Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS PENGOLAHAN SAMPAH REDUCE, REUSE, DAN RECYCLE (3R) PADA MASYARAKAT DI KOTA PAYAKUMBUH

The problem of urban garbage has become a problem of the City Government. Based on the Periodic Report of 2014, the volume of garbage transported in Payakumbuh is 193-206 m3 per day or 5,750-5,833 m3 per month, and increased by 235-261 m3 per day or 6,210-6840 m3 per month in 2015. Payakumbuh Government issued Local Regulation Number 4 Year 2014 on garbage management, referring to the Law of the Republic of Indonesia number 18 of 2008. Regional Regulation contains about garbage management by using 3 R method (Reduce, Reuse, Recycle). Implementation of 3 R method involving community participation as garbage producer. The purposeof this research was to analyze community behavior of garbage processing 3R in Payakumbuh. Quantitative method was used in this research, is descriptive analytics with cross sectional design. Results and discussion, univariate analysis known to the respondents who work as much as 54 (56.2%), high knowledge of respondents more 71 (73%), more positive respondents 52 (54.17%), respondents who do processing garbage 3R higher 52 (54,17%). The result of bivariate analysis is known that there is relationship of attitude (p = 0,028) to 3R garbage processing. There is no relationship of job status (p = 0,122), knowledge (p = 0,36) to 3R garbage treatment. The existence of attitude relation on 3R garbage processing. It is hoped empowerment program will be improved, so that the community will be participate on 3 R garbage processing. (Reduse, Reuse, Recycle). Masalah persampahan perkotaan sudah menjadi masalah Pemerintah Kota. Berdasarkan Laporan Periodik perbulan tahun 2014, volume sampah diangkut di Kota Payakumbuh sebesar 193-206 m3 perhari atau 5.750-5.833 m3 perbulan, dan meningkat sebesar 235-261 m3 perhari atau 6.210-6840 m3 perbulan pada tahun 2015. Pemerintah Payakumbuh menerbitkan Peraturan Daerah Nomor 4 Tahun 2014 tentang pengelolaan sampah, mengacu pada Undang-Undang Republik Indonesia nomor 18 Tahun 2008. Peraturan Daerah berisi tentang pengelolaan sampah masyarakat dengan menggunakan metode 3 R (Reduce, Reuse, Recycle). Penerapan metode 3 R yang melibatkan peran serta masyarakat sebagai produsen sampah. Tujuan untuk menganalisis perilaku pengolahan sampah 3R Masyarakat di Kota Payakumbuh.Metode penelitian ini menggunakan metode penelitian kuantitatif, bersifat deskriptif analitik dengan desain cross sectional. Hasil dan pembahasan, analisis univariat diketahui responden yang bekerja sebanyak 54 (56,2 %), tingkat pengetahuan responden yang tinggi lebih banyak 71 (73%), sikap responden yang positif lebih banyak 52 (54,17%), responden yang melakukan pengolahan sampah 3R lebih tinggi 52 (54,17%). Hasil analisis bivariat diketahui ada hubungan sikap (p=0,028) terhadap pegolahan sampah 3R. Tidak ada hubungan status pekerjaan (p=0,122), pengetahuan (p=0,36) terhadap pengolahan sampah 3R. Adanya hubungan sikap terhadap pengolahan sampah 3R.Diharapkan program pemberdayaan lebih ditingkatkan, agar terbina kelompok masyarakat dalam melakukan pengolahan sampah 3 R. (Reduse, Reuse, Recycle).
Handling Optimization Under Uncertainty Using Intuitionistic Fuzzy-Logic-Based Expected Value Model

Uncertainty in parameters during deterministic optimization studies can have large impact on the outcome of the optimization result. It is pragmatic that these parameters are uncertain as they have direct link with real life scenarios, e.g. fuel price appearing as a parameter in objective function or constraints. However, their variability is ignored while solving the problem in a deterministic optimization framework. While mitigating the above mentioned scenario, it is, therefore, necessary to investigate the development of uncertainty handling techniques for a realistic optimization problem. In this work, we propose intuitionistic fuzzy expected value model (IFEVM), which assumes uncertain parameters as intuitionistic fuzzy variables and derives the solution out of an equivalent transformed deterministic formulation while defining the expected values of the objective functions and constraints. Intuitionistic fuzzy parameters can be regarded as a superset of the conventional fuzzy set where the aspect of non-determinacy of a fuzzy member to a set is additionally taken into account. The proposed IFEVM technique has been applied on two examples: first, with the Binh-korn's multi-objective test function where uncertain parameters are linearly related and next with a real life case study of industrial grinding operation having multiple numbers of non-linearly related uncertain parameters. The technique has been further applied to these case studies considering three different levels of risk scenarios e.g. optimistic, pessimistic and intermediate approaches. The IFEVM technique is fairly generic and advantageous, can be applied to any kind of system for handling uncertainty in parameters.
PEMANFAATAN LIGNIN DARI LIMBAH KULIT BUAH COKLAT SEBAGAI ADSORBEN LOGAM (Cu) DENGAN PENAMBAHAN CaCO3

Logam Cu dalam konsentrasi tertentu dapat memberikan efek toksik yang berbahaya bagi kehidupan manusia dan lingkungan di sekitarnya. Salah satu cara sederhana dan ekonomis yang dapat dilakukan untuk menyerap logam Cu dengan cara adsorpsi dengan menggunakan bahan berpori. Penelitian ini bertujuan untuk menentukan Waktu dan pH optimum pada proses penyerapan Cu oleh lignin. Sampel kulit Cacao didapatkan di Mamuju Sulawesi Barat, sampel diprepasi terlebih dahulu kemudian diektraksi dengan Benzen:Ethanol. Setelah itu lignin diisolasi menggunakan NaOH, kemudian diendapkan menggunakan H 2 SO 4 sehingga didapatkan sampel lignin murni. Lignin yang telah dikeringkan dikontakkan dengan larutan Cu pada Variabel pH dan Waktu. Dari hasil penelitian menunjukkan bahwa pH dan waktu kontak berpengaruh terhadap banyaknya konsentrasi Cu yang diadsorsi oleh lignin. Semakin banyak waktu yang dikontakkan antara larutan Cu dan lignin maka semakin banyak pula Cu yang diadsorpsi oleh lignin. Sedangkan pH basa akan menyebabkan berkurangnya daya kerja adsorben dari lignin, dan lebih baik pada pH Asam. Penelitian dapat disimpulkan bahwa pH optimum pada proses penyerapan logam Cu oleh lignin ialah pada pH larutan 6. Waktu kontak optimum pada proses penyerapan logam Cu oleh lignin ialah pada waktu 40 Menit.
Flat Patterns Extraction with Collinearity Models

The term collinear (flat) pattern means in this article, a set of a large number of feature vectors located on (or near) a plane in multidimensional feature space. Flat patterns extracted from large data set can provide a basis for modeling a local interactions in selected sets of features. Collinear patterns can be discovered in given data set through minimization of some kind of the convex and piecewise linear (CPL) criterion functions.
Increasing the sensitivity of LXe TPCs to dark matter by doping with helium or neon

Next generation liquid xenon TPCs are poised to increase our sensitivity to dark matter by two orders of magnitude over a wide range of possible dark matter candidates. This proceedings describes an idea to expand the reach and flexibility of such detectors even further, by adding helium and neon to the xenon to enable searches for very light dark matter and combining high and low Z targets in the same detector. Adding helium or neon to LXe-TPCs has many advantages. First, the helium or neon target benefits from the excellent self-shielding provided by a large liquid xenon detector. Second, the same instrumentation, PMTs, and data acquisition can be used. Third, light nuclei are more robust to the systematic uncertainties that affect light WIMP searches. Fourth, helium and neon recoils will likely produce larger signals in liquid xenon than xenon recoils, achieving lower energy thresholds, and further increasing the sensitivity to light WIMPs. Lastly, by adding He/Ne in sequence after a Xe-only run, the source of any observed signal can be isolated.
Mathematical Programs with Equilibrium Constraints: Preface

This book provides a solid foundation and an extensive study for an important class of constrained optimization problems known as Mathematical Programs with Equilibrium Constraints (MPEC), which are extensions of bilevel optimization problems. The book begins with the description of many source problems arising from engineering and economics that are amenable to treatment by the MPEC methodology. Error bounds and parametric analysis are the main tools to establish a theory of exact penalisation, a set of MPEC constraint qualifications and the first-order and second-order optimality conditions. The book also describes several iterative algorithms such as a penalty-based interior point algorithm, an implicit programming algorithm and a piecewise sequential quadratic programming algorithm for MPECs. Results in the book are expected to have significant impacts in such disciplines as engineering design, economics and game equilibria, and transportation planning, within all of which MPEC has a central role to play in the modelling of many practical problems.
A paper-based microfluidic device with cotton thread channels based on surface acoustic wave

ABSTRACT A new paper-based microfluidic device is fabricated on a piezoelectric substrate. A polydimethylsiloxane channel filled with cotton threads is mounted on the piezoelectric substrate with an interdigital transducer. A testing filter paper with dried reaction solution is coated on the end of the cotton thread. Sample solution is driven to the cotton thread channel and transported to testing area for microfluidic analysis. Red ink solution and color development reaction of starch are demonstrated for microfluidic operation and analysis. Results show that the linear velocity of microfluidic transportation in the cotton thread channel is 4.558 mm/s, and color development reaction of starch is successfully implemented.
An Eulerian Approach to Optimal Transport with Applications to the Otto Calculus

An Eulerian Approach to Optimal Transport with Applications to the Otto Calculus Benjamin Schachter Doctor of Philosophy Graduate Department of Mathematics University of Toronto 2017 This thesis studies the optimal transport problem with costs induced by Tonelli Lagrangians. The main result is an extension of the Otto calculus to higher order functionals, approached via the Eulerian formulation of the optimal transport problem. Open problems 15.11 and 15.12 from Villani’s Optimal Transport: Old and New are resolved. A new class of displacement convex functionals is discovered that includes, as a special case, the functionals considered by Carrillo-Slepčev. Improved and simplified proofs of the relationships between the various formulations of the optimal transport problem, first seen in Bernard-Buffoni and Fathi-Figalli, are given. Progress is made towards developing a rigourous Otto calculus via the DiPerna-Lions theory of renormalized solutions. As well, progress is made towards understanding general Lagrangian analogues of various Riemannian structures.
Investigating Upper Atmospheric Joule Heating Using Cross‐Combination of Data for Two Moderate Substorm Cases

In this work, empirical relationships based on indices (AE, IL, and KP), an empirical model (Weimer‐2005), coupled space weather models (BATS‐R‐US+CRCM/RCM), and combinative methods (using data from SuperDARN for electric field and OVATION PRIME+IRI combination for the conductances) are employed to investigate the Joule heating (JH) variability during two isolated substorms on 8 March 2008. The results are compared according to substorm phases, magnetic local time sectors, magnetic latitudes, role of electric fields, ionospheric conductances, and neutral wind. Qualitatively, all methods exhibit similar variations in the estimated JH rates. AE‐dependent methods and the Weimer‐2005 model show the highest JH rates. The response of AE to the elevated Epsilon levels is found to be delayed up to 50 min, whereas the onsets and variations in the other methods are concurrent with Epsilon. The combination of OVATION Prime+IRI and SuperDARN provides values close to the (Foster et al., 1983, https://doi.org/10.1029/JA088iA06p04885) suggesting that it is representative enough to use for estimating the JH. The OVATION Prime+IRI and SuperDARN method can provide JH at any point in the solar cycle based on dynamic solar wind input. BATSRUS/CRCM conductances and electric fields are higher than BATSRUS/RCM leading to 2.5 times as much JH as estimated by BATSRUS/RCM on average. Neutral winds are found to comprise an overall 15% of total JH with a maximum of 25% in dusk sector during the expansion phase. We discuss that W05 and AE‐dependent methods overestimate the JH rates during the solar minimum since they are constructed using solar maximum data.
Séparation de sources dans des mélanges non linéaires

Cette these traite du probleme de la separation de sources dans les melanges non lineaires. Pour des melanges non lineaires quelconques, il est montre qu'il n'y a pas de solution basee sur la seule hypothese d'independance. Neanmoins, contraindre la transformation melangeante a appartenir a un certain ensemble permet de limiter les indeterminations. C'est le cas des melanges post non lineaires, pour lesquels on montre la separabilite avec les memes indeterminations que les melanges lineaires. La notion du gradient naturel est generalisee aux melanges non lineaires, ce qui conduit a des algorithmes adaptatifs equivariants. Du point de vue theorique, la derivation du critere d'independance fait apparaitre les fonctions score des sources inconnues. Apres l'etude de l'influence determinante des fonctions score sur les performances dans les melanges non lineaires, on propose plusieurs methodes d'estimation de ces fonctions. L'application des resultats theoriques aux melanges post non lineaires aboutit a deux algorithmes de separation efficaces. L'extension aux systemes non lineaires de wiener est etudiee en exploitant leur similarite avec les melanges post non lineaires (deconvolution non lineaire). Le dernier chapitre de cette these est consacre aux melanges lineaires sous-determines dont on etudie la separabilite ainsi que l'identifiabilite, et qui propose un resultat nouveau tres interessant sur la separabilite.
Dierential Power Analysis against the Miller Algorithm

Pairings permit several protocol simplications and original scheme creation, for example Identity Based Cryptography protocols. Initially, the use of pairings did not involve any secret entry, consequently, side channel attacks were not a threat for pairing based cryptography. On the contrary, in an Identity Based Cryptographic protocol, one of the two entries to the pairing is secret. Side Channel Attacks can be therefore applied to nd this secret. We realize a Dierential Power Analysis(DPA) against the Miller algorithm, the central step to compute the Weil, Tate and Ate pairing.
Maternal Embryonic Leucine Zipper Kinase (MELK) Reduces Replication Stress in Glioblastoma Cells*

Background: Protein kinase MELK is expressed at very high levels in glioblastomas, but it is not understood how this benefits tumor growth. Results: A deficiency of MELK causes replication stress and is associated with cell cycle arrest and senescence. Conclusion: MELK is required for progression through unperturbed S phase. Significance: The inhibition of MELK emerges as an attractive cancer therapy. Maternal embryonic leucine zipper kinase (MELK) belongs to the subfamily of AMP-activated Ser/Thr protein kinases. The expression of MELK is very high in glioblastoma-type brain tumors, but it is not clear how this contributes to tumor growth. Here we show that the siRNA-mediated loss of MELK in U87 MG glioblastoma cells causes a G1/S phase cell cycle arrest accompanied by cell death or a senescence-like phenotype that can be rescued by the expression of siRNA-resistant MELK. This cell cycle arrest is mediated by an increased expression of p21WAF1/CIP1, an inhibitor of cyclin-dependent kinases, and is associated with the hypophosphorylation of the retinoblastoma protein and the down-regulation of E2F target genes. The increased expression of p21 can be explained by the consecutive activation of ATM (ataxia telangiectasia mutated), Chk2, and p53. Intriguingly, the activation of p53 in MELK-deficient cells is not due to an increased stability of p53 but stems from the loss of MDMX (mouse double minute-X), an inhibitor of p53 transactivation. The activation of the ATM-Chk2 pathway in MELK-deficient cells is associated with the accumulation of DNA double-strand breaks during replication, as demonstrated by the appearance of γH2AX foci. Replication stress in these cells is also illustrated by an increased number of stalled replication forks and a reduced fork progression speed. Our data indicate that glioblastoma cells have elevated MELK protein levels to better cope with replication stress during unperturbed S phase. Hence, MELK inhibitors hold great potential for the treatment of glioblastomas as such or in combination with DNA-damaging therapies.
Investigation of the operating characteristics of a 12 stepped-cavity relativistic magnetron with axial extraction driven by an “F” transparent cathode using particle-in-cell simulations

We explore the performance of a 12 stepped-cavity relativistic magnetron with axial extraction (12 stepped-cavity RMDO) driven by an “F” transparent cathode (the “F” transparent cathode is a coaxial transparent cathode with two azimuthal periods of increased thickness and which looks like the letter “F,” so we call it “F” transparent cathode) through particle-in-cell (PIC) simulations. It is shown that using the “F” transparent cathode, an electronic efficiency of 70% with gigawatt output power is obtained while reducing the axial leakage current by about 50% compared to using the usual transparent cathode. Further PIC simulations demonstrate that frequency bifurcation occurs and mode switching can be achieved using several hundred kilowatts input RF power in the 12 stepped-cavity RMDO driven by an “F” transparent cathode. For example, it was found that using an applied driver power of 180 kW for 10 ns, the operating TE31 mode can be switched to the TE41 mode. It is also found that the secondary electron .
Multivariate calibration with robust signal regression

Motivated by a multivariate calibration problem from a soil characterization study, we proposed tractable and robust variants of penalized signal regression (PSR) using a class of non-convex Huber-like criteria as the loss function. Standard methods may fail to produce a reliable estimator, especially when there are heavy-tailed errors. We present a computationally efficient algorithm to solve this non-convex problem. Simulation and empirical examples are extremely promising and show that the proposed algorithm substantially improves the PSR performance under heavy-tailed errors.
Regression analysis of bivariate current status data under the proportional hazards model

This article discusses the regression analysis of bivariate current status or case I interval‐censored failure time data under the marginal proportional hazards model. Several estimation procedures have been proposed for this problem, but each method either applies only to limited situations or no theoretical justification has been provided. Using Bernstein polynomials and the copula model we develop a sieve maximum likelihood estimation approach that applies to more general situations. In particular this method leaves the underlying copula model completely unspecified and can be easily implemented. The proposed estimators are shown to be strongly consistent and the asymptotic normality and efficiency of the regression parameter estimator are established. Simulation studies are conducted to assess the performance of the proposed method. An illustrative example is also provided. The Canadian Journal of Statistics 45: 410–424; 2017 © 2017 Statistical Society of Canada
Bayesian multiple comparisons and model selection

The testing of multiple hypotheses is an important consideration in many statistical analyses. A theme for multiple comparisons problems under a frequentist paradigm is the need for an adjustment to control the overall error probability for the false detection of null effects. Our review will focus on Bayesian approaches to multiple comparisons problems. Under a Bayesian paradigm, multiplicity adjustments arise from a concern that many of the effects to be tested are null. We will discuss how Bayesian models provide a multiplicity adjustment through a prior placing increased probability on null effects, or through hierarchical modeling. We will also show how the Bayesian information criterion for model selection fits naturally into the study of multiple comparisons problems. WIREs Comput Stat 2018, 10:e1420. doi: 10.1002/wics.1420
ANÁLISE DO NÍVEL DE LEGENDA DE CLASSIFICAÇÃO DE AREAS URBANAS EMPREGANDO IMAGENS MULTIESPECTRAIS E HIPERESPECTRAIS COM OS MÉTODOS ÁRVORE DE DECISÃO C4.5 E FLORESTA RANDÔMICA

Ambientes urbanos representam uma das areas mais desafiadoras do sensoriamento remoto devido a grande diversidade encontrada nos materiais presentes na sua superficie. O uso de imagens com alta resolucao espacial e alta resolucao espectral surge como uma alternativa para aplicacoes urbanas, pois a combinacao destas duas caracteristicas permite uma melhor deteccao e discriminacao de alvos. O presente trabalho tem um duplo objetivo: i) avaliar dois conjuntos de dados na classificacao fina de alvos urbanos para dois niveis de legenda (com 11 e 38 classes de cobertura do solo): um deles composto exclusivamente por uma imagem orbital multiespectral (WV-2) e o outro conjunto composto exclusivamente por uma imagem aerotransportada hiperespectral (SpecTIR), ii) bem como testar o desempenho de dois metodos diferentes de classificacao de imagens, Arvore de Decisao C4.5 e Floresta Randomica (Random Forest), para ambos os niveis de legenda. Oito experimentos de classificacao foram realizados para atender a tais objetivos de investigar a eficacia dos sensores e dos metodos em dois niveis de detalhamento. Foram obtidas classificacoes de elevada acuracia. Demonstrou-se para todos os niveis de detalhamento e metodos que as classificacoes obtidas com dados do sensor SpecTIR apresentaram resultados significantemente superiores aos das classificacoes com dados do sensor WV-2.
Hydrodynamic Analysis of Podded Propellers

This paper presents computational techniques which couple a lifting surface method (MPUF-3A) for the unsteady cavitating flow analysis of propellers with an Euler solver (GBFLOW) and a Reynolds-Averaged Navier Stokes Solver (FLUENT) to predict the flow and the performance of various types of podded propellers such as pull, push and twin types. The time-averaged propeller force distributions are considered as source terms in the momentum equations of GBFLOW or FLUENT. The effect of viscosity on the effective wake and on the performance of each propeller, as well as on the forces on the pod and strut are assessed, and the results of the involved methods are validated with those measured in experiments.
Exact solutions of the classical Boussinesq system

Abstract In this paper, we study exact solutions of the classical Boussinesq (CB) system, which describes propagations of shallow water waves. By using the bilinear form, with exponential expansions, we obtain solitary wave solutions of the CB system. Based on asymptotic analysis method, we study the elastic and elastic–inelastic–coupled interactions of the obtained solitary wave solutions. With extended three–wave method, we obtain the periodic solitary solution of the CB system. And with polynomial expansions, we get the rational solutions of the CB system. These interesting exact solutions may be useful in the study of some phenomena appeared in shallow water waves.