Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy Consumption Forecasting Using Seasonal ARIMA with Artificial Neural Networks Models

In many areas such as financial, energy, economics, the historical data are non-stationary and contain trend and seasonal variations. The goal is to forecast the energy consumption in U.S. using two approaches, namely the statistical approach (SARIMA) and Neural Networks approach (ANN), and compare them in order to find the best model for forecasting. The energy area has an important role in the development of countries, thus, consumption planning of energy must be made accurately, despite they are governed by other factors such that population, gross domestic product (GDP), weather vagaries, storage capacity etc. This paper examines the forecasting performance for the residential energy consumption data of United States between SARIMA and ANN methodologies. The multi-layer perceptron (MLP) architecture is used in the artificial neural networks methodology. According to the obtained results, we conclude that the neural network model has slight superiority over SARIMA model and those models are not directional.
Quality assessment of MOZAIC and IAGOS capacitive hygrometers: insights from airborne field studies

In 2011, the MOZAIC (Measurement of Ozone by AIRBUS In-Service Aircraft) successor programme IAGOS (In-service Aircraft for a Global Observing System) started to equip their long-haul passenger aircraft with the modified capacitive hygrometer Vaisala HUMICAP® of type H. The assurance of the data quality and the consistency of the data set during the transition from MOZAIC Capacitive Hygrometers to IAGOS Capacitive Hygrometers were evaluated within the CIRRUS-III and AIRTOSS-ICE field studies. During these performance tests, the capacitive hygrometers were operated aboard a Learjet 35A aircraft together with a closed-cell Lyman-α fluorescence hygrometer, an open-path tunable diode laser (TDL) system and a closed-cell, direct TDL absorption hygrometer for water vapour measurement. For MOZAIC-typical operation conditions, the comparison of relative humidity (RH) data from the capacitive hygrometers and reference instruments yielded remarkably good agreement with an uncertainty of 5% RH. The temperature dependence of the sensor's response time was derived from the cross-correlation of capacitive hygrometer data and smoothed data from the fast-responding reference instruments. The resulting exponential moving average function could explain the major part of the observed deviations between the capacitive hygrometers and the reference instruments.
ISOLATION, CLONING AND SEQUENCE ANALYSIS OF 1-AMINOCYCLOPROPANE-1- CARBOXYLATE DEAMINASE GENE FROM NATIVE SINORHIZOBIUM MELILOTI

Background: Many plant growth-promoting bacteria including Rhizobia contain the 1-aminocyclopropane-1-carboxylate (ACC) deaminase enzyme that can leave ACC, and thereby lower the level of ethylene in stressed plants. Drought and salinity are the most common environmental stress factors for plants in Iran. Objectives: The main aim of this research was development of bio-fertilizers containing ACC deaminase enzyme which is very important in conditions of stressed drought and salinity. Materials and Methods: In this research 168 isolates of native Sinorhizobium meliloti were evaluated for ACC deaminase activity. These isolates were classified in four groups based on growth rate on ACC containing medium and enzyme activity. One isolate from each group was selected for molecular characterization. The nucleotide sequence of 16S rRNA gene of the selected isolates were determined. The ACC deaminase genes (acdS) on total and chromosomal DNA of S. meliloti KYA40, and KYA71 strains were isolated and cloned in pTZ57R/T vector and the obtained recombinant plasmids were used for sequence analysis. Results: The sequence of acdS genes from strains KYA71 and KYA40 and corresponding proteins were analyzed with respect to available sequences in NCBI database. The 16S rRNA gene sequences of S. meliloti strains submitted to the GeneBank/NCBI database. The acdS gene of KYA71 may be located on chromosomal DNA and in KYA40 it is located on one of the mega plasmids. These two genes have 99% similarity with three nucleotide differences which only lead to a change in one amino acid 48, threonine in KYA40 acdS gene and methionine in KYA71. Conclusions: The comparison of amino acid sequences of KYA40 and KYA71 with other sequences in the database showed that the amino acids 37 to 58 in almost all strains were similar. Therefore, it was concluded that it was a conserved region in this location of acdS genes and any changes in this region may cause change in ACC deaminase activity.
Literature Review: Lean Manufacturing Assessment During the Time Period (2008-2017)

The aim of this paper is to explore and evaluate previous work focusing on the relationship and links between Lean manufacturing and industrial work. This study reviews the literature on Lean Manufacturing Assessment (LMA) during the last decade; 2008–2017 and analyses the literature from different perspectives. This paper highlights various key words, scopes, objectives, case study, definitions, methodologies, tools and main results. A total of 126 research papers have been reviewed in this study to help the researchers in the evaluation of lean manufacturing practices to identify and benefit from these studies. This paper provides a quantitative descriptive analysis and qualitative thematic analysis to provide an analysis of impact of lean on performance. Consequently, this paper can be considered as a guide for researchers in LMA. It is expected to be a brief reference for future researchers that reduces effort and time consuming during their studies.
Neuromuscular Fatigue in Contact Sports: Theories and Reality of a High Performance Environment

Evolving in a highly competitive environment where maximal performance is all that matter, elite athletes are required to allocate training time to an intensity that mimics the sport-specific characteristics they experience during competition [1]. Due to the demands of training and competition, athletes experience a constant cycle of “fatigue-recovery-adaptation”. Performance is enhanced by training stimulus only if adaptive processes are greater than the induced fatigue, and as such, the monitoring of fatigue is important to determine appropriate training loads to maximize subsequent performance [2]. Historically, fatigue has been defined in accordance with the varied sub disciplines associated with sports science, namely the divisions of physiology, psychology and biomechanics. At one extreme, Physiologists may consider fatigue as failure or dysfunction of a particular physiological system [3] while at the other extreme, psychologist may view fatigue as an uncomfortable perception or sensation [4].
Unique, Ancient Stygobiont Clade of Hydrobiidae (Truncatelloidea) in Bulgaria: the Origin of Cave Fauna

Knowledge about subterranean aquatic gastropods is still limited and species inhabiting caves are typically only known from empty shells found at the surface. Phylogenetic analyses of such fauna are extremely rare. In the present work, we analysed seven species of five genera from 13 cave localities in Bulgaria, using molecular (mitochondrial COI and three nuclear markers: 18S rRNA, 28S rRNA and H3) techniques. All analysed DNA sequences from cave specimens formed one, highly supported, monophyletic lineage, divided into six subclades. According to molecular clock analyses, this subterranean clade originated 7-6.75 Mya. Our data support the “climatic-relict” hypothesis for the speciation of these taxa, assuming that surface ancestors colonized the caves and, after extinction of the surface population, cave populations evolved in allopatry. Extinction of the surface population was most probably caused by the climatic shift associated with the Messinian Salinity Crisis (5.96–5.33 Mya). A new model of climate-driven separation promoting speciation is proposed for the origin of the cave fauna.
Search for the standard model Higgs boson produced in vector boson fusion and decaying to bottom quarks using the Run 1 and 2015 Run 2 data samples

A search for the standard model Higgs boson is presented in the Vector Boson Fusion production channel with decay to bottom quarks. A data sample comprising 2.2 fb−1 of proton-proton collision at √ s = 13 TeV collected during the 2015 running period has been analyzed. Production upper limits at 95% Confidence Level are derived for a Higgs boson mass of 125 GeV, as well as the fitted signal strength relative to the expectation for the standard model Higgs boson. Results are also combined with the ones obtained with Run1 sqrt(s) = 8 TeV data collected in 2012. Presented at LHCP2016 Fourth annual Large Hadron Collider Physics Search for the standard model Higgs boson produced in vector boson fusion and decaying to bottom quarks using the Run1 and 2015 Run2 data samples with the CMS experiment Nadezda Chernyavskaya ∗ † Swiss Federal Institute of Technology in Zurich (ETHZ), Zurich, Switzerland E-mail: nadezda.chernyavskaya@cern.ch A search for the standard model Higgs boson is presented in the Vector Boson Fusion production channel with decay to bottom quarks with the CMS experiment at the CERN LHC. A data sample comprising 2.3 fb−1 of proton-proton collision at √ s = 13 TeV collected during the 2015 running period has been analyzed. Production upper limits at 95% Confidence Level are derived for a Higgs boson mass of 125 GeV, as well as the fitted signal strength relative to the expectation for the standard model Higgs boson. Results are also combined with the ones obtained with Run1 √ s = 8 TeV data collected in 2012. Fourth Annual Large Hadron Collider Physics 13-18 June 2016 Lund, Sweden ∗Speaker. †on behalf of the CMS Collaboration c © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). http://pos.sissa. it/ Search for the SM Higgs boson produced in VBF and decaying to b-quarks using Run1 and 2015 Run2 data samples Nadezda Chernyavskaya
A software architecture for monitoring big data storage platforms

Öz NoSQL-based big data storage platforms provide similar fundamental big data management functionalities in addition to various other functionalities that differ for each platform. For example, documentoriented NoSQL big data storage platforms are commonly used for organizing and managing documents, while graph-based databases are designed for data whose relations are represented by graphs. In turn, different NoSQL-based platforms are often used together, as each provides distinct capabilities. Within this study based on our literature review, it is seen that a hybrid platform, which could perform real-time monitoring tasks on top of different big data NoSQL platforms, is lacking. In order to address this issue, this paper proposes a novel system architecture. The proposed system architecture runs as a piece of add-on software one layer above the NoSQL platforms and provides monitoring tasks on these platforms. Within the research, a prototype of the recommended system architecture is made and the testing results are provided in detail. The prototype of the proposed architecture focused on monitoring the system's distributed structure and data structure, memory usage, and disk usage. In order to prove the practical usage of the proposed system architecture, various performance experiments were applied to the prototype application. In this paper, we report on the promising results of the performance experiment. Büyük Veri NoSQL saklama platformları, aynı temel fonksiyonel özellikleri sağlamakla birlikte, birbirlerinden ayrılan geniş özellik setleri de sunabilmektedir. Örneğin, doküman-tabanlı NoSQL saklama ortamları dokümanların organizasyonu için kullanılırken, çizge veri tabanları, veriler arasındaki ilişkilerin çizgeler olarak tanımlanabildiği veriler için kullanabilmektedir. Bunun sonucu olarak, farklı platformlar, sağladıkları ayrıştırıcı işlevselliklerinden dolayı birlikte kullanılabilmektedir. Ancak, farklı büyük veri saklama platformları üzerinde gerçek zamanlı olarak izleme işlemlerini yapabilecek, tek bir programlama ara yüzü üzerinden kullanılabilen, bir platformun eksikliğinin olduğu görülmektedir. Bu eksikliği gidermek amacıyla, bir sistem mimarisi önerilmektedir. Önerilen sistem birbirinden farklı NoSQL platformları üzerinde üzerinde eklenti olarak çalışmakta ve izleme işlemlerinin yapılabilmesine olanak sağlamaktadır. Çalışma kapsamında önerilen sistem mimarisinin prototipi gerçekleştirilmiştir ve elde edilen deneyim detaylarıyla sunulmaktadır. Prototip uygulama, sistemin dağıtık mimari yapısını ve veri yapısını, bellek kullanımını ve sabit disk kullanımını takip etmek odaklı olarak geliştirilmiştir. Önerdiğimiz sistem mimarisinin doğruluğu ve pratik kullanımını ortaya koymak amacıyla prototip uygulama üzerinde performans testleri uygulanmış ve olumlu olarak elde edilen sonuçlar paylaşılmıştır.
Risk-Managing Bermudan Swaptions in a LIBOR Model

Estimating the sensitivity of swaption values to volatility changes is tricky, because there are many different ways the volatility function may be deformed that give rise to the same change in overall variance. The authors show how a standard recalibration based on perturbing forward rate volatilities and simulating the changes in swaption values the “time homogeneous forward rate volatility” approach can lead to substantial uncertainty in swap vegas. They propose an alternative technique based on time homogeneity of swap rate volatility, which performs much better because it distributes the effect of the perturbation more smoothly across maturities. This allows more accurate swap vega estimates using many fewer Monte Carlo runs.
A simple accurate method to predict time of ponding under variable intensity rainfall

The prediction of the time to ponding following commencement of rainfall is fundamental to hydrologic prediction of flood, erosion, and infiltration. Most of the studies to date have focused on prediction of ponding resulting from simple rainfall patterns. This approach was suitable to rainfall reported as average values over intervals of up to a day but does not take advantage of knowledge of the complex patterns of actual rainfall now commonly recorded electronically. A straightforward approach to include the instantaneous rainfall record in the prediction of ponding time and excess rainfall using only the infiltration capacity curve is presented. This method is tested against a numerical solution of the Richards equation on the basis of an actual rainfall record. The predicted time to ponding showed mean error ≤7% for a broad range of soils, with and without surface sealing. In contrast, the standard predictions had average errors of 87%, and worst‐case errors exceeding a factor of 10. In addition to errors intrinsic in the modeling framework itself, errors that arise from averaging actual rainfall records over reporting intervals were evaluated. Averaging actual rainfall records observed in Israel over periods of as little as 5 min significantly reduced predicted runoff (75% for the sealed sandy loam and 46% for the silty clay loam), while hourly averaging gave complete lack of prediction of ponding in some of the cases.
Virtual Neighbourhood Network to Connect IoT Infrastructures and Smart Objects –

The lack of interoperability is considered as the most important barrier to achieve the global integration of Internet-of-Things (IoT) ecosystems across borders of different disciplines, vendors and standards. Indeed, the current IoT landscape consists of a large set of isolated islands that do not constitute a real Internet, preventing the exploitation of the huge potential expected by Information and communications technology (ICT) visionaries and unfolding business opportunities facilitated by digitalization and automation. The VICINITY project will build and demonstrate a platform linking various ecosystems providing “interoperability as a service” for infrastructures in the IoT. The approach is bottom-up, decentralized, user-centric and standards-based without relying on a single standard.
Evaluating invasive and non-invasive methods to determine fat content in the laboratory mouse

Abstract In the midst of an obesity epidemic in humans, diet induced obesity studies in rodents are fundamental to unravel the complex mechanisms underlying this disease, ultimately resulting in the identification of new preventative and therapeutic strategies. The current study was designed to determine if high throughput multiobject CT scanning was capable of providing precise quantification of adipose tissue in C57BL/6 mice when benchmarked to the gold standard method for evaluating fat mass (freeze drying). We report a strong correlation between body weight alone and fat percentage in our mouse cohort (20 g-40 g, r = 0.95). The gonadal fat depot was identified as the most accurate single predictor of total fat mass (r = 0.931). Importantly, we observed a high positive correlation between both live tissue weight and dissected adipose tissue when correlated to CT predictions (r ≥ 0.862), suggesting CT can accurately be used to predict total fat mass/percentage and non-fat mass/percentage in our cohort. We conclude that the use of multi-object in vivo CT fat quantification is cost effective, accurate and minimally invasive technique in the genetic manipulation era to exploit lean/obese genes in the study of diet induced obesity, allowing longitudinal studies to be completed in a high throughput manner.
Understanding the African Lions - Growth Traps and Opportunities in Six Dominant African Economies - Understanding the Relationship between Growth and Employment in Nigeria

This study examines the relationship between growth and employment in Nigeria to gain insights into the country.s paradox of high economic growth alongside rising poverty and inequality. The methodology adopted is the Shapley decomposition approach, complemented with econometric estimation of the country.s employment intensity of growth. The findings indicate that Nigeria.s growth over the last decade has been . jobless. and sustained largely by factor reallocations rather than productivity enhancement. Labour reallocations have been mainly from agriculture and manufacturing towards the low productive services sector. Employment elasticity of growth was positive and quite low, reflecting the country.s poor overall employment generation record, especially in manufacturing.
The electronic structure of hematite {001} surfaces: Applications to the interpretation of STM images and heterogeneous surface reactions

Abstract Scanning tunneling microscope (STM) images and scanning tunneling spectroscopy (STS) spectra of hematite (α-Fe2O3) surfaces were calculated using ab-initio methods, not only to interpret experimentally collected STM data, but also to gain insight into atomic level changes in electronic structure that are associated with heterogeneous surface reactions. The electronic structure and wave functions inside the studied crystal were obtained as a periodic solution of the SchrOdinger equation by using the program Crystal92. STM images and STS spectra were calculated by applying a technique similar to the Tersoff and Hamann (1985) method. Experimental STM images of the upper valence band of hematite (001) surfaces, cleaved in air, show a periodic array of bright spots that differs slightly from the O-O separation in the bulk. However, our calculations show that these spots are located at the Fe positions of the surface Fe atoms and above the Fe atoms between the first and second hexagonally close-packed O layers. The calculated STS spectra for tip positions above the three nonequivalent Fe positions show significant differences, in particular because the contribution of O 2p-like and Fe 3d-like states changes with the distance between the tip and the respective Fe atom underneath. Hematite crystals that were used to obtain STM images experimentally in previous studies were cleaved in air, and the presence of adsorbed H2O and O2 was considered in this study. Calculations that optimize the surface atomic arrangement with respect to total energy of the slab indicate that Hp and O2 adsorbed to the surface have binding energies too low to withstand the dragging force and the electric potential applied during the scanning process. In addition, only calculations of STM images of fresh hematite surfaces exactly mimic the periodicity of high electronic density spots, as observed in experiments. STS spectra calculated for equivalent Fe positions on terraces and near steps show the increased electron density of the top of the valence band for step sites, which is experimentally observed as higher intensities of bright spots at steps. These calculations show that the local electronic structure of surfaces can be very different from bulk electronic properties and that conclusions drawn from cluster calculations representing the bulk can be misleading. In addition, this theoretical approach helps to explain the increased reactivity at specific sites on hematite, such as steps and kinks, in terms of the electronic surface structure of this mineral.
Potable water production by membrane processes: membrane characterization using a series of bacterial strains

The aim of this study was to develop a method for characterizing membranes (ultrafiltration and microfiltration) used in drinking water production. The method accounts for the specific behaviour of microorganisms during filtration, namely their deformation under mechanical stress. The leaks of microorganisms are linked to the presence of a small number of defects or abnormally large pores in the membrane structure. Assuming that the defects are cylindrical capillaries, the range of pore diameters concerned by the method lies between 0.05 and 1.2 μm.
Induction of Remission and Maintenance Therapy with Tacrolimus inRefractory Ulcerative Colitis with Adverse Events from 5-ASA and Thiopurine

A 58-year-old Japanese woman was admitted to the hospital with fever, diarrhea, melena and lower abdominal pain. Colonoscopy showed moderate left-sided Ulcerative Colitis (UC). Administration of 5-aminosalicylic acid (5- ASA) (3600 mg) was started, but skin eruptions and hepatic dysfunction occurred. The drug lymphocyte stimulation test (DLST) was positive for 5-ASA, so this medication was discontinued. Prednisolone (PSL, initially 10 mg/day) was started, and remission was achieved. However, relapse occurred 5 months later after the discontinuation of PSL, and hospitalization was required again. Remission was achieved again by PSL, and azathioprine (AZA) (initially 25 mg/day) was started as maintenance therapy. Hepatic dysfunction was detected at 1 month after starting AZA and was judged to represent drug-induced hepatitis. Following the discontinuation of AZA, PSL (2 mg/day) monotherapy was continued. At 11 months after discharge from hospital, the patient developed diarrhea, melena, and abdominal pain, requiring hospitalization for the third time. Colonoscopy showed extensive ulceration and spontaneous bleeding, indicating a relapse of severe UC. Administration of tacrolimus (TAC) led to remission and the patient was discharged from hospital. Because she experienced adverse effects with 5-ASA and AZA, TAC alone was continued as maintenance therapy for ≥ 2 years after the discontinuation of PSL. Relapse did not occur during this period and repeat colonoscopy showed mucosal healing. During the TAC maintenance therapy, slight deterioration of renal function was observed, but there were no other adverse events. In conclusion, we experienced a rare patient who responded to TAC maintenance monotherapy for severe UC.