nils-herrmann/clean_scirepeval huggingface dataset:
Developing a new model for predicting global solar radiation on a horizontal surface located in Southwest Region of Algeria
Year: 2020

Global solar radiation data is essential in the design of solar energy conversion devices. The most widely used model in the estimation of the global solar radiation coming to the earth's surface is the Angtrom Prescott model. In this model, relative sunshine duration plays an important role. In the current study, it was attempted to review different models and to determine the best performing model developed for the city of Bechar and two locations of Algerian Big South desert for solar energy projects and compare them with the different established models available in the literature up until now, based on measured sunshine hours data. The new models give high accuracies on the application, where (R2) ranges between 0.70 and 0.99. In addition, MBE and RMSE values are very low in the studied stations. The results presented in this paper are quite useful for quick estimation of global solar radiation data required for performance evaluation of solar collector used for different applications of solar energy.
Modeling the evolution of religious institutions
Year: 2012

Alam, S.J. Geller, A. Meyer, R. Werth, B. (2011) Modelling contextualized reasoning in complex societies with 'endorsements. ) Retrieved from http:/jasss.soc.surrey.ac.uk/13/4/6.html Axtell, R. (2000) Why agents? On the varied motivations for agent computing in the social sciences. Center on Social and Economic Dynamics ( Washington, DC: Brookings Institution. Axtell, R.L. Epstein, J.M. (1994) Agent based models: Understanding our creations. Bulletin of the Santa Fe Institute, 28!32. Bonabeau, E. (2002) Agent based modeling: Methods and techniques for simulating human systems.  7280!7287. Corbin, J. Strauss, A. (1990) Grounded theory research: Procedures, canons, and evaluative criteria. Qualitative Sociology, 13(1) 3!21. Danzig, R. (2011) Driving in the dark: Ten propositions about prediction and national security. Washington, DC: Center for a New American Security. Geller, A. Latek, M.M. Mussavi Rizi, S.M. Fink, C. MacKerrow, E. Bos, N.D. Thies, C. (2012) Data acquisition protocols for modeling and simulation of human emergency: A proposal for a workshop. Unpublished document. Latek, M.M. Mussavi Rizi, S.J. (2011) Robust decision making under strategic uncertainty in multiagent environments. In  Association for the Advancement of Artificial Intelligence. Merton, R.K. (1949) On sociological theories of the middle range. In R.K. Merton (Ed. On theoretical sociology: Five essays, old and new (pp. 39!53)  (2002) Policy analysis from first principles.  7267!7274. Moss, S. Edmonds, B. (2005) Towards good social science.  Retrieved from http:/jasss.soc.surrey.ac.uk/8/4/13.html Newell, A. Simon, H. (1961) Computer simulation of human thinking. Science, 124(3495) 2011!2017. Polhill, J.G. Parker, D. Brown, D. Grimm, V. (2008) Using the ODD protocol for describing three agent based social simulation models of land use change.  Retrieved from http:/jasss.soc.surrey.ac.uk/11/2/3.html Popper, S.W. Lempert, R.J. Bankes, S.C. (2005) Shaping the future.  (2008) Prolegomena to integrating cognitive modeling and social simulation. In R. Sun (Ed. Cognition and multi agent interaction (pp.
Adaptive quality control and acceptance of pavement material density for intelligent road construction
Year: 2016

During conventional road construction, quality control and acceptance (QC/QA) are based on limited spot tests of material density at random locations which may not be representative of the compacted area and may consist of potential bias. This research presented an innovative material machine information and human decision integrated system for adaptive QC/QA using the intelligent compaction (IC) technology to overcome the above limitation of conventional testing. In this integrated system, compaction properties such as material stiffness are monitored in real time with 100% coverage of compacted areas by instrumented IC rollers. By monitoring compaction process and roller ground interactions, this system can be used to determine compaction target values, which are in turn fed back to the IC system to optimize compaction efforts and improve construction quality. This approach can also be used to determine compaction uniformity for the as built in order to assess pavement performance. Recommended further development of the intelligent road construction technology is presented to fully leverage the IC technologies in the future.
Estuarine and coastal ocean carbon paradox: CO2 sinks or sites of terrestrial carbon incineration?
Venue: Annual review of marine science
Year: 2011

Estuaries are a major boundary in the land ocean interaction zone where organic carbon (OC) and nutrients are being processed, resulting in a high water to air carbon dioxide (CO2) flux (approximately 0.25 Pg C y( 1) The continental shelves, however, take up CO2 (approximately 0.25 Pg C y( 1) from the atmosphere, accounting for approximately 17% of open ocean CO2 uptake (1.5 Pg Cy( 1) It is demonstrated here that CO2 release in estuaries is largely supported by microbial decomposition of highly productive intertidal marsh biomass. It appears that riverine OC, however, would bypass the estuarine zone, because of short river transit times, and contribute to carbon cycling in the ocean margins and interiors. Low latitude ocean margins release CO2 because they receive two thirds of the terrestrial OC. Because of recent CO2 increase in the atmosphere, CO2 releases from low latitudes have become weaker and CO2 uptake by mid and high latitude shelves has become stronger, thus leading to more dissolved inorganic carbon export to the ocean.
PENGARUH MODAL SENDIRI, MODAL PINJAMAN DAN KREDIT YANG DISALURKAN TERHADAP SISA HASIL USAHA (SHU) PADA KOPERASI SIMPAN PINJAM (KSP)RUKUN IKHTIAR BANDUNG2000 2016
Year: 2019

Jenis penelitian yang digunakan adalah penelitian kualitatif. Pelaksanaan penelitian ini dilakukan di Koperasi Simpan Pinjam Rukun Ikhtiar yang berlokasi di Jl. Oto Iskandardinata, kota Bandung pada bulan Juli 2017. Data yang digunakan dalam penelitian ini adalah data sekunder dalam bentuk data Laporan Pertanggungjawaban Koperasi Simpan Pinjam Rukun Ikhtiar tahun buku 2000 2016. Teknik analisa data yang digunakan adalah analisis regresi linier berganda dengan menggunakan metode SPSS 16. Untuk menguji Hipotesis menggunakan teknik uji t dan uji F. Hasil penelitian menunjukkan bahwa (1) Modal sendiri berpengaruh signifikan terhadap SHU Koperasi Simpan Pinjam Rukun Ikhtiar yang diperoleh dengan t hitung nilai 5,129 t tabel sebesar 2,160. (2) Modal pinjaman tidak berpengaruh secara signifikan terhadap SHU Koperasi Simpan Pinjam Rukun Ikhtiar diperoleh dengan nilai t hitung 0,345 t tabel 2,160. (3) Kredit yang disalurkan tidak berpengaruh secara signifikan terhadap SHU Koperasi Simpan Pinjam Rukun Ikhtiar diperoleh dengan nilai t hitung 0,681 t tabel 2,160. (4) Ada pengaruh yang signifikan antara modal sendiri, modal pinjaman dan kredit yang disalurkan terhadap sisa hasil usaha (SHU) Koperasi Simpan Pinjam Rukun Ikhtiar dengan nilai Fcount 1,392 Ftabel 3,41 dan nilai signifikan 0,000
Derivation of rating curve by the Tsallis entropy
Year: 2014

The stage discharge relation, often called rating curve, is employed to determine discharge in natural and engineered channels. There are several methods for deriving a rating curve most of which are empirical. It is well recognized that rating curves are subjected to significant uncertainty, yet most of these methods do not have any provision to account for or do not quantify the uncertainty. This study employs the Tsallis entropy for deriving the rating curve, based on two simple constraints: (1) total probability and (2) mean discharge. Parameters of the derived curve are determined with the use of these two constraints. The rating curve is also determined by reparameterization with the use of an entropy parameter. The Tsallis entropy permits a probabilistic characterization of the rating curve and hence the probability density function of discharge underlying the curve. It also permits a quantitative assessment of the uncertainty of discharge obtained from the rating curve. The derived rating curve is found to be in agreement with field data and is also applied to ungaged watersheds. The rating curve is also extended beyond the range of discharge values used in its construction and its validity is then evaluated.
Relationship of Oxidative Stress as a Link between Diabetes Mellitus and Major Depressive Disorder
Venue: Oxidative medicine and cellular longevity
Year: 2019

Both conditions, major depressive disorder (MDD) and diabetes mellitus (DM) are chronic and disabling diseases that affect a very significant percentage of the world's population. Studies have been shown that patients with DM are more susceptible to develop depression, when compared to the general population. The opposite also happens; MDD could be a risk factor for DM development. Some mechanisms have been proposed to explain the pathophysiological mechanisms involved with these conditions, such as excess of glucocorticoids, hyperglycemia, insulin resistance, and inflammation. These processes can lead to an increase in damage to biomolecules and a decrease in antioxidant defense capacity, leading to oxidative stress.
Continuous operation of an ultra low power microcontroller using glucose as the sole energy source.
Venue: Biosensors bioelectronics
Year: 2017

An ultimate goal for those engaged in research to develop implantable medical devices is to develop mechatronic implantable artificial organs such as artificial pancreas. Such devices would comprise at least a sensor module, an actuator module, and a controller module. For the development of optimal mechatronic implantable artificial organs, these modules should be self powered and autonomously operated. In this study, we aimed to develop a microcontroller using the BioCapacitor principle. A direct electron transfer type glucose dehydrogenase was immobilized onto mesoporous carbon, and then deposited on the surface of a miniaturized Au electrode (7mm2) to prepare a miniaturized enzyme anode. The enzyme fuel cell was connected with a 100 mF capacitor and a power boost converter as a charge pump. The voltage of the enzyme fuel cell was increased in a stepwise manner by the charge pump from 330mV to 3.1V, and the generated electricity was charged into a 100mF capacitor. The charge pump circuit was connected to an ultra low power microcontroller. Thus prepared BioCapacitor based circuit was able to operate an ultra low power microcontroller continuously, by running a program for 17h that turned on an LED every 60s. Our success in operating a microcontroller using glucose as the sole energy source indicated the probability of realizing implantable self powered autonomously operated artificial organs, such as artificial pancreas.
Sampling optimization for networked underwater gliders
Venue: OCEANS 2016 Shanghai
Year: 2016

This paper focuses on coverage sampling over a given region by a fleet of underwater gliders. The coverage performance is evaluated by the observing uncertainty performed by Objective Analysis (OA) Deployed gliders are commonly restricted to move through transects along which the data collected are convenient for data assimilation. We optimize the initial location and the initial heading of each glider that are deployed into an interested region by using Generic Algorithm (GA) Two cases of environmental sampling tasks are used for verifying the proposed approach.
Hindsight Experience Replay
Venue: NIPS
Year: 2017

Dealing with sparse rewards is one of the biggest challenges in Reinforcement Learning (RL) We present a novel technique called Hindsight Experience Replay which allows sample efficient learning from rewards which are sparse and binary and therefore avoid the need for complicated reward engineering. It can be combined with an arbitrary off policy RL algorithm and may be seen as a form of implicit curriculum. We demonstrate our approach on the task of manipulating objects with a robotic arm. In particular, we run experiments on three different tasks: pushing, sliding, and pick and place, in each case using only binary rewards indicating whether or not the task is completed. Our ablation studies show that Hindsight Experience Replay is a crucial ingredient which makes training possible in these challenging environments. We show that our policies trained on a physics simulation can be deployed on a physical robot and successfully complete the task.
PARTIAL LEAST SQUARE PADA PENGUKURAN USABILITAS APLIKASI SIMKOPSYAH
Year: 2017

Pembuatan suatu aplikasi harus dilakukan dengan memperhatikan faktor kemudahan penggunaan (usability) Usability aplikasi penting untuk diperhatikan agar pengguna yang mengimplementasikan aplikasi tersebut merasa mudah untuk menggunakannya, memperoleh informasi yang diperlukan, dan tertarik untuk masuk lebih dalam pada aplikasi. Penelitian ini dilakukan untuk menganalisis apakah aplikasi SIMKOPSYAH memiliki akseptabilitas berdasarkan kriteria usability aplikasi. Penelitian dilakukan dengan menggunakan kuesioner sebagai instrumen penelitian. Kuesioner penelitian yang disebar terdiri atas 45 pertanyaan Alat analisis yang digunakan adalah Partial Least Square (PLS) pada program SmartPLS versi 2.0. Berdasarkan pengolahan data diperoleh hasil bahwa dari 5 variabel usability yang digunakan pada kuesioner, hanya 1 variabel yang signifikan digunakan untuk menganalisis usability aplikasi yaitu error/lain lain. Dari 5 variabel tersebut aplikasi SIMKOPSYAH belum memenuhi 4 variabel lainnya sehingga dapat disimpulkan bahwa aplikasi SIMKOPSYAH belum memenuhi kriteria kriteria usability. Faktor yang paling dominan mempengaruhi kenaikan tingkat usability adalah kesalahan dari dalam system dan kesalahan pengguna (ER) terutama cepat atau tidak pengguna memperbaiki kesalahan (ER5) sekaligus berpengaruh positif dalam menaikkan tingkat akseptabilitas aplikasi SIMKOPSYAH
Confort, securite et efficacite energetique de l'habitat Une installation electrique simple, sure et economique
Year: 2008

Si la maison domotique a longtemps releve de la science fiction, elle se concretise aujourd'hui avec l'habitat intelligent de Busch Jaeger Elektro GmbH. Cettefiliale d'ABB marque sa difference avec des solutions et produits innovants permettant de raccorder aisement les lots electriques d'un logement et de les piloter sans peine sur le reseau existant. Modulation de l'eclairage naturel, reglage de la temperature de confort, surveillance des ouvertures. les fonctionnalites du systeme Busch Jaeger sont legion. Les economies d'energie, la simplicite d'usage et d'installation, et la capacite d'evolution sont autant d'arguments qui valorisent la villa, le commerce ou l'edifice public (musee, hotel. equipe de cette technologie.
Predictors of avoidance towards personalization of restaurant smartphone advertising: A study from the Millennials' perspective
Year: 2015

This paper aims to examine the effect of privacy concern, irritation and personalization on Millennials' perceptions of personalized smartphone advertising avoidance in a restaurant context. The hospitality industry has witnessed a huge surge in mobile activity over the past few years. Mobility opens up a new communication channel and allows industry to connect with their guests in a more personalized way. However, not all customers welcome the personalized advertisements.  Data were collected from 159 Millennials enrolled in a large state university in the Eastern USA using an online self administered survey. These Millennials were asked to use a restaurant's smartphone application for 30 days and then complete a survey based on their perceptions of personalized advertising. Descriptive analysis, reliability, factor analysis and regression analysis were used to evaluate the relationships among the four constructs: privacy concern, irritation, personalization and adv.
Bilan et enjeux des modeles de frottements tribologie et controle au service de la securite des transports
Year: 2006

Ce document se veut une aide a la conception (dimensionnement, mesures, commande, supervision) des systemes de transport (routiers, ferroviaires, dans le cadre des nouveaux enjeux de performance et de securite. Dans ce contexte, les modeles doivent pouvoir traduire des conditions de frottement fortement perturbees (temperature, pollution, huile, verglas, turbulences, courants marins. contrairement au cas des systemes mecaniques constitues de pieces en mouvement dans la lubrification est imposee. Aussi, le concepteur se heurte a plusieurs questions comment relier concretement les conditions d'adherence reelles aux parametres physiques des materiaux ou fluides en contact Dispose t on de modeles de frottements suffisamment simples pour etre simulables et identifiables en temps reel Quel modele utiliser selon le type de performance que l'on souhaite optimiser Dans tous les cas, la difficulte des mesures au niveau du contact stimule la recherche d'estimateurs (bases sur des modeles adequats) pour reconstruire en ligne des informations non directement mesurees ce qui necessite de croiser les connaissances en tribologie et en commande (modeles " boite noire " observateurs) Tel est l'objectif du travail propose. Nous y decrirons de maniere synthetique les caracteristiques du frottement d'un point de vue tribologique et donnerons un bilan complet des modeles de frottements apparus ces dernieres annees. Nous tenterons ensuite de cerner les problematiques qui doivent relier les modeles dynamiques des systemes etudies et les efforts de frottement (entrees inconnues) mais egalement les criteres de selection des modeles en fonction des applications.
Link prediction in temporal networks: Integrating survival analysis and game theory
Venue: Inf. Sci.
Year: 2019

Link prediction is an important task in complex network analysis and can be found in many real world applications such as recommendation systems, information retrieval, and marketing analysis of social networks. This paper focuses on studying the evolution mechanism of real world temporal networks. Specifically, given a set of temporal links during a fixed time window, how to predict the existence of links at any point in the future. To address this problem, we propose a novel semi supervised learning framework, which integrates both survival analysis and game theory. First, we carefully define the adjacent network sequence, and make use of time stamp on each link to generate the baseline network evolution sequence. Next, to capture the law of network evolution, we employ the Cox Proportional Hazard Model (Cox PHM) to study the relative hazard associated with each temporal link, so as to estimate the coefficients of covariates, which are defined as a set of neighborhood based proximity features. To narrow the area of inquiry, we further propose a game theory based two way selection mechanism to predict the future network topology. We finally encapsulate these two new technologies in a robust Autonomy Oriented Computing (AOC) multi agent system, and propose a paralleled algorithm to conduct the temporal link prediction task. Extensive experiments were applied to real world temporal networks to demonstrate both effectiveness and scalability of the proposed approach.
Towards M Adhesive Categories of Corecursive Graphs
Venue: ArXiv
Year: 2017

In this contribution we investigate several extensions of the powerset that comprise arbitrarily nested subsets, and call them superpower set. This allows the definition of graphs with possibly infinitely nested nodes. additionally we define edges that are incident to edges. Since we use coalgebraic constructions we refer to these graphs as corecursive graphs. The superpower set functors are examined and then used for the definition of M adhesive categories which are the basic categories forM adhesive transformation systems. So, we additionally show that coalgebras SetsF are M adhesive categories provided the functor F Sets Sets preserves pullbacks along monomorphisms.
Nonalcoholic fatty liver disease burden Saudi Arabia and United Arab Emirates, 2017 2030
Venue: Saudi journal of gastroenterology official journal of the Saudi Gastroenterology Association
Year: 2018

Due to epidemic levels of obesity and type 2 diabetes mellitus (DM) nonalcoholic fatty liver disease (NAFLD) and resulting nonalcoholic steatohepatitis (NASH) will be driving factors in liver disease burden in the coming years in Saudi Arabia and United Arab Emirates (UAE)  Models were used to estimate NAFLD and NASH disease progression, primarily based on changes in adult prevalence rates of adult obesity and DM. The published estimates and expert interviews were used to build and validate the model projections.  In both countries, the prevalence of NAFLD increased through 2030 parallel to projected increases in the prevalence of obesity and DM. By 2030, there were an estimated 12,534,000 NAFLD cases in Saudi Arabia and 372,000 cases in UAE. Increases in NASH cases were relatively greater than the NAFLD cases due to aging of the population and disease progression. Likewise, prevalent cases of compensated cirrhosis and advanced liver disease are projected to at least double by 2030, while annual incident liver deaths increase in both countries to 4800 deaths in Saudi Arabia and 140 deaths in UAE.  Continued high rates of adult obesity and DM, in combination with aging populations, suggest that advanced liver disease and mortality attributable to NAFLD/NASH will increase across both countries. Reducing the growth of the NAFLD population, along with potential therapeutic options, will be needed to reduce liver disease burden.
Energy and Exergy Analysis of Different Exhaust Waste Heat Recovery Systems for Natural Gas Engine Based on ORC
Venue: Energies
Year: 2019

Waste heat recovery (WHR) from exhaust gases in natural gas engines improves the overall conversion efficiency. The organic Rankine cycle (ORC) has emerged as a promising technology to convert medium and low grade waste heat into mechanical power and electricity. This paper presents the energy and exergy analyses of three ORC WHR configurations that use a coupling thermal oil circuit. A simple ORC (SORC) an ORC with a recuperator (RORC) and an ORC with double pressure (DORC) configuration are considered; cyclohexane, toluene, and acetone are simulated as ORC working fluids. Energy and exergy thermodynamic balances are employed to evaluate each configuration performance, while the available exhaust thermal energy variation under different engine loads is determined through an experimentally validated mathematical model. In addition, the effect of evaporating pressure on the net power output, thermal efficiency increase, specific fuel consumption, overall energy conversion efficiency, and exergy destruction is also investigated. The comparative analysis of natural gas engine performance indicators integrated with ORC configurations present evidence that RORC with toluene improves the operational performance by achieving a net power output of 146.25 kW, an overall conversion efficiency of 11.58% an ORC thermal efficiency of 28.4% and a specific fuel consumption reduction of 7.67% at a 1482 rpm engine speed, a 120.2 L/min natural gas flow, 1.784 lambda, and 1758.77 kW of mechanical engine power.