemiptera: Aphididae) from different hosts in central Chile

1 PhD Researcher, Corporación Colombiana de Investigación Agropecuaria (AGROSAVIA), Centro de Investigación Motilonia. Codazzi, Colombia. Email: jrubiano@agrosavia.co. Orcid https://orcid.org/0000-0002-2145-4162 2 Academic Researcher, Universidad de Talca, Departamento de Producción Agrícola. Talca, Chile. Email: efuentes@utalca.cl. Orcid: https://orcid.org/0000-0003-3567-3830 3 Academic Researcher, Universidad de Talca, Instituto de Ciencias Biológicas. Talca, Chile. Email: cramirez@utalca.cl. Orcid: https://orcid.org/0000-0002-6110-3973
Study of Factors Associated with Anemia among Women in Reproductive Age in Kolda (Senegal)

Introduction: Anemia in women of reproductive age is a common health problem in the region of Kolda (Senegal). The objective of this research was to study the risk factors of anemia among women in reproductive age in Kolda (Senegal). Methodology: A cross-sectional, descriptive and analytical study of women in reproductive age and their households was conducted in the Kolda region between October and December 2015. This was a three-stage random sample survey. The data was collected during an individual interview. Logistic regression was used to identify the factors of this anemia. Results: In this study, 968 women of reproductive age were surveyed. The average age of women was 27 years with a standard deviation of 7.4 years. There were 10% of pregnant women, 36.3% of lactating women and 53.7% of women neither pregnant nor lactating. The average size of the households surveyed was 14 people and the 36.3% had an average economic level. The majority of households were equipped with traditional latrines (76.9%). Women were neither pregnant nor lactating in 53.7%, were uneducated in 70.7% and 81% used micronutrient-rich foods. The prevalence of anemic women was 55.2%. The factors associated with anemia in women in Kolda were the use of traditional latrines (ORa = 1.48 [1.0 - 2.1]), the woman’s pregnancy status (ORa = 5 [2.7 - 9.8]), non-education of the woman (ORa = 1.52 [1.1 - 2.0]), the existence of income-generating activity for the woman (ORa = 0.69 [0.5 - 0.9]), the processing of local products in the household (ORa = 0.5 [0.3 - 0.9]) and the use of at least one micronutrient rich food in the household (ORa = 0.73 [0.49 - 1.0]). Conclusion: The prevalence of anemia among women in reproductive age is still high in the Kolda region. To combat this phenomenon, awareness campaigns on iron and folic acid supplementation should be stepped up, the use of modern latrines should be promoted and the empowerment of women should be strengthened.
Oxidative Stress and Antioxidant Vitamins Status of Diabetic Subjects Supplemented with Antioxidant Rich Supplement (Alphabetic) Attending Usmanu Danfodiyo University Teaching Hospital, Sokoto, Nigeria

ABSTRACT---Diabetes mellitus is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion / insulin action or both which could leads to increase level of oxidative stress and decrease in antioxidant defense system and may play role in the development of diabetic complications. The present study examines the effects of antioxidant rich supplements (Alphabetic) on antioxidant status of one hundred (100) diabetic subjects attending Usmanu Danfodiyo University Teaching Hospital (UDUTH) for at least one year and the results were compared with those of fifty (50) diabetes mellitus non-supplemented and fifty (50) apparently healthy non-diabetic subjects. Standard analytical procedures were used for all the parameters measured including the effects of supplementation on Fasting Blood Glucose, oxidative stress marker (MDA), Reduced gluthathione and antioxidant vitamins (C, E and β-carotene) parameters were evaluated. The results revealed that the supplementation significantly (P˂0.05) reduce Serum glucose and Malondialdehyde and also significantly (P˂0.05) increases Vitamin C, Vitamin E and Reduced glutathione compared with the non-supplement group. The findings suggests that supplementation with Alphabetic might reduce the risk of oxidative stress associated with diabetes mellitus leading to diabetic complications and might be beneficial in the routine treatment of diabetes mellitus.
ON THE OPTICAL PROPERTIES OF AEROSOL PARTICLES OBSERVED AT MT.!-1exto.6723ARESKUTAN, SWEDEN

In summer and fall 2014, the field campaign CAEsAR (Cloud and Aerosol Experiment at Åre) was carried out in Åre, Sweden, to study clouds and aerosols at an intercept of different air masses. Various remote sensing and in-situ instruments were installed at the peak of and around Mt. Åreskutan. The over all goal of this study is to explore the relationship between detailed aerosol properties observed in-situ with remote sensing lidar instrument, as this is a first step in order to generalize aerosol properties over larger regions compared to single measuring points. The aerosol light extinction at Åre was found to be dominated by contribution from scattering and the largest amount of particles was transported to the in-situ station at wind directions between 90◦-190◦. The effect of humidity on the ambient aerosol was found to be important to consider when validating in-situ measurements with lidar retrievals. The ambient extinction coefficient measured in situ were in correspondence with the lidar retrieval at the altitude-level of the in-situ station. However, discrepancies were observed which could be due to an incomplete correction of the lidar overlap effect or site specific orography as a result of the location of the measurement site.