Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS KEMAMPUAN INTELIGENSI ATLET CABANG OLAHRAGA SEPAK TAKRAW PROVINSI GORONTALO

Penelitian ini bertujuan untuk mengetahui kemampuan inteligensi atlet Pelatda PON ke-XIX cabang olahraga sepak takraw di Provinsi Gorontalo tahun 2016. Jenis penelitian adalah deskriptif. Metode yang digunakan adalah survei dengan teknik pengumpulan data menggunakan angket. Populasi dalam penelitian ini adalah atlet peltda PON ke-XIX cabang olahraga sepak takraw di Provinsi Gorontalo tahun 2016 dibawah binaan para pelatih yang ada di PPLP dengan jumlah atlet 13 orang. Sampel yang di ambil dari hasil total sampling berjumlah 13. Instrumen yang digunakan adalah angket. Analisis data menggunakan deskriptif presentase. Berdasarkan hasil analisis menunjukan bahwa secara umum yang banyak memberikan pengaruh yaitu faktor kebebasan dengan jumlah presentasenya adalah 135,8%, faktor pembawaan dengan jumlah presentase 85,1%, faktor pembentukan dengan jumlah presentase 64,4%, faktor kematangan dengan jumlah presentasenya 55,6% dan terakhir adalah faktor minat dan pembawaan yang khas yaitu dengan jumlah presentase yaitu 30,7%. Nilai rata-rata tingkat inteligensi atlet Peltda PON ke-XIX cabang olahraga sepak takraw di Provinsi Gorontalo tahun 2016 yaitu 41,9 berada pada kategori “cukup”
Classification of Frontal EEG Signals of Normal Subjects to Differentiate Gender by Using Artificial Neural Network

Varying mental states of an individual can influence their brainwave patterns. This is also true for individuals of different gender, where a male’s EEG signal is different from a female’s EEG signal. This provides a context for our research, where our main aim is to classify different patterns of EEG based on different gender. This paper presents our initial study to classify gender of normal subjects based on their frontal EEG signals. Forty normal subjects have participated in this experiment, where their EEG signals have been recorded for analysis purpose. The recorded raw EEG data is first pre-processed and filtered into 4 different frequency subbands. Two types of analysis were then conducted; the first analysis took into consideration all four sub-bands of frontal EEG, whereas the second analysis only considered two subbands namely alpha and beta bands. The features extracted from the selected sub-bands are in the form of EEG Energy Spectral Density (ESD) values, which are then fed into an Artificial Neural Network (ANN) classifier for classification purpose; i.e. to distinguish between male and female. Based on results obtained from the analysis, it is found that higher classification accuracy can be achieved from combining four sub-bands when compared to if only two sub-bands (alpha and beta) are being considered.
Direct photon elliptic flow in Pb-Pb collisions at √sNN = 2.76 TeV

The elliptic flow of inclusive and direct photons was measured at mid-rapidity in two centrality classes 0–20% and 20–40% in Pb–Pb collisions at sNN = 2.76 TeV by ALICE. Photons were detected with the highly segmented electromagnetic calorimeter PHOS and via conversions in the detector material with the e+e− pairs reconstructed in the central tracking system. The results of the two methods were combined and the direct-photon elliptic flow was extracted in the transverse momentum range 0.9 < pT < 6.2 GeV/c. A comparison to RHIC data shows a similar magnitude of the measured direct-photon elliptic flow. Hydrodynamic and transport model calculations are systematically lower than the data, but are found to be compatible. ∗See Appendix A for the list of collaboration members ar X iv :1 80 5. 04 40 3v 2 [ nu cl -e x] 2 F eb 2 01 9 Direct photon elliptic flow in Pb–Pb ALICE Collaboration
Pengaruh Substitusi Tepung Terigu Dengan Tepung Pisang Kepok (Musa Acuminata L.) terhadap Kadar Protein, Kadar Serat, Daya Kembang, dan Mutu Hedonik Bolu Kukus

Tujuan dari penelitian ini untuk mengetahui pengaruh substitusi tepung terigu dengan tepung pisang terhadap kadar protein, kadar serat kasar, daya kembang, dan mutu hedonik pada bolu kukus. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan substitusi tepung pisang kepok pada formulasi bolu kukus, yaitu T0 = 0%, T1 = 15%, T2 = 30%, dan T3 = 45%. Parameter yang dianalisis adalah kadar protein, kadar serat kasar, daya kembang, dan mutu hedonik meliputi warna, rasa, aroma, tekstur, dan kesukaan secara keseluruhan (overall). Data hasil uji kadar protein, uji kadar serat kasar, dan uji daya kembang dianalisis dengan Analysis of Varian (ANOVA) untuk mengetahui pengaruh perlakuan, jika terdapat pengaruh dilanjutkan dengan uji Duncan Multiple Range Test (DMRT). Data hasil uji hedonik dianalisis dengan uji non-parametrik Kruskal Wallis Test dan dilanjutkan menggunakan Mann Whitney U Test. Hasil penelitian menunjukkan terdapat pengaruh nyata terhadap kadar protein, kadar serat, daya kembang, warna, tekstur, dan kesukaan keseluruhan. Tepung pisang belum mampu menggantikan tepung terigu baik sebagian atau seluruhnya, kecuali untuk meningkatkan serat kasar.
On Generalized (α, ψ, MΩ)-Contractions with w-Distances and an Application to Nonlinear Fredholm Integral Equations

The study of asymmetric structures and their applications in mathematics is interesting. One of the types of asymmetric structures on a metric space has been initiated by Kada et al. (1996) and is known as a w-distance. That lack of symmetry attracts many researchers in fixed point theory. In this manuscript, we introduce a new type of contraction named generalized ( α , ψ , M Ω ) -contractive mappings via w-distances, and then we prove some new related fixed point results, generalizing and improving the recent results of Lakzian et al. (2016) and others. At the end, we give some examples. To illustrate the usability of the new theory, we apply our obtained results to resolve a nonlinear Fredholm-integral-type equation.
Estimating deciduous broadleaf forest gross primary productivity by remote sensing data using a random forest regression model

Abstract. Gross primary productivity (GPP) is a significant indicator of terrestrial system carbon cycle and is one of the most important parameters of global climate change. Accurate modeling of GPP is important for understanding the changes of carbon dioxide in the atmosphere. Although many studies have been conducted to explore methods for estimating GPP, large uncertainties still exist among different models. The combination of remote sensing data with flux data is a feasible approach to determine site-based GPP. Using multisource remote sensing data, meteorological data obtained from Google Earth Engine, and GPP estimates from eddy covariance measurement, we present a model, based on the random forest regression (RFR) algorithm, to predict site-scale GPP. First, we train and tune the RFR model for 16 global deciduous broadleaf forest (DBF) flux sites by remote sensing-based drivers. Then we evaluate the RFR model’s performance by predicting GPP for the other eight DBF sites. Our results show that, compared with the MOD17A2H GPP product, this GPP prediction method improves modeling of GPP, with an R2 of 0.82 and an RMSE of 1.93 g C m − 2 d − 1. Contribution analysis shows that the enhanced vegetation index is the most important driver among input variables. Our study may provide a reliable method to predict GPP in global DBF, which is promising for different-scale evaluations of carbon sequestration.
A Review on Design Methods for Compliant Mechanisms

This paper gives a brief overview and comparison of the methods applied in the design of compliant mechanisms. Since the ﬁrst research works on the subject appeared in the 1980s, several methods have being conceived to analyze and design these mechanisms that gain part of their motion from the deﬂection of ﬂexible members rather than from movable joints only. The scope and limitations of the most widely used design tools in the ﬁeld; pseudo-rigid model based methods, optimization based methods), and a novel inverse design method are investigated and discussed.
On the excess charge problem in relativistic quantum mechanics

Wir untersuchen wie viele Elektronen ein Atom der Kernladungszahl Z binden kann. Dieses ist ein klassisches Problem der mathematischen Physik. Experimentell ist die Uberschussladung Q:=N−Z hochstens Eins. Ziel dieser Arbeit ist es, eine obere Schranke mathematisch fur realistische Modelle groser Atome (Z gros) herzuleiten. Fur grose Z sind relativistische Modelle wesentlich. Wir untersuchen zwei Modelle. Das erste Modell wurde von Brown und Ravenhall vorgeschlagen. Wahrend nichtrelativistische Modelle detailliert untersucht wurden, ist im Brown-Ravenhall-Modell nicht einmal klar, dass Q beschrankt ist. Um eine solche Schranke zu gewinnen, folgen wir eine Strategie von Benguria. Wir integrieren die Euler-Lagrange-Gleichung gegen das Moment |x|, was in der nichtrelativistischen Quantenmechanik erfolgreich angewendet wurde. Der Hauptunterschied liegt im Coulomb-Potential-Term. In der Schrodinger-Theorie ist |x|Z/|x| konstant. Aber in unserem Fall ist der entsprechende Term lambda+|x|lambda+Z/|x|lambda+, was keine Konstante mehr ist. Dabei bezeichnet lambda+ die Projektion auf den positiven Spektralraum von D0. Unser erstes Hauptergebnis ist, eine obere Schranke an dieses Operators. Im masselosen Fall zeigen wir sowohl eine positive obere als auch eine positive untere Schranke. Im massiven Fall zeigen wir die Existenz der positiven oberen Schranke. Im zweiten Teil haben wir Schranken an Q sowohl in der zeitabhangigen nichtrelativistischen Thomas-Fermi-Weizsacker-Theorie, der zeitabhangigen relativistischen Thomas-Fermi-Theorie als auch in der zeitunabhangigen relativistischen Thomas-Fermi-Weizsacker-Theorie hergeleitet und bewiesen. Das Thomas-Fermi-Funktional ist ein approximatives Energiefunktional, das von der Teilchendichte rho abhangt. Der Weizsacker-Term ist die fuhrende Korrektur zur Thomas-Fermi-Theorie. In der nichtrelativistischen TFW-Theorie wurde die Ionisierungsvermutung von Benguria und Lieb bewiesen. Wir zeigen zunachst, dass auch im relativistischen Fall die Energie nach unten beschrankt ist. Mithilfe diese Resultats zeigen wir die Existenz eines Minimierers und damit die Existenz einer Losung, wenn N inreichend klein ist. Um eine Schranke an Q zu gewinnen, verwenden wir dieselbe Idee wie im ersten Teil. Wir integrieren die Euler-Lagrange-Gleichung gegen das |x| multipliziert mit einer Funktion der Dichte. In diesem Fall ist die Anzahl der Elektronen N kleiner als CZ, wo C ungefahr 2,56 ist.
Soil Nutrient Bioavailability: A Mechanistic Approach

Chemistry of Soil-Nutrient Associations. Nutrient Absorption by Plant Roots. Nutrient Uptake by Plant Roots Growing in Soil. Modeling Nutrient Uptake by Plant Roots Growing in Soil. Interaction of Plant Roots with the Soil and Environment. Rhizosphere Microorganisms, Mycorrhizae, and Root Hairs. Nitrogen. Phosphorus. Potassium. Calcium. Magnesium. Sulfur. Boron. Copper. Iron. Manganese. Molybdenum. Zinc. Water. Application of the Mechanistic Uptake Model. Index.
Coordination of Local and Global Features: Fractal Patterns in a Categorization Task

ii I) Introduction. 1 1.1) Local and Global Processing. 1 1.2) Coordination across Scales. 4 1.3) Overview of Experiments. 9 II) Experiments. 11 2.1) Experiment 1. 11 2.1.1) Method. 11 2.1.2) Results and Discussion. 16 2.1.2.1) Proportion of Correct Answers. 17 2.1.2.2) Mean and Standard Deviation of Reaction Times. 18 2.1.2.3) Spectral Analyses. 20 2.2) Experiment 2. 24 2.2.1) Method. 25 2.2.2) Results and Discussion. 26 2.2.2.1) Proportion of Correct Answers. 26 2.2.2.2) Mean and Standard Deviation of Reaction Times. 29 2.2.2.3) Spectral Analyses. 33 2.2.2.4) Effect associated with the competition for attentional resources. 37 III) General Discussion. 40 IV) References. 47
Quantum Phonon Transport in Nanomaterials: Combining Atomistic with Non-Equilibrium Green’s Function Techniques

A crucial goal for increasing thermal energy harvesting will be to progress towards atomistic design strategies for smart nanodevices and nanomaterials. This requires the combination of computationally efficient atomistic methodologies with quantum transport based approaches. Here, we review our recent work on this problem, by presenting selected applications of the PHONON tool to the description of phonon transport in nanostructured materials. The PHONON tool is a module developed as part of the Density-Functional Tight-Binding (DFTB) software platform. We discuss the anisotropic phonon band structure of selected puckered two-dimensional materials, helical and horizontal doping effects in the phonon thermal conductivity of boron nitride-carbon heteronanotubes, phonon filtering in molecular junctions, and a novel computational methodology to investigate time-dependent phonon transport at the atomistic level. These examples illustrate the versatility of our implementation of phonon transport in combination with density functional-based methods to address specific nanoscale functionalities, thus potentially allowing for designing novel thermal devices.
A Novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

Sea-land segmentation is an important process for many key applications in remote sensing. Proper operative sea-land segmentation for remote sensing images remains a challenging issue due to complex and diverse transition between sea and land. Although several convolutional neural networks (CNNs) have been developed for sea-land segmentation, the performance of these CNNs is far from the expected target. This paper presents a novel deep neural network structure for pixel-wise sea-land segmentation, a residual Dense U-Net (RDU-Net), in complex and high-density remote sensing images. RDU-Net is a combination of both downsampling and upsampling paths to achieve satisfactory results. In each downsampling and upsampling path, in addition to the convolution layers, several densely connected residual network blocks are proposed to systematically aggregate multiscale contextual information. Each dense network block contains multilevel convolution layers, short-range connections, and an identity mapping connection, which facilitates features reuse in the network and makes full use of the hierarchical features from the original images. These proposed blocks have a certain number of connections that are designed with shorter distance backpropagation between the layers and can significantly improve segmentation results while minimizing computational costs. We have performed extensive experiments on two real datasets, Google-Earth and ISPRS, and compared the proposed RDU-Net against several variations of dense networks. The experimental results show that RDU-Net outperforms the other state-of-the-art approaches on the sea-land segmentation tasks.
Formation of Supermassive Black Hole Seeds in the First Galaxies

Frontier observations of quasars at redshifts z ≳ 6 suggest the existence of supermassive black holes of masses ≃ 109 M⊙ when the Universe was less than a billion years old. These objects most likely grew from smaller black hole seeds, although the origin of these seeds still remains unclear. We investigate the process of formation and evolution of supermassive black hole seeds in the first galaxies. First, we perform the highest-resolution hydrodynamical simulation to date to analyze the formation of a supermassive protostar of ≃ 0.1M⊙ at the center of an atomic cooling halo. We show that, although the gas fragments and forms a protostellar system, the system still accretes mass at rates high enough to become a massive black hole seed within a few hundred thousand years. Unfortunately, due to the high resolution achieved, these simulations become prohibitively expensive after ≃ 20 yr and we are not able to follow its development at later times. Instead, we describe the subsequent evolution using analytical methods and a one-zone model. We deduce a mass-radius relation for the growth of the protostar and utilize such relation to derive a sub-grid recipe for the accretion radius of sink particles in numerical simulations. Then, we use this sub-grid
DEMOKRASI DAN BUDAYA POLITIK LOKAL DI JAWA TIMUR MENURUT R. ZUHRO, DKK.

Abstrak Berdasarkan kajian yang dilakukan oleh R. Zuhro dkk. suksesi kepemimpinan lokal di Jawa Timur secara umum positif dan relatif demokratis. Tidak terjadi diskriminasi dalam pencalonan, baik karena faktor agama, afiliasi politik, etnis dan jenis kelamin. Semua warga masyarakat yang memenuhi syarat dapat mencalonkan diri sebagai kandidat. Selain nilai-nilai positif dalam konteks demokrasi lokal, Pilkades di Tulung Agung juga berpotensi menciderai demokrasi. Pertama, muculnya calon tunggal. Kedua, maraknya isu money politics. Meskipun sulit dibuktikan, pemilihan kepala desa di Jawa, termasuk di Jawa Timur, sejak masa dulu hingga era reformasi saat ini tidak bisa meniadakan Praktik money politics, yang berpotensi dapat menciderai demokrasi. Beberapa perilaku yang berpotensi menciderai demokrasi di masa yang akan datang dapat diminimalisasi melalui pendidikan politik secara terus-menerus sehingga masyarakat memiliki kedewasaan dalam berdemokrasi. Kata Kunci: Budaya Politik Lokal, Suksesi Lokal, Money Politics
Fits to the spectra of broad-line region of active galactic nuclei and opacities for two-photon pair production.

Based on the spectral analysis of a composite Hubble Space Telescope (HST) spectrum made of 184 quasar data, we model the emission lines of the broad-line region (BLR) using analytic functions. For simplicity of this paper we neglect effects of the continuum emission, which may be resulting from emission by the accretion disk, and assume the emission of the BLR to be composed of the most prominent emission lines that form as a result of ionization and recombination processes within regions of the BLR. We also calculate opacities for gamma-rays propagating in the BLR and interacting with the modeled emission to produce electron-positron ($e^{\pm}$) pairs.
Cart-O-matic project : autonomous and collaborative multi-robot localization, exploration and mapping. 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles.

The aim of the Cart-O-matic project was to design and build a multi-robot system able to autonomously map an unknown building. This work has been done in the framework of a French robotics contest called Defi CAROTTE organized by the General Delegation for Armaments (DGA) and the French National Research Agency (ANR). The scientific issues of this project deal with Simultaneous Localization And Mapping (SLAM), multi-robot collaboration and object recognition. In this paper, we will mainly focussed on the two first topics : after a general introduction, we will briefly describe the innovative simultaneous localization and mapping algorithm used during the competition. We will next explain how this algorithm can deal with multi-robots systems and 3D mapping. The next part of the paper will be dedicated to the multi-robot pathplanning and exploration strategy. The last section will illustrate the results with 2D and 3D maps, collaborative exploration strategies and example of planned trajectories.
In Search of Empathy Online: A Review of 100 Online Communities

Empathy, knowing, feeling and responding to the way another person feels, is so essential in some online communities that they can be described aptly as ‘empathic communities’. This paper discusses a review of 100 online communities. The aim of this review is to examine whether the existence of empathic communities is widespread and to compare these communities with a range of other online communities, whose focus includes religion, sports, pets, culture, science, etc. The results of our analysis suggest that empathic communities develop when patient support or emotional support topics are the focus of interest. Introduction Online communities are no longer confined to serving as a medium for the exchange of information and knowledge by technical people. Today, users from diverse cultural backgrounds, computer expertise, and interests turn to online communities to reach others. (Pitkow K (b) feeling what another person is feeling; and (c) responding compassionately to another person’s distress. This broad categorization provides the basis for our work on identifying and characterizing online communities that exhibit strong empathy which we will call empathic communities. Research has shown empathy to be strongest when people share a common experience (Ickes, 1997), common frame of mind (Ickes, 1993), and when they are increasingly exposed to empathy (Hodges and Wegner, p.139). Moreover, it has been observed that empathy is conveyed primarily through touch, gesture, gaze, and posture. (Eisenberg et al., 1989)(Lanzetta and Englis, 1989). This last finding is particularly interesting for online communities since the majority are text-based. An important question is how well and in what ways is empathy conveyed via text? In previous studies (Preece, 1998a, 1998b) we describe the importance of empathy in an online patient support community. Results showed that communicating empathy was as important as exchanging factual information. One of the aims of this review was, therefore, to see if empathy is a strong phenomenon in other online communities, and if so, what other characteristics tend to be associated with empathic communities. With the increased popularity of online communities, it is important to begin considering how empathic communities develop, change over time, and how we can characterize them. Answers to these questions will aid in improving the design of online communities for empathic communication. Method One hundred communities were selected from those available on the Internet through search engines. Selection of communities was ad hoc since the kind and number of communities on the Internet are changing daily. This was also an exploratory study. Classification of the sites was done separately by the two authors. There was high agreement between the authors and only one community was reclassified. The topic areas covered by the communities are: – patient and emotional support communities (59 communities), – other communities (41 communities), which comprise: cultural (4 communities), pets (5), religion (3), scientific (6), societal (5), sports (9), miscellaneous (9)
Constructing Cospectral and Comatching Graphs

The matching polynomial is a graph polynomial that does not only have interesting mathematical properties, but also possesses meaningful applications in physics and chemistry. For a simple graph, the matching polynomial enumerates the number of matchings of di erent sizes in it. Two graphs are comatching if they have the same matching polynomial. Two vertices u, v in a graph G are comatching if G\u and G\v are comatching. In 1973, Schwenk proved almost every tree has the same characteristic polynomial with another tree. In this thesis, we extend Schwenk's result to maximal limbs and weighted trees. We also give a construction using 1-vertex extensions for comatching graphs and graphs with an arbitrarily large number of comatching vertices. In addition, we use an alternative de nition of matching polynomial for multigraphs to derive new identities for the matching polynomial. These identities are tools used towards our 2-sum construction for comatching vertices and comatching graphs.