Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilization of Limited Resources in Free School (Case Study at School of Masjid Terminal, Depok)

The ability of school to fulfill its operational needs is supported by resources availability in the school. One of the school's efforts to get resources including financial and physic is gathering school fee from its pupils. The existence of free school i.e. School of Masjid Terminal is enlightening local community in Depok, especially street children. Related to this phenomenon, the author did research in the school. The aims of this research were finding out the process of limited resources utilization in the school and analysis the process of supervision on resource utilization that takes place in the school. This research used a qualitative method with a case study approach. The writer highlights some findings such as each school resource is efficiently utilized so that each resource has multi-function in order to fulfill the school needs. The school leaders consider the school’s vision when they utilize the resource. The supervision of the school leadership focuses on the utilization of resources derived from community donation to ensure the trust of donors is maintained. The other finding was human resources with a voluntary system leads to a sense of shame in admonishing the performance of volunteers. Keywords—resource utilization; free school; voluntary system
Creative Strategy Of Documentary Films To Embrace College Students Viewers

For most college students, documentary films are not a well-liked film genre. A documentary film that shows reality without engineering is not interesting enough for college students who are accustomed to the dramatization of Hollywood and other mainstream film industries. This study aims to (1) find out the reasons why documentary films are less attractive to college students, and (2) formulate creative strategies in packaging documentary films that are able to attract them. This study uses qualitative methods with the object of research are college students of Universitas Sebelas Maret. The results of the study show that most college students viewers feel bored with the way the documentary film feels flat. To attract the college students audience, a documentary films need to consider a simple story, implementation of a dramatic structure, the use of modern visual techniques, the selection of distribution media, and the duration of the
An in SilicoApproach for Molecular Analysis of Î²-Lactamases

The emergence of bacteria resistant to several important classes of antibiotics has become a major clinical problem in the last decade. βLactamases are the main cause for resistance against β-lactam antibiotics, because they inactivate the antibiotics by hydrolysis of the β-lactam ring. With the introduction of newer generations of β-Lactam antibiotics, β-Lactamases are also rapidly evolving and increasing their spectrum of activity. The present study aims to investigate the changes produced in the enzymes which allow the adaptation of the βLactamases to new targets. For this protein sequences of the TEM, CTX-M, and SHV types of β-lactamases are analyzed using Insilco tools of BLAST search, Clustal and phylogenetic analysis. Multiple sequence alignment of βlactamase family enzymes would help in recognizing critically conserved residues that might contribute in β -lactam hydrolysis as conserved residues are vital for enzyme stability and/or function. The present work was aimed to identify new amino acid positions at which mutations can occur, to detect βlactamases with a determination of mutation profile between essential and non-essential residues that can play a key role in understanding the molecular details of β –lactamase mediated antibiotic resistance. Keywords— β-Lactam antibiotics; βLactamases; TEM; CTX-
Transcultural adaptation procedures for the dutch eating behavior questionnaire (DEBQ) for Brazil

The objective of this study was to translate the Dutch Eating Behavior Questionnaire (DEBQ) into Brazilian Portuguese and to evaluate the semantic, conceptual, idiomatic and cultural equivalence, content-related validity and level of verbal comprehension as an initial stage of its cross-cultural adaptation. Six stages were conducted: translation, synthesis of translations, back translation, synthesis of back translations; pilot test to evaluate the instrument and verbal comprehension by the target population; and content validity analysis by judges. The differences between the original and translated versions refer to language and culture, as they are very similar in meaning. The content validity index was excellent, with agreement level of 94.50% among specialists, for the entire scale. The items were easily understood by the target population. The Brazilian version of the DEBQ was approved by the original author and is ready to be tested for psychometric properties.
Nanogenerator as an active sensor for vortex capture and ambient wind-velocity detection

In this paper, we report a simple and practical composite structure for a nanogenerator (NG). The composite design using two kinds of piezoelectric materials, zinc oxide and poly(vinylidene fluoride), requires no more system size and complexity than for a single material, but improves the power density and sensitivity of the NG significantly. With no need of an external power source or batteries, the composite NG can efficiently convert the vortex motion in the atmosphere into electricity. Based on the Karman vortex street principle, ambient wind-speed measurements with the NG are demonstrated. Due to the simple structure, high sensitivity and good environment-friendly properties, the NG as an active sensor should play an important role in wireless environmental monitoring networks.
Embedding and Extensions : A General Framework for Dimensionality Reduction

Dimensionality reduction forms a cornerstone of data analysis. A variety of techniques have been proposed to solve this problem. This report first presents a review of these techniques based on their respective motivations, assumptions, strengths and weaknesses. The general framework for dimensionality reduction through graph embedding and its extensions is also assessed by examing assumptions behind the constructions of various similarity measures of different algorithms. Based on the insight of this framework, we first present some heuristics on how to design similarity matrix corresponding to certain data distribution. Then a new algorithm is proposed to overcome the sensitivity to noisy dimensions of nonlinear dimensionality reduction algorithms.
Determinación analítica de la cafeína en diferentes productos comerciales

Aquest projecte consta d’una part teorica on s’explica tant els diferents tipus de cafe, composicio I caracteristiques, aixi com el paper que desenvolupa la cafeina del cafe i com influeix sobre el cos huma. Tambe es fa una recopilacio d’un resum teoric sobre els dos metodes analitics utilitzats en els experiments per la determinacio quantitativa de la cafeina del cafe. La cromatografia de liquids d’alta resolucio (HPLC) i l’espectroscopia UVVIS. A la part experimental, es van realitzar diferents assajos fins a obtenir les condicions optimes en cadascuna de les tecniques per a la determinacio tant qualitativa con quantitativa de la cafeina, ajudant-nos de la interpolacio en una recta de calibratge confeccionada amb les solucions patro de cafeina de concentracio coneguda. Tambe es van assajar diferents metodes d’extraccio de la cafeina dels diferents cafes. Despres de posar a punt tant el metode de separacio de la cafeina del cafe com els metodes analitics utilitzats: HPLC i espectrofotometric, es va procedir a la determinacio quantitativa de la cafeina en diferents cafes comercials de divers origen i caracteristiques. Un cop efectuades totes les determinacions de cafeina en els diferents cafes, treballant sempre amb varies repeticions per poder realitzar un petit estudi estadistic dels valors obtinguts i assegurar la fiabilitat d’ells, es va intentar treure conclusions analitzant els valors de cafeina obtinguts i una d’elles es la demostracio, tal i com preveiem, de que la quantitat de cafeina depen tant del tipus de cafe, com del seu pais d’origen i del seu processat. En aquest projecte s’han tingut en compte les normes de bones practiques al laboratori (GLP) i criteris de sostenibilitat i el respecte pel medi ambient realitzant una bona gestio del residus generats.
Providing Multi-tenant Services with FPGAs: Case Study on a Key-Value Store

FPGAs can be used to speed up computation and data management tasks in various application domains. In cloud settings, however, high utilization is as important as high performance. In software it is common to co-locate different tenants' workloads on the same servers to increase utilization. Sharing an FPGA is more complex because applications take up physical space on the chip. Even though it is possible to physically partition the FPGA, tenants can have widely different requirements and their needs can also fluctuate over time. In this paper, we take a different approach and provide flexibility to the tenants who are interested in the same type of application but have different workloads and quality of service requirements. We demonstrate our approach of multi-tenant design using a key-value store service but the ideas generalize to other network-facing services as well. A key challenge of multi-tenancy is to efficiently share the underlying hardware while enforcing strict data and performance isolation between tenants. In this paper we demonstrate that, by following a single-pipeline design principle, it is possible to control each tenant's share of network bandwidth and computational resources even for complex, distributed operations. Furthermore, we show how state-machine based logic on the FPGA can be made tenant-aware without introducing significant context-switching overhead. Finally, our hardware design provides flexibility for changing per-tenant shares, allowing the same circuit to be used by one or multiple tenants without performance loss.
ACOUSTIC SCENE CLASSIFICATION BASED ON BINAURAL DEEP SCATTERING SPECTRA WITH CNN AND LSTM Technical Report

This technical report presents the solutions proposed by the Beijing Institute of Technology Modern Communications Technology Laboratory for the acoustic scene classification of DCASE2018 task1a. Compared to previous years, the data is more diverse, making such tasks more difficult. In order to solve this problem, we use the Deep Scattering Spectra (DSS) features. The traditional features, such as Mel-frequency Cepstral Coefficients (MFCC), often lose information at high frequencies. DSS is a good way to preserve high frequency information. Based on this feature, we propose a network model of Convolutional Neural Network (CNN) and Long Short-term Memory (LSTM) to classify sound scenes. The experimental results show that the proposed feature extraction method and network structure have a good effect on this classification task. From the experimental data, the accuracy increased from 59% to 76%.
Dynamic X-ray Imaging of Iodinated Contrast-Agent Clearance From a Living Mouse

23 million people in the United States alone.1 As such, scientists are actively researching ways to treat and slow the progression of such ailments. The primary means of studying the onset and progression of CKD and other renal disorders is to measure the glomerular filtration rate (GFR). Current methods of measuring kidney function involve the observation of creatinine and inulin clearance.1 Progression of CKD presents with a reduction in GFR, as measured by reduced creatinine and inulin clearance rates. Studies utilizing nonradioactive iodine X-ray contrast media have more recently been used in order to measure renal insufficiency.2,3 Iodinated contrast agents are a reliable measure of GFR through a bolus injection followed by blood sampling. This technique is used both in laboratory rats3 and in the clinic2 because the rate of contrast agent clearance can be measured reproducibly. Furthermore, administration of iodinated X-ray contrast media (iodixanol) produces no major changes in glomerular filtration rate and is a safe diagnostic tool in patients with kidney functions ranging from normal to end-stage renal disease.4,5
Testing the ability of topoclimatic grids of extreme temperatures to explain the distribution of the endangered brush‐tailed rock‐wallaby (Petrogale penicillata)

Many species are susceptible to climatic extremes, yet few fine‐scale studies consider the factors that determine the distribution of extreme temperatures at landscape and regional scales. These factors include cold air drainage, canopy cover and topographical exposure to winds and radiation. We used the brush‐tailed rock‐wallaby (Petrogale penicillata) to test whether innovative topoclimatic grids of extreme temperatures are an important predictor of regional‐scale species distributions.
Tail asymptotics for exponential functionals of Lévy processes: The convolution equivalent case

We determine the rate of decrease of the right tail distribution of the exponential functional of a Levy process with a convolution equivalent Levy measure. Our main result establishes that it decreases as the right tail of the image under the exponential function of the Levy measure of the underlying Levy process. The method of proof relies on fluctuation theory of Levy processes and an explicit path-wise representation of the exponential functional as the exponential functional of a bivariate subordinator. Our techniques allow us to establish rather general estimates of the measure of the excursions out from zero for the underlying Levy process reflected in its past infimum, whose area under the exponential of the excursion path exceed a given value.
Yangian symmetry for the action of planar 
N=4
 super Yang-Mills and 
N=6
 super Chern-Simons theories

In this article we establish the notion of classical Yangian symmetry for planar N=4 supersymmetric Yang-Mills theory and for related planar gauge theories. After revisiting Yangian invariance for the equations of motion, we describe how the bi-local generators act on the action of the model such that the latter becomes exactly invariant. In particular, we elaborate on the relevance of the planar limit and how to act non-linearly with bi-local generators on the cyclic action.
Parameterisation and impact of aerosol uptake of HO 2 on a global tropospheric model

Abstract. HO 2 is an important atmospheric trace gas, whose sink to aerosol is poorly understood yet significant. Previous parameterisations of the rate of uptake have been limited by the lack of laboratory studies. This paper creates a parameterisation for γ HO 2 based on the available laboratory studies. The calculated global mean γ HO 2 is 0.028, significantly lower than previous work (0.2). Modelled concentrations of HO 2 show significant regional sensitivity to the value of γ HO 2 (up to +106% at the surface with the parameterisation of γ HO 2 in this work as compared with a value of 0.2), but global sensitivity is small (+3.2%). The modelled response in O 3 is also highly regional, being up to +27% at the surface over China, and only +0.3% globally (with the parameterisation of γ HO 2 in this work as compared with a value of 0.2). The impact of γ HO 2 on sulfate is more complex, with up to +16% over China and −5% over high latitudes, resulting in a global change of +1.2% (with the parameterisation of γ HO 2 in this work as compared with a value of 0.2). Uncertainty in the reaction mechanism and hence products (previously assumed to be H 2 O 2 ) impacts the processing of sulfur and hence aerosol loads. Further laboratory studies are desirable to constrain the rate of reaction and to elucidate the reaction mechanism and products.
Semi-discrete unbalanced optimal transport and quantization

In this paper we study the class of optimal entropy-transport problems introduced by Liero, Mielke and Savare in Inventiones Mathematicae 211 in 2018. This class of unbalanced transport metrics allows for transport between measures of different total mass, unlike classical optimal transport where both measures must have the same total mass. In particular, we develop the theory for the important subclass of semi-discrete unbalanced transport problems, where one of the measures is diffuse (absolutely continuous with respect to the Lebesgue measure) and the other is discrete (a sum of Dirac masses). We characterize the optimal solutions and show they can be written in terms of generalized Laguerre diagrams. We use this to develop an efficient method for solving the semi-discrete unbalanced transport problem numerically. As an application we study the unbalanced quantization problem, where one looks for the best approximation of a diffuse measure by a discrete measure with respect to an unbalanced transport metric. We prove a type of crystallization result in two dimensions -- optimality of the triangular lattice -- and compute the asymptotic quantization error as the number of Dirac masses tends to infinity.
An SMT Approach to Automatic Annotation of Historical Text

In this paper we propose an approach to tagging and parsing of historical text, using characterbased SMT methods for translating the historical spelling to a modern spelling before applying the NLP tools. This way, existing modern taggers and parsers may be used to analyse historical text instead of training new tools specialised in historical language, which might be hard considering the lack of linguistically annotated historical corpora. We show that our approach to spelling normalisation is successful even with small amounts of training data, and that it is generalisable to several languages. For the two languages presented in this paper, the proportion of tokens with a spelling identical to the modern gold standard spelling increases from 64.8% to 83.9%, and from 64.6% to 92.3% respectively, which has a positive impact on subsequent tagging and parsing using modern tools.
Typing on a touch surface: Effect of feedback with horizontal touch keyboard and vertical display setup

Multi-touch touchpads and touchscreens have begun replacing traditional keyboard in certain laptops. Taking advantage of the flexibility of a touchscreen, these designs are expected to enable a more efficient use of the limited real estate of a laptop computer. However, a serious problem remains in that the soft keyboard on a touch screen does not always satisfy users owing to a lack of tactile cues, which is essential for text entry, particularly text entry without looking at the keyboard. We investigated ways to overcome this problem by adding various types of feedback to a touchscreen and evaluated their effectiveness through a controlled user test.
CS 231 N Project : Facial Expression Recognition

In this project, we investigated ways to leverage the representational power of convolutional neural networks to distinguish between seven emotions from pictures of facial expressions. We implemented a conv-reLU-pool architecture (with an increasing number of filters for deeper layers) followed by two affine layers and softmax loss. To eke out some extra accuracy, we also drew inspiration from knowledge distillation. Finally, we made use of saliency maps to get a sense of what our neural net managed to/failed to pick up on. Our final validation accuracy on the test was 60.7%.
Conservation education in zoos: A literature review

Zoos nowadays often claim that their main objective is nature conservation and that they strive to educate the visitors on this subject. A considerable amount of research has been undertaken on conservation education in zoos. This overview performs a qualitative meta-analysis of the methodology, concepts and results of research articles on zoo visitors, particularly regarding learning, education and conservation. Our main finding is that most of the research uses quantitative methodologies and the qualitative, lived experiences of zoo visits remain under-researched. Based on the articles analyzed, “nature conservation” (the substance of conservation education in zoos) becomes implicitly defined as captive breeding and far-off conservation projects, distancing the visitors and their daily lives from nature and issues of conservation.
rajectory esign of e-entry ehicles using co bined igeon Inspired pti ization and rthogonal ollocation ethod

This paper presents an orthogonal collocation based entry trajectory solution strategy using Pigeon Inspired Optimization (PIO). PIO is a swarm algorithm based on the homing behavior of pigeons. For the unpowered re-entry vehicle, bank angle modulation is considered as the primary control with a predefined nominal angle of attack profile. In this approach, bank angle is approximated using a higher order polynomial. This control variable is discretized at Chebyshev Lobatto collocation points. The value of bank angle at these points is obtained using PIO algorithm. The terminal constraints of entry trajectory are part of the objective function. After generating the entry trajectory referred to as reference trajectory, Linear Quadratic Regulator (LQR) control is used to track the reference trajectory for dispersions in the initial states at entry interface. Advantages of PIO algorithm are that it does not require an initial guess and that inequality constraints can be incorporated. This method is demonstrated by applying it to Common Aero Vehicle (CAV-H) with high lift to drag ratio.