Miracle-dz/UniFAR-FTUs huggingface dataset:
The Development of a Model of the Human Responses to Load Carriage.

Past research on manual load carriage has had very limited applicability to the type of load carriage which occurs in industry. The majority of studies have investigated steady continuous load carriage on the back, rather than the intermittent 'shuttle' type of carry in the arms which is more common in industry. Furthermore they have generally concentrated on the central cardiovascular or metabolic responses, and paid little attention to local muscle fatigue. The highly stylised modes of carriage used in some previous studies have also been shown to differ significantly from the more realistic freely chosen modes used in this study. This further limits their applicability. Although potentially useful, current prediction models for load carriage tasks were found to be inappropriate for intermittent carrying, and had a poor level of agreement. A need was identified therefore to develop prediction models for industrial load carriage tasks, and to make a systematic study of local muscle fatigue in load carriage. Results from the main study indicated that oxygen uptake and heart rate responses were alinear with respect to load weight, but linear with respect to distance and frequency of carry. Multiple regression analysis yielded best fit prediction equations for oxygen uptake and heart rate, based solely on inputs of load weight, carry distance, and handling frequency. The models produced are therefore relatively simple to use in practical industrial situations. They were validated experimentally and against published data. A methodology for investigating local muscle fatigue was also developed. Despite high levels of intra- and intersubject variability in response, this methodology proved useful in detecting the task conditions which were most associated with peripheral muscle fatigue. The results from these studies have indicated that when light loads are carried in the arms, whole body physiological responses adequately reflect the strain of the task. However as the load weight is increased, peripherral muscle fatigue appears to become the limiting factor. This becomes excessive in some circumstances well within current physiological stress criteria. Overall it may be better to carry light weights at a high frequency, than heavy weights at a lower frequency. This recommendation, based on a multidisciplinary study of load carriage, is at variance with the recommendations and previous studies based only on central metabolic cost criteria.
Influence of mesoporous diatomite on atom transfer radical random copolymerization of styrene and methyl methacrylate: Kinetics and thermal studies

In situ copolymerizations of styrene and methyl methacrylate (MMA) by atom transfer radical random copolymerization in the presence of mesoporous diatomite were performed to synthesize various poly (styrene-co-methyl methacrylate)/diatomite composites. Special characteristics of the mesoporous diatomite were evaluated by X-ray fluorescence, thermal gravimetric analysis (TGA), transmission electron microscope, and nitrogen adsorption/desorption isotherm. Conversion and molecular weight determinations were carried out using gas chromatography and size-exclusion chromatography, respectively. Due to the pendant hydroxyl groups on the surface of the diatomite platelets and polarity change of the reaction medium, addition of 3 wt% mesoporous kieselgur platelets leads to increase of conversion from 69% to 81%. In addition, polydispersity index values of the poly (styrene-co-methyl methacrylate) chains increases from 1.14 to 1.39 by addition of 3 wt% mesoporous diatomite platelets. Increasing the thermal stability of the nanocomposites is demonstrated by TGA. Differential scanning calorimetry shows an increase in glass transition temperature from 66.4°C to 72.5°C by adding 3 wt% of mesoporous diatomite platelets.
Bio-coal production with agroforestry biomasses in Brazil

Pyrolysis is a promising technology for thermal conversion of lignocellulosic biomass into a higher added value fuel. The aim of this study was to analyze the potential of four agroforestry biomass to produce energy as a raw material or as a bio-coal. In this study, slow pyrolysis was conducted in three final temperatures to evaluate the bio-coal production of four agroforestry biomasses widely available in Brazil. The biomass used was sugarcane bagasse (Saccharum sp.), bamboo (Dendrocalamus giganteus), straw bean (Phaseolus vulgaris) and eucalypts wood chips (Eucalyptus sp.). In the first part was presented the raw biomasses proprieties, such as lignin, carbon, hydrogen and ash content. In the second part was showed the bio-coal proprieties, such as, gravimetric and fixed carbon yield, fixed carbon and ash content. These bio-coal results were showed as a function of final temperature of pyrolysis. The best energy indicators for bio-coal production, such as fixed carbon yield, high heating value, was found in the bamboo and eucalypts. The bagasse and straw bean biomasses possess high concentrations of ash and low lignin content when compared with the other biomasses assessed and are less suitable to produce bio-coal.
Synthesis and characterization of mesoporous silica nanoparticles (MSNp) MCM 41 from natural waste rice husk

Rice husk contains silica up to 86.9-97.3%, it potentially as precursor silica in the synthesis process of mesoporous silica MCM 41. First, use acid leaching as pre-treatment of rice husk extraction, followed by heat treatment at 600°C in the furnace, continued with sol-gel process to get amorphous silica. Mesoporous silica was synthesizing using CTAB as surfactant to assist porous of silica MCM 41 (CTAB-templated silica). CTAB concentration were 1, 1.25 and 1.5%. Mesoporous silica nanoparticle MCM 41 synthesized by sol-gel method, followed by hydrothermal and reflux methanol + HCl. X-ray diffraction pattern showed that silica has amorphous liked-structure, indicated by peak broadening at 2-theta around 22-24°. Fourier Transformed Infrared-FTIR shown functional group of Si-O, Si-O-H, Si-O-Si, -OH, Si-H, and Si-OH bond have been identified. Scanning electron microscope (SEM) shown particle agglomeration and particle sizes range between 311-482 nm. The desorption adsorption nitrogen analysis (BET analysis) showed that surface area and pore diameter at 1%, 1.25% and 1.5% CTAB have surface area 552.429 m2/g, 768.947 m2/g and 705.501 m2/g. In hence pore diameters are 3.4178 nm, 3.0517 nm and 3.4098 nm respectively.
Flood map boundary sensitivity due to combined effects of DEM resolution and roughness in relation to model performance

Abstract In comprehending flood model results, we performed sensitivity analyses and evaluated how different combinations of digital elevation model (DEM) resolution and Manning’s roughness affect flood maps produced from a 2D hydraulic model. Moreover, we analysed how the estimation of accuracy can further be influenced by the performance measure and the area’s topography. Various combinations of DEM and Manning’s produced different results, in terms of quantified performance in relation to actual flood extent and the generated flood boundaries. High-resolution DEMs performed better with higher Manning’s while lower values were better for lower resolution DEMs. Furthermore, although lower resolution DEMs (25 and 50 m) received higher quantified performances, there are more discrepancies in the flood maps and water surface elevations (WSE) produced by them. The current statistical estimators of model performance do not necessarily provide an accurate estimate of which combination of DEM resolution and roughness are more suitable for application to modelling. Different statistical estimates have different assumptions, which can affect the model selection. Therefore, a more holistic approach towards model selection should be adopted that gives equal importance to statistical estimators, as well as the quality of flood inundation extents.
Improving the Performance-Graded Asphalt Binder Specification: Final Report

The Performance Grading (PG) specification is currently used as the primary purchase specification and binder classification system in the state of Texas and many other parts of the world. Since its inception, binder production has evolved to include new technologies and additives that can be used to improve binder performance. However, in some cases such binders may also prematurely fail in asphalt pavements while still meeting the existing specification requirements. In light of this shortcoming with the PG specification, this project reviewed various new methods that can be utilized as alternatives or in a complimentary manner to the current specification. A variety of field and laboratory modified binders were evaluated using a suite of tests along with mixtures that incorporated these binders in order to evaluate the most effective performance indicators for asphalt binder specification. Parameters from the Multiple Stress Creep and Recovery (MSCR) test showed a good correlation with rutting of asphalt mixtures and parameters from the poker chip test showed a good correlation with cracking of asphalt binders. A method to measure lowtemperature properties of the binder using a 4-mm diameter geometry with the Dynamic Shear Rheometer (DSR) was evaluated and the analytical method used with the resulting data was further developed for use as a surrogate to traditional tests. Based on the results, this study recommends the implementation of the MSCR, the 4-mm plate geometry for low temperature DSR testing in certain scenarios, and the poker chip test as an indicator for cracking resistance.
Herramienta de gestión de contadores hardware para Android

PMCTrack es una herramienta de codigo abierto para Linux que permite monitorizar el rendimiento de las aplicaciones haciendo uso de los contadores hardware del procesador. Esta herramienta soporta la captura de metricas como el numero de instrucciones por ciclo o la tasa de fallos de cache. El objetivo de este proyecto es portar PMCTrack al sistema operativo Android sobre plataformas que integran procesadores de ARM. Esto conlleva la realizacion de las siguientes tareas: (1) modificacion de la variante del kernel Linux propia de Android para incluir las extensiones requeridas por el modulo del kernel de PMCTrack, (2) adaptacion de las herramientas de modo usuario de PMCTrack, y (3) desarrollo de una aplicacion Android que permita visualizar en tiempo real las medidas de los contadores recabadas para las distintas aplicaciones que estan siendo monitorizadas. Para poner a prueba la adaptacion de la herramienta PMCTrack al sistema operativo Android y mostrar la utilidad de nuestras aportaciones, se han llevado a cabo diversos casos de estudio empleando la placa de desarrollo Odroid XU4.
A simplified pavement condition index regression model for pavement evaluation

ABSTRACT International Roughness Index (IRI) and Pavement Condition Index (PCI) are among other pavement condition indices used to assess pavement surface condition. The literature suggests that most of the pavement indices are related as a result of which several models have been developed to predict one index from the other. This study uses the Long-Term Pavement Performance (LTPP) database to develop a simplified regression model that links PCI with IRI. Measured pavement distresses from 1448 LTPP sections from the Specific Pavement Studies (SPS) and General Pavement Studies (GPS) representing 12744 data points were utilised for the PCI estimation. A total of 1208 sections with 10868 data points were used for model development while 240 sections with 1876 data points were used for the model validation. A sigmoid function is found to best express the relationship between PCI and IRI with a coefficient of determination (R2) of 0.995. The bias in the predicted IRI values is significantly very low. The model validation using a different dataset also yielded highly accurate predictions (R2 = 0.992). Finally, a pavement condition rating based on IRI is proposed. This system yields rating equivalent to the widely used PCI rating method which is based on the pavement condition.
Data Mining Solution for Assessing Brazilian Secondary School Quality Based on ENEM and Census Data

This paper presents a data mining solution for assessing the quality of Brazilian private secondary schools based on the official school survey and students tests. Following the CRISP-DM method, after the problem interpretation and modeling, these two data sources yearly collected have been transformed to the school granularity level embedding data and expert´s knowledge and have been integrated in a single data set with the national school code as primary key. Further transformations on the joint data set embedded additional knowledge and made the format compatible with the artificial intelligence techniques applied for knowledge extraction. Logistic regression was applied for producing a propensity score for good schools, decision tree applied for extracting the sequential decision making a human would follow and rules were induced for supporting the explanation of a decision based on the score. The AUC_ROC and Max_KS were used for assessing the propensity score performance and, coverage, confidence and lift were used for assessing the quality of the rules induced by the A Priori algorithm, together with the human knowledge available on the literature. The results showed that this domain-driven data mining approach was successful in modeling the problem and validating educational public policies.
A Satellite-Based Climatology of Wind-Induced Surface Temperature Anomalies for the Antarctic

It is well-known that katabatic winds can be detected as warm signatures in the surface temperature over the slopes of the Antarctic ice sheets. For appropriate synoptic forcing and/or topographic channeling, katabatic surges occur, which result in warm signatures also over adjacent ice shelves. Moderate Resolution Imaging Spectroradiometer (MODIS) ice surface temperature (IST) data are used to detect warm signatures over the Antarctic for the winter periods 2002–2017. In addition, high-resolution (5 km) regional climate model data is used for the years of 2002 to 2016. We present a case study and a climatology of wind-induced IST anomalies for the Ross Ice Shelf and the eastern Weddell Sea. The IST anomaly distributions show maxima around 10–15K for the slopes, but values of more than 25K are also found. Katabatic surges represent a strong climatological signal with a mean warm anomaly of more than 5K on more than 120 days per winter for the Byrd Glacier and the Nimrod Glacier on the Ross Ice Shelf. The mean anomaly for the Brunt Ice Shelf is weaker, and exceeds 5K on about 70 days per winter. Model simulations of the IST are compared to the MODIS IST, and show a very good agreement. The model data show that the near-surface stability is a better measure for the response to the wind than the IST itself.
Corrosion modified fatigue analysis for next-generation damage-tolerant management

Abstract Although a great deal of success in structural integrity management has been achieved, it may be realized by excessively conservative assumptions, high inspection burdens, and aggressive maintenance and repair strategies. Corrosion has been found to reduce fatigue life, but methods to account for it in fatigue modeling are still limited. There is a recognized need to improve structural integrity calculations through the inclusion of the effect of existing corrosion damage on fatigue. The feasibility of a corrosion modified fatigue analysis process that uses finite element analysis and linear elastic fracture mechanics techniques to predict fatigue life of a corroded aircraft component based on the corrosion damage location is demonstrated in this work. A corrosion modified equivalent flaw size was successfully used to predict fatigue crack growth from AA7075-T651 specimens with two different notch geometries and corrosion damage at the notch center.
Geochemical characteristics, depositional environment, and provenance attitude of the Middle Jurassic Yangye Formation lacustrine mudstones in Kashi Sag, south‐western Tarim Basin

Middle Jurassic mudstones from the Yangye Formation are widely exposed in the Kashi Sag and regarded as significant potential source rocks. Geochemical characteristics of mudstones in the Keziletao Depression have been analysed to decipher their source‐area weathering, provenance, tectonic setting, and depositional environment that have received significantly little attention. Mudstones are characterized by high Ca, U, Th, and REE contents when compared to those of PAAS. Their total REE abundances range from 155.2 to 234.2 ppm, with the enrichment of LREEs and distinct negative Eu anomalies, implying a principal felsic provenance. Various indicators (e.g., CIA, Th/Sc, ICV, and Rb/Sr) and A‐CN‐K ternary diagram suggest parental rocks experienced a moderate to intense chemical weathering degree and simple recycling and sorting. Furthermore, paleoenvironmental indexes (e.g., B, “S,” Sr/Ba, “C,” Sr/Cu, and V/(V + Ni)) indicate that they were likely deposited in a suboxic to anoxic freshwater setting, with semi‐arid to semi‐humid paleoclimatic conditions during the deposition of Yangye Formation. The geochemical data also demonstrate that the provenances were derived predominantly from the unroofing of felsic rocks with a minor intermediate supply. These parental rocks were commonly formed in the continental island arc, active continental margin, and/or collision tectonic settings. The results of this study, combined with published data, suggest the West Kunlun Orogen and thrusting zone to the west and south‐west of the basin were probably arrested to provide substantial detritus for sediments, stimulating a better understanding for the formation mechanism of the Yangye Formation sediments (especially for potential source rocks) in the Kashi Sag.
Seasonal Diatom Density Investigation of the Mersin Rivers

In Mersin (Tarsus-Anamur Coastline), four seasonsrsquo vegetation samples are gathered from around 20 estuaries and diatom percentages are determined. Mostly Navicula, Pinnularia, Gomphonema, Synedra, Nitzchia and also Triceratum, Cyclotella, Cymbella, Coconeis, Diatoma, Amphora, Gyrosigma, Licmophora species have been observed. The other determined organisms are bacteria and algae parts, as Vaucheria, Pediastrum, Pandorina, Peridinium, Phacus and Euglena which are seen in almost all rivers, and Ankistrodesmus, Kirchneriella species, which are found in Kuyuluk Creek.Over the past two years, the Metropolitan Municipality paved the river-beds with concrete to prevent flooding, and depending on the increased population andnbspsettlement,nbspwater pollution has started to emerge. That is whynbspthe periodic inspections are of thenbsputmost importance. For 2013-2014, the data of Pa#351asuyu, Goumlksu and Tarsus rivers demonstrate a clearer picture. We believe that this research will increase the interest in the river ecosystems of Mersin, contributing to future researches in this field.
Monitoring of Physico-Chemical and Microbiological Quality of Taghazout Seawater (Southwest of Morocco): Impact of the New Tourist Resort “Taghazout Bay”

The marine environment plays a major socio-economic role in the Agadir region (south-west Morocco). This area, which hosts important fishery resources, is currently not spared from the pollutants produced in the course of agricultural, domestic, industrial and tourist development. The aim of this study is to assess the impact of the Taghazout bay tourist resort on the bacteriological and physicochemical quality of the coastal waters of Taghazout. The seawater samples were collected between March 2016 and March 2018 at three sampling sites (S1, S2 and S3) in order to monitor the concentrations of fecal coliforms (FC), fecal streptococci (FS) and total germs (TG). The results of physicochemical parameters show seasonal fluctuations influenced by climatic factors. The spatio-temporal monitoring of the bacteriological parameters shows that the average total germ count is 127.05 CFU/100 ml, 39.61 CFU/100 ml for fecal coliforms and 15.21 CFU/100 ml for fecal streptococci. The values of FC80, FC95 and FS90 do not exceed the guide values of the Moroccan standards. This classifies the Taghazout beach in category A (good quality of bathing water). The monitoring analysis recorded by the Pearson correlation test between the environmental parameters and the level of fecal bacteria showed that there was a significant positive correlation between the FC concentrations and rainfall; the FS concentrations showed significant positive correlations with all the environmental parameters while the TG concentrations indicate no correlation with them. The fecal contamination parameters should be routinely monitored for improving the environmental conditions of coastal cities. This must be the case for the Taghazout coastline where a regular monitoring program must be established to evaluate the impact of the new tourist resort “Taghazout bay” on the environmental quality of this ecosystem.
Observation of Fish Dissemination Pattern on Madura Coastal Using Segmentation of Satellite Images

Almost traditional fishermen still use manual methods to catch fish that rely on experience in fishing and information among fellow fishermen. This method is not effective for maximizing fish production. A good pattern or strategy is needed to increase fish production. In determining dissemination pattern of fish, it can be predicted from physical parameters such as temperature, salinity, chlorophyll, turbidity, total suspended solids, and colored dissolved organic matter using the Landsat 8 images. Â This research area is on the Island of Madura Coast. The pattern is determined by using Lagrange Interpolation and clustering using K-Means. The results of the study of the pattern of fish dissemination were then validated with data from the Dinas Kelautan dan Perikanan Jawa Timur. The results between fish patterns and validation data in 2015 showed similarities in January, February, March, May, June, July, August, September. In 2016, results between fish patterns and validation data showed that similarities in July, August, September, and December. In 2017, results between fish patterns and validation data showed similarities in November. 2015 has the most similarities between the patterns and validation data and the least similarity are 2017.