Miracle-dz/UniFAR-FTUs huggingface dataset:
APPLICATION OF STATISTICAL PROCESS CONTROL CHARTS: A CASE STUDY IN DAIRY INDUSTRY

Quality is a major part for entire industrial ecosystem when it comes to achieving, maintaining, and, improving the quality of products and services taking consideration of customer needs. Special causes responsible for controllable variations can be detected with the help of quality control charts-one of the quality management tools. Process can be improved by removing detected causes of variation bringing process under control. Statistical Process Control (SPC) Charts are quality control tools based on statistical principles which help to achieve quality of products by detecting special cause(s) of variation in the process involved. This paper incorporates a case study on application of Statistical Process Control (SPC) Charts tested at Sujal Dairy Pvt Ltd, Kathmandu, Nepal. Corresponding mean charts (Xbar charts) and range charts (R-Charts) represent data regarding quality variation for weight of milk pouch and SNF (Solid-Non-Fats) for both packaging machine 1 and machine 2. Results show that SNF variation for both machine and weight variation for machine 2 have been found to be under control whereas weight variation for machine 1 has been found to be out of control. Possible causes of variation have been grouped with the help of fishbone diagram and then compared with standard operating procedures for machine which led to detection of causes of variation. Finally, process has been better improved after removal of detected causes of variation bringing process under control.
Journal of Mechatronics, Electrical Power, and Vehicular Technology

The target of massive installation of renewable energy is the focus of this research. Several industrial sectors continue to install photovoltaic rooftop to support green energy. One of the main objectives of this research is to see the maximum impact of installing a photovoltaic rooftop at 1 point of customer and spread capacity for each customer. This research uses a radial distribution network system that closely resembles the distribution network in Indonesia, where the load profile considers the load characteristics of industrial, commercial, and residential loads. This study uses the line equation theorem method to calculate the voltage rises by considering two current measurement points: the current at the end and the current at the base. The obtained voltage rise is then accumulated to be summed up with the customer afterward. The results are obtained by considering three scenarios: 1) voltage limits, 2) voltage limits and line loading, and 3) voltage limits, thermal, and harmonics in accordance with regulations. The obtained results are closely aligned with the simulations performed on the hosting capacity software such as DIgSILENT.
Robustly representing uncertainty in deep neural networks through sampling

As deep neural networks (DNNs) are applied to increasingly challenging problems, they will need to be able to represent their own uncertainty. Modeling uncertainty is one of the key features of Bayesian methods. Using Bernoulli dropout with sampling at prediction time has recently been proposed as an efficient and well performing variational inference method for DNNs. However, sampling from other multiplicative noise based variational distributions has not been investigated in depth. We evaluated Bayesian DNNs trained with Bernoulli or Gaussian multiplicative masking of either the units (dropout) or the weights (dropconnect). We tested the calibration of the probabilistic predictions of Bayesian convolutional neural networks (CNNs) on MNIST and CIFAR-10. Sampling at prediction time increased the calibration of the DNNs' probabalistic predictions. Sampling weights, whether Gaussian or Bernoulli, led to more robust representation of uncertainty compared to sampling of units. However, using either Gaussian or Bernoulli dropout led to increased test set classification accuracy. Based on these findings we used both Bernoulli dropout and Gaussian dropconnect concurrently, which we show approximates the use of a spike-and-slab variational distribution without increasing the number of learned parameters. We found that spike-and-slab sampling had higher test set performance than Gaussian dropconnect and more robustly represented its uncertainty compared to Bernoulli dropout.
Classifying Noun Compounds for Present-Day Compositionality: Contributions of Diachronic Frequency and Productivity Patterns

We investigate the diachronic evolution of the frequency and productivity of English noun compounds and their constituents relative to their degree of compositionality. We focus on 185 compounds with human compositionality ratings and a range of quantitative information from a large diachronic corpus. We cast our task as binary classification, and show that both diachronic frequency and productivity are useful in determining the present-day degree of compositionality of English noun compounds.
Comportement à l'endommagement des matériaux métalliques hétérogènes : simulation et expérience

Ce travail est une contribution a l'analyse du comportement a l'endommagement des materiaux heterogenes. L'endommagement ductile designe le processus de degradation progressive des proprietes physiques et mecaniques d'un materiau lorsqu'il subit, sous l'effet d'un chargement et avant rupture, une deformation plastique importante a temperature ambiante ou peu elevee. Notre etude s'articule autour de trois axes, theorique, numerique et experimental. La modelisation de l'endommagement requiere la definition de l'echelle au niveau de laquelle se situe l'observation ou la mesure : niveaux atomique ou moleculaire, structural (phases, cavites) ou macroscopique. A ce titre, nous avons considere deux types d'approche : l'approche globale ou l'endommagement est represente par une variable interne scalaire au sens de la thermodynamique des processus irreversibles (modele de lemaitre) et l'approche locale ou les micromecanismes physiques sous-jacents a l'endommagement sont pris en compte (modele de rice & tracey, critere de gurson, critere de rousselier).
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This paper focused on the extraction efficiencies and methodology of techniques for the extraction of microplastics from sediment. The extraction techniques: density separation and the Munich Plastic Sediment Separator (MPSS) for Large Microplastic Particles (L-MPP) are highly efficient and so is MPSS and elutriation and floatation for Small Microplastic Particles (S-MPP)/ < 1 mm plastic particles. I recommend in this paper that the comparability of data in the same format is essential to knowing which extraction technique works best and when it does.
VI CONGRESSO NACIONAL DE ENGENHARIA MECÂNICA VI NATIONAL CONGRESS OF MECHANICAL ENGINEERING

Idiopathic Thrombocytopenic Purpura (ITP) is a blood disorder characterized by an abnormal decrease in the number of platelets in the blood. ITP results from development of an antibody directed against a structural platelet antigen (an autoantibody). In this work, forty patients suffering from ITP and sixty healthy volunteers were analyzed. Blood was collected into vacutainers without additives. Directly after collection, each blood sample was centrifuged at 3000 rev/min for 10 min in order to separate blood cells and suspended particles from blood serum. The sera were transferred into polyethylene tubes and stored in a freezer at 253 K. All the serum samples had been collected from people who live in the urban area of Rio de Janeiro City/Brazil . For the sample preparation, a volume of 500 μL of serum was taken and diluted with 1500 μL of ultrapure water (Milli-Q water). An internal standard consisting of 105 μL of Vanadium solution (V 1000 μg.g) was added. After the dilution a small aliquot of 5 μL of each sample with the internal standard was pipetted on a precleaned perplex sample carrier. The samples were left to dry very slowly under an infrared lamp. The samples were analyzed in triplicate. The measurements were performed at the X-Ray Fluorescence Beamline at Brazilian National Synchrotron Light Laboratory (LNLS), in Campinas, São Paulo using a monochromatic beam with maximum energy of 20 keV for the excitation and an Ultra-LEGe detector with resolution of 148 eV at 5.9 keV. Standard solutions with Vanadium as internal standard were prepared for calibration system . It was possible to determine the elemental concentrations of the following six elements: Na, P, S, Cl, K and Ca. By using t-test it could be seen significant differences (α = 0.05) between groups of healthy subjects and four groups of ITP. The elements that presented significant differences for the mean of their concentrations between each one of the ITP group and control group in μg. g, were Phosphorous (136±12 and 92±12), Sulphur (1077±97 and 847±80), Chlorine (2905±385 and 2266±378), Potassium (137±118 and 82±15) and Calcium (64±7 and 44±6) respectively. V I Co n gr es s o N a c i o na l de E n g e n h ar i a M ec â n i ca , 18 a 21 de A g o st o 20 1 0 , Ca m pi na G r a n de P ar a í b a
Verifying the seL4 Core Platform Verification of the seL4CP implementation Step

For seL4CP we therefore aim for verification with a high degree of proof automation and low proof burden. While SMT solvers produce “push-button” proofs once set up correctly (with the benefit of automatic re-verification when the implementation changes), getting to that point is still a challenge for non-trivial systems, and frequently relies on strong assumptions on the environment of the code to be verified. In contrast we aim to assume no more than the seL4 proofs guarantee.
Geochemical Characterization of Concentrated Gas Hydrate Deposits on the Hikurangi Margin, New Zealand: Preliminary Geochemical Cruise Report

Abstract : This report provides a preliminary summary of geochemical contribution to methane hydrate research and exploration on the Hikurangi Margin, off the northeastern coast of New Zealand from June 20 to July 3, 2006. Geochemical porewater profiles taken from shallow piston cores and vertical fluid migration measured with heatflow probing were compared with seismic summaries of potential deep sediment hydrates deposits. Research goals for this expedition include: (1) Refine geophysical, geochemical, and microbiological technologies for prospecting hydrate distribution and content; (2) Contribute to establishing high-priority geographical regions of prospective interest, in terms of methane volume estimates; (3) Prediction of environmental effects and geologic risks at the continental margin associated to the natural resource occurrence and resource exploitation; and (4) Expand understanding of the biogeochemical parameters and associated microbial community diversity in shallow sediments that influences the porewater sulfate gradient observed through anaerobic methane oxidation profiles. Scientists from New Zealand, United States, Belgium, Canada and Germany, representing 11 university and government research institutions contributed to this expedition. Expertise of the science team resulted in the contribution of geochemical, geophysical, geological, molecular ecology, and biological data to address ocean water column, sediment, and porewater research questions.
Revista ELectrónica de Investigación y EValuación Educativa

This study aimed to design and implement a formative assessment context for a group assignment. This setting is based on self-regulated learning, the beneficial practices exposed in the literature and the challenges for the next decade. We carried out quantitative research using two questionnaires to measure self-regulated learning skills and the way of working as a group. The participants were 88 students getting a degree in Sports Sciences. Results showed that the reported way of working in groups has no impact on performance. Furthermore, higher self-regulation in their learning style and the use of assessment criteria led to higher performance. We did not find any differences regarding avoidance self-regulation style. We discuss theoretical and educational implications.
Revista ELectrónica de Investigación y EValuación Educativa

This paper investigated the effects of corrections for scale usage preference in seven Latin American countries, Portugal and Spain in student self-reports in the 2012 Programme for International Student Assessment (PISA). These targeted countries tend to show a strong tendency of expressing strong opinions and self-enhancement, which can pose serious validity threats in cross-cultural comparisons of self-reports. We examined to what extent score corrections, that have been proposed, would change the patterning of the crosscultural differences. We corrected for the scale usage preferences in a measure of teacher support among 39,045 students in nine countries, based on extreme response style, overclaiming, and anchoring vignettes, respectively. These measures showed different effects: (1) All correction methods helped to improve measurement invariance, although the correction based on anchoring was less effective in reaching scalar invariance compared with the correction of extreme response style and overclaiming; (2) controlling for extreme response style and overclaiming changed the mean score of Spain to a greater extent than other countries, which seems to present a more realistic patterning, whereas the changes on correlations with other measures were rather limited. The use of anchored scores led to drastic changes both in means and correlations. A firm conclusion about which method is to be preferred cannot be given as there is no evidence which method enhances the validity of scores in these countries more. We discuss the necessity and practicability of correction methods.
ANALYSIS OF MACHINING FORCES IN LIGHT-FORCE ROBOTIC MILLING OF ALUMINIUM PARTS

: This article presents the work performed by the authors in the field of light-force robotic milling of aluminium parts. The research is focused on applications in which an articulated arm, low payload robot manipulates the milling-type deburring tool around an aluminium workpiece, which is clamped on a Kistler 9257B dynamometer which measured the machining forces. The main objective of the research was to develop an analysis of machining forces in low-power robotic milling applications through experimental data acquisition. The experimental equipment consisted of an articulated arm, 6 DOF Kawa-saki FS10E industrial robot with 10 kg payload and a Kistler 9257B dynamometer capable of measuring the machining forces on three orthogonal directions corresponding to X, Y and Z axes of the part coordinate system. The robot was equipped with an ATI RC-340 radially compliant deburring tool. The experimental procedure was conducted by performing a chamfering operation on the lateral edges of an aluminium part. The robot program was developed using the point-to-point block teaching method on the teach-pendant. The program was then run several times, with gradually increased depth of cut and various feed rates. The results after each program run were observed by visual inspection and through data collected by the Kistler dynamometer. Based on these observations, the conclusions were drawn regarding the milling efficiency in each situation and the influence of machining forces on robot behaviour.
UvA-DARE (Digital Academic Repository) Cognitive strategies revealed by clustering eye movement transitions

In cognitive tasks, solvers can adopt different strategies to process information which may lead to different response behavior. These strategies might elicit different eye movement patterns which can thus provide substantial information about the strategy a person uses. However, these strategies are usually hidden and need to be inferred from the data. After an overview of existing techniques which use eye movement data for the identification of latent cognitive strategies, we present a relatively easy to apply unsupervised method to cluster eye movement recordings to detect groups of different solution processes that are applied in solving the task. We test the method's performance using simulations and demonstrate its use on two examples of empirical data. Our analyses are in line with presence of different solving strategies in a Mastermind game, and suggest new insights to strategic patterns in solving Progressive matrices tasks.
Statistica Sinica Preprint No : SS-2015-0413 . R 3 Title Regularization after retention in ultrahigh dimensional linear regression models

In ultrahigh dimensional setting, independence screening has been both theoretically and empirically proved a useful variable selection framework with low computation cost. In this work, we propose a two-step framework by using marginal information in a different perspective from independence screening. In particular, we retain significant variables rather than screening out irrelevant ones. The new method is shown to be model selection consistent in the ultrahigh dimensional linear regression model. To improve the finite sample performance, we then introduce a three-step version and characterize its asymptotic behavior. Simulations and real data analysis show advantages of our method over independence screening and its iterative variants in certain regimes.
Graptolite Image Classification Using Two-stage Transfer Learning and EfficientNet

Graptolites provide an important basis for the fine division of shale strata. Due to the large variety of graptolites and small differences between species, it is difficult to identify graptolite images manually. It is necessary to study the automatic classification method of graptolite images. Nowadays, deep learning has made great progress in image classification, and it is feasible to apply it to graptolite automatic classification. In this paper, by collecting the original graptolite images and data expansion, we constructed the graptolite image dataset, including 22 genera and 51 species, with a total of 125375 images. Then, we proposed a graptolite image classification method using two-stage transfer learning based on taxonomic category and EfficientNet-b5 convolutional neural network (CNN). Our experiments show the average classification accuracy reached 94.3% for 22 genera, and 92.73% for 51 species, and using two-stage transfer learning efficiently improve the classification accuracy of CNN.
Saline–Alkaline Stress Resistance of Cabernet Sauvignon Grapes Grafted on Different Rootstocks and Rootstock Combinations

Grafting the wine grape variety Cabernet Sauvignon onto salinity-tolerant rootstocks can improve salinity tolerance and grape yields in regions with high salinity soils. In this experiment, the effects of different rootstocks and rootstock combinations on the saline–alkaline stress (modified Hoagland nutrient solution + 50 mmol L−1 (NaCl + NaHCO3)) of Cabernet Sauvignon were studied. Correlation and principal component analyses were conducted on several physiological indicators of saline–alkaline stress. Salinity limited biomass accumulation, induced damage to the plant membrane, reduced the chlorophyll content and photosynthetic capacity of plants, and increased the content of malondialdehyde, sodium (Na+)/potassium (K+) ratio, and antioxidant enzyme activities (superoxide dismutase, peroxidase, and catalase). Significant differences in several indicators were observed among the experimental groups. The results indicate that the saline–alkaline tolerance of Cabernet Sauvignon after grafting was the same as that of the rootstock, indicating that the increased resistance of Cabernet Sauvignon grapes to saline–alkaline stress stems from the transferability of the saline–alkaline stress resistance of the rootstock to the scion.
Fungal systematics and evolution: FUSE 1

Fungal Systematics and Evolution (FUSE) is introduced as a new series to expedite the publication of issues relating to the epitypification of formerly described species, report new sexual-asexual connections, the merging of sexual and asexual gen¬era following the end of dual nomenclature, and to describe species or note interesting observations regarding fungi. This first paper includes 18 new combinations, 13 new species, three new genera and one new family. All taxa are ascomycetes, except one novel species, which is a basidiomycete. Based on its acervular conidioma, Septoria capensis is allocated to the genus Ac¬ervuloseptoria (Mycosphaerellaceae, Capnodiales, Dothideomycetes). Cheirospora botryospora is shown to have a Phialophora synasexual morph, and to belong to the Helotiales (Leotiomycetes). The genus Circinotrichum (Xylariaceae, Xylariales) is shown to be paraphyletic, and in need of revision. Dictyochaeta triseptata (Chaetosphaeriaceae, Chaetosphaeriales, Sordariomycetes) is reported on Eucalyptus twigs from Malaysia, and shown to have a microconidial morph. Pseudodinemasporium fabiforme (Chaetosphaeriaceae, Chaetosphaeriales, Sordariomycetes) is reported from leaf spots on Acacia mangium from Malaysia, and Sclerostagonospora cycadis (Phaeosphaeriaceae, Pleosporales, Dothideomycetes) on leaves of Dioscorea composita from Mexico. Novel taxa include: Asperisporium caricicola (Mycosphaerellaceae, Capnodiales, Dothideomycetes) from Carica papaya (Fiji), Coniella peruensis (Schizoparmaceae, Diaporthales, Sordariomycetes) from soil (Peru), Curreya acacia (Cucurbitariaceae, Ple¬osporales, Dothideomycetes) from Acacia mangium (Malaysia), Verrucoconiothyrium nitidae gen. nov. (Didymosphaeriaceae, Pleosporales, Dothideomycetes) from Proteaceae (South Africa), Cyphellophoriella pruni gen. et sp. nov. (Chaetothyriaceae, Chaetothyriales, Eurotiomycetes) from Prunus leaves (USA), Mycotribulus indonesiae (Physalacriaceae, Agaricales) from Euca¬lyptus leaves (Indonesia), Myrmecridium spartii (Myrmecridiaceae, Myrmecridiales, Sordariomycetes) and Diaporthe spartini¬cola (Diaporthaceae, Diaporthales, Sordariomycetes) from Spartium junceum (Spain), Neodevriesia poagena (Neodevriesiaceae, Capnodiales, Dothideomycetes) on stems of Poa sp. (the Netherlands). Novel taxa from Germany include: Dothiorella ulmacea (Botryosphaeriaceae, Botryosphaeriales, Dothideomycetes) from Ulmus laevis, Eleutheromyces pseudosubulatus (incertae sedis, Helotiales) from Lactarius scrobiculatus, Paracamarosporium fagi (Didymosphaeriaceae, Pleosporales, Dothideomycetes) from Fagus sylvatica, Phaeoisaria loranthacearum (incertae sedis, Sordariomycetes) from Loranthus europaeus, and Flammocladiella aceris gen. et sp. nov. (Flammocladiellaceae fam. nov., Hypocreales) from Acer platanoides. An epitype is designated for Phomato¬spora striatigera (incertae sedis, Sordariomycetes) from Typha angustifolia (France).
Ant Community Dynamics and the Effects of Global Warming

Ecologists have long sought to explain the coexistence of multiple potentially competing species in local assemblages. This is especially challenging in species-rich assemblages in which interspecific competition is intense, as it often is in ant assemblages. As a result, a suite of mechanisms has been proposed to explain coexistence among potentially competing ant species: the dominance – discovery tradeoff, the dominance – thermal tolerance tradeoff, spatial segregation, temperature-based niche partitioning, and temporal niche partitioning. Through a series of observations and experiments, we examined a deciduous forest ant assemblage in eastern North America for the signature of each of these coexistence mechanisms. We failed to detect evidence for any of the commonly suggested mechanisms of coexistence, with one notable exception: ant species appear to temporally partition foraging times such that behaviorally dominant species foraged more intensely at night, while foraging by subdominant species peaked during the day. Our work, though focused on a single assemblage, indicates that many of the commonly cited mechanisms of coexistence may not be general to all ant assemblages. However, temporal segregation may play a role in promoting coexistence among ant species in at least some ecosystems, as it does in many other organisms.