Miracle-dz/UniFAR-FTUs huggingface dataset:
The dynamic relationship between money supply and economic growth

This study analyzes the influence of the financial sector to economic growth in Indonesia. The variables used are the country's financial sectors which are narrowÂ money (M1), broad money (M2) and money the broadest money (M3),Â with an interest rate as a control variable. Economic growth is represented byÂ Gross Domestic Product and producer price index. The analysis is performedÂ using an Autoregressive Distributed Lag model (ARDL). The stability test isÂ conducted using CUSUM test to see the changes in the structure and the effectÂ of disruption to financial sector development relationship of economic growth. Â ARDL analysis results indicate that the development of the financial sector hasÂ a significant relationship with the country's economic growth. CUSUM analysisÂ results suggest that the relationship of financial sector development-economicÂ growth is stable against changes in economic structure.
Three small transiting planets around the M dwarf host star LP 358-499

We report on the detection of three transiting small planets around the low-mass star LP 358-499 (K2-133), using photometric data from the Kepler-K2 mission. Using multiband photometry, we determine the host star to be an early M dwarf with an age likely older than a Gigayear. The three detected planets K2-133 b, c, and d have orbital periods of ca. 3, 4.9 and 11 days and transit depths of ca. 700, 1000 and 2000 ppm, respectively. We also report a planetary candidate in the system (EPIC 247887989.01) with a period of 26.6 days and a depth of ca. 1000 ppm, which may be at the inner edge of the stellar habitable zone, depending on the specific host star properties. Using the transit parameters and the stellar properties, we estimate that the innermost planet may be rocky. The system is suited for follow-up observations to measure planetary masses and JWST transmission spectra of planetary atmospheres.
Concrete process algebra

ion We have an abstraction mechanism if we allow renaming into the empty process. For instance, suppose that we have two atomic actions, say a and b. Let f(a) == a and feb) == e:. Then PI(ab) == a and we have abstracted from b. Table 22. Derivation rules for the encapsulation operator.
Optical domain subsampling for data-efficient optical coherence tomography (OCT)

Recent advances in optical coherence tomography (OCT) have led to higher-speed sources that support imaging over longer depth ranges. Limitations in the bandwidth of state-of-the-art acquisition electronics, however, prevent adoption of these advances into clinical applications. This thesis introduces optical-domain subsampling as a method for increasing the imaging range while reducing the acquisition bandwidth. Optically subsampled lasers utilize a discrete set of wavelengths to alias fringe signals along an extended depth range into a bandwidth limited window. By detecting the complex fringe signals and under the assumption of a depth-constrained signal, optical domain subsampling enables recovery of the depth-resolved scattering signal without overlapping artifacts. Key principles behind subsampled imaging will be discussed, as well as the design criteria for an experimental subsampled laser. A description of the laser, interferometer, data acquisition system, and signal processing steps is given, and the results of point spread functions compressed into a baseband window are presented. Images that were taken with the subsampled OCT system and a wide-field microscope show that this imaging scheme is viable in vivo and can advantageously image samples that span a long depth range. Thesis Supervisor: Benjamin J. Vakoc Title: Assistant Professor of Health Sciences and Technology, and Dermatology, HMS, MGH
Graph clustering by flow simulation

Dit proefschrift heeft als onderwerp het clusteren van grafen door middel van simulatie van stroming, een probleem dat in zijn algemeenheid behoort tot het gebied der clusteranalyse. In deze tak van wetenschap ontwerpt en onderzoekt men methoden die gegeven bepaalde data een onderverdeling in groepen genereren, waarbij het oogmerk is een onderverdeling in groepen te vinden die natuurlijk is. Dat wil zeggen dat verschillende data-elementen in dezelfde groep idealiter veel op elkaar lijken, en dat data-elementen uit verschillende groepen idealiter veel van elkaar verschillen. Soms ontbreken zulke groepjes helemaal; dan is er weinig patroon te herkennen in de data. Het idee is dat de aanwezigheid van natuurlijke groepjes het mogelijk maakt de data te categoriseren. Een voorbeeld is het clusteren van gegevens (over symptomen of lichaamskarakteristieken) van patienten die aan dezelfde ziekte lijden. Als er duidelijke groepjes bestaan in die gegevens, kan dit tot extra inzicht leiden in de ziekte. Clusteranalyse kan aldus gebruikt worden voor exploratief onderzoek. Verdere voorbeelden komen uit de scheikunde, taxonomie, psychiatrie, archeologie, marktonderzoek en nog vele andere disicplines. Taxonomie, de studie van de classificatie van organismen, heeft een rijke geschiedenis beginnend bij Aristoteles en culminerend in de werken van Linnaeus. In feite kan de clusteranalyse gezien worden als het resultaat van een steeds meer systematische en abstracte studie van de diverse methoden ontworpen in verschillende toepassingsgebieden, waarbij methode zowel wordt gescheiden van data en toepassingsgebied als van berekeningswijze. In de cluster analyse kunnen grofweg twee richtingen onderscheiden worden, naar gelang het type data dat geclassificeerd moet worden. De data-elementen in het voorbeeld hierboven worden beschreven door vectoren (lijstjes van scores of metingen), en het verschil tussen twee elementen wordt bepaald door het verschil van de vectoren. Deze dissertatie betreft cluster analyse toegepast op data van het type `graaf'. Voorbeelden komen uit de patroonherkenning, het computer ondersteund ontwerpen, databases voorzien van hyperlinks en het World Wide Web. In al deze gevallen is er sprake van `punten' die verbonden zijn of niet. Een stelsel van punten samen met hun verbindingen heet een graaf. Een goede clustering van een graaf deelt de punten op in groepjes zodanig dat er weinig verbindingen lopen tussen (punten uit) verschillende groepjes en er veel verbindingen zijn in elk groepje afzonderlijk.
The Standardized Nordic Questionnaire Applied to Workers Exposed to Hand‐Arm Vibration

The Standardized Nordic Questionnaire Applied to Workers Exposed to Hand‐Arm Vibration: Orawan Kaewboonchoo, et al. Department of Hygiene, School of Medicine, Wakayama Medical University—The standardized Nordic questionnaire (SNQ) is not yet widely used in Japan. This paper describes the possibility whether the SNQ, translated into Japanese, can be applied to workers exposed to hand‐arm vibration. The musculoskeletal symptoms of 40 chain saw operators (CS) in private forests and 40 age‐matched bush cleaner operators (BC) in the public service sector were assessed by the SNQ and the Japanese questionnaire (JQ). Both the SNQ and the JQ showed that CS had a higher prevalence of symptoms than BC. By the SNQ, there were significant differences in the prevalence of musculoskeletal symptom in the elbows, upper back and knees. By the JQ, CS had significantly higher prevalence of pain in the shoulders and elbows than BC. These results show the SNQ also fits the musculoskeletal symptoms and clearly differentiates between the prevalences in the two groups. The SNQ enables us to identify the severity, the duration, the treatment and the disability, but does not include items related to finger numbness and finger blanching. For that reason some JQ items should be applied to workers exposed to hand‐arm vibration.
The determinants of the duration of contraceptive use in China: an illustrative analysis of multinomial multilevel discrete hazards modelling.

Discrete-time hazards models which incorporated a random effect for unobserved heterogeneity and multicollinearity and competing risks were used to examine the duration of contraceptive usage in China during 1980-83 and 1984-88. Event history data were obtained from the 1988 National Survey of Fertility and Contraceptive prevalence on a 10% subsample from all provinces: 2375 ever married women 15-57 years old and 3361 spells of use and a sample from four provinces. Events were grouped as 1) contraceptive failure 2) other method-related discontinuations (expulsions method switches and side effects) 3) non method-related discontinuations (stopping to become pregnant or at menopause) and 4) continued use of the method. Duration of use was treated as a covariate and modeled non-parametrically when treated as a categorical variable (intervals of 6 months). Descriptive results revealed that 28% of women had more than one spell of contraceptive use. 5.1% of women experienced contraceptive failure more than once and 36.4% of all failures in the sample were multiple failures. 2.1% of women with more than 2 method-related failures accounted for 20.7% of discontinuations. Few women stopped for a non method-related failure more than once. Women up to 30 years old had a fairly constant percentage of use intervals ending in failure. Other method-related discontinuations peaked for women 27-29 years old. There was a higher percentage of discontinuations during 1980-83. Within the 100-month observation period there were few failures or method-related discontinuations after 48 months and none after 68 months. The results showed that among the still-using group the risk of failure increased then decreased as the duration of use increased. The odds of failure or discontinuation in the first 6 months was low. Duration of use was not a significant factor in explaining non method-related use. Risk for some or all types of discontinuation was significantly related to womens age at start of use cohort number of living children method educational level and residence. The random effect was significant for the risk of discontinuation due to method-related reasons only which suggested other factors related to women users not explained by the covariates in the model.
Stratégie de politique éducative pour une meilleure intégration régionale : Évaluation du nouvel examen de français des pays anglophones de la Caraïbe, le CAPE

Le Caribbean Examination Council, dit CXC, institution regionale en charge de la politique educative des pays anglophones de la region caribeenne, propose a l'heure actuelle deux qualifications regionales: le CSEC, Caribbean Secondary Education Certificate, introduit des les annees 1980, et le CAPE, Caribbean Advanced Proficiency Examinations, apparu en 1998. L'introduction du CAPE se situe dans le prolongement de celle du SCEC et a pour intention avouee de renforcer l'autonomie et l'identite caribeennes. A la veille de l'adoption generale du CAPE par les pays anglophones de la Caraibe, les A. se proposent d'en apprecier les principes fondateurs et de proceder a une evaluation de l'examen de francais langue etrangere, French Units 1&2 en contexte jamaicain. Dans un premier temps, ils analyseront les postulats qui justifient sa creation et jugeront de sa pertinence. Ensuite, une analyse des programmes officiels de French Units, enrichie d'une etude des examens et des resultats, mettra en evidence les objectifs, les contenus et les methodes d'evaluation. Il s'agira de voir dans quelle mesure le principe unificateur de la formation d'un citoyen caribeen ideal, a l'origine du CAPE, s'accorde avec l'elaboration d'un programme de francais langue etrangere et s'accomode de la realite jamaicaine. Des enquetes, menees en Jamaique aupres des professeurs enseignant les French Units, illustreront comment la transposition des consignes officielles se heurte a des obstacles tels que les conditions de travail, la formation des enseignants, ou encore les problemes de societe.
An IoT-aware Architecture to improve Safety in Sports Environments

The introduction of Internet of Things enabling technologies into the sport and recreational activities domain provide an interesting research challenge. Their adoption could significantly improve the sport experience and also the safety level of team sports. Despite this, only few attempts have been done to demonstrate the benefits provided by use of IoT technologies in sport environments. To fill this gap, this paper propose an IoT-aware Sport System based on the jointly use of different innovative technologies and standards. By exploiting the potentialities offered by an ultra-low-power Hybrid Sensing Network (HSN), composed of 6LoWPAN nodes integrating UHF RFID functionalities, the system is able to collect, in real time, both environmental parameters and players’ physiological data. Sensed data are then delivered to a Cloud platform where a monitoring application makes them easily accessible via REST Web Services. A simple proof of concept has demonstrated the appropriateness of the proposed solution.
Prenatal Exposure to Endocrine Disruptors and Cardiometabolic Risk in Preschoolers: A Systematic Review Based on Cohort Studies

Background: Follow-up studies have reported both positive and negative associations between prenatal exposure to endocrine disrupting chemicals (EDCs) and some anthropometric indicators of overweight and obesity in children. However, few studies have evaluated the effect of this exposure on cardiometabolic risk factors in preschool-age children. The health and disease development paradigm (DOHaD) proposes that the physiological and metabolic adaptations triggered by the exposure to these compounds, coupled with postnatal conditions, can modify the risk of disease. In this context, cardiometabolic risk factors in children are not only an important outcome derived from prenatal exposure but a predictor/mediator of the children’s future health. Objective: To conduct a systematic review of the evidence published in the last 10 years from cohort studies on the association between prenatal exposure to EDCs and cardiometabolic risk factors in preschoolers. Design: Studies published from January 1, 2007 to May 1, 2017 in PubMed were analyzed. The research strategy was based on specified keywords and following the application of strict inclusion/exclusion criteria, 16 studies were identified and reviewed. Data were extracted and aspects of quality were assessed using an adapted Newcastle–Ottawa scale for cohort studies. Results: Only 5 of the 16 studies reviewed analyzed cardiometabolic risk factors in addition to anthropometric measures in children. The cohort studies included in this review suggest that prenatal exposure to low concentrations of EDCs has an impact on anthropometric variables and biochemical parameters in preschool-age children. Positive associations between prenatal exposure to EDCs and percentage of fat mass, body mass index, waist circumference, skinfolds and risk of overweight persisted after adjustment for important confounding variables. No association was found with lipid profile and glucose levels. Conclusions: Evidence was found to suggest that prenatal exposure to EDCs is positively associated with cardiometabolic risk factors in preschool children.
Influence of fibre morphology and chemical composition on the papermaking potential of kenaf fibres : A look at what attributes affect tensile strength

Le kenaf (Hibiscus cannabinus) est une source de remplacement de matiere fibreuse sans bois pour la fabrication des pâtes et papiers. Nous traitons dans notre article de la courbe de raffinage des fractions fibreuses liberiennes et alveolaires. Les interactions entre la resistance a la rupture par traction, les facteurs morphologiques et les facteurs chimiques des fibres liberiennes uniquement sont ici presentees sous forme d'un modele regressif. Nous faisons mention du taux relatif de changement ou d'elasticite au plan de la resistance a la rupture par traction par rapport aux variables independantes de l'equation. De telles observations peuvent nous aider a mieux comprendre le potentiel que possedent les fibres liberiennes du kenaf dans les pâtes chimiques servant a la fabrication du papier.
A high-resolution CMOS sigma-delta A/D converter with 320 kHz output rate

A third-order switched-capacitor sigma-delta A/D converter is presented. The converter consists of three cascaded first-order sigma-delta modulators, and achieves 88 dB pk/rms S/(N+D) in a 160-kHz passband with a 10.24-MHz sampling rate. The high signal-to-noise ratio is maintained over this wide bandwidth by attenuating the quantization noise with a third-order noise-shaping function and a fourth-order comb decimation filter. A special autozeroed integrator with low pole error is required to achieve the 10.24-MHz sampling rate and high-order noise shaping simultaneously. <<ETX>>
Synthesis of SPICE-compatible broadband electrical models from n-port scattering parameter data

In this paper, an efficient technique for the synthesis of broadband electrical models from multiport scattering parameter data (S-parameter) is presented. A curve fitting algorithm is applied to either measured or simulated S-parameters to generate a frequency-dependent transfer-function matrix representation of the system of interest. By means of macromodel synthesis techniques an equivalent circuit network, consisting of standard circuit elements, is derived from the transfer-function matrix representation. The synthesized networks are compatible with SPICE-based circuit simulators, as demonstrated by numerical examples for a two-port and a four-port system. The proposed method is suitable for the analysis of S-parameter based linear sub-networks in a general circuit environment consisting of lumped/distributed elements and nonlinear devices.
Some New Developments on the Cryptanalysis of AES

Rijndael has been selected by NIST to become the Advanced Encryption Standard(AES)and published as FIPS 197 in November 2001.The cryptanalysis of AES is the most attentive problem at present.In this paper,some new developments on cryptanalysis of AES including Integral Cryptanalysis,Power Analysis and Algebraic Attack are introduced and some potential research ways are presented so as to draw our attention.
Ensembles of Crowds and Computers: Experiments in Forecasting

This paper explores the power of news sentiment to predict financial returns, in particular the returns of a set of European stocks. Building on past decision support work going back to the Delphi method this paper describes a text analysis expert weighting algorithm that aggregates the responses of both humans and algorithms by dynamically selecting the best response according to previous performance. The proposed system is tested through an experiment in which ensembles of experts, crowds and machines analyzed Thomson Reuters news stories and predicted the returns of the relevant stocks mentioned right after the stories appeared. The expert weighting algorithm was better than or as good as the best algorithm or human in most cases. The capacity of the algorithm to dynamically select best answers from humans and machines results in an evolving collective intelligence: the final decision is an aggregation of the best automated individual answers, some of these come from machines, and some from humans. Additionally, this paper shows that the groups of humans, algorithms, and expert weighting algorithms have associated with them particular news topics that these groups are good at making predictions from.
Large scale hierarchical text classification

Hierarchies are becoming increasingly popular for the organization of documents, particularly on the Web. Web directories, such as the Yahoo! Directory and the Dmoz Directory, are typical examples. Along with their widespread use, comes the need for automated classification of new documents to the classes of the hierarchy. In this thesis, we call this problem Large Scale Hierarchical Text Classification. It is a large scale classification problem, since the classes are thousands and the documents can be hundreds of thousands or even millions. It is also hierarchical, since the classes are connected by parent-child relations. An important issue in hierarchical classification is the evaluation of different classification algorithms, an issue which is complicated by the hierarchical relations among the classes. Several evaluation measures have been proposed for hierarchical classification using the hierarchy in different ways without however providing a unified view of the problem. In this thesis, we study the problem of evaluation in hierarchical classification by analysing and abstracting the key components of the existing performance measures. We also propose two alternative generic views of hierarchical evaluation and introduce two corresponding novel measures. The proposed measures, along with the state-of-the-art ones, are empirically tested on three large datasets from the domain of text classification. The empirical results illustrate the limitations of existing approaches and how the proposed methods overcome most of them across a range of cases. We then focus on the simplest case of large scale hierarchical text classification,
An Autonomous Traceability Mechanism for a Group of RFID Tags

Coupled Objects are an innovative way to ensure integrity of group of objects, or complex objects made of parts. This principle can be used in various applications such as logistic or security. The main property of coupled objects is that integrity checking is autonomous and does not depend on external information systems: all the necessary data are self contained in radio-frequency identification tags associated to the objects. This avoids important issues such as scalability and privacy, but the self-contained approach makes error diagnostics difficult when an integrity check fails. In this paper, we propose a solution to this problem, with a resilient data structure supporting the identification of missing elements in a coupled object. When some elements among the coupled objects are missing, it is possible to detect if the group is corrupted. Moreover, our approach also allows to identify the missing elements.
Adaptive simulation of the impact of changes in land use on water resources in the lower Aswa basin

In the lower Aswa basin, Uganda, the changes in land use due to complex demographic and social economic factors are among the numerous challenges facing management of the limited water resources. The current study analysed the degree to which water yield in the Aswa basin could be changed by altering the vegetation cover (here considered to be agricultural use and forest) at the basin and sub-basin level, and whether manipulation of vegetation cover can complement water resource management objectives in the study area. The distributed hydrological process Soil Water Assessment Tool (SWAT) model was used to simulate the impact of the changes in vegetation cover on water balance. The impact was compared with the water balance simulated using the year 2001 as baseline. The results showed that: 37.5% afforestation at the basin scale can reduce water yield by 15.85%; using 53.7% of the land for agriculture can increase water yield by 27.6%, while a combination of 23.2% forest and 52% agriculture can increase water yield by 24.85%. The location of forest and agricultural land cover with respect to rainfall regime also indicated a notable impact on sub-basin water balance. In particular, afforestation in sub-basins receiving less than 900 mm annual rainfall considered as dry showed minimum change in surface runoff and net water yield, while in sub-basins receiving more than 900 mm annual rainfall afforestation showed notable change in water yield. In this way, afforestation in dry sub-basins can be used to offset the afforestation pressure in the wet sub-basin without altering the basin water balance.